astro-ph.SR - 太阳和天体物理学恒星 cs.AI - 人工智能 cs.CL - 计算与语言 cs.CR - 加密与安全 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DC - 分布式、并行与集群计算 cs.DS - 数据结构与算法 cs.FL - 形式语言与自动机理论 cs.GR - 计算机图形学 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.MS - 数学软件 cs.NE - 神经与进化计算 cs.NI - 网络和互联网体系结构 cs.RO - 机器人学 cs.SI - 社交网络与信息网络 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SP - 信号处理 eess.SY - 系统和控制 math.AT - 代数拓扑 math.OC - 优化与控制 math.ST - 统计理论 physics.comp-ph - 计算物理学 physics.ins-det - 仪器和探测器 physics.med-ph - 医学物理学 physics.soc-ph - 物理学与社会 stat.AP - 应用统计 stat.ME - 统计方法论

    stat.ML - (统计)机器学习

    • [astro-ph.SR]Cycle-StarNet: Bridging the gap between theory and data by leveraging large datasets
    • [astro-ph.SR]Interpreting Stellar Spectra with Unsupervised Domain Adaptation
    • [cs.AI]An Entropy Equation for Energy
    • [cs.AI]Constraint-Based Learning for Continuous-Time Bayesian Networks
    • [cs.AI]Deep Reinforcement Learning with Interactive Feedback in a Human-Robot Environment
    • [cs.AI]Exploring Heterogeneous Information Networks via Pre-Training
    • [cs.AI]Expressiveness of SETAFs and Support-Free ADFs under 3-valued Semantics
    • [cs.AI]Guided Exploration with Proximal Policy Optimization using a Single Demonstration
    • [cs.AI]Kidney Exchange with Inhomogeneous Edge Existence Uncertainty
    • [cs.AI]Learning to learn generative programs with Memoised Wake-Sleep
    • [cs.AI]Natural Emergence of Heterogeneous Strategies in Artificially Intelligent Competitive Teams
    • [cs.AI]Resolving Head-On Conflicts for Multi-Agent Path Finding with Conflict-Based Search
    • [cs.AI]Using Semantic Web Services for AI-Based Research in Industry 4.0
    • [cs.CL]An Emergency Medical Services Clinical Audit System driven by Named Entity Recognition from Deep Learning
    • [cs.CL]Announcing CzEng 2.0 Parallel Corpus with over 2 Gigawords
    • [cs.CL]Continual BERT: Continual Learning for Adaptive Extractive Summarization of COVID-19 Literature
    • [cs.CL]Reflection-based Word Attribute Transfer
    • [cs.CL]Research on Annotation Rules and Recognition Algorithm Based on Phrase Window
    • [cs.CL]The Go Transformer: Natural Language Modeling for Game Play
    • [cs.CL]What Gives the Answer Away? Question Answering Bias Analysis on Video QA Datasets
    • [cs.CL]scb-mt-en-th-2020: A Large English-Thai Parallel Corpus
    • [cs.CR]On the Efficiency of Decentralized File Storage for Personal Information Management Systems
    • [cs.CR]WLCG Authorisation from X.509 to Tokens
    • [cs.CV]AnchorFace: An Anchor-based Facial Landmark Detector Across Large Poses
    • [cs.CV]Are spoofs from latent fingerprints a real threat for the best state-of-art liveness detectors?
    • [cs.CV]AutoAssign: Differentiable Label Assignment for Dense Object Detection
    • [cs.CV]C2G-Net: Exploiting Morphological Properties for Image Classification
    • [cs.CV]Calibrated BatchNorm: Improving Robustness Against Noisy Weights in Neural Networks
    • [cs.CV]Can GAN Generated Morphs Threaten Face Recognition Systems Equally as Landmark Based Morphs? — Vulnerability and Detection
    • [cs.CV]DAM: Deliberation, Abandon and Memory Networks for Generating Detailed and Non-repetitive Responses in Visual Dialogue
    • [cs.CV]Decoupled Spatial-Temporal Attention Network for Skeleton-Based Action Recognition
    • [cs.CV]Deep Learning for Apple Diseases: Classification and Identification
    • [cs.CV]Determination of the most representative descriptor among a set of feature vectors for the same object
    • [cs.CV]Discretization-Aware Architecture Search
    • [cs.CV]Distance-Geometric Graph Convolutional Network (DG-GCN)
    • [cs.CV]Diverse and Styled Image Captioning Using SVD-Based Mixture of Recurrent Experts
    • [cs.CV]Extracting the fundamental diagram from aerial footage
    • [cs.CV]GOLD-NAS: Gradual, One-Level, Differentiable
    • [cs.CV]Generative Model-Based Loss to the Rescue: A Method to Overcome Annotation Errors for Depth-Based Hand Pose Estimation
    • [cs.CV]HKR For Handwritten Kazakh & Russian Database
    • [cs.CV]Hierarchical nucleation in deep neural networks
    • [cs.CV]Human Trajectory Forecasting in Crowds: A Deep Learning Perspective
    • [cs.CV]LabelEnc: A New Intermediate Supervision Method for Object Detection
    • [cs.CV]Labeling of Multilingual Breast MRI Reports
    • [cs.CV]Learning Embeddings for Image Clustering: An Empirical Study of Triplet Loss Approaches
    • [cs.CV]Learning Model-Blind Temporal Denoisers without Ground Truths
    • [cs.CV]Learning and Reasoning with the Graph Structure Representation in Robotic Surgery
    • [cs.CV]Learning to Count in the Crowd from Limited Labeled Data
    • [cs.CV]Learning to Generate Novel Domains for Domain Generalization
    • [cs.CV]Learning to Segment Anatomical Structures Accurately from One Exemplar
    • [cs.CV]Location Sensitive Image Retrieval and Tagging
    • [cs.CV]Long-term Human Motion Prediction with Scene Context
    • [cs.CV]Meta Corrupted Pixels Mining for Medical Image Segmentation
    • [cs.CV]Non-image Data Classification with Convolutional Neural Networks
    • [cs.CV]RGBT Salient Object Detection: A Large-scale Dataset and Benchmark
    • [cs.CV]Re-thinking Co-Salient Object Detection
    • [cs.CV]ReMOTS: Refining Multi-Object Tracking and Segmentation
    • [cs.CV]SaADB: A Self-attention Guided ADB Network for Person Re-identification
    • [cs.CV]Scribble-based Domain Adaptation via Co-segmentation
    • [cs.CV]Self domain adapted network
    • [cs.CV]Semi-Supervised Crowd Counting via Self-Training on Surrogate Tasks
    • [cs.CV]Single Shot Video Object Detector
    • [cs.CV]Single Storage Semi-Global Matching for Real Time Depth Processing
    • [cs.CV]Spatial Semantic Embedding Network: Fast 3D Instance Segmentation with Deep Metric Learning
    • [cs.CV]Spectral Graph-based Features for Recognition of Handwritten Characters: A Case Study on Handwritten Devanagari Numerals
    • [cs.CV]SpinalNet: Deep Neural Network with Gradual Input
    • [cs.CV]Text Recognition — Real World Data and Where to Find Them
    • [cs.CV]VPN: Learning Video-Pose Embedding for Activities of Daily Living
    • [cs.CV]Wasserstein Distances for Stereo Disparity Estimation
    • [cs.CY]Carbontracker: Tracking and Predicting the Carbon Footprint of Training Deep Learning Models
    • [cs.CY]Children’s health in the digital age
    • [cs.CY]Incorrect Data in the Widely Used Inside Airbnb Dataset
    • [cs.CY]Mathematical Foundations for Social Computing
    • [cs.CY]PAN IIT Survey on Online Education: A Report
    • [cs.CY]Participation is not a Design Fix for Machine Learning
    • [cs.CY]Promoting Strategic Research on Inclusive Access to Rich Online Content and Services
    • [cs.CY]RCModel, a Risk Chain Model for Risk Reduction in AI Services
    • [cs.CY]regvis.net — A Visual Bibliography of Regulatory Visualization
    • [cs.DC]A Survey of State-of-the-Art on Blockchains: Theories, Modelings, and Tools
    • [cs.DC]Analytics of Longitudinal System Monitoring Data for Performance Prediction
    • [cs.DC]Coded Computing for Federated Learning at the Edge
    • [cs.DC]Constant-Time Lazy Snapshots Supporting General Queries on Concurrent Data Structures
    • [cs.DC]GE-SpMM: General-purpose Sparse Matrix-Matrix Multiplication on GPUs for Graph Neural Networks
    • [cs.DC]Probably Approximately Knowing
    • [cs.DC]Sapphire: Automatic Configuration Recommendation for Distributed Storage Systems
    • [cs.DC]Third-party transfers in WLCG using HTTP
    • [cs.DS]Streaming Complexity of SVMs
    • [cs.FL]A Classification of Weak Asynchronous Models of Distributed Computing
    • [cs.FL]Proving Non-Inclusion of Büchi Automata based on Monte Carlo Sampling
    • [cs.GR]Guided Fine-Tuning for Large-Scale Material Transfer
    • [cs.IR]An Evaluation of Publicly Available Deep Learning Based Commercial Information Retrieval Systems to search Biomedical Articles related to COVID-19
    • [cs.IR]Hier-SPCNet: A Legal Statute Hierarchy-based Heterogeneous Network for Computing Legal Case Document Similarity
    • [cs.IR]MAMO: Memory-Augmented Meta-Optimization for Cold-start Recommendation
    • [cs.IR]Predicting Afrobeats Hit Songs Using Spotify Data
    • [cs.IT]Confounding Ghost Channels and Causality: A New Approach to Causal Information Flows
    • [cs.IT]Intelligent Reflecting Surface Aided Wireless Communications: A Tutorial
    • [cs.IT]Nonlinear Transform Coding
    • [cs.IT]Optimal Strategies for Graph-Structured Bandits
    • [cs.IT]Performance Analysis of Dual-Hop Underwater Wireless Optical Communication Systems over Mixture Exponential-Generalized Gamma Turbulence Channels
    • [cs.IT]Total Variation Distance Based Performance Analysis of Covert Communication over AWGN Channels in Non-asymptotic Regime
    • [cs.LG]3D Topology Transformation with Generative Adversarial Networks
    • [cs.LG]A Federated F-score Based Ensemble Model for Automatic Rule Extraction
    • [cs.LG]ARC-Net: Activity Recognition Through Capsules
    • [cs.LG]ASGN: An Active Semi-supervised Graph Neural Network for Molecular Property Prediction
    • [cs.LG]Adaptive Cascade Submodular Maximization
    • [cs.LG]Are Ensemble Classifiers Powerful Enough for the Detection and Diagnosis of Intermediate-Severity Faults?
    • [cs.LG]Auto-CASH: Autonomous Classification Algorithm Selection with Deep Q-Network
    • [cs.LG]Backdoor attacks and defenses in feature-partitioned collaborative learning
    • [cs.LG]Benefiting Deep Latent Variable Models via Learning the Prior and Removing Latent Regularization
    • [cs.LG]Bidirectional Loss Function for Label Enhancement and Distribution Learning
    • [cs.LG]Cognitive Radio Network Throughput Maximization with Deep Reinforcement Learning
    • [cs.LG]Continual Learning in Human Activity Recognition: an Empirical Analysis of Regularization
    • [cs.LG]Curriculum learning for multilevel budgeted combinatorial problems
    • [cs.LG]Deep Contextual Embeddings for Address Classification in E-commerce
    • [cs.LG]Deep Partial Updating
    • [cs.LG]Divide-and-Shuffle Synchronization for Distributed Machine Learning
    • [cs.LG]Do Transformers Need Deep Long-Range Memory
    • [cs.LG]Dual Mixup Regularized Learning for Adversarial Domain Adaptation
    • [cs.LG]Dynamic Regret of Convex and Smooth Functions
    • [cs.LG]Dynamic memory to alleviate catastrophic forgetting in continuous learning settings
    • [cs.LG]Efficient Learning of Generative Models via Finite-Difference Score Matching
    • [cs.LG]Enabling On-Device CNN Training by Self-Supervised Instance Filtering and Error Map Pruning
    • [cs.LG]Estimating Generalization under Distribution Shifts via Domain-Invariant Representations
    • [cs.LG]Examining COVID-19 Forecasting using Spatio-Temporal Graph Neural Networks
    • [cs.LG]Gradient Descent Converges to Ridgelet Spectrum
    • [cs.LG]GraphOpt: Learning Optimization Models of Graph Formation
    • [cs.LG]Hierarchical and Unsupervised Graph Representation Learning with Loukas’s Coarsening
    • [cs.LG]Imitation Learning Approach for AI Driving Olympics Trained on Real-world and Simulation Data Simultaneously
    • [cs.LG]Inverse Reinforcement Learning for Sequential Hypothesis Testing and Search
    • [cs.LG]Learning Branching Heuristics for Propositional Model Counting
    • [cs.LG]Learning Combined Set Covering and Traveling Salesman Problem
    • [cs.LG]Lossless CNN Channel Pruning via Gradient Resetting and Convolutional Re-parameterization
    • [cs.LG]Machine Learning with the Sugeno Integral: The Case of Binary Classification
    • [cs.LG]Meta-Learning with Network Pruning
    • [cs.LG]Metric-Guided Prototype Learning
    • [cs.LG]Multi-Armed Bandits with Local Differential Privacy
    • [cs.LG]Multi-Fidelity Bayesian Optimization via Deep Neural Networks
    • [cs.LG]Near-tight closure bounds for Littlestone and threshold dimensions
    • [cs.LG]Network Embedding with Completely-imbalanced Labels
    • [cs.LG]Neural Subgraph Matching
    • [cs.LG]Off-Policy Evaluation via the Regularized Lagrangian
    • [cs.LG]One-Bit Compressed Sensing via One-Shot Hard Thresholding
    • [cs.LG]PinnerSage: Multi-Modal User Embedding Framework for Recommendations at Pinterest
    • [cs.LG]Policy learning with partial observation and mechanical constraints for multi-person modeling
    • [cs.LG]Predictive Maintenance for Edge-Based Sensor Networks: A Deep Reinforcement Learning Approach
    • [cs.LG]Provably Safe PAC-MDP Exploration Using Analogies
    • [cs.LG]RGCF: Refined Graph Convolution Collaborative Filtering with concise and expressive embedding
    • [cs.LG]RIFLE: Backpropagation in Depth for Deep Transfer Learning through Re-Initializing the Fully-connected LayEr
    • [cs.LG]Regional Image Perturbation Reduces $Lp$ Norms of Adversarial Examples While Maintaining Model-to-model Transferability
    • [cs.LG]Relaxed Conformal Prediction Cascades for Efficient Inference Over Many Labels
    • [cs.LG]Robust Learning with Frequency Domain Regularization
    • [cs.LG]Robust Structured Statistical Estimation via Conditional Gradient Type Methods
    • [cs.LG]See, Hear, Explore: Curiosity via Audio-Visual Association
    • [cs.LG]Self-organizing Democratized Learning: Towards Large-scale Distributed Learning Systems
    • [cs.LG]Sharing Models or Coresets: A Study based on Membership Inference Attack
    • [cs.LG]Single Shot MC Dropout Approximation
    • [cs.LG]Soft Labeling Affects Out-of-Distribution Detection of Deep Neural Networks
    • [cs.LG]Strong Generalization and Efficiency in Neural Programs
    • [cs.LG]Structured (De)composable Representations Trained with Neural Networks
    • [cs.LG]Superiority of Simplicity: A Lightweight Model for Network Device Workload Prediction
    • [cs.LG]The LoCA Regret: A Consistent Metric to Evaluate Model-Based Behavior in Reinforcement Learning
    • [cs.LG]The Sample Complexity of Best-$k$ Items Selection from Pairwise Comparisons
    • [cs.MS]A Task-based Multi-shift QR/QZ Algorithm with Aggressive Early Deflation
    • [cs.NE]Benchmarking in Optimization: Best Practice and Open Issues
    • [cs.NE]Fast Perturbative Algorithm Configurators
    • [cs.NE]Multivariate Time Series Classification Using Spiking Neural Networks
    • [cs.NE]Physics-Based Deep Neural Networks for Beam Dynamics in Charged Particle Accelerators
    • [cs.NI]CrossCount: A Deep Learning System for Device-free Human Counting using WiFi
    • [cs.RO]A Real-Time Receding Horizon Sequence Planner for Disassembly in A Human-Robot Collaboration Setting
    • [cs.RO]Artistic Style in Robotic Painting; a Machine Learning Approach to Learning Brushstroke from Human Artists
    • [cs.RO]CMPCC: Corridor-based Model Predictive Contouring Control for Aggressive Drone Flight
    • [cs.RO]Coverage of an Environment Using Energy-Constrained Unmanned Aerial Vehicles
    • [cs.RO]Monitoring Robotic Systems using CSP: From Safety Designs to Safety Monitors
    • [cs.RO]Optical Navigation in Unstructured Dynamic Railroad Environments
    • [cs.RO]RAPTOR: Robust and Perception-aware Trajectory Replanning for Quadrotor Fast Flight
    • [cs.RO]Safety Controller Synthesis for Collaborative Robots
    • [cs.SI]Characterization and comparison of large directed graphs through the spectra of the magnetic Laplacian
    • [cs.SI]Community detection and Social Network analysis based on the Italian wars of the 15th century
    • [cs.SI]Cultural Convergence: Insights into the behavior of misinformation networks on Twitter
    • [cs.SI]Graph Neural Networks with Continual Learning for Fake News Detection from Social Media
    • [cs.SI]Prioritized Restreaming Algorithms for Balanced Graph Partitioning
    • [eess.AS]Massively Multilingual ASR: 50 Languages, 1 Model, 1 Billion Parameters
    • [eess.AS]Multi-Tones’ Phase Coding (MTPC) of Interaural Time Difference by Spiking Neural Network
    • [eess.IV]A Vision-based Social Distance and Critical Density Detection System for COVID-19
    • [eess.IV]Automatic Ischemic Stroke Lesion Segmentation from Computed Tomography Perfusion Images by Image Synthesis and Attention-Based Deep Neural Networks
    • [eess.IV]Automatic lesion detection, segmentation and characterization via 3D multiscale morphological sifting in breast MRI
    • [eess.IV]Benefitting from Bicubically Down-Sampled Images for Learning Real-World Image Super-Resolution
    • [eess.IV]Divide-and-Rule: Self-Supervised Learning for Survival Analysis in Colorectal Cancer
    • [eess.IV]High-speed Millimeter-wave 5G/6G Image Transmission via Artificial Intelligence
    • [eess.IV]Instance Segmentation for Whole Slide Imaging: End-to-End or Detect-Then-Segment
    • [eess.IV]Light Field Image Super-Resolution Using Deformable Convolution
    • [eess.IV]Multi-image Super Resolution of Remotely Sensed Images using Residual Feature Attention Deep Neural Networks
    • [eess.IV]Segmentation of Pulmonary Opacification in Chest CT Scans of COVID-19 Patients
    • [eess.IV]Unsupervised CT Metal Artifact Learning using Attention-guided beta-CycleGAN
    • [eess.SP]Demo: iJam with Channel Randomization
    • [eess.SP]Monitoring Browsing Behavior of Customers in Retail Stores via RFID Imaging
    • [eess.SP]Online Topology Inference from Streaming Stationary Graph Signals with Partial Connectivity Information
    • [eess.SY]Automated Formal Synthesis of Neural Barrier Certificates for Dynamical Models
    • [eess.SY]Consensus Multi-Agent Reinforcement Learning for Volt-VAR Control in Power Distribution Networks
    • [eess.SY]Remote Estimation in Decentralized Random Access Channels
    • [math.AT]A Topological Approach to Inferring the Intrinsic Dimension of Convex Sensing Data
    • [math.OC]A Distributed Cubic-Regularized Newton Method for Smooth Convex Optimization over Networks
    • [math.OC]An Accelerated DFO Algorithm for Finite-sum Convex Functions
    • [math.OC]An Integer Programming Approach to Deep Neural Networks with Binary Activation Functions
    • [math.OC]Asymptotic behaviour of learning rates in Armijo’s condition
    • [math.OC]Fictitious Play for Mean Field Games: Continuous Time Analysis and Applications
    • [math.OC]Quantifying the asymptotic linear convergence speed of Anderson Acceleration applied to ADMM
    • [math.OC]Understanding the Impact of Model Incoherence on Convergence of Incremental SGD with Random Reshuffle
    • [math.ST]A Natural Discrete One Parameter Polynomial Exponential Distribution
    • [math.ST]Estimation and Inference with Trees and Forests in High Dimensions
    • [math.ST]Information-theoretic convergence of extreme values to the Gumbel distribution
    • [physics.comp-ph]FleCSPH: The Next Generation FleCSIble Parallel Computational Infrastructure for Smoothed Particle Hydrodynamics
    • [physics.comp-ph]On the Efficient Evaluation of the Exchange Correlation Potential on Graphics Processing Unit Clusters
    • [physics.comp-ph]Parallel Algorithms for Successive Convolution
    • [physics.comp-ph]Predicting Porosity, Permeability, and Tortuosity of Porous Media from Images by Deep Learning
    • [physics.comp-ph]Robust Technique for Representative Volume Element Identification in Noisy Microtomography Images of Porous Materials Based on Pores Morphology and Their Spatial Distribution
    • [physics.ins-det]Scalable, Proposal-free Instance Segmentation Network for 3D Pixel Clustering and Particle Trajectory Reconstruction in Liquid Argon Time Projection Chambers
    • [physics.med-ph]X-ray Photon-Counting Data Correction through Deep Learning
    • [physics.soc-ph]COVID-19 and Income Profile: How People in Different Income Groups Responded to Disease Outbreak, Case Study of the United States
    • [physics.soc-ph]Microsimulation Analysis for Network Traffic Assignment (MANTA) at Metropolitan-Scale for Agile Transportation Planning
    • [stat.AP]Cost-sensitive Multi-class AdaBoost for Understanding Driving Behavior with Telematics
    • [stat.AP]Forecasting Australian subnational age-specific mortality rates
    • [stat.AP]Theoretical and Practical Limits of Kolmogorov-Zurbenko Periodograms with DiRienzo-Zurbenko Algorithm Smoothing in the Spectral Analysis of Time Series Data
    • [stat.ME]Estimating Extreme Value Index by Subsampling for Massive Datasets with Heavy-Tailed Distributions
    • [stat.ME]Innovative And Additive Outlier Robust Kalman Filtering With A Robust Particle Filter
    • [stat.ME]Longitudinal mediation analysis of time-to-event endpoints in the presence of competing risks
    • [stat.ME]Multiple Imputation with Massive Data: an Application to the Panel Study of Income Dynamics
    • [stat.ME]Prediction Regions for Poisson and Over-Dispersed Poisson Regression Models with Applications to Forecasting Number of Deaths during the COVID-19 Pandemic
    • [stat.ME]The ordering of future observations from multiple groups
    • [stat.ME]qgam: Bayesian non-parametric quantile regression modelling in R
    • [stat.ML]Causal Feature Selection via Orthogonal Search
    • [stat.ML]Doubly infinite residual networks: a diffusion process approach
    • [stat.ML]Kernel Stein Generative Modeling
    • [stat.ML]Manifold Learning via Manifold Deflation
    • [stat.ML]Stochastic Linear Bandits Robust to Adversarial Attacks
    • [stat.ML]srMO-BO-3GP: A sequential regularized multi-objective constrained Bayesian optimization for design applications
    ·····································
    • [astro-ph.SR]Cycle-StarNet: Bridging the gap between theory and data by leveraging large datasets
    _Teaghan O’Briain, Yuan-Sen Ting, Sébastien Fabbro, Kwang M. Yi, Kim Venn, Spencer Bialek
    http://arxiv.org/abs/2007.03109v1
    • [astro-ph.SR]Interpreting Stellar Spectra with Unsupervised Domain Adaptation
    Teaghan O’Briain, Yuan-Sen Ting, Sébastien Fabbro, Kwang M. Yi, Kim Venn, Spencer Bialek
    http://arxiv.org/abs/2007.03112v1
    • [cs.AI]An Entropy Equation for Energy
    Kieran Greer
    http://arxiv.org/abs/2007.03286v1
    • [cs.AI]Constraint-Based Learning for Continuous-Time Bayesian Networks
    Alessandro Bregoli, Marco Scutari, Fabio Stella
    http://arxiv.org/abs/2007.03248v1
    • [cs.AI]Deep Reinforcement Learning with Interactive Feedback in a Human-Robot Environment
    Ithan Moreira, Javier Rivas, Francisco Cruz, Richard Dazeley, Angel Ayala, Bruno Fernandes
    http://arxiv.org/abs/2007.03363v1
    • [cs.AI]Exploring Heterogeneous Information Networks via Pre-Training
    Yang Fang, Xiang Zhao, Weidong Xiao
    http://arxiv.org/abs/2007.03184v1
    • [cs.AI]Expressiveness of SETAFs and Support-Free ADFs under 3-valued Semantics
    Wolfgang Dvořák, Atefeh Keshavarzi Zafarghandi, Stefan Woltran
    http://arxiv.org/abs/2007.03581v1
    • [cs.AI]Guided Exploration with Proximal Policy Optimization using a Single Demonstration
    Gabriele Libardi, Gianni De Fabritiis
    http://arxiv.org/abs/2007.03328v1
    • [cs.AI]Kidney Exchange with Inhomogeneous Edge Existence Uncertainty
    Hoda Bidkhori, John P Dickerson, Duncan C McElfresh, Ke Ren
    http://arxiv.org/abs/2007.03191v1
    • [cs.AI]Learning to learn generative programs with Memoised Wake-Sleep
    Luke B. Hewitt, Tuan Anh Le, Joshua B. Tenenbaum
    http://arxiv.org/abs/2007.03132v1
    • [cs.AI]Natural Emergence of Heterogeneous Strategies in Artificially Intelligent Competitive Teams
    Ankur Deka, Katia Sycara
    http://arxiv.org/abs/2007.03102v1
    • [cs.AI]Resolving Head-On Conflicts for Multi-Agent Path Finding with Conflict-Based Search
    Lun Yang
    http://arxiv.org/abs/2007.03575v1
    • [cs.AI]Using Semantic Web Services for AI-Based Research in Industry 4.0
    Lukas Malburg, Patrick Klein, Ralph Bergmann
    http://arxiv.org/abs/2007.03580v1
    • [cs.CL]An Emergency Medical Services Clinical Audit System driven by Named Entity Recognition from Deep Learning
    Wang Han, Wesley Yeung, Angeline Tung, Joey Tay Ai Meng, Davin Ryanputera, Feng Mengling, Shalini Arulanadam
    http://arxiv.org/abs/2007.03596v1
    • [cs.CL]Announcing CzEng 2.0 Parallel Corpus with over 2 Gigawords
    Tom Kocmi, Martin Popel, Ondrej Bojar
    http://arxiv.org/abs/2007.03006v1
    • [cs.CL]Continual BERT: Continual Learning for Adaptive Extractive Summarization of COVID-19 Literature
    Jong Won Park
    http://arxiv.org/abs/2007.03405v1
    • [cs.CL]Reflection-based Word Attribute Transfer
    Yoichi Ishibashi, Katsuhito Sudoh, Koichiro Yoshino, Satoshi Nakamura
    http://arxiv.org/abs/2007.02598v2
    • [cs.CL]Research on Annotation Rules and Recognition Algorithm Based on Phrase Window
    Guang Liu, Gang Tu, Zheng Li, Yi-Jian Liu
    http://arxiv.org/abs/2007.03140v1
    • [cs.CL]The Go Transformer: Natural Language Modeling for Game Play
    David Noever, Matthew Ciolino, Josh Kalin
    http://arxiv.org/abs/2007.03500v1
    • [cs.CL]What Gives the Answer Away? Question Answering Bias Analysis on Video QA Datasets
    Jianing Yang, Yuying Zhu, Yongxin Wang, Ruitao Yi, Amir Zadeh, Louis-Philippe Morency
    http://arxiv.org/abs/2007.03626v1
    • [cs.CL]scb-mt-en-th-2020: A Large English-Thai Parallel Corpus
    Lalita Lowphansirikul, Charin Polpanumas, Attapol T. Rutherford, Sarana Nutanong
    http://arxiv.org/abs/2007.03541v1
    • [cs.CR]On the Efficiency of Decentralized File Storage for Personal Information Management Systems
    Mirko Zichichi, Stefano Ferretti, Gabriele D’Angelo
    http://arxiv.org/abs/2007.03505v1
    • [cs.CR]WLCG Authorisation from X.509 to Tokens
    Brian Bockelman, Andrea Ceccanti, Ian Collier, Linda Cornwall, Thomas Dack, Jaroslav Guenther, Mario Lassnig, Maarten Litmaath, Paul Millar, Mischa Sallé, Hannah Short, Jeny Teheran, Romain Wartel
    http://arxiv.org/abs/2007.03602v1
    • [cs.CV]AnchorFace: An Anchor-based Facial Landmark Detector Across Large Poses
    Zixuan Xu, Banghuai Li, Miao Geng, Ye Yuan, Gang Yu
    http://arxiv.org/abs/2007.03221v1
    • [cs.CV]Are spoofs from latent fingerprints a real threat for the best state-of-art liveness detectors?
    Roberto Casula, Giulia Orrù, Daniele Angioni, Xiaoyi Feng, Gian Luca Marcialis, Fabio Roli
    http://arxiv.org/abs/2007.03397v1
    • [cs.CV]AutoAssign: Differentiable Label Assignment for Dense Object Detection
    Benjin Zhu, Jianfeng Wang, Zhengkai Jiang, Fuhang Zong, Songtao Liu, Zeming Li, Jian Sun
    http://arxiv.org/abs/2007.03496v1
    • [cs.CV]C2G-Net: Exploiting Morphological Properties for Image Classification
    Laurin Herbsthofer, Barbara Prietl, Martina Tomberger, Thomas Pieber, Pablo López-García
    http://arxiv.org/abs/2007.03378v1
    • [cs.CV]Calibrated BatchNorm: Improving Robustness Against Noisy Weights in Neural Networks
    Li-Huang Tsai, Shih-Chieh Chang, Yu-Ting Chen, Jia-Yu Pan, Wei Wei, Da-Cheng Juan
    http://arxiv.org/abs/2007.03230v1
    • [cs.CV]Can GAN Generated Morphs Threaten Face Recognition Systems Equally as Landmark Based Morphs? — Vulnerability and Detection
    Sushma Venkatesh, Haoyu Zhang, Raghavendra Ramachandra, Kiran Raja, Naser Damer, Christoph Busch
    http://arxiv.org/abs/2007.03621v1
    • [cs.CV]DAM: Deliberation, Abandon and Memory Networks for Generating Detailed and Non-repetitive Responses in Visual Dialogue
    Xiaoze Jiang, Jing Yu, Yajing Sun, Zengchang Qin, Zihao Zhu, Yue Hu, Qi Wu
    http://arxiv.org/abs/2007.03310v1
    • [cs.CV]Decoupled Spatial-Temporal Attention Network for Skeleton-Based Action Recognition
    Lei Shi, Yifan Zhang, Jian Cheng, Hanqing Lu
    http://arxiv.org/abs/2007.03263v1
    • [cs.CV]Deep Learning for Apple Diseases: Classification and Identification
    Asif Iqbal Khan, SMK Quadri, Saba Banday
    http://arxiv.org/abs/2007.02980v1
    • [cs.CV]Determination of the most representative descriptor among a set of feature vectors for the same object
    Dmitry Pozdnyakov
    http://arxiv.org/abs/2007.03021v1
    • [cs.CV]Discretization-Aware Architecture Search
    Yunjie Tian, Chang Liu, Lingxi Xie, Jianbin Jiao, Qixiang Ye
    http://arxiv.org/abs/2007.03154v1
    • [cs.CV]Distance-Geometric Graph Convolutional Network (DG-GCN)
    Daniel T. Chang
    http://arxiv.org/abs/2007.03513v1
    • [cs.CV]Diverse and Styled Image Captioning Using SVD-Based Mixture of Recurrent Experts
    Marzieh Heidari, Mehdi Ghatee, Ahmad Nickabadi, Arash Pourhasan Nezhad
    http://arxiv.org/abs/2007.03338v1
    • [cs.CV]Extracting the fundamental diagram from aerial footage
    Rafael Makrigiorgis, Panayiotis Kolios, Stelios Timotheou, Theocharis Theocharides, Christos G. Panayiotou
    http://arxiv.org/abs/2007.03227v1
    • [cs.CV]GOLD-NAS: Gradual, One-Level, Differentiable
    Kaifeng Bi, Lingxi Xie, Xin Chen, Longhui Wei, Qi Tian
    http://arxiv.org/abs/2007.03331v1
    • [cs.CV]Generative Model-Based Loss to the Rescue: A Method to Overcome Annotation Errors for Depth-Based Hand Pose Estimation
    Jiayi Wang, Franziska Mueller, Florian Bernard, Christian Theobalt
    http://arxiv.org/abs/2007.03073v1
    • [cs.CV]HKR For Handwritten Kazakh & Russian Database
    Daniyar Nurseitov, Kairat Bostanbekov, Daniyar Kurmankhojayev, Anel Alimova, Abdelrahman Abdallah
    http://arxiv.org/abs/2007.03579v1
    • [cs.CV]Hierarchical nucleation in deep neural networks
    Diego Doimo, Aldo Glielmo, Alessandro Laio, Alessio Ansuini
    http://arxiv.org/abs/2007.03506v1
    • [cs.CV]Human Trajectory Forecasting in Crowds: A Deep Learning Perspective
    Parth Kothari, Sven Kreiss, Alexandre Alahi
    http://arxiv.org/abs/2007.03639v1
    • [cs.CV]LabelEnc: A New Intermediate Supervision Method for Object Detection
    Miao Hao, Yitao Liu, Xiangyu Zhang, Jian Sun
    http://arxiv.org/abs/2007.03282v1
    • [cs.CV]Labeling of Multilingual Breast MRI Reports
    Chen-Han Tsai, Nahum Kiryati, Eli Konen, Miri Sklair-Levy, Arnaldo Mayer
    http://arxiv.org/abs/2007.03028v1
    • [cs.CV]Learning Embeddings for Image Clustering: An Empirical Study of Triplet Loss Approaches
    Kalun Ho, Janis Keuper, Franz-Josef Pfreundt, Margret Keuper
    http://arxiv.org/abs/2007.03123v1
    • [cs.CV]Learning Model-Blind Temporal Denoisers without Ground Truths
    Bichuan Guo, Jiangtao Wen, Zhen Xia, Shan Liu, Yuxing Han
    http://arxiv.org/abs/2007.03241v1
    • [cs.CV]Learning and Reasoning with the Graph Structure Representation in Robotic Surgery
    Mobarakol Islam, Lalithkumar Seenivasan, Lim Chwee Ming, Hongliang Ren
    http://arxiv.org/abs/2007.03357v1
    • [cs.CV]Learning to Count in the Crowd from Limited Labeled Data
    Vishwanath A. Sindagi, Rajeev Yasarla, Deepak Sam Babu, R. Venkatesh Babu, Vishal M. Patel
    http://arxiv.org/abs/2007.03195v1
    • [cs.CV]Learning to Generate Novel Domains for Domain Generalization
    Kaiyang Zhou, Yongxin Yang, Timothy Hospedales, Tao Xiang
    http://arxiv.org/abs/2007.03304v1
    • [cs.CV]Learning to Segment Anatomical Structures Accurately from One Exemplar
    Yuhang Lu, Kang Zheng, Weijian Li, Yirui Wang, Adam P. Harrison, Chihung Lin, Song Wang, Jing Xiao, Le Lu, Chang-Fu Kuo, Shun Miao
    http://arxiv.org/abs/2007.03052v1
    • [cs.CV]Location Sensitive Image Retrieval and Tagging
    Raul Gomez, Jaume Gibert, Lluis Gomez, Dimosthenis Karatzas
    http://arxiv.org/abs/2007.03375v1
    • [cs.CV]Long-term Human Motion Prediction with Scene Context
    Zhe Cao, Hang Gao, Karttikeya Mangalam, Qi-Zhi Cai, Minh Vo, Jitendra Malik
    http://arxiv.org/abs/2007.03672v1
    • [cs.CV]Meta Corrupted Pixels Mining for Medical Image Segmentation
    Jixin Wang, Sanping Zhou, Chaowei Fang, Le Wang, Jinjun Wang
    http://arxiv.org/abs/2007.03538v1
    • [cs.CV]Non-image Data Classification with Convolutional Neural Networks
    Anuraganand Sharma, Dinesh Kumar
    http://arxiv.org/abs/2007.03218v1
    • [cs.CV]RGBT Salient Object Detection: A Large-scale Dataset and Benchmark
    Zhengzheng Tu, Yan Ma, Zhun Li, Chenglong Li, Jieming Xu, Yongtao Liu
    http://arxiv.org/abs/2007.03262v1
    • [cs.CV]Re-thinking Co-Salient Object Detection
    Fan Deng-Ping, Li Tengpeng, Lin Zheng, Ji Ge-Peng, Zhang Dingwen, Cheng Ming-Ming, Fu Huazhu, Shen Jianbing
    http://arxiv.org/abs/2007.03380v1
    • [cs.CV]ReMOTS: Refining Multi-Object Tracking and Segmentation
    Fan Yang, Xin Chang, Chenyu Dang, Ziqiang Zheng, Sakriani Sakti, Satoshi Nakamura, Yang Wu
    http://arxiv.org/abs/2007.03200v1
    • [cs.CV]SaADB: A Self-attention Guided ADB Network for Person Re-identification
    Bo Jiang, Sheng Wang, Xiao Wang, Aihua Zheng
    http://arxiv.org/abs/2007.03584v1
    • [cs.CV]Scribble-based Domain Adaptation via Co-segmentation
    Reuben Dorent, Samuel Joutard, Jonathan Shapey, Sotirios Bisdas, Neil Kitchen, Robert Bradford, Shakeel Saeed, Marc Modat, Sebastien Ourselin, Tom Vercauteren
    http://arxiv.org/abs/2007.03632v1
    • [cs.CV]Self domain adapted network
    Yufan He, Aaron Carass, Lianrui Zuo, Blake E. Dewey, Jerry L. Prince
    http://arxiv.org/abs/2007.03162v1
    • [cs.CV]Semi-Supervised Crowd Counting via Self-Training on Surrogate Tasks
    Yan Liu, Lingqiao Liu, Peng Wang, Pingping Zhang, Yinjie Lei
    http://arxiv.org/abs/2007.03207v1
    • [cs.CV]Single Shot Video Object Detector
    Jiajun Deng, Yingwei Pan, Ting Yao, Wengang Zhou, Houqiang Li, Tao Mei
    http://arxiv.org/abs/2007.03560v1
    • [cs.CV]Single Storage Semi-Global Matching for Real Time Depth Processing
    Prathmesh Sawant, Yashwant Temburu, Mandar Datar, Imran Ahmed, Vinayak Shriniwas, Sachin Patkar
    http://arxiv.org/abs/2007.03269v1
    • [cs.CV]Spatial Semantic Embedding Network: Fast 3D Instance Segmentation with Deep Metric Learning
    Dongsu Zhang, Junha Chun, Sang Kyun Cha, Young Min Kim
    http://arxiv.org/abs/2007.03169v1
    • [cs.CV]Spectral Graph-based Features for Recognition of Handwritten Characters: A Case Study on Handwritten Devanagari Numerals
    Mohammad Idrees Bhat, B. Sharada
    http://arxiv.org/abs/2007.03281v1
    • [cs.CV]SpinalNet: Deep Neural Network with Gradual Input
    H M Dipu Kabir, Moloud Abdar, Seyed Mohammad Jafar Jalali, Abbas Khosravi, Amir F Atiya, Saeid Nahavandi, Dipti Srinivasan
    http://arxiv.org/abs/2007.03347v1
    • [cs.CV]Text Recognition — Real World Data and Where to Find Them
    Klára Janoušková, Jiri Matas, Lluis Gomez, Dimosthenis Karatzas
    http://arxiv.org/abs/2007.03098v1
    • [cs.CV]VPN: Learning Video-Pose Embedding for Activities of Daily Living
    Srijan Das, Saurav Sharma, Rui Dai, Francois Bremond, Monique Thonnat
    http://arxiv.org/abs/2007.03056v1
    • [cs.CV]Wasserstein Distances for Stereo Disparity Estimation
    Divyansh Garg, Yan Wang, Bharath Hariharan, Mark Campbell, Kilian Q. Weinberger, Wei-Lun Chao
    http://arxiv.org/abs/2007.03085v1
    • [cs.CY]Carbontracker: Tracking and Predicting the Carbon Footprint of Training Deep Learning Models
    Lasse F. Wolff Anthony, Benjamin Kanding, Raghavendra Selvan
    http://arxiv.org/abs/2007.03051v1
    • [cs.CY]Children’s health in the digital age
    Birgitta Dresp-Langley
    http://arxiv.org/abs/2007.03447v1
    • [cs.CY]Incorrect Data in the Widely Used Inside Airbnb Dataset
    Abdulkareem Alsudais
    http://arxiv.org/abs/2007.03019v1
    • [cs.CY]Mathematical Foundations for Social Computing
    Yiling Chen, Arpita Ghosh, Michael Kearns, Tim Roughgarden, Jennifer Wortman Vaughan
    http://arxiv.org/abs/2007.03661v1
    • [cs.CY]PAN IIT Survey on Online Education: A Report
    Pan IIT Group
    http://arxiv.org/abs/2007.03613v1
    • [cs.CY]Participation is not a Design Fix for Machine Learning
    Mona Sloane, Emanuel Moss, Olaitan Awomolo, Laura Forlano
    http://arxiv.org/abs/2007.02423v2
    • [cs.CY]Promoting Strategic Research on Inclusive Access to Rich Online Content and Services
    Shaun Kane, Richard Ladner, Clayton Lewis
    http://arxiv.org/abs/2007.03659v1
    • [cs.CY]RCModel, a Risk Chain Model for Risk Reduction in AI Services
    Takashi Matsumoto, Arisa Ema
    http://arxiv.org/abs/2007.03215v1
    • [cs.CY]regvis.net — A Visual Bibliography of Regulatory Visualization
    Zhibin Niu, Runlin Li, Junqi Wu, Yaqi Xue, Jiawan Zhang
    http://arxiv.org/abs/2007.03573v1
    • [cs.DC]A Survey of State-of-the-Art on Blockchains: Theories, Modelings, and Tools
    Huawei Huang, Wei Kong, Sicong Zhou, Zibin Zheng, Song Guo
    http://arxiv.org/abs/2007.03520v1
    • [cs.DC]Analytics of Longitudinal System Monitoring Data for Performance Prediction
    Ian J. Costello, Abhinav Bhatele
    http://arxiv.org/abs/2007.03451v1
    • [cs.DC]Coded Computing for Federated Learning at the Edge
    Saurav Prakash, Sagar Dhakal, Mustafa Akdeniz, A. Salman Avestimehr, Nageen Himayat
    http://arxiv.org/abs/2007.03273v1
    • [cs.DC]Constant-Time Lazy Snapshots Supporting General Queries on Concurrent Data Structures
    Naama Ben-David, Guy E. Blelloch, Panagiota Fatourou, Eric Ruppert, Yihan Sun, Yuanhao Wei
    http://arxiv.org/abs/2007.02372v2
    • [cs.DC]GE-SpMM: General-purpose Sparse Matrix-Matrix Multiplication on GPUs for Graph Neural Networks
    Guyue Huang, Guohao Dai, Yu Wang, Huazhong Yang
    http://arxiv.org/abs/2007.03179v1
    • [cs.DC]Probably Approximately Knowing
    Nitzan Zamir, Yoram Moses
    http://arxiv.org/abs/2007.02984v1
    • [cs.DC]Sapphire: Automatic Configuration Recommendation for Distributed Storage Systems
    Wenhao Lyu, Youyou Lu, Jiwu Shu, Wei Zhao
    http://arxiv.org/abs/2007.03220v1
    • [cs.DC]Third-party transfers in WLCG using HTTP
    Brian Bockelman, Andrea Ceccanti, Fabrizio Furano, Paul Millar, Dmitry Litvintsev, Alessandra Forti
    http://arxiv.org/abs/2007.03490v1
    • [cs.DS]Streaming Complexity of SVMs
    Alexandr Andoni, Collin Burns, Yi Li, Sepideh Mahabadi, David P. Woodruff
    http://arxiv.org/abs/2007.03633v1
    • [cs.FL]A Classification of Weak Asynchronous Models of Distributed Computing
    Javier Esparza, Fabian Reiter
    http://arxiv.org/abs/2007.03291v1
    • [cs.FL]Proving Non-Inclusion of Büchi Automata based on Monte Carlo Sampling
    Yong Li, Andrea Turrini, Xuechao Sun, Lijun Zhang
    http://arxiv.org/abs/2007.02282v2
    • [cs.GR]Guided Fine-Tuning for Large-Scale Material Transfer
    Valentin Deschaintre, George Drettakis, Adrien Bousseau
    http://arxiv.org/abs/2007.03059v1
    • [cs.IR]An Evaluation of Publicly Available Deep Learning Based Commercial Information Retrieval Systems to search Biomedical Articles related to COVID-19
    Sarvesh Soni, Kirk Roberts
    http://arxiv.org/abs/2007.03106v1
    • [cs.IR]Hier-SPCNet: A Legal Statute Hierarchy-based Heterogeneous Network for Computing Legal Case Document Similarity
    Paheli Bhattacharya, Kripabandhu Ghosh, Arindam Pal, Saptarshi Ghosh
    http://arxiv.org/abs/2007.03225v1
    • [cs.IR]MAMO: Memory-Augmented Meta-Optimization for Cold-start Recommendation
    Manqing Dong, Feng Yuan, Lina Yao, Xiwei Xu, Liming Zhu
    http://arxiv.org/abs/2007.03183v1
    • [cs.IR]Predicting Afrobeats Hit Songs Using Spotify Data
    Adewale Adeagbo
    http://arxiv.org/abs/2007.03137v1
    • [cs.IT]Confounding Ghost Channels and Causality: A New Approach to Causal Information Flows
    Nihat Ay
    http://arxiv.org/abs/2007.03129v1
    • [cs.IT]Intelligent Reflecting Surface Aided Wireless Communications: A Tutorial
    Qingqing Wu, Shuowen Zhang, Beixiong Zheng, Changsheng You, Rui Zhang
    http://arxiv.org/abs/2007.02759v2
    • [cs.IT]Nonlinear Transform Coding
    Johannes Ballé, Philip A. Chou, David Minnen, Saurabh Singh, Nick Johnston, Eirikur Agustsson, Sung Jin Hwang, George Toderici
    http://arxiv.org/abs/2007.03034v1
    • [cs.IT]Optimal Strategies for Graph-Structured Bandits
    Hassan Saber, Pierre Ménard, Odalric-Ambrym Maillard
    http://arxiv.org/abs/2007.03224v1
    • [cs.IT]Performance Analysis of Dual-Hop Underwater Wireless Optical Communication Systems over Mixture Exponential-Generalized Gamma Turbulence Channels
    Emna Zedini, Abla Kammoun, Hamza Soury, Mounir Hamdi, Mohamed-Slim Alouini
    http://arxiv.org/abs/2007.03461v1
    • [cs.IT]Total Variation Distance Based Performance Analysis of Covert Communication over AWGN Channels in Non-asymptotic Regime
    Xinchun Yu, Shuangqin Wei, Yuan Luo
    http://arxiv.org/abs/2007.03456v1
    • [cs.LG]3D Topology Transformation with Generative Adversarial Networks
    Luca Stornaiuolo, Nima Dehmamy, Albert-László Barabási, Mauro Martino
    http://arxiv.org/abs/2007.03532v1
    • [cs.LG]A Federated F-score Based Ensemble Model for Automatic Rule Extraction
    Kun Li, Fanglan Zheng, Jiang Tian, Xiaojia Xiang
    http://arxiv.org/abs/2007.03533v1
    • [cs.LG]ARC-Net: Activity Recognition Through Capsules
    Hamed Damirchi, Rooholla Khorrambakht, Hamid Taghirad
    http://arxiv.org/abs/2007.03063v1
    • [cs.LG]ASGN: An Active Semi-supervised Graph Neural Network for Molecular Property Prediction
    Zhongkai Hao, Chengqiang Lu, Zheyuan Hu, Hao Wang, Zhenya Huang, Qi Liu, Enhong Chen, Cheekong Lee
    http://arxiv.org/abs/2007.03196v1
    • [cs.LG]Adaptive Cascade Submodular Maximization
    Shaojie Tang, Jing Yuan
    http://arxiv.org/abs/2007.03592v1
    • [cs.LG]Are Ensemble Classifiers Powerful Enough for the Detection and Diagnosis of Intermediate-Severity Faults?
    Baihong Jin, Yingshui Tan, Yuxin Chen, Kameshwar Poolla, Kameshwar Poolla
    http://arxiv.org/abs/2007.03167v1
    • [cs.LG]Auto-CASH: Autonomous Classification Algorithm Selection with Deep Q-Network
    Tianyu Mu, Hongzhi Wang, Chunnan Wang, Zheng Liang
    http://arxiv.org/abs/2007.03254v1
    • [cs.LG]Backdoor attacks and defenses in feature-partitioned collaborative learning
    Yang Liu, Zhihao Yi, Tianjian Chen
    http://arxiv.org/abs/2007.03608v1
    • [cs.LG]Benefiting Deep Latent Variable Models via Learning the Prior and Removing Latent Regularization
    Rogan Morrow, Wei-Chen Chiu
    http://arxiv.org/abs/2007.03640v1
    • [cs.LG]Bidirectional Loss Function for Label Enhancement and Distribution Learning
    Xinyuan Liu, Jihua Zhu, Qinghai Zheng, Zhongyu Li, Ruixin Liu, Jun Wang
    http://arxiv.org/abs/2007.03181v1
    • [cs.LG]Cognitive Radio Network Throughput Maximization with Deep Reinforcement Learning
    Kevin Shen Hoong Ong, Yang Zhang, Dusit Niyato
    http://arxiv.org/abs/2007.03165v1
    • [cs.LG]Continual Learning in Human Activity Recognition: an Empirical Analysis of Regularization
    Saurav Jha, Martin Schiemer, Juan Ye
    http://arxiv.org/abs/2007.03032v1
    • [cs.LG]Curriculum learning for multilevel budgeted combinatorial problems
    Adel Nabli, Margarida Carvalho
    http://arxiv.org/abs/2007.03151v1
    • [cs.LG]Deep Contextual Embeddings for Address Classification in E-commerce
    Shreyas Mangalgi, Lakshya Kumar, Ravindra Babu Tallamraju
    http://arxiv.org/abs/2007.03020v1
    • [cs.LG]Deep Partial Updating
    Zhongnan Qu, Cong Liu, Junfeng Guo, Lothar Thiele
    http://arxiv.org/abs/2007.03071v1
    • [cs.LG]Divide-and-Shuffle Synchronization for Distributed Machine Learning
    Weiyan Wang, Cengguang Zhang, Liu Yang, Jiacheng Xia, Kai Chen, Kun Tan
    http://arxiv.org/abs/2007.03298v1
    • [cs.LG]Do Transformers Need Deep Long-Range Memory
    Jack W. Rae, Ali Razavi
    http://arxiv.org/abs/2007.03356v1
    • [cs.LG]Dual Mixup Regularized Learning for Adversarial Domain Adaptation
    Yuan Wu, Diana Inkpen, Ahmed El-Roby
    http://arxiv.org/abs/2007.03141v1
    • [cs.LG]Dynamic Regret of Convex and Smooth Functions
    Peng Zhao, Yu-Jie Zhang, Lijun Zhang, Zhi-Hua Zhou
    http://arxiv.org/abs/2007.03479v1
    • [cs.LG]Dynamic memory to alleviate catastrophic forgetting in continuous learning settings
    Johannes Hofmanninger, Matthias Perkonigg, James A. Brink, Oleg Pianykh, Christian Herold, Georg Langs
    http://arxiv.org/abs/2007.02639v2
    • [cs.LG]Efficient Learning of Generative Models via Finite-Difference Score Matching
    Tianyu Pang, Kun Xu, Chongxuan Li, Yang Song, Stefano Ermon, Jun Zhu
    http://arxiv.org/abs/2007.03317v1
    • [cs.LG]Enabling On-Device CNN Training by Self-Supervised Instance Filtering and Error Map Pruning
    Yawen Wu, Zhepeng Wang, Yiyu Shi, Jingtong Hu
    http://arxiv.org/abs/2007.03213v1
    • [cs.LG]Estimating Generalization under Distribution Shifts via Domain-Invariant Representations
    Ching-Yao Chuang, Antonio Torralba, Stefanie Jegelka
    http://arxiv.org/abs/2007.03511v1
    • [cs.LG]Examining COVID-19 Forecasting using Spatio-Temporal Graph Neural Networks
    Amol Kapoor, Xue Ben, Luyang Liu, Bryan Perozzi, Matt Barnes, Martin Blais, Shawn O’Banion
    http://arxiv.org/abs/2007.03113v1
    • [cs.LG]Gradient Descent Converges to Ridgelet Spectrum
    Sho Sonoda, Isao Ishikawa, Masahiro Ikeda
    http://arxiv.org/abs/2007.03441v1
    • [cs.LG]GraphOpt: Learning Optimization Models of Graph Formation
    Rakshit Trivedi, Jiachen Yang, Hongyuan Zha
    http://arxiv.org/abs/2007.03619v1
    • [cs.LG]Hierarchical and Unsupervised Graph Representation Learning with Loukas’s Coarsening
    Louis Béthune, Yacouba Kaloga, Pierre Borgnat, Aurélien Garivier, Amaury Habrard
    http://arxiv.org/abs/2007.03373v1
    • [cs.LG]Imitation Learning Approach for AI Driving Olympics Trained on Real-world and Simulation Data Simultaneously
    Mikita Sazanovich, Konstantin Chaika, Kirill Krinkin, Aleksei Shpilman
    http://arxiv.org/abs/2007.03514v1
    • [cs.LG]Inverse Reinforcement Learning for Sequential Hypothesis Testing and Search
    Kunal Pattanayak, Vikram Krishnamurthy
    http://arxiv.org/abs/2007.03481v1
    • [cs.LG]Learning Branching Heuristics for Propositional Model Counting
    Pashootan Vaezipoor, Gil Lederman, Yuhuai Wu, Chris J. Maddison, Roger Grosse, Edward Lee, Sanjit A. Seshia, Fahiem Bacchus
    http://arxiv.org/abs/2007.03204v1
    • [cs.LG]Learning Combined Set Covering and Traveling Salesman Problem
    Yuwen Yang, Jayant Rajgopal
    http://arxiv.org/abs/2007.03203v1
    • [cs.LG]Lossless CNN Channel Pruning via Gradient Resetting and Convolutional Re-parameterization
    Xiaohan Ding, Tianxiang Hao, Ji Liu, Jungong Han, Yuchen Guo, Guiguang Ding
    http://arxiv.org/abs/2007.03260v1
    • [cs.LG]Machine Learning with the Sugeno Integral: The Case of Binary Classification
    Sadegh Abbaszadeh, Eyke Hüllermeier
    http://arxiv.org/abs/2007.03046v1
    • [cs.LG]Meta-Learning with Network Pruning
    Hongduan Tian, Bo Liu, Xiao-Tong Yuan, Qingshan Liu
    http://arxiv.org/abs/2007.03219v1
    • [cs.LG]Metric-Guided Prototype Learning
    Vivien Sainte Fare Garnot, Loic Landrieu
    http://arxiv.org/abs/2007.03047v1
    • [cs.LG]Multi-Armed Bandits with Local Differential Privacy
    Wenbo Ren, Xingyu Zhou, Jia Liu, Ness B. Shroff
    http://arxiv.org/abs/2007.03121v1
    • [cs.LG]Multi-Fidelity Bayesian Optimization via Deep Neural Networks
    Shibo Li, Wei Xing, Mike Kirby, Shandian Zhe
    http://arxiv.org/abs/2007.03117v1
    • [cs.LG]Near-tight closure bounds for Littlestone and threshold dimensions
    Badih Ghazi, Noah Golowich, Ravi Kumar, Pasin Manurangsi
    http://arxiv.org/abs/2007.03668v1
    • [cs.LG]Network Embedding with Completely-imbalanced Labels
    Zheng Wang, Xiaojun Ye, Chaokun Wang, Jian Cui, Philip S. Yu
    http://arxiv.org/abs/2007.03545v1
    • [cs.LG]Neural Subgraph Matching
    Rex, Ying, Zhaoyu Lou, Jiaxuan You, Chengtao Wen, Arquimedes Canedo, Jure Leskovec
    http://arxiv.org/abs/2007.03092v1
    • [cs.LG]Off-Policy Evaluation via the Regularized Lagrangian
    Mengjiao Yang, Ofir Nachum, Bo Dai, Lihong Li, Dale Schuurmans
    http://arxiv.org/abs/2007.03438v1
    • [cs.LG]One-Bit Compressed Sensing via One-Shot Hard Thresholding
    Jie Shen
    http://arxiv.org/abs/2007.03641v1
    • [cs.LG]PinnerSage: Multi-Modal User Embedding Framework for Recommendations at Pinterest
    Aditya Pal, Chantat Eksombatchai, Yitong Zhou, Bo Zhao, Charles Rosenberg, Jure Leskovec
    http://arxiv.org/abs/2007.03634v1
    • [cs.LG]Policy learning with partial observation and mechanical constraints for multi-person modeling
    Keisuke Fujii, Naoya Takeishi, Yoshinobu Kawahara, Kazuya Takeda
    http://arxiv.org/abs/2007.03155v1
    • [cs.LG]Predictive Maintenance for Edge-Based Sensor Networks: A Deep Reinforcement Learning Approach
    Kevin Shen Hoong Ong, Dusit Niyato, Chau Yuen
    http://arxiv.org/abs/2007.03313v1
    • [cs.LG]Provably Safe PAC-MDP Exploration Using Analogies
    Melrose Roderick, Vaishnavh Nagarajan, J. Zico Kolter
    http://arxiv.org/abs/2007.03574v1
    • [cs.LG]RGCF: Refined Graph Convolution Collaborative Filtering with concise and expressive embedding
    Kang Liu, Feng Xue, Richang Hong
    http://arxiv.org/abs/2007.03383v1
    • [cs.LG]RIFLE: Backpropagation in Depth for Deep Transfer Learning through Re-Initializing the Fully-connected LayEr
    Xingjian Li, Haoyi Xiong, Haozhe An, Chengzhong Xu, Dejing Dou
    http://arxiv.org/abs/2007.03349v1
    • [cs.LG]Regional Image Perturbation Reduces $L_p$ Norms of Adversarial Examples While Maintaining Model-to-model Transferability
    Utku Ozbulak, Jonathan Peck, Wesley De Neve, Bart Goossens, Yvan Saeys, Arnout Van Messem
    http://arxiv.org/abs/2007.03198v1
    • [cs.LG]Relaxed Conformal Prediction Cascades for Efficient Inference Over Many Labels
    Adam Fisch, Tal Schuster, Tommi Jaakkola, Regina Barzilay
    http://arxiv.org/abs/2007.03114v1
    • [cs.LG]Robust Learning with Frequency Domain Regularization
    Weiyu Guo, Yidong Ouyang
    http://arxiv.org/abs/2007.03244v1
    • [cs.LG]Robust Structured Statistical Estimation via Conditional Gradient Type Methods
    Jiacheng Zhuo, Liu Liu, Constantine Caramanis
    http://arxiv.org/abs/2007.03572v1
    • [cs.LG]See, Hear, Explore: Curiosity via Audio-Visual Association
    Victoria Dean, Shubham Tulsiani, Abhinav Gupta
    http://arxiv.org/abs/2007.03669v1
    • [cs.LG]Self-organizing Democratized Learning: Towards Large-scale Distributed Learning Systems
    Minh N. H. Nguyen, Shashi Raj Pandey, Tri Nguyen Dang, Eui-Nam Huh, Choong Seon Hong, Nguyen H. Tran, Walid Saad
    http://arxiv.org/abs/2007.03278v1
    • [cs.LG]Sharing Models or Coresets: A Study based on Membership Inference Attack
    Hanlin Lu, Changchang Liu, Ting He, Shiqiang Wang, Kevin S. Chan
    http://arxiv.org/abs/2007.02977v1
    • [cs.LG]Single Shot MC Dropout Approximation
    Kai Brach, Beate Sick, Oliver Dürr
    http://arxiv.org/abs/2007.03293v1
    • [cs.LG]Soft Labeling Affects Out-of-Distribution Detection of Deep Neural Networks
    Doyup Lee, Yeongjae Cheon
    http://arxiv.org/abs/2007.03212v1
    • [cs.LG]Strong Generalization and Efficiency in Neural Programs
    Yujia Li, Felix Gimeno, Pushmeet Kohli, Oriol Vinyals
    http://arxiv.org/abs/2007.03629v1
    • [cs.LG]Structured (De)composable Representations Trained with Neural Networks
    Graham Spinks, Marie-Francine Moens
    http://arxiv.org/abs/2007.03325v1
    • [cs.LG]Superiority of Simplicity: A Lightweight Model for Network Device Workload Prediction
    Alexander Acker, Thorsten Wittkopp, Sasho Nedelkoski, Jasmin Bogatinovski, Odej Kao
    http://arxiv.org/abs/2007.03568v1
    • [cs.LG]The LoCA Regret: A Consistent Metric to Evaluate Model-Based Behavior in Reinforcement Learning
    Harm van Seijen, Hadi Nekoei, Evan Racah, Sarath Chandar
    http://arxiv.org/abs/2007.03158v1
    • [cs.LG]The Sample Complexity of Best-$k$ Items Selection from Pairwise Comparisons
    Wenbo Ren, Jia Liu, Ness B. Shroff
    http://arxiv.org/abs/2007.03133v1
    • [cs.MS]A Task-based Multi-shift QR/QZ Algorithm with Aggressive Early Deflation
    Mirko Myllykoski
    http://arxiv.org/abs/2007.03576v1
    • [cs.NE]Benchmarking in Optimization: Best Practice and Open Issues
    Thomas Bartz-Beielstein, Carola Doerr, Jakob Bossek, Sowmya Chandrasekaran, Tome Eftimov, Andreas Fischbach, Pascal Kerschke, Manuel Lopez-Ibanez, Katherine M. Malan, Jason H. Moore, Boris Naujoks, Patryk Orzechowski, Vanessa Volz, Markus Wagner, Thomas Weise
    http://arxiv.org/abs/2007.03488v1
    • [cs.NE]Fast Perturbative Algorithm Configurators
    George T. Hall, Pietro Simone Oliveto, Dirk Sudholt
    http://arxiv.org/abs/2007.03336v1
    • [cs.NE]Multivariate Time Series Classification Using Spiking Neural Networks
    Haowen Fang, Amar Shrestha, Qinru Qiu
    http://arxiv.org/abs/2007.03547v1
    • [cs.NE]Physics-Based Deep Neural Networks for Beam Dynamics in Charged Particle Accelerators
    Andrei Ivanov, Ilya Agapov
    http://arxiv.org/abs/2007.03555v1
    • [cs.NI]CrossCount: A Deep Learning System for Device-free Human Counting using WiFi
    Osama T. Ibrahim, Walid Gomaa, Moustafa Youssef
    http://arxiv.org/abs/2007.03175v1
    • [cs.RO]A Real-Time Receding Horizon Sequence Planner for Disassembly in A Human-Robot Collaboration Setting
    Meng-Lun Lee, Sara Behdad, Xiao Liang, Minghui Zheng
    http://arxiv.org/abs/2007.02981v1
    • [cs.RO]Artistic Style in Robotic Painting; a Machine Learning Approach to Learning Brushstroke from Human Artists
    Ardavan Bidgoli, Manuel Ladron De Guevara, Cinnie Hsiung, Jean Oh, Eunsu Kang
    http://arxiv.org/abs/2007.03647v1
    • [cs.RO]CMPCC: Corridor-based Model Predictive Contouring Control for Aggressive Drone Flight
    Jialin Ji, Xin Zhou, Chao Xu, Fei Gao
    http://arxiv.org/abs/2007.03271v1
    • [cs.RO]Coverage of an Environment Using Energy-Constrained Unmanned Aerial Vehicles
    Kevin Yu, Jason M. O’Kane, Pratap Tokekar
    http://arxiv.org/abs/2007.03501v1
    • [cs.RO]Monitoring Robotic Systems using CSP: From Safety Designs to Safety Monitors
    Matt Luckcuck
    http://arxiv.org/abs/2007.03522v1
    • [cs.RO]Optical Navigation in Unstructured Dynamic Railroad Environments
    Darius Burschka, Christian Robl, Sebastian Ohrendorf-Weiss
    http://arxiv.org/abs/2007.03409v1
    • [cs.RO]RAPTOR: Robust and Perception-aware Trajectory Replanning for Quadrotor Fast Flight
    Boyu Zhou, Jie Pan, Fei Gao, Shaojie Shen
    http://arxiv.org/abs/2007.03465v1
    • [cs.RO]Safety Controller Synthesis for Collaborative Robots
    Mario Gleirscher, Radu Calinescu
    http://arxiv.org/abs/2007.03340v1
    • [cs.SI]Characterization and comparison of large directed graphs through the spectra of the magnetic Laplacian
    Bruno Messias F. de Resende, Luciano da F. Costa
    http://arxiv.org/abs/2007.03466v1
    • [cs.SI]Community detection and Social Network analysis based on the Italian wars of the 15th century
    J. Fumanal-Idocin, A. Alonso-Betanzos, O. Cordón, H. Bustince, M. Minárová
    http://arxiv.org/abs/2007.02641v2
    • [cs.SI]Cultural Convergence: Insights into the behavior of misinformation networks on Twitter
    Liz McQuillan, Erin McAweeney, Alicia Bargar, Alex Ruch
    http://arxiv.org/abs/2007.03443v1
    • [cs.SI]Graph Neural Networks with Continual Learning for Fake News Detection from Social Media
    Yi Han, Shanika Karunasekera, Christopher Leckie
    http://arxiv.org/abs/2007.03316v1
    • [cs.SI]Prioritized Restreaming Algorithms for Balanced Graph Partitioning
    Amel Awadelkarim, Johan Ugander
    http://arxiv.org/abs/2007.03131v1
    • [eess.AS]Massively Multilingual ASR: 50 Languages, 1 Model, 1 Billion Parameters
    Vineel Pratap, Anuroop Sriram, Paden Tomasello, Awni Hannun, Vitaliy Liptchinsky, Gabriel Synnaeve, Ronan Collobert
    http://arxiv.org/abs/2007.03001v1
    • [eess.AS]Multi-Tones’ Phase Coding (MTPC) of Interaural Time Difference by Spiking Neural Network
    Zihan Pan, Malu Zhang, Jibin Wu, Haizhou Li
    http://arxiv.org/abs/2007.03274v1
    • [eess.IV]A Vision-based Social Distance and Critical Density Detection System for COVID-19
    Dongfang Yang, Ekim Yurtsever, Vishnu Renganathan, Keith A. Redmill, Ümit Özgüner
    http://arxiv.org/abs/2007.03578v1
    • [eess.IV]Automatic Ischemic Stroke Lesion Segmentation from Computed Tomography Perfusion Images by Image Synthesis and Attention-Based Deep Neural Networks
    Guotai Wang, Tao Song, Qiang Dong, Mei Cui, Ning Huang, Shaoting Zhang
    http://arxiv.org/abs/2007.03294v1
    • [eess.IV]Automatic lesion detection, segmentation and characterization via 3D multiscale morphological sifting in breast MRI
    Hang Min, Darryl McClymont, Shekhar S. Chandra, Stuart Crozier, Andrew P. Bradley
    http://arxiv.org/abs/2007.03199v1
    • [eess.IV]Benefitting from Bicubically Down-Sampled Images for Learning Real-World Image Super-Resolution
    Mohammad Saeed Rad, Thomas Yu, Claudiu Musat, Hazim Kemal Ekenel, Behzad Bozorgtabar, Jean-Philippe Thiran
    http://arxiv.org/abs/2007.03053v1
    • [eess.IV]Divide-and-Rule: Self-Supervised Learning for Survival Analysis in Colorectal Cancer
    Christian Abbet, Inti Zlobec, Behzad Bozorgtabar, Jean-Philippe Thiran
    http://arxiv.org/abs/2007.03292v1
    • [eess.IV]High-speed Millimeter-wave 5G/6G Image Transmission via Artificial Intelligence
    Shaolin Liao, Lu Ou
    http://arxiv.org/abs/2007.03153v1
    • [eess.IV]Instance Segmentation for Whole Slide Imaging: End-to-End or Detect-Then-Segment
    Aadarsh Jha, Haichun Yang, Ruining Deng, Meghan E. Kapp, Agnes B. Fogo, Yuankai Huo
    http://arxiv.org/abs/2007.03593v1
    • [eess.IV]Light Field Image Super-Resolution Using Deformable Convolution
    Yingqian Wang, Jungang Yang, Longguang Wang, Xinyi Ying, Tianhao Wu, Wei An, Yulan Guo
    http://arxiv.org/abs/2007.03535v1
    • [eess.IV]Multi-image Super Resolution of Remotely Sensed Images using Residual Feature Attention Deep Neural Networks
    Francesco Salvetti, Vittorio Mazzia, Aleem Khaliq, Marcello Chiaberge
    http://arxiv.org/abs/2007.03107v1
    • [eess.IV]Segmentation of Pulmonary Opacification in Chest CT Scans of COVID-19 Patients
    Keegan Lensink, Issam Laradji, Marco Law, Paolo Emilio Barbano, Savvas Nicolaou. William Parker, Eldad Haber
    http://arxiv.org/abs/2007.03643v1
    • [eess.IV]Unsupervised CT Metal Artifact Learning using Attention-guided beta-CycleGAN
    Junghyun Lee, Jawook Gu, Jong Chul Ye
    http://arxiv.org/abs/2007.03480v1
    • [eess.SP]Demo: iJam with Channel Randomization
    Jordan L. Melcher, Yao Zheng, Dylan Anthony, Matthew Troglia, Yanjun Pan, Ming Li, Thomas Yang, Alvin Yang, Samson Aggelopoulos
    http://arxiv.org/abs/2007.03201v1
    • [eess.SP]Monitoring Browsing Behavior of Customers in Retail Stores via RFID Imaging
    Kamran Ali, Alex X. Liu, Eugene Chai, Karthik Sundaresan
    http://arxiv.org/abs/2007.03600v1
    • [eess.SP]Online Topology Inference from Streaming Stationary Graph Signals with Partial Connectivity Information
    Rasoul Shafipour, Gonzalo Mateos
    http://arxiv.org/abs/2007.03653v1
    • [eess.SY]Automated Formal Synthesis of Neural Barrier Certificates for Dynamical Models
    Andrea Peruffo, Daniele Ahmed, Alessandro Abate
    http://arxiv.org/abs/2007.03251v1
    • [eess.SY]Consensus Multi-Agent Reinforcement Learning for Volt-VAR Control in Power Distribution Networks
    Yuanqi Gao, Wei Wang, Nanpeng Yu
    http://arxiv.org/abs/2007.02991v1
    • [eess.SY]Remote Estimation in Decentralized Random Access Channels
    Xingran Chen, Xinyu Liao, Shirin Saeedi Bidokhti
    http://arxiv.org/abs/2007.03652v1
    • [math.AT]A Topological Approach to Inferring the Intrinsic Dimension of Convex Sensing Data
    Min-Chun Wu, Vladimir Itskov
    http://arxiv.org/abs/2007.03208v1
    • [math.OC]A Distributed Cubic-Regularized Newton Method for Smooth Convex Optimization over Networks
    César A. Uribe, Ali Jadbabaie
    http://arxiv.org/abs/2007.03562v1
    • [math.OC]An Accelerated DFO Algorithm for Finite-sum Convex Functions
    Yuwen Chen, Antonio Orvieto, Aurelien Lucchi
    http://arxiv.org/abs/2007.03311v1
    • [math.OC]An Integer Programming Approach to Deep Neural Networks with Binary Activation Functions
    Bubacarr Bah, Jannis Kurtz
    http://arxiv.org/abs/2007.03326v1
    • [math.OC]Asymptotic behaviour of learning rates in Armijo’s condition
    Tuyen Trung Truong, Tuan Hang Nguyen
    http://arxiv.org/abs/2007.03618v1
    • [math.OC]Fictitious Play for Mean Field Games: Continuous Time Analysis and Applications
    Sarah Perrin, Julien Perolat, Mathieu Laurière, Matthieu Geist, Romuald Elie, Olivier Pietquin
    http://arxiv.org/abs/2007.03458v1
    • [math.OC]Quantifying the asymptotic linear convergence speed of Anderson Acceleration applied to ADMM
    Dawei Wang, Yunhui He, Hans De Sterck
    http://arxiv.org/abs/2007.02916v2
    • [math.OC]Understanding the Impact of Model Incoherence on Convergence of Incremental SGD with Random Reshuffle
    Shaocong Ma, Yi Zhou
    http://arxiv.org/abs/2007.03509v1
    • [math.ST]A Natural Discrete One Parameter Polynomial Exponential Distribution
    Sudhansu S. Maiti, Molay Kumar Ruidas, Sumanta Adhya
    http://arxiv.org/abs/2007.03571v1
    • [math.ST]Estimation and Inference with Trees and Forests in High Dimensions
    Vasilis Syrganis, Manolis Zampetakis
    http://arxiv.org/abs/2007.03210v1
    • [math.ST]Information-theoretic convergence of extreme values to the Gumbel distribution
    Oliver Johnson
    http://arxiv.org/abs/2007.03569v1
    • [physics.comp-ph]FleCSPH: The Next Generation FleCSIble Parallel Computational Infrastructure for Smoothed Particle Hydrodynamics
    Julien Loiseau, Hyun Lim, Mark Alexander Kaltenborn, Oleg Korobkin, Christopher M. Mauney, Irina Sagert, Wesley P. Even, Benjamin K. Bergen
    http://arxiv.org/abs/2007.03097v1
    • [physics.comp-ph]On the Efficient Evaluation of the Exchange Correlation Potential on Graphics Processing Unit Clusters
    David B. Williams-Young, Wibe A. de Jong, Hubertus J. J. van Dam, Chao Yang
    http://arxiv.org/abs/2007.03143v1
    • [physics.comp-ph]Parallel Algorithms for Successive Convolution
    Andrew J. Christlieb, Pierson T. Guthrey, William A. Sands, Mathialakan Thavappiragasm
    http://arxiv.org/abs/2007.03041v1
    • [physics.comp-ph]Predicting Porosity, Permeability, and Tortuosity of Porous Media from Images by Deep Learning
    Krzysztof M. Graczyk, Maciej Matyka
    http://arxiv.org/abs/2007.02820v1
    • [physics.comp-ph]Robust Technique for Representative Volume Element Identification in Noisy Microtomography Images of Porous Materials Based on Pores Morphology and Their Spatial Distribution
    Maxim Grigoriev, Anvar Khafizov, Vladislav Kokhan, Viktor Asadchikov
    http://arxiv.org/abs/2007.03035v1
    • [physics.ins-det]Scalable, Proposal-free Instance Segmentation Network for 3D Pixel Clustering and Particle Trajectory Reconstruction in Liquid Argon Time Projection Chambers
    Dae Heun Koh, Pierre Côte de Soux, Laura Dominé, François Drielsma, Ran Itay, Qing Lin, Kazuhiro Terao, Ka Vang Tsang, Tracy Usher
    http://arxiv.org/abs/2007.03083v1
    • [physics.med-ph]X-ray Photon-Counting Data Correction through Deep Learning
    Mengzhou Li, David S. Rundle, Ge Wang
    http://arxiv.org/abs/2007.03119v1
    • [physics.soc-ph]COVID-19 and Income Profile: How People in Different Income Groups Responded to Disease Outbreak, Case Study of the United States
    Qianqian Sun, Weiyi Zhou, Aliakbar Kabiri, Aref Darzi, Songhua Hu, Hannah Younes, Lei Zhang
    http://arxiv.org/abs/2007.02160v1
    • [physics.soc-ph]Microsimulation Analysis for Network Traffic Assignment (MANTA) at Metropolitan-Scale for Agile Transportation Planning
    Pavan Yedavalli, Krishna Kumar, Paul Waddell
    http://arxiv.org/abs/2007.03614v1
    • [stat.AP]Cost-sensitive Multi-class AdaBoost for Understanding Driving Behavior with Telematics
    Banghee So, Jean-Philippe Boucher, Emiliano A. Valdez
    http://arxiv.org/abs/2007.03100v1
    • [stat.AP]Forecasting Australian subnational age-specific mortality rates
    Han Lin Shang, Yang Yang
    http://arxiv.org/abs/2007.03297v1
    • [stat.AP]Theoretical and Practical Limits of Kolmogorov-Zurbenko Periodograms with DiRienzo-Zurbenko Algorithm Smoothing in the Spectral Analysis of Time Series Data
    Barry Loneck, Igor Zurbenko
    http://arxiv.org/abs/2007.03031v1
    • [stat.ME]Estimating Extreme Value Index by Subsampling for Massive Datasets with Heavy-Tailed Distributions
    Yongxin Li, Liuju Chen, Deyuan Li, Hansheng Wang
    http://arxiv.org/abs/rg/abs/2007.02037v1
    • [stat.ME]Innovative And Additive Outlier Robust Kalman Filtering With A Robust Particle Filter
    Alexander T. M. Fisch, Idris A. Eckley, P. Fearnhead
    http://arxiv.org/abs/2007.03238v1
    • [stat.ME]Longitudinal mediation analysis of time-to-event endpoints in the presence of competing risks
    Tat-Thang Vo, Hilary Davies-Kershaw, Ruth Hackett, Stijn Vansteelandt
    http://arxiv.org/abs/2007.03288v1
    • [stat.ME]Multiple Imputation with Massive Data: an Application to the Panel Study of Income Dynamics
    Yajuan Si, Steve Heeringa, David Johnson, Roderick Little, Wenshuo Liu, Fabian Pfeffer, Raghunathan Trivellore
    http://arxiv.org/abs/2007.03016v1
    • [stat.ME]Prediction Regions for Poisson and Over-Dispersed Poisson Regression Models with Applications to Forecasting Number of Deaths during the COVID-19 Pandemic
    T. KIm, B. Lieberman, G. Luta, E. Pena
    http://arxiv.org/abs/2007.02105v2
    • [stat.ME]The ordering of future observations from multiple groups
    Tahani Coolen-Maturi
    http://arxiv.org/abs/2007.03308v1
    • [stat.ME]qgam: Bayesian non-parametric quantile regression modelling in R
    Matteo Fasiolo, Simon N. Wood, Margaux Zaffran, Raphaël Nedellec, Yannig Goude
    http://arxiv.org/abs/2007.03303v1
    • [stat.ML]Causal Feature Selection via Orthogonal Search
    Anant Raj, Stefan Bauer, Ashkan Soleymani, Michel Besserve, Bernhard Schölkopf
    http://arxiv.org/abs/2007.02938v1
    • [stat.ML]Doubly infinite residual networks: a diffusion process approach
    Stefano Peluchetti, Stefano Favaro
    http://arxiv.org/abs/2007.03253v1
    • [stat.ML]Kernel Stein Generative Modeling
    Wei-Cheng Chang, Chun-Liang Li, Youssef Mroueh, Yiming Yang
    http://arxiv.org/abs/2007.03074v1
    • [stat.ML]Manifold Learning via Manifold Deflation
    Daniel Ting, Michael I. Jordan
    http://arxiv.org/abs/2007.03315v1
    • [stat.ML]Stochastic Linear Bandits Robust to Adversarial Attacks
    Ilija Bogunovic, Arpan Losalka, Andreas Krause, Jonathan Scarlett
    http://arxiv.org/abs/2007.03285v1
    • [stat.ML]srMO-BO-3GP: A sequential regularized multi-objective constrained Bayesian optimization for design applications
    Anh Tran, Mike Eldred, Scott McCann, Yan Wang
    http://arxiv.org/abs/2007.03502v1