astro-ph.IM - 仪器仪表和天体物理学方法
cs.AI - 人工智能 cs.CL - 计算与语言 cs.CR - 加密与安全 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DC - 分布式、并行与集群计算 cs.DS - 数据结构与算法 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.NE - 神经与进化计算 cs.NI - 网络和互联网体系结构 cs.RO - 机器人学 cs.SD - 声音处理 cs.SI - 社交网络与信息网络 econ.GN - 一般经济学 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SP - 信号处理 eess.SY - 系统和控制 hep-lat - 高能物理晶格 math.CO - 组合数学 math.ST - 统计理论 physics.soc-ph - 物理学与社会 q-bio.BM - 生物分子 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习
• [astro-ph.IM]Lessons Learned from the 1st ARIEL Machine Learning Challenge: Correcting Transiting Exoplanet Light Curves for Stellar Spots
• [cs.AI]Interleaving Fast and Slow Decision Making
• [cs.AI]Thinking About Causation: A Causal Language with Epistemic Operators
• [cs.CL]”Thy algorithm shalt not bear false witness”: An Evaluation of Multiclass Debiasing Methods on Word Embeddings
• [cs.CL]A Critical Assessment of State-of-the-Art in Entity Alignment
• [cs.CL]A Cross-lingual Natural Language Processing Framework for Infodemic Management
• [cs.CL]Biomedical Concept Relatedness — A large EHR-based benchmark
• [cs.CL]Cross-Domain Sentiment Classification With Contrastive Learning and Mutual Information Maximization
• [cs.CL]Domain-Specific Lexical Grounding in Noisy Visual-Textual Documents
• [cs.CL]How Many Pages? Paper Length Prediction from the Metadata
• [cs.CL]HyperText: Endowing FastText with Hyperbolic Geometry
• [cs.CL]Logic-guided Semantic Representation Learning for Zero-Shot Relation Classification
• [cs.CL]Phoneme Based Neural Transducer for Large Vocabulary Speech Recognition
• [cs.CL]RuREBus: a Case Study of Joint Named Entity Recognition and Relation Extraction from e-Government Domain
• [cs.CL]SLM: Learning a Discourse Language Representation with Sentence Unshuffling
• [cs.CL]Target Word Masking for Location Metonymy Resolution
• [cs.CL]Topic-Preserving Synthetic News Generation: An Adversarial Deep Reinforcement Learning Approach
• [cs.CL]Towards Accurate and Consistent Evaluation: A Dataset for Distantly-Supervised Relation Extraction
• [cs.CR]Being Single Has Benefits. Instance Poisoning to Deceive Malware Classifiers
• [cs.CR]Capture the Bot: Using Adversarial Examples to Improve CAPTCHA Robustness to Bot Attacks
• [cs.CR]Classifying Malware Images with Convolutional Neural Network Models
• [cs.CR]Detecting FDI Attack on Dense IoT Network with Distributed Filtering Collaboration and Consensus
• [cs.CR]Machine Learning (In) Security: A Stream of Problems
• [cs.CR]State sharding model on the blockchain
• [cs.CV]3D Object Recognition By Corresponding and Quantizing Neural 3D Scene Representations
• [cs.CV]All-Weather Object Recognition Using Radar and Infrared Sensing
• [cs.CV]An Unsupervised Approach towards Varying Human Skin Tone Using Generative Adversarial Networks
• [cs.CV]Auto-Panoptic: Cooperative Multi-Component Architecture Search for Panoptic Segmentation
• [cs.CV]Automatic Counting and Identification of Train Wagons Based on Computer Vision and Deep Learning
• [cs.CV]Correspondence Matrices are Underrated
• [cs.CV]Emotion Understanding in Videos Through Body, Context, and Visual-Semantic Embedding Loss
• [cs.CV]End-to-end Animal Image Matting
• [cs.CV]Experimental design for MRI by greedy policy search
• [cs.CV]Exploring Dynamic Context for Multi-path Trajectory Prediction
• [cs.CV]HOI Analysis: Integrating and Decomposing Human-Object Interaction
• [cs.CV]LIFI: Towards Linguistically Informed Frame Interpolation
• [cs.CV]MichiGAN: Multi-Input-Conditioned Hair Image Generation for Portrait Editing
• [cs.CV]PyraPose: Feature Pyramids for Fast and Accurate Object Pose Estimation under Domain Shift
• [cs.CV]SMOT: Single-Shot Multi Object Tracking
• [cs.CV]Small Noisy and Perspective Face Detection using Deformable Symmetric Gabor Wavelet Network
• [cs.CV]Statistical Analysis of Signal-Dependent Noise: Application in Blind Localization of Image Splicing Forgery
• [cs.CV]Unsupervised Monocular Depth Learning in Dynamic Scenes
• [cs.CV]What’s in a Loss Function for Image Classification?
• [cs.CY]A novel configurable agent-based simulation model for reducing patient’s waiting time in any oncology department
• [cs.CY]COVI-AgentSim: an Agent-based Model for Evaluating Methods of Digital Contact Tracing
• [cs.CY]Ethical Decision Making During Automated Vehicle Crashes
• [cs.DC]Multi-Core Processor Scheduling with Respect to Data Bus Bandwidth
• [cs.DC]To Push or To Pull: On Reducing Communication and Synchronization in Graph Computations
• [cs.DS]A more Pragmatic Implementation of the Lock-free, Ordered, Linked List
• [cs.DS]Log(Graph): A Near-Optimal High-Performance Graph Representation
• [cs.IR]A Model of Two Tales: Dual Transfer Learning Framework for Improved Long-tail Item Recommendation
• [cs.IR]Embedding Meta-Textual Information for Improved Learning to Rank
• [cs.IR]Multimodal Metric Learning for Tag-based Music Retrieval
• [cs.IT]An Efficient QAM Detection via Nonlinear Post-distortion for SC-FDE Transmission under PA Impairments with Memory
• [cs.IT]FPGA Implementation of Stair Matrix based Massive MIMO Detection
• [cs.IT]Feedback Insertion-Deletion Codes
• [cs.IT]How Does Performance Scale with Antenna Number for Extremely Large-Scale MIMO?
• [cs.IT]Polar Coded Repetition for Low-Capacity Channels
• [cs.IT]Two-stage coding over the Z-channel
• [cs.LG]A Greedy Algorithm for Quantizing Neural Networks
• [cs.LG]AgEBO-Tabular: Joint Neural Architecture and Hyperparameter Search with Autotuned Data-Parallel Training for Tabular Data
• [cs.LG]All of the Fairness for Edge Prediction with Optimal Transport
• [cs.LG]Calibration-Aided Edge Inference Offloading via Adaptive Model Partitioning of Deep Neural Networks
• [cs.LG]Centralized active tracking of a Markov chain with unknown dynamics
• [cs.LG]Deep Active Graph Representation Learning
• [cs.LG]Deep Hurdle Networks for Zero-Inflated Multi-Target Regression: Application to Multiple Species Abundance Estimation
• [cs.LG]Deep generative LDA
• [cs.LG]Empirical or Invariant Risk Minimization? A Sample Complexity Perspective
• [cs.LG]Goal directed molecule generation using Monte Carlo Tree Search
• [cs.LG]Handling Missing Data with Graph Representation Learning
• [cs.LG]Health improvement framework for planning actionable treatment process using surrogate Bayesian model
• [cs.LG]Information-theoretic Feature Selection via Tensor Decomposition and Submodularity
• [cs.LG]Inherent Trade-offs in the Fair Allocation of Treatments
• [cs.LG]Leveraging Extracted Model Adversaries for Improved Black Box Attacks
• [cs.LG]Multiplicative Updates for NMF with $β$-Divergences under Disjoint Equality Constraints
• [cs.LG]Multiscale Fractal Analysis of Stimulated EEG Signals with Application to Emotion Classification
• [cs.LG]Multiview Variational Graph Autoencoders for Canonical Correlation Analysis
• [cs.LG]On the Impact of Communities on Semi-supervised Classification Using Graph Neural Networks
• [cs.LG]POMO: Policy Optimization with Multiple Optima for Reinforcement Learning
• [cs.LG]Revisiting Graph Neural Networks for Link Prediction
• [cs.LG]Semantic Labeling Using a Deep Contextualized Language Model
• [cs.LG]Targeting for long-term outcomes
• [cs.LG]The Combinatorial Multi-Bandit Problem and its Application to Energy Management
• [cs.LG]Training Speech Recognition Models with Federated Learning: A Quality/Cost Framework
• [cs.LG]Unsupervised Embedding of Hierarchical Structure in Euclidean Space
• [cs.LG]Unsupervised One-shot Learning of Both Specific Instances and Generalised Classes with a Hippocampal Architecture
• [cs.NE]Fusion-Catalyzed Pruning for Optimizing Deep Learning on Intelligent Edge Devices
• [cs.NI]Unsatisfied Today, Satisfied Tomorrow: a simulation framework for performance evaluation of crowdsourcing-based network monitoring
• [cs.RO]Bayes-Adaptive Deep Model-Based Policy Optimisation
• [cs.RO]Bayesian Optimization Meets Laplace Approximation for Robotic Introspection
• [cs.RO]DeepWay: a Deep Learning Estimator for Unmanned Ground Vehicle Global Path Planning
• [cs.RO]Learning Vision-based Reactive Policies for Obstacle Avoidance
• [cs.RO]MAPS-X: Explainable Multi-Robot Motion Planning via Segmentation
• [cs.RO]Optimization Algorithm-Based Approach for Modelling Large Deflection of Cantilever Beam Subjected to Tip Load
• [cs.RO]PATHoBot: A Robot for Glasshouse Crop Phenotyping and Intervention
• [cs.RO]Robust Quadrupedal Locomotion on Sloped Terrains: A Linear Policy Approach
• [cs.RO]Towards Preference Learning for Autonomous Ground Robot Navigation Tasks
• [cs.RO]Virtual Surfaces and Attitude Aware Planning and Behaviours for Negative Obstacle Navigation
• [cs.SD]Deep Speaker Vector Normalization with Maximum Gaussianality Training
• [cs.SI]Prediction of USA November 2020 Election Results Using Multifactor Twitter Data Analysis Method
• [cs.SI]netrd: A library for network reconstruction and graph distances
• [econ.GN]Preventing COVID-19 Fatalities: State versus Federal Policies
• [eess.AS]Comparison of Speaker Role Recognition and Speaker Enrollment Protocol for conversational Clinical Interviews
• [eess.IV]Automatic Myocardial Infarction Evaluation from Delayed-Enhancement Cardiac MRI using Deep Convolutional Networks
• [eess.IV]COVID-FACT: A Fully-Automated Capsule Network-based Framework for Identification of COVID-19 Cases from Chest CT scans
• [eess.IV]CT-CAPS: Feature Extraction-based Automated Framework for COVID-19 Disease Identification from Chest CT Scans using Capsule Networks
• [eess.IV]Development and Evaluation of a Deep Neural Network for Histologic Classification of Renal Cell Carcinoma on Biopsy and Surgical Resection Slides
• [eess.IV]FLANNEL: Focal Loss Based Neural Network Ensemble for COVID-19 Detection
• [eess.SP]DeepRx MIMO: Convolutional MIMO Detection with Learned Multiplicative Transformations
• [eess.SP]Interference Reduction in Virtual Cell Optimization
• [eess.SY]Adaptive Feedforward Control For Reset Feedback Control Systems — Application in Precision Motion Control
• [eess.SY]Guaranteeing Safety of Learned Perception Modules via Measurement-Robust Control Barrier Functions
• [eess.SY]Reset band for mitigatation of quantization induced performance degradation
• [hep-lat]Toward Lattice QCD On Billion Core Approximate Computers
• [math.CO]Diagonal groups and arcs over groups
• [math.CO]Three Combinatorial Perspectives on Minimal Codes
• [math.ST]A non-asymptotic version of Cressie’s refined continuity correction for the binomial distribution
• [math.ST]All Block Maxima method for estimating the extreme value index
• [math.ST]Denoising and Interior Detection Problems
• [math.ST]Efficient constrained sampling via the mirror-Langevin algorithm
• [math.ST]Fisher-Rao distance on the covariance cone
• [math.ST]Parametric bootstrap inference for stratified models with high-dimensional nuisance specifications
• [physics.soc-ph]Disparities in ridesourcing demand for mobility resilience: A multilevel analysis of neighborhood effects in Chicago, Illinois
• [q-bio.BM]PersGNN: Applying Topological Data Analysis and Geometric Deep Learning to Structure-Based Protein Function Prediction
• [stat.AP]The Hot Hand and Its Effect on the NBA
• [stat.ME]Analyzing differences between restricted mean survival time curves using pseudo-values
• [stat.ME]Bias-Corrected Crosswise Estimators for Sensitive Inquiries
• [stat.ME]Classification Accuracy and Parameter Estimation in Multilevel Contexts: A Study of Conditional Nonparametric Multilevel Latent Class Analysis
• [stat.ME]Evaluation of approaches for accommodating interactions and non-linear terms in multiple imputation of incomplete three-level data
• [stat.ME]Manufacturing Process Optimization using Statistical Methodologies
• [stat.ME]Modern strategies for time series regression
• [stat.ML]Marginalised Gaussian Processes with Nested Sampling
• [stat.ML]Sharp threshold for alignment of graph databases with Gaussian weights
• [stat.ML]View selection in multi-view stacking: Choosing the meta-learner
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• [astro-ph.IM]Lessons Learned from the 1st ARIEL Machine Learning Challenge: Correcting Transiting Exoplanet Light Curves for Stellar Spots
Nikolaos Nikolaou, Ingo P. Waldmann, Angelos Tsiaras, Mario Morvan, Billy Edwards, Kai Hou Yip, Giovanna Tinetti, Subhajit Sarkar, James M. Dawson, Vadim Borisov, Gjergji Kasneci, Matej Petkovic, Tomaz Stepisnik, Tarek Al-Ubaidi, Rachel Louise Bailey, Michael Granitzer, Sahib Julka, Roman Kern, Patrick Ofner, Stefan Wagner, Lukas Heppe, Mirko Bunse, Katharina Morik
http://arxiv.org/abs/2010.15996v1
• [cs.AI]Interleaving Fast and Slow Decision Making
Aditya Gulati, Sarthak Soni, Shrisha Rao
http://arxiv.org/abs/2010.16244v1
• [cs.AI]Thinking About Causation: A Causal Language with Epistemic Operators
Fausto Barbero, Katrin Schulz, Sonja Smets, Fernando R. Velázquez-Quesada, Kaibo Xie
http://arxiv.org/abs/2010.16217v1
• [cs.CL]“Thy algorithm shalt not bear false witness”: An Evaluation of Multiclass Debiasing Methods on Word Embeddings
Thalea Schlender, Gerasimos Spanakis
http://arxiv.org/abs/2010.16228v1
• [cs.CL]A Critical Assessment of State-of-the-Art in Entity Alignment
Max Berrendorf, Ludwig Wacker, Evgeniy Faerman
http://arxiv.org/abs/2010.16314v1
• [cs.CL]A Cross-lingual Natural Language Processing Framework for Infodemic Management
Ridam Pal, Rohan Pandey, Vaibhav Gautam, Kanav Bhagat, Tavpritesh Sethi
http://arxiv.org/abs/2010.16357v1
• [cs.CL]Biomedical Concept Relatedness — A large EHR-based benchmark
Claudia Schulz, Josh Levy-Kramer, Camille Van Assel, Miklos Kepes, Nils Hammerla
http://arxiv.org/abs/2010.16218v1
• [cs.CL]Cross-Domain Sentiment Classification With Contrastive Learning and Mutual Information Maximization
Tian Li, Xiang Chen, Shanghang Zhang, Zhen Dong, Kurt Keutzer
http://arxiv.org/abs/2010.16088v1
• [cs.CL]Domain-Specific Lexical Grounding in Noisy Visual-Textual Documents
Gregory Yauney, Jack Hessel, David Mimno
http://arxiv.org/abs/2010.16363v1
• [cs.CL]How Many Pages? Paper Length Prediction from the Metadata
Erion Çano, Ondřej Bojar
http://arxiv.org/abs/2010.15924v1
• [cs.CL]HyperText: Endowing FastText with Hyperbolic Geometry
Yudong Zhu, Di Zhou, Jinghui Xiao, Xin Jiang, Xiao Chen, Qun Liu
http://arxiv.org/abs/2010.16143v1
• [cs.CL]Logic-guided Semantic Representation Learning for Zero-Shot Relation Classification
Juan Li, Ruoxu Wang, Ningyu Zhang, Wen Zhang, Fan Yang, Huajun Chen
http://arxiv.org/abs/2010.16068v1
• [cs.CL]Phoneme Based Neural Transducer for Large Vocabulary Speech Recognition
Wei Zhou, Simon Berger, Ralf Schlüter, Hermann Ney
http://arxiv.org/abs/2010.16368v1
• [cs.CL]RuREBus: a Case Study of Joint Named Entity Recognition and Relation Extraction from e-Government Domain
Vitaly Ivanin, Ekaterina Artemova, Tatiana Batura, Vladimir Ivanov, Veronika Sarkisyan, Elena Tutubalina, Ivan Smurov
http://arxiv.org/abs/2010.15939v1
• [cs.CL]SLM: Learning a Discourse Language Representation with Sentence Unshuffling
Haejun Lee, Drew A. Hudson, Kangwook Lee, Christopher D. Manning
http://arxiv.org/abs/2010.16249v1
• [cs.CL]Target Word Masking for Location Metonymy Resolution
Haonan Li, Maria Vasardani, Martin Tomko, Timothy Baldwin
http://arxiv.org/abs/2010.16097v1
• [cs.CL]Topic-Preserving Synthetic News Generation: An Adversarial Deep Reinforcement Learning Approach
Ahmadreza Mosallanezhad, Kai Shu, Huan Liu
http://arxiv.org/abs/2010.16324v1
• [cs.CL]Towards Accurate and Consistent Evaluation: A Dataset for Distantly-Supervised Relation Extraction
Tong Zhu, Haitao Wang, Junjie Yu, Xiabing Zhou, Wenliang Chen, Wei Zhang, Min Zhang
http://arxiv.org/abs/2010.16275v1
• [cs.CR]Being Single Has Benefits. Instance Poisoning to Deceive Malware Classifiers
Tzvika Shapira, David Berend, Ishai Rosenberg, Yang Liu, Asaf Shabtai, Yuval Elovici
http://arxiv.org/abs/2010.16323v1
• [cs.CR]Capture the Bot: Using Adversarial Examples to Improve CAPTCHA Robustness to Bot Attacks
Dorjan Hitaj, Briland Hitaj, Sushil Jajodia, Luigi V. Mancini
http://arxiv.org/abs/2010.16204v1
• [cs.CR]Classifying Malware Images with Convolutional Neural Network Models
Ahmed Bensaoud, Nawaf Abudawaood, Jugal Kalita
http://arxiv.org/abs/2010.16108v1
• [cs.CR]Detecting FDI Attack on Dense IoT Network with Distributed Filtering Collaboration and Consensus
Carlos Pedroso, Aldri Santos, Michele Nogueira
http://arxiv.org/abs/2010.15862v1
• [cs.CR]Machine Learning (In) Security: A Stream of Problems
Fabrício Ceschin, Heitor Murilo Gomes, Marcus Botacin, Albert Bifet, Bernhard Pfahringer, Luiz S. Oliveira, André Grégio
http://arxiv.org/abs/2010.16045v1
• [cs.CR]State sharding model on the blockchain
Xiangyu Wang, Ting Yang, Yu Wang
http://arxiv.org/abs/2010.16034v1
• [cs.CV]3D Object Recognition By Corresponding and Quantizing Neural 3D Scene Representations
Mihir Prabhudesai, Shamit Lal, Hsiao-Yu Fish Tung, Adam W. Harley, Shubhankar Potdar, Katerina Fragkiadaki
http://arxiv.org/abs/2010.16279v1
• [cs.CV]All-Weather Object Recognition Using Radar and Infrared Sensing
Marcel Sheeny
http://arxiv.org/abs/2010.16285v1
• [cs.CV]An Unsupervised Approach towards Varying Human Skin Tone Using Generative Adversarial Networks
Debapriya Roy, Diganta Mukherjee, Bhabatosh Chanda
http://arxiv.org/abs/2010.16092v1
• [cs.CV]Auto-Panoptic: Cooperative Multi-Component Architecture Search for Panoptic Segmentation
Yangxin Wu, Gengwei Zhang, Hang Xu, Xiaodan Liang, Liang Lin
http://arxiv.org/abs/2010.16119v1
• [cs.CV]Automatic Counting and Identification of Train Wagons Based on Computer Vision and Deep Learning
Rayson Laroca, Alessander Cidral Boslooper, David Menotti
http://arxiv.org/abs/2010.16307v1
• [cs.CV]Correspondence Matrices are Underrated
Tejas Zodage, Rahul Chakwate, Vinit Sarode, Rangaprasad Arun Srivatsan, Howie Choset
http://arxiv.org/abs/2010.16085v1
• [cs.CV]Emotion Understanding in Videos Through Body, Context, and Visual-Semantic Embedding Loss
Panagiotis Paraskevas Filntisis, Niki Efthymiou, Gerasimos Potamianos, Petros Maragos
http://arxiv.org/abs/2010.16396v1
• [cs.CV]End-to-end Animal Image Matting
Jizhizi Li, Jing Zhang, Stephen J. Maybank, Dacheng Tao
http://arxiv.org/abs/2010.16188v1
• [cs.CV]Experimental design for MRI by greedy policy search
Tim Bakker, Herke van Hoof, Max Welling
http://arxiv.org/abs/2010.16262v1
• [cs.CV]Exploring Dynamic Context for Multi-path Trajectory Prediction
Hao Cheng, Wentong Liao, Xuejiao Tang, Michael Ying Yang, Monika Sester, Bodo Rosenhahn
http://arxiv.org/abs/2010.16267v1
• [cs.CV]HOI Analysis: Integrating and Decomposing Human-Object Interaction
Yong-Lu Li, Xinpeng Liu, Xiaoqian Wu, Yizhuo Li, Cewu Lu
http://arxiv.org/abs/2010.16219v1
• [cs.CV]LIFI: Towards Linguistically Informed Frame Interpolation
Aradhya Neeraj Mathur, Devansh Batra, Yaman Kumar, Rajiv Ratn Shah, Roger Zimmermann, Amanda Stent
http://arxiv.org/abs/2010.16078v1
• [cs.CV]MichiGAN: Multi-Input-Conditioned Hair Image Generation for Portrait Editing
Zhentao Tan, Menglei Chai, Dongdong Chen, Jing Liao, Qi Chu, Lu Yuan, Sergey Tulyakov, Nenghai Yu
http://arxiv.org/abs/2010.16417v1
• [cs.CV]PyraPose: Feature Pyramids for Fast and Accurate Object Pose Estimation under Domain Shift
Stefan Thalhammer, Markus Leitner, Timothy Patten, Markus Vincze
http://arxiv.org/abs/2010.16117v1
• [cs.CV]SMOT: Single-Shot Multi Object Tracking
Wei Li, Yuanjun Xiong, Shuo Yang, Siqi Deng, Wei Xia
http://arxiv.org/abs/2010.16031v1
• [cs.CV]Small Noisy and Perspective Face Detection using Deformable Symmetric Gabor Wavelet Network
Sherzod Salokhiddinov, Seungkyu Lee
http://arxiv.org/abs/2010.16164v1
• [cs.CV]Statistical Analysis of Signal-Dependent Noise: Application in Blind Localization of Image Splicing Forgery
Mian Zou, Heng Yao, Chuang Qin, Xinpeng Zhang
http://arxiv.org/abs/2010.16211v1
• [cs.CV]Unsupervised Monocular Depth Learning in Dynamic Scenes
Hanhan Li, Ariel Gordon, Hang Zhao, Vincent Casser, Anelia Angelova
http://arxiv.org/abs/2010.16404v1
• [cs.CV]What’s in a Loss Function for Image Classification?
Simon Kornblith, Honglak Lee, Ting Chen, Mohammad Norouzi
http://arxiv.org/abs/2010.16402v1
• [cs.CY]A novel configurable agent-based simulation model for reducing patient’s waiting time in any oncology department
R. R. Corsini, A. Costa, S. Fichera, A. Pluchino
http://arxiv.org/abs/2010.15922v1
• [cs.CY]COVI-AgentSim: an Agent-based Model for Evaluating Methods of Digital Contact Tracing
Prateek Gupta, Tegan Maharaj, Martin Weiss, Nasim Rahaman, Hannah Alsdurf, Abhinav Sharma, Nanor Minoyan, Soren Harnois-Leblanc, Victor Schmidt, Pierre-Luc St. Charles, Tristan Deleu, Andrew Williams, Akshay Patel, Meng Qu, Olexa Bilaniuk, Gaétan Marceau Caron, Pierre Luc Carrier, Satya Ortiz-Gagné, Marc-Andre Rousseau, David Buckeridge, Joumana Ghosn, Yang Zhang, Bernhard Schölkopf, Jian Tang, Irina Rish, Christopher Pal, Joanna Merckx, Eilif B. Muller, Yoshua Bengio
http://arxiv.org/abs/2010.16004v1
• [cs.CY]Ethical Decision Making During Automated Vehicle Crashes
Noah Goodall
http://arxiv.org/abs/2010.16309v1
• [cs.DC]Multi-Core Processor Scheduling with Respect to Data Bus Bandwidth
Anton V. Eremeev, Anton A. Malakhov, Maxim A. Sakhno, Maria Y. Sosnovskaya
http://arxiv.org/abs/2010.16058v1
• [cs.DC]To Push or To Pull: On Reducing Communication and Synchronization in Graph Computations
Maciej Besta, Michal Podstawski, Linus Groner, Edgar Solomonik, Torsten Hoefler
http://arxiv.org/abs/2010.16012v1
• [cs.DS]A more Pragmatic Implementation of the Lock-free, Ordered, Linked List
Jesper Larsson Träff, Manuel Pöter
http://arxiv.org/abs/2010.15755v2
• [cs.DS]Log(Graph): A Near-Optimal High-Performance Graph Representation
Maciej Besta, Dimitri Stanojevic, Tijana Zivic, Jagpreet Singh, Maurice Hoerold, Torsten Hoefler
http://arxiv.org/abs/2010.15879v1
• [cs.IR]A Model of Two Tales: Dual Transfer Learning Framework for Improved Long-tail Item Recommendation
Yin Zhang, Derek Zhiyuan Cheng, Tiansheng Yao, Xinyang Yi, Lichan Hong, Ed H. Chi
http://arxiv.org/abs/2010.15982v1
• [cs.IR]Embedding Meta-Textual Information for Improved Learning to Rank
Toshitaka Kuwa, Shigehiko Schamoni, Stefan Riezler
http://arxiv.org/abs/2010.16313v1
• [cs.IR]Multimodal Metric Learning for Tag-based Music Retrieval
Minz Won, Sergio Oramas, Oriol Nieto, Fabien Gouyon, Xavier Serra
http://arxiv.org/abs/2010.16030v1
• [cs.IT]An Efficient QAM Detection via Nonlinear Post-distortion for SC-FDE Transmission under PA Impairments with Memory
Murat Babek Salman, Gokhan Muzaffer Guvensen
http://arxiv.org/abs/2010.15940v1
• [cs.IT]FPGA Implementation of Stair Matrix based Massive MIMO Detection
Shahriar Shahabuddin, Mahmoud A. Albreem, Mohammad Shahanewaz Shahabuddin, Zaheer Khan, Markku Juntti
http://arxiv.org/abs/2010.15964v1
• [cs.IT]Feedback Insertion-Deletion Codes
Georg Maringer, Nikita Polyanskii, Ilya Vorobyev, Lorenz Welter
http://arxiv.org/abs/2010.15928v1
• [cs.IT]How Does Performance Scale with Antenna Number for Extremely Large-Scale MIMO?
Haiquan Lu, Yong Zeng
http://arxiv.org/abs/2010.16232v1
• [cs.IT]Polar Coded Repetition for Low-Capacity Channels
Fariba Abbasi, Hessam Mahdavifar, Emanuele Viterbo
http://arxiv.org/abs/2010.16144v1
• [cs.IT]Two-stage coding over the Z-channel
Alexey Lebedev, Vladimir Lebedev, Nikita Polyanskii
http://arxiv.org/abs/2010.16362v1
• [cs.LG]A Greedy Algorithm for Quantizing Neural Networks
Eric Lybrand, Rayan Saab
http://arxiv.org/abs/2010.15979v1
• [cs.LG]AgEBO-Tabular: Joint Neural Architecture and Hyperparameter Search with Autotuned Data-Parallel Training for Tabular Data
Romain Egele, Prasanna Balaprakash, Venkatram Vishwanath, Isabelle Guyon, Zhengying Liu
http://arxiv.org/abs/2010.16358v1
• [cs.LG]All of the Fairness for Edge Prediction with Optimal Transport
Charlotte Laclau, Ievgen Redko, Manvi Choudhary, Christine Largeron
http://arxiv.org/abs/2010.16326v1
• [cs.LG]Calibration-Aided Edge Inference Offloading via Adaptive Model Partitioning of Deep Neural Networks
Roberto G. Pacheco, Rodrigo S. Couto, Osvaldo Simeone
http://arxiv.org/abs/2010.16335v1
• [cs.LG]Centralized active tracking of a Markov chain with unknown dynamics
Mrigank Raman, Ojal Kumar, Arpan Chattopadhyay
http://arxiv.org/abs/2010.16095v1
• [cs.LG]Deep Active Graph Representation Learning
Yanqiao Zhu, Weizhi Xu, Feng Yu, Qiang Liu, Shu Wu, Liang Wang
http://arxiv.org/abs/2010.16091v1
• [cs.LG]Deep Hurdle Networks for Zero-Inflated Multi-Target Regression: Application to Multiple Species Abundance Estimation
Shufeng Kong, Junwen Bai, Jae Hee Lee, Di Chen, Andrew Allyn, Michelle Stuart, Malin Pinsky, Katherine Mills, Carla P. Gomes
http://arxiv.org/abs/2010.16040v1
• [cs.LG]Deep generative LDA
Yunqi Cai, Dong Wang
http://arxiv.org/abs/2010.16138v1
• [cs.LG]Empirical or Invariant Risk Minimization? A Sample Complexity Perspective
Kartik Ahuja, Jun Wang, Amit Dhurandhar, Karthikeyan Shanmugam, Kush R. Varshney
http://arxiv.org/abs/2010.16412v1
• [cs.LG]Goal directed molecule generation using Monte Carlo Tree Search
Anand A. Rajasekar, Karthik Raman, Balaraman Ravindran
http://arxiv.org/abs/2010.16399v1
• [cs.LG]Handling Missing Data with Graph Representation Learning
Jiaxuan You, Xiaobai Ma, Daisy Yi Ding, Mykel Kochenderfer, Jure Leskovec
http://arxiv.org/abs/2010.16418v1
• [cs.LG]Health improvement framework for planning actionable treatment process using surrogate Bayesian model
Kazuki Nakamura, Ryosuke Kojima, Eiichiro Uchino, Koichi Murashita, Ken Itoh, Shigeyuki Nakaji, Yasushi Okuno
http://arxiv.org/abs/2010.16087v1
• [cs.LG]Information-theoretic Feature Selection via Tensor Decomposition and Submodularity
Magda Amiridi, Nikos Kargas, Nicholas D. Sidiropoulos
http://arxiv.org/abs/2010.16181v1
• [cs.LG]Inherent Trade-offs in the Fair Allocation of Treatments
Yuzi He, Keith Burghardt, Siyi Guo, Kristina Lerman
http://arxiv.org/abs/2010.16409v1
• [cs.LG]Leveraging Extracted Model Adversaries for Improved Black Box Attacks
Naveen Jafer Nizar, Ari Kobren
http://arxiv.org/abs/2010.16336v1
• [cs.LG]Multiplicative Updates for NMF with $β$-Divergences under Disjoint Equality Constraints
Valentin Leplat, Nicolas Gillis, Jérôme Idier
http://arxiv.org/abs/2010.16223v1
• [cs.LG]Multiscale Fractal Analysis of Stimulated EEG Signals with Application to Emotion Classification
Kleanthis Avramidis, Athanasia Zlatintsi, Christos Garoufis, Petros Maragos
http://arxiv.org/abs/2010.16310v1
• [cs.LG]Multiview Variational Graph Autoencoders for Canonical Correlation Analysis
Yacouba Kaloga, Pierre Borgnat, Sundeep Prabhakar Chepuri, Patrice Abry, Amaury Habrard
http://arxiv.org/abs/2010.16132v1
• [cs.LG]On the Impact of Communities on Semi-supervised Classification Using Graph Neural Networks
Hussain Hussain, Tomislav Duricic, Elisabeth Lex, Roman Kern, Denis Helic
http://arxiv.org/abs/2010.16245v1
• [cs.LG]POMO: Policy Optimization with Multiple Optima for Reinforcement Learning
Yeong-Dae Kwon, Jinho Choo, Byoungjip Kim, Iljoo Yoon, Seungjai Min, Youngjune Gwon
http://arxiv.org/abs/2010.16011v1
• [cs.LG]Revisiting Graph Neural Networks for Link Prediction
Muhan Zhang, Pan Li, Yinglong Xia, Kai Wang, Long Jin
http://arxiv.org/abs/2010.16103v1
• [cs.LG]Semantic Labeling Using a Deep Contextualized Language Model
Mohamed Trabelsi, Jin Cao, Jeff Heflin
http://arxiv.org/abs/2010.16037v1
• [cs.LG]Targeting for long-term outcomes
Jeremy Yang, Dean Eckles, Paramveer Dhillon, Sinan Aral
http://arxiv.org/abs/2010.15835v1
• [cs.LG]The Combinatorial Multi-Bandit Problem and its Application to Energy Management
Tobias Jacobs, Mischa Schmidt, Sébastien Nicolas, Anett Schülke
http://arxiv.org/abs/2010.16269v1
• [cs.LG]Training Speech Recognition Models with Federated Learning: A Quality/Cost Framework
Dhruv Guliani, Francoise Beaufays, Giovanni Motta
http://arxiv.org/abs/2010.15965v1
• [cs.LG]Unsupervised Embedding of Hierarchical Structure in Euclidean Space
Jinyu Zhao, Yi Hao, Cyrus Rashtchian
http://arxiv.org/abs/2010.16055v1
• [cs.LG]Unsupervised One-shot Learning of Both Specific Instances and Generalised Classes with a Hippocampal Architecture
Gideon Kowadlo, Abdelrahman Ahmed, David Rawlinson
http://arxiv.org/abs/2010.15999v1
• [cs.NE]Fusion-Catalyzed Pruning for Optimizing Deep Learning on Intelligent Edge Devices
Guangli Li, Xiu Ma, Xueying Wang, Lei Liu, Jingling Xue, Xiaobing Feng
http://arxiv.org/abs/2010.16165v1
• [cs.NI]Unsatisfied Today, Satisfied Tomorrow: a simulation framework for performance evaluation of crowdsourcing-based network monitoring
Andrea Pimpinella, Marianna Repossi, Alessandro Enrico Cesare Redondi
http://arxiv.org/abs/2010.16162v1
• [cs.RO]Bayes-Adaptive Deep Model-Based Policy Optimisation
Tai Hoang, Vien Ngo
http://arxiv.org/abs/2010.15948v1
• [cs.RO]Bayesian Optimization Meets Laplace Approximation for Robotic Introspection
Matthias Humt, Jongseok Lee, Rudolph Triebel
http://arxiv.org/abs/2010.16141v1
• [cs.RO]DeepWay: a Deep Learning Estimator for Unmanned Ground Vehicle Global Path Planning
Vittorio Mazzia, Francesco Salvetti, Diego Aghi, Marcello Chiaberge
http://arxiv.org/abs/2010.16322v1
• [cs.RO]Learning Vision-based Reactive Policies for Obstacle Avoidance
Elie Aljalbout, Ji Chen, Konstantin Ritt, Maximilian Ulmer, Sami Haddadin
http://arxiv.org/abs/2010.16298v1
• [cs.RO]MAPS-X: Explainable Multi-Robot Motion Planning via Segmentation
Justin Kottinger, Shaull Almagor, Morteza Lahijanian
http://arxiv.org/abs/2010.16106v1
• [cs.RO]Optimization Algorithm-Based Approach for Modelling Large Deflection of Cantilever Beam Subjected to Tip Load
Fei Gao, Gaoyu Liu, Wei-Hsin Liao
http://arxiv.org/abs/2010.16185v1
• [cs.RO]PATHoBot: A Robot for Glasshouse Crop Phenotyping and Intervention
Claus Smitt, Michael Halstead, Tobias Zaenker, Maren Bennewitz, Chris McCool
http://arxiv.org/abs/2010.16272v1
• [cs.RO]Robust Quadrupedal Locomotion on Sloped Terrains: A Linear Policy Approach
Kartik Paigwar, Lokesh Krishna, Sashank Tirumala, Naman Khetan, Aditya Sagi, Ashish Joglekar, Shalabh Bhatnagar, Ashitava Ghosal, Bharadwaj Amrutur, Shishir Kolathaya
http://arxiv.org/abs/2010.16342v1
• [cs.RO]Towards Preference Learning for Autonomous Ground Robot Navigation Tasks
C. Hayes, M. Marge
http://arxiv.org/abs/2010.16361v1
• [cs.RO]Virtual Surfaces and Attitude Aware Planning and Behaviours for Negative Obstacle Navigation
Thomas Hines, Kazys Stepanas, Fletcher Talbot, Inkyu Sa, Jake Lewis, Emili Hernandez, Navinda Kottege, Nicolas Hudson
http://arxiv.org/abs/2010.16018v1
• [cs.SD]Deep Speaker Vector Normalization with Maximum Gaussianality Training
Yunqi Cai, Lantian Li, Dong Wang, Andrew Abel
http://arxiv.org/abs/2010.16148v1
• [cs.SI]Prediction of USA November 2020 Election Results Using Multifactor Twitter Data Analysis Method
Ibrahim Sabuncu, Mehmet Ali Balci, Omer Akguller
http://arxiv.org/abs/2010.15938v1
• [cs.SI]netrd: A library for network reconstruction and graph distances
Stefan McCabe, Leo Torres, Timothy LaRock, Syed Arefinul Haque, Chia-Hung Yang, Harrison Hartle, Brennan Klein
http://arxiv.org/abs/2010.16019v1
• [econ.GN]Preventing COVID-19 Fatalities: State versus Federal Policies
Jean-Paul Renne, Guillaume Roussellet, Gustavo Schwenkler
http://arxiv.org/abs/2010.15263v2
• [eess.AS]Comparison of Speaker Role Recognition and Speaker Enrollment Protocol for conversational Clinical Interviews
Rachid Riad, Hadrien Titeux, Laurie Lemoine, Justine Montillot, Agnes Sliwinski, Jennifer Hamet Bagnou, Xuan Nga Cao, Emmanuel Dupoux, Anne-Catherine Bachoud-Lévi
http://arxiv.org/abs/2010.16131v1
• [eess.IV]Automatic Myocardial Infarction Evaluation from Delayed-Enhancement Cardiac MRI using Deep Convolutional Networks
Kibrom Berihu Girum, Youssef Skandarani, Raabid Hussain, Alexis Bozorg Grayeli, Gilles Créhange, Alain Lalande
http://arxiv.org/abs/2010.16198v1
• [eess.IV]COVID-FACT: A Fully-Automated Capsule Network-based Framework for Identification of COVID-19 Cases from Chest CT scans
Shahin Heidarian, Parnian Afshar, Nastaran Enshaei, Farnoosh Naderkhani, Anastasia Oikonomou, S. Farokh Atashzar, Faranak Babaki Fard, Kaveh Samimi, Konstantinos N. Plataniotis, Arash Mohammadi, Moezedin Javad Rafiee
http://arxiv.org/abs/2010.16041v1
• [eess.IV]CT-CAPS: Feature Extraction-based Automated Framework for COVID-19 Disease Identification from Chest CT Scans using Capsule Networks
Shahin Heidarian, Parnian Afshar, Arash Mohammadi, Moezedin Javad Rafiee, Anastasia Oikonomou, Konstantinos N. Plataniotis, Farnoosh Naderkhani
http://arxiv.org/abs/2010.16043v1
• [eess.IV]Development and Evaluation of a Deep Neural Network for Histologic Classification of Renal Cell Carcinoma on Biopsy and Surgical Resection Slides
Mengdan Zhu, Bing Ren, Ryland Richards, Matthew Suriawinata, Naofumi Tomita, Saeed Hassanpour
http://arxiv.org/abs/2010.16380v1
• [eess.IV]FLANNEL: Focal Loss Based Neural Network Ensemble for COVID-19 Detection
Zhi Qiao, Austin Bae, Lucas M. Glass, Cao Xiao, Jimeng Sun
http://arxiv.org/abs/2010.16039v1
• [eess.SP]DeepRx MIMO: Convolutional MIMO Detection with Learned Multiplicative Transformations
Dani Korpi, Mikko Honkala, Janne M. J. Huttunen, Vesa Starck
http://arxiv.org/abs/2010.16283v1
• [eess.SP]Interference Reduction in Virtual Cell Optimization
Michal Yemini, Elza Erkip, Andrea J. Goldsmith
http://arxiv.org/abs/2010.16100v1
• [eess.SY]Adaptive Feedforward Control For Reset Feedback Control Systems — Application in Precision Motion Control
Karst Brummelhuis, Niranjan Saikumar, Jan-Willem van Wingerden, S. Hassan HosseinNia
http://arxiv.org/abs/2010.16189v1
• [eess.SY]Guaranteeing Safety of Learned Perception Modules via Measurement-Robust Control Barrier Functions
Sarah Dean, Andrew J. Taylor, Ryan K. Cosner, Benjamin Recht, Aaron D. Ames
http://arxiv.org/abs/2010.16001v1
• [eess.SY]Reset band for mitigatation of quantization induced performance degradation
Bas Kieft, S. Hassan HosseinNia, Niranjan Saikumar
http://arxiv.org/abs/2010.16191v1
• [hep-lat]Toward Lattice QCD On Billion Core Approximate Computers
Alexandra Bates, Joseph Bates
http://arxiv.org/abs/2010.15973v1
• [math.CO]Diagonal groups and arcs over groups
R. A. Bailey, Peter J. Cameron, Michael Kinyon, Cheryl E. Praeger
http://arxiv.org/abs/2010.16338v1
• [math.CO]Three Combinatorial Perspectives on Minimal Codes
Gianira N. Alfarano, Martino Borello, Alessandro Neri, Alberto Ravagnani
http://arxiv.org/abs/2010.16339v1
• [math.ST]A non-asymptotic version of Cressie’s refined continuity correction for the binomial distribution
Frédéric Ouimet
http://arxiv.org/abs/2010.15917v1
• [math.ST]All Block Maxima method for estimating the extreme value index
Jochem Oorschot, Chen Zhou
http://arxiv.org/abs/2010.15950v1
• [math.ST]Denoising and Interior Detection Problems
Nuno Picado, Paulo Eduardo Oliveira
http://arxiv.org/abs/2010.16360v1
• [math.ST]Efficient constrained sampling via the mirror-Langevin algorithm
Kwangjun Ahn, Sinho Chewi
http://arxiv.org/abs/2010.16212v1
• [math.ST]Fisher-Rao distance on the covariance cone
Joseph Wells, Mary Cook, Karleigh Pine, Benjamin D. Robinson
http://arxiv.org/abs/2010.15861v1
• [math.ST]Parametric bootstrap inference for stratified models with high-dimensional nuisance specifications
Ruggero Bellio, Ioannis Kosmidis, Alessandra Salvan, Nicola Sartori
http://arxiv.org/abs/2010.16186v1
• [physics.soc-ph]Disparities in ridesourcing demand for mobility resilience: A multilevel analysis of neighborhood effects in Chicago, Illinois
Elisa Borowski, Jason Soria, Joseph Schofer, Amanda Stathopoulos
http://arxiv.org/abs/2010.15889v1
• [q-bio.BM]PersGNN: Applying Topological Data Analysis and Geometric Deep Learning to Structure-Based Protein Function Prediction
Nicolas Swenson, Aditi S. Krishnapriyan, Aydin Buluc, Dmitriy Morozov, Katherine Yelick
http://arxiv.org/abs/2010.16027v1
• [stat.AP]The Hot Hand and Its Effect on the NBA
Brian McNair, Eric Margolin, Michael Law, Ya’acov Ritov
http://arxiv.org/abs/2010.15943v1
• [stat.ME]Analyzing differences between restricted mean survival time curves using pseudo-values
Federico Ambrogi, Simona Iacobelli, Per Kragh Andersen
http://arxiv.org/abs/2010.16229v1
• [stat.ME]Bias-Corrected Crosswise Estimators for Sensitive Inquiries
Yuki Atsusaka, Randolph T. Stevenson
http://arxiv.org/abs/2010.16129v1
• [stat.ME]Classification Accuracy and Parameter Estimation in Multilevel Contexts: A Study of Conditional Nonparametric Multilevel Latent Class Analysis
Chi Chang, Kimberly Kelly, M. Lee Van Horn, Richard T. Houang, Joseph Gardiner, Laurie Van Egeren, Heng-Chieh Wu
http://arxiv.org/abs/2010.15368v2
• [stat.ME]Evaluation of approaches for accommodating interactions and non-linear terms in multiple imputation of incomplete three-level data
Rushani Wijesuriya, Margarita Moreno-Betancur, John B. Carlin, Anurika P. De Silva, Katherine J. Lee
http://arxiv.org/abs/2010.16025v1
• [stat.ME]Manufacturing Process Optimization using Statistical Methodologies
Karthik Srinivasan, Amit Kumar, Parameshwaran Iyer, Abhinav Joshi
http://arxiv.org/abs/2010.15972v1
• [stat.ME]Modern strategies for time series regression
Stephanie Clark, Rob J Hyndman, Dan Pagendam, Louise M Ryan
http://arxiv.org/abs/2010.15997v1
• [stat.ML]Marginalised Gaussian Processes with Nested Sampling
Fergus Simpson, Vidhi Lalchand, Carl Edward Rasmussen
http://arxiv.org/abs/2010.16344v1
• [stat.ML]Sharp threshold for alignment of graph databases with Gaussian weights
Luca Ganassali
http://arxiv.org/abs/2010.16295v1
• [stat.ML]View selection in multi-view stacking: Choosing the meta-learner
Wouter van Loon, Marjolein Fokkema, Botond Szabo, Mark de Rooij
http://arxiv.org/abs/2010.16271v1