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ORCIDCoRR, February 2019
- Isaac Lage, Emily Chen, Jeffrey He, Menaka Narayanan, Been Kim, Sam Gershman, Finale Doshi-Velez:
An Evaluation of the Human-Interpretability of Explanation. - Andreas Varga:
Descriptor system techniques and software tools. - Elena Botoeva, Carsten Lutz, Vladislav Ryzhikov, Frank Wolter, Michael Zakharyaschev:
Query Inseparability for ALC Ontologies. - Dimche Kostadinov, Behrooz Razdehi, Slava Voloshynovskiy:
Network Parameter Learning Using Nonlinear Transforms, Local Representation Goals and Local Propagation Constraints. - Denis S. Krotov:
On dual codes in the Doob schemes. - Denis S. Krotov, Vladimir N. Potapov:
On two-fold packings of radius-1 balls in Hamming graphs. - Christopher Baik, H. V. Jagadish, Yunyao Li:
Bridging the Semantic Gap with SQL Query Logs in Natural Language Interfaces to Databases. - Scott Gigante
, Jay S. Stanley III, Ngan Vu, David van Dijk, Kevin R. Moon, Guy Wolf, Smita Krishnaswamy:
Compressed Diffusion. - Hédi Ben-Younes, Rémi Cadène, Nicolas Thome, Matthieu Cord:
BLOCK: Bilinear Superdiagonal Fusion for Visual Question Answering and Visual Relationship Detection. - David Melhart, Ahmad Azadvar, Alessandro Canossa, Antonios Liapis, Georgios N. Yannakakis:
Your Gameplay Says it All: Modelling Motivation in Tom Clancy's The Division. - Ashok Deb, Luca Luceri, Adam Badawy, Emilio Ferrara:
Perils and Challenges of Social Media and Election Manipulation Analysis: The 2018 US Midterms. - Andrija Petrovic, Mladen Nikolic, Milos Jovanovic, Boris Delibasic:
Gaussian Conditional Random Fields for Classification. - Shuyi Shen, Bernardo A. Huberman, Lin Cheng, Gee-Kung Chang:
Power Loading based on Portfolio Theory for Densified Millimeter-Wave Small-Cell Communications. - Ahmad Alhilal, Salah Dowaji:
Base Station Distance Adaptive LEACH. - Michael D. Iannacone, Robert A. Bridges:
A Holistic Approach to Evaluating Cyber Security Defensive Capabilities. - Audrey Sedal, Alan Wineman, R. Brent Gillespie, C. David Remy:
Comparison and Experimental Validation of Predictive Models for Soft, Fiber-Reinforced Actuators. - Yuesong Shen, Tao Wu, Csaba Domokos, Daniel Cremers:
Probabilistic Discriminative Learning with Layered Graphical Models. - Justin Chan, Thomas Rea, Shyamnath Gollakota, Jacob E. Sunshine:
Contactless Cardiac Arrest Detection Using Smart Devices. - Pragathi Praveena, Guru Subramani, Bilge Mutlu, Michael Gleicher:
Characterizing Input Methods for Human-to-robot Demonstrations. - (Withdrawn) Learning Triggers for Heterogeneous Treatment Effects.
- Meixin Zhu, Yinhai Wang, Jingyun Hu, Xuesong Wang, Ruimin Ke:
Safe, Efficient, and Comfortable Velocity Control based on Reinforcement Learning for Autonomous Driving. - Emanuele Fabbiani, Andrea Marziali, Giuseppe De Nicolao:
Short-term forecasting of Italian gas demand. - Emily Dinan, Varvara Logacheva, Valentin Malykh, Alexander H. Miller, Kurt Shuster, Jack Urbanek, Douwe Kiela, Arthur Szlam, Iulian Serban, Ryan Lowe, Shrimai Prabhumoye, Alan W. Black, Alexander I. Rudnicky, Jason D. Williams, Joelle Pineau, Mikhail Burtsev, Jason Weston:
The Second Conversational Intelligence Challenge (ConvAI2). - Eric Clarkson:
Probability of Error for Detecting a Change in a Parameter, Total Variation of the Posterior Distribution, and Bayesian Fisher Information. - Kyle Luther, H. Sebastian Seung:
Learning Metric Graphs for Neuron Segmentation In Electron Microscopy Images. - Iago A. Carvalho:
On the statistical evaluation of algorithmic's computational experimentation with infeasible solutions. - Eric Clarkson:
The Relation Between Bayesian Fisher Information and Shannon Information for Detecting a Change in a Parameter. - Bo Wang, Hao Hu, Caixia Zhang:
Geometric Interpretation of side-sharing and point-sharing solutions in the P3P Problem. - Per Kristian Lehre, Dirk Sudholt:
Parallel Black-Box Complexity with Tail Bounds. - Yanni Georghiades, Steven Flolid, Sriram Vishwanath:
HashCore: Proof-of-Work Functions for General Purpose Processors. - Da Li, Jianshu Zhang, Yongxin Yang, Cong Liu, Yi-Zhe Song, Timothy M. Hospedales:
Episodic Training for Domain Generalization. - Kunal Relia, Zhengyi Li, Stephanie H. Cook, Rumi Chunara:
Race, Ethnicity and National Origin-based Discrimination in Social Media and Hate Crimes Across 100 U.S. Cities. - Felix Hill, Adam Santoro, David G. T. Barrett, Ari S. Morcos, Timothy P. Lillicrap:
Learning to Make Analogies by Contrasting Abstract Relational Structure. - Zhaoyang Xu, Faranak Sobhani, Carlos Fernández Moro, Qianni Zhang:
US-net for robust and efficient nuclei instance segmentation. - Amir Ahmad, Shehroz S. Khan:
A Novel Initial Clusters Generation Method for K-means-based Clustering Algorithms for Mixed Datasets. - C. Sinan Güntürk, Weilin Li:
High-performance quantization for spectral super-resolution. - Ryan Marcus, Olga Papaemmanouil:
Plan-Structured Deep Neural Network Models for Query Performance Prediction. - Rui Paiva, Eduardo Silva Palmeira, Regivan H. N. Santiago, Benjamín R. C. Bedregal:
Lattice-valued Overlap and Quasi-Overlap Functions. - Xiang Zhang, Nicholas Woolsey, Mingyue Ji:
Cache-aided Interference Management Using Hypercube Combinatorial Cache Designs. - Kyungjae Lee, Sungyub Kim, Sungbin Lim, Sungjoon Choi, Songhwai Oh:
Tsallis Reinforcement Learning: A Unified Framework for Maximum Entropy Reinforcement Learning. - Stefano Sarao Mannelli, Florent Krzakala, Pierfrancesco Urbani, Lenka Zdeborová:
Passed & Spurious: analysing descent algorithms and local minima in spiked matrix-tensor model. - Julien M. Hendrickx, Alex Olshevsky, Venkatesh Saligrama:
Graph Resistance and Learning from Pairwise Comparisons. - Mehryar Mohri, Gary Sivek, Ananda Theertha Suresh:
Agnostic Federated Learning. - Amir Erfan Eshratifar, Amirhossein Esmaili, Massoud Pedram:
Towards Collaborative Intelligence Friendly Architectures for Deep Learning. - Hangjin Liu, Cynthia Rush, Dror Baron:
An Analysis of State Evolution for Approximate Message Passing with Side Information. - Bin Liu, Yue Cao, Mingsheng Long, Jianmin Wang, Jingdong Wang:
Deep Triplet Quantization. - Dinghan Shen, Asli Celikyilmaz, Yizhe Zhang, Liqun Chen, Xin Wang, Jianfeng Gao, Lawrence Carin:
Towards Generating Long and Coherent Text with Multi-Level Latent Variable Models. - Ulrik Lyngs, Kai Lukoff, Petr Slovák, Reuben Binns, Adam Slack, Michael Inzlicht, Max Van Kleek, Nigel Shadbolt:
Self-Control in Cyberspace: Applying Dual Systems Theory to a Review of Digital Self-Control Tools. - Angeline Aguinaldo, Ping-Yeh Chiang, Alexander Gain, Ameya Patil, Kolten Pearson, Soheil Feizi:
Compressing GANs using Knowledge Distillation. - Mengmi Zhang, Jiashi Feng, Karla Montejo, Joseph Kwon, Joo Hwee Lim, Gabriel Kreiman:
Lift-the-Flap: Context Reasoning Using Object-Centered Graphs. - Kai Sun, Dian Yu, Jianshu Chen, Dong Yu, Yejin Choi, Claire Cardie:
DREAM: A Challenge Dataset and Models for Dialogue-Based Reading Comprehension. - Minchul Kim, Jungwoo Lee:
Private Secure Coded Computation. - Aida Rahmattalabi, Anamika Barman-Adhikari, Phebe Vayanos, Milind Tambe, Eric Rice, Robin Baker:
Social Network Based Substance Abuse Prevention via Network Modification (A Preliminary Study). - Shikhar Vashishth, Prince Jain, Partha P. Talukdar:
CESI: Canonicalizing Open Knowledge Bases using Embeddings and Side Information. - Kentaro Yoshioka, Edward Lee, Simon Wong, Mark Horowitz:
Dataset Culling: Towards Efficient Training Of Distillation-Based Domain Specific Models. - Tengyang Xie, Philip S. Thomas, Gerome Miklau:
Privacy Preserving Off-Policy Evaluation. - Shikhar Vashishth, Shib Sankar Dasgupta, Swayambhu Nath Ray, Partha P. Talukdar:
Dating Documents using Graph Convolution Networks. - Dominique Beaini, Sofiane Achiche, Fabrice Nonez, Olivier Brochu Dufour, Cédric Leblond-Ménard, Mahdis Asaadi, Maxime Raison:
Fast and Optimal Laplacian Solver for Gradient-Domain Image Editing using Green Function Convolution. - Ryan Spring, Anastasios Kyrillidis, Vijai Mohan, Anshumali Shrivastava:
Compressing Gradient Optimizers via Count-Sketches. - Yash Chandak, Georgios Theocharous, James E. Kostas, Scott M. Jordan, Philip S. Thomas:
Learning Action Representations for Reinforcement Learning. - Wei Yang, Wei Lu, Vincent W. Zheng:
A Simple Regularization-based Algorithm for Learning Cross-Domain Word Embeddings. - Steven Jens Jorgensen, James Holley, Frank Mathis, Joshua S. Mehling, Luis Sentis:
Thermal Recovery of Multi-Limbed Robots with Electric Actuators. - Guangmo Tong:
Adaptive Influence Maximization under General Feedback Models. - Afshin Rahimi, Yuan Li, Trevor Cohn:
Multilingual NER Transfer for Low-resource Languages. - Lê Thành Dung Nguyên, Paolo Pistone, Thomas Seiller, Lorenzo Tortora de Falco:
Finite semantics of polymorphism, complexity and the power of type fixpoints. - Liao Wu, Ross Crawford, Jonathan Roberts:
Geometric interpretation of the general POE model for a serial-link robot via conversion into D-H parameterization. - Yiding Chen, Xiaojin Zhu:
Optimal Adversarial Attack on Autoregressive Models. - Matías R. Bender, Jean-Charles Faugère, Elias P. Tsigaridas:
Gr{ö}bner Basis over Semigroup Algebras: Algorithms and Applications for Sparse Polynomial Systems. - Ruihuan Du, Yu Zhong, Harikesh S. Nair, Bo Cui, Ruyang Shou:
Causally Driven Incremental Multi Touch Attribution Using a Recurrent Neural Network. - Katsuhito Nakashima, Diptarama Hendrian, Ryo Yoshinaka, Ayumi Shinohara:
Linear-size Suffix Tries for Parameterized Strings. - Siu-Wing Cheng, Man-Kwun Chiu, Kai Jin:
A note on self-improving sorting with hidden partitions. - Qiuyu Zhu, Ruixin Zhang:
A Classification Supervised Auto-Encoder Based on Predefined Evenly-Distributed Class Centroids. - Mladen Kovacevic, Sanja Brdar, Vladimir S. Crnojevic:
Some Enumeration Problems in the Duplication-Loss Model of Genome Rearrangement. - Ibrahim Anka Salihu, Rosziati Ibrahim, Bestoun S. Ahmed, Kamal Z. Zamli, Asmau Usman:
AMOGA: A Static-Dynamic Model Generation Strategy for Mobile Apps Testing. - Yuval Bahat, Michal Irani, Gregory Shakhnarovich:
Natural and Adversarial Error Detection using Invariance to Image Transformations. - Terry Shue Chien Lau, Chik How Tan:
Key Recovery Attack on Rank Quasi-Cyclic Code-based Signature Scheme. - Fan Wang, Xiaomin Fang, Lihang Liu, Yaxue Chen, Jiucheng Tao, Zhiming Peng, Cihang Jin, Hao Tian:
Sequential Evaluation and Generation Framework for Combinatorial Recommender System. - Anselm Haak, Juha Kontinen, Fabian Müller, Heribert Vollmer, Fan Yang:
Counting of Teams in First-Order Team Logics. - Christos Kaplanis, Murray Shanahan, Claudia Clopath:
Policy Consolidation for Continual Reinforcement Learning. - Feiyang Chen, Nan Chen, Hanyang Mao, Hanlin Hu:
The Application of Bipartite Matching in Assignment Problem. - Feiyang Chen, Nan Chen, Hanyang Mao, Hanlin Hu:
An efficient sorting algorithm - Ultimate Heapsort(UHS). - Shreyank N. Gowda, Chun Yuan:
ColorNet: Investigating the importance of color spaces for image classification. - Antonio Mazza, Francescopaolo Sica:
Deep Learning Solutions for TanDEM-X-based Forest Classification. - Jonathan Ho, Xi Chen, Aravind Srinivas, Yan Duan, Pieter Abbeel:
Flow++: Improving Flow-Based Generative Models with Variational Dequantization and Architecture Design. - Héctor García de Marina, Ewoud J. J. Smeur:
Flexible collaborative transportation by a team of rotorcraft. - Jeroen Berrevoets, Wouter Verbeke:
Causal Simulations for Uplift Modeling. - Bert De Brabandere, Wouter Van Gansbeke, Davy Neven, Marc Proesmans, Luc Van Gool:
End-to-end Lane Detection through Differentiable Least-Squares Fitting. - Ariel Barel, Rotem Manor, Alfred M. Bruckstein:
Probabilistic Gathering Of Agents With Simple Sensors. - Ambrus Kaposi, András Kovács:
Signatures and Induction Principles for Higher Inductive-Inductive Types. - Oleksii Sidorov, Jon Yngve Hardeberg:
Deep Hyperspectral Prior: Denoising, Inpainting, Super-Resolution. - Benjamin Doerr, Carola Doerr, Frank Neumann:
Fast Re-Optimization via Structural Diversity. - Oleksii Sidorov, Congcong Wang, Faouzi Alaya Cheikh:
Generative Smoke Removal. - Yuanzhi Liang, Yalong Bai, Wei Zhang, Xueming Qian, Li Zhu, Tao Mei:
Rethinking Visual Relationships for High-level Image Understanding. - Gregor Ulm, Emil Gustavsson, Mats Jirstrand:
OODIDA: On-board/Off-board Distributed Data Analytics for Connected Vehicles. - Seyed Ali Ossia, Borzoo Rassouli, Hamed Haddadi, Hamid R. Rabiee, Deniz Gündüz:
Privacy Against Brute-Force Inference Attacks. - Zheng Fang, Yanan Cao, Dongjie Zhang, Qian Li, Zhenyu Zhang, Yanbing Liu:
Joint Entity Linking with Deep Reinforcement Learning. - Rajalekshmi Kishore, Sanjeev Gurugopinath, Paschalis C. Sofotasios, Sami Muhaidat, Naofal Al-Dhahir:
Opportunistic Ambient Backscatter Communication in RF-Powered Cognitive Radio Networks. - Aythami Morales, Julian Fiérrez, Rubén Vera-Rodríguez:
SensitiveNets: Learning Agnostic Representations with Application to Face Recognition. - Anastasia Koloskova, Sebastian U. Stich, Martin Jaggi:
Decentralized Stochastic Optimization and Gossip Algorithms with Compressed Communication. - Shuang Zheng, Jing Yang, Xiaohu Ge, Yonghui Li, Lin Tian, Jinglin Shi:
Energy Efficiency of Generalized Spatial Modulation Aided Massive MIMO Systems. - Christoph Angermann, Markus Haltmeier, Ruth Steiger, Sergiy Pereverzyev Jr., Elke Ruth Gizewski:
Projection-Based 2.5D U-net Architecture for Fast Volumetric Segmentation. - Li Xiao, Yijie Peng, L. Jeff Hong, Zewu Ke:
Training Artificial Neural Networks by Generalized Likelihood Ratio Method: Exploring Brain-like Learning to Improve Adversarial Defensiveness. - Luiz Pessoa:
Intelligent architectures for robotics: The merging of cognition and emotion. - Yongpei Zhu, Zicong Zhou, Guojun Liao, Qianxi Yang, Kehong Yuan:
The Generation and Application of Medical Image Grid Based on Differential Geometric Features. - Rajalekshmi Kishore, Sanjeev Gurugopinath, Sami Muhaidat, Paschalis C. Sofotasios, Octavia A. Dobre, Naofal Al-Dhahir:
Sensing-Throughput Tradeoff for Superior Selective Reporting-based Spectrum Sensing in Energy Harvesting HCRNs. - Benjamin Paaßen, Astrid Bunge, Carolin Hainke, Leon Sindelar, Matthias Vogelsang:
Dynamic fairness - Breaking vicious cycles in automatic decision making. - Yash Patel, Lluís Gómez, Marçal Rusiñol, Dimosthenis Karatzas, C. V. Jawahar:
Self-Supervised Visual Representations for Cross-Modal Retrieval. - Chaochao Li, Pei Lv, Dinesh Manocha, Hua Wang, Yafei Li, Bing Zhou, Mingliang Xu:
ACSEE: Antagonistic Crowd Simulation model with Emotional contagion and Evolutionary game. - Shengcao Cao, Xiaofang Wang, Kris M. Kitani:
Learnable Embedding Space for Efficient Neural Architecture Compression. - Ariel Barel, Rotem Manor, Alfred M. Bruckstein:
On Steering Swarms. - Salvatore D'Oro, Francesco Restuccia, Alessandro Talamonti, Tommaso Melodia:
The Slice Is Served: Enforcing Radio Access Network Slicing in Virtualized 5G Systems. - Ghanem Soltana, Mehrdad Sabetzadeh, Lionel C. Briand:
Practical Model-driven Data Generation for System Testing. - Sahil Singla, Eric Wallace, Shi Feng, Soheil Feizi:
Understanding Impacts of High-Order Loss Approximations and Features in Deep Learning Interpretation. - Gurudutt Hosangadi, Dandan Wang, Anil Rao:
System Design Considerations For Internet Of Things (IoT) With Category-M Devices In LTE Networks. - Yogesh Balaji, Rama Chellappa, Soheil Feizi:
Normalized Wasserstein Distance for Mixture Distributions with Applications in Adversarial Learning and Domain Adaptation. - Björn Barz, Joachim Denzler:
Do we train on test data? Purging CIFAR of near-duplicates. - Soheil Kolouri, Kimia Nadjahi, Umut Simsekli, Roland Badeau, Gustavo K. Rohde:
Generalized Sliced Wasserstein Distances. - Luca Aceto, Antonis Achilleos, Adrian Francalanza, Anna Ingólfsdóttir, Karoliina Lehtinen:
Adventures in Monitorability: From Branching to Linear Time and Back Again. - Blaz Skrlj, Matej Martinc, Jan Kralj, Nada Lavrac, Senja Pollak:
tax2vec: Constructing Interpretable Features from Taxonomies for Short Text Classification. - Ioana Bica, Ahmed M. Alaa, Mihaela van der Schaar:
Time Series Deconfounder: Estimating Treatment Effects over Time in the Presence of Hidden Confounders. - Indranil Chakraborty, Deboleena Roy, Aayush Ankit, Kaushik Roy:
Efficient Hybrid Network Architectures for Extremely Quantized Neural Networks Enabling Intelligence at the Edge. - Peter Buchlovsky, David Budden, Dominik Grewe, Chris Jones, John Aslanides, Frederic Besse, Andy Brock, Aidan Clark, Sergio Gomez Colmenarejo, Aedan Pope, Fabio Viola, Dan Belov:
TF-Replicator: Distributed Machine Learning for Researchers. - Tor Lattimore, Csaba Szepesvári:
An Information-Theoretic Approach to Minimax Regret in Partial Monitoring. - André Mateus, Omar Tahri, Pedro Miraldo:
Active Estimation of 3D Lines in Spherical Coordinates. - Artem Lutov, Mourad Khayati, Philippe Cudré-Mauroux:
Clubmark: a Parallel Isolation Framework for Benchmarking and Profiling Clustering Algorithms on NUMA Architectures. - Sen Chen, Lingling Fan, Chunyang Chen, Ting Su, Wenhe Li, Yang Liu, Lihua Xu:
StoryDroid: Automated Generation of Storyboard for Android Apps. - Ghasem Pasandi, Shahin Nazarian, Massoud Pedram:
Approximate Logic Synthesis: A Reinforcement Learning-Based Technology Mapping Approach. - Ghasem Pasandi, Raghav Mehta, Massoud Pedram, Shahin Nazarian:
Hybrid Cell Assignment and Sizing for Power, Area, Delay Product Optimization of SRAM Arrays. - Dongfang Yang, Linhui Li, Keith A. Redmill, Ümit Özgüner:
Top-view Trajectories: A Pedestrian Dataset of Vehicle-Crowd Interaction from Controlled Experiments and Crowded Campus. - Rahul Jain, Raghunath Tewari:
Grid Graph Reachability. - Abram Handler, Brian Dillon, Brendan O'Connor:
Human acceptability judgements for extractive sentence compression. - Sneha Kudugunta, Vaibhav B. Sinha, Adepu Ravi Sankar, Surya Teja Chavali, Purushottam Kar, Vineeth N. Balasubramanian:
DANTE: Deep AlterNations for Training nEural networks. - Arul Mishra, Himanshu Mishra, Shelly Rathee:
Examining the Presence of Gender Bias in Customer Reviews Using Word Embedding. - Aseem R. Baranwal, Jeffrey O. Shallit:
Critical exponent of infinite balanced words via the Pell number system. - A. J. Piergiovanni, Anelia Angelova, Michael S. Ryoo:
Learning Differentiable Grammars for Continuous Data. - Nolan Bard, Jakob N. Foerster, Sarath Chandar, Neil Burch, Marc Lanctot, H. Francis Song, Emilio Parisotto, Vincent Dumoulin, Subhodeep Moitra, Edward Hughes, Iain Dunning, Shibl Mourad, Hugo Larochelle, Marc G. Bellemare, Michael Bowling:
The Hanabi Challenge: A New Frontier for AI Research. - Goran Glavas, Robert Litschko, Sebastian Ruder, Ivan Vulic:
How to (Properly) Evaluate Cross-Lingual Word Embeddings: On Strong Baselines, Comparative Analyses, and Some Misconceptions. - Florian Myter, Christophe Scholliers, Wolfgang De Meuter:
Distributed Reactive Programming for Reactive Distributed Systems. - S. Tucker Taft:
ParaSail: A Pointer-Free Pervasively-Parallel Language for Irregular Computations. - Amir Saeidi, Jurriaan Hage, Ravi Khadka, Slinger Jansen:
Applications of Multi-view Learning Approaches for Software Comprehension. - Hao Liu, Alexander Trott, Richard Socher, Caiming Xiong:
Competitive Experience Replay. - Zhiyun Lu, Chao-Kai Chiang, Fei Sha:
Hyper-parameter Tuning under a Budget Constraint. - Lezhi Wang, Zhi-Dan Zhao, Jun-Jie Jiang, Bing-Hui Guo, Xiao Wang, Zi-Gang Huang, Ying-Cheng Lai:
A model for meme popularity growth in social networking systems based on biological principle and human interest dynamics. - Peter Klages, Ilyes Benslimane, Sadegh Riyahi, Jue Jiang, Margie Hunt, Joseph O. Deasy, Harini Veeraraghavan, Neelam Tyagi:
Comparison of Patch-Based Conditional Generative Adversarial Neural Net Models with Emphasis on Model Robustness for Use in Head and Neck Cases for MR-Only planning. - Cory Cornelius:
The Efficacy of SHIELD under Different Threat Models. - Leila Megouache, Abdelhafid Zitouni, Mahieddine Djoudi:
A New Framework of Authentication Over Cloud Computing. - Rodin Aarssen, Jurgen J. Vinju, Tijs van der Storm:
Concrete Syntax with Black Box Parsers. - Andi Bejleri, Elton Domnori, Malte Viering, Patrick Eugster, Mira Mezini:
Comprehensive Multiparty Session Types. - Philipp Seifer, Martin Leinberger, Ralf Lämmel, Steffen Staab:
Semantic Query Integration With Reason. - Hrshikesh Arora, Marco Servetto, Bruno C. d. S. Oliveira:
Separating Use and Reuse to Improve Both. - Weixin Zhang, Bruno C. d. S. Oliveira:
Shallow EDSLs and Object-Oriented Programming: Beyond Simple Compositionality. - David Rauch, Patrick Rein, Stefan Ramson, Jens Lincke, Robert Hirschfeld:
Babylonian-style Programming: Design and Implementation of an Integration of Live Examples into General-purpose Source Code. - Haifa F. Alhasson, Shuaa S. Alharbi, Boguslaw Obara:
2D and 3D Vascular Structures Enhancement via Multiscale Fractional Anisotropy Tensor. - Koushik Varma Kalidindi:
Deconstructing Word Embeddings. - Massimiliano Polito:
Riconoscimento ortografico per apostrofo ed espressioni polirematiche. - Laurens Weitkamp, Elise van der Pol, Zeynep Akata:
Visual Rationalizations in Deep Reinforcement Learning for Atari Games. - Atta Norouzian, Bogdan Mazoure, Dermot Connolly, Daniel Willett:
Exploring attention mechanism for acoustic-based classification of speech utterances into system-directed and non-system-directed. - Sascha Saralajew, Lars Holdijk, Maike Rees, Thomas Villmann:
Robustness of Generalized Learning Vector Quantization Models against Adversarial Attacks. - Zhe Gan, Yu Cheng, Ahmed El Kholy, Linjie Li, Jingjing Liu, Jianfeng Gao:
Multi-step Reasoning via Recurrent Dual Attention for Visual Dialog. - Gabriel Schamberg, Todd P. Coleman:
On the Bias of Directed Information Estimators. - Douglas Comer, Adib Rastegarnia:
Towards Disaggregating the SDN Control Plane. - Iman Elghandour, Ahmet Kara, Dan Olteanu, Stijn Vansummeren:
Incremental Techniques for Large-Scale Dynamic Query Processing. - Yijiang Lian, Zhijie Chen, Jinlong Hu, Ke-feng Zhang, Chunwei Yan, Muchenxuan Tong, Wenying Han, Hanju Guan, Ying Li, Ying Cao, Yang Yu, Zhigang Li, Xiaochun Liu, Yue Wang:
An end-to-end Generative Retrieval Method for Sponsored Search Engine -Decoding Efficiently into a Closed Target Domain. - Hengjie Yang, Gourav Khadge, Richard D. Wesel:
Finite-Blocklength Performance of Sequential Transmission over BSC with Noiseless Feedback. - Michael Hahn, Frank Keller, Yonatan Bisk, Yonatan Belinkov:
Character-based Surprisal as a Model of Human Reading in the Presence of Errors. - Nitin R. Kapania, Vijay Govindarajan, Francesco Borrelli, J. Christian Gerdes:
A Hybrid Control Design for Autonomous Vehicles at Uncontrolled Intersections. - Marc Vuffray, Sidhant Misra, Andrey Y. Lokhov:
Efficient Learning of Discrete Graphical Models. - Aniket Shivam, Neftali Watkinson, Alexandru Nicolau, David A. Padua, Alexander V. Veidenbaum:
Towards an Achievable Performance for the Loop Nests. - Yu Zhang, Mehrdad Zakershahrak:
Progressive Explanation Generation for Human-robot Teaming. - Nitin R. Kapania, John K. Subosits, J. Christian Gerdes:
A Sequential Two-Step Algorithm for Fast Generation of Vehicle Racing Trajectories. - Eunji Chong, Katha Chanda, Zhefan Ye, Audrey Southerland, Nataniel Ruiz, Rebecca M. Jones, Agata Rozga, James M. Rehg:
Detecting Gaze Towards Eyes in Natural Social Interactions and its Use in Child Assessment. - Ningnan Zhou, Xuan Zhou, Kian-Lee Tan, Shan Wang:
Transparent Concurrency Control: Decoupling Concurrency Control from DBMS. - Nitin R. Kapania, J. Christian Gerdes:
Path Tracking of Highly Dynamic Autonomous Vehicle Trajectories via Iterative Learning Control. - Abraham Frandsen, Rong Ge:
Understanding Composition of Word Embeddings via Tensor Decomposition. - Zhicheng Ding, Edward Wong:
Confidence Trigger Detection: An Approach to Build Real-time Tracking-by-detection System. - Aakif Mairaj, Asif Iqbal Baba, Ahmad Y. Javaid:
Application Specific Drone Simulators: Recent Advances and Challenges. - Xiaojuan Wang, Ting Zhang, Guo-Jun Qi, Jinhui Tang, Jingdong Wang:
Supervised Quantization for Similarity Search. - Chi Jin, Praneeth Netrapalli, Michael I. Jordan:
Minmax Optimization: Stable Limit Points of Gradient Descent Ascent are Locally Optimal. - Jian Li, Xuanyuan Luo, Mingda Qiao:
On Generalization Error Bounds of Noisy Gradient Methods for Non-Convex Learning. - Ting Zhang, Jingdong Wang:
Collaborative Quantization for Cross-Modal Similarity Search. - Wahyudi, Masayu Leylia Khodra, Ary Setijadi Prihatmanto, Carmadi Machbub:
A Question Answering System Using Graph-Pattern Association Rules (QAGPAR) On YAGO Knowledge Base. - Zhengxuan Wu, Jason Luo, Xiyu Zhang:
Uncovering Political Promotion in China: A Network Analysis of Patronage Relationship in Autocracy. - Marwan A. Mattar, Michael G. Ross, Erik G. Learned-Miller:
Nonparametric Curve Alignment. - Ziqiang Shi, Huibin Lin, Liu Liu, Rujie Liu, Jiqing Han:
Is CQT more suitable for monaural speech separation than STFT? an empirical study. - Nikolaj Tatti:
Efficient estimation of AUC in a sliding window. - Nikolaj Tatti:
Computational Complexity of Queries Based on Itemsets. - Yuanyuan Feng, Tingran Gao, Lei Li, Jian-Guo Liu, Yulong Lu:
Uniform-in-Time Weak Error Analysis for Stochastic Gradient Descent Algorithms via Diffusion Approximation. - Reza Asadi, Amelia Regan:
A Spatial-Temporal Decomposition Based Deep Neural Network for Time Series Forecasting. - Kexin Tang, Nuowen Kan, Junni Zou, Xiao Fu, Mingyi Hong, Hongkai Xiong:
Multiuser Video Streaming Rate Adaptation: A Physical Layer Resource-Aware Deep Reinforcement Learning Approach. - Xinshi Chen, Hanjun Dai, Le Song:
Meta Particle Flow for Sequential Bayesian Inference. - Jinhyun So, Basak Guler, Amir Salman Avestimehr, Payman Mohassel:
CodedPrivateML: A Fast and Privacy-Preserving Framework for Distributed Machine Learning. - Shifeng Zhang, Jianmin Li, Bo Zhang:
Pairwise Teacher-Student Network for Semi-Supervised Hashing. - Shifeng Zhang, Jianmin Li, Bo Zhang:
Joint Cluster Unary Loss for Efficient Cross-Modal Hashing. - Dylan P. Losey, Marcia K. O'Malley:
Enabling Robots to Infer how End-Users Teach and Learn through Human-Robot Interaction. - Chongbin Tang, Sen Chen, Lingling Fan, Lihua Xu, Yang Liu, Zhushou Tang, Liang Dou:
A Large-Scale Empirical Study on Industrial Fake Apps. - Maodong Pan, Falai Chen, Weihua Tong:
Volumetric Spline Parameterization for Isogeometric Analysis. - Ziqiang Shi, Huibin Lin, Liu Liu, Rujie Liu, Jiqing Han:
FurcaNet: An end-to-end deep gated convolutional, long short-term memory, deep neural networks for single channel speech separation. - Chuzhe Tang, Zhiyuan Dong, Minjie Wang, Zhaoguo Wang, Haibo Chen:
Learned Indexes for Dynamic Workloads. - Pedro Cisneros-Velarde, Kevin S. Chan, Francesco Bullo:
Polarization and Fluctuations in Signed Social Networks. - Muhammed Hanefi Calp, Muhammet Ali Akcayol:
Optimization of Project Scheduling Activities in Dynamic CPM and PERT Networks Using Genetic Algorithms. - Nachshon Cohen, David T. Aksun, Hillel Avni, James R. Larus:
Fine-Grain Checkpointing with In-Cache-Line Logging. - Tolgahan Cakaloglu, Xiaowei Xu:
A Multi-Resolution Word Embedding for Document Retrieval from Large Unstructured Knowledge Bases. - Bairui Wang, Lin Ma, Wei Zhang, Wenhao Jiang, Feng Zhang:
Hierarchical Photo-Scene Encoder for Album Storytelling. - Mehmet Ozgur Turkoglu, William Thong, Luuk J. Spreeuwers, Berkay Kicanaoglu:
A Layer-Based Sequential Framework for Scene Generation with GANs. - Hadrien Van Lierde, Tommy W. S. Chow:
Query-oriented text summarization based on hypergraph transversals. - Arun Kumar, Zhengwei Wu, Xaq Pitkow, Paul R. Schrater:
Belief dynamics extraction. - Adil Rajput, Tayeb Brahimi:
Characterizing IOMT/Personal Area Networks Landscape. - Zheng Zhou, Weiming Zhang, Nenghai Yu:
Data Exfiltration via Multipurpose RFID Cards and Countermeasures. - Adil Rajput:
Natural Language Processing, Sentiment Analysis and Clinical Analytics. - Charles P. Martin, Jim Tørresen:
Data Driven Analysis of Tiny Touchscreen Performance with MicroJam. - Sébastien Bubeck, Mark Sellke:
First-Order Regret Analysis of Thompson Sampling. - Johan Schoukens, Lennart Ljung:
Nonlinear System Identification: A User-Oriented Roadmap. - M. Hanefi Calp:
Medical Diagnosis with a Novel SVM-CoDOA Based Hybrid Approach. - Hamed Masoumi, Mohammad Javad Emadi:
Transmission strategies for cell-free massive mimo with limited capacity fronthaul links. - Adil Rajput, Samara M. Ahmed:
Making a Case for Social Media Corpus for Detecting Depression. - Stefano Fioravanzo, Giovanni Iacca:
Evaluating MAP-Elites on Constrained Optimization Problems. - Adil E. Rajput, Samara M. Ahmed:
Big Data and Social/Medical Sciences: State of the Art and Future Trends. - Flavio C. D. Moraes:
Filtering journal impact factor rank by specific parameters. - Shouling Ji, Haiqin Weng, Yiming Wu, Pan Zhou, Qinming He, Raheem Beyah, Ting Wang:
FDI: Quantifying Feature-based Data Inferability. - Yu Lei, Wenjie Li:
When Collaborative Filtering Meets Reinforcement Learning. - Shouling Ji, Qinchen Gu, Haiqin Weng, Qianjun Liu, Pan Zhou, Qinming He, Raheem Beyah, Ting Wang:
De-Health: All Your Online Health Information Are Belong to Us. - Miguel Alonso Jr.:
Learning User Preferences via Reinforcement Learning with Spatial Interface Valuing. - Fayez Lahoud, Radhakrishna Achanta, Pablo Márquez-Neila, Sabine Süsstrunk:
Self-Binarizing Networks. - Michael Mitzenmacher:
Scheduling with Predictions and the Price of Misprediction. - Grégory Berhuy, Jean Fasel, Odile Garotta:
Rank weights for arbitrary finite field extensions. - Joe Gibbs Politz, Benjamin S. Lerner, Sorawee Porncharoenwase, Shriram Krishnamurthi:
Event Loops as First-Class Values: A Case Study in Pedagogic Language Design. - Ben Goertzel:
Distinction Graphs and Graphtropy: A Formalized Phenomenological Layer Underlying Classical and Quantum Entropy, Observational Semantics and Cognitive Computation. - Linghao Song, Fan Chen, Steven R. Young, Catherine D. Schuman, Gabriel N. Perdue, Thomas E. Potok:
Deep Learning for Vertex Reconstruction of Neutrino-Nucleus Interaction Events with Combined Energy and Time Data. - Haowei He, Gao Huang, Yang Yuan:
Asymmetric Valleys: Beyond Sharp and Flat Local Minima. - Ji Zhu, Hua Yang, Nian Liu, Minyoung Kim, Wenjun Zhang, Ming-Hsuan Yang:
Online Multi-Object Tracking with Dual Matching Attention Networks. - Yuting Yang, Juan Cao, Mingyan Lu, Jintao Li, Chia-Wen Lin:
How to Write High-quality News on Social Network? Predicting News Quality by Mining Writing Style. - Neil Houlsby, Andrei Giurgiu, Stanislaw Jastrzebski, Bruna Morrone, Quentin de Laroussilhe, Andrea Gesmundo, Mona Attariyan, Sylvain Gelly:
Parameter-Efficient Transfer Learning for NLP. - Erion Çano, Maurizio Morisio:
Word Embeddings for Sentiment Analysis: A Comprehensive Empirical Survey. - Mauricio Matamoros, Karin Harbusch, Dietrich Paulus:
From Commands to Goal-based Dialogs: A Roadmap to Achieve Natural Language Interaction in RoboCup@Home. - Hao Zhu, Yankai Lin, Zhiyuan Liu, Jie Fu, Tat-Seng Chua, Maosong Sun:
Graph Neural Networks with Generated Parameters for Relation Extraction. - Stephen Wong, Cass Dykeman:
East Asians with Internet Addiction: Prevalence Rates and Support Use Patterns. - Mauricio Matamoros, Viktor Seib, Raphael Memmesheimer, Dietrich Paulus:
RoboCup@Home: Summarizing achievements in over eleven years of competition. - Alessio Tonioni, Luigi Di Stefano:
Domain invariant hierarchical embedding for grocery products recognition. - Shreyas S. Shivakumar, Ty Nguyen, Steven W. Chen, Camillo J. Taylor:
DFuseNet: Deep Fusion of RGB and Sparse Depth Information for Image Guided Dense Depth Completion. - Max Simchowitz, Ross Boczar, Benjamin Recht:
Learning Linear Dynamical Systems with Semi-Parametric Least Squares. - Adi Botea, Christian Muise, Shubham Agarwal, Oznur Alkan, Ondrej Bajgar, Elizabeth Daly, Akihiro Kishimoto, Luis A. Lastras, Radu Marinescu, Josef Ondrej, Pablo Pedemonte, Miroslav Vodolán:
Generating Dialogue Agents via Automated Planning. - Giannis Christoforidis, Pavlos Kefalas, Apostolos N. Papadopoulos, Yannis Manolopoulos:
RELINE: Point-of-Interest Recommendations using Multiple Network Embeddings. - Olga V. Bondarenko, Svitlana Mantulenko, Andrey V. Pikilnyak:
Google Classroom as a Tool of Support of Blended Learning for Geography Students. - Mohammadhosein Hasanbeig, Alessandro Abate, Daniel Kroening:
Certified Reinforcement Learning with Logic Guidance. - Jinhwan Choi, Yu Gu, Jinoh Kim:
Learning-based Dynamic Cache Management in a Cloud. - Aaron Krim-Yee, Ben Seamone, Virgélot Virgile:
Eternal domination on prisms of graphs. - Minjae Lee, David Hyde, Kevin Li, Ronald Fedkiw:
A Robust Volume Conserving Method for Character-Water Interaction. - Nikolaj Tatti:
Itemsets for Real-valued Datasets. - Jayant Gupchup, Douglas Carlson, Razvan Musaloiu-Elefteri, Alex Szalay, Andreas Terzis:
Phoenix: An Epidemic Approach to Time Reconstruction. - Manu Goyal, Moi Hoon Yap:
Automatic Lesion Boundary Segmentation in Dermoscopic Images with Ensemble Deep Learning Methods. - Achilles A. Beros, Bjørn Kjos-Hanssen, Daylan Kaui Yogi:
Planar digraphs for automatic complexity. - Yuejiang Liu, Parth Kothari, Alexandre Alahi:
Collaborative GAN Sampling. - Bjørn Kjos-Hanssen, Lei Liu:
The number of languages with maximum state complexity. - Keisuke Imoto, Seisuke Kyochi:
Sound Event Detection Using Graph Laplacian Regularization Based on Event Co-occurrence. - John Hester:
Automated ZFC Theorem Proving with E. - Amirreza Farnoosh, Behnaz Rezaei, Sarah Ostadabbas:
DeepPBM: Deep Probabilistic Background Model Estimation from Video Sequences. - Hu Xu, Bing Liu, Lei Shu, Philip S. Yu:
Review Conversational Reading Comprehension. - Jiwook Choi, Namyoon Lee, Song-Nam Hong, Giuseppe Caire:
Joint User Selection, Power Allocation, and Precoding Design with Imperfect CSIT for Multi-Cell MU-MIMO Downlink Systems. - Dahyun Kim, Jihwan Bae, Yeonsik Jo, Jonghyun Choi:
Incremental Learning with Maximum Entropy Regularization: Rethinking Forgetting and Intransigence. - Hui Li, Ye Liu, Yan Qiu Chen:
Automatic trajectory measurement of large numbers of crowded objects. - Jianping Yao, Jie Xu:
Secrecy Transmission in Large-Scale UAV-Enabled Wireless Networks. - Mehdi Ganji, Hongbing Cheng, Qi Zhan, Kee-Bong Song:
A New Codebook Design for Analog Beamforming in Millimeter-wave Communication. - Anish Singhani:
Real-Time Freespace Segmentation on Autonomous Robots for Detection of Obstacles and Drop-Offs. - Francisco M. Garcia, Philip S. Thomas:
A Meta-MDP Approach to Exploration for Lifelong Reinforcement Learning. - Aron Laszka, Scott Eisele, Abhishek Dubey, Gabor Karsai, Karla Kvaternik:
TRANSAX: A Blockchain-based Decentralized Forward-Trading Energy Exchange for Transactive Microgrids. - Samaneh Azari, Bing Xue, Mengjie Zhang, Lifeng Peng:
GA-Novo: De Novo Peptide Sequencing via Tandem Mass Spectrometry using Genetic Algorithm. - Jeremy Kepner, Vijay Gadepally, Lauren Milechin, Siddharth Samsi, William Arcand, David Bestor, William Bergeron, Chansup Byun, Matthew Hubbell, Michael Houle, Michael Jones, Anne Klein, Peter Michaleas, Julie Mullen, Andrew Prout, Antonio Rosa, Charles Yee, Albert Reuther:
A Billion Updates per Second Using 30, 000 Hierarchical In-Memory D4M Databases. - Kuo-Feng Hsu, Ryan Beckett, Ang Chen, Jennifer Rexford, Praveen Tammana, David Walker:
Contra: A Programmable System for Performance-aware Routing. - Changhua Pei, Xinru Yang, Qing Cui, Xiao Lin, Fei Sun, Peng Jiang, Wenwu Ou, Yongfeng Zhang:
Value-aware Recommendation based on Reinforced Profit Maximization in E-commerce Systems. - Shiba Kuanar, K. R. Rao, Dwarikanath Mahapatra, Monalisa Bilas:
Night Time Haze and Glow Removal using Deep Dilated Convolutional Network. - Jiacheng Xu, Greg Durrett:
Neural Extractive Text Summarization with Syntactic Compression. - Seonho Kim, Song-Nam Hong:
Semi-Supervised Learning Detector for MU-MIMO Systems with One-bit ADCs. - Yusuke Imoto, Satori Tsuzuki, Daisuke Nishiura:
Convergence study and optimal weight functions of an explicit particle method for the incompressible Navier-Stokes equations. - Yingzhen Yang, Xingjian Li, Jun Huan:
An Empirical Study on Regularization of Deep Neural Networks by Local Rademacher Complexity. - Christos Patsonakis, Katerina Samari, Aggelos Kiayias, Mema Roussopoulos:
On the Practicality of Smart Contract PKI. - Christos Patsonakis, Mema Roussopoulos:
An Alternative Paradigm for Developing and Pricing Storage on Smart Contract Platforms. - Bogdan Burlacu, Michael Affenzeller, Gabriel Kronberger, Michael Kommenda:
Online Diversity Control in Symbolic Regression via a Fast Hash-based Tree Similarity Measure. - Rana Siadati, Paul Wernick, Vito Veneziano:
Modelling the Political Context in Requirements Engineering. The System is made for Man, not Man for the System. - Jinfeng Li, Liwei Chen, Qizhen Xu, Linan Tian, Gang Shi, Kai Chen, Dan Meng:
Zipper Stack: Shadow Stacks Without Shadow. - Yanjie Wang, Samuel Broscheit, Rainer Gemulla:
A Relational Tucker Decomposition for Multi-Relational Link Prediction. - Yunwen Lei, Ting Hu, Ke Tang:
Stochastic Gradient Descent for Nonconvex Learning without Bounded Gradient Assumptions. - Maria Maleshkova, Patrick Philipp, York Sure-Vetter, Rudi Studer:
Smart Web Services (SmartWS) - The Future of Services on the Web. - Mohamed Nidhal Jelassi:
Study, representation and applications of hypergraph minimal transversals. - Matt Le, Stephen Roller, Laetitia Papaxanthos, Douwe Kiela, Maximilian Nickel:
Inferring Concept Hierarchies from Text Corpora via Hyperbolic Embeddings. - Tom Hanika, Maximilian Marx, Gerd Stumme:
Discovering Implicational Knowledge in Wikidata. - Jie Zhang, Xiaolong Wang, Dawei Li, Shalini Ghosh, Abhishek Kolagunda, Yalin Wang:
MICIK: MIning Cross-Layer Inherent Similarity Knowledge for Deep Model Compression. - Wenxin Li, Joohyun Lee, Ness B. Shroff:
A Faster FPTAS for Knapsack Problem With Cardinality Constraint. - R. Srikant, Lei Ying:
Finite-Time Error Bounds For Linear Stochastic Approximation and TD Learning. - Yao Zhang, Alpha A. Lee:
Bayesian semi-supervised learning for uncertainty-calibrated prediction of molecular properties and active learning. - Yunhui Guo, Yandong Li, Rogério Schmidt Feris, Liqiang Wang, Tajana Rosing:
Depthwise Convolution is All You Need for Learning Multiple Visual Domains. - Kee-Hoon Kim:
New Constellation Design and Bit Mapping for Dual Mode OFDM-IM. - Milad Abolpour, Mahtab Mirmohseni, Mohammad Reza Aref:
Outage Performance in Secure Cooperative NOMA. - Leshang Chen, Susan B. Davidson:
Automating Software Citation using GitCite. - Rayed AlGhamdi, Adel A. Bahaddad:
Assessing the Usages of LMS at KAU and Proposing FORCE Strategy for the Diffusion. - Sanna Wager, George Tzanetakis, Cheng-i Wang, Lijiang Guo, Aswin Sivaraman, Minje Kim:
Deep Autotuner: A Data-Driven Approach to Natural-Sounding Pitch Correction for Singing Voice in Karaoke Performances. - Jenna Kanerva, Filip Ginter, Tapio Salakoski:
Universal Lemmatizer: A Sequence to Sequence Model for Lemmatizing Universal Dependencies Treebanks. - Holger Petersen:
Some Remarks on Real-Time Turing Machines. - Yifang Chen, Chung-Wei Lee, Haipeng Luo, Chen-Yu Wei:
A New Algorithm for Non-stationary Contextual Bandits: Efficient, Optimal, and Parameter-free. - Patrick Schwab, Lorenz Linhardt, Stefan Bauer, Joachim M. Buhmann, Walter Karlen:
Learning Counterfactual Representations for Estimating Individual Dose-Response Curves. - Zoubeir Mlika, Elmahdi Driouch, Wessam Ajib:
Resource Allocation in Green Dense Cellular Networks: Complexity and Algorithms. - Ruslan Shaydulin, Caleb Thomas, Paige Rodeghero:
Making Quantum Computing Open: Lessons from Open-Source Projects. - Xiaoman Pan, Kai Sun, Dian Yu, Heng Ji, Dong Yu:
Improving Question Answering with External Knowledge. - Michal Derezinski, Kenneth L. Clarkson, Michael W. Mahoney, Manfred K. Warmuth:
Minimax experimental design: Bridging the gap between statistical and worst-case approaches to least squares regression. - Poorvi L. Vora:
Risk-Limiting Bayesian Polling Audits for Two Candidate Elections. - Amir Erfan Eshratifar, Amirhossein Esmaili, Massoud Pedram:
BottleNet: A Deep Learning Architecture for Intelligent Mobile Cloud Computing Services. - Nikolaj Tatti:
Ranking Episodes using a Partition Model. - Yi Yu, Haiquan Zhao, Rodrigo C. de Lamare, Yuriy V. Zakharov, Lu Lu:
Study of Robust Distributed Diffusion RLS Algorithms with Side Information for Adaptive Networks. - R. Thomas McCoy, Ellie Pavlick, Tal Linzen:
Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference. - Subhrajit Roy, Umar Asif, Jianbin Tang, Stefan Harrer:
Machine Learning for Seizure Type Classification: Setting the benchmark. - Shervin Minaee, AmirAli Abdolrashidi:
Deep-Emotion: Facial Expression Recognition Using Attentional Convolutional Network. - Katsuhiko Ishiguro, Shin-ichi Maeda, Masanori Koyama:
Graph Warp Module: an Auxiliary Module for Boosting the Power of Graph Neural Networks. - Christopher J. Tralie, Brian McFee:
Enhanced Hierarchical Music Structure Annotations via Feature Level Similarity Fusion. - Huile Xu, Yi Zhang, Li Li, Weixia Li:
Cooperative Driving at Unsignalized Intersections Using Tree Search. - Hossein K. Mousavi, Nader Motee:
Estimation with Fast Landmark Selection in Robot Visual Navigation. - Zeyuan Allen-Zhu, Yuanzhi Li:
Can SGD Learn Recurrent Neural Networks with Provable Generalization? - Haoyu Wang, Ming Tan, Mo Yu, Shiyu Chang, Dakuo Wang, Kun Xu, Xiaoxiao Guo, Saloni Potdar:
Extracting Multiple-Relations in One-Pass with Pre-Trained Transformers. - Md Ashraful Alam Milton:
Towards Pedestrian Detection Using RetinaNet in ECCV 2018 Wider Pedestrian Detection Challenge. - Sudin Kadam, Karmvir Singh Phogat, Ravi N. Banavar, Debasish Chatterjee:
Exact isoholonomic motion of the planar Purcell's swimmer. - Kallista A. Bonawitz, Hubert Eichner, Wolfgang Grieskamp, Dzmitry Huba, Alex Ingerman, Vladimir Ivanov, Chloé Kiddon, Jakub Konecný, Stefano Mazzocchi, H. Brendan McMahan, Timon Van Overveldt, David Petrou, Daniel Ramage, Jason Roselander:
Towards Federated Learning at Scale: System Design. - Jiaqi Chen, Xiaohu Ge, Yi Zhong, Yonghui Li:
A Novel JT-CoMP Scheme in 5G Fractal Small Cell Networks. - Takuo Kaneko, Issei Sato, Masashi Sugiyama:
Online Multiclass Classification Based on Prediction Margin for Partial Feedback. - Dongyan Guo, Jun Wang, Weixuan Zhao, Ying Cui, Zhenhua Wang, Shengyong Chen:
End-to-end feature fusion siamese network for adaptive visual tracking. - Swapna Agarwal, Brojeshwar Bhowmick:
3D point cloud registration with shape constraint. - Qinyi Luo, Jinkun Lin, Youwei Zhuo, Xuehai Qian:
Hop: Heterogeneity-Aware Decentralized Training. - Wonseok Hwang, Jinyeung Yim, Seunghyun Park, Minjoon Seo:
A Comprehensive Exploration on WikiSQL with Table-Aware Word Contextualization. - Suryansh Kumar:
Jumping Manifolds: Geometry Aware Dense Non-Rigid Structure from Motion. - Alexandros Stergiou, Georgios Kapidis, Grigorios Kalliatakis, Christos Chrysoulas, Remco C. Veltkamp, Ronald Poppe:
Saliency Tubes: Visual Explanations for Spatio-Temporal Convolutions. - Rupak Majumdar, Aman Shankar Mathur, Marcus Pirron, Laura Stegner, Damien Zufferey:
Paracosm: A Language and Tool for Testing Autonomous Driving Systems. - Jarno Alanko, Alberto Policriti, Nicola Prezza:
On Prefix-Sorting Finite Automata. - Isaac Lera, Carlos Guerrero, Carlos Juiz:
YAFS: A simulator for IoT scenarios in fog computing. - Qiang Yu, Yanli Yao, Longbiao Wang, Huajin Tang, Jianwu Dang, Kay Chen Tan:
Robust Environmental Sound Recognition with Sparse Key-point Encoding and Efficient Multi-spike Learning. - Xintong Han, Zuxuan Wu, Weilin Huang, Matthew R. Scott, Larry S. Davis:
Compatible and Diverse Fashion Image Inpainting. - Boya Di, Lingyang Song, Yonghui Li, Geoffrey Ye Li:
TCM-NOMA: Joint Multi-user Codeword Design and Detection in Trellis Coded Modulation based NOMA for Beyond 5G. - Witold Dzwinel, Rafal Wcislo, Stan Matwin:
2-D Embedding of Large and High-dimensional Data with Minimal Memory and Computational Time Requirements. - Angela Fan, Mike Lewis, Yann N. Dauphin:
Strategies for Structuring Story Generation. - Liang Zhu, Zhijian Zhao, Chao Lu, Yining Lin, Yao Peng, Tangren Yao:
Dual Path Multi-Scale Fusion Networks with Attention for Crowd Counting. - Elena Sibirtseva, Ali Ghadirzadeh, Iolanda Leite, Mårten Björkman, Danica Kragic:
Exploring Temporal Dependencies in Multimodal Referring Expressions with Mixed Reality. - Guy Tennenholtz, Shie Mannor:
The Natural Language of Actions. - Kui Zhao, Junhao Hua, Ling Yan, Qi Zhang, Huan Xu, Cheng Yang:
A Unified Framework for Marketing Budget Allocation. - Angelo Ferrando, Michael Winikoff, Stephen Cranefield, Frank Dignum, Viviana Mascardi:
On the Enactability of Agent Interaction Protocols: Toward a Unified Approach. - Markus Theo Frohme:
Active Automata Learning with Adaptive Distinguishing Sequences. - Hiroyuki Kasai, Pratik Jawanpuria, Bamdev Mishra:
Adaptive stochastic gradient algorithms on Riemannian manifolds. - Alberto Marchisio, Giorgio Nanfa, Faiq Khalid, Muhammad Abdullah Hanif, Maurizio Martina, Muhammad Shafique:
SNN under Attack: are Spiking Deep Belief Networks vulnerable to Adversarial Examples? - Rafael Pinot, Laurent Meunier, Alexandre Araujo, Hisashi Kashima, Florian Yger, Cédric Gouy-Pailler, Jamal Atif:
Theoretical evidence for adversarial robustness through randomization: the case of the Exponential family. - Alberto Marchisio, Muhammad Shafique:
CapStore: Energy-Efficient Design and Management of the On-Chip Memory for CapsuleNet Inference Accelerators. - Mario R. F. Benevides, Isaque M. S. Lima:
Dynamic Epistemic Logic with Communication Actions. - Francesc Verdugo, Alberto F. Martín, Santiago Badia:
Distributed-memory parallelization of the aggregated unfitted finite element method. - Wei-Hung Weng, Yu-An Chung, Peter Szolovits:
Unsupervised Clinical Language Translation. - Lorenzo Gaudio, Mari Kobayashi, Björn Bissinger, Giuseppe Caire:
Performance Analysis of Joint Radar and Communication using OFDM and OTFS. - Benjamin Marussig:
Advances in the Treatment of Trimmed CAD Models due to Isogeometric Analysis. - O. M. Alade, A. O. Amusat:
Solving Nurse Scheduling Problem Using Constraint Programming Technique. - Patrick Schlachter, Yiwen Liao, Bin Yang:
Deep One-Class Classification Using Data Splitting. - Yasutaka Uchida, Kazuya Haraguchi:
Recycling Solutions for Vertex Coloring Heuristics. - Rakshit Agrawal, Luca de Alfaro, David P. Helmbold:
A New Family of Neural Networks Provably Resistant to Adversarial Attacks. - Hachem Yassine, Mihai-Alin Badiu, Justin P. Coon:
Model-Based Detector for SSDs in the Presence of Inter-cell Interference. - (Withdrawn) Adversarial Example Generation.
- Abolfazl Lavaei, Sadegh Soudjani, Majid Zamani:
Compositional Synthesis of Large-Scale Stochastic Systems: A Relaxed Dissipativity Approach. - Pál András Papp, Roger Wattenhofer:
Stabilization Time in Weighted Minority Processes. - Sahil Singla, Soheil Feizi:
Robustness Certificates Against Adversarial Examples for ReLU Networks. - Paavo Parmas, Carl Edward Rasmussen, Jan Peters, Kenji Doya:
PIPPS: Flexible Model-Based Policy Search Robust to the Curse of Chaos. - Frank Vallentin:
Semidefinite programming bounds for error-correcting codes. - Martin Sundermeyer, Zoltan-Csaba Marton, Maximilian Durner, Manuel Brucker, Rudolph Triebel:
Implicit 3D Orientation Learning for 6D Object Detection from RGB Images. - Raffaele Giancarlo, Giovanni Manzini, Giovanna Rosone, Marinella Sciortino:
A New Class of Searchable and Provably Highly Compressible String Transformations. - Zhongliang Yang, Hao Yang, Yuting Hu, Yongfeng Huang, Yu-Jin Zhang:
Real-Time Steganalysis for Stream Media Based on Multi-channel Convolutional Sliding Windows. - Derek J. Phillips, Juan Carlos Aragon, Anjali Roychowdhury, Regina Madigan, Sunil Chintakindi, Mykel J. Kochenderfer:
Real-time Prediction of Automotive Collision Risk from Monocular Video. - Nantia Makrynioti, Vasilis Vassalos:
Declarative Data Analytics: a Survey. - Mikel Artetxe, Gorka Labaka, Eneko Agirre:
An Effective Approach to Unsupervised Machine Translation. - Abhijit Guha Roy, Shayan Siddiqui, Sebastian Pölsterl, Nassir Navab, Christian Wachinger:
'Squeeze & Excite' Guided Few-Shot Segmentation of Volumetric Images. - Vasanth Sarathy, Thomas Arnold, Matthias Scheutz:
When Exceptions are the Norm: Exploring the Role of Consent in HRI. - Xiaohu Wu, Francesco De Pellegrini, Guanyu Gao, Giuliano Casale:
A Framework for Allocating Server Time to Spot and On-demand Services in Cloud Computing. - Josef Matous, Adam Kollarcík, Martin Gurtner, Tomás Michálek, Zdenek Hurák:
Optimization-based Feedback Manipulation Through an Array of Ultrasonic Transducers. - Nikolaj Tatti:
Safe projections of binary data sets. - Barbara McGillivray, Mathias Astell:
The relationship between usage and citations in an open access mega journal. - Nikolaj Tatti:
Distances between Data Sets Based on Summary Statistics. - Amelia Jiménez-Sánchez, Anees Kazi, Shadi Albarqouni, Chlodwig Kirchhoff, Peter Biberthaler, Nassir Navab, Diana Mateus, Sonja Kirchhoff:
Towards an Interactive and Interpretable CAD System to Support Proximal Femur Fracture Classification. - Brahim Aamer, Hatim Chergui, Nouamane Chergui, Kamel Tourki, Mustapha Benjillali, Christos V. Verikoukis, Mérouane Debbah:
Self-Tuning Spectral Clustering for Adaptive Tracking Areas Design in 5G Ultra-Dense Networks. - Michael D. Ekstrand, Joseph A. Konstan:
Recommender Systems Notation: Proposed Common Notation for Teaching and Research. - Juri Opitz, Anette Frank:
An Argument-Marker Model for Syntax-Agnostic Proto-Role Labeling. - Giovanni Cherubin, Konstantinos Chatzikokolakis, Catuscia Palamidessi:
F-BLEAU: Fast Black-box Leakage Estimation. - Dimitrios Kouzapas, Ramunas Gutkovas, A. Laura Voinea, Simon J. Gay:
A Session Type System for Asynchronous Unreliable Broadcast Communication. - Andrea Munari, Nina Grosheva, Ljiljana Simic, Petri Mähönen:
Performance of Radar and Communication Networks Coexisting in Shared Spectrum Bands. - Murat Dener, M. Hanefi Calp:
Solving The Exam Scheduling Problems in Central Exams With Genetic Algorithms. - M. Hanefi Calp:
Evaluation of Multidisciplinary Effects of Artificial Intelligence with Optimization Perspective. - Muhammed O. Sayin, Tamer Basar:
Deception-As-Defense Framework for Cyber-Physical Systems. - Haoran Li, Yang Weng, Yizheng Liao, Brian Keel, Kenneth E. Brown:
Robust Hidden Topology Identification in Distribution Systems. - Meghna Khaturia, Pranav Jha, Abhay Karandikar:
Connecting the Unconnected: Towards Frugal 5G Network Architecture and Standardization. - Jiatao Gu, Qi Liu, Kyunghyun Cho:
Insertion-based Decoding with automatically Inferred Generation Order. - Amrita Mazumdar, Brandon Haynes, Magdalena Balazinska, Luis Ceze, Alvin Cheung, Mark Oskin:
Vignette: Perceptual Compression for Video Storage and Processing Systems. - Wei Liu, Xianxu Hou, Jiang Duan, Guoping Qiu:
End-to-End Single Image Fog Removal using Enhanced Cycle Consistent Adversarial Networks. - Arthur Juliani, Ahmed Khalifa, Vincent-Pierre Berges, Jonathan Harper, Hunter Henry, Adam Crespi, Julian Togelius, Danny Lange:
Obstacle Tower: A Generalization Challenge in Vision, Control, and Planning. - Francisco Guzmán, Peng-Jen Chen, Myle Ott, Juan Miguel Pino, Guillaume Lample, Philipp Koehn, Vishrav Chaudhary, Marc'Aurelio Ranzato:
Two New Evaluation Datasets for Low-Resource Machine Translation: Nepali-English and Sinhala-English. - Yuan Cao, Quanquan Gu:
A Generalization Theory of Gradient Descent for Learning Over-parameterized Deep ReLU Networks. - Devendra Singh Chaplot, Lisa Lee, Ruslan Salakhutdinov, Devi Parikh, Dhruv Batra:
Embodied Multimodal Multitask Learning. - Zihang Dai, Guokun Lai, Yiming Yang, Shinjae Yoo:
Re-examination of the Role of Latent Variables in Sequence Modeling. - Karthikeya S. Parunandi, Suman Chakravorty:
T-PFC: A Trajectory-Optimized Perturbation Feedback Control Approach. - Siddharth Vashishtha, Benjamin Van Durme, Aaron Steven White:
Fine-Grained Temporal Relation Extraction. - Wajih Ullah Baig, Adeel Ejaz, Umar Munir, Kashif Sardar:
Partial Fingerprint Detection Using Core Point Location. - Paul Griffioen, Sean Weerakkody, Bruno Sinopoli:
A Moving Target Defense for Securing Cyber-Physical Systems. - Cengiz Pehlevan:
A Spiking Neural Network with Local Learning Rules Derived From Nonnegative Similarity Matching. - Junhao Li, Hang Zhang:
Blaze: Simplified High Performance Cluster Computing. - Chenge Li, Weixi Zhang, Yong Liu, Yao Wang:
Very Long Term Field of View Prediction for 360-degree Video Streaming. - Trupti Mayee Behera, Sushanta Kumar Mohapatra, Umesh Chandra Samal, Mohammed S. Khan, Mahmoud Daneshmand, Amir H. Gandomi:
Residual Energy Based Cluster-head Selection in WSNs for IoT Application. - Michele Mosca, Sebastian R. Verschoor:
Factoring semi-primes with (quantum) SAT-solvers. - Johan Mathe, Nina Miolane, Nicolas Sébastien, Jeremie Lequeux:
PVNet: A LRCN Architecture for Spatio-Temporal Photovoltaic PowerForecasting from Numerical Weather Prediction. - Michael A. Bekos, Benjamin Niedermann, Martin Nöllenburg:
External Labeling Techniques: A Taxonomy and Survey. - Ariel Barel, Rotem Manor, Alfred M. Bruckstein:
COME TOGETHER: Multi-Agent Geometric Consensus (Gathering, Rendezvous, Clustering, Aggregation). - Mohammad Javad Amiri, Divyakant Agrawal, Amr El Abbadi:
ParBlockchain: Leveraging Transaction Parallelism in Permissioned Blockchain Systems. - Changyeob Shin, Peter Ferguson, Sahba Aghajani Pedram, Ji Ma, Erik P. Dutson, Jacob Rosen:
Learning Soft Tissue Dynamics in Image Space for Automated Bimanual Tissue Manipulation with Surgical Robots. - Domagoj Bradac, Sahil Singla, Goran Zuzic:
(Near) Optimal Adaptivity Gaps for Stochastic Multi-Value Probing. - Mathew Halm, Michael Posa:
Modeling and Analysis of Non-unique Behaviors in Multiple Frictional Impacts. - Chenge Li, Gregory Dobler, Xin Feng, Yao Wang:
TrackNet: Simultaneous Object Detection and Tracking and Its Application in Traffic Video Analysis. - Min Ye, Emmanuel Abbe:
Recursive projection-aggregation decoding of Reed-Muller codes. - Sheng Zhou, Jiajun Bu, Xin Wang, Jiawei Chen, Bingbing Hu, Defang Chen, Can Wang:
HAHE: Hierarchical Attentive Heterogeneous Information Network Embedding. - Nikolaj Tatti:
Faster way to agony: Discovering hierarchies in directed graphs. - Nikolaj Tatti, Taneli Mielikäinen, Aristides Gionis, Heikki Mannila:
What is the dimension of your binary data? - Efthymios Tzinis:
Bootstrapped Coordinate Search for Multidimensional Scaling. - Nikolaj Tatti, Aristides Gionis:
Discovering Nested Communities. - Diego Cifuentes, Shmuel Onn:
On the Complexity of Toric Ideals. - Ivo Düntsch, Günther Gediga:
Confusion matrices and rough set data analysis. - Arthur Stoutchinin, Francesco Conti, Luca Benini:
Optimally Scheduling CNN Convolutions for Efficient Memory Access. - Eshan Singh, Keerthikumara Devarajegowda, Sebastian Simon, Ralf Schnieder, Karthik Ganesan, Mohammad Rahmani Fadiheh, Dominik Stoffel, Wolfgang Kunz, Clark W. Barrett, Wolfgang Ecker, Subhasish Mitra:
Symbolic QED Pre-silicon Verification for Automotive Microcontroller Cores: Industrial Case Study. - Icaro O. de Oliveira, Keiko V. O. Fonseca, Rodrigo Minetto:
A Two-Stream Siamese Neural Network for Vehicle Re-Identification by Using Non-Overlapping Cameras. - Hassan Jameel Asghar, Ming Ding, Thierry Rakotoarivelo, Sirine Mrabet, Mohamed Ali Kâafar:
Differentially Private Release of High-Dimensional Datasets using the Gaussian Copula. - Kwang-Sung Jun, Francesco Orabona:
Parameter-free Online Convex Optimization with Sub-Exponential Noise. - Jackson A. Killian, Bryan Wilder, Amit Sharma, Vinod Choudhary, Bistra Dilkina, Milind Tambe:
Learning to Prescribe Interventions for Tuberculosis Patients using Digital Adherence Data. - Vladimir Karpukhin, Omer Levy, Jacob Eisenstein, Marjan Ghazvininejad:
Training on Synthetic Noise Improves Robustness to Natural Noise in Machine Translation. - Maribel Fernández, Ian Mackie:
Proceedings Tenth International Workshop on Computing with Terms and Graphs, TERMGRAPH@FSCD 2018, Oxford, UK, 7th July 2018. EPTCS 288, 2019 [contents] - Cyril Grunspan, Ricardo Pérez-Marco:
Bitcoin Selfish Mining and Dyck Words. - Yuma Kishi, Tsutomu Ikegami, Shin-ichi O'Uchi, Ryousei Takano, Wakana Nogami, Tomohiro Kudoh:
Perturbative GAN: GAN with Perturbation Layers. - Jialei Chen, Yujia Xie, Kan Wang, Chuck Zhang, Mani A. Vannan, Ben Wang, Zhen Qian:
AVP: Physics-informed Data Generation for Small-data Learning. - Ryota Tanaka, Akihide Ozeki, Shugo Kato, Akinobu Lee:
An Ensemble Dialogue System for Facts-Based Sentence Generation. - Álvaro Parra Bustos, Tat-Jun Chin, Frank Neumann, Tobias Friedrich, Maximilian Katzmann:
A Practical Maximum Clique Algorithm for Matching with Pairwise Constraints. - David Paulius, Yongqiang Huang, Roger Milton, William D. Buchanan, Jeanine Sam, Yu Sun:
Functional Object-Oriented Network for Manipulation Learning. - Fei Liu, Luke Zettlemoyer, Jacob Eisenstein:
The Referential Reader: A Recurrent Entity Network for Anaphora Resolution. - Md Anwarul Kaium Patwary, Saurabh Kumar Garg, Byeong Kang:
Window-based Streaming Graph Partitioning Algorithm. - Jayanta Dey, Md Sanzid Bin Hossain, Mohammad Ariful Haque:
An Ensemble SVM-based Approach for Voice Activity Detection. - Huu Le, Tuan Hoang, Qianggong Zhang, Thanh-Toan Do, Anders P. Eriksson, Michael Milford:
SASSE: Scalable and Adaptable 6-DOF Pose Estimation. - Daewoo Kim, Sangwoo Moon, David Hostallero, Wan Ju Kang, Taeyoung Lee, Kyunghwan Son, Yung Yi:
Learning to Schedule Communication in Multi-agent Reinforcement Learning. - Nguyen Van Quang, Hiromasa Fujihara:
Revisiting a single-stage method for face detection. - Shushman Choudhury, Mykel J. Kochenderfer:
Dynamic Real-time Multimodal Routing with Hierarchical Hybrid Planning. - Benjamin Renoust, Haolin Ren, Guy Melançon:
Animated Drag and Drop Interaction for Dynamic Multidimensional Graphs. - Minyoung Kim, Yuting Wang, Pritish Sahu, Vladimir Pavlovic:
Relevance Factor VAE: Learning and Identifying Disentangled Factors. - Ervin Teng, Bob Iannucci:
Learning to Learn in Simulation. - Hamidreza Alvari, Soumajyoti Sarkar, Paulo Shakarian:
Detection of Violent Extremists in Social Media. - Saurabh Srivastava, Vinay P. Namboodiri, Tadinada Vankata Prabhakar:
PUTWorkbench: Analysing Privacy in AI-intensive Systems. - Biqian Feng, Zhijun Liao, Yongpeng Wu, Juening Jin, Derrick Wing Kwan Ng, Xiang-Gen Xia, Xinbao Gong:
Joint Millimeter Wave and Microwave Wave Resource Allocation Design for Dual-Mode Base Stations. - Michel Barlaud, Antonin Chambolle, Jean-Baptiste Caillau:
Robust supervised classification and feature selection using a primal-dual method. - Antonio L. Alfeo, Mario G. C. A. Cimino, Bruno Lepri, Alex 'Sandy' Pentland, Gigliola Vaglini:
Detecting Permanent and Intermittent Purchase Hotspots via Computational Stigmergy. - Simon Leglaive, Laurent Girin, Radu Horaud:
A variance modeling framework based on variational autoencoders for speech enhancement. - Josh Brunner, Julian Wellman:
An Optimal Algorithm for Online Freeze-tag. - Hidehito Yabuuchi, Daisuke Taniwaki, Shingo Omura:
Low-latency job scheduling with preemption for the development of deep learning. - Prakhar Ganesh, Saket Dingliwal:
Abstractive Summarization of Spoken and Written Conversation. - Luca Bugliari Armenio, Enrico Terzi, Marcello Farina, Riccardo Scattolini:
Echo State Networks: analysis, training and predictive control. - Takayuki Ishizaki, Hampei Sasahara, Masaki Inoue, Jun-ichi Imura:
Modularity-in-Design of Dynamical Network Systems: Retrofit Control Approach. - Markus Suchi, Timothy Patten, Markus Vincze:
EasyLabel: A Semi-Automatic Pixel-wise Object Annotation Tool for Creating Robotic RGB-D Datasets. - Prakhar Ganesh, Saket Dingliwal, Rahul Agarwal:
Literature Survey on Finding Influential Communities in Large Scale Networks. - Eyal Weiss, Michael Margaliot:
A Generalization of Linear Positive Systems. - Steven Squires, Adam Prügel-Bennett, Mahesan Niranjan:
Minimum description length as an objective function for non-negative matrix factorization. - Francis R. Bach, Kfir Y. Levy:
A Universal Algorithm for Variational Inequalities Adaptive to Smoothness and Noise. - Daniel Stroud, Christian Wagner, Peer-Olaf Siebers:
Agent-Based Simulation Modelling for Reflecting on Consequences of Digital Mental Health. - Madyan Alsenwi, Nguyen Hoang Tran, Mehdi Bennis, Anupam Kumar Bairagi, Choong Seon Hong:
eMBB-URLLC Resource Slicing: A Risk-Sensitive Approach. - Guillaume Michel, Mohammed Amine Alaoui, Alice Lebois, Amal Feriani, Mehdi Felhi:
DVOLVER: Efficient Pareto-Optimal Neural Network Architecture Search. - Michael Moor, Max Horn, Bastian Rieck, Damian Roqueiro, Karsten M. Borgwardt:
Temporal Convolutional Networks and Dynamic Time Warping can Drastically Improve the Early Prediction of Sepsis. - Vamoua Yachongka, Hideki Yagi:
Identification, Secrecy, Template, and Privacy-Leakage of Biometric Identification System under Noisy Enrollment. - Michael Blondin, Javier Esparza, Stefan Jaax:
Expressive Power of Oblivious Consensus Protocols. - André Mantas, Fernando M. V. Ramos:
Rama: Controller Fault Tolerance in Software-Defined Networking Made Practical. - Anis Najar, Olivier Sigaud, Mohamed Chetouani:
Interactively shaping robot behaviour with unlabeled human instructions. - Amir Varasteh, Sandra Hofmann, Nemanja Deric, Mu He, Dominic Schupke, Wolfgang Kellerer, Carmen Mas Machuca:
Mobility-Aware Joint Service Placement and Routing in Space-Air-Ground Integrated Networks. - Ruiqi Liu, Ben Boukai, Zuofeng Shang:
Optimal Nonparametric Inference via Deep Neural Network. - Artem Lutov, Mourad Khayati, Philippe Cudré-Mauroux:
Accuracy Evaluation of Overlapping and Multi-resolution Clustering Algorithms on Large Datasets. - Paolo Rossi, Alessandro Strumia, Riccardo Torre:
Bibliometrics for collaboration works. - Alathea Jensen:
Stochastic Enumeration with Importance Sampling. - Lan N. Nguyen, My T. Thai:
Network Resilience Assessment via QoS Degradation Metrics: An Algorithmic Approach. - Isabel Beichl, Alathea Jensen, Francis Sullivan:
A Sequential Importance Sampling Algorithm for Estimating Linear Extensions. - Wei Yang, Yuqing Xie, Aileen Lin, Xingyu Li, Luchen Tan, Kun Xiong, Ming Li, Jimmy Lin:
End-to-End Open-Domain Question Answering with BERTserini. - Nadia Boukhelifa, Anastasia Bezerianos, Ioan Cristian Trelea, Nathalie Perrot, Evelyne Lutton:
An Exploratory Study on Visual Exploration of Model Simulations by Multiple Types of Experts. - Paavo Parmas:
Total stochastic gradient algorithms and applications in reinforcement learning. - Kai Arulkumaran, Antoine Cully, Julian Togelius:
AlphaStar: An Evolutionary Computation Perspective. - Nikolaj Tatti:
Discovering bursts revisited: guaranteed optimization of the model parameters. - Jin Liu, Sheng He:
6D Object Pose Estimation without PnP. - Xuchao Zhang, Shuo Lei, Liang Zhao, Arnold P. Boedihardjo, Chang-Tien Lu:
Robust Regression via Online Feature Selection under Adversarial Data Corruption. - Anders Aamand, Mikkel Abrahamsen, Jakob Bæk Tejs Knudsen, Peter M. R. Rasmussen:
Classifying Convex Bodies by their Contact and Intersection Graphs. - Lilian Besson, Rémi Bonnefoi, Christophe Moy:
GNU Radio Implementation of MALIN: "Multi-Armed bandits Learning for Internet-of-things Networks". - Davide Bacciu, Antonio Bruno:
Deep Tree Transductions - A Short Survey. - Max Aalto, Nakul Verma:
Metric Learning on Manifolds. - Stefan Becker, Ronny Hug, Wolfgang Hübner, Michael Arens:
An RNN-based IMM Filter Surrogate. - Besnik Fetahu, Avishek Anand, Maria Koutraki:
TableNet: An Approach for Determining Fine-grained Relations for Wikipedia Tables. - Bart M. P. Jansen, László Kozma, Jesper Nederlof:
Hamiltonicity below Dirac's condition. - Genevieve Gorrell, Mehmet E. Bakir, Ian Roberts, Mark A. Greenwood, Benedetta Iavarone, Kalina Bontcheva:
Partisanship, Propaganda and Post-Truth Politics: Quantifying Impact in Online Debate. - Po-An Chen, Chi-Jen Lu:
An Alternating Algorithm for Finding Linear Arrow-Debreu Market Equilibrium. - Holger Boche, Minglai Cai, Ning Cai:
Message transmission over classical quantum channels with a Jammer with side information; correlation as resource and common randomness generating. - Alexander A. Sherstov:
The Hardest Halfspace. - Dustin Dannenhauer, Michael W. Floyd, Jonathan Decker, David W. Aha:
Dungeon Crawl Stone Soup as an Evaluation Domain for Artificial Intelligence. - Stephan Alaniz, Zeynep Akata:
XOC: Explainable Observer-Classifier for Explainable Binary Decisions. - Thomas Frerix, Matthias Nießner, Daniel Cremers:
Linear Inequality Constraints for Neural Network Activations. - Sean Vaskov, Utkarsh Sharma, Shreyas Kousik, Matthew Johnson-Roberson, Ramanarayan Vasudevan:
Guaranteed Safe Reachability-based Trajectory Design for a High-Fidelity Model of an Autonomous Passenger Vehicle. - Fabio Crestani, Stefano Mizzaro, Ivan Scagnetto:
Mobile Information Retrieval. - Tianwei Hou, Yuanwei Liu, Zhengyu Song, Xin Sun, Yue Chen:
Exploiting NOMA/OMA for Multi-UAV Communications in Large-Scale Networks. - Seyedroohollah Hosseini, Xuan Guo:
Deep Convolutional Neural Network for Automated Detection of Mind Wandering using EEG Signals. - Patrícia Alves-Oliveira, Pedro Sequeira, Francisco S. Melo, Ginevra Castellano, Ana Paiva:
Empathic Robot for Group Learning: A Field Study. - Moritz Mühlenthaler, Alexander Raß, Manuel Schmitt, Rolf Wanka:
Exact Markov Chain-based Runtime Analysis of a Discrete Particle Swarm Optimization Algorithm on Sorting and OneMax. - Mohammad A. Al-Jarrah, Ki-Hong Park, Arafat Al-Dweik, Mohamed-Slim Alouini:
Error Rate Analysis of Amplitude-Coherent Detection over Rician Fading Channels with Receiver Diversity. - Felix Dangel, Philipp Hennig:
A Modular Approach to Block-diagonal Hessian Approximations for Second-order Optimization Methods. - Giorgio Taricco:
MIMO Capacity with Average Total and Per-Antenna Power Constraints. - Giuseppe C. Ng:
A Study of an Agile Methodology with Scrum Approach to the Filipino Company-Sponsored I.T. Capstone Program. - Daniel Méndez Fernández, Xavier Franch, Norbert Seyff, Michael Felderer, Martin Glinz, Marcos Kalinowski, Andreas Vogelsang, Stefan Wagner, Stan Bühne, Kim Lauenroth:
Do We Preach What We Practice? Investigating the Practical Relevance of Requirements Engineering Syllabi - The IREB Case. - Süleyman Aslan, Ugur Güdükbay, B. Ugur Töreyin, A. Enis Çetin:
Deep Convolutional Generative Adversarial Networks Based Flame Detection in Video. - Wajih Halim Boukaram, George Turkiyyah, David E. Keyes:
Hierarchical Matrix Operations on GPUs: Matrix-Vector Multiplication and Compression. - Roberto Valle, José Miguel Buenaposada, Antonio Valdés, Luis Baumela:
Face Alignment using a 3D Deeply-initialized Ensemble of Regression Trees. - Polina Rozenshtein, Nikolaj Tatti, Aristides Gionis:
Inferring the strength of social ties: a community-driven approach. - Amritanshu Agrawal, Wei Fu, Di Chen, Xipeng Shen, Tim Menzies:
How to "DODGE" Complex Software Analytics? - Ilja Kuzborskij, Nicolò Cesa-Bianchi, Csaba Szepesvári:
Distribution-Dependent Analysis of Gibbs-ERM Principle. - Tuhin Sarkar, Alexander Rakhlin, Munther A. Dahleh:
Finite-Time System Identification for Partially Observed LTI Systems of Unknown Order. - Moustafa AboulAtta, Matthias Ossadnik, Seyed-Ahmad Ahmadi:
Stabilizing Inputs to Approximated Nonlinear Functions for Inference with Homomorphic Encryption in Deep Neural Networks. - Nikolaj Tatti:
Dynamic hierarchies in temporal directed networks. - Tom Denat, Ararat Harutyunyan, Vangelis Th. Paschos:
Average-case complexity of a branch-and-bound algorithm for min dominating set. - Shane T. Mueller, Robert R. Hoffman, William J. Clancey, Abigail Emrey, Gary Klein:
Explanation in Human-AI Systems: A Literature Meta-Review, Synopsis of Key Ideas and Publications, and Bibliography for Explainable AI. - Mohammad Sadnan Al Manir, Jon Haël Brenas, Christopher J. O. Baker, Arash Shaban-Nejad:
A Surveillance Infrastructure for Malaria Analytics: Provisioning Data Access and Preservation of Interoperability. - Sagar Sharma, Keke Chen:
Disguised-Nets: Image Disguising for Privacy-preserving Deep Learning. - Tomasz Arodz, Seyran Saeedi:
Quantum Sparse Support Vector Machines. - Joshua Romoff, Peter Henderson, Ahmed Touati, Yann Ollivier, Emma Brunskill, Joelle Pineau:
Separating value functions across time-scales. - James Pustejovsky, Nikhil Krishnaswamy:
Situational Grounding within Multimodal Simulations. - Baraq Ghaleb, Ahmed Yassin Al-Dubai, Elias Ekonomou, Ayoub Alsarhan, Youssef Nasser, Lewis M. Mackenzie, Azzedine Boukerche:
A Survey of Limitations and Enhancements of the IPv6 Routing Protocol for Low-power and Lossy Networks: A Focus on Core Operations. - Micha Livne, David J. Fleet:
TzK: Flow-Based Conditional Generative Model. - Ang Li, Ola Spyra, Sagi Perel, Valentin Dalibard, Max Jaderberg, Chenjie Gu, David Budden, Tim Harley, Pramod Gupta:
A Generalized Framework for Population Based Training. - Sepideh Aghamolaei, Mohammad Ghodsi:
A Composable Coreset for k-Center in Doubling Metrics. - Fei Wu, Yang Cao, Thomas G. Robertazzi:
Optimal Divisible Load Scheduling for Resource-Sharing Network. - Fei Wu, Yang Cao, Thomas G. Robertazzi:
Reinforcement Learning for Optimal Load Distribution Sequencing in Resource-Sharing System. - Udaya Ghai, Elad Hazan, Yoram Singer:
Exponentiated Gradient Meets Gradient Descent. - Zeming Yu, Linhai Song, Yiying Zhang:
Fearless Concurrency? Understanding Concurrent Programming Safety in Real-World Rust Software. - Mark Koren, Saud Alsaif, Ritchie Lee, Mykel J. Kochenderfer:
Adaptive Stress Testing for Autonomous Vehicles. - Elias Benamira, Fatiha Merazka, Gunes Karabulut-Kurt:
Joint Channel Coding and Cooperative Network Coding on PSK Constellations in Wireless Networks. - Eldad Meller, Alexander Finkelstein, Uri Almog, Mark Grobman:
Same, Same But Different - Recovering Neural Network Quantization Error Through Weight Factorization. - Tarek Gueham, Fatiha Merazka:
An Enhanced Interleaving Frame Loss Concealment Method for Voice Over IP Network Services. - Adam Cavatassi, Thibaud Tonnellier, Warren J. Gross:
Fast Decoding of Multi-Kernel Polar Codes. - Ali Vahdat, Mouloud Belbahri, Vahid Partovi Nia:
Active Learning for High-Dimensional Binary Features. - K. V. Kostenko:
Real-time Communication between Robot PLC and PC over Ethernet-based Protocols. - Sandhya Aneja, Nagender Aneja, Md. Shohidul Islam:
IoT Device Fingerprint using Deep Learning. - Jinghao Shi, Edwin Santos, Geoffrey Challen:
Lessons from Four Years of PHONELAB Experimentation. - Igor Colin, Albert Thomas, Moez Draief:
Parallel Contextual Bandits in Wireless Handover Optimization. - Jonathan Crussell, Thomas M. Kroeger, Aaron Brown, Cynthia A. Phillips:
Virtually the Same: Comparing Physical and Virtual Testbeds. - Yahui Sun, Marcus Brazil, Doreen A. Thomas, Saman K. Halgamuge:
The Fast Heuristic Algorithms and Post-Processing Techniques to Design Large and Low-Cost Communication Networks. - Yanshi Sun, Zhiguo Ding, Xuchu Dai:
A User-Centric Cooperative Scheme for UAV Assisted Wireless Networks in Malfunction Areas. - Merim Dzaferagic, Nicola Marchetti, Irene Macaluso:
A Distributed Self-Organization Approach to Minimize the Signaling and Delay Caused by Mobility Management Function in Cellular Networks. - Lokman Sboui, Zouheir Rezki, Ahmed K. Sultan, Mohamed-Slim Alouini:
A New Relation Between Energy Efficiency and Spectral Efficiency in Wireless Communications Systems. - Walid R. Ghanem, Reem E. Mohamed, Mona Shokair, Moawad I. Dessouky:
Particle Swarm Optimization Approaches for Primary User Emulation Attack Detection and Localization in Cognitive Radio Networks. - Jingjing Wang, Chunxiao Jiang, Haijun Zhang, Yong Ren, Kwang-Cheng Chen, Lajos Hanzo:
Thirty Years of Machine Learning: The Road to Pareto-Optimal Next-Generation Wireless Networks. - Shengwei Lin, Ziqiang Ying, Kan Zheng:
Design and Implementation of Location and Activity Monitoring System Based on LoRa. - Nurul Huda Mahmood, Daniela Laselva, David Palacios, Mustafa Emara, Miltiades C. Filippou, Dong Min Kim, Isabel de la Bandera:
Multi-Channel Access Solutions for 5G New Radio. - Vasilii Semkin, Aleksei A. Ponomarenko-Timofeev, Aki Karttunen, Olga Galinina, Sergey Andreev, Yevgeni Koucheryavy:
Path Loss Characterization for Intra-Vehicle Wearable Deployments at 60 GHz. - Kristy Choi, Mike Wu, Noah D. Goodman, Stefano Ermon:
Meta-Amortized Variational Inference and Learning. - Yang Cao, Fei Wu, Thomas G. Robertazzi:
Integrating Amdahl-like Laws and Divisible Load Theory. - Alexander LeClair, Siyuan Jiang, Collin McMillan:
A Neural Model for Generating Natural Language Summaries of Program Subroutines. - Kazuki Irie, Rohit Prabhavalkar, Anjuli Kannan, Antoine Bruguier, David Rybach, Patrick Nguyen:
Model Unit Exploration for Sequence-to-Sequence Speech Recognition. - Alex Nowak-Vila, Francis R. Bach, Alessandro Rudi:
A General Theory for Structured Prediction with Smooth Convex Surrogates. - Daniel Gibney, Sharma V. Thankachan:
On the Hardness and Inapproximability of Recognizing Wheeler Graphs. - Daniel Lemire, Owen Kaser, Nathan Kurz:
Faster Remainder by Direct Computation: Applications to Compilers and Software Libraries. - Christopher M. Bender, Juan Jose Garcia, Kevin O'Connor, Junier Oliva:
Permutation Invariant Likelihoods and Equivariant Transformations. - Hamidreza Alvari, Paulo Shakarian:
Hawkes Process for Understanding the Influence of Pathogenic Social Media Accounts. - Harish Kumar, Balaraman Ravindran:
Polyphonic Music Composition with LSTM Neural Networks and Reinforcement Learning. - Alireza Javani, Zhiying Wang:
Age of Information in Multiple Sensing of a Single Source. - Yueru Chen, Yijing Yang, Min Zhang, C.-C. Jay Kuo:
Semi-supervised learning via Feedforward-Designed Convolutional Neural Networks. - Milad Afzalan, Farrokh Jazizadeh:
An Automated Spectral Clustering for Multi-scale Data. - Yiming Cai, Junbo Zhang, Weizhou Yu:
A Predictor-Corrector Method for Power System Variable Step Numerical Simulation. - Yang Cao, Fei Wu, Thomas G. Robertazzi:
Scheduling and Trade-off Analysis for Multi-Source Multi-Processor Systems with Divisible Loads. - Keigo Kawamura, Yoshimasa Tsuruoka:
Neural Fictitious Self-Play on ELF Mini-RTS. - (Withdrawn) Robust Matrix Completion State Estimation in Distribution Systems.
- Clemens Grabmayer:
Modeling Terms by Graphs with Structure Constraints (Two Illustrations). 1-13 - Wolfram Kahl, Yuhang Zhao:
Semantics-Preserving DPO-Based Term Graph Rewriting. 26-37 - Mitsuhiro Okada, Yuta Takahashi:
On Quasi Ordinal Diagram Systems. 38-49 - János Varga:
Finding the Transitive Closure of Functional Dependencies using Strategic Port Graph Rewriting. 50-62 - Tianyu Zhang, Tao Gong, Song Han, Qingxu Deng, Xiaobo Sharon Hu:
Fully Distributed Packet Scheduling Framework for Handling Disturbances in Lossy Real-Time Wireless Networks. - Juyeon Heo, Sunghwan Joo, Taesup Moon:
Fooling Neural Network Interpretations via Adversarial Model Manipulation. - Jinshan Zeng, Shaobo Lin, Yuan Yao:
A Convergence Analysis of Nonlinearly Constrained ADMM in Deep Learning. - Himangshu Kalita, Jekan Thangavelautham:
Motion Planning on an Asteroid Surface with Irregular Gravity Fields. - Derui Wang, Chaoran Li, Sheng Wen, Surya Nepal, Yang Xiang:
Daedalus: Breaking Non-Maximum Suppression in Object Detection via Adversarial Examples. - Naoya Takeishi, Yoshinobu Kawahara:
Regularizing Generative Models Using Knowledge of Feature Dependence. - Konstantinos Makantasis, Anastasios D. Doulamis, Nikolaos Doulamis, Athanasios Voulodimos:
Common Mode Patterns for Supervised Tensor Subspace Learning. - Satya Almasian, Andreas Spitz, Michael Gertz:
Word Embeddings for Entity-annotated Texts. - Carlos Vega, Javier Aracil, Eduardo Magaña:
KISS methodologies for network management and anomaly detection. - Simone Scardapane, Steven Van Vaerenbergh, Danilo Comminiello, Aurelio Uncini:
Widely Linear Kernels for Complex-Valued Kernel Activation Functions. - Punarjay Chakravarty, Praveen Narayanan, Tom Roussel:
GEN-SLAM: Generative Modeling for Monocular Simultaneous Localization and Mapping. - Minseok Choi, Joongheon Kim:
Blind Signal Classification Analysis and Impact on User Scheduling and Power Allocation in Nonorthogonal Multiple Access. - Leonid Gremyachikh, Dmitrii Dubov, Nikita Kazeev, Andrey Kulibaba, Andrey Skuratov, Anton Tereshkin, Andrey Ustyuzhanin, Lubov Shiryaeva, Sergej Shishkin:
Space Navigator: a Tool for the Optimization of Collision Avoidance Maneuvers. - Viviana Arrigoni, Annalisa Massini:
Fast Strassen-based $A^t A$ Parallel Multiplication. - Max F. Frenzel, Bogdan Teleaga, Asahi Ushio:
Latent Space Cartography: Generalised Metric-Inspired Measures and Measure-Based Transformations for Generative Models. - Lukasz Maziarka, Agnieszka Pocha, Jan Kaczmarczyk, Krzysztof Rataj, Michal Warchol:
Mol-CycleGAN - a generative model for molecular optimization. - Mohamed Ezzeldin A. Elshaer, Scott Wisdom, Taniya Mishra:
Transfer Learning From Sound Representations For Anger Detection in Speech. - Andrea Pozzi, Massimo Zambelli, Antonella Ferrara, Davide Martino Raimondo:
Balancing-Aware Charging Strategy For Series-Connected Lithium-Ion Cells: A Nonlinear Model Predictive Control Approach. - Victor Magron, Henning Seidler, Timo de Wolff:
Exact Optimization via Sums of Nonnegative Circuits and Sums of AM/GM Exponentials. - Félix Díaz-Hermida, Marcos Matabuena, Juan Carlos Vidal:
The FA Quantifier Fuzzification Mechanism: analysis of convergence and efficient implementations. - Christof Löding, Anton Pirogov:
Determinization of Büchi Automata: Unifying the Approaches of Safra and Muller-Schupp. - Ettore Rizza, Anne Chardonnens, Seth van Hooland:
Close-reading of Linked Data: a case study in regards to the quality of online authority files. - Dwarikanath Mahapatra, Behzad Bozorgtabar:
Progressive Generative Adversarial Networks for Medical Image Super resolution. - Mouadh Ayachi:
Etude de la Distribution de Calculs Creux sur une Grappe Multi-coeurs. - Pierre Coupechoux, Marc Demange, David Ellison, Bertrand Jouve:
Firefighting on Trees. - Baohua Sun, Lin Yang, Catherine Chi, Wenhan Zhang, Michael Lin:
Squared English Word: A Method of Generating Glyph to Use Super Characters for Sentiment Analysis. - Swayambhu Nath Ray, Shib Sankar Dasgupta, Partha P. Talukdar:
AD3: Attentive Deep Document Dater. - M. R Akram, C. P Singhabahu, M. S. M. Saad, P Deleepa, Anupiya Nugaliyadde, Yashas Mallawarachchi:
Adaptive Artificial Intelligent Q&A Platform. - Nasr Al-Zaben, Md Mehedi Hassan Onik, Chul-Soo Kim, Jinhong Yang:
Communication Interface Identifier Protocol (CIIP): An Energy Efficient Protocol for smaller IoT Sensor. - Vaibhav Bajpai, Anna Brunström, Anja Feldmann, Wolfgang Kellerer, Aiko Pras, Henning Schulzrinne, Georgios Smaragdakis, Matthias Wählisch, Klaus Wehrle:
The Dagstuhl Beginners Guide to Reproducibility for Experimental Networking Research. - Yuxin Hou, Arno Solin, Juho Kannala:
Unstructured Multi-View Depth Estimation Using Mask-Based Multiplane Representation. - Lukas Schmelzeisen, Steffen Staab:
Learning Taxonomies of Concepts and not Words using Contextualized Word Representations: A Position Paper. - Dalina Aidee Villa, Igor Barahona, Luis Javier Álvarez:
Diseño de un espacio semántico sobre la base de la Wikipedia. Una propuesta de análisis de la semántica latente para el idioma español. - Ryosuke Abe:
Blockchain Storage Load Balancing Among DHT Clustered Nodes. - Sayyed-Ali Hossayni, Yousef Alizadeh-Q, Vahid Tavana, Seyed M. Hosseini Nejad, Mohammad-R. Akbarzadeh-T., Esteve del Acebo, Josep Lluís de la Rosa i Esteva, Enrico Grosso, Massimo Tistarelli, Przemyslaw Kudlacik:
A Linear-complexity Multi-biometric Forensic Document Analysis System, by Fusing the Stylome and Signature Modalities. - Logan Martel, Edward Newell, Drew Margolin, Derek Ruths:
Assessing Partisan Traits of News Text Attributions. - Andrea Galassi, Marco Lippi, Paolo Torroni:
Attention, please! A Critical Review of Neural Attention Models in Natural Language Processing. - Wojciech Marian Czarnecki, Razvan Pascanu, Simon Osindero, Siddhant M. Jayakumar, Grzegorz Swirszcz, Max Jaderberg:
Distilling Policy Distillation. - Philip Bille, Inge Li Gørtz, Pawel Gawrychowski, Gad M. Landau, Oren Weimann:
Top Tree Compression of Tries. - Sean Welleck, Kianté Brantley, Hal Daumé III, Kyunghyun Cho:
Non-Monotonic Sequential Text Generation. - Romain Edelmann, Viktor Kuncak:
Neural-Network Guided Expression Transformation. - Ioannis P. Georgakis, Ilias I. Giannakopoulos, Mikhail S. Litsarev, Athanasios G. Polimeridis:
A Fast Volume Integral Equation Solver with Linear Basis Functions for the Accurate Computation of Electromagnetic Fields in MRI. - Akbar Rafiey, Arash Rafiey, Thiago Santos:
Toward a Dichotomy for Approximation of $H$-coloring. - Amin Coja-Oghlan, Oliver Gebhard, Max Hahn-Klimroth, Philipp Loick:
Information-theoretic and algorithmic thresholds for group testing. - Nam Vu-Bac, Thang X. Duong, Tom Lahmer, Xiaoying Zhuang, Roger Andrew Sauer, H. S. Parke, Timon Rabczuk:
A NURBS-based Inverse Analysis for Reconstruction of Nonlinear Deformations of Thin Shell Structures. - Anjany Sekuboyina, Markus Rempfler, Alexander Valentinitsch, Jan S. Kirschke, Bjoern H. Menze:
Adversarially Learning a Local Anatomical Prior: Vertebrae Labelling with 2D reformations. - Shervin Rahimzadeh Arashloo, Josef Kittler:
Robust One-Class Kernel Spectral Regression. - Yuri Murillo, Alessandro Chiumento, Brecht Reynders, Sofie Pollin:
SDN On BLE: Controlling Resource Constrained Mesh Networks. - Shaofeng Zou, Tengyu Xu, Yingbin Liang:
Finite-Sample Analysis for SARSA and Q-Learning with Linear Function Approximation. - Yahav Bechavod, Katrina Ligett, Aaron Roth, Bo Waggoner, Zhiwei Steven Wu:
Equal Opportunity in Online Classification with Partial Feedback. - Alina Beygelzimer, Dávid Pál, Balázs Szörényi, Devanathan Thiruvenkatachari, Chen-Yu Wei, Chicheng Zhang:
Bandit Multiclass Linear Classification: Efficient Algorithms for the Separable Case. - Anant Gupta, Srivas Venkatesh, Sumit Chopra, Christian Ledig:
Generative Image Translation for Data Augmentation of Bone Lesion Pathology. - Pierre-Etienne Meunier, Damien Regnault:
Non-cooperatively assembling large structures: a 2D pumping lemma cannot be as powerful as its 1D counterpart. - Kaveh Fathian, Kasra Khosoussi, Parker C. Lusk, Yulun Tian, Jonathan P. How:
CLEAR: A Consistent Lifting, Embedding, and Alignment Rectification Algorithm for Multi-Agent Data Association. - Eliya Nachmani, Lior Wolf:
Unsupervised Polyglot Text To Speech. - Saad Kriouile, Maialen Larrañaga, Mohamad Assaad:
Whittle Index Policy for Multichannel Scheduling in Queueing Systems. - Mauricio Gonzalez-Soto, Luis Enrique Sucar, Hugo Jair Escalante:
A Guiding Principle for Causal Decision Problems. - Praveen Venkatesh, Sanghamitra Dutta, Pulkit Grover:
Information Flow in Computational Systems. - Kalvik Jakkala, Arupjyoti Bhuyan, Zhi Sun, Pu Wang, Zhuo Cheng:
Deep CSI Learning for Gait Biometric Sensing and Recognition. - Aditya Chattopadhyay, Piyushi Manupriya, Anirban Sarkar, Vineeth N. Balasubramanian:
Neural Network Attributions: A Causal Perspective. - Sayan Bhattacharya, Monika Henzinger, Stefan Neumann:
New Amortized Cell-Probe Lower Bounds for Dynamic Problems. - Muhammed Ali Sit, Ibrahim Demir:
Decentralized Flood Forecasting Using Deep Neural Networks. - Alex Tong Lin, Mark J. Debord, Katia Estabridis, Gary A. Hewer, Stanley J. Osher:
CESMA: Centralized Expert Supervises Multi-Agents. - Nicholas Carlini:
Is AmI (Attacks Meet Interpretability) Robust to Adversarial Examples? - Neama Abdulaziz Dahan, Fadl Mutaher Ba-Alwi:
Extending a model for ontology-based Arabic-English machine translation. - Kamellia Reshadi:
Unary Patterns of Size Four with Morphic Permutations. - Jacob Jackson, John Schulman:
Semi-Supervised Learning by Label Gradient Alignment. - Kai-Cheng Yang, Pik-Mai Hui, Filippo Menczer:
Bot Electioneering Volume: Visualizing Social Bot Activity During Elections. - Dongming Wei, Zhengwang Wu, Gang Li, Xiaohuan Cao, Dinggang Shen, Qian Wang:
Deep Morphological Simplification Network (MS-Net) for Guided Registration of Brain Magnetic Resonance Images. - Anastasiia Butko, Florent Bruguier, David Novo, Abdoulaye Gamatié, Gilles Sassatelli:
Exploration of Performance and Energy Trade-offs for Heterogeneous Multicore Architectures. - Oded Ben-David, Zohar Ringel:
The role of a layer in deep neural networks: a Gaussian Process perspective. - Guillaume Alain, Nicolas Le Roux, Pierre-Antoine Manzagol:
Negative eigenvalues of the Hessian in deep neural networks. - Paul A. Yushkevich, Ahmed H. Aly, Jiancong Wang, Long Xie, Robert C. Gorman, Alison M. Pouch, Laurent Younes:
Diffeomorphic Medial Modeling. - Xiang Fu, Shangdi Yu, Austin R. Benson:
Modeling and Analysis of Tagging Networks in Stack Exchange Communities. - Jixuan Wang, Kuan-Chieh Wang, Marc T. Law, Frank Rudzicz, Michael Brudno:
Centroid-based deep metric learning for speaker recognition. - Christopher Rackauckas, Mike Innes, Yingbo Ma, Jesse Bettencourt, Lyndon White, Vaibhav Dixit:
DiffEqFlux.jl - A Julia Library for Neural Differential Equations. - Artem M. Grachev, Dmitry I. Ignatov, Andrey V. Savchenko:
Compression of Recurrent Neural Networks for Efficient Language Modeling. - Yiming Wang, Xing Fan, I-Fan Chen, Yuzong Liu, Tongfei Chen, Björn Hoffmeister:
End-to-end Anchored Speech Recognition. - Mark Ibrahim, Melissa Louie, Ceena Modarres, John W. Paisley:
Global Explanations of Neural Networks: Mapping the Landscape of Predictions. - Alexander Ororbia, Ahmed Ahmed Elsaid, Travis Desell:
Investigating Recurrent Neural Network Memory Structures using Neuro-Evolution. - Nikolaj Tatti, Jilles Vreeken:
Finding Good Itemsets by Packing Data. - Suda Bharadwaj, Rayna Dimitrova, Ufuk Topcu:
Distributed Synthesis of Surveillance Strategies for Mobile Sensors. - Ankit Dhall, Dengxin Dai, Luc Van Gool:
Real-time 3D Traffic Cone Detection for Autonomous Driving. - William Kretschmer:
$\mathsf{QMA}$ Lower Bounds for Approximate Counting. - Payel Das, Brian Quanz, Pin-Yu Chen, Jae-wook Ahn:
Toward A Neuro-inspired Creative Decoder. - Brian Xu, Mitra Mohtarami, James R. Glass:
Adversarial Domain Adaptation for Stance Detection. - Adam Cavatassi, Thibaud Tonnellier, Warren J. Gross:
Asymmetric Construction of Low-Latency and Length-Flexible Polar Codes. - Tim Cooijmans, James Martens:
On the Variance of Unbiased Online Recurrent Optimization. - Vasishtha Sriram Jayapati, Ajay Venkitaraman:
A Comparison of Information Retrieval Techniques for Detecting Source Code Plagiarism. - Stanko Novakovic, Yizhou Shan, Aasheesh Kolli, Michael Cui, Yiying Zhang, Haggai Eran, Liran Liss, Michael Wei, Dan Tsafrir, Marcos K. Aguilera:
Storm: a fast transactional dataplane for remote data structures. - Tinu Theckel Joy, Santu Rana, Sunil Gupta, Svetha Venkatesh:
Fast Hyperparameter Tuning using Bayesian Optimization with Directional Derivatives. - Qiwei Xie, Liang Tang, Weifu Li, Vijay John, Yong Hu:
Principal Model Analysis Based on Partial Least Squares. - Chin Ho Lee:
Fourier bounds and pseudorandom generators for product tests. - Haoran Yu, Ermin Wei, Randall A. Berry:
Analyzing Location-Based Advertising for Vehicle Service Providers Using Effective Resistances. - Bowen Yi, Slobodan N. Vukosavic, Romeo Ortega, Aleksandar M. Stankovic, Weidong Zhang:
A New Signal Injection-based Method for Estimation of Position in Salient Permanent Magnet Synchronous Motors. - Shreyas Ramakrishna, Abhishek Dubey, Matthew P. Burruss, Charles Hartsell, Nagabhushan Mahadevan, Saideep Nannapaneni, Aron Laszka, Gabor Karsai:
Augmenting Learning Components for Safety in Resource Constrained Autonomous Robots. - Paola Quaglia:
Walking on SR-automata to detect grammar ambiguity. - Lukasz Kidzinski, Carmichael F. Ong, Sharada Prasanna Mohanty, Jennifer L. Hicks, Sean F. Carroll, Bo Zhou, Hong-cheng Zeng, Fan Wang, Rongzhong Lian, Hao Tian, Wojciech Jaskowski, Garrett Andersen, Odd Rune Lykkebø, Nihat Engin Toklu, Pranav Shyam, Rupesh Kumar Srivastava, Sergey Kolesnikov, Oleksii Hrinchuk, Anton Pechenko, Mattias Ljungström, Zhen Wang, Xu Hu, Zehong Hu, Minghui Qiu, Jun Huang, Aleksei Shpilman, Ivan Sosin, Oleg Svidchenko, Aleksandra Malysheva, Daniel Kudenko, Lance Rane, Aditya Bhatt, Zhengfei Wang, Penghui Qi, Zeyang Yu, Peng Peng, Quan Yuan, Wenxin Li, Yunsheng Tian, Ruihan Yang, Pingchuan Ma, Shauharda Khadka, Somdeb Majumdar, Zach Dwiel, Yinyin Liu, Evren Tumer, Jeremy D. Watson, Marcel Salathé, Sergey Levine, Scott L. Delp:
Artificial Intelligence for Prosthetics - challenge solutions. - Sunil Mallya, J. Marc Overhage, Navneet Srivastava, Tatsuya Arai, Cole Erdman:
Effectiveness of LSTMs in Predicting Congestive Heart Failure Onset. - Shuai Wang, Lei Cheng, Minghua Xia, Yik-Chung Wu:
Massive MIMO Multicast Beamforming Via Accelerated Random Coordinate Descent. - Byung Hyun Lee, Se Young Chun:
Speeding up scaled gradient projection methods using deep neural networks for inverse problems in image processing. - Magauiya Zhussip, Shakarim Soltanayev, Se Young Chun:
Theoretical analysis on Noise2Noise using Stein's Unbiased Risk Estimator for Gaussian denoising: Towards unsupervised training with clipped noisy images. - Jerry Li, Aleksandar Nikolov, Ilya P. Razenshteyn, Erik Waingarten:
On Mean Estimation for General Norms with Statistical Queries. - Yusuf Sulistyo Nugroho, Hideaki Hata, Kenichi Matsumoto:
How Different Are Different diff Algorithms in Git? Use -histogram for Code Changes. - Mark Harvilla, Jincheng Du:
Prospective Hybrid Consensus for Project PAI. - Jincheng Du, Dan Fang, Mark Harvilla:
PAI Data, Summary of the Project PAI Data Protocol. - Qingqing Wu, Weidong Mei, Rui Zhang:
Safeguarding Wireless Network with UAVs: A Physical Layer Security Perspective. - Wesley J. Maddox, Timur Garipov, Pavel Izmailov, Dmitry P. Vetrov, Andrew Gordon Wilson:
A Simple Baseline for Bayesian Uncertainty in Deep Learning. - Lahiru D. Chamain, Prathapasinghe Dharmawansa, Saman Atapattu, Chintha Tellambura:
Eigenvalue Based Detection of a Signal in Colored Noise: Finite and Asymptotic Analyses. - Ayyoob Hamza, Dinesha Ranathunga, Hassan Habibi Gharakheili, Theophilus Benson, Matthew Roughan, Vijay Sivaraman:
Verifying and Monitoring IoTs Network Behavior using MUD Profiles. - Giulia Michieletto, Angelo Cenedese, Luca Zaccarian, Antonio Franchi:
Hierarchical non-linear control for multi-rotor asymptotic stabilization based on zero-moment direction. - Xinrui Cui, Dan Wang, Z. Jane Wang:
CHIP: Channel-wise Disentangled Interpretation of Deep Convolutional Neural Networks. - Pavel S. Ruzankin:
A fast algorithm for constructing balanced binary search trees. - Leon Bosnjak, Bostjan Brumen:
Shoulder Surfing: From An Experimental Study to a Comparative Framework. - Jinyang Yuan, Bin Li, Xiangyang Xue:
Spatial Mixture Models with Learnable Deep Priors for Perceptual Grouping. - Tai Hoang, Huy Le, Tho Quan:
Towards Autoencoding Variational Inference for Aspect-based Opinion Summary. - K. B. Nakshatrala, M. S. Joshaghani:
On interface conditions for flows in coupled free-porous media. - Massimiliano Gargiulo:
Advances on CNN-based super-resolution of Sentinel-2 images. - Matthew Stephenson, Jochen Renz:
Agent-Based Adaptive Level Generation for Dynamic Difficulty Adjustment in Angry Birds. - Ermin Sakic, Wolfgang Kellerer:
BFT Protocols for Heterogeneous Resource Allocations in Distributed SDN Control Plane. - Lin Gao, Giorgio Battistelli, Luigi Chisci, Ping Wei:
Distributed Joint Sensor Registration and Multitarget Tracking Via Sensor Network. - Kiran Kumari, Bijnan Bandyopadhyay, Kyung-Soo Kim, Hyungbo Shim:
Output feedback based event-triggered sliding mode control for delta operator systems. - Fedor V. Fomin, Petr A. Golovach, Daniel Lokshtanov, Fahad Panolan, Saket Saurabh, Meirav Zehavi:
Going Far From Degeneracy. - Tiago Ramalho, Marta Garnelo:
Adaptive Posterior Learning: few-shot learning with a surprise-based memory module. - Marc Bocquet, Tifenn Hirtzlin, Jacques-Olivier Klein, Etienne Nowak, Elisa Vianello, Jean-Michel Portal, Damien Querlioz:
In-Memory and Error-Immune Differential RRAM Implementation of Binarized Deep Neural Networks. - Erik Sy, Moritz Moennich, Tobias Mueller, Hannes Federrath, Mathias Fischer:
Enhanced Performance for the encrypted Web through TLS Resumption across Hostnames. - Ivan Heibi, Silvio Peroni, David M. Shotton:
Crowdsourcing open citations with CROCI - An analysis of the current status of open citations, and a proposal. - Ermin Sakic, Wolfgang Kellerer:
Response Time and Availability Study of RAFT Consensus in Distributed SDN Control Plane. - Liang Cheng, Yang Zhang, Yi Zhang, Chen Wu, Zhangtan Li, Yu Fu, Haisheng Li:
Optimizing seed inputs in fuzzing with machine learning. - Ermin Sakic, Vivek Kulkarni, Vasileios Theodorou, Anton Matsiuk, Simon Kuenzer, Nikolaos E. Petroulakis, Konstantinos Fysarakis:
VirtuWind - An SDN- and NFV-based Architecture for Softwarized Industrial Networks. - Ermin Sakic, Wolfgang Kellerer:
Impact of Adaptive Consistency on Distributed SDN Applications: An Empirical Study. - Shlomo Bugdary, Shay Maymon:
Online Clustering by Penalized Weighted GMM. - Hélène Plisnier, Denis Steckelmacher, Diederik M. Roijers, Ann Nowé:
The Actor-Advisor: Policy Gradient With Off-Policy Advice. - Ermin Sakic, Nemanja Deric, Wolfgang Kellerer:
MORPH: An Adaptive Framework for Efficient and Byzantine Fault-Tolerant SDN Control Plane. - Ermin Sakic, Fragkiskos Sardis, Jochen W. Guck, Wolfgang Kellerer:
Towards adaptive state consistency in distributed SDN control plane. - Fabrizio Germano, Vicenç Gómez, Gaël Le Mens:
The few-get-richer: a surprising consequence of popularity-based rankings. - Ahmed Taha, Yi-Ting Chen, Teruhisa Misu, Abhinav Shrivastava, Larry Davis:
Unsupervised Data Uncertainty Learning in Visual Retrieval Systems. - Benjamin Doerr, Carola Doerr, Johannes Lengler:
Self-Adjusting Mutation Rates with Provably Optimal Success Rules. - Nir Diamant, Dean Zadok, Chaim Baskin, Eli Schwartz, Alexander M. Bronstein:
Beholder-GAN: Generation and Beautification of Facial Images with Conditioning on Their Beauty Level. - Serena Elisa Ponta, Henrik Plate, Antonino Sabetta, Michele Bezzi, Cédric Dangremont:
A Manually-Curated Dataset of Fixes to Vulnerabilities of Open-Source Software. - Adrien Lagrange, Mathieu Fauvel, Stéphane May, José M. Bioucas-Dias, Nicolas Dobigeon:
Matrix Cofactorization for Joint Representation Learning and Supervised Classification - Application to Hyperspectral Image Analysis. - Matilda Rhode, Pete Burnap, Kevin Jones:
Dual-task agent for run-time classification and killing of malicious processes. - Tomasz Brengos:
A coalgebraic take on regular and $ω$-regular behaviours. - Luis Cruz, Rui Abreu:
EMaaS: Energy Measurements as a Service for Mobile Applications. - Christopher D. Clack, Nicolas T. Courtois:
Distributed Ledger Privacy: Ring Signatures, Möbius and CryptoNote. - Luis Cruz, Rui Abreu, David Lo:
To the Attention of Mobile Software Developers: Guess What, Test your App! - Ge Wang, Jun Zhao, Nigel Shadbolt:
Are Children Fully Aware of Online Privacy Risks and How Can We Improve Their Coping Ability? - Bita Azari, Angelica Lim, Richard T. Vaughan:
Commodifying Pointing in HRI: Simple and Fast Pointing Gesture Detection from RGB-D Images. - Elisa Gorla:
Rank-metric codes. - Shuai D. Han, Jingjin Yu:
Integer Programming as a General Solution Methodology for Path-Based Optimization in Robotics: Principles and Best Practices. - Iain A. D. Gunn, Ludmila I. Kuncheva:
Bounds for the VC Dimension of 1NN Prototype Sets. - Divya Grover, Christos Dimitrakakis:
Deeper & Sparser Exploration. - Asa Cooper Stickland, Iain Murray:
BERT and PALs: Projected Attention Layers for Efficient Adaptation in Multi-Task Learning. - Peng Xiao, Samuel Cheng:
Neural Network for NILM Based on Operational State Change Classification. - Daan de Geus, Panagiotis Meletis, Gijs Dubbelman:
Single Network Panoptic Segmentation for Street Scene Understanding. - Akshay Jain, Elena López-Aguilera, Ilker Demirkol:
Are Mobility Management Solutions Ready for 5G? - Joost Visser, Alessandro Corbetta, Vlado Menkovski, Federico Toschi:
StampNet: unsupervised multi-class object discovery. - Marius Bozga, Radu Iosif, Joseph Sifakis:
Structural Invariants for Parametric Verification of Systems with Almost Linear Architectures. - Ioannis Dimitriou, Nikolaos Pappas:
A Random Access G-Network: Stability, Stable Throughput, and Queueing Analysis. - Shaleen Deep, Paraschos Koutris:
Ranked Enumeration of Conjunctive Query Results. - Anil Koyuncu, Tegawendé F. Bissyandé, Dongsun Kim, Kui Liu, Jacques Klein, Martin Monperrus, Yves Le Traon:
D&C: A Divide-and-Conquer Approach to IR-based Bug Localization. - Abhishek Laddha, Mohamed Hanoosh, Debdoot Mukherjee, Parth Patwa, Ankur Narang:
Understanding Chat Messages for Sticker Recommendation in Hike Messenger. - Abhishek Laddha, Arjun Mukherjee:
Aspect Specific Opinion Expression Extraction using Attention based LSTM-CRF Network. - Abhisek Dash, Animesh Mukherjee, Saptarshi Ghosh:
A Network-centric Framework for Auditing Recommendation Systems. - Vianney Loing, Renaud Marlet, Mathieu Aubry:
Virtual Training for a Real Application: Accurate Object-Robot Relative Localization without Calibration. - Chinmay S. Kulkarni:
Sparse Regression and Adaptive Feature Generation for the Discovery of Dynamical Systems. - Edouard Pineau, Nathan de Lara:
Graph Classification with Recurrent Variational Neural Networks. - Greg Heinrich, Iuri Frosio:
Metaoptimization on a Distributed System for Deep Reinforcement Learning. - Tycho F. A. van der Ouderaa, Daniel E. Worrall:
Reversible GANs for Memory-efficient Image-to-Image Translation. - Nicolas T. Courtois, Marios Georgiou:
Constructive Non-Linear Polynomial Cryptanalysis of a Historical Block Cipher. - Alexandre Kaspar, Tae-Hyun Oh, Liane Makatura, Petr Kellnhofer, Jacqueline Aslarus, Wojciech Matusik:
Neural Inverse Knitting: From Images to Manufacturing Instructions. - Nikolaj Tatti:
Significance of Episodes Based on Minimal Windows. - M. Hanefi Calp, M. Ali Akcayol:
The importance of human computer interaction in the development process of software projects. - Calvin Newport, Alex Weaver:
Random Gossip Processes in Smartphone Peer-to-Peer Networks. - Luca Luceri, Ashok Deb, Adam Badawy, Emilio Ferrara:
Red Bots Do It Better: Comparative Analysis of Social Bot Partisan Behavior. - Eric T. Nalisnick, Akihiro Matsukawa, Yee Whye Teh, Dilan Görür, Balaji Lakshminarayanan:
Hybrid Models with Deep and Invertible Features. - S. H. Shabbeer Basha, Shiv Ram Dubey, Viswanath Pulabaigari, Snehasis Mukherjee:
Impact of Fully Connected Layers on Performance of Convolutional Neural Networks for Image Classification. - Jianglin Fu, Saeed Ranjbar Alvar, Ivan V. Bajic, Rodney G. Vaughan:
FDDB-360: Face Detection in 360-degree Fisheye Images. - Nischal Agrawal, Prasanna Chaporkar:
KLUCB Approach to Copeland Bandits. - Limor Gultchin, Genevieve Patterson, Nancy Baym, Nathaniel Swinger, Adam Tauman Kalai:
Humor in Word Embeddings: Cockamamie Gobbledegook for Nincompoops. - Yuhong Li, Xiaofan Zhang:
SiamVGG: Visual Tracking using Deeper Siamese Networks. - Lars Doyle, Forest Anderson, Ehren Choy, David Mould:
Automated pebble mosaic stylization of images. - Sindhu Ghanta, Sriram Subramanian, Lior Khermosh, Swaminathan Sundararaman, Harshil Shah, Yakov Goldberg, Drew S. Roselli, Nisha Talagala:
ML Health: Fitness Tracking for Production Models. - Charith Mendis, Ajay Jain, Paras Jain, Saman P. Amarasinghe:
Revec: Program Rejuvenation through Revectorization. - Joni Pajarinen, Hong Linh Thai, Riad Akrour, Jan Peters, Gerhard Neumann:
Compatible Natural Gradient Policy Search. - Thiyagarajan Ramanathan, Abinaya Manimaran, Suya You, C.-C. Jay Kuo:
Robustness Of Saak Transform Against Adversarial Attacks. - Daniel Bruder, Brent Gillespie, C. David Remy, Ram Vasudevan:
Modeling and Control of Soft Robots Using the Koopman Operator and Model Predictive Control. - Jennifer Vandoni, Emanuel Aldea, Sylvie Le Hégarat-Mascle:
Evaluating Crowd Density Estimators via Their Uncertainty Bounds. - Nikolaj Tatti, Jilles Vreeken:
The Long and the Short of It: Summarising Event Sequences with Serial Episodes. - Kaustav Basu, Chenyang Zhou, Arunabha Sen, Victoria Horan Goliber:
A Novel Graph Analytic Approach to Monitor Terrorist Networks. - Adrian Colaso, Pablo Prieto, Jose Angel Herrero, Pablo Abad Fidalgo, Valentin Puente, José-Ángel Gregorio:
Accuracy vs. Computational Cost Tradeoff in Distributed Computer System Simulation. - Steven Schwarcz, Thomas Pollard:
3D Human Pose Estimation from Deep Multi-View 2D Pose. - Jomara Bindá, Jessica Kropczynski, John M. Carroll:
Community Animation: Exploring a design space that leverages geosocial networking to increase community engagement. - Rodrigo Bresan, Allan da Silva Pinto, Anderson Rocha, Carlos Beluzo, Tiago J. Carvalho:
FaceSpoof Buster: a Presentation Attack Detector Based on Intrinsic Image Properties and Deep Learning. - Jernej Hribar, Andrei Marinescu, George A. Ropokis, Luiz A. DaSilva:
Using Deep Q-learning To Prolong the Lifetime of Correlated Internet of Things Devices. - Sean Vaskov, Shreyas Kousik, Hannah Larson, Fan Bu, James R. Ward, Stewart Worrall, Matthew Johnson-Roberson, Ram Vasudevan:
Towards Provably Not-at-Fault Control of Autonomous Robots in Arbitrary Dynamic Environments. - Saeed Khaki, Lizhi Wang:
Crop Yield Prediction Using Deep Neural Networks. - Nikolaj Tatti, Jilles Vreeken:
Discovering Descriptive Tile Trees by Mining Optimal Geometric Subtiles. - Matteo Varvello, Jeremy Blackburn, David Naylor, Konstantina Papagiannaki:
EYEORG: A Platform For Crowdsourcing Web Quality Of Experience Measurements. - René B. Sørensen, Nasrin Razmi, Jimmy Jessen Nielsen, Petar Popovski:
Analysis of LoRaWAN Uplink with Multiple Demodulating Paths and Capture Effect. - Lorenzo Mauro, Francesco Puja, Simone Grazioso, Valsamis Ntouskos, Marta Sanzari, Edoardo Alati, Fiora Pirri:
Visual search and recognition for robot task execution and monitoring. - Lorenzo Mauro, Edoardo Alati, Marta Sanzari, Valsamis Ntouskos, Gianluca Massimiani, Fiora Pirri:
Deep execution monitor for robot assistive tasks. - Phan-Minh Nguyen:
Mean Field Limit of the Learning Dynamics of Multilayer Neural Networks. - Pierre H. Richemond, Yike Guo:
Combining learning rate decay and weight decay with complexity gradient descent - Part I. - Lavinia Egidi, Felipe A. Louza, Giovanni Manzini:
Space-efficient merging of succinct de Bruijn graphs. - Leighton Pate Barnes, Yanjun Han, Ayfer Özgür:
Learning Distributions from their Samples under Communication Constraints. - Silviu Pitis:
Rethinking the Discount Factor in Reinforcement Learning: A Decision Theoretic Approach. - Zhitao Guan, Zefang Lv, Xiaojiang Du, Longfei Wu, Mohsen Guizani:
Achieving Data Utility-Privacy Tradeoff in Internet of Medical Things: A Machine Learning Approach. - Rundong Jia, Xiaoming Chen, Caijun Zhong, Derrick Wing Kwan Ng, Hai Lin, Zhaoyang Zhang:
Design of Non-Orthogonal Beamspace Multiple Access for Cellular Internet-of-Things. - Xilei Zhao, Xiang Yan, Pascal Van Hentenryck:
Modeling Heterogeneity in Mode-Switching Behavior Under a Mobility-on-Demand Transit System: An Interpretable Machine Learning Approach. - Faith-Anne L. Kocadag, Felix G. Hamza-Lup:
X3D in Urban Planning - Savannah in 3D. - Silviu Pitis:
Source Traces for Temporal Difference Learning. - Ebrahim M. Songhori, M. Sadegh Riazi, Siam U. Hussain, Ahmad-Reza Sadeghi, Farinaz Koushanfar:
ARM2GC: Succinct Garbled Processor for Secure Computation. - Ting-Wu Chin, Ruizhou Ding, Diana Marculescu:
AdaScale: Towards Real-time Video Object Detection Using Adaptive Scaling. - Jeremy Cohen, Elan Rosenfeld, J. Zico Kolter:
Certified Adversarial Robustness via Randomized Smoothing. - Maneet Singh, Richa Singh, Arun Ross:
A Comprehensive Overview of Biometric Fusion. - Nikolaj Tatti:
Are your Items in Order? - Nasim Nematzadeh, David M. W. Powers, Trent W. Lewis:
Informing Computer Vision with Optical Illusions. - Weiqiang Li, Guizhong Liu:
A Single-shot Object Detector with Feature Aggragation and Enhancement. - Philipp Walk, Peter Jung, Babak Hassibi, Hamid Jafarkhani:
MOCZ for Blind Short-Packet Communication: Some Practical Aspects. - Divam Gupta, Kushagra Singh, Soumen Chakrabarti, Tanmoy Chakraborty:
Multi-task Learning for Target-dependent Sentiment Classification. - Na Lei, Yang Guo, Dongsheng An, Xin Qi, Zhongxuan Luo, Shing-Tung Yau, Xianfeng Gu:
Mode Collapse and Regularity of Optimal Transportation Maps. - Nicholas Guttenberg:
Generating the support with extreme value losses. - Danilo Vasconcellos Vargas, Jiawei Su:
Understanding the One-Pixel Attack: Propagation Maps and Locality Analysis. - Shivang Agarwal, C. Ravindranath Chowdary, Shripriya Maheshwari:
EILearn: Learning Incrementally Using Previous Knowledge Obtained From an Ensemble of Classifiers. - Andrew Lensen, Bing Xue, Mengjie Zhang:
Can Genetic Programming Do Manifold Learning Too? - Sungyong Seo, Yan Liu:
Differentiable Physics-informed Graph Networks. - Vinay Praneeth Boda, Prashanth L. A.:
Correlated bandits or: How to minimize mean-squared error online. - Masaki Ogura, Wenjie Mei, Kenji Sugimoto:
Synergistic Effects in Networked Epidemic Spreading Dynamics. - Carrie J. Cai, Emily Reif, Narayan Hegde, Jason D. Hipp, Been Kim, Daniel Smilkov, Martin Wattenberg, Fernanda B. Viégas, Gregory S. Corrado, Martin C. Stumpe, Michael Terry:
Human-Centered Tools for Coping with Imperfect Algorithms during Medical Decision-Making. - Pascal Giorgi, Bruno Grenet, Daniel S. Roche:
Generic reductions for in-place polynomial multiplication. - Koki Kishimoto, Katsuhiko Hayashi, Genki Akai, Masashi Shimbo, Kazunori Komatani:
Binarized Knowledge Graph Embeddings. - Niki Kilbertus, Manuel Gomez-Rodriguez, Bernhard Schölkopf, Krikamol Muandet, Isabel Valera:
Improving Consequential Decision Making under Imperfect Predictions. - Willy Yvart, Charles-Alexandre Delestage, Sylvie Leleu-Merviel:
SYM: Toward a New Tool in User's Mood Determination. - Yann Argotti, Claude Baron, Phillipe Esteban:
Quality quantification in Systems Engineering from the Qualimetry Eye. - Messaouda Ahmane, Isma Bouchemakh, Éric Sopena:
On the Broadcast Independence Number of Locally Uniform 2-Lobsters. - Guillaume Guex, Sylvain Courtain, Marco Saerens:
Covariance and Correlation Kernels on a Graph in the Generalized Bag-of-Paths Formalism. - Abylay Zhumekenov, Malika Uteuliyeva, Olzhas Kabdolov, Rustem Takhanov, Zhenisbek Assylbekov, Alejandro J. Castro:
Fourier Neural Networks: A Comparative Study. - Étienne André, Vincent Bloemen, Laure Petrucci, Jaco van de Pol:
Minimal-Time Synthesis for Parametric Timed Automata. - Dominique Barth, Maël Guiraud, Yann Strozecki:
Deterministic contention management for low latency Cloud RAN over an optical ring. - Kathrin Grosse, Thomas Alexander Trost, Marius Mosbach, Michael Backes, Dietrich Klakow:
Adversarial Initialization - when your network performs the way I want. - Wojciech Nawalaniec:
Classifying and analysis of random composites using structural sums feature vector. - Javier Esparza, Mikhail A. Raskin, Chana Weil-Kennedy:
Parameterized Analysis of Immediate Observation Petri Nets. - Yansong Gao, Yang Su, Wei Yang, Shiping Chen, Surya Nepal, Damith Chinthana Ranasinghe:
Building Secure SRAM PUF Key Generators on Resource Constrained Devices. - Wojciech Kotlowski, Gergely Neu:
Bandit Principal Component Analysis. - Gamal Sallam, Uthman Baroudi:
A Framework for Autonomous Robot Deployment with Perfect Demand Satisfaction using Virtual Forces. - Yang Su, Yansong Gao, Omid Kavehei, Damith Chinthana Ranasinghe:
Hash Functions and Benchmarks for Resource Constrained Passive Devices: A Preliminary Study. - Ross Harper, Joshua Southern:
A Bayesian Deep Learning Framework for End-To-End Prediction of Emotion from Heartbeat. - Lei Feng, Bo An:
Partial Label Learning with Self-Guided Retraining. - Ulysse Marteau-Ferey, Dmitrii Ostrovskii, Francis R. Bach, Alessandro Rudi:
Beyond Least-Squares: Fast Rates for Regularized Empirical Risk Minimization through Self-Concordance. - Lei Feng, Bo An, Shuo He:
Collaboration based Multi-Label Learning. - Zizhao Zhang, Adriana Romero, Matthew J. Muckley, Pascal Vincent, Lin Yang, Michal Drozdzal:
Reducing Uncertainty in Undersampled MRI Reconstruction with Active Acquisition. - William Havard, Jean-Pierre Chevrot, Laurent Besacier:
Models of Visually Grounded Speech Signal Pay Attention To Nouns: a Bilingual Experiment on English and Japanese. - S. Hamidreza Kasaei:
OrthographicNet: A Deep Learning Approach for 3D Object Recognition in Open-Ended Domains. - Amin Farajzadeh, Özgür Erçetin, Halim Yanikomeroglu:
UAV Data Collection over NOMA Backscatter Networks: UAV Altitude and Trajectory Optimization. - Wen-Hao Xu, Xi-Le Zhao, Michael Kwok-Po Ng:
A Fast Algorithm for Cosine Transform Based Tensor Singular Value Decomposition. - Rolf Hennicker, Alexandre Madeira, Alexander Knapp:
A Hybrid Dynamic Logic for Event/Data-based Systems. - Ankur Padia, Konstantinos Kalpakis, Francis Ferraro, Tim Finin:
Knowledge Graph Fact Prediction via Knowledge-Enriched Tensor Factorization. - Zehong Cao, Chin-Teng Lin:
Hierarchical Critics Assignment for Multi-agent Reinforcement Learning. - Sankalp Garg, Aniket Bajpai, Mausam:
Size Independent Neural Transfer for RDDL Planning. - Felix Kreuk, Yossi Adi, Bhiksha Raj, Rita Singh, Joseph Keshet:
Hide and Speak: Deep Neural Networks for Speech Steganography. - Jun Liu, Amir Shahroudy, Gang Wang, Ling-Yu Duan, Alex C. Kot:
Skeleton-Based Online Action Prediction Using Scale Selection Network. - Hasan Asy'ari Arief, Ulf Geir Indahl, Geir-Harald Strand, Håvard Tveite:
Addressing Overfitting on Pointcloud Classification using Atrous XCRF. - Sima Sharifirad, Borna Jafarpour, Stan Matwin:
How is Your Mood When Writing Sexist tweets? Detecting the Emotion Type and Intensity of Emotion Using Natural Language Processing Techniques. - Chaitanya Kaul, Suresh Manandhar, Nick E. Pears:
FocusNet: An attention-based Fully Convolutional Network for Medical Image Segmentation. - Lin Xie, Nils Thieme, Ruslan K. Krenzler, Hanyi Li:
Efficient order picking methods in robotic mobile fulfillment systems. - Laure Delisle, Alfredo Kalaitzis, Krzysztof Majewski, Archy de Berker, Milena Marin, Julien Cornebise:
A large-scale crowdsourced analysis of abuse against women journalists and politicians on Twitter. - Dimitri Bohlender, Maximilian A. Köhl:
Towards a Characterization of Explainable Systems. - Georgios Giasemidis, Nikolaos Kaplis, Ioannis Agrafiotis, Jason R. C. Nurse:
A semi-supervised approach to message stance classification. - (Withdrawn) Measuring Long-term Impact of Ads on LinkedIn Feed.
- Chuyang Ke, Jean Honorio:
Exact Recovery in the Latent Space Model. - Siegfried Cools, Jeffrey Cornelis, Wim Vanroose:
Numerically Stable Recurrence Relations for the Communication Hiding Pipelined Conjugate Gradient Method. - Marta Pasquetti, Giulia Michieletto, Shiyu Zhao, Daniel Zelazo, Angelo Cenedese:
A Unified Dissertation on Bearing Rigidity Theory. - Nikolaj Tatti, Michael Mampaey:
Using Background Knowledge to Rank Itemsets. - Mohamed Hamza Ibrahim, Rokia Missaoui, Abir Messaoudi:
Detecting Local Community Structures in Social Networks Using Concept Interestingness. - Mehrnoosh Mirtaheri, Sami Abu-El-Haija, Fred Morstatter, Greg Ver Steeg, Aram Galstyan:
Identifying and Analyzing Cryptocurrency Manipulations in Social Media. - Meysam Ghaffari, Ashok Srinivasan, Xiuwen Liu:
High-resolution home location prediction from tweets using deep learning with dynamic structure. - Erik Sollesnes, Ole Martin Brokstad, Rolf Klæboe, Bendik Vågen, Alfredo Raúl Carella, Alex Alcocer, Artur Piotr Zolich, Tor Arne Johansen:
Towards autonomous ocean observing systems using Miniature Underwater Gliders with UAV deployment and recovery capabilities. - Maryam Sultana, Soon Ki Jung:
Illumination Invariant Foreground Object Segmentation using ForeGANs. - Oindrila Saha, Rachana Sathish, Debdoot Sheet:
Fully Convolutional Neural Network for Semantic Segmentation of Anatomical Structure and Pathologies in Colour Fundus Images Associated with Diabetic Retinopathy. - Janu Verma, Srishti Gupta, Debdoot Mukherjee, Tanmoy Chakraborty:
Heterogeneous Edge Embeddings for Friend Recommendation. - Hossein Yazdani:
Bounded Fuzzy Possibilistic Method. - Alessio Meneghetti, Armanda Ottaviano Quintavalle, Massimiliano Sala, Alessandro Tomasi:
Two-tier blockchain timestamped notarization with incremental security. - Ethan C. Jackson, Mark Daley:
Novelty Search for Deep Reinforcement Learning Policy Network Weights by Action Sequence Edit Metric Distance. - Ralf Ramsauer, Daniel Lohmann, Wolfgang Mauerer:
The List is the Process: Reliable Pre-Integration Tracking of Commits on Mailing Lists. - Marc G. Bellemare, Nicolas Le Roux, Pablo Samuel Castro, Subhodeep Moitra:
Distributional reinforcement learning with linear function approximation. - Priyadarshini Panda, Indranil Chakraborty, Kaushik Roy:
Discretization based Solutions for Secure Machine Learning against Adversarial Attacks. - Salvatore Di Girolamo, Pirmin Schmid, Thomas C. Schulthess, Torsten Hoefler:
SimFS: A Simulation Data Virtualizing File System Interface. - Timo Nolle, Stefan Luettgen, Alexander Seeliger, Max Mühlhäuser:
BINet: Multi-perspective Business Process Anomaly Classification. - Zhaohui Yang, Cunhua Pan, Kezhi Wang, Mohammad Shikh-Bahaei:
Energy Efficient Resource Allocation in UAV-Enabled Mobile Edge Computing Networks. - Hesham K. Alfares, Abdulrahman Abu Elkhail, Uthman Baroudi:
Iterative Clustering for Energy-Efficient Large-Scale Tracking Systems. - Uthman Baroudi, Abdulrahman Abu Elkhail, Hesham K. Alfares:
Optimum Bi-level Hierarchical Clustering for Wireless Mobile Tracking Systems. - Rixin Xu, Qiang Zeng, Liehuang Zhu, Haotian Chi, Mohsen Guizani:
Privacy Leakage in Smart Homes and Its Mitigation: IFTTT as a Case Study. - Michinari Kono, Jun Rekimoto:
wavEMS: Improving Signal Variation Freedom of Electrical Muscle Stimulation. - Nicolas Anastassacos, Steve Hailes, Mirco Musolesi:
Understanding The Impact of Partner Choice on Cooperation and Social Norms by means of Multi-agent Reinforcement Learning. - Jason M. Allred, Kaushik Roy:
Stimulating STDP to Exploit Locality for Lifelong Learning without Catastrophic Forgetting. - Guangzhi Sun, Chao Zhang, Philip C. Woodland:
Speaker diarisation using 2D self-attentive combination of embeddings. - Panagiotis G. Mousouliotis, Loukas P. Petrou:
Software-Defined FPGA Accelerator Design for Mobile Deep Learning Applications. - Thirupathi Guggulothu:
Code Smell Detection using Multilabel Classification Approach. - Sanjana Srivastava, Guy Ben-Yosef, Xavier Boix:
Minimal Images in Deep Neural Networks: Fragile Object Recognition in Natural Images. - Johannes Kirschner, Mojmír Mutný, Nicole Hiller, Rasmus Ischebeck, Andreas Krause:
Adaptive and Safe Bayesian Optimization in High Dimensions via One-Dimensional Subspaces. - Onur Ozdemir, Rebecca L. Russell, Andrew A. Berlin:
A 3D Probabilistic Deep Learning System for Detection and Diagnosis of Lung Cancer Using Low-Dose CT Scans. - Cristina Kadar, Rudolf Maculan, Stefan Feuerriegel:
Public decision support for low population density areas: An imbalance-aware hyper-ensemble for spatio-temporal crime prediction. - Ben D. Sawyer, Sean Seaman, Linda Angell, Jonathan Dobres, Bruce Mehler, Bryan Reimer:
A Description of a Subtask Dataset with Glances. - Harjot Singh Parmar:
Land Use Classification Using Multi-neighborhood LBPs. - Brian Lubars, Chenhao Tan:
Ask Not What AI Can Do, But What AI Should Do: Towards a Framework of Task Delegability. - Mitchell Stern, William Chan, Jamie Kiros, Jakob Uszkoreit:
Insertion Transformer: Flexible Sequence Generation via Insertion Operations. - Alceu Bissoto, Fábio Perez, Eduardo Valle, Sandra Avila:
Skin Lesion Synthesis with Generative Adversarial Networks. - Michael Schwarz, Samuel Weiser, Daniel Gruss:
Practical Enclave Malware with Intel SGX. - Yingzhen Yang, Nebojsa Jojic, Jun Huan:
FSNet: Compression of Deep Convolutional Neural Networks by Filter Summary. - Arjun Seshadri, Alexander Peysakhovich, Johan Ugander:
Discovering Context Effects from Raw Choice Data. - Russell J. Bradford, Christopher J. Sangwin, Supreeth P. Shashikumar, Shamim Nemati:
Does the "Artificial Intelligence Clinician" learn optimal treatment strategies for sepsis in intensive care? - Ana Ozaki, Nicolas Troquard:
Learning Ontologies with Epistemic Reasoning: The EL Case. - Manuel Cáceres, Gonzalo Navarro:
Faster Repetition-Aware Compressed Suffix Trees based on Block Trees. - Xi Hang Cao, Xiaojiang Du, E. Paul Ratazzi:
A Light-Weight Authentication Scheme for Air Force Internet of Things. - Bruna D. Wundervald, Walmes M. Zeviani:
Machine learning and chord based feature engineering for genre prediction in popular Brazilian music. - Pedro D. Marrero-Fernández, Fidel A. Guerrero-Peña, Tsang Ing Ren, Alexandre Cunha:
FERAtt: Facial Expression Recognition with Attention Net. - Nikolaj Tatti:
Fast Sequence Segmentation using Log-Linear Models. - Angelo Di Iorio, Silvio Peroni, Francesco Poggi:
Open data to evaluate academic researchers: an experiment with the Italian Scientific Habilitation. - Florian Richter, Ryan K. Orosco, Michael C. Yip:
Motion Scaling Solutions for Improved Performance in High Delay Surgical Teleoperation. - Konstantinos N. Blazakis, Georgios S. Stavrakakis:
Efficient Power Theft Detection for Residential Consumers Using Mean Shift Data Mining Knowledge Discovery Process. - Nikolaj Tatti:
Probably the Best Itemsets. - Amir Tasbihi, Frank R. Kschischang:
Maximum Likelihood Detection in a Four-Dimensional Stokes-Space Receiver. - Hesam Nejati Sharif Aldin, Hossein Deldari, Mohammad Hossein Moattar, Mostafa Razavi Ghods:
Consistency models in distributed systems: A survey on definitions, disciplines, challenges and applications. - Andrea Apicella, Francesco Isgrò, Roberto Prevete:
A simple and efficient architecture for trainable activation functions. - M. A. Shchegoleva, Yu. A. Romanov, Evgenii V. Lezhnev, Aleksandr A. Amerikanov:
Routing in Networks on Chip with Multiplicative Circulant Topology. - Jiajia Li, Yuchen Ma, Xiaolong Wu, Ang Li, Kevin J. Barker:
PASTA: A Parallel Sparse Tensor Algorithm Benchmark Suite. - Benoit Landry, Zachary Manchester, Marco Pavone:
A Differentiable Augmented Lagrangian Method for Bilevel Nonlinear Optimization. - Ian Abraham, Ahalya Prabhakar, Todd D. Murphey:
Active Area Coverage from Equilibrium. - Stephen Bottos, Balakumar Balasingam:
An Approach to Track Reading Progression Using Eye-Gaze Fixation Points. - Anubhav Ashok:
Architecture Compression. - Nuthan Munaiah, Andrew Meneely:
Systematization of Vulnerability Discovery Knowledge: Review Protocol. - Tomas Hodan, Vibhav Vineet, Ran Gal, Emanuel Shalev, Jon Hanzelka, Treb Connell, Pedro Urbina, Sudipta N. Sinha, Brian Guenter:
Photorealistic Image Synthesis for Object Instance Detection. - Catalin Popescu, Deepak Merugu, Giao Nguyen, Shiva Shivakumar:
WarpFlow: Exploring Petabytes of Space-Time Data. - Mukul Gagrani, Yi Ouyang, Mohammad Rasouli, Ashutosh Nayyar:
Worst-case Guarantees for Remote Estimation of an Uncertain Source. - Mohammad Billah, Farzana Rahman, Arash Maskooki, Michael Todd, Matthew J. Barth, Jay A. Farrell:
Challenges in Partially-Automated Roadway Feature Mapping Using Mobile Laser Scanning and Vehicle Trajectory Data. - Eunbyung Park, Junier B. Oliva:
Meta-Curvature. - Houpu Yao, Malcolm Regan, Yezhou Yang, Yi Ren:
Image Decomposition and Classification through a Generative Model. - Yinghong Fang, Guangcun Shan, Xin Li, Wenliang Liu, Tian Wang, Hichem Snoussi:
HE-SLAM: a Stereo SLAM System Based on Histogram Equalization and ORB Features. - Shuqing Chen, Michelle Effros, Victoria Kostina:
Lossless Source Coding in the Point-to-Point, Multiple Access, and Random Access Scenarios. - Noel C. F. Codella, Veronica Rotemberg, Philipp Tschandl, M. Emre Celebi, Stephen W. Dusza, David A. Gutman, Brian Helba, Aadi Kalloo, Konstantinos Liopyris, Michael A. Marchetti, Harald Kittler, Allan Halpern:
Skin Lesion Analysis Toward Melanoma Detection 2018: A Challenge Hosted by the International Skin Imaging Collaboration (ISIC). - Yang Liu, Samitha Samaranayake:
Proactive rebalancing and speed-up techniques for on-demand high capacity vehicle pooling. - Weikuang Li, Tian Wang, Chuanyun Wang, Guangcun Shan, Mengyi Zhang, Hichem Snoussi:
Region based Ensemble Learning Network for Fine-grained Classification. - Chao-Han Huck Yang, Yi-Chieh Liu, Pin-Yu Chen, Xiaoli Ma, Yi-Chang James Tsai:
When Causal Intervention Meets Image Masking and Adversarial Perturbation for Deep Neural Networks. - Anas Saci, Arafat Al-Dweik, Abdallah Shami:
Direct Data Detection of OFDM Signals Over Wireless Channels. - Eric Jonas, Johann Schleier-Smith, Vikram Sreekanti, Chia-Che Tsai, Anurag Khandelwal, Qifan Pu, Vaishaal Shankar, João Carreira, Karl Krauth, Neeraja Jayant Yadwadkar, Joseph E. Gonzalez, Raluca Ada Popa, Ion Stoica, David A. Patterson:
Cloud Programming Simplified: A Berkeley View on Serverless Computing. - Hamzeh Khazaei, Cornel Barna, Marin Litoiu:
Performance Modeling of Microservice Platforms Considering the Dynamics of the underlying Cloud Infrastructure. - Hiroki Tamaru, Yuki Saito, Shinnosuke Takamichi, Tomoki Koriyama, Hiroshi Saruwatari:
Generative Moment Matching Network-based Random Modulation Post-filter for DNN-based Singing Voice Synthesis and Neural Double-tracking. - Masoud Fetanat, Sajad Haghzad Klidbary, Saeed Bagheri Shouraki:
Optimization of dynamic mobile robot path planning based on evolutionary methods. - Seyed-Iman Mirzadeh, Mehrdad Farajtabar, Ang Li, Hassan Ghasemzadeh:
Improved Knowledge Distillation via Teacher Assistant: Bridging the Gap Between Student and Teacher. - Mohsen Mansouri, Farzad Didehvar:
Approximation of subsets of natural numbers by c.e. sets. - Sunil Aryal, Kai Ming Ting, Takashi Washio, Gholamreza Haffari:
A new simple and effective measure for bag-of-word inter-document similarity measurement. - Miel Sharf, Daniel Zelazo:
Symmetry-Induced Clustering in Multi-Agent Systems using Network Optimization and Passivity. - D. Sreenivasulu, P. Venkata Krishna:
A Novel Channel Reservation Mechanism for Next Generation Cellular Networks. - G. D. Surabhi, Rose Mary Augustine, A. Chockalingam:
Multiple Access in the Delay-Doppler Domain using OTFS modulation. - Filipe Jorge, Ricardo J. Bessa, Marisa Reis, Rita Alves, Pedro Póvoa:
Data-driven Predictive Energy Optimization in a Wastewater Pumping Station. - Jörg Stork, Martin Zaefferer, Thomas Bartz-Beielstein:
Improving NeuroEvolution Efficiency by Surrogate Model-based Optimization with Phenotypic Distance Kernels. - Lingyue Zhang, Huilin Li, Yannan Li, Yanqi Zhao, Yong Yu:
An Efficient Linkable Group Signature for Payer Tracing in Anonymous Cryptocurrencies. - Srikrishnan Divakaran:
Fast Approximation Schemes for Bin Packing. - Mahdi Boloursaz Mashhadi, Saber Malekmohammadi, Farokh Marvasti:
Sparsity Promoting Reconstruction of Delta Modulated Voice Samples by Sequential Adaptive Thresholds. - Klaus Jansen, Malin Rau:
Linear Time Algorithms for Multiple Cluster Scheduling and Multiple Strip Packing. - Raphael Durner, Amir Varasteh, Max Stephan, Carmen Mas Machuca, Wolfgang Kellerer:
HNLB: Utilizing Hardware Matching Capabilities of NICs for Offloading Stateful Load Balancers. - Yinchuan Li, Le Zheng, Marco Lops, Xiaodong Wang:
Interference Removal for Radar/Communication Co-existence: the Random Scattering Case. - Toke Høiland-Jørgensen, Per Hurtig, Anna Brunström:
PoliFi: Airtime Policy Enforcement for WiFi. - Michal Uricár, Pavel Krízek, David Hurych, Ibrahim Sobh, Senthil Kumar Yogamani, Patrick Denny:
Yes, we GAN: Applying Adversarial Techniques for Autonomous Driving. - Yasin Yazici, Bruno Lecouat, Chuan-Sheng Foo, Stefan Winkler, Kim-Hui Yap, Georgios Piliouras, Vijay Chandrasekhar:
Venn GAN: Discovering Commonalities and Particularities of Multiple Distributions. - Adnane Boukhayma, Rodrigo Andrade de Bem, Philip H. S. Torr:
3D Hand Shape and Pose from Images in the Wild. - Mostafa Razavi Ghods, Mohammad Hossein Moattar, Yahya Forghani:
Distance metric learning based on structural neighborhoods for dimensionality reduction and classification performance improvement. - Sam Wenke, Jim Fleming:
Contextual Recurrent Neural Networks. - Marcin Kopaczka, Justus Schock, Dorit Merhof:
Super-realtime facial landmark detection and shape fitting by deep regression of shape model parameters. - José Enrique Solomon, François Charette:
Hierarchical Multi-task Deep Neural Network Architecture for End-to-End Driving. - Olivier Bousquet, Roi Livni, Shay Moran:
Passing Tests without Memorizing: Two Models for Fooling Discriminators. - Asra Aslam, Mohammad Samar Ansari:
Depth-Map Generation using Pixel Matching in Stereoscopic Pair of Images. - Rémy Degenne, Wouter M. Koolen:
Pure Exploration with Multiple Correct Answers. - Brenden M. Lake, Ruslan Salakhutdinov, Joshua B. Tenenbaum:
The Omniglot Challenge: A 3-Year Progress Report. - Mathew Halm, Michael Posa:
A Quasi-static Model and Simulation Approach for Pushing, Grasping, and Jamming. - Dongjin Lee, Rong Pan:
Evaluating reliability of complex systems for Predictive maintenance. - Yuval Dagan, Gil Kur, Ohad Shamir:
Space lower bounds for linear prediction. - Xinyi Wang, Hieu Pham, Philip Arthur, Graham Neubig:
Multilingual Neural Machine Translation With Soft Decoupled Encoding. - Sorelle A. Friedler, Chitradeep Dutta Roy, Carlos Scheidegger, Dylan Slack:
Assessing the Local Interpretability of Machine Learning Models. - Xuemei Chen, Victor Gonzales, Eric Goodman, Shujie Kang, Kasso A. Okoudjou:
Universal optimal configurations for the $p$-frame potentials. - Anibal Sanjab, Walid Saad, Tamer Basar:
A Game of Drones: Cyber-Physical Security of Time-Critical UAV Applications with Cumulative Prospect Theory Perceptions and Valuations. - Sauradip Nag, Ayan Kumar Bhunia, Aishik Konwer, Partha Pratim Roy:
Facial Micro-Expression Spotting and Recognition using Time Contrasted Feature with Visual Memory. - Karren D. Yang, Caroline Uhler:
Multi-Domain Translation by Learning Uncoupled Autoencoders. - Heide Gluesing-Luerssen:
Skew-Polynomial Rings and Skew-Cyclic Codes. - Arnaud Fickinger:
Biadversarial Variational Autoencoder. - Fan Yao, Guru Venkataramani:
Architecting Non-Volatile Main Memory to Guard Against Persistence-based Attacks. - Arturs Backurs, Piotr Indyk, Krzysztof Onak, Baruch Schieber, Ali Vakilian, Tal Wagner:
Scalable Fair Clustering. - Fábio Petrillo, Yann-Gaël Guéhéneuc, Marcelo Pimenta, Carla Maria Dal Sasso Freitas, Foutse Khomh:
Swarm Debugging: the Collective Intelligence on Interactive Debugging. - Dmitrii Avdiukhin, Sergey Pupyrev, Grigory Yaroslavtsev:
Multi-Dimensional Balanced Graph Partitioning via Projected Gradient Descent. - Stephen Balaban:
Deep learning and face recognition: the state of the art. - Zhenjie Zhao:
Engaging Audiences in Virtual Museums by Interactively Prompting Guiding Questions. - Zhenjie Zhao:
Live Emoji: Semantic Emotional Expressiveness of 2D Live Animation. - Jinchun Choi, Afsah Anwar, Hisham Alasmary, Jeffrey Spaulding, DaeHun Nyang, Aziz Mohaisen:
Analyzing Endpoints in the Internet of Things Malware. - Shuai Zhang, Wenxi Zeng, I-Ling Yen, Farokh B. Bastani:
Semantically Enhanced Time Series Databases in IoT-Edge-Cloud Infrastructure. - Piotr Indyk, Sepideh Mahabadi, Ronitt Rubinfeld, Ali Vakilian, Anak Yodpinyanee:
Set Cover in Sub-linear Time. - Zhiqiang Wei, Lei Yang, Derrick Wing Kwan Ng, Jinhong Yuan:
On the Performance Gain of NOMA over OMA in Uplink Single-cell Systems. - Shupeng Gui, Haotao Wang, Chen Yu, Haichuan Yang, Zhangyang Wang, Ji Liu:
Adversarially Trained Model Compression: When Robustness Meets Efficiency. - Pu Liu, Sidney S. Fels, Nicholas West, Matthias Görges:
Human Computer Interaction Design for Mobile Devices Based on a Smart Healthcare Architecture. - Alessandro Achille, Michael Lam, Rahul Tewari, Avinash Ravichandran, Subhransu Maji, Charless C. Fowlkes, Stefano Soatto, Pietro Perona:
Task2Vec: Task Embedding for Meta-Learning. - Ahmad Ghanbari, Mahdieh Babaiasl, Ako Veisinejad:
Design, Mechanical Simulation and Implementation of a New Six- Legged Robot. - Zeev Nutov:
Approximating $k$-connected $m$-dominating sets. - Moustapha Diaby, Mark H. Karwan, Lei Sun:
On modeling hard combinatorial optimization problems as linear programs: Refutations of the "unconditional impossibility" claims. - Tasmeen Zaman Ornee, Yin Sun:
Sampling for Remote Estimation through Queues: Age of Information and Beyond. - Massimo Equi, Roberto Grossi, Alexandru I. Tomescu, Veli Mäkinen:
On the Complexity of Exact Pattern Matching in Graphs: Determinism and Zig-Zag Matching. - Jingwei Liu, Ailian Ren, Lihuan Zhang, Rong Sun, Xiaojiang Du, Mohsen Guizani:
A Novel Secure Authentication Scheme for Heterogeneous Internet of Thing. - Ran He, Jie Cao, Lingxiao Song, Zhenan Sun, Tieniu Tan:
Cross-spectral Face Completion for NIR-VIS Heterogeneous Face Recognition. - Moses Ganardi, Artur Jez, Markus Lohrey:
Balancing Straight-Line Programs. - Deshraj Yadav, Rishabh Jain, Harsh Agrawal, Prithvijit Chattopadhyay, Taranjeet Singh, Akash Jain, Shivkaran Singh, Stefan Lee, Dhruv Batra:
EvalAI: Towards Better Evaluation Systems for AI Agents. - Ali Baba Dauda, Baba Saleh Ahmed, Abubakar Auwal Idris, Audu Mabu Mabu, Ilyas Ibrahim Iliyas:
UML Model for Compressed Message Exchange. - Alireza Sheikh, Alexandre Graell i Amat, Gianluigi Liva:
Binary Message Passing Decoding of Product-like Codes. - Pedro Lopes, João Sousa, Valter Balegas, Carla Ferreira, Sérgio Duarte, Annette Bieniusa, Rodrigo Rodrigues, Nuno M. Preguiça:
Antidote SQL: Relaxed When Possible, Strict When Necessary. - Huazhu Fu, Yanwu Xu, Stephen Lin, Damon Wing Kee Wong, Mani Baskaran, Meenakshi Mahesh, Tin Aung, Jiang Liu:
Angle-Closure Detection in Anterior Segment OCT based on Multi-Level Deep Network. - Stavros Gerakaris, Subramanian Ramamoorthy:
Learning Best Response Strategies for Agents in Ad Exchanges. - Ganesh Sistu, Isabelle Leang, Sumanth Chennupati, Stefan Milz, Senthil Kumar Yogamani, Samir A. Rawashdeh:
NeurAll: Towards a Unified Model for Visual Perception in Automated Driving. - Shuang Wu, Xiaoqiang Ren, Yiguang Hong, Ling Shi:
Max-Min Fair Sensor Scheduling: Game-theoretic Perspective and Algorithmic Solution. - Patrick Mannion:
Vulnerable road user detection: state-of-the-art and open challenges. - Paul Voigtlaender, Michael Krause, Aljosa Osep, Jonathon Luiten, Berin Balachandar Gnana Sekar, Andreas Geiger, Bastian Leibe:
MOTS: Multi-Object Tracking and Segmentation. - Ali Bou Nassif, Mohammad Azzeh, Ali Idri, Alain Abran:
Software Development Effort Estimation Using Regression Fuzzy Models. - Radin Hamidi Rad, Maryam Amir Haeri:
Hybrid Forest: A Concept Drift Aware Data Stream Mining Algorithm. - Erich Schubert, Arthur Zimek:
ELKI: A large open-source library for data analysis - ELKI Release 0.7.5 "Heidelberg". - Nils Gessert, Matthias Schlüter, Sarah Latus, Veronika Volgger, Christian Betz, Alexander Schlaefer:
Towards Automatic Lesion Classification in the Upper Aerodigestive Tract Using OCT and Deep Transfer Learning Methods. - Victoria Fernández Abrevaya, Adnane Boukhayma, Stefanie Wuhrer, Edmond Boyer:
A Generative 3D Facial Model by Adversarial Training. - Andrew Cohen, Xingye Qiao, Lei Yu, Elliot Way, Xiangrong Tong:
Diverse Exploration via Conjugate Policies for Policy Gradient Methods. - Sze-Teng Liong, Yee Siang Gan, John See, Huai-Qian Khor:
A Shallow Triple Stream Three-dimensional CNN (STSTNet) for Micro-expression Recognition System. - Muhammad Saad, Victor Cook, Lan N. Nguyen, My T. Thai, Aziz Mohaisen:
Exploring Spatial, Temporal, and Logical Attacks on the Bitcoin Network. - Elliott Zaresky-Williams:
An Algorithm for Approximating Continuous Functions on Compact Subsets with a Neural Network with one Hidden Layer. - Jason Zhang:
Machine Learning With Feature Selection Using Principal Component Analysis for Malware Detection: A Case Study. - Anton Mallasto, Jes Frellsen, Wouter Boomsma, Aasa Feragen:
(q, p)-Wasserstein GANs: Comparing Ground Metrics for Wasserstein GANs. - Guillem Cucurull, Perouz Taslakian, David Vázquez:
Context-Aware Visual Compatibility Prediction. - Sarankumar Balakrishnan, Shreya Gupta, Arupjyoti Bhuyan, Pu Wang, Dimitrios Koutsonikolas, Zhi Sun:
Physical Layer Identification based on Spatial-temporal Beam Features for Millimeter Wave Wireless Networks. - Orchi Hassan, Rafatul Faria, Kerem Yunus Camsari, Jonathan Z. Sun, Supriyo Datta:
Low Barrier Magnet Design for Efficient Binary Stochastic Neurons: Perpendicular vs In-plane. - Yanyao Shen, Sujay Sanghavi:
Iterative Least Trimmed Squares for Mixed Linear Regression. - Blesson Varghese, Philipp Leitner, Suprio Ray, Kyle Chard, Adam Barker, Yehia Elkhatib, Herry Herry, Cheol-Ho Hong, Jeremy Singer, Fung Po Tso, Eiko Yoneki, Mohamed Faten Zhani:
Cloud Futurology. - Andreas Merentitis, Kashif Rasul, Roland Vollgraf, Abdul-Saboor Sheikh, Urs Bergmann:
A Bandit Framework for Optimal Selection of Reinforcement Learning Agents. - Konstantinos Perifanos, Eirini Florou, Dionysis Goutsos:
Word embeddings for idiolect identification. - Eirini Florou, Konstantinos Perifanos, Dionysis Goutsos:
Neural embeddings for metaphor detection in a corpus of Greek texts. - Lakshmi Nair, Jonathan C. Balloch, Sonia Chernova:
Tool Macgyvering: Tool Construction Using Geometric Reasoning. - L. Thorne McCarty:
Differential Similarity in Higher Dimensional Spaces: Theory and Applications. - Mehrdad Valizadeh, Amin Gohari:
Playing Games with Bounded Entropy: Convergence Rate and Approximate Equilibria. - Ryutaro Tanno, Ardavan Saeedi, Swami Sankaranarayanan, Daniel C. Alexander, Nathan Silberman:
Learning From Noisy Labels By Regularized Estimation Of Annotator Confusion. - Caidan Zhao, Mingxian Shi, Minmin Huang, Xiaojiang Du:
Authentication Scheme Based on Hashchain for Space-Air-Ground Integrated Network. - Kristen W. Carlson:
Safe Artificial General Intelligence via Distributed Ledger Technology. - Stefan Dobrev, Lata Narayanan, Jaroslav Opatrny, Denis Pankratov:
Exploration of High-Dimensional Grids by Finite State Machines. - Aleksei Fedorov, Haibo Zhang, Galina Sidorenko, Bo Yang:
Full Downlink Channel Reconstruction using Incomplete Uplink Channel Measurements in Massive MIMO networks. - Peng Peng, Lei Zou, Runyu Guan:
Accelerating Partial Evaluation in Distributed SPARQL Query Evaluation. - Katie Kang, Suneel Belkhale, Gregory Kahn, Pieter Abbeel, Sergey Levine:
Generalization through Simulation: Integrating Simulated and Real Data into Deep Reinforcement Learning for Vision-Based Autonomous Flight. - Bingkai Lin:
A Simple Gap-producing Reduction for the Parameterized Set Cover Problem. - Ni Ding, Parastoo Sadeghi, David B. Smith, Thierry Rakotoarivelo:
Attaining Fairness in Communication for Omniscience. - Yannan Li, Willy Susilo, Guomin Yang, Yong Yu, Dongxi Liu, Mohsen Guizani:
A Blockchain-based Self-tallying Voting Scheme in Decentralized IoT. - Yanqi Zhao, Yiming Liu, Yong Yu, Yannan Li:
Blockchain based Privacy-Preserving Software Updates with Proof-of-Delivery for Internet of Things. - Achal Dave, Pavel Tokmakov, Deva Ramanan:
Towards Segmenting Everything That Moves. - Qingyu Zhao, Nicolas Honnorat, Ehsan Adeli, Kilian M. Pohl:
Variational Autoencoder with Truncated Mixture of Gaussians for Functional Connectivity Analysis. - Bingxin Zhou, Junbin Gao, Minh-Ngoc Tran, Richard Gerlach:
Manifold Optimisation Assisted Gaussian Variational Approximation. - Kaige Yang, Xiaowen Dong, Laura Toni:
Error Analysis on Graph Laplacian Regularized Estimator. - Vibert Thio, Hao-Min Liu, Yin-Cheng Yeh, Yi-Hsuan Yang:
A Minimal Template for Interactive Web-based Demonstrations of Musical Machine Learning. - Mark A. Iwen, Eric Lybrand, Aaron A. Nelson, Rayan Saab:
New Algorithms and Improved Guarantees for One-Bit Compressed Sensing on Manifolds. - Rafael Muñoz-Salinas, Rafael Medina Carnicer:
UcoSLAM: Simultaneous Localization and Mapping by Fusion of KeyPoints and Squared Planar Markers. - Jon M. Kleinberg, Jens Ludwig, Sendhil Mullainathan, Cass R. Sunstein:
Discrimination in the Age of Algorithms. - Yue-he Zhu, Yazhong Luo:
Fast Evaluation of Low-Thrust Transfers via Deep Neural Networks. - Bin Liu:
Harnessing Low-Fidelity Data to Accelerate Bayesian Optimization via Posterior Regularization. - Álvaro Parra Bustos, Tat-Jun Chin, Anders P. Eriksson, Ian D. Reid:
Visual SLAM: Why Bundle Adjust? - Junwei Liang, Lu Jiang, Juan Carlos Niebles, Alexander G. Hauptmann, Li Fei-Fei:
Peeking into the Future: Predicting Future Person Activities and Locations in Videos. - Ramprasaath R. Selvaraju, Stefan Lee, Yilin Shen, Hongxia Jin, Dhruv Batra, Devi Parikh:
Taking a HINT: Leveraging Explanations to Make Vision and Language Models More Grounded. - Mohammed Amer, Tomás Maul:
Path Capsule Networks. - Qadeer Khan, Torsten Schön, Patrick Wenzel:
Latent Space Reinforcement Learning for Steering Angle Prediction. - Philippe Balbiani, Çigdem Gencer:
About the unification type of simple symmetric modal logics. - Xin Jin, Yuhui Wang, Xiaoyang Tan:
Pornographic Image Recognition via Weighted Multiple Instance Learning. - Sheng Zhou, Guangchao Wang, Shan Zhang, Zhisheng Niu, Xuemin Shen:
Bi-Directional Mission Offloading for Agile Space-Air-Ground Integrated Networks. - Mari Kobayashi, Hassan Hamad, Gerhard Kramer, Giuseppe Caire:
Joint State Sensing and Communication over Memoryless Multiple Access Channels. - Wolfgang Ahrendt, Cyrille Artho, Christian Colombo, Yliès Falcone, Srdan Krstic, Martin Leucker, Florian Lorber, João M. Lourenço, Leonardo Mariani, César Sánchez, Gerardo Schneider, Volker Stolz:
COST Action IC 1402 ArVI: Runtime Verification Beyond Monitoring - Activity Report of Working Group 1. - Qadeer Khan, Torsten Schön, Patrick Wenzel:
Semantic Label Reduction Techniques for Autonomous Driving. - Matteo Castiglioni, Diodato Ferraioli, Giulia Landriani, Nicola Gatti:
Election Manipulation on Social Networks with Messages on Multiple Candidates. - Jianxin Lin, Sen Liu, Yingce Xia, Shuxin Zhao, Tao Qin, Zhibo Chen:
Unpaired Image-to-Image Translation with Domain Supervision. - David Froelicher, Juan Ramón Troncoso-Pastoriza, João Sá Sousa, Jean-Pierre Hubaux:
Drynx: Decentralized, Secure, Verifiable System for Statistical Queries and Machine Learning on Distributed Datasets. - Suryansh Kumar, Ram Srivatsav Ghorakavi, Yuchao Dai, Hongdong Li:
A Motion Free Approach to Dense Depth Estimation in Complex Dynamic Scene. - Xiao Dong, Ling Zhou:
Understanding over-parameterized deep networks by geometrization. - Ken R. Duffy, Muriel Médard:
Guessing random additive noise decoding with soft detection symbol reliability information (SGRAND). - Claudio Ferrari, Stefano Berretti, Alberto Del Bimbo:
Additional Baseline Metrics for the paper "Extended YouTube Faces: a Dataset for Heterogeneous Open-Set Face Identification". - Chandramouli K, Raghuram Bharadwaj Diddigi, Prabuchandran K. J., Shalabh Bhatnagar:
An Online Sample Based Method for Mode Estimation using ODE Analysis of Stochastic Approximation Algorithms. - Grigorios Kalliatakis, Shoaib Ehsan, Maria Fasli, Klaus D. McDonald-Maier:
GET-AID: Visual Recognition of Human Rights Abuses via Global Emotional Traits. - (Withdrawn) Fixed-Parameter Tractable Algorithms for Corridor Guarding Problems.
- Vivek Kumar, Brojo Kishore Mishra, Manuel Mazzara, Dang N. H. Thanh, Abhishek Verma:
Prediction of Malignant & Benign Breast Cancer: A Data Mining Approach in Healthcare Applications. - Francesco Bullo, Fabio Fagnani, Barbara Franci:
Finite-time influence systems and the Wisdom of Crowd effect. - Saurabh Saini, P. J. Narayanan:
Semantic Hierarchical Priors for Intrinsic Image Decomposition. - Gaël Beck, Tarn Duong, Mustapha Lebbah, Hanane Azzag, Christophe Cérin:
A Distributed and Approximated Nearest Neighbors Algorithm for an Efficient Large Scale Mean Shift Clustering. - Ramon Giostri Campos, Evandro Ottoni Teatini Salles:
Robust statistics and no-reference image quality assessment in Curvelet domain. - Mohammed Alasmar, George Parisis, Richard G. Clegg, Nickolay Zakhleniuk:
On the Distribution of Traffic Volumes in the Internet and its Implications. - Abbas Siddiqui, Dionysios Georgiadis:
Global Collaboration through Local Interaction in Competitive Learning. - Anton Kolonin, Ben Goertzel, Cassio Pennachin, Deborah Duong, Marco Argentieri, Nejc Znidar:
A Reputation System for Marketplaces - Viability Assessment. - Helmut Seidl, Raphaela Palenta, Sebastian Maneth:
Deciding Equivalence of Separated Non-Nested Attribute Systems in Polynomial Time. - Yashar Kiarashinejad, Sajjad AbdollahRamezani, Ali Adibi:
Deep learning approach based on dimensionality reduction for designing electromagnetic nanostructures. - Martin Westerkamp:
Verifiable Smart Contract Portability. - Ruiqi Gao, Jianwen Xie, Song-Chun Zhu, Ying Nian Wu:
Learning Vector Representation of Content and Matrix Representation of Change: Towards a Representational Model of V1. - Jo Schlemper, Jose Caballero, Andy Aitken, Joost R. van Amersfoort:
Deep Hashing using Entropy Regularised Product Quantisation Network. - Ralph Gasser, Luca Rossetto, Heiko Schuldt:
Towards an All-Purpose Content-Based Multimedia Information Retrieval System. - Alberto Leporati, Luca Manzoni, Giancarlo Mauri, Antonio E. Porreca, Claudio Zandron:
Solving QSAT in sublinear depth. - Federico Aschieri, Agata Ciabattoni, Francesco A. Genco:
A typed parallel $λ$-calculus for graph-based communication. - Alberto Leporati, Luca Manzoni, Giancarlo Mauri, Antonio E. Porreca, Claudio Zandron:
A Turing machine simulation by P systems without charges. - Lingyun Jiang, Xiaofu Niu, Jia Xu, Dejun Yang, Lijie Xu:
Incentivizing the Workers for Truth Discovery in Crowdsourcing with Copiers. - Guy Goren, Alexander Spiegelman:
Mind the Mining. - Xueyan Liu, Zhitao Guan, Longfei Wu, Zain Ul Abedin, Mohsen Guizani:
Achieving Secure and Efficient Cloud Search Services: Cross-Lingual Multi-Keyword Rank Search over Encrypted Cloud Data. - Rania Morsi:
Investigations on Increased Data rate Differential Space-Time Block Codes for Single Carrier Wireless Systems. - Ruohan Cao, Tan F. Wong, Hui Gao, Dongqing Wang, Yueming Lu:
Blind Channel Separation in Massive MIMO System under Pilot Spoofing and Jamming Attack. - Changhao Chenli, Boyang Li, Yiyu Shi, Taeho Jung:
Energy-recycling Blockchain with Proof-of-Deep-Learning. - Sami Mokaddem, Gérard Wagener, Alexandre Dulaunoy, Andras Iklody:
Taxonomy driven indicator scoring in MISP threat intelligence platforms. - Shangyu Xie, Han Wang, Shengbin Wang, Haibing Lu, Yuan Hong, Dong Jin, Qi Liu:
Homogeneous and Mixed Energy Communities Discovery with Spatial-Temporal Net Energy. - Tao Zhang, Linan Huang, Jeffrey Pawlick, Quanyan Zhu:
Game-Theoretic Analysis of Cyber Deception: Evidence-Based Strategies and Dynamic Risk Mitigation. - Simon Leglaive, Umut Simsekli, Antoine Liutkus, Laurent Girin, Radu Horaud:
Speech enhancement with variational autoencoders and alpha-stable distributions. - Michael Saint-Guillain, Christine Solnon, Yves Deville:
Progressive Focus Search for the Static and Stochastic VRPTW with both Random Customers and Reveal Times. - Ruqi Zhang, Chunyuan Li, Jianyi Zhang, Changyou Chen, Andrew Gordon Wilson:
Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning. - Aliakbar Akbaritabar, Stephan Stahlschmidt:
Merits and Limits: Applying open data to monitor open access publications in bibliometric databases. - Sanghyeon Na, Seungjoo Yoo, Jaegul Choo:
MISO: Mutual Information Loss with Stochastic Style Representations for Multimodal Image-to-Image Translation. - Jip Kim, Yury Dvorkin:
Peer-to-Peer Energy Trading in Distribution Systems. - Rebecca Wild, Matthew Hubbell, Jeremy Kepner:
Scaling Big Data Platform for Big Data Pipeline. - Maria Girardi, Cristina Padovani, Daniele Pellegrini, Leonardo Robol:
A model updating procedure to enhance structural analysis in the FE code NOSA-ITACA. - Guillaume O. Berger, Pierre-Antoine Absil, Lieven De Lathauwer, Raphaël M. Jungers, Marc Van Barel:
Equivalent Polyadic Decompositions of Matrix Multiplication Tensors. - Zhaoming Kong, Xiaowei Yang:
Color Image and Multispectral Image Denoising Using Block Diagonal Representation. - Hisham Alasmary, Aminollah Khormali, Afsah Anwar, Jeman Park, Jinchun Choi, DaeHun Nyang, Aziz Mohaisen:
Analyzing, Comparing, and Detecting Emerging Malware: A Graph-based Approach. - Blaz Skrlj, Jan Kralj, Janez Konc, Marko Robnik-Sikonja, Nada Lavrac:
Deep Node Ranking: an Algorithm for Structural Network Embedding and End-to-End Classification. - Junlin Wang, Xiao Li, Tzu-Hao Huang, Shuangyue Yu, Yanjun Li, Tianyao Chen, Alessandra Carriero, Mooyeon Oh-Park, Hao Su:
Comfort-Centered Design of a Lightweight and Backdrivable Knee Exoskeleton. - Olivia Choudhury, Noor Fairoza, Issa Sylla, Amar Das:
A Blockchain Framework for Managing and Monitoring Data in Multi-Site Clinical Trials. - Fabrício Olivetti de França, Guilherme Seidyo Imai Aldeia:
Interaction-Transformation Evolutionary Algorithm for Symbolic Regression. - Hoang Thanh-Tung, Truyen Tran, Svetha Venkatesh:
Improving Generalization and Stability of Generative Adversarial Networks. - Marcus Pereira, Ziyi Wang, Ioannis Exarchos, Evangelos A. Theodorou:
Neural Network Architectures for Stochastic Control using the Nonlinear Feynman-Kac Lemma. - Xiangyu Zhao, Long Xia, Yihong Zhao, Dawei Yin, Jiliang Tang:
Model-Based Reinforcement Learning for Whole-Chain Recommendations. - Frederik Benzing, Marcelo Matheus Gauy, Asier Mujika, Anders Martinsson, Angelika Steger:
Optimal Kronecker-Sum Approximation of Real Time Recurrent Learning. - Zhihong Tian, Shen Su, Xiang Yu, Yuhang Wang, Hongli Zhang, Xiaojiang Du, Mohsen Guizani:
Vcash: A Novel Reputation Framework for Identifying Denial of Traffic Service in Internet of Connected Vehicles. - Fabio Sigrist:
KTBoost: Combined Kernel and Tree Boosting. - Basava Raju Akula, Julien Vignollet, Vladislav A. Yastrebov:
MorteX method for contact along real and embedded surfaces: coupling X-FEM with the Mortar method. - George Giakkoupis, Philipp Woelfel:
Efficient Randomized Test-And-Set Implementations. - Basava Raju Akula, Julien Vignollet, Vladislav A. Yastrebov:
Stabilized MorteX method for mesh tying along embedded interfaces. - Sourav Dutta, Dibbendu Roy, Goutam Das:
A 1-approximation algorithm for energy-efficient TDM-PON guaranteeing SLA of up-stream and down-stream traffic. - Zhihong Tian, Yanbin Sun, Shen Su, Mohan Li, Xiaojiang Du, Mohsen Guizani:
Automated Attack and Defense Framework for 5G Security on Physical and Logical Layers. - Dogan Ulus, Calin Belta:
Reactive Control Meets Runtime Verification: A Case Study of Navigation. - Ziyi Zhao, Chen Luo, Jin Zhao, Qinru Qiu, Mustafa Cenk Gursoy, Carlos Caicedo, Franco Basti:
A Simulation Framework for Fast Design Space Exploration of Unmanned Air System Traffic Management Policies. - Michael Goebel, Arjuna Flenner, Lakshmanan Nataraj, B. S. Manjunath:
Deep Learning Methods for Event Verification and Image Repurposing Detection. - Youngkyoon Jang, Hatice Gunes, Ioannis Patras:
Registration-free Face-SSD: Single shot analysis of smiles, facial attributes, and affect in the wild. - Mikayel Samvelyan, Tabish Rashid, Christian Schröder de Witt, Gregory Farquhar, Nantas Nardelli, Tim G. J. Rudner, Chia-Man Hung, Philip H. S. Torr, Jakob N. Foerster, Shimon Whiteson:
The StarCraft Multi-Agent Challenge. - Mikkel Abrahamsen, Panos Giannopoulos, Maarten Löffler, Günter Rote:
Geometric Multicut. - Robert L. Peach, Sophia N. Yaliraki, David Lefevre, Mauricio Barahona:
Data-driven unsupervised clustering of online learner behaviour. - Nabil Ibtehaz, M. Sohel Rahman:
MultiResUNet : Rethinking the U-Net Architecture for Multimodal Biomedical Image Segmentation. - Hyungtae Lee, Sungmin Eum, Heesung Kwon:
S-DOD-CNN: Doubly Injecting Spatially-Preserved Object Information for Event Recognition. - Saúl A. Blanco, Charles Buehrle, Akshay Patidar:
On the number of pancake stacks requiring 4 flips to be sorted. - Ashudeep Singh, Thorsten Joachims:
Policy Learning for Fairness in Ranking. - Di Chen, Kathryn T. Stolee, Tim Menzies:
Replication Can Improve Prior Results: A GitHub Study of Pull Request Acceptance. - Luan Viet Nguyen, Gautam Mohan, James Weimer, Oleg Sokolsky, Insup Lee, Rajeev Alur:
REAFFIRM: Model-Based Repair of Hybrid Systems for Improving Resiliency. - Abubakr O. Al-Abbasi, Vaneet Aggarwal, Moo-Ryong Ra:
Multi-tier Caching Analysis in CDN-based Over-the-top Video Streaming Systems. - Andrés Marafioti, Nicki Holighaus, Nathanaël Perraudin, Piotr Majdak:
Adversarial Generation of Time-Frequency Features with application in audio synthesis. - Alex Wang, Kyunghyun Cho:
BERT has a Mouth, and It Must Speak: BERT as a Markov Random Field Language Model. - Balamurali Murugesan, Kaushik Sarveswaran, Sharath M. Shankaranarayana, Keerthi Ram, Mohanasankar Sivaprakasam:
Psi-Net: Shape and boundary aware joint multi-task deep network for medical image segmentation. - Zhi Zhang, Tong He, Hang Zhang, Zhongyue Zhang, Junyuan Xie, Mu Li:
Bag of Freebies for Training Object Detection Neural Networks. - Michael Hauser:
On Residual Networks Learning a Perturbation from Identity. - Ehsan Amid, Manfred K. Warmuth:
Divergence-Based Motivation for Online EM and Combining Hidden Variable Models. - Mohammed M. Alani:
Applications of Machine Learning in Cryptography: A Survey. - Yu Wang, Siddhartha Nalluri, Borzoo Bonakdarpour, Miroslav Pajic:
Statistical Model Checking for Probabilistic Hyperproperties. - Jaeyoung Lee, Aravind Balakrishnan, Ashish Gaurav, Krzysztof Czarnecki, Sean Sedwards:
WiseMove: A Framework for Safe Deep Reinforcement Learning for Autonomous Driving. - Evangelos Kipouridis, Kostas Tsichlas:
On the Convergence of Network Systems. - Maria Psaraki, Yannis Tzitzikas:
CPOI: A Compact Method to Archive Versioned RDF Triple-Sets. - Alekh Karkada Ashok, Chandan G, Adithya Bhat, Kaustubh Karnataki, Ganesh Shankar:
Automatic Inspection of Utility Scale Solar Power Plants using Deep Learning. - Veeru Talreja, Fariborz Taherkhani, Matthew C. Valenti, Nasser M. Nasrabadi:
Using Deep Cross Modal Hashing and Error Correcting Codes for Improving the Efficiency of Attribute Guided Facial Image Retrieval. - RhongHo Jang, Seongkwang Moon, Youngtae Noh, Aziz Mohaisen, DaeHun Nyang:
Scaling Up Anomaly Detection Using In-DRAM Working Set of Active Flows Table. - Alex Santana dos Santos, Marcos Eduardo Valle:
Max-C and Min-D Projection Autoassociative Fuzzy Morphological Memories: Theory and Applications for Face Recognition. - Dehia Ait-Ferhat, Vincent Juliard, Gautier Stauffer, J. Andres Torres:
DSA-aware multiple patterning for the manufacturing of vias: Connections to graph coloring problems, IP formulations, and numerical experiments. - Yi-Chieh Liu, Hao-Hsiang Yang, Chao-Han Huck Yang, Jia-Hong Huang, Meng Tian, Hiromasa Morikawa, Yichang James Tsai, Jesper Tegnér:
Synthesizing New Retinal Symptom Images by Multiple Generative Models. - Veeru Talreja, Sobhan Soleymani, Matthew C. Valenti, Nasser M. Nasrabadi:
Learning to Authenticate with Deep Multibiometric Hashing and Neural Network Decoding. - Rony Gelman:
Evaluation of Transfer Learning for Classification of: (1) Diabetic Retinopathy by Digital Fundus Photography and (2) Diabetic Macular Edema, Choroidal Neovascularization and Drusen by Optical Coherence Tomography. - Gopalakrishnan Srinivasan, Kaushik Roy:
ReStoCNet: Residual Stochastic Binary Convolutional Spiking Neural Network for Memory-Efficient Neuromorphic Computing. - Qiang Sun, Evert Klaseboer, Boo Cheong Khoo, Derek Y. C. Chan:
A robust and non-singular formulation of the boundary integral method for the potential problem. - Li Li, Zhu Li, Shan Liu, Houqiang Li:
Occupancy-map-based rate distortion optimization for video-based point cloud compression. - Yifu Wu, Jin Wei, Rigoberto Roche':
Domain Constraint Approximation based Semi Supervision. - Nikki Lijing Kuang, Clement H. C. Leung, Vienne W. K. Sung:
Stochastic Reinforcement Learning. - Nikki Lijing Kuang, Clement H. C. Leung:
Performance Dynamics and Termination Errors in Reinforcement Learning: A Unifying Perspective. - Gaël Beck, Tarn Duong, Mustapha Lebbah, Hanane Azzag:
Nearest Neighbor Median Shift Clustering for Binary Data. - Hiroyuki Kasai, Bamdev Mishra:
Riemannian joint dimensionality reduction and dictionary learning on symmetric positive definite manifold. - Jianbo Chen, Michael I. Jordan:
LS-Tree: Model Interpretation When the Data Are Linguistic. - Rui Dusselaar, Manoranjan Paul:
A block-based inter-band predictor using multilayer propagation neural network for hyperspectral image compression. - Rohin Shah, Dmitrii Krasheninnikov, Jordan Alexander, Pieter Abbeel, Anca D. Dragan:
Preferences Implicit in the State of the World. - Yuezun Li, Siwei Lyu:
De-identification without losing faces. - Bukweon Kim, Sung Min Lee, Jin Keun Seo:
Improving learnability of neural networks: adding supplementary axes to disentangle data representation. - Mustansar Fiaz, Kamran Ali, Abdul Rehman, M. Junaid Gul, Soon Ki Jung:
Brain MRI Segmentation using Rule-Based Hybrid Approach. - Xuezhe Ma, Eduard H. Hovy:
MaCow: Masked Convolutional Generative Flow. - (Withdrawn) You Only Look & Listen Once: Towards Fast and Accurate Visual Grounding.
- Omar Montasser, Steve Hanneke, Nathan Srebro:
VC Classes are Adversarially Robustly Learnable, but Only Improperly. - Yuxiang Ren, Charu C. Aggarwal, Jiawei Zhang:
Meta Diagram based Active Social Networks Alignment. - Dae-Woong Jeong, Jaehun Kim, Youngseok Kim, Tae-Ho Kim, Myungsu Chae:
Effective Network Compression Using Simulation-Guided Iterative Pruning. - Zhiqiang Wei, Derrick Wing Kwan Ng, Jinhong Yuan:
Beamwidth Control for NOMA in Hybrid mmWave Communication Systems. - Majid Abdolshah, Alistair Shilton, Santu Rana, Sunil Gupta, Svetha Venkatesh:
Multi-objective Bayesian optimisation with preferences over objectives. - Yanling Zhang, Jian Liu, Aming Li:
Effects of empathy on the evolution of fairness in group-structured populations. - Alexis Kirke:
Application of Grover's Algorithm on the ibmqx4 Quantum Computer to Rule-based Algorithmic Music Composition. - Xiaolei Liu, Xiaojiang Du, Xiaosong Zhang, Qingxin Zhu, Mohsen Guizani:
Adversarial Samples on Android Malware Detection Systems for IoT Systems. - Xiaoyan Lu, Boleslaw K. Szymanski:
Asymptotic resolution bounds of generalized modularity and statistically significant community detection. - Dengsheng Chen, Wenxi Liu, You Huang, Tong Tong, Yuanlong Yu:
Enhancement Mask for Hippocampus Detection and Segmentation. - Tommaso Dreossi, Daniel J. Fremont, Shromona Ghosh, Edward Kim, Hadi Ravanbakhsh, Marcell Vazquez-Chanlatte, Sanjit A. Seshia:
VERIFAI: A Toolkit for the Design and Analysis of Artificial Intelligence-Based Systems. - Kento Nozawa, Issei Sato:
PAC-Bayes Analysis of Sentence Representation. - Kohei Toyoda, Michinari Kono, Jun Rekimoto:
Post-Data Augmentation to Improve Deep Pose Estimation of Extreme and Wild Motions. - Seungki Min, Costis Maglaras, Ciamac C. Moallemi:
Thompson Sampling with Information Relaxation Penalties. - Adrià Galin-Pons:
Technology Independent Method for defining Battery Powered LPWAN End-Point Lifetime Estimation. - Mumin Cebe, Kemal Akkaya:
Communication-efficient Certificate Revocation Management for Advanced Metering Infrastructure. - Mingda Qiao, Gregory Valiant:
A Theory of Selective Prediction. - Dilip Arumugam, Jun Ki Lee, Sophie Saskin, Michael L. Littman:
Deep Reinforcement Learning from Policy-Dependent Human Feedback. - Zhenyi Liu, Minghao Shen, Jiaqi Zhang, Shuangting Liu, Henryk Blasinski, Trisha Lian, Brian A. Wandell:
A system for generating complex physically accurate sensor images for automotive applications. - Matthew J. Hausknecht, Ricky Loynd, Greg Yang, Adith Swaminathan, Jason D. Williams:
NAIL: A General Interactive Fiction Agent. - Tong Guo, Huilin Gao:
Table2answer: Read the database and answer without SQL. - Daniel Hienert, Dagmar Kern, Matthew Mitsui, Chirag Shah, Nicholas J. Belkin:
Reading Protocol: Understanding what has been Read in Interactive Information Retrieval Tasks. - Qadeer Khan, Torsten Schön, Patrick Wenzel:
Towards Self-Supervised High Level Sensor Fusion. - Olivier Tilmans, Olivier Bonaventure:
COP2: Continuously Observing Protocol Performance. - Ohad Fried, Maneesh Agrawala:
Puppet Dubbing. - Cheng Lu, Ya-Feng Liu, Jing Zhou:
An Enhanced SDR based Global Algorithm for Nonconvex Complex Quadratic Programs with Signal Processing Applications. - Jaeyoung Yoo, Hojun Lee, Nojun Kwak:
Density Estimation and Incremental Learning of Latent Vector for Generative Autoencoders. - Cristian Consonni, David Laniado, Alberto Montresor:
WikiLinkGraphs: A complete, longitudinal and multi-language dataset of the Wikipedia link networks. - Jonas Löhdefink, Andreas Bär, Nico M. Schmidt, Fabian Hüger, Peter Schlicht, Tim Fingscheidt:
GAN- vs. JPEG2000 Image Compression for Distributed Automotive Perception: Higher Peak SNR Does Not Mean Better Semantic Segmentation. - Sabah Suhail, Choong Seon Hong, Abid Khan:
Orchestrating Product Provenance Story: When IOTA ECOSYSTEM Meets The Electronics Supply Chain Space. - Ioannis Caragiannis, Nick Gravin, Xin Huang:
Envy-freeness up to any item with high Nash welfare: The virtue of donating items. - David López-Pérez, Adrian García-Rodríguez, Lorenzo Galati-Giordano, Mika Kasslin, Klaus Doppler:
IEEE 802.11be Extremely High Throughput: The Next Generation of Wi-Fi Technology Beyond 802.11ax. - Yue Tan, Kan Zheng, Lei Lei:
An In-Vehicle KWS System with Multi-Source Fusion for Vehicle Applications. - Yuzhen Qin, Ming Cao, Brian D. O. Anderson:
Lyapunov Criterion for Stochastic Systems and Its Applications in Distributed Computation. - Ryota Suzuki, Ryusuke Takahama, Shun Onoda:
Hyperbolic Disk Embeddings for Directed Acyclic Graphs. - Étienne André, Didier Lime, Mathias Ramparison, Mariëlle Stoelinga:
Parametric analyses of attack-fault trees. - Julius Kunze, Louis Kirsch, Hippolyt Ritter, David Barber:
Gaussian Mean Field Regularizes by Limiting Learned Information. - Mathias Bürki, Lukas Schaupp, Marcin Dymczyk, Renaud Dubé, Cesar Cadena, Roland Siegwart, Juan I. Nieto:
VIZARD: Reliable Visual Localization for Autonomous Vehicles in Urban Outdoor Environments. - Chuan Zhang, Liehuang Zhu, Chang Xu, Kashif Sharif, Ximeng Liu, Xiaojiang Du, Mohsen Guizani:
Achieving Trust-Based and Privacy-Preserving Customer Selection in Ubiquitous Computing. - Kai Olav Ellefsen, Joost Huizinga, Jim Tørresen:
Guiding Neuroevolution with Structural Objectives. - Mohammad Kamalzare, Reza Kahani, Alireza Talebpour, Ahmad Mahmoudi Aznaveh:
The effect of scene context on weakly supervised semantic segmentation. - Li Lin, Peng Li, Jinbo Xiong, Mingwei Lin:
Distributed and Application-aware Task Scheduling in Edge-clouds. - Antoine Durand, Elyes Ben Hamida, David Leporini, Gérard Memmi:
Asymptotic Performance Analysis of Blockchain Protocols. - Shixin Zhu, Zhonghua Sun, Xiaoshan Kai:
A Class of Narrow-Sense BCH Codes. - Krishnendu Chatterjee, Hongfei Fu, Amir Kafshdar Goharshady, Ehsan Kafshdar Goharshady:
Polynomial Invariant Generation for Non-deterministic Recursive Programs. - Arash Akbarinia, Karl R. Gegenfurtner:
Manifestation of Image Contrast in Deep Networks. - Katerina Papaioannou, Martin Theobald, Michael H. Böhlen:
Generalized Lineage-Aware Temporal Windows: Supporting Outer and Anti Joins in Temporal-Probabilistic Databases. - Laura Edelson, Shikhar Sakhuja, Ratan Dey, Damon McCoy:
An Analysis of United States Online Political Advertising Transparency. - Zhihong Tian, Wei Shi, Yuhang Wang, Chunsheng Zhu, Xiaojiang Du, Shen Su, Yanbin Sun, Nadra Guizani:
Real Time Lateral Movement Detection based on Evidence Reasoning Network for Edge Computing Environment. - Rainer Kelz, Sebastian Böck, Gerhard Widmer:
Multitask Learning for Polyphonic Piano Transcription, a Case Study. - Libby Ferland, Thomas Huffstutler, Jacob Rice, Joan Zheng, Shi Ni, Maria L. Gini:
Evaluating Older Users' Experiences with Commercial Dialogue Systems: Implications for Future Design and Development. - Alex Bäuerle, Timo Ropinski:
Net2Vis: Transforming Deep Convolutional Networks into Publication-Ready Visualizations. - Meinard Müller, Andreas Arzt, Stefan Balke, Matthias Dorfer, Gerhard Widmer:
Cross-Modal Music Retrieval and Applications: An Overview of Key Methodologies. - Dongliang Xu, Bailing Wang, Xiaojiang Du, Xiaoyan Zhu, Zhitao Guan, Xiaoyan Yu, Jingyu Liu:
Verification Code Recognition Based on Active and Deep Learning. - Tønnes F. Nygaard, Charles P. Martin, Jim Tørresen, Kyrre Glette:
Evolving Robots on Easy Mode: Towards a Variable Complexity Controller for Quadrupeds. - M. Hanefi Calp:
An Estimation of Personnel Food Demand Quantity for Businesses by Using Artificial Neural Networks. - Roland Kunkel, Do Le Quoc, Franz Gregor, Sergei Arnautov, Pramod Bhatotia, Christof Fetzer:
TensorSCONE: A Secure TensorFlow Framework using Intel SGX. - Ahmed Abusnaina, Aminollah Khormali, Hisham Alasmary, Jeman Park, Afsah Anwar, Ulku Meteriz, Aziz Mohaisen:
Examining Adversarial Learning against Graph-based IoT Malware Detection Systems. - Nurettin Topaloglu, M. Hanefi Calp, Burak Turk:
A Novel Data Encryption Algorithm Design and Implementation in Information Security Scope. - Krishna Gopal Benerjee, Sourav Deb, Manish K. Gupta:
On Conflict Free DNA Codes. - Pawel Gawrychowski, Seungbum Jo, Shay Mozes, Oren Weimann:
Compressed Range Minimum Queries. - Tong Zhou:
Topology and Subsystem Parameter Based Verification for the Controllability/Observability of a Networked Dynamic System. - Guofa Cai, Yi Fang, Jinming Wen, Guojun Han, Xiaodong Yang:
QoS-Aware Buffer-Aided Relaying Implant WBAN for Healthcare IoT: Opportunities and Challenges. - André Schaller, Wenjie Xiong, Nikolaos Athanasios Anagnostopoulos, Muhammad Umair Saleem, Sebastian Gabmeyer, Stefan Katzenbeisser, Jakub Szefer:
Intrinsic Rowhammer PUFs: Leveraging the Rowhammer Effect for Improved Security. - Frank Schoeneman, Jaroslaw Zola:
Performance of All-Pairs Shortest-Paths Solvers with Apache Spark. - Hamid Ghasemi, Mahdi Jafari Siavoshani, Saeed Hadadan:
A Novel Communication Cost Aware Load Balancing in Content Delivery Networks using Honeybee Algorithm. - Mahdi H. Miraz, David C. Donald:
Atomic Cross-chain Swaps: Development, Trajectory and Potential of Non-monetary Digital Token Swap Facilities. - Chen Liu, Yasutaka Furukawa:
MASC: Multi-scale Affinity with Sparse Convolution for 3D Instance Segmentation. - Lin Zhu, Yihong Chen, Bowen He:
A Domain Generalization Perspective on Listwise Context Modeling. - Jonathan Donier:
Capacity allocation analysis of neural networks: A tool for principled architecture design. - Diedre Carmo, Bruna Silva, Clarissa L. Yasuda, Letícia Rittner, Roberto de Alencar Lotufo:
Extended 2D Volumetric Consensus Hippocampus Segmentation. - Liehuang Zhu, Md. Monjurul Karim, Kashif Sharif, Fan Li, Xiaojiang Du, Mohsen Guizani:
SDN Controllers: Benchmarking & Performance Evaluation. - Yavuz Yapici, Sung Joon Maeng, Ismail Güvenç, Huaiyu Dai, Arupjyoti Bhuyan:
SLNR Based Precoding for One-Bit Quantized Massive MIMO in mmWave Communications. - Rudra P. K. Poudel, Stephan Liwicki, Roberto Cipolla:
Fast-SCNN: Fast Semantic Segmentation Network. - Michele Mazza, Stefano Cresci, Marco Avvenuti, Walter Quattrociocchi, Maurizio Tesconi:
RTbust: Exploiting Temporal Patterns for Botnet Detection on Twitter. - Andrii Trelin, Ales Procházka:
Binary Stochastic Filtering: a Solution for Supervised Feature Selection and Neural Network Shape Optimization. - Batiste Le Bars, Argyris Kalogeratos:
A Probabilistic Framework to Node-level Anomaly Detection in Communication Networks. - Yuandong Tian, Jerry Ma, Qucheng Gong, Shubho Sengupta, Zhuoyuan Chen, James Pinkerton, C. Lawrence Zitnick:
ELF OpenGo: An Analysis and Open Reimplementation of AlphaZero. - Diego Agudelo-España, Sebastián Gómez-González, Stefan Bauer, Bernhard Schölkopf, Jan Peters:
Bayesian Online Detection and Prediction of Change Points. - Sebastian Deri, Jérémie Rappaz, Luca Maria Aiello, Daniele Quercia:
Coloring in the Links: Capturing Social Ties as They are Perceived. - Jakob Piribauer, Christel Baier:
Partial and Conditional Expectations in Markov Decision Processes with Integer Weights. - Xi Wang, Albert Chern, Marc Alexa:
Center of circle after perspective transformation. - Harris Chan, Yuhuai Wu, Jamie Kiros, Sanja Fidler, Jimmy Ba:
ACTRCE: Augmenting Experience via Teacher's Advice For Multi-Goal Reinforcement Learning. - Mishal Assif P. K., Mohammed Rayyan Sheriff, Debasish Chatterjee:
Measure of quality of finite-dimensional linear systems: A frame-theoretic view. - Kelsey R. Allen, Evan Shelhamer, Hanul Shin, Joshua B. Tenenbaum:
Infinite Mixture Prototypes for Few-Shot Learning. - Hong Yang, Erik G. Larsson:
Can Massive MIMO Support Uplink Intensive Applications? - Manaar Alam, Arnab Bag, Debapriya Basu Roy, Dirmanto Jap, Jakub Breier, Shivam Bhasin, Debdeep Mukhopadhyay:
Enhancing Fault Tolerance of Neural Networks for Security-Critical Applications. - Jerzy Konorski, Szymon Szott:
Analysis of a Traffic Remapping Attack Game in a Multi-hop Ad Hoc Network. - Ming-Chun Lee, Mingyue Ji, Andreas F. Molisch, Nishanth Sastry:
Throughput-Outage Analysis and Evaluation of Cache-Aided D2D Networks with Measured Popularity Distributions. - Mehdi Salehi Heydar Abad, Özgür Erçetin:
Finite Horizon Throughput Maximization for a Wirelessly Powered Device over a Time Varying Channel. - Mehdi Salehi Heydar Abad, Deniz Gündüz, Özgür Erçetin:
Communication over a time correlated channel with an energy harvesting transmitter. - Mehdi Salehi Heydar Abad, Özgür Erçetin, Tamer A. ElBatt, Mohammed Nafie:
Wireless energy and information transfer in networks with hybrid ARQ. - Alessandro Bay, Panagiotis Sidiropoulos, Eduard Vazquez, Michele Sasdelli:
Real-time tracker with fast recovery from target loss. - Vaibhav Kumar, Barry Cardiff, Mark F. Flanagan:
User-Antenna Selection for Physical-Layer Network Coding based on Euclidean Distance. - Ruggero Lanotte, Massimo Merro, Andrei Munteanu, Luca Viganò:
A Formal Approach to Physics-Based Attacks in Cyber-Physical Systems (Extended Version). - Emily Shaw, Tessa Roper, Tommy Nilsson, Glyn Lawson, Sue Cobb, Daniel Miller:
The Heat is On: Exploring User Behaviour in a Multisensory Virtual Environment for Fire Evacuation. - Momchil Hardalov, Ivan Koychev, Preslav Nakov:
Machine Reading Comprehension for Answer Re-Ranking in Customer Support Chatbots. - M. E. J. Newman:
Spectra of networks containing short loops. - (Withdrawn) Towards Jointly Optimal Placement and Delivery: To Code or Not to Code in Wireless Caching Networks.
- Abubakar Abid, James Y. Zou:
Contrastive Variational Autoencoder Enhances Salient Features. - Edward Collier, Kate Duffy, Sangram Ganguly, Geri Madanguit, Subodh Kalia, Shreekant Gayaka, Ramakrishna R. Nemani, Andrew R. Michaelis, Shuang Li, Auroop R. Ganguly, Supratik Mukhopadhyay:
Progressively Growing Generative Adversarial Networks for High Resolution Semantic Segmentation of Satellite Images. - Eric Clarkson:
Quantifying the Loss of Information from Binning List-Mode Data. - Eric Clarkson:
Inequalities and Approximations for Fisher Information in the Presence of Nuisance Parameters. - Peifeng Yu, Mosharaf Chowdhury:
Salus: Fine-Grained GPU Sharing Primitives for Deep Learning Applications. - Jaehyuk Park, Ian B. Wood, Elise Jing, Azadeh Nematzadeh, Souvik Ghosh, Michael D. Conover, Yong-Yeol Ahn:
Global labor flow network reveals the hierarchical organization and dynamics of geo-industrial clusters in the world economy. - Taco S. Cohen, Maurice Weiler, Berkay Kicanaoglu, Max Welling:
Gauge Equivariant Convolutional Networks and the Icosahedral CNN. - Mahmoud Elfar, Yu Wang, Miroslav Pajic:
Security-Aware Synthesis Using Delayed-Action Games. - Xinyi Chen, Naman Agarwal, Elad Hazan, Cyril Zhang, Yi Zhang:
Extreme Tensoring for Low-Memory Preconditioning. - Michael Banf:
Learning Theory and Support Vector Machines - a primer. - Steven Bohez, Abbas Abdolmaleki, Michael Neunert, Jonas Buchli, Nicolas Heess, Raia Hadsell:
Value constrained model-free continuous control. - Morten Mossige, Arnaud Gotlieb, Helge Spieker, Hein Meling, Mats Carlsson:
Time-aware Test Case Execution Scheduling for Cyber-Physical Systems. - Shelby Heinecke, Lev Reyzin:
Crowdsourced PAC Learning under Classification Noise. - Nick Gravin, Yaonan Jin, Pinyan Lu, Chenhao Zhang:
Optimal Budget-Feasible Mechanisms for Additive Valuations. - Tyler Sypherd, Mario Díaz, Lalitha Sankar, Peter Kairouz:
A Tunable Loss Function for Binary Classification. - Swamit S. Tannu, Poulami Das, Michael L. Lewis, Robert F. Krick, Douglas M. Carmean, Moinuddin K. Qureshi:
A Case for Superconducting Accelerators. - Cristina Matache:
Program Equivalence for Algebraic Effects via Modalities. - Debmalya Mandal, David C. Parkes:
Weighted Tensor Completion for Time-Series Causal Inference. - Cenk Albayrak, Kadir Türk, Emin Tugcu, Cemaleddin Simsek, Ayhan Yazgan:
Seamless Rate Adaptation at Receiver Side for Indoor Visible Light Communications by Using Raptor Codes. - Christoph M. Hackl, Markus Landerer:
Modified second-order generalized integrators with modified frequency locked loop for fast harmonics estimation of distorted single-phase signals. - Krishnendu Chatterjee, Hongfei Fu, Amir Kafshdar Goharshady, Peixin Wang, Xudong Qin, Wenjun Shi:
Cost Analysis of Nondeterministic Probabilistic Programs. - Chuan Zhang, Liehuang Zhu, Chang Xu, Xiaojiang Du, Mohsen Guizani:
A Privacy-Preserving Traffic Monitoring Scheme via Vehicular Crowdsourcing. - Zhihong Tian, Xiangsong Gao, Shen Su, Jing Qiu, Xiaojiang Du, Mohsen Guizani:
Evaluating Reputation Management Schemes of Internet of Vehicles based on Evolutionary Game Theory. - Samet Oymak, Mahdi Soltanolkotabi:
Towards moderate overparameterization: global convergence guarantees for training shallow neural networks. - Juening Jin, Chengshan Xiao, Wen Chen, Yongpeng Wu:
Channel-Statistics-Based Hybrid Precoding for Millimeter-Wave MIMO Systems With Dynamic Subarrays. - Owen Mayer, Matthew C. Stamm:
Forensic Similarity for Digital Images. - Dylan J. Foster, Ayush Sekhari, Ohad Shamir, Nathan Srebro, Karthik Sridharan, Blake E. Woodworth:
The Complexity of Making the Gradient Small in Stochastic Convex Optimization. - Mehrdad Showkatbakhsh, Can Karakus, Suhas N. Diggavi:
Privacy-Utility Trade-off of Linear Regression under Random Projections and Additive Noise. - Vahid Roostapour, Mojgan Pourhassan, Frank Neumann:
Analysis of Baseline Evolutionary Algorithms for the Packing While Travelling Problem. - Thomas Gabor, Marie Kiermeier, Andreas Sedlmeier, Bernhard Kempter, Cornel Klein, Horst Sauer, Reiner N. Schmid, Jan Wieghardt:
Adapting Quality Assurance to Adaptive Systems: The Scenario Coevolution Paradigm. - Ali Lenjani:
Using Approximate Models in Robot Learning. - Anders Høst-Madsen, Mojtaba Abolfazli, June Zhang:
Differential Description Length for Hyperparameter Selection in Machine Learning. - Thomas Gabor, Sebastian Zielinski, Sebastian Feld, Christoph Roch, Christian Seidel, Florian Neukart, Isabella Galter, Wolfgang Mauerer, Claudia Linnhoff-Popien:
Assessing Solution Quality of 3SAT on a Quantum Annealing Platform. - Yongjie Liu, Sijie Shen:
Self-adaptive Single and Multi-illuminant Estimation Framework based on Deep Learning. - Devin Schwab, Jost Tobias Springenberg, Murilo F. Martins, Thomas Lampe, Michael Neunert, Abbas Abdolmaleki, Tim Hertweck, Roland Hafner, Francesco Nori, Martin A. Riedmiller:
Simultaneously Learning Vision and Feature-based Control Policies for Real-world Ball-in-a-Cup. - Fan Yao, Hongyu Fang, Milos Doroslovacki, Guru Venkataramani:
Towards a Better Indicator for Cache Timing Channels. - Lei Bi, Yuyu Guo, Qian Wang, Dagan Feng, Michael J. Fulham, Jinman Kim:
Automated Segmentation of the Optic Disk and Cup using Dual-Stage Fully Convolutional Networks. - Domagoj Jakobovic, Stjepan Picek, Marcella S. R. Martins, Markus Wagner:
A characterisation of S-box fitness landscapes in cryptography. - Surbhi Goel, Daniel M. Kane, Adam R. Klivans:
Learning Ising Models with Independent Failures. - Jiaxiang Jiang, Po-Yu Kao, Samuel A. Belteton, Daniel Szymanski, B. S. Manjunath:
Accurate 3D Cell Segmentation using Deep Feature and CRF Refinement. - Joachim Gudmundsson, Sampson Wong:
Computing the Yolk in Spatial Voting Games without Computing Median Lines. - Bobby Powers, David Tench, Emery D. Berger, Andrew McGregor:
Mesh: Compacting Memory Management for C/C++ Applications. - Joshua Brakensiek, Sivakanth Gopi, Venkatesan Guruswami:
CSPs with Global Modular Constraints: Algorithms and Hardness via Polynomial Representations. - Alon Cohen, Avinatan Hassidim, Haim Kaplan, Yishay Mansour, Shay Moran:
Learning and Generalization for Matching Problems. - Vaishnavh Nagarajan, J. Zico Kolter:
Uniform convergence may be unable to explain generalization in deep learning. - Lin Zhu, Yihong Chen:
Session-based Sequential Skip Prediction via Recurrent Neural Networks. - Peixin Wang, Hongfei Fu, Krishnendu Chatterjee, Kangli He, Ming Xu:
Proving Expected Sensitivity of Probabilistic Programs with Randomized Execution Time. - Yanpei Huang, Etienne Burdet, Lin Cao, Phuoc Thien Phan, Anthony Meng Huat Tiong, Soo Jay Phee:
A Subject-Specific Four-Degree-of-Freedom Foot Interface to Control a Robot Arm. - Jian Zhao, Jianshu Li, Xiaoguang Tu, Fang Zhao, Yuan Xin, Junliang Xing, Hengzhu Liu, Shuicheng Yan, Jiashi Feng:
Multi-Prototype Networks for Unconstrained Set-based Face Recognition. - Greg Yang:
Scaling Limits of Wide Neural Networks with Weight Sharing: Gaussian Process Behavior, Gradient Independence, and Neural Tangent Kernel Derivation. - Yue Xu, Feng Yin, Wenjun Xu, Jiaru Lin, Shuguang Cui:
Wireless Traffic Prediction with Scalable Gaussian Process: Framework, Algorithms, and Verification. - Yue Xie, Oscar Harper, Hirad Assimi, Aneta Neumann, Frank Neumann:
Evolutionary Algorithms for the Chance-Constrained Knapsack Problem. - Yong Liu, Jian Li, Guangjun Wu, Lizhong Ding, Weiping Wang:
Efficient Cross-Validation for Semi-Supervised Learning. - Deming Yuan, Alexandre Proutière, Guodong Shi:
Distributed Online Linear Regression. - Lin F. Yang, Mengdi Wang:
Sample-Optimal Parametric Q-Learning with Linear Transition Models. - Pravesh K. Kothari, Roi Livni:
On the Expressive Power of Kernel Methods and the Efficiency of Kernel Learning by Association Schemes. - Megha Srivastava, Hoda Heidari, Andreas Krause:
Mathematical Notions vs. Human Perception of Fairness: A Descriptive Approach to Fairness for Machine Learning. - Lorraine A. K. Ayad, Golnaz Badkobeh, Gabriele Fici, Alice Héliou, Solon P. Pissis:
Constructing Antidictionaries in Output-Sensitive Space. - Klaus-Dieter Schewe, Andreas Prinz, Egon Börger:
Concurrent Computing with Shared Replicated Memory. - Thomas Minier, Hala Skaf-Molli, Pascal Molli:
SaGe: Web Preemption for Public SPARQL Query Services. - Sebastian Arnold, Rudolf Schneider, Philippe Cudré-Mauroux, Felix A. Gers, Alexander Löser:
SECTOR: A Neural Model for Coherent Topic Segmentation and Classification. - Charles Gueunet, Pierre Fortin, Julien Jomier, Julien Tierny:
Task-based Augmented Contour Trees with Fibonacci Heaps. - Andrea Corradini, Tobias Heindel, Barbara König, Dennis Nolte, Arend Rensink:
Rewriting Abstract Structures: Materialization Explained Categorically. - Cristian da Costa Rocha, Nicolas Padoy, Benoit Rosa:
Self-Supervised Surgical Tool Segmentation using Kinematic Information. - Chi Jin, Praneeth Netrapalli, Rong Ge, Sham M. Kakade, Michael I. Jordan:
Stochastic Gradient Descent Escapes Saddle Points Efficiently. - Kevin Roth, Yannic Kilcher, Thomas Hofmann:
The Odds are Odd: A Statistical Test for Detecting Adversarial Examples. - Nicolas S. Holliman, Manu Antony, James Charlton, Stephen Dowsland, Philip James, Mark Turner:
Petascale Cloud Supercomputing for Terapixel Visualization of a Digital Twin. - Tshilidzi Marwala:
Relative rationality: Is machine rationality subjective? - Thomas Ehrhard:
Differentials and distances in probabilistic coherence spaces. - Amey Agrawal, Abhishek Dixit, Darshil Kapadia, Rohit Karlupia, Vikram Agrawal, Rajat Gupta:
Delog: A Privacy Preserving Log Filtering Framework for Online Compute Platforms. - Shengjun Wei, Hao Zhong, Chun Shan, Lin Ye, Xiaojiang Du, Mohsen Guizani:
Vulnerability Prediction Based on Weighted Software Network for Secure Software Building. - Angelo Porrello, Davide Abati, Simone Calderara, Rita Cucchiara:
Classifying Signals on Irregular Domains via Convolutional Cluster Pooling. - Sk. Arif Ahmed, Debi Prosad Dogra, Heeseung Choi, Seungho Chae, Ig-Jae Kim:
Person Re-identification in Videos by Analyzing Spatio-Temporal Tubes. - Shoujin Wang, Longbing Cao, Yan Wang:
A Survey on Session-based Recommender Systems. - Russell J. Bradford, James H. Davenport, Matthew England, Hassan Errami, Vladimir P. Gerdt, Dima Grigoriev, Charles Tapley Hoyt, Marek Kosta, Ovidiu Radulescu, Thomas Sturm, Andreas Weber:
Identifying the Parametric Occurrence of Multiple Steady States for some Biological Networks. - Qiang Yang, Yang Liu, Tianjian Chen, Yongxin Tong:
Federated Machine Learning: Concept and Applications. - Luca Bergamini, Angelo Porrello, Andrea Capobianco Dondona, Ercole Del Negro, Mauro Mattioli, Nicola D'Alterio, Simone Calderara:
Multi-views Embedding for Cattle Re-identification. - Mehdi Salehi Heydar Abad, Deniz Gündüz, Özgür Erçetin:
Energy harvesting wireless networks with correlated energy sources. - Ziqiang Shi, Huibin Lin, Liu Liu, Rujie Liu, Jiqing Han:
FurcaNeXt: End-to-end monaural speech separation with dynamic gated dilated temporal convolutional networks. - Beomsu Kim, Junghoon Seo, Seunghyun Jeon, Jamyoung Koo, Jeongyeol Choe, Taegyun Jeon:
Why are Saliency Maps Noisy? Cause of and Solution to Noisy Saliency Maps. - Thomas George Thuruthel, Syed Haider Abidi, Matteo Cianchetti, Cecilia Laschi, Egidio Falotico:
A bistable soft gripper with mechanically embedded sensing and actuation for fast closed-loop grasping. - Yinghua Li, Bin Song, Jie Guo, Xiaojiang Du, Mohsen Guizani:
Super-Resolution of Brain MRI Images using Overcomplete Dictionaries and Nonlocal Similarity. - Konstantinos Boikos, Christos-Savvas Bouganis:
A Scalable FPGA-based Architecture for Depth Estimation in SLAM. - Rongzhong Lian, Min Xie, Fan Wang, Jinhua Peng, Hua Wu:
Learning to Select Knowledge for Response Generation in Dialog Systems. - Rémy Belmonte, Tesshu Hanaka, Ioannis Katsikarelis, Eun Jung Kim, Michael Lampis:
New Results on Directed Edge Dominating Set. - Werner Damm, Martin Fränzle, Andreas Lüdtke, Jochem W. Rieger, Alexander Trende, Anirudh Unni:
Integrating Neurophysiological Sensors and Driver Models for Safe and Performant Automated Vehicle Control in Mixed Traffic. - Anton Dignös, Boris Glavic, Xing Niu, Michael H. Böhlen, Johann Gamper:
Snapshot Semantics for Temporal Multiset Relations (Extended Version). - Kyle Luther, H. Sebastian Seung:
Variance-Preserving Initialization Schemes Improve Deep Network Training: But Which Variance is Preserved? - Feng Liu, Luan Tran, Xiaoming Liu:
3D Face Modeling from Diverse Raw Scan Data. - Kaustav Bose, Manash Kumar Kundu, Ranendu Adhikary, Buddhadeb Sau:
Arbitrary Pattern Formation by Asynchronous Opaque Robots. - Yan Wang, Xuelei Sherry Ni:
Modeling default rate in P2P lending via LSTM. - Sk. Arif Ahmed, Debi Prosad Dogra, Samarjit Kar, Partha Pratim Roy, Dilip K. Prasad:
Can We Automate Diagrammatic Reasoning? - Thomas Place, Marc Zeitoun:
Separation and covering for group based concatenation hierarchies. - Holger Dell, Marc Roth, Philip Wellnitz:
Counting Answers to Existential Questions. - Kaidong Wu:
An Empirical Study of Blockchain-based Decentralized Applications. - Seyedehsara Nayer, Praneeth Narayanamurthy, Namrata Vaswani:
Phaseless Low Rank Matrix Recovery and Subspace Tracking. - Gabriele Farina, Christian Kroer, Noam Brown, Tuomas Sandholm:
Stable-Predictive Optimistic Counterfactual Regret Minimization. - George Gunter, Caroline Janssen, William Barbour, Raphael E. Stern, Daniel B. Work:
Model based string stability of adaptive cruise control systems using field data. - H. A. Abdulkareem, A. M. S. Tekanyi, I. Yau, Bashir Olaniyi Sadiq:
Development of Video Frame Enhancement Technique Using Pixel Intensity Analysis. - Christoph Heindl, Sebastian Zambal, Thomas Pönitz, Andreas Pichler, Josef Scharinger:
3D Robot Pose Estimation from 2D Images. - Fabio Maria Carlucci:
Learning to see across Domains and Modalities. - Linyi Yang, Zheng Zhang, Su Xiong, Lirui Wei, James Ng, Lina Xu, Ruihai Dong:
Explainable Text-Driven Neural Network for Stock Prediction. - John Charlton, Steve Maddock, Paul Richmond:
Two-Dimensional Batch Linear Programming on the GPU. - Tobias Gruber, Frank D. Julca-Aguilar, Mario Bijelic, Werner Ritter, Klaus Dietmayer, Felix Heide:
Gated2Depth: Real-time Dense Lidar from Gated Images. - Pierre L. Dognin, Igor Melnyk, Youssef Mroueh, Jerret Ross, Cícero Nogueira dos Santos, Tom Sercu:
Wasserstein Barycenter Model Ensembling. - Qianwen Wang, Yao Ming, Zhihua Jin, Qiaomu Shen, Dongyu Liu, Micah J. Smith, Kalyan Veeramachaneni, Huamin Qu:
ATMSeer: Increasing Transparency and Controllability in Automated Machine Learning. - Haim Kaplan, Yishay Mansour, Yossi Matias, Uri Stemmer:
Differentially Private Learning of Geometric Concepts. - Ting Fung Lau, Ji Luo, Shengyu Zhao, Eric I-Chao Chang, Yan Xu:
Unsupervised 3D End-to-End Medical Image Registration with Volume Tweening Network. - Youye Xie, Michael B. Wakin, Gongguo Tang:
Simultaneous Sparse Recovery and Blind Demodulation. - Justice Amoh, Kofi Odame:
An Optimized Recurrent Unit for Ultra-Low-Power Keyword Spotting. - Arun Lakshmanan, Andrew Patterson, Venanzio Cichella, Naira Hovakimyan:
Proximity Queries for Absolutely Continuous Parametric Curves. - Agostino Funel:
Evolution of the Internet at the Autonomous Systems Level During a Decade. - Pedro Savarese, Itay Evron, Daniel Soudry, Nathan Srebro:
How do infinite width bounded norm networks look in function space? - David Mguni:
Cutting Your Losses: Learning Fault-Tolerant Control and Optimal Stopping under Adverse Risk. - Aivo Toots, Reedik Tuuling, Maksym Yerokhin, Marlon Dumas, Luciano García-Bañuelos, Peeter Laud, Raimundas Matulevicius, Alisa Pankova, Martin Pettai, Pille Pullonen, Jake Tom:
Business Process Privacy Analysis in Pleak. - Imène Trigui, Sofiène Affes:
HetNets Coverage Modeling and Analysis Over Fox's $\mathcal{H}$-Fading Channels. - Alexander J. A. Ty, Zheng Fang, Rivver A. Gonzales, Paul J. Rozdeba, Henry D. I. Abarbanel:
Machine Learning of Time Series Using Time-delay Embedding and Precision Annealing. - Weijia Zhang, Jiuyong Li, Lin Liu:
Distributionally Robust Multi-instance Learning with Stable Instances. - Duggirala Meher Krishna, Duggirala Ravi:
Fast Parallel Integer Adder in Binary Representation. - Royal Jain:
Improving performance and inference on audio classification tasks using capsule networks. - Mee Seong Im, Venkat R. Dasari, Lubjana Beshaj, Dale R. Shires:
Optimization problems with low SWaP tactical Computing. - Nicolas Le Roux:
Anytime Tail Averaging. - Riyaz Ahmad Bhat, Irshad Ahmad Bhat, Dipti Misra Sharma:
Leveraging Newswire Treebanks for Parsing Conversational Data with Argument Scrambling. - Tien-Ju Yang, Maxwell D. Collins, Yukun Zhu, Jyh-Jing Hwang, Ting Liu, Xiao Zhang, Vivienne Sze, George Papandreou, Liang-Chieh Chen:
DeeperLab: Single-Shot Image Parser. - Chester J. Weiss, Bart G. van Bloemen Waanders, Harbir Antil:
Fractional Operators Applied to Geophysical Electromagnetics. - Mojtaba Noghabaei, Khashayar Asadi, Kevin K. Han:
Virtual Manipulation in an Immersive Virtual Environment: Simulation of Virtual Assembly. - Sami Davies, Miklós Z. Rácz, Cyrus Rashtchian:
Reconstructing Trees from Traces. - José Miguel Díaz-Báñez, Luis Evaristo Caraballo, Mario Alberto López, Sergey Bereg, Iván Maza, Aníbal Ollero:
A framework for synchronizing a team of aerial robots in communication-limited environments. - Zhijian Li, Xiyang Luo, Bao Wang, Andrea L. Bertozzi, Jack Xin:
A Study on Graph-Structured Recurrent Neural Networks and Sparsification with Application to Epidemic Forecasting. - Lefteris Zervakis, Vinay Setty, Christos Tryfonopoulos, Katja Hose:
Efficient Continuous Multi-Query Processing over Graph Streams. - Dongyang Zhan, Huhua Li, Lin Ye, Hongli Zhang, Binxing Fang, Xiaojiang Du:
A Low-overhead Kernel Object Monitoring Approach for Virtual Machine Introspection. - Vincent Corlay, Joseph J. Boutros, Philippe Ciblat, Loïc Brunel:
On the CVP for the root lattices via folding with deep ReLU neural networks. - Daniel T. Chang:
Probabilistic Generative Deep Learning for Molecular Design. - Luca Aceto, Antonis Achilleos, Adrian Francalanza, Anna Ingólfsdóttir, Karoliina Lehtinen:
The Cost of Monitoring Alone. - Shayan Eskandari, Seyedehmahsa Moosavi, Jeremy Clark:
SoK: Transparent Dishonesty: front-running attacks on Blockchain. - J. Ian Munro, Bryce Sandlund, Corwin Sinnamon:
Space-Efficient Data Structures for Lattices. - Makoto Itoh:
Some Interesting Features of Memristor CNN. - Christine Betts, Joanna Power, Waleed Ammar:
GrapAL: Querying Semantic Scholar's Literature Graph. - Giorgi Japaridze:
Computability logic: Giving Caesar what belongs to Caesar. - Behnoosh Parsa, Ekta U. Samani, Rose Hendrix, Shashi M. Singh, Santosh Devasia, Ashis G. Banerjee:
Predicting Ergonomic Risks During Indoor Object Manipulation Using Spatiotemporal Convolutional Networks. - Anqi Li, Mustafa Mukadam, Magnus Egerstedt, Byron Boots:
Multi-Objective Policy Generation for Multi-Robot Systems Using Riemannian Motion Policies. - Ross McIlroy, Jaroslav Sevcík, Tobias Tebbi, Ben L. Titzer, Toon Verwaest:
Spectre is here to stay: An analysis of side-channels and speculative execution. - Saeed Ranjbar Alvar, Ivan V. Bajic:
Multi-task learning with compressible features for Collaborative Intelligence. - Vedhas Pandit, Björn W. Schuller:
On Many-to-Many Mapping Between Concordance Correlation Coefficient and Mean Square Error. - Mingzhe Chen, Walid Saad, Changchuan Yin, Mérouane Debbah:
Data Correlation-Aware Resource Management in Wireless Virtual Reality (VR): An Echo State Transfer Learning Approach. - Ngoc Duy Nguyen, Thanh Nguyen, Saeid Nahavandi, Asim Bhatti, Glenn Guest:
Manipulating Soft Tissues by Deep Reinforcement Learning for Autonomous Robotic Surgery. - Shuang Qiu, David Gesbert, Da Chen, Tao Jiang:
A Covariance-Based Hybrid Channel Feedback in FDD Massive MIMO Systems. - Takehisa Iwakoshi:
Potentially Information-theoretic Secure Y00 Quantum Stream Cipher with Limited Key Lengths beyond One-Time Pad. - Jules Chouquet, Lionel Vaux Auclair:
An application of parallel cut elimination in multiplicative linear logic to the Taylor expansion of proof nets. - Natalia Martínez, Martín Bertrán, Guillermo Sapiro, Hau-Tieng Wu:
Non-contact photoplethysmogram and instantaneous heart rate estimation from infrared face video. - Jihyeok Kim, Reinald Kim Amplayo, Kyungjae Lee, Sua Sung, Minji Seo, Seung-won Hwang:
Categorical Metadata Representation for Customized Text Classification. - Linshan Jiang, Rui Tan, Xin Lou, Guosheng Lin:
On Lightweight Privacy-Preserving Collaborative Learning for IoT Objects. - Pierre-Jean Meyer, Alex Devonport, Murat Arcak:
TIRA: Toolbox for Interval Reachability Analysis. - Luis Garcia, Stefan Mitsch, André Platzer:
HyPLC: Hybrid Programmable Logic Controller Program Translation for Verification. - Zhengbo Zou, Semiha Ergan:
A Framework towards Quantifying Human Restorativeness in Virtual Built Environments. - Kourosh Meshgi, Maryam Sadat Mirzaei, Shigeyuki Oba:
Long and Short Memory Balancing in Visual Co-Tracking using Q-Learning. - Neda Hajiakhoond Bidoki, Gita Sukthankar, Heather Keathley, Ivan Garibay:
A Cross-Repository Model for Predicting Popularity in GitHub. - (Withdrawn) Network Semantic Segmentation with Application to GitHub.
- Takaaki Nishimoto, Yasuo Tabei:
Conversion from RLBWT to LZ77. - Shoji Toyota:
Geometry of Arimoto Algorithm. - Canhui Wang, Xiaowen Chu:
GPU Accelerated AES Algorithm. - Shuang Li, Michael B. Wakin, Gongguo Tang:
Atomic Norm Denoising for Complex Exponentials with Unknown Waveform Modulations. - Zhidong Liang, Ming Yang, Chunxiang Wang:
3D Graph Embedding Learning with a Structure-aware Loss Function for Point Cloud Semantic Instance Segmentation. - Jürgen Wallner, Irene Mischak, Jan Egger:
Computed tomography data collection of the complete human mandible and valid clinical ground truth models. - Peng Wang, Hong Xu, Xin Jin, Tao Wang:
Flash: Efficient Dynamic Routing for Offchain Networks. - Lau Skorstengaard, Dominique Devriese, Lars Birkedal:
Reasoning About a Machine with Local Capabilities: Provably Safe Stack and Return Pointer Management - Technical Appendix Including Proofs and Details. - Xin Tong, Weiming Liu, Bin Li:
Learn a Prior for RHEA for Better Online Planning. - Yanpeng Cao, Dayan Guan, Yulun Wu, Jiangxin Yang, Yanlong Cao, Michael Ying Yang:
Box-level Segmentation Supervised Deep Neural Networks for Accurate and Real-time Multispectral Pedestrian Detection. - Samira Abboud, Nancy El Rachkidy, Alexandre Guitton:
Efficient Decoding of Synchronized Colliding LoRa Signals. - Vegard Antun, Francesco Renna, Clarice Poon, Ben Adcock, Anders C. Hansen:
On instabilities of deep learning in image reconstruction - Does AI come at a cost? - Lingzhen Chen, Alessandro Moschitti:
Transfer Learning for Sequence Labeling Using Source Model and Target Data. - Ayesha Sadiq, Yuan-Fang Li, Sea Ling, Li Li, Ijaz Ahmed:
Sip4J: Statically inferring permission-based specifications for sequential Java programs. - Soomin Seo, Sehwan Ki, Munchurl Kim:
Deep HVS-IQA Net: Human Visual System Inspired Deep Image Quality Assessment Networks. - Pierre Barré, Chaouki Kasmi, Eiman Al Shehhi:
Spy the little Spies - Security and Privacy issues of Smart GPS trackers. - Canhui Wang, Xiaowen Chu:
GPU Accelerated Keccak (SHA3) Algorithm. - Colin Stephen:
Sinkhorn Divergence of Topological Signature Estimates for Time Series Classification. - Michiel de Bondt:
Slowly synchronizing DFAs of 7 states and maximal slowly synchronizing DFAs. - Johann Knechtel, Satwik Patnaik, Ozgur Sinanoglu:
Protect Your Chip Design Intellectual Property: An Overview. - Leandro Ventura Silva, Rodolfo Marinho, José Luis Vivas, Andrey Brito:
Security and Privacy Preserving Data Aggregation in Cloud Computing. - Chan Lee, Jinoh Lee, Sehoon Oh:
Towards Accurate Force Control of Series Elastic Actuators Exploiting a Robust Transmission Force Observer. - Shuvendu Rana, Rory Hampson, Gordon Dobie:
Breast Cancer: Model Reconstruction and Image Registration from Segmented Deformed Image using Visual and Force based Analysis. - Wonjik Kim, Masayuki Tanaka, Masatoshi Okutomi, Yoko Sasaki:
Automatic Labeled LiDAR Data Generation based on Precise Human Model. - Weiya Ren:
Study of dynamical system based obstacle avoidance via manipulating orthogonal coordinates. - Chan Lee, Sehoon Oh:
Performance Analysis of Series Elastic Actuator based on Maximum Torque Transmissibility. - Federico Simonetta, Stavros Ntalampiras, Federico Avanzini:
Multimodal music information processing and retrieval: survey and future challenges. - Wouter Van Gansbeke, Davy Neven, Bert De Brabandere, Luc Van Gool:
Sparse and noisy LiDAR completion with RGB guidance and uncertainty. - Zhiqian Chen, Gaurav Kolhe, Setareh Rafatirad, Sai Manoj P. D., Houman Homayoun, Liang Zhao, Chang-Tien Lu:
Estimating the Circuit Deobfuscating Runtime based on Graph Deep Learning. - Anna Kasunic, Chun-Wei Chiang, Geoff Kaufman, Saiph Savage:
Crowd Work on a CV? Understanding How AMT Fits into Turkers' Career Goals and Professional Profiles. - Claudio Grandi, Dariush Moshiri, Luca Roversi:
Introducing Yet Another REversible Language. - Xu Zhao, Zongli Jiang:
A Tangent Distance Preserving Dimensionality Reduction Algorithm. - Guangcun Shan, Hongyu Wang, Wei Liang:
Robust Encoder-Decoder Learning Framework towards Offline Handwritten Mathematical Expression Recognition Based on Multi-Scale Deep Neural Network. - Yuxuan Liang, Kun Ouyang, Lin Jing, Sijie Ruan, Ye Liu, Junbo Zhang, David S. Rosenblum, Yu Zheng:
UrbanFM: Inferring Fine-Grained Urban Flows. - Manuel Lagunas, Elena Garces, Diego Gutierrez:
Learning icons appearance similarity. - Greg Olmschenk, Hao Tang, Zhigang Zhu:
Improving Dense Crowd Counting Convolutional Neural Networks using Inverse k-Nearest Neighbor Maps and Multiscale Upsampling. - Xudong Liu, Tao Li, Hao Peng, Iris Chuoying Ouyang, Taehwan Kim, Ruizhe Wang:
Understanding Beauty via Deep Facial Features. - Andrej Jokic, Nikola Vukovic:
License Plate Recognition with Compressive Sensing Based Feature Extraction. - Seth Zuckerman, Timothy Klein, Alexander Boxer, Christopher Goldman, Brian Lang:
Simultaneous x, y Pixel Estimation and Feature Extraction for Multiple Small Objects in a Scene: A Description of the ALIEN Network. - Slavko Kovacevic, Vuko Djaletic, Jelena Vukovic:
Face Recognition using Compressive Sensing. - Dejan Brajovic, Kristina Tomovic, Jovan Radonjic:
Fingerprint Recognition under Missing Image Pixels Scenario. - Abhishek Kumar Gangwar, Akanksha Joshi, Padmaja Joshi, Ramachandra Raghavendra:
DeepIrisNet2: Learning Deep-IrisCodes from Scratch for Segmentation-Robust Visible Wavelength and Near Infrared Iris Recognition. - Arya Pamuncak, Weisi Guo, Ahmed Soliman Khaled, Irwanda Laory:
Deep Learning for Bridge Load Capacity Estimation in Post-Disaster and -Conflict Zones. - Talmaj Marinc, Vignesh Srinivasan, Serhan Gül, Cornelius Hellge, Wojciech Samek:
Multi-Kernel Prediction Networks for Denoising of Burst Images. - Guoqiang Zhang, Haopeng Li, Fabian Wenger:
Object Detection and 3D Estimation via an FMCW Radar Using a Fully Convolutional Network. - Wanming Huang, Yida Xu, Ian J. Oppermann:
Realistic Image Generation using Region-phrase Attention. - Krishna Chaitanya, Neerav Karani, Christian F. Baumgartner, Olivio Donati, Anton S. Becker, Ender Konukoglu:
Semi-Supervised and Task-Driven Data Augmentation. - Yuelong Li, Mohammad Tofighi, Vishal Monga, Yonina C. Eldar:
An Algorithm Unrolling Approach to Deep Image Deblurring. - Shayan Jawed, Eya Boumaiza, Josif Grabocka, Lars Schmidt-Thieme:
Data-Driven Vehicle Trajectory Forecasting. - Thiago V. M. Souza, Cleber Zanchettin:
Improving Deep Image Clustering With Spatial Transformer Layers. - James M. Murphy, Mauro Maggioni:
Spectral-Spatial Diffusion Geometry for Hyperspectral Image Clustering. - Bob D. de Vos, Jelmer M. Wolterink, Tim Leiner, Pim A. de Jong, Nikolas Leßmann, Ivana Isgum:
Direct Automatic Coronary Calcium Scoring in Cardiac and Chest CT. - Ram Krishna Pandey, Souvik Karmakar, A. G. Ramakrishnan, Nabagata Saha:
Improving Facial Emotion Recognition Systems Using Gradient and Laplacian Images. - Fanbo Sun, Zhixiang Gu, Bo Feng:
Yelp Food Identification via Image Feature Extraction and Classification. - Marc Aubreville, Christof A. Bertram, Christian Marzahl, Corinne Gurtner, Martina Dettwiler, Anja Schmidt, Florian Bartenschlager, Sophie Merz, Marco Fragoso, Olivia Kershaw, Robert Klopfleisch, Andreas Maier:
Field of Interest Prediction for Computer-Aided Mitotic Count. - Alexandru Iosup, Laurens Versluis, Animesh Trivedi, Erwin Van Eyk, Lucian Toader, Vincent van Beek, Giulia Frascaria, Ahmed Musaafir, Sacheendra Talluri:
The AtLarge Vision on the Design of Distributed Systems and Ecosystems. - Félicie Faizand de Maupeou:
The artist libraries project. - Sijia Chen, Bin Song, Xiaojiang Du, Nadra Guizani:
Structured Bayesian Compression for Deep models in mobile enabled devices for connected healthcare. - Siyan Tao, Yao Guo, Chuang Zhu, Huang Chen, Yue Zhang, Jie Yang, Jun Liu:
Highly Efficient Follicular Segmentation in Thyroid Cytopathological Whole Slide Image. - Thomas Lidbetter:
Search and Rescue in the Face of Uncertain Threats. - Swetava Ganguli, Jared Dunnmon, Darren Hau:
Predicting Food Security Outcomes Using Convolutional Neural Networks (CNNs) for Satellite Tasking. - Himanshu Arora, Raghavan Komondoor, G. Ramalingam:
Checking Observational Purity of Procedures. - Sirin Haddad, Meiqing Wu, He Wei, Siew Kei Lam:
Situation-Aware Pedestrian Trajectory Prediction with Spatio-Temporal Attention Model. - Jorge Dávila-Chacón, Jindong Liu, Stefan Wermter:
Enhanced Robot Speech Recognition Using Biomimetic Binaural Sound Source Localization. - Robert Kleinberg, Kevin Leyton-Brown, Brendan Lucier, Devon R. Graham:
Procrastinating with Confidence: Near-Optimal, Anytime, Adaptive Algorithm Configuration. - Shuangyi Wang, James Housden, Yohan Noh, Davinder Singh, Anisha Singh, Emily Skelton, Jacqueline Matthew, Cornelius Tan, Junghwan Back, Lukas Lindenroth, Alberto Gómez, Nicolas Toussaint, Veronika A. M. Zimmer, Caroline Knight, Tara P. Fletcher, David Lloyd, John M. Simpson, Dharmintra Pasupathy, Hongbin Liu, Kaspar Althoefer, Joseph V. Hajnal, Reza Razavi, Kawal S. Rhode:
Robotic-assisted Ultrasound for Fetal Imaging: Evolution from Single-arm to Dual-arm System. - Pengfei Su, Shasha Wen, Hailong Yang, Milind Chabbi, Xu Liu:
Redundant Loads: A Software Inefficiency Indicator. - Daco Harkes:
We should Stop Claiming Generality in our Domain-Specific Language Papers. - Mario Alvarez-Picallo, C.-H. Luke Ong:
Change Actions: Models of Generalised Differentiation. - Fidelis Zanetti de Castro, Marcos Eduardo Valle:
A Broad Class of Discrete-Time Hypercomplex-Valued Hopfield Neural Networks. - Tanja Katharina Kaiser, Heiko Hamann:
Engineered Self-Organization for Resilient Robot Self-Assembly with Minimal Surprise. - Augusto Modanese:
Complexity-Theoretic Aspects of Expanding Cellular Automata. - Ke Yang, Xiaolong Shen, Peng Qiao, Shijie Li, Dongsheng Li, Yong Dou:
Exploring Frame Segmentation Networks for Temporal Action Localization. - Colin Samplawski, Heesung Kwon, Erik G. Learned-Miller, Benjamin M. Marlin:
Integrating Propositional and Relational Label Side Information for Hierarchical Zero-Shot Image Classification. - Thomio Watanabe, Denis F. Wolf:
Instance Segmentation as Image Segmentation Annotation. - Maxim Berman, Hervé Jégou, Andrea Vedaldi, Iasonas Kokkinos, Matthijs Douze:
MultiGrain: a unified image embedding for classes and instances. - Brian Cheung, Alexander Terekhov, Yubei Chen, Pulkit Agrawal, Bruno A. Olshausen:
Superposition of many models into one. - Ricardo Augusto Borsoi, Tales Imbiriba, José Carlos Moreira Bermudez:
Deep Generative Endmember Modeling: An Application to Unsupervised Spectral Unmixing. - Elli Anastasiadi, Antonis Antonopoulos, Aris Pagourtzis, Stavros Petsalakis:
Parameterized Fine-Grained Reductions. - Vinay A. Vaishampayan:
Classification in a Large Network. - Mario Gleirscher, Stefan Kugele:
Assurance of System Safety: A Survey of Design and Argument Patterns. - Arnaud Carayol, Stefan Göller:
On long words avoiding Zimin patterns. - Tianhe Yu, Gleb Shevchuk, Dorsa Sadigh, Chelsea Finn:
Unsupervised Visuomotor Control through Distributional Planning Networks. - Deepak Pathak, Christopher Lu, Trevor Darrell, Phillip Isola, Alexei A. Efros:
Learning to Control Self-Assembling Morphologies: A Study of Generalization via Modularity. - Gang Chen, Yiming Peng:
Off-Policy Actor-Critic in an Ensemble: Achieving Maximum General Entropy and Effective Environment Exploration in Deep Reinforcement Learning. - Junmei Lv, Bin Song, Jie Guo, Xiaojiang Du, Mohsen Guizani:
Interest-Related Item Similarity Model Based on Multimodal Data for Top-N Recommendation. - Kanika Narang, Austin Chung, Hari Sundaram, Snigdha Chaturvedi:
Discovering Archetypes to Interpret Evolution of Individual Behavior. - Lixin Zou, Long Xia, Zhuoye Ding, Jiaxing Song, Weidong Liu, Dawei Yin:
Reinforcement Learning to Optimize Long-term User Engagement in Recommender Systems. - Jacob Anderson:
Fully Convolutional Networks for Text Classification. - Aakash Khochare, Aravindhan Krishnan, Yogesh Simmhan:
A Scalable Framework for Distributed Object Tracking across a Many-camera Network. - Wenju Xu, Shawn Shahriar Keshmiri, Guanghui Wang:
Adversarially Approximated Autoencoder for Image Generation and Manipulation. - Hongxu Yang, Caifeng Shan, Alexander F. Kolen, Peter H. N. de With:
Improving Catheter Segmentation & Localization in 3D Cardiac Ultrasound Using Direction-Fused FCN. - Cody Burkard, Brent Lagesse:
Can Intelligent Hyperparameter Selection Improve Resistance to Adversarial Examples? - Guy Aridor, Kevin Liu, Aleksandrs Slivkins, Zhiwei Steven Wu:
Competing Bandits: The Perils of Exploration under Competition. - Aleksandar S. Dimovski, Axel Legay, Andrzej Wasowski:
Variability Abstraction and Refinement for Game-based Lifted Model Checking of full CTL (Extended Version). - Utkarsh Gupta, Preey Shah, S. Akshay, Piotr Hofman:
Continuous Reachability for Unordered Data Petri nets is in PTime. - Aditya Bhatt, Daniel Palenicek, Boris Belousov, Max Argus, Artemij Amiranashvili, Thomas Brox, Jan Peters:
CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity. - Deepjyoti Deka, Sidhant Misra:
Learning for DC-OPF: Classifying active sets using neural nets. - Bogdan Penkovsky, Xavier Porte, Maxime Jacquot, Laurent Larger, Daniel Brunner:
Coupled nonlinear delay systems as deep convolutional neural networks. - Swetava Ganguli, Pedro Garzon, Noa Glaser:
GeoGAN: A Conditional GAN with Reconstruction and Style Loss to Generate Standard Layer of Maps from Satellite Images. - Shuai Huang, Sidharth Gupta, Ivan Dokmanic:
Solving Complex Quadratic Systems with Full-Rank Random Matrices. - Chao Li, Balaji Palanisamy:
Decentralized Privacy-preserving Timed Execution in Blockchain-based Smart Contract Platforms. - Ashish Agarwal, Kedar Dhamdhere, Mukund Sundararajan:
A New Interaction Index inspired by the Taylor Series. - Chao Li, Balaji Palanisamy:
Decentralized Release of Self-emerging Data using Smart Contracts. - Eoin Brophy, Zhengwei Wang, Tomas E. Ward:
Quick and Easy Time Series Generation with Established Image-based GANs. - Binhang Yuan, Chen Wang, Fei Jiang, Mingsheng Long, Philip S. Yu, Yuan Liu:
WaveletFCNN: A Deep Time Series Classification Model for Wind Turbine Blade Icing Detection. - Rupak Majumdar, Nir Piterman, Anne-Kathrin Schmuck:
Environmentally-friendly GR(1) Synthesis. - Jomara Sandbulte, Jessica Kropczynski, John M. Carroll:
Using Key Player Analysis as a Method for Examining the Role of Community Animators in Technology Adoption. - Nathan Fulton, André Platzer:
Verifiably Safe Off-Model Reinforcement Learning. - Abhinav Mishra:
Distributed Processes and Scalability in Sub-networks of Large-Scale Networks. - Abhinav Mishra:
Finding Nearest Neighbors in graphs locally. - Ji-You Huang, Hsiao-feng Francis Lu:
Achieving Large Sum Rate and Good Fairness in MISO Broadcast Communication. - Macheng Shen, Jonathan P. How:
Active Perception in Adversarial Scenarios using Maximum Entropy Deep Reinforcement Learning. - Reza Banirazi, Edmond A. Jonckheere, Bhaskar Krishnamachari:
Heat-Diffusion: Pareto Optimal Dynamic Routing for Time-Varying Wireless Networks. - James E. Kostas, Chris Nota, Philip S. Thomas:
Asynchronous Coagent Networks: Stochastic Networks for Reinforcement Learning without Backpropagation or a Clock. - James D. Currie:
Finite test sets for morphisms which are square-free on some of Thue's square-free ternary words. - Muhammad Ali Chattha, Shoaib Ahmed Siddiqui, Muhammad Imran Malik, Ludger van Elst, Andreas Dengel, Sheraz Ahmed:
KINN: Incorporating Expert Knowledge in Neural Networks. - Yinchuan Li, Xiaodong Wang, Zegang Ding:
Multi-target Position and Velocity Estimation Using OFDM Communication Signals. - Fouzia Altaf, Syed M. S. Islam, Naveed Akhtar, Naeem Khalid Janjua:
Going Deep in Medical Image Analysis: Concepts, Methods, Challenges and Future Directions. - Somdip Dey, Amit Kumar Singh, Dilip K. Prasad, Klaus D. McDonald-Maier:
TMAV: Temporal Motionless Analysis of Video using CNN in MPSoC. - Margret Keuper, Maneesh Singh, Julian Yarkony:
Massively Parallel Benders Decomposition for Correlation Clustering. - Meet Shah, Xinlei Chen, Marcus Rohrbach, Devi Parikh:
Cycle-Consistency for Robust Visual Question Answering. - Hao Zhu, Mantang Guo, Hongdong Li, Qing Wang, Antonio Robles-Kelly:
Breaking the Spatio-Angular Trade-off for Light Field Super-Resolution via LSTM Modelling on Epipolar Plane Images. - Paul Cohen:
Probabilistic Relational Agent-based Models. - Koki Hamada, Shuichi Miyazaki, Hiroki Yanagisawa:
Strategy-Proof Approximation Algorithms for the Stable Marriage Problem with Ties and Incomplete Lists. - Sarwat Nizamani, Nasrullah Memon, Azhar Ali Shah, Sehrish Nizamani, Saad Nizamani, Imdad Ali Ismaili:
Crime Analysis using Open Source Information. - Zhiming Zhou, Jiadong Liang, Yuxuan Song, Lantao Yu, Hongwei Wang, Weinan Zhang, Yong Yu, Zhihua Zhang:
Lipschitz Generative Adversarial Nets. - Dinesha Ranathunga, Matthew Roughan, Paul Tune, Phil Kernick, Nick Falkner:
ForestFirewalls: Getting Firewall Configuration Right in Critical Networks (Technical Report). - Qian Lou, Lantao Liu, Minje Kim, Lei Jiang:
AutoQB: AutoML for Network Quantization and Binarization on Mobile Devices. - Sarwat Nizamani, Saad Nizamani, Sehrish Nizamani, Imdad Ali Ismaili:
On the computational models for the analysis of illicit activities. - Wenming Yang, Wei Wang, Xuechen Zhang, Shuifa Sun, Qingmin Liao:
Lightweight Feature Fusion Network for Single Image Super-Resolution. - Hao Hu, Liqiang Wang, Guo-Jun Qi:
Learning to Adaptively Scale Recurrent Neural Networks. - Sung-Kyun Kim, Rohan Thakker, Ali-akbar Agha-mohammadi:
Bi-directional Value Learning for Risk-aware Planning Under Uncertainty. - Sandeep Chinchali, Apoorva Sharma, James Harrison, Amine Elhafsi, Daniel Kang, Evgenya Pergament, Eyal Cidon, Sachin Katti, Marco Pavone:
Network Offloading Policies for Cloud Robotics: a Learning-based Approach. - Jibin Wu, Yansong Chua, Malu Zhang, Qu Yang, Guoqi Li, Haizhou Li:
Deep Spiking Neural Network with Spike Count based Learning Rule. - Shirin Jalali, Carl J. Nuzman, Iraj Saniee:
Efficient Deep Learning of GMMs. - Shalini Ghosh, Giedrius Burachas, Arijit Ray, Avi Ziskind:
Generating Natural Language Explanations for Visual Question Answering using Scene Graphs and Visual Attention. - Justinas Miseikis, Inka Brijacak, Saeed Yahyanejad, Kyrre Glette, Ole Jakob Elle, Jim Tørresen:
Two-Stage Transfer Learning for Heterogeneous Robot Detection and 3D Joint Position Estimation in a 2D Camera Image using CNN. - Etienne Grandjean, Théo Grente:
Descriptive complexity for minimal time of cellular automata. - Alexey Tikhonov:
On Double-Sided QR-Codes. - Milan Ceska, Nils Jansen, Sebastian Junges, Joost-Pieter Katoen:
Shepherding Hordes of Markov Chains. - Jingyuan Wang, Kai Feng, Junjie Wu:
SVM-based Deep Stacking Networks. - Xuanhua Shi, Wei Liu, Ligang He, Hai Jin, Ming Li, Yong Chen:
Optimizing the SSD Burst Buffer by Traffic Detection. - Isaac Fernández-Varela, Elena Hernández-Pereira, Diego Álvarez-Estévez, Vicente Moret-Bonillo:
A Convolutional Network for Sleep Stages Classification. - Dayana Ribas, Emmanuel Vincent:
An improved uncertainty propagation method for robust i-vector based speaker recognition. - Simone Barlocco, Clemens Kupke, Jurriaan Rot:
Coalgebra Learning via Duality. - Baosong Yang, Jian Li, Derek F. Wong, Lidia S. Chao, Xing Wang, Zhaopeng Tu:
Context-Aware Self-Attention Networks. - Zi-Yi Dou, Zhaopeng Tu, Xing Wang, Longyue Wang, Shuming Shi, Tong Zhang:
Dynamic Layer Aggregation for Neural Machine Translation with Routing-by-Agreement. - Uddipana Dowerah, Srinivasan Krishnaswamy:
A Somewhat Homomorphic Encryption Scheme based on Multivariate Polynomial Evaluation. - Zhengwei Bai, Baigen Cai, Wei ShangGuan, Linguo Chai:
Deep Reinforcement Learning Based High-level Driving Behavior Decision-making Model in Heterogeneous Traffic. - Efi Kokiopoulou, Anja Hauth, Luciano Sbaiz, Andrea Gesmundo, Gábor Bartók, Jesse Berent:
Fast Task-Aware Architecture Inference. - Yuhui Wang, Hao He, Xiaoyang Tan:
Robust Reinforcement Learning in POMDPs with Incomplete and Noisy Observations. - Damilola Ibosiola, Ignacio Castro, Gianluca Stringhini, Steve Uhlig, Gareth Tyson:
Who Watches the Watchmen: Exploring Complaints on the Web. - Dmitry Kobak, George C. Linderman, Stefan Steinerberger, Yuval Kluger, Philipp Berens:
Heavy-tailed kernels reveal a finer cluster structure in t-SNE visualisations. - Louis-Claude Canon, Mohamad El Sayah, Pierre-Cyrille Héam:
A Comparison of Random Task Graph Generation Methods for Scheduling Problems. - Qiao Zheng, Hervé Delingette, Kenneth Fung, Steffen E. Petersen, Nicholas Ayache:
Unsupervised shape and motion analysis of 3822 cardiac 4D MRIs of UK Biobank. - Rui Cao, Qian Zhang, Jiasong Zhu, Qing Li, Qingquan Li, Bozhi Liu, Guoping Qiu:
Enhancing Remote Sensing Image Retrieval with Triplet Deep Metric Learning Network. - Nathan Kallus, Angela Zhou:
The Fairness of Risk Scores Beyond Classification: Bipartite Ranking and the xAUC Metric. - John E. Dorband:
Applying Multi-qubit Correction to Frustrated Cluster Loops on an Adiabatic Quantum Computer. - Nikolaos Gkanatsios, Vassilis Pitsikalis, Petros Koutras, Athanasia Zlatintsi, Petros Maragos:
Deeply Supervised Multimodal Attentional Translation Embeddings for Visual Relationship Detection. - Karina Macedo, Marcelo Marinho, Simone Santos:
Uncertainty Management in Software Projects: A Case Study in a Public Company. - Jesse Geneson, Carl Joshua Quines, Espen Slettnes, Shen-Fu Tsai:
Expected capture time and throttling number for cop versus gambler. - Abhinav Jangda, Donald Pinckney, Samuel Baxter, Breanna Devore-McDonald, Joseph Spitzer, Yuriy Brun, Arjun Guha:
Formal Foundations of Serverless Computing. - Bharathkumar Ramachandra, Michael J. Jones:
Street Scene: A new dataset and evaluation protocol for video anomaly detection. - Balaji Arun, Sebastiano Peluso, Binoy Ravindran:
Spectrum: A Framework for Adapting Consensus Protocols. - Olivier Bousquet, Daniel Kane, Shay Moran:
The Optimal Approximation Factor in Density Estimation. - Ahmed Al-Herz, Alex Pothen:
A 2/3-Approximation Algorithm for Vertex-weighted Matching. - Luca Carlone, Carlo Pinciroli:
Robot Co-design: Beyond the Monotone Case. - Haina Zheng, Ke Xiong, Pingyi Fan, Zhangdui Zhong, Khaled Ben Letaief:
Fog-Assisted Multi-User SWIPT Networks: Local Computing or Offloading. - Andreas Krebs, Kamal Lodaya, Paritosh K. Pandya, Howard Straubing:
Two-variable logics with some betweenness relations: Expressiveness, satisfiability and membership. - Naimul Mefraz Khan, Nabila Abraham, Ling Guan:
Machine Learning on Biomedical Images: Interactive Learning, Transfer Learning, Class Imbalance, and Beyond. - Egor Ianovski:
Electing a committee with constraints. - Michelle Feng, Mason A. Porter:
Persistent Homology of Geospatial Data: A Case Study with Voting. - Shuwei Zhou, Timon Rabczuk, Xiaoying Zhuang:
Phase field modeling of quasi-static and dynamic crack propagation: COMSOL implementation and case studies. - Nikolaus Binder, Sascha Fricke, Alexander Keller:
Massively Parallel Path Space Filtering. - Viorel D. Silaghi, Marius-Calin Silaghi, René Mandiau:
Privacy of Existence of Secrets: Introducing Steganographic DCOPs and Revisiting DCOP Frameworks. - Beniamino Accattoli, Giulio Guerrieri, Maico Leberle:
Types by Need (Extended Version). - Mohamed El Yafrani, Marcella S. R. Martins, Myriam Regattieri de Biase da Silva Delgado, Inkyung Sung, Ricardo Lüders, Markus Wagner:
On resampling vs. adjusting probabilistic graphical models in estimation of distribution algorithms. - Fereshteh Sadeghi:
DIViS: Domain Invariant Visual Servoing for Collision-Free Goal Reaching. - Hesham Mostafa, Xin Wang:
Parameter Efficient Training of Deep Convolutional Neural Networks by Dynamic Sparse Reparameterization. - Seyed Esmaeil Mirvakili, MohammadAmin Fazli, Jafar Habibi:
Reactive Liquid: Optimized Liquid Architecture for Elastic and Resilient Distributed Data Processing. - Vincent T. Lee, Archibald Samuel Elliott, Armin Alaghi, Luis Ceze:
Synthesizing Number Generators for Stochastic Computing using Mixed Integer Programming. - Hasan Ferit Eniser, Simos Gerasimou, Alper Sen:
DeepFault: Fault Localization for Deep Neural Networks. - Kung-Ching Lin:
Adapted Decimation on Finite Frames for Arbitrary Orders of Sigma-Delta Quantization. - Baris Gecer, Stylianos Ploumpis, Irene Kotsia, Stefanos Zafeiriou:
GANFIT: Generative Adversarial Network Fitting for High Fidelity 3D Face Reconstruction. - Marko Mitrovic, Ehsan Kazemi, Moran Feldman, Andreas Krause, Amin Karbasi:
Adaptive Sequence Submodularity. - Binbin Liu, Qilong Zheng:
Realize special instructions on clustering VLIW DSP: multiplication-accumulation instruction. - Ravi Mangal, Aditya V. Nori, Alessandro Orso:
Robustness of Neural Networks: A Probabilistic and Practical Approach. - Dominique Boullier:
Replications in quantitative and qualitative methods: a new era for commensurable digital social sciences. - Timothy Curry, Devon Callahan, Benjamin Fuller, Laurent Michel:
DOCSDN: Dynamic and Optimal Configuration of Software-Defined Networks. - Brandon Foggo, Nanpeng Yu, Jie Shi, Yuanqi Gao:
Asymptotic Finite Sample Information Losses in Neural Classifiers. - Arash Einolghozati, Panupong Pasupat, Sonal Gupta, Rushin Shah, Mrinal Mohit, Mike Lewis, Luke Zettlemoyer:
Improving Semantic Parsing for Task Oriented Dialog. - Matthew Aldridge, Oliver Johnson, Jonathan Scarlett:
Group testing: an information theory perspective. - Noah A. Smith:
Contextual Word Representations: A Contextual Introduction. - Andrew Silva, Matthew C. Gombolay:
ProLoNets: Neural-encoding Human Experts' Domain Knowledge to Warm Start Reinforcement Learning. - Jie Liang, Zhiyong Chen, Cheng Li, Bin Xia, Ning Liu:
Delay Outage Probability of Multi-relay Selection for Mobile Relay Edge Computing Systems. - Yao Xie, Ge Gao, Xiang 'Anthony' Chen:
Outlining the Design Space of Explainable Intelligent Systems for Medical Diagnosis. - Ronan Collobert, Awni Y. Hannun, Gabriel Synnaeve:
A Fully Differentiable Beam Search Decoder. - JiaQi Wu, Ryan Compton, Geetanjali Rakshit, Marilyn A. Walker, Pranav Anand, Steve Whittaker:
CruzAffect at AffCon 2019 Shared Task: A feature-rich approach to characterize happiness. - Sebastian A. Nugroho, Ahmad F. Taha, Junjian Qi:
Characterizing the Nonlinearity of Power System Generator Models. - Michihiro Yasunaga, John Lafferty:
TopicEq: A Joint Topic and Mathematical Equation Model for Scientific Texts. - Kaigui Bian, Lin Chen, Yuanxing Zhang, Jung-Min Park, Xiaojiang Du, Xiaoming Li:
Heterogeneous Coexistence of Cognitive Radio Networks in TV White Space. - Yanchen Deng, Ziyu Chen, Dingding Chen, Xingqiong Jiang, Qiang Li:
PT-ISABB: A Hybrid Tree-based Complete Algorithm to Solve Asymmetric Distributed Constraint Optimization Problems. - William McDoniel, Paolo Bientinesi:
A Timer-Augmented Cost Function for Load Balanced DSMC. - Jiangmiao Pang, Cong Li, Jianping Shi, Zhihai Xu, Huajun Feng:
$\mathcal{R}^2$-CNN: Fast Tiny Object Detection in Large-scale Remote Sensing Images. - Silvija Kokalj-Filipovic, Rob Miller:
Adversarial Examples in RF Deep Learning: Detection of the Attack and its Physical Robustness. - Khuong Vo, Tri Nguyen, Dang Pham, Mao Nguyen, Minh Truong, Trung Mai, Tho Quan:
Combination of Domain Knowledge and Deep Learning for Sentiment Analysis of Short and Informal Messages on Social Media. - Ankush Das, Stephanie Balzer, Jan Hoffmann, Frank Pfenning:
Resource-Aware Session Types for Digital Contracts. - Fang Wan, Pengxu Wei, Zhenjun Han, Jianbin Jiao, Qixiang Ye:
Min-Entropy Latent Model for Weakly Supervised Object Detection. - Devansh Bisla, Anna Choromanska, Jennifer A. Stein, David Polsky, Russell S. Berman:
Skin Lesion Segmentation and Classification with Deep Learning System. - Varshaneya V, S. Balasubramanian, Darshan Gera:
RES-SE-NET: Boosting Performance of Resnets by Enhancing Bridge-connections. - Yu Feng, Emina Torlak, Rastislav Bodík:
Precise Attack Synthesis for Smart Contracts. - Zhihao Wang, Jian Chen, Steven C. H. Hoi:
Deep Learning for Image Super-resolution: A Survey. - James Goodman:
Re-determinizing Information Set Monte Carlo Tree Search in Hanabi. - Christian Lessig:
Local Fourier Slice Photography. - Meiyu Li, Michael D. Chan, Xiaobo Zhou, Xiaohua Qian:
DC-Al GAN: Pseudoprogression and True Tumor Progression of Glioblastoma multiform Image Classification Based On DCGAN and Alexnet. - Andrzej Pelc, Ram Narayan Yadav:
Cost vs. Information Tradeoffs for Treasure Hunt in the Plane. - Sangarshanan Veeraraghavan:
Exploring Language Similarities with Dimensionality Reduction Technique. - Lyudmila Grigoryeva, Juan-Pablo Ortega:
Differentiable reservoir computing. - Aniket Kate, Andrew Miller, Tom Yurek:
Brief Note: Asynchronous Verifiable Secret Sharing with Optimal Resilience and Linear Amortized Overhead. - Andreas Abel, Christian Sattler:
Normalization by Evaluation for Call-by-Push-Value and Polarized Lambda-Calculus. - Qilin Li, Senjian An, Ling Li, Wanquan Liu:
Semi-supervised Learning on Graph with an Alternating Diffusion Process. - Valentin P. Bakoev:
Combinatorial and Algorithmic Properties of One Matrix Structure at Monotone Boolean Functions. - Andrew Scott, Johannes Bader, Satish Chandra:
Getafix: Learning to fix bugs automatically. - Olivier Rioul:
Transportation Proofs of Rényi Entropy Power Inequalities. - Alvise De Biasio, Federico Chiariotti, Michele Polese, Andrea Zanella, Michele Zorzi:
A QUIC Implementation for ns-3. - Nicola Gigante:
Timeline-based planning: Expressiveness and Complexity. - Alain Rakotomamonjy, Gilles Gasso, Joseph Salmon:
Screening Rules for Lasso with Non-Convex Sparse Regularizers. - Suvadeep Hajra:
Making Convex Loss Functions Robust to Outliers using $e$-Exponentiated Transformation. - Diane Genest, Marc Léonard, Jean Cousty, Noémie De Crozé, Hugues Talbot:
Atlas-based automated detection of swim bladder in Medaka embryo. - Nicholas Hyldmar, Yijun He, Amanda Prorok:
A Fleet of Miniature Cars for Experiments in Cooperative Driving. - Anas El Ankouri, Luiz Anet Neto, Gaël Simon, Hugues Le Bras, Ali Sanhaji, Philippe Chanclou:
High-Speed Train Cell-less Network Enabled by XGS-PON and Impacts on vRAN Split Interface Transmission. - James J. Cusick:
The First 50 Years of Software Reliability Engineering: A History of SRE with First Person Accounts. - Theofanis P. Raptis, Andrea Passarella, Marco Conti:
Data Management in Networked Industrial Environments: State of the Art and Open Challenges. - Peter T. Breuer:
Compiled Obfuscation for Data Structures in Encrypted Computing. - Gencer Sumbul, Marcela Charfuelan, Begüm Demir, Volker Markl:
BigEarthNet: A Large-Scale Benchmark Archive For Remote Sensing Image Understanding. - Bin Li, Jia Liu:
Can We Achieve Fresh Information with Selfish Users in Mobile Crowd-Learning? - Jos van de Wolfshaar, Andrzej Pronobis:
Deep Convolutional Sum-Product Networks for Probabilistic Image Representations. - Moran Baruch, Gilad Baruch, Yoav Goldberg:
A Little Is Enough: Circumventing Defenses For Distributed Learning. - Shuyu Lin, Ronald Clark, Robert Birke, Niki Trigoni, Stephen J. Roberts:
WiSE-VAE: Wide Sample Estimator VAE. - Longlong Jing, Yingli Tian:
Self-supervised Visual Feature Learning with Deep Neural Networks: A Survey. - Maximilian Balmus, André Massing, Johan Hoffman, Reza Razavi, David Nordsletten:
A partition of unity approach to fluid mechanics and fluid-structure interaction. - Jack H. Lutz, Neil Lutz, Robyn R. Lutz, Matthew R. Riley:
Robustness and Games Against Nature in Molecular Programming. - Yu Han, Qi Liu, Chao-Kai Wen, Shi Jin, Kai-Kit Wong:
FDD Massive MIMO Based on Efficient Downlink Channel Reconstruction. - Marlo Souza, Álvaro F. Moreira, Renata Vieira:
Iterated Belief Base Revision: A Dynamic Epistemic Logic Approach. - Alan Kuhnle:
Nearly Linear-Time, Deterministic Algorithm for Maximizing (Non-Monotone) Submodular Functions Under Cardinality Constraint. - Mohammadreza Javanmardi, Xiaojun Qi:
Structured Group Local Sparse Tracker. - Chih-Ming Chen, Chuan-Ju Wang, Ming-Feng Tsai, Yi-Hsuan Yang:
Collaborative Similarity Embedding for Recommender Systems. - Chris Ying:
Enumerating Unique Computational Graphs via an Iterative Graph Invariant. - Soodeh Atefi, Mohammad Amin Alipour:
An Automated Testing Framework for Conversational Agents. - Fuchun Lin, Mahdi Cheraghchi, Venkatesan Guruswami, Reihaneh Safavi-Naini, Huaxiong Wang:
Non-Malleable Secret Sharing against Affine Tampering. - Thijs Laarhoven:
Nearest neighbor decoding for Tardos fingerprinting codes. - Sanli Tang, Fan He, Xiaolin Huang, Jie Yang:
Online PCB Defect Detector On A New PCB Defect Dataset. - Bai Li, Youmin Zhang, Fengqian Dou, Yi Liu:
Real-Time Trajectory Planning for AGV in the Presence of Moving Obstacles: A First-Search-Then-Optimization Approach. - Sarah Tymochko, Elizabeth Munch, Jason Dunion, Kristen Corbosiero, Ryan Torn:
Using Persistent Homology to Quantify a Diurnal Cycle in Hurricane Felix. - Albert Haque:
Twitch Plays Pokemon, Machine Learns Twitch: Unsupervised Context-Aware Anomaly Detection for Identifying Trolls in Streaming Data. - Xing He, Lei Chu, Robert C. Qiu, Qian Ai, Wentao Huang:
Data-driven Estimation of the Power Flow Jacobian Matrix in High Dimensional Space. - Shuping Dang, Guoqing Ma, Basem Shihada, Mohamed-Slim Alouini:
A Novel Error Performance Analysis Methodology for OFDM-IM. - Hongyin Ni, Bin Lia:
Fast Pedestrian Detection based on T-CENTRIST. - Gaochang Wu, Yebin Liu, Lu Fang, Tianyou Chai:
LapEPI-Net: A Laplacian Pyramid EPI structure for Learning-based Dense Light Field Reconstruction. - Weize Quan, Dong-Ming Yan, Kai Wang, Xiaopeng Zhang, Denis Pellerin:
Detecting Colorized Images via Convolutional Neural Networks: Toward High Accuracy and Good Generalization. - Alon Cohen, Tomer Koren, Yishay Mansour:
Learning Linear-Quadratic Regulators Efficiently with only $\sqrt{T}$ Regret. - Michele Polese, Tommaso Zugno, Michele Zorzi:
Implementation of Reference Public Safety Scenarios in ns-3. - Jintao Ke, Feng Xiao, Hai Yang, Jieping Ye:
Optimizing Online Matching for Ride-Sourcing Services with Multi-Agent Deep Reinforcement Learning. - Aaron Tuor, Fnu Anubhav, Lauren Charles:
Multiple Document Representations from News Alerts for Automated Bio-surveillance Event Detection. - Yixin Cao, Xiang Wang, Xiangnan He, Zikun Hu, Tat-Seng Chua:
Unifying Knowledge Graph Learning and Recommendation: Towards a Better Understanding of User Preferences. - Babak Badnava, Nasser Mozayani:
A new Potential-Based Reward Shaping for Reinforcement Learning Agent. - Omar Al-Harbi:
A Comparative Study of Feature Selection Methods for Dialectal Arabic Sentiment Classification Using Support Vector Machine. - Nick Gravin, Hongao Wang:
Prophet inequality for bipartite matching: merits of being simple and non adaptive. - Philip Sieder:
A Lower Bound for Primality of Finite Languages. - Guang-Yu Nie, Yun Liu, Cong Wang, Yue Liu, Yongtian Wang:
Exploring Stereovision-Based 3-D Scene Reconstruction for Augmented Reality. - De Xie, Muli Yang, Cheng Deng, Wei Liu, Dacheng Tao:
Fully-Featured Attribute Transfer. - Jet-Tsyn Lee, Danushka Bollegala, Shan Luo:
"Touching to See" and "Seeing to Feel": Robotic Cross-modal SensoryData Generation for Visual-Tactile Perception. - Ananth Narayan Samudrala, M. Hadi Amini, Soummya Kar, Rick S. Blum:
Sensor Placement for Outage Identifiability in Power Distribution Networks. - Mladen Kovacevic:
Zero-Error Capacity of Duplication Channels. - Philippe Wenk, Gabriele Abbati, Stefan Bauer, Michael A. Osborne, Andreas Krause, Bernhard Schölkopf:
ODIN: ODE-Informed Regression for Parameter and State Inference in Time-Continuous Dynamical Systems. - Nyyti Saarimäki, Francesco Lomio, Valentina Lenarduzzi, Davide Taibi:
Does Migrate a Monolithic System to Microservices Decreases the Technical Debt? - Arash Kalatian, Bilal Farooq:
A semi-supervised deep residual network for mode detection in Wi-Fi signals. - Xialei Liu, Joost van de Weijer, Andrew D. Bagdanov:
Exploiting Unlabeled Data in CNNs by Self-supervised Learning to Rank. - Nikolaj Volgushev, Malte Schwarzkopf, Ben Getchell, Mayank Varia, Andrei Lapets, Azer Bestavros:
Conclave: secure multi-party computation on big data (extended TR). - Zhen Mei, Kui Cai, Xingwei Zhong:
Neural Network-Based Dynamic Threshold Detection for Non-Volatile Memories. - Sercan Ömer Arik, Tomas Pfister:
Attention-Based Prototypical Learning Towards Interpretable, Confident and Robust Deep Neural Networks. - Chiranjib Saha, Harpreet S. Dhillon:
Load Balancing in 5G HetNets with Millimeter Wave Integrated Access and Backhaul. - Nicolò De Ponti:
Metric properties of homogeneous and spatially inhomogeneous F-divergences. - Megumi Ando, Anna Lysyanskaya, Eli Upfal:
On the Complexity of Anonymous Communication Through Public Networks. - Francesco Malandrino, Carla-Fabiana Chiasserini, Giada Landi:
Towards Failure Resiliency in 5G: Service Shifting. - Mohammad Hossein Mousavi, Mohammad Ali Maddah-Ali, Mahtab Mirmohseni:
Private Inner Product Retrieval for Distributed Machine Learning. - Jasmine Sekhon, Cody H. Fleming:
Towards Improved Testing For Deep Learning. - Bin Yang, Wenjie Luo, Raquel Urtasun:
PIXOR: Real-time 3D Object Detection from Point Clouds. - Liwei Guo, Yiying Zhang, Felix Xiaozhu Lin:
Let the Cloud Watch Over Your IoT File Systems. - Jinyong Hou, Xuejie Ding, Jeremiah D. Deng:
Unsupervised Domain Adaptation using Deep Networks with Cross-Grafted Stacks. - Mingrui Zhang, Lin Chen, Aryan Mokhtari, Hamed Hassani, Amin Karbasi:
Quantized Frank-Wolfe: Communication-Efficient Distributed Optimization. - Mohit Prabhushankar, Gukyeong Kwon, Dogancan Temel, Ghassan AlRegib:
Semantically Interpretable and Controllable Filter Sets. - Christian Kroer, Tuomas Sandholm:
Limited Lookahead in Imperfect-Information Games. - Pedro M. M. Pereira, Rui Fonseca-Pinto, Rui Pedro Paiva, Luis M. N. Tavora, Pedro A. Amado Assunção, Sérgio M. M. de Faria:
Accurate Segmentation of Dermoscopic Images based on Local Binary Pattern Clustering. - Maxwell I. Nye, Luke B. Hewitt, Joshua B. Tenenbaum, Armando Solar-Lezama:
Learning to Infer Program Sketches. - Chang-Sik Choi, François Baccelli, Gustavo de Veciana:
Analysis of Data Harvesting by Unmanned Aerial Vehicles. - Syed Mohammad Zafaruddin, Ilai Bistritz, Amir Leshem, Dusit Niyato:
Distributed Learning for Channel Allocation Over a Shared Spectrum. - Chao Li, Balaji Palanisamy, Runhua Xu:
Scalable and Privacy-preserving Design of On/Off-chain Smart Contracts. - Baihong Jin, Yuxin Chen, Dan Li, Kameshwar Poolla, Alberto L. Sangiovanni-Vincentelli:
A One-Class Support Vector Machine Calibration Method for Time Series Change Point Detection. - Abdullah-Al-Zubaer Imran, Ali Hatamizadeh, Shilpa P. Ananth, Xiaowei Ding, Demetri Terzopoulos, Nima Tajbakhsh:
Automatic Segmentation of Pulmonary Lobes Using a Progressive Dense V-Network. - Baihong Jin, Dan Li, Seshadhri Srinivasan, See-Kiong Ng, Kameshwar Poolla, Alberto L. Sangiovanni-Vincentelli:
Detecting and Diagnosing Incipient Building Faults Using Uncertainty Information from Deep Neural Networks. - Chen Wang, Hui Ma, Gang Chen, Sven Hartmann:
Evolutionary Multitasking for Semantic Web Service Composition. - Dhrubojyoti Roy, Mukundan Sridharan, Satyajeet Deshpande, Anish Arora:
Achieving Throughput via Fine-Grained Path Planning in Small World DTNs. - (Withdrawn) SCEF: A Support-Confidence-aware Embedding Framework for Knowledge Graph Refinement.
- Yuan Wang, Yang Yu, Ming Liu:
PointIT: A Fast Tracking Framework Based on 3D Instance Segmentation. - Gregory Rosenthal:
Beating Treewidth for Average-Case Subgraph Isomorphism. - Ya-Feng Liu, Zi Xu, Cheng Lu:
On the Equivalence of Semidifinite Relaxations for MIMO Detection with General Constellations. - Chengcheng Li, Zi Wang, Xiangyang Wang, Hairong Qi:
Single-shot Channel Pruning Based on Alternating Direction Method of Multipliers. - Leslie Ching Ow Tiong, Andrew Beng Jin Teoh, Yunli Lee:
Periocular Recognition in the Wild with Orthogonal Combination of Local Binary Coded Pattern in Dual-stream Convolutional Neural Network. - Andrew Truelove, Farah Naz Chowdhury, Omprakash Gnawali, Mohammad Amin Alipour:
Users Issues in using the Internet of Things Systems. - Zi Wang, Chengcheng Li, Dali Wang, Xiangyang Wang, Hairong Qi:
Speeding up convolutional networks pruning with coarse ranking. - Alina Ene, Adrian Vladu:
Improved Convergence for $\ell_\infty$ and $\ell_1$ Regression via Iteratively Reweighted Least Squares. - Nazanin Takbiri, Dennis L. Goeckel, Amir Houmansadr, Hossein Pishro-Nik:
Asymptotic Limits of Privacy in Bayesian Time Series Matching. - Lana Sinapayen, Atsushi Masumori, Takashi Ikegami:
Reactive, Proactive, and Inductive Agents: An evolutionary path for biological and artificial spiking networks. - Hassan Jameel Asghar, Dali Kaafar:
Averaging Attacks on Bounded Perturbation Algorithms. - Yueyao Yu, Pengfei Yu, Wenye Li:
AuxBlocks: Defense Adversarial Example via Auxiliary Blocks. - Hirofumi Tsuda:
Moment-Based Bound on Peak-to-Average Power Ratio and Reduction with Unitary Matrix. - Mohammad Saidur Rahman, Payap Sirinam, Nate Mathews, Kantha Girish Gangadhara, Matthew Wright:
Tik-Tok: The Utility of Packet Timing in Website Fingerprinting Attacks. - Hirofumi Tsuda:
Optimal Sequence and SINR for Desired User in Asynchronous CDMA System. - Florian Mai, Lukas Galke, Ansgar Scherp:
CBOW Is Not All You Need: Combining CBOW with the Compositional Matrix Space Model. - Max Allan, Alexey Shvets, Thomas Kurmann, Zichen Zhang, Rahul Duggal, Yun-Hsuan Su, Nicola Rieke, Iro Laina, Niveditha Kalavakonda, Sebastian Bodenstedt, Luis C. García-Peraza, Wenqi Li, Vladimir Iglovikov, Huoling Luo, Jian Yang, Danail Stoyanov, Lena Maier-Hein, Stefanie Speidel, Mahdi Azizian:
2017 Robotic Instrument Segmentation Challenge. - Angela Bonifati, Peter Furniss, Alastair Green, Russ Harmer, Eugenia Oshurko, Hannes Voigt:
Schema Validation and Evolution for Graph Databases. - Frank Fischer, Robert Jäschke:
"The Michael Jordan of Greatness": Extracting Vossian Antonomasia from Two Decades of the New York Times, 1987-2007. - Ziqiang Cheng, Yang Yang, Chenhao Tan, Denny Cheng, Yueting Zhuang, Alex Cheng:
What Makes a Good Team? A Large-scale Study on the Effect of Team Composition in Honor of Kings. - Ahmed Alkhateeb:
DeepMIMO: A Generic Deep Learning Dataset for Millimeter Wave and Massive MIMO Applications. - Anas El Ankouri, Luiz Anet Neto, Sylvain Barthomeuf, Ali Sanhaji, Bertrand Le Guyader, Kamil Grzybowski, Sophie Durel, Philippe Chanclou:
Experimental Assessment of Real-time PDCP-RLC V-RAN Split Transmission with 20 Gbit/s PAM4 Optical Access. - Anas El Ankouri, Luiz Anet Neto, Ali Sanhaji, Sylvain Barthomeuf, Hugues Le Bras, Bertrand Le Guyader, Abdellatif Chagdali, Minqi Wang, Naveena Genay, Kamil Grzybowski, Sophie Durel, Philippe Chanclou:
Experimental Demonstration of Real-time PDCP-RLC V-RAN Split Transmission over Fixed XGS-PON access. - Jon McCormack, Toby Gifford, Patrick Hutchings, Maria Teresa Llano Rodriguez, Matthew Yee-King, Mark d'Inverno:
In a Silent Way: Communication Between AI and Improvising Musicians Beyond Sound. - Xin Xu, Xiaopeng Luo:
Sparse residual tree and forest. - Linhao Dong, Feng Wang, Bo Xu:
Self-Attention Aligner: A Latency-Control End-to-End Model for ASR Using Self-Attention Network and Chunk-Hopping. - Zhongnian Li, Tao Zhang, Daoqiang Zhang:
SEGAN: Structure-Enhanced Generative Adversarial Network for Compressed Sensing MRI Reconstruction. - Sanket S. Kalamkar, Martin Haenggi:
Simple Approximations of the SIR Meta Distribution in General Cellular Networks. - Samara M. Ahmed:
BYOD, Personal Area Networks (PANs) and IOT: Threats to Patients Privacy. - Nieves Atienza, Luis M. Escudero, Maria Jose Jimenez, M. Soriano-Trigueros:
Persistent entropy: a scale-invariant topological statistic for analyzing cell arrangements. - Youngeun Kwon, Minsoo Rhu:
Beyond the Memory Wall: A Case for Memory-centric HPC System for Deep Learning. - Valentin Polishchuk, Leonid Sedov, Roman Voronov:
Geometric secluded paths and planar satisfiability. - Jean Cardinal, Gwenaël Joret, Jérémie Roland:
Information-theoretic lower bounds for quantum sorting. - Lukasz Lachowski:
Complexity of the quorum intersection property of the Federated Byzantine Agreement System. - Jérôme Tubiana, Simona Cocco, Rémi Monasson:
Learning Compositional Representations of Interacting Systems with Restricted Boltzmann Machines: Comparative Study of Lattice Proteins. - Youngjoo Kim, Peng Wang, Lyudmila Mihaylova:
Structural Recurrent Neural Network for Traffic Speed Prediction. - Neema Davis, Gaurav Raina, Krishna P. Jagannathan:
Grids versus Graphs: Partitioning Space for Improved Taxi Demand-Supply Forecasts. - Genevieve Gorrell, Mehmet E. Bakir, Luke Temple, Diana Maynard, Paolo Cifariello, Jackie Harrison, J. Miguel Kanai, Kalina Bontcheva:
Local Media and Geo-situated Responses to Brexit: A Quantitative Analysis of Twitter, News and Survey Data. - Hung Duy Le, Huynh Van Luong, Nikos Deligiannis:
Designing recurrent neural networks by unfolding an l1-l1 minimization algorithm. - Andrei Erofeev, Denis M. Orlov, Alexey Ryzhov, Dmitry A. Koroteev:
Prediction of Porosity and Permeability Alteration based on Machine Learning Algorithms. - Woojun Kim, Myungsik Cho, Youngchul Sung:
Message-Dropout: An Efficient Training Method for Multi-Agent Deep Reinforcement Learning. - Yansong Gao, Chang Xu, Derui Wang, Shiping Chen, Damith Chinthana Ranasinghe, Surya Nepal:
STRIP: A Defence Against Trojan Attacks on Deep Neural Networks. - Hossein Hassani, Emir Turajlic, Kemal Taljanovic:
Digital Humanities Readiness Assessment Framework: DHuRAF. - Shadi Diab:
Optimizing Stochastic Gradient Descent in Text Classification Based on Fine-Tuning Hyper-Parameters Approach. A Case Study on Automatic Classification of Global Terrorist Attacks. - David Tellez, Geert Litjens, Péter Bándi, Wouter Bulten, John-Melle Bokhorst, Francesco Ciompi, Jeroen van der Laak:
Quantifying the effects of data augmentation and stain color normalization in convolutional neural networks for computational pathology. - Andrea Lenzi, Marianna Maranghi, Giovanni Stilo, Paola Velardi:
Quality of Life Assessment of Diabetic patients from health-related blogs. - Bojian Yin, Siebren Schaafsma, Henk Corporaal, H. Steven Scholte, Sander M. Bohté:
LocalNorm: Robust Image Classification through Dynamically Regularized Normalization. - Angel Romero, Paul N. Beuchat, Yvonne R. Sturz, Roy S. Smith, John Lygeros:
Nonlinear Control of Quadcopters via Approximate Dynamic Programming. - Junhao Cai, Hui Cheng, Zhanpeng Zhang, Jingcheng Su:
MetaGrasp: Data Efficient Grasping by Affordance Interpreter Network. - Sarah Alotaibi, William A. P. Smith:
Decomposing multispectral face images into diffuse and specular shading and biophysical parameters. - Seunghyeok Back, Seongju Lee, Hogeon Seo, Deokhwan Park, Tae Kim, Kyoobin Lee:
Intra- and Inter-epoch Temporal Context Network (IITNet) for Automatic Sleep Stage Scoring. - Emre Aksan, Otmar Hilliges:
STCN: Stochastic Temporal Convolutional Networks. - Girish Mururu, Chris Porter, Prithayan Barua, Santosh Pande:
Binary Debloating for Security via Demand Driven Loading. - Giordano Da Lozzo, Giuseppe Di Battista, Fabrizio Frati:
Extending Upward Planar Graph Drawings. - Shaull Almagor, Nathann Cohen, Guillermo A. Pérez, Mahsa Shirmohammadi, James Worrell:
Coverability in 1-VASS with Disequality Tests. - Vladimir Vovk, Ivan Petej, Paolo Toccaceli, Alex Gammerman:
Conformal calibrators. - Supratik Paul, Vitaly Kurin, Shimon Whiteson:
Fast Efficient Hyperparameter Tuning for Policy Gradients. - Dogancan Temel, Jinsol Lee, Ghassan AlRegib:
Object Recognition under Multifarious Conditions: A Reliability Analysis and A Feature Similarity-based Performance Estimation. - Simon Oddershede Gregersen, Søren Eller Thomsen, Aslan Askarov:
A Dependently Typed Library for Static Information-Flow Control in Idris. - Grzegorz Herman:
Relational parsing: a clean, fast parsing strategy for all context-free languages. - Nikita Basov:
The Ambivalence of Cultural Homophily: Field Positions, Semantic Similarities, and Social Network Ties in Creative Collectives. - José Segovia Martín, Bradley Walker, Nicolas Fay, Monica Tamariz:
Network connectivity dynamics affect the evolution of culturally transmitted variants. - Man-Kwun Chiu, Jonas Cleve, Katharina Klost, Matias Korman, Wolfgang Mulzer, André van Renssen, Marcel Roeloffzen, Max Willert:
Routing in Histograms. - Xuanlin Liu, Mingzhe Chen, Changchuan Yin:
Optimized Trajectory Design in UAV Based Cellular Networks for 3D Users: A Double Q-Learning Approach. - Gianni Bianchini, Marco Casini, Daniele Pepe, Antonio Vicino, Giovanni Gino Zanvettor:
An integrated model predictive control approach for optimal HVAC and energy storage operation in large-scale buildings. - Ted Hurley, Donny Hurley, Barry Hurley:
Maximum distance separable codes to order. - Mohsen Imani, Mohammad Saidur Rahman, Nate Mathews, Aneesh Yogesh Joshi, Matthew Wright:
Adv-DWF: Defending Against Deep-Learning-Based Website Fingerprinting Attacks with Adversarial Traces. - Kees van Berkel, Tim Lyon:
Appendix for: Cut-free Calculi and Relational Semantics for Temporal STIT logics. - Alexander Kroner, Mario Senden, Kurt Driessens, Rainer Goebel:
Contextual Encoder-Decoder Network for Visual Saliency Prediction. - Fatih Kurt, Kezban Dilek Kisa, Pinar Karagoz:
Investigating the Effect of Segmentation Methods on Neural Model based Sentiment Analysis on Informal Short Texts in Turkish. - Anuj Dawar, Erich Grädel, Wied Pakusa:
Approximations of Isomorphism and Logics with Linear-Algebraic Operators. - Elisardo Antelo:
ENBB Processor: Towards the ExaScale Numerical Brain Box [Position Paper]. - Xavier Coiteux-Roy, Stefan Wolf:
Proving Erasure. - Nirupam Bidikar, Kotoju Rajitha, P. Usha Supriya:
A Novel Universal Solar Energy Predictor. - Basit Qureshi, Kamal Kawlaq, Anis Koubaa, Basel Sultan, Mohammad Younis:
A Commodity SBC-Edge Cluster for Smart Cities. - Jinliang Xu, Shangguang Wang, Bharat K. Bhargava, Fangchun Yang:
A Blockchain-enabled Trustless Crowd-Intelligence Ecosystem on Mobile Edge Computing. - Amit Kumar, Tanya Ahuja, Rajesh Kumar Madabhattula, Murali Kante, Srinivasa Rao Aravilli:
VEDAR: Accountable Behavioural Change Detection. - Fenyu Hu, Yanqiao Zhu, Shu Wu, Liang Wang, Tieniu Tan:
Semi-supervised Node Classification via Hierarchical Graph Convolutional Networks. - Olivera Kotevska:
Increasing city safety awareness regarding disruptive traffic stream. - Cori Faklaris, Asa Blevins, Matt O'Haver, Neha Singhal, Francesco Cafaro:
An Exploration of User and Bystander Attitudes About Mobile Live-Streaming Video. - Guy Lansley, Michael J. De Smith, Michael F. Goodchild, Paul A. Longley:
Big Data and Geospatial Analysis. - Federico Monti, Fabrizio Frasca, Davide Eynard, Damon Mannion, Michael M. Bronstein:
Fake News Detection on Social Media using Geometric Deep Learning. - Stephen G. Odaibo:
Generative Adversarial Networks Synthesize Realistic OCT Images of the Retina. - Ghadeer AbuOda, Gianmarco De Francisci Morales, Ashraf Aboulnaga:
Link Prediction via Higher-Order Motif Features. - Mahdieh Zabihimayvan, Reza Sadeghi, Derek Doran, Mehdi Allahyari:
A Broad Evaluation of the Tor English Content Ecosystem. - Alaa Mahdi Sahi:
Analysis of the Main Factors Affecting M-Commerce Adoption in Iraq. - Guoji Fu, Chengbin Hou, Xin Yao:
Learning Topological Representation for Networks via Hierarchical Sampling. - Christian Wankmüller, Christian Truden, Christopher Korzen, Philipp Hungerländer, Ewald Kolesnik, Gerald Reiner:
Base Station Allocation of Defibrillator Drones in Mountainous Regions. - Benjamin Coleman, Anshumali Shrivastava, Richard G. Baraniuk:
RACE: Sub-Linear Memory Sketches for Approximate Near-Neighbor Search on Streaming Data. - Mandy M. Greaves, Cass Dykeman:
A Corpus Linguistic Analysis of Public Reddit Blog Posts on Non-Suicidal Self-Injury. - Dennis Assenmacher, Lena Adam, Lena Frischlich, Heike Trautmann, Christian Grimme:
Openbots. - Adeel Ahmed, Muhammad Fahad Khan, Muhammad Usman, Khalid Saleem:
Analysis of Coauthorship Network in Political Science using Centrality Measures. - L. V. Androshchuk, Aidan Rooney:
Bayesian method for evaluation an airline profitability on the base components of Airline Route Planning. - Ioannis Caragiannis, Aris Filos-Ratsikas, Panagiotis Kanellopoulos, Rohit Vaish:
Stable fractional matchings. - Faisal Tariq, Muhammad R. A. Khandaker, Kai-Kit Wong, Muhammad Ali Imran, Mehdi Bennis, Mérouane Debbah:
A Speculative Study on 6G. - Swalpa Kumar Roy, Gopal Krishna, Shiv Ram Dubey, Bidyut B. Chaudhuri:
HybridSN: Exploring 3D-2D CNN Feature Hierarchy for Hyperspectral Image Classification. - Maksymilian Mika, Marek Szykula:
Complexity of the Frobenius monoid problem for a finite language. - Danilo Vasconcellos Vargas, Junichi Murata:
Spectrum-Diverse Neuroevolution with Unified Neural Models. - Sarath Chandar, Chinnadhurai Sankar, Eugene Vorontsov, Samira Ebrahimi Kahou, Yoshua Bengio:
Towards Non-saturating Recurrent Units for Modelling Long-term Dependencies. - Nicholas Carlini, Anish Athalye, Nicolas Papernot, Wieland Brendel, Jonas Rauber, Dimitris Tsipras, Ian J. Goodfellow, Aleksander Madry, Alexey Kurakin:
On Evaluating Adversarial Robustness. - Daniel Perez, Benjamin Livshits:
Smart Contract Vulnerabilities: Does Anyone Care? - Leonardo Enzo Brito da Silva, Niklas Melton, Donald C. Wunsch II:
Incremental Cluster Validity Indices for Hard Partitions: Extensions and Comparative Study. - Cícero A. de Lima:
SFCM-R: A novel algorithm for the hamiltonian sequence problem. - Milan Curcic:
A parallel Fortran framework for neural networks and deep learning. - Daeyun Shin, Zhile Ren, Erik B. Sudderth, Charless C. Fowlkes:
Multi-layer Depth and Epipolar Feature Transformers for 3D Scene Reconstruction. - Carsten Fuhs, Cynthia Kop:
A static higher-order dependency pair framework. - Pushkar Mishra, Marco Del Tredici, Helen Yannakoudakis, Ekaterina Shutova:
Author Profiling for Hate Speech Detection. - Vaibhav Kumar, Barry Cardiff, Mark F. Flanagan:
On the Performance of NOMA-based Cooperative Relaying with Receive Diversity. - Rohil Badkundri, Victor Valbuena, Srikusmanjali Pinnamareddy, Brittney Cantrell, Janet Standeven:
Forecasting the 2017-2018 Yemen Cholera Outbreak with Machine Learning. - Dhaval Adjodah, Dan Calacci, Abhimanyu Dubey, Anirudh Goyal, Peter M. Krafft, Esteban Moro, Alex Pentland:
Communication Topologies Between Learning Agents in Deep Reinforcement Learning. - Aida Ghorbani Asibelagh, Reza Faghih Mirzaee:
Applicability of Partial Ternary Full Adder in Ternary Arithmetic Units. - Nikolaj Tatti, Fabian Moerchen:
Finding Robust Itemsets Under Subsampling. - Mayank Agrawal, Joshua C. Peterson, Thomas L. Griffiths:
Using Machine Learning to Guide Cognitive Modeling: A Case Study in Moral Reasoning. - Christopher Frye, Ilya Feige:
Parenting: Safe Reinforcement Learning from Human Input. - Jingdao Chen, Yong Kwon Cho, Zsolt Kira:
Multi-view Incremental Segmentation of 3D Point Clouds for Mobile Robots. - Jiatao Ding, Chengxu Zhou, Songyan Xin, Xiaohui Xiao, Nikolaos G. Tsagarakis:
Nonlinear Model Predictive Control for Robust Bipedal Locomotion Exploring CoM Height and Angular Momentum Changes. - Alberto Dennunzio, Enrico Formenti, Luca Manzoni, Luciano Margara, Antonio E. Porreca:
On the dynamical behaviour of linear higher-order cellular automata and its decidability. - Heidi Howard, Richard Mortier:
A Generalised Solution to Distributed Consensus. - Zhicheng Ding, Mehmet Kerem Türkcan, Albert Boulanger:
Using an Ancillary Neural Network to Capture Weekends and Holidays in an Adjoint Neural Network Architecture for Intelligent Building Management. - Gregory Plumb, Maruan Al-Shedivat, Eric P. Xing, Ameet Talwalkar:
Regularizing Black-box Models for Improved Interpretability. - Oscar Chang, Hod Lipson:
Seven Myths in Machine Learning Research. - Sobhan Moosavi, Mohammad Hossein Samavatian, Arnab Nandi, Srinivasan Parthasarathy, Rajiv Ramnath:
Short and Long-term Pattern Discovery Over Large-Scale Geo-Spatiotemporal Data. - Roman V. Plotnikov, Adil I. Erzin:
Constructive Heuristics for Min-Power Bounded-Hops Symmetric Connectivity Problem. - Daniel Stoller, Simon Durand, Sebastian Ewert:
End-to-end Lyrics Alignment for Polyphonic Music Using an Audio-to-Character Recognition Model. - Alkida Balliu, Sebastian Brandt, Dennis Olivetti, Jukka Suomela:
How much does randomness help with locally checkable problems? - Raymond R. Bond, Ansgar Koene, Alan J. Dix, Jennifer Boger, Maurice D. Mulvenna, Mykola Galushka, Bethany Waterhouse Bradley, Fiona Browne, Hui Wang, Alexander Wong:
Democratisation of Usable Machine Learning in Computer Vision. - Philipe A. Dias, Zhou Shen, Amy Tabb, Henry Medeiros:
FreeLabel: A Publicly Available Annotation Tool based on Freehand Traces. - Samuel C. Gutekunst, David P. Williamson:
Characterizing the Integrality Gap of the Subtour LP for the Circulant Traveling Salesman Problem. - Anisse Ismaili:
The Complexity of Max-Min $k$-Partitioning. - Mohammad Ghoniem, Fintan McGee, Guy Melançon, Benoît Otjacques, Bruno Pinaud:
The State of the Art in Multilayer Network Visualization. - Rahul Gupta:
Data augmentation for low resource sentiment analysis using generative adversarial networks. - Alex Zihao Zhu, Ziyun Wang, Kostas Daniilidis:
Motion Equivariant Networks for Event Cameras with the Temporal Normalization Transform. - Yoni Choukroun, Eli Kravchik, Pavel Kisilev:
Low-bit Quantization of Neural Networks for Efficient Inference. - Syed Arbab Mohd Shihab, Caleb Logemann, Deepak-George Thomas, Peng Wei:
Towards the Next Generation Airline Revenue Management: A Deep Reinforcement Learning Approach to Seat Inventory Control and Overbooking. - Jason Zhi Liang, Elliot Meyerson, Babak Hodjat, Daniel Fink, Karl Mutch, Risto Miikkulainen:
Evolutionary Neural AutoML for Deep Learning. - Shruti Palaskar, Vikas Raunak, Florian Metze:
Learned In Speech Recognition: Contextual Acoustic Word Embeddings. - Michael Zollhöfer:
Commodity RGB-D Sensors: Data Acquisition. - Youngjoo Jo, Jongyoul Park:
SC-FEGAN: Face Editing Generative Adversarial Network with User's Sketch and Color. - Dehao Wu, Maziar M. Nekovee, Yue Wang:
Deep Learning Based Autoencoder for Interference Channel. - Amir Hossein Yazdavar, Mohammad Saeid Mahdavinejad, Goonmeet Bajaj, William L. Romine, Amirhassan Monadjemi, Krishnaprasad Thirunarayan, Amit P. Sheth, Jyotishman Pathak:
Fusing Visual, Textual and Connectivity Clues for Studying Mental Health. - François Rottenberg, Rui Wang, Jianzhong Zhang, Andreas F. Molisch:
Channel Extrapolation in FDD Massive MIMO: Theoretical Analysis and Numerical Validation. - Debajyoti Bera, Tharrmashastha P. V:
Error reduction of quantum algorithms. - Chen Change Loy, Dahua Lin, Wanli Ouyang, Yuanjun Xiong, Shuo Yang, Qingqiu Huang, Dongzhan Zhou, Wei Xia, Quanquan Li, Ping Luo, Junjie Yan, Jianfeng Wang, Zuoxin Li, Ye Yuan, Boxun Li, Shuai Shao, Gang Yu, Fangyun Wei, Xiang Ming, Dong Chen, Shifeng Zhang, Cheng Chi, Zhen Lei, Stan Z. Li, Hongkai Zhang, Bingpeng Ma, Hong Chang, Shiguang Shan, Xilin Chen, Wu Liu, Boyan Zhou, Huaxiong Li, Peng Cheng, Tao Mei, Artem Kukharenko, Artem Vasenin, Nikolay Sergievskiy, Hua Yang, Liangqi Li, Qiling Xu, Yuan Hong, Lin Chen, Mingjun Sun, Yirong Mao, Shiying Luo, Yongjun Li, Ruiping Wang, Qiaokang Xie, Ziyang Wu, Lei Lu, Yiheng Liu, Wengang Zhou:
WIDER Face and Pedestrian Challenge 2018: Methods and Results. - Peng Sun, Wansen Feng, Ruobing Han, Shengen Yan, Yonggang Wen:
Optimizing Network Performance for Distributed DNN Training on GPU Clusters: ImageNet/AlexNet Training in 1.5 Minutes. - Dogancan Temel, Tariq Alshawi, Min-Hung Chen, Ghassan AlRegib:
Challenging Environments for Traffic Sign Detection: Reliability Assessment under Inclement Conditions. - Clark Zhang, Arbaaz Khan, Santiago Paternain, Vijay Kumar, Alejandro Ribeiro:
Learning Task Agnostic Sufficiently Accurate Models. - Lech Duraj:
A sub-quadratic algorithm for the longest common increasing subsequence problem. - Roman Pop, Ali Hassan, Kenneth Bruninx, Michael Chertkov, Yury Dvorkin:
A Markov Process Approach to Ensemble Control of Smart Buildings. - Zheng Hui Ernest Tan, A. S. Madhukumar, Rajendra Prasad Sirigina, Anoop Kumar Krishna:
Downlink NOMA in Multi-UAV Networks over Bivariate Rician Shadowed Fading Channels. - Sergio F. Acosta, Jorge E. Camargo:
Predicting city safety perception based on visual image content. - Alon Efrat, David Eppstein, Daniel Frishberg, Michael T. Goodrich, Stephen G. Kobourov, Nil Mamano, Pedro Matias, Valentin Polishchuk:
Euclidean TSP, Motorcycle Graphs, and Other New Applications of Nearest-Neighbor Chains. - Atul Rungta, Nicholas Rewkowski, Roberta L. Klatzky, Dinesh Manocha:
P-Reverb: Perceptual Characterization of Early and Late Reflections for Auditory Displays. - (Withdrawn) Proper-Composite Loss Functions in Arbitrary Dimensions.
- Xiaotao Jia, Jianlei Yang, Pengcheng Dai, Runze Liu, Yiran Chen, Weisheng Zhao:
SPINBIS: Spintronics based Bayesian Inference System with Stochastic Computing. - Samuel Thomas, Hammurabi Mendes:
Layering Data Structures over Skip Graphs for Increased NUMA Locality. - Chen Yuan, Yi Lu, Wei Feng, Guangyi Liu, Renchang Dai, Yachen Tang, Zhiwei Wang:
Graph Computing based Distributed Fast Decoupled Power Flow Analysis. - Abdullah Al-Dujaili, Una-May O'Reilly:
There are No Bit Parts for Sign Bits in Black-Box Attacks. - Shubham Gupta, Ambedkar Dukkipati:
On Voting Strategies and Emergent Communication. - Julian Tran, Farhad Farokhi, Michael Cantoni, Iman Shames:
Implementing Homomorphic Encryption Based Secure Feedback Control for Physical Systems. - Jinhwi Lee, Younggil Cho, Changjoo Nam, Jonghyeon Park, ChangHwan Kim:
Efficient Obstacle Rearrangement for Object Manipulation Tasks in Cluttered Environments. - Jason D. Hartline, Aleck C. Johnsen, Denis Nekipelov, Zihe Wang:
Inference from Auction Prices. - Shaojie Xu, Sihan Zeng, Justin Romberg:
Fast Compressive Sensing Recovery Using Generative Models with Structured Latent Variables. - Adil E. Rajput, Akila Sarirete, Tamer F. Desouky:
Using Crowdsourcing to Identify a Proxy of Socio-Economic status. - Seo-Jin Bang, Pengtao Xie, Wei Wu, Eric P. Xing:
Explaining a black-box using Deep Variational Information Bottleneck Approach. - Yafei Song, Yonghong Tian, Gang Wang, Mingyang Li:
2D LiDAR Map Prediction via Estimating Motion Flow with GRU. - Xueqing Deng, Yi Zhu, Shawn D. Newsam:
Using Conditional Generative Adversarial Networks to Generate Ground-Level Views From Overhead Imagery. - Ha Son Vu, Daisuke Ueta, Kiyoshi Hashimoto, Kazuki Maeno, Sugiri Pranata, Sheng Mei Shen:
Anomaly Detection with Adversarial Dual Autoencoders. - Chaojie Zhao, Peng Zhang, Jian Zhu, Chengrui Wu, Huaimin Wang, Kele Xu:
Predicting tongue motion in unlabeled ultrasound videos using convolutional LSTM neural network. - Cheng-Shang Chang, Yeh-Cheng Chang, Jang-Ping Sheu:
A Quasi-random Algorithm for Anonymous Rendezvous in Heterogeneous Cognitive Radio Networks. - Tong-Xing Zheng, Hui-Ming Wang, Derrick Wing Kwan Ng, Jinhong Yuan:
Multi-Antenna Covert Communications in Random Wireless Networks. - Ce Wang, Zhangling Chen, Kun Shang:
Label-Removed Generative Adversarial Networks Incorporating with K-Means. - Fayçal Ait Aoudia, Jakob Hoydis:
Towards Hardware Implementation of Neural Network-based Communication Algorithms. - Zhenyu Wang, Wei Zheng, Chunfeng Song:
Air Quality Measurement Based on Double-Channel Convolutional Neural Network Ensemble Learning. - Li-yao Xia, Dominic Orchard, Meng Wang:
Composing bidirectional programs monadically (with appendices). - Fedor V. Fomin, Petr A. Golovach, Daniel Lokshtanov, Saket Saurabh, Meirav Zehavi:
Covering Vectors by Spaces in Perturbed Graphic Matroids and Their Duals. - Sai Ganesh Nagarajan, Ioannis Panageas:
On the Convergence of EM for truncated mixtures of two Gaussians. - Mariam Nouh, Jason R. C. Nurse, Helena Webb, Michael Goldsmith:
Cybercrime Investigators are Users Too! Understanding the Socio-Technical Challenges Faced by Law Enforcement. - Ankita Shukla, Shagun Uppal, Sarthak Bhagat, Saket Anand, Pavan K. Turaga:
Geometry of Deep Generative Models for Disentangled Representations. - Dmitry Ivanov:
DEDPUL: Method for Mixture Proportion Estimation and Positive-Unlabeled Classification based on Density Estimation. - Yang Liu, Junfeng Wu, Ian R. Manchester, Guodong Shi:
Dynamical Privacy in Distributed Computing - Part I: Privacy Loss and PPSC Mechanism. - Kimberley D. Orsten-Hooge, Asal Baragchizadeh, Thomas P. Karnowski, David S. Bolme, Regina Ferrell, Parisa R. Jesudasen, Alice J. O'Toole:
Evaluating the Effectiveness of Automated Identity Masking (AIM) Methods with Human Perception. - Anca Muscholl, Gabriele Puppis:
Equivalence of finite-valued streaming string transducers is decidable. - Christof Ferreira Torres, Mathis Steichen:
The Art of The Scam: Demystifying Honeypots in Ethereum Smart Contracts. - Juozas Vaicenavicius, David Widmann, Carl R. Andersson, Fredrik Lindsten, Jacob Roll, Thomas B. Schön:
Evaluating model calibration in classification. - Rizwan Ali Shah, Mamoona Naveed Asghar, Saima Abdullah, Martin Fleury, Neelam Gohar:
Effectiveness of Crypto-Transcoding for H.264/AVC and HEVC Video Bit-streams. - Belma Turkovic, Jorik Oostenbrink, Fernando A. Kuipers:
Detecting Heavy Hitters in the Data-plane. - Hao Hao Tan:
Agent Madoff: A Heuristic-Based Negotiation Agent For The Diplomacy Strategy Game. - Dennis Sprute, Klaus Tönnies, Matthias König:
Virtual Border Teaching Using a Network Robot System. - Oscar Defrain, Lhouari Nourine, Takeaki Uno:
On the dualization in distributive lattices and related problems. - Markku Suomalainen, Sylvain Calinon, Emmanuel Pignat, Ville Kyrki:
Improving dual-arm assembly by master-slave compliance. - John Moore, Andrés Arcia-Moret, Poonam Yadav, Richard Mortier, Anthony Brown, Derek McAuley, Andy Crabtree, Chris Greenhalgh, Hamed Haddadi, Yousef Amar:
Zest: REST over ZeroMQ. - Éric Duchêne, Victor Marsault, Aline Parreau, Michel Rigo:
Taking-and-merging games as rewrite games. - Yao Zhang, Changle Li, Tom H. Luan, Yuchuan Fu, Weisong Shi, Lina Zhu:
A Mobility-Aware Vehicular Caching Scheme in Content Centric Networks: Model and Optimization. - Chenyang Zhao, Olivier Sigaud, Freek Stulp, Timothy M. Hospedales:
Investigating Generalisation in Continuous Deep Reinforcement Learning. - Xiaojie Li, Lu Yang, Qing Song, Fuqiang Zhou:
Detector-in-Detector: Multi-Level Analysis for Human-Parts. - Alessandro E. C. Redondi, Andrés Arcia-Moret, Pietro Manzoni:
Towards a Scaled IoT Pub/Sub Architecture for 5G Networks: the Case of Multiaccess Edge Computing. - Fenia Christopoulou, Makoto Miwa, Sophia Ananiadou:
A Walk-based Model on Entity Graphs for Relation Extraction. - Shanshan Wang, Gaurav Naithani, Tuomas Virtanen:
Low-Latency Deep Clustering For Speech Separation. - Yann Disser, Andreas Emil Feldmann, Max Klimm, Jochen Könemann:
Travelling on Graphs with Small Highway Dimension. - Xinrong Guan, Ning Ding, Yueming Cai, Weiwei Yang:
Wireless Key Generation from Imperfect Channel State Information: Performance Analysis and Improvements. - Hossein Akhlaghpasand, Emil Björnson, Seyed Mohammad Razavizadeh:
Jamming Suppression in Massive MIMO Systems. - Adrian Kosowski, Przemyslaw Uznanski, Laurent Viennot:
Hardness of exact distance queries in sparse graphs through hub labeling. - Zhenyu Yan, Qun Song, Rui Tan, Yang Li, Adams Wai-Kin Kong:
Towards Touch-to-Access Device Authentication Using Induced Body Electric Potentials. - Ireneusz Kubiak:
Modeling fonts in context of counteraction of electromagnetic eavesdropping process. - Mrinal Kumar, Rafael Mendes de Oliveira, Ramprasad Saptharishi:
Towards Optimal Depth Reductions for Syntactically Multilinear Circuits. - Mohammad Shehab, Hirley Alves, Matti Latva-aho:
Effective Capacity and Power Allocation for Machine-Type Communication. - Laura Anderlucci, Lucia Guastadisegni, Cinzia Viroli:
Classifying textual data: shallow, deep and ensemble methods. - Qiaoling Shu, Chuansheng Wu, Zhe Xiao, Ryan Wen Liu:
Variational Regularized Transmission Refinement for Image Dehazing. - Yusuke Ujitoko, Yuki Ban, Koichi Hirota:
Modulating Fine Roughness Perception of Vibrotactile Textured Surface using Pseudo-haptic Effect. - Snehal M. Shekatkar:
Do zealots increase or decrease the polarization in social networks? - Jared Dunnmon, Swetava Ganguli, Darren Hau, Brooke E. Husic:
Predicting US State-Level Agricultural Sentiment as a Measure of Food Security with Tweets from Farming Communities. - Zhaoyang Sun, Shengwu Xiong, Ryan Wen Liu:
Directional Regularized Tensor Modeling for Video Rain Streaks Removal. - Deeksha M. Arya, Wenting Wang, Jin L. C. Guo, Jinghui Cheng:
Analysis and Detection of Information Types of Open Source Software Issue Discussions. - Jianbing Ni, Xiaodong Lin, Xuemin Shen:
Towards Edge-assisted Internet of Things: From Security and Efficiency Perspectives. - Mohammad Kachuee, Kimmo Kärkkäinen, Orpaz Goldstein, Davina Zamanzadeh, Majid Sarrafzadeh:
Nutrition and Health Data for Cost-Sensitive Learning. - Chen Xing, Negar Rostamzadeh, Boris N. Oreshkin, Pedro O. Pinheiro:
Adaptive Cross-Modal Few-Shot Learning. - Shuangyue Yu, Tzu-Hao Huang, Dianpeng Wang, Brian Lynn, Dina Sayd, Viktor Silivanov, Young Soo Park, Yingli Tian, Hao Su:
Design and Control of a Quasi-Direct Drive Soft Hybrid Knee Exoskeleton for Injury Prevention during Squatting. - Peng Xu, Pascale Fung:
A novel repetition normalized adversarial reward for headline generation. - Xiaoxia Wu, Simon S. Du, Rachel A. Ward:
Global Convergence of Adaptive Gradient Methods for An Over-parameterized Neural Network. - Shuangyue Yu, Hadia Perez, James Barkas, Mohamed Mohamed, Mohamed Eldaly, Tzu-Hao Huang, Xiaolong Yang, Hao Su, Mar Cortes, Dylan Edwards:
A Soft High Force Hand Exoskeleton for Rehabilitation and Assistance of Spinal Cord Injury and Stroke Individuals. - Etika Agarwal, Sivaranjani S., Vijay Gupta, Panos J. Antsaklis:
Sequential Synthesis of Distributed Controllers for Cascade Interconnected Systems. - Jingyi Shi, Jialin Zhang, Yaorong Ge:
An entropic feature selection method in perspective of Turing formula. - Dick Maryopi, Alister G. Burr:
Few-Bit CSI Acquisition for Centralized Cell-Free Massive MIMO with Spatial Correlation. - Nicole Immorlica, Jieming Mao, Aleksandrs Slivkins, Zhiwei Steven Wu:
Bayesian Exploration with Heterogeneous Agents. - Alireza Sadeghi, Antonio G. Marques, Georgios B. Giannakis:
Distributed Network Caching via Dynamic Programming. - Giorgi Japaridze:
Elementary-base cirquent calculus II: Choice quantifiers. - Craig Tutterow, Guillaume Saint-Jacques:
Estimating Network Effects Using Naturally Occurring Peer Notification Queue Counterfactuals. - Tao Jiang, Stephen A. Vavasis, Chen Wen Zhai:
Recovery of a mixture of Gaussians by sum-of-norms clustering. - Aurélien Bellet, Rachid Guerraoui, Hadrien Hendrikx:
Who started this rumor? Quantifying the natural differential privacy guarantees of gossip protocols. - Katherine E. Stange:
Algebraic aspects of solving Ring-LWE, including ring-based improvements in the Blum-Kalai-Wasserman algorithm. - Manu V. Nair, Giacomo Indiveri:
An ultra-low-power sigma-delta neuron circuit. - Siqi Liu, Guy Lever, Josh Merel, Saran Tunyasuvunakool, Nicolas Heess, Thore Graepel:
Emergent Coordination Through Competition. - Felix Wu, Tianyi Zhang, Amauri H. Souza Jr., Christopher Fifty, Tao Yu, Kilian Q. Weinberger:
Simplifying Graph Convolutional Networks. - Revanth Reddy, Sarath Chandar, Balaraman Ravindran:
Edge Replacement Grammars: A Formal Language Approach for Generating Graphs. - Nikolaj Tatti, Jilles Vreeken:
Comparing Apples and Oranges: Measuring Differences between Data Mining Results. - Ioannis Caragiannis, Angelo Fanelli:
On approximate pure Nash equilibria in weighted congestion games with polynomial latencies. - Alexander Kozachinskiy, Mikhail Vyalyi:
Lower bounds on separation automata for Parity Games. - Jacob Andreas:
Measuring Compositionality in Representation Learning. - Georgia Koppe, Hazem Toutounji, Peter Kirsch, Stefanie Lis, Daniel Durstewitz:
Identifying nonlinear dynamical systems via generative recurrent neural networks with applications to fMRI. - Anastasios Giovanidis, Bruno Baynat, Antoine Vendeville:
Performance Analysis of Online Social Platforms. - Jose A. Perea, Elizabeth Munch, Firas A. Khasawneh:
Approximating Continuous Functions on Persistence Diagrams Using Template Functions. - Rishabh Agarwal, Chen Liang, Dale Schuurmans, Mohammad Norouzi:
Learning to Generalize from Sparse and Underspecified Rewards. - Alexey Milovanov:
PIT for depth-$4$ circuits and Sylvester-Gallai conjecture for polynomials. - Rakshit Agrawal, Luca de Alfaro, Gabriele Ballarin, Stefano Moret, Massimo Di Pierro, Eugenio Tacchini, Marco L. Della Vedova:
Identifying Fake News from Twitter Sharing Data: A Large-Scale Study. - Maithra Raghu, Chiyuan Zhang, Jon M. Kleinberg, Samy Bengio:
Transfusion: Understanding Transfer Learning with Applications to Medical Imaging. - Yang Li, Jing Li, Junjian Qi, Liang Chen:
Robust Cubature Kalman Filter for Dynamic State Estimation of Synchronous Machines under Unknown Measurement Noise Statistics. - André Platzer:
Uniform Substitution At One Fell Swoop. - Naiyu Wang, Xiao Zhou, Xin Lu, Zhitao Guan, Longfei Wu, Xiaojiang Du, Mohsen Guizani:
When Energy Trading meets Blockchain in Electrical Power System: The State of the Art. - Matthew Streeter:
Learning Optimal Linear Regularizers. - Wenqi Fan, Yao Ma, Qing Li, Yuan He, Yihong Eric Zhao, Jiliang Tang, Dawei Yin:
Graph Neural Networks for Social Recommendation. - Thaísa Cardoso Lacerda, Christiane Gresse von Wangenheim, Jean C. R. Hauck:
UPCASE - A Method for Self-Assessing the Capability of the Usability Process in Small Organizations. - (Withdrawn) Continuous Ordinary Differential Equations and Infinite Time Turing Machines.
- Vicenc Rubies-Royo, Roberto Calandra, Dusan M. Stipanovic, Claire J. Tomlin:
Fast Neural Network Verification via Shadow Prices. - Yi-Shuai Niu, Xi-Wei Hu, Yu You, Faouzi Mohamed Benammour, Hu Zhang:
Sentence Compression via DC Programming Approach. - Seil Na, Yo Joong Choe, Dong-Hyun Lee, Gunhee Kim:
Discovery of Natural Language Concepts in Individual Units of CNNs. - Kristine Mae M. Adlaon, Nelson Marcos:
Neural Machine Translation for Cebuano to Tagalog with Subword Unit Translation. - Mark Stuart Day:
The Shutdown Problem: How Does a Blockchain System End? - Sheng Jia, Jamie Kiros, Jimmy Ba:
DOM-Q-NET: Grounded RL on Structured Language. - Roy Shilkrot, Zhi Chai, Minh Hoai:
BusyHands: A Hand-Tool Interaction Database for Assembly Tasks Semantic Segmentation. - Krassimira Vlachkova:
Interpolation of scattered data in $\mathbb{R}^3$ using minimum $L_p$-norm networks, $1<p<\infty$. - Wei Lu, Luca Quadrifoglio:
Fair cost allocation for ridesharing services - modeling, mathematical programming and an algorithm to find the nucleolus. - Jean Barbier, Chun Lam Chan, Nicolas Macris:
Mutual Information for the Stochastic Block Model by the Adaptive Interpolation Method. - Doron Haviv, Alexander Rivkind, Omri Barak:
Understanding and Controlling Memory in Recurrent Neural Networks. - Chris Mesterharm, Rauf Izmailov, Scott Alexander, Simon Tsang:
A Random Subspace Technique That Is Resistant to a Limited Number of Features Corrupted by an Adversary. - Linfeng Song, Daniel Gildea, Yue Zhang, Zhiguo Wang, Jinsong Su:
Semantic Neural Machine Translation using AMR. - Wenqi Wang, Benxiao Tang, Run Wang, Lina Wang, Aoshuang Ye:
A survey on Adversarial Attacks and Defenses in Text. - Ching-An Cheng, Jonathan Lee, Ken Goldberg, Byron Boots:
Online Learning with Continuous Variations: Dynamic Regret and Reductions. - Mehmet Necip Kurt, Yasin Yilmaz, Xiaodong Wang:
Secure Distributed Dynamic State Estimation in Wide-Area Smart Grids. - Yilin Liu, Gengyan Zhao, Brendon M. Nacewicz, Nagesh Adluru, Gregory R. Kirk, Peter A. Ferrazzano, Martin Styner, Andrew L. Alexander:
Accurate Automatic Segmentation of Amygdala Subnuclei and Modeling of Uncertainty via Bayesian Fully Convolutional Neural Network. - Merlijn Blaauw, Jordi Bonada, Ryunosuke Daido:
Data Efficient Voice Cloning for Neural Singing Synthesis. - Mate Kisantal, Zbigniew Wojna, Jakub Murawski, Jacek Naruniec, Kyunghyun Cho:
Augmentation for small object detection. - Jacek Komorowski, Grzegorz Kurzejamski, Grzegorz Sarwas:
DeepBall: Deep Neural-Network Ball Detector. - Stefano Martinazzi:
The evolution of Lightning Network's Topology during its first year and the influence over its core values. - Ricardo Garcia-Rosas, Ying Tan, Denny Oetomo, Chris Manzie, Peter Choong:
Personalized On-line Adaptation of Kinematic Synergies for Human-Prosthesis Interfaces. - Mihai Caragiu, Shannon Tefft, Aaron Kemats, Travis Maenle:
A linear complexity analysis of quadratic residues and primitive roots spacings. - Stephen Morrell, Zbigniew Wojna, Can Son Khoo, Sébastien Ourselin, Juan Eugenio Iglesias:
Large-scale mammography CAD with Deformable Conv-Nets. - Afonso S. Bandeira, Dmitriy Kunisky, Alexander S. Wein:
Computational Hardness of Certifying Bounds on Constrained PCA Problems. - Sixue Gong, Yichun Shi, Nathan D. Kalka, Anil K. Jain:
Video Face Recognition: Component-wise Feature Aggregation Network (C-FAN). - Bashirreza Karimi, Amir H. Banihashemi:
Construction of QC-LDPC Codes with Low Error Floor by Efficient Systematic Search and Elimination of Trapping Sets. - George Kappos, Ania M. Piotrowska:
Extending the Anonymity of Zcash. - M. Sadegh Riazi, Mohammad Samragh, Hao Chen, Kim Laine, Kristin E. Lauter, Farinaz Koushanfar:
XONN: XNOR-based Oblivious Deep Neural Network Inference. - Lois Orosa, Yaohua Wang, Ivan Puddu, Mohammad Sadrosadati, Kaveh Razavi, Juan Gómez-Luna, Hasan Hassan, Nika Mansouri-Ghiasi, Arash Tavakkol, Minesh Patel, Jeremie S. Kim, Vivek Seshadri, Uksong Kang, Saugata Ghose, Rodolfo Azevedo, Onur Mutlu:
Dataplant: In-DRAM Security Mechanisms for Low-Cost Devices. - Michael Atallah, Georges Kaddoum:
Design and Performance Analysis of Secure Multicasting Cooperative Protocol for Wireless Sensor Network Applications. - Carlo Tiseo, Sethu Vijayakumar, Michael N. Mistry:
Analytic Model for Quadruped Locomotion Task-Space Planning. - Ethan Madison, Zachary Zipper:
In oder Aus. - Abdolhamid Ghodselahi, Fabian Kuhn, Volker Turau:
Competitive Concurrent Distributed Scheduling. - Chen Wang, Hyong Kim:
Touchdown on the Cloud: The impact of the Super Bowl on Cloud. - Xiao Guo, Jongmoo Choi:
Human Motion Prediction via Learning Local Structure Representations and Temporal Dependencies. - Xiaoyu Zhang, Haichao Shi, Changsheng Li, Kai Zheng, Xiaobin Zhu, Lixin Duan:
Learning Transferable Self-attentive Representations for Action Recognition in Untrimmed Videos with Weak Supervision. - Yishen Wang, Xiao Lu, Yiran Xu, Di Shi, Zhehan Yi, Jiajun Duan, Zhiwei Wang:
Submodular Load Clustering with Robust Principal Component Analysis. - Jun Shu, Qi Xie, Lixuan Yi, Qian Zhao, Sanping Zhou, Zongben Xu, Deyu Meng:
Push the Student to Learn Right: Progressive Gradient Correcting by Meta-learner on Corrupted Labels. - Matthew S. Brennan, Guy Bresler:
Optimal Average-Case Reductions to Sparse PCA: From Weak Assumptions to Strong Hardness. - Sourav Garg, V. Madhu Babu, Thanuja Dharmasiri, Stephen Hausler, Niko Sünderhauf, Swagat Kumar, Tom Drummond, Michael Milford:
Look No Deeper: Recognizing Places from Opposing Viewpoints under Varying Scene Appearance using Single-View Depth Estimation. - David Alexandre, Chih-Peng Chang, Wen-Hsiao Peng, Hsueh-Ming Hang:
An Autoencoder-based Learned Image Compressor: Description of Challenge Proposal by NCTU. - Rahul Yedida, Snehanshu Saha:
A novel adaptive learning rate scheduler for deep neural networks. - Bill Yang Cai, Ricardo Alvarez, Michelle Sit, Fabio Duarte, Carlo Ratti:
Deep Learning Based Video System for Accurate and Real-Time Parking Measurement. - Lu Tan, Ling Li, Wanquan Liu, Jie Sun, Min Zhang:
A Novel Euler's Elastica based Segmentation Approach for Noisy Images via using the Progressive Hedging Algorithm. - Yusuke Ujitoko, Koichi Hirota:
Interpretation of Tactile Sensation using an Anthropomorphic Finger Motion Interface to Operate a Virtual Avatar. - Aditya Potukuchi, Yihan Zhang:
Improved efficiency for explicit covering codes matching the sphere-covering bound. - Kaizaburo Chubachi, Diptarama Hendrian, Ryo Yoshinaka, Ayumi Shinohara:
Query Learning Algorithm for Residual Symbolic Finite Automata. 140-153 - Rahul Singh, P. R. Kumar:
Optimal Decentralized Dynamic Policies for Video Streaming over Wireless Channels. - Fanghui Xue, Jack Xin:
Learning Sparse Neural Networks via $\ell_0$ and T$\ell_1$ by a Relaxed Variable Splitting Method with Application to Multi-scale Curve Classification. - Yitao Han, Lingjie Duan, Rui Zhang:
Jamming-assisted Eavesdropping over Parallel Fading Channels. - Jie Wang, Yi-Fan Song, Tianlei Ma:
Mexican Hat Wavelet Kernel ELM for Multiclass Classification. - Michael Fauß, Abdelhak M. Zoubir, Alex Dytso, H. Vincent Poor, Kyatsandra G. Nagananda:
Tight Bounds on the Weighted Sum of MMSEs with Applications in Distributed Estimation. - Yuval Filmus, Lianna Hambardzumyan, Hamed Hatami, Pooya Hatami, David Zuckerman:
Biasing Boolean Functions and Collective Coin-Flipping Protocols over Arbitrary Product Distributions. - Chen Gong, Hengmin Zhang, Jian Yang, Dacheng Tao:
Learning with Inadequate and Incorrect Supervision. - Muhammad Usman, Siddique Latif, Muhammad Asim, Junaid Qadir:
Motion Corrected Multishot MRI Reconstruction Using Generative Networks with Sensitivity Encoding. - Tung-Chun Chang, Yishuo Shi, De-Nian Yang, Wen-Tsuen Chen:
Seed Selection and Social Coupon Allocation for Redemption Maximization in Online Social Networks. - Abdul Basit:
Dynamic Matrix Decomposition for Action Recognition. - Federico Coro, Emilio Cruciani, Gianlorenzo D'Angelo, Stefano Ponziani:
Vote for Me! Election Control via Social Influence in Arbitrary Scoring Rule Voting Systems. - Apostolos Pyrgelis, Carmela Troncoso, Emiliano De Cristofaro:
Under the Hood of Membership Inference Attacks on Aggregate Location Time-Series. - Alice Yi Yang, Ling Cheng:
Long-Bone Fracture Detection using Artificial Neural Networks based on Line Features of X-ray Images. - Yu Xing, Shuang Liang, Lingzhi Sui, Xijie Jia, Jiantao Qiu, Xin Liu, Yushun Wang, Yu Wang, Yi Shan:
DNNVM : End-to-End Compiler Leveraging Heterogeneous Optimizations on FPGA-based CNN Accelerators. - Mehran Hosseini, Joël Ouaknine, James Worrell:
On Termination of Integer Linear Loops. - Tarun Yadav, Koustav Sadhukhan:
Identification of Bugs and Vulnerabilities in TLS Implementation for Windows Operating System Using State Machine Learning. - Yan-Bo Lin, Yu-Jhe Li, Yu-Chiang Frank Wang:
Dual-modality seq2seq network for audio-visual event localization. - Domen Tabernik, Matej Kristan, Ales Leonardis:
Spatially-Adaptive Filter Units for Compact and Efficient Deep Neural Networks. - Sercan Türkmen, Janne Heikkilä:
An efficient solution for semantic segmentation: ShuffleNet V2 with atrous separable convolutions. - Yusuke Ujitoko, Yuki Ban:
Vibrotactile Signal Generation from Texture Images or Attributes using Generative Adversarial Network. - Igor Zacharov, Rinat Arslanov, Maxim Gunin, Daniil Stefonishin, Sergey Pavlov, Oleg Panarin, Anton K. Maliutin, Sergey G. Rykovanov, Maxim V. Fedorov:
'Zhores' - Petaflops supercomputer for data-driven modeling, machine learning and artificial intelligence installed in Skolkovo Institute of Science and Technology. - Shuai Yu, Yongbo Wang, Min Yang, Baocheng Li, Qiang Qu, Jialie Shen:
NAIRS: A Neural Attentive Interpretable Recommendation System. - Jacopo Castellini, Frans A. Oliehoek, Rahul Savani, Shimon Whiteson:
The Representational Capacity of Action-Value Networks for Multi-Agent Reinforcement Learning. - Aynur Amirfallah, Fabian Trautsch, Jens Grabowski, Steffen Herbold:
A systematic mapping study of developer social network research. - Bastian Oetomo, Malinga Perera, Renata Borovica-Gajic, Benjamin I. P. Rubinstein:
A Note on Bounding Regret of the C$^2$UCB Contextual Combinatorial Bandit. - Sascha Fleer, Alexandra Moringen, Roberta L. Klatzky, Helge J. Ritter:
Learning efficient haptic shape exploration with a rigid tactile sensor array. - Luca Morreale, Andrea Romanoni, Matteo Matteucci:
Dense 3D Visual Mapping via Semantic Simplification. - Yannick Forster, Fabian Kunze, Marc Roth:
The Weak Call-By-Value λ-Calculus is Reasonable for Both Time and Space. - Shujun Wang, Lequan Yu, Xin Yang, Chi-Wing Fu, Pheng-Ann Heng:
Patch-based Output Space Adversarial Learning for Joint Optic Disc and Cup Segmentation. - Bernhard Schmitzer, Klaus P. Schäfers, Benedikt Wirth:
Dynamic Cell Imaging in PET with Optimal Transport Regularization. - Kristijonas Cyras, Tiago Oliveira:
Resolving Conflicts in Clinical Guidelines using Argumentation. - Michal Kempka, Wojciech Kotlowski, Manfred K. Warmuth:
Adaptive scale-invariant online algorithms for learning linear models. - Yuan Cao, Yonglin Cao, Fang-Wei Fu, Jian Gao:
Self-dual binary $[8m, 4m]$-codes constructed by left ideals of the dihedral group algebra $\mathbb{F}_2[D_{8m}]$. - Akira Imakura, Tetsuya Sakurai:
Data collaboration analysis for distributed datasets. - Mounir Bensalem, Sandeep Kumar Singh, Admela Jukan:
Machine Learning Techniques to Detecting and Preventing Jamming Attacks in Optical Networks. - Francesco Pierri, Stefano Ceri:
False News On Social Media: A Data-Driven Survey. - Souma Mazumdar, Amrik Singh, Supriyo Dutta, Sandeep Kumar Yadav, Partha Guha:
From Sharma-Mittal to von-Neumann Entropy of a Graph. - Canhui Wang, Xiaowen Chu, Qin Yang:
Measurement and Analysis of the Bitcoin Networks: A View from Mining Pools. - Mohit Sethi, Aleksi Peltonen, Tuomas Aura:
Misbinding Attacks on Secure Device Pairing. - Daniel Funke, Peter Sanders, Vincent Winkler:
Load-Balancing for Parallel Delaunay Triangulations. - Jelle Don, Serge Fehr, Christian Majenz, Christian Schaffner:
Security of the Fiat-Shamir Transformation in the Quantum Random-Oracle Model. - Filip de Roos, Philipp Hennig:
Active Probabilistic Inference on Matrices for Pre-Conditioning in Stochastic Optimization. - Arnold Filtser, Omrit Filtser, Matthew J. Katz:
Approximate Nearest Neighbor for Curves - Simple, Efficient, and Deterministic. - Han Zhu, Daqing Chang, Ziru Xu, Pengye Zhang, Xiang Li, Jie He, Han Li, Jian Xu, Kun Gai:
Joint Optimization of Tree-based Index and Deep Model for Recommender Systems. - Katerina Altmanová, Petr Kolman, Jan Voborník:
On Polynomial-Time Combinatorial Algorithms for Maximum $L$-Bounded Flow. - Maziar M. Nekovee:
Opportunities and Enabling Technologies for 5G Spectrum Sharing. - Marcel Binz, Dominik Endres:
Emulating Human Developmental Stages with Bayesian Neural Networks. - Marcel Binz, Dominik Endres:
Where Do Human Heuristics Come From? - Zhengchun Liu, Tekin Bicer, Rajkumar Kettimuthu, Doga Gürsoy, Francesco De Carlo, Ian T. Foster:
TomoGAN: Low-Dose X-Ray Tomography with Generative Adversarial Networks. - Iqbal H. Sarker:
A Machine Learning based Robust Prediction Model for Real-life Mobile Phone Data. - Zhang Yang, Aiqing Zhang, Zeyao Mo:
JArena: Partitioned Shared Memory for NUMA-awareness in Multi-threaded Scientific Applications. - Sara Khoshsokhan, Roozbeh Rajabi, Hadi Zayyani:
Sparsity Constrained Distributed Unmixing of Hyperspectral Data. - Dustin Cobas, Gonzalo Navarro:
Fast, Small, and Simple Document Listing on Repetitive Text Collections. - Jianze Li, Xiao-Ping (Steven) Zhang, Tuan Tran:
Point cloud denoising based on tensor Tucker decomposition. - Marek Petrik, Reazul Hasan Russel:
Beyond Confidence Regions: Tight Bayesian Ambiguity Sets for Robust MDPs. - Kenneth I. Aycock, Nuno Rebelo, Brent A. Craven:
Method of Manufactured Solutions Code Verification of Elastostatic Solid Mechanics Problems in a Commercial Finite Element Solver. - Saugata Ghose, Tianshi Li, Nastaran Hajinazar, Damla Senol Cali, Onur Mutlu:
Understanding the Interactions of Workloads and DRAM Types: A Comprehensive Experimental Study. - Siddharth Dalmia, Xinjian Li, Alan W. Black, Florian Metze:
Phoneme Level Language Models for Sequence Based Low Resource ASR. - Bingsheng Chen, Zhengyu Lin, Tim S. Evans:
Analysis of the Wikipedia Network of Mathematicians. - Gavin Weiguang Ding, Luyu Wang, Xiaomeng Jin:
advertorch v0.1: An Adversarial Robustness Toolbox based on PyTorch. - Mehryar Emambakhsh, Alessandro Bay, Eduard Vazquez:
Filtering Point Targets via Online Learning of Motion Models. - Sebastian Schams, Georg Groh:
Contributive Social Capital Extraction From Different Types of Online Data Sources. - Liam Li, Ameet Talwalkar:
Random Search and Reproducibility for Neural Architecture Search. - Xia Miao, Qixing Liu, Marija Ilic:
Enhanced Automatic Generation Control (E-AGC) for Electric Power Systems with Large Intermittent Renewable Energy Sources. - Victor Boutin, Angelo Franciosini, Franck Ruffier, Laurent Perrinet:
Meaningful representations emerge from Sparse Deep Predictive Coding. - Júlio C. S. Jacques Júnior, Cagri Ozcinar, Marina Marjanovic, Xavier Baró, Gholamreza Anbarjafari, Sergio Escalera:
On the effect of age perception biases for real age regression. - Bartosz Wójcik, Lukasz Maziarka, Jacek Tabor:
LOSSGRAD: automatic learning rate in gradient descent. - Paul W. Goldberg, Alexandros Hollender:
The Hairy Ball Problem is PPAD-Complete. - Xia Miao, Xiaofan Wu, Ulrich Münz, Marija Ilic:
Distribution Grid Admittance Estimation with Limited Non-Synchronized Measurements. - Max Bannach, Malte Skambath, Till Tantau:
Towards Work-Efficient Parallel Parameterized Algorithms. - Lukas Pfannschmidt, Jonathan Jakob, Michael Biehl, Peter Tiño, Barbara Hammer:
Feature Relevance Bounds for Ordinal Regression. - (Withdrawn) Robust Structured Group Local Sparse Tracker Using Deep Features.
- Mark Neumann, Daniel King, Iz Beltagy, Waleed Ammar:
ScispaCy: Fast and Robust Models for Biomedical Natural Language Processing. - Vahid Jamali, Antonia M. Tulino, Georg Fischer, Ralf R. Müller, Robert Schober:
Reflect- and Transmit-Array Antennas for Scalable and Energy-Efficient mmWave Massive MIMO. - Xu Du, Yin Sun, Ness B. Shroff, Ashutosh Sabharwal:
Balance Queueing and Retransmission: Latency-Optimal Massive MIMO Design. - Mohamed Mostafa:
Modelling and Analysing Behaviours and Emotions via Complex User Interactions. - Sergey Goncharov, Renato Neves:
An Adequate While-Language for Hybrid Computation. - Mohammad Gheshlaghi Azar, Bilal Piot, Bernardo A. Pires, Jean-Bastien Grill, Florent Altché, Rémi Munos:
World Discovery Models. - Hengtao Guo, Uwe Kruger, Ge Wang, Mannudeep K. Kalra, Pingkun Yan:
Knowledge-based Analysis for Mortality Prediction from CT Images. - Feichen Shen:
Towards Semantic Big Graph Analytics for Cross-Domain Knowledge Discovery. - Jinghui Cheng, Jin L. C. Guo:
How Do the Open Source Communities Address Usability and UX Issues? An Exploratory Study. - Wenting Wang, Jinghui Cheng, Jin L. C. Guo:
Usability of Virtual Reality Application Through the Lens of the User Community: A Case Study. - Masatoshi Yamaguchi, Goki Iwamoto, Hakaru Tamukoh, Takashi Morie:
An Energy-efficient Time-domain Analog VLSI Neural Network Processor Based on a Pulse-width Modulation Approach. - Emre Sariyildiz, Hiromu Sekiguchi, Takahiro Nozaki, Barkan Ugurlu, Kouhei Ohnishi:
A Stability Analysis for the Acceleration-based Robust Position Control of Robot Manipulators via Disturbance Observer. - Robert Seidel:
Orthogonal Matching Pursuit with Tikhonov and Landweber Regularization. - Ece Naz Erdemir, Pier Luigi Dragotti, Deniz Gündüz:
Privacy-cost trade-off in a smart meter system with a renewable energy source and a rechargeable battery. - Pedro Cabalar, Jorge Fandinno, Luis Fariñas del Cerro:
Founded World Views with Autoepistemic Equilibrium Logic. - Justin Fu, Anoop Korattikara, Sergey Levine, Sergio Guadarrama:
From Language to Goals: Inverse Reinforcement Learning for Vision-Based Instruction Following. - Ziran Wang, Kyungtae Han, BaekGyu Kim, Guoyuan Wu, Matthew J. Barth:
Lookup Table-Based Consensus Algorithm for Real-Time Longitudinal Motion Control of Connected and Automated Vehicles. - Amrita Roy Chowdhury, Chenghong Wang, Xi He, Ashwin Machanavajjhala, Somesh Jha:
Outis: Crypto-Assisted Differential Privacy on Untrusted Servers. - Natasha Jarus, Sahra Sedigh Sarvestani, Ali R. Hurson:
Formalizing Cyber-Physical System Model Transformation via Abstract Interpretation. - Lukás Jendele, Ondrej Skopek, Anton S. Becker, Ender Konukoglu:
Adversarial Augmentation for Enhancing Classification of Mammography Images. - Rusheng Zhang, Lin Song, Adhishree Jaiprakash, Timothy Talty, Ammar S. Alanazi, Abdullah Alghafis, A. Ahmed Biyabani, Ozan K. Tonguz:
Using Ultra-Wideband Technology in Vehicles for Infrastructure-free Localization. - Xingtong Liu, Ayushi Sinha, Masaru Ishii, Gregory D. Hager, Austin Reiter, Russell H. Taylor, Mathias Unberath:
Self-supervised Learning for Dense Depth Estimation in Monocular Endoscopy. - Jannick P. Rolland, Frank A. Biocca, Felix G. Hamza-Lup, Yanggang Ha, Ricardo Martins:
Development of Head-Mounted Projection Displays for Distributed, Collaborative, Augmented Reality Applications. - Suelen Gasparin, Denys Dutykh, Nathan Mendes:
A spectral method for solving heat and moisture transfer through consolidated porous media. - Diego Gragnaniello, Francesco Marra, Giovanni Poggi, Luisa Verdoliva:
Perceptual Quality-preserving Black-Box Attack against Deep Learning Image Classifiers. - Timotheus Kampik, Juan Carlos Nieves, Helena Lindgren:
Empathic Autonomous Agents. - Ashish Dwivedi, Rajat Mittal, Nitin Saxena:
Counting basic-irreducible factors mod $p^k$ in deterministic poly-time and $p$-adic applications. - Nikhil Rangarajan, Satwik Patnaik, Johann Knechtel, Ozgur Sinanoglu, Shaloo Rakheja:
SMART: Secure Magnetoelectric AntifeRromagnet-Based Tamper-Proof Non-Volatile Memory. - Xueying Guo, Xiaoxiao Wang, Xin Liu:
AdaLinUCB: Opportunistic Learning for Contextual Bandits. - Felix G. Hamza-Lup, Faith-Anne L. Kocadag:
Simulating Forces - Learning Through Touch, Virtual Laboratories. - Michael M. Vitousek, Jeremy G. Siek, Avik Chaudhuri:
Optimizing and Evaluating Transient Gradual Typing. - Sagi Eppel:
Class-independent sequential full image segmentation, using a convolutional net that finds a segment within an attention region, given a pointer pixel within this segment. - Therese Biedl:
Finding big matchings in planar graphs quickly. - Hongtao Lin, Jun Yan, Meng Qu, Xiang Ren:
Learning Dual Retrieval Module for Semi-supervised Relation Extraction. - Tianxiao Shen, Myle Ott, Michael Auli, Marc'Aurelio Ranzato:
Mixture Models for Diverse Machine Translation: Tricks of the Trade. - Albert Haque, Michelle Guo, Prateek Verma, Li Fei-Fei:
Audio-Linguistic Embeddings for Spoken Sentences. - Joachim Niehren, David Sabel:
Proceedings Fifth International Workshop on Rewriting Techniques for Program Transformations and Evaluation, WPTE@FSCD 2018, Oxford, England, 8th July 2018. EPTCS 289, 2019 [contents] - Kang Huang, Wanchun Liu, Yonghui Li, Branka Vucetic:
To Retransmit or Not: Real-Time Remote Estimation in Wireless Networked Control. - Yun Tang, Guohong Ding, Jing Huang, Xiaodong He, Bowen Zhou:
Deep Speaker Embedding Learning with Multi-Level Pooling for Text-Independent Speaker Verification. - Lingxiao Huang, Nisheeth K. Vishnoi:
Stable and Fair Classification. - Di Feng, Christian Haase-Schütz, Lars Rosenbaum, Heinz Hertlein, Fabian Duffhauss, Claudius Gläser, Werner Wiesbeck, Klaus Dietmayer:
Deep Multi-modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges. - Yilun Zhou, Steven Schockaert, Julie A. Shah:
Predicting ConceptNet Path Quality Using Crowdsourced Assessments of Naturalness. - Alexander Kirichenko, Mariam Kamkar, J. Walter, Igor V. Vernik:
ERSFQ 8-bit Parallel Binary Shifter for Energy-Efficient Superconducting CPU. - Zhihui Su, Ming Ye, Guohui Zhang, Lei Dai, Jianda Sheng:
Improvement Multi-Stage Model for Human Pose Estimation. - José David Vega Sánchez, Diana Pamela Moya Osorio, Edgar Eduardo Benitez Olivo, Hirley Alves, Martha C. Paredes Paredes, Luis Urquiza-Aguiar:
On the Statistics of the Ratio of Non-Constrained Arbitrary α-μ Random Variables: a General Framework and Applications. - (Withdrawn) Gradient Scheduling with Global Momentum for Non-IID Data Distributed Asynchronous Training.
- Shuochao Yao, Ailing Piao, Wenjun Jiang, Yiran Zhao, Huajie Shao, Shengzhong Liu, Dongxin Liu, Jinyang Li, Tianshi Wang, Shaohan Hu, Lu Su, Jiawei Han, Tarek F. Abdelzaher:
STFNets: Learning Sensing Signals from the Time-Frequency Perspective with Short-Time Fourier Neural Networks. - Yijie Mao, Bruno Clerckx, Victor O. K. Li:
Rate-Splitting for Multi-User Multi-Antenna Wireless Information and Power Transfer. - Anupam Gupta, Haotian Jiang, Ziv Scully, Sahil Singla:
The Markovian Price of Information. - George Leu, Jiangjun Tang:
Survivable Networks via UAV Swarms Guided by Decentralized Real-Time Evolutionary Computation. - Xun Zou, Mehdi Ganji, Hamid Jafarkhani:
Cooperative Asynchronous Non-Orthogonal Multiple Access with Power Minimization Under QoS Constraints. - Ramakrishna Vedantam, Karan Desai, Stefan Lee, Marcus Rohrbach, Dhruv Batra, Devi Parikh:
Probabilistic Neural-symbolic Models for Interpretable Visual Question Answering. - Peixiang Zhong, Chunyan Miao:
ntuer at SemEval-2019 Task 3: Emotion Classification with Word and Sentence Representations in RCNN. - Lei Li, Fuping Wu, Guang Yang, Lingchao Xu, Tom Wong, Raad Mohiaddin, David N. Firmin, Jennifer Keegan, Xiahai Zhuang:
Atrial Scar Quantification via Multi-scale CNN in the Graph-cuts Framework. - Xiahai Zhuang, Lei Li, Christian Payer, Darko Stern, Martin Urschler, Mattias P. Heinrich, Julien Oster, Chunliang Wang, Örjan Smedby, Cheng Bian, Xin Yang, Pheng-Ann Heng, Aliasghar Mortazi, Ulas Bagci, Guanyu Yang, Chenchen Sun, Gaetan Galisot, Jean-Yves Ramel, Thierry Brouard, Qianqian Tong, Weixin Si, Xiangyun Liao, Guodong Zeng, Zenglin Shi, Guoyan Zheng, Chengjia Wang, Tom J. MacGillivray, David E. Newby, Kawal S. Rhode, Sébastien Ourselin, Raad Mohiaddin, Jennifer Keegan, David N. Firmin, Guang Yang:
Evaluation of Algorithms for Multi-Modality Whole Heart Segmentation: An Open-Access Grand Challenge. - Guilei Hu, Yang Xiao, Zhiguo Cao, Lubin Meng, Zhiwen Fang, Joey Tianyi Zhou:
Towards Real-time Eyeblink Detection in The Wild: Dataset, Theory and Practices. - Yackolley Amoussou-Guenou, Bruno Biais, Maria Potop-Butucaru, Sara Tucci Piergiovanni:
Rationals vs Byzantines in Consensus-based Blockchains. - Alice Yi Yang, Ling Cheng:
Long-Bone Fracture Detection using Artificial Neural Networks based on Contour Features of X-ray Images. - Theodoros Toliopoulos, Anastasios Gounaris, Kostas Tsichlas, Apostolos Papadopoulos, Sandra Sampaio:
Continuous Outlier Mining of Streaming Data in Flink. - Guiying Zhang, Yuxin Cui, Yong Zhao, Jianjun Hu:
ComplexFace: a Multi-Representation Approach for Image Classification with Small Dataset. - Yujiao Lu, Hancheng Lu, Liangliang Cao, Feng Wu, Daren Zhu:
Learning Deterministic Policy with Target for Power Control in Wireless Networks. - Eric Wong, Frank R. Schmidt, J. Zico Kolter:
Wasserstein Adversarial Examples via Projected Sinkhorn Iterations. - Rafael Oliveira, Lionel Ott, Fabio Ramos:
Bayesian optimisation under uncertain inputs. - Zohaib Latif, Kashif Sharif, Fan Li, Md. Monjurul Karim, Yu Wang:
A Comprehensive Survey of Interface Protocols for Software Defined Networks. - Denis Demidov, Klaus M. Frahm, Dima L. Shepelyansky:
What is the central bank of Wikipedia? - Amir Valibeygi, Abdulelah H. Habib, Raymond A. de Callafon:
Robust Power Scheduling for Microgrids with Uncertainty in Renewable Energy Generation. - John Iacono, Varunkumar Jayapaul, Ben Karsin:
Locality. - H. Murat Gursu, Wolfgang Kellerer, Cedomir Stefanovic:
On Throughput Maximization of Grant-Free Access with Reliability-Latency Constraints. - Edith Elkind, Jiarui Gan, Ayumi Igarashi, Warut Suksompong, Alexandros A. Voudouris:
Schelling Games on Graphs. - Rezka Leonandya, Fariz Ikhwantri:
Pretrained language model transfer on neural named entity recognition in Indonesian conversational texts. - H. Murat Gursu, Fuqi Guan, Wolfgang Kellerer:
Hard Latency-Constraints for High-Throughput Random Access: SICQTA. - Ankan Mullick, Sayan Ghosh, Ritam Dutt, Avijit Ghosh, Abhijnan Chakraborty:
Public Sphere 2.0: Targeted Commenting in Online News Media. - Mohammad Hossein Yassaee:
Almost exact analysis of soft covering lemma via large deviation. - Mateus Espadoto, Nina S. T. Hirata, Alexandru C. Telea:
Deep Learning Multidimensional Projections. - Volodymyr Yu. Sokolov, O. Y. Korzhenko:
Analysis of Recent Attacks based on Social Engineering Techniques. - Jun Li, Daoyu Lin, Yang Wang, Guangluan Xu, Chibiao Ding:
Deep Discriminative Representation Learning with Attention Map for Scene Classification. - Nadja Gruber, Stephan Antholzer, Werner Jaschke, Christian Kremser, Markus Haltmeier:
A Joint Deep Learning Approach for Automated Liver and Tumor Segmentation. - Yuval Kochman, Or Ordentlich, Yury Polyanskiy:
A Lower Bound on the Expected Distortion of Joint Source-Channel Coding. - Shuming Jiao, Yang Gao, Ting Lei, Zhenwei Xie, Xiaocong Yuan:
A Parallel Optical Image Security System with Cascaded Phase-only Masks. - Krishnendu Chatterjee, Amir Kafshdar Goharshady, Arash Pourdamghani:
Probabilistic Smart Contracts: Secure Randomness on the Blockchain. - Yong Zhao, Shibiao Xu, Shuhui Bu, Hongkai Jiang, Pengcheng Han:
GSLAM: A General SLAM Framework and Benchmark. - Michael Adam Lones:
Mitigating Metaphors: A Comprehensible Guide to Recent Nature-Inspired Algorithms. - Aleksei Y. Kondratev, Alexander S. Nesterov:
Minimal Envy and Popular Matchings. - Florian Bridoux, Maximilien Gadouleau, Guillaume Theyssier:
Expansive Automata Networks. - A. S. Smirnov, A. V. Tumialis, K. S. Golokhvast:
Development of Internet of Things, Augmented Reality and 5G technologies (review). - Zeyu Cui, Zekun Li, Shu Wu, Xiaoyu Zhang, Liang Wang:
Dressing as a Whole: Outfit Compatibility Learning Based on Node-wise Graph Neural Networks. - Mohamed A. Bamakhrama, Alejandro Arrizabalaga, Frank Overman, Jean-Paul Smeets, Kornel van der Sommen, Remko van der Vossen, John Wagensveld:
GPU Acceleration of Real-Time Control Loops. - Pragnya Alatur, Kfir Y. Levy, Andreas Krause:
Multi-Player Bandits: The Adversarial Case. - Rui Zhao, Volker Tresp:
Curiosity-Driven Experience Prioritization via Density Estimation. - Ilias K. Savvas, M. Tahar Kechadi:
Dynamic task scheduling in computing cluster environments. - Hari Hara Suthan C, Prasad Krishnan:
Low Subpacketization Coded Caching via Projective Geometry for Broadcast and D2D networks. - Johannes Bund, Christoph Lenzen, Will Rosenbaum:
Fault Tolerant Gradient Clock Synchronization. - Hai-Jun Zhou:
Active online learning in the binary perceptron problem. - Paul Brunet:
A complete axiomatisation of reversible Kleene lattices. - Jindong Chen, Yizhou Hu, Jingping Liu, Yanghua Xiao, Haiyun Jiang:
Deep Short Text Classification with Knowledge Powered Attention. - Uthman Baroudi, M. Alharbi, K. Alhouty, H. Baafeef, K. Alofi:
Cloud-Based Autonomous Indoor Navigation: A Case Study. - Kevin Buchin, Anne Driemel, Martijn Struijs:
On the hardness of computing an average curve. - David M. Cerna, Alexander Leitsch, Anela Lolic:
Schematic Refutations of Formula Schemata. - Mutsuko Tomokiyo, Mathieu Mangeot, Christian Boitet:
Development of a classifiers/quantifiers dictionary towards French-Japanese MT. - Yan Gao, Yang Long, Yu Guan, Anna Basu, Jessica Baggaley, Thomas Ploetz:
Towards Reliable, Automated General Movement Assessment for Perinatal Stroke Screening in Infants Using Wearable Accelerometers. - Avery Miller, Boaz Patt-Shamir, Will Rosenbaum:
With Great Speed Come Small Buffers: Space-Bandwidth Tradeoffs for Routing. - Reshef Meir:
Strategyproof Facility Location for Three Agents. - Octavian-Eugen Ganea, Sylvain Gelly, Gary Bécigneul, Aliaksei Severyn:
Breaking the Softmax Bottleneck via Learnable Monotonic Pointwise Non-linearities. - Talya Eden, Dana Ron, Will Rosenbaum:
The Arboricity Captures the Complexity of Sampling Edges. - Masataro Asai:
Unsupervised Grounding of Plannable First-Order Logic Representation from Images. - Gianluca Frison, Tommaso Sartor, Andrea Zanelli, Moritz Diehl:
The BLAS API of BLASFEO: optimizing performance for small matrices. - Rui Chen, Christos G. Cassandras, Amin Tahmasbi-Sarvestani:
Time and Energy Optimal Lane Change Maneuvers for Cooperating Connected Automated Vehicles. - Fernando Alonso-Fernandez, Kiran B. Raja, Ramachandra Raghavendra, Christoph Busch, Josef Bigün, Rubén Vera-Rodríguez, Julian Fiérrez:
Cross-Sensor Periocular Biometrics: A Comparative Benchmark including Smartphone Authentication. - Girish Joshi, Girish Chowdhary:
Hybrid Direct-Indirect Adaptive Control of Nonlinear System with Unmatched Uncertainty. - Qikui Zhu, Bo Du, Pingkun Yan:
Boundary-weighted Domain Adaptive Neural Network for Prostate MR Image Segmentation. - Greg Yang, Jeffrey Pennington, Vinay Rao, Jascha Sohl-Dickstein, Samuel S. Schoenholz:
A Mean Field Theory of Batch Normalization. - Stefan Wildhagen, Matthias A. Müller, Frank Allgöwer:
Economic MPC using a Cyclic Horizon with Application to Networked Control Systems. - Botos Csaba, Adnane Boukhayma, Viveka Kulharia, András Horváth, Philip H. S. Torr:
Domain Partitioning Network. - David Dubray, Jochen Laubrock:
Deep CNN-based Speech Balloon Detection and Segmentation for Comic Books. - Christian Sciuto, Kaicheng Yu, Martin Jaggi, Claudiu Musat, Mathieu Salzmann:
Evaluating the Search Phase of Neural Architecture Search. - Manfred Droste, Paul Gastin:
Aperiodic Weighted Automata and Weighted First-Order Logic. - Steven K. Esser, Jeffrey L. McKinstry, Deepika Bablani, Rathinakumar Appuswamy, Dharmendra S. Modha:
Learned Step Size Quantization. - Maxime Gabella, Nitya Afambo, Stefania Ebli, Gard Spreemann:
Topology of Learning in Artificial Neural Networks. - Nikhil Das, Michael C. Yip:
Learning-Based Proxy Collision Detection for Robot Motion Planning Applications. - Sirisha Rambhatla, Xingguo Li, Jarvis D. Haupt:
A Dictionary Based Generalization of Robust PCA. - Holden Lee, Oren Mangoubi, Nisheeth K. Vishnoi:
Online Sampling from Log-Concave Distributions. - Paulo F. Gomes, Sandro M. Reia, José F. Fontanari:
Policies for growth of influence networks in task-oriented groups: elitism and egalitarianism outperform welfarism. - Yoojin Choi, Mostafa El-Khamy, Jungwon Lee:
Jointly Sparse Convolutional Neural Networks in Dual Spatial-Winograd Domains. - David Harwath, James R. Glass:
Towards Visually Grounded Sub-Word Speech Unit Discovery. - Lin Chen, Dániel Marx:
Covering a tree with rooted subtrees. - Ke Sun, Iñaki Esnaola, Antonia M. Tulino, H. Vincent Poor:
Learning requirements for stealth attacks. - Chandrajit Bajaj, Tianming Wang:
Blind Hyperspectral-Multispectral Image Fusion via Graph Laplacian Regularization. - Fuli Feng, Xiangnan He, Jie Tang, Tat-Seng Chua:
Graph Adversarial Training: Dynamically Regularizing Based on Graph Structure. - A. Cengiz Öztireli:
A Comprehensive Theory and Variational Framework for Anti-aliasing Sampling Patterns. - Peng Chu, Heng Fan, Chiu C. Tan, Haibin Ling:
Online Multi-Object Tracking with Instance-Aware Tracker and Dynamic Model Refreshment. - Yassine Benyahia, Kaicheng Yu, Kamil Bennani-Smires, Martin Jaggi, Anthony C. Davison, Mathieu Salzmann, Claudiu Musat:
Overcoming Multi-Model Forgetting. - Yeming Wen, Kevin Luk, Maxime Gazeau, Guodong Zhang, Harris Chan, Jimmy Ba:
Interplay Between Optimization and Generalization of Stochastic Gradient Descent with Covariance Noise. - Jiachen Wang, Riqiang Gao, Yuankai Huo, Shunxing Bao, Yunxi Xiong, Sanja Antic, Travis Osterman, Pierre P. Massion, Bennett A. Landman:
Lung Cancer Detection using Co-learning from Chest CT Images and Clinical Demographics. - Matthew Horridge, Rafael S. Gonçalves, Csongor I. Nyulas, Mark A. Musen:
WebProtégé: A Cloud-Based Ontology Editor. - Yingtao Tian, Jesse H. Engel:
Latent Translation: Crossing Modalities by Bridging Generative Models. - Merav Parter, Ronitt Rubinfeld, Ali Vakilian, Anak Yodpinyanee:
Local Computation Algorithms for Spanners. - Il Yong Chun, David Hong, Ben Adcock, Jeffrey A. Fessler:
Convolutional Analysis Operator Learning: Dependence on Training Data. - Xikui Wang, Michael J. Carey:
An IDEA: An Ingestion Framework for Data Enrichment in AsterixDB. - Bruno Loff, Nelma Moreira, Rogério Reis:
The computational power of parsing expression grammars. - Ayan Mukhopadhyay, Geoffrey Pettet, Chinmaya Samal, Abhishek Dubey, Yevgeniy Vorobeychik:
An Online Decision-Theoretic Pipeline for Responder Dispatch. - Denys Bast, Iryna Kulchytska-Ruchka, Sebastian Schöps, Oliver Rain:
Accelerated Steady-State Torque Computation for Induction Machines using Parallel-In-Time Algorithms. - George T. Cantwell, Yanchen Liu, Benjamin F. Maier, Alice C. Schwarze, Carlos A. Serván, Jordan Snyder, Guillaume St-Onge:
Thresholding normally distributed data creates complex networks. - Babak Salimi, Luke Rodriguez, Bill Howe, Dan Suciu:
Capuchin: Causal Database Repair for Algorithmic Fairness. - Matthew Streeter:
Bayes Optimal Early Stopping Policies for Black-Box Optimization. - Martin J. Corless, Ankush Chakrabarty:
L2 Observers for a Class of Nonlinear Systems with Unknown Inputs. - Matthew Perron, Zeyuan Shang, Tim Kraska, Michael Stonebraker:
How I Learned to Stop Worrying and Love Re-optimization. - Jonathan Shen, Patrick Nguyen, Yonghui Wu, Zhifeng Chen, Mia Xu Chen, Ye Jia, Anjuli Kannan, Tara N. Sainath, Yuan Cao, Chung-Cheng Chiu, Yanzhang He, Jan Chorowski, Smit Hinsu, Stella Laurenzo, James Qin, Orhan Firat, Wolfgang Macherey, Suyog Gupta, Ankur Bapna, Shuyuan Zhang, Ruoming Pang, Ron J. Weiss, Rohit Prabhavalkar, Qiao Liang, Benoit Jacob, Bowen Liang, HyoukJoong Lee, Ciprian Chelba, Sébastien Jean, Bo Li, Melvin Johnson, Rohan Anil, Rajat Tibrewal, Xiaobing Liu, Akiko Eriguchi, Navdeep Jaitly, Naveen Ari, Colin Cherry, Parisa Haghani, Otavio Good, Youlong Cheng, Raziel Alvarez, Isaac Caswell, Wei-Ning Hsu, Zongheng Yang, Kuan-Chieh Wang, Ekaterina Gonina, Katrin Tomanek, Ben Vanik, Zelin Wu, Llion Jones, Mike Schuster, Yanping Huang, Dehao Chen, Kazuki Irie, George F. Foster, John Richardson, Klaus Macherey, Antoine Bruguier, Heiga Zen, Colin Raffel, Shankar Kumar, Kanishka Rao, David Rybach, Matthew Murray, Vijayaditya Peddinti, Maxim Krikun, Michiel Bacchiani, Thomas B. Jablin, Robert Suderman, Ian Williams, Benjamin Lee, Deepti Bhatia, Justin Carlson, Semih Yavuz, Yu Zhang, Ian McGraw, Max Galkin, Qi Ge, Golan Pundak, Chad Whipkey, Todd Wang, Uri Alon, Dmitry Lepikhin, Ye Tian, Sara Sabour, William Chan, Shubham Toshniwal, Baohua Liao, Michael Nirschl, Pat Rondon:
Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling. - Maher Nouiehed, Maziar Sanjabi, Tianjian Huang, Jason D. Lee, Meisam Razaviyayn:
Solving a Class of Non-Convex Min-Max Games Using Iterative First Order Methods. - Lane A. Hemaspaandra:
The Power of Self-Reducibility: Selectivity, Information, and Approximation. - Rusel Cierto Trinidad, Alcides Bernardo Tello:
Bottom-up strategy for data retrieval and data entry over front-end application Software. - Sirisha Rambhatla, Xingguo Li, Jineng Ren, Jarvis D. Haupt:
A Dictionary-Based Generalization of Robust PCA Part I: Study of Theoretical Properties. - Yinjie Huang, Cong Li, Michael Georgiopoulos, Georgios C. Anagnostopoulos:
Reduced-Rank Local Distance Metric Learning for k-NN Classification. - Ivo Trowitzsch, Jalil Taghia, Youssef Kashef, Klaus Obermayer:
The NIGENS General Sound Events Database. - Geoff Langdale, Daniel Lemire:
Parsing Gigabytes of JSON per Second. - Ting-Yao Hsu, Yen-Chia Hsu, Ting-Hao Kenneth Huang:
On How Users Edit Computer-Generated Visual Stories. - Jinyin Chen, Jian Zhang, Xuanheng Xu, Chengbo Fu, Dan Zhang, Qingpeng Zhang, Qi Xuan:
E-LSTM-D: A Deep Learning Framework for Dynamic Network Link Prediction. - Gavin Weiguang Ding, Kry Yik Chau Lui, Xiaomeng Jin, Luyu Wang, Ruitong Huang:
On the Sensitivity of Adversarial Robustness to Input Data Distributions. - Noah Stephens-Davidowitz:
A time-distance trade-off for GDD with preprocessing - Instantiating the DLW heuristic. - Rajiv Bajpai, Devamanyu Hazarika, Kunal Singh, Sruthi Gorantla, Erik Cambria, Roger Zimmermann:
Aspect-Sentiment Embeddings for Company Profiling and Employee Opinion Mining. - Tian Lin, Jiaqi Cong, Yu Zhu, Jun Zhang, Khaled Ben Letaief:
Hybrid Beamforming for Millimeter Wave Systems Using the MMSE Criterion. - Mauricio Ayala-Rincón, Maribel Fernández, Daniele Nantes-Sobrinho:
On Nominal Syntax and Permutation Fixed Points. - Min Zhao, Jie Chen, Zhe He:
A laboratory-created dataset with ground-truth for hyperspectral unmixing evaluation. - Aswin Raghavan, Jesse Hostetler, Sek M. Chai:
Generative Memory for Lifelong Reinforcement Learning. - Lou Zhao, Jiajia Guo, Zhiqiang Wei, Derrick Wing Kwan Ng, Jinhong Yuan:
A Distributed Multi-RF Chain Hybrid mmWave Scheme for Small-cell Systems. - Sang-Woo Lee, Tong Gao, Sohee Yang, Jaejun Yoo, Jung-Woo Ha:
Large-Scale Answerer in Questioner's Mind for Visual Dialog Question Generation. - Long Cheng, Hans Liljestrand, Thomas Nyman, Yu Tsung Lee, Danfeng Yao, Trent Jaeger, N. Asokan:
Exploitation Techniques and Defenses for Data-Oriented Attacks. - (Withdrawn) A simple upper bound for trace function of a hypergraph with applications.
- Igor Labutov, Bishan Yang, Tom M. Mitchell:
Learning to Learn Semantic Parsers from Natural Language Supervision. - Senthil Hariharan Arul, Adarsh Jagan Sathyamoorthy, Shivang Patel, Michael W. Otte, Huan Xu, Ming C. Lin, Dinesh Manocha:
LSwarm: Efficient Collision Avoidance for Large Swarms with Coverage Constraints in Complex Urban Scenes. - Andrey Boris Khesin, Aleksandar Nikolov, Dmitry Paramonov:
Preconditioning for the Geometric Transportation Problem. - Meysam Sadeghi, Erik G. Larsson:
Physical Adversarial Attacks Against End-to-End Autoencoder Communication Systems. - Xianbin Wang, Huazi Zhang, Rong Li, Lingchen Huang, Shengchen Dai, Yourui Huangfu, Jun Wang:
Learning to Flip Successive Cancellation Decoding of Polar Codes with LSTM Networks. - Marcelo Daniel Gutierrez Mallea, Peter Meltzer, Peter J. Bentley:
Capsule Neural Networks for Graph Classification using Explicit Tensorial Graph Representations. - Mohamed Ishmael Belghazi, Maxime Oquab, Yann LeCun, David Lopez-Paz:
Learning about an exponential amount of conditional distributions. - Chinmay Maheshwari, Srikant Sukumar, Debasish Chatterjee:
On optimal multiplexing of an ensemble of discrete-time constrained control systems on matrix Lie groups. - Elena Pastorelli, Cristiano Capone, Francesco Simula, Maria V. Sanchez-Vives, Paolo Del Giudice, Maurizio Mattia, Pier Stanislao Paolucci:
Scaling of a large-scale simulation of synchronous slow-wave and asynchronous awake-like activity of a cortical model with long-range interconnections. - Daniel Zügner, Stephan Günnemann:
Adversarial Attacks on Graph Neural Networks via Meta Learning. - David Venhoek, Joshua Moerman, Jurriaan Rot:
Fast Computations on Ordered Nominal Sets. - Andrei-Sebastian Buruiana, Stefan Ciobaca:
Reducing Total Correctness to Partial Correctness by a Transformation of the Language Semantics. 1-16 - David Sabel:
Automating the Diagram Method to Prove Correctness of Program Transformations. 17-33 - Yoshiaki Kanazawa, Naoki Nishida:
On Transforming Functions Accessing Global Variables into Logically Constrained Term Rewriting Systems. 34-52 - Manfred Schmidt-Schauß, Nils Dallmeyer:
Optimizing Space of Parallel Processes. 53-67 - Naoki Nishida, Yuya Maeda:
On Transforming Narrowing Trees into Regular Tree Grammars Generating Ranges of Substitutions. 68-87 - Volodymyr Buriachok, Volodymyr Sokolov:
Using 2.4 GHz Wireless Botnets to Implement Denial-of-Service Attacks. - Clemens Huemer, Pablo Pérez-Lantero, Carlos Seara, Rodrigo I. Silveira:
Matching points with disks with a common intersection. - Vanderson Martins do Rosario, Edson Borin, Maurício Breternitz Jr.:
The Multi-Lane Capsule Network (MLCN). - Volodymyr Buriachok, Volodymyr Sokolov:
Low-Cost Spectrum Analyzers for Channel Allocation in Wireless Networks 2.4 GHz Range. - Chelsea Finn, Aravind Rajeswaran, Sham M. Kakade, Sergey Levine:
Online Meta-Learning. - Mauro Barni, Ehsan Nowroozi, Benedetta Tondi:
Improving the Security of Image Manipulation Detection through One-and-a-half-class Multiple Classification. - Andrea Borghesi, Antonio Libri, Luca Benini, Andrea Bartolini:
Online Anomaly Detection in HPC Systems. - Andreas Bunte, Andreas Fischbach, Jan Strohschein, Thomas Bartz-Beielstein, Heide Faeskorn-Woyke, Oliver Niggemann:
Evaluation of Cognitive Architectures for Cyber-Physical Production Systems. - Oren Mangoubi, Nisheeth K. Vishnoi:
Nonconvex sampling with the Metropolis-adjusted Langevin algorithm. - Dennis Tatang, Florian Quinkert, Nico Dolecki, Thorsten Holz:
A Study of Newly Observed Hostnames and DNS Tunneling in the Wild. - Juho Lauri, Sourav Dutta:
Fine-grained Search Space Classification for Hard Enumeration Variants of Subset Problems. - Guanchu Wang, Chen Gong, Zhimeng Jiang, Zhengyuan Xu:
A Doub-station Access Protocol based on CSMA/CA for Optical Wireless Networks. - Mohamed Souhayel Abassi:
Diversity of Ensembles for Data Stream Classification. - Deepak Mishra, Håkan Johansson:
Optimal Channel Estimation for Hybrid Energy Beamforming under Phase Shifter Impairments. - Gabriele Abbati, Philippe Wenk, Stefan Bauer, Michael A. Osborne, Andreas Krause, Bernhard Schölkopf:
AReS and MaRS - Adversarial and MMD-Minimizing Regression for SDEs. - Benjamin Danglot, Martin Monperrus, Walter Rudametkin, Benoit Baudry:
An Approach and Benchmark to Detect Behavioral Changes of Commits in Continuous Integration. - Alexandra Burashnikova, Yury Maximov, Massih-Reza Amini:
Sequential Learning over Implicit Feedback for Robust Large-Scale Recommender Systems. - Ashadullah Shawon, Syed Tauhid Zuhori, Firoz Mahmud, Md. Jamil-Ur Rahman:
Web Links Prediction And Category-Wise Recommendation Based On Browser History. - Cun Mu, Jun Zhao, Guang Yang, Binwei Yang, Zheng Yan:
Empowering Elasticsearch with Exact and Fast $r$-Neighbor Search in Hamming Space. - Nibesh Shrestha, Mohan Kumar:
Revisiting hBFT: Speculative Byzantine Fault Tolerance with Minimum Cost. - Yaser Ghaedsharaf, Milad Siami, Christoforos Somarakis, Nader Motee:
Centrality in Time-Delay Consensus Networks with Structured Uncertainties. - El Mehdi Benhani, Lilian Bossuet:
DVFS as a Security Failure of TrustZone-enabled Heterogeneous SoC. - Zafar Saeed, Rabeeh Ayaz Abbasi, Muhammad Imran Razzak, Guandong Xu:
Event Detection in Twitter Stream using Weighted Dynamic Heartbeat Graph Approach. - Xiaoxiao He, Chaowei Tan, Yuting Qiao, Virak Tan, Dimitris N. Metaxas, Kang Li:
Effective 3D Humerus and Scapula Extraction using Low-contrast and High-shape-variability MR Data. - Yongpeng Wu, Chao-Kai Wen, Wen Chen, Shi Jin, Robert Schober, Giuseppe Caire:
Data-Aided Secure Massive MIMO Transmission under the Pilot Contamination Attack. - Wennan Zhu, Peter Kairouz, Haicheng Sun, Brendan McMahan, Wei Li:
Federated Heavy Hitters Discovery with Differential Privacy. - Michelle Valente, Cyril Joly, Arnaud de La Fortelle:
An LSTM Network for Real-Time Odometry Estimation. - Abbas Abou Daya, Mohammad A. Salahuddin, Noura Limam, Raouf Boutaba:
A Graph-Based Machine Learning Approach for Bot Detection. - Mohammad G. Khoshkholgh, Keivan Navaie, Halim Yanikomeroglu, Victor C. M. Leung, Kang G. Shin:
How Do Non-Ideal UAV Antennas Affect Air-to-Ground Communications? - Mohammad G. Khoshkholgh, Keivan Navaie, Halim Yanikomeroglu, Victor C. M. Leung, Kang G. Shin:
Randomized Caching in Cooperative UAV-Enabled Fog-RAN. - Xin Fu, Jia Yan, Cien Fan:
Image Aesthetics Assessment Using Composite Features from off-the-Shelf Deep Models. - Mohammad G. Khoshkholgh, Keivan Navaie, Halim Yanikomeroglu, Victor C. M. Leung, Kang G. Shin:
Coverage Performance of Aerial-Terrestrial HetNets. - Iván Blanco-Chacón:
Ring Learning With Errors: A crossroads between postquantum cryptography, machine learning and number theory. - Ziqi Yang, Ee-Chien Chang, Zhenkai Liang:
Adversarial Neural Network Inversion via Auxiliary Knowledge Alignment. - Xin Fu, Chengkai Zhang, Xiang Peng, Lihua Jian, Zheng Liu:
Towards end-to-end pulsed eddy current classification and regression with CNN. - Ranya Djihad Boulanouar, Aicha Batoul:
Skew Constacyclic and LCD Codes over $ \mathbb{F}_{q}+v \mathbb{F}_{q} $. - Jorge Louçã, António Fonseca:
Topology and dynamics of narratives on Brexit propagated by UK press during 2016 and 2017. - Fedor V. Fomin, Petr A. Golovach, Kirill Simonov:
Parameterized k-Clustering: The distance matters! - Yinfei Yang, Gustavo Hernández Ábrego, Steve Yuan, Mandy Guo, Qinlan Shen, Daniel Cer, Yun-Hsuan Sung, Brian Strope, Ray Kurzweil:
Improving Multilingual Sentence Embedding using Bi-directional Dual Encoder with Additive Margin Softmax. - Stephen L. France, Ulas Akkucuk:
A Review, Framework and R toolkit for Exploring, Evaluating, and Comparing Visualizations. - Jonathan Donier:
Capacity allocation through neural network layers. - Efe Aras, Kuan-Yun Lee, Ashwin Pananjady, Thomas A. Courtade:
A Family of Bayesian Cramér-Rao Bounds, and Consequences for Log-Concave Priors. - Jiaxi Tang, Francois Belletti, Sagar Jain, Minmin Chen, Alex Beutel, Can Xu, Ed H. Chi:
Towards Neural Mixture Recommender for Long Range Dependent User Sequences. - Larkin Liu, Richard Downe, Joshua Reid:
Multi-Armed Bandit Strategies for Non-Stationary Reward Distributions and Delayed Feedback Processes. - Oscar Sondermeijer, Roel Dobbe, Daniel Arnold, Claire J. Tomlin, Tamás Keviczky:
Regression-based Inverter Control for Decentralized Optimal Power Flow and Voltage Regulation. - Mahyar Taj Dini, Volodymyr Sokolov:
Penetration Tests for Bluetooth Low Energy and Zigbee using the Software-Defined Radio. - Mahyar Taj Dini, Volodymyr Sokolov:
Internet of Things Security Problems. - Gabriel Huang, Hugo Larochelle, Simon Lacoste-Julien:
Centroid Networks for Few-Shot Clustering and Unsupervised Few-Shot Classification. - Anirudh Paranjothi, Urcun Tanik, Yuehua Wang, Mohammad S. Khan:
Hybrid-Vehfog: A Robust Approach for Reliable Dissemination of Critical Messages in Connected Vehicles. - Jonathan P. Chang, Cristian Danescu-Niculescu-Mizil:
Trajectories of Blocked Community Members: Redemption, Recidivism and Departure. - Sindhu Ghanta, Sriram Subramanian, Lior Khermosh, Harshil Shah, Yakov Goldberg, Swaminathan Sundararaman, Drew S. Roselli, Nisha Talagala:
MPP: Model Performance Predictor. - Yinjie Huang, Michael Georgiopoulos, Georgios C. Anagnostopoulos:
Learning Hash Function through Codewords. - Fábio N. Kepler, Jonay Trénous, Marcos V. Treviso, Miguel Vera, André F. T. Martins:
OpenKiwi: An Open Source Framework for Quality Estimation. - Anupam Gupta, Tomer Koren, Kunal Talwar:
Better Algorithms for Stochastic Bandits with Adversarial Corruptions. - Benjamin Paul Chamberlain, Stephen R. Hardwick, David R. Wardrope, Fabon Dzogang, Fabio Daolio, Saúl Vargas:
Scalable Hyperbolic Recommender Systems. - Reza Ghaeini, Xiaoli Z. Fern, Hamed Shahbazi, Prasad Tadepalli:
Saliency Learning: Teaching the Model Where to Pay Attention. - Joel A. Tropp, Alp Yurtsever, Madeleine Udell, Volkan Cevher:
Streaming Low-Rank Matrix Approximation with an Application to Scientific Simulation. - Kaipeng Li, Oscar Castañeda, Charles Jeon, Joseph R. Cavallaro, Christoph Studer:
Decentralized Coordinate-Descent Data Detection and Precoding for Massive MU-MIMO. - Abigail See, Stephen Roller, Douwe Kiela, Jason Weston:
What makes a good conversation? How controllable attributes affect human judgments. - Hassan ZivariFard, Matthieu R. Bloch, Aria Nosratinia:
Secrecy Rates for a Channel With Two Senders and Two Receivers. - Jiayin Chen, Si Yan, Qiang Ye, Wei Quan, Phu Thinh Do, Weihua Zhuang, Xuemin Shen, Xu Li, Jaya Rao:
An SDN-Based Transmission Protocol with In-Path Packet Caching and Retransmission. - Tristan Bepler, Bonnie Berger:
Learning protein sequence embeddings using information from structure. - Xingyu Li, Marko Radulovic, Ksenija Kanjer, Konstantinos N. Plataniotis:
Discriminative Pattern Mining for Breast Cancer Histopathology Image Classification via Fully Convolutional Autoencoder. - Hojjat Salehinejad, Shahrokh Valaee:
Ising-Dropout: A Regularization Method for Training and Compression of Deep Neural Networks. - Wen-Hao Chiang, Li Shen, Lang Li, Xia Ning:
Drug-drug interaction prediction based on co-medication patterns and graph matching. - Marko Pozenel, Dejan Lavbic:
Discovering Language of the Stocks. - Mishall Al-Zubaidie, Zhongwei Zhang, Ji Zhang:
RAMHU: A New Robust Lightweight Scheme for Mutual Users Authentication in Healthcare Applications. - Zhan Tu, Fan Fei, Jian Zhang, Xinyan Deng:
Acting Is Seeing: Navigating Tight Space Using Flapping Wings. - Yuqi Si, Jingqi Wang, Hua Xu, Kirk Roberts:
Enhancing Clinical Concept Extraction with Contextual Embedding. - Yifan Lu:
Attacking Hardware AES with DFA. - Avinash Parnandi, Jasim Uddin, Dawn Nilsen, Heidi M. Schambra:
Pragmatic classification of movement primitives for stroke rehabilitation. - Chandra Chekuri, Kent Quanrud, Manuel R. Torres:
$\ell_1$-sparsity Approximation Bounds for Packing Integer Programs. - Jayesh K. Gupta, Kunal Menda, Zachary Manchester, Mykel J. Kochenderfer:
A General Framework for Structured Learning of Mechanical Systems. - Jesse H. Engel, Kumar Krishna Agrawal, Shuo Chen, Ishaan Gulrajani, Chris Donahue, Adam Roberts:
GANSynth: Adversarial Neural Audio Synthesis. - Xu Liu, Xiaoqiang Di, Jinqing Li, Huan Wang, Jianping Zhao, Huamin Yang, Ligang Cong:
Allocating Limited Resources to Protect a Massive Number of Targets using a Game Theoretic Model. - Ling Zhang, Le Lu, Robert Zhu, Mohammadhadi Bagheri, Ronald M. Summers, Jianhua Yao:
Spatial-Temporal Convolutional LSTMs for Tumor Growth Prediction by Learning 4D Longitudinal Patient Data. - Naman Agarwal, Brian Bullins, Elad Hazan, Sham M. Kakade, Karan Singh:
Online Control with Adversarial Disturbances. - Hadi Salman, Greg Yang, Huan Zhang, Cho-Jui Hsieh, Pengchuan Zhang:
A Convex Relaxation Barrier to Tight Robustness Verification of Neural Networks. - Daniel Lokshtanov, Dániel Marx, Saket Saurabh:
Slightly Superexponential Parameterized Problems. - Zheng Yang, Hang Lei, Weizong Qian:
A Hybrid Formal Verification System in Coq for Ensuring the Reliability and Security of Ethereum-based Service Smart Contracts. - Minyoung Kim, Pritish Sahu, Behnam Gholami, Vladimir Pavlovic:
Unsupervised Visual Domain Adaptation: A Deep Max-Margin Gaussian Process Approach. - Peter M. Krafft, Brian Keegan, Seth Frey:
Designing for Participation and Change in Digital Institutions. - Rong Zhu, Kun Zhao, Hongxia Yang, Wei Lin, Chang Zhou, Baole Ai, Yong Li, Jingren Zhou:
AliGraph: A Comprehensive Graph Neural Network Platform. - Roy Ka-Wei Lee, Ming Shan Hee, Philips Kokoh Prasetyo, Ee-Peng Lim:
Linky: Visualizing User Identity Linkage Results For Multiple Online Social Networks. - Julian Theis, Houshang Darabi:
Behavioral Petri Net Mining and Automated Analysis for Human-Computer Interaction Recommendations in Multi-Application Environments. - Takanori Maehara, Kazutoshi Ando:
Optimal Algorithm to Reconstruct a Tree from a Subtree Distance. - Zuling Chang, Martianus Frederic Ezerman, Adamas Aqsa Fahreza:
On Greedy Algorithms for Binary de Bruijn Sequences. - Kayvan Kousha, Mike Thelwall:
Can Google Scholar and Mendeley help to assess the scholarly impacts of dissertations? - Stefan Eilemann:
Parallel Rendering and Large Data Visualization. - Filip Maric, Bojan Vuckovic, Miodrag V. Zivkovic:
Fully Automatic, Verified Classification of all Frankl-Complete (FC(6)) Set Families. - Ahmed Abdelkader, Chandrajit L. Bajaj, Mohamed S. Ebeida, Ahmed H. Mahmoud, Scott A. Mitchell, John D. Owens, Ahmad A. Rushdi:
VoroCrust: Voronoi Meshing Without Clipping. - Geoff Goodell, Tomaso Aste:
A Decentralised Digital Identity Architecture. - Delaram Kahrobaei, Antonio Tortora, Maria Tota:
Multilinear Cryptography using Nilpotent Groups. - Feng Wang, Hong Xing, Jie Xu:
Optimal Resource Allocation for Wireless Powered Mobile Edge Computing with Dynamic Task Arrivals. - Renjie Xie, Yanzhi Chen, Yan Wo, Qiao Wang:
A Deep, Information-theoretic Framework for Robust Biometric Recognition. - Yuedong Chen, Jianfeng Wang, Shikai Chen, Zhongchao Shi, Jianfei Cai:
Facial Motion Prior Networks for Facial Expression Recognition. - Weijun Zhu:
Experimental Study on CTL model checking using Machine Learning. - Zhongyi Hu, Raymond Chiong, Ilung Pranata, Willy Susilo, Yukun Bao:
Identifying Malicious Web Domains Using Machine Learning Techniques with Online Credibility and Performance Data. - Chi Zhang, Kai Qiao, Linyuan Wang, Li Tong, Guoen Hu, Ruyuan Zhang, Bin Yan:
A visual encoding model based on deep neural networks and transfer learning. - Chi Sun, Xipeng Qiu, Xuanjing Huang:
VCWE: Visual Character-Enhanced Word Embeddings. - Sumit Agarwal, Harshit S. Sikchi, Suparna Rooj, Shubhobrata Bhattacharya, Aurobinda Routray:
Illumination-invariant Face recognition by fusing thermal and visual images via gradient transfer. - László Kozma:
Faster and simpler algorithms for finding large patterns in permutations. - Soheila Molaei, Hadi Zare, Hadi Veisi:
Deep Learning Approach on Information Diffusion in Heterogeneous Networks. - Guillaume Salha, Romain Hennequin, Viet-Anh Tran, Michalis Vazirgiannis:
A Degeneracy Framework for Scalable Graph Autoencoders. - Ioannis Z. Emiris, Vasilis Margonis, Ioannis Psarros:
Near neighbor preserving dimension reduction for doubling subsets of $\ell_1$. - Diego Moussallem, Mihael Arcan, Axel-Cyrille Ngonga Ngomo, Paul Buitelaar:
Augmenting Neural Machine Translation with Knowledge Graphs. - Leonid Barenboim, Gal Oren:
Fast Distributed Backup Placement in Sparse and Dense Graphs. - Lea Frermann, Mirella Lapata:
Categorization in the Wild: Generalizing Cognitive Models to Naturalistic Data across Languages. - Ananya Sai, Mithun Das Gupta, Mitesh M. Khapra, Mukundhan Srinivasan:
Re-evaluating ADEM: A Deeper Look at Scoring Dialogue Responses. - Michele D'Incecco, Stefano Squartini, Mingjun Zhong:
Transfer Learning for Non-Intrusive Load Monitoring. - Haroldas Giedra, Romas Alonderis:
Automated proof search system for logic of correlated knowledge. - Jonathan Sterling:
Algebraic Type Theory and Universe Hierarchies. - Radu Tudor Ionescu, Andrei M. Butnaru:
Vector of Locally-Aggregated Word Embeddings (VLAWE): A novel document-level embedding. - Hai Wang, Dian Yu, Kai Sun, Jianshu Chen, Dong Yu, Dan Roth, David A. McAllester:
Evidence Sentence Extraction for Machine Reading Comprehension. - Eva Vanmassenhove, Amit Moryossef, Alberto Poncelas, Andy Way, Dimitar Sht. Shterionov:
ABI Neural Ensemble Model for Gender Prediction Adapt Bar-Ilan Submission for the CLIN29 Shared Task on Gender Prediction. - Tiancheng Zhao, Kaige Xie, Maxine Eskénazi:
Rethinking Action Spaces for Reinforcement Learning in End-to-end Dialog Agents with Latent Variable Models. - Mohammad Aminisharifabad, Qingyu Yang:
Statistical Method to Model the Quality Inconsistencies of the Welding Process. - Bargav Jayaraman, David Evans:
When Relaxations Go Bad: "Differentially-Private" Machine Learning. - Tam Willy Nguyen, Marco M. Nicotra, Emanuele Garone:
Technical Note for "A Geodesic Approach for the Control of Tethered Quadrotors". - Yixue Zhao, Nenad Medvidovic:
A Microservice Architecture for Online Mobile App Optimization. - Ryuichi Takanobu, Tao Zhuang, Minlie Huang, Jun Feng, Haihong Tang, Bo Zheng:
Aggregating E-commerce Search Results from Heterogeneous Sources via Hierarchical Reinforcement Learning. - Faik Aydin, Maggie Zhang, Michelle Ananda-Rajah, Gholamreza Haffari:
Medical Multimodal Classifiers Under Scarce Data Condition. - Chetan Mishra, Anamitra Pal, Virgilio A. Centeno:
Critical Clearing Time Sensitivity for Inequality Constrained Systems. - Ram Srivatsav Ghorakavi:
TBNet: Pulmonary Tuberculosis Diagnosing System using Deep Neural Networks. - Aditi Chaudhary, Siddharth Dalmia, Junjie Hu, Xinjian Li, Austin Matthews, Aldrian Obaja Muis, Naoki Otani, Shruti Rijhwani, Zaid Sheikh, Nidhi Vyas, Xinyi Wang, Jiateng Xie, Ruochen Xu, Chunting Zhou, Peter J. Jansen, Yiming Yang, Lori S. Levin, Florian Metze, Teruko Mitamura, David R. Mortensen, Graham Neubig, Eduard H. Hovy, Alan W. Black, Jaime G. Carbonell, Graham Horwood, Shabnam Tafreshi, Mona T. Diab, Efsun Sarioglu Kayi, Noura Farra, Kathleen R. McKeown:
The ARIEL-CMU Systems for LoReHLT18. - Zhenglin Geng, Chen Cao, Sergey Tulyakov:
3D Guided Fine-Grained Face Manipulation. - Veniamin Tereshchuk, John Stewart, Nikolay Bykov, Samuel Pedigo, Santosh Devasia, Ashis G. Banerjee:
An Efficient Scheduling Algorithm for Multi-Robot Task Allocation in Assembling Aircraft Structures. - Wegdan A. Hussien, Mahmoud Al-Ayyoub, Yahya M. Tashtoush, Mohammed Al-Kabi:
On the Use of Emojis to Train Emotion Classifiers. - Lior Sidi, Asaf Nadler, Asaf Shabtai:
MaskDGA: A Black-box Evasion Technique Against DGA Classifiers and Adversarial Defenses. - Maximin Coavoux, Benoît Crabbé, Shay B. Cohen:
Unlexicalized Transition-based Discontinuous Constituency Parsing. - Mario Bijelic, Fahim Mannan, Tobias Gruber, Werner Ritter, Klaus Dietmayer, Felix Heide:
Seeing Through Fog Without Seeing Fog: Deep Sensor Fusion in the Absence of Labeled Training Data. - Yiwei Zhang, Chunbiao Zhu, Ge Li, Yuan Zhao, Haifeng Shen:
Bi-Skip: A Motion Deblurring Network Using Self-paced Learning. - Yuan Li, Benjamin I. P. Rubinstein, Trevor Cohn:
Truth Inference at Scale: A Bayesian Model for Adjudicating Highly Redundant Crowd Annotations. - Hongjoon Ahn, Taesup Moon:
Iterative Channel Estimation for Discrete Denoising under Channel Uncertainty. - Palash Dey, Swaprava Nath, Garima Shakya:
Testing Preferential Domains Using Sampling. - Sina Shaham, Ming Ding, Bo Liu, Zihuai Lin, Jun Li:
Machine Learning Aided Anonymization of Spatiotemporal Trajectory Datasets. - Jan Rüth, Oliver Hohlfeld:
Demystifying TCP Initial Window Configurations of Content Distribution Networks. - Tommi Gröndahl, N. Asokan:
Text Analysis in Adversarial Settings: Does Deception Leave a Stylistic Trace? - Daniel S. Katz, Patrick Aerts, Neil P. Chue Hong, Anshu Dubey, Sandra Gesing, Henry Neeman, David E. Pearah:
Sustaining Research Software: an SC18 Panel. - David Jakes, Zongyuan Ge, Liao Wu:
Model-less Active Compliance for Continuum Robots using Recurrent Neural Networks. - Wei Peng, Yuhong Dai, Hui Zhang, Lizhi Cheng:
Training GANs with Centripetal Acceleration. - Shengfan Wang, Xin Jiang, Jie Zhao, Xiaoman Wang, Weiguo Zhou, Yunhui Liu:
Efficient Fully Convolution Neural Network for Generating Pixel Wise Robotic Grasps With High Resolution Images. - Shengfan Wang, Xin Jiang, Jie Zhao, Xiaoman Wang, Weiguo Zhou, Yunhui Liu:
Vision Based Picking System for Automatic Express Package Dispatching. - Jiajun Zhang, Long Zhou, Yang Zhao, Chengqing Zong:
Synchronous Bidirectional Inference for Neural Sequence Generation. - Szilvia Lestyan, Gergely Ács, Gergely Biczók, Zsolt Szalay:
Extracting Vehicle Sensor Signals from CAN Logs for Driver Re-identification. - Nolan Wagener, Ching-An Cheng, Jacob Sacks, Byron Boots:
An Online Learning Approach to Model Predictive Control. - Erik C. Rye, Jeremy Martin, Robert Beverly:
EUI-64 Considered Harmful. - Himanshu Tyagi, Shun Watanabe:
Secret Key Capacity For Multipleaccess Channel With Public Feedback. - John Augustine, Seth Gilbert, Fabian Kuhn, Peter Robinson, Suman Sourav:
Latency, Capacity, and Distributed MST. - Marc Aubreville, Miguel Goncalves, Christian Knipfer, Nicolai Oetter, Helmut Neumann, Florian Stelzle, Christopher Bohr, Andreas K. Maier:
Transferability of Deep Learning Algorithms for Malignancy Detection in Confocal Laser Endomicroscopy Images from Different Anatomical Locations of the Upper Gastrointestinal Tract. - Miel Sharf, Daniel Zelazo:
Network Feedback Passivation of Passivity-Short Multi-Agent Systems. - Chongyang Wang, Temitayo A. Olugbade, Akhil Mathur, Amanda C. de C. Williams, Nicholas D. Lane, Nadia Bianchi-Berthouze:
Automatic Detection of Protective Behavior in Chronic Pain Physical Rehabilitation: A Recurrent Neural Network Approach. - S. M. Kamrul Hasan, Cristian A. Linte:
U-NetPlus: A Modified Encoder-Decoder U-Net Architecture for Semantic and Instance Segmentation of Surgical Instrument. - Xudong Sun, Andrea Bommert, Florian Pfisterer, Jörg Rahnenführer, Michel Lang, Bernd Bischl:
High Dimensional Restrictive Federated Model Selection with multi-objective Bayesian Optimization over shifted distributions. - Nir Shlezinger, Emeka Abakasanga, Ron Dabora, Yonina C. Eldar:
The Capacity of Memoryless Channels with Sampled Cyclostationary Gaussian Noise. - Catherine Chen, Qihong Lu, Andre Beukers, Christopher Baldassano, Kenneth A. Norman:
Learning to Apply Schematic Knowledge to Novel Instances. - Huy L. Nguyen, Jonathan R. Ullman, Lydia Zakynthinou:
Efficient Private Algorithms for Learning Halfspaces. - Mohsin Khalil, Ammar Khalid, Farid Ullah Khan, Akmal Shabbir:
A Review of Routing Protocol Selection for Wireless Sensor Networks in Smart Cities. - Gabriel Cardona, Joan Carles Pons, Céline Scornavacca:
Generation of Tree-Child phylogenetic networks. - Ahmed Fadhil, Gianluca Schiavo:
Designing for Health Chatbots. - Jun Nishimura, Timo Gerasimow, Rao Sushma, Aleksandar Sutic, Chyuan-Tyng Wu, Gilad Michael:
Automatic ISP image quality tuning using non-linear optimization. - Guoqiang Zhang, Kenta Niwa, W. Bastiaan Kleijn:
Rapidly Adapting Moment Estimation. - Zhiyi Zhang, Vishrant Vasavada, Xinyu Ma, Lixia Zhang:
DLedger: An IoT-Friendly Private Distributed Ledger System Based on DAG. - Emre Sariyildiz, Roberto Oboe, Kouhei Ohnishi:
Disturbance Observer-based Robust Control and Its Applications: 35th Anniversary Overview. - Zhiyi Zhang, Vishrant Vasavada, Siva Kesava Reddy K., Eric Osterweil, Lixia Zhang:
Expect More from the Networking: DDoS Mitigation by FITT in Named Data Networking. - Ivan Chelombiev, Conor J. Houghton, Cian O'Donnell:
Adaptive Estimators Show Information Compression in Deep Neural Networks. - Christopher M. Brislawn:
Factoring Perfect Reconstruction Filter Banks into Causal Lifting Matrices: A Diophantine Approach. - Cagri Ozcaglar, Sahin Cem Geyik, Brian Schmitz, Prakhar Sharma, Alex Shelkovnykov, Yiming Ma, Erik Buchanan:
Entity Personalized Talent Search Models with Tree Interaction Features. - Miguel Arduengo, Carme Torras, Luis Sentis:
A Versatile Framework for Robust and Adaptive Door Operation with a Mobile Manipulator Robot. - Xiaofeng Cao, Guoming Tang, Deke Guo, Yan Li, Weiming Zhang:
Edge Federation: Towards an Integrated Service Provisioning Model. - Amber L. Simpson, Michela Antonelli, Spyridon Bakas, Michel Bilello, Keyvan Farahani, Bram van Ginneken, Annette Kopp-Schneider, Bennett A. Landman, Geert Litjens, Bjoern H. Menze, Olaf Ronneberger, Ronald M. Summers, Patrick Bilic, Patrick Ferdinand Christ, Richard K. G. Do, Marc Gollub, Jennifer Golia-Pernicka, Stephan Heckers, William R. Jarnagin, Maureen McHugo, Sandy Napel, Eugene Vorontsov, Lena Maier-Hein, M. Jorge Cardoso:
A large annotated medical image dataset for the development and evaluation of segmentation algorithms. - Yavuz Yapici, Ismail Güvenç:
NOMA for VLC Downlink Transmission with Random Receiver Orientation. - Shiheng Wang, Fangzhen Lin:
Pure Strategy Best Responses to Mixed Strategies in Repeated Games. - Shiwen Liu, Kan Zheng, Long Zhao, Pingzhi Fan:
A Driving Intention Prediction Method Based on Hidden Markov Model for Autonomous Driving. - Johan Bjorck, Brendan Rappazzo, Di Chen, Richard Bernstein, Peter H. Wrege, Carla P. Gomes:
Automatic Detection and Compression for Passive Acoustic Monitoring of the African Forest Elephant. - Xian Li, Xiangyun Zhou, Derrick Wing Kwan Ng, Changyin Sun:
Optimal Online Transmission Policy for Energy-Constrained Wireless-Powered Communication Networks. - Jaewoong Cho, Changho Suh:
Wasserstein GAN Can Perform PCA. - (Withdrawn) SSA-CNN: Semantic Self-Attention CNN for Pedestrian Detection.
- Zihao W. Wang, Vibhav Vineet, Francesco Pittaluga, Sudipta N. Sinha, Oliver Cossairt, Sing Bing Kang:
Privacy-Preserving Action Recognition using Coded Aperture Videos. - Yuxuan Lai, Yansong Feng, Xiaohan Yu, Zheng Wang, Kun Xu, Dongyan Zhao:
Lattice CNNs for Matching Based Chinese Question Answering. - Yulong Zeng, Song Zuo:
The Matthew Effect in Computation Contests: High Difficulty May Lead to 51% Dominance. - Ahmad Mohsin, Naeem Khalid Janjua, Syed M. S. Islam, Valdemar Vicente Graciano Neto:
A Taxonomy of Modeling Approaches for Systems-of-Systems Dynamic Architectures: Overview and Prospects. - Bishan Yang, Tom M. Mitchell:
Leveraging Knowledge Bases in LSTMs for Improving Machine Reading. - Wanyun Cui, Guangyu Zheng, Zhiqiang Shen, Sihang Jiang, Wei Wang:
Transfer Learning for Sequences via Learning to Collocate. - Igor Labutov, Bishan Yang, Anusha Prakash, Amos Azaria:
Multi-Relational Question Answering from Narratives: Machine Reading and Reasoning in Simulated Worlds. - Nima Karimian, Fatemeh Tehranipoor, Nikolaos A. Anagnostopoulos, Wei Yan:
DRAMNet: Authentication based on Physical Unique Features of DRAM Using Deep Convolutional Neural Networks. - Li Zhang, Weichen Shen, Shijian Li, Gang Pan:
Field-aware Neural Factorization Machine for Click-Through Rate Prediction. - Joe Booth, Jackson Booth:
Marathon Environments: Multi-Agent Continuous Control Benchmarks in a Modern Video Game Engine. - Jingbo Wang, Chungha Sung, Chao Wang:
Mitigating Power Side Channels during Compilation. - Jia Kan, Kyeong Soo Kim:
MTFS: Merkle Tree based File System. - Jing Jiang, Xiaojing Wang, Guftaar Ahmad Sardar Sidhu, Li Zhen, Runchen Gao:
Clustering-Based Codebook Design for MIMO Communication System. - Tianwei Shen, Zixin Luo, Lei Zhou, Hanyu Deng, Runze Zhang, Tian Fang, Long Quan:
Beyond Photometric Loss for Self-Supervised Ego-Motion Estimation. - Yuan Hu, Yunpeng Chen, Xiang Li, Jiashi Feng:
Dynamic Feature Fusion for Semantic Edge Detection. - Abinaya Manimaran, Thiyagarajan Ramanathan, Suya You, C.-C. Jay Kuo:
Visualization, Discriminability and Applications of Interpretable Saak Features. - Qipeng Guo, Xipeng Qiu, Pengfei Liu, Yunfan Shao, Xiangyang Xue, Zheng Zhang:
Star-Transformer. - (Withdrawn) FPRAS for the Potts Model and the Number of $k$-colorings.
- Avanna, Psycho Zhang, Simon Yan, Jonne Mao:
SafeEmail A safe and reliable email communication system without any spam. - Yaniv David, Uri Alon, Eran Yahav:
Neural Reverse Engineering of Stripped Binaries. - Chenyang Si, Wentao Chen, Wei Wang, Liang Wang, Tieniu Tan:
An Attention Enhanced Graph Convolutional LSTM Network for Skeleton-Based Action Recognition. - Zhuo Chen, Zhiguo Ding:
On the Distribution of GSVD. - Longfei Ren, Chengjing Wang, Peipei Tang, Zheng Ma:
A Dual Symmetric Gauss-Seidel Alternating Direction Method of Multipliers for Hyperspectral Sparse Unmixing. - Jannik Lotz, Andreas Vogelsang, Ola Benderius, Christian Berger:
Microservice Architectures for Advanced Driver Assistance Systems: A Case-Study. - Pengpeng Liu, Irwin King, Michael R. Lyu, Jia Xu:
DDFlow: Learning Optical Flow with Unlabeled Data Distillation. - Zhengtao Hu, Weiwei Wan, Kensuke Harada:
Designing a Mechanical Tool for Robots with 2-Finger Parallel Grippers. - Qi Wang, Zhihui Ji, Huasheng Liu, Binqiang Zhao:
Deep Bayesian Multi-Target Learning for Recommender Systems. - Hugo Ledoux, Ken Arroyo Ohori, Kavisha Kumar, Balázs Dukai, Anna Labetski, Stelios Vitalis:
CityJSON: A compact and easy-to-use encoding of the CityGML data model. - Joshua C. Triyonoputro, Weiwei Wan, Kensuke Harada:
Quickly Inserting Pegs into Uncertain Holes using Multi-view Images and Deep Network Trained on Synthetic Data. - Gopinath Palaniappan, Balaji Rajendran, S. Sangeetha, Kumari Roshni V. S:
An Intrusion Using Malware and DDNS. - Silas Nyboe Ørting, Andrew Doyle, Matthias Hirth, Arno van Hilten, Oana Inel, Christopher R. Madan, Panagiotis Mavridis, Helen Spiers, Veronika Cheplygina:
A Survey of Crowdsourcing in Medical Image Analysis. - Shuai Li, Wei Chen, Shuai Li, Kwong-Sak Leung:
Improved Algorithm on Online Clustering of Bandits. - Feng Ji, Jielong Yang, Wee Peng Tay:
GraphFlow: A New Graph Convolutional Network Based on Parallel Flows. - Thomas Scheidsteger, Robin Haunschild:
Telling the Early Story of Solar Energy Meteorology by Applying (Co-Citation) Reference Publication Year Spectroscopy. - Inkyu An, Doheon Lee, Byeongho Jo, Jung-Woo Choi, Sung-Eui Yoon:
Robust Sound Source Localization considering Similarity of Back-Propagation Signals. - Swarnadeep Saha, Tejas I. Dhamecha, Smit Marvaniya, Peter W. Foltz, Renuka Sindhgatta, Bikram Sengupta:
Joint Multi-Domain Learning for Automatic Short Answer Grading. - Jan-Aike Bolte, Andreas Bär, Daniel Lipinski, Tim Fingscheidt:
Towards Corner Case Detection for Autonomous Driving. - Shaojie Jiang, Pengjie Ren, Christof Monz, Maarten de Rijke:
Improving Neural Response Diversity with Frequency-Aware Cross-Entropy Loss. - Zhijie Deng, Yinpeng Dong, Jun Zhu:
Batch Virtual Adversarial Training for Graph Convolutional Networks. - Handuo Zhang, Hasith Karunasekera, Han Wang:
GMC: Grid Based Motion Clustering in Dynamic Environment. - Manoel Horta Ribeiro, Kristina Gligoric, Robert West:
Message Distortion in Information Cascades. - Ke Sun, Bin Xiao, Dong Liu, Jingdong Wang:
Deep High-Resolution Representation Learning for Human Pose Estimation. - Georgios Tsaousoglou, Konstantinos Steriotis, Emmanouel A. Varvarigos:
A stochastic approximation method for price-based assignment of autonomous EVs to Charging Stations. - Karl Schlechta:
Homogenousness and Specificity. - William B. Langdon, Wolfgang Banzhaf:
Faster Genetic Programming GPquick via multicore and Advanced Vector Extensions. - Markus Zimmermann, Cristian-Alexandru Staicu, Cam Tenny, Michael Pradel:
Small World with High Risks: A Study of Security Threats in the npm Ecosystem. - Soochan Lee, Junsoo Ha, Gunhee Kim:
Harmonizing Maximum Likelihood with GANs for Multimodal Conditional Generation. - Bernardo Alves Furtado:
Heterogeneity and Instability in the Stable Marriage Problem. - Hüseyin Acan, Sankardeep Chakraborty, Seungbum Jo, Srinivasa Rao Satti:
Succinct Data Structures for Families of Interval Graphs. - Sanjeev Arora, Hrishikesh Khandeparkar, Mikhail Khodak, Orestis Plevrakis, Nikunj Saunshi:
A Theoretical Analysis of Contrastive Unsupervised Representation Learning. - Mark de Berg, Sándor Kisfaludi-Bak, Mehran Mehr:
On One-Round Discrete Voronoi Games. - Ruihan Hu, Qijun Huang, Sheng Chang, Hao Wang, Jin He:
The MBPEP: a deep ensemble pruning algorithm providing high quality uncertainty prediction. - David Castillo-Bolado, Cayetano Guerra-Artal, Mario Hernández-Tejera:
Modularity as a Means for Complexity Management in Neural Networks Learning. - Huanbo Sun, Georg Martius:
Robust Affordable 3D Haptic Sensation via Learning Deformation Patterns. - Haoyu Zhang, Yeyun Gong, Yu Yan, Nan Duan, Jianjun Xu, Ji Wang, Ming Gong, Ming Zhou:
Pretraining-Based Natural Language Generation for Text Summarization. - Viktoria A. Hauder, Andreas Beham, Sebastian Raggl, Sophie N. Parragh, Michael Affenzeller:
On constraint programming for a new flexible project scheduling problem with resource constraints. - Georgios Tsaousoglou, Konstantinos Steriotis, Nikolaos Efthymiopoulos, Prodromos Makris, Emmanouel A. Varvarigos:
Incentive Compatibility, Scalability and Privacy in real time Demand Response. - Mengyue Wu, Heinrich Dinkel, Kai Yu:
Audio Caption: Listen and Tell. - Xianfeng Tang, Boqing Gong, Yanwei Yu, Huaxiu Yao, Yandong Li, Haiyong Xie, Xiaoyu Wang:
Joint Modeling of Dense and Incomplete Trajectories for Citywide Traffic Volume Inference. - Georgios Tsaousoglou, Konstantinos Steriotis, Nikolaos Efthymiopoulos, Konstantinos Smpoukis, Emmanouel A. Varvarigos:
Near-optimal demand side management in retail electricity markets with coupling constraints via indirect mechanism design. - Gaurav Singh, Parminder Bhatia:
Relation Extraction using Explicit Context Conditioning. - Mohsen Khorasany, Yateendra Mishra, Gerard Ledwich:
Design of auction-based approach for market clearing in peer-to-peer market platform. - Jan Philip Göpfert, Heiko Wersing, Barbara Hammer:
Adversarial attacks hidden in plain sight. - Luca Benedetto, Paolo Cremonesi, Manuel Parenti:
A Virtual Teaching Assistant for Personalized Learning. - Mariana B. Santos, Amanda M. Lima, Lucas A. Silva, Felipe S. Vargas, Guilherme Alberto Wachs-Lopes, Paulo Sergio Rodrigues:
MIRA: A Computational Neuro-Based Cognitive Architecture Applied to Movie Recommender Systems. - Ahmed Rashed, Josif Grabocka, Lars Schmidt-Thieme:
Multi-Label Network Classification via Weighted Personalized Factorizations. - Xiong Zhang, Qiang Li, Wenbo Zhang, Wen Zheng:
End-to-end Hand Mesh Recovery from a Monocular RGB Image. - Youwei Song, Jiahai Wang, Tao Jiang, Zhiyue Liu, Yanghui Rao:
Attentional Encoder Network for Targeted Sentiment Classification. - Shunkang Zhang, Yuan Gao, Yuling Jiao, Jin Liu, Yang Wang, Can Yang:
Wasserstein-Wasserstein Auto-Encoders. - Stefan Schneider, Graham W. Taylor, Stefan S. Linquist, Stefan C. Kremer:
Similarity Learning Networks for Animal Individual Re-Identification - Beyond the Capabilities of a Human Observer. - Tianhao Yang, Zheng-Jun Zha, Hanwang Zhang:
Making History Matter: Gold-Critic Sequence Training for Visual Dialog. - Kristina Spirovska, Diego Didona, Willy Zwaenepoel:
PaRiS: Causally Consistent Transactions with Non-blocking Reads and Partial Replication. - Megumi Nakao, Mitsuki Morita, Tetsuya Matsuda:
Sparse Elasticity Reconstruction and Clustering using Local Displacement Fields. - Saeed Ahmadian, Ramin Farajifijani:
A New Method To Find The Nash Equilibrium Point in Financial Transmission Rights Bidding Problem. - Michaël Marcozzi, Qiyi Tang, Alastair F. Donaldson, Cristian Cadar:
A Systematic Impact Study for Fuzzer-Found Compiler Bugs. - Sabrina Evans, Paolo Turrini:
Similarity Measures based on Local Game Trees. - Huiru Xiao, Xin Liu, Yangqiu Song:
Efficient Path Prediction for Semi-Supervised and Weakly Supervised Hierarchical Text Classification. - Andrea Censi, Konstantin Slutsky, Tichakorn Wongpiromsarn, Dmitry S. Yershov, Scott Pendleton, James Guo Ming Fu, Emilio Frazzoli:
Liability, Ethics, and Culture-Aware Behavior Specification using Rulebooks. - Mikel Elkano, José Antonio Sanz, Edurne Barrenechea, Humberto Bustince, Mikel Galar:
CFM-BD: a distributed rule induction algorithm for building Compact Fuzzy Models in Big Data classification problems. - Panayiotis Danassis, Aris Filos-Ratsikas, Boi Faltings:
Anytime Heuristic for Weighted Matching Through Altruism-Inspired Behavior. - Weiping Song, Zhiping Xiao, Yifan Wang, Laurent Charlin, Ming Zhang, Jian Tang:
Session-based Social Recommendation via Dynamic Graph Attention Networks. - Saharnaz E. Dilmaghani, Apivadee Piyatumrong, Pascal Bouvry, Matthias R. Brust:
Transforming Collaboration Data into Network Layers for Enhanced Analytics. - Gi-Cheon Kang, Jaeseo Lim, Byoung-Tak Zhang:
Dual Attention Networks for Visual Reference Resolution in Visual Dialog. - Ran Ben-Basat, Guy Even, Ken-ichi Kawarabayashi, Gregory Schwartzman:
Optimal Distributed Covering Algorithms. - Tommi Gröndahl, N. Asokan:
Using logical form encodings for unsupervised linguistic transformation: Theory and applications. - Amy Zhao, Guha Balakrishnan, Frédo Durand, John V. Guttag, Adrian V. Dalca:
Data augmentation using learned transforms for one-shot medical image segmentation. - Satadal Saha:
A Review on Automatic License Plate Recognition System. - Serhii Havrylov, Germán Kruszewski, Armand Joulin:
Cooperative Learning of Disjoint Syntax and Semantics. - Srihari Pratapa, Dinesh Manocha:
HMLFC: Hierarchical Motion-Compensated Light Field Compression for Interactive Rendering. - Amnir Hadachi, Artjom Lind:
Exploring a New Model for Mobile Positioning Based on CDR Data of The Cellular Networks. - Tommaso Polonelli, Davide Brunelli, Andrea Bartolini, Luca Benini:
A LoRaWAN Wireless Sensor Network for Data Center Temperature Monitoring. - Sheng Zhou, Yuxuan Sun, Zhiyuan Jiang, Zhisheng Niu:
Exploiting Moving Intelligence: Delay-Optimized Computation Offloading in Vehicular Fog Networks. - Paul C. Bell:
Polynomially Ambiguous Probabilistic Automata on Restricted Languages. - Xiang Yin, Majid Zamani:
On Approximate Opacity of Cyber-Physical Systems. - Maria-Florina Balcan, Tuomas Sandholm, Ellen Vitercik:
Estimating Approximate Incentive Compatibility. - Shrivastava Shalini, Tanmay Chavan, Udayan Ganguly:
Ultra-low Energy charge trap flash based synapse enabled by parasitic leakage mitigation. - Jaehong Yoon, Saehoon Kim, Eunho Yang, Sung Ju Hwang:
ORACLE: Order Robust Adaptive Continual LEarning. - Hugo Caselles-Dupré, Michaël Garcia Ortiz, David Filliat:
S-TRIGGER: Continual State Representation Learning via Self-Triggered Generative Replay. - Tanweer Alam, Mohamed Benaida:
The Role of Cloud-MANET Framework in the Internet of Things (IoT). - Mohammad Moltafet, Saeedeh Parsaeefard, Mohammad R. Javan, Nader Mokari:
Robust Radio Resource Allocation in MISO-SCMA Assisted C-RAN in 5G Networks. - Mehdi Salehi Heydar Abad, Emre Ozfatura, Özgür Erçetin, Deniz Gündüz:
Dynamic Content Updates in Heterogeneous Wireless Networks. - Victoria Huang, Gang Chen, Qiang Fu, Elliott Wen:
Optimizing Controller Placement for Software-Defined Networks. - Ian Stewart, René D. Flores, Tim Riffe, Ingmar Weber, Emilio Zagheni:
Rock, Rap, or Reggaeton?: Assessing Mexican Immigrants' Cultural Assimilation Using Facebook Data. - Sahithya Ravi, Pouria Zand, Mohieddine El Soussi, Majid Nabi:
Evaluation, Modeling and Optimization of Coverage Enhancement Methods of NB-IoT. - Ivan Marsá-Maestre, Enrique de la Hoz, José Manuel Giménez-Guzmán, David Orden, Mark Klein:
Nonlinear Negotiation Approaches for Complex-Network Optimization: A Study Inspired by Wi-Fi Channel Assignment. - Anthony G. Francis, Aleksandra Faust, Hao-Tien Lewis Chiang, Jasmine Hsu, J. Chase Kew, Marek Fiser, Tsang-Wei Edward Lee:
Long-Range Indoor Navigation with PRM-RL. - Miroslaw Malek:
Monitorology the art of observing the world. - Manuel Mazzara, Ilya Afanasyev, Smruti R. Sarangi, Salvatore Distefano, Vivek Kumar:
A Reference Architecture for Smart and Software-defined Buildings. - Daniel LeJeune, Richard G. Baraniuk, Reinhard Heckel:
Adaptive Estimation for Approximate k-Nearest-Neighbor Computations. - Tommaso Polonelli, Davide Brunelli, Achille Marzocchi, Luca Benini:
Slotted ALOHA on LoRaWAN - Design, Analysis, and Deployment. - Abram Demski, Scott Garrabrant:
Embedded Agency. - Gewu Bu, Önder Gürcan, Maria Potop-Butucaru:
G-IOTA: Fair and confidence aware tangle. - Sunil Mohan, Donghui Li:
MedMentions: A Large Biomedical Corpus Annotated with UMLS Concepts. - Rémi Cadène, Hédi Ben-Younes, Matthieu Cord, Nicolas Thome:
MUREL: Multimodal Relational Reasoning for Visual Question Answering. - Bowen Li, Zhenxiang Gao, Xu Shan, Weihua Zhou, Emilio Ferrara:
SoReC: A Social-Relation Based Centrality Measure in Mobile Social Networks. - Tal Schuster, Ori Ram, Regina Barzilay, Amir Globerson:
Cross-Lingual Alignment of Contextual Word Embeddings, with Applications to Zero-shot Dependency Parsing. - Christian M. Fuchs, Nadia M. Murillo, Aske Plaat, Erik van der Kouwe, Todor P. Stefanov:
Dynamic Fault Tolerance Through Resource Pooling. - Alexander Kirichenko, Igor V. Vernik, M. Y. Kamkar, J. Walter, M. Miller, L. R. Albu, Oleg A. Mukhanov:
ERSFQ 8-bit Parallel Arithmetic Logic Unit. - Suvam Mukherjee, Nitin John Raj, Krishnan Govindraj, Pantazis Deligiannis, Chandramouleswaran Ravichandran, Akash Lal, Aseem Rastogi, Raja Krishnaswamy:
Reliable State Machines: A Framework for Programming Reliable Cloud Services. - Drew A. Hudson, Christopher D. Manning:
GQA: a new dataset for compositional question answering over real-world images. - Vaibhav, Sumeet Singh, Craig Stewart, Graham Neubig:
Improving Robustness of Machine Translation with Synthetic Noise. - Yasemin Karacora, Ali Kariminezhad, Aydin Sezgin:
Hybrid Beamforming: Where Should the Analog Power Amplifiers be Placed? - Karim A. Banawan, Batuhan Arasli, Yi-Peng Wei, Sennur Ulukus:
The Capacity of Private Information Retrieval from Heterogeneous Uncoded Caching Databases. - Paul Voigtlaender, Yuning Chai, Florian Schroff, Hartwig Adam, Bastian Leibe, Liang-Chieh Chen:
FEELVOS: Fast End-to-End Embedding Learning for Video Object Segmentation. - Reuben Cohn-Gordon, Noah D. Goodman:
Lost in Machine Translation: A Method to Reduce Meaning Loss. - José M. Fácil, Daniel Olid, Luis Montesano, Javier Civera:
Condition-Invariant Multi-View Place Recognition. - Alberto Leporati, Luca Manzoni, Giancarlo Mauri, Antonio E. Porreca, Claudio Zandron:
Characterizing PSPACE with shallow non-confluent P systems. - Michel Kulhandjian, Hovannes Kulhandjian, Claude D'Amours, Halim Yanikomeroglu, Gurgen H. Khachatrian:
Fast Decoder for Overloaded Uniquely Decodable Synchronous Optical CDMA. - Michel Kulhandjian, Claude D'Amours, Hovannes Kulhandjian:
Uniquely Decodable Ternary Codes for Synchronous CDMA Systems. - Disa Mhembere, Da Zheng, Carey E. Priebe, Joshua T. Vogelstein, Randal C. Burns:
clusterNOR: A NUMA-Optimized Clustering Framework. - Bojie Lv, Lexiang Huang, Rui Wang:
Joint Downlink Scheduling for File Placement and Delivery in Cache-Assisted Wireless Networks with Finite File Lifetime. - Yigit Ugur, Inaki Estella Aguerri, Abdellatif Zaidi:
Vector Gaussian CEO Problem Under Logarithmic Loss. - Thomas Powell:
Dependent choice as a termination principle. - Pankaj K. Agarwal, Ravid Cohen, Dan Halperin, Wolfgang Mulzer:
Dynamic Maintenance of the Lower Envelope of Pseudo-Lines. - Jagdish Ramakrishnan, Elham Shaabani, Chao Li, Mátyás A. Sustik:
Anomaly Detection for an E-commerce Pricing System. - Trevor Gale, Erich Elsen, Sara Hooker:
The State of Sparsity in Deep Neural Networks. - Pantelis Maniotis, Eirina Bourtsoulatze, Nikolaos Thomos:
Tile-Based Joint Caching and Delivery of $360^o$ Videos in Heterogeneous Networks. - Wensheng Gan, Jerry Chun-Wei Lin, Jiexiong Zhang, Hongzhi Yin, Philippe Fournier-Viger, Han-Chieh Chao, Philip S. Yu:
Utility Mining Across Multi-Dimensional Sequences. - Yuxiao Chen, Aaron D. Ames:
Duality between density function and value function with applications in constrained optimal control and Markov Decision Process. - Wensheng Gan, Jerry Chun-Wei Lin, Philippe Fournier-Viger, Han-Chieh Chao, Philip S. Yu:
Beyond Frequency: Utility Mining with Varied Item-Specific Minimum Utility. - Wensheng Gan, Jerry Chun-Wei Lin, Han-Chieh Chao, Athanasios V. Vasilakos, Philip S. Yu:
Utility-driven Data Analytics on Uncertain Data. - Ryan Shah, Shishir Nagaraja:
An Access Control Model for Robot Calibration. - Brian Heath, Neelay Velingker, Osbert Bastani, Mayur Naik:
PolyDroid: Learning-Driven Specialization of Mobile Applications. - Ryan Shah, Shishir Nagaraja:
A game-theoretic analysis of DoS attacks on driverless vehicles. - Chongli Qin, Krishnamurthy (Dj) Dvijotham, Brendan O'Donoghue, Rudy Bunel, Robert Stanforth, Sven Gowal, Jonathan Uesato, Grzegorz Swirszcz, Pushmeet Kohli:
Verification of Non-Linear Specifications for Neural Networks. - Michael Nauheimer, Rishi Relan, Uffe Høgsbro Thygesen, Erik Lindström, Henrik Madsen:
Stochastic Modelling of the Flow-Front Evolution in a Vacuum Assisted Resin Transfer Moulding Process with Missing Data. - Pierre-Henri Conze, Florian Tilquin, Mathieu Lamard, Fabrice Heitz, Gwenolé Quellec:
Unsupervised learning-based long-term superpixel tracking. - Thomas Colcombet, Joël Ouaknine, Pavel Semukhin, James Worrell:
On reachability problems for low dimensional matrix semigroups. - Steven Cheng-Xian Li, Bo Jiang, Benjamin M. Marlin:
MisGAN: Learning from Incomplete Data with Generative Adversarial Networks. - Rayson Laroca, Victor Barroso, Matheus Alves Diniz, Gabriel Resende Gonçalves, William Robson Schwartz, David Menotti:
Convolutional Neural Networks for Automatic Meter Reading. - Lingyi Han, Kan Zheng, Long Zhao, Xianbin Wang, Xuemin Shen:
Short-term Road Traffic Prediction based on Deep Cluster at Large-scale Networks. - Brandon Foggo, Nanpeng Yu:
Interpreting Active Learning Methods Through Information Losses. - Carmen D'Andrea, Stefano Buzzi, Marco Lops:
Communications and Radar Coexistence in the Massive MIMO Regime: Uplink Analysis. - Tiago M. Fernández-Caramés, Paula Fraga-Lamas:
A Review on the Application of Blockchain for the Next Generation of Cybersecure Industry 4.0 Smart Factories. - Fan Fei, Zhan Tu, Jian Zhang, Xinyan Deng:
Learning Extreme Hummingbird Maneuvers on Flapping Wing Robots. - Fan Fei, Zhan Tu, Yilun Yang, Jian Zhang, Xinyan Deng:
Flappy Hummingbird: An Open Source Dynamic Simulation of Flapping Wing Robots and Animals. - Seyed Hamid Rezatofighi, Nathan Tsoi, JunYoung Gwak, Amir Sadeghian, Ian D. Reid, Silvio Savarese:
Generalized Intersection over Union: A Metric and A Loss for Bounding Box Regression. - Matthew Amodio, Smita Krishnaswamy:
TraVeLGAN: Image-to-image Translation by Transformation Vector Learning. - Chris Ying, Aaron Klein, Esteban Real, Eric Christiansen, Kevin Murphy, Frank Hutter:
NAS-Bench-101: Towards Reproducible Neural Architecture Search. - Masoud Koleini, Carlos Oviedo, Derek McAuley, Charalampos Rotsos, Anil Madhavapeddy, Thomas Gazagnaire, Magnus Skejgstad, Richard Mortier:
Fractal: Automated Application Scaling. - Chen Sun, Per Karlsson, Jiajun Wu, Joshua B. Tenenbaum, Kevin Murphy:
Stochastic Prediction of Multi-Agent Interactions from Partial Observations. - Wojciech Krzemien, Federico Stagni, Christophe Haen, Zoltán Máthé, Andrew McNab, Milosz Zdybal:
Addressing Scalability with Message Queues: Architecture and Use Cases for DIRAC Interware. - Poonam Yadav, Qi Li, Anthony Brown, Richard Mortier:
Network Service Dependencies in Commodity Internet-of-Things Devices. - Yi Li:
Detecting Lesion Bounding Ellipses With Gaussian Proposal Networks. - Marija Popovic, Teresa A. Vidal-Calleja, Jen Jen Chung, Juan I. Nieto, Roland Siegwart:
Informative Path Planning and Mapping for Active Sensing Under Localization Uncertainty. - Yuliang Li, Aaron Feng, Jinfeng Li, Saran Mumick, Alon Y. Halevy, Vivian Li, Wang-Chiew Tan:
Subjective Databases. - Marcos Zampieri, Shervin Malmasi, Preslav Nakov, Sara Rosenthal, Noura Farra, Ritesh Kumar:
Predicting the Type and Target of Offensive Posts in Social Media. - Kien Pham, Aécio S. R. Santos, Juliana Freire:
Bootstrapping Domain-Specific Content Discovery on the Web. - Hasan Zakeri, Panos J. Antsaklis:
A Data-driven Adaptive Controller Reconfiguration for Fault Mitigation: A Passivity Approach. - Samarth Rawal, Ashok Prakash, Soumya Adhya, Sidharth Kulkarni, Saadat Anwar, Chitta Baral, Murthy V. Devarakonda:
Developing and Using Special-Purpose Lexicons for Cohort Selection from Clinical Notes. - William Doonan, Kyle W. Higham, Michele Governale, Ulrich Zülicke:
Community structure in co-inventor networks affects time to first citation for patents. - Zihao W. Wang, Weixin Jiang, Aggelos K. Katsaggelos, Oliver Cossairt:
Event-driven Video Frame Synthesis. - Isaac Oscar Gariano, Marco Servetto, Alex Potanin, Hrshikesh Arora:
Iteratively Composing Statically Verified Traits. 49-55 - Wenyu Wang, Nanpeng Yu:
Maximum Marginal Likelihood Estimation of Phase Connections in Power Distribution Systems. - Dan Wang, Wei Zhang, Bin Song, Xiaojiang Du, Mohsen Guizani:
Market-Based Model in CR-WSN: A Q-Probabilistic Multi-agent Learning Approach. - Xu Kang, Bin Song, Jie Guo, Xiaojiang Du, Mohsen Guizani:
Self-Selective Correlation Ship Tracking Method for Smart Ocean System. - Hassan Ataeian, Shahriar Esmaeili, Ali Amiri, Neda Maleki Khas, Hossein Safari:
QLMC-HD: Quasi Large Margin Classifier based on Hyperdisk. - Satoshi Matsuoka:
A New Linear Time Correctness Condition for Multiplicative Linear Logic. - Nguyen Van Huynh, Dinh Thai Hoang, Diep N. Nguyen, Eryk Dutkiewicz:
Optimal and Fast Real-time Resources Slicing with Deep Dueling Neural Networks. - Phoebe Mulcaire, Jungo Kasai, Noah A. Smith:
Polyglot Contextual Representations Improve Crosslingual Transfer. - Ankit Raj, Yuqi Li, Yoram Bresler:
GAN-based Projector for Faster Recovery in Compressed Sensing with Convergence Guarantees. - Bas Peters, Felix J. Herrmann:
Algorithms and software for projections onto intersections of convex and non-convex sets with applications to inverse problems. - Ryoma Sato, Makoto Yamada, Hisashi Kashima:
Learning to Find Hard Instances of Graph Problems. - Pedro Savarese, Michael Maire:
Learning Implicitly Recurrent CNNs Through Parameter Sharing. - Gecia Bravo Hermsdorff, Lee M. Gunderson:
A Unifying Framework for Spectrum-Preserving Graph Sparsification and Coarsening. - Giovanni Saponaro, Lorenzo Jamone, Alexandre Bernardino, Giampiero Salvi:
Beyond the Self: Using Grounded Affordances to Interpret and Describe Others' Actions. - Yamin Hu, Wenjian Luo, Junteng Wang:
Community-based 3-SAT Formulas with a Predefined Solution. - Zhenyu Guan, Qunliang Xing, Mai Xu, Ren Yang, Tie Liu, Zulin Wang:
MFQE 2.0: A New Approach for Multi-frame Quality Enhancement on Compressed Video. - Jintao Wang, Longzhuang He, Jian Song:
Towards Higher Spectral Efficiency: Spatial Path Index Modulation Improves Millimeter-Wave Hybrid Beamforming. - Jing Nathan Yan, Oliver Schulte, Jiannan Wang, Reynold Cheng:
Detecting Data Errors with Statistical Constraints. - Khalil Mrini, Claudiu Musat, Michael Baeriswyl, Martin Jaggi:
Structure Tree-LSTM: Structure-aware Attentional Document Encoders. - Zhiyi Zhang, Yingdi Yu, Sanjeev Kaushik Ramani, Alexander Afanasyev, Lixia Zhang:
NAC: Automating Access Control via Named Data. - Hironori Washizaki, Nobukazu Yoshioka, Atsuo Hazeyama, Takehisa Kato, Haruhiko Kaiya, Shinpei Ogata, Takao Okubo, Eduardo B. Fernández:
Landscape of IoT Patterns. - Thibaut Durand, Nazanin Mehrasa, Greg Mori:
Learning a Deep ConvNet for Multi-label Classification with Partial Labels. - Tatsuya Shiraishi, Tam Le, Hisashi Kashima, Makoto Yamada:
Topological Bayesian Optimization with Persistence Diagrams. - Fereshteh Jafariakinabad, Sansiri Tarnpradab, Kien A. Hua:
Syntactic Recurrent Neural Network for Authorship Attribution. - Henry Chai, Jean-Francois Ton, Roman Garnett, Michael A. Osborne:
Automated Model Selection with Bayesian Quadrature. - Alexander Matt Turner, Dylan Hadfield-Menell, Prasad Tadepalli:
Conservative Agency via Attainable Utility Preservation. - Tanmay Chavan, Sangya Dutta, Nihar R. Mohapatra, Udayan Ganguly:
Band-to-Band Tunneling based Ultra-Energy Efficient Silicon Neuron. - Rui Zhang, Tomas Pfister, Jia Li:
Harmonic Unpaired Image-to-image Translation. - Jinhan Kim, Gabin An, Robert Feldt, Shin Yoo:
Amortising the Cost of Mutation Based Fault Localisation using Statistical Inference. - Qiaosong Wang:
Towards Real-time 3D Reconstruction using Consumer UAVs. - Guang-He Lee, Wengong Jin, David Alvarez-Melis, Tommi S. Jaakkola:
Functional Transparency for Structured Data: a Game-Theoretic Approach. - Peiliang Li, Xiaozhi Chen, Shaojie Shen:
Stereo R-CNN based 3D Object Detection for Autonomous Driving. - Jeremy Morton, Freddie D. Witherden, Mykel J. Kochenderfer:
Deep Variational Koopman Models: Inferring Koopman Observations for Uncertainty-Aware Dynamics Modeling and Control. - Tanweer Alam:
Middleware Implementation in Cloud-MANET Mobility Model for Internet of Smart Devices. - Taryn Bipat, Maarten W. Bos, Rajan Vaish, Andrés Monroy-Hernández:
Analyzing the Use of Camera Glasses in the Wild. - Fuxing Hong, Dongbo Huang, Ge Chen:
Interaction-aware Factorization Machines for Recommender Systems. - Shuai Wang, Minghua Xia, Yik-Chung Wu:
Joint Communication and Motion Energy Minimization in UGV Backscatter Communication. - Dalu Guo, Chang Xu, Dacheng Tao:
Image-Question-Answer Synergistic Network for Visual Dialog. - Zehao Yu, Jia Zheng, Dongze Lian, Zihan Zhou, Shenghua Gao:
Single-Image Piece-wise Planar 3D Reconstruction via Associative Embedding. - Tanweer Alam:
Blockchain and its Role in the Internet of Things (IoT). - Miryam de Lhoneux, Miguel Ballesteros, Joakim Nivre:
Recursive Subtree Composition in LSTM-Based Dependency Parsing. - Qingyan Duan, Lei Zhang:
BoostGAN for Occlusive Profile Face Frontalization and Recognition. - Giacomo Indiveri, Yulia Sandamirskaya:
The importance of space and time in neuromorphic cognitive agents. - Guijin Wang, Cairong Zhang, Xinghao Chen, Xiangyang Ji, Jing-Hao Xue, Hang Wang:
Bi-stream Pose Guided Region Ensemble Network for Fingertip Localization from Stereo Images. - Benyou Wang, Qiuchi Li, Massimo Melucci, Dawei Song:
Semantic Hilbert Space for Text Representation Learning. - Joseph De Vilmarest, Olivier Wintenberger:
Logarithmic Regret for parameter-free Online Logistic Regression. - Xiao Ma, Wenchao Lin, Suihua Cai, Baodian Wei:
Statistical Learning Aided Decoding of BMST of Tail-Biting Convolutional Code. - Zhendong Zhang, Cheolkon Jung:
Recurrent Convolution for Compact and Cost-Adjustable Neural Networks: An Empirical Study. - Amit Alfassy, Leonid Karlinsky, Amit Aides, Joseph Shtok, Sivan Harary, Rogério Schmidt Feris, Raja Giryes, Alexander M. Bronstein:
LaSO: Label-Set Operations networks for multi-label few-shot learning. - Ziyao Li, Liang Zhang, Guojie Song:
GCN-LASE: Towards Adequately Incorporating Link Attributes in Graph Convolutional Networks. - Heming Zhang, Shalini Ghosh, Larry P. Heck, Stephen Walsh, Junting Zhang, Jie Zhang, C.-C. Jay Kuo:
Generative Visual Dialogue System via Adaptive Reasoning and Weighted Likelihood Estimation. - Michele Tonutti, Emanuele Ruffaldi, Alessandro Cattaneo, Carlo Alberto Avizzano:
Robust and Subject-Independent Driving Manoeuvre Anticipation through Domain-Adversarial Recurrent Neural Networks. - Kanji Tanaka, Yamaguchi Kousuke, Takuma Sugimoto:
Simultaneous Detection of Loop-Closures and Changed Objects. - Giorgio Battistelli, Luigi Chisci, Lin Gao, Daniela Selvi:
Event-triggered distributed Bayes filter. - (Withdrawn) Sequential Learning of Visual Tracking and Mapping Using Unsupervised Deep Neural Networks.
- Homayun Afrabandpey, Tomi Peltola, Samuel Kaski:
Human-in-the-loop Active Covariance Learning for Improving Prediction in Small Data Sets. - Céline Hocquette, Stephen H. Muggleton:
Can Meta-Interpretive Learning outperform Deep Reinforcement Learning of Evaluable Game strategies? - Yu Kawano, Jacquelien M. A. Scherpen:
Empirical Differential Gramians for Nonlinear Model Reduction. - Maximilian Pöpperl, Raghavendra Gulagundi, Senthil Kumar Yogamani, Stefan Milz:
Capsule Neural Network based Height Classification using Low-Cost Automotive Ultrasonic Sensors. - Mikko Lauri, Joni Pajarinen, Jan Peters:
Information Gathering in Decentralized POMDPs by Policy Graph Improvement. - Clemens Huemer, Alexander Pilz, Rodrigo I. Silveira:
A new lower bound on the maximum number of plane graphs using production matrices. - Maximilian Pöpperl, Raghavendra Gulagundi, Senthil Kumar Yogamani, Stefan Milz:
Realistic Ultrasonic Environment Simulation Using Conditional Generative Adversarial Networks. - Liangchen Luo, Yuanhao Xiong, Yan Liu, Xu Sun:
Adaptive Gradient Methods with Dynamic Bound of Learning Rate. - Laura Giordano, Alberto Policriti:
Adding the Power-Set to Description Logics. - Sergei Arnautov, Andrey Brito, Pascal Felber, Christof Fetzer, Franz Gregor, Robert Krahn, Wojciech Ozga, André Martin, Valerio Schiavoni, Fábio Silva, Marcus Tenorio, Nikolaus Thummel:
PubSub-SGX: Exploiting Trusted Execution Environments for Privacy-Preserving Publish/Subscribe Systems. - Chaoyue He, Yong Liu, Qingyu Guo, Chunyan Miao:
Multi-Scale Quasi-RNN for Next Item Recommendation. - Xinlong Wang, Shu Liu, Xiaoyong Shen, Chunhua Shen, Jiaya Jia:
Associatively Segmenting Instances and Semantics in Point Clouds. - Wouter van Heeswijk, Han La Poutré:
Approximate Dynamic Programming with Neural Networks in Linear Discrete Action Spaces. - Changhee Han, Kohei Murao, Tomoyuki Noguchi, Yusuke Kawata, Fumiya Uchiyama, Leonardo Rundo, Hideki Nakayama, Shin'ichi Satoh:
Learning More with Less: Conditional PGGAN-based Data Augmentation for Brain Metastases Detection Using Highly-Rough Annotation on MR images. - Martin Barisits, Thomas Beermann, Frank Berghaus, Brian Bockelman, Joaquin Bogado, David Cameron, Dimitrios Christidis, Diego Ciangottini, Gancho Dimitrov, Markus Elsing, Vincent Garonne, Alessandro Di Girolamo, Luc Goossens, Wen Guan, Jaroslav Guenther, Tomas Javurek, Dietmar Kuhn, Mario Lassnig, Fernando Lopez, Nicolò Magini, Angelos Molfetas, Armin Nairz, Farid Ould-Saada, Stefan Prenner, Cedric Serfon, Graeme A. Stewart, Eric Vaandering, Petya Vasileva, Ralph Vigne, Tobias Wegner:
Rucio - Scientific Data Management. - Niklas Mevenkamp, Benjamin Berkels:
Variational Multi-Phase Segmentation using High-Dimensional Local Features. - Jyotibdha Acharya, Vandana Padala, Arindam Basu:
Spiking Neural Network based Region Proposal Networks for Neuromorphic Vision Sensors. - V Arvind Rameshwar, Navin Kashyap:
Achieving Secrecy Capacity of Minimum Storage Regenerating Codes for all Feasible $(n, k, d)$ Parameter Values. - Pengfei Yang, Jiangchao Liu, Jianlin Li, Liqian Chen, Xiaowei Huang:
Analyzing Deep Neural Networks with Symbolic Propagation: Towards Higher Precision and Faster Verification. - Bastian Wandt, Bodo Rosenhahn:
RepNet: Weakly Supervised Training of an Adversarial Reprojection Network for 3D Human Pose Estimation. - Craig W. Schmidt:
Improving a tf-idf weighted document vector embedding. - (Withdrawn) MC-ISTA-Net: Adaptive Measurement and Initialization and Channel Attention Optimization inspired Neural Network for Compressive Sensing.
- Atefeh Rezaei, Paeiz Azmi, Nader Mokari, Mohammad Reza Javan:
Robust Resource Allocation for PD-NOMA-Based MISO Heterogeneous Networks with CoMP Technology. - Maurice Laveaux, Jan Friso Groote, Tim A. C. Willemse:
Correct and Efficient Antichain Algorithms for Refinement Checking. - Zi-Hang Jiang, Qianyi Wu, Keyu Chen, Juyong Zhang:
Disentangled Representation Learning for 3D Face Shape. - Alexandros Bampoulidis, Mihai Lupu:
An Abstract View on the De-anonymization Process. - Sophie Tourret, Andrew Cropper:
SLD-Resolution Reduction of Second-Order Horn Fragments - technical report -. - Yechong Huang, Jiahang Xu, Yuncheng Zhou, Tong Tong, Xiahai Zhuang:
Diagnosis of Alzheimer's Disease via Multi-modality 3D Convolutional Neural Network. - Haofei Xu, Jianmin Zheng, Jianfei Cai, Juyong Zhang:
Region Deformer Networks for Unsupervised Depth Estimation from Unconstrained Monocular Videos. - Pietro Tosato, David Macii, Daniele Fontanelli, Davide Brunelli, David M. Laverty:
A Software-based Low-Jitter Servo Clock for Inexpensive Phasor Measurement Units. - Uiwon Hwang, Dahuin Jung, Sungroh Yoon:
HexaGAN: Generative Adversarial Nets for Real World Classification. - Ivan Prokic:
The Cπ-calculus: a Model for Confidential Name Passing. 115-136 - Ke Yang, Jingjing Fu, Xun Guo, Yan Lu, Peng Qiao, Dongsheng Li, Yong Dou:
IF-TTN: Information Fused Temporal Transformation Network for Video Action Recognition. - Andrew Gloster, Lennon Ó. Náraigh:
cuSten - CUDA Finite Difference and Stencil Library. - Lu Bai, Lixin Cui, Shu Wu, Yuhang Jiao, Edwin R. Hancock:
Learning Vertex Convolutional Networks for Graph Classification. - Andreas Persson, Pedro Zuidberg Dos Martires, Amy Loutfi, Luc De Raedt:
Semantic Relational Object Tracking. - Javad Rahimipour Anaraki, Hamid Usefi:
A Feature Selection Based on Perturbation Theory. - Jian Zhang, Runsheng Zhang, Yaping Huang, Qi Zou:
Unsupervised Part Mining for Fine-grained Image Classification. - Rajib Rana, Siddique Latif, Raj Gururajan, Anthony Gray, Geraldine Mackenzie, Gerald Michael Humphris, Jeff Dunn:
Automated Screening for Distress: A Perspective for the Future. - Lixin Cui, Lu Bai, Edwin R. Hancock:
Fused Lasso for Feature Selection using Structural Information. - Christian Gumbsch, Martin V. Butz, Georg Martius:
Autonomous Identification and Goal-Directed Invocation of Event-Predictive Behavioral Primitives. - Suelen Gasparin, Julien Berger, Denys Dutykh, Nathan Mendes:
An adaptive simulation of nonlinear heat and moisture transfer as a boundary value problem. - Omar Aloui, Jessica Flores, David Orden, Landolf Rhode-Barbarigos:
Cellular morphogenesis of three-dimensional tensegrity structures. - Milad Roohi, Eric M. Hernandez, David V. Rosowsky:
Seismic Damage Assessment of Instrumented Wood-frame Buildings: A Case-study of NEESWood Full-scale Shake Table Tests. - Sebastian Brandt:
An Automatic Speedup Theorem for Distributed Problems. - Miranda Krekovic, Ivan Dokmanic, Martin Vetterli:
Shapes from Echoes: Uniqueness from Point-to-Plane Distance Matrices. - Md Mursalin, Syed Mohammed Shamsul Islam, Md Kislu Noman:
Epileptic seizure classification using statistical sampling and a novel feature selection algorithm. - Ihab S. Mohamed, Stefano Rovetta, Ahmed A. Zaki Diab, Ton Duc Do:
A Neural-Network-Based Model Predictive Control of Three-Phase Inverter With an Output LC Filter. - Stefan Hinterstoisser, Olivier Pauly, Hauke Heibel, Martina Marek, Martin Bokeloh:
An Annotation Saved is an Annotation Earned: Using Fully Synthetic Training for Object Instance Detection. - Runsheng Zhang, Yaping Huang, Mengyang Pu, Qingji Guan, Jian Zhang, Qi Zou:
Mining Objects: Fully Unsupervised Object Discovery and Localization From a Single Image. - Ashutosh Mishra, Marcus Liwicki:
Using Deep Object Features for Image Descriptions. - Zhaoyuan Yang, Naresh Iyer, Johan Reimann, Nurali Virani:
Design of intentional backdoors in sequential models. - Tom Everitt, Pedro A. Ortega, Elizabeth Barnes, Shane Legg:
Understanding Agent Incentives using Causal Influence Diagrams. Part I: Single Action Settings. - Javier Garcia-Barcos, Ruben Martinez-Cantin:
Fully Distributed Bayesian Optimization with Stochastic Policies. - Endrit Dosti, Mohammad Shehab, Hirley Alves, Matti Latva-aho:
Performance of Non-orthogonal Multiple Access under Finite Blocklength. - Anna Harutyunyan, Will Dabney, Diana Borsa, Nicolas Heess, Rémi Munos, Doina Precup:
The Termination Critic. - Tithi Chattopadhyay, Nick Feamster, Matheus V. X. Ferreira, Danny Yuxing Huang, S. Matthew Weinberg:
Selling a Single Item with Negative Externalities. - Christian Cachin, Daniel Collins, Tyler Crain, Vincent Gramoli:
Byzantine Fault Tolerant Vector Consensus with Anonymous Proposals. - Michalis Voutouris, Giovanni Sachi, Hina Afridi:
Anomalous Situation Detection in Complex Scenes. - Hong Xing, Liang Liu, Jie Xu, Arumugam Nallanathan:
Joint Task Assignment and Resource Allocation for D2D-Enabled Mobile-Edge Computing. - William J. McNally, Alexander Wong, John McPhee:
STAR-Net: Action Recognition using Spatio-Temporal Activation Reprojection. - Sakshi Udeshi, Sudipta Chattopadhyay:
Grammar Based Directed Testing of Machine Learning Systems. - Md. Faisal Faruque, Asaduzzaman, Iqbal H. Sarker:
Performance Analysis of Machine Learning Techniques to Predict Diabetes Mellitus. - Hussein A. Al-Barazanchi, Hussam Qassim, David Feinzimer, Abhishek Verma:
Residual-CNDS for Grand Challenge Scene Dataset. - Nikola Milosevic, Cassie Gregson, Robert Hernandez, Goran Nenadic:
A framework for information extraction from tables in biomedical literature. - Seyed Pourya Miralavy, Reza Ebrahimi Atani, Navid Khoshrouz:
A Wireless Sensor Network based approach to monitor and control air Pollution in large urban areas. - Mikhail A. Raskin:
Population protocols with unreliable communication. - Andrew N. Carr, David Wingate:
Graph Neural Processes: Towards Bayesian Graph Neural Networks. - Ahmad Biniaz:
Plane Hop Spanners for Unit Disk Graphs: Simpler and Better. - Bin Kong, Xin Wang, Junjie Bai, Yi Lu, Feng Gao, Kunlin Cao, Qi Song, Shaoting Zhang, Siwei Lyu, Youbing Yin:
Attention-driven Tree-structured Convolutional LSTM for High Dimensional Data Understanding. - (Withdrawn) TCDCaps: Visual Tracking via Cascaded Dense Capsules.
- Joydeep Mitra, Venkatesh-Prasad Ranganath:
SeMA: A Design Methodology for Building Secure Android Apps. - Peng Yin, Lingyun Xu, Xueqian Li, Chen Yin, Yingli Li, Rangaprasad Arun Srivatsan, Lu Li, Jianmin Ji, Yuqing He:
A Multi-Domain Feature Learning Method for Visual Place Recognition. - Peng Yin, Rangaprasad Arun Srivatsan, Yin Chen, Xueqian Li, Hongda Zhang, Lingyun Xu, Lu Li, Zhenzhong Jia, Jianmin Ji, Yuqing He:
MRS-VPR: a multi-resolution sampling based global visual place recognition method. - (Withdrawn) Acoustic scene classification using multi-layer temporal pooling based on convolutional neural network.
- Nora Hollenstein, Ce Zhang:
Entity Recognition at First Sight: Improving NER with Eye Movement Information. - Volodimir Begy, Joeri Hermans, Martin Barisits, Mario Lassnig, Erich Schikuta:
Simulating Data Access Profiles of Computational Jobs in Data Grids. - Carlo Peruzzo, D. T. Cao, E. Milanese, P. Favia, Francesco Pesavento, F. Hussain, Bernhard A. Schrefler:
Dynamics of fracturing saturated porous media and self-organization of rupture. - Alexander Kott, Ethan Stump:
Intelligent Autonomous Things on the Battlefield. - Branislav Kveton, Csaba Szepesvári, Mohammad Ghavamzadeh, Craig Boutilier:
Perturbed-History Exploration in Stochastic Multi-Armed Bandits. - René Schuster, Oliver Wasenmüller, Christian Unger, Georg Kuschk, Didier Stricker:
SceneFlowFields++: Multi-frame Matching, Visibility Prediction, and Robust Interpolation for Scene Flow Estimation. - Alexandre Garcia, Slim Essid, Florence d'Alché-Buc, Chloé Clavel:
A multimodal movie review corpus for fine-grained opinion mining. - Zhijie Nie, Xiaohu Zhang, Xiaoying Zhao, Yiran Xu, Di Shi, Jiajun Duan, Zhiwei Wang:
Adaptive Online Learning with Momentum for Contingency-based Voltage Stability Assessment. - Thai-Hoang Pham, Khai Mai, Minh Trung Nguyen, Nguyen Tuan Duc, Danushka Bollegala, Ryohei Sasano, Satoshi Sekine:
Multi-Task Learning with Contextualized Word Representations for Extented Named Entity Recognition. - Mohammad Ali Javidian, Pooyan Jamshidi, Marco Valtorta:
Transfer Learning for Performance Modeling of Configurable Systems: A Causal Analysis. - Martin Fajcik, Lukás Burget, Pavel Smrz:
BUT-FIT at SemEval-2019 Task 7: Determining the Rumour Stance with Pre-Trained Deep Bidirectional Transformers. - Chuangyi Gui, Long Zheng, Bingsheng He, Cheng Liu, Xinyu Chen, Xiaofei Liao, Hai Jin:
A Survey on Graph Processing Accelerators: Challenges and Opportunities. - Pan Li, Niao He, Olgica Milenkovic:
Quadratic Decomposable Submodular Function Minimization: Theory and Practice. - Christopher Iliffe Sprague, Dario Izzo, Petter Ögren:
Learning a Family of Optimal State Feedback Controllers. - Tom Zahavy, Avinatan Hassidim, Haim Kaplan, Yishay Mansour:
Planning in Hierarchical Reinforcement Learning: Guarantees for Using Local Policies. - Scott A. Burns:
Chromatic Adaptation Transform by Spectral Reconstruction. - Jiayi Huang, Md. Mostofa Ali Patwary, Gregory F. Diamos:
Coloring Big Graphs with AlphaGoZero. - Zuowei Shen, Haizhao Yang, Shijun Zhang:
Nonlinear Approximation via Compositions. - Rishabh K. Iyer, Jeff A. Bilmes:
Near Optimal Algorithms for Hard Submodular Programs with Discounted Cooperative Costs. - Vladimir V'yugin, Vladimir G. Trunov:
Online Learning with Continuous Ranked Probability Score. - Rishabh K. Iyer, Jeff A. Bilmes:
A Memoization Framework for Scaling Submodular Optimization to Large Scale Problems. - Sebastian Lapuschkin, Stephan Wäldchen, Alexander Binder, Grégoire Montavon, Wojciech Samek, Klaus-Robert Müller:
Unmasking Clever Hans Predictors and Assessing What Machines Really Learn. - Ajith Anil Meera, Marija Popovic, Alexander Millane, Roland Siegwart:
Obstacle-aware Adaptive Informative Path Planning for UAV-based Target Search. - Sarthak Jain, Byron C. Wallace:
Attention is not Explanation. - Paul C. Bell, Igor Potapov, Pavel Semukhin:
Decidability of the Mortality Problem: from multiplicative matrix equations to linear recurrence sequences and beyond. - Aldo Pareja, Giacomo Domeniconi, Jie Chen, Tengfei Ma, Toyotaro Suzumura, Hiroki Kanezashi, Tim Kaler, Charles E. Leiserson:
EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs. - Wei Feng, Jingjin Wu, Chen Yuan, Guangyi Liu, Renchang Dai, Qingxin Shi, Fangxing Li:
A Graph Computation based Sequential Power Flow Calculation for Large-Scale ACDC Systems. - Shijia Liu, Adina Williams, Hongyuan Mei, Ryan Cotterell:
On the Idiosyncrasies of the Mandarin Chinese Classifier System. - Georgi Tinchev, Adrián Peñate Sánchez, Maurice F. Fallon:
Learning to See the Wood for the Trees: Deep Laser Localization in Urban and Natural Environments on a CPU. - Zhiqing Sun, Zhi-Hong Deng, Jian-Yun Nie, Jian Tang:
RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space. - Arnob Ghosh, Randall Berry:
Competition with Three-Tier Spectrum Access and Spectrum Monitoring. - Moshiko Raboh, Roei Herzig, Gal Chechik, Jonathan Berant, Amir Globerson:
Learning Latent Scene-Graph Representations for Referring Relationships. - Mohammad Golbabaee, Carolin M. Pirkl, Marion I. Menzel, Guido Buonincontri, Pedro A. Gómez:
Deep MR Fingerprinting with total-variation and low-rank subspace priors. - Qian Hu, Huzefa Rangwala:
Reliable Deep Grade Prediction with Uncertainty Estimation. - Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif, Muhammad Shafique:
ROMANet: Fine-Grained Reuse-Driven Data Organization and Off-Chip Memory Access Management for Deep Neural Network Accelerators. - Zhu Wang, Anat V. Lubetzky, Marta Gospodarek, Makan TaghaviDilamani, Ken Perlin:
Virtual Environments for Rehabilitation of Postural Control Dysfunction. - Richa Tripathi, Amit Reza, Dinesh Garg:
Prediction of the disease controllability in a complex network using machine learning algorithms. - Isaac Oscar Gariano, Marco Servetto, Alex Potanin:
Sound Invariant Checking Using Type Modifiers and Object Capabilities. - Jinho Choi:
Compressive random access with multiple resource blocks and fast retrial. - Fréderic Godin, Anjishnu Kumar, Arpit Mittal:
Using Ternary Rewards to Reason over Knowledge Graphs with Deep Reinforcement Learning. - Sirisha Rambhatla, Xingguo Li, Jineng Ren, Jarvis D. Haupt:
A Dictionary-Based Generalization of Robust PCA Part II: Applications to Hyperspectral Demixing. - Parinya Ekparinya, Vincent Gramoli, Guillaume Jourjon:
The Attack of the Clones against Proof-of-Authority. - Yiren Wang, Fei Tian, Di He, Tao Qin, ChengXiang Zhai, Tie-Yan Liu:
Non-Autoregressive Machine Translation with Auxiliary Regularization. - Xi Zhu, Mingbin Xu, Hui Jiang:
Fixed-Size Ordinally Forgetting Encoding Based Word Sense Disambiguation. - Kayvan Bijari, Hadi Zare, Hadi Veisi, Emad Kebriaei:
Deep Sentiment Analysis using a Graph-based Text Representation. - Justin Fu, Aviral Kumar, Matthew Soh, Sergey Levine:
Diagnosing Bottlenecks in Deep Q-learning Algorithms. - Jae Sung Park, Dinesh Manocha:
Efficient Probabilistic Collision Detection for Non-Gaussian Noise Distributions. - Stephen Ugwuanyi, James Irvine:
Intelligent Internet of Things (IoT) Node Demonstrator for Device Monitoring and Control in the Oil and Gas Sector. - Roja Eini, Sherif Abdelwahed:
Distributed Model Predictive Control based on Goal Coordination for Multi zone Building Temperature Control. - Gergana Todorova, Anastasios Noulas:
Exploiting Population Activity Dynamics to Predict Urban Epidemiological Incidence. - Walid Saad, Mehdi Bennis, Mingzhe Chen:
A Vision of 6G Wireless Systems: Applications, Trends, Technologies, and Open Research Problems. - Roja Eini, Lauren Linkous, Nasibeh Zohrabi, Sherif Abdelwahed:
A Testbed for a Smart Building: Design and Implementation. - Hans Raj Tiwary, Victor Verdugo, Andreas Wiese:
On the extension complexity of scheduling. - Ali Cheraghian, Shafin Rahman, Lars Petersson:
Zero-shot Learning of 3D Point Cloud Objects. - Michele Cucuzzella, Riccardo Lazzari, Yu Kawano, Krishna Chaitanya Kosaraju, Jacquelien M. A. Scherpen:
Voltage Control of Boost Converters in DC Microgrids with ZIP Loads. - Suryansh Kumar:
A Simple Prior-Free Method for Non-rigid Structure-from-Motion Factorization : Revisited. - Ruoxi Jia, David Dao, Boxin Wang, Frances Ann Hubis, Nick Hynes, Nezihe Merve Gürel, Bo Li, Ce Zhang, Dawn Song, Costas J. Spanos:
Towards Efficient Data Valuation Based on the Shapley Value. - Adilson Luiz Bonifácio, Arnaldo Vieira Moura:
Complete Test Suites for Input/Output Systems. - Panpan Yu, Qingna Li:
Ordinal Distance Metric Learning with MDS for Image Ranking. - Shaorong Yan, Aaron Steven White:
A Framework for Decoding Event-Related Potentials from Text. - Joshua J. Michalenko, Ameesh Shah, Abhinav Verma, Richard G. Baraniuk, Swarat Chaudhuri, Ankit B. Patel:
Representing Formal Languages: A Comparison Between Finite Automata and Recurrent Neural Networks. - Amir Gholami, Kurt Keutzer, George Biros:
ANODE: Unconditionally Accurate Memory-Efficient Gradients for Neural ODEs. - Alireza Sadeghi, Gang Wang, Georgios B. Giannakis:
Adaptive Caching via Deep Reinforcement Learning. - Tyler Derr, Hamid Karimi, Xiaorui Liu, Jiejun Xu, Jiliang Tang:
Deep Adversarial Network Alignment. - Yao Liu, Ying Tai, Ji-Lin Li, Shouhong Ding, Chengjie Wang, Feiyue Huang, Dongyang Li, Wenshuai Qi, Rongrong Ji:
Aurora Guard: Real-Time Face Anti-Spoofing via Light Reflection. - Chenyang Xu, Liangde Tao, Huajingling Wu, Deshi Ye, Guochuan Zhang:
Multiple Constrained Routing Algorithms in Large-Scaled Software Defined Networks. - Mishall Al-Zubaidie, Zhongwei Zhang, Ji Zhang:
Efficient and Secure ECDSA Algorithm and its Applications: A Survey. - Shuchi Chawla, Yifeng Teng, Christos Tzamos:
Reasonable multi-item mechanisms are not much better than item pricing. - Eric Liang, Hang Zhu, Xin Jin, Ion Stoica:
Neural Packet Classification. - Shromona Ghosh, Somil Bansal, Alberto L. Sangiovanni-Vincentelli, Sanjit A. Seshia, Claire J. Tomlin:
A New Simulation Metric to Determine Safe Environments and Controllers for Systems with Unknown Dynamics. - Nayyer Aafaq, Naveed Akhtar, Wei Liu, Syed Zulqarnain Gilani, Ajmal Mian:
Spatio-Temporal Dynamics and Semantic Attribute Enriched Visual Encoding for Video Captioning. - Jindong Chen, Ao Wang, Jiangjie Chen, Yanghua Xiao, Zhendong Chu, Jingping Liu, Jiaqing Liang, Wei Wang:
CN-Probase: A Data-driven Approach for Large-scale Chinese Taxonomy Construction. - Ainesh Bakshi, Nadiia Chepurko, David P. Woodruff:
Weighted Maximum Independent Set of Geometric Objects in Turnstile Streams. - Shuai Wang, Minghua Xia, Yik-Chung Wu:
Backscatter Data Collection with Unmanned Ground Vehicle: Mobility Management and Power Allocation. - Richeng Jin, Xiaofan He, Huaiyu Dai:
Distributed Byzantine Tolerant Stochastic Gradient Descent in the Era of Big Data. - Wenhu Chen, Yu Su, Yilin Shen, Zhiyu Chen, Xifeng Yan, William Yang Wang:
How Large a Vocabulary Does Text Classification Need? A Variational Approach to Vocabulary Selection. - Qinye Tang, Xiaozhe Wang:
A Periodogram-Based Method to Identify Forced and Natural Oscillations Using PMUs. - Tal Ben-Nun, Johannes de Fine Licht, Alexandros Nikolaos Ziogas, Timo Schneider, Torsten Hoefler:
Stateful Dataflow Multigraphs: A Data-Centric Model for High-Performance Parallel Programs. - Evgenii Tsymbalov, Sergei Makarychev, Alexander Shapeev, Maxim Panov:
Deeper Connections between Neural Networks and Gaussian Processes Speed-up Active Learning. - Edward Moroshko, Guy Feigenblat, Haggai Roitman, David Konopnicki:
An Editorial Network for Enhanced Document Summarization. - Benjamin J. Meyer, Tom Drummond:
The Importance of Metric Learning for Robotic Vision: Open Set Recognition and Active Learning. - Yiming Hu, Siyang Sun, Jianquan Li, Jiagang Zhu, Xingang Wang, Qingyi Gu:
Multi-loss-aware Channel Pruning of Deep Networks. - Masoud Badiei Khuzani, Hongyi Ren, Varun Vasudevan, Lei Xing:
Multiple Kernel Learning from $U$-Statistics of Empirical Measures in the Feature Space. - Soumajyoti Sarkar, Hamidreza Alvari, Paulo Shakarian:
Leveraging Motifs to Model the Temporal Dynamics of Diffusion Networks. - Yael Hitron, Merav Parter:
Counting to Ten with Two Fingers: Compressed Counting with Spiking Neurons. - Yiming Hu, Jianquan Li, Xianlei Long, Shenhua Hu, Jiagang Zhu, Xingang Wang, Qingyi Gu:
Cluster Regularized Quantization for Deep Networks Compression. - Haggai Roitman:
Query Term Weighting based on Query Performance Prediction. - Hao Zhou, Minlie Huang, Yishun Mao, Changlei Zhu, Peng Shu, Xiaoyan Zhu:
Domain-Constrained Advertising Keyword Generation. - Nikola Tomasevic, Dejan Paunovic, Sanja Vranes:
User-based collaborative filtering approach for content recommendation in OpenCourseWare platforms. - Haggai Roitman, Avigdor Gal, Louiqa Raschid:
Query Scheduling in the Presence of Complex User Profiles. - Sebastiaan Koning, Caspar Greeven, Eric O. Postma:
Reducing Artificial Neural Network Complexity: A Case Study on Exoplanet Detection. - Itsikiantsoa Randrianantenaina, Megumi Kaneko, Hayssam Dahrouj, Hesham ElSawy, Mohamed-Slim Alouini:
Interference Management in NOMA-based Fog-Radio Access Networks via Joint Scheduling and Power Adaptation. - Fabian Steiner, Emna Ben Yacoub, Balázs Matuz, Gianluigi Liva, Alexandre Graell i Amat:
One and Two Bit Message Passing for SC-LDPC Codes with Higher-Order Modulation. - Joachim Neu:
Quantized Polar Code Decoders: Analysis and Design. - C.-H. Luke Ong, Dominik Wagner:
HoCHC: a Refutationally-complete and Semantically-invariant System of Higher-order Logic Modulo Theories. - Bilal Abu-Salih, Bushra Bremie, Pornpit Wongthongtham, Kevin Duan, Tomayess Issa, Kit Yan Chan, Mohammad Alhabashneh, Teshreen Albtoush, Sulaiman Alqahtani, Abdullah Alqahtani, Muteeb Alahmari, Naser Alshareef, Abdulaziz Albahlal:
Social Credibility Incorporating Semantic Analysis and Machine Learning: A Survey of the State-of-the-Art and Future Research Directions. - Sylwester Klocek, Lukasz Maziarka, Maciej Wolczyk, Jacek Tabor, Marek Smieja, Jakub Nowak:
Multi-task hypernetworks. - Ibrahim Jubran, David Cohn, Dan Feldman:
Provable Approximations for Constrained $\ell_p$ Regression. - Geewook Kim, Akifumi Okuno, Kazuki Fukui, Hidetoshi Shimodaira:
Representation Learning with Weighted Inner Product for Universal Approximation of General Similarities. - Maria Vittoria Minniti, Farbod Farshidian, Ruben Grandia, Marco Hutter:
Whole-Body MPC for a Dynamically Stable Mobile Manipulator. - Pierre Stock, Benjamin Graham, Rémi Gribonval, Hervé Jégou:
Equi-normalization of Neural Networks. - Bang Liu, Mingjun Zhao, Di Niu, Kunfeng Lai, Yancheng He, Haojie Wei, Yu Xu:
Learning to Generate Questions by Learning What not to Generate. - Bruno Ordozgoiti, Aristides Gionis:
Reconciliation k-median: Clustering with Non-Polarized Representatives. - Jungbeom Lee, Eunji Kim, Sungmin Lee, Jangho Lee, Sungroh Yoon:
FickleNet: Weakly and Semi-supervised Semantic Image Segmentation\\using Stochastic Inference. - Gabriel Eilertsen, Rafal K. Mantiuk, Jonas Unger:
Single-frame Regularization for Temporally Stable CNNs. - Hongmin Xu, Qiang Li, Wenbo Zhang, Wen Zheng:
StyleRemix: An Interpretable Representation for Neural Image Style Transfer. - Thomas Nedelec, Noureddine El Karoui, Vianney Perchet:
Learning to bid in revenue-maximizing auctions. - Alexander Korotin, Vladimir V'yugin, Evgeny Burnaev:
Adaptive Hedging under Delayed Feedback. - Su Yang, Yuqing Zhang, Chensi Wu:
Attack-Defense Quantification Based On Game-Theory. - Federico Pernici, Matteo Bruni, Claudio Baecchi, Alberto Del Bimbo:
Fix Your Features: Stationary and Maximally Discriminative Embeddings using Regular Polytope (Fixed Classifier) Networks. - Rupak Majumdar, Joël Ouaknine, Amaury Pouly, James Worrell:
Algebraic Invariants for Linear Hybrid Automata. - Jinpeng Xia, Jiasong Wu, Youyong Kong, Pinzheng Zhang, Lotfi Senhadji, Huazhong Shu:
Modulated binary cliquenet. - Xu Tan, Yi Ren, Di He, Tao Qin, Zhou Zhao, Tie-Yan Liu:
Multilingual Neural Machine Translation with Knowledge Distillation. - Yanlin Qian, Song Yan, Joni-Kristian Kämäräinen, Jiri Matas:
Flash Lightens Gray Pixels. - Mohamed El Amine Seddik, Mohamed Tamaazousti, John Lin:
Generative Collaborative Networks for Single Image Super-Resolution. - Jiasong Wu, Fuzhi Wu, Qihan Yang, Youyong Kong, Xilin Liu, Yan Zhang, Lotfi Senhadji, Huazhong Shu:
Fractional spectral graph wavelets and their applications. - Oliver Moolan-Feroze, Konstantinos Karachalios, Dimitrios N. Nikolaidis, Andrew Calway:
Improving drone localisation around wind turbines using monocular model-based tracking. - Joël Kaboré, Alexandre Fotue Tabue, Kenza Guenda, Mohammed E. Charkani:
Skew-constacyclic codes over $\frac{\mathbb{F}_q[v]}{\langle\, v^q-v\, \rangle}$. - Ruiying Geng, Binhua Li, Yongbin Li, Yuxiao Ye, Ping Jian, Jian Sun:
Few-Shot Text Classification with Induction Network. - Arslan Chaudhry, Marcus Rohrbach, Mohamed Elhoseiny, Thalaiyasingam Ajanthan, Puneet Kumar Dokania, Philip H. S. Torr, Marc'Aurelio Ranzato:
Continual Learning with Tiny Episodic Memories. - Anisur Rahaman Molla, William K. Moses Jr.:
Dispersion of Mobile Robots: The Power of Randomness. - Jan Dvorák, Zdenek Hanzálek:
Multi-Variant Scheduling of Critical Time-Triggered Communication in Incremental Development Process: Application to FlexRay. - Maxat Kulmanov, Wang Liu-Wei, Yuan Yan, Robert Hoehndorf:
EL Embeddings: Geometric construction of models for the Description Logic EL ++. - Michalina Strzyz, David Vilares, Carlos Gómez-Rodríguez:
Viable Dependency Parsing as Sequence Labeling. - Etika Agarwal, Sivaranjani S., Vijay Gupta, Panos J. Antsaklis:
Distributed Synthesis of Local Controllers for Networked Systems with Arbitrary Interconnection Topologies. - Frederik Bülthoff, Maria Maleshkova:
RESTful or RESTless - Current State of Today's Top Web APIs. - Alexander Poddey, Tino Brade, Jan Erik Stellet, Wolfgang Branz:
On the validation of complex systems operating in open contexts. - Victor Carbune, Pedro Gonnet, Thomas Deselaers, Henry A. Rowley, Alexander N. Daryin, Marcos Calvo, Li-Lun Wang, Daniel Keysers, Sandro Feuz, Philippe Gervais:
Fast Multi-language LSTM-based Online Handwriting Recognition. - Mor Geva, Eric Malmi, Idan Szpektor, Jonathan Berant:
DiscoFuse: A Large-Scale Dataset for Discourse-based Sentence Fusion. - Shuzhao Li, Huimin Yu, Wei Huang, Jing Zhang:
Attributes-aided Part Detection and Refinement for Person Re-identification. - Jiehua Chen, Piotr Skowron, Manuel Sorge:
Matchings under Preferences: Strength of Stability and Trade-offs. - Alexandra Chronopoulou, Christos Baziotis, Alexandros Potamianos:
An Embarrassingly Simple Approach for Transfer Learning from Pretrained Language Models. - Marcos Cramer, Mathieu Guillaume:
Technical report of "Empirical Study on Human Evaluation of Complex Argumentation Frameworks". - Yao Yao, Zixin Luo, Shiwei Li, Tianwei Shen, Tian Fang, Long Quan:
Recurrent MVSNet for High-resolution Multi-view Stereo Depth Inference. - Younggun Cho, Giseop Kim, Ayoung Kim:
DeepLO: Geometry-Aware Deep LiDAR Odometry. - David J. Wu:
Accelerating Self-Play Learning in Go. - Ronghua Xu, Seyed Yahya Nikouei, Yu Chen, Erik Blasch, Alex Aved:
BlendMAS: A BLockchain-ENabled Decentralized Microservices Architecture for Smart Public Safety. - Gaëlle Loosli:
TrIK-SVM : an alternative decomposition for kernel methods in Krein spaces. - Liuyang Lu, Yanxiang Jiang, Mehdi Bennis, Zhiguo Ding, Fu-Chun Zheng, Xiaohu You:
Distributed Edge Caching via Reinforcement Learning in Fog Radio Access Networks. - Ting Zhang, Bang Liu, Di Niu, Kunfeng Lai, Yu Xu:
Multiresolution Graph Attention Networks for Relevance Matching. - Yuko Kuroki, Liyuan Xu, Atsushi Miyauchi, Junya Honda, Masashi Sugiyama:
Polynomial-time Algorithms for Combinatorial Pure Exploration with Full-bandit Feedback. - Sima Sharifirad, Stan Matwin:
When a Tweet is Actually Sexist. A more Comprehensive Classification of Different Online Harassment Categories and The Challenges in NLP. - Fernando Nobre, Christoffer Heckman:
FastCal: Robust Online Self-Calibration for Robotic Systems. - Jiyong Jeong, Lucas Y. Cho, Ayoung Kim:
Road is Enough! Extrinsic Calibration of Non-overlapping Stereo Camera and LiDAR using Road Information. - Chih-Hong Cheng, Dhiraj Gulati, Rongjie Yan:
Architecting Dependable Learning-enabled Autonomous Systems: A Survey. - Fatih Emre Tosun, Volkan Patoglu:
Necessary and Sufficient Conditions for Passivity of Velocity-Sourced Impedance Control of Series Elastic Actuators. - Rémi Bonnefoi, Lilian Besson, Julio Manco-Vásquez, Christophe Moy:
Upper-Confidence Bound for Channel Selection in LPWA Networks with Retransmissions. - Vered Shwartz, Ido Dagan:
Still a Pain in the Neck: Evaluating Text Representations on Lexical Composition. - Craig Innes, Alex Lascarides:
Learning Factored Markov Decision Processes with Unawareness. - Sai Prasanna, Sri Ananda Seelan:
Zoho at SemEval-2019 Task 9: Semi-supervised Domain Adaptation using Tri-training for Suggestion Mining. - (Withdrawn) Alternating Synthetic and Real Gradients for Neural Language Modeling.
- Michael Kapralov, Ameya Velingker, Amir Zandieh:
Dimension-independent Sparse Fourier Transform. - Shweta Bhardwaj, Mukundhan Srinivasan, Mitesh M. Khapra:
Efficient Video Classification Using Fewer Frames. - Mikhail Khodak, Maria-Florina Balcan, Ameet Talwalkar:
Provable Guarantees for Gradient-Based Meta-Learning. - Kurniawan D. Irianto, Juan A. Cabrera, Giang T. Nguyen, Hani Salah, Frank H. P. Fitzek:
S-PRAC: Fast Partial Packet Recovery with Network Coding in Very Noisy Wireless Channels. - Rishav Chourasia, Adish Singla:
Unifying Ensemble Methods for Q-learning via Social Choice Theory. - Luca Rossetto, Mahnaz Amiri Parian, Ralph Gasser, Ivan Giangreco, Silvan Heller, Heiko Schuldt:
Deep Learning-based Concept Detection in vitrivr at the Video Browser Showdown 2019 - Final Notes. - Georg Böcherer, Diego Lentner, Alessandro Cirino, Fabian Steiner:
Probabilistic Parity Shaping for Linear Codes. - Stanislav Peshterliev, Alexander Hsieh, Imre Kiss:
F10-SGD: Fast Training of Elastic-net Linear Models for Text Classification and Named-entity Recognition. - Udi Boker, Karoliina Lehtinen:
Register Games. - Fionn Murtagh:
Linear Time Visualization and Search in Big Data using Pixellated Factor Space Mapping. - Michael Burke, Svetlin Penkov, Subramanian Ramamoorthy:
From explanation to synthesis: Compositional program induction for learning from demonstration. - Baihan Lin:
Regularity Normalization: Constraining Implicit Space with Minimum Description Length. - Philip Etter, Kevin T. Carlberg:
Online adaptive basis refinement and compression for reduced-order models. - Hongge Chen, Huan Zhang, Duane S. Boning, Cho-Jui Hsieh:
Robust Decision Trees Against Adversarial Examples. - Siddharth Mayya, Gennaro Notomista, Dylan A. Shell, Seth Hutchinson, Magnus Egerstedt:
Achieving Non-Uniform Densities in Vibration Driven Robot Swarms Using Phase Separation Theory. - Danny Panknin, Shinichi Nakajima, Thanh Binh Bui, Klaus-Robert Müller:
Local Bandwidth Estimation via Mixture of Gaussian Processes. - Ramiro Daniel Camino, Christian A. Hammerschmidt, Radu State:
Improving Missing Data Imputation with Deep Generative Models. - Omid Rohanian, Shiva Taslimipoor, Samaneh Kouchaki, Le An Ha, Ruslan Mitkov:
Bridging the Gap: Attending to Discontinuity in Identification of Multiword Expressions. - Saif Alabachi, Gita Sukthankar, Rahul Sukthankar:
Customizing Object Detectors for Indoor Robots. - Muhammad Zaid Hameed, András György, Deniz Gündüz:
Communication without Interception: Defense against Deep-Learning-based Modulation Detection. - Tal Friedman, Guy Van den Broeck:
On Constrained Open-World Probabilistic Databases. - Shi Zong, Alan Ritter, Graham Mueller, Evan Wright:
Analyzing the Perceived Severity of Cybersecurity Threats Reported on Social Media. - Renee Obringer, Rohini Kumar, Roshanak Nateghi:
Integrated analysis of the urban water-electricity demand nexus in the Midwestern United States. - Sayna Firoozi Yeganeh, Ahmadreza Mahmoudzadeh, Mohammad Amin Azizpour, Amir Golroo:
Validation of smartphone based pavement roughness measures. - Natanael Arndt, Michael Martin:
Decentralized Evolution and Consolidation of RDF Graphs. - Pawel Korus, Nasir D. Memon:
Neural Imaging Pipelines - the Scourge or Hope of Forensics? - Vitaly Feldman, Jan Vondrák:
High probability generalization bounds for uniformly stable algorithms with nearly optimal rate. - Amos Beimel, Shay Moran, Kobbi Nissim, Uri Stemmer:
Private Center Points and Learning of Halfspaces. - Panagiotis Agrafiotis, Dimitrios Skarlatos, Andreas Georgopoulos, Konstantinos Karantzalos:
Shallow Water Bathymetry Mapping from UAV Imagery based on Machine Learning. - Nicholas Woolsey, Rong-Rong Chen, Mingyue Ji:
Coded Distributed Computing with Heterogeneous Function Assignments. - John Leuner:
A Replication Study: Machine Learning Models Are Capable of Predicting Sexual Orientation From Facial Images. - Wenbo Li, Pengchuan Zhang, Lei Zhang, Qiuyuan Huang, Xiaodong He, Siwei Lyu, Jianfeng Gao:
Object-driven Text-to-Image Synthesis via Adversarial Training. - Weizhao Shao, Srinivasan Vijayarangan, Cong Li, George Kantor:
Stereo Visual Inertial LiDAR Simultaneous Localization and Mapping. - Bindita Chaudhuri, Noranart Vesdapunt, Baoyuan Wang:
Joint Face Detection and Facial Motion Retargeting for Multiple Faces. - Mikael Brudfors, Yaël Balbastre, John Ashburner:
Nonlinear Markov Random Fields Learned via Backpropagation. - Wilmer Leal, Guillermo Restrepo:
Formal structure of periodic system of elements. - Chris R. Serrano, Michael A. Warren:
Introspection Learning. - Fazle Karim, Somshubra Majumdar, Houshang Darabi:
Adversarial Attacks on Time Series. - Fazle Karim, Somshubra Majumdar, Houshang Darabi:
Insights into LSTM Fully Convolutional Networks for Time Series Classification. - Arinbjörn Kolbeinsson, Jean Kossaifi, Yannis Panagakis, Anima Anandkumar, Ioanna Tzoulaki, Paul M. Matthews:
Stochastically Rank-Regularized Tensor Regression Networks. - Jacinto Ulloa, Patricio Rodríguez, Cristobal Samaniego, Esteban Samaniego:
Phase-field modeling of fracture for quasi-brittle materials. - Hugo A. Akitaya, Matthew D. Jones, Matias Korman, Christopher Meierfrankenfeld, Michael J. Munje, Diane L. Souvaine, Michael Thramann, Csaba D. Tóth:
Reconfiguration of Connected Graph Partitions. - Ali Yazdizadeh, Zachary Patterson, Bilal Farooq:
Semi-supervised GANs to Infer Travel Modes in GPS Trajectories. - Vahid Mokhtari, Luís Seabra Lopes, Armando J. Pinho, Roman Manevich:
Learning Task Knowledge and its Scope of Applicability in Experience-Based Planning Domains. - Ruizhi Liao, Jonathan Rubin, Grace Lam, Seth J. Berkowitz, Sandeep Dalal, William M. Wells III, Steven Horng, Polina Golland:
Semi-supervised Learning for Quantification of Pulmonary Edema in Chest X-Ray Images. - Hasan Zakeri, Panos J. Antsaklis:
Recent Advances in Analysis and Design of Cyber-physical Systems using Passivity Indices. - Ashwini Tonge, Cornelia Caragea:
Dynamic Deep Multi-modal Fusion for Image Privacy Prediction. - Zakaria Mhammedi, Wouter M. Koolen, Tim van Erven:
Lipschitz Adaptivity with Multiple Learning Rates in Online Learning. - Yitao Liang, Guy Van den Broeck:
Learning Logistic Circuits. - Hung Nguyen, Di Zhuang, Pei-Yuan Wu, J. Morris Chang:
AutoGAN-based Dimension Reduction for Privacy Preservation. - Vojtech Mrazek, Muhammad Abdullah Hanif, Zdenek Vasícek, Lukás Sekanina, Muhammad Shafique:
autoAx: An Automatic Design Space Exploration and Circuit Building Methodology utilizing Libraries of Approximate Components. - Geoffrey C. Fox, James A. Glazier, J. C. S. Kadupitiya, Vikram Jadhao, Minje Kim, Judy Qiu, James P. Sluka, Endre T. Somogyi, Madhav V. Marathe, Abhijin Adiga, Jiangzhuo Chen, Oliver Beckstein, Shantenu Jha:
Learning Everywhere: Pervasive Machine Learning for Effective High-Performance Computation. - Benjamin Recht, Rebecca Roelofs, Ludwig Schmidt, Vaishaal Shankar:
Do ImageNet Classifiers Generalize to ImageNet? - Vladan Majerech:
Padovan heaps. - Da-Cheng Juan, Chun-Ta Lu, Zhen Li, Futang Peng, Aleksei Timofeev, Yi-Ting Chen, Yaxi Gao, Tom Duerig, Andrew Tomkins, Sujith Ravi:
Graph-RISE: Graph-Regularized Image Semantic Embedding. - Cheng Ouyang, Jo Schlemper, Carlo Biffi, Gavin Seegoolam, Jose Caballero, Anthony N. Price, Joseph V. Hajnal, Daniel Rueckert:
Generalising Deep Learning MRI Reconstruction across Different Domains. - Chul Min Yeum, Ali Lenjani, Shirley J. Dyke, Ilias Bilionis:
Automated Detection of Pre-Disaster Building Images from Google Street View. - Gun Pinyo, Nicolai Kraus:
From Cubes to Twisted Cubes via Graph Morphisms in Type Theory. - Sanchit Kalhan, Konstantin Makarychev, Timothy Zhou:
Improved algorithms for Correlation Clustering with local objectives. - Gennaro Notomista, Siddharth Mayya, Anirban Mazumdar, Seth Hutchinson, Magnus Egerstedt:
A Study of a Class of Vibration-Driven Robots: Modeling, Analysis, Control and Design of the Brushbot. - Ilan Shomorony, Reinhard Heckel:
Capacity Results for the Noisy Shuffling Channel. - Jüri Lember, Chris Watkins:
An evolutionary model that satisfies detailed balance. - Chen Kong, Simon Lucey:
Deep Interpretable Non-Rigid Structure from Motion. - Yongxiang Fan, Masayoshi Tomizuka:
Efficient Grasp Planning and Execution with Multi-Fingered Hands by Surface Fitting. - Olga Moskvyak, Frédéric Maire, Asia O. Armstrong, Feras Dayoub, Mahsa Baktashmotlagh:
Robust Re-identification of Manta Rays from Natural Markings by Learning Pose Invariant Embeddings. - Sara Mousavi, Ramin Nabati, Megan Kleeschulte, Audris Mockus:
Machine-assisted annotation of forensic imagery. - Elizabeth Fons, Paula Dawson, Jeffrey Yau, Xiao-Jun Zeng, John A. Keane:
A novel dynamic asset allocation system using Feature Saliency Hidden Markov models for smart beta investing. - Sanghyun Hong, Tae-Hoon Kim, Tudor Dumitras, Jonghyun Choi:
Poster: On the Feasibility of Training Neural Networks with Visibly Watermarked Dataset. - Renlong Hang, Qingshan Liu, Danfeng Hong, Pedram Ghamisi:
Cascaded Recurrent Neural Networks for Hyperspectral Image Classification. - Xiaojie Guo, Siyuan Li, Jiawan Zhang, Jiayi Ma, Lin Ma, Wei Liu, Haibin Ling:
PFLD: A Practical Facial Landmark Detector. - Ziyao Liu, Nguyen Cong Luong, Wenbo Wang, Dusit Niyato, Ping Wang, Ying-Chang Liang, Dong In Kim:
A Survey on Applications of Game Theory in Blockchain. - Takayuki Osogami, Toshihiro Takahashi:
Real-time tree search with pessimistic scenarios. - Jaein Kim, Seok-Hwan Park, Osvaldo Simeone, Inkyu Lee, Shlomo Shamai:
Joint Design of Fronthauling and Hybrid Beamforming for Downlink C-RAN Systems. - Yan Wang, Radian Gondokaryono, Adnan Munawar, Gregory S. Fischer:
A Dynamic Model Identification Package for the da Vinci Research Kit. - Sangyeon Kim, Myungjoo Kang:
Financial series prediction using Attention LSTM. - Michael D. Brown, Santosh Pande:
Is Less Really More? Why Reducing Code Reuse Gadget Counts via Software Debloating Doesn't Necessarily Lead to Better Security. - Kurniawan D. Irianto:
Security Function Analysis on Performance of High-Speed Router Networking. - S. Anubha Pearline, Hemalatha Munusamy:
Face Recognition Under Varying Blur, Illumination and Expression in an Unconstrained Environment. - Kurniawan D. Irianto, Demetres D. Kouvatsos:
An Investigation of Performance versus Security in Cognitive Radio Networks with Supporting Cloud Platforms. - Jingfeng Zhang, Bo Han, Laura Wynter, Kian Hsiang Low, Mohan S. Kankanhalli:
Towards Robust ResNet: A Small Step but A Giant Leap. - Daoud Burghal, Rui Wang, Andreas F. Molisch:
Deep Learning and Gaussian Process based Band Assignment in Dual Band Systems. - Young-Sik Shin, Ayoung Kim:
Sparse Depth Enhanced Direct Thermal-infrared SLAM Beyond the Visible Spectrum. - Jordan M. Malof, Boning Li, Bohao Huang, Kyle Bradbury, Artem Stretslov:
Mapping solar array location, size, and capacity using deep learning and overhead imagery. - Ahmed H. Hareedy, A. Robert Calderbank:
LOCO Codes: Lexicographically-Ordered Constrained Codes. - Jiancheng Yang, Qiang Zhang, Rongyao Fang, Bingbing Ni, Jinxian Liu, Qi Tian:
Adversarial Attack and Defense on Point Sets. - Jianzhong He, Shiliang Zhang, Ming Yang, Yanhu Shan, Tiejun Huang:
Bi-Directional Cascade Network for Perceptual Edge Detection. - Changhee Won, Jongbin Ryu, Jongwoo Lim:
SweepNet: Wide-baseline Omnidirectional Depth Estimation. - Dahuin Jung, Ho Bae, Hyun-Soo Choi, Sungroh Yoon:
PixelSteganalysis: Pixel-wise Hidden Information Removal with Low Visual Degradation. - Qian Chen, Zhu Zhuo, Wen Wang:
BERT for Joint Intent Classification and Slot Filling. - Iqbal Alam, Kashif Sharif, Fan Li, Zohaib Latif, Md. Monjurul Karim, Boubakr Nour, Sujit Biswas, Yu Wang:
IoT Virtualization: A Survey of Software Definition & Function Virtualization Techniques for Internet of Things. - Hamsa Bastani, David Simchi-Levi, Ruihao Zhu:
Meta Dynamic Pricing: Learning Across Experiments. - Anish Agarwal, Devavrat Shah, Dennis Shen, Dogyoon Song:
Model Agnostic High-Dimensional Error-in-Variable Regression. - Ce Ju, Zheng Wang, Cheng Long, Xiaoyu Zhang, Gao Cong, Dong Eui Chang:
Interaction-aware Kalman Neural Networks for Trajectory Prediction. - Minseok Choi, Albert No, Mingyue Ji, Joongheon Kim:
Markov Decision Policies for Dynamic Video Delivery in Wireless Caching Networks. - Peyman Afshani, Casper Benjamin Freksen, Lior Kamma, Kasper Green Larsen:
Lower Bounds for Multiplication via Network Coding. - Yongqing Huo, Xiaofeng Zhu:
High dynamic range image forensics using cnn. - Remi Domingues, Pietro Michiardi, Jérémie Barlet, Maurizio Filippone:
A comparative evaluation of novelty detection algorithms for discrete sequences. - Wei Gao, Yongqing Huo, Yan Qiao:
A security steganography scheme based on hdr image. - Bolei Xu, Jingxin Liu, Xianxu Hou, Bozhi Liu, Jon Garibaldi, Ian O. Ellis, Andy Green, Linlin Shen, Guoping Qiu:
Look, Investigate, and Classify: A Deep Hybrid Attention Method for Breast Cancer Classification. - Jinho Lee, Raehyun Kim, Yookyung Koh, Jaewoo Kang:
Global Stock Market Prediction Based on Stock Chart Images Using Deep Q-Network. - Yingcheng Su, Shunfeng Zhou, Yichao Wu, Xuebo Liu, Tian Su, Ding Liang, Junjie Yan:
Context-aware Dynamic Block. - Benoit Massé, Stéphane Lathuilière, Pablo Mesejo, Radu Horaud:
Extended Gaze Following: Detecting Objects in Videos Beyond the Camera Field of View. - Amer Krivosija, Alexander Munteanu:
Probabilistic smallest enclosing ball in high dimensions via subgradient sampling. - Pierre Hyvernat:
Infinite Types, Infinite Data, Infinite Interaction. - Katrin Casel, Joel D. Day, Pamela Fleischmann, Tomasz Kociumaka, Florin Manea, Markus L. Schmid:
Graph and String Parameters: Connections Between Pathwidth, Cutwidth and the Locality Number. - David Vilares, Mostafa Abdou, Anders Søgaard:
Better, Faster, Stronger Sequence Tagging Constituent Parsers. - Yeonwoo Jeong, Yoonsung Kim, Hyun Oh Song:
End-to-End Efficient Representation Learning via Cascading Combinatorial Optimization. - Nevrez Imamoglu, Guanqun Ding, Yuming Fang, Asako Kanezaki, Toru Kouyama, Ryosuke Nakamura:
Salient object detection on hyperspectral images using features learned from unsupervised segmentation task. - Arik Rinberg, Alexander Spiegelman, Edward Bortnikov, Eshcar Hillel, Idit Keidar, Hadar Serviansky:
Fast Concurrent Data Sketches. - Liqin Shi, Yinghui Ye, Rose Qingyang Hu, Hailin Zhang:
System Outage Performance for Three-Step Two-Way Energy Harvesting DF Relaying. - Waqas Aman, Aneeqa Ijaz, Muhammad Mahboob Ur Rahman, Dushantha Nalin K. Jayakody, Haris Pervaiz:
Shared Secret Key Generation via Carrier Frequency Offsets. - Ravi Ranjan, Aditi Sharma:
Evaluation of Frequent Itemset Mining Platforms using Apriori and FP-Growth Algorithm. - Carlo Biffi, Juan J. Cerrolaza, Giacomo Tarroni, Antonio de Marvao, Stuart A. Cook, Declan P. O'Regan, Daniel Rueckert:
3D High-Resolution Cardiac Segmentation Reconstruction from 2D Views using Conditional Variational Autoencoders. - Robin Brochier, Adrien Guille, Julien Velcin:
Global Vectors for Node Representations. - Jouke Witteveen, Ralph Bottesch, Leen Torenvliet:
A Hierarchy of Polynomial Kernels. - Yule Li:
MassFace: an efficient implementation using triplet loss for face recognition. - Xiuhui Peng, Zhiyong Sun, Kexin Guo, Zhiyong Geng:
Mobile Formation Coordination and Tracking Control for Multiple Non-holonomic Vehicles. - Ke Sun, Zhanxing Zhu, Zhouchen Lin:
Towards Understanding Adversarial Examples Systematically: Exploring Data Size, Task and Model Factors. - Sergey Zakharov, Ivan Shugurov, Slobodan Ilic:
DPOD: Dense 6D Pose Object Detector in RGB images. - Vladimír Petrík, Vladimír Smutný, Ville Kyrki:
Static Stability of Robotic Fabric Strip Folding. - Haoye Dong, Xiaodan Liang, Bochao Wang, Hanjiang Lai, Jia Zhu, Jian Yin:
Towards Multi-pose Guided Virtual Try-on Network. - Martin Becker, Samarjit Chakraborty:
A Valgrind Tool to Compute the Working Set of a Software Process. - Ke Sun, Zhanxing Zhu, Zhouchen Lin:
Enhancing the Robustness of Deep Neural Networks by Boundary Conditional GAN. - Giancarlo A. Antonucci, Simon Vary, David Humphreys, Robert A. Lamb, Jonathan Piper, Jared Tanner:
Multilspectral snapshot demosaicing via non-convex matrix completion. - Alicja Gosiewska, Aleksandra Gacek, Piotr Lubon, Przemyslaw Biecek:
SAFE ML: Surrogate Assisted Feature Extraction for Model Learning. - Moti Freiman, Ravindra Manjeshwar, Liran Goshen:
Unsupervised Abnormality Detection through Mixed Structure Regularization (MSR) in Deep Sparse Autoencoders. - Ke Sun, Zhanxing Zhu, Zhouchen Lin:
Multi-Stage Self-Supervised Learning for Graph Convolutional Networks. - Yuanbo Nie, Eric C. Kerrigan:
External Constraint Handling for Solving Optimal Control Problems with Interior Point Methods. - Barbara Covella, Fabrizio Frati, Maurizio Patrignani:
On the Area Requirements of Planar Straight-Line Orthogonal Drawings of Ternary Trees. - Ke Sun, Hantao Guo, Zhanxing Zhu, Zhouchen Lin:
Virtual Adversarial Training on Graph Convolutional Networks in Node Classification. - Jiexiong Tang, Ludvig Ericson, John Folkesson, Patric Jensfelt:
GCNv2: Efficient Correspondence Prediction for Real-Time SLAM. - Hannaneh Akrami, Kurt Mehlhorn, Tommy Odland:
Ratio-Balanced Maximum Flows. - Tom Hosking, Sebastian Riedel:
Evaluating Rewards for Question Generation Models. - Abraham George Smith, Jens Petersen, Raghavendra Selvan, Camilla Ruø Rasmussen:
Segmentation of Roots in Soil with U-Net. - Robin Brochier, Adrien Guille, Julien Velcin:
Link Prediction with Mutual Attention for Text-Attributed Networks. - Chaoyi Sun, Qing Li, Li Li:
A Roadmap-Path Reshaping Algorithm for Real-Time Motion Planning. - Robin Brochier:
Representation Learning for Recommender Systems with Application to the Scientific Literature. - Daniel Ortega, Chia-Yu Li, Gisela Vallejo, Pavel Denisov, Ngoc Thang Vu:
Context-aware Neural-based Dialog Act Classification on Automatically Generated Transcriptions. - Juraj Orsulic, Damjan Miklic, Zdenko Kovacic:
Efficient Dense Frontier Detection for 2D Graph SLAM Based on Occupancy Grid Submaps. - Yujin Kwon, Hyoungshick Kim, Jinwoo Shin, Yongdae Kim:
Bitcoin vs. Bitcoin Cash: Coexistence or Downfall of Bitcoin Cash? - Ruben Tolosana, Marta Gomez-Barrero, Christoph Busch, Javier Ortega-Garcia:
Biometric Presentation Attack Detection: Beyond the Visible Spectrum. - Ning Gui, Danni Ge, Ziyin Hu:
AFS: An Attention-based mechanism for Supervised Feature Selection. - Matej Smíd, Jiri Matas:
Rolling Shutter Camera Synchronization with Sub-millisecond Accuracy. - Aleksandr Shevchenko, Anton Osokin:
Scaling Matters in Deep Structured-Prediction Models. - Jian-Qing Zheng, Xiao-Yun Zhou, Guang-Zhong Yang:
Real-time 3D Shape Instantiation for Partially-deployed Stent Segment from a Single 2D Fluoroscopic Image in Robot-assisted Fenestrated Endovascular Aortic Repair. - Mansur Bestas:
Massive Open Online Courses and Cloud Computing. - Martino Trevisan:
Big Data for Traffic Monitoring and Management. - Benjamin Wilson, Judy Hoffman, Jamie Morgenstern:
Predictive Inequity in Object Detection. - S. V. Belim, D. E. Vilkhovskiy:
Usage of analytic hierarchy process for steganographic inserts detection in images. - Vidit Saxena, Joakim Jaldén, Joseph E. Gonzalez, Ion Stoica, Hugo M. Tullberg:
Constrained Thompson Sampling for Wireless Link Optimization. - Noémie Jaquier, Robert Haschke, Sylvain Calinon:
Tensor-variate Mixture of Experts. - Serkan Kiranyaz, Turker Ince, Alexandros Iosifidis, Moncef Gabbouj:
Operational Neural Networks. - Zhanyu Ma, Dongliang Chang, Xiaoxu Li:
Channel Max Pooling Layer for Fine-Grained Vehicle Classification. - Rahul Bhalley, Jianlin Su:
Artist Style Transfer Via Quadratic Potential. - Xuan Liang, Yida Xu:
Actions Generation from Captions. - Anthony Perez, Swetava Ganguli, Stefano Ermon, George Azzari, Marshall Burke, David B. Lobell:
Semi-Supervised Multitask Learning on Multispectral Satellite Images Using Wasserstein Generative Adversarial Networks (GANs) for Predicting Poverty. - Sirisha Rambhatla, Xingguo Li, Jarvis D. Haupt:
Target-based Hyperspectral Demixing via Generalized Robust PCA. - Nisha Chandramoorthy, Zhong-Nan Wang, Qiqi Wang, Paul Tucker:
Toward computing sensitivities of average quantities in turbulent flows. - (Withdrawn) PixelSteganalysis: Destroying Hidden Information with a Low Degree of Visual Degradation.
- Md. Moniruzzaman, Syed Mohammed Shamsul Islam, Paul Lavery, Mohammed Bennamoun, C. Peng Lam:
Imaging and Classification Techniques for Seagrass Mapping and Monitoring: A Comprehensive Survey. - Miriam Redi, Besnik Fetahu, Jonathan T. Morgan, Dario Taraborelli:
Citation Needed: A Taxonomy and Algorithmic Assessment of Wikipedia's Verifiability. - Ali Kariminezhad, Soheil Gherekhloo, Aydin Sezgin:
Optimal Resource Allocation for Joint Sensing and Communication: Multiple Targets and Clutters. - Ali Kariminezhad, Aydin Sezgin:
Spatio-Temporal Waveform Design in Active Sensing Systems with Multilayer Targets. - Salma Abdel Magid, Francesco Petrini, Behnam Dezfouli:
Image Classification on IoT Edge Devices: Profiling and Modeling. - Yunxuan Zhang, Weiliang Zhang, Qinyan Zhang, Ji-Jiang Yang, Xiuyu Chen, Shihua Zhao:
CMR motion artifact correction using generative adversarial nets. - Paschalis A. Bizopoulos, Dimitris Koutsouris:
Deep Learning in Cardiology. - Mennatullah Siam, Boris N. Oreshkin:
Adaptive Masked Weight Imprinting for Few-Shot Segmentation. - Mingpan Guo, Stefan Matthes, Jiaojiao Ye, Hao Shen:
A Generative Map for Image-based Camera Localization. - Paul N. Whatmough, Chuteng Zhou, Patrick Hansen, Shreyas K. Venkataramanaiah, Jae-sun Seo, Matthew Mattina:
FixyNN: Efficient Hardware for Mobile Computer Vision via Transfer Learning. - Shadman Sakib, Md. Abu Bakr Siddique:
Unsupervised Segmentation Algorithms' Implementation in ITK for Tissue Classification via Human Head MRI Scans. - Rakib Hyder, M. Salman Asif:
Generative Models for Low-Rank Video Representation and Reconstruction. - Swagato Chatterjee, Rwik Kumar Dutta, Debayan Ganguly, Kingshuk Chatterjee, Sudipta Roy:
Bengali Handwritten Character Classification using Transfer Learning on Deep Convolutional Neural Network. - Zhenyu Duan, Martin Renqiang Min, Li Erran Li, Mingbo Cai, Yi Xu, Bingbing Ni:
Disentangled Deep Autoencoding Regularization for Robust Image Classification. - Ibrahim Ayed, Emmanuel de Bézenac, Arthur Pajot, Julien Brajard, Patrick Gallinari:
Learning Dynamical Systems from Partial Observations. - Robert McHardy, Heike Adel, Roman Klinger:
Adversarial Training for Satire Detection: Controlling for Confounding Variables. - Sandip Banerjee, Sujoy Bhore:
Algorithm and Hardness results on Liar's Dominating Set and $k$-tuple Dominating Set. - Vahid Jamali, Nariman Farsad, Robert Schober, Andrea Goldsmith:
Diffusive Molecular Communications with Reactive Molecules: Channel Modeling and Signal Design. - Xinsheng Xuan, Bo Peng, Jing Dong, Wei Wang:
On the generalization of GAN image forensics. - Hochang Seok, Jongwoo Lim:
ROVO: Robust Omnidirectional Visual Odometryfor Wide-baseline Wide-FOV Camera Systems. - Felix Krahmer, Dominik Stöger:
On the convex geometry of blind deconvolution and matrix completion. - Kamal Z. Zamli, Fakhrud Din, Nazirah Ramli, Bestoun S. Ahmed:
Software Module Clustering based on the Fuzzy Adaptive Teaching Learning based Optimization Algorithm. - Abdullah B. Nasser, Kamal Z. Zamli, Bestoun S. Ahmed:
Dynamic Solution Probability Acceptance within the Flower Pollination Algorithm for t-way Test Suite Generation. - Peter Wittenburg, Hana Pergl Sustkova, Annalisa Montesanti, Margreet Bloemers, S. H. de Waard, Mark A. Musen, John Graybeal, Kristina M. Hettne, Annika Jacobsen, Robert Pergl, Rob W. W. Hooft, Christine Staiger, Celia W. G. van Gelder, Sebastiaan L. Knijnenburg, A. C. van Arkel, Bert Meerman, Mark D. Wilkinson, Susanna-Assunta Sansone, Philippe Rocca-Serra, Peter McQuilton, Alejandra N. González-Beltrán, G. J. C. Aben, Patrícia Henning, Maria Simone de Menezes Alencar, C. Ribeiro, C. R. L. Silva, Luís Fernando Sayão, Luana Sales, Viviane Veiga, Jefferson Lima, Simone Dib, Paula Xavier dos Santos, R. Murtinho, Jakob Tendel, B. F. Schaap, P. M. Brouwer, A. K. Gavai, Yamine Bouzembrak, Hans J. P. Marvin, Albert Mons, Tobias Kuhn, A. A. Gambardella, Ricardo de Miranda Azevedo, Vesa Muhonen, Mira van der Naald, N. W. Smit, M. J. Buys, Taco F. de Bruin, Fieke Schoots, H. J. E. Goodson, Henry S. Rzepa, Keith G. Jeffery, Hugh P. Shanahan, M. Axton, Veniamin Tkachenko, Anne Deslattes Mays, Natalie Meyers, Michael Conlon, Laurel L. Haak, Erik A. Schultes:
The FAIR Funder pilot programme to make it easy for funders to require and for grantees to produce FAIR Data. - Sherief H. Murad, Amr M. Gody, Tamer M. Barakat:
Enhanced Security of Symmetric Encryption Using Combination of Steganography with Visual Cryptography. - Riko Jacob, Gerth Stølting Brodal:
Dynamic Planar Convex Hull. - Neel Guha, Ameet Talwalkar, Virginia Smith:
One-Shot Federated Learning. - Zuheng Ming, Junshi Xia, Muhammad Muzzamil Luqman, Jean-Christophe Burie, Kaixing Zhao:
FaceLiveNet+: A Holistic Networks For Face Authentication Based On Dynamic Multi-task Convolutional Neural Networks. - Samia El Haddouti, Mohamed Dafir Ech-Cherif El Kettani:
Towards an Interoperable Identity Management Framework: a Comparative Study. - Andreas Varga:
Fault detection and diagnosis: computational issues and tools. - Fredrik Dahlqvist, Dexter Kozen:
Semantics of higher-order probabilistic programs with conditioning. - Janka Chlebíková, Clément Dallard:
Towards a Complexity Dichotomy for Colourful Components Problems on k-caterpillars and Small-Degree Planar Graphs. - Ademir Cristiano Gabardo, Leandro Takeshi F. Hattori, Brenda Cinthya Solari Berno, Matheus Gutoski, Wagner Rodrigues Ulian Agostinho, Heitor Silvério Lopes:
Como Mensurar a Importância, Influência e a Relevância de Usuários do Twitter? Uma análise da interação dos candidatos à presidência do Brasil nas eleições de 2018. - Yohei Hosoe, Tomomichi Hagiwara:
Equivalent Stability Notions, Lyapunov Inequality, and Its Application in Discrete-Time Linear Systems with Stochastic Dynamics Determined by an i.i.d. Process. - Rohit Agrawal, Yi-Hsiu Chen, Thibaut Horel, Salil P. Vadhan:
Unifying computational entropies via Kullback-Leibler divergence. - Haonan Qiu, Chuan Wang, Hang Zhu, Xiangyu Zhu, Jinjin Gu, Xiaoguang Han:
Two-phase Hair Image Synthesis by Self-Enhancing Generative Model. - Xiang Gao, Sungjin Lee, Yizhe Zhang, Chris Brockett, Michel Galley, Jianfeng Gao, Bill Dolan:
Jointly Optimizing Diversity and Relevance in Neural Response Generation. - Gideon Maillette de Buy Wenniger, Lambert Schomaker, Andy Way:
No Padding Please: Efficient Neural Handwriting Recognition. - Manxing Du, Alexander I. Cowen-Rivers, Ying Wen, Phu Sakulwongtana, Jun Wang, Mats Brorsson, Radu State:
Infer Your Enemies and Know Yourself, Learning in Real-Time Bidding with Partially Observable Opponents. - Bernd Huber, Hijung Valentina Shin, Bryan C. Russell, Oliver Wang, Gautham J. Mysore:
B-Script: Transcript-based B-roll Video Editing with Recommendations. - Homa Nikbakht, Michèle A. Wigger, Shlomo Shamai:
Multiplexing Gain Region of Sectorized Cellular Networks with Mixed Delay Constraints. - Mauro Barni, Kassem Kallas, Benedetta Tondi:
A new Backdoor Attack in CNNs by training set corruption without label poisoning. - Fernando Rosas, Pedro A. M. Mediano, Michael Gastpar, Henrik J. Jensen:
Quantifying High-order Interdependencies via Multivariate Extensions of the Mutual Information. - Egor Lakomkin, Mohammad-Ali Zamani, Cornelius Weber, Sven Magg, Stefan Wermter:
Incorporating End-to-End Speech Recognition Models for Sentiment Analysis. - Amanda Swearngin, Yang Li:
Modeling Mobile Interface Tappability Using Crowdsourcing and Deep Learning. - Jayadev Acharya, Christopher De Sa, Dylan J. Foster, Karthik Sridharan:
Distributed Learning with Sublinear Communication. - Sirisha Rambhatla, Xingguo Li, Jarvis D. Haupt:
NOODL: Provable Online Dictionary Learning and Sparse Coding. - Pierre-Alain Reynier, Didier Villevalois:
Sequentiality of String-to-Context Transducers. - M. Saquib Sarfraz, Vivek Sharma, Rainer Stiefelhagen:
Efficient Parameter-free Clustering Using First Neighbor Relations. - Siyu Liao, Zhe Li, Liang Zhao, Qinru Qiu, Yanzhi Wang, Bo Yuan:
CircConv: A Structured Convolution with Low Complexity. - Liunian Harold Li, Patrick H. Chen, Cho-Jui Hsieh, Kai-Wei Chang:
Efficient Contextual Representation Learning Without Softmax Layer. - Gencer Sumbul, Begüm Demir:
A CNN-RNN Framework with a Novel Patch-Based Multi-Attention Mechanism for Multi-Label Image Classification in Remote Sensing. - Giovanni Interdonato, Pål K. Frenger, Erik G. Larsson:
Scalability Aspects of Cell-Free Massive MIMO. - Margaret P. Chapman, Jonathan Lacotte, Aviv Tamar, Donggun Lee, Kevin M. Smith, Victoria Cheng, Jaime F. Fisac, Susmit Jha, Marco Pavone, Claire J. Tomlin:
A Risk-Sensitive Finite-Time Reachability Approach for Safety of Stochastic Dynamic Systems. - Rahul Mohanani, Burak Turhan, Paul Ralph:
Requirements Framing Affects Design Creativity. - Jérôme Abdelnour, Giampiero Salvi, Jean Rouat:
From Visual to Acoustic Question Answering. - Jamie Morgenstern, Samira Samadi, Mohit Singh, Uthaipon Tao Tantipongpipat, Santosh S. Vempala:
Fair Dimensionality Reduction and Iterative Rounding for SDPs. - Felix Wu, Boyi Li, Lequn Wang, Ni Lao, John Blitzer, Kilian Q. Weinberger:
FastFusionNet: New State-of-the-Art for DAWNBench SQuAD. - Mona El Saadawy, Bettina Kemme:
Monitoring as a Service of the cloud data centre: can SDNs help? - Vincent Corlay, Joseph J. Boutros, Philippe Ciblat, Loïc Brunel:
A lattice-based approach to the expressivity of deep ReLU neural networks. - Abbas Emami-Naeini, Dick de Roover:
Bode's Sensitivity Integral Constraints: The Waterbed Effect Revisited. - Denis S. Krotov:
On $(2n/3-1)$-resilient $(n, 2)$-functions. - Tom Crossland, Pontus Stenetorp, Sebastian Riedel, Daisuke Kawata, Thomas D. Kitching, Rupert Croft:
Towards Machine-assisted Meta-Studies: The Hubble Constant. - Guillermo García-Pérez, Roya Aliakbarisani, Abdorasoul Ghasemi, M. Ángeles Serrano:
Predictability of missing links in complex networks. - Elijah Paul, Gleb Pogudin, William Qin, Reinhard C. Laubenbacher:
The Dynamics of Canalizing Boolean Networks. - Yue Cao, Yang Shen:
Bayesian active learning for optimization and uncertainty quantification in protein docking. - Nidham Gazagnadou, Robert M. Gower, Joseph Salmon:
Optimal mini-batch and step sizes for SAGA. - (Withdrawn) Minimax Testing of Identity to a Reference Ergodic Markov Chain.
- Cristina White, Daniela Ushizima, Charbel Farhat:
Neural Networks Predict Fluid Dynamics Solutions from Tiny Datasets. - Thomas Roy, Tom B. Jönsthövel, Christopher Lemon, Andrew J. Wathen:
A block preconditioner for non-isothermal flow in porous media. - Chuan Lu, Xueyu Zhu:
Bifidelity data-assisted neural networks in nonintrusive reduced-order modeling. - Yancheng Yuan, Meixia Lin, Defeng Sun, Kim-Chuan Toh:
On the Closed-form Proximal Mapping and Efficient Algorithms for Exclusive Lasso Models. - George Stamatescu, Federica Gerace, Carlo Lucibello, Ian G. Fuss, Langford B. White:
Signal propagation in continuous approximations of binary neural networks. - Chul-Ho Lee, Min Kang, Do Young Eun:
Non-Markovian Monte Carlo on Directed Graphs. - Raaz Dwivedi, Nhat Ho, Koulik Khamaru, Martin J. Wainwright, Michael I. Jordan, Bin Yu:
Challenges with EM in application to weakly identifiable mixture models. - Martin J. Zhang, James Zou, David Tse:
Adaptive Monte Carlo Multiple Testing via Multi-Armed Bandits. - Cong Fang, Zhouchen Lin, Tong Zhang:
Sharp Analysis for Nonconvex SGD Escaping from Saddle Points. - Mohammed AlQuraishi:
ProteinNet: a standardized data set for machine learning of protein structure. - Chang Liu, Jingwei Zhuo, Jun Zhu:
Understanding MCMC Dynamics as Flows on the Wasserstein Space. - Dominique Unruh:
Quantum Hoare Logic with Ghost Variables. - Keith M. Smith:
A surface-depth theory of the emergence of complex networks. - Tam Le, Makoto Yamada, Kenji Fukumizu, Marco Cuturi:
Tree-Sliced Approximation of Wasserstein Distances. - Sean Tull:
Categorical Operational Physics. - Thomas Sanchez, Baran Gözcü, Ruud B. van Heeswijk, Efe Ilicak, Tolga Çukur, Volkan Cevher:
Scalable Learning-Based Sampling Optimization for Compressive Dynamic MRI. - Shixiang Zhu, Yao Xie:
Crime Linkage Detection by Spatio-Temporal-Textual Point Processes. - Charles Moussa, Henri Calandra, Travis S. Humble:
Function Maximization with Dynamic Quantum Search. - ChangYong Oh, Jakub M. Tomczak, Efstratios Gavves, Max Welling:
Combinatorial Bayesian Optimization using Graph Representations. - Masahiro Fujisawa, Issei Sato:
Multi-level Monte Carlo Variational Inference. - Andrawes Al Bahou, Christine Tanner, Orcun Goksel:
SCATGAN for Reconstruction of Ultrasound Scatterers Using Generative Adversarial Networks. - Artem Lutov, Soheil Roshankish, Mourad Khayati, Philippe Cudré-Mauroux:
StaTIX - Statistical Type Inference on Linked Data. - Gabrielle Allen, Igor Andreoni, Etienne Bachelet, G. Bruce Berriman, Federica B. Bianco, Rahul Biswas, Matias Carrasco Kind, Kyle Chard, Minsik Cho, Philip S. Cowperthwaite, Zachariah B. Etienne, Daniel George, Tom Gibbs, Matthew J. Graham, William Gropp, Anushri Gupta, Roland Haas, Eliu A. Huerta, Elise Jennings, Daniel S. Katz, Asad Khan, Volodymyr V. Kindratenko, William T. C. Kramer, Xin Liu, Ashish Mahabal, Kenton McHenry, J. M. Miller, Mark S. Neubauer, Steve Oberlin, Alexander Reinefeld, Shawn Rosofsky, Milton Ruiz, Aaron Saxton, Bernard F. Schutz, Alexander G. Schwing, Ed Seidel, Stuart L. Shapiro, Hongyu Shen, Yue Shen, Brigitta Miksztai-Réthey, Lunan Sun, John Towns, Antonios Tsokaros, Wei Wei, Jack Wells, Timothy J. Williams, Jinjun Xiong, Zhizhen Zhao:
Deep Learning for Multi-Messenger Astrophysics: A Gateway for Discovery in the Big Data Era. - Chin-Yun Yu, Li Su:
Multi-layered Cepstrum for Instantaneous Frequency Estimation. - Dustin G. Mixon, Hans Parshall:
Exact Line Packings from Numerical Solutions. - Timothy J. Kiely, Nathaniel D. Bastian:
The Spatially-Conscious Machine Learning Model. - Tárik S. Salem, Karan Kathuria, Heri Ramampiaro, Helge Langseth:
Forecasting Intra-Hour Imbalances in Electric Power Systems. - Zekun Xu, Deovrat Kakde, Arin Chaudhuri:
Automatic Hyperparameter Tuning Method for Local Outlier Factor, with Applications to Anomaly Detection. - Baekjin Kim, Ambuj Tewari:
On the Optimality of Perturbations in Stochastic and Adversarial Multi-armed Bandit Problems. - Xinshi Chen, Eric Tsz Shun Chung:
Parametric FEM for Shape Optimization applied to Golgi Stack. - Arash Sarshar, Adrian Sandu:
Alternating Directions Implicit Integration in a General Linear Method Framework. - Belhal Karimi, Blazej Miasojedow, Eric Moulines, Hoi-To Wai:
Non-asymptotic Analysis of Biased Stochastic Approximation Scheme. - Sho Sonoda:
Numerical Integration Method for Training Neural Network. - Dmitry Berdinsky, Phongpitak Trakuldit:
Towards quantitative classification of Cayley automatic groups. - Kai Zhou, Ian Dobson, Zhaoyu Wang, Alexander Roitershtein, Arka P. Ghosh:
A Markovian influence graph formed from utility line outage data to mitigate cascading. - Santiago Mazuelas, Andrea Zanoni, Aritz Pérez:
Supervised classification via minimax probabilistic transformations. - Luiz G. A. Alves, Alberto Aleta, Francisco Aparecido Rodrigues, Yamir Moreno, Luís A. Nunes Amaral:
Anomaly detection in complex networks as a diagnosis of model over-simplification. - Amir Saberi, Farhad Farokhi, Girish N. Nair:
State Estimation over Worst-Case Erasure and Symmetric Channels with Memory. - Jaehyeok Shin, Aaditya Ramdas, Alessandro Rinaldo:
On the bias, risk and consistency of sample means in multi-armed bandits. - Joseph Attia:
The Applications of Graph Theory to Investing. - Tomasz Kusmierczyk, Joseph Sakaya, Arto Klami:
Variational Bayesian Decision-making for Continuous Utilities. - Andrew R. Barron, Jason M. Klusowski:
Complexity, Statistical Risk, and Metric Entropy of Deep Nets Using Total Path Variation. - András Gilyén, Tongyang Li:
Distributional property testing in a quantum world. - Sakshi Arya, Yuhong Yang:
Randomized Allocation with Nonparametric Estimation for Contextual Multi-Armed Bandits with Delayed Rewards. - Xiang Cheng, Peter L. Bartlett, Michael I. Jordan:
Quantitative Central Limit Theorems for Discrete Stochastic Processes. - Yajun Liu, Congxu Zhu, Xiaoheng Deng, Peiyuan Guan, Zhiwen Wan, Jie Luo, Enlu Liu, Honggang Zhang:
UAV-aided urban target tracking system based on edge computing. - Yutao Tang:
Distributed Optimization for a Class of High-order Nonlinear Multi-agent Systems with Unknown Dynamics. - Yutao Tang:
Distributed Optimal Steady-State Regulation for High-Order Multi-Agent Systems with External Disturbances. - Ximing Wang, Yue-Chi Ma, Min-Hsiu Hsieh, Man-Hong Yung:
Quantum Speedup in Adaptive Boosting of Binary Classification. - Krishna C. Bathina, Filippo Radicchi:
Error-Correcting Decoders for Communities in Networks. - Mark Magsino, Dustin G. Mixon, Hans Parshall:
A Delsarte-Style Proof of the Bukh-Cox Bound. - Anwesh Reddy Gottu Mukkula, Radoslav Paulen:
Optimal Experiment Design in Nonlinear Parameter Estimation with Exact Confidence Regions. - Andreas Ekström, Christian Forssén, Christos Dimitrakakis, Devdatt P. Dubhashi, Håkan T. Johansson, Azam Sheikh Muhammad, Hans Salomonsson, Alexander Schliep:
Bayesian optimization in ab initio nuclear physics. - Adrien B. Taylor, Francis R. Bach:
Stochastic first-order methods: non-asymptotic and computer-aided analyses via potential functions. - Hisham Husain, Richard Nock, Robert C. Williamson:
Adversarial Networks and Autoencoders: The Primal-Dual Relationship and Generalization Bounds. - Yi-An Ma, Niladri S. Chatterji, Xiang Cheng, Nicolas Flammarion, Peter L. Bartlett, Michael I. Jordan:
Is There an Analog of Nesterov Acceleration for MCMC? - Sharath M. Shankaranarayana, Keerthi Ram, Kaushik Mitra, Mohanasankar Sivaprakasam:
Fully Convolutional Networks for Monocular Retinal Depth Estimation and Optic Disc-Cup Segmentation. - Ari Arapostathis, Vivek S. Borkar:
Average cost optimal control under weak hypotheses: Relative value iterations. - Santtu Tikka, Antti Hyttinen, Juha Karvanen:
Causal Effect Identification from Multiple Incomplete Data Sources: A General Search-based Approach. - Agustinus Kristiadi, Asja Fischer:
Predictive Uncertainty Quantification with Compound Density Networks. - Akshay Degwekar, Vinod Vaikuntanathan:
Computational Limitations in Robust Classification and Win-Win Results. - Jalil Taghia, Maria Bånkestad, Fredrik Lindsten, Thomas B. Schön:
Constructing the Matrix Multilayer Perceptron and its Application to the VAE. - Fatemeh Jamal, Fatemeh Ahmadi, Mohammad Khanzadeh, Saber Malekzadeh:
Application of image processing in optical method, Moire deflectometry for investigating the optical properties of zinc oxide nanoparticle. - Joseph Lam-Weil, Alexandra Carpentier, Bharath K. Sriperumbudur:
Local minimax rates for closeness testing of discrete distributions. - Geoffrey Wolfer, Aryeh Kontorovich:
Estimating the Mixing Time of Ergodic Markov Chains. - Emilie Kaufmann, Abbas Mehrabian:
New Algorithms for Multiplayer Bandits when Arm Means Vary Among Players. - Dafydd Gibbon, Xuewei Lin:
Rhythm Zone Theory: Speech Rhythms are Physical after all. - Meike Hatzel, Roman Rabinovich, Sebastian Wiederrecht:
Cyclewidth and the Grid Theorem for Perfect Matching Width of Bipartite Graphs. - A. Yamin, Michael Dayan, Letizia Squarcina, Paolo Brambilla, Vittorio Murino, Vaibhav A. Diwadkar, Diego Sona:
Comparison of brain connectomes using geodesic distance on manifold: a twin study. - Sergio Martin del Campo, Fredrik Sandin, Daniel Strömbergsson:
Dictionary learning approach to monitoring of wind turbine drivetrain bearings. - Yang Li, Tianxiang Gao, Junier Oliva:
A Forest from the Trees: Generation through Neighborhoods. - Alexander Rolle, Luis Scoccola:
Spaces of Clusterings. - Baruch Epstein, Ron Meir:
Generalization Bounds For Unsupervised and Semi-Supervised Learning With Autoencoders. - Yunong Shi, Nelson Leung, Pranav Gokhale, Zane M. Rossi, David I. Schuster, Henry Hoffmann, Frederic T. Chong:
Optimized Compilation of Aggregated Instructions for Realistic Quantum Computers. - Akshay Krishnamurthy, John Langford, Aleksandrs Slivkins, Chicheng Zhang:
Contextual Bandits with Continuous Actions: Smoothing, Zooming, and Adapting. - Hussein Hazimeh, Rahul Mazumder:
Learning Hierarchical Interactions at Scale: A Convex Optimization Approach. - Lilian Besson, Emilie Kaufmann:
The Generalized Likelihood Ratio Test meets klUCB: an Improved Algorithm for Piece-Wise Non-Stationary Bandits. - Côme Huré, Huyên Pham, Xavier Warin:
Some machine learning schemes for high-dimensional nonlinear PDEs. - Boris Shustin, Haim Avron:
Randomized Riemannian Preconditioning for Quadratically Constrained Problems. - Lorenzo Rimella, Nick Whiteley:
Exploiting locality in high-dimensional factorial hidden Markov models. - Dan Garber:
On the Convergence of Projected-Gradient Methods with Low-Rank Projections for Smooth Convex Minimization over Trace-Norm Balls and Related Problems. - El Mahdi El Mhamdi, Rachid Guerraoui, Sergei Volodin:
Fatal Brain Damage. - Álinson S. Xavier, Feng Qiu, Shabbir Ahmed:
Learning to Solve Large-Scale Security-Constrained Unit Commitment Problems. - Ji Xu, Arian Maleki, Kamiar Rahnama Rad:
Consistent Risk Estimation in High-Dimensional Linear Regression. - Katharina Korn, Bastian Seifert, Christian Uhl:
Dynamical Component Analysis (DyCA) and its application on epileptic EEG. - Xiao Xiao, Laurent Busé, Fehmi Cirak:
A non-iterative method for robustly computing the intersections between a line and a curve or surface. - Michael B. O'Connor, Simon J. Bennie, Helen M. Deeks, Alexander Jamieson-Binnie, Alex J. Jones, Robin J. Shannon, Rebecca Walters, Thomas J. Mitchell, Adrian J. Mulholland, David R. Glowacki:
An open-source multi-person virtual reality framework for interactive molecular dynamics: from quantum chemistry to drug binding. - Grant M. Rotskoff, Samy Jelassi, Joan Bruna, Eric Vanden-Eijnden:
Global convergence of neuron birth-death dynamics. - Svitlana Alkhimova:
Detection of perfusion ROI as a quality control in perfusion analysis. - Ehsan Kazemi, Liqiang Wang:
Asynchronous Delay-Aware Accelerated Proximal Coordinate Descent for Nonconvex Nonsmooth Problems. - Nicholas Frosst, Nicolas Papernot, Geoffrey E. Hinton:
Analyzing and Improving Representations with the Soft Nearest Neighbor Loss. - Prateek Jaiswal, Vinayak A. Rao, Harsha Honnappa:
Asymptotic Consistency of $α-$Rényi-Approximate Posteriors. - Andreas Maurer, Massimiliano Pontil:
Uniform concentration and symmetrization for weak interactions. - Michael A. Schwemmer, Po-Hsu Allen Chen, Mithun Balakrishna, Amy Leibrand, Aaron Leonard, Nancy J. McMillan, Jeffrey J. Geppert:
CMS Sematrix: A Tool to Aid the Development of Clinical Quality Measures (CQMs). - Alexander Y. Sun, Bridget R. Scanlon, Zizhan Zhang, David Walling, Soumendra N. Bhanja, Abhijit Mukherjee, Zhi Zhong:
Combining Physically-Based Modeling and Deep Learning for Fusing GRACE Satellite Data: Can We Learn from Mismatch? - Weili Chen, Jun Wu, Zibin Zheng, Chuan Chen, Yuren Zhou:
Market Manipulation of Bitcoin: Evidence from Mining the Mt. Gox Transaction Network. - (Withdrawn) Using multi-task learning to improve the performance of acoustic-to-word and conventional hybrid models.
- Arjun D. Desai, Garry Gold, Brian A. Hargreaves, Akshay Chaudhari:
Technical Considerations for Semantic Segmentation in MRI using Convolutional Neural Networks. - Amirhossein Reisizadeh, Saurav Prakash, Ramtin Pedarsani, Amir Salman Avestimehr:
CodedReduce: A Fast and Robust Framework for Gradient Aggregation in Distributed Learning. - Chiyuan Zhang, Samy Bengio, Yoram Singer:
Are All Layers Created Equal? - Yeshwanth Cherapanamjeri, Nicolas Flammarion, Peter L. Bartlett:
Fast Mean Estimation with Sub-Gaussian Rates. - Yeshwanth Cherapanamjeri, Peter L. Bartlett:
Testing Markov Chains without Hitting. - Thomas D. Schneider, Vishnu Jejjala:
Restriction enzymes use a 24 dimensional coding space to recognize 6 base long DNA sequences. - Hao Wang, Chengzhi Mao, Hao He, Mingmin Zhao, Tommi S. Jaakkola, Dina Katabi:
Bidirectional Inference Networks: A Class of Deep Bayesian Networks for Health Profiling. - Aichetou Bouchareb, Marc Boullé, Fabrice Rossi, Fabrice Clérot:
Un modèle Bayésien de co-clustering de données mixtes. - Abdolreza Rashno, Elyas Rashno:
Content-based image retrieval system with most relevant features among wavelet and color features. - Greg Wilburn, Himangshu Kalita, Aman Chandra, Stephen Schwartz, Erik Asphaug, Jekan Thangavelautham:
Guidance, Navigation and Control of Asteroid Mobile Imager and Geologic Observer (AMIGO). - Adrien Bouskela, Aman Chandra, Jekan Thangavelautham, Sergey Shkarayev:
Attitude Control of an Inflatable Sailplane for Mars Exploration. - Ravi Teja Nallapu, Jekan Thangavelautham:
Spacecraft Swarm Attitude Control for Small Body Surface Observation. - Lars Maaløe, Marco Fraccaro, Valentin Liévin, Ole Winther:
BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling. - Urtzi Ayesta, Tejas Bodas, Jan-Pieter L. Dorsman, Maaike Verloop:
A token-based central queue with order-independent service rates. - Ian McInerney, Eric C. Kerrigan, George A. Constantinides:
Bounding Computational Complexity under Cost Function Scaling in Predictive Control. - Ivan Makhotin, Dmitry A. Koroteev, Evgeny Burnaev:
Gradient Boosting to Boost the Efficiency of Hydraulic Fracturing. - Giacomo Baggio, Vaibhav Katewa, Fabio Pasqualetti:
Data-driven Learning of Minimum-Energy Controls for Linear Systems. - Naman Shukla, Arinbjörn Kolbeinsson, Ken Otwell, Lavanya Marla, Kartik Yellepeddi:
Dynamic Pricing for Airline Ancillaries with Customer Context. - Valery S. Shchesnovich:
Noise in BosonSampling and the threshold of efficient classical simulability. - Carl Feghali:
Reconfiguring 10-colourings of planar graphs. - Alice Cortinovis, Daniel Kressner, Stefano Massei:
On maximum volume submatrices and cross approximation for symmetric semidefinite and diagonally dominant matrices. - Erhan Bayraktar, Ibrahim Ekren, Yili Zhang:
On the asymptotic optimality of the comb strategy for prediction with expert advice. - Q. A. Meertens, C. G. H. Diks, H. Jaap van den Herik, Frank W. Takes:
A Bayesian Approach for Accurate Classification-Based Aggregates. - Alexandru Paler:
SurfBraid: A concept tool for preparing and resource estimating quantum circuits protected by the surface code. - Emmanuel Abbe, Enric Boix:
Subadditivity Beyond Trees and the Chi-Squared Mutual Information. - Akshay Rangamani, Nam H. Nguyen, Abhishek Kumar, Dzung T. Phan, Sang H. Chin, Trac D. Tran:
A Scale Invariant Flatness Measure for Deep Network Minima. - Hee-Soo Heo, Jee-weon Jung, Il-Ho Yang, Sung-Hyun Yoon, Hye-jin Shim, Ha-Jin Yu:
End-to-end losses based on speaker basis vectors and all-speaker hard negative mining for speaker verification. - Dawei Ding, Yihui Quek, Peter W. Shor, Mark M. Wilde:
Entropy Bound for the Classical Capacity of a Quantum Channel Assisted by Classical Feedback. - David A. Barmherzig, Ju Sun, Emmanuel J. Candès, T. J. Lane, Po-Nan Li:
Dual-Reference Design for Holographic Coherent Diffraction Imaging. - Romain Lopez, Chenchen Li, Xiang Yan, Junwu Xiong, Michael I. Jordan, Yuan Qi, Le Song:
Cost-Effective Incentive Allocation via Structured Counterfactual Inference. - Anshul Thakur, Pulkit Sharma, Vinayak Abrol, Padmanabhan Rajan:
Conv-codes: Audio Hashing For Bird Species Classification. - Quentin Bertrand, Mathurin Massias, Alexandre Gramfort, Joseph Salmon:
Concomitant Lasso with Repetitions (CLaR): beyond averaging multiple realizations of heteroscedastic noise. - Takafumi Kajihara, Motonobu Kanagawa, Yuuki Nakaguchi, Kanishka Khandelwal, Kenji Fukumizu:
Model Selection for Simulator-based Statistical Models: A Kernel Approach. - Sunghwan Joo, Sungmin Cha, Taesup Moon:
DoPAMINE: Double-sided Masked CNN for Pixel Adaptive Multiplicative Noise Despeckling. - Panos Parpas, Corey Muir:
Predict Globally, Correct Locally: Parallel-in-Time Optimal Control of Neural Networks. - Wei Rao, Chenglin Xu, Eng Siong Chng, Haizhou Li:
Target Speaker Extraction for Overlapped Multi-Talker Speaker Verification. - Malik Tiomoko, Florent Bouchard, Guillaume Ginolhac, Romain Couillet:
Random Matrix Improved Covariance Estimation for a Large Class of Metrics. - ChangYong Oh, Kamil Adamczewski, Mijung Park:
Radial and Directional Posteriors for Bayesian Neural Networks. - Thong Nguyen, Tianjian Lu, Ken Wu, José E. Schutt-Ainé:
Fast Transient Simulation of High-Speed Channels Using Recurrent Neural Network. - Mario Zusag, Sujal R. Desai, Marcello Di Paolo, Thomas Semple, Anand Shah, Elsa D. Angelini:
SAPSAM - Sparsely Annotated Pathological Sign Activation Maps - A novel approach to train Convolutional Neural Networks on lung CT scans using binary labels only. - Ganapati Bhat, Kunal Bagewadi, Hyung Gyu Lee, Ümit Y. Ogras:
REAP: Runtime Energy-Accuracy Optimization for Energy Harvesting IoT Devices. - Alessio Zappone, Marco Di Renzo, Mérouane Debbah:
Wireless Networks Design in the Era of Deep Learning: Model-Based, AI-Based, or Both? - Aradhana Singh, Md Izhar Ashraf, Sitabhra Sinha:
Anti-modular nature of partially bipartite networks makes them infra small-world. - (Withdrawn) Momentum Schemes with Stochastic Variance Reduction for Nonconvex Composite Optimization.
- Jianwen Xie, Zilong Zheng, Xiaolin Fang, Song-Chun Zhu, Ying Nian Wu:
Multimodal Conditional Learning with Fast Thinking Policy-like Model and Slow Thinking Planner-like Model. - Houpu Yao, Jingjing Wen, Yi Ren, Bin Wu, Ze Ji:
Low-cost Measurement of Industrial Shock Signals via Deep Learning Calibration. - Qi Wang, Roman Verba, Thomas Brächer, Philipp Pirro, Andrii V. Chumak:
Integrated magnonic half-adder. - Stephen G. Odaibo, Mikelson MomPremier, Richard Y. Hwang, Salman J. Yousuf, Steven L. Williams, Joshua Grant:
Mobile Artificial Intelligence Technology for Detecting Macula Edema and Subretinal Fluid on OCT Scans: Initial Results from the DATUM alpha Study. - Rodrigo A. Velez:
Expressive mechanisms for equitable rent division on a budget. - Zdenek Dvorák, Tomás Masarík, Jan Musílek, Ondrej Pangrác:
Flexibility of triangle-free planar graphs. - Yoshihiro Nagano, Shoichiro Yamaguchi, Yasuhiro Fujita, Masanori Koyama:
A Differentiable Gaussian-like Distribution on Hyperbolic Space for Gradient-Based Learning. - Jian Guo Zhou:
Macroscopic Lattice Boltzmann Method for Shallow Water Equations (MacLABSWE). - (Withdrawn) K-nn active learning under local smoothness condition.
- Radoje Darmanovic, Tamara Bulatovic, Seid Salkovic:
Iris Image Processing in Compressive Sensing Scenario. - Chariton Chalvatzis, Dimitrios Hristu-Varsakelis:
High-performance stock index trading: making effective use of a deep LSTM neural network. - Amirata Ghorbani, James Wexler, Been Kim:
Automating Interpretability: Discovering and Testing Visual Concepts Learned by Neural Networks. - Colin Do-Yan Lee, John Watrous:
Detecting mixed-unitary quantum channels is NP-hard. - Edwin Fong, Simon Lyddon, Christopher C. Holmes:
Scalable Nonparametric Sampling from Multimodal Posteriors with the Posterior Bootstrap. - Ross Duncan, Aleks Kissinger, Simon Perdrix, John van de Wetering:
Graph-theoretic Simplification of Quantum Circuits with the ZX-calculus. - Fritz Obermeyer, Eli Bingham, Martin Jankowiak, Justin T. Chiu, Neeraj Pradhan, Alexander M. Rush, Noah D. Goodman:
Tensor Variable Elimination for Plated Factor Graphs. - Ji Guan, Yuan Feng, Andrea Turrini, Mingsheng Ying:
Model Checking Applied to Quantum Physics. - Daniel Bienstock, Apurv Shukla, Seyoung Yun:
Non-Stationary Streaming PCA. - Venkata Krishna Pillutla, Vincent Roulet, Sham M. Kakade, Zaïd Harchaoui:
A Smoother Way to Train Structured Prediction Models. - Ilya Feige:
Invariant-equivariant representation learning for multi-class data. - Dimitris Bertsimas, Michael Lingzhi Li:
Accounting for Significance and Multicollinearity in Building Linear Regression Models. - Alexander Hanbo Li, Jelena Bradic:
Censored Quantile Regression Forests. - Wei Chen, Hythem Sidky, Andrew L. Ferguson:
Nonlinear Discovery of Slow Molecular Modes using Hierarchical Dynamics Encoders. - Nick James, Román Marchant, Richard Gerlach, Sally Cripps:
Bayesian Nonparametric Adaptive Spectral Density Estimation for Financial Time Series. - Radu Ioan Bot, Panayotis Mertikopoulos, Mathias Staudigl, Phan Tu Vuong:
Forward-backward-forward methods with variance reduction for stochastic variational inequalities. - Xu Dong, Swapnil Vekhande, Guohua Cao:
Sinogram interpolation for sparse-view micro-CT with deep learning neural network. - Lijun Ding, Alp Yurtsever, Volkan Cevher, Joel A. Tropp, Madeleine Udell:
An Optimal-Storage Approach to Semidefinite Programming using Approximate Complementarity. - I. Zakir Ahmed, Hamid R. Sadjadpour, Shahram Yousefi:
Optimal Bit Allocation Variable-Resolution ADC for Massive MIMO. - Zihao Zhu, Changchang Yin, Buyue Qian, Yu Cheng, Jishang Wei, Fei Wang:
Measuring Patient Similarities via a Deep Architecture with Medical Concept Embedding. - Lei Li, Jian-Guo Liu, Zibu Liu, Jianfeng Lu:
A stochastic version of Stein Variational Gradient Descent for efficient sampling. - Cristobal Valenzuela, Felipe A. Tobar:
Low-pass filtering as Bayesian inference. - Chu Qin, Ying Tan, Shangying Chen, Xian Zeng, Xingxing Qi, Tian Jin, Huan Shi, Yiwei Wan, Yu Chen, Jingfeng Li, Weidong He, Yali Wang, Peng Zhang, Feng Zhu, Hongping Zhao, Yu Yang Jiang, Yuzong Chen:
Clustering Bioactive Molecules in 3D Chemical Space with Unsupervised Deep Learning. - Manuel Kauers, Martina Seidl, Doron Zeilberger:
On the maximal minimal cube lengths in distinct DNF tautologies. - Emil Saucan:
Metric Curvatures and their Applications 2: Metric Ricci Curvature and Flow. - James P. L. Tan:
Simulating extrapolated dynamics with parameterization networks. - Przemyslaw Bancerowski, Krzysztof Malarz:
Multi-choice opinion dynamics model based on Latane theory. - Mohammad Habibi, Ahmad Ayatollahi, Niyoosha Dallalazar, Ali Kermani:
Lumen boundary detection using neutrosophic c-means in IVOCT images. - Yuelong Li, Mohammad Tofighi, Junyi Geng, Vishal Monga, Yonina C. Eldar:
An Algorithm Unrolling Approach to Deep Blind Image Deblurring. - Xiaohui Yang, Li Tian, Yunmei Chen, Lijun Yang, Shuang Xu, Wenming Wu:
Inverse Projection Representation and Category Contribution Rate for Robust Tumor Recognition. - Ananya Uppal, Shashank Singh, Barnabás Póczos:
Nonparametric Density Estimation under Besov IPM Losses. - Alessio Benavoli, Alessandro Facchini, Marco Zaffalon:
Computational Complexity and the Nature of Quantum Mechanics (Extended version). - Salimeh Yasaei Sekeh, Alfred O. Hero III:
Feature Selection for multi-labeled variables via Dependency Maximization. - Farshid Sahba, Amin Sahba, Ramin Sahba:
Helping Blind People in Their Meeting Locations to Find Each Other Using RFID Technology. - Oded Bialer, Noa Garnett, Tom Tirer:
Performance Advantages of Deep Neural Networks for Angle of Arrival Estimation. - Carmen D'Andrea, Adrian García-Rodríguez, Giovanni Geraci, Lorenzo Galati-Giordano, Stefano Buzzi:
Cell-free Massive MIMO for UAV Communications. - Xingzhi Yue, Neofytos Dimitriou, Ognjen Arandjelovic:
Colorectal Cancer Outcome Prediction from H&E Whole Slide Images using Machine Learning and Automatically Inferred Phenotype Profiles. - Hans-Andrea Loeliger, Pascal O. Vontobel:
Quantum Measurement as Marginalization and Nested Quantum Systems. - Shalev Ben-David, Robin Kothari:
Quantum distinguishing complexity, zero-error algorithms, and statistical zero knowledge. - Kevin Kaufmann, Chaoyi Zhu, Alexander S. Rosengarten, Daniel Maryanovsky, Tyler J. Harrington, Eduardo Marin, Kenneth S. Vecchio:
Paradigm shift in electron-based crystallography via machine learning. - Bin Shi, Simon S. Du, Weijie J. Su, Michael I. Jordan:
Acceleration via Symplectic Discretization of High-Resolution Differential Equations. - Alexandru Paler, Austin G. Fowler, Robert Wille:
Reliable quantum circuits have defects. - Xiaohai Tian, Eng Siong Chng, Haizhou Li:
A Vocoder-free WaveNet Voice Conversion with Non-Parallel Data. - Chi Jin, Praneeth Netrapalli, Rong Ge, Sham M. Kakade, Michael I. Jordan:
A Short Note on Concentration Inequalities for Random Vectors with SubGaussian Norm. - Nasim Nematzadeh, David M. W. Powers:
Prediction of Dashed Café Wall illusion by the Classical Receptive Field Model. - Dmitry Babichev, Dmitrii Ostrovskii, Francis R. Bach:
Efficient Primal-Dual Algorithms for Large-Scale Multiclass Classification. - Pierre Perrault, Vianney Perchet, Michal Valko:
Exploiting Structure of Uncertainty for Efficient Combinatorial Semi-Bandits. - Nasir Saeed, Tareq Y. Al-Naffouri, Mohamed-Slim Alouini:
Towards the Internet of Underground Things: A Systematic Survey. - Jean-Camille Birget:
The word problem of the Brin-Thompson groups is coNP-complete. - Roy Cerqueti, Gian Paolo Clemente, Rosanna Grassi:
Stratified communities in complex business networks. - Jan Hubicka, Matej Konecný, Jaroslav Nesetril:
All those EPPA classes (Strengthenings of the Herwig-Lascar theorem). - Marc G. Leguia, Zoran Levnajic, Ljupco Todorovski, Bernard Zenko:
Reconstructing dynamical networks via feature ranking. - Kae-An Liu, Costas D. Sarris:
Efficient Computation of High-Order Electromagnetic Field Derivatives for Multiple Design Parameters in FDTD. - Constantin Grigo, Phaedon-Stelios Koutsourelakis:
A physics-aware, probabilistic machine learning framework for coarse-graining high-dimensional systems in the Small Data regime. - Sahar Sadrizadeh, Ehsan Asadi, Farokh Marvasti:
A Fast Iterative Method for Removing Sparse Noise from Sparse Signals. - Gregor Dumphart, Bertold I. Bitachon, Armin Wittneben:
Magneto-Inductive Powering and Uplink of In-Body Microsensors: Feasibility and High-Density Effects. - Aditya Tandon, Aiiad Albeshri, Vijey Thayananthan, Wadee Alhalabi, Santo Fortunato:
Fast consensus clustering in complex networks. - Ted Dunning, Otmar Ertl:
Computing Extremely Accurate Quantiles Using t-Digests. - Or Sharir, Yoav Levine, Noam Wies, Giuseppe Carleo, Amnon Shashua:
Deep autoregressive models for the efficient variational simulation of many-body quantum systems. - Tao Sun, Dongsheng Li, Hao Jiang, Zhe Quan:
Iteratively reweighted penalty alternating minimization methods with continuation for image deblurring. - Zdenek Dvorák, Tomás Masarík, Jan Musílek, Ondrej Pangrác:
Flexibility of planar graphs of girth at least six. - Victor Veitch, Yixin Wang, David M. Blei:
Using Embeddings to Correct for Unobserved Confounding. - Marko Jereminov, Bryan Hooi, Amritanshu Pandey, Hyun Ah Song, Christos Faloutsos, Lawrence T. Pileggi:
Impact of Load Models on Power Flow Optimization. - Hakime Öztürk, Elif Özkirimli Ölmez, Arzucan Özgür:
WideDTA: prediction of drug-target binding affinity. - Hedayat Alghassi, Raouf Dridi, Sridhar R. Tayur:
Graver Bases via Quantum Annealing with Application to Non-Linear Integer Programs. - Vignesh Ravichandran, Balamurali Murugesan, Vaishali Balakarthikeyan, Sharath M. Shankaranarayana, Keerthi Ram, S. P. Preejith, Jayaraj Joseph, Mohanasankar Sivaprakasam:
RespNet: A deep learning model for extraction of respiration from photoplethysmogram. - Alex Lapanowski, Irina Gaynanova:
Sparse Feature Selection in Kernel Discriminant Analysis via Optimal Scoring. - Sim Jun Jie, Chan Fook Mun, Shibin Chen, Benjamin Hong Meng Tan, Khin Mi Mi Aung:
Achieving GWAS with Homomorphic Encryption. - Jose M. G. Vilar:
Winning the Big Data Technologies Horizon Prize: Fast and reliable forecasting of electricity grid traffic by identification of recurrent fluctuations. - Can Firtina, Jeremie S. Kim, Mohammed Alser, Damla Senol Cali, A. Ercüment Çiçek, Can Alkan, Onur Mutlu:
Apollo: A Sequencing-Technology-Independent, Scalable, and Accurate Assembly Polishing Algorithm. - Xin Zhang:
List edge coloring of outer-1-planar graphs. - Xavier Fontaine, Shie Mannor, Vianney Perchet:
A Problem-Adaptive Algorithm for Resource Allocation. - Lea Duncker, Gergo Bohner, Julien Boussard, Maneesh Sahani:
Learning interpretable continuous-time models of latent stochastic dynamical systems. - Andrew M. Webb, Charles Reynolds, Dan-Andrei Iliescu, Henry W. J. Reeve, Mikel Luján, Gavin Brown:
Joint Training of Neural Network Ensembles. - T. Tony Cai, Yichen Wang, Linjun Zhang:
The Cost of Privacy: Optimal Rates of Convergence for Parameter Estimation with Differential Privacy. - Abeer ElBahrawy, Laura Alessandretti, Andrea Baronchelli:
Wikipedia and Digital Currencies: Interplay Between Collective Attention and Market Performance. - Ramya Korlakai Vinayak, Weihao Kong, Gregory Valiant, Sham M. Kakade:
Maximum Likelihood Estimation for Learning Populations of Parameters. - Subhayan De, Jerrad Hampton, Kurt Maute, Alireza Doostan:
Topology Optimization under Uncertainty using a Stochastic Gradient-based Approach. - Alessio Benavoli, Alessandro Facchini, Marco Zaffalon:
Computational Complexity and the Nature of Quantum Mechanics. - Marius Buliga:
On the information content of the difference from hamiltonian evolution. - Amir-Hossein Bateni, Arnak S. Dalalyan:
Minimax rates in outlier-robust estimation of discrete models. - Mohammadreza Soltani, Swayambhoo Jain, Abhinav V. Sambasivan:
Learning Generative Models of Structured Signals from Their Superposition Using GANs with Application to Denoising and Demixing. - Ehsan Hajiramezanali, Seyyed Hamed Fouladi, Hamidreza Amindavar:
A Novel Maneuvering Target Tracking Approach by Stochastic Volatility GARCH Model. - Peilin Zhong, Yuchen Mo, Chang Xiao, Pengyu Chen, Changxi Zheng:
Rethinking Generative Coverage: A Pointwise Guaranteed Approach. - Chiyuan Zhang, Samy Bengio, Moritz Hardt, Yoram Singer:
Identity Crisis: Memorization and Generalization under Extreme Overparameterization. - Nikolaus Kriegeskorte, Tal Golan:
Neural network models and deep learning - a primer for biologists. - Yohsuke Murase, Hang-Hyun Jo, János Török, János Kertész, Kimmo Kaski:
Sampling networks by nodal attributes. - Fadhel Ayed, Juho Lee, François Caron:
Beyond the Chinese Restaurant and Pitman-Yor processes: Statistical Models with Double Power-law Behavior. - Cupjin Huang, Michael Newman, Mario Szegedy:
Explicit lower bounds on strong simulation of quantum circuits in terms of $T$-gate count. - Hicham Janati, Thomas Bazeille, Bertrand Thirion, Marco Cuturi, Alexandre Gramfort:
Group level MEG/EEG source imaging via optimal transport: minimum Wasserstein estimates. - Dimitri Lajou:
On the achromatic number of signed graphs. - Andrea Alamia, Victor Gauducheau, Dimitri Paisios, Rufin VanRullen:
Which Neural Network Architecture matches Human Behavior in Artificial Grammar Learning? - Jukka Hirvasniemi, Willem Paul Gielis, Saeed Arbabi, Rintje Agricola, Willem Evert van Spil, Vahid Arbabi, Harrie Weinans:
Bone Texture Analysis for Prediction of Incident Radio-graphic Hip Osteoarthritis Using Machine Learning: Data from the Cohort Hip and Cohort Knee (CHECK) study. - Étienne Bamas, Louis Esperet:
Local approximation of the Maximum Cut in regular graphs. - Xiang Li, Shusen Wang, Zhihua Zhang:
Do Subsampled Newton Methods Work for High-Dimensional Data? - Duong Nguyen, Oliver S. Kirsebom, Fábio Frazão, Ronan Fablet, Stan Matwin:
Recurrent Neural Networks with Stochastic Layers for Acoustic Novelty Detection. - Michael Kampffmeyer, Sigurd Løkse, Filippo Maria Bianchi, Lorenzo Livi, Arnt-Børre Salberg, Robert Jenssen:
Deep Divergence-Based Approach to Clustering. - Wenzhong Yan, Yun-Chen Yu, Ankur Mehta:
Analytical Modeling for Rapid Design of Bistable Buckled Beams. - Sumukh Deshpande, James Shuttleworth, Jianhua Yang, Sandy Taramonli, Matthew England:
PLIT: An alignment-free computational tool for identification of long non-coding RNAs in plant transcriptomic datasets. - Zhanyu Ma, Jalil Taghia, Jun Guo:
On the Convergence of Extended Variational Inference for Non-Gaussian Statistical Models. - Hugo Lhachemi, Christophe Prieur:
Feedback Stabilization of a Class of Diagonal Infinite-Dimensional Systems with Delay Boundary Control. - Francesco Paolo Casale, Jonathan Gordon, Nicoló Fusi:
Probabilistic Neural Architecture Search. - Reza Ghaffari, Farzad Shirazian, Ming Hu, Roger A. Sauer:
A nonlinear hyperelasticity model for single layer blue phosphorus based on ab-initio calculations. - Devavrat Shah, Qiaomin Xie, Zhi Xu:
On Reinforcement Learning Using Monte Carlo Tree Search with Supervised Learning: Non-Asymptotic Analysis. - Andrea Coladangelo:
Smart contracts meet quantum cryptography. - Jun Wang, Jian Gao, Jin-Hu Liu, Dan Yang, Tao Zhou:
Regional economic status inference from information flow and talent mobility. - Kyle W. Higham, Michele Governale, Adam B. Jaffe, Ulrich Zülicke:
Ex-ante measure of patent quality reveals intrinsic fitness for citation-network growth. - Anastasia Borovykh, Cornelis W. Oosterlee, Sander M. Bohté:
Generalisation in fully-connected neural networks for time series forecasting. - Fernando Soler-Toscano:
Which is the least complex explanation? Abduction and complexity. - Nathan Kallus:
Classifying Treatment Responders Under Causal Effect Monotonicity. - Thembelihle Dlamini, Ángel Fernández Gambín, Daniele Munaretto, Michele Rossi:
Online Resource Management in Energy Harvesting BS Sites through Prediction and Soft-Scaling of Computing Resources. - Crystal T. Nguyen, Daniel J. Luckett, Anna R. Kahkoska, Grace E. Shearrer, Donna Spruijt-Metz, Jaimie N. Davis, Michael R. Kosorok:
Estimating Individualized Treatment Regimes from Crossover Designs. - Philippe Poulin, Daniel Jörgens, Pierre-Marc Jodoin, Maxime Descoteaux:
Tractography and machine learning: Current state and open challenges. - Raúl V. Casaña Eslava, Paulo J. G. Lisboa, Sandra Ortega-Martorell, Ian H. Jarman, José David Martín-Guerrero:
A Probabilistic framework for Quantum Clustering. - Sebastian Ament, John M. Gregoire, Carla P. Gomes:
Exponentially-Modified Gaussian Mixture Model: Applications in Spectroscopy. - Yury Polyanskiy, Yihong Wu:
Dualizing Le Cam's method, with applications to estimating the unseens. - Henry W. J. Reeve, Ata Kabán:
Classification with unknown class conditional label noise on non-compact feature spaces. - Erick Schmidt, Misbahuddin A. Mohammed, David Akopian:
A Performance Study of a Fast-Rate WLAN Fingerprint Measurement Collection Method. - Vivi Alatas, Arun Chandrasekhar, Markus Mobius, Benjamin A. Olken, Cindy Paladines:
When Celebrities Speak: A Nationwide Twitter Experiment Promoting Vaccination in Indonesia. - You-neng Guo, Ke Zeng, Ping-Xing Chen:
Memory effects teleportation of quantum Fisher information under decoherence. - Nhan H. Pham, Lam M. Nguyen, Dzung T. Phan, Quoc Tran-Dinh:
ProxSARAH: An Efficient Algorithmic Framework for Stochastic Composite Nonconvex Optimization. - Michael Lesnick, Matthew Wright:
Computing Minimal Presentations and Betti Numbers of 2-Parameter Persistent Homology. - Maxime Vono, Nicolas Dobigeon, Pierre Chainais:
Asymptotically exact data augmentation: models, properties and algorithms. - Pejman Farhadi Ghalati, Satya Swarup Samal, Jayesh Sudhir Bhat, Robert Deisz, Gernot Marx, Andreas Schuppert:
Critical Transitions in Intensive Care Units: A Sepsis Case Study. - Roshan Warman, Iuliana Ciocanea Teodorescu, Razvan Teodorescu:
Effective distribution of codewords for Low Density Parity Check Cycle codes in the presence of disorder. - Ali Hirsa, Tugce Karatas, Amir Oskoui:
Supervised Deep Neural Networks (DNNs) for Pricing/Calibration of Vanilla/Exotic Options Under Various Different Processes. - Janek Gröhl, Thomas Kirchner, Tim Adler, Lena Maier-Hein:
Estimation of blood oxygenation with learned spectral decoloring for quantitative photoacoustic imaging (LSD-qPAI). - Amine Bohi, Xiaoyu Wang, Mariam Al Harrach, Mickaël Dinomais, François Rousseau, Julien Lefèvre:
Global Perturbation of Initial Geometry in a Biomechanical Model of Cortical Morphogenesis. - Vincent Dutordoir, Mark van der Wilk, Artem Artemev, Marcin Tomczak, James Hensman:
Translation Insensitivity for Deep Convolutional Gaussian Processes. - Chong Shangguan, Itzhak Tamo:
Universally Sparse Hypergraphs with Applications to Coding Theory. - Matthew de Brecht, Arno Pauly, Matthias Schröder:
Overt choice. - Xinyue Zhang, Yanfang Wang, Wei Zhang, Yueqiu Sun, Siyu He, Gabriella Contardo, Francisco Villaescusa-Navarro, Shirley Ho:
From Dark Matter to Galaxies with Convolutional Networks. - Rini Mayasari, Nono Heryana:
Reduce Noise in Computed Tomography Image using Adaptive Gaussian Filter. - Song Mei, Theodor Misiakiewicz, Andrea Montanari:
Mean-field theory of two-layers neural networks: dimension-free bounds and kernel limit. - Enguerrand Horel, Kay Giesecke:
Towards Explainable AI: Significance Tests for Neural Networks. - Shen Wang, Ahmad F. Taha, Nikolaos Gatsis, Marcio Giacomoni:
Geometric Programming-Based Control for Nonlinear, DAE-Constrained Water Distribution Networks. - Yan-Hong Yang, Wen-Jie Xie, Ming-Xia Li, Zhi-Qiang Jiang, Wei-Xing Zhou:
Statistical properties of user activity fluctuations in virtual worlds. - Hanshen Xiao, Ye Yu, Srini Devadas:
On Privacy-preserving Decentralized Optimization through Alternating Direction Method of Multipliers. - Oswin Aichholzer, Jean Cardinal, Tony Huynh, Kolja Knauer, Torsten Mütze, Raphael Steiner, Birgit Vogtenhuber:
Flip distances between graph orientations. - Jangsik Cho, Xiaofeng Wang, Yifan Xu, Jiayang Sun:
LISA: a MATLAB package for Longitudinal Image Sequence Analysis. - Mingao Yuan:
On the geometric structure ofsome statistical manifolds. - Feihu Huang, Bin Gu, Zhouyuan Huo, Songcan Chen, Heng Huang:
Faster Gradient-Free Proximal Stochastic Methods for Nonconvex Nonsmooth Optimization. - Sentao Miao, Xi Chen, Xiuli Chao, Jiaxi Liu, Yidong Zhang:
Context-Based Dynamic Pricing with Online Clustering. - Kevin Jin, Tahsin Saffat, Marek A. Perkowski:
A Reed Muller-based approach for optimization of general binary quantum multiplexers. - Fangshu Yang, Jianwei Ma:
Deep-learning inversion: a next generation seismic velocity-model building method. - Yang Liu, Zong-Wen Yu, Weijun Zhang, Jian-Yu Guan, Jiu-Peng Chen, Chi Zhang, Xiaolong Hu, Hao Li, Teng-Yun Chen, Lixing You, Zhen Wang, Xiang-Bin Wang, Qiang Zhang, Jian-Wei Pan:
Experimental Twin-Field Quantum Key Distribution Through Sending-or-Not-Sending. - Nir Billfeld, Moshe Kim:
Semiparametric correction for endogenous truncation bias with Vox Populi based participation decision. - Sungwoo Park, Anum Ali, Nuria González Prelcic, Robert W. Heath Jr.:
Spatial Channel Covariance Estimation for Hybrid Architectures Based on Tensor Decompositions. - Archontia C. Giannopoulou, Meike Hatzel, Sebastian Wiederrecht:
Braces of Perfect Matching Width 2. - Svitlana M. Alkhimova:
Automated Detection of Regions of Interest for Brain Perfusion MR Images. - B. B. Cassal-Quiroga, Eric Campos-Cantón:
Generation of dynamical S-boxes via lag time chaotic series for cryptosystems. - Raoul Heese, Michal Walczak, Tobias Seidel, Norbert Asprion, Michael Bortz:
Optimized data exploration applied to the simulation of a chemical process. - On-Hei Solomon Lo:
Find Subtrees of Specified Weight and Cycles of Specified Length in Linear Time. - Sebastian Farquhar, Yarin Gal:
A Unifying Bayesian View of Continual Learning. - Sebastian Farquhar, Yarin Gal:
Differentially Private Continual Learning. - Fabio Anselmi, Benedetta Franceschiello, Micah M. Murray, Lorenzo Rosasco:
A computational model for grid maps in neural populations. - Thierry Coquand, Simon Huber, Christian Sattler:
Homotopy canonicity for cubical type theory. - Laura Anderlucci, Cinzia Viroli:
Going deep in clustering high-dimensional data: deep mixtures of unigrams for uncovering topics in textual data. - Dorian Cazau:
Theory-plus-code documentation of the DEPAM workflow for soundscape description. - Jaehoon Lee, Lechao Xiao, Samuel S. Schoenholz, Yasaman Bahri, Jascha Sohl-Dickstein, Jeffrey Pennington:
Wide Neural Networks of Any Depth Evolve as Linear Models Under Gradient Descent. - Ayse Alaca, Goldwyn Millar:
Jacobi Sums and Correlations of Sidelnikov Sequences. - P. A. M. Casares, M. A. Martin-Delgado:
A Quantum IP Predictor-Corrector Algorithm for Linear Programming. - Hafiz Malik:
Securing Voice-driven Interfaces against Fake (Cloned) Audio Attacks. - Leonardo Novelli, Patricia Wollstadt, Pedro A. M. Mediano, Michael Wibral, Joseph T. Lizier:
Large-scale directed network inference with multivariate transfer entropy and hierarchical statistical testing. - Tian Xie, Arthur France-Lanord, Yanming Wang, Yang Shao-Horn, Jeffrey C. Grossman:
Graph Dynamical Networks: Unsupervised Learning of Atomic Scale Dynamics in Materials. - Soufiane Hayou, Arnaud Doucet, Judith Rousseau:
On the Impact of the Activation Function on Deep Neural Networks Training. - William Fedus, Carles Gelada, Yoshua Bengio, Marc G. Bellemare, Hugo Larochelle:
Hyperbolic Discounting and Learning over Multiple Horizons. - Nouamane Laanait, Qian He, Albina Y. Borisevich:
Reconstruction of 3-D Atomic Distortions from Electron Microscopy with Deep Learning. - James Stokes, John Terilla:
Probabilistic Modeling with Matrix Product States. - Matthew S. Brennan, Guy Bresler, Wasim Huleihel:
Universality of Computational Lower Bounds for Submatrix Detection. - Julie Josse, Nicolas Prost, Erwan Scornet, Gaël Varoquaux:
On the consistency of supervised learning with missing values. - Leonid Matyushin, Alexey Zaytsev, Oleg Alenkin, Andrey Ustuzhanin:
Multifidelity Bayesian Optimization for Binomial Output. - Hamed Hassani, Amin Karbasi, Aryan Mokhtari, Zebang Shen:
Stochastic Conditional Gradient++. - Luc Le Magoarou, Stéphane Paquelet:
Performance of MIMO channel estimation with a physical model. - Charlotte Roman, Paolo Turrini:
How does information affect asymmetric congestion games? - Erick Schmidt, David Akopian, Daniel J. Pack:
Development of a Real-Time Software-Defined Radio GPS Receiver Exploiting a LabVIEW-based Instrumentation Environment. - Jinxi Guo, Tara N. Sainath, Ron J. Weiss:
A spelling correction model for end-to-end speech recognition. - Amirhossein Taghvaei, Amin Jalali:
2-Wasserstein Approximation via Restricted Convex Potentials with Application to Improved Training for GANs. - Sankalp Gilda:
Feature Selection for Better Spectral Characterization or: How I Learned to Start Worrying and Love Ensembles. - Ruiyi Zhang, Zheng Wen, Changyou Chen, Lawrence Carin:
Scalable Thompson Sampling via Optimal Transport. - Michael Cary:
Dominator Colorings of Digraphs. - Amirhossein Taghvaei, Prashant G. Mehta, Sean P. Meyn:
Gain function approximation in the Feedback Particle Filter. - Tellen D. Bennett, Seth Russell, James King, Lisa Schilling, Chan Voong, Nancy Rogers, Bonnie Adrian, Nicholas Bruce, Debashis Ghosh:
Accuracy of the Epic Sepsis Prediction Model in a Regional Health System. - Sevil Maghsadhagh, Anders Eklund, Hamid Behjat:
Graph Spectral Characterization of Brain Cortical Morphology. - Milan Resetar, Gojko Ratkovic, Svetlana Zecevic:
Comparison of some commonly used algorithms for sparse signal reconstruction. - Amin Abbasloo, Alan Salari:
Deep Modulation Embedding. - Zeev Dvir, Allen Liu:
Fourier and Circulant Matrices are Not Rigid. - Nathan Lindzey, Ansis Rosmanis:
A Tight Lower Bound for Index Erasure. - Laura Ciobanu, Murray Elder:
Solutions sets to systems of equations in hyperbolic groups are EDT0L in PSPACE. - N. Benjamin Erichson, Lionel Mathelin, Zhewei Yao, Steven L. Brunton, Michael W. Mahoney, J. Nathan Kutz:
Shallow Learning for Fluid Flow Reconstruction with Limited Sensors and Limited Data. - Weicheng Cai, Danwei Cai, Shen Huang, Ming Li:
Utterance-level end-to-end language identification using attention-based CNN-BLSTM. - Martin Ingram:
Gaussian Process Priors for Dynamic Paired Comparison Modelling. - Ayaka Sakata, Tomoyuki Obuchi:
Perfect reconstruction of sparse signals with piecewise continuous nonconvex penalties and nonconvexity control. - E. DeGiuli:
Emergence of order in random languages. - Karl Øyvind Mikalsen, Cristina Soguero-Ruíz, Filippo Maria Bianchi, Robert Jenssen:
Noisy multi-label semi-supervised dimensionality reduction. - Rami Daknama, Konstantinos Panagiotou, Simon Reisser:
Robustness of Randomized Rumour Spreading. - Aijun Zhang, Hengtao Zhang, Guosheng Yin:
Adaptive Iterative Hessian Sketch via A-Optimal Subsampling. - Emil Björnson, Luca Sanguinetti, Henk Wymeersch, Jakob Hoydis, Thomas L. Marzetta:
Massive MIMO is a Reality - What is Next? Five Promising Research Directions for Antenna Arrays. - Yuxin Chen, Yuejie Chi, Jianqing Fan, Cong Ma, Yuling Yan:
Noisy Matrix Completion: Understanding Statistical Guarantees for Convex Relaxation via Nonconvex Optimization. - Hugo Lhachemi, Christophe Prieur, Robert Shorten:
A LMI condition for the Robustness of Linear Predictor Feedback with Respect to Time-Varying Input Delays. - Horia Mania, Stephen Tu, Benjamin Recht:
Certainty Equivalent Control of LQR is Efficient. - Hsiang Hsu, Salman Salamatian, Flávio P. Calmon:
Correspondence Analysis Using Neural Networks. - (Withdrawn) Inference of a Multi-Domain Machine Learning Model to Predict Mortality in Hospital Stays for Patients with Cancer upon Febrile Neutropenia Onset.
- Alistair Shilton, Sunil Gupta, Santu Rana, Svetha Venkatesh, Majid Abdolshah, Dang Nguyen:
Stable Bayesian Optimisation via Direct Stability Quantification. - Avinash Barnwal, Hari Pad Bharti, Aasim Ali, Vishal Singh:
Stacking with Neural network for Cryptocurrency investment. - Qingqiong Cai, Neng Fan, Yongtang Shi, Shunyu Yao:
Integer Linear Programming Formulations for Double Roman Domination Problem. - Thilo von Neumann, Keisuke Kinoshita, Marc Delcroix, Shoko Araki, Tomohiro Nakatani, Reinhold Haeb-Umbach:
All-neural online source separation, counting, and diarization for meeting analysis. - Nikolaos Passalis, Anastasios Tefas, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis:
Deep Adaptive Input Normalization for Price Forecasting using Limit Order Book Data. - Ingo Gühring, Gitta Kutyniok, Philipp Petersen:
Error bounds for approximations with deep ReLU neural networks in $W^{s, p}$ norms. - Ziqing Wang, Robert A. Malaney, Jonathan Green:
Inter-satellite Quantum Key Distribution at Terahertz Frequencies. - Francisco Benita, Garvit Bansal, Georgios Piliouras, Bige Tunçer:
Short-distance commuters in the smart city. - Hayato Ushijima-Mwesigwa, Jeffrey D. Hyman, Aric A. Hagberg, Ilya Safro, Satish Karra, Carl W. Gable, Gowri Srinivasan:
Multilevel Graph Partitioning for Three-Dimensional Discrete Fracture Network Flow Simulations. - Silvija Kokalj-Filipovic, Rob Miller, Nicholas Chang, Chi Leung Lau:
Mitigation of Adversarial Examples in RF Deep Classifiers Utilizing AutoEncoder Pre-training. - Nauman Dawalatabad, Srikanth R. Madikeri, C. Chandra Sekhar, Hema A. Murthy:
Incremental Transfer Learning in Two-pass Information Bottleneck based Speaker Diarization System for Meetings. - Carl Feghali, Jirí Fiala:
Reconfiguration Graph for Vertex Colourings of Weakly Chordal Graphs. - Alexander Cowtan, Silas Dilkes, Ross Duncan, Alexandre Krajenbrink, Will Simmons, Seyon Sivarajah:
On the qubit routing problem. - Mark Rowland, Robert Dadashi, Saurabh Kumar, Rémi Munos, Marc G. Bellemare, Will Dabney:
Statistics and Samples in Distributional Reinforcement Learning. - Alexandru Paler, Daniel Herr, Simon J. Devitt:
Really Small Shoe Boxes - On Realistic Quantum Resource Estimation. - Cassandra Burdziak, Elham Azizi, Sandhya Prabhakaran, Dana Pe'er:
A Nonparametric Multi-view Model for Estimating Cell Type-Specific Gene Regulatory Networks. - Stefan Felsner, Torsten Ueckerdt:
A Note on Covering Young Diagrams with Applications to Local Dimension of Posets. - Aven Samareh, Shuai Huang:
UQ-CHI: An Uncertainty Quantification-Based Contemporaneous Health Index for Degenerative Disease Monitoring. - Matt Jordan, Naren Manoj, Surbhi Goel, Alexandros G. Dimakis:
Quantifying Perceptual Distortion of Adversarial Examples. - Michael Andrews, John Alison, Sitong An, Patrick Bryant, Bjorn Burkle, Sergei Gleyzer, Meenakshi Narain, Manfred Paulini, Barnabás Póczos, Emanuele Usai:
End-to-End Jet Classification of Quarks and Gluons with the CMS Open Data. - Christopher K. Wikle:
Comparison of Deep Neural Networks and Deep Hierarchical Models for Spatio-Temporal Data. - Masanori Yamada, Heecheol Kim, Kosuke Miyoshi, Hiroshi Yamakawa:
FAVAE: Sequence Disentanglement using Information Bottleneck Principle. - Yu Wang, Siqi Wu, Bin Yu:
Unique Sharp Local Minimum in $\ell_1$-minimization Complete Dictionary Learning. - Tomoyuki Morimae, Suguru Tamaki:
Depth-scaling fine-grained quantum supremacy based on SETH and qubit-scaling fine-grained quantum supremacy based on Orthogonal Vectors and 3-SUM. - Yajing Zheng, Zhaofei Yu, Shanshan Jia, Jian K. Liu, Tiejun Huang, Yonghong Tian:
Probabilistic Inference of Binary Markov Random Fields in Spiking Neural Networks through Mean-field Approximation. - Chin Hei Chan, Vahid Tarokh, Maosheng Xiong:
Convergence Rate of Empirical Spectral Distribution of Random Matrices from Linear Codes. - Annika Bach, Marco Cicalese, Matthias Ruf:
Random finite-difference discretizations of the Ambrosio-Tortorelli functional with optimal mesh size. - Akifumi Okuno, Hidetoshi Shimodaira:
Robust Graph Embedding with Noisy Link Weights. - Ertugrul Basar:
Transmission Through Large Intelligent Surfaces: A New Frontier in Wireless Communications. - Bernd Taschler, Frank Dondelinger, Sach Mukherjee:
Model-based clustering in very high dimensions via adaptive projections. - Huilin Qu, Loukas Gouskos:
ParticleNet: Jet Tagging via Particle Clouds. - Ethan Roberts, Bruce A. Bassett, Michelle Lochner:
Bayesian Anomaly Detection and Classification. - Jules Hedges:
From open learners to open games. - Nicole Mücke, Gergely Neu, Lorenzo Rosasco:
Beating SGD Saturation with Tail-Averaging and Minibatching. - Le Zheng, Marco Lops, Yonina C. Eldar, Xiaodong Wang:
Radar and Communication Co-existence: an Overview. - Philip Milton, Emanuele Giorgi, Samir Bhatt:
Spatial Analysis Made Easy with Linear Regression and Kernels. - Rafael Boloix-Tortosa, Juan José Murillo-Fuentes, Sotirios A. Tsaftaris:
The Generalized Complex Kernel Least-Mean-Square Algorithm. - Elena Smirnova, Elvis Dohmatob, Jérémie Mary:
Distributionally Robust Reinforcement Learning. - Ben Hamlin, Fang Song:
Quantum security of hash functions and property-preservation of iterated hashing. - Masaaki Harada:
New doubly even self-dual codes having minimum weight 20. - Matthias C. Caro:
Quantum Learning Boolean Linear Functions w.r.t. Product Distributions. - Xin Zhang, Bei Niu, Jiguo Yu:
A structure of 1-planar graph and its applications to coloring problems. - Anton Mallasto, Tom C. J. Dela Haije, Aasa Feragen:
A Formalization of The Natural Gradient Method for General Similarity Measures. - Thomas Baruchel:
Some new insights into Karatsuba's algorithm. - Ashok Cutkosky:
Combining Online Learning Guarantees. - Ashok Cutkosky:
Artificial Constraints and Lipschitz Hints for Unconstrained Online Learning. - Zeljko Kereta, Timo Klock, Valeriya Naumova:
Nonlinear generalization of the single index model. - Patrick R. Johnstone, Jonathan Eckstein:
Single-Forward-Step Projective Splitting: Exploiting Cocoercivity. - Yuzhou Chen, Yulia R. Gel, Vyacheslav Lyubchich, Kusha Nezafati:
Snowboot: Bootstrap Methods for Network Inference. - David J. Warne, Scott A. Sisson, Christopher C. Drovandi:
Acceleration of expensive computations in Bayesian statistics using vector operations. - Yi Han, David Hubczenko, Paul Montague, Olivier Y. de Vel, Tamas Abraham, Benjamin I. P. Rubinstein, Christopher Leckie, Tansu Alpcan, Sarah M. Erfani:
Adversarial Reinforcement Learning under Partial Observability in Software-Defined Networking. - Xin Fang, Liang Zou, Jin Li, Lei Sun, Zhen-Hua Ling:
Channel adversarial training for cross-channel text-independent speaker recognition. - Andrew M. Childs, Eddie Schoute, Cem M. Unsal:
Circuit Transformations for Quantum Architectures. - Mingjian He, Robert A. Malaney, Jonathan Green:
Photonic Engineering for CV-QKD over Earth-Satellite Channels. - Ya. A. Kharkov, V. E. Sotskov, A. A. Karazeev, Evgeniy O. Kiktenko, Aleksey K. Fedorov:
Revealing quantum chaos with machine learning. - Weitian Li, Haiguang Xu, Zhixian Ma, Ruimin Zhu, Dan Hu, Zhenghao Zhu, Junhua Gu, Chenxi Shan, Jie Zhu, Xiang-Ping Wu:
Separating the EoR Signal with a Convolutional Denoising Autoencoder: A Deep-learning-based Method. - Philip S. Chodrow:
Configuration Models of Random Hypergraphs and their Applications. - Shun Takeuchi, Takuya Nishino, Takahiro Saito, Isamu Watanabe:
Semi-supervised Approach to Soft Sensor Modeling for Fault Detection in Industrial Systems with Multiple Operation Modes. - Shun Takeuchi, Takahiro Saito:
Fault Diagnosis Method Based on Scaling Law for On-line Refrigerant Leak Detection. - Elif Tugçe Ceran, Deniz Gündüz, András György:
Reinforcement Learning to Minimize Age of Information with an Energy Harvesting Sensor with HARQ and Sensing Cost. - Matthias Hüser, Adrian Kündig, Walter Karlen, Valeria De Luca, Martin Jaggi:
Forecasting intracranial hypertension using multi-scale waveform metrics. - Adam J. Bennet, Shakib Daryanoosh:
Energy efficient mining on a quantum-enabled blockchain using light. - Hong Qian, Yu-Chen Cheng, Lowell F. Thompson:
Ternary Representation of Stochastic Change and the Origin of Entropy and Its Fluctuations. - Yongqiang Wang:
Privacy-Preserving Average Consensus via State Decomposition. - Navid Tadayon, Muhammed T. Rahman, Shuo Han, Shahrokh Valaee, Wei Yu:
Decimeter Ranging with Channel State Information. - Shubhanshu Shekhar, Tara Javidi:
Multiscale Gaussian Process Level Set Estimation. - Bo Chang, Minmin Chen, Eldad Haber, Ed H. Chi:
AntisymmetricRNN: A Dynamical System View on Recurrent Neural Networks. - Shahin Boluki, Siamak Zamani Dadaneh, Xiaoning Qian, Edward R. Dougherty:
Optimal Clustering with Missing Values. - Inon Peled, Kelvin Lee, Yu Jiang, Justin Dauwels, Francisco C. Pereira:
Online Framework for Demand-Responsive Stochastic Route Optimization. - Ziyu Wang, Tongzheng Ren, Jun Zhu, Bo Zhang:
Function Space Particle Optimization for Bayesian Neural Networks. - Anshul Thakur, Padmanabhan Rajan:
Directional Embedding Based Semi-supervised Framework For Bird Vocalization Segmentation. - Zhenisbek Assylbekov, Rustem Takhanov:
Context Vectors are Reflections of Word Vectors in Half the Dimensions. - Antreas Antoniou, Amos J. Storkey:
Assume, Augment and Learn: Unsupervised Few-Shot Meta-Learning via Random Labels and Data Augmentation. - Rémi Jézéquel, Pierre Gaillard, Alessandro Rudi:
Efficient online learning with kernels for adversarial large scale problems. - Jiahang Xu, Fangyang Jiao, Yechong Huang, Xinzhe Luo, Qian Xu, Ling Li, Xueling Liu, Chuantao Zuo, Ping Wu, Xiahai Zhuang:
A Fully-Automatic Framework for Parkinson's Disease Diagnosis by Multi-Modality Images. - Jeremy F. Alm:
Arithmetic Progressions of Length Three in Multiplicative Subgroups of $\mathbb{F}_p$. - Benedikt Zacher, Irina Czogiel:
Supervised learning improves disease outbreak detection. - Biwei Huang, Kun Zhang, Ruben Sanchez-Romero, Joseph D. Ramsey, Madelyn Glymour, Clark Glymour:
Diagnosis of Autism Spectrum Disorder by Causal Influence Strength Learned from Resting-State fMRI Data. - Nicolas Durrande, Vincent Adam, Lucas Bordeaux, Stefanos Eleftheriadis, James Hensman:
Banded Matrix Operators for Gaussian Markov Models in the Automatic Differentiation Era. - Weidi Xie, Arsha Nagrani, Joon Son Chung, Andrew Zisserman:
Utterance-level Aggregation For Speaker Recognition In The Wild. - Maryam Gholizadeh-Ansari, Javad Alirezaie, Paul S. Babyn:
Deep Learning for Low-Dose CT Denoising. - Feras A. Saad, Cameron E. Freer, Nathanael L. Ackerman, Vikash K. Mansinghka:
A Family of Exact Goodness-of-Fit Tests for High-Dimensional Discrete Distributions. - Brant Jones:
Weighted games of best choice. - Yun Seong Nam, Jwo-Sy Chen, Neal C. Pisenti, Kenneth Wright, Conor Delaney, Dmitri Maslov, Kenneth R. Brown, Stewart Allen, Jason M. Amini, Joel Apisdorf, Kristin M. Beck, Aleksey Blinov, Vandiver Chaplin, Mika Chmielewski, Coleman Collins, Shantanu Debnath, Andrew M. Ducore, Kai M. Hudek, Matthew J. Keesan, Sarah M. Kreikemeier, Jonathan Mizrahi, Phil Solomon, Mike Williams, Jaime David Wong-Campos, Christopher R. Monroe, Jungsang Kim:
Ground-state energy estimation of the water molecule on a trapped ion quantum computer. - Dustin G. Mixon, Hans Parshall:
The optimal packing of eight points in the real projective plane. - Filippo Fabiani, Giuseppe Belgioioso, Franco Blanchini, Patrizio Colaneri, Sergio Grammatico:
Convergence in uncertain linear systems. - Konstantin Posch, Jan Steinbrener, Jürgen Pilz:
Variational Inference to Measure Model Uncertainty in Deep Neural Networks. - Atul Ingle, Andreas Velten, Mohit Gupta:
High Flux Passive Imaging with Single-Photon Sensors. - Chun-Liang Li, Wei-Cheng Chang, Youssef Mroueh, Yiming Yang, Barnabás Póczos:
Implicit Kernel Learning. - Jacob Fox, Ray Li:
On Ramsey numbers of hedgehogs. - Sirisha Rambhatla, Nikos D. Sidiropoulos, Jarvis D. Haupt:
TensorMap: Lidar-Based Topological Mapping and Localization via Tensor Decompositions. - Rohit J. Kate, Noah Pearce, Debesh Mazumdar, Vani Nilakantan:
Continual Prediction from EHR Data for Inpatient Acute Kidney Injury. - Daniel Greenfeld, Meirav Galun, Ronen Basri, Irad Yavneh, Ron Kimmel:
Learning to Optimize Multigrid PDE Solvers. - Amin Jalali, Zhi Ding:
A New Algorithm for Improved Blind Detection of Polar Coded PDCCH in 5G New Radio. - Alexander D'Amour:
On Multi-Cause Causal Inference with Unobserved Confounding: Counterexamples, Impossibility, and Alternatives. - Sen Zhang, Xin Ma, Hongwang Lu, Weikai He, Weidong Zhou:
Accurate Target Localization by using Artificial Pinnae of brown long-eared bat. - Rui Shu, Hung H. Bui, Jay Whang, Stefano Ermon:
Training Variational Autoencoders with Buffered Stochastic Variational Inference. - Aleksey Buzmakov:
Machine learning for subgroup discovery under treatment effect. - Pouya Baniasadi, Vladimir Ejov, Jerzy A. Filar, Michael Haythorpe, Serguei Rossomakhine:
Deterministic "Snakes and Ladders" Heuristic for the Hamiltonian Cycle Problem. - Jerzy A. Filar, Michael Haythorpe, Richard Taylor:
Linearly-growing Reductions of Karp's 21 NP-complete Problems. - Michael Haythorpe:
FHCP Challenge Set: The First Set of Structurally Difficult Instances of the Hamiltonian Cycle Problem. - Michael Haythorpe, Jerzy A. Filar:
A Linearly-growing Conversion from the Set Splitting Problem to the Directed Hamiltonian Cycle Problem. - Tomoyuki Obuchi, Ayaka Sakata:
Cross validation in sparse linear regression with piecewise continuous nonconvex penalties and its acceleration. - Hao Zhang, Xiuyan Yang, Jianwei Ma:
Can learning from natural image denoising be used for seismic data interpolation? - Leon Bungert, Martin Burger, Daniel Tenbrinck:
Computing Nonlinear Eigenfunctions via Gradient Flow Extinction. - Kerstin Beer, Dmytro Bondarenko, Terry Farrelly, Tobias J. Osborne, Robert Salzmann, Ramona Wolf:
Efficient Learning for Deep Quantum Neural Networks. - Sarod Yatawatta:
Statistical Performance of Radio Interferometric Calibration. - Michele Allegra, Elena Facco, Alessandro Laio, Antonietta Mira:
Clustering by the local intrinsic dimension: the hidden structure of real-world data. - Mathias S. Jørgensen, Henrik L. Mortensen, Søren A. Meldgaard, Esben L. Kolsbjerg, Thomas L. Jacobsen, Knud H. Sørensen, Bjørk Hammer:
Atomistic structure learning. - Maiia Popel:
Cloud service CoCalc as a means of forming the professional competencies of the mathematics teacher. - Riccardo Moriconi, K. S. Sesh Kumar, Marc Peter Deisenroth:
High-Dimensional Bayesian Optimization with Manifold Gaussian Processes. - Fadhel Ayed, François Caron:
Nonnegative Bayesian nonparametric factor models with completely random measures for community detection. - Imon Banerjee, Luis de Sisternes, Joelle A. Hallak, Theodore Leng, Aaron Osborne, Mary Durbin, Daniel L. Rubin:
A Deep-learning Approach for Prognosis of Age-Related Macular Degeneration Disease using SD-OCT Imaging Biomarkers. - Yanzhi Chen, Michael U. Gutmann:
Adaptive Gaussian Copula ABC. - Sanjay P. Bhat, Prashanth L. A.:
Improved Concentration Bounds for Conditional Value-at-Risk and Cumulative Prospect Theory using Wasserstein distance. - Ray Jiang, Silvia Chiappa, Tor Lattimore, András György, Pushmeet Kohli:
Degenerate Feedback Loops in Recommender Systems. - Harm Derksen, Visu Makam:
An exponential lower bound for the degrees of invariants of cubic forms and tensor actions. - Mahesh Kumar Nandwana, Julien van Hout, Mitchell McLaren, Colleen Richey, Aaron Lawson, Maria Alejandra Barrios:
The VOiCES from a Distance Challenge 2019 Evaluation Plan. - Timur Bazhirov:
Data-centric online ecosystem for digital materials science. - Yusuke Kinoshita:
Analysis of Quantum Multi-Prover Zero-Knowledge Systems: Elimination of the Honest Condition and Computational Zero-Knowledge Systems for QMIP. - Clément Abi Nader, Nicholas Ayache, Philippe Robert, Marco Lorenzi:
Monotonic Gaussian Process for Spatio-Temporal Trajectory Separation in Brain Imaging Data. - Andrés F. López-Lopera, S. T. John, Nicolas Durrande:
Gaussian Process Modulated Cox Processes under Linear Inequality Constraints. - Paul Rousse, Pierre-Loïc Garoche, Didier Henrion:
Parabolic Set Simulation for Reachability Analysis of Linear Time Invariant Systems with Integral Quadratic Constraint. - Jakob Ablinger:
Discovering and Proving Infinite Pochhammer Sum Identities. - Yuanbo Nie, Eric C. Kerrigan:
Efficient and More Accurate Representation of Solution Trajectories in Numerical Optimal Control. - Callum Schofield, Jingbo B. Wang, Yuying Li:
Quantum walk inspired algorithm for graph similarity and isomorphism. - Konstantinos Polyzos, Evangelos Dermatas:
Real-Time detection, classification and DOA estimation of Unmanned Aerial Vehicle. - (Withdrawn) Generalized Karush-Kuhn-Tucker Conditions for Real Continuous Optimization Problems.
- Sindri Magnússon, Hossein Shokri Ghadikolaei, Na Li:
On Maintaining Linear Convergence of Distributed Learning and Optimization under Limited Communication. - Andjela Draganic:
Analysis of non-stationary multicomponent signals with a focus on the Compressive Sensing approach. - Moein Sarvaghad-Moghaddam:
Efficient Controlled Bidirectional Quantum Secure Direct Communication using entanglement swapping and EPR pairs. - Jean Tarbouriech, Alessandro Lazaric:
Active Exploration in Markov Decision Processes. - Hyobin Kim, Omar K. Pineda, Carlos Gershenson:
A Multilayer Structure Facilitates the Production of Antifragile Systems in Boolean Network Models. - Kaifeng Bu, Dax Enshan Koh:
Efficient classical simulation of Clifford circuits with nonstabilizer input states. - Shah Rukh Qasim, Jan Kieseler, Yutaro Iiyama, Maurizio Pierini:
Learning representations of irregular particle-detector geometry with distance-weighted graph networks. - Dorit Aharonov, Zvika Brakerski, Kai-Min Chung, Ayal Green, Ching-Yi Lai, Or Sattath:
On Quantum Advantage in Information Theoretic Single-Server PIR. - Avidit Acharya, Kirk Bansak, Jens Hainmueller:
Combining Outcome-Based and Preference-Based Matching: A Constrained Priority Mechanism. - Pingfan Song, Yonina C. Eldar, Gal Mazor, Miguel R. D. Rodrigues:
HYDRA: Hybrid Deep Magnetic Resonance Fingerprinting. - Guofeng Zhang:
Control of continuous-mode single-photon states: a review. - Jie Han, Yoshiharu Kohayakawa, Patrick Morris, Yury Person:
Finding any given 2-factor in sparse pseudorandom graphs efficiently.
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