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