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.DL - 数字图书馆 cs.DS - 数据结构与算法 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.LO - 计算逻辑 cs.MA - 多代理系统 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.SI - 社交网络与信息网络 eess.IV - 图像与视频处理 eess.SP - 信号处理 eess.SY - 系统和控制 hep-ph - 高能物理现象学 math.NA - 数值分析 math.OC - 优化与控制 math.ST - 统计理论 physics.comp-ph - 计算物理学 physics.soc-ph - 物理学与社会 q-bio.NC - 神经元与认知 q-bio.QM - 定量方法 quant-ph - 量子物理 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [cs.AI]AAAI FSS-19: Human-Centered AI: Trustworthiness of AI Models and Data Proceedings
    • [cs.AI]Approximate Weighted First-Order Model Counting: Exploiting Fast Approximate Model Counters and Symmetry
    • [cs.AI]Domain-Liftability of Relational Marginal Polytopes
    • [cs.AI]Generative Adversarial Network Rooms in Generative Graph Grammar Dungeons for The Legend of Zelda
    • [cs.AI]Inducing Cooperation in Multi-Agent Games Through Status-Quo Loss
    • [cs.AI]Knowledge Representations in Technical Systems — A Taxonomy
    • [cs.AI]Monte Carlo Game Solver
    • [cs.AI]Offline Grid-Based Coverage path planning for guards in games
    • [cs.AI]Proceedings of the AAAI-20 Workshop on Intelligent Process Automation (IPA-20)
    • [cs.AI]Real Time Reasoning in OWL2 for GDPR Compliance
    • [cs.AI]SMT + ILP
    • [cs.CL]A BERT based Sentiment Analysis and Key Entity Detection Approach for Online Financial Texts
    • [cs.CL]A Continuous Space Neural Language Model for Bengali Language
    • [cs.CL]A Knowledge-Enhanced Pretraining Model for Commonsense Story Generation
    • [cs.CL]Authorship Attribution in Bangla literature using Character-level CNN
    • [cs.CL]AvgOut: A Simple Output-Probability Measure to Eliminate Dull Responses
    • [cs.CL]Detecting New Word Meanings: A Comparison of Word Embedding Models in Spanish
    • [cs.CL]Dialectal Layers in West Iranian: a Hierarchical Dirichlet Process Approach to Linguistic Relationships
    • [cs.CL]Embedding Compression with Isotropic Iterative Quantization
    • [cs.CL]Exploring and Improving Robustness of Multi Task Deep Neural Networks via Domain Agnostic Defenses
    • [cs.CL]FGN: Fusion Glyph Network for Chinese Named Entity Recognition
    • [cs.CL]Improving Spoken Language Understanding By Exploiting ASR N-best Hypotheses
    • [cs.CL]Parallel Machine Translation with Disentangled Context Transformer
    • [cs.CL]Robust Speaker Recognition Using Speech Enhancement And Attention Model
    • [cs.CL]Tensor Graph Convolutional Networks for Text Classification
    • [cs.CL]Urdu-English Machine Transliteration using Neural Networks
    • [cs.CR]An n/2 Byzantine node tolerate Blockchain Sharding approach
    • [cs.CR]Incentive Analysis of Bitcoin-NG, Revisited
    • [cs.CV]A Method for Estimating Reflectance map and Material using Deep Learning with Synthetic Dataset
    • [cs.CV]A Reference Architecture for Plausible Threat Image Projection (TIP) Within 3D X-ray Computed Tomography Volumes
    • [cs.CV]A Sample Selection Approach for Universal Domain Adaptation
    • [cs.CV]A smile I could recognise in a thousand: Automatic identification of identity from dental radiography
    • [cs.CV]Automated Anonymisation of Visual and Audio Data in Classroom Studies
    • [cs.CV]Correcting Decalibration of Stereo Cameras in Self-Driving Vehicles
    • [cs.CV]DeepFactors: Real-Time Probabilistic Dense Monocular SLAM
    • [cs.CV]EEV Dataset: Predicting Expressions Evoked by Diverse Videos
    • [cs.CV]Emerging Disentanglement in Auto-Encoder Based Unsupervised Image Content Transfer
    • [cs.CV]Everybody’s Talkin’: Let Me Talk as You Want
    • [cs.CV]Extending Class Activation Mapping Using Gaussian Receptive Field
    • [cs.CV]Indoor Layout Estimation by 2D LiDAR and Camera Fusion
    • [cs.CV]Learning multiview 3D point cloud registration
    • [cs.CV]Lightweight 3D Human Pose Estimation Network Training Using Teacher-Student Learning
    • [cs.CV]Morton Filters for Superior Template Protection for Iris Recognition
    • [cs.CV]Moving Objects Detection with a Moving Camera: A Comprehensive Review
    • [cs.CV]Pose-Assisted Multi-Camera Collaboration for Active Object Tracking
    • [cs.CV]Proposal Learning for Semi-Supervised Object Detection
    • [cs.CV]Recognizing Video Events with Varying Rhythms
    • [cs.CV]Single Image Dehazing Using Ranking Convolutional Neural Network
    • [cs.CV]Single Image Depth Estimation Trained via Depth from Defocus Cues
    • [cs.CV]Structured GANs
    • [cs.CV]The Synthinel-1 dataset: a collection of high resolution synthetic overhead imagery for building segmentation
    • [cs.CV]UnOVOST: Unsupervised Offline Video Object Segmentation and Tracking
    • [cs.CV]Uncertainty-Aware Multi-Shot Knowledge Distillation for Image-Based Object Re-Identification
    • [cs.CV]Unifying Deep Local and Global Features for Efficient Image Search
    • [cs.CV]Unifying Training and Inference for Panoptic Segmentation
    • [cs.CY]Robot Rights? Let’s Talk about Human Welfare Instead
    • [cs.CY]Social and Governance Implications of Improved Data Efficiency
    • [cs.DC]A novel countermeasure technique to protect WSN against denial-of-sleep attacks using firefly and Hopfield neural network (HNN) algorithms
    • [cs.DC]Optimized implementation of the conjugate gradient algorithm for FPGA-based platforms using the Dirac-Wilson operator as an example
    • [cs.DL]The Archives Unleashed Project: Technology, Process, and Community to Improve Scholarly Access to Web Archives
    • [cs.DS]Forming Compatible Teams in Signed Networks
    • [cs.HC]Auto Completion of User Interface Layout Design Using Transformer-Based Tree Decoders
    • [cs.HC]Relevance Prediction from Eye-movements Using Semi-interpretable Convolutional Neural Networks
    • [cs.HC]Scout: Rapid Exploration of Interface Layout Alternatives through High-Level Design Constraints
    • [cs.HC]Teddy: A System for Interactive Review Analysis
    • [cs.IR]DSR: A Collection for the Evaluation of Graded Disease-Symptom Relations
    • [cs.IR]Deep Learning for MIR Tutorial
    • [cs.IR]Modeling Product Search Relevance in e-Commerce
    • [cs.IT]Achievable DoF Regions of Three-User MIMO Broadcast Channel with Delayed CSIT
    • [cs.IT]CRC-Aided Belief Propagation List Decoding of Polar Codes
    • [cs.IT]Coded Data Rebalancing: Fundamental Limits and Constructions
    • [cs.IT]Entangled Polynomial Codes for Secure, Private, and Batch Distributed Matrix Multiplication: Breaking the ‘’Cubic’’ Barrier
    • [cs.IT]Fundamental Limits of Age-of-Information in Stationary and Non-stationary Environments
    • [cs.IT]Internet of Things-Enabled Overlay Satellite-Terrestrial Networks in the Presence of Interference
    • [cs.IT]Low Complexity Distributed Computing via Binary Matrices with Extension to Stragglers
    • [cs.IT]Model-Driven Beamforming Neural Networks
    • [cs.IT]Network Information Theoretic Security
    • [cs.IT]Non-Uniform Windowed Decoding For Multi-Dimensional Spatially-Coupled LDPC Codes
    • [cs.IT]Scaling Laws of Dense Multi-Antenna Cellular Networks
    • [cs.IT]Secrecy and Accessibility in Distributed Storage
    • [cs.LG]A Formal Approach to Explainability
    • [cs.LG]Assurance Monitoring of Cyber-Physical Systems with Machine Learning Components
    • [cs.LG]Autoencoders as Weight Initialization of Deep Classification Networks for Cancer versus Cancer Studies
    • [cs.LG]Causal Discovery from Incomplete Data: A Deep Learning Approach
    • [cs.LG]Continuous-action Reinforcement Learning for Playing Racing Games: Comparing SPG to PPO
    • [cs.LG]Deep Residual Flow for Novelty Detection
    • [cs.LG]Extreme Regression for Dynamic Search Advertising
    • [cs.LG]Graph-Bert: Only Attention is Needed for Learning Graph Representations
    • [cs.LG]Learning a Single Neuron with Gradient Methods
    • [cs.LG]Learning similarity measures from data
    • [cs.LG]Lipschitz Lifelong Reinforcement Learning
    • [cs.LG]On Iterative Neural Network Pruning, Reinitialization, and the Similarity of Masks
    • [cs.LG]PoPS: Policy Pruning and Shrinking for Deep Reinforcement Learning
    • [cs.LG]Right for the Wrong Scientific Reasons: Revising Deep Networks by Interacting with their Explanations
    • [cs.LG]Robotic Grasp Manipulation Using Evolutionary Computing and Deep Reinforcement Learning
    • [cs.LG]SEERL: Sample Efficient Ensemble Reinforcement Learning
    • [cs.LG]ShapeVis: High-dimensional Data Visualization at Scale
    • [cs.LG]The Gossiping Insert-Eliminate Algorithm for Multi-Agent Bandits
    • [cs.LG]Theoretical Interpretation of Learned Step Size in Deep-Unfolded Gradient Descent
    • [cs.LG]Two Cycle Learning: Clustering Based Regularisation for Deep Semi-Supervised Classification
    • [cs.LG]Understanding Generalization in Deep Learning via Tensor Methods
    • [cs.LG]Unsupervised Learning of the Set of Local Maxima
    • [cs.LG]Unsupervised Pool-Based Active Learning for Linear Regression
    • [cs.LO]A (Simplified) Supreme Being Necessarily Exists — Says the Computer!
    • [cs.MA]Sybil-Resilient Social Choice with Partial Participation
    • [cs.NE]Analysis of Genetic Algorithm on Bearings-Only Target Motion Analysis
    • [cs.NE]Neural Arithmetic Units
    • [cs.NE]Parameterized Complexity Analysis of Randomized Search Heuristics
    • [cs.NI]On the Power of Randomization for Scheduling Real-Time Traffic in Wireless Networks
    • [cs.RO]3D Object Segmentation for Shelf Bin Picking by Humanoid with Deep Learning and Occupancy Voxel Grid Map
    • [cs.RO]CIAO$^\star$: MPC-based Safe Motion Planning in Predictable Dynamic Environments
    • [cs.RO]DGCM-Net: Dense Geometrical Correspondence Matching Network for Incremental Experience-based Robotic Grasping
    • [cs.RO]Direct Visual-Inertial Ego-Motion Estimation via Iterated Extended Kalman Filter
    • [cs.SI]Detecting Mixing Services via Mining Bitcoin Transaction Network with Hybrid Motifs
    • [cs.SI]Evolution of Ethereum: A Temporal Graph Perspective
    • [cs.SI]How many bots are you following?
    • [cs.SI]NEW: A Generic Learning Model for Tie Strength Prediction in Networks
    • [cs.SI]Tubes & Bubbles — Topological confinement of YouTube recommendations
    • [cs.SI]Unbiased evaluation of ranking metrics reveals consistent performance in science and technology citation data
    • [cs.SI]What Contributes to a Crowdfunding Campaign’s Success? Evidence and Analyses from GoFundMe Data
    • [eess.IV]Deep learning based Driver Distraction and Drowsiness Detection
    • [eess.IV]Hippocampus Segmentation on Epilepsy and Alzheimer’s Disease Studies with Multiple Convolutional Neural Networks
    • [eess.IV]Methodologies for Successful Segmentation of HRTEM Images via Neural Network
    • [eess.IV]Microvascular Dynamics from 4D Microscopy Using Temporal Segmentation
    • [eess.IV]Towards Deep Unsupervised SAR Despeckling with Blind-Spot Convolutional Neural Networks
    • [eess.SP]Improved propagation models for lte path loss prediction in urban & suburban Ghana
    • [eess.SY]A Tree Adjoining Grammar Representation for Models Of Stochastic Dynamical Systems
    • [hep-ph]Anomaly Detection with Density Estimation
    • [hep-ph]Simulation Assisted Likelihood-free Anomaly Detection
    • [math.NA]Time evolution of the characteristic and probability density function of diffusion processes via neural networks
    • [math.OC]Total Deep Variation for Linear Inverse Problems
    • [math.ST]Detecting Changes in the Second Moment Structure of High-Dimensional Sensor-Type Data in a $K$-Sample Setting
    • [math.ST]Large sample autocovariance matrices of linear processes with heavy tails
    • [math.ST]Profile least squares estimators in the monotone single index model
    • [physics.comp-ph]i-flow: High-dimensional Integration and Sampling with Normalizing Flows
    • [physics.soc-ph]The wisdom of the few: Predicting collective success from individual behavior
    • [q-bio.NC]Spike Train Cumulants for Linear-Nonlinear Poisson Cascade Models
    • [q-bio.QM]OpenHI2 — Open source histopathological image platform
    • [quant-ph]Machine learning transfer efficiencies for noisy quantum walks
    • [stat.AP]Estimation of Climbing Route Difficulty using Whole-History Rating
    • [stat.AP]Spillover Effects in Experimental Data
    • [stat.ME]A linear noise approximation for stochastic epidemic models fit to partially observed incidence counts
    • [stat.ME]Generalized Bayesian Quantification Learning
    • [stat.ME]High-Dimensional Changepoint Detection via a Geometrically Inspired Mapping
    • [stat.ME]Model-based Clustering for Multivariate Networks
    • [stat.ME]Nonparametric tests of the causal null with non-discrete exposures
    • [stat.ME]Sparse Covariance Estimation in Logit Mixture Models
    • [stat.ME]Valid p-Values and Expectations of p-Values Revisited
    • [stat.ML]Automated extraction of mutual independence patterns using Bayesian comparison of partition models
    • [stat.ML]Bridging Convex and Nonconvex Optimization in Robust PCA: Noise, Outliers, and Missing Data
    • [stat.ML]Doubly Sparse Variational Gaussian Processes
    • [stat.ML]Invertible Generative Modeling using Linear Rational Splines
    • [stat.ML]Physics Informed Deep Learning for Transport in Porous Media. Buckley Leverett Problem
    • [stat.ML]Resolving learning rates adaptively by locating Stochastic Non-Negative Associated Gradient Projection Points using line searches
    • [stat.ML]Support recovery and sup-norm convergence rates for sparse pivotal estimation

    ·····································

    • [cs.AI]AAAI FSS-19: Human-Centered AI: Trustworthiness of AI Models and Data Proceedings
    Florian Buettner, John Piorkowski, Ian McCulloh, Ulli Waltinger
    http://arxiv.org/abs/2001.05375v1

    • [cs.AI]Approximate Weighted First-Order Model Counting: Exploiting Fast Approximate Model Counters and Symmetry
    Timothy van Bremen, Ondrej Kuzelka
    http://arxiv.org/abs/2001.05263v1

    • [cs.AI]Domain-Liftability of Relational Marginal Polytopes
    Ondrej Kuzelka, Yuyi Wang
    http://arxiv.org/abs/2001.05198v1

    • [cs.AI]Generative Adversarial Network Rooms in Generative Graph Grammar Dungeons for The Legend of Zelda
    Jake Gutierrez, Jacob Schrum
    http://arxiv.org/abs/2001.05065v1

    • [cs.AI]Inducing Cooperation in Multi-Agent Games Through Status-Quo Loss
    Pinkesh Badjatiya, Mausoom Sarkar, Abhishek Sinha, Siddharth Singh, Nikaash Puri, Balaji Krishnamurthy
    http://arxiv.org/abs/2001.05458v1

    • [cs.AI]Knowledge Representations in Technical Systems — A Taxonomy
    Kristina Scharei, Florian Heidecker, Maarten Bieshaar
    http://arxiv.org/abs/2001.04835v2

    • [cs.AI]Monte Carlo Game Solver
    Tristan Cazenave
    http://arxiv.org/abs/2001.05087v1

    • [cs.AI]Offline Grid-Based Coverage path planning for guards in games
    Wael Al Enezi, Clark Verbrugge
    http://arxiv.org/abs/2001.05462v1

    • [cs.AI]Proceedings of the AAAI-20 Workshop on Intelligent Process Automation (IPA-20)
    Dell Zhang, Andre Freitas, Dacheng Tao, Dawn Song
    http://arxiv.org/abs/2001.05214v1

    • [cs.AI]Real Time Reasoning in OWL2 for GDPR Compliance
    P. A. Bonatti, L. Ioffredo, I. Petrova, L. Sauro, I. R. Siahaan
    http://arxiv.org/abs/2001.05390v1

    • [cs.AI]SMT + ILP
    Vaishak Belle
    http://arxiv.org/abs/2001.05208v1

    • [cs.CL]A BERT based Sentiment Analysis and Key Entity Detection Approach for Online Financial Texts
    Lingyun Zhao, Lin Li, Xinhao Zheng
    http://arxiv.org/abs/2001.05326v1

    • [cs.CL]A Continuous Space Neural Language Model for Bengali Language
    Hemayet Ahmed Chowdhury, Md. Azizul Haque Imon, Anisur Rahman, Aisha Khatun, Md. Saiful Islam
    http://arxiv.org/abs/2001.05315v1

    • [cs.CL]A Knowledge-Enhanced Pretraining Model for Commonsense Story Generation
    Jian Guan, Fei Huang, Zhihao Zhao, Xiaoyan Zhu, Minlie Huang
    http://arxiv.org/abs/2001.05139v1

    • [cs.CL]Authorship Attribution in Bangla literature using Character-level CNN
    Aisha Khatun, Anisur Rahman, Md. Saiful Islam, Marium-E-Jannat
    http://arxiv.org/abs/2001.05316v1

    • [cs.CL]AvgOut: A Simple Output-Probability Measure to Eliminate Dull Responses
    Tong Niu, Mohit Bansal
    http://arxiv.org/abs/2001.05467v1

    • [cs.CL]Detecting New Word Meanings: A Comparison of Word Embedding Models in Spanish
    Andrés Torres-Rivera, Juan-Manuel Torres-Moreno
    http://arxiv.org/abs/2001.05285v1

    • [cs.CL]Dialectal Layers in West Iranian: a Hierarchical Dirichlet Process Approach to Linguistic Relationships
    Chundra Aroor Cathcart
    http://arxiv.org/abs/2001.05297v1

    • [cs.CL]Embedding Compression with Isotropic Iterative Quantization
    Siyu Liao, Jie Chen, Yanzhi Wang, Qinru Qiu, Bo Yuan
    http://arxiv.org/abs/2001.05314v1

    • [cs.CL]Exploring and Improving Robustness of Multi Task Deep Neural Networks via Domain Agnostic Defenses
    Kashyap Coimbatore Murali
    http://arxiv.org/abs/2001.05286v1

    • [cs.CL]FGN: Fusion Glyph Network for Chinese Named Entity Recognition
    Zhenyu Xuan, Rui Bao, Chuyu Ma, Shengyi Jiang
    http://arxiv.org/abs/2001.05272v1

    • [cs.CL]Improving Spoken Language Understanding By Exploiting ASR N-best Hypotheses
    Mingda Li, Weitong Ruan, Xinyue Liu, Luca Soldaini, Wael Hamza, Chengwei Su
    http://arxiv.org/abs/2001.05284v1

    • [cs.CL]Parallel Machine Translation with Disentangled Context Transformer
    Jungo Kasai, James Cross, Marjan Ghazvininejad, Jiatao Gu
    http://arxiv.org/abs/2001.05136v1

    • [cs.CL]Robust Speaker Recognition Using Speech Enhancement And Attention Model
    Yanpei Shi, Qiang Huang, Thomas Hain
    http://arxiv.org/abs/2001.05031v1

    • [cs.CL]Tensor Graph Convolutional Networks for Text Classification
    Xien Liu, Xinxin You, Xiao Zhang, Ji Wu, Ping Lv
    http://arxiv.org/abs/2001.05313v1

    • [cs.CL]Urdu-English Machine Transliteration using Neural Networks
    Usman Mohy ud Din
    http://arxiv.org/abs/2001.05296v1

    • [cs.CR]An n/2 Byzantine node tolerate Blockchain Sharding approach
    Yibin Xu, Yangyu Huang
    http://arxiv.org/abs/2001.05240v1

    • [cs.CR]Incentive Analysis of Bitcoin-NG, Revisited
    Jianyu Niu, Ziyu Wang, Fangyu Gai, Chen Feng
    http://arxiv.org/abs/2001.05082v1

    • [cs.CV]A Method for Estimating Reflectance map and Material using Deep Learning with Synthetic Dataset
    Mingi Lim, Sung-eui Yoon
    http://arxiv.org/abs/2001.05372v1

    • [cs.CV]A Reference Architecture for Plausible Threat Image Projection (TIP) Within 3D X-ray Computed Tomography Volumes
    Qian Wang, Najla Megherbi, Toby P. Breckon
    http://arxiv.org/abs/2001.05459v1

    • [cs.CV]A Sample Selection Approach for Universal Domain Adaptation
    Omri Lifshitz, Lior Wolf
    http://arxiv.org/abs/2001.05071v1

    • [cs.CV]A smile I could recognise in a thousand: Automatic identification of identity from dental radiography
    Oscar de Felice, Gustavo de Felice
    http://arxiv.org/abs/2001.05006v1

    • [cs.CV]Automated Anonymisation of Visual and Audio Data in Classroom Studies
    Ömer Sümer, Peter Gerjets, Ulrich Trautwein, Enkelejda Kasneci
    http://arxiv.org/abs/2001.05080v1

    • [cs.CV]Correcting Decalibration of Stereo Cameras in Self-Driving Vehicles
    Jon Muhovič, Janez Perš
    http://arxiv.org/abs/2001.05267v1

    • [cs.CV]DeepFactors: Real-Time Probabilistic Dense Monocular SLAM
    Jan Czarnowski, Tristan Laidlow, Ronald Clark, Andrew J. Davison
    http://arxiv.org/abs/2001.05049v1

    • [cs.CV]EEV Dataset: Predicting Expressions Evoked by Diverse Videos
    Jennifer J. Sun, Ting Liu, Alan S. Cowen, Florian Schroff, Hartwig Adam, Gautam Prasad
    http://arxiv.org/abs/2001.05488v1

    • [cs.CV]Emerging Disentanglement in Auto-Encoder Based Unsupervised Image Content Transfer
    Ori Press, Tomer Galanti, Sagie Benaim, Lior Wolf
    http://arxiv.org/abs/2001.05017v1

    • [cs.CV]Everybody’s Talkin’: Let Me Talk as You Want
    Linsen Song, Wayne Wu, Chen Qian, Ran He, Chen Change Loy
    http://arxiv.org/abs/2001.05201v1

    • [cs.CV]Extending Class Activation Mapping Using Gaussian Receptive Field
    Bum Jun Kim, Gyogwon Koo, Hyeyeon Choi, Sang Woo Kim
    http://arxiv.org/abs/2001.05153v1

    • [cs.CV]Indoor Layout Estimation by 2D LiDAR and Camera Fusion
    Jieyu Li, Robert L Stevenson
    http://arxiv.org/abs/2001.05422v1

    • [cs.CV]Learning multiview 3D point cloud registration
    Zan Gojcic, Caifa Zhou, Jan D. Wegner, Leonidas J. Guibas, Tolga Birdal
    http://arxiv.org/abs/2001.05119v1

    • [cs.CV]Lightweight 3D Human Pose Estimation Network Training Using Teacher-Student Learning
    Dong-Hyun Hwang, Suntae Kim, Nicolas Monet, Hideki Koike, Soonmin Bae
    http://arxiv.org/abs/2001.05097v1

    • [cs.CV]Morton Filters for Superior Template Protection for Iris Recognition
    Kiran B. Raja, R. Raghavendra, Sushma Venkatesh, Christoph Busch
    http://arxiv.org/abs/2001.05290v1

    • [cs.CV]Moving Objects Detection with a Moving Camera: A Comprehensive Review
    Marie-Neige Chapel, Thierry Bouwmans
    http://arxiv.org/abs/2001.05238v1

    • [cs.CV]Pose-Assisted Multi-Camera Collaboration for Active Object Tracking
    Jing Li, Jing Xu, Fangwei Zhong, Xiangyu Kong, Yu Qiao, Yizhou Wang
    http://arxiv.org/abs/2001.05161v1

    • [cs.CV]Proposal Learning for Semi-Supervised Object Detection
    Peng Tang, Chetan Ramaiah, Ran Xu, Caiming Xiong
    http://arxiv.org/abs/2001.05086v1

    • [cs.CV]Recognizing Video Events with Varying Rhythms
    Yikang Li, Tianshu Yu, Baoxin Li
    http://arxiv.org/abs/2001.05060v1

    • [cs.CV]Single Image Dehazing Using Ranking Convolutional Neural Network
    Yafei Song, Jia Li, Xiaogang Wang, Xiaowu Chen
    http://arxiv.org/abs/2001.05246v1

    • [cs.CV]Single Image Depth Estimation Trained via Depth from Defocus Cues
    Shir Gur, Lior Wolf
    http://arxiv.org/abs/2001.05036v1

    • [cs.CV]Structured GANs
    Irad Peleg, Lior Wolf
    http://arxiv.org/abs/2001.05216v1

    • [cs.CV]The Synthinel-1 dataset: a collection of high resolution synthetic overhead imagery for building segmentation
    Fanjie Kong, Bohao Huang, Kyle Bradbury, Jordan M. Malof
    http://arxiv.org/abs/2001.05130v1

    • [cs.CV]UnOVOST: Unsupervised Offline Video Object Segmentation and Tracking
    Jonathon Luiten, Idil Esen Zulfikar, Bastian Leibe
    http://arxiv.org/abs/2001.05425v1

    • [cs.CV]Uncertainty-Aware Multi-Shot Knowledge Distillation for Image-Based Object Re-Identification
    Xin Jin, Cuiling Lan, Wenjun Zeng, Zhibo Chen
    http://arxiv.org/abs/2001.05197v1

    • [cs.CV]Unifying Deep Local and Global Features for Efficient Image Search
    Bingyi Cao, Andre Araujo, Jack Sim
    http://arxiv.org/abs/2001.05027v1

    • [cs.CV]Unifying Training and Inference for Panoptic Segmentation
    Qizhu Li, Xiaojuan Qi, Philip H. S. Torr
    http://arxiv.org/abs/2001.04982v1

    • [cs.CY]Robot Rights? Let’s Talk about Human Welfare Instead
    Abeba Birhane, Jelle van Dijk
    http://arxiv.org/abs/2001.05046v1

    • [cs.CY]Social and Governance Implications of Improved Data Efficiency
    Aaron D. Tucker, Markus Anderljung, Allan Dafoe
    http://arxiv.org/abs/2001.05068v1

    • [cs.DC]A novel countermeasure technique to protect WSN against denial-of-sleep attacks using firefly and Hopfield neural network (HNN) algorithms
    Reza Fotohi, Somayyeh Firoozi Bari
    http://arxiv.org/abs/2001.05358v1

    • [cs.DC]Optimized implementation of the conjugate gradient algorithm for FPGA-based platforms using the Dirac-Wilson operator as an example
    G. Korcyl, P. Korcyl
    http://arxiv.org/abs/2001.05218v1

    • [cs.DL]The Archives Unleashed Project: Technology, Process, and Community to Improve Scholarly Access to Web Archives
    Nick Ruest, Jimmy Lin, Ian Milligan, Samantha Fritz
    http://arxiv.org/abs/2001.05399v1

    • [cs.DS]Forming Compatible Teams in Signed Networks
    Ioannis Kouvatis, Konstantinos Semertzidis, Maria Zerva, Evaggelia Pitoura, Panayiotis Tsaparas
    http://arxiv.org/abs/2001.03128v2

    • [cs.HC]Auto Completion of User Interface Layout Design Using Transformer-Based Tree Decoders
    Yang Li, Julien Amelot, Xin Zhou, Samy Bengio, Si Si
    http://arxiv.org/abs/2001.05308v1

    • [cs.HC]Relevance Prediction from Eye-movements Using Semi-interpretable Convolutional Neural Networks
    Nilavra Bhattacharya, Somnath Rakshit, Jacek Gwizdka, Paul Kogut
    http://arxiv.org/abs/2001.05152v1

    • [cs.HC]Scout: Rapid Exploration of Interface Layout Alternatives through High-Level Design Constraints
    Amanda Swearngin, Chenglong Wang, Alannah Oleson, James Fogarty, Amy J. Ko
    http://arxiv.org/abs/2001.05424v1

    • [cs.HC]Teddy: A System for Interactive Review Analysis
    Xiong Zhang, Jonathan Engel, Sara Evensen, Yuliang Li, Çağatay Demiralp, Wang-Chiew Tan
    http://arxiv.org/abs/2001.05171v1

    • [cs.IR]DSR: A Collection for the Evaluation of Graded Disease-Symptom Relations
    Markus Zlabinger, Sebastian Hofstätter, Navid Rekabsaz, Allan Hanbury
    http://arxiv.org/abs/2001.05357v1

    • [cs.IR]Deep Learning for MIR Tutorial
    Alexander Schindler, Thomas Lidy, Sebastian Böck
    http://arxiv.org/abs/2001.05266v1

    • [cs.IR]Modeling Product Search Relevance in e-Commerce
    Rahul Radhakrishnan Iyer, Rohan Kohli, Shrimai Prabhumoye
    http://arxiv.org/abs/2001.04980v1

    • [cs.IT]Achievable DoF Regions of Three-User MIMO Broadcast Channel with Delayed CSIT
    Tong Zhang
    http://arxiv.org/abs/2001.05134v1

    • [cs.IT]CRC-Aided Belief Propagation List Decoding of Polar Codes
    Marvin Geiselhart, Ahmed Elkelesh, Moustafa Ebada, Sebastian Cammerer, Stephan ten Brink
    http://arxiv.org/abs/2001.05303v1

    • [cs.IT]Coded Data Rebalancing: Fundamental Limits and Constructions
    Prasad Krishnan, V. Lalitha, Lakshmi Natarajan
    http://arxiv.org/abs/2001.04939v2

    • [cs.IT]Entangled Polynomial Codes for Secure, Private, and Batch Distributed Matrix Multiplication: Breaking the ‘’Cubic’’ Barrier
    Qian Yu, A. Salman Avestimehr
    http://arxiv.org/abs/2001.05101v1

    • [cs.IT]Fundamental Limits of Age-of-Information in Stationary and Non-stationary Environments
    Subhankar Banerjee, Rajarshi Bhattacharjee, Abhishek Sinha
    http://arxiv.org/abs/2001.05471v1

    • [cs.IT]Internet of Things-Enabled Overlay Satellite-Terrestrial Networks in the Presence of Interference
    Pankaj K. Sharma, Budharam Yogesh, Deepika Gupta
    http://arxiv.org/abs/2001.05176v1

    • [cs.IT]Low Complexity Distributed Computing via Binary Matrices with Extension to Stragglers
    Hailja Agrawal, Prasad Krishnan
    http://arxiv.org/abs/2001.05438v1

    • [cs.IT]Model-Driven Beamforming Neural Networks
    Wenchao Xia, Gan Zheng, Kai-Kit Wong, Hongbo Zhu
    http://arxiv.org/abs/2001.05277v1

    • [cs.IT]Network Information Theoretic Security
    Hongchao Zhou, Abbas El Gamal
    http://arxiv.org/abs/2001.05169v1

    • [cs.IT]Non-Uniform Windowed Decoding For Multi-Dimensional Spatially-Coupled LDPC Codes
    Lev Tauz, Homa Esfahanizadeh, Lara Dolecek
    http://arxiv.org/abs/2001.05117v1

    • [cs.IT]Scaling Laws of Dense Multi-Antenna Cellular Networks
    Ahmad AlAmmouri, Jeffrey G. Andrews, Francois Baccelli
    http://arxiv.org/abs/2001.05083v1

    • [cs.IT]Secrecy and Accessibility in Distributed Storage
    Lukas Holzbaur, Stanislav Kruglik, Alexey Frolov, Antonia Wachter-Zeh
    http://arxiv.org/abs/2001.05337v1

    • [cs.LG]A Formal Approach to Explainability
    Lior Wolf, Tomer Galanti, Tamir Hazan
    http://arxiv.org/abs/2001.05207v1

    • [cs.LG]Assurance Monitoring of Cyber-Physical Systems with Machine Learning Components
    Dimitrios Boursinos, Xenofon Koutsoukos
    http://arxiv.org/abs/2001.05014v1

    • [cs.LG]Autoencoders as Weight Initialization of Deep Classification Networks for Cancer versus Cancer Studies
    Mafalda Falcao Ferreira, Rui Camacho, Luis F. Teixeira
    http://arxiv.org/abs/2001.05253v1

    • [cs.LG]Causal Discovery from Incomplete Data: A Deep Learning Approach
    Yuhao Wang, Vlado Menkovski, Hao Wang, Xin Du, Mykola Pechenizkiy
    http://arxiv.org/abs/2001.05343v1

    • [cs.LG]Continuous-action Reinforcement Learning for Playing Racing Games: Comparing SPG to PPO
    Mario S. Holubar, Marco A. Wiering
    http://arxiv.org/abs/2001.05270v1

    • [cs.LG]Deep Residual Flow for Novelty Detection
    Ev Zisselman, Aviv Tamar
    http://arxiv.org/abs/2001.05419v1

    • [cs.LG]Extreme Regression for Dynamic Search Advertising
    Yashoteja Prabhu, Aditya Kusupati, Nilesh Gupta, Manik Varma
    http://arxiv.org/abs/2001.05228v1

    • [cs.LG]Graph-Bert: Only Attention is Needed for Learning Graph Representations
    Jiawei Zhang, Haopeng Zhang, Li Sun, Congying Xia
    http://arxiv.org/abs/2001.05140v1

    • [cs.LG]Learning a Single Neuron with Gradient Methods
    Gilad Yehudai, Ohad Shamir
    http://arxiv.org/abs/2001.05205v1

    • [cs.LG]Learning similarity measures from data
    Bjørn Magnus Mathisen, Agnar Aamodt, Kerstin Bach, Helge Langseth
    http://arxiv.org/abs/2001.05312v1

    • [cs.LG]Lipschitz Lifelong Reinforcement Learning
    Erwan Lecarpentier, David Abel, Kavosh Asadi, Yuu Jinnai, Emmanuel Rachelson, Michael L. Littman
    http://arxiv.org/abs/2001.05411v1

    • [cs.LG]On Iterative Neural Network Pruning, Reinitialization, and the Similarity of Masks
    Michela Paganini, Jessica Forde
    http://arxiv.org/abs/2001.05050v1

    • [cs.LG]PoPS: Policy Pruning and Shrinking for Deep Reinforcement Learning
    Dor Livne, Kobi Cohen
    http://arxiv.org/abs/2001.05012v1

    • [cs.LG]Right for the Wrong Scientific Reasons: Revising Deep Networks by Interacting with their Explanations
    Patrick Schramowski, Wolfgang Stammer, Stefano Teso, Anna Brugger, Hans-Georg Luigs, Anne-Katrin Mahlein, Kristian Kersting
    http://arxiv.org/abs/2001.05371v1

    • [cs.LG]Robotic Grasp Manipulation Using Evolutionary Computing and Deep Reinforcement Learning
    Priya Shukla, Hitesh Kumar, G. C. Nandi
    http://arxiv.org/abs/2001.05443v1

    • [cs.LG]SEERL: Sample Efficient Ensemble Reinforcement Learning
    Rohan Saphal, Balaraman Ravindran, Dheevatsa Mudigere, Sasikanth Avancha, Bharat Kaul
    http://arxiv.org/abs/2001.05209v1

    • [cs.LG]ShapeVis: High-dimensional Data Visualization at Scale
    Nupur Kumari, Siddarth R., Akash Rupela, Piyush Gupta, Balaji Krishnamurthy
    http://arxiv.org/abs/2001.05166v1

    • [cs.LG]The Gossiping Insert-Eliminate Algorithm for Multi-Agent Bandits
    Ronshee Chawla, Abishek Sankararaman, Ayalvadi Ganesh, Sanjay Shakkottai
    http://arxiv.org/abs/2001.05452v1

    • [cs.LG]Theoretical Interpretation of Learned Step Size in Deep-Unfolded Gradient Descent
    Satoshi Takabe, Tadashi Wadayama
    http://arxiv.org/abs/2001.05142v1

    • [cs.LG]Two Cycle Learning: Clustering Based Regularisation for Deep Semi-Supervised Classification
    Philip Sellars, Angelica Aviles-Rivero, Carola Bibiane Schönlieb
    http://arxiv.org/abs/2001.05317v1

    • [cs.LG]Understanding Generalization in Deep Learning via Tensor Methods
    Jingling Li, Yanchao Sun, Jiahao Su, Taiji Suzuki, Furong Huang
    http://arxiv.org/abs/2001.05070v1

    • [cs.LG]Unsupervised Learning of the Set of Local Maxima
    Lior Wolf, Sagie Benaim, Tomer Galanti
    http://arxiv.org/abs/2001.05026v1

    • [cs.LG]Unsupervised Pool-Based Active Learning for Linear Regression
    Ziang Liu, Dongrui Wu
    http://arxiv.org/abs/2001.05028v1

    • [cs.LO]A (Simplified) Supreme Being Necessarily Exists — Says the Computer!
    Christoph Benzmüller
    http://arxiv.org/abs/2001.04701v2

    • [cs.MA]Sybil-Resilient Social Choice with Partial Participation
    Reshef Meir, Gal Shahaf, Ehud Shapiro, Nimrod Talmon
    http://arxiv.org/abs/2001.05271v1

    • [cs.NE]Analysis of Genetic Algorithm on Bearings-Only Target Motion Analysis
    Erdem Kose
    http://arxiv.org/abs/2001.05381v1

    • [cs.NE]Neural Arithmetic Units
    Andreas Madsen, Alexander Rosenberg Johansen
    http://arxiv.org/abs/2001.05016v1

    • [cs.NE]Parameterized Complexity Analysis of Randomized Search Heuristics
    Frank Neumann, Andrew M. Sutton
    http://arxiv.org/abs/2001.05120v1

    • [cs.NI]On the Power of Randomization for Scheduling Real-Time Traffic in Wireless Networks
    Christos Tsanikidis, Javad Ghaderi
    http://arxiv.org/abs/2001.05146v1

    • [cs.RO]3D Object Segmentation for Shelf Bin Picking by Humanoid with Deep Learning and Occupancy Voxel Grid Map
    Kentaro Wada, Masaki Murooka, Kei Okada, Masayuki Inaba
    http://arxiv.org/abs/2001.05406v1

    • [cs.RO]CIAO$^\star$: MPC-based Safe Motion Planning in Predictable Dynamic Environments
    Tobias Schoels, Per Rutquist, Luigi Palmieri, Andrea Zanelli, Kai O. Arras, Moritz Diehl
    http://arxiv.org/abs/2001.05449v1

    • [cs.RO]DGCM-Net: Dense Geometrical Correspondence Matching Network for Incremental Experience-based Robotic Grasping
    Timothy Patten, Kiru Park, Markus Vincze
    http://arxiv.org/abs/2001.05279v1

    • [cs.RO]Direct Visual-Inertial Ego-Motion Estimation via Iterated Extended Kalman Filter
    Shangkun Zhong, Pakpong Chirarattananon
    http://arxiv.org/abs/2001.05215v1

    • [cs.SI]Detecting Mixing Services via Mining Bitcoin Transaction Network with Hybrid Motifs
    Jiajing Wu, Jieli Liu, Weili Chen, Huawei Huang, Zibin Zheng, Yan Zhang
    http://arxiv.org/abs/2001.05233v1

    • [cs.SI]Evolution of Ethereum: A Temporal Graph Perspective
    Qianlan Bai, Chao Zhang, Yuedong Xu, Xiaowei Chen, Xin Wang
    http://arxiv.org/abs/2001.05251v1

    • [cs.SI]How many bots are you following?
    Alessandro Balestrucci
    http://arxiv.org/abs/2001.05222v1

    • [cs.SI]NEW: A Generic Learning Model for Tie Strength Prediction in Networks
    Zhen Liu, Hu li, Chao Wang
    http://arxiv.org/abs/2001.05283v1

    • [cs.SI]Tubes & Bubbles — Topological confinement of YouTube recommendations
    Camille Roth, Antoine Mazières, Telmo Menezes
    http://arxiv.org/abs/2001.05324v1

    • [cs.SI]Unbiased evaluation of ranking metrics reveals consistent performance in science and technology citation data
    Shuqi Xu, Manuel Sebastian Mariani, Linyuan Lü, Matúš Medo
    http://arxiv.org/abs/2001.05414v1

    • [cs.SI]What Contributes to a Crowdfunding Campaign’s Success? Evidence and Analyses from GoFundMe Data
    Xupin Zhang, Hanjia Lyu, Jiebo Luo
    http://arxiv.org/abs/2001.05446v1

    • [eess.IV]Deep learning based Driver Distraction and Drowsiness Detection
    Maryam Hashemi, Alireza Mirrashid, Aliasghar Beheshti Shirazi
    http://arxiv.org/abs/2001.05137v1

    • [eess.IV]Hippocampus Segmentation on Epilepsy and Alzheimer’s Disease Studies with Multiple Convolutional Neural Networks
    Diedre Carmo, Bruna Silva, Claris
    381
    sa Yasuda, Letícia Rittner, Roberto Lotufo
    http://arxiv.org/abs/2001.05058v1

    • [eess.IV]Methodologies for Successful Segmentation of HRTEM Images via Neural Network
    Catherine K. Groschner, Christina Choi, M. C. Scott
    http://arxiv.org/abs/2001.05022v1

    • [eess.IV]Microvascular Dynamics from 4D Microscopy Using Temporal Segmentation
    Shir Gur, Lior Wolf, Lior Golgher, Pablo Blinder
    http://arxiv.org/abs/2001.05076v1

    • [eess.IV]Towards Deep Unsupervised SAR Despeckling with Blind-Spot Convolutional Neural Networks
    Andrea Bordone Molini, Diego Valsesia, Giulia Fracastoro, Enrico Magli
    http://arxiv.org/abs/2001.05264v1

    • [eess.SP]Improved propagation models for lte path loss prediction in urban & suburban Ghana
    James D. Gadze, Kwame A. Agyekum, Stephen J. Nuagah, E. A. Affum
    http://arxiv.org/abs/2001.05227v1

    • [eess.SY]A Tree Adjoining Grammar Representation for Models Of Stochastic Dynamical Systems
    Dhruv Khandelwal, Maarten Schoukens, Roland Tóth
    http://arxiv.org/abs/2001.05320v1

    • [hep-ph]Anomaly Detection with Density Estimation
    Benjamin Nachman, David Shih
    http://arxiv.org/abs/2001.04990v1

    • [hep-ph]Simulation Assisted Likelihood-free Anomaly Detection
    Anders Andreassen, Benjamin Nachman, David Shih
    http://arxiv.org/abs/2001.05001v1

    • [math.NA]Time evolution of the characteristic and probability density function of diffusion processes via neural networks
    Wayne Isaac Tan Uy, Mircea Grigoriu
    http://arxiv.org/abs/2001.05437v1

    • [math.OC]Total Deep Variation for Linear Inverse Problems
    Erich Kobler, Alexander Effland, Karl Kunisch, Thomas Pock
    http://arxiv.org/abs/2001.05005v1

    • [math.ST]Detecting Changes in the Second Moment Structure of High-Dimensional Sensor-Type Data in a $K$-Sample Setting
    Nils Mause, Ansgar Steland
    http://arxiv.org/abs/2001.05204v1

    • [math.ST]Large sample autocovariance matrices of linear processes with heavy tails
    Johannes Heiny, Thomas Mikosch
    http://arxiv.org/abs/2001.05056v1

    • [math.ST]Profile least squares estimators in the monotone single index model
    Fadoua Balabdaoui, Piet Groeneboom
    http://arxiv.org/abs/2001.05454v1

    • [physics.comp-ph]i-flow: High-dimensional Integration and Sampling with Normalizing Flows
    Christina Gao, Joshua Isaacson, Claudius Krause
    http://arxiv.org/abs/2001.05486v1

    • [physics.soc-ph]The wisdom of the few: Predicting collective success from individual behavior
    Manuel S. Mariani, Yanina Gimenez, Jorge Brea, Martin Minnoni, René Algesheimer, Claudio J. Tessone
    http://arxiv.org/abs/2001.04777v2

    • [q-bio.NC]Spike Train Cumulants for Linear-Nonlinear Poisson Cascade Models
    Michael Kordovan, Stefan Rotter
    http://arxiv.org/abs/2001.05057v1

    • [q-bio.QM]OpenHI2 — Open source histopathological image platform
    Pargorn Puttapirat, Haichuan Zhang, Jingyi Deng, Yuxin Dong, Jiangbo Shi, Hongyu He, Zeyu Gao, Chunbao Wang, Xiangrong Zhang, Chen Li
    http://arxiv.org/abs/2001.05158v1

    • [quant-ph]Machine learning transfer efficiencies for noisy quantum walks
    Alexey A. Melnikov, Leonid E. Fedichkin, Ray-Kuang Lee, Alexander Alodjants
    http://arxiv.org/abs/2001.05472v1

    • [stat.AP]Estimation of Climbing Route Difficulty using Whole-History Rating
    Dean Scarff
    http://arxiv.org/abs/2001.05388v1

    • [stat.AP]Spillover Effects in Experimental Data
    Peter M. Aronow, Dean Eckles, Cyrus Samii, Stephanie Zonszein
    http://arxiv.org/abs/2001.05444v1

    • [stat.ME]A linear noise approximation for stochastic epidemic models fit to partially observed incidence counts
    Jonathan Fintzi, Jon Wakefield, Vladimir N. Minin
    http://arxiv.org/abs/2001.05099v1

    • [stat.ME]Generalized Bayesian Quantification Learning
    Jacob Fiksel, Abhirup Datta, Agbessi Amouzou, Scott Zeger
    http://arxiv.org/abs/2001.05360v1

    • [stat.ME]High-Dimensional Changepoint Detection via a Geometrically Inspired Mapping
    Thomas Grundy, Rebecca Killick, Gueorgui Mihaylov
    http://arxiv.org/abs/2001.05241v1

    • [stat.ME]Model-based Clustering for Multivariate Networks
    Silvia D’Angelo, Marco Alfò, Michael Fop
    http://arxiv.org/abs/2001.05260v1

    • [stat.ME]Nonparametric tests of the causal null with non-discrete exposures
    Ted Westling
    http://arxiv.org/abs/2001.05344v1

    • [stat.ME]Sparse Covariance Estimation in Logit Mixture Models
    Youssef M Aboutaleb, Mazen Danaf, Yifei Xie, Moshe Ben-Akiva
    http://arxiv.org/abs/2001.05034v1

    • [stat.ME]Valid p-Values and Expectations of p-Values Revisited
    Albert Vexler
    http://arxiv.org/abs/2001.05126v1

    • [stat.ML]Automated extraction of mutual independence patterns using Bayesian comparison of partition models
    Guillaume Marrelec, Alain Giron
    http://arxiv.org/abs/2001.05407v1

    • [stat.ML]Bridging Convex and Nonconvex Optimization in Robust PCA: Noise, Outliers, and Missing Data
    Yuxin Chen, Jianqing Fan, Cong Ma, Yuling Yan
    http://arxiv.org/abs/2001.05484v1

    • [stat.ML]Doubly Sparse Variational Gaussian Processes
    Vincent Adam, Stefanos Eleftheriadis, Nicolas Durrande, Artem Artemev, James Hensman
    http://arxiv.org/abs/2001.05363v1

    • [stat.ML]Invertible Generative Modeling using Linear Rational Splines
    Hadi M. Dolatabadi, Sarah Erfani, Christopher Leckie
    http://arxiv.org/abs/2001.05168v1

    • [stat.ML]Physics Informed Deep Learning for Transport in Porous Media. Buckley Leverett Problem
    Cedric G. Fraces, Adrien Papaioannou, Hamdi Tchelepi
    http://arxiv.org/abs/2001.05172v1

    • [stat.ML]Resolving learning rates adaptively by locating Stochastic Non-Negative Associated Gradient Projection Points using line searches
    Dominic Kafka, Daniel N. Wilke
    http://arxiv.org/abs/2001.05113v1

    • [stat.ML]Support recovery and sup-norm convergence rates for sparse pivotal estimation
    Mathurin Massias, Quentin Bertrand, Alexandre Gramfort, Joseph Salmon
    http://arxiv.org/abs/2001.05401v1