astro-ph.IM - 仪器仪表和天体物理学方法

    cond-mat.quant-gas - 量子气体 cs.AI - 人工智能 cs.CG - 计算几何学 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.DB - 数据库 cs.DC - 分布式、并行与集群计算 cs.DL - 数字图书馆 cs.DS - 数据结构与算法 cs.GT - 计算机科学与博弈论 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.LO - 计算逻辑 cs.MA - 多代理系统 cs.NE - 神经与进化计算 cs.NI - 网络和互联网体系结构 cs.RO - 机器人学 cs.SD - 声音处理 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 hep-lat - 高能物理晶格 math.CO - 组合数学 math.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 physics.data-an - 数据分析、 统计和概率 physics.soc-ph - 物理学与社会 q-bio.NC - 神经元与认知 q-bio.OT - 其他定量生物学 q-bio.QM - 定量方法 quant-ph - 量子物理 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [astro-ph.IM]PSF—NET: A Non-parametric Point Spread Function Model for Ground Based Optical Telescopes
    • [astro-ph.IM]Stochastic Calibration of Radio Interferometers
    • [cond-mat.quant-gas]Single-exposure absorption imaging of ultracold atoms using deep learning
    • [cs.AI]A general framework for scientifically inspired explanations in AI
    • [cs.AI]An Evaluation of Knowledge Graph Embeddings for Autonomous Driving Data: Experience and Practice
    • [cs.AI]BARD: A structured technique for group elicitation of Bayesian networks to support analytic reasoning
    • [cs.AI]Causal Learning by a Robot with Semantic-Episodic Memory in an Aesop’s Fable Experiment
    • [cs.AI]Causal Transfer for Imitation Learning and Decision Making under Sensor-shift
    • [cs.AI]Data Pre-Processing and Evaluating the Performance of Several Data Mining Methods for Predicting Irrigation Water Requirement
    • [cs.AI]Detection and Mitigation of Bias in Ted Talk Ratings
    • [cs.AI]Differential Evolution with Individuals Redistribution for Real Parameter Single Objective Optimization
    • [cs.AI]EXPLAIN-IT: Towards Explainable AI for Unsupervised Network Traffic Analysis
    • [cs.AI]Environment-agnostic Multitask Learning for Natural Language Grounded Navigation
    • [cs.AI]GPM: A Generic Probabilistic Model to Recover Annotator’s Behavior and Ground Truth Labeling
    • [cs.AI]Hierarchical Context Enhanced Multi-Domain Dialogue System for Multi-domain Task Completion
    • [cs.AI]Knowledge Graphs on the Web — an Overview
    • [cs.AI]Learning and Solving Regular Decision Processes
    • [cs.AI]Learning to Simulate Human Movement
    • [cs.AI]Model Assertions for Monitoring and Improving ML Model
    • [cs.AI]On the Existence of Characterization Logics and Fundamental Properties of Argumentation Semantics
    • [cs.AI]Permutohedral-GCN: Graph Convolutional Networks with Global Attention
    • [cs.AI]Predicting A Creator’s Preferences In, and From, Interactive Generative Art
    • [cs.AI]Reachability Analysis for Feed-Forward Neural Networks using Face Lattices
    • [cs.AI]Towards information-rich, logical text generation with knowledge-enhanced neural models
    • [cs.AI]UFTR: A Unified Framework for Ticket Routing
    • [cs.AI]V2I Connectivity-Based Dynamic Queue-Jumper Lane for Emergency Vehicles: An Approximate Dynamic Programming Approach
    • [cs.AI]What Emotions Make One or Five Stars? Understanding Ratings of Online Product Reviews by Sentiment Analysis and XAI
    • [cs.CG]Shape analysis via inconsistent surface registration
    • [cs.CL]AraBERT: Transformer-based Model for Arabic Language Understanding
    • [cs.CL]Benchmark Performance of Machine And Deep Learning Based Methodologies for Urdu Text Document Classification
    • [cs.CL]CLUECorpus2020: A Large-scale Chinese Corpus for Pre-trainingLanguage Model
    • [cs.CL]Clinical Text Summarization with Syntax-Based Negation and Semantic Concept Identification
    • [cs.CL]Controllable Time-Delay Transformer for Real-Time Punctuation Prediction and Disfluency Detection
    • [cs.CL]Depth-Adaptive Graph Recurrent Network for Text Classification
    • [cs.CL]Hybrid Generative-Retrieval Transformers for Dialogue Domain Adaptation
    • [cs.CL]Identification of primary and collateral tracks in stuttered speech
    • [cs.CL]Improving Candidate Generation for Low-resource Cross-lingual Entity Linking
    • [cs.CL]Improving Uyghur ASR systems with decoders using morpheme-based language models
    • [cs.CL]Learning from Easy to Complex: Adaptive Multi-curricula Learning for Neural Dialogue Generation
    • [cs.CL]Med7: a transferable clinical natural language processing model for electronic health records
    • [cs.CL]Meta-Embeddings Based On Self-Attention
    • [cs.CL]Multi-Task Learning Network for Emotion Recognition in Conversation
    • [cs.CL]Multi-View Learning for Vision-and-Language Navigation
    • [cs.CL]Natural Language Processing Advancements By Deep Learning: A Survey
    • [cs.CL]PhoBERT: Pre-trained language models for Vietnamese
    • [cs.CL]Seshat: A tool for managing and verifying annotation campaigns of audio data
    • [cs.CL]StructSum: Incorporating Latent and Explicit Sentence Dependencies for Single Document Summarization
    • [cs.CL]Style Example-Guided Text Generation using Generative Adversarial Transformers
    • [cs.CL]Transfer Learning for Context-Aware Spoken Language Understanding
    • [cs.CL]Voice trigger detection from LVCSR hypothesis lattices using bidirectional lattice recurrent neural networks
    • [cs.CL]XGPT: Cross-modal Generative Pre-Training for Image Captioning
    • [cs.CR]1D CNN Based Network Intrusion Detection with Normalization on Imbalanced Data
    • [cs.CR]Assuring the Integrity of Videos from Wireless-based IoT Devices using Blockchain
    • [cs.CR]Authentication, Access Control, Privacy, Threats and Trust Management Towards Securing Fog Computing Environments: A Review
    • [cs.CR]Differential Privacy at Risk: Bridging Randomness and Privacy Budget
    • [cs.CR]Exploring Backdoor Poisoning Attacks Against Malware Classifiers
    • [cs.CR]Gimme That Model!: A Trusted ML Model Trading Protocol
    • [cs.CR]Improving Sustainability of Cryptocurrency Payment Networks for IoT Applications
    • [cs.CV]3D Object Detection From LiDAR Data Using Distance Dependent Feature Extraction
    • [cs.CV]3D Point Cloud Processing and Learning for Autonomous Driving
    • [cs.CV]3D dynamic hand gestures recognition using the Leap Motion sensor and convolutional neural networks
    • [cs.CV]A Novel Recurrent Encoder-Decoder Structure for Large-Scale Multi-view Stereo Reconstruction from An Open Aerial Dataset
    • [cs.CV]A-TVSNet: Aggregated Two-View Stereo Network for Multi-View Stereo Depth Estimation
    • [cs.CV]Always Look on the Bright Side of the Field: Merging Pose and Contextual Data to Estimate Orientation of Soccer Players
    • [cs.CV]Augmenting Visual Place Recognition with Structural Cues
    • [cs.CV]BATS: Binary ArchitecTure Search
    • [cs.CV]Bio-Inspired Modality Fusion for Active Speaker Detection
    • [cs.CV]Cops-Ref: A new Dataset and Task on Compositional Referring Expression Comprehension
    • [cs.CV]D3VO: Deep Depth, Deep Pose and Deep Uncertainty for Monocular Visual Odometry
    • [cs.CV]DEEVA: A Deep Learning and IoT Based Computer Vision System to Address Safety and Security of Production Sites in Energy Industry
    • [cs.CV]Data-Free Adversarial Perturbations for Practical Black-Box Attack
    • [cs.CV]Deep Active Learning for Biased Datasets via Fisher Kernel Self-Supervision
    • [cs.CV]Deep Attention Aware Feature Learning for Person Re-Identification
    • [cs.CV]Deep Image Spatial Transformation for Person Image Generation
    • [cs.CV]Deep Learning for Content-based Personalized Viewport Prediction of 360-Degree VR Videos
    • [cs.CV]Deep Learning for Content-based Personalized Viewport Prediction of 360-Degree VR Videos
    • [cs.CV]Deep Multi-Modal Sets
    • [cs.CV]DeepSperm: A robust and real-time bull sperm-cell detection in densely populated semen videos
    • [cs.CV]DiPE: Deeper into Photometric Errors for Unsupervised Learning of Depth and Ego-motion from Monocular Videos
    • [cs.CV]Disentangling Physical Dynamics from Unknown Factors for Unsupervised Video Prediction
    • [cs.CV]Disrupting DeepFakes: Adversarial Attacks Against Conditional Image Translation Networks and Facial Manipulation Systems
    • [cs.CV]Distilled Hierarchical Neural Ensembles with Adaptive Inference Cost
    • [cs.CV]DriverMHG: A Multi-Modal Dataset for Dynamic Recognition of Driver Micro Hand Gestures and a Real-Time Recognition Framework
    • [cs.CV]Energy-efficient and Robust Cumulative Training with Net2Net Transformation
    • [cs.CV]Extremely Dense Point Correspondences using a Learned Feature Descriptor
    • [cs.CV]FMT:Fusing Multi-task Convolutional Neural Network for Person Search
    • [cs.CV]Fast Lidar Clustering by Density and Connectivity
    • [cs.CV]Few-shot Learning with Weakly-supervised Object Localization
    • [cs.CV]Fine-grained Video-Text Retrieval with Hierarchical Graph Reasoning
    • [cs.CV]Fully Convolutional Networks for Automatically Generating Image Masks to Train Mask R-CNN
    • [cs.CV]GPU-Accelerated Mobile Multi-view Style Transfer
    • [cs.CV]Gastric histopathology image segmentation using a hierarchical conditional random field
    • [cs.CV]Gated Fusion Network for Degraded Image Super Resolution
    • [cs.CV]Global Context-Aware Progressive Aggregation Network for Salient Object Detection
    • [cs.CV]Holistically-Attracted Wireframe Parsing
    • [cs.CV]Identity Recognition in Intelligent Cars with Behavioral Data and LSTM-ResNet Classifier
    • [cs.CV]Image Matching across Wide Baselines: From Paper to Practice
    • [cs.CV]Implicit Functions in Feature Space for 3D Shape Reconstruction and Completion
    • [cs.CV]Intelligent Home 3D: Automatic 3D-House Design from Linguistic Descriptions Only
    • [cs.CV]Joint Wasserstein Distribution Matching
    • [cs.CV]Learn2Perturb: an End-to-end Feature Perturbation Learning to Improve Adversarial Robustness
    • [cs.CV]Learned Enrichment of Top-View Grid Maps Improves Object Detection
    • [cs.CV]Learning Depth via Interaction
    • [cs.CV]Learning Texture Invariant Representation for Domain Adaptation of Semantic Segmentation
    • [cs.CV]Learning When and Where to Zoom with Deep Reinforcement Learning
    • [cs.CV]Learning from Suspected Target: Bootstrapping Performance for Breast Cancer Detection in Mammography
    • [cs.CV]Learning to Deblur and Generate High Frame Rate Video with an Event Camera
    • [cs.CV]LiDARNet: A Boundary-Aware Domain Adaptation Model for Lidar Point Cloud Semantic Segmentation
    • [cs.CV]Long Short-Term Sample Distillation
    • [cs.CV]MRI Super-Resolution with GAN and 3D Multi-Level DenseNet: Smaller, Faster, and Better
    • [cs.CV]MVC-Net: A Convolutional Neural Network Architecture for Manifold-Valued Images With Applications
    • [cs.CV]Matching Neuromorphic Events and Color Images via Adversarial Learning
    • [cs.CV]MonoPair: Monocular 3D Object Detection Using Pairwise Spatial Relationships
    • [cs.CV]PF-Net: Point Fractal Network for 3D Point Cloud Completion
    • [cs.CV]Plug & Play Convolutional Regression Tracker for Video Object Detection
    • [cs.CV]Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud
    • [cs.CV]PointASNL: Robust Point Clouds Processing using Nonlocal Neural Networks with Adaptive Sampling
    • [cs.CV]Relational Deep Feature Learning for Heterogeneous Face Recognition
    • [cs.CV]Rethinking Fully Convolutional Networks for the Analysis of Photoluminescence Wafer Images
    • [cs.CV]Rethinking Zero-shot Video Classification: End-to-end Training for Realistic Applications
    • [cs.CV]STC-Flow: Spatio-temporal Context-aware Optical Flow Estimation
    • [cs.CV]Say As You Wish: Fine-grained Control of Image Caption Generation with Abstract Scene Graphs
    • [cs.CV]Single-Shot Pose Estimation of Surgical Robot Instruments’ Shafts from Monocular Endoscopic Images
    • [cs.CV]SketchGCN: Semantic Sketch Segmentation with Graph Convolutional Networks
    • [cs.CV]Soft-Root-Sign Activation Function
    • [cs.CV]State-Aware Tracker for Real-Time Video Object Segmentation
    • [cs.CV]The Sloop System for Individual Animal Identification with Deep Learning
    • [cs.CV]Towards Automatic Face-to-Face Translation
    • [cs.CV]Towards Noise-resistant Object Detection with Noisy Annotations
    • [cs.CV]Towards Unconstrained Palmprint Recognition on Consumer Devices: a Literature Review
    • [cs.CV]Trained Model Fusion for Object Detection using Gating Network
    • [cs.CV]UDD: An Underwater Open-sea Farm Object Detection Dataset for Underwater Robot Picking
    • [cs.CV]Unbiased Mean Teacher for Cross Domain Object Detection
    • [cs.CV]Understanding Contexts Inside Robot and Human Manipulation Tasks through a Vision-Language Model and Ontology System in a Video Stream
    • [cs.CV]Unsupervised Domain Adaptation for Mammogram Image Classification: A Promising Tool for Model Generalization
    • [cs.CV]Unsupervised Learning of Depth, Optical Flow and Pose with Occlusion from 3D Geometry
    • [cs.CV]Unsupervised Learning of Intrinsic Structural Representation Points
    • [cs.CV]VAE/WGAN-Based Image Representation Learning For Pose-Preserving Seamless Identity Replacement In Facial Images
    • [cs.CV]Volumetric landmark detection with a multi-scale shift equivariant neural network
    • [cs.CV]What’s the relationship between CNNs and communication systems?
    • [cs.CV]ZoomNet: Part-Aware Adaptive Zooming Neural Network for 3D Object Detection
    • [cs.CV]multi-patch aggregation models for resampling detection
    • [cs.CY]Marketplace for AI Models
    • [cs.CY]The Magic Word: A Coding Tutorial-Game to Engage Female Teenagers in App Design
    • [cs.CY]Toward equipping Artificial Moral Agents with multiple ethical theories
    • [cs.CY]Unsafe At Any Level: NHTSA’s levels of automation are a liability for autonomous vehicle design and regulation
    • [cs.DB]Evaluating Temporal Queries Over Video Feeds
    • [cs.DC]A New MRAM-based Process In-Memory Accelerator for Efficient Neural Network Training with Floating Point Precision
    • [cs.DC]A Note on Latency Variability of Deep Neural Networks for Mobile Inference
    • [cs.DC]A Survey on Big Data for Network Traffic Monitoring and Analysis
    • [cs.DC]AutoPhase: Juggling HLS Phase Orderings in Random Forests with Deep Reinforcement Learning
    • [cs.DC]Bipartisan Paxos: A Modular State Machine Replication Protocol
    • [cs.DC]Concurrent Disjoint Set Union
    • [cs.DC]Dynamic Graph Operations: A Consistent Non-blocking Approach
    • [cs.DC]Enumerating Hardware-Software Splits with Program Rewriting
    • [cs.DC]Fast Gunrock Subgraph Matching (GSM) on GPUs
    • [cs.DC]FlexServe: Deployment of PyTorch Models as Flexible REST Endpoints
    • [cs.DC]Graph3S: A Simple, Speedy and Scalable Distributed Graph Processing System
    • [cs.DC]HPC as a Service: A naive model
    • [cs.DC]High Performance Parallel Sort for Shared and Distributed Memory MIMD
    • [cs.DC]On-the-fly Optimization of Parallel Computation of Symbolic Symplectic Invariants
    • [cs.DC]Performance Optimization for Edge-Cloud Serverless Platforms via Dynamic Task Placement
    • [cs.DC]Reconfigurable Parallel Architecture of High Speed Round Robin Arbiter
    • [cs.DC]VAT: Asymptotic Cost Analysis for Multi-Level Key-Value Stores
    • [cs.DL]China may need to support more small teams in scientific research
    • [cs.DS]A General Framework for Symmetric Property Estimation
    • [cs.DS]Contextual Search for General Hypothesis Classes
    • [cs.DS]Massively Parallel Algorithms for Distance Approximation and Spanners
    • [cs.DS]Recent Advances in Scalable Network Generation
    • [cs.DS]Scalable Distributed Approximation of Internal Measures for Clustering Evaluation
    • [cs.GT]A Permutation-Equivariant Neural Network Architecture For Auction Design
    • [cs.HC]Convo: What does conversational programming need? An exploration of machine learning interface design
    • [cs.HC]Digital Collaborator: Augmenting Task Abstraction in Visualization Design with Artificial Intelligence
    • [cs.HC]Evidence-based explanation to promote fairness in AI systems
    • [cs.HC]Investigating Social Haptic Illusions for Tactile Stroking (SHIFTS)
    • [cs.HC]Understanding the Prediction Mechanism of Sentiments by XAI Visualization
    • [cs.IR]A Survey on Knowledge Graph-Based Recommender Systems
    • [cs.IR]Federating Recommendations Using Differentially Private Prototypes
    • [cs.IR]Image Hashing by Minimizing Independent Relaxed Wasserstein Distance
    • [cs.IR]Jointly Learning to Recommend and Advertise
    • [cs.IR]The STEM-ECR Dataset: Grounding Scientific Entity References in STEM Scholarly Content to Authoritative Encyclopedic and Lexicographic Sources
    • [cs.IR]Using Image Captions and Multitask Learning for Recommending Query Reformulations
    • [cs.IR]Viewing the Progression of the Novel Corona Virus (COVID-19) with NewsStand
    • [cs.IT]A new method for constructing EAQEC MDS codes
    • [cs.IT]Accelerating Generalized Benders Decomposition for Wireless Resource Allocation
    • [cs.IT]Adaptive Millimeter-Wave Communications Exploiting Mobility and Blockage Dynamics
    • [cs.IT]AoI and Energy Consumption Oriented Dynamic Status Updating in Caching Enabled IoT Networks
    • [cs.IT]Average Age of Changed Information in the Internet of Things
    • [cs.IT]Bayesian Receiver Design for Grant-Free NOMA with Message Passing Based Structured Signal Estimation
    • [cs.IT]Code-domain NOMA in Massive MIMO: When is it Needed?
    • [cs.IT]Deep Reinforcement Learning for Fresh Data Collection in UAV-assisted IoT Networks
    • [cs.IT]Downlink Secrecy Rate of One-Bit Massive MIMO System with Active Eavesdropping
    • [cs.IT]Impact of Spatially Consistent Channels on Digital Beamforming for Millimeter-Wave Systems
    • [cs.IT]Intelligent Reflecting Surface Assisted Multi-User OFDMA: Channel Estimation and Training Design
    • [cs.IT]Intelligent UAV Base Station Selection in Urban Environments: A Supervised Learning Approach
    • [cs.IT]OTFS Based Receiver Scheme With Multi-Antennas in High-Mobility V2X Systems
    • [cs.IT]On Dominant Interference in Random Networks and Communication Reliability
    • [cs.IT]On the Probability of Erasure for MIMO-OFDM
    • [cs.IT]Optimal Constant-Weight Codes under $l_1$-Metric
    • [cs.IT]Predictive Control and Communication Co-Design: A Gaussian Process Regression Approach
    • [cs.IT]Real-Time Implementation Aspects of Large Intelligent Surfaces
    • [cs.IT]Smooth Strongly Convex Regression
    • [cs.IT]The Rate Distortion Function of Asynchronously Sampled Memoryless Cyclostationary Gaussian Processes
    • [cs.IT]Timely Synchronization with Sporadic Status Changes
    • [cs.LG]A Hybrid Stochastic Policy Gradient Algorithm for Reinforcement Learning
    • [cs.LG]A review of machine learning applications in wildfire science and management
    • [cs.LG]Adaptive Federated Optimization
    • [cs.LG]Addressing target shift in zero-shot learning using grouped adversarial learning
    • [cs.LG]Advanced kNN: A Mature Machine Learning Series
    • [cs.LG]Adversarial Attacks and Defenses on Graphs: A Review and Empirical Study
    • [cs.LG]An Equivalence Between Private Classification and Online Prediction
    • [cs.LG]An Information-Theoretic Approach to Explainable Machine Learning
    • [cs.LG]An Online Learning Framework for Energy-Efficient Navigation of Electric Vehicles
    • [cs.LG]Analyzing Accuracy Loss in Randomized Smoothing Defenses
    • [cs.LG]Asynchronous Policy Evaluation in Distributed Reinforcement Learning over Networks
    • [cs.LG]Automatic Differentiation Variational Inference with Mixtures
    • [cs.LG]BASGD: Buffered Asynchronous SGD for Byzantine Learning
    • [cs.LG]Batch Stationary Distribution Estimation
    • [cs.LG]Bayesian Neural Networks With Maximum Mean Discrepancy Regularization
    • [cs.LG]Benchmarking Graph Neural Networks
    • [cs.LG]Better Depth-Width Trade-offs for Neural Networks through the lens of Dynamical Systems
    • [cs.LG]Bounded Regret for Finitely Parameterized Multi-Armed Bandits
    • [cs.LG]Budget-Constrained Bandits over General Cost and Reward Distributions
    • [cs.LG]CRATOS: Cogination of Reliable Algorithm for Time-series Optimal Solution
    • [cs.LG]Can Increasing Input Dimensionality Improve Deep Reinforcement Learning?
    • [cs.LG]Cluster-Based Social Reinforcement Learning
    • [cs.LG]Compact Surjective Encoding Autoencoder for Unsupervised Novelty Detection
    • [cs.LG]Contextual Policy Reuse using Deep Mixture Models
    • [cs.LG]Contextual-Bandit Based Personalized Recommendation with Time-Varying User Interests
    • [cs.LG]Curriculum By Texture
    • [cs.LG]DETECT: Deep Trajectory Clustering for Mobility-Behavior Analysis
    • [cs.LG]Decision Trees for Decision-Making under the Predict-then-Optimize Framework
    • [cs.LG]Deep Survival Machines: Fully Parametric Survival Regression and Representation Learning for Censored Data with Competing Risks
    • [cs.LG]Demonstrating Rosa: the fairness solution for any Data Analytic pipeline
    • [cs.LG]Determination of Latent Dimensionality in International Trade Flow
    • [cs.LG]Differentiable Causal Backdoor Discovery
    • [cs.LG]Differentially Private Deep Learning with Smooth Sensitivity
    • [cs.LG]Distributed Momentum for Byzantine-resilient Learning
    • [cs.LG]Double Trouble in Double Descent : Bias and Variance(s) in the Lazy Regime
    • [cs.LG]Efficient Exploration in Constrained Environments with Goal-Oriented Reference Path
    • [cs.LG]Ego-based Entropy Measures for Structural Representations
    • [cs.LG]Evaluation Framework For Large-scale Federated Learning
    • [cs.LG]EvoNet: A Neural Network for Predicting the Evolution of Dynamic Graphs
    • [cs.LG]Explaining Groups of Points in Low-Dimensional Representations
    • [cs.LG]Fast Predictive Uncertainty for Classification with Bayesian Deep Networks
    • [cs.LG]Gaussian Process Policy Optimization
    • [cs.LG]Heterogeneous Graph Transformer
    • [cs.LG]Hierarchically Decoupled Imitation for Morphological Transfer
    • [cs.LG]Learn to Generate Time Series Conditioned Graphs with Generative Adversarial Nets
    • [cs.LG]Learning Contact-Rich Manipulation Tasks with Rigid Position-Controlled Robots: Learning to Force Control
    • [cs.LG]Learning Context-aware Task Reasoning for Efficient Meta-reinforcement Learning
    • [cs.LG]Learning from Positive and Unlabeled Data by Identifying the Annotation Process
    • [cs.LG]MBGD-RDA Training and Rule Pruning for Concise TSK Fuzzy Regression Models
    • [cs.LG]MPC-guided Imitation Learning of Neural Network Policies for the Artificial Pancreas
    • [cs.LG]Model Selection in Contextual Stochastic Bandit Problems
    • [cs.LG]Novelty-Prepared Few-Shot Classification
    • [cs.LG]On the Global Convergence of Training Deep Linear ResNets
    • [cs.LG]Online Agnostic Boosting via Regret Minimization
    • [cs.LG]Online Joint Bid/Daily Budget Optimization of Internet Advertising Campaigns
    • [cs.LG]Out-of-Distribution Generalization via Risk Extrapolation (REx)
    • [cs.LG]Pattern Similarity-based Machine Learning Methods for Mid-term Load Forecasting: A Comparative Study
    • [cs.LG]Permutation Invariant Graph Generation via Score-Based Generative Modeling
    • [cs.LG]PlaNet of the Bayesians: Reconsidering and Improving Deep Planning Network by Incorporating Bayesian Inference
    • [cs.LG]Predictive Coding for Locally-Linear Control
    • [cs.LG]Provably Efficient Safe Exploration via Primal-Dual Policy Optimization
    • [cs.LG]RandomNet: Towards Fully Automatic Neural Architecture Design for Multimodal Learning
    • [cs.LG]Regression via Implicit Models and Optimal Transport Cost Minimization
    • [cs.LG]Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks
    • [cs.LG]Rethinking Randomized Smoothing for Adversarial Robustness
    • [cs.LG]Robust Policy Search for Robot Navigation with Stochastic Meta-Policies
    • [cs.LG]Safe Reinforcement Learning for Autonomous Vehicles through Parallel Constrained Policy Optimization
    • [cs.LG]Scalable Learning Paradigms for Data-Driven Wireless Communication
    • [cs.LG]Selectivity considered harmful: evaluating the causal impact of class selectivity in DNNs
    • [cs.LG]Self-Supervised Graph Representation Learning via Global Context Prediction
    • [cs.LG]Self-Supervised Object-Level Deep Reinforcement Learning
    • [cs.LG]Sparsity Meets Robustness: Channel Pruning for the Feynman-Kac Formalism Principled Robust Deep Neural Nets
    • [cs.LG]Stein Variational Inference for Discrete Distributions
    • [cs.LG]Stochastically Differentiable Probabilistic Programs
    • [cs.LG]Structured Prediction with Partial Labelling through the Infimum Loss
    • [cs.LG]Subadditivity of Probability Divergences on Bayes-Nets with Applications to Time Series GANs
    • [cs.LG]Tensor Networks for Language Modeling
    • [cs.LG]Training BatchNorm and Only BatchNorm: On the Expressive Power of Random Features in CNNs
    • [cs.LG]Uncertainty-Aware Variational-Recurrent Imputation Network for Clinical Time Series
    • [cs.LG]Uncertainty-Gated Stochastic Sequential Model for EHR Mortality Prediction
    • [cs.LG]Understanding the Intrinsic Robustness of Image Distributions using Conditional Generative Models
    • [cs.LG]Upper Confidence Primal-Dual Optimization: Stochastically Constrained Markov Decision Processes with Adversarial Losses and Unknown Transitions
    • [cs.LG]VQ-DRAW: A Sequential Discrete VAE
    • [cs.LG]Variational inference formulation for a model-free simulation of a dynamical system with unknown parameters by a recurrent neural network
    • [cs.LO]Solving Satisfiability of Polynomial Formulas By Sample-Cell Projection
    • [cs.MA]Scaling Up Multiagent Reinforcement Learning for Robotic Systems: Learn an Adaptive Sparse Communication Graph
    • [cs.NE]A Metric for Evaluating Neural Input Representation in Supervised Learning Networks
    • [cs.NE]ADWPNAS: Architecture-Driven Weight Prediction for Neural Architecture Search
    • [cs.NE]Adaptive Structural Hyper-Parameter Configuration by Q-Learning
    • [cs.NE]Embodied Synaptic Plasticity with Online Reinforcement learning
    • [cs.NE]Evolutionary Image Transition and Painting Using Random Walks
    • [cs.NE]Explicitly Trained Spiking Sparsity in Spiking Neural Networks with Backpropagation
    • [cs.NE]Information cartography in association rule mining
    • [cs.NE]Reinforcement co-Learning of Deep and Spiking Neural Networks for Energy-Efficient Mapless Navigation with Neuromorphic Hardware
    • [cs.NI]Contention Window Optimization in IEEE 802.11ax Networks with Deep Reinforcement Learning
    • [cs.NI]Improving THz Quality-of-Transmission with Systematic RLNC and Auxiliary Channels
    • [cs.RO]3DCFS: Fast and Robust Joint 3D Semantic-Instance Segmentation via Coupled Feature Selection
    • [cs.RO]A Lobster-inspired Hybrid Actuator With Rigid and Soft Components
    • [cs.RO]A Lobster-inspired Robotic Glove for Hand Rehabilitation
    • [cs.RO]A Reconfigurable Hybrid Actuator with Rigid and Soft Components
    • [cs.RO]A Self-Supervised Learning Approach to Rapid Path Planning for Car-Like Vehicles Maneuvering in Urban Environment
    • [cs.RO]Adversarial Generation of Informative Trajectories for Dynamics System Identification
    • [cs.RO]Aging Touch: Systematic and Unbiased Presentation of Tactile Stimuli
    • [cs.RO]Augmented Reality on the Large Scene Based on a Markerless Registration Framework
    • [cs.RO]Bio-mimetic Adaptive Force/Position Control Using Fractal Impedance
    • [cs.RO]Closed-Loop Benchmarking of Stereo Visual-Inertial SLAM Systems: Understanding the Impact of Drift and Latency on Tracking Accuracy
    • [cs.RO]Comparison of Distal Teacher Learning with Numerical and Analytical Methods to Solve Inverse Kinematics for Rigid-Body Mechanisms
    • [cs.RO]Decision-making for automated vehicles using a hierarchical behavior-based arbitration scheme
    • [cs.RO]Design and Implementation of A Novel Precision Irrigation Robot Based on An Intelligent Path Planning Algorithm
    • [cs.RO]EGAD! an Evolved Grasping Analysis Dataset for diversity and reproducibility in robotic manipulation
    • [cs.RO]Efficient Latent Representations using Multiple Tasks for Autonomous Driving
    • [cs.RO]Experimental Evaluation of a Pseudo-Doppler Direction-Finding System for Localizing Radio Tags
    • [cs.RO]Exploiting Ergonomic Priors in Human-to-Robot Task Transfer
    • [cs.RO]Extrinsic Calibration of a 3D-LIDAR and a Camera
    • [cs.RO]Fabric Defect Detection Using Vision-Based Tactile Sensor
    • [cs.RO]Gaining a Sense of Touch. Physical Parameters Estimation using a Soft Gripper and Neural Networks
    • [cs.RO]Learn Task First or Learn Human Partner First? Deep Reinforcement Learning of Human-Robot Cooperation in Asymmetric Hierarchical Dynamic Task
    • [cs.RO]Learning to Collide: An Adaptive Safety-Critical Scenarios Generating Method
    • [cs.RO]MOZARD: Multi-Modal Localization for Autonomous Vehicles in Urban Outdoor Environments
    • [cs.RO]MVP: Unified Motion and Visual Self-Supervised Learning for Large-Scale Robotic Navigation
    • [cs.RO]Modeling and Control of a Hybrid Wheeled Jumping Robot
    • [cs.RO]NeuroTac: A Neuromorphic Optical Tactile Sensor applied to Texture Recognition
    • [cs.RO]Non-iterative One-step Solution for Point Set Registration Problem on Pose Estimation without Correspondence
    • [cs.RO]On robot compliance. A cerebellar control approach
    • [cs.RO]On the Effectiveness of Virtual Reality-based Training for Robotic Setup
    • [cs.RO]Optimal Oscillation Damping Control of cable-Suspended Aerial Manipulator with a Single IMU Sensor
    • [cs.RO]Optimizing Dynamic Trajectories for Robustness to Disturbances Using Polytopic Projections
    • [cs.RO]Planning to Build Soma Blocks Using a Dual-arm Robot
    • [cs.RO]Plug-and-Play SLAM: A Unified SLAM Architecture for Modularity and Ease of Use
    • [cs.RO]ProxEmo: Gait-based Emotion Learning and Multi-view Proxemic Fusion for Socially-Aware Robot Navigation
    • [cs.RO]Rapidly Adaptable Legged Robots via Evolutionary Meta-Learning
    • [cs.RO]Real-World Human-Robot Collaborative Reinforcement Learning
    • [cs.RO]Reconfigurable Design for Omni-adaptive Grasp Learning
    • [cs.RO]Rectangular Pyramid Partitioning using Integrated Depth Sensors (RAPPIDS): A Fast Planner for Multicopter Navigation
    • [cs.RO]Rigid-Soft Interactive Learning for Robust Grasping
    • [cs.RO]Robot Calligraphy using Pseudospectral Optimal Control in Conjunction with a Novel Dynamic Brush Model
    • [cs.RO]Robot Mindreading and the Problem of Trust
    • [cs.RO]Robotic Grasping through Combined image-Based Grasp Proposal and 3D Reconstruction
    • [cs.RO]Robust High-Transparency Haptic Exploration for Dexterous Telemanipulation
    • [cs.RO]Robust Robotic Pouring using Audition and Haptics
    • [cs.RO]Robust tightly-coupled pose estimation based on monocular vision, inertia and wheel speed
    • [cs.RO]Safe Speed Control and Collision Probability Estimation Under Ego-Pose Uncertainty for Autonomous Vehicle
    • [cs.RO]Scalable Tactile Sensing for an Omni-adaptive Soft Robot Finger
    • [cs.RO]Socially-Aware Robot Planning via Bandit Human Feedback
    • [cs.RO]Spatiotemporal Learning of Multivehicle Interaction Patterns in Lane-Change Scenarios
    • [cs.RO]The Marathon 2: A Navigation System
    • [cs.RO]The Use of Implicit Human Motor Behaviour in the Online Personalisation of Prosthetic Interfaces
    • [cs.RO]Traversing the Reality Gap via Simulator Tuning
    • [cs.RO]Underactuated Waypoint Trajectory Optimization for Light Painting Photography
    • [cs.RO]Vision-based Robot Manipulation Learning via Human Demonstrations
    • [cs.SD]One or Two Components? The Scattering Transform Answers
    • [cs.SE]Exploring the Efficacy of Transfer Learning in Mining Image-Based Software Artifacts
    • [cs.SE]Towards Probability-based Safety Verification of Systems with Components from Machine Learning
    • [cs.SI]Advertisers Jump on Coronavirus Bandwagon: Politics, News, and Business
    • [cs.SI]Everything About You: A Multimodal Approach towards Friendship Inference in Online Social Networks
    • [cs.SI]Just SLaQ When You Approximate: Accurate Spectral Distances for Web-Scale Graphs
    • [cs.SI]Library Adoption Dynamics in Software Teams
    • [cs.SI]Unveiling Coordinated Groups Behind White Helmets Disinformation
    • [cs.SI]YouTube Recommendations and Effects on Sharing Across Online Social Platforms
    • [eess.AS]Pathological speech detection using x-vector embeddings
    • [eess.AS]SELD-TCN: Sound Event Localization & Detection via Temporal Convolutional Networks
    • [eess.IV]A Deep learning Approach to Generate Contrast-Enhanced Computerised Tomography Angiography without the Use of Intravenous Contrast Agents
    • [eess.IV]BUSU-Net: An Ensemble U-Net Framework for Medical Image Segmentation
    • [eess.IV]Constrained Nonnegative Matrix Factorization for Blind Hyperspectral Unmixing incorporating Endmember Independence
    • [eess.IV]DDU-Nets: Distributed Dense Model for 3D MRI Brain Tumor Segmentation
    • [eess.IV]Deep Learning for Musculoskeletal Image Analysis
    • [eess.IV]Disease Detection from Lung X-ray Images based on Hybrid Deep Learning
    • [eess.IV]Flashlight CNN Image Denoising
    • [eess.IV]Unlimited Resolution Image Generation with R2D2-GANs
    • [eess.IV]Visualizing intestines for diagnostic assistance of ileus based on intestinal region segmentation from 3D CT images
    • [eess.SP]Convolutional Sparse Support Estimator Network (CSEN) From energy efficient support estimation to learning-aided Compressive Sensing
    • [eess.SP]Design and performance analysis of channel estimators under pilot spoofing attacks in multiple-antenna systems
    • [eess.SP]Design of Convergence-Optimized Non-binary LDPC Codes over Binary Erasure Channel
    • [eess.SP]Distributed Joint Detection and Estimation: A Sequential Approach
    • [eess.SP]End-to-End Fast Training of Communication Links Without a Channel Model via Online Meta-Learning
    • [eess.SP]Few-Shot Relation Learning with Attention for EEG-based Motor Imagery Classification
    • [eess.SP]On the design of multiple-relay cooperative MIMO networks with partial channel state information
    • [eess.SP]Robust Joint Source-Relay-Destination Design Under Per-antenna Power Constraints
    • [eess.SP]Separable MSE-based design of two-way multiple-relay cooperative MIMO networks
    • [eess.SY]ABC-LMPC: Safe Sample-Based Learning MPC for Stochastic Nonlinear Dynamical Systems with Adjustable Boundary Conditions
    • [eess.SY]Formal Controller Synthesis for Continuous-Space MDPs via Model-Free Reinforcement Learning
    • [hep-lat]Towards Novel Insights in Lattice Field Theory with Explainable Machine Learning
    • [math.CO]Tropical Support Vector Machine and its Applications to Phylogenomics
    • [math.OC]Distributed Cooperative Decision Making in Multi-agent Multi-armed Bandits
    • [math.OC]Online Sinkhorn: optimal transportation distances from sample streams
    • [math.OC]Randomized Primal-Dual Algorithms for Composite Convex Minimization with Faster Convergence Rates
    • [math.OC]Risk-Averse Learning by Temporal Difference Methods
    • [math.PR]A Fractional Hawkes process
    • [math.PR]A counterexample to the central limit theorem for pairwise independent random variables having a common absolutely continuous arbitrary margin
    • [math.ST]Asymptotics for sliding blocks estimators of rare events
    • [math.ST]BigSurvSGD: Big Survival Data Analysis via Stochastic Gradient Descent
    • [math.ST]Most Probable Dynamics of Stochastic Dynamical Systems with Exponentially Light Jump Fluctuations
    • [math.ST]Nonparametric Estimation in the Dynamic Bradley-Terry Model
    • [math.ST]On Minimax Exponents of Sparse Testing
    • [math.ST]Overall error analysis for the training of deep neural networks via stochastic gradient descent with random initialisation
    • [math.ST]Recursive max-linear models with propagating noise
    • [math.ST]Smooths Tests of Goodness-of-fit for the Newcomb-Benford distribution
    • [physics.data-an]The statistical physics of discovering exogenous and endogenous factors in a chain of events
    • [physics.soc-ph]How to choose the most appropriate centrality measure?
    • [physics.soc-ph]Will Scale-free Popularity Develop Scale-free Geo-social Networks?
    • [q-bio.NC]Analysis of Gait-Event-related Brain Potentials During Instructed And Spontaneous Treadmill Walking — Technical Affordances and used Methods
    • [q-bio.NC]Explainable and Scalable Machine-Learning Algorithms for Detection of Autism Spectrum Disorder using fMRI Data
    • [q-bio.NC]Exploring vestibulo-ocular adaptation in a closed-loop neuro-robotic experiment using STDP. A simulation study
    • [q-bio.NC]Two Routes to Scalable Credit Assignment without Weight Symmetry
    • [q-bio.NC]VOR Adaptation on a Humanoid iCub Robot Using a Spiking Cerebellar Model
    • [q-bio.OT]Did Sequence Dependent Geometry Influence the Evolution of the Genetic Code?
    • [q-bio.QM]Cell Mechanics Based Computational Classification of Red Blood Cells Via Machine Intelligence Applied to Morpho-Rheological Markers
    • [quant-ph]Improved Gilbert-Varshamov Bound for Entanglement-Assisted Asymmetric Quantum Error Correction by Symplectic Orthogonality
    • [quant-ph]Robust data encodings for quantum classifiers
    • [stat.AP]A flexible Bayesian framework to estimate age- and cause-specific child mortality over time from sample registration data
    • [stat.AP]Automatically matching topographical measurements of cartridge cases using a record linkage framework
    • [stat.AP]Comparison of Persistence Diagrams
    • [stat.AP]Design optimization of stochastic complex systems via iterative density estimation
    • [stat.AP]Estimating the impact of treatment compliance over time on smoking cessation using data from ecological momentary assessments (EMA)
    • [stat.AP]Finding archetypal patterns for binary questionnaires
    • [stat.AP]Long-term Spatial Modeling for Characteristics of Extreme Heat Events
    • [stat.AP]The importance of transparency and reproducibility in artificial intelligence research
    • [stat.ME]A Functional EM Algorithm for Panel Count Data with Missing Counts
    • [stat.ME]A Stochastic Covariance Shrinkage Approach in Ensemble Transform Kalman Filtering
    • [stat.ME]A fast Monte Carlo test for preferential sampling
    • [stat.ME]Accurate $p$-Value Calculation for Generalized Fisher’s Combination Tests Under Dependence
    • [stat.ME]Almost-Matching-Exactly for Treatment Effect Estimation under Network Interference
    • [stat.ME]Detecting multiple change points: a PULSE criterion
    • [stat.ME]Integrative analysis of randomized clinical trials with real world evidence studies
    • [stat.ME]Model-based ROC (mROC) curve: examining the effect of case-mix and model calibration on the ROC plot
    • [stat.ME]Probabilistic performance estimators for computational chemistry methods: Systematic Improvement Probability and Ranking Probability Matrix. I. Theory
    • [stat.ME]Roughness Penalty for liquid Scorecards
    • [stat.ME]Score Engineered Logistic Regression
    • [stat.ME]Score Engineered Robust Least Squares Regression
    • [stat.ME]True and false discoveries with independent e-values
    • [stat.ML]A Framework for Interdomain and Multioutput Gaussian Processes
    • [stat.ML]Analysis via Orthonormal Systems in Reproducing Kernel Hilbert $C^*$-Modules and Applications
    • [stat.ML]Approximate Cross-validation: Guarantees for Model Assessment and Selection
    • [stat.ML]Dimensionality reduction to maximize prediction generalization capability
    • [stat.ML]Estimating Multiple Precision Matrices with Cluster Fusion Regularization
    • [stat.ML]Exactly Computing the Local Lipschitz Constant of ReLU Networks
    • [stat.ML]Fiedler Regularization: Learning Neural Networks with Graph Sparsity
    • [stat.ML]Generating Higher-Fidelity Synthetic Datasets with Privacy Guarantees
    • [stat.ML]Iterate Averaging Helps: An Alternative Perspective in Deep Learning
    • [stat.ML]Nonlinear Functional Output Regression: a Dictionary Approach
    • [stat.ML]On the rate of convergence of image classifiers based on convolutional neural networks
    • [stat.ML]Online Hierarchical Forecasting for Power Consumption Data
    • [stat.ML]Semiparametric Nonlinear Bipartite Graph Representation Learning with Provable Guarantees
    • [stat.ML]Stable behaviour of infinitely wide deep neural networks
    • [stat.ML]Statistical power for cluster analysis
    • [stat.ML]Survival Cluster Analysis
    • [stat.ML]The estimation error of general first order methods
    • [stat.ML]Theoretical Understanding of Batch-normalization: A Markov Chain Perspective
    • [stat.ML]Why is the Mahalanobis Distance Effective for Anomaly Detection?

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

    • [astro-ph.IM]PSF—NET: A Non-parametric Point Spread Function Model for Ground Based Optical Telescopes
    Peng Jia, Xuebo Wu, Yi Huang, Bojun Cai, Dongmei Cai
    http://arxiv.org/abs/2003.00615v1

    • [astro-ph.IM]Stochastic Calibration of Radio Interferometers
    Sarod Yatawatta
    http://arxiv.org/abs/2003.00986v2

    • [cond-mat.quant-gas]Single-exposure absorption imaging of ultracold atoms using deep learning
    Gal Ness, Anastasiya Vainbaum, Constantine Shkedrov, Yanay Florshaim, Yoav Sagi
    http://arxiv.org/abs/2003.01643v1

    • [cs.AI]A general framework for scientifically inspired explanations in AI
    David Tuckey, Alessandra Russo, Krysia Broda
    http://arxiv.org/abs/2003.00749v1

    • [cs.AI]An Evaluation of Knowledge Graph Embeddings for Autonomous Driving Data: Experience and Practice
    Ruwan Wickramarachchi, Cory Henson, Amit Sheth
    http://arxiv.org/abs/2003.00344v1

    • [cs.AI]BARD: A structured technique for group elicitation of Bayesian networks to support analytic reasoning
    Ann E. Nicholson, Kevin B. Korb, Erik P. Nyberg, Michael Wybrow, Ingrid Zukerman, Steven Mascaro, Shreshth Thakur, Abraham Oshni Alvandi, Jeff Riley, Ross Pearson, Shane Morris, Matthieu Herrmann, A. K. M. Azad, Fergus Bolger, Ulrike Hahn, David Lagnado
    http://arxiv.org/abs/2003.01207v1

    • [cs.AI]Causal Learning by a Robot with Semantic-Episodic Memory in an Aesop’s Fable Experiment
    Ajaz A. Bhat, Vishwanathan Mohan
    http://arxiv.org/abs/2003.00274v1

    • [cs.AI]Causal Transfer for Imitation Learning and Decision Making under Sensor-shift
    Jalal Etesami, Philipp Geiger
    http://arxiv.org/abs/2003.00806v1

    • [cs.AI]Data Pre-Processing and Evaluating the Performance of Several Data Mining Methods for Predicting Irrigation Water Requirement
    Mahmood A. Khan, Md Zahidul Islam, Mohsin Hafeez
    http://arxiv.org/abs/2003.00411v1

    • [cs.AI]Detection and Mitigation of Bias in Ted Talk Ratings
    Rupam Acharyya, Shouman Das, Ankani Chattoraj, Oishani Sengupta, Md Iftekar Tanveer
    http://arxiv.org/abs/2003.00683v1

    • [cs.AI]Differential Evolution with Individuals Redistribution for Real Parameter Single Objective Optimization
    Chengjun Li, Yang Li
    http://arxiv.org/abs/2003.00439v1

    • [cs.AI]EXPLAIN-IT: Towards Explainable AI for Unsupervised Network Traffic Analysis
    Andrea Morichetta, Pedro Casas, Marco Mellia
    http://arxiv.org/abs/2003.01670v1

    • [cs.AI]Environment-agnostic Multitask Learning for Natural Language Grounded Navigation
    Xin Wang, Vihan Jain, Eugene Ie, William Yang Wang, Zornitsa Kozareva, Sujith Ravi
    http://arxiv.org/abs/2003.00443v1

    • [cs.AI]GPM: A Generic Probabilistic Model to Recover Annotator’s Behavior and Ground Truth Labeling
    Jing Li, Suiyi Ling, Junle Wang, Zhi Li, Patrick Le Callet
    http://arxiv.org/abs/2003.00475v1

    • [cs.AI]Hierarchical Context Enhanced Multi-Domain Dialogue System for Multi-domain Task Completion
    Jingyuan Yang, Guang Liu, Yuzhao Mao, Zhiwei Zhao, Weiguo Gao, Xuan Li, Haiqin Yang, Jianping Shen
    http://arxiv.org/abs/2003.01338v1

    • [cs.AI]Knowledge Graphs on the Web — an Overview
    Nicolas Heist, Sven Hertling, Daniel Ringler, Heiko Paulheim
    http://arxiv.org/abs/2003.00719v1

    • [cs.AI]Learning and Solving Regular Decision Processes
    Eden Abadi, Ronen I. Brafman
    http://arxiv.org/abs/2003.01008v1

    • [cs.AI]Learning to Simulate Human Movement
    Hua Wei, Zhenhui Li
    http://arxiv.org/abs/2003.00613v2

    • [cs.AI]Model Assertions for Monitoring and Improving ML Model
    Daniel Kang, Deepti Raghavan, Peter Bailis, Matei Zaharia
    http://arxiv.org/abs/2003.01668v1

    • [cs.AI]On the Existence of Characterization Logics and Fundamental Properties of Argumentation Semantics
    Ringo Baumann
    http://arxiv.org/abs/2003.00767v1

    • [cs.AI]Permutohedral-GCN: Graph Convolutional Networks with Global Attention
    Hesham Mostafa, Marcel Nassar
    http://arxiv.org/abs/2003.00635v1

    • [cs.AI]Predicting A Creator’s Preferences In, and From, Interactive Generative Art
    Devi Parikh
    http://arxiv.org/abs/2003.01274v1

    • [cs.AI]Reachability Analysis for Feed-Forward Neural Networks using Face Lattices
    Xiaodong Yang, Hoang-Dung Tran, Weiming Xiang, Taylor Johnson
    http://arxiv.org/abs/2003.01226v1

    • [cs.AI]Towards information-rich, logical text generation with knowledge-enhanced neural models
    Hao Wang, Bin Guo, Wei Wu, Zhiwen Yu
    http://arxiv.org/abs/2003.00814v1

    • [cs.AI]UFTR: A Unified Framework for Ticket Routing
    Jianglei Han, Jing Li, Aixin Sun
    http://arxiv.org/abs/2003.00703v1

    • [cs.AI]V2I Connectivity-Based Dynamic Queue-Jumper Lane for Emergency Vehicles: An Approximate Dynamic Programming Approach
    Haoran Su, Joseph Y. J. Chow, Li Jin
    http://arxiv.org/abs/2003.01025v1

    • [cs.AI]What Emotions Make One or Five Stars? Understanding Ratings of Online Product Reviews by Sentiment Analysis and XAI
    Chaehan So
    http://arxiv.org/abs/2003.00201v1

    • [cs.CG]Shape analysis via inconsistent surface registration
    Gary P. T. Choi, Di Qiu, Lok Ming Lui
    http://arxiv.org/abs/2003.01357v1

    • [cs.CL]AraBERT: Transformer-based Model for Arabic Language Understanding
    Wissam Antoun, Fady Baly, Hazem Hajj
    http://arxiv.org/abs/2003.00104v1

    • [cs.CL]Benchmark Performance of Machine And Deep Learning Based Methodologies for Urdu Text Document Classification
    Muhammad Nabeel Asim, Muhammad Usman Ghani, Muhammad Ali Ibrahim, Sheraz Ahmad, Waqar Mahmood, Andreas Dengel
    http://arxiv.org/abs/2003.01345v1

    • [cs.CL]CLUECorpus2020: A Large-scale Chinese Corpus for Pre-trainingLanguage Model
    Liang Xu, Xuanwei Zhang, Qianqian Dong
    http://arxiv.org/abs/2003.01355v1

    • [cs.CL]Clinical Text Summarization with Syntax-Based Negation and Semantic Concept Identification
    Wei-Hung Weng, Yu-An Chung, Schrasing Tong
    http://arxiv.org/abs/2003.00353v1

    • [cs.CL]Controllable Time-Delay Transformer for Real-Time Punctuation Prediction and Disfluency Detection
    Qian Chen, Mengzhe Chen, Bo Li, Wen Wang
    http://arxiv.org/abs/2003.01309v1

    • [cs.CL]Depth-Adaptive Graph Recurrent Network for Text Classification
    Yijin Liu, Fandong Meng, Yufeng Chen, Jinan Xu, Jie Zhou
    http://arxiv.org/abs/2003.00166v1

    • [cs.CL]Hybrid Generative-Retrieval Transformers for Dialogue Domain Adaptation
    Igor Shalyminov, Alessandro Sordoni, Adam Atkinson, Hannes Schulz
    http://arxiv.org/abs/2003.01680v1

    • [cs.CL]Identification of primary and collateral tracks in stuttered speech
    Rachid Riad, Anne-Catherine Bachoud-Lévi, Frank Rudzicz, Emmanuel Dupoux
    http://arxiv.org/abs/2003.01018v1

    • [cs.CL]Improving Candidate Generation for Low-resource Cross-lingual Entity Linking
    Shuyan Zhou, Shruti Rijhawani, John Wieting, Jaime Carbonell, Graham Neubig
    http://arxiv.org/abs/2003.01343v1

    • [cs.CL]Improving Uyghur ASR systems with decoders using morpheme-based language models
    Zicheng Qiu, Wei Jiang, Turghunjan Mamut
    http://arxiv.org/abs/2003.01509v1

    • [cs.CL]Learning from Easy to Complex: Adaptive Multi-curricula Learning for Neural Dialogue Generation
    Hengyi Cai, Hongshen Chen, Cheng Zhang, Yonghao Song, Xiaofang Zhao, Yangxi Li, Dongsheng Duan, Dawei Yin
    http://arxiv.org/abs/2003.00639v1

    • [cs.CL]Med7: a transferable clinical natural language processing model for electronic health records
    Andrey Kormilitzin, Nemanja Vaci, Qiang Liu, Alejo Nevado-Holgado
    http://arxiv.org/abs/2003.01271v1

    • [cs.CL]Meta-Embeddings Based On Self-Attention
    Qichen Li, Xiaoke Jiang, Jun Xia, Jian Li
    http://arxiv.org/abs/2003.01371v1

    • [cs.CL]Multi-Task Learning Network for Emotion Recognition in Conversation
    Jingye Li, Meishan Zhang, Donghong Ji, Yijiang Liu
    http://arxiv.org/abs/2003.01478v1

    • [cs.CL]Multi-View Learning for Vision-and-Language Navigation
    Qiaolin Xia, Xiujun Li, Chunyuan Li, Yonatan Bisk, Zhifang Sui, Jianfeng Gao, Yejin Choi, Noah A. Smith
    http://arxiv.org/abs/2003.00857v2

    • [cs.CL]Natural Language Processing Advancements By Deep Learning: A Survey
    Amirsina Torfi, Rouzbeh A. Shirvani, Yaser Keneshloo, Nader Tavvaf, Edward A. Fox
    http://arxiv.org/abs/2003.01200v1

    • [cs.CL]PhoBERT: Pre-trained language models for Vietnamese
    Dat Quoc Nguyen, Anh Tuan Nguyen
    http://arxiv.org/abs/2003.00744v1

    • [cs.CL]Seshat: A tool for managing and verifying annotation campaigns of audio data
    Hadrien Titeux, Rachid Riad, Xuan-Nga Cao, Nicolas Hamilakis, Kris Madden, Alejandrina Cristia, Anne-Catherine Bachoud-Lévi, Emmanuel Dupoux
    http://arxiv.org/abs/2003.01472v1

    • [cs.CL]StructSum: Incorporating Latent and Explicit Sentence Dependencies for Single Document Summarization
    Vidhisha Balachandran, Artidoro Pagnoni, Jay Yoon Lee, Dheeraj Rajagopal, Jaime Carbonell, Yulia Tsvetkov
    http://arxiv.org/abs/2003.00576v1

    • [cs.CL]Style Example-Guided Text Generation using Generative Adversarial Transformers
    Kuo-Hao Zeng, Mohammad Shoeybi, Ming-Yu Liu
    http://arxiv.org/abs/2003.00674v1

    • [cs.CL]Transfer Learning for Context-Aware Spoken Language Understanding
    Qian Chen, Zhu Zhuo, Wen Wang, Qiuyun Xu
    http://arxiv.org/abs/2003.01305v1

    • [cs.CL]Voice trigger detection from LVCSR hypothesis lattices using bidirectional lattice recurrent neural networks
    Woojay Jeon, Leo Liu, Henry Mason
    http://arxiv.org/abs/2003.00304v1

    • [cs.CL]XGPT: Cross-modal Generative Pre-Training for Image Captioning
    Qiaolin Xia, Haoyang Huang, Nan Duan, Dongdong Zhang, Lei Ji, Zhifang Sui, Edward Cui, Taroon Bharti, Ming Zhou
    http://arxiv.org/abs/2003.01473v1

    • [cs.CR]1D CNN Based Network Intrusion Detection with Normalization on Imbalanced Data
    Azizjon Meliboev, Jumabek Alikhanov, Wooseong Kim
    http://arxiv.org/abs/2003.00476v1

    • [cs.CR]Assuring the Integrity of Videos from Wireless-based IoT Devices using Blockchain
    Dominik Danko, Suat Mercan, Mumin Cebe Kemal Akkaya
    http://arxiv.org/abs/2003.00118v1

    • [cs.CR]Authentication, Access Control, Privacy, Threats and Trust Management Towards Securing Fog Computing Environments: A Review
    Abdullah Al-Noman Patwary, Anmin Fu, Ranesh Kumar Naha, Sudheer Kumar Battula, Saurabh Garg, Md Anwarul Kaium Patwary, Erfan Aghasian
    http://arxiv.org/abs/2003.00395v1

    • [cs.CR]Differential Privacy at Risk: Bridging Randomness and Privacy Budget
    Ashish Dandekar, Debabrota Basu, Stephane Bressan
    http://arxiv.org/abs/2003.00973v1

    • [cs.CR]Exploring Backdoor Poisoning Attacks Against Malware Classifiers
    Giorgio Severi, Jim Meyer, Scott Coull, Alina Oprea
    http://arxiv.org/abs/2003.01031v1

    • [cs.CR]Gimme That Model!: A Trusted ML Model Trading Protocol
    Laia Amorós, Syed Mahbub Hafiz, Keewoo Lee, M. Caner Tol
    http://arxiv.org/abs/2003.00610v2

    • [cs.CR]Improving Sustainability of Cryptocurrency Payment Networks for IoT Applications
    Suat Mercan, Enes Erdin, Kemal Akkaya
    http://arxiv.org/abs/2003.00294v1

    • [cs.CV]3D Object Detection From LiDAR Data Using Distance Dependent Feature Extraction
    Guus Engels, Nerea Aranjuelo, Ignacio Arganda-Carreras, Marcos Nieto, Oihana Otaegui
    http://arxiv.org/abs/2003.00888v2

    • [cs.CV]3D Point Cloud Processing and Learning for Autonomous Driving
    Siheng Chen, Baoan Liu, Chen Feng, Carlos Vallespi-Gonzalez, Carl Wellington
    http://arxiv.org/abs/2003.00601v1

    • [cs.CV]3D dynamic hand gestures recognition using the Leap Motion sensor and convolutional neural networks
    Katia Lupinetti, Andrea Ranieri, Franca Giannini, Marina Monti
    http://arxiv.org/abs/2003.01450v1

    • [cs.CV]A Novel Recurrent Encoder-Decoder Structure for Large-Scale Multi-view Stereo Reconstruction from An Open Aerial Dataset
    Jin Liu, Shunping Ji
    http://arxiv.org/abs/2003.00637v1

    • [cs.CV]A-TVSNet: Aggregated Two-View Stereo Network for Multi-View Stereo Depth Estimation
    Sizhang Dai, Weibing Huang
    http://arxiv.org/abs/2003.00711v1

    • [cs.CV]Always Look on the Bright Side of the Field: Merging Pose and Contextual Data to Estimate Orientation of Soccer Players
    Adrià Arbués-Sangüesa, Adrián Martín, Javier Fernández, Carlos Rodríguez, Gloria Haro, Coloma Ballester
    http://arxiv.org/abs/2003.00943v1

    • [cs.CV]Augmenting Visual Place Recognition with Structural Cues
    Amadeus Oertel, Titus Cieslewski, Davide Scaramuzza
    http://arxiv.org/abs/2003.00278v1

    • [cs.CV]BATS: Binary ArchitecTure Search
    Adrian Bulat, Brais Martinez, Georgios Tzimiropoulos
    http://arxiv.org/abs/2003.01711v1

    • [cs.CV]Bio-Inspired Modality Fusion for Active Speaker Detection
    Gustavo Assunção, Nuno Gonçalves, Paulo Menezes
    http://arxiv.org/abs/2003.00063v1

    • [cs.CV]Cops-Ref: A new Dataset and Task on Compositional Referring Expression Comprehension
    Zhenfang Chen, Peng Wang, Lin Ma, Kwan-Yee K. Wong, Qi Wu
    http://arxiv.org/abs/2003.00403v1

    • [cs.CV]D3VO: Deep Depth, Deep Pose and Deep Uncertainty for Monocular Visual Odometry
    Nan Yang, Lukas von Stumberg, Rui Wang, Daniel Cremers
    http://arxiv.org/abs/2003.01060v1

    • [cs.CV]DEEVA: A Deep Learning and IoT Based Computer Vision System to Address Safety and Security of Production Sites in Energy Industry
    Nimish M. Awalgaonkar, Haining Zheng, Christopher S. Gurciullo
    http://arxiv.org/abs/2003.01196v1

    • [cs.CV]Data-Free Adversarial Perturbations for Practical Black-Box Attack
    ZhaoXin Huan, Yulong Wang, Xiaolu Zhang, Lin Shang, Chilin Fu, Jun Zhou
    http://arxiv.org/abs/2003.01295v1

    • [cs.CV]Deep Active Learning for Biased Datasets via Fisher Kernel Self-Supervision
    Denis Gudovskiy, Alec Hodgkinson, Takuya Yamaguchi, Sotaro Tsukizawa
    http://arxiv.org/abs/2003.00393v1

    • [cs.CV]Deep Attention Aware Feature Learning for Person Re-Identification
    Yifan Chen, Han Wang, Xiaolu Sun, Bin Fan, Chu Tang
    http://arxiv.org/abs/2003.00517v1

    • [cs.CV]Deep Image Spatial Transformation for Person Image Generation
    Yurui Ren, Xiaoming Yu, Junming Chen, Thomas H. Li, Ge Li
    http://arxiv.org/abs/2003.00696v1

    • [cs.CV]Deep Learning for Content-based Personalized Viewport Prediction of 360-Degree VR Videos
    Xinwei Chen, Ali Taleb Zadeh Kasgari, Walid Saad
    http://arxiv.org/abs/2003.00429v1

    • [cs.CV]Deep Learning for Content-based Personalized Viewport Prediction of 360-Degree VR Videos
    Xinwei Chen, Ali Taleb Zadeh Kasgari, Walid Saad
    http://arxiv.org/abs/2000
    s/2003.00429v1
    s/2003.00429v1)

    • [cs.CV]Deep Multi-Modal Sets
    Austin Reiter, Menglin Jia, Pu Yang, Ser-Nam Lim
    http://arxiv.org/abs/2003.01607v1

    • [cs.CV]DeepSperm: A robust and real-time bull sperm-cell detection in densely populated semen videos
    Priyanto Hidayatullah, Xueting Wang, Toshihiko Yamasaki, Tati L. E. R. Mengko, Rinaldi Munir, Anggraini Barlian, Eros Sukmawati, Supraptono Supraptono
    http://arxiv.org/abs/2003.01395v1

    • [cs.CV]DiPE: Deeper into Photometric Errors for Unsupervised Learning of Depth and Ego-motion from Monocular Videos
    Hualie Jiang, Laiyan Ding, Rui Huang
    http://arxiv.org/abs/2003.01360v1

    • [cs.CV]Disentangling Physical Dynamics from Unknown Factors for Unsupervised Video Prediction
    Vincent Le Guen, Nicolas Thome
    http://arxiv.org/abs/2003.01460v1

    • [cs.CV]Disrupting DeepFakes: Adversarial Attacks Against Conditional Image Translation Networks and Facial Manipulation Systems
    Nataniel Ruiz, Stan Sclaroff
    http://arxiv.org/abs/2003.01279v1

    • [cs.CV]Distilled Hierarchical Neural Ensembles with Adaptive Inference Cost
    Adria Ruiz, Jakob Verbeek
    http://arxiv.org/abs/2003.01474v1

    • [cs.CV]DriverMHG: A Multi-Modal Dataset for Dynamic Recognition of Driver Micro Hand Gestures and a Real-Time Recognition Framework
    Okan Köpüklü, Thomas Ledwon, Yao Rong, Neslihan Kose, Gerhard Rigoll
    http://arxiv.org/abs/2003.00951v1

    • [cs.CV]Energy-efficient and Robust Cumulative Training with Net2Net Transformation
    Aosong Feng, Priyadarshini Panda
    http://arxiv.org/abs/2003.01204v1

    • [cs.CV]Extremely Dense Point Correspondences using a Learned Feature Descriptor
    Xingtong Liu, Yiping Zheng, Benjamin Killeen, Masaru Ishii, Gregory D. Hager, Russell H. Taylor, Mathias Unberath
    http://arxiv.org/abs/2003.00619v1

    • [cs.CV]FMT:Fusing Multi-task Convolutional Neural Network for Person Search
    Sulan Zhai, Shunqiang Liu, Xiao Wang, Jin Tang
    http://arxiv.org/abs/2003.00406v1

    • [cs.CV]Fast Lidar Clustering by Density and Connectivity
    Frederik Hasecke, Lukas Hahn, Anton Kummert
    http://arxiv.org/abs/2003.00575v1

    • [cs.CV]Few-shot Learning with Weakly-supervised Object Localization
    Jinfu Lin, Xiaojian He
    http://arxiv.org/abs/2003.00874v1

    • [cs.CV]Fine-grained Video-Text Retrieval with Hierarchical Graph Reasoning
    Shizhe Chen, Yida Zhao, Qin Jin, Qi Wu
    http://arxiv.org/abs/2003.00392v1

    • [cs.CV]Fully Convolutional Networks for Automatically Generating Image Masks to Train Mask R-CNN
    Hao Wu, Jan Paul Siebert
    http://arxiv.org/abs/2003.01383v1

    • [cs.CV]GPU-Accelerated Mobile Multi-view Style Transfer
    Puneet Kohli, Saravana Gunaseelan, Jason Orozco, Yiwen Hua, Edward Li, Nicolas Dahlquist
    http://arxiv.org/abs/2003.00706v1

    • [cs.CV]Gastric histopathology image segmentation using a hierarchical conditional random field
    Changhao Sun, Chen Li, Xiaoyan Li
    http://arxiv.org/abs/2003.01302v1

    • [cs.CV]Gated Fusion Network for Degraded Image Super Resolution
    Xinyi Zhang, Hang Dong, Zhe Hu, Wei-Sheng Lai, Fei Wang, Ming-Hsuan Yang
    http://arxiv.org/abs/2003.00893v1

    • [cs.CV]Global Context-Aware Progressive Aggregation Network for Salient Object Detection
    Zuyao Chen, Qianqian Xu, Runmin Cong, Qingming Huang
    http://arxiv.org/abs/2003.00651v1

    • [cs.CV]Holistically-Attracted Wireframe Parsing
    Nan Xue, Tianfu Wu, Song Bai, Fu-Dong Wang, Gui-Song Xia, Liangpei Zhang, Philip H. S. Torr
    http://arxiv.org/abs/2003.01663v1

    • [cs.CV]Identity Recognition in Intelligent Cars with Behavioral Data and LSTM-ResNet Classifier
    Michael Hammann, Maximilian Kraus, Sina Shafaei, Alois Knoll
    http://arxiv.org/abs/2003.00770v1

    • [cs.CV]Image Matching across Wide Baselines: From Paper to Practice
    Yuhe Jin, Dmytro Mishkin, Anastasiia Mishchuk, Jiri Matas, Pascal Fua, Kwang Moo Yi, Eduard Trulls
    http://arxiv.org/abs/2003.01587v1

    • [cs.CV]Implicit Functions in Feature Space for 3D Shape Reconstruction and Completion
    Julian Chibane, Thiemo Alldieck, Gerard Pons-Moll
    http://arxiv.org/abs/2003.01456v1

    • [cs.CV]Intelligent Home 3D: Automatic 3D-House Design from Linguistic Descriptions Only
    Qi Chen, Qi Wu, Rui Tang, Yuhan Wang, Shuai Wang, Mingkui Tan
    http://arxiv.org/abs/2003.00397v1

    • [cs.CV]Joint Wasserstein Distribution Matching
    JieZhang Cao, Langyuan Mo, Qing Du, Yong Guo, Peilin Zhao, Junzhou Huang, Mingkui Tan
    http://arxiv.org/abs/2003.00389v1

    • [cs.CV]Learn2Perturb: an End-to-end Feature Perturbation Learning to Improve Adversarial Robustness
    Ahmadreza Jeddi, Mohammad Javad Shafiee, Michelle Karg, Christian Scharfenberger, Alexander Wong
    http://arxiv.org/abs/2003.01090v2

    • [cs.CV]Learned Enrichment of Top-View Grid Maps Improves Object Detection
    Sascha Wirges, Ye Yang, Sven Richter, Hahohao Hu, Christoph Stiller
    http://arxiv.org/abs/2003.00710v1

    • [cs.CV]Learning Depth via Interaction
    Antonio Loquercio, Alexey Dosovitskiy, Davide Scaramuzza
    http://arxiv.org/abs/2003.00752v1

    • [cs.CV]Learning Texture Invariant Representation for Domain Adaptation of Semantic Segmentation
    Myeongjin Kim, Hyeran Byun
    http://arxiv.org/abs/2003.00867v1

    • [cs.CV]Learning When and Where to Zoom with Deep Reinforcement Learning
    Burak Uzkent, Stefano Ermon
    http://arxiv.org/abs/2003.00425v1

    • [cs.CV]Learning from Suspected Target: Bootstrapping Performance for Breast Cancer Detection in Mammography
    Li Xiao, Cheng Zhu, Junjun Liu, Chunlong Luo, Peifang Liu, Yi Zhao
    http://arxiv.org/abs/2003.01109v1

    • [cs.CV]Learning to Deblur and Generate High Frame Rate Video with an Event Camera
    Chen Haoyu, Teng Minggui, Shi Boxin, Wang YIzhou, Huang Tiejun
    http://arxiv.org/abs/2003.00847v1

    • [cs.CV]LiDARNet: A Boundary-Aware Domain Adaptation Model for Lidar Point Cloud Semantic Segmentation
    Peng Jiang, Srikanth Saripalli
    http://arxiv.org/abs/2003.01174v1

    • [cs.CV]Long Short-Term Sample Distillation
    Liang Jiang, Zujie Wen, Zhongping Liang, Yafang Wang, Gerard de Melo, Zhe Li, Liangzhuang Ma, Jiaxing Zhang, Xiaolong Li, Yuan Qi
    http://arxiv.org/abs/2003.00739v1

    • [cs.CV]MRI Super-Resolution with GAN and 3D Multi-Level DenseNet: Smaller, Faster, and Better
    Yuhua Chen, Anthony G. Christodoulou, Zhengwei Zhou, Feng Shi, Yibin Xie, Debiao Li
    http://arxiv.org/abs/2003.01217v1

    • [cs.CV]MVC-Net: A Convolutional Neural Network Architecture for Manifold-Valued Images With Applications
    Jose J. Bouza, Chun-Hao Yang, Baba C. Vemuri
    http://arxiv.org/abs/2003.01234v1

    • [cs.CV]Matching Neuromorphic Events and Color Images via Adversarial Learning
    Fang Xu, Shijie Lin, Wen Yang, Lei Yu, Dengxin Dai, Gui-song Xia
    http://arxiv.org/abs/2003.00636v1

    • [cs.CV]MonoPair: Monocular 3D Object Detection Using Pairwise Spatial Relationships
    Yongjian Chen, Lei Tai, Kai Sun, Mingyang Li
    http://arxiv.org/abs/2003.00504v1

    • [cs.CV]PF-Net: Point Fractal Network for 3D Point Cloud Completion
    Zitian Huang, Yikuan Yu, Jiawen Xu, Feng Ni, Xinyi Le
    http://arxiv.org/abs/2003.00410v1

    • [cs.CV]Plug & Play Convolutional Regression Tracker for Video Object Detection
    Ye Lyu, Michael Ying Yang, George Vosselman, Gui-Song Xia
    http://arxiv.org/abs/2003.00981v1

    • [cs.CV]Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud
    Weijing Shi, Ragunathan, Rajkumar
    http://arxiv.org/abs/2003.01251v1

    • [cs.CV]PointASNL: Robust Point Clouds Processing using Nonlocal Neural Networks with Adaptive Sampling
    Xu Yan, Chaoda Zheng, Zhen Li, Sheng Wang, Shuguang Cui
    http://arxiv.org/abs/2003.00492v1

    • [cs.CV]Relational Deep Feature Learning for Heterogeneous Face Recognition
    MyeongAh Cho, Taeoh Kim, Ig-Jae Kim, Sangyoun Lee
    http://arxiv.org/abs/2003.00697v1

    • [cs.CV]Rethinking Fully Convolutional Networks for the Analysis of Photoluminescence Wafer Images
    Maike Lorena Stern, Hans Lindberg, Klaus Meyer-Wegener
    http://arxiv.org/abs/2003.00594v1

    • [cs.CV]Rethinking Zero-shot Video Classification: End-to-end Training for Realistic Applications
    Biagio Brattoli, Joe Tighe, Fedor Zhdanov, Pietro Perona, Krzysztof Chalupka
    http://arxiv.org/abs/2003.01455v1

    • [cs.CV]STC-Flow: Spatio-temporal Context-aware Optical Flow Estimation
    Xiaolin Song, Yuyang Zhao, Jingyu Yang, Cuiling Lan, Wenjun Zeng, Jiahao Li
    http://arxiv.org/abs/2003.00434v1

    • [cs.CV]Say As You Wish: Fine-grained Control of Image Caption Generation with Abstract Scene Graphs
    Shizhe Chen, Qin Jin, Peng Wang, Qi Wu
    http://arxiv.org/abs/2003.00387v1

    • [cs.CV]Single-Shot Pose Estimation of Surgical Robot Instruments’ Shafts from Monocular Endoscopic Images
    Masakazu Yoshimura, Murilo M. Marinho, Kanako Harada, Mamoru Mitsuishi
    http://arxiv.org/abs/2003.01267v1

    • [cs.CV]SketchGCN: Semantic Sketch Segmentation with Graph Convolutional Networks
    Lumin Yang, Jiajie Zhuang, Hongbo Fu, Kun Zhou, Youyi Zheng
    http://arxiv.org/abs/2003.00678v1

    • [cs.CV]Soft-Root-Sign Activation Function
    Yuan Zhou, Dandan Li, Shuwei Huo, Sun-Yuan Kung
    http://arxiv.org/abs/2003.00547v1

    • [cs.CV]State-Aware Tracker for Real-Time Video Object Segmentation
    Xi Chen, Zuoxin Li, Ye Yuan, Gang Yu, Jianxin Shen, Donglian Qi
    http://arxiv.org/abs/2003.00482v1

    • [cs.CV]The Sloop System for Individual Animal Identification with Deep Learning
    Kshitij Bakliwal, Sai Ravela
    http://arxiv.org/abs/2003.00559v1

    • [cs.CV]Towards Automatic Face-to-Face Translation
    Prajwal K R, Rudrabha Mukhopadhyay, Jerin Philip, Abhishek Jha, Vinay Namboodiri, C. V. Jawahar
    http://arxiv.org/abs/2003.00418v1

    • [cs.CV]Towards Noise-resistant Object Detection with Noisy Annotations
    Junnan Li, Caiming Xiong, Richard Socher, Steven Hoi
    http://arxiv.org/abs/2003.01285v1

    • [cs.CV]Towards Unconstrained Palmprint Recognition on Consumer Devices: a Literature Review
    Adrian-S. Ungureanu, Saqib Salahuddin, Peter Corcoran
    http://arxiv.org/abs/2003.00737v1

    • [cs.CV]Trained Model Fusion for Object Detection using Gating Network
    Tetsuo Inoshita, Yuichi Nakatani, Katsuhiko Takahashi, Asuka Ishii, Gaku Nakano
    http://arxiv.org/abs/2003.01288v1

    • [cs.CV]UDD: An Underwater Open-sea Farm Object Detection Dataset for Underwater Robot Picking
    Zhihui Wang, Chongwei Liu, Shijie Wang, Tao Tang, Yulong Tao, Caifei Yang, Haojie Li, Xing Liu, Xin Fan
    http://arxiv.org/abs/2003.01446v1

    • [cs.CV]Unbiased Mean Teacher for Cross Domain Object Detection
    Jinhong Deng, Wen Li, Yuhua Chen, Lixin Duan
    http://arxiv.org/abs/2003.00707v1

    • [cs.CV]Understanding Contexts Inside Robot and Human Manipulation Tasks through a Vision-Language Model and Ontology System in a Video Stream
    Chen Jiang, Masood Dehghan, Martin Jagersand
    http://arxiv.org/abs/2003.01163v1

    • [cs.CV]Unsupervised Domain Adaptation for Mammogram Image Classification: A Promising Tool for Model Generalization
    Yu Zhang, Gongbo Liang, Nathan Jacobs, Xiaoqin Wang
    http://arxiv.org/abs/2003.01111v1

    • [cs.CV]Unsupervised Learning of Depth, Optical Flow and Pose with Occlusion from 3D Geometry
    Guangming Wang, Chi Zhang, Hesheng Wang, Jingchuan Wang, Yong Wang, Xinlei Wang
    http://arxiv.org/abs/2003.00766v1

    • [cs.CV]Unsupervised Learning of Intrinsic Structural Representation Points
    Nenglun Chen, Lingjie Liu, Zhiming Cui, Runnan Chen, Duygu Ceylan, Changhe Tu, Wenping Wang
    http://arxiv.org/abs/2003.01661v1

    • [cs.CV]VAE/WGAN-Based Image Representation Learning For Pose-Preserving Seamless Identity Replacement In Facial Images
    Hiroki Kawai, Jiawei Chen, Prakash Ishwar, Janusz Konrad
    http://arxiv.org/abs/2003.00641v1

    • [cs.CV]Volumetric landmark detection with a multi-scale shift equivariant neural network
    Tianyu Ma, Ajay Gupta, Mert R. Sabuncu
    http://arxiv.org/abs/2003.01639v1

    • [cs.CV]What’s the relationship between CNNs and communication systems?
    Hao Ge, Xiaoguang Tu, Yanxiang Gong, Mei Xie, Zheng Ma
    http://arxiv.org/abs/2003.01413v1

    • [cs.CV]ZoomNet: Part-Aware Adaptive Zooming Neural Network for 3D Object Detection
    Zhenbo Xu, Wei Zhang, Xiaoqing Ye, Xiao Tan, Wei Yang, Shilei Wen, Errui Ding, Ajin Meng, Liusheng Huang
    http://arxiv.org/abs/2003.00529v1

    • [cs.CV]multi-patch aggregation models for resampling detection
    Mohit Lamba, Kaushik Mitra
    http://arxiv.org/abs/2003.01364v1

    • [cs.CY]Marketplace for AI Models
    Abhishek Kumar, Benjamin Finley, Tristan Braud, Sasu Tarkoma, Pan Hui
    http://arxiv.org/abs/2003.01593v1

    • [cs.CY]The Magic Word: A Coding Tutorial-Game to Engage Female Teenagers in App Design
    Bernadette Spieler, Naomi Pfaff, Stefania Makrygiannaki, Wolfgang Slany
    http://arxiv.org/abs/2003.01380v1

    • [cs.CY]Toward equipping Artificial Moral Agents with multiple ethical theories
    George Rautenbach, C. Maria Keet
    http://arxiv.org/abs/2003.00935v1

    • [cs.CY]Unsafe At Any Level: NHTSA’s levels of automation are a liability for autonomous vehicle design and regulation
    Marc Canellas, Rachel Haga
    http://arxiv.org/abs/2003.00326v1

    • [cs.DB]Evaluating Temporal Queries Over Video Feeds
    Yueting Chen, Xiaohui Yu, Nick Koudas
    http://arxiv.org/abs/2003.00953v2

    • [cs.DC]A New MRAM-based Process In-Memory Accelerator for Efficient Neural Network Training with Floating Point Precision
    Hongjie Wang, Yang Zhao, Chaojian Li, Yue Wang, Yingyan Lin
    http://arxiv.org/abs/2003.01551v1

    • [cs.DC]A Note on Latency Variability of Deep Neural Networks for Mobile Inference
    Luting Yang, Bingqian Lu, Shaolei Ren
    http://arxiv.org/abs/2003.00138v1

    • [cs.DC]A Survey on Big Data for Network Traffic Monitoring and Analysis
    Alessandro D’Alconzo, Idilio Drago, Andrea Morichetta, Marco Mellia, Pedro Casas
    http://arxiv.org/abs/2003.01648v1

    • [cs.DC]AutoPhase: Juggling HLS Phase Orderings in Random Forests with Deep Reinforcement Learning
    Qijing Huang, Ameer Haj-Ali, William Moses, John Xiang, Ion Stoica, Krste Asanovic, John Wawrzynek
    http://arxiv.org/abs/2003.00671v1

    • [cs.DC]Bipartisan Paxos: A Modular State Machine Replication Protocol
    Michael Whittaker, Neil Giridharan, Adriana Szekeres, Joseph M. Hellerstein, Ion Stoica
    http://arxiv.org/abs/2003.00331v1

    • [cs.DC]Concurrent Disjoint Set Union
    Siddhartha V. Jayanti, Robert E. Tarjan
    http://arxiv.org/abs/2003.01203v1

    • [cs.DC]Dynamic Graph Operations: A Consistent Non-blocking Approach
    Bapi Chatterjee, Sathya Peri, Muktikanta Sa
    http://arxiv.org/abs/2003.01697v1

    • [cs.DC]Enumerating Hardware-Software Splits with Program Rewriting
    Gus Smith, Zachary Tatlock, Luis Ceze
    http://arxiv.org/abs/2003.00290v1

    • [cs.DC]Fast Gunrock Subgraph Matching (GSM) on GPUs
    Leyuan Wang, John D. Owens
    http://arxiv.org/abs/2003.01527v1

    • [cs.DC]FlexServe: Deployment of PyTorch Models as Flexible REST Endpoints
    Edward Verenich, Alvaro Velasquez, M. G. Sarwar Murshed, Faraz Hussain
    http://arxiv.org/abs/2003.01538v1

    • [cs.DC]Graph3S: A Simple, Speedy and Scalable Distributed Graph Processing System
    Xubo Wang, Lu Qin, Lijun Chang, Ying Zhang, Dong Wen, Xuemin Lin
    http://arxiv.org/abs/2003.00680v1

    • [cs.DC]HPC as a Service: A naive model
    Hamza Ali Imran, Saad Wazir, Ahmed Jamal Ikram, Ataul Aziz Ikram, Hanif Ullah, Maryam Ehsan
    http://arxiv.org/abs/2003.00465v1

    • [cs.DC]High Performance Parallel Sort for Shared and Distributed Memory MIMD
    Thoria Alghamdi, Gita Alaghband
    http://arxiv.org/abs/2003.01216v1

    • [cs.DC]On-the-fly Optimization of Parallel Computation of Symbolic Symplectic Invariants
    Joseph Ben Geloun, Camille Coti, Allen D. Malony
    http://arxiv.org/abs/2003.01081v1

    • [cs.DC]Performance Optimization for Edge-Cloud Serverless Platforms via Dynamic Task Placement
    Anirban Das, Shigeru Imai, Mike P. Wittie, Stacy Patterson
    http://arxiv.org/abs/2003.01310v1

    • [cs.DC]Reconfigurable Parallel Architecture of High Speed Round Robin Arbiter
    Arnab Paul, Mamdudul Haque Khan, M. Muktadir Rahman, Tanvir Zaman Khan, Prajoy Podder, Md. Yeasir Akram Khan
    http://arxiv.org/abs/2003.01107v1

    • [cs.DC]VAT: Asymptotic Cost Analysis for Multi-Level Key-Value Stores
    Nikos Batsaras, Giorgos Saloustros, Anastasios Papagiannis, Panagiota Fatourou, Angelos Bilas
    http://arxiv.org/abs/2003.00103v1

    • [cs.DL]China may need to support more small teams in scientific research
    Linlin Liu, Jianfei Yu, Junming Huang, Feng Xia, Tao Jia
    http://arxiv.org/abs/2003.01108v1

    • [cs.DS]A General Framework for Symmetric Property Estimation
    Moses Charikar, Kirankumar Shiragur, Aaron Sidford
    http://arxiv.org/abs/2003.00844v1

    • [cs.DS]Contextual Search for General Hypothesis Classes
    Allen Liu, Renato Paes Leme, Jon Schneider
    http://arxiv.org/abs/2003.01703v1

    • [cs.DS]Massively Parallel Algorithms for Distance Approximation and Spanners
    Amartya Shankha Biswas, Michal Dory, Mohsen Ghaffari, Slobodan Mitrović, Yasamin Nazari
    http://arxiv.org/abs/2003.01254v1

    • [cs.DS]Recent Advances in Scalable Network Generation
    Manuel Penschuck, Ulrik Brandes, Michael Hamann, Sebastian Lamm, Ulrich Meyer, Ilya Safro, Peter Sanders, Christian Schulz
    http://arxiv.org/abs/2003.00736v1

    • [cs.DS]Scalable Distributed Approximation of Internal Measures for Clustering Evaluation
    Federico Altieri, Andrea Pietracaprina, Geppino Pucci, Fabio Vandin
    http://arxiv.org/abs/2003.01430v1

    • [cs.GT]A Permutation-Equivariant Neural Network Architecture For Auction Design
    Jad Rahme, Samy Jelassi, Joan Bruna, S. Matthew Weinberg
    http://arxiv.org/abs/2003.01497v1

    • [cs.HC]Convo: What does conversational programming need? An exploration of machine learning interface design
    Jessica Van Brummelen, Kevin Weng, Phoebe Lin, Catherine Yeo
    http://arxiv.org/abs/2003.01318v1

    • [cs.HC]Digital Collaborator: Augmenting Task Abstraction in Visualization Design with Artificial Intelligence
    Aditeya Pandey, Yixuan Zhang, John A. Guerra-Gomez, Andrea G. Parker, Michelle A. Borkin
    http://arxiv.org/abs/2003.01304v1

    • [cs.HC]Evidence-based explanation to promote fairness in AI systems
    Juliana Jansen Ferreira, Mateus de Souza Monteiro
    http://arxiv.org/abs/2003.01525v1

    • [cs.HC]Investigating Social Haptic Illusions for Tactile Stroking (SHIFTS)
    Cara M. Nunez, Bryce N. Huerta, Allison M. Okamura, Heather Culbertson
    http://arxiv.org/abs/2003.00954v1

    • [cs.HC]Understanding the Prediction Mechanism of Sentiments by XAI Visualization
    Chaehan So
    http://arxiv.org/abs/2003.01425v1

    • [cs.IR]A Survey on Knowledge Graph-Based Recommender Systems
    Qingyu Guo, Fuzhen Zhuang, Chuan Qin, Hengshu Zhu, Xing Xie, Hui Xiong, Qing He
    http://arxiv.org/abs/2003.00911v1

    • [cs.IR]Federating Recommendations Using Differentially Private Prototypes
    Mónica Ribero, Jette Henderson, Sinead Williamson, Haris Vikalo
    http://arxiv.org/abs/2003.00602v1

    • [cs.IR]Image Hashing by Minimizing Independent Relaxed Wasserstein Distance
    Khoa D. Doan, Amir Kimiyaie, Saurav Manchanda, Chandan K. Reddy
    http://arxiv.org/abs/2003.00134v1

    • [cs.IR]Jointly Learning to Recommend and Advertise
    Xiangyu Zhao, Xudong Zheng, Xiwang Yang, Xiaobing Liu, Jiliang Tang
    http://arxiv.org/abs/2003.00097v1

    • [cs.IR]The STEM-ECR Dataset: Grounding Scientific Entity References in STEM Scholarly Content to Authoritative Encyclopedic and Lexicographic Sources
    Jennifer D’Souza, Anett Hoppe, Arthur Brack, Mohamad Yaser Jaradeh, Sören Auer, Ralph Ewerth
    http://arxiv.org/abs/2003.01006v2

    • [cs.IR]Using Image Captions and Multitask Learning for Recommending Query Reformulations
    Gaurav Verma, Vishwa Vinay, Sahil Bansal, Shashank Oberoi, Makkunda Sharma, Prakhar Gupta
    http://arxiv.org/abs/2003.00708v1

    • [cs.IR]Viewing the Progression of the Novel Corona Virus (COVID-19) with NewsStand
    John Kastner, Hong Wei, Hanan Samet
    http://arxiv.org/abs/2003.00107v1

    • [cs.IT]A new method for constructing EAQEC MDS codes
    Peng Hu, Xiusheng Liu
    http://arxiv.org/abs/2003.00843v1

    • [cs.IT]Accelerating Generalized Benders Decomposition for Wireless Resource Allocation
    Mengyuan Lee, Ning Ma, Guanding Yu, Huaiyu Dai
    http://arxiv.org/abs/2003.01294v1

    • [cs.IT]Adaptive Millimeter-Wave Communications Exploiting Mobility and Blockage Dynamics
    Muddassar Hussain, Maria Scalabrin, Michele Rossi, Nicolò Michelusi
    http://arxiv.org/abs/2003.01110v1

    • [cs.IT]AoI and Energy Consumption Oriented Dynamic Status Updating in Caching Enabled IoT Networks
    Chao Xu, Xijun Wang, Howard H. Yang, Hongguang Sun, Tony Q. S. Quek
    http://arxiv.org/abs/2003.00383v1

    • [cs.IT]Average Age of Changed Information in the Internet of Things
    Wenrui Lin, Xijun Wang, Chao Xu, Xinghua Sun, Xiang Chen
    http://arxiv.org/abs/2003.00384v1

    • [cs.IT]Bayesian Receiver Design for Grant-Free NOMA with Message Passing Based Structured Signal Estimation
    Zhang Yuanyuan, Yuan Zhengdao, Guo Qinghua, Wang Zhongyong, Xi Jiangtao, Li Yonghui
    http://arxiv.org/abs/2003.01307v1

    • [cs.IT]Code-domain NOMA in Massive MIMO: When is it Needed?
    Mai T. P. Le, Luca Sanguinetti, Emil Björnson, Maria-Gabriella Di Benedetto
    http://arxiv.org/abs/2003.01281v1

    • [cs.IT]Deep Reinforcement Learning for Fresh Data Collection in UAV-assisted IoT Networks
    Mengjie Yi, Xijun Wang, Juan Liu, Yan Zhang, Bo Bai
    http://arxiv.org/abs/2003.00391v1

    • [cs.IT]Downlink Secrecy Rate of One-Bit Massive MIMO System with Active Eavesdropping
    M. A. Teeti
    http://arxiv.org/abs/2003.00246v1

    • [cs.IT]Impact of Spatially Consistent Channels on Digital Beamforming for Millimeter-Wave Systems
    Harsh Tataria, Fredrik Tufvesson
    http://arxiv.org/abs/2003.01653v1

    • [cs.IT]Intelligent Reflecting Surface Assisted Multi-User OFDMA: Channel Estimation and Training Design
    Beixiong Zheng, Changsheng You, Rui Zhang
    http://arxiv.org/abs/2003.00648v1

    • [cs.IT]Intelligent UAV Base Station Selection in Urban Environments: A Supervised Learning Approach
    Boris Galkin, Ramy Amer, Erika Fonseca, Luiz A. DaSilva
    http://arxiv.org/abs/2003.01287v1

    • [cs.IT]OTFS Based Receiver Scheme With Multi-Antennas in High-Mobility V2X Systems
    Junqiang Cheng, Chenglu Jia, Hui Gao, Wenjun Xu, Zhisong Bie
    http://arxiv.org/abs/2003.01400v1

    • [cs.IT]On Dominant Interference in Random Networks and Communication Reliability
    Dong Liu, Baptiste Cavarec, Lars K. Rasmussen, Jing Yue
    http://arxiv.org/abs/2003.01433v1

    • [cs.IT]On the Probability of Erasure for MIMO-OFDM
    K. Vasudevan, A. Phani Kumar Reddy, Gyanesh Kumar Pathak, Shivani Singh
    http://arxiv.org/abs/2003.01010v1

    • [cs.IT]Optimal Constant-Weight Codes under $l_1$-Metric
    Tingting Chen, Yiming Ma, Xiande Zhang
    http://arxiv.org/abs/2003.00483v1

    • [cs.IT]Predictive Control and Communication Co-Design: A Gaussian Process Regression Approach
    Abanoub M. Girgis, Jihong Park, Chen-Feng Liu, Mehdi Bennis
    http://arxiv.org/abs/2003.00243v1

    • [cs.IT]Real-Time Implementation Aspects of Large Intelligent Surfaces
    Harsh Tataria, Fredrik Tufvesson, Ove Edfors
    http://arxiv.org/abs/2003.01672v1

    • [cs.IT]Smooth Strongly Convex Regression
    Andrea Simonetto
    http://arxiv.org/abs/2003.00771v1

    • [cs.IT]The Rate Distortion Function of Asynchronously Sampled Memoryless Cyclostationary Gaussian Processes
    Emeka Abakasanga, Nir Shlezinger, Ron Dabora
    http://arxiv.org/abs/2003.00262v1

    • [cs.IT]Timely Synchronization with Sporadic Status Changes
    Chenghao Deng, Jing Yang, Changyong Pan
    http://arxiv.org/abs/2003.00624v1

    • [cs.LG]A Hybrid Stochastic Policy Gradient Algorithm for Reinforcement Learning
    Nhan H. Pham, Lam M. Nguyen, Dzung T. Phan, Phuong Ha Nguyen, Marten van Dijk, Quoc Tran-Dinh
    http://arxiv.org/abs/2003.00430v1

    • [cs.LG]A review of machine learning applications in wildfire science and management
    Piyush Jain, Sean C P Coogan, Sriram Ganapathi Subramanian, Mark Crowley, Steve Taylor, Mike D Flannigan
    http://arxiv.org/abs/2003.00646v1

    • [cs.LG]Adaptive Federated Optimization
    Sashank Reddi, Zachary Charles, Manzil Zaheer, Zachary Garrett, Keith Rush, Jakub Konečný, Sanjiv Kumar, H. Brendan McMahan
    http://arxiv.org/abs/2003.00295v1

    • [cs.LG]Addressing target shift in zero-shot learning using grouped adversarial learning
    Saneem Ahmed Chemmengath, Samarth Bharadwaj, Soumava Paul, Suranjana Samanta, Karthik Sankaranarayanan
    http://arxiv.org/abs/2003.00845v1

    • [cs.LG]Advanced kNN: A Mature Machine Learning Series
    Muhammad Asim, Muaaz Zakria
    http://arxiv.org/abs/2003.00415v1

    • [cs.LG]Adversarial Attacks and Defenses on Graphs: A Review and Empirical Study
    Wei Jin, Yaxin Li, Han Xu, Yiqi Wang, Jiliang Tang
    http://arxiv.org/abs/2003.00653v2

    • [cs.LG]An Equivalence Between Private Classification and Online Prediction
    Mark Bun, Roi Livni, Shay Moran
    http://arxiv.org/abs/2003.00563v1

    • [cs.LG]An Information-Theoretic Approach to Explainable Machine Learning
    Alexander Jung
    http://arxiv.org/abs/2003.00484v1

    • [cs.LG]An Online Learning Framework for Energy-Efficient Navigation of Electric Vehicles
    Niklas Åkerblom, Yuxin Chen, Morteza Haghir Chehreghani
    http://arxiv.org/abs/2003.01416v1

    • [cs.LG]Analyzing Accuracy Loss in Randomized Smoothing Defenses
    Yue Gao, Harrison Rosenberg, Kassem Fawaz, Somesh Jha, Justin Hsu
    http://arxiv.org/abs/2003.01595v1

    • [cs.LG]Asynchronous Policy Evaluation in Distributed Reinforcement Learning over Networks
    Xingyu Sha, Jiaqi Zhang, Kaiqing Zhang, Keyou You, Tamer Başar
    http://arxiv.org/abs/2003.00433v1

    • [cs.LG]Automatic Differentiation Variational Inference with Mixtures
    Warren R. Morningstar, Sharad M. Vikram, Cusuh Ham, Andrew Gallagher, Joshua V. Dillon
    http://arxiv.org/abs/2003.01687v1

    • [cs.LG]BASGD: Buffered Asynchronous SGD for Byzantine Learning
    Yi-Rui Yang, Wu-Jun Li
    http://arxiv.org/abs/2003.00937v2

    • [cs.LG]Batch Stationary Distribution Estimation
    Junfeng Wen, Bo Dai, Lihong Li, Dale Schuurmans
    http://arxiv.org/abs/2003.00722v1

    • [cs.LG]Bayesian Neural Networks With Maximum Mean Discrepancy Regularization
    Jary Pomponi, Simone Scardapane, Aurelio Uncini
    http://arxiv.org/abs/2003.00952v1

    • [cs.LG]Benchmarking Graph Neural Networks
    Vijay Prakash Dwivedi, Chaitanya K. Joshi, Thomas Laurent, Yoshua Bengio, Xavier Bresson
    http://arxiv.org/abs/2003.00982v1

    • [cs.LG]Better Depth-Width Trade-offs for Neural Networks through the lens of Dynamical Systems
    Vaggos Chatziafratis, Sai Ganesh Nagarajan, Ioannis Panageas
    http://arxiv.org/abs/2003.00777v1

    • [cs.LG]Bounded Regret for Finitely Parameterized Multi-Armed Bandits
    Kishan Panaganti, Dileep Kalathil
    http://arxiv.org/abs/2003.01328v1

    • [cs.LG]Budget-Constrained Bandits over General Cost and Reward Distributions
    Semih Cayci, Atilla Eryilmaz, R. Srikant
    http://arxiv.org/abs/2003.00365v1

    • [cs.LG]CRATOS: Cogination of Reliable Algorithm for Time-series Optimal Solution
    Ziling Wu, Ping Liu, Zheng Hu, Jun Wang
    http://arxiv.org/abs/2003.01412v1

    • [cs.LG]Can Increasing Input Dimensionality Improve Deep Reinforcement Learning?
    Kei Ota, Tomoaki Oiki, Devesh K. Jha, Toshisada Mariyama, Daniel Nikovski
    http://arxiv.org/abs/2003.01629v1

    • [cs.LG]Cluster-Based Social Reinforcement Learning
    Mahak Goindani, Jennifer Neville
    http://arxiv.org/abs/2003.00627v1

    • [cs.LG]Compact Surjective Encoding Autoencoder for Unsupervised Novelty Detection
    Jaewoo Park, Yoon Gyo Jung, Andrew Beng Jin Teoh
    http://arxiv.org/abs/2003.01665v1

    • [cs.LG]Contextual Policy Reuse using Deep Mixture Models
    Michael Gimelfarb, Scott Sanner, Chi-Guhn Lee
    http://arxiv.org/abs/2003.00203v1

    • [cs.LG]Contextual-Bandit Based Personalized Recommendation with Time-Varying User Interests
    Xiao Xu, Fang Dong, Yanghua Li, Shaojian He, Xin Li
    http://arxiv.org/abs/2003.00359v1

    • [cs.LG]Curriculum By Texture
    Samarth Sinha, Animesh Garg, Hugo Larochelle
    http://arxiv.org/abs/2003.01367v1

    • [cs.LG]DETECT: Deep Trajectory Clustering for Mobility-Behavior Analysis
    Mingxuan Yue, Yaguang Li, Haoze Yang, Ritesh Ahuja, Yao-Yi Chiang, Cyrus Shahabi
    http://arxiv.org/abs/2003.01351v1

    • [cs.LG]Decision Trees for Decision-Making under the Predict-then-Optimize Framework
    Adam N. Elmachtoub, Jason Cheuk Nam Liang, Ryan McNellis
    http://arxiv.org/abs/2003.00360v1

    • [cs.LG]Deep Survival Machines: Fully Parametric Survival Regression and Representation Learning for Censored Data with Competing Risks
    Chirag Nagpal, Xinyu Li, Artur Dubrawski
    http://arxiv.org/abs/2003.01176v1

    • [cs.LG]Demonstrating Rosa: the fairness solution for any Data Analytic pipeline
    Kate Wilkinson, George Cevora
    http://arxiv.org/abs/2003.00899v1

    • [cs.LG]Determination of Latent Dimensionality in International Trade Flow
    Duc P. Truong, Erik Skau, Vladimir I. Valtchinov, Boian S. Alexandrov
    http://arxiv.org/abs/2003.00129v1

    • [cs.LG]Differentiable Causal Backdoor Discovery
    Limor Gultchin, Matt J. Kusner, Varun Kanade, Ricardo Silva
    http://arxiv.org/abs/2003.01461v1

    • [cs.LG]Differentially Private Deep Learning with Smooth Sensitivity
    Lichao Sun, Yingbo Zhou, Philip S. Yu, Caiming Xiong
    http://arxiv.org/abs/2003.00505v1

    • [cs.LG]Distributed Momentum for Byzantine-resilient Learning
    El-Mahdi El-Mhamdi, Rachid Guerraoui, Sébastien Rouault
    http://arxiv.org/abs/2003.00010v1

    • [cs.LG]Double Trouble in Double Descent : Bias and Variance(s) in the Lazy Regime
    Stéphane d’Ascoli, Maria Refinetti, Giulio Biroli, Florent Krzakala
    http://arxiv.org/abs/2003.01054v1

    • [cs.LG]Efficient Exploration in Constrained Environments with Goal-Oriented Reference Path
    Kei Ota, Yoko Sasaki, Devesh K. Jha, Yusuke Yoshiyasu, Asako Kanezaki
    http://arxiv.org/abs/2003.01641v1

    • [cs.LG]Ego-based Entropy Measures for Structural Representations
    George Dasoulas, Giannis Nikolentzos, Kevin Scaman, Aladin Virmaux, Michalis Vazirgiannis
    http://arxiv.org/abs/2003.00553v1

    • [cs.LG]Evaluation Framework For Large-scale Federated Learning
    Lifeng Liu, Fengda Zhang, Jun Xiao, Chao Wu
    http://arxiv.org/abs/2003.01575v1

    • [cs.LG]EvoNet: A Neural Network for Predicting the Evolution of Dynamic Graphs
    Changmin Wu, Giannis Nikolentzos, Michalis Vazirgiannis
    http://arxiv.org/abs/2003.00842v1

    • [cs.LG]Explaining Groups of Points in Low-Dimensional Representations
    Gregory Plumb, Jonathan Terhorst, Sriram Sankararaman, Ameet Talwalkar
    http://arxiv.org/abs/2003.01640v1

    • [cs.LG]Fast Predictive Uncertainty for Classification with Bayesian Deep Networks
    Marius Hobbhahn, Agustinus Kristiadi, Philipp Hennig
    http://arxiv.org/abs/2003.01227v1

    • [cs.LG]Gaussian Process Policy Optimization
    Ashish Rao, Bidipta Sarkar, Tejas Narayanan
    http://arxiv.org/abs/2003.01074v1

    • [cs.LG]Heterogeneous Graph Transformer
    Ziniu Hu, Yuxiao Dong, Kuansan Wang, Yizhou Sun
    http://arxiv.org/abs/2003.01332v1

    • [cs.LG]Hierarchically Decoupled Imitation for Morphological Transfer
    Donald J. Hejna III, Pieter Abbeel, Lerrel Pinto
    http://arxiv.org/abs/2003.01709v1

    • [cs.LG]Learn to Generate Time Series Conditioned Graphs with Generative Adversarial Nets
    Shanchao Yang, Jing Liu, Kai Wu, Mingming Li
    http://arxiv.org/abs/2003.01436v1

    • [cs.LG]Learning Contact-Rich Manipulation Tasks with Rigid Position-Controlled Robots: Learning to Force Control
    Cristian Camilo Beltran-Hernandez, Damien Petit, Ixchel G. Ramirez-Alpizar, Takayuki Nishi, Shinichi Kikuchi, Takamitsu Matsubara, Kensuke Harada
    http://arxiv.org/abs/2003.00628v1

    • [cs.LG]Learning Context-aware Task Reasoning for Efficient Meta-reinforcement Learning
    Haozhe Wang, Jiale Zhou, Xuming He
    http://arxiv.org/abs/2003.01373v1

    • [cs.LG]Learning from Positive and Unlabeled Data by Identifying the Annotation Process
    Naji Shajarisales, Peter Spirtes, Kun Zhang
    http://arxiv.org/abs/2003.01067v1

    • [cs.LG]MBGD-RDA Training and Rule Pruning for Concise TSK Fuzzy Regression Models
    Dongrui Wu
    http://arxiv.org/abs/2003.00608v2

    • [cs.LG]MPC-guided Imitation Learning of Neural Network Policies for the Artificial Pancreas
    Hongkai Chen, Nicola Paoletti, Scott A. Smolka, Shan Lin
    http://arxiv.org/abs/2003.01283v1

    • [cs.LG]Model Selection in Contextual Stochastic Bandit Problems
    Aldo Pacchiano, My Phan, Yasin Abbasi-Yadkori, Anup Rao, Julian Zimmert, Tor Lattimore, Csaba Szepesvari
    http://arxiv.org/abs/2003.01704v1

    • [cs.LG]Novelty-Prepared Few-Shot Classification
    Chao Wang, Ruo-Ze Liu, Han-Jia Ye, Yang Yu
    http://arxiv.org/abs/2003.00497v1

    • [cs.LG]On the Global Convergence of Training Deep Linear ResNets
    Difan Zou, Philip M. Long, Quanquan Gu
    http://arxiv.org/abs/2003.01094v1

    • [cs.LG]Online Agnostic Boosting via Regret Minimization
    Nataly Brukhim, Xinyi Chen, Elad Hazan, Shay Moran
    http://arxiv.org/abs/2003.01150v1

    • [cs.LG]Online Joint Bid/Daily Budget Optimization of Internet Advertising Campaigns
    Alessandro Nuara, Francesco Trovò, Nicola Gatti, Marcello Restelli
    http://arxiv.org/abs/2003.01452v1

    • [cs.LG]Out-of-Distribution Generalization via Risk Extrapolation (REx)
    David Krueger, Ethan Caballero, Joern-Henrik Jacobsen, Amy Zhang, Jonathan Binas, Remi Le Priol, Aaron Courville
    http://arxiv.org/abs/2003.00688v2

    • [cs.LG]Pattern Similarity-based Machine Learning Methods for Mid-term Load Forecasting: A Comparative Study
    Grzegorz Dudek, Pawel Pelka
    http://arxiv.org/abs/2003.01475v1

    • [cs.LG]Permutation Invariant Graph Generation via Score-Based Generative Modeling
    Chenhao Niu, Yang Song, Jiaming Song, Shengjia Zhao, Aditya Grover, Stefano Ermon
    http://arxiv.org/abs/2003.00638v1

    • [cs.LG]PlaNet of the Bayesians: Reconsidering and Improving Deep Planning Network by Incorporating Bayesian Inference
    Masashi Okada, Norio Kosaka, Tadahiro Taniguchi
    http://arxiv.org/abs/2003.00370v1

    • [cs.LG]Predictive Coding for Locally-Linear Control
    Rui Shu, Tung Nguyen, Yinlam Chow, Tuan Pham, Khoat Than, Mohammad Ghavamzadeh, Stefano Ermon, Hung H. Bui
    http://arxiv.org/abs/2003.01086v1

    • [cs.LG]Provably Efficient Safe Exploration via Primal-Dual Policy Optimization
    Dongsheng Ding, Xiaohan Wei, Zhuoran Yang, Zhaoran Wang, Mihailo R. Jovanović
    http://arxiv.org/abs/2003.00534v1

    • [cs.LG]RandomNet: Towards Fully Automatic Neural Architecture Design for Multimodal Learning
    Stefano Alletto, Shenyang Huang, Vincent Francois-Lavet, Yohei Nakata, Guillaume Rabusseau
    http://arxiv.org/abs/2003.01181v1

    • [cs.LG]Regression via Implicit Models and Optimal Transport Cost Minimization
    Saurav Manchanda, Khoa Doan, Pranjul Yadav, S. Sathiya Keerthi
    http://arxiv.org/abs/2003.01296v1

    • [cs.LG]Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks
    Francesco Croce, Matthias Hein
    http://arxiv.org/abs/2003.01690v1

    • [cs.LG]Rethinking Randomized Smoothing for Adversarial Robustness
    Jeet Mohapatra, Ching-Yun Ko, Tsui-Wei, Weng, Sijia Liu, Pin-Yu Chen, Luca Daniel
    http://arxiv.org/abs/2003.01249v1

    • [cs.LG]Robust Policy Search for Robot Navigation with Stochastic Meta-Policies
    Javier Garcia-Barcos, Ruben Martinez-Cantin
    http://arxiv.org/abs/2003.01000v1

    • [cs.LG]Safe Reinforcement Learning for Autonomous Vehicles through Parallel Constrained Policy Optimization
    Lu Wen, Jingliang Duan, Shengbo Eben Li, Shaobing Xu, Huei Peng
    http://arxiv.org/abs/2003.01303v1

    • [cs.LG]Scalable Learning Paradigms for Data-Driven Wireless Communication
    Yue Xu, Feng Yin, Wenjun Xu, Chia-Han Lee, Jiaru Lin, Shuguang Cui
    http://arxiv.org/abs/2003.00474v1

    • [cs.LG]Selectivity considered harmful: evaluating the causal impact of class selectivity in DNNs
    Matthew L. Leavitt, Ari Morcos
    http://arxiv.org/abs/2003.01262v1

    • [cs.LG]Self-Supervised Graph Representation Learning via Global Context Prediction
    Zhen Peng, Yixiang Dong, Minnan Luo, Xiao-Ming Wu, Qinghua Zheng
    http://arxiv.org/abs/2003.01604v1

    • [cs.LG]Self-Supervised Object-Level Deep Reinforcement Learning
    William Agnew, Pedro Domingos
    http://arxiv.org/abs/2003.01384v1

    • [cs.LG]Sparsity Meets Robustness: Channel Pruning for the Feynman-Kac Formalism Principled Robust Deep Neural Nets
    Thu Dinh, Bao Wang, Andrea L. Bertozzi, Stanley J. Osher
    http://arxiv.org/abs/2003.00631v1

    • [cs.LG]Stein Variational Inference for Discrete Distributions
    Jun Han, Fan Ding, Xianglong Liu, Lorenzo Torresani, Jian Peng, Qiang Liu
    http://arxiv.org/abs/2003.00605v1

    • [cs.LG]Stochastically Differentiable Probabilistic Programs
    David Tolpin, Yuan Zhou, Hongseok Yang
    http://arxiv.org/abs/2003.00704v1

    • [cs.LG]Structured Prediction with Partial Labelling through the Infimum Loss
    Vivien Cabannes, Alessandro Rudi, Francis Bach
    http://arxiv.org/abs/2003.00920v1

    • [cs.LG]Subadditivity of Probability Divergences on Bayes-Nets with Applications to Time Series GANs
    Mucong Ding, Constantinos Daskalakis, Soheil Feizi
    http://arxiv.org/abs/2003.00652v1

    • [cs.LG]Tensor Networks for Language Modeling
    Jacob Miller, Guillaume Rabusseau, John Terilla
    http://arxiv.org/abs/2003.01039v1

    • [cs.LG]Training BatchNorm and Only BatchNorm: On the Expressive Power of Random Features in CNNs
    Jonathan Frankle, David J. Schwab, Ari S. Morcos
    http://arxiv.org/abs/2003.00152v1

    • [cs.LG]Uncertainty-Aware Variational-Recurrent Imputation Network for Clinical Time Series
    Ahmad Wisnu Mulyadi, Eunji Jun, Heung-Il Suk
    http://arxiv.org/abs/2003.00662v1

    • [cs.LG]Uncertainty-Gated Stochastic Sequential Model for EHR Mortality Prediction
    Eunji Jun, Ahmad Wisnu Mulyadi, Jaehun Choi, Heung-Il Suk
    http://arxiv.org/abs/2003.00655v1

    • [cs.LG]Understanding the Intrinsic Robustness of Image Distributions using Conditional Generative Models
    Xiao Zhang, Jinghui Chen, Quanquan Gu, David Evans
    http://arxiv.org/abs/2003.00378v1

    • [cs.LG]Upper Confidence Primal-Dual Optimization: Stochastically Constrained Markov Decision Processes with Adversarial Losses and Unknown Transitions
    Shuang Qiu, Xiaohan Wei, Zhuoran Yang, Jieping Ye, Zhaoran Wang
    http://arxiv.org/abs/2003.00660v1

    • [cs.LG]VQ-DRAW: A Sequential Discrete VAE
    Alex Nichol
    http://arxiv.org/abs/2003.01599v1

    • [cs.LG]Variational inference formulation for a model-free simulation of a dynamical system with unknown parameters by a recurrent neural network
    Kyongmin Yeo, Dylan E. C. Grullon, Fan-Keng Sun, Duane S. Boning, Jayant R. Kalagnanam
    http://arxiv.org/abs/2003.01184v1

    • [cs.LO]Solving Satisfiability of Polynomial Formulas By Sample-Cell Projection
    Haokun Li, Bican Xia
    http://arxiv.org/abs/2003.00409v1

    • [cs.MA]Scaling Up Multiagent Reinforcement Learning for Robotic Systems: Learn an Adaptive Sparse Communication Graph
    Chuangchuang Sun, Macheng Shen, Jonathan P. How
    http://arxiv.org/abs/2003.01040v1

    • [cs.NE]A Metric for Evaluating Neural Input Representation in Supervised Learning Networks
    Richard R Carrillo, Francisco Naveros, Eduardo Ros, Niceto R Luque
    http://arxiv.org/abs/2003.01588v1

    • [cs.NE]ADWPNAS: Architecture-Driven Weight Prediction for Neural Architecture Search
    XuZhang, ChenjunZhou, BoGu
    http://arxiv.org/abs/2003.01335v1

    • [cs.NE]Adaptive Structural Hyper-Parameter Configuration by Q-Learning
    Haotian Zhang, Jianyong Sun, Zongben Xu
    http://arxiv.org/abs/2003.00863v1

    • [cs.NE]Embodied Synaptic Plasticity with Online Reinforcement learning
    Jacques Kaiser, Michael Hoff, Andreas Konle, J. Camilo Vasquez Tieck, David Kappel, Daniel Reichard, Anand Subramoney, Robert Legenstein, Arne Roennau, Wolfgang Maass, Rudiger Dillmann
    http://arxiv.org/abs/2003.01431v1

    • [cs.NE]Evolutionary Image Transition and Painting Using Random Walks
    Aneta Neumann, Bradley Alexander, Frank Neumann
    http://arxiv.org/abs/2003.01517v1

    • [cs.NE]Explicitly Trained Spiking Sparsity in Spiking Neural Networks with Backpropagation
    Jason M. Allred, Steven J. Spencer, Gopalakrishnan Srinivasan, Kaushik Roy
    http://arxiv.org/abs/2003.01250v1

    • [cs.NE]Information cartography in association rule mining
    Iztok Fister Jr., Iztok Fister
    http://arxiv.org/abs/2003.00348v1

    • [cs.NE]Reinforcement co-Learning of Deep and Spiking Neural Networks for Energy-Efficient Mapless Navigation with Neuromorphic Hardware
    Guangzhi Tang, Neelesh Kumar, Konstantinos P. Michmizos
    http://arxiv.org/abs/2003.01157v1

    • [cs.NI]Contention Window Optimization in IEEE 802.11ax Networks with Deep Reinforcement Learning
    Witold Wydmański, Szymon Szott
    http://arxiv.org/abs/2003.01492v1

    • [cs.NI]Improving THz Quality-of-Transmission with Systematic RLNC and Auxiliary Channels
    Cao Vien Phung, Anna Engelmann, Thomas Kuerner, Admela Jukan
    http://arxiv.org/abs/2003.00239v1

    • [cs.RO]3DCFS: Fast and Robust Joint 3D Semantic-Instance Segmentation via Coupled Feature Selection
    Liang Du, Jingang Tan, Xiangyang Xue, Lili Chen, Hongkai Wen, Jianfeng Feng, Jiamao Li, Xiaolin Zhang
    http://arxiv.org/abs/2003.00535v1

    • [cs.RO]A Lobster-inspired Hybrid Actuator With Rigid and Soft Components
    Yaohui Chen, Sing Le, Qiao Chu Tan, Oscar Lau, Chaoyang Song
    http://arxiv.org/abs/2003.00600v1

    • [cs.RO]A Lobster-inspired Robotic Glove for Hand Rehabilitation
    Yaohui Chen, Sing Le, Qiao Chu Tan, Oscar Lau, Fang Wan, Chaoyang Song
    http://arxiv.org/abs/2003.00577v1

    • [cs.RO]A Reconfigurable Hybrid Actuator with Rigid and Soft Components
    Yaohui Chen, Sing Le, Qiao Chu Tan, Oscar Lau, Fang Wan, Chaoyang Song
    http://arxiv.org/abs/2003.00588v1

    • [cs.RO]A Self-Supervised Learning Approach to Rapid Path Planning for Car-Like Vehicles Maneuvering in Urban Environment
    Piotr Kicki, Tomasz Gawron, Piotr Skrzypczyński
    http://arxiv.org/abs/2003.00946v1

    • [cs.RO]Adversarial Generation of Informative Trajectories for Dynamics System Identification
    Marija Jegorova, Joshua Smith, Michael Mistry, Timothy Hospedales
    http://arxiv.org/abs/2003.01190v1

    • [cs.RO]Aging Touch: Systematic and Unbiased Presentation of Tactile Stimuli
    Claudio Zito
    http://arxiv.org/abs/2003.01427v1

    • [cs.RO]Augmented Reality on the Large Scene Based on a Markerless Registration Framework
    Zhen Ma, He Xu, Yonghui Zhang, Junlong Chen, Dongbo Zhao, Siqing Chen
    http://arxiv.org/abs/2003.01256v1

    • [cs.RO]Bio-mimetic Adaptive Force/Position Control Using Fractal Impedance
    Carlo Tiseo, Wolfgang Merkt, Keyhan Kouhkiloui Babarahmati, Wouter Wolfslag, Sethu Vijayakumar, Michael Mistry
    http://arxiv.org/abs/2003.01466v1

    • [cs.RO]Closed-Loop Benchmarking of Stereo Visual-Inertial SLAM Systems: Understanding the Impact of Drift and Latency on Tracking Accuracy
    Yipu Zhao, Justin S. Smith, Sambhu H. Karumanchi, Patricio A. Vela
    http://arxiv.org/abs/2003.01317v1

    • [cs.RO]Comparison of Distal Teacher Learning with Numerical and Analytical Methods to Solve Inverse Kinematics for Rigid-Body Mechanisms
    Tim von Oehsen, Alexander Fabisch, Shivesh Kumar, Frank Kirchner
    http://arxiv.org/abs/2003.00225v1

    • [cs.RO]Decision-making for automated vehicles using a hierarchical behavior-based arbitration scheme
    Piotr Franciszek Orzechowski, Christoph Burger, Martin Lauer
    http://arxiv.org/abs/2003.01149v1

    • [cs.RO]Design and Implementation of A Novel Precision Irrigation Robot Based on An Intelligent Path Planning Algorithm
    Minghan Chen, Yilong Sun, Xueqing Cai, Boyi Liu, Tenglong Ren
    http://arxiv.org/abs/2003.00676v1

    • [cs.RO]EGAD! an Evolved Grasping Analysis Dataset for diversity and reproducibility in robotic manipulation
    Douglas Morrison, Peter Corke, Jürgen Leitner
    http://arxiv.org/abs/2003.01314v1

    • [cs.RO]Efficient Latent Representations using Multiple Tasks for Autonomous Driving
    Eshagh Kargar, Ville Kyrki
    http://arxiv.org/abs/2003.00695v1

    • [cs.RO]Experimental Evaluation of a Pseudo-Doppler Direction-Finding System for Localizing Radio Tags
    William E. Gerhard III, Pratap Tokekar
    http://arxiv.org/abs/2003.00386v1

    • [cs.RO]Exploiting Ergonomic Priors in Human-to-Robot Task Transfer
    Jeevan Manavalan, Prabhakar Ray, Matthew Howard
    http://arxiv.org/abs/2003.00544v1

    • [cs.RO]Extrinsic Calibration of a 3D-LIDAR and a Camera
    Subodh Mishra, Gaurav Pandey, Srikanth Saripalli
    http://arxiv.org/abs/2003.01213v1

    • [cs.RO]Fabric Defect Detection Using Vision-Based Tactile Sensor
    Bin Fang, Xingming Long, Yifan Zhang, GuoYi Luo, Fuchun Sun, Huaping Liu
    http://arxiv.org/abs/2003.00839v1

    • [cs.RO]Gaining a Sense of Touch. Physical Parameters Estimation using a Soft Gripper and Neural Networks
    Michał Bednarek, Piotr Kicki, Jakub Bednarek, Krzysztof Walas
    http://arxiv.org/abs/2003.00784v2

    • [cs.RO]Learn Task First or Learn Human Partner First? Deep Reinforcement Learning of Human-Robot Cooperation in Asymmetric Hierarchical Dynamic Task
    Lingfeng Tao, Michael Bowman, Jiucai Zhang, Xiaoli Zhang
    http://arxiv.org/abs/2003.00400v1

    • [cs.RO]Learning to Collide: An Adaptive Safety-Critical Scenarios Generating Method
    Wenhao Ding, Minjun Xu, Ding Zhao
    http://arxiv.org/abs/2003.01197v1

    • [cs.RO]MOZARD: Multi-Modal Localization for Autonomous Vehicles in Urban Outdoor Environments
    Lukas Schaupp, Patrick Pfreundschuh, Mathias Buerki, Cesar Cadena, Roland Siegwart, Juan Nieto
    http://arxiv.org/abs/2003.00924v2

    • [cs.RO]MVP: Unified Motion and Visual Self-Supervised Learning for Large-Scale Robotic Navigation
    Marvin Chancán, Michael Milford
    http://arxiv.org/abs/2003.00667v1

    • [cs.RO]Modeling and Control of a Hybrid Wheeled Jumping Robot
    Traiko Dinev, Songyan Xin, Wolfgang Merkt, Vladimir Ivan, Sethu Vijayakumar
    http://arxiv.org/abs/2003.01440v1

    • [cs.RO]NeuroTac: A Neuromorphic Optical Tactile Sensor applied to Texture Recognition
    Benjamin Ward-Cherrier, Nicholas Pestell, Nathan F. Lepora
    http://arxiv.org/abs/2003.00467v1

    • [cs.RO]Non-iterative One-step Solution for Point Set Registration Problem on Pose Estimation without Correspondence
    Yijun Yuan, Dorit Borrmann, Andreas Nüchter, Sören Schwertfeger
    http://arxiv.org/abs/2003.00457v1

    • [cs.RO]On robot compliance. A cerebellar control approach
    Ignacio Abadia, Francisco Naveros, Jesus A. Garrido, Eduardo Ros, Niceto R. Luque
    http://arxiv.org/abs/2003.01033v1

    • [cs.RO]On the Effectiveness of Virtual Reality-based Training for Robotic Setup
    Arian Mehrfard, Javad Fotouhi, Tess Forster, Giacomo Taylor, Danyal Fer, Deborah Nagle, Nassir Navab, Bernhard Fuerst
    http://arxiv.org/abs/2003.01540v1

    • [cs.RO]Optimal Oscillation Damping Control of cable-Suspended Aerial Manipulator with a Single IMU Sensor
    Yuri S. Sarkisov, Min Jun Kim, Andre Coelho, Dzmitry Tsetserukou, Christian Ott, Konstantin Kondak
    http://arxiv.org/abs/2003.00472v1

    • [cs.RO]Optimizing Dynamic Trajectories for Robustness to Disturbances Using Polytopic Projections
    Henrique Ferrolho, Wolfgang Merkt, Vladimir Ivan, Wouter Wolfslag, Sethu Vijayakumar
    http://arxiv.org/abs/2003.00609v1

    • [cs.RO]Planning to Build Soma Blocks Using a Dual-arm Robot
    Hao Chen, Weiwei Wan, Keisuke Koyama, Kensuke Harada
    http://arxiv.org/abs/2003.00699v1

    • [cs.RO]Plug-and-Play SLAM: A Unified SLAM Architecture for Modularity and Ease of Use
    Mirco Colosi, Irvin Aloise, Tiziano Guadagnino, Dominik Schlegel, Bartolomeo Della Corte, Kai O. Arras, Giorgio Grisetti
    http://arxiv.org/abs/2003.00754v1

    • [cs.RO]ProxEmo: Gait-based Emotion Learning and Multi-view Proxemic Fusion for Socially-Aware Robot Navigation
    Venkatraman Narayanan, Bala Murali Manoghar, Vishnu Sashank Dorbala, Dinesh Manocha, Aniket Bera
    http://arxiv.org/abs/2003.01062v1

    • [cs.RO]Rapidly Adaptable Legged Robots via Evolutionary Meta-Learning
    Xingyou Song, Yuxiang Yang, Krzysztof Choromanski, Ken Caluwaerts, Wenbo Gao, Chelsea Finn, Jie Tan
    http://arxiv.org/abs/2003.01239v1

    • [cs.RO]Real-World Human-Robot Collaborative Reinforcement Learning
    Ali Shafti, Jonas Tjomsland, William Dudley, A. Aldo Faisal
    http://arxiv.org/abs/2003.01156v1

    • [cs.RO]Reconfigurable Design for Omni-adaptive Grasp Learning
    Fang Wan, Haokun Wang, Jiyuan Wu, Yujia Liu, Sheng Ge, Chaoyang Song
    http://arxiv.org/abs/2003.01582v1

    • [cs.RO]Rectangular Pyramid Partitioning using Integrated Depth Sensors (RAPPIDS): A Fast Planner for Multicopter Navigation
    Nathan Bucki, Junseok Lee, Mark W. Mueller
    http://arxiv.org/abs/2003.01245v1

    • [cs.RO]Rigid-Soft Interactive Learning for Robust Grasping
    Linhan Yang, Fang Wan, Haokun Wang, Xiaobo Liu, Yujia Liu, Jia Pan, Chaoyang Song
    http://arxiv.org/abs/2003.01584v1

    • [cs.RO]Robot Calligraphy using Pseudospectral Optimal Control in Conjunction with a Novel Dynamic Brush Model
    Sen Wang, Jiaqi Chen, Xuanliang Deng, Seth Hutchinson, Frank Dellaert
    http://arxiv.org/abs/2003.01565v1

    • [cs.RO]Robot Mindreading and the Problem of Trust
    Andrés Páez
    http://arxiv.org/abs/2003.01238v1

    • [cs.RO]Robotic Grasping through Combined image-Based Grasp Proposal and 3D Reconstruction
    Tarik Tosun, Daniel Yang, Ben Eisner, Volkan Isler, Daniel Lee
    http://arxiv.org/abs/2003.01649v1

    • [cs.RO]Robust High-Transparency Haptic Exploration for Dexterous Telemanipulation
    Keyhan Kouhkiloui Babarahmati, Carlo Tiseo, Quentin Rouxel, Zhibin Li, Michael Mistry
    http://arxiv.org/abs/2003.01463v1

    • [cs.RO]Robust Robotic Pouring using Audition and Haptics
    Hongzhuo Liang, Chuangchuang Zhou, Shuang Li, Xiaojian Ma, Norman Hendrich, Timo Gerkmann, Fuchun Sun, Jianwei Zhang
    http://arxiv.org/abs/2003.00342v1

    • [cs.RO]Robust tightly-coupled pose estimation based on monocular vision, inertia and wheel speed
    Peng Gang, Lu Zezao, Chen Bocheng, Chen Shanliang, He Dingxin
    http://arxiv.org/abs/2003.01496v1

    • [cs.RO]Safe Speed Control and Collision Probability Estimation Under Ego-Pose Uncertainty for Autonomous Vehicle
    Vladislav Kibalov, Oleg Shipitko
    http://arxiv.org/abs/2003.00675v1

    • [cs.RO]Scalable Tactile Sensing for an Omni-adaptive Soft Robot Finger
    Zeyi Yang, Sheng Ge, Fang Wan, Yujia Liu, Chaoyang Song
    http://arxiv.org/abs/2003.01583v1

    • [cs.RO]Socially-Aware Robot Planning via Bandit Human Feedback
    Xusheng Luo, Yan Zhang, Michael M. Zavlanos
    http://arxiv.org/abs/2003.00658v1

    • [cs.RO]Spatiotemporal Learning of Multivehicle Interaction Patterns in Lane-Change Scenarios
    Chengyuan Zhang, Jiacheng Zhu, Wenshuo Wang, Junqiang Xi
    http://arxiv.org/abs/2003.00759v1

    • [cs.RO]The Marathon 2: A Navigation System
    Steve Macenski, Francisco Martín, Ruffin White, Jonatan Ginés Clavero
    http://arxiv.org/abs/2003.00368v1

    • [cs.RO]The Use of Implicit Human Motor Behaviour in the Online Personalisation of Prosthetic Interfaces
    Ricardo Garcia-Rosas, Tianshi Yu, Denny Oetomo, Chris Manzie, Ying Tan, Peter Choong
    http://arxiv.org/abs/2003.01228v1

    • [cs.RO]Traversing the Reality Gap via Simulator Tuning
    Jack Collins, Ross Brown, Jurgen Leitner, David Howard
    http://arxiv.org/abs/2003.01369v1

    • [cs.RO]Underactuated Waypoint Trajectory Optimization for Light Painting Photography
    Christian Eilers, Jonas Eschmann, Robin Menzenbach, Boris Belousov, Fabio Muratore, Jan Peters
    http://arxiv.org/abs/2003.01554v1

    • [cs.RO]Vision-based Robot Manipulation Learning via Human Demonstrations
    Zhixin Jia, Mengxiang Lin, Zhixin Chen, Shibo Jian
    http://arxiv.org/abs/2003.00385v1

    • [cs.SD]One or Two Components? The Scattering Transform Answers
    Vincent Lostanlen, Alice Cohen-Hadria, Juan Pablo Bello
    http://arxiv.org/abs/2003.01037v1

    • [cs.SE]Exploring the Efficacy of Transfer Learning in Mining Image-Based Software Artifacts
    Natalie Best, Jordan Ott, Erik Linstead
    http://arxiv.org/abs/2003.01627v1

    • [cs.SE]Towards Probability-based Safety Verification of Systems with Components from Machine Learning
    Hermann Kaindl, Stefan Kramer
    http://arxiv.org/abs/2003.01155v1

    • [cs.SI]Advertisers Jump on Coronavirus Bandwagon: Politics, News, and Business
    Yelena Mejova, Kyriaki Kalimeri
    http://arxiv.org/abs/2003.00923v1

    • [cs.SI]Everything About You: A Multimodal Approach towards Friendship Inference in Online Social Networks
    Tahleen Rahman, Mario Fritz, Michael Backes, Yang Zhang
    http://arxiv.org/abs/2003.00996v1

    • [cs.SI]Just SLaQ When You Approximate: Accurate Spectral Distances for Web-Scale Graphs
    Anton Tsitsulin, Marina Munkhoeva, Bryan Perozzi
    http://arxiv.org/abs/2003.01282v1

    • [cs.SI]Library Adoption Dynamics in Software Teams
    Pamela Bilo Thomas, Rachel Krohn, Tim Weninger
    http://arxiv.org/abs/2003.00045v1

    • [cs.SI]Unveiling Coordinated Groups Behind White Helmets Disinformation
    Diogo Pacheco, Alessandro Flammini, Filippo Menczer
    http://arxiv.org/abs/2003.01313v1

    • [cs.SI]YouTube Recommendations and Effects on Sharing Across Online Social Platforms
    Cody Buntain, Richard Bonneau, Jonathan Nagler, Joshua A. Tucker
    http://arxiv.org/abs/2003.00970v1

    • [eess.AS]Pathological speech detection using x-vector embeddings
    Catarina Botelho, Francisco Teixeira, Thomas Rolland, Alberto Abad, Isabel Trancoso
    http://arxiv.org/abs/2003.00864v2

    • [eess.AS]SELD-TCN: Sound Event Localization & Detection via Temporal Convolutional Networks
    Karim Guirguis, Christoph Schorn, Andre Guntoro, Sherif Abdulatif, Bin Yang
    http://arxiv.org/abs/2003.01609v1

    • [eess.IV]A Deep learning Approach to Generate Contrast-Enhanced Computerised Tomography Angiography without the Use of Intravenous Contrast Agents
    Anirudh Chandrashekar, Ashok Handa, Natesh Shivakumar, Pierfrancesco Lapolla, Vicente Grau, Regent Lee
    http://arxiv.org/abs/2003.01223v1

    • [eess.IV]BUSU-Net: An Ensemble U-Net Framework for Medical Image Segmentation
    Wei Hao Khoong
    http://arxiv.org/abs/2003.01581v1

    • [eess.IV]Constrained Nonnegative Matrix Factorization for Blind Hyperspectral Unmixing incorporating Endmember Independence
    E. M. M. B. Ekanayake, Bhathiya Rathnayake, G. M. R. I. Godaliyadda, H. M. V. R. Herath, M. P. B. Ekanayake
    http://arxiv.org/abs/2003.01041v1

    • [eess.IV]DDU-Nets: Distributed Dense Model for 3D MRI Brain Tumor Segmentation
    Hanxiao Zhang, Jingxiong Li, Mali Shen, Yaqi Wang, Guang-Zhong Yang
    http://arxiv.org/abs/2003.01337v1

    • [eess.IV]Deep Learning for Musculoskeletal Image Analysis
    Ismail Irmakci, Syed Muhammad Anwar, Drew A. Torigian, Ulas Bagci
    http://arxiv.org/abs/2003.00541v1

    • [eess.IV]Disease Detection from Lung X-ray Images based on Hybrid Deep Learning
    Subrato Bharati, Prajoy Podder
    http://arxiv.org/abs/2003.00682v1

    • [eess.IV]Flashlight CNN Image Denoising
    Pham Huu Thanh Binh, Cristóvão Cruz, Karen Egiazarian
    http://arxiv.org/abs/2003.00762v1

    • [eess.IV]Unlimited Resolution Image Generation with R2D2-GANs
    Marija Jegorova, Antti Ilari Karjalainen, Jose Vazquez, Timothy M. Hospedales
    http://arxiv.org/abs/2003.01063v1

    • [eess.IV]Visualizing intestines for diagnostic assistance of ileus based on intestinal region segmentation from 3D CT images
    Hirohisa Oda, Kohei Nishio, Takayuki Kitasaka, Hizuru Amano, Aitaro Takimoto, Hiroo Uchida, Kojiro Suzuki, Hayato Itoh, Masahiro Oda, Kensaku Mori
    http://arxiv.org/abs/2003.01290v1

    • [eess.SP]Convolutional Sparse Support Estimator Network (CSEN) From energy efficient support estimation to learning-aided Compressive Sensing
    Mehmet Yamac, Mete Ahishali, Serkan Kiranyaz, Moncef Gabbouj
    http://arxiv.org/abs/2003.00768v1

    • [eess.SP]Design and performance analysis of channel estimators under pilot spoofing attacks in multiple-antenna systems
    Donatella Darsena, Giacinto Gelli, Ivan Iudice, Francesco Verde
    http://arxiv.org/abs/2003.01533v1

    • [eess.SP]Design of Convergence-Optimized Non-binary LDPC Codes over Binary Erasure Channel
    Yang Yu, Wen Chen, Lili Wei
    http://arxiv.org/abs/2003.01340v1

    • [eess.SP]Distributed Joint Detection and Estimation: A Sequential Approach
    Dominik Reinhard, Michael Fauß, Abdelhak M. Zoubir
    http://arxiv.org/abs/2003.00501v2

    • [eess.SP]End-to-End Fast Training of Communication Links Without a Channel Model via Online Meta-Learning
    Sangwoo Park, Osvaldo Simeone, Joonhyuk Kang
    http://arxiv.org/abs/2003.01479v1

    • [eess.SP]Few-Shot Relation Learning with Attention for EEG-based Motor Imagery Classification
    Sion An, Soopil Kim, Philip Chikontwe, Sang Hyun Park
    http://arxiv.org/abs/2003.01300v1

    • [eess.SP]On the design of multiple-relay cooperative MIMO networks with partial channel state information
    Donatella Darsena, Giacinto Gelli, Francesco Verde
    http://arxiv.org/abs/2003.01611v1

    • [eess.SP]Robust Joint Source-Relay-Destination Design Under Per-antenna Power Constraints
    Hongying Tang, Wen Chen, Jun Li
    http://arxiv.org/abs/2003.01586v1

    • [eess.SP]Separable MSE-based design of two-way multiple-relay cooperative MIMO networks
    Donatella Darsena, Giacinto Gelli, Ivan Iudice, Francesco Verde
    http://arxiv.org/abs/2003.01534v1

    • [eess.SY]ABC-LMPC: Safe Sample-Based Learning MPC for Stochastic Nonlinear Dynamical Systems with Adjustable Boundary Conditions
    Brijen Thananjeyan, Ashwin Balakrishna, Ugo Rosolia, Joseph E. Gonzalez, Aaron Ames, Ken Goldberg
    http://arxiv.org/abs/2003.01410v1

    • [eess.SY]Formal Controller Synthesis for Continuous-Space MDPs via Model-Free Reinforcement Learning
    Abolfazl Lavaei, Fabio Somenzi, Sadegh Soudjani, Ashutosh Trivedi, Majid Zamani
    http://arxiv.org/abs/2003.00712v1

    • [hep-lat]Towards Novel Insights in Lattice Field Theory with Explainable Machine Learning
    Stefan Bluecher, Lukas Kades, Jan M. Pawlowski, Nils Strodthoff, Julian M. Urban
    http://arxiv.org/abs/2003.01504v1

    • [math.CO]Tropical Support Vector Machine and its Applications to Phylogenomics
    Xiaoxian Tang, Houjie Wang, Ruriko Yoshida
    http://arxiv.org/abs/2003.00677v1

    • [math.OC]Distributed Cooperative Decision Making in Multi-agent Multi-armed Bandits
    Peter Landgren, Vaibhav Srivastava, Naomi Ehrich Leonard
    http://arxiv.org/abs/2003.01312v1

    • [math.OC]Online Sinkhorn: optimal transportation distances from sample streams
    Arthur Mensch, Gabriel Peyré
    http://arxiv.org/abs/2003.01415v1

    • [math.OC]Randomized Primal-Dual Algorithms for Composite Convex Minimization with Faster Convergence Rates
    Quoc Tran-Dinh, Deyi Liu
    http://arxiv.org/abs/2003.01322v1

    • [math.OC]Risk-Averse Learning by Temporal Difference Methods
    Umit Kose, Andrzej Ruszczynski
    http://arxiv.org/abs/2003.00780v1

    • [math.PR]A Fractional Hawkes process
    J. Chen, A. G. Hawkes, E. Scalas
    http://arxiv.org/abs/2003.01027v1

    • [math.PR]A counterexample to the central limit theorem for pairwise independent random variables having a common absolutely continuous arbitrary margin
    Benjamin Avanzi, Guillaume Boglioni Beaulieu, Pierre Lafaye de Micheaux, Bernard Wong
    http://arxiv.org/abs/2003.01350v1

    • [math.ST]Asymptotics for sliding blocks estimators of rare events
    Holger Drees, Sebastian Neblung
    http://arxiv.org/abs/2003.01016v1

    • [math.ST]BigSurvSGD: Big Survival Data Analysis via Stochastic Gradient Descent
    Aliasghar Tarkhan, Noah Simon
    http://arxiv.org/abs/2003.00116v1

    • [math.ST]Most Probable Dynamics of Stochastic Dynamical Systems with Exponentially Light Jump Fluctuations
    Yang Li, Jinqiao Duan, Xianbin Liu, Yanxia Zhang
    http://arxiv.org/abs/2003.00377v1

    • [math.ST]Nonparametric Estimation in the Dynamic Bradley-Terry Model
    Heejong Bong, Wanshan Li, Shamindra Shrotriya, Alessandro Rinaldo
    http://arxiv.org/abs/2003.00083v1

    • [math.ST]On Minimax Exponents of Sparse Testing
    Rajarshi Mukherjee, Subhabrata Sen
    http://arxiv.org/abs/2003.00570v1

    • [math.ST]Overall error analysis for the training of deep neural networks via stochastic gradient descent with random initialisation
    Arnulf Jentzen, Timo Welti
    http://arxiv.org/abs/2003.01291v1

    • [math.ST]Recursive max-linear models with propagating noise
    Johannes Buck, Claudia Klüppelberg
    http://arxiv.org/abs/2003.00362v1

    • [math.ST]Smooths Tests of Goodness-of-fit for the Newcomb-Benford distribution
    G. R. Ducharme, S. Kaci, C. Vovor-Dassu
    http://arxiv.org/abs/2003.00520v1

    • [physics.data-an]The statistical physics of discovering exogenous and endogenous factors in a chain of events
    Shinsuke Koyama, Shigeru Shinomoto
    http://arxiv.org/abs/2003.00659v1

    • [physics.soc-ph]How to choose the most appropriate centrality measure?
    Pavel Chebotarev, Dmitry Gubanov
    http://arxiv.org/abs/2003.01052v1

    • [physics.soc-ph]Will Scale-free Popularity Develop Scale-free Geo-social Networks?
    Dong Liu, Viktoria Fodor, Lars K. Rasmussen
    http://arxiv.org/abs/2003.01489v1

    • [q-bio.NC]Analysis of Gait-Event-related Brain Potentials During Instructed And Spontaneous Treadmill Walking — Technical Affordances and used Methods
    Cornelia Herbert, Jan Nachtsheim, Michael Munz
    http://arxiv.org/abs/2003.00783v1

    • [q-bio.NC]Explainable and Scalable Machine-Learning Algorithms for Detection of Autism Spectrum Disorder using fMRI Data
    Taban Eslami, Joseph S. Raiker, Fahad Saeed
    http://arxiv.org/abs/2003.01541v1

    • [q-bio.NC]Exploring vestibulo-ocular adaptation in a closed-loop neuro-robotic experiment using STDP. A simulation study
    Francisco Naveros, Jesus A. Garrido, Angelo Arleo, Eduardo Ros, Niceto R. Luque
    http://arxiv.org/abs/2003.01445v1

    • [q-bio.NC]Two Routes to Scalable Credit Assignment without Weight Symmetry
    Daniel Kunin, Aran Nayebi, Javier Sagastuy-Brena, Surya Ganguli, Jon Bloom, Daniel L. K. Yamins
    http://arxiv.org/abs/2003.01513v1

    • [q-bio.NC]VOR Adaptation on a Humanoid iCub Robot Using a Spiking Cerebellar Model
    Francisco Naveros, Niceto R. Luque, Eduardo Ros, Angelo Arleo
    http://arxiv.org/abs/2003.01409v1

    • [q-bio.OT]Did Sequence Dependent Geometry Influence the Evolution of the Genetic Code?
    Alex Kasman, Brenton LeMesurier
    http://arxiv.org/abs/2003.01553v1

    • [q-bio.QM]Cell Mechanics Based Computational Classification of Red Blood Cells Via Machine Intelligence Applied to Morpho-Rheological Markers
    Yan Ge, Philipp Rosendahl, Claudio Durán, Nicole Töpfner, Sara Ciucci, Jochen Guck, Carlo Vittorio Cannistraci
    http://arxiv.org/abs/2003.00009v1

    • [quant-ph]Improved Gilbert-Varshamov Bound for Entanglement-Assisted Asymmetric Quantum Error Correction by Symplectic Orthogonality
    Ryutaroh Matsumoto
    http://arxiv.org/abs/2003.00668v1

    • [quant-ph]Robust data encodings for quantum classifiers
    Ryan LaRose, Brian Coyle
    http://arxiv.org/abs/2003.01695v1

    • [stat.AP]A flexible Bayesian framework to estimate age- and cause-specific child mortality over time from sample registration data
    Austin E Schumacher, Tyler H McCormick, Jon Wakefield, Yue Chu, Jamie Perin, Francisco Villavicencio, Noah Simon, Li Liu
    http://arxiv.org/abs/2003.00401v1

    • [stat.AP]Automatically matching topographical measurements of cartridge cases using a record linkage framework
    Xiao Hui Tai, William F. Eddy
    http://arxiv.org/abs/2003.00060v1

    • [stat.AP]Comparison of Persistence Diagrams
    Sarit Agami
    http://arxiv.org/abs/2003.01352v1

    • [stat.AP]Design optimization of stochastic complex systems via iterative density estimation
    Wang-Sheng Liu, Sai Hung Cheung
    http://arxiv.org/abs/2003.00167v1

    • [stat.AP]Estimating the impact of treatment compliance over time on smoking cessation using data from ecological momentary assessments (EMA)
    Yaoyuan Vincent Tan, Donna Coffman, Megan Piper, Jason Roy
    http://arxiv.org/abs/2003.00029v1

    • [stat.AP]Finding archetypal patterns for binary questionnaires
    Ismael Cabero, Irene Epifanio
    http://arxiv.org/abs/2003.00043v1

    • [stat.AP]Long-term Spatial Modeling for Characteristics of Extreme Heat Events
    Erin M. Schliep, Alan E. Gelfand, Jesus Abaurrea, Jesus Asin, Maria A. Beamonte, Ana C. Cebrian
    http://arxiv.org/abs/2003.01168v1

    • [stat.AP]The importance of transparency and reproducibility in artificial intelligence research
    Benjamin Haibe-Kains, George Alexandru Adam, Ahmed Hosny, Farnoosh Khodakarami, MAQC Society Board, Levi Waldron, Bo Wang, Chris McIntosh, Anshul Kundaje, Casey S. Greene, Michael M. Hoffman, Jeffrey T. Leek, Wolfgang Huber, Alvis Brazma, Joelle Pineau, Robert Tibshirani, Trevor Hastie, John P. A. Ioannidis, John Quackenbush, Hugo J. W. L. Aerts
    http://arxiv.org/abs/2003.00898v1

    • [stat.ME]A Functional EM Algorithm for Panel Count Data with Missing Counts
    Alexander Moreno, Zhenke Wu, Jamie Yap, David Wetter, Cho Lam, Inbal Nahum-Shani, Walter Dempsey, James M. Rehg
    http://arxiv.org/abs/2003.01169v1

    • [stat.ME]A Stochastic Covariance Shrinkage Approach in Ensemble Transform Kalman Filtering
    Andrey A. Popov, Adrian Sandu, Elias D. Nino-Ruiz, Geir Evensen
    http://arxiv.org/abs/2003.00354v1

    • [stat.ME]A fast Monte Carlo test for preferential sampling
    Joe Watson
    http://arxiv.org/abs/2003.01319v1

    • [stat.ME]Accurate $p$-Value Calculation for Generalized Fisher’s Combination Tests Under Dependence
    Hong Zhang, Zheyang Wu
    http://arxiv.org/abs/2003.01286v1

    • [stat.ME]Almost-Matching-Exactly for Treatment Effect Estimation under Network Interference
    M. Usaid Awan, Marco Morucci, Vittorio Orlandi, Sudeepa Roy, Cynthia Rudin, Alexander Volfovsky
    http://arxiv.org/abs/2003.00964v1

    • [stat.ME]Detecting multiple change points: a PULSE criterion
    Wenbiao Zhao, Xuehu Zhu, Lixing Zhu
    http://arxiv.org/abs/2003.01280v1

    • [stat.ME]Integrative analysis of randomized clinical trials with real world evidence studies
    Lin Dong, Shu Yang, Xiaofei Wang, Donglin Zeng, Jianwen Cai
    http://arxiv.org/abs/2003.01242v1

    • [stat.ME]Model-based ROC (mROC) curve: examining the effect of case-mix and model calibration on the ROC plot
    Mohsen Sadatsafavi, Paramita Saha-Chaudhuri, John Petkau
    http://arxiv.org/abs/2003.00316v1

    • [stat.ME]Probabilistic performance estimators for computational chemistry methods: Systematic Improvement Probability and Ranking Probability Matrix. I. Theory
    Pascal Pernot, Andreas Savin
    http://arxiv.org/abs/2003.00987v1

    • [stat.ME]Roughness Penalty for liquid Scorecards
    Bruce Hoadley
    http://arxiv.org/abs/2003.00498v1

    • [stat.ME]Score Engineered Logistic Regression
    Bruce Hoadley
    http://arxiv.org/abs/2003.00958v1

    • [stat.ME]Score Engineered Robust Least Squares Regression
    Bruce Hoadley
    http://arxiv.org/abs/2003.01002v1

    • [stat.ME]True and false discoveries with independent e-values
    Vladimir Vovk, Ruodu Wang
    http://arxiv.org/abs/2003.00593v1

    • [stat.ML]A Framework for Interdomain and Multioutput Gaussian Processes
    Mark van der Wilk, Vincent Dutordoir, ST John, Artem Artemev, Vincent Adam, James Hensman
    http://arxiv.org/abs/2003.01115v1

    • [stat.ML]**Analysis via Orthonormal Systems in Reproducing Kernel Hilbert $C^$-Modules and Applications
    Yuka Hashimoto, Isao Ishikawa, Masahiro Ikeda, Fuyuta Komura, Takeshi Katsura, Yoshinobu Kawahara
    http://arxiv.org/abs/2003.00738v1

    • [stat.ML]Approximate Cross-validation: Guarantees for Model Assessment and Selection
    Ashia Wilson, Maximilian Kasy, Lester Mackey
    http://arxiv.org/abs/2003.00617v1

    • [stat.ML]Dimensionality reduction to maximize prediction generalization capability
    Takuya Isomura, Taro Toyoizumi
    http://arxiv.org/abs/2003.00470v1

    • [stat.ML]Estimating Multiple Precision Matrices with Cluster Fusion Regularization
    Bradley S. Price, Aaron J. Molstad, Ben Sherwood
    http://arxiv.org/abs/2003.00371v1

    • [stat.ML]Exactly Computing the Local Lipschitz Constant of ReLU Networks
    Matt Jordan, Alexandros G. Dimakis
    http://arxiv.org/abs/2003.01219v1

    • [stat.ML]Fiedler Regularization: Learning Neural Networks with Graph Sparsity
    Edric Tam, David Dunson
    http://arxiv.org/abs/2003.00992v1

    • [stat.ML]Generating Higher-Fidelity Synthetic Datasets with Privacy Guarantees
    Aleksei Triastcyn, Boi Faltings
    http://arxiv.org/abs/2003.00997v1

    • [stat.ML]Iterate Averaging Helps: An Alternative Perspective in Deep Learning
    Diego Granziol, Xingchen Wan, Stephen Roberts
    http://arxiv.org/abs/2003.01247v1

    • [stat.ML]Nonlinear Functional Output Regression: a Dictionary Approach
    Dimitri Bouche, Marianne Clausel, François Roueff, Florence d’Alché-Buc
    http://arxiv.org/abs/2003.01432v1

    • [stat.ML]On the rate of convergence of image classifiers based on convolutional neural networks
    M. Kohler, A. Krzyzak, B. Walter
    http://arxiv.org/abs/2003.01526v1

    • [stat.ML]Online Hierarchical Forecasting for Power Consumption Data
    Margaux Brégère, Malo Huard
    http://arxiv.org/abs/2003.00585v1

    • [stat.ML]Semiparametric Nonlinear Bipartite Graph Representation Learning with Provable Guarantees
    Sen Na, Yuwei Luo, Zhuoran Yang, Zhaoran Wang, Mladen Kolar
    http://arxiv.org/abs/2003.01013v1

    • [stat.ML]Stable behaviour of infinitely wide deep neural networks
    Stefano Favaro, Sandra Fortini, Stefano Peluchetti
    http://arxiv.org/abs/2003.00394v1

    • [stat.ML]Statistical power for cluster analysis
    E. S. Dalmaijer, C. L. Nord, D. E. Astle
    http://arxiv.org/abs/2003.00381v1

    • [stat.ML]Survival Cluster Analysis
    Paidamoyo Chapfuwa, Chunyuan Li, Nikhil Mehta, Lawrence Carin, Ricardo Henao
    http://arxiv.org/abs/2003.00355v1

    • [stat.ML]The estimation error of general first order methods
    Michael Celentano, Andrea Montanari, Yuchen Wu
    http://arxiv.org/abs/2002.12903v2

    • [stat.ML]Theoretical Understanding of Batch-normalization: A Markov Chain Perspective
    Hadi Daneshmand, Jonas Kohler, Francis Bach, Thomas Hofmann, Aurelien Lucchi
    http://arxiv.org/abs/2003.01652v1

    • [stat.ML]Why is the Mahalanobis Distance Effective for Anomaly Detection?
    Ryo Kamoi, Kei Kobayashi
    http://arxiv.org/abs/2003.00402v1