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.DL - 数字图书馆 cs.GR - 计算机图形学 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.NE - 神经与进化计算 cs.PL - 编程语言 cs.RO - 机器人学 cs.SD - 声音处理 cs.SI - 社交网络与信息网络 econ.EM - 计量经济学 econ.TH - 理论经济学 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-ex - 高能物理实验 math.CO - 组合数学 math.NA - 数值分析 math.OC - 优化与控制 math.ST - 统计理论 physics.comp-ph - 计算物理学 q-bio.NC - 神经元与认知 q-bio.QM - 定量方法 q-fin.GN - 通用财务 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

    • [cs.AI]A Flexible Pipeline for the Optimization of CSG Trees
    • [cs.AI]A Logical Approach to Representing Constraints in Wikidata
    • [cs.AI]A Phase Transition in Minesweeper
    • [cs.AI]ASP(AC): Answer Set Programming with Algebraic Constraints
    • [cs.AI]Advancing Lazy-Grounding ASP Solving Techniques — Restarts, Phase Saving, Heuristics, and More
    • [cs.AI]Bilevel Learning Model Towards Industrial Scheduling
    • [cs.AI]Explanation Generation for Multi-Modal Multi-Agent Path Finding with Optimal Resource Utilization using Answer Set Programming
    • [cs.AI]Hierarchial Reinforcement Learning in StarCraft II with Human Expertise in Subgoals Selection
    • [cs.AI]Human Robot Collaborative Assembly Planning: An Answer Set Programming Approach
    • [cs.AI]Learning (Re-)Starting Solutions for Vehicle Routing Problems
    • [cs.AI]Learning abstract structure for drawing by efficient motor program induction
    • [cs.AI]NMR Assignment through Linear Programming
    • [cs.AI]Navigating Language Models with Synthetic Agents
    • [cs.AI]On the Gap between Epidemiological Surveillance and Preparedness
    • [cs.AI]Reasoning about Cardinal Directions between 3-Dimensional Extended Objects using Answer Set Programming
    • [cs.AI]Robot Action Selection Learning via Layered Dimension Informed Program Synthesis
    • [cs.AI]Scalable FastMDP for Pre-departure Airspace Reservation and Strategic De-conflict
    • [cs.AI]White-box Induction From SVM Models: Explainable AI with Logic Programming
    • [cs.CL]A Bootstrapped Model to Detect Abuse and Intent in White Supremacist Corpora
    • [cs.CL]A Large-Scale Chinese Short-Text Conversation Dataset
    • [cs.CL]Assessing Demographic Bias in Named Entity Recognition
    • [cs.CL]DQI: A Guide to Benchmark Evaluation
    • [cs.CL]Distilling the Knowledge of BERT for Sequence-to-Sequence ASR
    • [cs.CL]Diversifying Task-oriented Dialogue Response Generation with Prototype Guided Paraphrasing
    • [cs.CL]Does BERT Solve Commonsense Task via Commonsense Knowledge?
    • [cs.CL]Fast Gradient Projection Method for Text Adversary Generation and Adversarial Training
    • [cs.CL]Fast and Accurate Neural CRF Constituency Parsing
    • [cs.CL]FireBERT: Hardening BERT-based classifiers against adversarial attack
    • [cs.CL]KR-BERT: A Small-Scale Korean-Specific Language Model
    • [cs.CL]Knowledge Distillation and Data Selection for Semi-Supervised Learning in CTC Acoustic Models
    • [cs.CL]Point or Generate Dialogue State Tracker
    • [cs.CL]Question Identification in Arabic Language Using Emotional Based Features
    • [cs.CL]Quran Intelligent Ontology Construction Approach Using Association Rules Mining
    • [cs.CL]Retrofitting Vector Representations of Adverse Event Reporting Data to Structured Knowledge to Improve Pharmacovigilance Signal Detection
    • [cs.CL]SemEval-2020 Task 9: Overview of Sentiment Analysis of Code-Mixed Tweets
    • [cs.CR]Consumer UAV Cybersecurity Vulnerability Assessment Using Fuzzing Tests
    • [cs.CR]Enhancing Robustness Against Adversarial Examples in Network Intrusion Detection Systems
    • [cs.CR]Multi-Stage Optimized Machine Learning Framework for Network Intrusion Detection
    • [cs.CR]Randomness Evaluation of a Genetic Algorithm for Image Encryption: A Signal Processing Approach
    • [cs.CV]1-Point RANSAC-Based Method for Ground Object Pose Estimation
    • [cs.CV]2nd Place Scheme on Action Recognition Track of ECCV 2020 VIPriors Challenges: An Efficient Optical Flow Stream Guided Framework
    • [cs.CV]3D Human Motion Estimation via Motion Compression and Refinement
    • [cs.CV]A Unified Framework for Shot Type Classification Based on Subject Centric Lens
    • [cs.CV]Appearance-free Tripartite Matching for Multiple Object Tracking
    • [cs.CV]Assisting Scene Graph Generation with Self-Supervision
    • [cs.CV]Augmenting Molecular Images with Vector Representations as a Featurization Technique for Drug Classification
    • [cs.CV]Automatic Failure Recovery and Re-Initialization for Online UAV Tracking with Joint Scale and Aspect Ratio Optimization
    • [cs.CV]Block Shuffle: A Method for High-resolution Fast Style Transfer with Limited Memory
    • [cs.CV]Cooperative Bi-path Metric for Few-shot Learning
    • [cs.CV]Cross-modal Center Loss
    • [cs.CV]DR^2Track: Towards Real-Time Visual Tracking for UAV via Distractor Repressed Dynamic Regression
    • [cs.CV]Deep Learning-based Human Detection for UAVs with Optical and Infrared Cameras: System and Experiments
    • [cs.CV]Deep Reinforcement Learning with Label Embedding Reward for Supervised Image Hashing
    • [cs.CV]Deep Sketch-guided Cartoon Video Synthesis
    • [cs.CV]Deep learning for photoacoustic imaging: a survey
    • [cs.CV]Depth image denoising using nuclear norm and learning graph model
    • [cs.CV]Describe What to Change: A Text-guided Unsupervised Image-to-Image Translation Approach
    • [cs.CV]Domain Private and Agnostic Feature for Modality Adaptive Face Recognition
    • [cs.CV]Driving among Flatmobiles: Bird-Eye-View occupancy grids from a monocular camera for holistic trajectory planning
    • [cs.CV]Dual In-painting Model for Unsupervised Gaze Correction and Animation in the Wild
    • [cs.CV]Feature Space Augmentation for Long-Tailed Data
    • [cs.CV]Flow-Guided Attention Networks for Video-Based Person Re-Identification
    • [cs.CV]Forget About the LiDAR: Self-Supervised Depth Estimators with MED Probability Volumes
    • [cs.CV]Forming Local Intersections of Projections for Classifying and Searching Histopathology Images
    • [cs.CV]From Rain Removal to Rain Generation
    • [cs.CV]From depth image to semantic scene synthesis through point cloud classification and labeling: Application to assistive systems
    • [cs.CV]Fully Automated Photogrammetric Data Segmentation and Object Information Extraction Approach for Creating Simulation Terrain
    • [cs.CV]HAPI: Hardware-Aware Progressive Inference
    • [cs.CV]HASeparator: Hyperplane-Assisted Softmax
    • [cs.CV]Hard Class Rectification for Domain Adaptation
    • [cs.CV]Hard Negative Samples Emphasis Tracker without Anchors
    • [cs.CV]Hierarchical Bi-Directional Feature Perception Network for Person Re-Identification
    • [cs.CV]How Trustworthy are the Existing Performance Evaluations for Basic Vision Tasks?
    • [cs.CV]Hybrid Score- and Rank-level Fusion for Person Identification using Face and ECG Data
    • [cs.CV]I2L-MeshNet: Image-to-Lixel Prediction Network for Accurate 3D Human Pose and Mesh Estimation from a Single RGB Image
    • [cs.CV]IF-Net: An Illumination-invariant Feature Network
    • [cs.CV]Improved Adaptive Type-2 Fuzzy Filter with Exclusively Two Fuzzy Membership Function for Filtering Salt and Pepper Noise
    • [cs.CV]Incomplete Descriptor Mining with Elastic Loss for Person Re-Identification
    • [cs.CV]Invertible Neural BRDF for Object Inverse Rendering
    • [cs.CV]LPMNet: Latent Part Modification and Generation for 3D Point Clouds
    • [cs.CV]Labels Are Not Perfect: Improving Probabilistic Object Detection via Label Uncertainty
    • [cs.CV]Lane Detection Model Based on Spatio-Temporal Network with Double ConvGRUs
    • [cs.CV]Learning CNN filters from user-drawn image markers for coconut-tree image classification
    • [cs.CV]Learning Consistency Pursued Correlation Filters for Real-Time UAV Tracking
    • [cs.CV]LiDAR Data Enrichment Using Deep Learning Based on High-Resolution Image: An Approach to Achieve High-Performance LiDAR SLAM Using Low-cost LiDAR
    • [cs.CV]MHSA-Net: Multi-Head Self-Attention Network for Occluded Person Re-Identification
    • [cs.CV]Measuring shape relations using r-parallel sets
    • [cs.CV]Meta Feature Modulator for Long-tailed Recognition
    • [cs.CV]Multimodal Image-to-Image Translation via Mutual Information Estimation and Maximization
    • [cs.CV]NASB: Neural Architecture Search for Binary Convolutional Neural Networks
    • [cs.CV]Neural Light Transport for Relighting and View Synthesis
    • [cs.CV]Neural Reflectance Fields for Appearance Acquisition
    • [cs.CV]Nighttime Dehazing with a Synthetic Benchmark
    • [cs.CV]Online Extrinsic Camera Calibration for Temporally Consistent IPM Using Lane Boundary Observations with a Lane Width Prior
    • [cs.CV]Online Multi-modal Person Search in Videos
    • [cs.CV]PAN: Towards Fast Action Recognition via Learning Persistence of Appearance
    • [cs.CV]Projected-point-based Segmentation: A New Paradigm for LiDAR Point Cloud Segmentation
    • [cs.CV]Prototype Mixture Models for Few-shot Semantic Segmentation
    • [cs.CV]RPT: Learning Point Set Representation for Siamese Visual Tracking
    • [cs.CV]Radar-based Dynamic Occupancy Grid Mapping and Object Detection
    • [cs.CV]Recurrent Feature Reasoning for Image Inpainting
    • [cs.CV]Richly Activated Graph Convolutional Network for Robust Skeleton-based Action Recognition
    • [cs.CV]Road Segmentation for Remote Sensing Images using Adversarial Spatial Pyramid Networks
    • [cs.CV]RocNet: Recursive Octree Network for Efficient 3D Deep Representation
    • [cs.CV]SOFA-Net: Second-Order and First-order Attention Network for Crowd Counting
    • [cs.CV]Self-Supervised Learning of Audio-Visual Objects from Video
    • [cs.CV]SemEval-2020 Task 8: Memotion Analysis — The Visuo-Lingual Metaphor!
    • [cs.CV]Single-Shot Two-Pronged Detector with Rectified IoU Loss
    • [cs.CV]Spatiotemporal Contrastive Video Representation Learning
    • [cs.CV]SynDistNet: Self-Supervised Monocular Fisheye Camera Distance Estimation Synergized with Semantic Segmentation for Autonomous Driving
    • [cs.CV]T-GD: Transferable GAN-generated Images Detection Framework
    • [cs.CV]Towards Lossless Binary Convolutional Neural Networks Using Piecewise Approximation
    • [cs.CV]Tracking in Crowd is Challenging: Analyzing Crowd based on Physical Characteristics
    • [cs.CV]Two-branch Recurrent Network for Isolating Deepfakes in Videos
    • [cs.CV]Unravelling Small Sample Size Problems in the Deep Learning World
    • [cs.CV]Unsupervised Deep-Learning Based Deformable Image Registration: A Bayesian Framework
    • [cs.CV]Unsupervised Feature Learning by Cross-Level Discrimination between Instances and Groups
    • [cs.CV]Using UNet and PSPNet to explore the reusability principle of CNN parameters
    • [cs.CV]VPC-Net: Completion of 3D Vehicles from MLS Point Clouds
    • [cs.CV]Vision Meets Wireless Positioning: Effective Person Re-identification with Recurrent Context Propagation
    • [cs.CY]A novel hand-held interface supporting the self-management of Type 1 diabetes
    • [cs.CY]Agricultural Knowledge Management Using Smart Voice Messaging Systems: Combination of Physical and Human Sensors
    • [cs.CY]Anxiety Detection Leveraging Mobile Passive Sensing
    • [cs.CY]COVID19 Tracking: An Interactive Tracking, Visualizing and Analyzing Platform
    • [cs.CY]Mining and Analyzing Patron’s Book-Loan Data and University Data to Understand Library Use Patterns
    • [cs.CY]PolicyKit: Building Governance in Online Communities
    • [cs.CY]Service Ecosystem: A Lens of Smart Society
    • [cs.CY]Tactics for Internal Compliance: A Literature Review
    • [cs.CY]The perceptions of social and information privacy risks of Inflammatory Bowel Disease patients using social media platforms for health-related support
    • [cs.CY]Using social media to measure demographic responses to natural disaster: Insights from a large-scale Facebook survey following the 2019 Australia Bushfires
    • [cs.DC]BSF: a parallel computation model for scalability estimation of iterative numerical algorithms on cluster computing systems
    • [cs.DC]Coloring Fast Without Learning Your Neighbors’ Colors
    • [cs.DC]Communication Efficient Self-Stabilizing Leader Election (Full Version)
    • [cs.DC]Concurrent Fixed-Size Allocation and Free in Constant Time
    • [cs.DC]ConnectIt: A Framework for Static and Incremental Parallel Graph Connectivity Algorithms
    • [cs.DC]Improved Bounds for Distributed Load Balancing
    • [cs.DC]Making Byzantine Consensus Live (Extended Version)
    • [cs.DC]Scission: Context-aware and Performance-driven Edge-based Distributed Deep Neural Networks
    • [cs.DC]Towards a Reference Architecture Model for Industrial Edge Computing
    • [cs.DC]TransForm: Formally Specifying Transistency Models and Synthesizing Enhanced Litmus Tests
    • [cs.DL]Navigating the landscape of COVID-19 research through literature analysis: A bird’s eye view
    • [cs.DL]The Role of Positive and Negative Citations in Scientific Evaluation
    • [cs.GR]Accelerating Evolutionary Construction Tree Extraction via Graph Partitioning
    • [cs.HC]Social Interactions Clustering MOOC Students: An Exploratory Study
    • [cs.IR]Analysing the Effect of Clarifying Questions on Document Ranking in Conversational Search
    • [cs.IR]Beyond Lexical: A Semantic Retrieval Framework for Textual SearchEngine
    • [cs.IR]Diverse Group Formation Based on Multiple Demographic Features
    • [cs.IR]Partially Synthetic Data for Recommender Systems: Prediction Performance and Preference Hiding
    • [cs.IR]Path-Based Reasoning over Heterogeneous Networks for Recommendation via Bidirectional Modeling
    • [cs.IT]A Full Second-Order Analysis of the Widely Linear MVDR Beamformer for Noncircular Signals
    • [cs.IT]Deep Learning for Joint Channel Estimation and Signal Detection in OFDM Systems
    • [cs.IT]Double Blind $T$-Private Information Retrieval
    • [cs.IT]Fundamental Limits of Caching for Demand Privacy against Colluding Users
    • [cs.IT]New Constructions of MDS Twisted Reed-Solomon Codes and LCD MDS Codes
    • [cs.IT]Opportunistic Cooperation Strategies for Multiple Access Relay Channels with Compute-and-Forward
    • [cs.IT]Parameter estimation in the SIR model from early infections
    • [cs.IT]Robust Design for NOMA-based Multi-Beam LEO Satellite Internet of Things
    • [cs.IT]Sketching semidefinite programs for faster clustering
    • [cs.LG]A Novel Community Detection Based Genetic Algorithm for Feature Selection
    • [cs.LG]A Survey on Large-scale Machine Learning
    • [cs.LG]A novel residual whitening based training to avoid overfitting
    • [cs.LG]ARCADe: A Rapid Continual Anomaly Detector
    • [cs.LG]Automatic Remaining Useful Life Estimation Framework with Embedded Convolutional LSTM as the Backbone
    • [cs.LG]Comparative Analysis of the Hidden Markov Model and LSTM: A Simulative Approach
    • [cs.LG]Concept Drift Detection: Dealing with MissingValues via Fuzzy Distance Estimations
    • [cs.LG]EagerPy: Writing Code That Works Natively with PyTorch, TensorFlow, JAX, and NumPy
    • [cs.LG]Feature Ranking for Semi-supervised Learning
    • [cs.LG]GPU-Accelerated Primal Learning for Extremely Fast Large-Scale Classification
    • [cs.LG]HOLMES: Health OnLine Model Ensemble Serving for Deep Learning Models in Intensive Care Units
    • [cs.LG]Improving the Speed and Quality of GAN by Adversarial Training
    • [cs.LG]Informative Dropout for Robust Representation Learning: A Shape-bias Perspective
    • [cs.LG]Intelligent Matrix Exponentiation
    • [cs.LG]Learning to Detect Bipolar Disorder and Borderline Personality Disorder with Language and Speech in Non-Clinical Interviews
    • [cs.LG]Lenient Regret for Multi-Armed Bandits
    • [cs.LG]Lie PCA: Density estimation for symmetric manifolds
    • [cs.LG]LotteryFL: Personalized and Communication-Efficient Federated Learning with Lottery Ticket Hypothesis on Non-IID Datasets
    • [cs.LG]Mime: Mimicking Centralized Stochastic Algorithms in Federated Learning
    • [cs.LG]Non-Adversarial Imitation Learning and its Connections to Adversarial Methods
    • [cs.LG]Nyström Approximation with Nonnegative Matrix Factorization
    • [cs.LG]Partitioning signal classes using transport transforms for data analysis and machine learning
    • [cs.LG]RARTS: a Relaxed Architecture Search Method
    • [cs.LG]Review of Swarm Intelligence-based Feature Selection Methods
    • [cs.LG]Testing Determinantal Point Processes
    • [cs.LG]Using Experts’ Opinions in Machine Learning Tasks
    • [cs.LG]What Neural Networks Memorize and Why: Discovering the Long Tail via Influence Estimation
    • [cs.LG]Why to “grow” and “harvest” deep learning models?
    • [cs.LO]Proof-Carrying Plans: a Resource Logic for AI Planning
    • [cs.NE]DIET-SNN: Direct Input Encoding With Leakage and Threshold Optimization in Deep Spiking Neural Networks
    • [cs.NE]Extended Particle Swarm Optimization (EPSO) for Feature Selection of High Dimensional Biomedical Data
    • [cs.NE]Lights and Shadows in Evolutionary Deep Learning: Taxonomy, Critical Methodological Analysis, Cases of Study, Learned Lessons, Recommendations and Challenges
    • [cs.NE]Protein Structured Reservoir computing for Spike-based Pattern Recognition
    • [cs.NE]Spatial Sharing of GPU for Autotuning DNN models
    • [cs.NE]Using Neural Networks and Diversifying Differential Evolution for Dynamic Optimisation
    • [cs.NE]Visual Pattern Recognition with on On-chip Learning: towards a Fully Neuromorphic Approach
    • [cs.PL]Code Building Genetic Programming
    • [cs.RO]Can I lift it? Humanoid robot reasoning about the feasibility of lifting a heavy box with unknown physical properties
    • [cs.RO]Contact-Rich Trajectory Generation in Confined Environments Using Iterative Convex Optimization
    • [cs.RO]Cyrus 2D Simulation Team Description Paper2018
    • [cs.RO]Fisher Information Field: an Efficient and Differentiable Map for Perception-aware Planning
    • [cs.RO]Imitation Learning for Autonomous Trajectory Learning of Robot Arms in Space
    • [cs.RO]Learning-Based Safety-Stability-Driven Control for Safety-Critical Systems under Model Uncertainties
    • [cs.RO]Multimodal Deep Generative Models for Trajectory Prediction: A Conditional Variational Autoencoder Approach
    • [cs.RO]Neural Manipulation Planning on Constraint Manifolds
    • [cs.RO]TGK-Planner: An Efficient Topology Guided Kinodynamic Planner for Autonomous Quadrotors
    • [cs.RO]The Importance and the Limitations of Sim2Real for Robotic Manipulation in Precision Agriculture
    • [cs.RO]TriFinger: An Open-Source Robot for Learning Dexterity
    • [cs.RO]Variable Stiffness Control with Strict Frequency Domain Constraints for Physical Human-Robot Interaction
    • [cs.SD]A Novel Method for Obtaining Diffuse Field Measurements for Microphone Calibration
    • [cs.SD]Metric Learning vs Classification for Disentangled Music Representation Learning
    • [cs.SI]A Random Growth Model with any Real or Theoretical Degree Distribution
    • [cs.SI]Adversarial Directed Graph Embedding
    • [cs.SI]Analysing Networks of Networks
    • [cs.SI]Behavioral Modeling of Persian Instagram Users to detect Bots
    • [cs.SI]Big Networks: A Survey
    • [cs.SI]Clustering Network Tree Data From Respondent-driven sampling with application to opioid users in New York City
    • [cs.SI]Data-driven Inferences of Agency-level Risk and Response Communication on COVID-19 through Social Media based Interactions
    • [cs.SI]Extracting Backbones in Weighted Modular Complex Networks
    • [cs.SI]ISTD-GCN: Iterative Spatial-Temporal Diffusion Graph Convolutional Network for Traffic Speed Forecasting
    • [cs.SI]MODEL: Motif-based Deep Feature Learning for Link Prediction
    • [cs.SI]Multivariate Relations Aggregation Learning in Social Networks
    • [cs.SI]Network Inference from a Mixture of Diffusion Models for Fake News Mitigation
    • [cs.SI]Prediction Methods and Applications in the Science of Science: A Survey
    • [cs.SI]Random Walks: A Review of Algorithms and Applications
    • [cs.SI]Robust Bayesian inference of network structure from unreliable data
    • [cs.SI]Storyline Visualizations with Ubiquitous Actors
    • [econ.EM]Machine Learning Panel Data Regressions with an Application to Nowcasting Price Earnings Ratios
    • [econ.EM]Nonparametric prediction with spatial data
    • [econ.TH]Purely Bayesian counterfactuals versus Newcomb’s paradox
    • [eess.AS]A New Approach to Accent Recognition and Conversion for Mandarin Chinese
    • [eess.AS]Accurate Detection of Wake Word Start and End Using a CNN
    • [eess.AS]Audio Spoofing Verification using Deep Convolutional Neural Networks by Transfer Learning
    • [eess.AS]Deep F-measure Maximization for End-to-End Speech Understanding
    • [eess.AS]Deep MOS Predictor for Synthetic Speech Using Cluster-Based Modeling
    • [eess.AS]Disentangled Multidimensional Metric Learning for Music Similarity
    • [eess.AS]Exploring the Use of an Unsupervised Autoregressive Model as a Shared Encoder for Text-Dependent Speaker Verification
    • [eess.AS]Extrapolating false alarm rates in automatic speaker verification
    • [eess.AS]JukeBox: A Multilingual Singer Recognition Dataset
    • [eess.AS]LRSpeech: Extremely Low-Resource Speech Synthesis and Recognition
    • [eess.AS]Speaker discrimination in humans and machines: Effects of speaking style variability
    • [eess.AS]Speech Driven Talking Face Generation from a Single Image and an Emotion Condition
    • [eess.AS]SpeedySpeech: Efficient Neural Speech Synthesis
    • [eess.AS]TinySpeech: Attention Condensers for Deep Speech Recognition Neural Networks on Edge Devices
    • [eess.AS]VAW-GAN for Singing Voice Conversion with Non-parallel Training Data
    • [eess.AS]Variable frame rate-based data augmentation to handle speaking-style variability for automatic speaker verification
    • [eess.AS]Word Error Rate Estimation Without ASR Output: e-WER2
    • [eess.IV]A methodology for the measurement of track geometry based on computer vision and inertial sensors
    • [eess.IV]A model-guided deep network for limited-angle computed tomography
    • [eess.IV]An Explainable 3D Residual Self-Attention Deep Neural Network FOR Joint Atrophy Localization and Alzheimer’s Disease Diagnosis using Structural MRI
    • [eess.IV]Auto-weighting for Breast Cancer Classification in Multimodal Ultrasound
    • [eess.IV]Bidirectional Mapping Generative Adversarial Networks for Brain MR to PET Synthesis
    • [eess.IV]Complex Grey Matter Structure Segmentation in Brains via Deep Learning: Example of the Claustrum
    • [eess.IV]Deep Learning from Dual-Energy Information for Whole-Heart Segmentation in Dual-Energy and Single-Energy Non-Contrast-Enhanced Cardiac CT
    • [eess.IV]Dimensionality Reduction via Diffusion Map Improved with Supervised Linear Projection
    • [eess.IV]Encoding Structure-Texture Relation with P-Net for Anomaly Detection in Retinal Images
    • [eess.IV]Learning Bloch Simulations for MR Fingerprinting by Invertible Neural Networks
    • [eess.IV]Low-Light Maritime Image Enhancement with Regularized Illumination Optimization and Deep Noise Suppression
    • [eess.IV]Norm-in-Norm Loss with Faster Convergence and Better Performance for Image Quality Assessment
    • [eess.IV]Recent Advances and New Guidelines on Hyperspectral and Multispectral Image Fusion
    • [eess.IV]Representation Learning via Cauchy Convolutional Sparse Coding
    • [eess.IV]Switching Loss for Generalized Nucleus Detection in Histopathology
    • [eess.IV]Using PSPNet and UNet to analyze the internal parameter relationship and visualization of the convolutional neural network
    • [eess.IV]X-Ray bone abnormalities detection using MURA dataset
    • [eess.SP]A Modular Approach for Synchronized Wireless Multimodal Multisensor Data Acquisition in Highly Dynamic Social Settings
    • [eess.SP]DFT-spread-OFDM Based Chirp Transmission
    • [eess.SP]Deep-learning-based precoding in multiuser MIMO downlink channels with limited feedback
    • [eess.SP]Enhance CNN Robustness Against Noises for Classification of 12-Lead ECG with Variable Length
    • [eess.SP]Robust and Scalable Techniques for TWR and TDoA based localization using Ultra Wide Band Radios
    • [eess.SP]Rounded Hartley Transform: A Quasi-involution
    • [eess.SP]Two-Stage Clustering of Household Electricity Load Shapes based on Temporal Pattern & Peak Demand
    • [eess.SP]Viral Aerosol Concentration Characterization and Detection in Bounded Environments
    • [eess.SY]Deterministic error bounds for kernel-based learning techniques under bounded noise
    • [eess.SY]From private to public governance: The case for reconfiguring energy systems as a commons
    • [eess.SY]Maneuvering and robustness issues in undirected displacement-consensus-based formation control
    • [eess.SY]One for Many: Transfer Learning for Building HVAC Control
    • [hep-ex]Distance-Weighted Graph Neural Networks on FPGAs for Real-Time Particle Reconstruction in High Energy Physics
    • [math.CO]On construction and (non)existence of $c$-(almost) perfect nonlinear functions
    • [math.NA]Generalization error of minimum weighted norm and kernel interpolation
    • [math.OC]An improved convergence analysis for decentralized online stochastic non-convex optimization
    • [math.OC]Convex Q-Learning, Part 1: Deterministic Optimal Control
    • [math.OC]Risk-Sensitive Markov Decision Processes with Combined Metrics of Mean and Variance
    • [math.ST]A Note on Likelihood Ratio Tests for Models with Latent Variables
    • [math.ST]Efficient Least Squares for Estimating Total Effects under Linearity and Causal Sufficiency
    • [math.ST]Exact log-likelihood for clustering parameterised models and normally distributed data
    • [math.ST]Rank-based Estimation under Asymptotic Dependence and Independence, with Applications to Spatial Extremes
    • [math.ST]Statistical Query Lower Bounds for Tensor PCA
    • [math.ST]Tracy-Widom distribution for the edge eigenvalues of Gram type random matrices
    • [physics.comp-ph]Optimal Bayesian experimental design for subsurface flow problems
    • [physics.comp-ph]Representative elementary volume via averaged scalar Minkowski functionals
    • [q-bio.NC]When words collide: Bayesian meta-analyses of distractor and target properties in the picture-word interference paradigm
    • [q-bio.QM]An AI-powered blood test to detect cancer using nanoDSF
    • [q-bio.QM]Low-Rank Reorganization via Proportional Hazards Non-negative Matrix Factorization Unveils Survival Associated Gene Clusters
    • [q-fin.GN]Transparency versus Performance in Financial Markets: The Role of CSR Communications
    • [quant-ph]Global Optimum Search in Quantum Deep Learning
    • [quant-ph]Quantum algorithmic randomness
    • [stat.AP]A New Spatial Count Data Model with Time-varying Parameters
    • [stat.AP]A robust and non-parametric model for prediction of dengue incidence
    • [stat.AP]Scalable model selection for spatial additive mixed modeling: application to crime analysis
    • [stat.AP]Segmentation analysis and the recovery of queuing parameters via the Wasserstein distance: a study of administrative data for patients with chronic obstructive pulmonary disease
    • [stat.AP]Time Fused Coefficient SIR Model with Application to COVID-19 Epidemic in the United States
    • [stat.ME]A potential outcomes approach to selection bias
    • [stat.ME]Community models for partially observed networks from surveys
    • [stat.ME]Covariate Balancing by Uniform Transformer
    • [stat.ME]Generalized Liquid Association Analysis for Multimodal Data Integration
    • [stat.ME]Generalized k-Means in GLMs with Applications to the Outbreak of COVID-19 in the United States
    • [stat.ME]Grouping effects of sparse CCA models in variable selection
    • [stat.ME]Using Multiple Imputation to Classify Potential Outcomes Subgroups
    • [stat.ME]Visualization of Covariance Structures for Multivariate Spatio-Temporal Random Fields
    • [stat.ML]$k$-means on a log-Cholesky Manifold, with Unsupervised Classification of Radar Products
    • [stat.ML]A Fully Bayesian Gradient-Free Supervised Dimension Reduction Method using Gaussian Processes
    • [stat.ML]Directed hypergraph neural network
    • [stat.ML]Do ideas have shape? Plato’s theory of forms as the continuous limit of artificial neural networks
    • [stat.ML]Individualized Prediction of COVID-19 Adverse outcomes with MLHO
    • [stat.ML]Intervention Generative Adversarial Networks
    • [stat.ML]Modal Principal Component Analysis
    • [stat.ML]Optimal Combination of Linear and Spectral Estimators for Generalized Linear Models
    • [stat.ML]Robust Validation: Confident Predictions Even When Distributions Shift
    • [stat.ML]Spectral Algorithms for Community Detection in Directed Networks

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

    • [cs.AI]A Flexible Pipeline for the Optimization of CSG Trees
    Markus Friedrich, Christoph Roch, Sebastian Feld, Carsten Hahn, Pierre-Alain Fayolle
    http://arxiv.org/abs/2008.03674v1

    • [cs.AI]A Logical Approach to Representing Constraints in Wikidata
    David L. Martin, Peter F. Patel-Schneider
    http://arxiv.org/abs/2008.03900v1

    • [cs.AI]A Phase Transition in Minesweeper
    Ross Dempsey, Charles Guinn
    http://arxiv.org/abs/2008.04116v1

    • [cs.AI]ASP(AC): Answer Set Programming with Algebraic Constraints
    Thomas Eiter, Rafael Kiesel
    http://arxiv.org/abs/2008.04008v1

    • [cs.AI]Advancing Lazy-Grounding ASP Solving Techniques — Restarts, Phase Saving, Heuristics, and More
    Antonius Weinzierl, Richard Taupe, Gerhard Friedrich
    http://arxiv.org/abs/2008.03526v1

    • [cs.AI]Bilevel Learning Model Towards Industrial Scheduling
    Longkang Li, Hui-Ling Zhen, Mingxuan Yuan, Jiawen Lu, XialiangTong, Jia Zeng, Jun Wang, Dirk Schnieders
    http://arxiv.org/abs/2008.04130v1

    • [cs.AI]Explanation Generation for Multi-Modal Multi-Agent Path Finding with Optimal Resource Utilization using Answer Set Programming
    Aysu Bogatarkan, Esra Erdem
    http://arxiv.org/abs/2008.03573v1

    • [cs.AI]Hierarchial Reinforcement Learning in StarCraft II with Human Expertise in Subgoals Selection
    Xinyi Xu, Tiancheng Huang, Pengfei Wei, Akshay Narayan, Tze-Yun Leong
    http://arxiv.org/abs/2008.03444v1

    • [cs.AI]Human Robot Collaborative Assembly Planning: An Answer Set Programming Approach
    Momina Rizwan, Volkan Patoglu, Esra Erdem
    http://arxiv.org/abs/2008.03496v1

    • [cs.AI]Learning (Re-)Starting Solutions for Vehicle Routing Problems
    Xingwen Zhang, Shuang Yang
    http://arxiv.org/abs/2008.03424v1

    • [cs.AI]Learning abstract structure for drawing by efficient motor program induction
    Lucas Y. Tian, Kevin Ellis, Marta Kryven, Joshua B. Tenenbaum
    http://arxiv.org/abs/2008.03519v1

    • [cs.AI]NMR Assignment through Linear Programming
    Jose F. S. Bravo-Ferreira, David Cowburn, Yuehaw Khoo, Amit Singer
    http://arxiv.org/abs/2008.03641v1

    • [cs.AI]Navigating Language Models with Synthetic Agents
    Philip Feldman
    http://arxiv.org/abs/2008.04162v1

    • [cs.AI]On the Gap between Epidemiological Surveillance and Preparedness
    Svetlana Yanushkevich, Vlad Shmerko
    http://arxiv.org/abs/2008.03845v1

    • [cs.AI]Reasoning about Cardinal Directions between 3-Dimensional Extended Objects using Answer Set Programming
    Yusuf Izmirlioglu, Esra Erdem
    http://arxiv.org/abs/2008.04126v1

    • [cs.AI]Robot Action Selection Learning via Layered Dimension Informed Program Synthesis
    Jarrett Holtz, Arjun Guha, Joydeep Biswas
    http://arxiv.org/abs/2008.04133v1

    • [cs.AI]Scalable FastMDP for Pre-departure Airspace Reservation and Strategic De-conflict
    Joshua R Bertram, Peng Wei, Joseph Zambreno
    http://arxiv.org/abs/2008.03518v1

    • [cs.AI]White-box Induction From SVM Models: Explainable AI with Logic Programming
    Farhad Shakerin, Gopal Gupta
    http://arxiv.org/abs/2008.03301v1

    • [cs.CL]A Bootstrapped Model to Detect Abuse and Intent in White Supremacist Corpora
    B. Simons, D. B. Skillicorn
    http://arxiv.org/abs/2008.04276v1

    • [cs.CL]A Large-Scale Chinese Short-Text Conversation Dataset
    Yida Wang, Pei Ke, Yinhe Zheng, Kaili Huang, Yong Jiang, Xiaoyan Zhu, Minlie Huang
    http://arxiv.org/abs/2008.03946v1

    • [cs.CL]Assessing Demographic Bias in Named Entity Recognition
    Shubhanshu Mishra, Sijun He, Luca Belli
    http://arxiv.org/abs/2008.03415v1

    • [cs.CL]DQI: A Guide to Benchmark Evaluation
    Swaroop Mishra, Anjana Arunkumar, Bhavdeep Sachdeva, Chris Bryan, Chitta Baral
    http://arxiv.org/abs/2008.03964v1

    • [cs.CL]Distilling the Knowledge of BERT for Sequence-to-Sequence ASR
    Hayato Futami, Hirofumi Inaguma, Sei Ueno, Masato Mimura, Shinsuke Sakai, Tatsuya Kawahara
    http://arxiv.org/abs/2008.03822v1

    • [cs.CL]Diversifying Task-oriented Dialogue Response Generation with Prototype Guided Paraphrasing
    Phillip Lippe, Pengjie Ren, Hinda Haned, Bart Voorn, Maarten de Rijke
    http://arxiv.org/abs/2008.03391v1

    • [cs.CL]Does BERT Solve Commonsense Task via Commonsense Knowledge?
    Leyang Cui, Sijie Cheng, Yu Wu, Yue Zhang
    http://arxiv.org/abs/2008.03945v1

    • [cs.CL]Fast Gradient Projection Method for Text Adversary Generation and Adversarial Training
    Xiaosen Wang, Yichen Yang, Yihe Deng, Kun He
    http://arxiv.org/abs/2008.03709v1

    • [cs.CL]Fast and Accurate Neural CRF Constituency Parsing
    Yu Zhang, Houquan Zhou, Zhenghua Li
    http://arxiv.org/abs/2008.03736v1

    • [cs.CL]FireBERT: Hardening BERT-based classifiers against adversarial attack
    Gunnar Mein, Kevin Hartman, Andrew Morris
    http://arxiv.org/abs/2008.04203v1

    • [cs.CL]KR-BERT: A Small-Scale Korean-Specific Language Model
    Sangah Lee, Hansol Jang, Yunmee Baik, Hyopil Shin
    http://arxiv.org/abs/2008.03979v1

    • [cs.CL]Knowledge Distillation and Data Selection for Semi-Supervised Learning in CTC Acoustic Models
    Prakhar Swarup, Debmalya Chakrabarty, Ashtosh Sapru, Hitesh Tulsiani, Harish Arsikere, Sri Garimella
    http://arxiv.org/abs/2008.03923v1

    • [cs.CL]Point or Generate Dialogue State Tracker
    Song Xiaohui, Hu Songlin
    http://arxiv.org/abs/2008.03417v1

    • [cs.CL]Question Identification in Arabic Language Using Emotional Based Features
    Ahmed Ramzy, Ahmed Elazab
    http://arxiv.org/abs/2008.03843v1

    • [cs.CL]Quran Intelligent Ontology Construction Approach Using Association Rules Mining
    Fouzi Harrag, Abdullah Al-Nasser, Abdullah Al-Musnad, Rayan Al-Shaya
    http://arxiv.org/abs/2008.03232v2

    • [cs.CL]Retrofitting Vector Representations of Adverse Event Reporting Data to Structured Knowledge to Improve Pharmacovigilance Signal Detection
    Xiruo Ding, Trevor Cohen
    http://arxiv.org/abs/2008.03340v1

    • [cs.CL]SemEval-2020 Task 9: Overview of Sentiment Analysis of Code-Mixed Tweets
    Parth Patwa, Gustavo Aguilar, Sudipta Kar, Suraj Pandey, Srinivas PYKL, Björn Gambäck, Tanmoy Chakraborty, Thamar Solorio, Amitava Das
    http://arxiv.org/abs/2008.04277v1

    • [cs.CR]Consumer UAV Cybersecurity Vulnerability Assessment Using Fuzzing Tests
    David Rudo, Dr. Kai Zeng
    http://arxiv.org/abs/2008.03621v1

    • [cs.CR]Enhancing Robustness Against Adversarial Examples in Network Intrusion Detection Systems
    Mohammad J. Hashemi, Eric Keller
    http://arxiv.org/abs/2008.03677v1

    • [cs.CR]Multi-Stage Optimized Machine Learning Framework for Network Intrusion Detection
    MohammadNoor Injadat, Abdallah Moubayed, Ali Bou Nassif, Abdallah Shami
    http://arxiv.org/abs/2008.03297v1

    • [cs.CR]Randomness Evaluation of a Genetic Algorithm for Image Encryption: A Signal Processing Approach
    Zoubir Hamici
    http://arxiv.org/abs/2008.03681v1

    • [cs.CV]1-Point RANSAC-Based Method for Ground Object Pose Estimation
    Jeong-Kyun Lee, Young-Ki Baik, Hankyu Cho, Kang Kim, Duck Hoon Kim
    http://arxiv.org/abs/2008.03718v1

    • [cs.CV]2nd Place Scheme on Action Recognition Track of ECCV 2020 VIPriors Challenges: An Efficient Optical Flow Stream Guided Framework
    Haoyu Chen, Zitong Yu, Xin Liu, Wei Peng, Yoon Lee, Guoying Zhao
    http://arxiv.org/abs/2008.03996v1

    • [cs.CV]3D Human Motion Estimation via Motion Compression and Refinement
    Zhengyi Luo, S. Alireza Golestaneh, Kris M. Kitani
    http://arxiv.org/abs/2008.03789v1

    • [cs.CV]A Unified Framework for Shot Type Classification Based on Subject Centric Lens
    Anyi Rao, Jiaze Wang, Linning Xu, Xuekun Jiang, Qingqiu Huang, Bolei Zhou, Dahua Lin
    http://arxiv.org/abs/2008.03548v1

    • [cs.CV]Appearance-free Tripartite Matching for Multiple Object Tracking
    Lijun Wang, Yanting Zhu, Jue Shi, Xiaodan Fan
    http://arxiv.org/abs/2008.03628v1

    • [cs.CV]Assisting Scene Graph Generation with Self-Supervision
    Sandeep Inuganti, Vineeth N Balasubramanian
    http://arxiv.org/abs/2008.03555v1

    • [cs.CV]Augmenting Molecular Images with Vector Representations as a Featurization Technique for Drug Classification
    Daniel de Marchi, Amarjit Budhiraja
    http://arxiv.org/abs/2008.03646v1

    • [cs.CV]Automatic Failure Recovery and Re-Initialization for Online UAV Tracking with Joint Scale and Aspect Ratio Optimization
    Fangqiang Ding, Changhong Fu, Yiming Li, Jin Jin, Chen Feng
    http://arxiv.org/abs/2008.03915v1

    • [cs.CV]Block Shuffle: A Method for High-resolution Fast Style Transfer with Limited Memory
    Weifeng Ma, Zhe Chen, Caoting Ji
    http://arxiv.org/abs/2008.03706v1

    • [cs.CV]Cooperative Bi-path Metric for Few-shot Learning
    Zeyuan Wang, Yifan Zhao, Jia Li, Yonghong Tian
    http://arxiv.org/abs/2008.04031v1

    • [cs.CV]Cross-modal Center Loss
    Longlong Jing, Elahe Vahdani, Jiaxing Tan, Yingli Tian
    http://arxiv.org/abs/2008.03561v1

    • [cs.CV]DR^2Track: Towards Real-Time Visual Tracking for UAV via Distractor Repressed Dynamic Regression
    Changhong Fu, Fangqiang Ding, Yiming Li, Jin Jin, Chen Feng
    http://arxiv.org/abs/2008.03912v1

    • [cs.CV]Deep Learning-based Human Detection for UAVs with Optical and Infrared Cameras: System and Experiments
    Timo Hinzmann, Tobias Stegemann, Cesar Cadena, Roland Siegwart
    http://arxiv.org/abs/2008.04197v1

    • [cs.CV]Deep Reinforcement Learning with Label Embedding Reward for Supervised Image Hashing
    Zhenzhen Wang, Weixiang Hong, Junsong Yuan
    http://arxiv.org/abs/2008.03973v1

    • [cs.CV]Deep Sketch-guided Cartoon Video Synthesis
    Xiaoyu Li, Bo Zhang, Jing Liao, Pedro V. Sander
    http://arxiv.org/abs/2008.04149v1

    • [cs.CV]Deep learning for photoacoustic imaging: a survey
    Changchun Yang, Hengrong Lan, Feng Gao, Fei Gao
    http://arxiv.org/abs/2008.04221v1

    • [cs.CV]Depth image denoising using nuclear norm and learning graph model
    Chenggang Yan, Zhisheng Li, Yongbing Zhang, Yutao Liu, Xiangyang Ji, Yongdong Zhang
    http://arxiv.org/abs/2008.03741v1

    • [cs.CV]Describe What to Change: A Text-guided Unsupervised Image-to-Image Translation Approach
    Yahui Liu, Marco De Nadai, Deng Cai, Huayang Li, Xavier Alameda-Pineda, Nicu Sebe, Bruno Lepri
    http://arxiv.org/abs/2008.04200v1

    • [cs.CV]Domain Private and Agnostic Feature for Modality Adaptive Face Recognition
    Yingguo Xu, Lei Zhang, Qingyan Duan
    http://arxiv.org/abs/2008.03848v1

    • [cs.CV]Driving among Flatmobiles: Bird-Eye-View occupancy grids from a monocular camera for holistic trajectory planning
    Abdelhak Loukkal, Yves Grandvalet, Tom Drummond, You Li
    http://arxiv.org/abs/2008.04047v1

    • [cs.CV]Dual In-painting Model for Unsupervised Gaze Correction and Animation in the Wild
    Jichao Zhang, Jingjing Chen, Hao Tang, Wei Wang, Yan Yan, Enver Sangineto, Nicu Sebe
    http://arxiv.org/abs/2008.03834v1

    • [cs.CV]Feature Space Augmentation for Long-Tailed Data
    Peng Chu, Xiao Bian, Shaopeng Liu, Haibin Ling
    http://arxiv.org/abs/2008.03673v1

    • [cs.CV]Flow-Guided Attention Networks for Video-Based Person Re-Identification
    Madhu Kiran, Amran Bhuiyan, Louis-Antoine Blais-Morin, Mehrsan Javan, Ismail Ben Ayed, Eric Granger
    http://arxiv.org/abs/2008.03788v1

    • [cs.CV]Forget About the LiDAR: Self-Supervised Depth Estimators with MED Probability Volumes
    Juan Luis Gonzalez, Munchurl Kim
    http://arxiv.org/abs/2008.03633v1

    • [cs.CV]Forming Local Intersections of Projections for Classifying and Searching Histopathology Images
    Aditya Sriram, Shivam Kalra, Morteza Babaie, Brady Kieffer, Waddah Al Drobi, Shahryar Rahnamayan, Hany Kashani, Hamid R. Tizhoosh
    http://arxiv.org/abs/2008.03553v1

    • [cs.CV]From Rain Removal to Rain Generation
    Hong Wang, Zongsheng Yue, Qi Xie, Qian Zhao, Deyu Meng
    http://arxiv.org/abs/2008.03580v1

    • [cs.CV]From depth image to semantic scene synthesis through point cloud classification and labeling: Application to assistive systems
    Chayma Zatout, Slimane Larabi
    http://arxiv.org/abs/2008.03685v1

    • [cs.CV]Fully Automated Photogrammetric Data Segmentation and Object Information Extraction Approach for Creating Simulation Terrain
    Meida Chen, Andrew Feng, Kyle McCullough, Pratusha Bhuvana Prasad, Ryan McAlinden, Lucio Soibelman, Mike Enloe
    http://arxiv.org/abs/2008.03697v1

    • [cs.CV]HAPI: Hardware-Aware Progressive Inference
    Stefanos Laskaridis, Stylianos I. Venieris, Hyeji Kim, Nicholas D. Lane
    http://arxiv.org/abs/2008.03997v1

    • [cs.CV]HASeparator: Hyperplane-Assisted Softmax
    Ioannis Kansizoglou, Nicholas Santavas, Loukas Bampis, Antonios Gasteratos
    http://arxiv.org/abs/2008.03539v1

    • [cs.CV]Hard Class Rectification for Domain Adaptation
    Zhang Yunlong, Jing Changxing, Lin Huangxing, Chen Chaoqi, Huang Yue, Ding Xinghao, Zou Yang
    http://arxiv.org/abs/2008.03455v1

    • [cs.CV]Hard Negative Samples Emphasis Tracker without Anchors
    Zhongzhou Zhang, Lei Zhang
    http://arxiv.org/abs/2008.03512v1

    • [cs.CV]Hierarchical Bi-Directional Feature Perception Network for Person Re-Identification
    Zhipu Liu, Lei Zhang, Yang Yang
    http://arxiv.org/abs/2008.03509v1

    • [cs.CV]How Trustworthy are the Existing Performance Evaluations for Basic Vision Tasks?
    Hamid Rezatofighi, Tran Thien Dat Nguyen, Ba-Ngu Vo, Ba-Tuong Vo, Silvio Savarese, Ian Reid
    http://arxiv.org/abs/2008.03533v1

    • [cs.CV]Hybrid Score- and Rank-level Fusion for Person Identification using Face and ECG Data
    Thomas Truong, Jonathan Graf, Svetlana Yanushkevich
    http://arxiv.org/abs/2008.03353v1

    • [cs.CV]I2L-MeshNet: Image-to-Lixel Prediction Network for Accurate 3D Human Pose and Mesh Estimation from a Single RGB Image
    Gyeongsik Moon, Kyoung Mu Lee
    http://arxiv.org/abs/2008.03713v1

    • [cs.CV]IF-Net: An Illumination-invariant Feature Network
    Po-Heng Chen, Zhao-Xu Luo, Zu-Kuan Huang, Chun Yang, Kuan-Wen Chen
    http://arxiv.org/abs/2008.03897v1

    • [cs.CV]Improved Adaptive Type-2 Fuzzy Filter with Exclusively Two Fuzzy Membership Function for Filtering Salt and Pepper Noise
    Vikas Singh, Pooja Agrawal, Teena Sharma, Nishchal K. Verma
    http://arxiv.org/abs/2008.04114v1

    • [cs.CV]Incomplete Descriptor Mining with Elastic Loss for Person Re-Identification
    Hongchen Tan, Yuhao Bian, Huasheng Wang, Xiuping Liu, Baocai Yin
    http://arxiv.org/abs/2008.04010v1

    • [cs.CV]Invertible Neural BRDF for Object Inverse Rendering
    Zhe Chen, Shohei Nobuhara, Ko Nishino
    http://arxiv.org/abs/2008.04030v1

    • [cs.CV]LPMNet: Latent Part Modification and Generation for 3D Point Clouds
    Cihan Öngün, Alptekin Temizel
    http://arxiv.org/abs/2008.03560v1

    • [cs.CV]Labels Are Not Perfect: Improving Probabilistic Object Detection via Label Uncertainty
    Di Feng, Lars Rosenbaum, Fabian Timm, Klaus Dietmayer
    http://arxiv.org/abs/2008.04168v1

    • [cs.CV]Lane Detection Model Based on Spatio-Temporal Network with Double ConvGRUs
    Jiyong Zhang, Tao Deng, Fei Yan, Wenbo Liu
    http://arxiv.org/abs/2008.03922v1

    • [cs.CV]Learning CNN filters from user-drawn image markers for coconut-tree image classification
    Itaalos Estilon de Souza, Alexandre X. Falcão
    http://arxiv.org/abs/2008.03549v1

    • [cs.CV]Learning Consistency Pursued Correlation Filters for Real-Time UAV Tracking
    Changhong Fu, Xiaoxiao Yang, Fan Li, Juntao Xu, Changjing Liu, Peng Lu
    http://arxiv.org/abs/2008.03704v1

    • [cs.CV]LiDAR Data Enrichment Using Deep Learning Based on High-Resolution Image: An Approach to Achieve High-Performance LiDAR SLAM Using Low-cost LiDAR
    Jiang Yue, Weisong Wen, Jing Han, Li-Ta Hsu
    http://arxiv.org/abs/2008.03694v1

    • [cs.CV]MHSA-Net: Multi-Head Self-Attention Network for Occluded Person Re-Identification
    Hongchen Tan, Xiuping Liu, Shengjing Tian, Baocai Yin, Xin Li
    http://arxiv.org/abs/2008.04015v1

    • [cs.CV]Measuring shape relations using r-parallel sets
    Hans JT Stephensen, Anne Marie Svane, Carlos Benitez, Steven A. Goldman, Jon Sporring
    http://arxiv.org/abs/2008.03927v1

    • [cs.CV]Meta Feature Modulator for Long-tailed Recognition
    Renzhen Wang, Kaiqin Hu, Yanwen Zhu, Jun Shu, Qian Zhao, Deyu Meng
    http://arxiv.org/abs/2008.03428v1

    • [cs.CV]Multimodal Image-to-Image Translation via Mutual Information Estimation and Maximization
    Zhiwen Zuo, Qijiang Xu, Huiming Zhang, Zhizhong Wang, Haibo Chen, Ailin Li, Lei Zhao, Wei Xing, Dongming Lu
    http://arxiv.org/abs/2008.03529v1

    • [cs.CV]NASB: Neural Architecture Search for Binary Convolutional Neural Networks
    Baozhou Zhu, Zaid Al-Ars, Peter Hofstee
    http://arxiv.org/abs/2008.03515v1

    • [cs.CV]Neural Light Transport for Relighting and View Synthesis
    Xiuming Zhang, Sean Fanello, Yun-Ta Tsai, Tiancheng Sun, Tianfan Xue, Rohit Pandey, Sergio Orts-Escolano, Philip Davidson, Christoph Rhemann, Paul Debevec, Jonathan T. Barron, Ravi Ramamoorthi, William T. Freeman
    http://arxiv.org/abs/2008.03806v1

    • [cs.CV]Neural Reflectance Fields for Appearance Acquisition
    Sai Bi, Zexiang Xu, Pratul Srinivasan, Ben Mildenhall, Kalyan Sunkavalli, Miloš Hašan, Yannick Hold-Geoffroy, David Kriegman, Ravi Ramamoorthi
    http://arxiv.org/abs/2008.03824v1

    • [cs.CV]Nighttime Dehazing with a Synthetic Benchmark
    Jing Zhang, Yang Cao, Zheng-Jun Zha, Dacheng Tao
    http://arxiv.org/abs/2008.03864v1

    • [cs.CV]Online Extrinsic Camera Calibration for Temporally Consistent IPM Using Lane Boundary Observations with a Lane Width Prior
    Jeong-Kyun Lee, Young-Ki Baik, Hankyu Cho, Seungwoo Yoo
    http://arxiv.org/abs/2008.03722v1

    • [cs.CV]Online Multi-modal Person Search in Videos
    Jiangyue Xia, Anyi Rao, Qingqiu Huang, Linning Xu, Jiangtao Wen, Dahua Lin
    http://arxiv.org/abs/2008.03546v1

    • [cs.CV]PAN: Towards Fast Action Recognition via Learning Persistence of Appearance
    Can Zhang, Yuexian Zou, Guang Chen, Lei Gan
    http://arxiv.org/abs/2008.03462v1

    • [cs.CV]Projected-point-based Segmentation: A New Paradigm for LiDAR Point Cloud Segmentation
    Shijie Li, Yun Liu, Juergen Gall
    http://arxiv.org/abs/2008.03928v1

    • [cs.CV]Prototype Mixture Models for Few-shot Semantic Segmentation
    Boyu Yang, Chang Liu, Bohao Li, Jianbin Jiao, Qixiang Ye
    http://arxiv.org/abs/2008.03898v1

    • [cs.CV]RPT: Learning Point Set Representation for Siamese Visual Tracking
    Ziang Ma, Linyuan Wang, Haitao Zhang, Wei Lu, Jun Yin
    http://arxiv.org/abs/2008.03467v1

    • [cs.CV]Radar-based Dynamic Occupancy Grid Mapping and Object Detection
    Christopher Diehl, Eduard Feicho, Alexander Schwambach, Thomas Dammeier, Eric Mares, Torsten Bertram
    http://arxiv.org/abs/2008.03696v1

    • [cs.CV]Recurrent Feature Reasoning for Image Inpainting
    Jingyuan Li, Ning Wang, Lefei Zhang, Bo Du, Dacheng Tao
    http://arxiv.org/abs/2008.03737v1

    • [cs.CV]Richly Activated Graph Convolutional Network for Robust Skeleton-based Action Recognition
    Yi-Fan Song, Zhang Zhang, Caifeng Shan, Liang Wang
    http://arxiv.org/abs/2008.03791v1

    • [cs.CV]Road Segmentation for Remote Sensing Images using Adversarial Spatial Pyramid Networks
    Pourya Shamsolmoali, Masoumeh Zareapoor, Huiyu Zhou, Ruili Wang, Jie Yang
    http://arxiv.org/abs/2008.04021v1

    • [cs.CV]RocNet: Recursive Octree Network for Efficient 3D Deep Representation
    Juncheng Liu, Steven Mills, Brendan McCane
    http://arxiv.org/abs/2008.03875v1

    • [cs.CV]SOFA-Net: Second-Order and First-order Attention Network for Crowd Counting
    Haoran Duan, Shidong Wang, Yu Guan
    http://arxiv.org/abs/2008.03723v1

    • [cs.CV]Self-Supervised Learning of Audio-Visual Objects from Video
    Triantafyllos Afouras, Andrew Owens, Joon Son Chung, Andrew Zisserman
    http://arxiv.org/abs/2008.04237v1

    • [cs.CV]SemEval-2020 Task 8: Memotion Analysis — The Visuo-Lingual Metaphor!
    Chhavi Sharma, Deepesh Bhageria, William Scott, Srinivas PYKL, Amitava Das, Tanmoy Chakraborty, Viswanath Pulabaigari, Bjorn Gamback
    http://arxiv.org/abs/2008.03781v1

    • [cs.CV]Single-Shot Two-Pronged Detector with Rectified IoU Loss
    Keyang Wang, Lei Zhang
    http://arxiv.org/abs/2008.03511v1

    • [cs.CV]Spatiotemporal Contrastive Video Representation Learning
    Rui Qian, Tianjian Meng, Boqing Gong, Ming-Hsuan Yang, Huisheng Wang, Serge Belongie, Yin Cui
    http://arxiv.org/abs/2008.03800v1

    • [cs.CV]SynDistNet: Self-Supervised Monocular Fisheye Camera Distance Estimation Synergized with Semantic Segmentation for Autonomous Driving
    Varun Ravi Kumar, Marvin Klingner, Senthil Yogamani, Stefan Milz, Tim Fingscheidt, Patrick Maeder
    http://arxiv.org/abs/2008.04017v1

    • [cs.CV]T-GD: Transferable GAN-generated Images Detection Framework
    Hyeonseong Jeon, Youngoh Bang, Junyaup Kim, Simon S. Woo
    http://arxiv.org/abs/2008.04115v1

    • [cs.CV]Towards Lossless Binary Convolutional Neural Networks Using Piecewise Approximation
    Baozhou Zhu Zaid Al-Ars, Wei Pan
    http://arxiv.org/abs/2008.03520v1

    • [cs.CV]Tracking in Crowd is Challenging: Analyzing Crowd based on Physical Characteristics
    Constantinou Miti, Demetriou Zatte, Siraj Sajid Gondal
    http://arxiv.org/abs/2008.03614v1

    • [cs.CV]Two-branch Recurrent Network for Isolating Deepfakes in Videos
    Iacopo Masi, Aditya Killekar, Royston Marian Mascarenhas, Shenoy Pratik Gurudatt, Wael AbdAlmageed
    http://arxiv.org/abs/2008.03412v1

    • [cs.CV]Unravelling Small Sample Size Problems in the Deep Learning World
    Rohit Keshari, Soumyadeep Ghosh, Saheb Chhabra, Mayank Vatsa, Richa Singh
    http://arxiv.org/abs/2008.03522v1

    • [cs.CV]Unsupervised Deep-Learning Based Deformable Image Registration: A Bayesian Framework
    Samah Khawaled, Moti Freiman
    http://arxiv.org/abs/2008.03949v1

    • [cs.CV]Unsupervised Feature Learning by Cross-Level Discrimination between Instances and Groups
    Xudong Wang, Ziwei Liu, Stella X. Yu
    http://arxiv.org/abs/2008.03813v1

    • [cs.CV]Using UNet and PSPNet to explore the reusability principle of CNN parameters
    Wei Wang
    http://arxiv.org/abs/2008.03414v1

    • [cs.CV]VPC-Net: Completion of 3D Vehicles from MLS Point Clouds
    Yan Xia, Yusheng Xu, Cheng Wang, Uwe Stilla
    http://arxiv.org/abs/2008.03404v1

    • [cs.CV]Vision Meets Wireless Positioning: Effective Person Re-identification with Recurrent Context Propagation
    Yiheng Liu, Wengang Zhou, Mao Xi, Sanjing Shen, Houqiang Li
    http://arxiv.org/abs/2008.04146v1

    • [cs.CY]A novel hand-held interface supporting the self-management of Type 1 diabetes
    Robert Spence, Chukwuma Uduku, Kezhi Li, Nick Oliver, Pantelis Georgiou
    http://arxiv.org/abs/2008.03550v1

    • [cs.CY]Agricultural Knowledge Management Using Smart Voice Messaging Systems: Combination of Physical and Human Sensors
    Naoshi Uchihira, Masami Yoshida
    http://arxiv.org/abs/2008.03711v1

    • [cs.CY]Anxiety Detection Leveraging Mobile Passive Sensing
    Lionel Levine, Migyeong Gwak, Kimmo Karkkainen, Shayan Fazeli, Bita Zadeh, Tara Peris, Alexander Young, Majid Sarrafzadeh
    http://arxiv.org/abs/2008.03810v1

    • [cs.CY]COVID19 Tracking: An Interactive Tracking, Visualizing and Analyzing Platform
    Zhou Yang, Jiwei Xu, Zhenhe Pan, Fang Jin
    http://arxiv.org/abs/2008.04285v1

    • [cs.CY]Mining and Analyzing Patron’s Book-Loan Data and University Data to Understand Library Use Patterns
    Tipawan Silwattananusarn, Pachisa Kulkanjanapiban
    http://arxiv.org/abs/2008.03545v1

    • [cs.CY]PolicyKit: Building Governance in Online Communities
    Amy X. Zhang, Grant Hugh, Michael S. Bernstein
    http://arxiv.org/abs/2008.04236v1

    • [cs.CY]Service Ecosystem: A Lens of Smart Society
    Xiao Xue, ZhiYong Feng, ShiZhan Chen, ZhangBing Zhou, ChengZhi Qin, Bing Li, ZhongJie Wang, Bin Hu, HongYue Wu, ShuFang Wang, Lu Zhang
    http://arxiv.org/abs/2008.03418v1

    • [cs.CY]Tactics for Internal Compliance: A Literature Review
    Ralph Foorthuis
    http://arxiv.org/abs/2008.03775v1

    • [cs.CY]The perceptions of social and information privacy risks of Inflammatory Bowel Disease patients using social media platforms for health-related support
    Kate O’Leary, Elvira Perez Vallejos, Neil Coulson, Derek McAuley
    http://arxiv.org/abs/2008.03541v1

    • [cs.CY]Using social media to measure demographic responses to natural disaster: Insights from a large-scale Facebook survey following the 2019 Australia Bushfires
    Paige Maas, Zack Almquist, Eugenia Giraudy, JW Schneider
    http://arxiv.org/abs/2008.03665v1

    • [cs.DC]BSF: a parallel computation model for scalability estimation of iterative numerical algorithms on cluster computing systems
    Leonid B. Sokolinsky
    http://arxiv.org/abs/2008.03485v1

    • [cs.DC]Coloring Fast Without Learning Your Neighbors’ Colors
    Magnus M. Halldorsson, Fabian Kuhn, Yannic Maus, Alexandre Nolin
    http://arxiv.org/abs/2008.04303v1

    • [cs.DC]Communication Efficient Self-Stabilizing Leader Election (Full Version)
    Xavier Défago, Yuval Emek, Shay Kutten, Toshimitsu Masuzawa, Yasumasa Tamura
    http://arxiv.org/abs/2008.04252v1

    • [cs.DC]Concurrent Fixed-Size Allocation and Free in Constant Time
    Guy E. Blelloch, Yuanhao Wei
    http://arxiv.org/abs/2008.04296v1

    • [cs.DC]ConnectIt: A Framework for Static and Incremental Parallel Graph Connectivity Algorithms
    Laxman Dhulipala, Changwan Hong, Julian Shun
    http://arxiv.org/abs/2008.03909v1

    • [cs.DC]Improved Bounds for Distributed Load Balancing
    Sepehr Assadi, Aaron Bernstein, Zachary Langley
    http://arxiv.org/abs/2008.04148v1

    • [cs.DC]Making Byzantine Consensus Live (Extended Version)
    Manuel Bravo, Gregory Chockler, Alexey Gotsman
    http://arxiv.org/abs/2008.04167v1

    • [cs.DC]Scission: Context-aware and Performance-driven Edge-based Distributed Deep Neural Networks
    Luke Lockhart, Paul Harvey, Pierre Imai, Peter Willis, Blesson Varghese
    http://arxiv.org/abs/2008.03523v1

    • [cs.DC]Towards a Reference Architecture Model for Industrial Edge Computing
    Alexander Willner, Varun Gowtham
    http://arxiv.org/abs/2008.04164v1

    • [cs.DC]TransForm: Formally Specifying Transistency Models and Synthesizing Enhanced Litmus Tests
    Naorin Hossain, Caroline Trippel, Margaret Martonosi
    http://arxiv.org/abs/2008.03578v1

    • [cs.DL]Navigating the landscape of COVID-19 research through literature analysis: A bird’s eye view
    Lana Yeganova, Rezarta Islamaj, Qingyu Chen, Robert Leaman, Alexis Allot, Chin-Hsuan Wei, Donald C. Comeau, Won Kim, Yifan Peng, W. John Wilbur, Zhiyong Lu
    http://arxiv.org/abs/2008.03397v1

    • [cs.DL]The Role of Positive and Negative Citations in Scientific Evaluation
    Xiaomei Bai, Ivan Lee, Zhaolong Ning, Amr Tolba, Feng Xia
    http://arxiv.org/abs/2008.03844v1

    • [cs.GR]Accelerating Evolutionary Construction Tree Extraction via Graph Partitioning
    Markus Friedrich, Sebastian Feld, Thomy Phan, Pierre-Alain Fayolle
    http://arxiv.org/abs/2008.03669v1

    • [cs.HC]Social Interactions Clustering MOOC Students: An Exploratory Study
    Lei Shi, Alexandra Cristea, Ahmad Alamri, Armando M. Toda, Wilk Oliveira
    http://arxiv.org/abs/2008.03982v1

    • [cs.IR]Analysing the Effect of Clarifying Questions on Document Ranking in Conversational Search
    Antonios Minas Krasakis, Mohammad Aliannejadi, Nikos Voskarides, Evangelos Kanoulas
    http://arxiv.org/abs/2008.03717v1

    • [cs.IR]Beyond Lexical: A Semantic Retrieval Framework for Textual SearchEngine
    Kuan Fang, Long Zhao, Zhan Shen, RuiXing Wang, RiKang Zhour, LiWen Fan
    http://arxiv.org/abs/2008.03917v1

    • [cs.IR]Diverse Group Formation Based on Multiple Demographic Features
    Mohammed Alqahtani, Susan Gauch, Omar Salman, Mohammed Ibrahim, Reem Al-Saffar
    http://arxiv.org/abs/2008.03808v1

    • [cs.IR]Partially Synthetic Data for Recommender Systems: Prediction Performance and Preference Hiding
    Manel Slokom, Martha Larson, Alan Hanjalic
    http://arxiv.org/abs/2008.03797v1

    • [cs.IR]Path-Based Reasoning over Heterogeneous Networks for Recommendation via Bidirectional Modeling
    Junwei Zhang, Min Gao, Junliang Yu, Linda Yang, Zongwei Wang, Qingyu Xiong
    http://arxiv.org/abs/2008.04185v1

    • [cs.IT]A Full Second-Order Analysis of the Widely Linear MVDR Beamformer for Noncircular Signals
    Zhe Li, Rui Pu, Yili Xia, Wenjiang Pei, Danilo P. Mandic
    http://arxiv.org/abs/2008.04145v1

    • [cs.IT]Deep Learning for Joint Channel Estimation and Signal Detection in OFDM Systems
    Xuemei Yi, Caijun Zhong
    http://arxiv.org/abs/2008.03977v1

    • [cs.IT]Double Blind $T$-Private Information Retrieval
    Yuxiang Lu, Zhuqing Jia, Syed A. Jafar
    http://arxiv.org/abs/2008.03828v1

    • [cs.IT]Fundamental Limits of Caching for Demand Privacy against Colluding Users
    Qifa Yan, Daniela Tuninetti
    http://arxiv.org/abs/2008.03642v1

    • [cs.IT]New Constructions of MDS Twisted Reed-Solomon Codes and LCD MDS Codes
    Hongwei Liu, Shengwei Liu
    http://arxiv.org/abs/2008.03708v1

    • [cs.IT]Opportunistic Cooperation Strategies for Multiple Access Relay Channels with Compute-and-Forward
    Mohammad Nur Hasan, Brian M. Kurkoski
    http://arxiv.org/abs/2008.03437v1

    • [cs.IT]Parameter estimation in the SIR model from early infections
    Charles Clum, Dustin G. Mixon
    http://arxiv.org/abs/2008.04286v1

    • [cs.IT]Robust Design for NOMA-based Multi-Beam LEO Satellite Internet of Things
    Jianhang Chu, Xiaoming Chen, Caijun Zhong, Zhaoyang Zhang
    http://arxiv.org/abs/2008.03868v1

    • [cs.IT]Sketching semidefinite programs for faster clustering
    Dustin G. Mixon, Kaiying Xie
    http://arxiv.org/abs/2008.04270v1

    • [cs.LG]A Novel Community Detection Based Genetic Algorithm for Feature Selection
    Mehrdad Rostami, Kamal Berahmand, Saman Forouzandeh
    http://arxiv.org/abs/2008.03543v1

    • [cs.LG]A Survey on Large-scale Machine Learning
    Meng Wang, Weijie Fu, Xiangnan He, Shijie Hao, Xindong Wu
    http://arxiv.org/abs/2008.03911v1

    • [cs.LG]A novel residual whitening based training to avoid overfitting
    Anand Ramakrishnan, Warren B. Jackson, Kent Evans
    http://arxiv.org/abs/2008.03582v1

    • [cs.LG]ARCADe: A Rapid Continual Anomaly Detector
    Ahmed Frikha, Denis Krompaß, Volker Tresp
    http://arxiv.org/abs/2008.04042v1

    • [cs.LG]Automatic Remaining Useful Life Estimation Framework with Embedded Convolutional LSTM as the Backbone
    Yexu Zhou, Yuting Gao, Yiran Huang, Michael Hefenbrock, Till Riedel, Michael Beigl
    http://arxiv.org/abs/2008.03961v1

    • [cs.LG]Comparative Analysis of the Hidden Markov Model and LSTM: A Simulative Approach
    Manie Tadayon, Greg Pottie
    http://arxiv.org/abs/2008.03825v1

    • [cs.LG]Concept Drift Detection: Dealing with MissingValues via Fuzzy Distance Estimations
    Anjin Liu, Jie Lu, Guangquan Zhang
    http://arxiv.org/abs/2008.03662v1

    • [cs.LG]EagerPy: Writing Code That Works Natively with PyTorch, TensorFlow, JAX, and NumPy
    Jonas Rauber, Matthias Bethge, Wieland Brendel
    http://arxiv.org/abs/2008.04175v1

    • [cs.LG]Feature Ranking for Semi-supervised Learning
    Matej Petković, Sašo Džeroski, Dragi Kocev
    http://arxiv.org/abs/2008.03937v1

    • [cs.LG]GPU-Accelerated Primal Learning for Extremely Fast Large-Scale Classification
    John T. Halloran, David M. Rocke
    http://arxiv.org/abs/2008.03433v1

    • [cs.LG]HOLMES: Health OnLine Model Ensemble Serving for Deep Learning Models in Intensive Care Units
    Shenda Hong, Yanbo Xu, Alind Khare, Satria Priambada, Kevin Maher, Alaa Aljiffry, Jimeng Sun, Alexey Tumanov
    http://arxiv.org/abs/2008.04063v1

    • [cs.LG]Improving the Speed and Quality of GAN by Adversarial Training
    Jiachen Zhong, Xuanqing Liu, Cho-Jui Hsieh
    http://arxiv.org/abs/2008.03364v1

    • [cs.LG]Informative Dropout for Robust Representation Learning: A Shape-bias Perspective
    Baifeng Shi, Dinghuai Zhang, Qi Dai, Zhanxing Zhu, Yadong Mu, Jingdong Wang
    http://arxiv.org/abs/2008.04254v1

    • [cs.LG]Intelligent Matrix Exponentiation
    Thomas Fischbacher, Iulia M. Comsa, Krzysztof Potempa, Moritz Firsching, Luca Versari, Jyrki Alakuijala
    http://arxiv.org/abs/2008.03936v1

    • [cs.LG]Learning to Detect Bipolar Disorder and Borderline Personality Disorder with Language and Speech in Non-Clinical Interviews
    Bo Wang, Yue Wu, Niall Taylor, Terry Lyons, Maria Liakata, Alejo J Nevado-Holgado, Kate E A Saunders
    http://arxiv.org/abs/2008.03408v1

    • [cs.LG]Lenient Regret for Multi-Armed Bandits
    Nadav Merlis, Shie Mannor
    http://arxiv.org/abs/2008.03959v1

    • [cs.LG]Lie PCA: Density estimation for symmetric manifolds
    Jameson Cahill, Dustin G. Mixon, Hans Parshall
    http://arxiv.org/abs/2008.04278v1

    • [cs.LG]LotteryFL: Personalized and Communication-Efficient Federated Learning with Lottery Ticket Hypothesis on Non-IID Datasets
    Ang Li, Jingwei Sun, Binghui Wang, Lin Duan, Sicheng Li, Yiran Chen, Hai Li
    http://arxiv.org/abs/2008.03371v1

    • [cs.LG]Mime: Mimicking Centralized Stochastic Algorithms in Federated Learning
    Sai Praneeth Karimireddy, Martin Jaggi, Satyen Kale, Mehryar Mohri, Sashank J. Reddi, Sebastian U. Stich, Ananda Theertha Suresh
    http://arxiv.org/abs/2008.03606v1

    • [cs.LG]Non-Adversarial Imitation Learning and its Connections to Adversarial Methods
    Oleg Arenz, Gerhard Neumann
    http://arxiv.org/abs/2008.03525v1

    • [cs.LG]Nyström Approximation with Nonnegative Matrix Factorization
    Yongquan Fu
    http://arxiv.org/abs/2008.03399v1

    • [cs.LG]Partitioning signal classes using transport transforms for data analysis and machine learning
    Akram Aldroubi, Shiying Li, Gustavo K. Rohde
    http://arxiv.org/abs/2008.03452v1

    • [cs.LG]RARTS: a Relaxed Architecture Search Method
    Fanghui Xue, Yingyong Qi, Jack Xin
    http://arxiv.org/abs/2008.03901v1

    • [cs.LG]Review of Swarm Intelligence-based Feature Selection Methods
    Mehrdad Rostami, Kamal Berahmand, Saman Forouzandeh
    http://arxiv.org/abs/2008.04103v1

    • [cs.LG]Testing Determinantal Point Processes
    Khashayar Gatmiry, Maryam Aliakbarpour, Stefanie Jegelka
    http://arxiv.org/abs/2008.03650v1

    • [cs.LG]Using Experts’ Opinions in Machine Learning Tasks
    Amir Fazelinia, Issa Annamoradnejad, Jafar Habibi
    http://arxiv.org/abs/2008.04216v1

    • [cs.LG]What Neural Networks Memorize and Why: Discovering the Long Tail via Influence Estimation
    Vitaly Feldman, Chiyuan Zhang
    http://arxiv.org/abs/2008.03703v1

    • [cs.LG]Why to “grow” and “harvest” deep learning models?
    Ilona Kulikovskikh, Tarzan Legović
    http://arxiv.org/abs/2008.03501v1

    • [cs.LO]Proof-Carrying Plans: a Resource Logic for AI Planning
    Alasdair Hill, Ekaterina Komendantskaya, Ronald P. A. Petrick
    http://arxiv.org/abs/2008.04165v1

    • [cs.NE]DIET-SNN: Direct Input Encoding With Leakage and Threshold Optimization in Deep Spiking Neural Networks
    Nitin Rathi, Kaushik Roy
    http://arxiv.org/abs/2008.03658v1

    • [cs.NE]Extended Particle Swarm Optimization (EPSO) for Feature Selection of High Dimensional Biomedical Data
    Ali Hakem Alsaeedi, Adil L. Albukhnefis, Dhiah Al-Shammary, Muntasir Al-Asfoor
    http://arxiv.org/abs/2008.03530v1

    • [cs.NE]Lights and Shadows in Evolutionary Deep Learning: Taxonomy, Critical Methodological Analysis, Cases of Study, Learned Lessons, Recommendations and Challenges
    Aritz D. Martinez, Javier Del Ser, Esther Villar-Rodriguez, Eneko Osaba, Javier Poyatos, Siham Tabik, Daniel Molina, Francisco Herrera
    http://arxiv.org/abs/2008.03620v1

    • [cs.NE]Protein Structured Reservoir computing for Spike-based Pattern Recognition
    Karolos-Alexandros Tsakalos, Georgios Ch. Sirakoulis, Andrew Adamatzky, Jim Smith
    http://arxiv.org/abs/2008.03330v1

    • [cs.NE]Spatial Sharing of GPU for Autotuning DNN models
    Aditya Dhakal, Junguk Cho, Sameer G. Kulkarni, K. K. Ramakrishnan, Puneet Sharma
    http://arxiv.org/abs/2008.03602v1

    • [cs.NE]Using Neural Networks and Diversifying Differential Evolution for Dynamic Optimisation
    Maryam Hasani Shoreh, Renato Hermoza Aragonés, Frank Neumann
    http://arxiv.org/abs/2008.04002v1

    • [cs.NE]Visual Pattern Recognition with on On-chip Learning: towards a Fully Neuromorphic Approach
    Sandro Baumgartner, Alpha Renner, Raphaela Kreiser, Dongchen Liang, Giacomo Indiveri, Yulia Sandamirskaya
    http://arxiv.org/abs/2008.03470v1

    • [cs.PL]Code Building Genetic Programming
    Edward Pantridge, Lee Spector
    http://arxiv.org/abs/2008.03649v1

    • [cs.RO]Can I lift it? Humanoid robot reasoning about the feasibility of lifting a heavy box with unknown physical properties
    Yuanfeng Han, Ruixin Li, Gregory S. Chirikjian
    http://arxiv.org/abs/2008.03801v1

    • [cs.RO]Contact-Rich Trajectory Generation in Confined Environments Using Iterative Convex Optimization
    Weiye Zhao, Suqin He, Chengtao Wen, Changliu Liu
    http://arxiv.org/abs/2008.03826v1

    • [cs.RO]Cyrus 2D Simulation Team Description Paper2018
    Nader Zare, Mohsen Sadeghipour, Ashkan Keshavarzi, Mahtab Sarvmaili, Amin Nikanjam, Reza Aghayari, Arad Firouzkoohi, Mohammad Abolnejad, Sina Elahimanesh, Amin Akhgari
    http://arxiv.org/abs/2008.03456v1

    • [cs.RO]Fisher Information Field: an Efficient and Differentiable Map for Perception-aware Planning
    Zichao Zhang, Davide Scaramuzza
    http://arxiv.org/abs/2008.03324v1

    • [cs.RO]Imitation Learning for Autonomous Trajectory Learning of Robot Arms in Space
    RB Ashith Shyam, Zhou Hao, Umberto Montanaro, Gerhard Neumann
    http://arxiv.org/abs/2008.04007v1

    • [cs.RO]Learning-Based Safety-Stability-Driven Control for Safety-Critical Systems under Model Uncertainties
    Lei Zheng, Jiesen Pan, Rui Yang, Hui Cheng, Haifeng Hu
    http://arxiv.org/abs/2008.03421v1

    • [cs.RO]Multimodal Deep Generative Models for Trajectory Prediction: A Conditional Variational Autoencoder Approach
    Boris Ivanovic, Karen Leung, Edward Schmerling, Marco Pavone
    http://arxiv.org/abs/2008.03880v1

    • [cs.RO]Neural Manipulation Planning on Constraint Manifolds
    Ahmed H. Qureshi, Jiangeng Dong, Austin Choe, Michael C. Yip
    http://arxiv.org/abs/2008.03787v1

    • [cs.RO]TGK-Planner: An Efficient Topology Guided Kinodynamic Planner for Autonomous Quadrotors
    Hongkai Ye, Xin Zhou, Chao Xu, Jian Chu, Fei Gao
    http://arxiv.org/abs/2008.03468v1

    • [cs.RO]The Importance and the Limitations of Sim2Real for Robotic Manipulation in Precision Agriculture
    Carlo Rizzardo, Sunny Katyara, Miguel Fernandes, Fei Chen
    http://arxiv.org/abs/2008.03983v1

    • [cs.RO]TriFinger: An Open-Source Robot for Learning Dexterity
    Manuel Wüthrich, Felix Widmaier, Felix Grimminger, Joel Akpo, Shruti Joshi, Vaibhav Agrawal, Bilal Hammoud, Majid Khadiv, Miroslav Bogdanovic, Vincent Berenz, Julian Viereck, Maximilien Naveau, Ludovic Righetti, Bernhard Schölkopf, Stefan Bauer
    http://arxiv.org/abs/2008.03596v1

    • [cs.RO]Variable Stiffness Control with Strict Frequency Domain Constraints for Physical Human-Robot Interaction
    Wulin Zou, Pu Duan, Yawen Chen, Ningbo Yu, Ling Shi
    http://arxiv.org/abs/2008.03663v1

    • [cs.SD]A Novel Method for Obtaining Diffuse Field Measurements for Microphone Calibration
    Noman Akbar, Glenn Dickins, Mark R. P. Thomas, Prasanga Samarasinghe, Thushara Abhayapala
    http://arxiv.org/abs/2008.03513v1

    • [cs.SD]Metric Learning vs Classification for Disentangled Music Representation Learning
    Jongpil Lee, Nicholas J. Bryan, Justin Salamon, Zeyu Jin, Juhan Nam
    http://arxiv.org/abs/2008.03729v1

    • [cs.SI]A Random Growth Model with any Real or Theoretical Degree Distribution
    Frédéric Giroire, Stéphane Pérennes, Thibaud Trolliet
    http://arxiv.org/abs/2008.03831v1

    • [cs.SI]Adversarial Directed Graph Embedding
    Shijie Zhu, Jianxin Li, Hao Peng, Senzhang Wang, Philip S. Yu, Lifang He
    http://arxiv.org/abs/2008.03667v1

    • [cs.SI]Analysing Networks of Networks
    Johan Koskinen, Pete Jones, Darkhan Medeuov, Artem Antonyuk, Kseniia Puzyreva, Nikita Basov
    http://arxiv.org/abs/2008.03692v1

    • [cs.SI]Behavioral Modeling of Persian Instagram Users to detect Bots
    Muhammad Bazm, Masoud Asadpour
    http://arxiv.org/abs/2008.03951v1

    • [cs.SI]Big Networks: A Survey
    Hayat Dino Bedru, Shuo Yu, Xinru Xiao, Da Zhang, Liangtian Wan, He Guo, Feng Xia
    http://arxiv.org/abs/2008.03638v1

    • [cs.SI]Clustering Network Tree Data From Respondent-driven sampling with application to opioid users in New York City
    Shuaimin Kang, Krista Gile, Pedro Mateu-Gelabert, Honoria Guarino
    http://arxiv.org/abs/2008.03604v1

    • [cs.SI]Data-driven Inferences of Agency-level Risk and Response Communication on COVID-19 through Social Media based Interactions
    Md Ashraf Ahmed, Arif Mohaimin Sadri, M. Hadi Amini
    http://arxiv.org/abs/2008.03866v1

    • [cs.SI]Extracting Backbones in Weighted Modular Complex Networks
    Zakariya Ghalmane, Chantal Cherifi, Hocine Cherifi, Mohammed El Hassouni
    http://arxiv.org/abs/2008.03383v1

    • [cs.SI]ISTD-GCN: Iterative Spatial-Temporal Diffusion Graph Convolutional Network for Traffic Speed Forecasting
    Yi Xie, Yun Xiong, Yangyong Zhu
    http://arxiv.org/abs/2008.03970v1

    • [cs.SI]MODEL: Motif-based Deep Feature Learning for Link Prediction
    Lei Wang, Jing Ren, Bo Xu, Jianxin Li, Wei Luo, Feng Xia
    http://arxiv.org/abs/2008.03637v1

    • [cs.SI]Multivariate Relations Aggregation Learning in Social Networks
    Jin Xu, Shuo Yu, Ke Sun, Jing Ren, Ivan Lee, Shirui Pan, Feng Xia
    http://arxiv.org/abs/2008.03654v1

    • [cs.SI]Network Inference from a Mixture of Diffusion Models for Fake News Mitigation
    Karishma Sharma, Xinran He, Sungyong Seo, Yan Liu
    http://arxiv.org/abs/2008.03450v1

    • [cs.SI]Prediction Methods and Applications in the Science of Science: A Survey
    Jie Hou, Hanxiao Pan, Teng Guo, Ivan Lee, Xiangjie Kong, Feng Xia
    http://arxiv.org/abs/2008.03640v1

    • [cs.SI]Random Walks: A Review of Algorithms and Applications
    Feng Xia, Jiaying Liu, Hansong Nie, Yonghao Fu, Liangtian Wan, Xiangjie Kong
    http://arxiv.org/abs/2008.03639v1

    • [cs.SI]Robust Bayesian inference of network structure from unreliable data
    Jean-Gabriel Young, George T. Cantwell, M. E. J. Newman
    http://arxiv.org/abs/2008.03334v1

    • [cs.SI]Storyline Visualizations with Ubiquitous Actors
    Emilio Di Giacomo, Walter Didimo, Giuseppe Liotta, Fabrizio Montecchiani, Alessandra Tappini
    http://arxiv.org/abs/2008.04125v1

    • [econ.EM]Machine Learning Panel Data Regressions with an Application to Nowcasting Price Earnings Ratios
    Andrii Babii, Ryan T. Ball, Eric Ghysels, Jonas Striaukas
    http://arxiv.org/abs/2008.03600v1

    • [econ.EM]Nonparametric prediction with spatial data
    Abhimanyu Gupta, Javier Hidalgo
    http://arxiv.org/abs/2008.04269v1

    • [econ.TH]Purely Bayesian counterfactuals versus Newcomb’s paradox
    Lê Nguyên Hoang
    http://arxiv.org/abs/2008.04256v1

    • [eess.AS]A New Approach to Accent Recognition and Conversion for Mandarin Chinese
    Lin Ai, Shih-Ying Jeng, Homayoon Beigi
    http://arxiv.org/abs/2008.03359v1

    • [eess.AS]Accurate Detection of Wake Word Start and End Using a CNN
    Christin Jose, Yuriy Mishchenko, Thibaud Senechal, Anish Shah, Alex Escott, Shiv Vitaladevuni
    http://arxiv.org/abs/2008.03790v1

    • [eess.AS]Audio Spoofing Verification using Deep Convolutional Neural Networks by Transfer Learning
    Rahul T P, P R Aravind, Ranjith C, Usamath Nechiyil, Nandakumar Paramparambath
    http://arxiv.org/abs/2008.03464v1

    • [eess.AS]Deep F-measure Maximization for End-to-End Speech Understanding
    Leda Sarı, Mark Hasegawa-Johnson
    http://arxiv.org/abs/2008.03425v1

    • [eess.AS]Deep MOS Predictor for Synthetic Speech Using Cluster-Based Modeling
    Yeunju Choi, Youngmoon Jung, Hoirin Kim
    http://arxiv.org/abs/2008.03710v1

    • [eess.AS]Disentangled Multidimensional Metric Learning for Music Similarity
    Jongpil Lee, Nicholas J. Bryan, Justin Salamon, Zeyu Jin, Juhan Nam
    http://arxiv.org/abs/2008.03720v1

    • [eess.AS]Exploring the Use of an Unsupervised Autoregressive Model as a Shared Encoder for Text-Dependent Speaker Verification
    Vijay Ravi, Ruchao Fan, Amber Afshan, Huanhua Lu, Abeer Alwan
    http://arxiv.org/abs/2008.03615v1

    • [eess.AS]Extrapolating false alarm rates in automatic speaker verification
    Alexey Sholokhov, Tomi Kinnunen, Ville Vestman, Kong Aik Lee
    http://arxiv.org/abs/2008.03590v1

    • [eess.AS]JukeBox: A Multilingual Singer Recognition Dataset
    Anurag Chowdhury, Austin Cozzo, Arun Ross
    http://arxiv.org/abs/2008.03507v1

    • [eess.AS]LRSpeech: Extremely Low-Resource Speech Synthesis and Recognition
    Jin Xu, Xu Tan, Yi Ren, Tao Qin, Jian Li, Sheng Zhao, Tie-Yan Liu
    http://arxiv.org/abs/2008.03687v1

    • [eess.AS]Speaker discrimination in humans and machines: Effects of speaking style variability
    Amber Afshan, Jody Kreiman, Abeer Alwan
    http://arxiv.org/abs/2008.03617v1

    • [eess.AS]Speech Driven Talking Face Generation from a Single Image and an Emotion Condition
    Sefik Emre Eskimez, You Zhang, Zhiyao Duan
    http://arxiv.org/abs/2008.03592v1

    • [eess.AS]SpeedySpeech: Efficient Neural Speech Synthesis
    Jan Vainer, Ondřej Dušek
    http://arxiv.org/abs/2008.03802v1

    • [eess.AS]TinySpeech: Attention Condensers for Deep Speech Recognition Neural Networks on Edge Devices
    Alexander Wong, Mahmoud Famouri, Maya Pavlova, Siddharth Surana
    http://arxiv.org/abs/2008.04245v1

    • [eess.AS]VAW-GAN for Singing Voice Conversion with Non-parallel Training Data
    Junchen Lu, Kun Zhou, Berrak Sisman, Haizhou Li
    http://arxiv.org/abs/2008.03992v1

    • [eess.AS]Variable frame rate-based data augmentation to handle speaking-style variability for automatic speaker verification
    Amber Afshan, Jinxi Guo, Soo Jin Park, Vijay Ravi, Alan McCree, Abeer Alwan
    http://arxiv.org/abs/2008.03616v1

    • [eess.AS]Word Error Rate Estimation Without ASR Output: e-WER2
    Ahmed Ali, Steve Renals
    http://arxiv.org/abs/2008.03403v1

    • [eess.IV]A methodology for the measurement of track geometry based on computer vision and inertial sensors
    José L. Escalona
    http://arxiv.org/abs/2008.03763v1

    • [eess.IV]A model-guided deep network for limited-angle computed tomography
    Wei Wang, Xiang-Gen Xia, Chuanjiang He, Zemin Ren, Jian Lu, Tianfu Wang, Baiying Lei
    http://arxiv.org/abs/2008.03988v1

    • [eess.IV]An Explainable 3D Residual Self-Attention Deep Neural Network FOR Joint Atrophy Localization and Alzheimer’s Disease Diagnosis using Structural MRI
    Xin Zhang, Liangxiu Han, Wenyong Zhu, Liang Sun, Daoqiang Zhang
    http://arxiv.org/abs/2008.04024v1

    • [eess.IV]Auto-weighting for Breast Cancer Classification in Multimodal Ultrasound
    Wang Jian, Miao Juzheng, Yang Xin, Li Rui, Zhou Guangquan, Huang Yuhao, Lin Zehui, Xue Wufeng, Jia Xiaohong, Zhou Jianqiao, Huang Ruobing, Ni Dong
    http://arxiv.org/abs/2008.03435v1

    • [eess.IV]Bidirectional Mapping Generative Adversarial Networks for Brain MR to PET Synthesis
    Shengye Hu, Baiying Lei, Yong Wang, Zhiguang Feng, Yanyan Shen, Shuqiang Wang
    http://arxiv.org/abs/2008.03483v1

    • [eess.IV]Complex Grey Matter Structure Segmentation in Brains via Deep Learning: Example of the Claustrum
    Hongwei Li, Aurore Menegaux, Felix JB Bäuerlein, Suprosanna Shit, Benita Schmitz-Koep, Christian Sorg, Bjoern Menze, Dennis Hedderich
    http://arxiv.org/abs/2008.03465v1

    • [eess.IV]Deep Learning from Dual-Energy Information for Whole-Heart Segmentation in Dual-Energy and Single-Energy Non-Contrast-Enhanced Cardiac CT
    Steffen Bruns, Jelmer M. Wolterink, Richard A. P. Takx, Robbert W. van Hamersvelt, Dominika Suchá, Max A. Viergever, Tim Leiner, Ivana Išgum
    http://arxiv.org/abs/2008.03985v1

    • [eess.IV]Dimensionality Reduction via Diffusion Map Improved with Supervised Linear Projection
    Bowen Jiang, Maohao Shen
    http://arxiv.org/abs/2008.03440v1

    • [eess.IV]Encoding Structure-Texture Relation with P-Net for Anomaly Detection in Retinal Images
    Kang Zhou, Yuting Xiao, Jianlong Yang, Jun Cheng, Wen Liu, Weixin Luo, Zaiwang Gu, Jiang Liu, Shenghua Gao
    http://arxiv.org/abs/2008.03632v1

    • [eess.IV]Learning Bloch Simulations for MR Fingerprinting by Invertible Neural Networks
    Fabian Balsiger, Alain Jungo, Olivier Scheidegger, Benjamin Marty, Mauricio Reyes
    http://arxiv.org/abs/2008.04139v1

    • [eess.IV]Low-Light Maritime Image Enhancement with Regularized Illumination Optimization and Deep Noise Suppression
    Yu Guo, Yuxu Lu, Ryan Wen Liu, Meifang Yang, Kwok Tai Chui
    http://arxiv.org/abs/2008.03765v1

    • [eess.IV]Norm-in-Norm Loss with Faster Convergence and Better Performance for Image Quality Assessment
    Dingquan Li, Tingting Jiang, Ming Jiang
    http://arxiv.org/abs/2008.03889v1

    • [eess.IV]Recent Advances and New Guidelines on Hyperspectral and Multispectral Image Fusion
    Renwei Dian, Shutao Li, Bin Sun, Anjing Guo
    http://arxiv.org/abs/2008.03426v1

    • [eess.IV]Representation Learning via Cauchy Convolutional Sparse Coding
    Perla Mayo, Oktay Karakuş, Robin Holmes, Alin Achim
    http://arxiv.org/abs/2008.03473v1

    • [eess.IV]Switching Loss for Generalized Nucleus Detection in Histopathology
    Deepak Anand, Gaurav Patel, Yaman Dang, Amit Sethi
    http://arxiv.org/abs/2008.03750v1

    • [eess.IV]Using PSPNet and UNet to analyze the internal parameter relationship and visualization of the convolutional neural network
    Wei Wang
    http://arxiv.org/abs/2008.03411v1

    • [eess.IV]X-Ray bone abnormalities detection using MURA dataset
    A. Solovyova, I. Solovyov
    http://arxiv.org/abs/2008.03356v1

    • [eess.SP]A Modular Approach for Synchronized Wireless Multimodal Multisensor Data Acquisition in Highly Dynamic Social Settings
    Chirag Raman, Stephanie Tan, Hayley Hung
    http://arxiv.org/abs/2008.03715v1

    • [eess.SP]DFT-spread-OFDM Based Chirp Transmission
    Alphan Sahin, Nozhan Hosseini, Hosseinali Jamal, David W. Matolak
    http://arxiv.org/abs/2008.03766v1

    • [eess.SP]Deep-learning-based precoding in multiuser MIMO downlink channels with limited feedback
    Kyeongbo Kong, Woo-Jin Song, Moonsik Min
    http://arxiv.org/abs/2008.04147v1

    • [eess.SP]Enhance CNN Robustness Against Noises for Classification of 12-Lead ECG with Variable Length
    Linhai Ma, Liang Liang
    http://arxiv.org/abs/2008.03609v1

    • [eess.SP]Robust and Scalable Techniques for TWR and TDoA based localization using Ultra Wide Band Radios
    Rakshit Ramesh, Aaron John-Sabu, Harshitha S, Siddarth Ramesh, Vishwas Navada B, Mukunth Arunachalam, Bharadwaj Amrutur
    http://arxiv.org/abs/2008.04248v1

    • [eess.SP]Rounded Hartley Transform: A Quasi-involution
    R. J. Cintra, H. M. de Oliveira, C. O. Cintra
    http://arxiv.org/abs/2008.03379v1

    • [eess.SP]Two-Stage Clustering of Household Electricity Load Shapes based on Temporal Pattern & Peak Demand
    Milad Afzalan, Farrokh Jazizadeh, Hoda Eldardiry
    http://arxiv.org/abs/2008.04293v1

    • [eess.SP]Viral Aerosol Concentration Characterization and Detection in Bounded Environments
    Osama Amin, Hayssam Dahrouj, Nojood Almayouf, Tareq Y. Al-Naffouri, Basem Shihada, Mohamed-Slim Alouini
    http://arxiv.org/abs/2008.04218v1

    • [eess.SY]Deterministic error bounds for kernel-based learning techniques under bounded noise
    Emilio T. Maddalena, Paul Scharnhorst, Colin N. Jones
    http://arxiv.org/abs/2008.04005v1

    • [eess.SY]From private to public governance: The case for reconfiguring energy systems as a commons
    Chris Giotitsas, Pedro H. J. Nardelli, Vasilis Kostakis, Arun Narayanan
    http://arxiv.org/abs/2008.04028v1

    • [eess.SY]Maneuvering and robustness issues in undirected displacement-consensus-based formation control
    Hector Garcia de Marina
    http://arxiv.org/abs/2008.03544v1

    • [eess.SY]One for Many: Transfer Learning for Building HVAC Control
    Shichao Xu, Yixuan Wang, Yanzhi Wang, Zheng O’Neill, Qi Zhu
    http://arxiv.org/abs/2008.03625v1

    • [hep-ex]Distance-Weighted Graph Neural Networks on FPGAs for Real-Time Particle Reconstruction in High Energy Physics
    Yutaro Iiyama, Gianluca Cerminara, Abhijay Gupta, Jan Kieseler, Vladimir Loncar, Maurizio Pierini, Shah Rukh Qasim, Marcel Rieger, Sioni Summers, Gerrit Van Onsem, Kinga Wozniak, Jennifer Ngadiuba, Giuseppe Di Guglielmo, Javier Duarte, Philip Harris, Dylan Rankin, Sergo Jindariani, Mia Liu, Kevin Pedro, Nhan Tran, Edward Kreinar, Zhenbin Wu
    http://arxiv.org/abs/2008.03601v1

    • [math.CO]On construction and (non)existence of $c$-(almost) perfect nonlinear functions
    Daniele Bartoli, Marco Calderini
    http://arxiv.org/abs/2008.03953v1

    • [math.NA]Generalization error of minimum weighted norm and kernel interpolation
    Weilin Li
    http://arxiv.org/abs/2008.03365v1

    • [math.OC]An improved convergence analysis for decentralized online stochastic non-convex optimization
    Ran Xin, Usman A. Khan, Soummya Kar
    http://arxiv.org/abs/2008.04195v1

    • [math.OC]Convex Q-Learning, Part 1: Deterministic Optimal Control
    Prashant G. Mehta, Sean P. Meyn
    http://arxiv.org/abs/2008.03559v1

    • [math.OC]Risk-Sensitive Markov Decision Processes with Combined Metrics of Mean and Variance
    Li Xia
    http://arxiv.org/abs/2008.03707v1

    • [math.ST]A Note on Likelihood Ratio Tests for Models with Latent Variables
    Yunxiao Chen, Irini Moustaki, Haoran Zhang
    http://arxiv.org/abs/2008.03971v1

    • [math.ST]Efficient Least Squares for Estimating Total Effects under Linearity and Causal Sufficiency
    F. Richard Guo, Emilija Perković
    http://arxiv.org/abs/2008.03481v1

    • [math.ST]Exact log-likelihood for clustering parameterised models and normally distributed data
    Anthony J. Webster
    http://arxiv.org/abs/2008.03974v1

    • [math.ST]Rank-based Estimation under Asymptotic Dependence and Independence, with Applications to Spatial Extremes
    Michaël Lalancette, Sebastian Engelke, Stanislav Volgushev
    http://arxiv.org/abs/2008.03349v1

    • [math.ST]Statistical Query Lower Bounds for Tensor PCA
    Rishabh Dudeja, Daniel Hsu
    http://arxiv.org/abs/2008.04101v1

    • [math.ST]Tracy-Widom distribution for the edge eigenvalues of Gram type random matrices
    Xiucai Ding, Fan Yang
    http://arxiv.org/abs/2008.04166v1

    • [physics.comp-ph]Optimal Bayesian experimental design for subsurface flow problems
    Alexander Tarakanov, Ahmed H. Elsheikh
    http://arxiv.org/abs/2008.03989v1

    • [physics.comp-ph]Representative elementary volume via averaged scalar Minkowski functionals
    M. V. Andreeva, A. V. Kalyuzhnyuk, V. V. Krutko, N. E. Russkikh, I. A. Taimanov
    http://arxiv.org/abs/2008.03727v1

    • [q-bio.NC]When words collide: Bayesian meta-analyses of distractor and target properties in the picture-word interference paradigm
    Audrey Bürki, F. -Xavier Alario, Shravan Vasishth
    http://arxiv.org/abs/2008.03972v1

    • [q-bio.QM]An AI-powered blood test to detect cancer using nanoDSF
    Philipp O. Tsvetkov, Rémi Eyraud, Stéphane Ayache, Anton A. Bougaev, Soazig Malesinski, Hamed Benazha, Svetlana Gorokhova, Christophe Buffat, Caroline Dehais, Marc Sanson, Franck Bielle, Dominique Figarella-Branger, Olivier Chinot, Emeline Tabouret, François Devred
    http://arxiv.org/abs/2008.03493v1

    • [q-bio.QM]Low-Rank Reorganization via Proportional Hazards Non-negative Matrix Factorization Unveils Survival Associated Gene Clusters
    Zhi Huang, Paul Salama, Wei Shao, Jie Zhang, Kun Huang
    http://arxiv.org/abs/2008.03776v1

    • [q-fin.GN]Transparency versus Performance in Financial Markets: The Role of CSR Communications
    Rajiv Kashyap, Mohamed Menisy, Peter Caiazzo, Jim Samuel
    http://arxiv.org/abs/2008.03443v1

    • [quant-ph]Global Optimum Search in Quantum Deep Learning
    Lanston Hau Man Chu, Tejas Bhojraj, Rui Huang
    http://arxiv.org/abs/2008.03655v1

    • [quant-ph]Quantum algorithmic randomness
    Tejas Bhojraj
    http://arxiv.org/abs/2008.03584v1

    • [stat.AP]A New Spatial Count Data Model with Time-varying Parameters
    Prasad Buddhavarapu, Prateek Bansal, Jorge A. Prozzi
    http://arxiv.org/abs/2008.03760v1

    • [stat.AP]A robust and non-parametric model for prediction of dengue incidence
    Atlanta Chakraborty, Vijay Chandru
    http://arxiv.org/abs/2008.03943v1

    • [stat.AP]Scalable model selection for spatial additive mixed modeling: application to crime analysis
    Daisuke Murakami, Mami Kajita, Seiji Kajita
    http://arxiv.org/abs/2008.03551v1

    • [stat.AP]Segmentation analysis and the recovery of queuing parameters via the Wasserstein distance: a study of administrative data for patients with chronic obstructive pulmonary disease
    Henry Wilde, Vincent Knight, Jonathan Gillard, Kendal Smith
    http://arxiv.org/abs/2008.04295v1

    • [stat.AP]Time Fused Coefficient SIR Model with Application to COVID-19 Epidemic in the United States
    Hou-Cheng Yang, Yishu Xue, Yuqing Pan, Qingyang Liu, Guanyu Hu
    http://arxiv.org/abs/2008.04284v1

    • [stat.ME]A potential outcomes approach to selection bias
    Eben Kenah
    http://arxiv.org/abs/2008.03786v1

    • [stat.ME]Community models for partially observed networks from surveys
    Tianxi Li, Elizaveta Levina, Ji Zhu
    http://arxiv.org/abs/2008.03652v1

    • [stat.ME]Covariate Balancing by Uniform Transformer
    Ruoqi Yu, Shulei Wang
    http://arxiv.org/abs/2008.03738v1

    • [stat.ME]Generalized Liquid Association Analysis for Multimodal Data Integration
    Lexin Li, Jing Zeng, Xin Zhang
    http://arxiv.org/abs/2008.03733v1

    • [stat.ME]Generalized k-Means in GLMs with Applications to the Outbreak of COVID-19 in the United States
    Tonglin Zhang, Ge Lin
    http://arxiv.org/abs/2008.03838v1

    • [stat.ME]Grouping effects of sparse CCA models in variable selection
    Kefei Liu, Qi Long, Li Shen
    http://arxiv.org/abs/2008.03392v1

    • [stat.ME]Using Multiple Imputation to Classify Potential Outcomes Subgroups
    Yun Li, Irina Bondarenko, Michael R. Elliott, Timothy P. Hofer, Jeremy M. G. Taylor
    http://arxiv.org/abs/2008.04257v1

    • [stat.ME]Visualization of Covariance Structures for Multivariate Spatio-Temporal Random Fields
    Huang Huang, Ying Sun, Marc G. Genton
    http://arxiv.org/abs/2008.03689v1

    • [stat.ML]$k$-means on a log-Cholesky Manifold, with Unsupervised Classification of Radar Products
    Daniel Fryer, Hien Nguyen, Pascal Castellazzi
    http://arxiv.org/abs/2008.03454v1

    • [stat.ML]A Fully Bayesian Gradient-Free Supervised Dimension Reduction Method using Gaussian Processes
    Raphael Gautier, Piyush Pandita, Sayan Ghosh, Dimitri Mavris
    http://arxiv.org/abs/2008.03534v1

    • [stat.ML]Directed hypergraph neural network
    Loc Hoang Tran, Linh Hoang Tran
    http://arxiv.org/abs/2008.03626v1

    • [stat.ML]Do ideas have shape? Plato’s theory of forms as the continuous limit of artificial neural networks
    Houman Owhadi
    http://arxiv.org/abs/2008.03920v1

    • [stat.ML]Individualized Prediction of COVID-19 Adverse outcomes with MLHO
    Hossein Estiri, Zachary H. Strasser, Shawn N. Murphy
    http://arxiv.org/abs/2008.03869v1

    • [stat.ML]Intervention Generative Adversarial Networks
    Jiadong Liang, Liangyu Zhang, Cheng Zhang, Zhihua Zhang
    http://arxiv.org/abs/2008.03712v1

    • [stat.ML]Modal Principal Component Analysis
    Keishi Sando, Hideitsu Hino
    http://arxiv.org/abs/2008.03400v1

    • [stat.ML]Optimal Combination of Linear and Spectral Estimators for Generalized Linear Models
    Marco Mondelli, Christos Thrampoulidis, Ramji Venkataramanan
    http://arxiv.org/abs/2008.03326v1

    • [stat.ML]Robust Validation: Confident Predictions Even When Distributions Shift
    Maxime Cauchois, Suyash Gupta, Alnur Ali, John C. Duchi
    http://arxiv.org/abs/2008.04267v1

    • [stat.ML]Spectral Algorithms for Community Detection in Directed Networks
    Zhe Wang, Yingbin Liang, Pengsheng Ji

    http://arxiv.org/abs/2008.03820v1