cond-mat.stat-mech - 统计数学

    cs.AI - 人工智能 cs.CE - 计算工程、 金融和科学 cs.CL - 计算与语言 cs.CR - 加密与安全 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DC - 分布式、并行与集群计算 cs.DS - 数据结构与算法 cs.FL - 形式语言与自动机理论 cs.GR - 计算机图形学 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.LO - 计算逻辑 cs.MS - 数学软件 cs.NE - 神经与进化计算 cs.NI - 网络和互联网体系结构 cs.PF - 计算性能 cs.RO - 机器人学 cs.SE - 软件工程 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.DG - 微分几何 math.NA - 数值分析 math.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 physics.comp-ph - 计算物理学 physics.ed-ph - 物理教育 physics.ins-det - 仪器和探测器 physics.med-ph - 医学物理学 physics.soc-ph - 物理学与社会 q-bio.NC - 神经元与认知 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.stat-mech]Learning entropy production via neural networks
    • [cs.AI]Adversarial Machine Learning: Perspectives from Adversarial Risk Analysis
    • [cs.AI]BitTensor: An Intermodel Intelligence Measure
    • [cs.AI]Integrating Acting, Planning and Learning in Hierarchical Operational Models
    • [cs.AI]Interactive Constrained MAP-Elites Analysis and Evaluation of the Expressiveness of the Feature Dimensions
    • [cs.AI]Knowledge Graphs and Knowledge Networks: The Story in Brief
    • [cs.AI]Online Residential Demand Response via Contextual Multi-Armed Bandits
    • [cs.AI]Overview of the CCKS 2019 Knowledge Graph Evaluation Track: Entity, Relation, Event and QA
    • [cs.CE]Enhancing Industrial X-ray Tomography by Data-Centric Statistical Methods
    • [cs.CL]A Multi-Source Entity-Level Sentiment Corpus for the Financial Domain: The FinLin Corpus
    • [cs.CL]A Post-processing Method for Detecting Unknown Intent of Dialogue System via Pre-trained Deep Neural Network Classifier
    • [cs.CL]An Empirical Investigation of Pre-Trained Transformer Language Models for Open-Domain Dialogue Generation
    • [cs.CL]Discovering linguistic (ir)regularities in word embeddings through max-margin separating hyperplanes
    • [cs.CL]ECSP: A New Task for Emotion-Cause Span-Pair Extraction and Classification
    • [cs.CL]General-Purpose Communicative Function Recognition using a Hierarchical Network with Cascading Outputs and Maximum a Posteriori Path Estimation
    • [cs.CL]Generating Emotionally Aligned Responses in Dialogues using Affect Control Theory
    • [cs.CL]Investigating the Decoders of Maximum Likelihood Sequence Models: A Look-ahead Approach
    • [cs.CL]Keeping it simple: Implementation and performance of the proto-principle of adaptation and learning in the language sciences
    • [cs.CL]Multi-task Learning Based Neural Bridging Reference Resolution
    • [cs.CL]NYTWIT: A Dataset of Novel Words in the New York Times
    • [cs.CL]Natural Language QA Approaches using Reasoning with External Knowledge
    • [cs.CL]Pseudo Labeling and Negative Feedback Learning for Large-scale Multi-label Domain Classification
    • [cs.CL]Sentence Analogies: Exploring Linguistic Relationships and Regularities in Sentence Embeddings
    • [cs.CL]Shallow Discourse Annotation for Chinese TED Talks
    • [cs.CL]Synthetic Error Dataset Generation Mimicking Bengali Writing Pattern
    • [cs.CL]The growing echo chamber of social media: Measuring temporal and social contagion dynamics for over 150 languages on Twitter for 2009—2020
    • [cs.CR]Attacking the DeFi Ecosystem with Flash Loans for Fun and Profit
    • [cs.CR]Dynamic Backdoor Attacks Against Machine Learning Models
    • [cs.CR]Secure Cloud Storage with Client-Side Encryption Using a Trusted Execution Environment
    • [cs.CR]TEDL: A Text Encryption Method Based on Deep Learning
    • [cs.CR]Towards Probabilistic Verification of Machine Unlearning
    • [cs.CV]A Benchmark for Temporal Color Constancy
    • [cs.CV]A Multi-scale CNN-CRF Framework for Environmental Microorganism Image Segmentation
    • [cs.CV]A Strong Baseline for Fashion Retrieval with Person Re-Identification Models
    • [cs.CV]A Tracking System For Baseball Game Reconstruction
    • [cs.CV]Accurate Temporal Action Proposal Generation with Relation-Aware Pyramid Network
    • [cs.CV]Active Fine-Tuning from gMAD Examples Improves Blind Image Quality Assessment
    • [cs.CV]Adaptive Offline Quintuplet Loss for Image-Text Matching
    • [cs.CV]Adaptive Semantic-Visual Tree for Hierarchical Embeddings
    • [cs.CV]AlphaNet: An Attention Guided Deep Network for Automatic Image Matting
    • [cs.CV]An Empirical Evaluation on Robustness and Uncertainty of Regularization Methods
    • [cs.CV]Better Captioning with Sequence-Level Exploration
    • [cs.CV]BiDet: An Efficient Binarized Object Detector
    • [cs.CV]BirdNet+: End-to-End 3D Object Detection in LiDAR Bird’s Eye View
    • [cs.CV]CPM R-CNN: Calibrating Point-guided Misalignment in Object Detection
    • [cs.CV]Cascaded Human-Object Interaction Recognition
    • [cs.CV]Cross-Modal Food Retrieval: Learning a Joint Embedding of Food Images and Recipes with Semantic Consistency and Attention Mechanism
    • [cs.CV]Cross-View Tracking for Multi-Human 3D Pose Estimation at over 100 FPS
    • [cs.CV]Cross-modal Learning for Multi-modal Video Categorization
    • [cs.CV]Crowd Counting via Hierarchical Scale Recalibration Network
    • [cs.CV]DADA: Differentiable Automatic Data Augmentation
    • [cs.CV]DASNet: Dual attentive fully convolutional siamese networks for change detection of high resolution satellite images
    • [cs.CV]Deconfounded Image Captioning: A Causal Retrospect
    • [cs.CV]Dense Dilated Convolutions Merging Network for Land Cover Classification
    • [cs.CV]Distilling portable Generative Adversarial Networks for Image Translation
    • [cs.CV]Domain Adversarial Training for Infrared-colour Person Re-Identification
    • [cs.CV]Domain-Specific Image Super-Resolution with Progressive Adversarial Network
    • [cs.CV]Embedding Propagation: Smoother Manifold for Few-Shot Classification
    • [cs.CV]FarSee-Net: Real-Time Semantic Segmentation by Efficient Multi-scale Context Aggregation and Feature Space Super-resolution
    • [cs.CV]Faster ILOD: Incremental Learning for Object Detectors based on Faster
    484f
    RCNN
    • [cs.CV]Fine-Grained Visual Classification via Progressive Multi-Granularity Training of Jigsaw Patches
    • [cs.CV]FoCL: Feature-Oriented Continual Learning for Generative Models
    • [cs.CV]Generative Low-bitwidth Data Free Quantization
    • [cs.CV]Hierarchical Kinematic Human Mesh Recovery
    • [cs.CV]IMRAM: Iterative Matching with Recurrent Attention Memory for Cross-Modal Image-Text Retrieval
    • [cs.CV]Improved Baselines with Momentum Contrastive Learning
    • [cs.CV]Inferring Spatial Uncertainty in Object Detection
    • [cs.CV]Knowledge distillation via adaptive instance normalization
    • [cs.CV]Learning Delicate Local Representations for Multi-Person Pose Estimation
    • [cs.CV]MCMC Guided CNN Training and Segmentation for Pancreas Extraction
    • [cs.CV]MatchingGAN: Matching-based Few-shot Image Generation
    • [cs.CV]Meta3D: Single-View 3D Object Reconstruction from Shape Priors in Memory
    • [cs.CV]Mind the Gap: Enlarging the Domain Gap in Open Set Domain Adaptation
    • [cs.CV]MobilePose: Real-Time Pose Estimation for Unseen Objects with Weak Shape Supervision
    • [cs.CV]Monocular 3D Object Detection in Cylindrical Images from Fisheye Cameras
    • [cs.CV]Motion-Attentive Transition for Zero-Shot Video Object Segmentation
    • [cs.CV]Multi-modal Self-Supervision from Generalized Data Transformations
    • [cs.CV]No Surprises: Training Robust Lung Nodule Detection for Low-Dose CT Scans by Augmenting with Adversarial Attacks
    • [cs.CV]Object-Oriented Video Captioning with Temporal Graph and Prior Knowledge Building
    • [cs.CV]On the Texture Bias for Few-Shot CNN Segmentation
    • [cs.CV]PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models
    • [cs.CV]Pacemaker: Intermediate Teacher Knowledge Distillation For On-The-Fly Convolutional Neural Network
    • [cs.CV]Pixel-In-Pixel Net: Towards Efficient Facial Landmark Detection in the Wild
    • [cs.CV]Pseudo-Convolutional Policy Gradient for Sequence-to-Sequence Lip-Reading
    • [cs.CV]ROSE: Real One-Stage Effort to Detect the Fingerprint Singular Point Based on Multi-scale Spatial Attention
    • [cs.CV]ReActNet: Towards Precise Binary Neural Network with Generalized Activation Functions
    • [cs.CV]Rectifying Pseudo Label Learning via Uncertainty Estimation for Domain Adaptive Semantic Segmentation
    • [cs.CV]Restore from Restored: Video Restoration with Pseudo Clean Video
    • [cs.CV]SOIC: Semantic Online Initialization and Calibration for LiDAR and Camera
    • [cs.CV]SalsaNext: Fast Semantic Segmentation of LiDAR Point Clouds for Autonomous Driving
    • [cs.CV]Searching Central Difference Convolutional Networks for Face Anti-Spoofing
    • [cs.CV]Semantic Change Pattern Analysis
    • [cs.CV]Semantic Object Prediction and Spatial Sound Super-Resolution with Binaural Sounds
    • [cs.CV]StyleGAN2 Distillation for Feed-forward Image Manipulation
    • [cs.CV]Super Resolution Using Segmentation-Prior Self-Attention Generative Adversarial Network
    • [cs.CV]TTPP: Temporal Transformer with Progressive Prediction for Efficient Action Anticipation
    • [cs.CV]Trajectory Grouping with Curvature Regularization for Tubular Structure Tracking
    • [cs.CV]Transferring Cross-domain Knowledge for Video Sign Language Recognition
    • [cs.CV]Transformation-based Adversarial Video Prediction on Large-Scale Data
    • [cs.CV]Unifying Specialist Image Embedding into Universal Image Embedding
    • [cs.CV]Weight mechanism adding a constant in concatenation of series connect
    • [cs.CV]When Person Re-identification Meets Changing Clothes
    • [cs.CV]iFAN: Image-Instance Full Alignment Networks for Adaptive Object Detection
    • [cs.CY]A Human-Centered Review of the Algorithms used within the U.S. Child Welfare System
    • [cs.CY]Modelling Human Active Search in Optimizing Black-box Functions
    • [cs.CY]The Residence History Inference Problem
    • [cs.DC]A machine learning environment for evaluating autonomous driving software
    • [cs.DC]Aion: Better Late than Never in Event-Time Streams
    • [cs.DC]Distributed Computation and Reconfiguration in Actively Dynamic Networks
    • [cs.DC]Distributed macroscopic traffic simulation with Open Traffic Models
    • [cs.DC]FedLoc: Federated Learning Framework for Cooperative Localization and Location Data Processing
    • [cs.DC]Hardware Architecture Proposal for TEDA algorithm to Data Streaming Anomaly Detection
    • [cs.DC]I-ViSE: Interactive Video Surveillance as an Edge Service using Unsupervised Feature Queries
    • [cs.DC]Lightweight Inter-transaction Caching with Precise Clocks and Dynamic Self-invalidation
    • [cs.DC]Serverless in the Wild: Characterizing and Optimizing the Serverless Workload at a Large Cloud Provider
    • [cs.DC]Step on the Gas? A Better Approach for Recommending the Ethereum Gas Price
    • [cs.DC]Stretching the capacity of Hardware Transactional Memory in IBM POWER architectures
    • [cs.DS]Adjacency Labelling for Planar Graphs (and Beyond)
    • [cs.FL]Dependently Typed Knowledge Graphs
    • [cs.GR]STD-Net: Structure-preserving and Topology-adaptive Deformation Network for 3D Reconstruction from a Single Image
    • [cs.IR]DeepLENS: Deep Learning for Entity Summarization
    • [cs.IR]ESBM: An Entity Summarization BenchMark
    • [cs.IR]Price-aware Recommendation with Graph Convolutional Networks
    • [cs.IT]Advanced Receiver Architectures for Millimeter Wave Communications with Low-Resolution ADCs
    • [cs.IT]Anti-Aging Scheduling in Single-Server Queues: A Systematic and Comparative Study
    • [cs.IT]Capacity of Continuous Channels with Memory via Directed Information Neural Estimator
    • [cs.IT]Design of SCMA Codebooks Using Differential Evolution
    • [cs.IT]MIMO Amplify-and-Forward Precoding for Networked Control Systems
    • [cs.IT]New Constructions of Complementary Sequence Pairs over $4^q$-QAM
    • [cs.IT]Outage Behaviors of NOMA-based Satellite Network over Shadowed-Rician Fading Channels
    • [cs.IT]Outage Probability Minimization for UAV-Enabled Data Collection with Distributed Beamforming
    • [cs.IT]Phase Transition Analysis for Covariance Based Massive Random Access with Massive MIMO
    • [cs.IT]Reinforcement Learning Based Cooperative Coded Caching under Dynamic Popularities in Ultra-Dense Networks
    • [cs.IT]Strong Secrecy for General Multiple-Access Wiretap Channels
    • [cs.IT]Study of Linear Precoding and Stream Combining for Rate Splitting in MU-MIMO Systems
    • [cs.LG]$Q^\star$ Approximation Schemes for Batch Reinforcement Learning: A Theoretical Comparison
    • [cs.LG]$Π-$nets: Deep Polynomial Neural Networks
    • [cs.LG]A Survey on The Expressive Power of Graph Neural Networks
    • [cs.LG]A working likelihood approach to support vector regression with a data-driven insensitivity parameter
    • [cs.LG]AL2: Progressive Activation Loss for Learning General Representations in Classification Neural Networks
    • [cs.LG]Adversarial Attacks on Probabilistic Autoregressive Forecasting Models
    • [cs.LG]An Active Learning Framework for Constructing High-fidelity Mobility Maps
    • [cs.LG]Approximate is Good Enough: Probabilistic Variants of Dimensional and Margin Complexity
    • [cs.LG]AutoML-Zero: Evolving Machine Learning Algorithms From Scratch
    • [cs.LG]COPT: Coordinated Optimal Transport on Graphs
    • [cs.LG]Causal Interpretability for Machine Learning — Problems, Methods and Evaluation
    • [cs.LG]Collaborative Learning of Semi-Supervised Clustering and Classification for Labeling Uncurated Data
    • [cs.LG]Columnwise Element Selection for Computationally Efficient Nonnegative Coupled Matrix Tensor Factorization
    • [cs.LG]Deep Inverse Feature Learning: A Representation Learning of Error
    • [cs.LG]Deep learning for prediction of population health costs
    • [cs.LG]Efficiency and Equity are Both Essential: A Generalized Traffic Signal Controller with Deep Reinforcement Learning
    • [cs.LG]Efficient Nonnegative Tensor Factorization via Saturating Coordinate Descent
    • [cs.LG]Explaining Knowledge Distillation by Quantifying the Knowledge
    • [cs.LG]Finding Input Characterizations for Output Properties in ReLU Neural Networks
    • [cs.LG]FormulaZero: Distributionally Robust Online Adaptation via Offline Population Synthesis
    • [cs.LG]Generative Adversarial Imitation Learning with Neural Networks: Global Optimality and Convergence Rate
    • [cs.LG]Geometry and Topology of Deep Neural Networks’ Decision Boundaries
    • [cs.LG]Gradient-based adversarial attacks on categorical sequence models via traversing an embedded world
    • [cs.LG]Graphs, Convolutions, and Neural Networks
    • [cs.LG]How to Train Your Super-Net: An Analysis of Training Heuristics in Weight-Sharing NAS
    • [cs.LG]Human AI interaction loop training: New approach for interactive reinforcement learning
    • [cs.LG]Improving Training on Noisy Stuctured Labels
    • [cs.LG]Inverse Feature Learning: Feature learning based on Representation Learning of Error
    • [cs.LG]Isolation Mondrian Forest for Batch and Online Anomaly Detection
    • [cs.LG]Learning discrete state abstractions with deep variational inference
    • [cs.LG]Metric Learning for Ordered Labeled Trees with pq-grams
    • [cs.LG]Modeling of Spatio-Temporal Hawkes Processes with Randomized Kernels
    • [cs.LG]Multivariate Boosted Trees and Applications to Forecasting and Control
    • [cs.LG]Nearly Optimal Risk Bounds for Kernel K-Means
    • [cs.LG]On the Robustness of Cooperative Multi-Agent Reinforcement Learning
    • [cs.LG]Progressive Growing of Neural ODEs
    • [cs.LG]RCC-Dual-GAN: An Efficient Approach for Outlier Detection with Few Identified Anomalies
    • [cs.LG]RNN-based Online Learning: An Efficient First-Order Optimization Algorithm with a Convergence Guarantee
    • [cs.LG]Reinforcement Learning for Combinatorial Optimization: A Survey
    • [cs.LG]Removing Disparate Impact of Differentially Private Stochastic Gradient Descent on Model Accuracy
    • [cs.LG]Risk Analysis of Divide-and-Conquer ERM
    • [cs.LG]Robust Learning from Discriminative Feature Feedback
    • [cs.LG]Scalable Approximate Inference and Some Applications
    • [cs.LG]Sets Clustering
    • [cs.LG]ShadowSync: Performing Synchronization in the Background for Highly Scalable Distributed Training
    • [cs.LG]Stable Policy Optimization via Off-Policy Divergence Regularization
    • [cs.LG]Supervised Domain Adaptation using Graph Embedding
    • [cs.LG]Temporal Attribute Prediction via Joint Modeling of Multi-Relational Structure Evolution
    • [cs.LG]Ternary Compression for Communication-Efficient Federated Learning
    • [cs.LG]The Variational InfoMax Learning Objective
    • [cs.LG]Variational Inference for Deep Probabilistic Canonical Correlation Analysis
    • [cs.LG]When can Wasserstein GANs minimize Wasserstein Distance?
    • [cs.LG]Wide-minima Density Hypothesis and the Explore-Exploit Learning Rate Schedule
    • [cs.LG]Zooming for Efficient Model-Free Reinforcement Learning in Metric Spaces
    • [cs.LO]A Uniform Treatment of Aggregates and Constraints in Hybrid ASP
    • [cs.MS]Flexible numerical optimization with ensmallen
    • [cs.NE]Influence of Initialization on the Performance of Metaheuristic Optimizers
    • [cs.NE]Nature-Inspired Optimization Algorithms: Challenges and Open Problems
    • [cs.NE]Real-World Airline Crew Pairing Optimization: Customized Genetic Algorithm versus Column Generation Method
    • [cs.NE]Shahryar Origami Optimization (SOO): A Novel Approach for Solving Large-scale Expensive Optimization Problems Efficiently
    • [cs.NE]Synaptic Metaplasticity in Binarized Neural Networks
    • [cs.NI]DeepCP: Deep Learning Driven Cascade Prediction Based Autonomous Content Placement in Closed Social Network
    • [cs.NI]Error Correction with Systematic RLNC in Multi-Channel THz Communication Systems
    • [cs.PF]Towards Green Computing: A Survey of Performance and Energy Efficiency of Different Platforms using OpenCL
    • [cs.RO]A Mathematical Framework for IMU Error Propagation with Applications to Preintegration
    • [cs.RO]An Intent-based Task-aware Shared Control Framework for Intuitive Object Telemanipulation
    • [cs.RO]Bayesian Particles on Cyclic Graphs
    • [cs.RO]Complexity of Planning
    • [cs.RO]DFVS: Deep Flow Guided Scene Agnostic Image Based Visual Servoing
    • [cs.RO]Deep Adversarial Reinforcement Learning for Object Disentangling
    • [cs.RO]Electronics-Free Pneumatic Logic Circuits for Localized Feedback Control of Multi-Actuator Soft Robots
    • [cs.RO]Experimental Comparison of Global Motion Planning Algorithms for Wheeled Mobile Robots
    • [cs.RO]Exploratory Study: Children’s with Autism Awareness of being Imitated by Nao Robot
    • [cs.RO]Fast Collision Probability Estimation Based on Finite-Dimensional Monte Carlo Method
    • [cs.RO]Geometry-aware Compensation Scheme for Morphing Drones
    • [cs.RO]Hybrid Actuator Design for a Gait Augmentation Wearable
    • [cs.RO]Learn and Transfer Knowledge of Preferred Assistance Strategies in Semi-autonomous Telemanipulation
    • [cs.RO]Online Dynamic Motion Planning and Control for Wheeled Biped Robots
    • [cs.RO]Online Self-Supervised Learning for Object Picking: Detecting Optimum Grasping Position using a Metric Learning Approach
    • [cs.RO]Overview of Tools Supporting Planning for Automated Driving
    • [cs.RO]Probabilistic Egocentric Motion Correction of Lidar Point Cloud and Projection to Camera Images for Moving Platforms
    • [cs.RO]Probabilistic Framework for Constrained Manipulations and Task and Motion Planning under Uncertainty
    • [cs.RO]Robust, Occlusion-aware Pose Estimation for Objects Grasped by Adaptive Hands
    • [cs.RO]Selecting and Designing Grippers for an Assembly Task in a Structured Approach
    • [cs.RO]Task-Motion Planning for Safe and Efficient Urban Driving
    • [cs.RO]Tightly-coupled Fusion of Global Positional Measurements in Optimization-based Visual-Inertial Odometry
    • [cs.RO]Transferable Task Execution from Pixels through Deep Planning Domain Learning
    • [cs.SE]PUMiner: Mining Security Posts from Developer Question and Answer Websites with PU Learning
    • [cs.SI]Discovering Strategic Behaviors for Collaborative Content-Production in Social Networks
    • [cs.SI]EMH: Extended Mixing H-index centrality for identification important users in social networks based on neighborhood diversity
    • [cs.SI]Friend Recommendation based on Hashtags Analysis
    • [cs.SI]Frozen Binomials on the Web: Word Ordering and Language Conventions in Online Text
    • [cs.SI]Graph Clustering Via QUBO and Digital Annealing
    • [cs.SI]Local Hypergraph Clustering using Capacity Releasing Diffusion
    • [cs.SI]Novel version of PageRank, CheiRank and 2DRank for Wikipedia in Multilingual Network using Social Impact
    • [cs.SI]The twitter explorer: a framework for observing Twitter through interactive networks
    • [cs.SI]Traffic networks are vulnerable to disinformation attacks
    • [eess.AS]Deep Neural Networks for Automatic Speech Processing: A Survey from Large Corpora to Limited Data
    • [eess.AS]Improving noise robust automatic speech recognition with single-channel time-domain enhancement network
    • [eess.AS]Tackling real noisy reverberant meetings with all-neural source separation, counting, and diarization system
    • [eess.AS]Toward Cross-Domain Speech Recognition with End-to-End Models
    • [eess.IV]Deep Learning Guided Undersampling Mask Design for MR Image Reconstruction
    • [eess.IV]Endoscopy disease detection challenge 2020
    • [eess.IV]Learned Spectral Computed Tomography
    • [eess.SP]Decentralized SGD with Over-the-Air Computation
    • [eess.SP]Sampling on Graphs: From Theory to Applications
    • [eess.SY]Staging energy sources to extend flight time of a multirotor UAV
    • [math.DG]Discrete Morse Theory, Persistent Homology and Forman-Ricci Curvature
    • [math.NA]Toeplitz Monte Carlo
    • [math.OC]Complete Hierarchy of Relaxation for Constrained Signomial Positivity
    • [math.OC]Convergence of Q-value in case of Gaussian rewards
    • [math.OC]Stochastic Modified Equations for Continuous Limit of Stochastic ADMM
    • [math.PR]Limiting distributions for eigenvalues of sample correlation matrices from heavy-tailed populations
    • [math.PR]The rencontre problem
    • [math.ST]Divided Differences, Falling Factorials, and Discrete Splines: Another Look at Trend Filtering and Related Problems
    • [math.ST]Information criteria for inhomogeneous spatial point processes
    • [math.ST]Local Power of Tests of Fit for Normality of Autoregression
    • [math.ST]Modeling temporally uncorrelated components for complex-valued stationary processes
    • [math.ST]Principal Moment Analysis
    • [math.ST]Spatial dependence and space-time trend in extreme events
    • [math.ST]When are Bayesian model probabilities overconfident?
    • [physics.comp-ph]CUBE — Towards an Optimal Scaling of Cosmological N-body Simulations
    • [physics.comp-ph]Discovering Symmetry Invariants and Conserved Quantities by Interpreting Siamese Neural Networks
    • [physics.comp-ph]Machine learning based non-Newtonian fluid model with molecular fidelity
    • [physics.ed-ph]Combining surveys and sensors to explore student behaviour
    • [physics.ins-det]Hybrid calibration procedure for fringe projection profilometry based on stereo-vision and polynomial fitting
    • [physics.med-ph]Novel Radiomic Feature for Survival Prediction of Lung Cancer Patients using Low-Dose CBCT Images
    • [physics.soc-ph]Ranking the spreading influence of nodes in complex networks based on mixing degree centrality and local structure
    • [q-bio.NC]Discrimination Among Multiple Cutaneous and Proprioceptive Hand Percepts Evoked by Nerve Stimulation with Utah Slanted Electrode Arrays in Human Amputees
    • [q-bio.NC]Spike-Timing-Dependent Inference of Synaptic Weights
    • [stat.AP]Cheap, robust and low carbon: comparing district heating scenarios using stochastic ordering
    • [stat.CO]A 1000-fold Acceleration of Hidden Markov Model Fitting using Graphical Processing Units, with application to Nonvolcanic Tremor Classification
    • [stat.CO]The Fast Loaded Dice Roller: A Near-Optimal Exact Sampler for Discrete Probability Distributions
    • [stat.CO]evgam: An R package for Generalized Additive Extreme Value Models
    • [stat.ME]An efficient Gehan-type estimation for the accelerated failure time model with clustered and censored data
    • [stat.ME]Assessment of Heterogeneous Treatment Effect Estimation Accuracy via Matching
    • [stat.ME]Differential Network Analysis: A Statistical Perspective
    • [stat.ME]Discovering contemporaneous and lagged causal relations in autocorrelated nonlinear time series datasets
    • [stat.ME]Ensemble Binary Segmentation for irregularly spaced data with change-points
    • [stat.ME]Exact Inference of Linear Dependence Between Multiple Autocorrelated Time Series
    • [stat.ME]Fast Bayesian Record Linkage With Record-Specific Disagreement Parameters
    • [stat.ME]High-dimensional, multiscale online changepoint detection
    • [stat.ME]The NuZZ: Numerical ZigZag Sampling for General Models
    • [stat.ML]Amortized variance reduction for doubly stochastic objectives
    • [stat.ML]Angle-Based Cost-Sensitive Multicategory Classification
    • [stat.ML]Composition of kernel and acquisition functions for High Dimensional Bayesian Optimization
    • [stat.ML]Diffusion State Distances: Multitemporal Analysis, Fast
    872
    Algorithms, and Applications to Biological Networks
    • [stat.ML]Getting Better from Worse: Augmented Bagging and a Cautionary Tale of Variable Importance
    • [stat.ML]Large-scale benchmark study of survival prediction methods using multi-omics data
    • [stat.ML]Manifold Regularization for Adversarial Robustness
    • [stat.ML]Prediction with Spatio-temporal Point Processes with Self Organizing Decision Trees
    • [stat.ML]QTIP: Quick simulation-based adaptation of Traffic model per Incident Parameters
    • [stat.ML]Stochastic Recursive Momentum for Policy Gradient Methods
    • [stat.OT]Anna Karenina and The Two Envelopes Problem

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    • [cond-mat.stat-mech]Learning entropy production via neural networks
    Dong-Kyum Kim, Youngkyoung Bae, Sangyun Lee, Hawoong Jeong
    http://arxiv.org/abs/2003.04166v1

    • [cs.AI]Adversarial Machine Learning: Perspectives from Adversarial Risk Analysis
    David Rios Insua, Roi Naveiro, Victor Gallego, Jason Poulos
    http://arxiv.org/abs/2003.03546v1

    • [cs.AI]BitTensor: An Intermodel Intelligence Measure
    Jacob Steeves, Ala Shaabana, Matthew McAteer
    http://arxiv.org/abs/2003.03917v1

    • [cs.AI]Integrating Acting, Planning and Learning in Hierarchical Operational Models
    Sunandita Patra, James Mason, Amit Kumar, Malik Ghallab, Paolo Traverso, Dana Nau
    http://arxiv.org/abs/2003.03932v1

    • [cs.AI]Interactive Constrained MAP-Elites Analysis and Evaluation of the Expressiveness of the Feature Dimensions
    Alberto Alvarez, Steve Dahlskog, Jose Font, Julian Togelius
    http://arxiv.org/abs/2003.03377v1

    • [cs.AI]Knowledge Graphs and Knowledge Networks: The Story in Brief
    Amit Sheth, Swati Padhee, Amelie Gyrard
    http://arxiv.org/abs/2003.03623v1

    • [cs.AI]Online Residential Demand Response via Contextual Multi-Armed Bandits
    Xin Chen, Yutong Nie, Na Li
    http://arxiv.org/abs/2003.03627v1

    • [cs.AI]Overview of the CCKS 2019 Knowledge Graph Evaluation Track: Entity, Relation, Event and QA
    Xianpei Han, Zhichun Wang, Jiangtao Zhang, Qinghua Wen, Wenqi Li, Buzhou Tang, Qi Wang, Zhifan Feng, Yang Zhang, Yajuan Lu, Haitao Wang, Wenliang Chen, Hao Shao, Yubo Chen, Kang Liu, Jun Zhao, Taifeng Wang, Kezun Zhang, Meng Wang, Yinlin Jiang, Guilin Qi, Lei Zou, Sen Hu, Minhao Zhang, Yinnian Lin
    http://arxiv.org/abs/2003.03875v1

    • [cs.CE]Enhancing Industrial X-ray Tomography by Data-Centric Statistical Methods
    Jarkko Suuronen, Muhammad Emzir, Sari Lasanen, Simo Särkkä, Lassi Roininen
    http://arxiv.org/abs/2003.03814v1

    • [cs.CL]A Multi-Source Entity-Level Sentiment Corpus for the Financial Domain: The FinLin Corpus
    Tobias Daudert
    http://arxiv.org/abs/2003.04073v1

    • [cs.CL]A Post-processing Method for Detecting Unknown Intent of Dialogue System via Pre-trained Deep Neural Network Classifier
    Ting-En Lin, Hua Xu
    http://arxiv.org/abs/2003.03504v1

    • [cs.CL]An Empirical Investigation of Pre-Trained Transformer Language Models for Open-Domain Dialogue Generation
    Piji Li
    http://arxiv.org/abs/2003.04195v1

    • [cs.CL]Discovering linguistic (ir)regularities in word embeddings through max-margin separating hyperplanes
    Noel Kennedy, Imogen Schofield, Dave C. Brodbelt, David B. Church, Dan G. O’Neill
    http://arxiv.org/abs/2003.03654v1

    • [cs.CL]ECSP: A New Task for Emotion-Cause Span-Pair Extraction and Classification
    Hongliang Bi, Pengyuan Liu
    http://arxiv.org/abs/2003.03507v1

    • [cs.CL]General-Purpose Communicative Function Recognition using a Hierarchical Network with Cascading Outputs and Maximum a Posteriori Path Estimation
    Eugénio Ribeiro, Ricardo Ribeiro, David Martins de Matos
    http://arxiv.org/abs/2003.03556v1

    • [cs.CL]Generating Emotionally Aligned Responses in Dialogues using Affect Control Theory
    Nabiha Asghar, Ivan Kobyzev, Jesse Hoey, Pascal Poupart, Muhammad Bilal Sheikh
    http://arxiv.org/abs/2003.03645v1

    • [cs.CL]Investigating the Decoders of Maximum Likelihood Sequence Models: A Look-ahead Approach
    Yu-Siang Wang, Yen-Ling Kuo, Boris Katz
    http://arxiv.org/abs/2003.03716v1

    • [cs.CL]Keeping it simple: Implementation and performance of the proto-principle of adaptation and learning in the language sciences
    Petar Milin, Harish Tayyar Madabushi, Michael Croucher, Dagmar Divjak
    http://arxiv.org/abs/2003.03813v1

    • [cs.CL]Multi-task Learning Based Neural Bridging Reference Resolution
    Juntao Yu, Massimo Poesio
    http://arxiv.org/abs/2003.03666v1

    • [cs.CL]NYTWIT: A Dataset of Novel Words in the New York Times
    Yuval Pinter, Cassandra L. Jacobs, Max Bittker
    http://arxiv.org/abs/2003.03444v1

    • [cs.CL]Natural Language QA Approaches using Reasoning with External Knowledge
    Chitta Baral, Pratyay Banerjee, Kuntal Kumar Pal, Arindam Mitra
    http://arxiv.org/abs/2003.03446v1

    • [cs.CL]Pseudo Labeling and Negative Feedback Learning for Large-scale Multi-label Domain Classification
    Joo-Kyung Kim, Young-Bum Kim
    http://arxiv.org/abs/2003.03728v1

    • [cs.CL]Sentence Analogies: Exploring Linguistic Relationships and Regularities in Sentence Embeddings
    Xunjie Zhu, Gerard de Melo
    http://arxiv.org/abs/2003.04036v1

    • [cs.CL]Shallow Discourse Annotation for Chinese TED Talks
    Wanqiu Long, Xinyi Cai, James E. M. Reid, Bonnie Webber, Deyi Xiong
    http://arxiv.org/abs/2003.04032v1

    • [cs.CL]Synthetic Error Dataset Generation Mimicking Bengali Writing Pattern
    Md. Habibur Rahman Sifat, Chowdhury Rafeed Rahman, Mohammad Rafsan, Md. Hasibur Rahman
    http://arxiv.org/abs/2003.03484v1

    • [cs.CL]The growing echo chamber of social media: Measuring temporal and social contagion dynamics for over 150 languages on Twitter for 2009—2020
    Thayer Alshaabi, David R. Dewhurst, Joshua R. Minot, Michael V. Arnold, Jane L. Adams, Christopher M. Danforth, Peter Sheridan Dodds
    http://arxiv.org/abs/2003.03667v1

    • [cs.CR]Attacking the DeFi Ecosystem with Flash Loans for Fun and Profit
    Kaihua Qin, Liyi Zhou, Benjamin Livshits, Arthur Gervais
    http://arxiv.org/abs/2003.03810v1

    • [cs.CR]Dynamic Backdoor Attacks Against Machine Learning Models
    Ahmed Salem, Rui Wen, Michael Backes, Shiqing Ma, Yang Zhang
    http://arxiv.org/abs/2003.03675v1

    • [cs.CR]Secure Cloud Storage with Client-Side Encryption Using a Trusted Execution Environment
    Marciano da Rocha, Dalton Cézane Gomes Valadares, Angelo Perkusich, Kyller Costa Gorgonio, Rodrigo Tomaz Pagno, Newton Carlos Will
    http://arxiv.org/abs/2003.04163v1

    • [cs.CR]TEDL: A Text Encryption Method Based on Deep Learning
    Xiang Li, Peng Wang
    http://arxiv.org/abs/2003.04038v1

    • [cs.CR]Towards Probabilistic Verification of Machine Unlearning
    David Marco Sommer, Liwei Song, Sameer Wagh, Prateek Mittal
    http://arxiv.org/abs/2003.04247v1

    • [cs.CV]A Benchmark for Temporal Color Constancy
    Yanlin Qian, Jani Käpylä, Joni-Kristian Kämäräinen, Samu Koskinen, Jiri Matas
    http://arxiv.org/abs/2003.03763v1

    • [cs.CV]A Multi-scale CNN-CRF Framework for Environmental Microorganism Image Segmentation
    Jinghua Zhang, Chen Li, Frank Kulwa, Xin Zhao, Changhao Sun, Zihan Li, Tao Jiang, Hong Li
    http://arxiv.org/abs/2003.03744v1

    • [cs.CV]A Strong Baseline for Fashion Retrieval with Person Re-Identification Models
    Mikolaj Wieczorek, Andrzej Michalowski, Anna Wroblewska, Jacek Dabrowski
    http://arxiv.org/abs/2003.04094v1

    • [cs.CV]A Tracking System For Baseball Game Reconstruction
    Nina Wiedemann, Carlos Dietrich, Claudio T. Silva
    http://arxiv.org/abs/2003.03856v1

    • [cs.CV]Accurate Temporal Action Proposal Generation with Relation-Aware Pyramid Network
    Jialin Gao, Zhixiang Shi, Jiani Li, Guanshuo Wang, Yufeng Yuan, Shiming Ge, Xi Zhou
    http://arxiv.org/abs/2003.04145v1

    • [cs.CV]Active Fine-Tuning from gMAD Examples Improves Blind Image Quality Assessment
    Zhihua Wang, Kede Ma
    http://arxiv.org/abs/2003.03849v1

    • [cs.CV]Adaptive Offline Quintuplet Loss for Image-Text Matching
    Tianlang Chen, Jiajun Deng, Jiebo Luo
    http://arxiv.org/abs/2003.03669v1

    • [cs.CV]Adaptive Semantic-Visual Tree for Hierarchical Embeddings
    Shuo Yang, Wei Yu, Ying Zheng, Hongxun Yao, Tao Mei
    http://arxiv.org/abs/2003.03707v1

    • [cs.CV]AlphaNet: An Attention Guided Deep Network for Automatic Image Matting
    Rishab Sharma, Rahul Deora, Anirudha Vishvakarma
    http://arxiv.org/abs/2003.03613v1

    • [cs.CV]An Empirical Evaluation on Robustness and Uncertainty of Regularization Methods
    Sanghyuk Chun, Seong Joon Oh, Sangdoo Yun, Dongyoon Han, Junsuk Choe, Youngjoon Yoo
    http://arxiv.org/abs/2003.03879v1

    • [cs.CV]Better Captioning with Sequence-Level Exploration
    Jia Chen, Qin Jin
    http://arxiv.org/abs/2003.03749v1

    • [cs.CV]BiDet: An Efficient Binarized Object Detector
    Ziwei Wang, Ziyi Wu, Jiwen Lu, Jie Zhou
    http://arxiv.org/abs/2003.03961v1

    • [cs.CV]BirdNet+: End-to-End 3D Object Detection in LiDAR Bird’s Eye View
    Alejandro Barrera, Carlos Guindel, Jorge Beltrán, Fernando García
    http://arxiv.org/abs/2003.04188v1

    • [cs.CV]CPM R-CNN: Calibrating Point-guided Misalignment in Object Detection
    Bin Zhu, Qing Song, Lu Yang, Zhihui Wang, Chun Liu, Mengjie Hu
    http://arxiv.org/abs/2003.03570v1

    • [cs.CV]Cascaded Human-Object Interaction Recognition
    Tianfei Zhou, Wenguan Wang, Siyuan Qi, Haibin Ling, Jianbing Shen
    http://arxiv.org/abs/2003.04262v1

    • [cs.CV]Cross-Modal Food Retrieval: Learning a Joint Embedding of Food Images and Recipes with Semantic Consistency and Attention Mechanism
    Hao Wang, Doyen Sahoo, Chenghao Liu, Ke Shu, Palakorn Achananuparp, Ee-peng Lim, Steven C. H. Hoi
    http://arxiv.org/abs/2003.03955v1

    • [cs.CV]Cross-View Tracking for Multi-Human 3D Pose Estimation at over 100 FPS
    Long Chen, Haizhou Ai, Rui Chen, Zijie Zhuang, Shuang Liu
    http://arxiv.org/abs/2003.03972v1

    • [cs.CV]Cross-modal Learning for Multi-modal Video Categorization
    Palash Goyal, Saurabh Sahu, Shalini Ghosh, Chul Lee
    http://arxiv.org/abs/2003.03501v1

    • [cs.CV]Crowd Counting via Hierarchical Scale Recalibration Network
    Zhikang Zou, Yifan Liu, Shuangjie Xu, Wei Wei, Shiping Wen, Pan Zhou
    http://arxiv.org/abs/2003.03545v1

    • [cs.CV]DADA: Differentiable Automatic Data Augmentation
    Yonggang Li, Guosheng Hu, Yongtao Wang, Timothy Hospedales, Neil M. Robertson, Yongxing Yang
    http://arxiv.org/abs/2003.03780v1

    • [cs.CV]DASNet: Dual attentive fully convolutional siamese networks for change detection of high resolution satellite images
    Jie Chen, Ziyang Yuan, Jian Peng, Li Chen, Haozhe Huang, Jiawei Zhu, Tao Lin, Haifeng Li
    http://arxiv.org/abs/2003.03608v1

    • [cs.CV]Deconfounded Image Captioning: A Causal Retrospect
    Xu Yang, Hanwang Zhang, Jianfei Cai
    http://arxiv.org/abs/2003.03923v1

    • [cs.CV]Dense Dilated Convolutions Merging Network for Land Cover Classification
    Qinghui Liu, Michael Kampffmeyer, Robert Jessen, Arnt-Børre Salberg
    http://arxiv.org/abs/2003.04027v1

    • [cs.CV]Distilling portable Generative Adversarial Networks for Image Translation
    Hanting Chen, Yunhe Wang, Han Shu, Changyuan Wen, Chunjing Xu, Boxin Shi, Chao Xu, Chang Xu
    http://arxiv.org/abs/2003.03519v1

    • [cs.CV]Domain Adversarial Training for Infrared-colour Person Re-Identification
    Nima Mohammadi Meshky, Sara Iodice, Krystian Mikolajczyk
    http://arxiv.org/abs/2003.04191v1

    • [cs.CV]Domain-Specific Image Super-Resolution with Progressive Adversarial Network
    Wong Lone, Zhao Deli, Wan Shaohua, Zhang Bo
    http://arxiv.org/abs/2003.03756v1

    • [cs.CV]Embedding Propagation: Smoother Manifold for Few-Shot Classification
    Pau Rodríguez, Issam Laradji, Alexandre Drouin, Alexandre Lacoste
    http://arxiv.org/abs/2003.04151v1

    • [cs.CV]FarSee-Net: Real-Time Semantic Segmentation by Efficient Multi-scale Context Aggregation and Feature Space Super-resolution
    Zhanpeng Zhang, Kaipeng Zhang
    http://arxiv.org/abs/2003.03913v1

    • [cs.CV]Faster ILOD: Incremental Learning for Object Detectors based on Faster
    484f
    RCNN
    Can Peng, Kun Zhao, Brian C. Lovell
    http://arxiv.org/abs/2003.03901v1

    • [cs.CV]Fine-Grained Visual Classification via Progressive Multi-Granularity Training of Jigsaw Patches
    Ruoyi Du, Dongliang Chang, Ayan Kumar Bhunia, Jiyang Xie, Yi-Zhe Song, Zhanyu Ma, Jun Guo
    http://arxiv.org/abs/2003.03836v1

    • [cs.CV]FoCL: Feature-Oriented Continual Learning for Generative Models
    Qicheng Lao, Mehrzad Mortazavi, Marzieh Tahaei, Francis Dutil, Thomas Fevens, Mohammad Havaei
    http://arxiv.org/abs/2003.03877v1

    • [cs.CV]Generative Low-bitwidth Data Free Quantization
    Shoukai Xu, Haokun Li, Bohan Zhuang, Jing Liu, Jiezhang Cao, Chuangrun Liang, Mingkui Tan
    http://arxiv.org/abs/2003.03603v1

    • [cs.CV]Hierarchical Kinematic Human Mesh Recovery
    Georgios Georgakis, Ren Li, Srikrishna Karanam, Terrence Chen, Jana Kosecka, Ziyan Wu
    http://arxiv.org/abs/2003.04232v1

    • [cs.CV]IMRAM: Iterative Matching with Recurrent Attention Memory for Cross-Modal Image-Text Retrieval
    Hui Chen, Guiguang Ding, Xudong Liu, Zijia Lin, Ji Liu, Jungong Han
    http://arxiv.org/abs/2003.03772v1

    • [cs.CV]Improved Baselines with Momentum Contrastive Learning
    Xinlei Chen, Haoqi Fan, Ross Girshick, Kaiming He
    http://arxiv.org/abs/2003.04297v1

    • [cs.CV]Inferring Spatial Uncertainty in Object Detection
    Zining Wang, Di Feng, Yiyang Zhou, Wei Zhan, Lars Rosenbaum, Fabian Timm, Klaus Dietmayer, Masayoshi Tomizuka
    http://arxiv.org/abs/2003.03644v1

    • [cs.CV]Knowledge distillation via adaptive instance normalization
    Jing Yang, Brais Martinez, Adrian Bulat, Georgios Tzimiropoulos
    http://arxiv.org/abs/2003.04289v1

    • [cs.CV]Learning Delicate Local Representations for Multi-Person Pose Estimation
    Yuanhao Cai, Zhicheng Wang, Zhengxiong Luo, Binyi Yin, Angang Du, Haoqian Wang, Xinyu Zhou, Erjin Zhou, Xiangyu Zhang, Jian Sun
    http://arxiv.org/abs/2003.04030v1

    • [cs.CV]MCMC Guided CNN Training and Segmentation for Pancreas Extraction
    Jinchan He, Xiaxia Yu, Chudong Cai, Yi Gao
    http://arxiv.org/abs/2003.03938v1

    • [cs.CV]MatchingGAN: Matching-based Few-shot Image Generation
    Yan Hong, Jianfu Zhang, Li Niu, Liqing Zhang
    http://arxiv.org/abs/2003.03497v1

    • [cs.CV]Meta3D: Single-View 3D Object Reconstruction from Shape Priors in Memory
    Shuo Yang, Min Xu, Hongxun Yao
    http://arxiv.org/abs/2003.03711v1

    • [cs.CV]Mind the Gap: Enlarging the Domain Gap in Open Set Domain Adaptation
    Dongliang Chang, Aneeshan Sain, Zhanyu Ma, Yi-Zhe Song, Jun Guo
    http://arxiv.org/abs/2003.03787v1

    • [cs.CV]MobilePose: Real-Time Pose Estimation for Unseen Objects with Weak Shape Supervision
    Tingbo Hou, Adel Ahmadyan, Liangkai Zhang, Jianing Wei, Matthias Grundmann
    http://arxiv.org/abs/2003.03522v1

    • [cs.CV]Monocular 3D Object Detection in Cylindrical Images from Fisheye Cameras
    Elad Plaut, Erez Ben Yaacov, Bat El Shlomo
    http://arxiv.org/abs/2003.03759v1

    • [cs.CV]Motion-Attentive Transition for Zero-Shot Video Object Segmentation
    Tianfei Zhou, Shunzhou Wang, Yi Zhou, Yazhou Yao, Jianwu Li, Ling Shao
    http://arxiv.org/abs/2003.04253v1

    • [cs.CV]Multi-modal Self-Supervision from Generalized Data Transformations
    Mandela Patrick, Yuki M. Asano, Ruth Fong, João F. Henriques, Geoffrey Zweig, Andrea Vedaldi
    http://arxiv.org/abs/2003.04298v1

    • [cs.CV]No Surprises: Training Robust Lung Nodule Detection for Low-Dose CT Scans by Augmenting with Adversarial Attacks
    Siqi Liu, Arnaud Arindra Adiyoso Setio, Florin C. Ghesu, Eli Gibson, Sasa Grbic, Bogdan Georgescu, Dorin Comaniciu
    http://arxiv.org/abs/2003.03824v1

    • [cs.CV]Object-Oriented Video Captioning with Temporal Graph and Prior Knowledge Building
    Fangyi Zhu, Jenq-Nent Hwang, Zhanyu Ma, Guo Jun
    http://arxiv.org/abs/2003.03715v1

    • [cs.CV]On the Texture Bias for Few-Shot CNN Segmentation
    Reza Azad, Abdur R Fayjie, Claude Kauffman, Ismail Ben Ayed, Marco Pedersoli, Jose Dolz
    http://arxiv.org/abs/2003.04052v1

    • [cs.CV]PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models
    Sachit Menon, Alexandru Damian, Shijia Hu, Nikhil Ravi, Cynthia Rudin
    http://arxiv.org/abs/2003.03808v1

    • [cs.CV]Pacemaker: Intermediate Teacher Knowledge Distillation For On-The-Fly Convolutional Neural Network
    Wonchul Son, Youngbin Kim, Wonseok Song, Youngsu Moon, Wonjun Hwang
    http://arxiv.org/abs/2003.03944v1

    • [cs.CV]Pixel-In-Pixel Net: Towards Efficient Facial Landmark Detection in the Wild
    Haibo Jin, Shengcai Liao, Ling Shao
    http://arxiv.org/abs/2003.03771v1

    • [cs.CV]Pseudo-Convolutional Policy Gradient for Sequence-to-Sequence Lip-Reading
    Mingshuang Luo, Shuang Yang, Shiguang Shan, Xilin Chen
    http://arxiv.org/abs/2003.03983v1

    • [cs.CV]ROSE: Real One-Stage Effort to Detect the Fingerprint Singular Point Based on Multi-scale Spatial Attention
    Liaojun Pang, Jiong Chen, Fei Guo, Zhicheng Cao, Heng Zhao
    http://arxiv.org/abs/2003.03918v1

    • [cs.CV]ReActNet: Towards Precise Binary Neural Network with Generalized Activation Functions
    Zechun Liu, Zhiqiang Shen, Marios Savvides, Kwang-Ting Cheng
    http://arxiv.org/abs/2003.03488v1

    • [cs.CV]Rectifying Pseudo Label Learning via Uncertainty Estimation for Domain Adaptive Semantic Segmentation
    Zhedong Zheng, Yi Yang
    http://arxiv.org/abs/2003.03773v1

    • [cs.CV]Restore from Restored: Video Restoration with Pseudo Clean Video
    Seunghwan Lee, Seobin Park, Donghyeon Cho, Jiwon Kim, Tae Hyun Kim
    http://arxiv.org/abs/2003.04279v1

    • [cs.CV]SOIC: Semantic Online Initialization and Calibration for LiDAR and Camera
    Weimin Wang, Shohei Nobuhara, Ryosuke Nakamura, Ken Sakurada
    http://arxiv.org/abs/2003.04260v1

    • [cs.CV]SalsaNext: Fast Semantic Segmentation of LiDAR Point Clouds for Autonomous Driving
    Tiago Cortinhal, George Tzelepis, Eren Erdal Aksoy
    http://arxiv.org/abs/2003.03653v1

    • [cs.CV]Searching Central Difference Convolutional Networks for Face Anti-Spoofing
    Zitong Yu, Chenxu Zhao, Zezheng Wang, Yunxiao Qin, Zhuo Su, Xiaobai Li, Feng Zhou, Guoying Zhao
    http://arxiv.org/abs/2003.04092v1

    • [cs.CV]Semantic Change Pattern Analysis
    Wensheng Cheng, Yan Zhang, Xu Lei, Wen Yang, Guisong Xia
    http://arxiv.org/abs/2003.03492v1

    • [cs.CV]Semantic Object Prediction and Spatial Sound Super-Resolution with Binaural Sounds
    Arun Balajee Vasudevan, Dengxin Dai, Luc Van Gool
    http://arxiv.org/abs/2003.04210v1

    • [cs.CV]StyleGAN2 Distillation for Feed-forward Image Manipulation
    Yuri Viazovetskyi, Vladimir Ivashkin, Evgeny Kashin
    http://arxiv.org/abs/2003.03581v1

    • [cs.CV]Super Resolution Using Segmentation-Prior Self-Attention Generative Adversarial Network
    Yuxin Zhang, Zuquan Zheng, Roland Hu
    http://arxiv.org/abs/2003.03489v1

    • [cs.CV]TTPP: Temporal Transformer with Progressive Prediction for Efficient Action Anticipation
    Wen Wang, Xiaojiang Peng, Yanzhou Su, Yu Qiao, Jian Cheng
    http://arxiv.org/abs/2003.03530v1

    • [cs.CV]Trajectory Grouping with Curvature Regularization for Tubular Structure Tracking
    Li Liu, Jiong Zhang, Da Chen, HUazhong Shu, Laurent D. Cohen
    http://arxiv.org/abs/2003.03710v1

    • [cs.CV]Transferring Cross-domain Knowledge for Video Sign Language Recognition
    Dongxu Li, Xin Yu, Chenchen Xu, Lars Petersson, Hongdong Li
    http://arxiv.org/abs/2003.03703v1

    • [cs.CV]Transformation-based Adversarial Video Prediction on Large-Scale Data
    Pauline Luc, Aidan Clark, Sander Dieleman, Diego de Las Casas, Yotam Doron, Albin Cassirer, Karen Simonyan
    http://arxiv.org/abs/2003.04035v1

    • [cs.CV]Unifying Specialist Image Embedding into Universal Image Embedding
    Yang Feng, Futang Peng, Xu Zhang, Wei Zhu, Shanfeng Zhang, Howard Zhou, Zhen Li, Tom Duerig, Shih-Fu Chang, Jiebo Luo
    http://arxiv.org/abs/2003.03701v1

    • [cs.CV]Weight mechanism adding a constant in concatenation of series connect
    Xiaojie Qi, Yindi Zhao
    http://arxiv.org/abs/2003.03500v1

    • [cs.CV]When Person Re-identification Meets Changing Clothes
    Fangbin Wan, Yang Wu, Xuelin Qian, Yanwei Fu
    http://arxiv.org/abs/2003.04070v1

    • [cs.CV]iFAN: Image-Instance Full Alignment Networks for Adaptive Object Detection
    Chenfan Zhuang, Xintong Han
    5000, Weilin Huang, Matthew R. Scott
    http://arxiv.org/abs/2003.04132v1

    • [cs.CY]A Human-Centered Review of the Algorithms used within the U.S. Child Welfare System
    Devansh Saxena, Karla Badillo-Urquiola, Pamela J. Wisniewski, Shion Guha
    http://arxiv.org/abs/2003.03541v1

    • [cs.CY]Modelling Human Active Search in Optimizing Black-box Functions
    Antonio Candelieri, Riccardo Perego, Ilaria Giordani, Andrea Ponti, Francesco Archetti
    http://arxiv.org/abs/2003.04275v1

    • [cs.CY]The Residence History Inference Problem
    Derek Ruths, Caitrin Armstrong
    http://arxiv.org/abs/2003.04155v1

    • [cs.DC]A machine learning environment for evaluating autonomous driving software
    Jussi Hanhirova, Anton Debner, Matias Hyyppä, Vesa Hirvisalo
    http://arxiv.org/abs/2003.03576v1

    • [cs.DC]Aion: Better Late than Never in Event-Time Streams
    Sérgio Esteves, Gianmarco De Francisci Morales, Rodrigo Rodrigues, Marco Serafini, Luís Veiga
    http://arxiv.org/abs/2003.03604v1

    • [cs.DC]Distributed Computation and Reconfiguration in Actively Dynamic Networks
    Othon Michail, George Skretas, Paul G. Spirakis
    http://arxiv.org/abs/2003.03355v1

    • [cs.DC]Distributed macroscopic traffic simulation with Open Traffic Models
    Gabriel Gomes, Juliette Ugirumurera, Xiaoye Li
    http://arxiv.org/abs/2003.03398v1

    • [cs.DC]FedLoc: Federated Learning Framework for Cooperative Localization and Location Data Processing
    Feng Yin, Zhidi Lin, Yue Xu, Qinglei Kong, Deshi Li, Sergios Theodoridis, Shuguang, Cui
    http://arxiv.org/abs/2003.03697v1

    • [cs.DC]Hardware Architecture Proposal for TEDA algorithm to Data Streaming Anomaly Detection
    Lucileide M. D. da Silva, Maria G. F. Coutinho, Carlos E. B. Santos, Mailson R. Santos, Luiz Affonso Guedes, M. Dolores Ruiz, Marcelo A. C. Fernandes
    http://arxiv.org/abs/2003.03837v1

    • [cs.DC]I-ViSE: Interactive Video Surveillance as an Edge Service using Unsupervised Feature Queries
    Seyed Yahya Nikouei, Yu Chen, Alexander Aved, Erik Blasch
    http://arxiv.org/abs/2003.04169v1

    • [cs.DC]Lightweight Inter-transaction Caching with Precise Clocks and Dynamic Self-invalidation
    Pulkit A. Misra, Srihari Radhakrishnan, Jeffrey S. Chase, Johannes Gehrke, Alvin R. Lebeck
    http://arxiv.org/abs/2003.04150v1

    • [cs.DC]Serverless in the Wild: Characterizing and Optimizing the Serverless Workload at a Large Cloud Provider
    Mohammad Shahrad, Rodrigo Fonseca, Íñigo Goiri, Gohar Chaudhry, Paul Batum, Jason Cooke, Eduardo Laureano, Colby Tresness, Mark Russinovich, Ricardo Bianchini
    http://arxiv.org/abs/2003.03423v1

    • [cs.DC]Step on the Gas? A Better Approach for Recommending the Ethereum Gas Price
    Sam M. Werner, Paul J. Pritz, Daniel Perez
    http://arxiv.org/abs/2003.03479v1

    • [cs.DC]Stretching the capacity of Hardware Transactional Memory in IBM POWER architectures
    Ricardo Filipe, Shady Issa, Paolo Romano, João Barreto
    http://arxiv.org/abs/2003.03317v1

    • [cs.DS]Adjacency Labelling for Planar Graphs (and Beyond)
    Vida Dujmović, Louis Esperet, Gwenaël Joret, Cyril Gavoille, Piotr Micek, Pat Morin
    http://arxiv.org/abs/2003.04280v1

    • [cs.FL]Dependently Typed Knowledge Graphs
    Zhangsheng Lai, Aik Beng Ng, Liang Ze Wong, Simon See, Shaowei Lin
    http://arxiv.org/abs/2003.03785v1

    • [cs.GR]STD-Net: Structure-preserving and Topology-adaptive Deformation Network for 3D Reconstruction from a Single Image
    Aihua Mao, Canglan Dai, Lin Gao, Ying He, Yong-jin Liu
    http://arxiv.org/abs/2003.03551v1

    • [cs.IR]DeepLENS: Deep Learning for Entity Summarization
    Qingxia Liu, Gong Cheng, Yuzhong Qu
    http://arxiv.org/abs/2003.03736v1

    • [cs.IR]ESBM: An Entity Summarization BenchMark
    Qingxia Liu, Gong Cheng, Kalpa Gunaratna, Yuzhong Qu
    http://arxiv.org/abs/2003.03734v1

    • [cs.IR]Price-aware Recommendation with Graph Convolutional Networks
    Yu Zheng, Chen Gao, Xiangnan He, Yong Li, Depeng Jin
    http://arxiv.org/abs/2003.03975v1

    • [cs.IT]Advanced Receiver Architectures for Millimeter Wave Communications with Low-Resolution ADCs
    Jinseok Choi, Gilwon Lee, Ahmed Alkhateeb, Alan Gatherer, Naofal Al-Dhahir, Brian L. Evans
    http://arxiv.org/abs/2003.03683v1

    • [cs.IT]Anti-Aging Scheduling in Single-Server Queues: A Systematic and Comparative Study
    Zhongdong Liu, Liang Huang, Bin Li, Bo Ji
    http://arxiv.org/abs/2003.04271v1

    • [cs.IT]Capacity of Continuous Channels with Memory via Directed Information Neural Estimator
    Ziv Aharoni, Dor Tsur, Ziv Goldfeld, Haim Henry Permuter
    http://arxiv.org/abs/2003.04179v1

    • [cs.IT]Design of SCMA Codebooks Using Differential Evolution
    Kuntal Deka, Minerva Priyadarsini, Sanjeev Sharma, Baltasar Beferull-Lozano
    http://arxiv.org/abs/2003.03569v1

    • [cs.IT]MIMO Amplify-and-Forward Precoding for Networked Control Systems
    Fan Zhang, Vincent K. N. Lau, Gong Zhang
    http://arxiv.org/abs/2003.03496v1

    • [cs.IT]New Constructions of Complementary Sequence Pairs over $4^q$-QAM
    Zilong Wang, Erzhong Xue, Guang Gong
    http://arxiv.org/abs/2003.03459v1

    • [cs.IT]Outage Behaviors of NOMA-based Satellite Network over Shadowed-Rician Fading Channels
    Xinwei Yue, Yuanwei Liu, Yuanyuan Yao, Tian Li, Xuehua Li, Rongke Liu, Arumugam Nallanathan
    http://arxiv.org/abs/2003.03527v1

    • [cs.IT]Outage Probability Minimization for UAV-Enabled Data Collection with Distributed Beamforming
    Tianxin Feng, Lifeng Xie, Jianping Yao, Jie Xu
    http://arxiv.org/abs/2003.03574v1

    • [cs.IT]Phase Transition Analysis for Covariance Based Massive Random Access with Massive MIMO
    Zhilin Chen, Foad Sohrabi, Ya-Feng Liu, Wei Yu
    http://arxiv.org/abs/2003.04175v1

    • [cs.IT]Reinforcement Learning Based Cooperative Coded Caching under Dynamic Popularities in Ultra-Dense Networks
    Shen Gao, Peihao Dong, Zhiwen Pan, Geoffrey Ye Li
    http://arxiv.org/abs/2003.03758v1

    • [cs.IT]Strong Secrecy for General Multiple-Access Wiretap Channels
    Manos Athanasakos, Nicholas Kalouptsidis
    http://arxiv.org/abs/2003.03592v1

    • [cs.IT]Study of Linear Precoding and Stream Combining for Rate Splitting in MU-MIMO Systems
    A. Flores, R. C. de Lamare, B. Clerckx
    http://arxiv.org/abs/2003.03486v1

    • [cs.LG]$Q^\star$ Approximation Schemes for Batch Reinforcement Learning: A Theoretical Comparison
    Tengyang Xie, Nan Jiang
    http://arxiv.org/abs/2003.03924v1

    • [cs.LG]$Π-$nets: Deep Polynomial Neural Networks
    Grigorios G. Chrysos, Stylianos Moschoglou, Giorgos Bouritsas, Jiankang Deng, Yannis Panagakis, Stefanos Zafeiriou
    http://arxiv.org/abs/2003.03828v1

    • [cs.LG]A Survey on The Expressive Power of Graph Neural Networks
    Ryoma Sato
    http://arxiv.org/abs/2003.04078v1

    • [cs.LG]A working likelihood approach to support vector regression with a data-driven insensitivity parameter
    Jinran Wu, You-Gan Wang
    http://arxiv.org/abs/2003.03893v1

    • [cs.LG]AL2: Progressive Activation Loss for Learning General Representations in Classification Neural Networks
    Majed El Helou, Frederike Dümbgen, Sabine Süsstrunk
    http://arxiv.org/abs/2003.03633v1

    • [cs.LG]Adversarial Attacks on Probabilistic Autoregressive Forecasting Models
    Raphaël Dang-Nhu, Gagandeep Singh, Pavol Bielik, Martin Vechev
    http://arxiv.org/abs/2003.03778v1

    • [cs.LG]An Active Learning Framework for Constructing High-fidelity Mobility Maps
    Gary R. Marple, David Gorsich, Paramsothy Jayakumar, Shravan Veerapaneni
    http://arxiv.org/abs/2003.03517v1

    • [cs.LG]Approximate is Good Enough: Probabilistic Variants of Dimensional and Margin Complexity
    Pritish Kamath, Omar Montasser, Nathan Srebro
    http://arxiv.org/abs/2003.04180v1

    • [cs.LG]AutoML-Zero: Evolving Machine Learning Algorithms From Scratch
    Esteban Real, Chen Liang, David R. So, Quoc V. Le
    http://arxiv.org/abs/2003.03384v1

    • [cs.LG]COPT: Coordinated Optimal Transport on Graphs
    Yihe Dong, Will Sawin
    http://arxiv.org/abs/2003.03892v1

    • [cs.LG]Causal Interpretability for Machine Learning — Problems, Methods and Evaluation
    Raha Moraffah, Mansooreh Karami, Ruocheng Guo, Adrienne Ragliny, Huan Liu
    http://arxiv.org/abs/2003.03934v1

    • [cs.LG]Collaborative Learning of Semi-Supervised Clustering and Classification for Labeling Uncurated Data
    Sara Mousavi, Dylan Lee, Tatianna Griffin, Dawnie Steadman, Audris Mockus
    http://arxiv.org/abs/2003.04261v1

    • [cs.LG]Columnwise Element Selection for Computationally Efficient Nonnegative Coupled Matrix Tensor Factorization
    Thirunavukarasu Balasubramaniam, Richi Nayak, Chau Yuen
    http://arxiv.org/abs/2003.03506v1

    • [cs.LG]Deep Inverse Feature Learning: A Representation Learning of Error
    Behzad Ghazanfari, Fatemeh Afghah
    http://arxiv.org/abs/2003.04285v1

    • [cs.LG]Deep learning for prediction of population health costs
    Philipp Drewe-Boss, Dirk Enders, Jochen Walker, Uwe Ohler
    http://arxiv.org/abs/2003.03466v1

    • [cs.LG]Efficiency and Equity are Both Essential: A Generalized Traffic Signal Controller with Deep Reinforcement Learning
    Shengchao Yan, Jingwei Zhang, Daniel Buescher, Wolfram Burgard
    http://arxiv.org/abs/2003.04046v1

    • [cs.LG]Efficient Nonnegative Tensor Factorization via Saturating Coordinate Descent
    Thirunavukarasu Balasubramaniam, Richi Nayak, Chau Yuen
    http://arxiv.org/abs/2003.03572v1

    • [cs.LG]Explaining Knowledge Distillation by Quantifying the Knowledge
    Xu Cheng, Zhefan Rao, Yilan Chen, Quanshi Zhang
    http://arxiv.org/abs/2003.03622v1

    • [cs.LG]Finding Input Characterizations for Output Properties in ReLU Neural Networks
    Saket Dingliwal, Divyansh Pareek, Jatin Arora
    http://arxiv.org/abs/2003.04273v1

    • [cs.LG]FormulaZero: Distributionally Robust Online Adaptation via Offline Population Synthesis
    Aman Sinha, Matthew O’Kelly, Hongrui Zheng, Rahul Mangharam, John Duchi, Russ Tedrake
    http://arxiv.org/abs/2003.03900v1

    • [cs.LG]Generative Adversarial Imitation Learning with Neural Networks: Global Optimality and Convergence Rate
    Yufeng Zhang, Qi Cai, Zhuoran Yang, Zhaoran Wang
    http://arxiv.org/abs/2003.03709v1

    • [cs.LG]Geometry and Topology of Deep Neural Networks’ Decision Boundaries
    Bo Liu
    http://arxiv.org/abs/2003.03687v1

    • [cs.LG]Gradient-based adversarial attacks on categorical sequence models via traversing an embedded world
    Ivan Fursov, Alexey Zaytsev, Nikita Kluchnikov, Andrey Kravchenko, Evgeny Burnaev
    http://arxiv.org/abs/2003.04173v1

    • [cs.LG]Graphs, Convolutions, and Neural Networks
    Fernando Gama, Elvin Isufi, Geert Leus, Alejandro Ribeiro
    http://arxiv.org/abs/2003.03777v1

    • [cs.LG]How to Train Your Super-Net: An Analysis of Training Heuristics in Weight-Sharing NAS
    Kaicheng Yu, Rene Ranftl, Mathieu Salzmann
    http://arxiv.org/abs/2003.04276v1

    • [cs.LG]Human AI interaction loop training: New approach for interactive reinforcement learning
    Neda Navidi
    http://arxiv.org/abs/2003.04203v1

    • [cs.LG]Improving Training on Noisy Stuctured Labels
    Abubakar Abid, James Zou
    http://arxiv.org/abs/2003.03862v1

    • [cs.LG]Inverse Feature Learning: Feature learning based on Representation Learning of Error
    Behzad Ghazanfari, Fatemeh Afghah, MohammadTaghi Hajiaghayi
    http://arxiv.org/abs/2003.03689v1

    • [cs.LG]Isolation Mondrian Forest for Batch and Online Anomaly Detection
    Haoran Ma, Benyamin Ghojogh, Maria N. Samad, Dongyu Zheng, Mark Crowley
    http://arxiv.org/abs/2003.03692v1

    • [cs.LG]Learning discrete state abstractions with deep variational inference
    Ondrej Biza, Robert Platt, Jan-Willem van de Meent, Lawson L. S. Wong
    http://arxiv.org/abs/2003.04300v1

    • [cs.LG]Metric Learning for Ordered Labeled Trees with pq-grams
    Hikaru Shindo, Masaaki Nishino, Yasuaki Kobayashi, Akihiro Yamamoto
    http://arxiv.org/abs/2003.03960v1

    • [cs.LG]Modeling of Spatio-Temporal Hawkes Processes with Randomized Kernels
    Fatih Ilhan, Suleyman Serdar Kozat
    http://arxiv.org/abs/2003.03671v1

    • [cs.LG]Multivariate Boosted Trees and Applications to Forecasting and Control
    Lorenzo Nespoli, Vasco Medici
    http://arxiv.org/abs/2003.03835v1

    • [cs.LG]Nearly Optimal Risk Bounds for Kernel K-Means
    Yong Liu, Lizhong Ding, Hua Zhang, Wenqi Ren, Xiao Zhang, Shali Jiang, Xinwang Liu, Weiping Wang
    http://arxiv.org/abs/2003.03888v1

    • [cs.LG]On the Robustness of Cooperative Multi-Agent Reinforcement Learning
    Jieyu Lin, Kristina Dzeparoska, Sai Qian Zhang, Alberto Leon-Garcia, Nicolas Papernot
    http://arxiv.org/abs/2003.03722v1

    • [cs.LG]Progressive Growing of Neural ODEs
    Hammad A. Ayyubi, Yi Yao, Ajay Divakaran
    http://arxiv.org/abs/2003.03695v1

    • [cs.LG]RCC-Dual-GAN: An Efficient Approach for Outlier Detection with Few Identified Anomalies
    Zhe Li, Chunhua Sun, Chunli Liu, Xiayu Chen, Meng Wang, Yezheng Liu
    http://arxiv.org/abs/2003.03609v1

    • [cs.LG]RNN-based Online Learning: An Efficient First-Order Optimization Algorithm with a Convergence Guarantee
    N. Mert Vural, Selim F. Yilmaz, Fatih Ilhan, Suleyman S. Kozat
    http://arxiv.org/abs/2003.03601v1

    • [cs.LG]Reinforcement Learning for Combinatorial Optimization: A Survey
    Nina Mazyavkina, Sergey Sviridov, Sergei Ivanov, Evgeny Burnaev
    http://arxiv.org/abs/2003.03600v1

    • [cs.LG]Removing Disparate Impact of Differentially Private Stochastic Gradient Descent on Model Accuracy
    Depeng Xu, Wei Du, Xintao Wu
    http://arxiv.org/abs/2003.03699v1

    • [cs.LG]Risk Analysis of Divide-and-Conquer ERM
    Yong Liu, Lizhong Ding, Weiping Wang
    http://arxiv.org/abs/2003.03882v1

    • [cs.LG]Robust Learning from Discriminative Feature Feedback
    Sanjoy Dasgupta, Sivan Sabato
    http://arxiv.org/abs/2003.03946v1

    • [cs.LG]Scalable Approximate Inference and Some Applications
    Jun Han
    http://arxiv.org/abs/2003.03515v1

    • [cs.LG]Sets Clustering
    Ibrahim Jubran, Murad Tukan, Alaa Maalouf, Dan Feldman
    http://arxiv.org/abs/2003.04135v1

    • [cs.LG]ShadowSync: Performing Synchronization in the Background for Highly Scalable Distributed Training
    Qinqing Zheng, Bor-Yiing Su, Jiyan Yang, Alisson Azzolini, Qiang Wu, Ou Jin, Shri Karandikar, Hagay Lupesko, Liang Xiong, Eric Zhou
    http://arxiv.org/abs/2003.03477v1

    • [cs.LG]Stable Policy Optimization via Off-Policy Divergence Regularization
    Ahmed Touati, Amy Zhang, Joelle Pineau, Pascal Vincent
    http://arxiv.org/abs/2003.04108v1

    • [cs.LG]Supervised Domain Adaptation using Graph Embedding
    Lukas Hedegaard, Omar Ali Sheikh-Omar, Alexandros Iosifidis
    http://arxiv.org/abs/2003.04063v1

    • [cs.LG]Temporal Attribute Prediction via Joint Modeling of Multi-Relational Structure Evolution
    Sankalp Garg, Navodita Sharma, Woojeong Jin, Xiang Ren
    http://arxiv.org/abs/2003.03919v1

    • [cs.LG]Ternary Compression for Communication-Efficient Federated Learning
    Jinjin Xu, Wenli Du, Ran Cheng, Wangli He, Yaochu Jin
    http://arxiv.org/abs/2003.03564v1

    • [cs.LG]The Variational InfoMax Learning Objective
    Vincenzo Crescimanna, Bruce Graham
    http://arxiv.org/abs/2003.03524v1

    • [cs.LG]Variational Inference for Deep Probabilistic Canonical Correlation Analysis
    Mahdi Karami, Dale Schuurmans
    http://arxiv.org/abs/2003.04292v1

    • [cs.LG]When can Wasserstein GANs minimize Wasserstein Distance?
    Yuanzhi Li, Zehao Dou
    http://arxiv.org/abs/2003.04033v1

    • [cs.LG]Wide-minima Density Hypothesis and the Explore-Exploit Learning Rate Schedule
    Nikhil Iyer, V Thejas, Nipun Kwatra, Ramachandran Ramjee, Muthian Sivathanu
    http://arxiv.org/abs/2003.03977v1

    • [cs.LG]Zooming for Efficient Model-Free Reinforcement Learning in Metric Spaces
    Ahmed Touati, Adrien Ali Taiga, Marc G. Bellemare
    http://arxiv.org/abs/2003.04069v1

    • [cs.LO]A Uniform Treatment of Aggregates and Constraints in Hybrid ASP
    Pedro Cabalar, Jorge Fandinno, Torsten Schaub, Philipp Wanko
    http://arxiv.org/abs/2003.04176v1

    • [cs.MS]Flexible numerical optimization with ensmallen
    Ryan R. Curtin, Marcus Edel, Rahul Ganesh Prabhu, Suryoday Basak, Zhihao Lou, Conrad Sanderson
    http://arxiv.org/abs/2003.04103v1

    • [cs.NE]Influence of Initialization on the Performance of Metaheuristic Optimizers
    Qian Li, San-Yang Liu, Xin-She Yang
    http://arxiv.org/abs/2003.03789v1

    • [cs.NE]Nature-Inspired Optimization Algorithms: Challenges and Open Problems
    Xin-She Yang
    http://arxiv.org/abs/2003.03776v1

    • [cs.NE]Real-World Airline Crew Pairing Optimization: Customized Genetic Algorithm versus Column Generation Method
    Divyam Aggarwal, Dhish Kumar Saxena, Thomas Back, Michael Emmerich
    http://arxiv.org/abs/2003.03792v1

    • [cs.NE]Shahryar Origami Optimization (SOO): A Novel Approach for Solving Large-scale Expensive Optimization Problems Efficiently
    Shahryar Rahnamayan, Seyed Jalaleddin Mousavirad, Azam Asilian Bidgoli
    http://arxiv.org/abs/2003.03676v1

    • [cs.NE]Synaptic Metaplasticity in Binarized Neural Networks
    Axel Laborieux, Maxence Ernoult, Tifenn Hirtzlin, Damien Querlioz
    http://arxiv.org/abs/2003.03533v1

    • [cs.NI]DeepCP: Deep Learning Driven Cascade Prediction Based Autonomous Content Placement in Closed Social Network
    Qiong Wu, Muhong Wu, Xu Chen, Zhi Zhou, Kaiwen He, Liang Chen
    http://arxiv.org/abs/2003.03971v1

    • [cs.NI]Error Correction with Systematic RLNC in Multi-Channel THz Communication Systems
    Cao Vien Phung, Anna Engelmann, Admela Jukan
    http://arxiv.org/abs/2003.03674v1

    • [cs.PF]Towards Green Computing: A Survey of Performance and Energy Efficiency of Different Platforms using OpenCL
    Philip Heinisch, Katharina Ostaszewski, Hendrik Ranocha
    http://arxiv.org/abs/2003.03794v1

    • [cs.RO]A Mathematical Framework for IMU Error Propagation with Applications to Preintegration
    Axell Barrau, Silvere Bonnabel
    http://arxiv.org/abs/2003.03908v1

    • [cs.RO]An Intent-based Task-aware Shared Control Framework for Intuitive Object Telemanipulation
    Michael Bowman, Xiaoli Zhang
    http://arxiv.org/abs/2003.03677v1

    • [cs.RO]Bayesian Particles on Cyclic Graphs
    Ana Pervan, Todd Murphey
    http://arxiv.org/abs/2003.03793v1

    • [cs.RO]Complexity of Planning
    Kiril Solovey
    http://arxiv.org/abs/2003.03632v1

    • [cs.RO]DFVS: Deep Flow Guided Scene Agnostic Image Based Visual Servoing
    Y V S Harish, Harit Pandya, Ayush Gaud, Shreya Terupally, Sai Shankar, K. Madhava Krishna
    http://arxiv.org/abs/2003.03766v1

    • [cs.RO]Deep Adversarial Reinforcement Learning for Object Disentangling
    Melvin Laux, Oleg Arenz, Jan Peters, Joni Pajarinen
    http://arxiv.org/abs/2003.03779v1

    • [cs.RO]Electronics-Free Pneumatic Logic Circuits for Localized Feedback Control of Multi-Actuator Soft Robots
    Ke Xu, Nestor O. Perez-Arancibia
    http://arxiv.org/abs/2003.03730v1

    • [cs.RO]Experimental Comparison of Global Motion Planning Algorithms for Wheeled Mobile Robots
    Eric Heiden, Luigi Palmieri, Kai O. Arras, Gaurav S. Sukhatme, Sven Koenig
    http://arxiv.org/abs/2003.03543v1

    • [cs.RO]Exploratory Study: Children’s with Autism Awareness of being Imitated by Nao Robot
    Andreea Peca, Adriana Tapus, Amir Aly, Cristina Pop, Lavinia Jisa, Sebastian Pintea, Alina Rusu, Daniel David
    http://arxiv.org/abs/2003.03528v1

    • [cs.RO]Fast Collision Probability Estimation Based on Finite-Dimensional Monte Carlo Method
    Zhang Hepeng, Quan Quan
    http://arxiv.org/abs/2003.03973v1

    • [cs.RO]Geometry-aware Compensation Scheme for Morphing Drones
    Amedeo Fabris, Kevin Kleber, Davide Falanga, Davide Scaramuzza
    http://arxiv.org/abs/2003.03929v1

    • [cs.RO]Hybrid Actuator Design for a Gait Augmentation Wearable
    Fang Wan, Zheng Wang, Brooke Franchuk, Xinyao Hu, Zhenglong Sun, Chaoyang Song
    http://arxiv.org/abs/2003.03586v1

    • [cs.RO]Learn and Transfer Knowledge of Preferred Assistance Strategies in Semi-autonomous Telemanipulation
    Lingfeng Tao, Michael Bowman, Xu Zhou, Xiaoli Zhang
    http://arxiv.org/abs/2003.03516v1

    • [cs.RO]Online Dynamic Motion Planning and Control for Wheeled Biped Robots
    Songyan Xin, Sethu Vijayakumar
    http://arxiv.org/abs/2003.03678v1

    • [cs.RO]Online Self-Supervised Learning for Object Picking: Detecting Optimum Grasping Position using a Metric Learning Approach
    Kanata Suzuki, Yasuto Yokota, Yuzi Kanazawa, Tomoyoshi Takebayashi
    http://arxiv.org/abs/2003.03717v1

    • [cs.RO]Overview of Tools Supporting Planning for Automated Driving
    Kailin Tong, Zlatan Ajanovic, Georg Stettinger
    http://arxiv.org/abs/2003.04081v1

    • [cs.RO]Probabilistic Egocentric Motion Correction of Lidar Point Cloud and Projection to Camera Images for Moving Platforms
    Mao Shan, Julie Stephany Berrio, Stewart Worrall, Eduardo Nebot
    http://arxiv.org/abs/2003.03954v1

    • [cs.RO]Probabilistic Framework for Constrained Manipulations and Task and Motion Planning under Uncertainty
    Jung-Su Ha, Danny Driess, Marc Toussaint
    http://arxiv.org/abs/2003.04259v1

    • [cs.RO]Robust, Occlusion-aware Pose Estimation for Objects Grasped by Adaptive Hands
    Bowen Wen, Chaitanya Mitash, Sruthi Soorian, Andrew Kimmel, Avishai Sintov, Kostas E. Bekris
    http://arxiv.org/abs/2003.03518v1

    • [cs.RO]Selecting and Designing Grippers for an Assembly Task in a Structured Approach
    Jingren Xu, Keisuke Koyama, Weiwei Wan, Yukiyasu Domae, Kensuke Harada
    http://arxiv.org/abs/2003.04087v1

    • [cs.RO]Task-Motion Planning for Safe and Efficient Urban Driving
    Yan Ding, Xiaohan Zhang, Xingyue Zhan, Shiqi Zhang
    http://arxiv.org/abs/2003.03807v1

    • [cs.RO]Tightly-coupled Fusion of Global Positional Measurements in Optimization-based Visual-Inertial Odometry
    Giovanni Cioffi, Davide Scaramuzza
    http://arxiv.org/abs/2003.04159v1

    • [cs.RO]Transferable Task Execution from Pixels through Deep Planning Domain Learning
    Kei Kase, Chris Paxton, Hammad Mazhar, Tetsuya Ogata, Dieter Fox
    http://arxiv.org/abs/2003.03726v1

    • [cs.SE]PUMiner: Mining Security Posts from Developer Question and Answer Websites with PU Learning
    Triet H. M. Le, David Hin, Roland Croft, M. Ali Babar
    http://arxiv.org/abs/2003.03741v1

    • [cs.SI]Discovering Strategic Behaviors for Collaborative Content-Production in Social Networks
    Yuxin Xiao, Adit Krishnan, Hari Sundaram
    http://arxiv.org/abs/2003.03670v1

    • [cs.SI]EMH: Extended Mixing H-index centrality for identification important users in social networks based on neighborhood diversity
    Pengli Lu, Chen Dong
    http://arxiv.org/abs/2003.03585v1

    • [cs.SI]Friend Recommendation based on Hashtags Analysis
    Ali Choumane, Zein Al Abidin Ibrahim
    http://arxiv.org/abs/2003.03531v1

    • [cs.SI]Frozen Binomials on the Web: Word Ordering and Language Conventions in Online Text
    Katherine Van Koevering, Austin R. Benson, Jon Kleinberg
    http://arxiv.org/abs/2003.03612v1

    • [cs.SI]Graph Clustering Via QUBO and Digital Annealing
    Pierre Miasnikof, Seo Hong, Yuri Lawryshyn
    http://arxiv.org/abs/2003.03872v1

    • [cs.SI]Local Hypergraph Clustering using Capacity Releasing Diffusion
    Rania Ibrahim, David F. Gleich
    http://arxiv.org/abs/2003.04213v1

    • [cs.SI]Novel version of PageRank, CheiRank and 2DRank for Wikipedia in Multilingual Network using Social Impact
    Célestin Coquidé, Włodzimierz Lewoniewski
    http://arxiv.org/abs/2003.04258v1

    • [cs.SI]The twitter explorer: a framework for observing Twitter through interactive networks
    Armin Pournaki, Felix Gaisbauer, Sven Banisch, Eckehard Olbrich
    http://arxiv.org/abs/2003.03599v1

    • [cs.SI]Traffic networks are vulnerable to disinformation attacks
    Marcin Waniek, Gururaghav Raman, Bedoor AlShebli, Jimmy Chih-Hsien Peng, Talal Rahwan
    http://arxiv.org/abs/2003.03723v1

    • [eess.AS]Deep Neural Networks for Automatic Speech Processing: A Survey from Large Corpora to Limited Data
    Vincent Roger, Jérôme Farinas, Julien Pinquier
    http://arxiv.org/abs/2003.04241v1

    • [eess.AS]Improving noise robust automatic speech recognition with single-channel time-domain enhancement network
    Keisuke Kinoshita, Tsubasa Ochiai, Marc Delcroix, Tomohiro Nakatani
    http://arxiv.org/abs/2003.03998v1

    • [eess.AS]Tackling real noisy reverberant meetings with all-neural source separation, counting, and diarization system
    Keisuke Kinoshita, Marc Delcroix, Shoko Araki, Tomohiro Nakatani
    http://arxiv.org/abs/2003.03987v1

    • [eess.AS]Toward Cross-Domain Speech Recognition with End-to-End Models
    Thai-Son Nguyen, Sebastian Stüker, Alex Waibel
    http://arxiv.org/abs/2003.04194v1

    • [eess.IV]Deep Learning Guided Undersampling Mask Design for MR Image Reconstruction
    Shengke Xue, Ruiliang Bai, Xinyu Jin
    http://arxiv.org/abs/2003.03797v1

    • [eess.IV]Endoscopy disease detection challenge 2020
    Sharib Ali, Noha Ghatwary, Barbara Braden, Dominique Lamarque, Adam Bailey, Stefano Realdon, Renato Cannizzaro, Jens Rittscher, Christian Daul, James East
    http://arxiv.org/abs/2003.03376v1

    • [eess.IV]Learned Spectral Computed Tomography
    Dimitris Kamilis, Mario Blatter, Nick Polydorides
    http://arxiv.org/abs/2003.04138v1

    • [eess.SP]Decentralized SGD with Over-the-Air Computation
    Emre Ozfatura, Stefano Rini, Deniz Gunduz
    http://arxiv.org/abs/2003.04216v1

    • [eess.SP]Sampling on Graphs: From Theory to Applications
    Yuichi Tanaka, Yonina C. Eldar, Antonio Ortega, Gene Cheung
    http://arxiv.org/abs/2003.03957v1

    • [eess.SY]Staging energy sources to extend flight time of a multirotor UAV
    Karan P. Jain, Jerry Tang, Koushil Sreenath, Mark W. Mueller
    http://arxiv.org/abs/2003.04290v1

    • [math.DG]Discrete Morse Theory, Persistent Homology and Forman-Ricci Curvature
    Emil Saucan
    http://arxiv.org/abs/2003.03844v1

    • [math.NA]Toeplitz Monte Carlo
    Josef Dick, Takashi Goda, Hiroya Murata
    http://arxiv.org/abs/2003.03915v1

    • [math.OC]Complete Hierarchy of Relaxation for Constrained Signomial Positivity
    Allen Houze Wang, Priyank Jaini, Yaoliang Yu, Pascal Poupart
    http://arxiv.org/abs/2003.03731v1

    • [math.OC]Convergence of Q-value in case of Gaussian rewards
    Konatsu Miyamoto, Masaya Suzuki, Yuma Kigami, Kodai Satake
    http://arxiv.org/abs/2003.03526v1

    • [math.OC]Stochastic Modified Equations for Continuous Limit of Stochastic ADMM
    Xiang Zhou, Huizhuo Yuan, Chris Junchi Li, Qingyun Sun
    http://arxiv.org/abs/2003.03532v1

    • [math.PR]Limiting distributions for eigenvalues of sample correlation matrices from heavy-tailed populations
    Johannes Heiny, Jianfeng Yao
    http://arxiv.org/abs/2003.03857v1

    • [math.PR]The rencontre problem
    F. Thomas Bruss, Philip A. Ernst, Dongzhou Huang
    http://arxiv.org/abs/2003.03863v1

    • [math.ST]Divided Differences, Falling Factorials, and Discrete Splines: Another Look at Trend Filtering and Related Problems
    Ryan J. Tibshirani
    http://arxiv.org/abs/2003.03886v1

    • [math.ST]Information criteria for inhomogeneous spatial point processes
    Achmad Choiruddin, Jean-François Coeurjolly, Rasmus Waagepetersen
    http://arxiv.org/abs/2003.03880v1

    • [math.ST]Local Power of Tests of Fit for Normality of Autoregression
    Michael Boldin
    http://arxiv.org/abs/2003.03615v1

    • [math.ST]Modeling temporally uncorrelated components for complex-valued stationary processes
    Niko Lietzén, Lauri Viitasaari, Pauliina Ilmonen
    http://arxiv.org/abs/2003.04199v1

    • [math.ST]Principal Moment Analysis
    Magnus Fontes, Rasmus Henningsson
    http://arxiv.org/abs/2003.04208v1

    • [math.ST]Spatial dependence and space-time trend in extreme events
    John H. J. Einmahl, Ana Ferreira, Laurens de Haan, Claudia Neves, Chen Zhou
    http://arxiv.org/abs/2003.04265v1

    • [math.ST]When are Bayesian model probabilities overconfident?
    Oscar Oelrich, Shutong Ding, Måns Magnusson, Aki Vehtari, Mattias Villani
    http://arxiv.org/abs/2003.04026v1

    • [physics.comp-ph]CUBE — Towards an Optimal Scaling of Cosmological N-body Simulations
    Shenggan Cheng, Hao-Ran Yu, Derek Inman, Qiucheng Liao, Qiaoya Wu, James Lin
    http://arxiv.org/abs/2003.03931v1

    • [physics.comp-ph]Discovering Symmetry Invariants and Conserved Quantities by Interpreting Siamese Neural Networks
    Sebastian J. Wetzel, Roger G. Melko, Joseph Scott, Maysum Panju, Vijay Ganesh
    http://arxiv.org/abs/2003.04299v1

    • [physics.comp-ph]Machine learning based non-Newtonian fluid model with molecular fidelity
    Huan Lei, Lei Wu, Weinan E
    http://arxiv.org/abs/2003.03672v1

    • [physics.ed-ph]Combining surveys and sensors to explore student behaviour
    Inkeri Kontro, Mathieu Génois
    http://arxiv.org/abs/2003.04137v1

    • [physics.ins-det]Hybrid calibration procedure for fringe projection profilometry based on stereo-vision and polynomial fitting
    Raul Vargas, Andres G. Marrugo, Song Zhang, Lenny A. Romero
    http://arxiv.org/abs/2003.04168v1

    • [physics.med-ph]Novel Radiomic Feature for Survival Prediction of Lung Cancer Patients using Low-Dose CBCT Images
    Bijju Kranthi Veduruparthi, Jayanta Mukherjee, Partha Pratim Das, Moses Arunsingh, Raj Kumar Shrimali, Sriram Prasath, Soumendranath Ray, Sanjay Chatterjee
    http://arxiv.org/abs/2003.03537v1

    • [physics.soc-ph]Ranking the spreading influence of nodes in complex networks based on mixing degree centrality and local structure
    Pengli Lu, Chen Dong
    http://arxiv.org/abs/2003.03583v1

    • [q-bio.NC]Discrimination Among Multiple Cutaneous and Proprioceptive Hand Percepts Evoked by Nerve Stimulation with Utah Slanted Electrode Arrays in Human Amputees
    David M. Page, Suzanne M. Wendelken, Tyler S. Davis, David T. Kluger, Douglas T. Hutchinson, Jacob A. George, Gregory A. Clark
    http://arxiv.org/abs/2003.03626v1

    • [q-bio.NC]Spike-Timing-Dependent Inference of Synaptic Weights
    Nasir Ahmad, Luca Ambrogioni, Marcel A. J. van Gerven
    http://arxiv.org/abs/2003.03988v1

    • [stat.AP]Cheap, robust and low carbon: comparing district heating scenarios using stochastic ordering
    Victoria Volodina, Edward Wheatcroft, Henry Wynn
    http://arxiv.org/abs/2003.04170v1

    • [stat.CO]A 1000-fold Acceleration of Hidden Markov Model Fitting using Graphical Processing Units, with application to Nonvolcanic Tremor Classification
    Marnus Stoltz, Gene Stoltz, Kazushige Obara, Ting Wang, David Bryant
    http://arxiv.org/abs/2003.03508v1

    • [stat.CO]The Fast Loaded Dice Roller: A Near-Optimal Exact Sampler for Discrete Probability Distributions
    Feras A. Saad, Cameron E. Freer, Martin C. Rinard, Vikash K. Mansinghka
    http://arxiv.org/abs/2003.03830v1

    • [stat.CO]evgam: An R package for Generalized Additive Extreme Value Models
    Benjamin D. Youngman
    http://arxiv.org/abs/2003.04067v1

    • [stat.ME]An efficient Gehan-type estimation for the accelerated failure time model with clustered and censored data
    Liya Fu, Zhuoran Yang, Yan Zhou, You-Gan Wang
    http://arxiv.org/abs/2003.03948v1

    • [stat.ME]Assessment of Heterogeneous Treatment Effect Estimation Accuracy via Matching
    Zijun Gao, Trevor Hastie, Robert Tibshirani
    http://arxiv.org/abs/2003.03881v1

    • [stat.ME]Differential Network Analysis: A Statistical Perspective
    Ali Shojaie
    http://arxiv.org/abs/2003.04235v1

    • [stat.ME]Discovering contemporaneous and lagged causal relations in autocorrelated nonlinear time series datasets
    Jakob Runge
    http://arxiv.org/abs/2003.03685v1

    • [stat.ME]Ensemble Binary Segmentation for irregularly spaced data with change-points
    Karolos K. Korkas
    http://arxiv.org/abs/2003.03649v1

    • [stat.ME]Exact Inference of Linear Dependence Between Multiple Autocorrelated Time Series
    Oliver M. Cliff, Leonardo Novelli, Ben D. Fulcher, James M. Shine, Joseph T. Lizier
    http://arxiv.org/abs/2003.03887v1

    • [stat.ME]Fast Bayesian Record Linkage With Record-Specific Disagreement Parameters
    Thomas Stringham
    http://arxiv.org/abs/2003.04238v1

    • [stat.ME]High-dimensional, multiscale online changepoint detection
    Yudong Chen, Tengyao Wang, Richard J. Samworth
    http://arxiv.org/abs/2003.03668v1

    • [stat.ME]The NuZZ: Numerical ZigZag Sampling for General Models
    Simon Cotter, Thomas House, Filippo Pagani
    http://arxiv.org/abs/2003.03636v1

    • [stat.ML]Amortized variance reduction for doubly stochastic objectives
    Ayman Boustati, Sattar Vakili, James Hensman, ST John
    http://arxiv.org/abs/2003.04125v1

    • [stat.ML]Angle-Based Cost-Sensitive Multicategory Classification
    Yi Yang, Yuxuan Guo, Xiangyu Chang
    http://arxiv.org/abs/2003.03691v1

    • [stat.ML]Composition of kernel and acquisition functions for High Dimensional Bayesian Optimization
    Antonio Candelieri, Ilaria Giordani, Riccardo Perego, Francesco Archetti
    http://arxiv.org/abs/2003.04207v1

    • [stat.ML]Diffusion State Distances: Multitemporal Analysis, Fast
    872
    Algorithms, and Applications to Biological Networks
    Lenore Cowen, Kapil Devkota, Xiaozhe Hu, James M. Murphy, Kaiyi Wu
    http://arxiv.org/abs/2003.03616v1

    • [stat.ML]Getting Better from Worse: Augmented Bagging and a Cautionary Tale of Variable Importance
    Lucas Mentch, Siyu Zhou
    http://arxiv.org/abs/2003.03629v1

    • [stat.ML]Large-scale benchmark study of survival prediction methods using multi-omics data
    Moritz Herrmann, Philipp Probst, Roman Hornung, Vindi Jurinovic, Anne-Laure Boulesteix
    http://arxiv.org/abs/2003.03621v1

    • [stat.ML]Manifold Regularization for Adversarial Robustness
    Charles Jin, Martin Rinard
    http://arxiv.org/abs/2003.04286v1

    • [stat.ML]Prediction with Spatio-temporal Point Processes with Self Organizing Decision Trees
    Oguzhan Karaahmetoglu, Suleyman Serdar Kozat
    http://arxiv.org/abs/2003.03657v1

    • [stat.ML]QTIP: Quick simulation-based adaptation of Traffic model per Incident Parameters
    Inon Peled, Raghuveer Kamalakar, Carlos Lima Azevedo, Francisco C. Pereira
    http://arxiv.org/abs/2003.04109v1

    • [stat.ML]Stochastic Recursive Momentum for Policy Gradient Methods
    Huizhuo Yuan, Xiangru Lian, Ji Liu, Yuren Zhou
    http://arxiv.org/abs/2003.04302v1

    • [stat.OT]Anna Karenina and The Two Envelopes Problem
    R. D. Gill
    http://arxiv.org/abs/2003.04008v1