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