cond-mat.mtrl-sci - 材料科学

    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.DB - 数据库 cs.DC - 分布式、并行与集群计算 cs.DS - 数据结构与算法 cs.GT - 计算机科学与博弈论 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 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.SD - 声音处理 cs.SI - 社交网络与信息网络 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 math.DS - 动力系统 math.NA - 数值分析 math.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 physics.ao-ph - 大气和海洋物理 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.PE - 人口与发展 q-fin.CP -计算金融学 stat.AP - 应用统计 stat.CO - 统计计算 stat.ME - 统计方法论 stat.ML - (统计)机器学习 stat.OT - 其他统计学

    • [cond-mat.mtrl-sci]Assessing Graph-based Deep Learning Models for Predicting Flash Point
    • [cs.AI]A neural network model of perception and reasoning
    • [cs.AI]Counterfactual fairness: removing direct effects through regularization
    • [cs.AI]Neural Lyapunov Model Predictive Control
    • [cs.AI]TanksWorld: A Multi-Agent Environment for AI Safety Research
    • [cs.AI]The Emerging Landscape of Explainable AI Planning and Decision Making
    • [cs.AI]Topologically sensitive metaheuristics
    • [cs.AI]Turning 30: New Ideas in Inductive Logic Programming
    • [cs.AI]Very simple statistical evidence that AlphaGo has exceeded human limits in playing GO game
    • [cs.AI]Wavelet-based Temporal Forecasting Models of Human Activities for Anomaly Detection
    • [cs.CL]Detecting Potential Topics In News Using BERT, CRF and Wikipedia
    • [cs.CL]End-to-End Entity Linking and Disambiguation leveraging Word and Knowledge Graph Embeddings
    • [cs.CL]Marathi To English Neural Machine Translation With Near Perfect Corpus And Transformers
    • [cs.CL]Speech2Phone: A Multilingual and Text Independent Speaker Identification Model
    • [cs.CL]Using Distributional Thesaurus Embedding for Co-hyponymy Detection
    • [cs.CR]Improved Extension Protocols for Byzantine Broadcast and Agreement
    • [cs.CR]IoT Device Identification Using Deep Learning
    • [cs.CR]On the Effectiveness of Mitigating Data Poisoning Attacks with Gradient Shaping
    • [cs.CR]Secure and Reliable Key Agreement with Physical Unclonable Functions
    • [cs.CV]A Quadruplet Loss for Enforcing Semantically Coherent Embeddings in Multi-output Classification Problems
    • [cs.CV]Adversarial Attack on Deep Product Quantization Network for Image Retrieval
    • [cs.CV]Adversarial Ranking Attack and Defense
    • [cs.CV]Controllable Descendant Face Synthesis
    • [cs.CV]CookGAN: Meal Image Synthesis from Ingredients
    • [cs.CV]Copy and Paste GAN: Face Hallucination from Shaded Thumbnails
    • [cs.CV]Deep Representation Learning on Long-tailed Data: A Learnable Embedding Augmentation Perspective
    • [cs.CV]Deform-GAN:An Unsupervised Learning Model for Deformable Registration
    • [cs.CV]Disentangling Image Distortions in Deep Feature Space
    • [cs.CV]Dynamic Graph Correlation Learning for Disease Diagnosis with Incomplete Labels
    • [cs.CV]Efficient Semantic Video Segmentation with Per-frame Inference
    • [cs.CV]FPConv: Learning Local Flattening for Point Convolution
    • [cs.CV]Generalized ODIN: Detecting Out-of-distribution Image without Learning from Out-of-distribution Data
    • [cs.CV]Generalized Product Quantization Network for Semi-supervised Hashing
    • [cs.CV]Geometric Fusion via Joint Delay Embeddings
    • [cs.CV]Globally Optimal Contrast Maximisation for Event-based Motion Estimation
    • [cs.CV]Graphcore C2 Card performance for image-based deep learning application: A Report
    • [cs.CV]Learning Light Field Angular Super-Resolution via a Geometry-Aware Network
    • [cs.CV]MPM: Joint Representation of Motion and Position Map for Cell Tracking
    • [cs.CV]MagnifierNet: Towards Semantic Regularization and Fusion for Person Re-identification
    • [cs.CV]Mnemonics Training: Multi-Class Incremental Learning without Forgetting
    • [cs.CV]Multi-Attribute Guided Painting Generation
    • [cs.CV]Object Relational Graph with Teacher-Recommended Learning for Video Captioning
    • [cs.CV]On the General Value of Evidence, and Bilingual Scene-Text Visual Question Answering
    • [cs.CV]Pedestrian Models for Autonomous Driving Part I: low level models, from sensing to tracking
    • [cs.CV]Performance Evaluation of Deep Generative Models for Generating Hand-Written Character Images
    • [cs.CV]PointTrackNet: An End-to-End Network For 3-D Object Detection and Tracking From Point Clouds
    • [cs.CV]PuzzleNet: Scene Text Detection by Segment Context Graph Learning
    • [cs.CV]Refined Gate: A Simple and Effective Gating Mechanism for Recurrent Units
    • [cs.CV]Rethinking the Route Towards Weakly Supervised Object Localization
    • [cs.CV]Self-supervised Image Enhancement Network: Training with Low Light Images Only
    • [cs.CV]Style Transfer for Light Field Photography
    • [cs.CV]Super-Resolving Commercial Satellite Imagery Using Realistic Training Data
    • [cs.CV]Towards Interpretable Semantic Segmentation via Gradient-weighted Class Activation Mapping
    • [cs.CV]Transfer Learning from Synthetic to Real-Noise Denoising with Adaptive Instance Normalization
    • [cs.CV]Unsupervised Semantic Attribute Discovery and Control in Generative Models
    • [cs.CV]Unsupervised Temporal Video Segmentation as an Auxiliary Task for Predicting the Remaining Surgery Duration
    • [cs.CV]Zooming Slow-Mo: Fast and Accurate One-Stage Space-Time Video Super-Resolution
    • [cs.CY]CausalML: Python Package for Causal Machine Learning
    • [cs.CY]Facebook Ads as a Demographic Tool to Measure the Urban-Rural Divide
    • [cs.CY]Interactive Summarizing — Automatic Slide Localization Technology as Generative Learning Tool
    • [cs.CY]Simpler handling of clinical concepts in R with clinconcept
    • [cs.DB]Video Monitoring Queries
    • [cs.DC]A Systematic Survey of General Sparse Matrix-Matrix Multiplication
    • [cs.DC]Appending Atomically in Byzantine Distributed Ledgers
    • [cs.DC]Bandwidth-Optimized Parallel Algorithms for Sparse Matrix-Matrix Multiplication using Propagation Blocking
    • [cs.DC]HFEL: Joint Edge Association and Resource Allocation for Cost-Efficient Hierarchical Federated Edge Learning
    • [cs.DC]Relaxed Scheduling for Scalable Belief Propagation
    • [cs.DC]Romu: Fast Nonlinear Pseudo-Random Number Generators Providing High Quality
    • [cs.DC]Safe and Efficient Remote Application Code Execution on Disaggregated NVM Storage with eBPF
    • [cs.DC]Upper and Lower Bounds on the Space Complexity of Detectable Object
    • [cs.DS]Compact Representation of Uncertainty in Hierarchical Clustering
    • [cs.DS]Limitations of Greed: Influence Maximization in Undirected Networks Re-visited
    • [cs.DS]On Learning a Hidden Directed Graph with Path Queries
    • [cs.DS]Query-Efficient Correlation Clustering
    • [cs.GT]Designing Truthful Contextual Multi-Armed Bandits based Sponsored Search Auctions
    • [cs.IR]AutoEmb: Automated Embedding Dimensionality Search in Streaming Recommendations
    • [cs.IR]Ranking a set of objects: a graph based least-square approach
    • [cs.IT]A structural attack to the DME-(3,2,q) cryptosystem
    • [cs.IT]Age-optimal Service and Decision Scheduling in Internet of Things
    • [cs.IT]Composite Matrices from Group Rings, Composite G-Codes and Constructions of Self-Dual Codes
    • [cs.IT]Minimax Optimal Estimation of KL Divergence for Continuous Distributions
    • [cs.IT]Mobility and Blockage-aware Communications in Millimeter-Wave Vehicular Networks
    • [cs.IT]Performance Analysis of Indoor mmWave Networks with Ceiling-Mounted Access Points
    • [cs.IT]Polar-Slotted ALOHA over Slot Erasure Channels
    • [cs.IT]Refined Strong Converse for the Constant Composition Codes
    • [cs.IT]Symmetric uncoded caching schemes with low subpacketization levels
    • [cs.IT]Ultra Reliable Communication via Optimum Power Allocation for HARQ Retransmission Schemes
    • [cs.LG]A Sample Complexity Separation between Non-Convex and Convex Meta-Learning
    • [cs.LG]A Survey towards Federated Semi-supervised Learning
    • [cs.LG]Attacks Which Do Not Kill Training Make Adversarial Learning Stronger
    • [cs.LG]CLARA: Clinical Report Auto-completion
    • [cs.LG]Complete Dictionary Learning via $\ell_p$-norm Maximization
    • [cs.LG]Convergence to Second-Order Stationarity for Non-negative Matrix Factorization: Provably and Concurrently
    • [cs.LG]Convex Geometry and Duality of Over-parameterized Neural Networks
    • [cs.LG]Corrupted Multidimensional Binary Search: Learning in the Presence of Irrational Agents
    • [cs.LG]DLSpec: A Deep Learning Task Exchange Specification
    • [cs.LG]DNN-Chip Predictor: An Analytical Performance Predictor for DNN Accelerators with Various Dataflows and Hardware Architectures
    • [cs.LG]DeBayes: a Bayesian method for debiasing network embeddings
    • [cs.LG]Decidability of Sample Complexity of PAC Learning in finite setting
    • [cs.LG]Deep Learning and Statistical Models for Time-Critical Pedestrian Behaviour Prediction
    • [cs.LG]Differentially Private Mean Embeddings with Random Features (DP-MERF) for Simple & Practical Synthetic Data Generation
    • [cs.LG]Dual Graph Representation Learning
    • [cs.LG]Dynamic Incentive-aware Learning: Robust Pricing in Contextual Auctions
    • [cs.LG]Efficient Rollout Strategies for Bayesian Optimization
    • [cs.LG]EmbPred30: Assessing 30-days Readmission for Diabetic Patients using Categorical Embeddings
    • [cs.LG]Fair Learning with Private Demographic Data
    • [cs.LG]Generalized Hindsight for Reinforcement Learning
    • [cs.LG]Invariance vs. Robustness of Neural Networks
    • [cs.LG]Learning Navigation Costs from Demonstration in Partially Observable Environments
    • [cs.LG]Lipschitz standardization for robust multivariate learning
    • [cs.LG]NestedVAE: Isolating Common Factors via Weak Supervision
    • [cs.LG]NeuralSens: Sensitivity Analysis of Neural Networks
    • [cs.LG]Non-Asymptotic Bounds for Zeroth-Order Stochastic Optimization
    • [cs.LG]Nonlinear classifiers for ranking problems based on kernelized SVM
    • [cs.LG]Overfitting in adversarially robust deep learning
    • [cs.LG]PHS: A Toolbox for Parellel Hyperparameter Search
    • [cs.LG]PaDGAN: A Generative Adversarial Network for Performance Augmented Diverse Designs
    • [cs.LG]Provable Meta-Learning of Linear Representations
    • [cs.LG]Randomization matters. How to defend against strong adversarial attacks
    • [cs.LG]Recommendation on a Budget: Column Space Recovery from Partially Observed Entries with Random or Active Sampling
    • [cs.LG]Relevant-features based Auxiliary Cells for Energy Efficient Detection of Natural Errors
    • [cs.LG]Reliable Estimation of Kullback-Leibler Divergence by Controlling Discriminator Complexity in the Reproducing Kernel Hilbert Space
    • [cs.LG]Rethinking Bias-Variance Trade-off for Generalization of Neural Networks
    • [cs.LG]Sparse Sinkhorn Attention
    • [cs.LG]Structured Linear Contextual Bandits: A Sharp and Geometric Smoothed Analysis
    • [cs.LG]Supervised Categorical Metric Learning with Schatten p-Norms
    • [cs.LG]TxSim:Modeling Training of Deep Neural Networks on Resistive Crossbar Systems
    • [cs.LG]Understanding Self-Training for Gradual Domain Adaptation
    • [cs.LG]When Do Drivers Concentrate? Attention-based Driver Behavior Modeling With Deep Reinforcement Learning
    • [cs.MA]RMB-DPOP: Refining MB-DPOP by Reducing Redundant Inferences
    • [cs.NE]Inceptive Event Time-Surfaces for Object Classification Using Neuromorphic Cameras
    • [cs.NI]IoT Based Real Time Noise Mapping System for Urban Sound Pollution Study
    • [cs.RO]Efficient reinforcement learning control for continuum robots based on Inexplicit Prior Knowledge
    • [cs.RO]Fail-safe Flight of a Fully-Actuated Quadcopter in a Single Motor Failure
    • [cs.RO]From Seeing to Moving: A Survey on Learning for Visual Indoor Navigation (VIN)
    • [cs.RO]Least Squares Optimization: from Theory to Practice
    • [cs.RO]Linear-Time Variational Integrators in Maximal Coordinates
    • [cs.RO]Mid-flight Propeller Failure Detection and Control of Propeller-deficient Quadcopter using Reinforcement Learning
    • [cs.RO]Probabilistic approach to physical object disentangling
    • [cs.SD]An Open-set Recognition and Few-Shot Learning Dataset for Audio Event Classification in Domestic Environments
    • [cs.SI]An Information Diffusion Approach to Rumor Propagation and Identification on Twitter
    • [cs.SI]Computing the Value of Spatio-Temporal Data in Wholesale and Retail Data Marketplaces
    • [cs.SI]MGA: Momentum Gradient Attack on Network
    • [cs.SI]Network Representation Learning for Link Prediction: Are we improving upon simple heuristics?
    • [cs.SI]Who is the Centre of the Movie Universe? Using Python and NetworkX to Analyse the Social Network of Movie Stars
    • [eess.AS]A Density Ratio Approach to Language Model Fusion in End-To-End Automatic Speech Recognition
    • [eess.IV]Automatically Searching for U-Net Image Translator Architecture
    • [eess.IV]CheXpedition: Investigating Generalization Challenges for Translation of Chest X-Ray Algorithms to the Clinical Setting
    • [eess.IV]Force-Ultrasound Fusion: Bringing Spine Robotic-US to the Next “Level”
    • [eess.IV]Region of Interest Identification for Brain Tumors in Magnetic Resonance Images
    • [eess.IV]Unpaired Image Super-Resolution using Pseudo-Supervision
    • [eess.SP]Adaptive Multi-Receiver Coded Slotted ALOHA for Indoor Optical Wireless Communications
    • [eess.SP]Analytical Equations based Prediction Approach for PM2.5 using Artificial Neural Network
    • [eess.SP]Concatenated Convolution-Polar codes over Rayleigh Channels degraded as Erasure Channels
    • [eess.SP]Learning Product Graphs Underlying Smooth Graph Signals
    • [eess.SP]Multi-frequency calibration for DOA estimation with distributed sensors
    • [eess.SY]Calculations of System Adequacy Considering Heat Transition Pathways
    • [math.DS]Assignment Flows for Data Labeling on Graphs: Convergence and Stability
    • [math.NA]Numerical Solution of Inverse Problems by Weak Adversarial Networks
    • [math.OC]Acceleration for Compressed Gradient Descent in Distributed and Federated Optimization
    • [math.OC]Distributed Algorithms for Composite Optimization: Unified and Tight Convergence Analysis
    • [math.OC]Efficient algorithms for multivariate shape-constrained convex regression problems
    • [math.OC]Proximal Gradient Algorithm with Momentum and Flexible Parameter Restart for Nonconvex Optimization
    • [math.PR]A CLT in Stein’s distance for generalized Wishart matrices and higher order tensors
    • [math.ST]A Balancing Weight Framework for Estimating the Causal Effect of General Treatments
    • [math.ST]A Visual Sensitivity Analysis for Parameter-Augmented Ensembles of Curves
    • [math.ST]A short note on learning discrete distributions
    • [math.ST]Aggregated hold out for sparse linear regression with a robust loss function
    • [math.ST]An Optimal Statistical and Computational Framework for Generalized Tensor Estimation
    • [math.ST]Extremes of Censored and Uncensored Lifetimes in Survival Data
    • [math.ST]Scientific versus statistical modelling: a unifying approach
    • [physics.ao-ph]Data-driven super-parameterization using deep learning: Experimentation with multi-scale Lorenz 96 systems and transfer-learning
    • [physics.comp-ph]Machine Learning based prediction of noncentrosymmetric crystal materials
    • [physics.soc-ph]Lying on networks: The role of structure and topology in promoting honesty
    • [q-bio.NC]A Quantized Representation of Intertemporal Choice in the Brain
    • [q-bio.PE]The Moran Genealogy Process
    • [q-fin.CP]Fast Lower and Upper Estimates for the Price of Constrained Multiple Exercise American Options by Single Pass Lookahead Search and Nearest-Neighbor Martingale
    • [stat.AP]Correspondence Analysis between the Location and the Leading Causes of Death in the United States
    • [stat.AP]Enforcing Mean Reversion in State Space Models for Prawn Pond Water Quality Forecasting
    • [stat.CO]Towards new cross-validation-based estimators for Gaussian process regression: efficient adjoint computation of gradients
    • [stat.ME]Classical and Bayesian Analyses of a Mixture of Exponential and Lomax Distributions
    • [stat.ME]Paired Comparisons Modeling using t-Distribution with Bayesian Analysis
    • [stat.ML]A Comparative Study of Machine Learning Models for Predicting the State of Reactive Mixing
    • [stat.ML]A general framework for ensemble distribution distillation
    • [stat.ML]Adversarial Monte Carlo Meta-Learning of Optimal Prediction Procedures
    • [stat.ML]Automated Augmented Conjugate Inference for Non-conjugate Gaussian Process Models
    • [stat.ML]Bayesian Nonparametric Space Partitions: A Survey
    • [stat.ML]Device Heterogeneity in Federated Learning: A Superquantile Approach
    • [stat.ML]Fundamental Issues Regarding Uncertainties in Artificial Neural Networks
    • [stat.ML]ICE-BeeM: Identifiable Conditional Energy-Based Deep Models
    • [stat.ML]Incorporating Expert Prior Knowledge into Experimental Design via Posterior Sampling
    • [stat.ML]Information Directed Sampling for Linear Partial Monitoring
    • [stat.ML]Off-Policy Evaluation and Learning for External Validity under a Covariate Shift
    • [stat.ML]Predicting Neural Network Accuracy from Weights
    • [stat.ML]Profile Entropy: A Fundamental Measure for the Learnability and Compressibility of Discrete Distributions
    • [stat.ML]Revisiting Ensembles in an Adversarial Context: Improving Natural Accuracy
    • [stat.ML]Smoothing Graphons for Modelling Exchangeable Relational Data
    • [stat.ML]Stagewise Enlargement of Batch Size for SGD-based Learning
    • [stat.ML]The role of regularization in classification of high-dimensional noisy Gaussian mixture
    • [stat.OT]Liquid Scorecards

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

    • [cond-mat.mtrl-sci]Assessing Graph-based Deep Learning Models for Predicting Flash Point
    Xiaoyu Sun, Nathaniel J. Krakauer, Alexander Politowicz, Wei-Ting Chen, Qiying Li, Zuoyi Li, Xianjia Shao, Alfred Sunaryo, Mingren Shen, James Wang, Dane Morgan
    http://arxiv.org/abs/2002.11315v1

    • [cs.AI]A neural network model of perception and reasoning
    Paul J. Blazek, Milo M. Lin
    http://arxiv.org/abs/2002.11319v1

    • [cs.AI]Counterfactual fairness: removing direct effects through regularization
    Pietro G. Di Stefano, James M. Hickey, Vlasios Vasileiou
    http://arxiv.org/abs/2002.10774v2

    • [cs.AI]Neural Lyapunov Model Predictive Control
    Mayank Mittal, Marco Gallieri, Alessio Quaglino, Seyed Sina Mirrazavi Salehian, Jan Koutník
    http://arxiv.org/abs/2002.10451v1

    • [cs.AI]TanksWorld: A Multi-Agent Environment for AI Safety Research
    Corban G. Rivera, Olivia Lyons, Arielle Summitt, Ayman Fatima, Ji Pak, William Shao, Robert Chalmers, Aryeh Englander, Edward W. Staley, I-Jeng Wang, Ashley J. Llorens
    http://arxiv.org/abs/2002.11174v1

    • [cs.AI]The Emerging Landscape of Explainable AI Planning and Decision Making
    Tathagata Chakraborti, Sarath Sreedharan, Subbarao Kambhampati
    http://arxiv.org/abs/2002.11697v1

    • [cs.AI]Topologically sensitive metaheuristics
    Aleksandar Kartelj, Vladimir Filipović, Siniša Vrećica, Rade Živaljević
    http://arxiv.org/abs/2002.11164v1

    • [cs.AI]Turning 30: New Ideas in Inductive Logic Programming
    Andrew Cropper, Sebastijan Dumančić, Stephen H. Muggleton
    http://arxiv.org/abs/2002.11002v2

    • [cs.AI]Very simple statistical evidence that AlphaGo has exceeded human limits in playing GO game
    Okyu Kwon
    http://arxiv.org/abs/2002.11107v1

    • [cs.AI]Wavelet-based Temporal Forecasting Models of Human Activities for Anomaly Detection
    Manuel Fernandez-Carmona, Nicola Bellotto
    http://arxiv.org/abs/2002.11503v1

    • [cs.CL]Detecting Potential Topics In News Using BERT, CRF and Wikipedia
    Swapnil Ashok Jadhav
    http://arxiv.org/abs/2002.11402v1

    • [cs.CL]End-to-End Entity Linking and Disambiguation leveraging Word and Knowledge Graph Embeddings
    Rostislav Nedelchev, Debanjan Chaudhuri, Jens Lehmann, Asja Fischer
    http://arxiv.org/abs/2002.11143v1

    • [cs.CL]Marathi To English Neural Machine Translation With Near Perfect Corpus And Transformers
    Swapnil Ashok Jadhav
    http://arxiv.org/abs/2002.11643v1

    • [cs.CL]Speech2Phone: A Multilingual and Text Independent Speaker Identification Model
    Edresson Casanova, Arnaldo Candido Junior, Christopher Shulby, Hamilton Pereira da Silva, Pedro Luiz de Paula Filho, Alessandro Ferreira Cordeiro, Victor de Oliveira Guedes, Sandra Maria Aluisio
    http://arxiv.org/abs/2002.11213v1

    • [cs.CL]Using Distributional Thesaurus Embedding for Co-hyponymy Detection
    Abhik Jana, Nikhil Reddy Varimalla, Pawan Goyal
    http://arxiv.org/abs/2002.11506v1

    • [cs.CR]Improved Extension Protocols for Byzantine Broadcast and Agreement
    Kartik Nayak, Ling Ren, Elaine Shi, Nitin H. Vaidya, Zhuolun Xiang
    http://arxiv.org/abs/2002.11321v1

    • [cs.CR]IoT Device Identification Using Deep Learning
    Jaidip Kotak, Yuval Elovici
    http://arxiv.org/abs/2002.11686v1

    • [cs.CR]On the Effectiveness of Mitigating Data Poisoning Attacks with Gradient Shaping
    Sanghyun Hong, Varun Chandrasekaran, Yiğitcan Kaya, Tudor Dumitraş, Nicolas Papernot
    http://arxiv.org/abs/2002.11497v1

    • [cs.CR]Secure and Reliable Key Agreement with Physical Unclonable Functions
    Onur Günlü, Tasnad Kernetzky, Onurcan İşcan, Vladimir Sidorenko, Gerhard Kramer, Rafael F. Schaefer
    http://arxiv.org/abs/2002.11687v1

    • [cs.CV]A Quadruplet Loss for Enforcing Semantically Coherent Embeddings in Multi-output Classification Problems
    Hugo Proença, Ehsan Yaghoubi
    http://arxiv.org/abs/2002.11644v1

    • [cs.CV]Adversarial Attack on Deep Product Quantization Network for Image Retrieval
    Yan Feng, Bin Chen, Tao Dai, Shutao Xia
    http://arxiv.org/abs/2002.11374v1

    • [cs.CV]Adversarial Ranking Attack and Defense
    Mo Zhou, Zhenxing Niu, Le Wang, Qilin Zhang, Gang Hua
    http://arxiv.org/abs/2002.11293v1

    • [cs.CV]Controllable Descendant Face Synthesis
    Yong Zhang, Le Li, Zhilei Liu, Baoyuan Wu, Yanbo Fan, Zhifeng Li
    http://arxiv.org/abs/2002.11376v1

    • [cs.CV]CookGAN: Meal Image Synthesis from Ingredients
    Fangda Han, Ricardo Guerrero, Vladimir Pavlovic
    http://arxiv.org/abs/2002.11493v1

    • [cs.CV]Copy and Paste GAN: Face Hallucination from Shaded Thumbnails
    Yang Zhang, Ivor Tsang, Yawei Luo, Changhui Hu, Xiaobo Lu, Xin Yu
    http://arxiv.org/abs/2002.10650v2

    • [cs.CV]Deep Representation Learning on Long-tailed Data: A Learnable Embedding Augmentation Perspective
    Jialun Liu, Yifan Sun, Chuchu Han, Zhaopeng Dou, Wenhui Li
    http://arxiv.org/abs/2002.10826v2

    • [cs.CV]Deform-GAN:An Unsupervised Learning Model for Deformable Registration
    Xiaoyue Zhang, Weijian Jian, Yu Chen, Shihting Yang
    http://arxiv.org/abs/2002.11430v1

    • [cs.CV]Disentangling Image Distortions in Deep Feature Space
    Simone Bianco, Luigi Celona, Paolo Napoletano, Raimondo Schettini
    http://arxiv.org/abs/2002.11409v1

    • [cs.CV]Dynamic Graph Correlation Learning for Disease Diagnosis with Incomplete Labels
    Daizong Liu, Shuangjie Xu, Pan Zhou, Kun He, Wei Wei, Zichuan Xu
    http://arxiv.org/abs/2002.11629v1

    • [cs.CV]Efficient Semantic Video Segmentation with Per-frame Inference
    Yifan Liu, Chunhua Shen, Changqian Yu, Jingdong Wang
    http://arxiv.org/abs/2002.11433v1

    • [cs.CV]FPConv: Learning Local Flattening for Point Convolution
    Yiqun Lin, Zizheng Yan, Haibin Huang, Dong Du, Ligang Liu, Shuguang Cui, Xiaoguang Han
    http://arxiv.org/abs/2002.10701v2

    • [cs.CV]Generalized ODIN: Detecting Out-of-distribution Image without Learning from Out-of-distribution Data
    Yen-Chang Hsu, Yilin Shen, Hongxia Jin, Zsolt Kira
    http://arxiv.org/abs/2002.11297v1

    • [cs.CV]Generalized Product Quantization Network for Semi-supervised Hashing
    Young Kyun Jang, Nam Ik Cho
    http://arxiv.org/abs/2002.11281v1

    • [cs.CV]Geometric Fusion via Joint Delay Embeddings
    Elchanan Solomon, Paul Bendich
    http://arxiv.org/abs/2002.11201v1

    • [cs.CV]Globally Optimal Contrast Maximisation for Event-based Motion Estimation
    Daqi Liu, Álvaro Parra, Tat-Jun Chin
    http://arxiv.org/abs/2002.10686v2

    • [cs.CV]Graphcore C2 Card performance for image-based deep learning application: A Report
    Ilyes Kacher, Maxime Portaz, Hicham Randrianarivo, Sylvain Peyronnet
    http://arxiv.org/abs/2002.11670v1

    • [cs.CV]Learning Light Field Angular Super-Resolution via a Geometry-Aware Network
    Jing Jin, Junhui Hou, Hui Yuan, Sam Kwong
    http://arxiv.org/abs/2002.11263v1

    • [cs.CV]MPM: Joint Representation of Motion and Position Map for Cell Tracking
    Junya Hayashida, Kazuya Nishimura, Ryoma Bise
    http://arxiv.org/abs/2002.10749v2

    • [cs.CV]MagnifierNet: Towards Semantic Regularization and Fusion for Person Re-identification
    Yushi Lan, Yuan Liu, Maoqing Tian, Xinchi Zhou, Xuesen Zhang, Shuai Yi, Hongsheng Li
    http://arxiv.org/abs/2002.10979v2

    • [cs.CV]Mnemonics Training: Multi-Class Incremental Learning without Forgetting
    Yaoyao Liu, An-An Liu, Yuting Su, Bernt Schiele, Qianru Sun
    http://arxiv.org/abs/2002.10211v2

    • [cs.CV]Multi-Attribute Guided Painting Generation
    Minxuan Lin, Yingying Deng, Fan Tang, Weiming Dong, Changsheng Xu
    http://arxiv.org/abs/2002.11261v1

    • [cs.CV]Object Relational Graph with Teacher-Recommended Learning for Video Captioning
    Ziqi Zhang, Yaya Shi, Chunfeng Yuan, Bing Li, Peijin Wang, Weiming Hu, Zhengjun Zha
    http://arxiv.org/abs/2002.11566v1

    • [cs.CV]On the General Value of Evidence, and Bilingual Scene-Text Visual Question Answering
    Xinyu Wang, Yuliang Liu, Chunhua Shen, Chun Chet Ng, Canjie Luo, Lianwen Jin, Chee Seng Chan, Anton van den Hengel, Liangwei Wang
    http://arxiv.org/abs/2002.10215v2

    • [cs.CV]Pedestrian Models for Autonomous Driving Part I: low level models, from sensing to tracking
    Fanta Camara, Nicola Bellotto, Serhan Cosar, Dimitris Nathanael, Matthias Althoff, Jingyuan Wu, Johannes Ruenz, André Dietrich, Charles W. Fox
    http://arxiv.org/abs/2002.11669v1

    • [cs.CV]Performance Evaluation of Deep Generative Models for Generating Hand-Written Character Images
    Tanmoy Mondal, LE Thi Thuy Trang, Mickaël Coustaty, Jean-Marc Ogier
    http://arxiv.org/abs/2002.11424v1

    • [cs.CV]PointTrackNet: An End-to-End Network For 3-D Object Detection and Tracking From Point Clouds
    Sukai Wang, Yuxiang Sun, Chengju Liu, Ming Liu
    http://arxiv.org/abs/2002.11559v1

    • [cs.CV]PuzzleNet: Scene Text Detection by Segment Context Graph Learning
    Hao Liu, Antai Guo, Deqiang Jiang, Yiqing Hu, Bo Ren
    http://arxiv.org/abs/2002.11371v1

    • [cs.CV]Refined Gate: A Simple and Effective Gating Mechanism for Recurrent Units
    Zhanzhan Cheng, Yunlu Xu, Mingjian Cheng, Yu Qiao, Shiliang Pu, Yi Niu, Fei Wu
    http://arxiv.org/abs/2002.11338v1

    • [cs.CV]Rethinking the Route Towards Weakly Supervised Object Localization
    Chen-Lin Zhang, Yun-Hao Cao, Jianxin Wu
    http://arxiv.org/abs/2002.11359v1

    • [cs.CV]Self-supervised Image Enhancement Network: Training with Low Light Images Only
    Yu Zhang, Xiaoguang Di, Bin Zhang, Chunhui Wang
    http://arxiv.org/abs/2002.11300v1

    • [cs.CV]Style Transfer for Light Field Photography
    David Hart, Jessica Greenland, Bryan Morse
    http://arxiv.org/abs/2002.11220v1

    • [cs.CV]Super-Resolving Commercial Satellite Imagery Using Realistic Training Data
    Xiang Zhu, Hossein Talebi, Xinwei Shi, Feng Yang, Peyman Milanfar
    http://arxiv.org/abs/2002.11248v1

    • [cs.CV]Towards Interpretable Semantic Segmentation via Gradient-weighted Class Activation Mapping
    Kira Vinogradova, Alexandr Dibrov, Gene Myers
    http://arxiv.org/abs/2002.11434v1

    • [cs.CV]Transfer Learning from Synthetic to Real-Noise Denoising with Adaptive Instance Normalization
    Yoonsik Kim, Jae Woong Soh, Gu Yong Park, Nam Ik Cho
    http://arxiv.org/abs/2002.11244v1

    • [cs.CV]Unsupervised Semantic Attribute Discovery and Control in Generative Models
    William Paul, I-Jeng Wang, Fady Alajaji, Philippe Burlina
    http://arxiv.org/abs/2002.11169v1

    • [cs.CV]Unsupervised Temporal Video Segmentation as an Auxiliary Task for Predicting the Remaining Surgery Duration
    Dominik Rivoir, Sebastian Bodenstedt, Felix von Bechtolsheim, Marius Distler, Jürgen Weitz, Stefanie Speidel
    http://arxiv.org/abs/2002.11367v1

    • [cs.CV]Zooming Slow-Mo: Fast and Accurate One-Stage Space-Time Video Super-Resolution
    Xiaoyu Xiang, Yapeng Tian, Yulun Zhang, Yun Fu, Jan P. Allebach, Chenliang Xu
    http://arxiv.org/abs/2002.11616v1

    • [cs.CY]CausalML: Python Package for Causal Machine Learning
    Huigang Chen, Totte Harinen, Jeong-Yoon Lee, Mike Yung, Zhenyu Zhao
    http://arxiv.org/abs/2002.11631v1

    • [cs.CY]Facebook Ads as a Demographic Tool to Measure the Urban-Rural Divide
    Daniele Rama, Yelena Mejova, Michele Tizzoni, Kyriaki Kalimeri, Ingmar Weber
    http://arxiv.org/abs/2002.11645v1

    • [cs.CY]Interactive Summarizing — Automatic Slide Localization Technology as Generative Learning Tool
    Lili Yan, Kai Li
    http://arxiv.org/abs/2002.11203v1

    • [cs.CY]Simpler handling of clinical concepts in R with clinconcept
    Robert C. Free
    http://arxiv.org/abs/2002.11431v1

    • [cs.DB]Video Monitoring Queries
    Nick Koudas, Raymond Li, Ioannis Xarchakos
    http://arxiv.org/abs/2002.10537v1

    • [cs.DC]A Systematic Survey of General Sparse Matrix-Matrix Multiplication
    Jianhua Gao, Weixing Ji, Zhaonian Tan, Yueyan Zhao
    http://arxiv.org/abs/2002.11273v1

    • [cs.DC]Appending Atomically in Byzantine Distributed Ledgers
    Vicent Cholvi, Antonio Fernandez Anta, Chryssis Georgiou, Nicolas Nicolaou, Michel Raynal
    http://arxiv.org/abs/2002.11593v1

    • [cs.DC]Bandwidth-Optimized Parallel Algorithms for Sparse Matrix-Matrix Multiplication using Propagation Blocking
    Zhixiang Gu, Jose Moreira, David Edelsohn, Ariful Azad
    http://arxiv.org/abs/2002.11302v1

    • [cs.DC]HFEL: Joint Edge Association and Resource Allocation for Cost-Efficient Hierarchical Federated Edge Learning
    Siqi Luo, Xu Chen, Qiong Wu, Zhi Zhou, Shuai Yu
    http://arxiv.org/abs/2002.11343v1

    • [cs.DC]Relaxed Scheduling for Scalable Belief Propagation
    Vitaly Aksenov, Dan Alistarh, Janne H. Korhonen
    http://arxiv.org/abs/2002.11505v1

    • [cs.DC]Romu: Fast Nonlinear Pseudo-Random Number Generators Providing High Quality
    Mark A. Overton
    http://arxiv.org/abs/2002.11331v1

    • [cs.DC]Safe and Efficient Remote Application Code Execution on Disaggregated NVM Storage with eBPF
    Kornilios Kourtis, Animesh Trivedi, Nikolas Ioannou
    http://arxiv.org/abs/2002.11528v1

    • [cs.DC]Upper and Lower Bounds on the Space Complexity of Detectable Object
    Ohad Ben-Baruch, Danny Hendler, Matan Rusanovsky
    http://arxiv.org/abs/2002.11378v1

    • [cs.DS]Compact Representation of Uncertainty in Hierarchical Clustering
    Craig S. Greenberg, Sebastian Macaluso, Nicholas Monath, Ji-Ah Lee, Patrick Flaherty, Kyle Cranmer, Andrew McGregor, Andrew McCallum
    http://arxiv.org/abs/2002.11661v1

    • [cs.DS]Limitations of Greed: Influence Maximization in Undirected Networks Re-visited
    Grant Schoenebeck, Biaoshuai Tao, Fang-Yi Yu
    http://arxiv.org/abs/2002.11679v1

    • [cs.DS]On Learning a Hidden Directed Graph with Path Queries
    Mano Vikash Janardhanan, Lev Reyzin
    http://arxiv.org/abs/2002.11541v1

    • [cs.DS]Query-Efficient Correlation Clustering
    David García-Soriano, Konstantin Kutzkov, Francesco Bonchi, Charalampos Tsourakakis
    http://arxiv.org/abs/2002.11557v1

    • [cs.GT]Designing Truthful Contextual Multi-Armed Bandits based Sponsored Search Auctions
    Kumar Abhishek, Shweta Jain, Sujit Gujar
    http://arxiv.org/abs/2002.11349v1

    • [cs.IR]AutoEmb: Automated Embedding Dimensionality Search in Streaming Recommendations
    Xiangyu Zhao, Chong Wang, Ming Chen, Xudong Zheng, Xiaobing Liu, Jiliang Tang
    http://arxiv.org/abs/2002.11252v1

    • [cs.IR]Ranking a set of objects: a graph based least-square approach
    Evgenia Christoforou, Alessandro Nordio, Alberto Tarable, Emilio Leonardi
    http://arxiv.org/abs/2002.11590v1

    • [cs.IT]A structural attack to the DME-(3,2,q) cryptosystem
    Martin Avendano, Miguel A. Marco-Buzunariz
    http://arxiv.org/abs/2002.10775v1

    • [cs.IT]Age-optimal Service and Decision Scheduling in Internet of Things
    Zhiwei Bao, Yunquan Dong, Zhengchuan Chen, Pingyi Fan, Khaled B. Letaief
    http://arxiv.org/abs/2002.11283v1

    • [cs.IT]Composite Matrices from Group Rings, Composite G-Codes and Constructions of Self-Dual Codes
    Steven T. Dougherty, Joe Gildea, Adrian Korban, Abidin Kaya
    http://arxiv.org/abs/2002.11614v1

    • [cs.IT]Minimax Optimal Estimation of KL Divergence for Continuous Distributions
    Puning Zhao, Lifeng Lai
    http://arxiv.org/abs/2002.11599v1

    • [cs.IT]Mobility and Blockage-aware Communications in Millimeter-Wave Vehicular Networks
    Muddassar Hussain, Maria Scalabrin, Michele Rossi, Nicolo Michelusi
    http://arxiv.org/abs/2002.11210v1

    • [cs.IT]Performance Analysis of Indoor mmWave Networks with Ceiling-Mounted Access Points
    Fadhil Firyaguna, Jacek Kibilda, Carlo Galiotto, Nicola Marchetti
    http://arxiv.org/abs/2002.11407v1

    • [cs.IT]Polar-Slotted ALOHA over Slot Erasure Channels
    Zhijun Zhang, Kai Niu, Jincheng Dai, Chao Dong
    http://arxiv.org/abs/2002.11386v1

    • [cs.IT]Refined Strong Converse for the Constant Composition Codes
    Hao-Chung Cheng, Baris Nakiboglu
    http://arxiv.org/abs/2002.11414v1

    • [cs.IT]Symmetric uncoded caching schemes with low subpacketization levels
    Tai Do Duc, Shuo Shao, Chaoping Xing
    http://arxiv.org/abs/2002.11383v1

    • [cs.IT]Ultra Reliable Communication via Optimum Power Allocation for HARQ Retransmission Schemes
    Endrit Dosti, Mohammad Shehab, Hirley Alves, Matti Latva-aho
    http://arxiv.org/abs/2002.11524v1

    • [cs.LG]A Sample Complexity Separation between Non-Convex and Convex Meta-Learning
    Nikunj Saunshi, Yi Zhang, Mikhail Khodak, Sanjeev Arora
    http://arxiv.org/abs/2002.11172v1

    • [cs.LG]A Survey towards Federated Semi-supervised Learning
    Yilun Jin, Xiguang Wei, Yang Liu, Qiang Yang
    http://arxiv.org/abs/2002.11545v1

    • [cs.LG]Attacks Which Do Not Kill Training Make Adversarial Learning Stronger
    Jingfeng Zhang, Xilie Xu, Bo Han, Gang Niu, Lizhen Cui, Masashi Sugiyama, Mohan Kankanhalli
    http://arxiv.org/abs/2002.11242v1

    • [cs.LG]CLARA: Clinical Report Auto-completion
    Siddharth Biswal, Cao Xiao, Lucas M. Glass, M. Brandon Westover, Jimeng Sun
    http://arxiv.org/abs/2002.11701v1

    • [cs.LG]Complete Dictionary Learning via $\ell_p$-norm Maximization
    Yifei Shen, Ye Xue, Jun Zhang, Khaled B. Letaief, Vincent Lau
    http://arxiv.org/abs/2002.10043v2

    • [cs.LG]Convergence to Second-Order Stationarity for Non-negative Matrix Factorization: Provably and Concurrently
    Ioannis Panageas, Stratis Skoulakis, Antonios Varvitsiotis, Xiao Wang
    http://arxiv.org/abs/2002.11323v1

    • [cs.LG]Convex Geometry and Duality of Over-parameterized Neural Networks
    Tolga Ergen, Mert Pilanci
    http://arxiv.org/abs/2002.11219v1

    • [cs.LG]Corrupted Multidimensional Binary Search: Learning in the Presence of Irrational Agents
    Akshay Krishnamurthy, Thodoris Lykouris, Chara Podimata
    http://arxiv.org/abs/2002.11650v1

    • [cs.LG]DLSpec: A Deep Learning Task Exchange Specification
    Abdul Dakkak, Cheng Li, Jinjun Xiong, Wen-Mei Hwu
    http://arxiv.org/abs/2002.11262v1

    • [cs.LG]DNN-Chip Predictor: An Analytical Performance Predictor for DNN Accelerators with Various Dataflows and Hardware Architectures
    Yang Zhao, Chaojian Li, Yue Wang, Pengfei Xu, Yongan Zhang, Yingyan Lin
    http://arxiv.org/abs/2002.11270v1

    • [cs.LG]DeBayes: a Bayesian method for debiasing network embeddings
    Maarten Buyl, Tijl De Bie
    http://arxiv.org/abs/2002.11442v1

    • [cs.LG]Decidability of Sample Complexity of PAC Learning in finite setting
    Alberto Gandolfi
    http://arxiv.org/abs/2002.11519v1

    • [cs.LG]Deep Learning and Statistical Models for Time-Critical Pedestrian Behaviour Prediction
    Joel Janek Dabrowski, Johan Pieter de Villiers, Ashfaqur Rahman, Conrad Beyers
    http://arxiv.org/abs/2002.11226v1

    • [cs.LG]Differentially Private Mean Embeddings with Random Features (DP-MERF) for Simple & Practical Synthetic Data Generation
    Frederik Harder, Kamil Adamczewski, Mijung Park
    http://arxiv.org/abs/2002.11603v1

    • [cs.LG]Dual Graph Representation Learning
    Huiling Zhu, Xin Luo, Hankz Hankui Zhuo
    http://arxiv.org/abs/2002.11501v1

    • [cs.LG]Dynamic Incentive-aware Learning: Robust Pricing in Contextual Auctions
    Negin Golrezaei, Adel Javanmard, Vahab Mirrokni
    http://arxiv.org/abs/2002.11137v1

    • [cs.LG]Efficient Rollout Strategies for Bayesian Optimization
    Eric Hans Lee, David Eriksson, Bolong Cheng, Michael McCourt, David Bindel
    http://arxiv.org/abs/2002.10539v2

    • [cs.LG]EmbPred30: Assessing 30-days Readmission for Diabetic Patients using Categorical Embeddings
    Sarthak, Shikhar Shukla, Surya Prakash Tripathi
    http://arxiv.org/abs/2002.11215v1

    • [cs.LG]Fair Learning with Private Demographic Data
    Hussein Mozannar, Mesrob I. Ohannessian, Nathan Srebro
    http://arxiv.org/abs/2002.11651v1

    • [cs.LG]Generalized Hindsight for Reinforcement Learning
    Alexander C. Li, Lerrel Pinto, Pieter Abbeel
    http://arxiv.org/abs/2002.11708v1

    • [cs.LG]Invariance vs. Robustness of Neural Networks
    Sandesh Kamath, Amit Deshpande, K V Subrahmanyam
    http://arxiv.org/abs/2002.11318v1

    • [cs.LG]Learning Navigation Costs from Demonstration in Partially Observable Environments
    Tianyu Wang, Vikas Dhiman, Nikolay Atanasov
    http://arxiv.org/abs/2002.11637v1

    • [cs.LG]Lipschitz standardization for robust multivariate learning
    Adrián Javaloy, Isabel Valera
    http://arxiv.org/abs/2002.11369v1

    • [cs.LG]NestedVAE: Isolating Common Factors via Weak Supervision
    Matthew J. Vowels, Necati Cihan Camgoz, Richard Bowden
    http://arxiv.org/abs/2002.11576v1

    • [cs.LG]NeuralSens: Sensitivity Analysis of Neural Networks
    J. Pizarroso, J. Portela, A. Muñoz
    http://arxiv.org/abs/2002.11423v1

    • [cs.LG]Non-Asymptotic Bounds for Zeroth-Order Stochastic Optimization
    Nirav Bhavsar, Prashanth L A
    http://arxiv.org/abs/2002.11440v1

    • [cs.LG]Nonlinear classifiers for ranking problems based on kernelized SVM
    Václav Mácha, Lukáš Adam, Václav Šmídl
    http://arxiv.org/abs/2002.11436v1

    • [cs.LG]Overfitting in adversarially robust deep learning
    Leslie Rice, Eric Wong, J. Zico Kolter
    http://arxiv.org/abs/2002.11569v1

    • [cs.LG]PHS: A Toolbox for Parellel Hyperparameter Search
    Peter Michael Habelitz, Janis Keuper
    http://arxiv.org/abs/2002.11429v1

    • [cs.LG]PaDGAN: A Generative Adversarial Network for Performance Augmented Diverse Designs
    Wei Chen, Faez Ahmed
    http://arxiv.org/abs/2002.11304v1

    • [cs.LG]Provable Meta-Learning of Linear Representations
    Nilesh Tripuraneni, Chi Jin, Michael I. Jordan
    http://arxiv.org/abs/2002.11684v1

    • [cs.LG]Randomization matters. How to defend against strong adversarial attacks
    Rafael Pinot, Raphael Ettedgui, Geovani Rizk, Yann Chevaleyre, Jamal Atif
    http://arxiv.org/abs/2002.11565v1

    • [cs.LG]Recommendation on a Budget: Column Space Recovery from Partially Observed Entries with Random or Active Sampling
    C. Kim, M. Bayati
    http://arxiv.org/abs/2002.11589v1

    • [cs.LG]Relevant-features based Auxiliary Cells for Energy Efficient Detection of Natural Errors
    Sai Aparna Aketi, Priyadarshini Panda, Kaushik Roy
    http://arxiv.org/abs/2002.11052v2

    • [cs.LG]Reliable Estimation of Kullback-Leibler Divergence by Controlling Discriminator Complexity in the Reproducing Kernel Hilbert Space
    Sandesh Ghimire, Prashnna K Gyawali, Linwei Wang
    http://arxiv.org/abs/2002.11187v1

    • [cs.LG]Rethinking Bias-Variance Trade-off for Generalization of Neural Networks
    Zitong Yang, Yaodong Yu, Chong You, Jacob Steinhardt, Yi Ma
    http://arxiv.org/abs/2002.11328v1

    • [cs.LG]Sparse Sinkhorn Attention
    Yi Tay, Dara Bahri, Liu Yang, Donald Metzler, Da-Cheng Juan
    http://arxiv.org/abs/2002.11296v1

    • [cs.LG]Structured Linear Contextual Bandits: A Sharp and Geometric Smoothed Analysis
    Vidyashankar Sivakumar, Zhiwei Steven Wu, Arindam Banerjee
    http://arxiv.org/abs/2002.11332v1

    • [cs.LG]Supervised Categorical Metric Learning with Schatten p-Norms
    Xuhui Fan, Eric Gaussier
    http://arxiv.org/abs/2002.11246v1

    • [cs.LG]TxSim:Modeling Training of Deep Neural Networks on Resistive Crossbar Systems
    Sourjya Roy, Shrihari Sridharan, Shubham Jain, Anand Raghunathan
    http://arxiv.org/abs/2002.11151v1

    • [cs.LG]Understanding Self-Training for Gradual Domain Adaptation
    Ananya Kumar, Tengyu Ma, Percy Liang
    http://arxiv.org/abs/2002.11361v1

    • [cs.LG]When Do Drivers Concentrate? Attention-based Driver Behavior Modeling With Deep Reinforcement Learning
    Xingbo Fu, Xuan Di, Zhaobin Mo
    http://arxiv.org/abs/2002.11385v1

    • [cs.MA]RMB-DPOP: Refining MB-DPOP by Reducing Redundant Inferences
    Ziyu Chen, Wenxin Zhang, Yanchen Deng, Dingding Chen, Qing Li
    http://arxiv.org/abs/2002.10641v1

    • [cs.NE]Inceptive Event Time-Surfaces for Object Classification Using Neuromorphic Cameras
    R Wes Baldwin, Mohammed Almatrafi, Jason R Kaufman, Vijayan Asari, Keigo Hirakawa
    http://arxiv.org/abs/2002.11656v1

    • [cs.NI]IoT Based Real Time Noise Mapping System for Urban Sound Pollution Study
    Sakib Ahmed, Touseef Saleh Bin Ahmed, Sumaiya Jafreen, Jannatul Tajrin, Jia Uddin
    http://arxiv.org/abs/2002.11188v1

    • [cs.RO]Efficient reinforcement learning control for continuum robots based on Inexplicit Prior Knowledge
    Junjia Liu, Jiaying Shou, Zhuang Fu, Hangfei Zhou, Rongli Xie, Jun Zhang, Jian Fei, Yanna Zhao
    http://arxiv.org/abs/2002.11573v1

    • [cs.RO]Fail-safe Flight of a Fully-Actuated Quadcopter in a Single Motor Failure
    Seung Jae Lee, Inkyu Jang, H. Jin Kim
    http://arxiv.org/abs/2002.11326v1

    • [cs.RO]From Seeing to Moving: A Survey on Learning for Visual Indoor Navigation (VIN)
    Xin Ye, Yezhou Yang
    http://arxiv.org/abs/2002.11310v1

    • [cs.RO]Least Squares Optimization: from Theory to Practice
    Giorgio Grisetti, Tiziano Guadagnino, Irvin Aloise, Mirco Colosi, Bartolomeo Della Corte, Dominik Schlegel
    http://arxiv.org/abs/2002.11051v2

    • [cs.RO]Linear-Time Variational Integrators in Maximal Coordinates
    Jan Brüdigam, Zachary Manchester
    http://arxiv.org/abs/2002.11245v1

    • [cs.RO]Mid-flight Propeller Failure Detection and Control of Propeller-deficient Quadcopter using Reinforcement Learning
    Rohitkumar Arasanipalai, Aakriti Agrawal, Debasish Ghose
    http://arxiv.org/abs/2002.11564v1

    • [cs.RO]Probabilistic approach to physical object disentangling
    Joni Pajarinen, Oleg Arenz, Jan Peters, Gerhard Neumann
    http://arxiv.org/abs/2002.11495v1

    • [cs.SD]An Open-set Recognition and Few-Shot Learning Dataset for Audio Event Classification in Domestic Environments
    Javier Naranjo-Alcazar, Sergi Perez-Castanos, Pedro Zuccarrello, Maximo Cobos
    http://arxiv.org/abs/2002.11561v1

    • [cs.SI]An Information Diffusion Approach to Rumor Propagation and Identification on Twitter
    Abiola Osho, Caden Waters, George Amariucai
    http://arxiv.org/abs/2002.11104v1

    • [cs.SI]Computing the Value of Spatio-Temporal Data in Wholesale and Retail Data Marketplaces
    Santiago Andres Azcoitia, Marius Paraschiv, Nikolaos Laoutaris
    http://arxiv.org/abs/2002.11193v1

    • [cs.SI]MGA: Momentum Gradient Attack on Network
    Jinyin Chen, Yixian Chen, Haibin Zheng, Shijing Shen, Shanqing Yu, Dan Zhang, Qi Xuan
    http://arxiv.org/abs/2002.11320v1

    • [cs.SI]Network Representation Learning for Link Prediction: Are we improving upon simple heuristics?
    Alexandru Mara, Jefrey Lijffijt, Tijl De Bie
    http://arxiv.org/abs/2002.11522v1

    • [cs.SI]Who is the Centre of the Movie Universe? Using Python and NetworkX to Analyse the Social Network of Movie Stars
    Rhyd Lewis
    http://arxiv.org/abs/2002.11103v1

    • [eess.AS]A Density Ratio Approach to Language Model Fusion in End-To-End Automatic Speech Recognition
    Erik McDermott, Hasim Sak, Ehsan Variani
    http://arxiv.org/abs/2002.11268v1

    • [eess.IV]Automatically Searching for U-Net Image Translator Architecture
    Han Shu, Yunhe Wang
    http://arxiv.org/abs/2002.11581v1

    • [eess.IV]CheXpedition: Investigating Generalization Challenges for Translation of Chest X-Ray Algorithms to the Clinical Setting
    Pranav Rajpurkar, Anirudh Joshi, Anuj Pareek, Phil Chen, Amirhossein Kiani, Jeremy Irvin, Andrew Y. Ng, Matthew P. Lungren
    http://arxiv.org/abs/2002.11379v1

    • [eess.IV]Force-Ultrasound Fusion: Bringing Spine Robotic-US to the Next “Level”
    Maria Tirindelli, Maria Victorova, Javier Esteban, Seong Tae Kim, David Navarro-Alarcon, Yong Ping Zheng, Nassir Navab
    http://arxiv.org/abs/2002.11404v1

    • [eess.IV]Region of Interest Identification for Brain Tumors in Magnetic Resonance Images
    Fateme Mostafaie, Reihaneh Teimouri, Zahra Nabizadeh, Nader Karimi, Shadrokh Samavi
    http://arxiv.org/abs/2002.11509v1

    • [eess.IV]Unpaired Image Super-Resolution using Pseudo-Supervision
    Shunta Maeda
    http://arxiv.org/abs/2002.11397v1

    • [eess.SP]Adaptive Multi-Receiver Coded Slotted ALOHA for Indoor Optical Wireless Communications
    Dejan Vukobratovic, Francisco J. Escribano
    http://arxiv.org/abs/2002.10569v1

    • [eess.SP]Analytical Equations based Prediction Approach for PM2.5 using Artificial Neural Network
    Jalpa Shah, Biswajit Mishra
    http://arxiv.org/abs/2002.11416v1

    • [eess.SP]Concatenated Convolution-Polar codes over Rayleigh Channels degraded as Erasure Channels
    Mohammed Usman
    http://arxiv.org/abs/2002.11249v1

    • [eess.SP]Learning Product Graphs Underlying Smooth Graph Signals
    Muhammad Asad Lodhi, Waheed U. Bajwa
    http://arxiv.org/abs/2002.11277v1

    • [eess.SP]Multi-frequency calibration for DOA estimation with distributed sensors
    Martin Brossard, Virginie Ollier, Mohammed Nabil El Korso, Rémy Boyer, Pascal Larzabal
    http://arxiv.org/abs/2002.11498v1

    • [eess.SY]Calculations of System Adequacy Considering Heat Transition Pathways
    Matthew Deakin, Sarah Sheehy, David M. Greenwood, Sara Walker, Phil C. Taylor
    http://arxiv.org/abs/2002.11570v1

    • [math.DS]Assignment Flows for Data Labeling on Graphs: Convergence and Stability
    Artjom Zern, Alexander Zeilmann, Christoph Schnörr
    http://arxiv.org/abs/2002.11571v1

    • [math.NA]Numerical Solution of Inverse Problems by Weak Adversarial Networks
    Gang Bao, Xiaojing Ye, Yaohua Zang, Haomin Zhou
    http://arxiv.org/abs/2002.11340v1

    • [math.OC]Acceleration for Compressed Gradient Descent in Distributed and Federated Optimization
    Zhize Li, Dmitry Kovalev, Xun Qian, Peter Richtárik
    http://arxiv.org/abs/2002.11364v1

    • [math.OC]Distributed Algorithms for Composite Optimization: Unified and Tight Convergence Analysis
    Jinming Xu, Ye Tian, Ying Sun, Gesualdo Scutari
    http://arxiv.org/abs/2002.11534v1

    • [math.OC]Efficient algorithms for multivariate shape-constrained convex regression problems
    Meixia Lin, Defeng Sun, Kim-Chuan Toh
    http://arxiv.org/abs/2002.11410v1

    • [math.OC]Proximal Gradient Algorithm with Momentum and Flexible Parameter Restart for Nonconvex Optimization
    Yi Zhou, Zhe Wang, Kaiyi Ji, Yingbin Liang, Vahid Tarokh
    http://arxiv.org/abs/2002.11582v1

    • [math.PR]A CLT in Stein’s distance for generalized Wishart matrices and higher order tensors
    Dan Mikulincer
    http://arxiv.org/abs/2002.10846v1

    • [math.ST]A Balancing Weight Framework for Estimating the Causal Effect of General Treatments
    Guillaume Martinet
    http://arxiv.org/abs/2002.11276v1

    • [math.ST]A Visual Sensitivity Analysis for Parameter-Augmented Ensembles of Curves
    Alejandro Ribes, Joachim Pouderoux, Bertrand Iooss
    http://arxiv.org/abs/2002.11475v1

    • [math.ST]A short note on learning discrete distributions
    Clément L. Canonne
    http://arxiv.org/abs/2002.11457v1

    • [math.ST]Aggregated hold out for sparse linear regression with a robust loss function
    Guillaume Maillard
    http://arxiv.org/abs/2002.11553v1

    • [math.ST]An Optimal Statistical and Computational Framework for Generalized Tensor Estimation
    Rungang Han, Rebecca Willett, Anru Zhang
    http://arxiv.org/abs/2002.11255v1

    • [math.ST]Extremes of Censored and Uncensored Lifetimes in Survival Data
    Ross A. Maller, Sidney I. Resnick
    http://arxiv.org/abs/2002.11239v1

    • [math.ST]Scientific versus statistical modelling: a unifying approach
    Tae Yoon Lee, James V. Zidek
    http://arxiv.org/abs/2002.11259v1

    • [physics.ao-ph]Data-driven super-parameterization using deep learning: Experimentation with multi-scale Lorenz 96 systems and transfer-learning
    Ashesh Chattopadhyay, Adam Subel, Pedram Hassanzadeh
    http://arxiv.org/abs/2002.11167v1

    • [physics.comp-ph]Machine Learning based prediction of noncentrosymmetric crystal materials
    Yuqi Song, Joseph Lindsay, Yong Zhao, Alireza Nasiri, Steph-Yves Loius, Jie Ling, Ming Hu, Jianjun Hu
    http://arxiv.org/abs/2002.11295v1

    • [physics.soc-ph]Lying on networks: The role of structure and topology in promoting honesty
    Valerio Capraro, Matjaz Perc, Daniele Vilone
    http://arxiv.org/abs/2002.11034v1

    • [q-bio.NC]A Quantized Representation of Intertemporal Choice in the Brain
    James Tee, Desmond P. Taylor
    http://arxiv.org/abs/2002.10882v1

    • [q-bio.PE]The Moran Genealogy Process
    Aaron A. King, Qianying Lin, Edward L. Ionides
    http://arxiv.org/abs/2002.11184v1

    • [q-fin.CP]Fast Lower and Upper Estimates for the Price of Constrained Multiple Exercise American Options by Single Pass Lookahead Search and Nearest-Neighbor Martingale
    Nicolas Essis-Breton, Patrice Gaillardetz
    http://arxiv.org/abs/2002.11258v1

    • [stat.AP]Correspondence Analysis between the Location and the Leading Causes of Death in the United States
    Rena Sandy H. Baculinao, Roel F. Ceballos
    http://arxiv.org/abs/2002.11243v1

    • [stat.AP]Enforcing Mean Reversion in State Space Models for Prawn Pond Water Quality Forecasting
    Joel Janek Dabrowski, Ashfaqur Rahman, Daniel Edward Pagendam, Andrew George
    http://arxiv.org/abs/2002.11228v1

    • [stat.CO]Towards new cross-validation-based estimators for Gaussian process regression: efficient adjoint computation of gradients
    Sébastien Petit, Julien Bect, Sébastien da Veiga, Paul Feliot, Emmanuel Vazquez
    http://arxiv.org/abs/2002.11543v1

    • [stat.ME]Classical and Bayesian Analyses of a Mixture of Exponential and Lomax Distributions
    Maqsood Ali, Abdul Haq, Muhammad Aslam
    http://arxiv.org/abs/2002.11204v1

    • [stat.ME]Paired Comparisons Modeling using t-Distribution with Bayesian Analysis
    Maqsood Ali, Muhammad Aslam
    http://arxiv.org/abs/2002.11236v1

    • [stat.ML]A Comparative Study of Machine Learning Models for Predicting the State of Reactive Mixing
    B. Ahmmed, M. K. Mudunuru, S. Karra, S. C. James, V. V. Vesselinov
    http://arxiv.org/abs/2002.11511v1

    • [stat.ML]A general framework for ensemble distribution distillation
    Jakob Lindqvist, Amanda Olmin, Fredrik Lindsten, Lennart Svensson
    http://arxiv.org/abs/2002.11531v1

    • [stat.ML]Adversarial Monte Carlo Meta-Learning of Optimal Prediction Procedures
    Alex Luedtke, Incheoul Chung, Oleg Sofrygin
    http://arxiv.org/abs/2002.11275v1

    • [stat.ML]Automated Augmented Conjugate Inference for Non-conjugate Gaussian Process Models
    Théo Galy-Fajou, Florian Wenzel, Manfred Opper
    http://arxiv.org/abs/2002.11451v1

    • [stat.ML]Bayesian Nonparametric Space Partitions: A Survey
    Xuhui Fan, Bin Li, Ling Luo, Scott A. Sisson
    http://arxiv.org/abs/2002.11394v1

    • [stat.ML]Device Heterogeneity in Federated Learning: A Superquantile Approach
    Yassine Laguel, Krishna Pillutla, Jérôme Malick, Zaid Harchaoui
    http://arxiv.org/abs/2002.11223v1

    • [stat.ML]Fundamental Issues Regarding Uncertainties in Artificial Neural Networks
    Neil A. Thacker, Carole J. Twining, Paul D. Tar, Scott Notley, Visvanathan Ramesh
    http://arxiv.org/abs/2002.11152v1

    • [stat.ML]ICE-BeeM: Identifiable Conditional Energy-Based Deep Models
    Ilyes Khemakhem, Ricardo Pio Monti, Diederik P. Kingma, Aapo Hyvärinen
    http://arxiv.org/abs/2002.11537v1

    • [stat.ML]Incorporating Expert Prior Knowledge into Experimental Design via Posterior Sampling
    Cheng Li, Sunil Gupta, Santu Rana, Vu Nguyen, Antonio Robles-Kelly, Svetha Venkatesh
    http://arxiv.org/abs/2002.11256v1

    • [stat.ML]Information Directed Sampling for Linear Partial Monitoring
    Johannes Kirschner, Tor Lattimore, Andreas Krause
    http://arxiv.org/abs/2002.11182v1

    • [stat.ML]Off-Policy Evaluation and Learning for External Validity under a Covariate Shift
    Masahiro Kato, Masatoshi Uehara, Shota Yasui
    http://arxiv.org/abs/2002.11642v1

    • [stat.ML]Predicting Neural Network Accuracy from Weights
    Thomas Unterthiner, Daniel Keysers, Sylvain Gelly, Olivier Bousquet, Ilya Tolstikhin
    http://arxiv.org/abs/2002.11448v1

    • [stat.ML]Profile Entropy: A Fundamental Measure for the Learnability and Compressibility of Discrete Distributions
    Yi Hao, Alon Orlitsky
    http://arxiv.org/abs/2002.11665v1

    • [stat.ML]Revisiting Ensembles in an Adversarial Context: Improving Natural Accuracy
    Aditya Saligrama, Guillaume Leclerc
    http://arxiv.org/abs/2002.11572v1

    • [stat.ML]Smoothing Graphons for Modelling Exchangeable Relational Data
    Xuhui Fan, Yaqiong Li, Ling Chen, Bin Li, Scott A. Sisson
    http://arxiv.org/abs/2002.11159v1

    • [stat.ML]Stagewise Enlargement of Batch Size for SGD-based Learning
    Shen-Yi Zhao, Yin-Peng Xie, Wu-Jun Li
    http://arxiv.org/abs/2002.11601v1

    • [stat.ML]The role of regularization in classification of high-dimensional noisy Gaussian mixture
    Francesca Mignacco, Florent Krzakala, Yue M. Lu, Lenka Zdeborová
    http://arxiv.org/abs/2002.11544v1

    • [stat.OT]Liquid Scorecards
    Bruce Hoadley

    http://arxiv.org/abs/2002.11610v1