今日学术视野(2021.8.18)

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.HC - 人机接口
cs.IR - 信息检索
cs.IT - 信息论
cs.LG - 自动学习
cs.MA - 多代理系统
cs.NE - 神经与进化计算
cs.NI - 网络和互联网体系结构
cs.RO - 机器人学
cs.SD - 声音处理
cs.SE - 软件工程
cs.SI - 社交网络与信息网络
econ.EM - 计量经济学
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
math.NA - 数值分析
math.ST - 统计理论
physics.comp-ph - 计算物理学
physics.data-an - 数据分析、 统计和概率
quant-ph - 量子物理
stat.AP - 应用统计
stat.CO - 统计计算
stat.ME - 统计方法论
stat.ML - (统计)机器学习

• [cs.AI]A Fast Algorithm for Computing the Deficiency Number of a Mahjong Hand
• [cs.AI]Autoencoders as Tools for Program Synthesis
• [cs.AI]Development of the InBan_CIDO Ontology by Reusing the Concepts along with Detecting Overlapping Information
• [cs.AI]MatSat: a matrix-based differentiable SAT solver
• [cs.AI]Near-Optimal Reviewer Splitting in Two-Phase Paper Reviewing and Conference Experiment Design
• [cs.AI]Planning with Incomplete Information in Quantified Answer Set Programming
• [cs.CL]A New Entity Extraction Method Based on Machine Reading Comprehension
• [cs.CL]A Single Example Can Improve Zero-Shot Data Generation
• [cs.CL]Accurate, yet inconsistent? Consistency Analysis on Language Understanding Models
• [cs.CL]Active Learning for Massively Parallel Translation of Constrained Text into Low Resource Languages
• [cs.CL]An Effective Non-Autoregressive Model for Spoken Language Understanding
• [cs.CL]An Effective System for Multi-format Information Extraction
• [cs.CL]AutoChart: A Dataset for Chart-to-Text Generation Task
• [cs.CL]BloomNet: A Robust Transformer based model for Bloom’s Learning Outcome Classification
• [cs.CL]Clustering Filipino Disaster-Related Tweets Using Incremental and Density-Based Spatiotemporal Algorithm with Support Vector Machines for Needs Assessment 2
• [cs.CL]Complex Knowledge Base Question Answering: A Survey
• [cs.CL]Contextual Mood Analysis with Knowledge Graph Representation for Hindi Song Lyrics in Devanagari Script
• [cs.CL]DEXTER: Deep Encoding of External Knowledge for Named Entity Recognition in Virtual Assistants
• [cs.CL]Exploring Generalization Ability of Pretrained Language Models on Arithmetic and Logical Reasoning
• [cs.CL]Few-Sample Named Entity Recognition for Security Vulnerability Reports by Fine-Tuning Pre-Trained Language Models
• [cs.CL]Findings of the LoResMT 2021 Shared Task on COVID and Sign Language for Low-resource Languages
• [cs.CL]HiTab: A Hierarchical Table Dataset for Question Answering and Natural Language Generation
• [cs.CL]Investigating Bias In Automatic Toxic Comment Detection: An Empirical Study
• [cs.CL]MMChat: Multi-Modal Chat Dataset on Social Media
• [cs.CL]Maps Search Misspelling Detection Leveraging Domain-Augmented Contextual Representations
• [cs.CL]MobIE: A German Dataset for Named Entity Recognition, Entity Linking and Relation Extraction in the Mobility Domain
• [cs.CL]Partially Supervised Named Entity Recognition via the Expected Entity Ratio Loss
• [cs.CL]SAPPHIRE: Approaches for Enhanced Concept-to-Text Generation
• [cs.CL]The SelectGen Challenge: Finding the Best Training Samples for Few-Shot Neural Text Generation
• [cs.CL]What can Neural Referential Form Selectors Learn?
• [cs.CR]A Novel Attribute Reconstruction Attack in Federated Learning
• [cs.CR]Aegis: A Trusted, Automatic and Accurate Verification Framework for Vertical Federated Learning
• [cs.CR]Reference Service Model for Federated Identity Management
• [cs.CR]Time Transitive Functions for Zero Knowledge Proofs
• [cs.CV]3D High-Fidelity Mask Face Presentation Attack Detection Challenge
• [cs.CV]A Cascaded Zoom-In Network for Patterned Fabric Defect Detection
• [cs.CV]A Hybrid Video Anomaly Detection Framework via Memory-Augmented Flow Reconstruction and Flow-Guided Frame Prediction
• [cs.CV]A Self-Distillation Embedded Supervised Affinity Attention Model for Few-Shot Segmentation
• [cs.CV]A Sparse Coding Interpretation of Neural Networks and Theoretical Implications
• [cs.CV]AdaCon: Adaptive Context-Aware Object Detection for Resource-Constrained Embedded Devices
• [cs.CV]Adapting to Unseen Vendor Domains for MRI Lesion Segmentation
• [cs.CV]Asymmetric Bilateral Motion Estimation for Video Frame Interpolation
• [cs.CV]Audio2Gestures: Generating Diverse Gestures from Speech Audio with Conditional Variational Autoencoders
• [cs.CV]B-Splines
• [cs.CV]CONet: Channel Optimization for Convolutional Neural Networks
• [cs.CV]CPNet: Cycle Prototype Network for Weakly-supervised 3D Renal Compartments Segmentation on CT Images
• [cs.CV]CarveMix: A Simple Data Augmentation Method for Brain Lesion Segmentation
• [cs.CV]Change is Everywhere: Single-Temporal Supervised Object Change Detection in Remote Sensing Imagery
• [cs.CV]Cross-Modal Graph with Meta Concepts for Video Captioning
• [cs.CV]DICOM Imaging Router: An Open Deep Learning Framework for Classification of Body Parts from DICOM X-ray Scans
• [cs.CV]Data Augmentation and CNN Classification For Automatic COVID-19 Diagnosis From CT-Scan Images On Small Dataset
• [cs.CV]Data Augmentation for Scene Text Recognition
• [cs.CV]Deep Algorithm Unrolling for Biomedical Imaging
• [cs.CV]Deep Self-Adaptive Hashing for Image Retrieval
• [cs.CV]Deepfake Representation with Multilinear Regression
• [cs.CV]DensePASS: Dense Panoramic Semantic Segmentation via Unsupervised Domain Adaptation with Attention-Augmented Context Exchange
• [cs.CV]Dilated Inception U-Net (DIU-Net)
6ea
for Brain Tumor Segmentation
• [cs.CV]Disease-oriented image embedding with pseudo-scanner standardization for content-based image retrieval on 3D brain MRI
• [cs.CV]Distance-aware Quantization
• [cs.CV]End-to-End Adaptive Monte Carlo Denoising and Super-Resolution
• [cs.CV]Escaping the Gradient Vanishing: Periodic Alternatives of Softmax in Attention Mechanism
• [cs.CV]EventHPE: Event-based 3D Human Pose and Shape Estimation
• [cs.CV]Exploiting a Joint Embedding Space for Generalized Zero-Shot Semantic Segmentation
• [cs.CV]Exploring Temporal Coherence for More General Video Face Forgery Detection
• [cs.CV]Exploring Transferable and Robust Adversarial Perturbation Generation from the Perspective of Network Hierarchy
• [cs.CV]FaPN: Feature-aligned Pyramid Network for Dense Image Prediction
• [cs.CV]Feature Identification and Matching for Hand Hygiene Pose
• [cs.CV]Few-Shot Fine-Grained Action Recognition via Bidirectional Attention and Contrastive Meta-Learning
• [cs.CV]Finding Representative Interpretations on Convolutional Neural Networks
• [cs.CV]Flying Guide Dog: Walkable Path Discovery for the Visually Impaired Utilizing Drones and Transformer-based Semantic Segmentation
• [cs.CV]Focus on the Positives: Self-Supervised Learning for Biodiversity Monitoring
• [cs.CV]Focusing on Persons: Colorizing Old Images Learning from Modern Historical Movies
• [cs.CV]Foreground-Action Consistency Network for Weakly Supervised Temporal Action Localization
• [cs.CV]FrankMocap: A Monocular 3D Whole-Body Pose Estimation System via Regression and Integration
• [cs.CV]GeoCLR: Georeference Contrastive Learning for Efficient Seafloor Image Interpretation
• [cs.CV]HCR-Net: A deep learning based script independent handwritten character recognition network
• [cs.CV]Human Pose and Shape Estimation from Single Polarization Images
• [cs.CV]Improving Self-supervised Learning with Hardness-aware Dynamic Curriculum Learning: An Application to Digital Pathology
• [cs.CV]Interpolation-Aware Padding for 3D Sparse Convolutional Neural Networks
• [cs.CV]Is Pseudo-Lidar needed for Monocular 3D Object detection?
• [cs.CV]Learning Canonical View Representation for 3D Shape Recognition with Arbitrary Views
• [cs.CV]Learning Open-World Object Proposals without Learning to Classify
• [cs.CV]Learning Skeletal Graph Neural Networks for Hard 3D Pose Estimation
• [cs.CV]Learning to Automatically Diagnose Multiple Diseases in Pediatric Chest Radiographs Using Deep Convolutional Neural Networks
• [cs.CV]MMOCR: A Comprehensive Toolbox for Text Detection, Recognition and Understanding
• [cs.CV]MSR-GCN: Multi-Scale Residual Graph Convolution Networks for Human Motion Prediction
• [cs.CV]Masked Face Recognition Challenge: The WebFace260M Track Report
• [cs.CV]Multi-Slice Dense-Sparse Learning for Efficient Liver and Tumor Segmentation
• [cs.CV]Multi-Target Adversarial Frameworks for Domain Adaptation in Semantic Segmentation
• [cs.CV]Multi-granularity for knowledge distillation
• [cs.CV]NPBDREG: A Non-parametric Bayesian Deep-Learning Based Approach for Diffeomorphic Brain MRI Registration
• [cs.CV]Neural Architecture Dilation for Adversarial Robustness
• [cs.CV]No-Reference Image Quality Assessment via Transformers, Relative Ranking, and Self-Consistency
• [cs.CV]Occlusion-Aware Video Object Inpainting
• [cs.CV]On the Importance of Encrypting Deep Features
• [cs.CV]Online Continual Learning For Visual Food Classification
• [cs.CV]Online Multi-Granularity Distillation for GAN Compression
• [cs.CV]PICCOLO: Point Cloud-Centric Omnidirectional Localization
• [cs.CV]PIT: Position-Invariant Transform for Cross-FoV Domain Adaptation
• [cs.CV]PTT: Point-Track-Transformer Module for 3D Single Object Tracking in Point Clouds
• [cs.CV]Patch Attack Invariance: How Sensitive are Patch Attacks to 3D Pose?
• [cs.CV]Pixel Difference Networks for Efficient Edge Detection
• [cs.CV]Polyp-PVT: Polyp Segmentation with Pyramid Vision Transformers
• [cs.CV]Probeable DARTS with Application to Computational Pathology
• [cs.CV]ROSITA: Enhancing Vision-and-Language Semantic Alignments via Cross- and Intra-modal Knowledge Integration
• [cs.CV]Real-Time Multi-Modal Semantic Fusion on Unmanned Aerial Vehicles
• [cs.CV]Real-time Human-Centric Segmentation for Complex Video Scenes
• [cs.CV]Reassessing the Limitations of CNN Methods for Camera Pose Regression
• [cs.CV]Refractive Geometry for Underwater Domes
• [cs.CV]SCIDA: Self-Correction Integrated Domain Adaptation from Single- to Multi-label Aerial Images
• [cs.CV]SOTR: Segmenting Objects with Transformers
• [cs.CV]SPG: Unsupervised Domain Adaptation for 3D Object Detection via Semantic Point Generation
• [cs.CV]SSH: A Self-Supervised Framework for Image Harmonization
• [cs.CV]ST3D++: Denoised Self-training for Unsupervised Domain Adaptation on 3D Object Detection
• [cs.CV]Self-supervised Contrastive Learning of Multi-view Facial Expressions
• [cs.CV]Semantic-embedded Unsupervised Spectral Reconstruction from Single RGB Images in the Wild
• [cs.CV]Semi-Supervised Siamese Network for Identifying Bad Data in Medical Imaging Datasets
• [cs.CV]Semi-supervised 3D Object Detection via Adaptive Pseudo-Labeling
• [cs.CV]Soccer line mark segmentation with stochastic watershed transform
• [cs.CV]Stacked Hourglass Network with a Multi-level Attention Mechanism: Where to Look for Intervertebral Disc Labeling
• [cs.CV]Structure-Aware Feature Generation for Zero-Shot Learning
• [cs.CV]TL-SDD: A Transfer Learning-Based Method for Surface Defect Detection with Few Samples
• [cs.CV]Temporal Action Segmentation with High-level Complex Activity Labels
• [cs.CV]Text-Aware Single Image Specular Highlight Removal
• [cs.CV]The Marine Debris Dataset for Forward-Looking Sonar Semantic Segmentation
• [cs.CV]Towards Category and Domain Alignment: Category-Invariant Feature Enhancement for Adversarial Domain Adaptation
• [cs.CV]Towards Efficient and Data Agnostic Image Classification Training Pipeline for Embedded Systems
• [cs.CV]Towards Real-World Prohibited Item Detection: A Large-Scale X-ray Benchmark
• [cs.CV]Towards unconstrained joint hand-object reconstruction from RGB videos
• [cs.CV]Transfer Learning from an Artificial Radiograph-landmark Dataset for Registration of the Anatomic Skull Model to Dual Fluoroscopic X-ray Images
• [cs.CV]Two Eyes Are Better Than One: Exploiting Binocular Correlation for Diabetic Retinopathy Severity Grading
• [cs.CV]U-mesh: Human Correspondence Matching with Mesh Convolutional Networks
• [cs.CV]Unravelling the Effect of Image Distortions for Biased Prediction of Pre-trained Face Recognition Models
• [cs.CV]Unsupervised Disentanglement without Autoencoding: Pitfalls and Future Directions
• [cs.CV]Unsupervised Person Re-identification with Stochastic Training Strategy
• [cs.CV]Vector-Decomposed Disentanglement for Domain-Invariant Object Detection
• [cs.CV]Vehicle-counting with Automatic Region-of-Interest and Driving-Trajectory detection
• [cs.CV]Video Person Re-identification using Attribute-enhanced Features
• [cs.CV]Voxel-wise Cross-Volume Representation Learning for 3D Neuron Reconstruction
• [cs.CV]Weakly Supervised Temporal Anomaly Segmentation with Dynamic Time Warping
• [cs.CV]Who’s Waldo? Linking People Across Text and Images
• [cs.CV]WikiChurches: A Fine-Grained Dataset of Architectural Styles with Real-World Challenges
• [cs.CY]Global Tweet Mentions of COVID-19
• [cs.CY]How we browse: Measurement and analysis of digital behavior
• [cs.CY]Legal perspective on possible fairness measures - A legal discussion using the example of hiring decisions (preprint)
• [cs.CY]Socio-Technological Challenges and Opportunities: Paths Forward
• [cs.CY]The Development of Central Bank Digital Currency in China: An Analysis
• [cs.DC]Collaborative Unsupervised Visual Representation Learning from Decentralized Data
• [cs.DC]Efficient Byzantine-Resilient Stochastic Gradient Desce
• [cs.DC]Joint Optimization in Edge-Cloud Continuum for Federated Unsupervised Person Re-identification
• [cs.DC]LayerPipe: Accelerating Deep Neural Network Training by Intra-Layer and Inter-Layer Gradient Pipelining and Multiprocessor Scheduling
• [cs.DC]Memtrade: A Disaggregated-Memory Marketplace for Public Clouds
• [cs.DC]Unifying Futures and Spot Market: Overbooking-Enabled Resource Trading in Mobile Edge Networks
• [cs.DC]Vertical, Temporal, and Horizontal Scaling of Hierarchical Hypersparse GraphBLAS Matrices
• [cs.HC]Towards Visual Explainable Active Learning for Zero-Shot Classification
• [cs.IR]Analyzing Item Popularity Bias of Music Recommender Systems: Are Different Genders Equally Affected?
• [cs.IR]Automated Enterprise Architecture Model Mining
• [cs.IR]Continuous-Time Sequential Recommendation with Temporal Graph Collaborative Transformer
• [cs.IR]Contrastive Self-supervised Sequential Recommendation with Robust Augmentation
• [cs.IR]DGCN: Diversified Recommendation with Graph Convolutional Networks
• [cs.IR]Deployment of a Free-Text Analytics Platform at a UK National Health Service Research Hospital: CogStack at University College London Hospitals
• [cs.IR]Modeling Scale-free Graphs for Knowledge-aware Recommendation
• [cs.IR]Multi-Objective Recommendations: A Tutorial
• [cs.IR]Toward the Understanding of Deep Text Matching Models for Information Retrieval
• [cs.IT]-ary non-overlapping codes: a generating function approach
• [cs.IT]Channel Knowledge Map for Environment-Aware Communications: EM Algorithm for Map Construction
• [cs.IT]Designing Two-Dimensional Complete Complementary Codes for Omnidirectional Transmission in Massive MIMO Systems
• [cs.IT]Joint Dynamic Passive Beamforming and Resource Allocation for IRS-Aided Full-Duplex WPCN
• [cs.IT]Multihop RIS-Assisted FSO-RF System Over Double Generalized Gamma Fading
• [cs.IT]New Binary and Ternary Quasi-Cyclic Codes with Good Properties
• [cs.IT]Optimal Power and Time Allocation for WPCNs with Piece-wise Linear EH Model
• [cs.IT]Post-Quantum Security for Ultra-Reliable Low-Latency Heterogeneous Networks
• [cs.IT]Robust Beamforming Design for Rate Splitting Multiple Access-Aided MISO Visible Light Communications
• [cs.IT]STAR-RIS Aided NOMA in Multi-Cell Networks: A General Analytical Framework with Gamma Distributed Channel Modeling
• [cs.IT]Sum-Rate Maximization for Multi-Reconfigurable Intelligent Surface-Assisted Device-to-Device Communications
• [cs.IT]The Emergence of Wireless MAC Protocols with Multi-Agent Reinforcement Learning
• [cs.IT]Windowed Decoding for Delayed Bit-Interleaved Coded Modulation
• [cs.IT]Wireless Powered Communication Networks with Non-Ideal Circuit Power Consumption
• [cs.LG]A Microscopic Pandemic Simulator for Pandemic Prediction Using Scalable Million-Agent Reinforcement Learning
• [cs.LG]A Physics Informed Neural Network Approach to Solution and Identification of Biharmonic Equations of Elasticity
• [cs.LG]A Survey on GAN Acceleration Using Memory Compression Technique
• [cs.LG]A diffusion-map-based algorithm for gradient computation on manifolds and applications
• [cs.LG]A physics-informed variational DeepONet for predicting the crack path in brittle materials
• [cs.LG]AIREX: Neural Network-based Approach for Air Quality Inference in Unmonitored Cities
• [cs.LG]APReL: A Library for Active Preference-based Reward Learning Algorithms
• [cs.LG]Active Assessment of Prediction Services as Accuracy Surface Over Attribute Combinations
• [cs.LG]AdaGNN: A multi-modal latent representation meta-learner for GNNs based on AdaBoosting
• [cs.LG]An Investigation of Replay-based Approaches for Continual Learning
• [cs.LG]Batched Thompson Sampling for Multi-Armed Bandits
• [cs.LG]Blockchain-based Trustworthy Federated Learning Architecture
• [cs.LG]Causal Incremental Graph Convolution for Recommender System Retraining
• [cs.LG]Challenges for cognitive decoding using deep learning methods
• [cs.LG]DQN Control Solution for KDD Cup 2021 City Brain Challenge
• [cs.LG]Deep Adversarially-Enhanced k-Nearest Neighbors
• [cs.LG]Deep Geospatial Interpolation Networks
• [cs.LG]Detecting and interpreting faults in vulnerable power grids with machine learning
• [cs.LG]Do Proportionate Algorithms Exploit Sparsity?
• [cs.LG]Effective and Efficient Graph Learning for Multi-view Clustering
• [cs.LG]Efficient Feature Representations for Cricket Data Analysis using Deep Learning based Multi-Modal Fusion Model
• [cs.LG]Efficient Federated Meta-Learning over Multi-Access Wireless Networks
• [cs.LG]Event2Graph: Event-driven Bipartite Graph for Multivariate Time-series Anomaly Detection
• [cs.LG]Fractional Transfer Learning for Deep Model-Based Reinforcement Learning
• [cs.LG]Generating Cyber Threat Intelligence to Discover Potential Security Threats Using Classification and Topic Modeling
• [cs.LG]Hierarchical Infinite Relational Model
• [cs.LG]IADA: Iterative Adversarial Data Augmentation Using Formal Verification and Expert Guidance
• [cs.LG]Identifying and Exploiting Structures for Reliable Deep Learning
• [cs.LG]Implicit Regularization of Bregman Proximal Point Algorithm and Mirror Descent on Separable Data
• [cs.LG]Implicitly Regularized RL with Implicit Q-Values
• [cs.LG]Interpreting Attributions and Interactions of Adversarial Attacks
• [cs.LG]Introduction to Quantum Reinforcement Learning: Theory and PennyLane-based Implementation
• [cs.LG]Investigating the Relationship Between Dropout Regularization and Model Complexity in Neural Networks
• [cs.LG]LinkTeller: Recovering Private Edges from Graph Neural Networks via Influence Analysis
• [cs.LG]Locally Interpretable Model Agnostic Explanations using Gaussian Processes
• [cs.LG]Metadata-based Multi-Task Bandits with Bayesian Hierarchical Models
• [cs.LG]Multistream Graph Attention Networks for Wind Speed Forecasting
• [cs.LG]Near-Optimal No-Regret Learning in General Games
• [cs.LG]Neural Predictive Monitoring under Partial Observabilit
• [cs.LG]Neural-to-Tree Policy Distillation with Policy Improvement Criterion
• [cs.LG]Neuron Campaign for Initialization Guided by Information Bottleneck Theory
• [cs.LG]Nowcasting-Nets: Deep Neural Network Structures for Precipitation Nowcasting Using IMERG
• [cs.LG]Offline-Online Reinforcement Learning for Energy Pricing in Office Demand Response: Lowering Energy and Data Costs
• [cs.LG]On the Opportunities and Risks of Foundation Models
• [cs.LG]Optimal Actor-Critic Policy with Optimized Training Datasets
• [cs.LG]Optimal Approximation with Sparse Neural Networks and Applications
• [cs.LG]Optimal and Efficient Algorithms for General Mixable Losses against Switching Oracles
• [cs.LG]Policy Evaluation and Temporal-Difference Learning in Continuous Time and Space: A Martingale Approach
• [cs.LG]Provable Data Clustering via Innovation Search
• [cs.LG]Reducing the Communication Cost of Federated Learning through Multistage Optimization
• [cs.LG]Robust Hierarchical Clustering for Directed Networks: An Axiomatic Approach
• [cs.LG]Task-Sensitive Concept Drift Detector with Metric Learning
• [cs.LG]Task-wise Split Gradient Boosting Trees for Multi-center Diabetes Prediction
• [cs.LG]The Sharpe predictor for fairness in machine learning
• [cs.LG]Towards Understanding Theoretical Advantages of Complex-Reaction Networks
• [cs.LG]Towards a Safety Case for Hardware Fault Tolerance in Convolutional Neural Networks Using Activation Range Supervision
• [cs.LG]Training for the Future: A Simple Gradient Interpolation Loss to Generalize Along Time
• [cs.LG]Using Cyber Terrain in Reinforcement Learning for Penetration Testing
• [cs.LG]WiseR: An end-to-end structure learning and deployment framework for causal graphical models
• [cs.MA]Tracking Multiple Fast Targets With Swarms: Interplay Between Social Interaction and Agent Memory
• [cs.NE]Evolutionary Algorithms in Approximate Computing: A Survey
• [cs.NI]Learning from Images: Proactive Caching with Parallel Convolutional Neural Networks
• [cs.NI]Prediction Analysis of Optical Tracker Parameters using Machine Learning Approaches for efficient Head Tracking
• [cs.NI]SINA - Smart Interoperability Architecture An architecture fostering the interoperability between smart building technology from different manufacturers and smart grid infrastructure to enable new business models for energy services
• [cs.NI]Spatial Temporal Analysis of 40,000,000,000,000 Internet Darkspace Packets
• [cs.RO]A Morphing Quadrotor that Can Optimize Morphology for Transportation
• [cs.RO]A Vision-based Irregular Obstacle Avoidance Framework via Deep Reinforcement Learning
• [cs.RO]Adaptive Selection of Informative Path Planning Strategies via Reinforcement Learning
• [cs.RO]Augmenting GRIPS with Heuristic Sampling for Planning Feasible Trajectories of a Car-Like Robot
• [cs.RO]Constrained Iterative LQG for Real-Time Chance-ConstrainedGaussian Belief Space Planning
• [cs.RO]Data Generation for Learning to Grasp in a Bin-picking Scenario
• [cs.RO]Decentralized Multi-AGV Task Allocation based on Multi-Agent Reinforcement Learning with Information Potential Field Rewards
• [cs.RO]Distributed Control of Truss Robots Using Consensus Alternating Direction Method of Multipliers
• [cs.RO]Efficient Anytime CLF Reactive Planning System for a Bipedal Robot on Undulating Terrain
• [cs.RO]Force-feedback based Whole-body Stabilizer for Position-Controlled Humanoid Robots
• [cs.RO]Learning Dynamical System for Grasping Motion
• [cs.RO]Learning Friction Model for Tethered Capsule Robot
• [cs.RO]Monocular visual autonomous landing system for quadcopter drones using software in the loop
• [cs.RO]Proximity Perception in Human-Centered Robotics: A Survey on Sensing Systems and Applications
• [cs.RO]Sharing Cognition: Human Gesture and Natural Language Grounding Based Planning and Navigation for Indoor Robots
• [cs.RO]Smart Pointers and Shared Memory Synchronisation for Efficient Inter-process Communication in ROS on an Autonomous Vehicle
• [cs.RO]The Geometric Structure of Externally Actuated Planar Locomoting Systems in Ambient Media
• [cs.RO]The Integrated Probabilistic Data Association Filter Adapted to Lie Groups
• [cs.SD]NIST SRE CTS Superset: A large-scale dataset for telephony speaker recognition
• [cs.SE]On Multi-Modal Learning of Editing Source Code
• [cs.SE]Supply of engineering techniques and software design patterns in psychoanalysis and psychometrics sciences
• [cs.SI]’Walking Into a Fire Hoping You Don’t Catch’: Strategies and Designs to Facilitate Cross-Partisan Online Discussions
• [cs.SI]A Longitudinal Analysis on Instagram Characteristics of Olympic Champions
• [cs.SI]A complex network approach to time series analysis with application in diagnosis of neuromuscular disorders
• [cs.SI]Decision Making in Project Groups Formation: Students’ Perception and Reconciliation
• [cs.SI]Successful New-entry Prediction for Multi-Party Online Conversations via Latent Topics and Discourse Modeling
• [cs.SI]The Information Ecosystem of Online Groups with Anti- and Pro-vaccine Views on Facebook
• [cs.SI]Topology-Guided Sampling for Fast and Accurate Community Detection
• [econ.EM]Dimensionality Reduction and State Space Systems: Forecasting the US Treasury Yields Using Frequentist and Bayesian VARs
• [econ.EM]Evidence Aggregation for Treatment Choice
• [eess.AS]GC-TTS: Few-shot Speaker Adaptation with Geometric Constraints
• [eess.IV]Continuous-Time Spatiotemporal Calibration of a Rolling Shutter Camera—-IMU System
• [eess.IV]High-dimensional Assisted Generative Model for Color Image Restoration
• [eess.SP]Optimal Scheduling of Isolated Microgrids Using Automated Reinforcement Learning-based Multi-period Forecasting
• [eess.SP]Reception strategies for sky-ground uplink non-orthogonal multiple access
• [eess.SY]A Two-Layer Near-Optimal Strategy for Substation Constraint Management via Home Batteries
• [eess.SY]Hybrid Gaussian Process Modeling Applied to Economic Stochastic Model Predictive Control of Batch Processes
• [math.NA]The Neural Network shifted-Proper Orthogonal Decomposition: a Machine Learning Approach for Non-linear Reduction of Hyperbolic Equations
• [math.ST]Adaptive optimal estimation of irregular mean and covariance functions
• [math.ST]Confidence sets in a sparse stochastic block model with two communities of unknown sizes
• [math.ST]Logistic or not logistic?
• [math.ST]Mean Test with Fewer Observation than Dimension and Ratio Unbiased Estimator for Correlation Matrix
• [math.ST]On Azadkia-Chatterjee’s conditional dependence coefficient
• [math.ST]On Support Recovery with Sparse CCA: Information Theoretic and Computational Limits
• [math.ST]On boosting the power of Chatterjee’s rank correlation
• [math.ST]On singular values of data matrices with general independent columns
• [math.ST]Smoluchowski processes and nonparametric estimation of functionals of particle displacement distributions from count data
• [math.ST]Statistical inference for the slope parameter in functional linear regression
• [math.ST]Uniform Function Estimators in Reproducing Kernel Hilbert Spaces
• [physics.comp-ph]Variational Inference at Glacier Scale
• [physics.data-an]Spectral Detection of Simplicial Communities via Hodge Laplacians
• [quant-ph]How Deep the Theory of Quantum Communications Goes: Superadditivity, Superactivation and Causal Activation
• [stat.AP]Adaptive Gradient Descent Methods for Computing Implied Volatility
• [stat.CO]A fast asynchronous MCMC sampler for sparse Bayesian inference
• [stat.ME]A Bayesian group sequential schema for ordinal endpoints
• [stat.ME]A new omnibus test of fit based on a characterisation of the uniform distribution
• [stat.ME]Accounting for multiple imputation-induced variability for differential analysis in mass spectrometry-based label-free quantitative proteomics
• [stat.ME]Analyzing insurance data with an exponentiated composite Inverse-Gamma Pareto model
• [stat.ME]Bayesian Parameter Estimations for Grey System Models in Online Traffic Speed Predictions
• [stat.ME]Estimation When Both Covariance And Precision Matrices Are Sparse
• [stat.ME]Flexible Principal Component Analysis for Exponential Family Distributions
• [stat.ME]Mixed models for repeated measures should include time-by-covariate interactions to assure power gains and robustness against dropout bias relative to complete-case ANCOVA
• [stat.ME]Revisiting Empirical Bayes Methods and Applications to Special Types of Data
• [stat.ME]The Proximal ID Algorithm
• [stat.ML]Equity-Directed Bootstrapping: Examples and Analysis
• [stat.ML]Interpreting and improving deep-learning models with reality checks
• [stat.ML]Non-Local Feature Aggregation on Graphs via Latent Fixed Data Structures
• [stat.ML]Robust Trimmed k-means
• [stat.ML]Time Delay Estimation of Traffic Congestion Propagation based on Transfer Entropy
• [stat.ML]Weakly Supervised Continual Learning

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• [cs.AI]A Fast Algorithm for Computing the Deficiency Number of a Mahjong Hand
Xueqing Yan, Yongming Li, Sanjiang Li
http://arxiv.org/abs/2108.06832v1

• [cs.AI]Autoencoders as Tools for Program Synthesis
Sander de Bruin, Vadim Liventsev, Milan Petković
http://arxiv.org/abs/2108.07129v1

• [cs.AI]Development of the InBan_CIDO Ontology by Reusing the Concepts along with Detecting Overlapping Information
Archana Patel, Narayan C Debnath
http://arxiv.org/abs/2108.06742v1

• [cs.AI]MatSat: a matrix-based differentiable SAT solver
Taisuke Sato, Ryosuke Kojima
http://arxiv.org/abs/2108.06481v1

• [cs.AI]Near-Optimal Reviewer Splitting in Two-Phase Paper Reviewing and Conference Experiment Design
Steven Jecmen, Hanrui Zhang, Ryan Liu, Fei Fang, Vincent Conitzer, Nihar B. Shah
http://arxiv.org/abs/2108.06371v1

• [cs.AI]Planning with Incomplete Information in Quantified Answer Set Programming
Jorge Fandinno, François Laferrière, Javier Romero, Torsten Schaub, Tran Cao Son
http://arxiv.org/abs/2108.06405v1

• [cs.CL]A New Entity Extraction Method Based on Machine Reading Comprehension
Xiaobo Jiang, Kun He, Jiajun He, Guangyu Yan
http://arxiv.org/abs/2108.06444v1

• [cs.CL]A Single Example Can Improve Zero-Shot Data Generation
Pavel Burnyshev, Valentin Malykh, Andrey Bout, Ekaterina Artemova, Irina Piontkovskaya
http://arxiv.org/abs/2108.06991v1

• [cs.CL]Accurate, yet inconsistent? Consistency Analysis on Language Understanding Models
Myeongjun Jang, Deuk Sin Kwon, Thomas Lukasiewicz
http://arxiv.org/abs/2108.06665v1

• [cs.CL]Active Learning for Massively Parallel Translation of Constrained Text into Low Resource Languages
Zhong Zhou, Alex Waibel
http://arxiv.org/abs/2108.07127v1

• [cs.CL]An Effective Non-Autoregressive Model for Spoken Language Understanding
Lizhi Cheng, Weijia Jia, Wenmian Yang
http://arxiv.org/abs/2108.07005v1

• [cs.CL]An Effective System for Multi-format Information Extraction
Yaduo Liu, Longhui Zhang, Shujuan Yin, Xiaofeng Zhao, Feiliang Ren
http://arxiv.org/abs/2108.06957v1

• [cs.CL]AutoChart: A Dataset for Chart-to-Text Generation Task
Jiawen Zhu, Jinye Ran, Roy Ka-wei Lee, Kenny Choo, Zhi Li
http://arxiv.org/abs/2108.06897v1

• [cs.CL]BloomNet: A Robust Transformer based model for Bloom’s Learning Outcome Classification
Abdul Waheed, Muskan Goyal, Nimisha Mittal, Deepak Gupta, Ashish Khanna, Moolchand Sharma
http://arxiv.org/abs/2108.07249v1

• [cs.CL]Clustering Filipino Disaster-Related Tweets Using Incremental and Density-Based Spatiotemporal Algorithm with Support Vector Machines for Needs Assessment 2
Ocean M. Barba, Franz Arvin T. Calbay, Angelica Jane S. Francisco, Angel Luis D. Santos, Charmaine S. Ponay
http://arxiv.org/abs/2108.06853v1

• [cs.CL]Complex Knowledge Base Question Answering: A Survey
Yunshi Lan, Gaole He, Jinhao Jiang, Jing Jiang, Wayne Xin Zhao, Ji-Rong Wen
http://arxiv.org/abs/2108.06688v1

• [cs.CL]Contextual Mood Analysis with Knowledge Graph Representation for Hindi Song Lyrics in Devanagari Script
Makarand Velankar, Rachita Kotian, Parag Kulkarni
http://arxiv.org/abs/2108.06947v1

• [cs.CL]DEXTER: Deep Encoding of External Knowledge for Named Entity Recognition in Virtual Assistants
Deepak Muralidharan, Joel Ruben Antony Moniz, Weicheng Zhang, Stephen Pulman, Lin Li, Megan Barnes, Jingjing Pan, Jason Williams, Alex Acero
http://arxiv.org/abs/2108.06633v1

• [cs.CL]Exploring Generalization Ability of Pretrained Language Models on Arithmetic and Logical Reasoning
Cunxiang Wang, Boyuan Zheng, Yuchen Niu, Yue Zhang
http://arxiv.org/abs/2108.06743v1

• [cs.CL]Few-Sample Named Entity Recognition for Security Vulnerability Reports by Fine-Tuning Pre-Trained Language Models
Guanqun Yang, Shay Dineen, Zhipeng Lin, Xueqing Liu
http://arxiv.org/abs/2108.06590v1

• [cs.CL]Findings of the LoResMT 2021 Shared Task on COVID and Sign Language for Low-resource Languages
Atul Kr. Ojha, Chao-Hong Liu, Katharina Kann, John Ortega, Sheetal Shatam, Theodorus Fransen
http://arxiv.org/abs/2108.06598v1

• [cs.CL]HiTab: A Hierarchical Table Dataset for Question Answering and Natural Language Generation
Zhoujun Cheng, Haoyu Dong, Zhiruo Wang, Ran Jia, Jiaqi Guo, Yan Gao, Shi Han, Jian-Guang Lou, Dongmei Zhang
http://arxiv.org/abs/2108.06712v1

• [cs.CL]Investigating Bias In Automatic Toxic Comment Detection: An Empirical Study
Ayush Kumar, Pratik Kumar
http://arxiv.org/abs/2108.06487v1

• [cs.CL]MMChat: Multi-Modal Chat Dataset on Social Media
Yinhe Zheng, Guanyi Chen, Xin Liu, Ke Lin
http://arxiv.org/abs/2108.07154v1

• [cs.CL]Maps Search Misspelling Detection Leveraging Domain-Augmented Contextual Representations
Yutong Li
http://arxiv.org/abs/2108.06842v1

• [cs.CL]MobIE: A German Dataset for Named Entity Recognition, Entity Linking and Relation Extraction in the Mobility Domain
Leonhard Hennig, Phuc Tran Truong, Aleksandra Gabryszak
http://arxiv.org/abs/2108.06955v1

• [cs.CL]Partially Supervised Named Entity Recognition via the Expected Entity Ratio Loss
Thomas Effland, Michael Collins
http://arxiv.org/abs/2108.07216v1

• [cs.CL]SAPPHIRE: Approaches for Enhanced Concept-to-Text Generation
Steven Y. Feng, Jessica Huynh, Chaitanya Narisetty, Eduard Hovy, Varun Gangal
http://arxiv.org/abs/2108.06643v1

• [cs.CL]The SelectGen Challenge: Finding the Best Training Samples for Few-Shot Neural Text Generation
Ernie Chang, Xiaoyu Shen, Alex Marin, Vera Demberg
http://arxiv.org/abs/2108.06614v1

• [cs.CL]What can Neural Referential Form Selectors Learn?
Guanyi Chen, Fahime Same, Kees van Deemter
http://arxiv.org/abs/2108.06806v1

• [cs.CR]A Novel Attribute Reconstruction Attack in Federated Learning
Lingjuan Lyu, Chen Chen
http://arxiv.org/abs/2108.06910v1

• [cs.CR]Aegis: A Trusted, Automatic and Accurate Verification Framework for Vertical Federated Learning
Cengguang Zhang, Junxue Zhang, Di Chai, Kai Chen
http://arxiv.org/abs/2108.06958v1

• [cs.CR]Reference Service Model for Federated Identity Management
Daniela Pöhn, Peter Hillmann
http://arxiv.org/abs/2108.06701v1

• [cs.CR]Time Transitive Functions for Zero Knowledge Proofs
Ekleen Kaur, Gokul Alex
http://arxiv.org/abs/2108.06389v1

• [cs.CV]3D High-Fidelity Mask Face Presentation Attack Detection Challenge
Ajian Liu, Chenxu Zhao, Zitong Yu, Anyang Su, Xing Liu, Zijian Kong, Jun Wan, Sergio Escalera, Hugo Jair Escalante, Zhen Lei, Guodong Guo
http://arxiv.org/abs/2108.06968v1

• [cs.CV]A Cascaded Zoom-In Network for Patterned Fabric Defect Detection
Zhiwei Zhang
http://arxiv.org/abs/2108.06760v1

• [cs.CV]A Hybrid Video Anomaly Detection Framework via Memory-Augmented Flow Reconstruction and Flow-Guided Frame Prediction
Zhian Liu, Yongwei Nie, Chengjiang Long, Qing Zhang, Guiqing Li
http://arxiv.org/abs/2108.06852v1

• [cs.CV]A Self-Distillation Embedded Supervised Affinity Attention Model for Few-Shot Segmentation
Qi Zhao, Binghao Liu, Shuchang Lyu, Xu Wang, Yifan Yang
http://arxiv.org/abs/2108.06600v1

• [cs.CV]A Sparse Coding Interpretation of Neural Networks and Theoretical Implications
Joshua Bowren
http://arxiv.org/abs/2108.06622v1

• [cs.CV]AdaCon: Adaptive Context-Aware Object Detection for Resource-Constrained Embedded Devices
Marina Neseem, Sherief Reda
http://arxiv.org/abs/2108.06850v1

• [cs.CV]Adapting to Unseen Vendor Domains for MRI Lesion Segmentation
Brandon Mac, Alan R. Moody, April Khademi
http://arxiv.org/abs/2108.06434v1

• [cs.CV]Asymmetric Bilateral Motion Estimation for Video Frame Interpolation
Junheum Park, Chul Lee, Chang-Su Kim
http://arxiv.org/abs/2108.06815v1

• [cs.CV]Audio2Gestures: Generating Diverse Gestures from Speech Audio with Conditional Variational Autoencoders
Jing Li, Di Kang, Wenjie Pei, Xuefei Zhe, Ying Zhang, Zhenyu He, Linchao Bao
http://arxiv.org/abs/2108.06720v1

• [cs.CV]B-Splines
Arindam Chaudhuri
http://arxiv.org/abs/2108.06617v1

• [cs.CV]CONet: Channel Optimization for Convolutional Neural Networks
Mahdi S. Hosseini, Jia Shu Zhang, Zhe Liu, Andre Fu, Jingxuan Su, Mathieu Tuli, Konstantinos N. Plataniotis
http://arxiv.org/abs/2108.06822v1

• [cs.CV]CPNet: Cycle Prototype Network for Weakly-supervised 3D Renal Compartments Segmentation on CT Images
Song Wang, Yuting He, Youyong Kong, Xiaomei Zhu, Shaobo Zhang, Pengfei Shao, Jean-Louis Dillenseger, Jean-Louis Coatrieux, Shuo Li, Guanyu Yang
http://arxiv.org/abs/2108.06669v1

• [cs.CV]CarveMix: A Simple Data Augmentation Method for Brain Lesion Segmentation
Xinru Zhang, Chenghao Liu, Ni Ou, Xiangzhu Zeng, Xiaoliang Xiong, Yizhou Yu, Zhiwen Liu, Chuyang Ye
http://arxiv.org/abs/2108.06883v1

• [cs.CV]Change is Everywhere: Single-Temporal Supervised Object Change Detection in Remote Sensing Imagery
Zhuo Zheng, Ailong Ma, Liangpei Zhang, Yanfei Zhong
http://arxiv.org/abs/2108.07002v1

• [cs.CV]Cross-Modal Graph with Meta Concepts for Video Captioning
Hao Wang, Guosheng Lin, Steven C. H. Hoi, Chunyan Miao
http://arxiv.org/abs/2108.06458v1

• [cs.CV]DICOM Imaging Router: An Open Deep Learning Framework for Classification of Body Parts from DICOM X-ray Scans
Hieu H. Pham, Dung V. Do, Ha Q. Nguyen
http://arxiv.org/abs/2108.06490v1

• [cs.CV]Data Augmentation and CNN Classification For Automatic COVID-19 Diagnosis From CT-Scan Images On Small Dataset
Weijun Tan, Hongwei Guo
http://arxiv.org/abs/2108.07148v1

• [cs.CV]Data Augmentation for Scene Text Recognition
Rowel Atienza
http://arxiv.org/abs/2108.06949v1

• [cs.CV]Deep Algorithm Unrolling for Biomedical Imaging
Yuelong Li, Or Bar-Shira, Vishal Monga, Yonina C. Eldar
http://arxiv.org/abs/2108.06637v1

• [cs.CV]Deep Self-Adaptive Hashing for Image Retrieval
Qinghong Lin, Xiaojun Chen, Qin Zhang, Shangxuan Tian, Yudong Chen
http://arxiv.org/abs/2108.07094v1

• [cs.CV]Deepfake Representation with Multilinear Regression
Sara Abdali, M. Alex O. Vasilescu, Evangelos E. Papalexakis
http://arxiv.org/abs/2108.06702v1

• [cs.CV]DensePASS: Dense Panoramic Semantic Segmentation via Unsupervised Domain Adaptation with Attention-Augmented Context Exchange
Chaoxiang Ma, Jiaming Zhang, Kailun Yang, Alina Roitberg, Rainer Stiefelhagen
http://arxiv.org/abs/2108.06383v1

• [cs.CV]Dilated Inception U-Net (DIU-Net)
6ea
for Brain Tumor Segmentation
Daniel E. Cahall, Ghulam Rasool, Nidhal C. Bouaynaya, Hassan M. Fathallah-Shaykh
http://arxiv.org/abs/2108.06772v1

• [cs.CV]Disease-oriented image embedding with pseudo-scanner standardization for content-based image retrieval on 3D brain MRI
Hayato Arai, Yuto Onga, Kumpei Ikuta, Yusuke Chayama, Hitoshi Iyatomi, Kenichi Oishi
http://arxiv.org/abs/2108.06518v1

• [cs.CV]Distance-aware Quantization
Dohyung kim, Junghyup Lee, Bumsub Ham
http://arxiv.org/abs/2108.06983v1

• [cs.CV]End-to-End Adaptive Monte Carlo Denoising and Super-Resolution
Xinyue Wei, Haozhi Huang, Yujin Shi, Hongliang Yuan, Li Shen, Jue Wang
http://arxiv.org/abs/2108.06915v1

• [cs.CV]Escaping the Gradient Vanishing: Periodic Alternatives of Softmax in Attention Mechanism
Shulun Wang, Bin Liu, Feng Liu
http://arxiv.org/abs/2108.07153v1

• [cs.CV]EventHPE: Event-based 3D Human Pose and Shape Estimation
Shihao Zou, Chuan Guo, Xinxin Zuo, Sen Wang, Pengyu Wang, Xiaoqin Hu, Shoushun Chen, Minglun Gong, Li Cheng
http://arxiv.org/abs/2108.06819v1

• [cs.CV]Exploiting a Joint Embedding Space for Generalized Zero-Shot Semantic Segmentation
Donghyeon Baek, Youngmin Oh, Bumsub Ham
http://arxiv.org/abs/2108.06536v1

• [cs.CV]Exploring Temporal Coherence for More General Video Face Forgery Detection
Yinglin Zheng, Jianmin Bao, Dong Chen, Ming Zeng, Fang Wen
http://arxiv.org/abs/2108.06693v1

• [cs.CV]Exploring Transferable and Robust Adversarial Perturbation Generation from the Perspective of Network Hierarchy
Ruikui Wang, Yuanfang Guo, Ruijie Yang, Yunhong Wang
http://arxiv.org/abs/2108.07033v1

• [cs.CV]FaPN: Feature-aligned Pyramid Network for Dense Image Prediction
Shihua, Huang, Zhichao, Lu, Ran, Cheng, Cheng, He
http://arxiv.org/abs/2108.07058v1

• [cs.CV]Feature Identification and Matching for Hand Hygiene Pose
Rashmi Bakshi
http://arxiv.org/abs/2108.06537v1

• [cs.CV]Few-Shot Fine-Grained Action Recognition via Bidirectional Attention and Contrastive Meta-Learning
Jiahao Wang, Yunhong Wang, Sheng Liu, Annan Li
http://arxiv.org/abs/2108.06647v1

• [cs.CV]Finding Representative Interpretations on Convolutional Neural Networks
Peter Cho-Ho Lam, Lingyang Chu, Maxim Torgonskiy, Jian Pei, Yong Zhang, Lanjun Wang
http://arxiv.org/abs/2108.06384v1

• [cs.CV]Flying Guide Dog: Walkable Path Discovery for the Visually Impaired Utilizing Drones and Transformer-based Semantic Segmentation
Haobin Tan, Chang Chen, Xinyu Luo, Jiaming Zhang, Constantin Seibold, Kailun Yang, Rainer Stiefelhagen
http://arxiv.org/abs/2108.07007v1

• [cs.CV]Focus on the Positives: Self-Supervised Learning for Biodiversity Monitoring
Omiros Pantazis, Gabriel Brostow, Kate Jones, Oisin Mac Aodha
http://arxiv.org/abs/2108.06435v1

• [cs.CV]Focusing on Persons: Colorizing Old Images Learning from Modern Historical Movies
Xin Jin, Zhonglan Li, Ke Liu, Dongqing Zou, Xiaodong Li, Xingfan Zhu, Ziyin Zhou, Qilong Sun, Qingyu Liu
http://arxiv.org/abs/2108.06515v1

• [cs.CV]Foreground-Action Consistency Network for Weakly Supervised Temporal Action Localization
Linjiang Huang, Liang Wang, Hongsheng Li
http://arxiv.org/abs/2108.06524v1

• [cs.CV]FrankMocap: A Monocular 3D Whole-Body Pose Estimation System via Regression and Integration
Yu Rong, Takaaki Shiratori, Hanbyul Joo
http://arxiv.org/abs/2108.06428v1

• [cs.CV]GeoCLR: Georeference Contrastive Learning for Efficient Seafloor Image Interpretation
Takaki Yamada, Adam Prügel-Bennett, Stefan B. Williams, Oscar Pizarro, Blair Thornton
http://arxiv.org/abs/2108.06421v1

• [cs.CV]HCR-Net: A deep learning based script independent handwritten character recognition network
Vinod Kumar Chauhan, Sukhdeep Singh, Anuj Sharma
http://arxiv.org/abs/2108.06663v1

• [cs.CV]Human Pose and Shape Estimation from Single Polarization Images
Shihao Zou, Xinxin Zuo, Sen Wang, Yiming Qian, Chuan Guo, Wei Ji, Jingjing Li, Minglun Gong, Li Cheng
http://arxiv.org/abs/2108.06834v1

• [cs.CV]Improving Self-supervised Learning with Hardness-aware Dynamic Curriculum Learning: An Application to Digital Pathology
Chetan L Srinidhi, Anne L Martel
http://arxiv.org/abs/2108.07183v1

• [cs.CV]Interpolation-Aware Padding for 3D Sparse Convolutional Neural Networks
Yu-Qi Yang, Peng-Shuai Wang, Yang Liu
http://arxiv.org/abs/2108.06925v1

• [cs.CV]Is Pseudo-Lidar needed for Monocular 3D Object detection?
Dennis Park, Rares Ambrus, Vitor Guizilini, Jie Li, Adrien Gaidon
http://arxiv.org/abs/2108.06417v1

• [cs.CV]Learning Canonical View Representation for 3D Shape Recognition with Arbitrary Views
Xin Wei, Yifei Gong, Fudong Wang, Xing Sun
http://arxiv.org/abs/2108.07084v1

• [cs.CV]Learning Open-World Object Proposals without Learning to Classify
Dahun Kim, Tsung-Yi Lin, Anelia Angelova, In So Kweon, Weicheng Kuo
http://arxiv.org/abs/2108.06753v1

• [cs.CV]Learning Skeletal Graph Neural Networks for Hard 3D Pose Estimation
Ailing Zeng, Xiao Sun, Lei Yang, Nanxuan Zhao, Minhao Liu, Qiang Xu
http://arxiv.org/abs/2108.07181v1

• [cs.CV]Learning to Automatically Diagnose Multiple Diseases in Pediatric Chest Radiographs Using Deep Convolutional Neural Networks
Thanh T. Tran, Hieu H. Pham, Thang V. Nguyen, Tung T. Le, Hieu T. Nguyen, Ha Q. Nguyen
http://arxiv.org/abs/2108.06486v1

• [cs.CV]MMOCR: A Comprehensive Toolbox for Text Detection, Recognition and Understanding
Zhanghui Kuang, Hongbin Sun, Zhizhong Li, Xiaoyu Yue, Tsui Hin Lin, Jianyong Chen, Huaqiang Wei, Yiqin Zhu, Tong Gao, Wenwei Zhang, Kai Chen, Wayne Zhang, Dahua Lin
http://arxiv.org/abs/2108.06543v1

• [cs.CV]MSR-GCN: Multi-Scale Residual Graph Convolution Networks for Human Motion Prediction
Lingwei Dang, Yongwei Nie, Chengjiang Long, Qing Zhang, Guiqing Li
http://arxiv.org/abs/2108.07152v1

• [cs.CV]Masked Face Recognition Challenge: The WebFace260M Track Report
Zheng Zhu, Guan Huang, Jiankang Deng, Yun Ye, Junjie Huang, Xinze Chen, Jiagang Zhu, Tian Yang, Jia Guo, Jiwen Lu, Dalong Du, Jie Zhou
http://arxiv.org/abs/2108.07189v1

• [cs.CV]Multi-Slice Dense-Sparse Learning for Efficient Liver and Tumor Segmentation
Ziyuan Zhao, Zeyu Ma, Yanjie Liu, Zeng Zeng, Pierce KH Chow
http://arxiv.org/abs/2108.06761v1

• [cs.CV]Multi-Target Adversarial Frameworks for Domain Adaptation in Semantic Segmentation
Antoine Saporta, Tuan-Hung Vu, Matthieu Cord, Patrick Pérez
http://arxiv.org/abs/2108.06962v1

• [cs.CV]Multi-granularity for knowledge distillation
Baitan Shao, Ying Chen
http://arxiv.org/abs/2108.06681v1

• [cs.CV]NPBDREG: A Non-parametric Bayesian Deep-Learning Based Approach for Diffeomorphic Brain MRI Registration
Samah Khawaled, Moti Freiman
http://arxiv.org/abs/2108.06771v1

• [cs.CV]Neural Architecture Dilation for Adversarial Robustness
Yanxi Li, Zhaohui Yang, Yunhe Wang, Chang Xu
http://arxiv.org/abs/2108.06885v1

• [cs.CV]No-Reference Image Quality Assessment via Transformers, Relative Ranking, and Self-Consistency
S. Alireza Golestaneh, Saba Dadsetan, Kris M. Kitani
http://arxiv.org/abs/2108.06858v1

• [cs.CV]Occlusion-Aware Video Object Inpainting
Lei Ke, Yu-Wing Tai, Chi-Keung Tang
http://arxiv.org/abs/2108.06765v1

• [cs.CV]On the Importance of Encrypting Deep Features
Xingyang Ni, Heikki Huttunen, Esa Rahtu
http://arxiv.org/abs/2108.07147v1

• [cs.CV]Online Continual Learning For Visual Food Classification
Jiangpeng He, Fengqing Zhu
http://arxiv.org/abs/2108.06781v1

• [cs.CV]Online Multi-Granularity Distillation for GAN Compression
Yuxi Ren, Jie Wu, Xuefeng Xiao, Jianchao Yang
http://arxiv.org/abs/2108.06908v1

• [cs.CV]PICCOLO: Point Cloud-Centric Omnidirectional Localization
Junho Kim, Changwoon Choi, Hojun Jang, Young Min Kim
http://arxiv.org/abs/2108.06545v1

• [cs.CV]PIT: Position-Invariant Transform for Cross-FoV Domain Adaptation
Qiqi Gu, Qianyu Zhou, Minghao Xu, Zhengyang Feng, Guangliang Cheng, Xuequan Lu, Jianping Shi, Lizhuang Ma
http://arxiv.org/abs/2108.07142v1

• [cs.CV]PTT: Point-Track-Transformer Module for 3D Single Object Tracking in Point Clouds
Jiayao Shan, Sifan Zhou, Zheng Fang, Yubo Cui
http://arxiv.org/abs/2108.06455v1

• [cs.CV]Patch Attack Invariance: How Sensitive are Patch Attacks to 3D Pose?
Max Lennon, Nathan Drenkow, Philippe Burlina
http://arxiv.org/abs/2108.07229v1

• [cs.CV]Pixel Difference Networks for Efficient Edge Detection
Zhuo Su, Wenzhe Liu, Zitong Yu, Dewen Hu, Qing Liao, Qi Tian, Matti Pietikäinen, Li Liu
http://arxiv.org/abs/2108.07009v1

• [cs.CV]Polyp-PVT: Polyp Segmentation with Pyramid Vision Transformers
Bo Dong, Wenhai Wang, Deng-Ping Fan, Jinpeng Li, Huazhu Fu, Ling Shao
http://arxiv.org/abs/2108.06932v1

• [cs.CV]Probeable DARTS with Application to Computational Pathology
Sheyang Tang, Mahdi S. Hosseini, Lina Chen, Sonal Varma, Corwyn Rowsell, Savvas Damaskinos, Konstantinos N. Plataniotis, Zhou Wang
http://arxiv.org/abs/2108.06859v1

• [cs.CV]ROSITA: Enhancing Vision-and-Language Semantic Alignments via Cross- and Intra-modal Knowledge Integration
Yuhao Cui, Zhou Yu, Chunqi Wang, Zhongzhou Zhao, Ji Zhang, Meng Wang, Jun Yu
http://arxiv.org/abs/2108.07073v1

• [cs.CV]Real-Time Multi-Modal Semantic Fusion on Unmanned Aerial Vehicles
Simon Bultmann, Jan Quenzel, Sven Behnke
http://arxiv.org/abs/2108.06608v1

• [cs.CV]Real-time Human-Centric Segmentation for Complex Video Scenes
Ran Yu, Chenyu Tian, Weihao Xia, Xinyuan Zhao, Haoqian Wang, Yujiu Yang
http://arxiv.org/abs/2108.07199v1

• [cs.CV]Reassessing the Limitations of CNN Methods for Camera Pose Regression
Tony Ng, Adrian Lopez-Rodriguez, Vassileios Balntas, Krystian Mikolajczyk
http://arxiv.org/abs/2108.07260v1

• [cs.CV]Refractive Geometry for Underwater Domes
Mengkun She, David Nakath, Yifan Song, Kevin Köser
http://arxiv.org/abs/2108.06575v1

• [cs.CV]SCIDA: Self-Correction Integrated Domain Adaptation from Single- to Multi-label Aerial Images
Tianze Yu, Jianzhe Lin, Lichao Mou, Yuansheng Hua, Xiaoxiang Zhu, Z. Jane Wang
http://arxiv.org/abs/2108.06810v1

• [cs.CV]SOTR: Segmenting Objects with Transformers
Ruohao Guo, Dantong Niu, Liao Qu, Zhenbo Li
http://arxiv.org/abs/2108.06747v1

• [cs.CV]SPG: Unsupervised Domain Adaptation for 3D Object Detection via Semantic Point Generation
Qiangeng Xu, Yin Zhou, Weiyue Wang, Charles R. Qi, Dragomir Anguelov
http://arxiv.org/abs/2108.06709v1

• [cs.CV]SSH: A Self-Supervised Framework for Image Harmonization
Yifan Jiang, He Zhang, Jianming Zhang, Yilin Wang, Zhe Lin, Kalyan Sunkavalli, Simon Chen, Sohrab Amirghodsi, Sarah Kong, Zhangyang Wang
http://arxiv.org/abs/2108.06805v1

• [cs.CV]ST3D++: Denoised Self-training for Unsupervised Domain Adaptation on 3D Object Detection
Jihan Yang, Shaoshuai Shi, Zhe Wang, Hongsheng Li, Xiaojuan Qi
http://arxiv.org/abs/2108.06682v1

• [cs.CV]Self-supervised Contrastive Learning of Multi-view Facial Expressions
Shuvendu Roy, Ali Etemad
http://arxiv.org/abs/2108.06723v1

• [cs.CV]Semantic-embedded Unsupervised Spectral Reconstruction from Single RGB Images in the Wild
Zhiyu Zhu, Hui Liu, Junhui Hou, Huanqiang Zeng, Qingfu Zhang
http://arxiv.org/abs/2108.06659v1

• [cs.CV]Semi-Supervised Siamese Network for Identifying Bad Data in Medical Imaging Datasets
Niamh Belton, Aonghus Lawlor, Kathleen M. Curran
http://arxiv.org/abs/2108.07130v1

• [cs.CV]Semi-supervised 3D Object Detection via Adaptive Pseudo-Labeling
Hongyi Xu, Fengqi Liu, Qianyu Zhou, Jinkun Hao, Zhijie Cao, Zhengyang Feng, Lizhuang Ma
http://arxiv.org/abs/2108.06649v1

• [cs.CV]Soccer line mark segmentation with stochastic watershed transform
Daniel Berjón, Carlos Cuevas, Narciso García
http://arxiv.org/abs/2108.06432v1

• [cs.CV]Stacked Hourglass Network with a Multi-level Attention Mechanism: Where to Look for Intervertebral Disc Labeling
Reza Azad, Lucas Rouhier, Julien Cohen-Adad
http://arxiv.org/abs/2108.06554v1

• [cs.CV]Structure-Aware Feature Generation for Zero-Shot Learning
Lianbo Zhang, Shaoli Huang, Xinchao Wang, Wei Liu, Dacheng Tao
http://arxiv.org/abs/2108.07032v1

• [cs.CV]TL-SDD: A Transfer Learning-Based Method for Surface Defect Detection with Few Samples
Jiahui Cheng, Bin Guo, Jiaqi Liu, Sicong Liu, Guangzhi Wu, Yueqi Sun, Zhiwen Yu
http://arxiv.org/abs/2108.06939v1

• [cs.CV]Temporal Action Segmentation with High-level Complex Activity Labels
Guodong Ding, Angela Yao
http://arxiv.org/abs/2108.06706v1

• [cs.CV]Text-Aware Single Image Specular Highlight Removal
Shiyu Hou, Chaoqun Wang, Weize Quan, Jingen Jiang, Dong-Ming Yan
http://arxiv.org/abs/2108.06881v1

• [cs.CV]The Marine Debris Dataset for Forward-Looking Sonar Semantic Segmentation
Deepak Singh, Matias Valdenegro-Toro
http://arxiv.org/abs/2108.06800v1

• [cs.CV]Towards Category and Domain Alignment: Category-Invariant Feature Enhancement for Adversarial Domain Adaptation
Yuan Wu, Diana Inkpen, Ahmed El-Roby
http://arxiv.org/abs/2108.06583v1

• [cs.CV]Towards Efficient and Data Agnostic Image Classification Training Pipeline for Embedded Systems
Kirill Prokofiev, Vladislav Sovrasov
http://arxiv.org/abs/2108.07049v1

• [cs.CV]Towards Real-World Prohibited Item Detection: A Large-Scale X-ray Benchmark
Boying Wang, Libo Zhang, Longyin Wen, Xianglong Liu, Yanjun Wu
http://arxiv.org/abs/2108.07020v1

• [cs.CV]Towards unconstrained joint hand-object reconstruction from RGB videos
Yana Hasson, Gül Varol, Ivan Laptev, Cordelia Schmid
http://arxiv.org/abs/2108.07044v1

• [cs.CV]Transfer Learning from an Artificial Radiograph-landmark Dataset for Registration of the Anatomic Skull Model to Dual Fluoroscopic X-ray Images
Chaochao Zhou, Thomas Cha, Yun Peng, Guoan Li
http://arxiv.org/abs/2108.06466v1

• [cs.CV]Two Eyes Are Better Than One: Exploiting Binocular Correlation for Diabetic Retinopathy Severity Grading
Peisheng Qian, Ziyuan Zhao, Cong Chen, Zeng Zeng, Xiaoli Li
http://arxiv.org/abs/2108.06763v1

• [cs.CV]U-mesh: Human Correspondence Matching with Mesh Convolutional Networks
Benjamin Groisser, Alon Wolf, Ron Kimmel
http://arxiv.org/abs/2108.06695v1

• [cs.CV]Unravelling the Effect of Image Distortions for Biased Prediction of Pre-trained Face Recognition Models
Puspita Majumdar, Surbhi Mittal, Richa Singh, Mayank Vatsa
http://arxiv.org/abs/2108.06581v1

• [cs.CV]Unsupervised Disentanglement without Autoencoding: Pitfalls and Future Directions
Andrea Burns, Aaron Sarna, Dilip Krishnan, Aaron Maschinot
http://arxiv.org/abs/2108.06613v1

• [cs.CV]Unsupervised Person Re-identification with Stochastic Training Strategy
Tianyang Liu, Yutian Lin, Bo Du
http://arxiv.org/abs/2108.06938v1

• [cs.CV]Vector-Decomposed Disentanglement for Domain-Invariant Object Detection
Aming Wu, Rui Liu, Yahong Han, Linchao Zhu, Yi Yang
http://arxiv.org/abs/2108.06685v1

• [cs.CV]Vehicle-counting with Automatic Region-of-Interest and Driving-Trajectory detection
Malolan Vasu, Nelson Abreu, Raysa Vásquez, Christian López
http://arxiv.org/abs/2108.07135v1

• [cs.CV]Video Person Re-identification using Attribute-enhanced Features
Tianrui Chai, Zhiyuan Chen, Annan Li, Jiaxin Chen, Xinyu Mei, Yunhong Wang
http://arxiv.org/abs/2108.06946v1

• [cs.CV]Voxel-wise Cross-Volume Representation Learning for 3D Neuron Reconstruction
Heng Wang, Chaoyi Zhang, Jianhui Yu, Yang Song, Siqi Liu, Wojciech Chrzanowski, Weidong Cai
http://arxiv.org/abs/2108.06522v1

• [cs.CV]Weakly Supervised Temporal Anomaly Segmentation with Dynamic Time Warping
Dongha Lee, Sehun Yu, Hyunjun Ju, Hwanjo Yu
http://arxiv.org/abs/2108.06816v1

• [cs.CV]Who’s Waldo? Linking People Across Text and Images
Claire Yuqing Cui, Apoorv Khandelwal, Yoav Artzi, Noah Snavely, Hadar Averbuch-Elor
http://arxiv.org/abs/2108.07253v1

• [cs.CV]WikiChurches: A Fine-Grained Dataset of Architectural Styles with Real-World Challenges
Björn Barz, Joachim Denzler
http://arxiv.org/abs/2108.06959v1

• [cs.CY]Global Tweet Mentions of COVID-19
Guangqing Chi, Junjun Yin, M. Luke Smith, Yosef Bodovski
http://arxiv.org/abs/2108.06385v1

• [cs.CY]How we browse: Measurement and analysis of digital behavior
Yuliia Lut, Michael Wang, Elissa M. Redmiles, Rachel Cummings
http://arxiv.org/abs/2108.06745v1

• [cs.CY]Legal perspective on possible fairness measures - A legal discussion using the example of hiring decisions (preprint)
Marc P Hauer, Johannes Kevekordes, Maryam Amir Haeri
http://arxiv.org/abs/2108.06918v1

• [cs.CY]Socio-Technological Challenges and Opportunities: Paths Forward
Carole-Jean Wu, Srilatha Manne, Parthasarathy Ranganathan, Sarah Bird, Shane Greenstein
http://arxiv.org/abs/2108.06738v1

• [cs.CY]The Development of Central Bank Digital Currency in China: An Analysis
Geoffrey Goodell, Hazem Danny Al Nakib
http://arxiv.org/abs/2108.05946v2

• [cs.DC]Collaborative Unsupervised Visual Representation Learning from Decentralized Data
Weiming Zhuang, Xin Gan, Yonggang Wen, Shuai Zhang, Shuai Yi
http://arxiv.org/abs/2108.06492v1

• [cs.DC]Efficient Byzantine-Resilient Stochastic Gradient Desce
Kaiyun Li, Xiaojun Chen, Ye Dong, Peng Zhang, Dakui Wang, Shuai Zen
http://arxiv.org/abs/2108.06658v1

• [cs.DC]Joint Optimization in Edge-Cloud Continuum for Federated Unsupervised Person Re-identification
Weiming Zhuang, Yonggang
623e
Wen, Shuai Zhang
http://arxiv.org/abs/2108.06493v1

• [cs.DC]LayerPipe: Accelerating Deep Neural Network Training by Intra-Layer and Inter-Layer Gradient Pipelining and Multiprocessor Scheduling
Nanda K. Unnikrishnan, Keshab K. Parhi
http://arxiv.org/abs/2108.06629v1

• [cs.DC]Memtrade: A Disaggregated-Memory Marketplace for Public Clouds
Hasan Al Maruf, Yuhong Zhong, Hongyi Wang, Mosharaf Chowdhury, Asaf Cidon, Carl Waldspurger
http://arxiv.org/abs/2108.06893v1

• [cs.DC]Unifying Futures and Spot Market: Overbooking-Enabled Resource Trading in Mobile Edge Networks
Minghui Liwang, Ruitao Chen, Xianbin Wang, Xuemin, Shen
http://arxiv.org/abs/2108.07226v1

• [cs.DC]Vertical, Temporal, and Horizontal Scaling of Hierarchical Hypersparse GraphBLAS Matrices
Jeremy Kepner, Tim Davis, Chansup Byun, William Arcand, David Bestor, William Bergeron, Vijay Gadepally, Matthew Hubbell, Michael Houle, Michael Jones, Anna Klein, Lauren Milechin, Julie Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Charles Yee, Peter Michaleas
http://arxiv.org/abs/2108.06650v1

• [cs.HC]Towards Visual Explainable Active Learning for Zero-Shot Classification
Shichao Jia, Zeyu Li, Nuo Chen, Jiawan Zhang
http://arxiv.org/abs/2108.06730v1

• [cs.IR]Analyzing Item Popularity Bias of Music Recommender Systems: Are Different Genders Equally Affected?
Oleg Lesota, Alessandro B. Melchiorre, Navid Rekabsaz, Stefan Brandl, Dominik Kowald, Elisabeth Lex, Markus Schedl
http://arxiv.org/abs/2108.06973v1

• [cs.IR]Automated Enterprise Architecture Model Mining
Peter Hillmann, Erik Heiland, Andreas Karcher
http://arxiv.org/abs/2108.06696v1

• [cs.IR]Continuous-Time Sequential Recommendation with Temporal Graph Collaborative Transformer
Ziwei Fan, Zhiwei Liu, Jiawei Zhang, Yun Xiong, Lei Zheng, Philip S. Yu
http://arxiv.org/abs/2108.06625v1

• [cs.IR]Contrastive Self-supervised Sequential Recommendation with Robust Augmentation
Zhiwei Liu, Yongjun Chen, Jia Li, Philip S. Yu, Julian McAuley, Caiming Xiong
http://arxiv.org/abs/2108.06479v1

• [cs.IR]DGCN: Diversified Recommendation with Graph Convolutional Networks
Yu Zheng, Chen Gao, Liang Chen, Depeng Jin, Yong Li
http://arxiv.org/abs/2108.06952v1

• [cs.IR]Deployment of a Free-Text Analytics Platform at a UK National Health Service Research Hospital: CogStack at University College London Hospitals
Kawsar Noor, Lukasz Roguski, Alex Handy, Roman Klapaukh, Amos Folarin, Luis Romao, Joshua Matteson, Nathan Lea, Leilei Zhu, Wai Keong Wong, Anoop Shah, Richard J Dobson
http://arxiv.org/abs/2108.06835v1

• [cs.IR]Modeling Scale-free Graphs for Knowledge-aware Recommendation
Yankai Chen, Menglin Yang, Yingxue Zhang, Mengchen Zhao, Ziqiao Meng, Jian Hao, Irwin King
http://arxiv.org/abs/2108.06468v1

• [cs.IR]Multi-Objective Recommendations: A Tutorial
Yong Zheng, David, Wang
http://arxiv.org/abs/2108.06367v1

• [cs.IR]Toward the Understanding of Deep Text Matching Models for Information Retrieval
Lijuan Chen, Yanyan Lan, Liang Pang, Jiafeng Guo, Xueqi Cheng
http://arxiv.org/abs/2108.07081v1

• [cs.IT]-ary non-overlapping codes: a generating function approach
Geyang Wang, Qi Wang
http://arxiv.org/abs/2108.06934v1

• [cs.IT]Channel Knowledge Map for Environment-Aware Communications: EM Algorithm for Map Construction
Kun Li, Peiming Li, Yong Zeng, Jie Xu
http://arxiv.org/abs/2108.06960v1

• [cs.IT]Designing Two-Dimensional Complete Complementary Codes for Omnidirectional Transmission in Massive MIMO Systems
Cheng-Yu Pai, Chao-Yu Chen, Zilong Liu
http://arxiv.org/abs/2108.06863v1

• [cs.IT]Joint Dynamic Passive Beamforming and Resource Allocation for IRS-Aided Full-Duplex WPCN
Meng Hua, Qingqing Wu
http://arxiv.org/abs/2108.06660v1

• [cs.IT]Multihop RIS-Assisted FSO-RF System Over Double Generalized Gamma Fading
Vinay Kumar Chapala, S. M. Zafaruddin
http://arxiv.org/abs/2108.07236v1

• [cs.IT]New Binary and Ternary Quasi-Cyclic Codes with Good Properties
Dev Akre, Nuh Aydin, Matthew J. Harrington, Saurav R. Pandey
http://arxiv.org/abs/2108.06752v1

• [cs.IT]Optimal Power and Time Allocation for WPCNs with Piece-wise Linear EH Model
Slavche Pejoski, Zoran Hadzi-Velkov, Robert Schober
http://arxiv.org/abs/2108.06584v1

• [cs.IT]Post-Quantum Security for Ultra-Reliable Low-Latency Heterogeneous Networks
Rafael G. L. D’Oliveira, Alejandro Cohen, John Robinson, Thomas Stahlbuhk, Muriel Médard
http://arxiv.org/abs/2108.06409v1

• [cs.IT]Robust Beamforming Design for Rate Splitting Multiple Access-Aided MISO Visible Light Communications
Shuai Ma, Hui Zhou, Yijie Mao, Xiaodong Liu, Youlong Wu, Bruno Clerckx, Yuhao Wang, Shiyin Li
http://arxiv.org/abs/2108.07014v1

• [cs.IT]STAR-RIS Aided NOMA in Multi-Cell Networks: A General Analytical Framework with Gamma Distributed Channel Modeling
Ziyi Xie, Wenqiang Yi, Xuanli Wu, Yuanwei Liu, Arumugam Nallanathan
http://arxiv.org/abs/2108.06704v1

• [cs.IT]Sum-Rate Maximization for Multi-Reconfigurable Intelligent Surface-Assisted Device-to-Device Communications
Yashuai Cao, Tiejun Lv, Wei Ni, Zhipeng Lin
http://arxiv.org/abs/2108.07091v1

• [cs.IT]The Emergence of Wireless MAC Protocols with Multi-Agent Reinforcement Learning
Mateus P. Mota, Alvaro Valcarce, Jean-Marie Gorce, Jakob Hoydis
http://arxiv.org/abs/2108.07144v1

• [cs.IT]Windowed Decoding for Delayed Bit-Interleaved Coded Modulation
Yihuan Liao, Min Qiu, Jinhong Yuan
http://arxiv.org/abs/2108.06697v1

• [cs.IT]Wireless Powered Communication Networks with Non-Ideal Circuit Power Consumption
Slavche Pejoski, Zoran Hadzi-Velkov, Trung Q. Duong, Caijun Zhong
http://arxiv.org/abs/2108.06572v1

• [cs.LG]A Microscopic Pandemic Simulator for Pandemic Prediction Using Scalable Million-Agent Reinforcement Learning
Zhenggang Tang, Kai Yan, Liting Sun, Wei Zhan, Changliu Liu
http://arxiv.org/abs/2108.06589v1

• [cs.LG]A Physics Informed Neural Network Approach to Solution and Identification of Biharmonic Equations of Elasticity
Mohammad Vahab, Ehsan Haghighat, Maryam Khaleghi, Nasser Khalili
http://arxiv.org/abs/2108.07243v1

• [cs.LG]A Survey on GAN Acceleration Using Memory Compression Technique
Dina Tantawy, Mohamed Zahran, Amr Wassal
http://arxiv.org/abs/2108.06626v1

• [cs.LG]A diffusion-map-based algorithm for gradient computation on manifolds and applications
Alvaro Almeida Gomez, Antônio J. Silva Neto, Jorge P. Zubelli
http://arxiv.org/abs/2108.06988v1

• [cs.LG]A physics-informed variational DeepONet for predicting the crack path in brittle materials
Somdatta Goswami, Minglang Yin, Yue Yu, George Karniadakis
http://arxiv.org/abs/2108.06905v1

• [cs.LG]AIREX: Neural Network-based Approach for Air Quality Inference in Unmonitored Cities
Yuya Sasaki, Kei Harada, Shohei Yamasaki, Makoto Onizuka
http://arxiv.org/abs/2108.07120v1

• [cs.LG]APReL: A Library for Active Preference-based Reward Learning Algorithms
Erdem Bıyı k, Aditi Talati, Dorsa Sadigh
http://arxiv.org/abs/2108.07259v1

• [cs.LG]Active Assessment of Prediction Services as Accuracy Surface Over Attribute Combinations
Vihari Piratla, Soumen Chakrabarty, Sunita Sarawagi
http://arxiv.org/abs/2108.06514v1

• [cs.LG]AdaGNN: A multi-modal latent representation meta-learner for GNNs based on AdaBoosting
Qinyi Zhu, Yiou Xiao
http://arxiv.org/abs/2108.06452v1

• [cs.LG]An Investigation of Replay-based Approaches for Continual Learning
Benedikt Bagus, Alexander Gepperth
http://arxiv.org/abs/2108.06758v1

• [cs.LG]Batched Thompson Sampling for Multi-Armed Bandits
Nikolai Karpov, Qin Zhang
http://arxiv.org/abs/2108.06812v1

• [cs.LG]Blockchain-based Trustworthy Federated Learning Architecture
Sin Kit Lo, Yue Liu, Qinghua Lu, Chen Wang, Xiwei Xu, Hye-Young Paik, Liming Zhu
http://arxiv.org/abs/2108.06912v1

• [cs.LG]Causal Incremental Graph Convolution for Recommender System Retraining
Sihao Ding, Fuli Feng, Xiangnan He, Yong Liao, Jun Shi, Yongdong Zhang
http://arxiv.org/abs/2108.06889v1

• [cs.LG]Challenges for cognitive decoding using deep learning methods
Armin W. Thomas, Christopher Ré, Russell A. Poldrack
http://arxiv.org/abs/2108.06896v1

• [cs.LG]DQN Control Solution for KDD Cup 2021 City Brain Challenge
Yitian Chen, Kunlong Chen, Kunjin Chen, Lin Wang
http://arxiv.org/abs/2108.06491v1

• [cs.LG]Deep Adversarially-Enhanced k-Nearest Neighbors
Ren Wang, Tianqi Chen
http://arxiv.org/abs/2108.06797v1

• [cs.LG]Deep Geospatial Interpolation Networks
Sumit Kumar Varshney, Jeetu Kumar, Aditya Tiwari, Rishabh Singh, Venkata M. V. Gunturi, Narayanan C. Krishnan
http://arxiv.org/abs/2108.06670v1

• [cs.LG]Detecting and interpreting faults in vulnerable power grids with machine learning
Odin Foldvik Eikeland, Inga Setså Holmstrand, Sigurd Bakkejord, Matteo Chiesa, Filippo Maria Bianchi
http://arxiv.org/abs/2108.07060v1

• [cs.LG]Do Proportionate Algorithms Exploit Sparsity?
Markus V. S. Lima, Gabriel S. Chaves, Tadeu N. Ferreira, Paulo S. R. Diniz
http://arxiv.org/abs/2108.06846v1

• [cs.LG]Effective and Efficient Graph Learning for Multi-view Clustering
Quanxue Gao, Wei Xia, Xinbo Gao, Dacheng Tao
http://arxiv.org/abs/2108.06734v1

• [cs.LG]Efficient Feature Representations for Cricket Data Analysis using Deep Learning based Multi-Modal Fusion Model
Souridas Alaka, Rishikesh Sreekumar, Hrithwik Shalu
http://arxiv.org/abs/2108.07139v1

• [cs.LG]Efficient Federated Meta-Learning over Multi-Access Wireless Networks
Sheng Yue, Ju Ren, Jiang Xin, Deyu Zhang, Yaoxue Zhang, Weihua Zhuang
http://arxiv.org/abs/2108.06453v1

• [cs.LG]Event2Graph: Event-driven Bipartite Graph for Multivariate Time-series Anomaly Detection
Yuhang Wu, Mengting Gu, Lan Wang, Yusan Lin, Fei Wang, Hao Yang
http://arxiv.org/abs/2108.06783v1

• [cs.LG]Fractional Transfer Learning for Deep Model-Based Reinforcement Learning
Remo Sasso, Matthia Sabatelli, Marco A. Wiering
http://arxiv.org/abs/2108.06526v1

• [cs.LG]Generating Cyber Threat Intelligence to Discover Potential Security Threats Using Classification and Topic Modeling
Md Imran Hossen, Ashraful Islam, Farzana Anowar, Eshtiak Ahmed, Mohammad Masudur Rahman
http://arxiv.org/abs/2108.06862v1

• [cs.LG]Hierarchical Infinite Relational Model
Feras A. Saad, Vikash K. Mansinghka
http://arxiv.org/abs/2108.07208v1

• [cs.LG]IADA: Iterative Adversarial Data Augmentation Using Formal Verification and Expert Guidance
Ruixuan Liu, Changliu Liu
http://arxiv.org/abs/2108.06871v1

• [cs.LG]Identifying and Exploiting Structures for Reliable Deep Learning
Amartya Sanyal
http://arxiv.org/abs/2108.07083v1

• [cs.LG]Implicit Regularization of Bregman Proximal Point Algorithm and Mirror Descent on Separable Data
Yan Li, Caleb Ju, Ethan X. Fang, Tuo Zhao
http://arxiv.org/abs/2108.06808v1

• [cs.LG]Implicitly Regularized RL with Implicit Q-Values
Nino Vieillard, Marcin Andrychowicz, Anton Raichuk, Olivier Pietquin, Matthieu Geist
http://arxiv.org/abs/2108.07041v1

• [cs.LG]Interpreting Attributions and Interactions of Adversarial Attacks
Xin Wang, Shuyun Lin, Hao Zhang, Yufei Zhu, Quanshi Zhang
http://arxiv.org/abs/2108.06895v1

• [cs.LG]Introduction to Quantum Reinforcement Learning: Theory and PennyLane-based Implementation
Yunseok Kwak, Won Joon Yun, Soyi Jung, Jong-Kook Kim, Joongheon Kim
http://arxiv.org/abs/2108.06849v1

• [cs.LG]Investigating the Relationship Between Dropout Regularization and Model Complexity in Neural Networks
Christopher Sun, Jai Sharma, Milind Maiti
http://arxiv.org/abs/2108.06628v1

• [cs.LG]LinkTeller: Recovering Private Edges from Graph Neural Networks via Influence Analysis
Fan Wu, Yunhui Long, Ce Zhang, Bo Li
http://arxiv.org/abs/2108.06504v1

• [cs.LG]Locally Interpretable Model Agnostic Explanations using Gaussian Processes
Aditya Saini
http://arxiv.org/abs/2108.06907v1

• [cs.LG]Metadata-based Multi-Task Bandits with Bayesian Hierarchical Models
Runzhe Wan, Lin Ge, Rui Song
http://arxiv.org/abs/2108.06422v1

• [cs.LG]Multistream Graph Attention Networks for Wind Speed Forecasting
Dogan Aykas, Siamak Mehrkanoon
http://arxiv.org/abs/2108.07063v1

• [cs.LG]Near-Optimal No-Regret Learning in General Games
Constantinos Daskalakis, Maxwell Fishelson, Noah Golowich
http://arxiv.org/abs/2108.06924v1

• [cs.LG]Neural Predictive Monitoring under Partial Observabilit
Francesca Cairoli, Luca Bortolussi, Nicola Paoletti
http://arxiv.org/abs/2108.07134v1

• [cs.LG]Neural-to-Tree Policy Distillation with Policy Improvement Criterion
Zhao-Hua Li, Yang Yu, Yingfeng Chen, Ke Chen, Zhipeng Hu, Changjie Fan
http://arxiv.org/abs/2108.06898v1

• [cs.LG]Neuron Campaign for Initialization Guided by Information Bottleneck Theory
Haitao Mao, Xu Chen, Qiang Fu, Lun Du, Shi Han, Dongmei Zhang
http://arxiv.org/abs/2108.06530v1

• [cs.LG]Nowcasting-Nets: Deep Neural Network Structures for Precipitation Nowcasting Using IMERG
Mohammad Reza Ehsani, Ariyan Zarei, Hoshin V. Gupta, Kobus Barnard, Ali Behrangi
http://arxiv.org/abs/2108.06868v1

• [cs.LG]Offline-Online Reinforcement Learning for Energy Pricing in Office Demand Response: Lowering Energy and Data Costs
Doseok Jang, Lucas Spangher, Manan Khattar, Utkarsha Agwan, Selvaprabuh Nadarajah, Costas Spanos
http://arxiv.org/abs/2108.06594v1

• [cs.LG]On the Opportunities and Risks of Foundation Models
Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, Russ Altman, Simran Arora, Sydney von Arx, Michael S. Bernstein, Jeannette Bohg, Antoine Bosselut, Emma Brunskill, Erik Brynjolfsson, Shyamal Buch, Dallas Card, Rodrigo Castellon, Niladri Chatterji, Annie Chen, Kathleen Creel, Jared Quincy Davis, Dora Demszky, Chris Donahue, Moussa Doumbouya, Esin Durmus, Stefano Ermon, John Etchemendy, Kawin Ethayarajh, Li Fei-Fei, Chelsea Finn, Trevor Gale, Lauren Gillespie, Karan Goel, Noah Goodman, Shelby Grossman, Neel Guha, Tatsunori Hashimoto, Peter Henderson, John Hewitt, Daniel E. Ho, Jenny Hong, Kyle Hsu, Jing Huang, Thomas Icard, Saahil Jain, Dan Jurafsky, Pratyusha Kalluri, Siddharth Karamcheti, Geoff Keeling, Fereshte Khani, Omar Khattab, Pang Wei Koh, Mark Krass, Ranjay Krishna, Rohith Kuditipudi, Ananya Kumar, Faisal Ladhak, Mina Lee, Tony Lee, Jure Leskovec, Isabelle Levent, Xiang Lisa Li, Xuechen Li, Tengyu Ma, Ali Malik, Christopher D. Manning, Suvir Mirchandani, Eric Mitchell, Zanele Munyikwa, Suraj Nair, Avanika Narayan, Deepak Narayanan, Ben Newman, Allen Nie, Juan Carlos Niebles, Hamed Nilforoshan, Julian Nyarko, Giray Ogut, Laurel Orr, Isabel Papadimitriou, Joon Sung Park, Chris Piech, Eva Portelance, Christopher Potts, Aditi Raghunathan, Rob Reich, Hongyu Ren, Frieda Rong, Yusuf Roohani, Camilo Ruiz, Jack Ryan, Christopher Ré, Dorsa Sadigh, Shiori Sagawa, Keshav Santhanam, Andy Shih, Krishnan Srinivasan, Alex Tamkin, Rohan Taori, Armin W. Thomas, Florian Tramèr, Rose E. Wang, William Wang, Bohan Wu, Jiajun Wu, Yuhuai Wu, Sang Michael Xie, Michihiro Yasunaga, Jiaxuan You, Matei Zaharia, Michael Zhang, Tianyi Zhang, Xikun Zhang, Yuhui Zhang, Lucia Zheng, Kaitlyn Zhou, Percy Liang
http://arxiv.org/abs/2108.07258v1

• [cs.LG]Optimal Actor-Critic Policy with Optimized Training Datasets
Chayan Banerjee, Zhiyong Chen, Nasimul Noman, Mohsen Zamani
http://arxiv.org/abs/2108.06911v1

• [cs.LG]Optimal Approximation with Sparse Neural Networks and Applications
Khay Boon Hong
http://arxiv.org/abs/2108.06467v1

• [cs.LG]Optimal and Efficient Algorithms for General Mixable Losses against Switching Oracles
Kaan Gokcesu, Hakan Gokcesu
http://arxiv.org/abs/2108.06411v1

• [cs.LG]Policy Evaluation and Temporal-Difference Learning in Continuous Time and Space: A Martingale Approach
Yanwei Jia, Xun Yu Zhou
http://arxiv.org/abs/2108.06655v1

• [cs.LG]Provable Data Clustering via Innovation Search
Weiwei Li, Mostafa Rahmani, Ping Li
http://arxiv.org/abs/2108.06888v1

• [cs.LG]Reducing the Communication Cost of Federated Learning through Multistage Optimization
Charlie Hou, Kiran K. Thekumparampil, Giulia Fanti, Sewoong Oh
http://arxiv.org/abs/2108.06869v1

• [cs.LG]Robust Hierarchical Clustering for Directed Networks: An Axiomatic Approach
Gunnar Carlsson, Facundo Mémoli, Santiago Segarra
http://arxiv.org/abs/2108.07247v1

• [cs.LG]Task-Sensitive Concept Drift Detector with Metric Learning
Andrea Castellani, Sebastian Schmitt, Barbara Hammer
http://arxiv.org/abs/2108.06980v1

• [cs.LG]Task-wise Split Gradient Boosting Trees for Multi-center Diabetes Prediction
Mingcheng Chen, Zhenghui Wang, Zhiyun Zhao, Weinan Zhang, Xiawei Guo, Jian Shen, Yanru Qu, Jieli Lu, Min Xu, Yu Xu, Tiange Wang, Mian Li, Wei-Wei Tu, Yong Yu, Yufang Bi, Weiqing Wang, Guang Ning
http://arxiv.org/abs/2108.07107v1

• [cs.LG]The Sharpe predictor for fairness in machine learning
Suyun Liu, Luis Nunes Vicente
http://arxiv.org/abs/2108.06415v1

• [cs.LG]Towards Understanding Theoretical Advantages of Complex-Reaction Networks
Shao-Qun Zhang, Gao Wei, Zhi-Hua Zhou
http://arxiv.org/abs/2108.06711v1

• [cs.LG]Towards a Safety Case for Hardware Fault Tolerance in Convolutional Neural Networks Using Activation Range Supervision
Florian Geissler, Syed Qutub, Sayanta Roychowdhury, Ali Asgari, Yang Peng, Akash Dhamasia, Ralf Graefe, Karthik Pattabiraman, Michael Paulitsch
http://arxiv.org/abs/2108.07019v1

• [cs.LG]Training for the Future: A Simple Gradient Interpolation Loss to Generalize Along Time
Anshul Nasery, Soumyadeep Thakur, Vihari Piratla, Abir De, Sunita Sarawagi
http://arxiv.org/abs/2108.06721v1

• [cs.LG]Using Cyber Terrain in Reinforcement Learning for Penetration Testing
Rohit Gangupantulu, Tyler Cody, Paul Park, Abdul Rahman, Logan Eisenbeiser, Dan Radke, Ryan Clark
http://arxiv.org/abs/2108.07124v1

• [cs.LG]WiseR: An end-to-end structure learning and deployment framework for causal graphical models
Shubham Maheshwari, Khushbu Pahwa, Tavpritesh Sethi
http://arxiv.org/abs/2108.07046v1

• [cs.MA]Tracking Multiple Fast Targets With Swarms: Interplay Between Social Interaction and Agent Memory
Hian Lee Kwa, Jabez Leong Kit, Roland Bouffanais
http://arxiv.org/abs/2108.07122v1

• [cs.NE]Evolutionary Algorithms in Approximate Computing: A Survey
Lukas Sekanina
http://arxiv.org/abs/2108.07000v1

• [cs.NI]Learning from Images: Proactive Caching with Parallel Convolutional Neural Networks
Yantong Wang, Ye Hu, Zhaohui Yang, Walid Saad, Kai-Kit Wong, Vasilis Friderikos
http://arxiv.org/abs/2108.06817v1

• [cs.NI]Prediction Analysis of Optical Tracker Parameters using Machine Learning Approaches for efficient Head Tracking
Aman Kataria, Smarajit Ghosh, Vinod Karar
http://arxiv.org/abs/2108.06606v1

• [cs.NI]SINA - Smart Interoperability Architecture An architecture fostering the interoperability between smart building technology from different manufacturers and smart grid infrastructure to enable new business models for energy services
Andreas Rumsch, Christoph Imboden, Alberto Calatroni, Martin Camenzind, Edith Birrer, Andrew Paice
http://arxiv.org/abs/2108.06410v1

• [cs.NI]Spatial Temporal Analysis of 40,000,000,000,000 Internet Darkspace Packets
Jeremy Kepner, Michael Jones, Daniel Andersen, Aydin Buluc, Chansup Byun, K Claffy, Timothy Davis, William Arcand, Jonathan Bernays, David Bestor, William Bergeron, Vijay Gadepally, Micheal Houle, Matthew Hubbell, Anna Klein, Chad Meiners, Lauren Milechin, Julie Mullen, Sandeep Pisharody, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Doug Stetson, Adam Tse, Charles Yee, Peter Michaleas
http://arxiv.org/abs/2108.06653v1

• [cs.RO]A Morphing Quadrotor that Can Optimize Morphology for Transportation
Chanyoung Kim, Hyungyu Lee, Myeongwoo Jeong, Hyun Myung
http://arxiv.org/abs/2108.06759v1

• [cs.RO]A Vision-based Irregular Obstacle Avoidance Framework via Deep Reinforcement Learning
Lingping Gao, Jianchuan Ding, Wenxi Liu, Haiyin Piao, Yuxin Wang, Xin Yang, Baocai Yin
http://arxiv.org/abs/2108.06887v1

• [cs.RO]Adaptive Selection of Informative Path Planning Strategies via Reinforcement Learning
Taeyeong Choi, Grzegorz Cielniak
http://arxiv.org/abs/2108.06618v1

• [cs.RO]Augmenting GRIPS with Heuristic Sampling for Planning Feasible Trajectories of a Car-Like Robot
Brian Angulo, Konstantin Yakovlev, Ivan Radionov
http://arxiv.org/abs/2108.06789v1

• [cs.RO]Constrained Iterative LQG for Real-Time Chance-ConstrainedGaussian Belief Space Planning
Jianyu Chen, Yutaka Shimizu, Liting Sun, Masayoshi Tomizuka, Wei Zhan
http://arxiv.org/abs/2108.06533v1

• [cs.RO]Data Generation for Learning to Grasp in a Bin-picking Scenario
Yiting Chen, Miao Li
http://arxiv.org/abs/2108.06532v1

• [cs.RO]Decentralized Multi-AGV Task Allocation based on Multi-Agent Reinforcement Learning with Information Potential Field Rewards
Mengyuan Li, Bin Guo, Jiangshan Zhang, Jiaqi Liu, Sicong Liu, Zhiwen Yu, Zhetao Li, Liyao Xiang
http://arxiv.org/abs/2108.06886v1

• [cs.RO]Distributed Control of Truss Robots Using Consensus Alternating Direction Method of Multipliers
Nathan S. Usevitch, Trevor Halsted, Zachary M. Hammond, Allison M. Okamura, Mac Schwager
http://arxiv.org/abs/2108.06577v1

• [cs.RO]Efficient Anytime CLF Reactive Planning System for a Bipedal Robot on Undulating Terrain
Jiunn-Kai Huang, Jessy W. Grizzle
http://arxiv.org/abs/2108.06699v1

• [cs.RO]Force-feedback based Whole-body Stabilizer for Position-Controlled Humanoid Robots
Shunpeng Yang, Hua Chen, Zhen Fu, Wei Zhang
http://arxiv.org/abs/2108.06652v1

• [cs.RO]Learning Dynamical System for Grasping Motion
Xiao Gao, Miao Li, Xiaohui Xiao
http://arxiv.org/abs/2108.06728v1

• [cs.RO]Learning Friction Model for Tethered Capsule Robot
Yi Wang, Yuchen He, Xutian Deng, Ziwei Lei, Yiting Chen, Miao Li
http://arxiv.org/abs/2108.07151v1

• [cs.RO]Monocular visual autonomous landing system for quadcopter drones using software in the loop
Miguel Saavedra-Ruiz, Ana Mario Pinto-Vargas, Victor Romero-Cano
http://arxiv.org/abs/2108.06616v1

• [cs.RO]Proximity Perception in Human-Centered Robotics: A Survey on Sensing Systems and Applications
Stefan Escaida Navarro, Stephan Mühlbacher-Karrer, Hosam Alagi, Hubert Zangl, Keisuke Koyama, Björn Hein, Christian Duriez, Joshua R. Smith
http://arxiv.org/abs/
g/abs/2108.07206v1
g/abs/2108.07206v1)

• [cs.RO]Sharing Cognition: Human Gesture and Natural Language Grounding Based Planning and Navigation for Indoor Robots
Gourav Kumar, Soumyadip Maity, Ruddra dev Roychoudhury, Brojeshwar Bhowmick
http://arxiv.org/abs/2108.06478v1

• [cs.RO]Smart Pointers and Shared Memory Synchronisation for Efficient Inter-process Communication in ROS on an Autonomous Vehicle
Costin Iordache, Stephen M. Fendyke, Mike J. Jones, Robert A. Buckley
http://arxiv.org/abs/2108.07085v1

• [cs.RO]The Geometric Structure of Externally Actuated Planar Locomoting Systems in Ambient Media
Blake Buchanan, Tony Dear, Scott Kelly, Matthew Travers, Howie Choset
http://arxiv.org/abs/2108.06442v1

• [cs.RO]The Integrated Probabilistic Data Association Filter Adapted to Lie Groups
Mark E. Petersen, Randal W. Beard
http://arxiv.org/abs/2108.07265v1

• [cs.SD]NIST SRE CTS Superset: A large-scale dataset for telephony speaker recognition
Seyed Omid Sadjadi
http://arxiv.org/abs/2108.07118v1

• [cs.SE]On Multi-Modal Learning of Editing Source Code
Saikat Chakraborty, Baishakhi Ray
http://arxiv.org/abs/2108.06645v1

• [cs.SE]Supply of engineering techniques and software design patterns in psychoanalysis and psychometrics sciences
Omid Shokrollahi
http://arxiv.org/abs/2108.06963v1

• [cs.SI]‘Walking Into a Fire Hoping You Don’t Catch’: Strategies and Designs to Facilitate Cross-Partisan Online Discussions
Ashwin Rajadesingan, Carolyn Duran, Paul Resnick, Ceren Budak
http://arxiv.org/abs/2108.06830v1

• [cs.SI]A Longitudinal Analysis on Instagram Characteristics of Olympic Champions
Amirhosein Bodaghi
http://arxiv.org/abs/2108.07138v1

• [cs.SI]A complex network approach to time series analysis with application in diagnosis of neuromuscular disorders
Samaneh Samiei, Nasser Ghadiri, Behnaz Ansari
http://arxiv.org/abs/2108.06920v1

• [cs.SI]Decision Making in Project Groups Formation: Students’ Perception and Reconciliation
Rajeshwari K, Apurva Rohit Hegde, Drishika Patil
http://arxiv.org/abs/2108.06933v1

• [cs.SI]Successful New-entry Prediction for Multi-Party Online Conversations via Latent Topics and Discourse Modeling
Lingzhi Wang, Jing Li, Xingshan Zeng, Kam-Fai Wong
http://arxiv.org/abs/2108.06975v1

• [cs.SI]The Information Ecosystem of Online Groups with Anti- and Pro-vaccine Views on Facebook
Soojong Kim, Kwanho Kim
http://arxiv.org/abs/2108.06641v1

• [cs.SI]Topology-Guided Sampling for Fast and Accurate Community Detection
Frank Wanye, Vitaliy Gleyzer, Edward Kao, Wu-chun Feng
http://arxiv.org/abs/2108.06651v1

• [econ.EM]Dimensionality Reduction and State Space Systems: Forecasting the US Treasury Yields Using Frequentist and Bayesian VARs
Sudiksha Joshi
http://arxiv.org/abs/2108.06553v1

• [econ.EM]Evidence Aggregation for Treatment Choice
Takuya Ishihara, Toru Kitagawa
http://arxiv.org/abs/2108.06473v1

• [eess.AS]GC-TTS: Few-shot Speaker Adaptation with Geometric Constraints
Ji-Hoon Kim, Sang-Hoon Lee, Ji-Hyun Lee, Hong-Gyu Jung, Seong-Whan Lee
http://arxiv.org/abs/2108.06890v1

• [eess.IV]Continuous-Time Spatiotemporal Calibration of a Rolling Shutter Camera—-IMU System
Jianzhu Huai, Yuan Zhuang, Qicheng Yuan, Yukai Lin
http://arxiv.org/abs/2108.07200v1

• [eess.IV]High-dimensional Assisted Generative Model for Color Image Restoration
Kai Hong, Chunhua Wu, Cailian Yang, Minghui Zhang, Yancheng Lu, Yuhao Wang, Qiegen Liu
http://arxiv.org/abs/2108.06460v1

• [eess.SP]Optimal Scheduling of Isolated Microgrids Using Automated Reinforcement Learning-based Multi-period Forecasting
Yang Li, Ruinong Wang, Zhen Yang
http://arxiv.org/abs/2108.06764v1

• [eess.SP]Reception strategies for sky-ground uplink non-orthogonal multiple access
Donatella Darsena, Ivan Iudice, Francesco Verde
http://arxiv.org/abs/2108.06713v1

• [eess.SY]A Two-Layer Near-Optimal Strategy for Substation Constraint Management via Home Batteries
Igor Melatti, Federico Mari, Toni Mancini, Milan Prodanovic, Enrico Tronci
http://arxiv.org/abs/2108.06735v1

• [eess.SY]Hybrid Gaussian Process Modeling Applied to Economic Stochastic Model Predictive Control of Batch Processes
E. Bradford, L. Imsland, M. Reble, E. A. del Rio-Chanona
http://arxiv.org/abs/2108.06430v1

• [math.NA]The Neural Network shifted-Proper Orthogonal Decomposition: a Machine Learning Approach for Non-linear Reduction of Hyperbolic Equations
Davide Papapicco, Nicola Demo, Michele Girfoglio, Giovanni Stabile, Gianluigi Rozza
http://arxiv.org/abs/2108.06558v1

• [math.ST]Adaptive optimal estimation of irregular mean and covariance functions
Steven Golovkine, Nicolas Klutchnikoff, Valentin Patilea
http://arxiv.org/abs/2108.06507v1

• [math.ST]Confidence sets in a sparse stochastic block model with two communities of unknown sizes
B. J. K. Kleijn, J. van Waaij
http://arxiv.org/abs/2108.07078v1

• [math.ST]Logistic or not logistic?
James S. Allison, Bruno Ebner, Marius Smuts
http://arxiv.org/abs/2108.07036v1

• [math.ST]Mean Test with Fewer Observation than Dimension and Ratio Unbiased Estimator for Correlation Matrix
Tiefeng Jiang, Ping Li
http://arxiv.org/abs/2108.06892v1

• [math.ST]On Azadkia-Chatterjee’s conditional dependence coefficient
Hongjian Shi, Mathias Drton, Fang Han
http://arxiv.org/abs/2108.06827v1

• [math.ST]On Support Recovery with Sparse CCA: Information Theoretic and Computational Limits
Nilanjana Laha, Rajarshi Mukherjee
http://arxiv.org/abs/2108.06463v1

• [math.ST]On boosting the power of Chatterjee’s rank correlation
Zhexiao Lin, Fang Han
http://arxiv.org/abs/2108.06828v1

• [math.ST]On singular values of data matrices with general independent columns
Tianxing Mei, Chen Wang, Jianfeng Yao
http://arxiv.org/abs/2108.06677v1

• [math.ST]Smoluchowski processes and nonparametric estimation of functionals of particle displacement distributions from count data
A. Goldenshluger, R. Jacobovic
http://arxiv.org/abs/2108.06954v1

• [math.ST]Statistical inference for the slope parameter in functional linear regression
Tim Kutta, Gauthier Dierickx, Holger Dette
http://arxiv.org/abs/2108.07098v1

• [math.ST]Uniform Function Estimators in Reproducing Kernel Hilbert Spaces
Paul Dommel, Alois Pichler
http://arxiv.org/abs/2108.06953v1

• [physics.comp-ph]Variational Inference at Glacier Scale
Douglas J. Brinkerhoff
http://arxiv.org/abs/2108.07263v1

• [physics.data-an]Spectral Detection of Simplicial Communities via Hodge Laplacians
Sanjukta Krishnagopal, Ginestra Bianconi
http://arxiv.org/abs/2108.06547v1

• [quant-ph]How Deep the Theory of Quantum Communications Goes: Superadditivity, Superactivation and Causal Activation
Seid Koudia, Angela Sara Cacciapuoti, Marcello Caleffi
http://arxiv.org/abs/2108.07108v1

• [stat.AP]Adaptive Gradient Descent Methods for Computing Implied Volatility
Yixiao Lu, Yihong Wang, Tinggan Yang
http://arxiv.org/abs/2108.07035v1

• [stat.CO]A fast asynchronous MCMC sampler for sparse Bayesian inference
Yves Atchadé, Liwei Wang
http://arxiv.org/abs/2108.06446v1

• [stat.ME]A Bayesian group sequential schema for ordinal endpoints
Chengxue Zhong, Hongyu Miao, Haitao Pan
http://arxiv.org/abs/2108.06568v1

• [stat.ME]A new omnibus test of fit based on a characterisation of the uniform distribution
Bruno Ebner, Shawn Liebenberg, Jaco Visagie
http://arxiv.org/abs/2108.06391v1

• [stat.ME]Accounting for multiple imputation-induced variability for differential analysis in mass spectrometry-based label-free quantitative proteomics
Marie Chion, Christine Carapito, Frédéric Bertrand
http://arxiv.org/abs/2108.07086v1

• [stat.ME]Analyzing insurance data with an exponentiated composite Inverse-Gamma Pareto model
Bowen Liu, Malwane M. A. Ananda
http://arxiv.org/abs/2108.06454v1

• [stat.ME]Bayesian Parameter Estimations for Grey System Models in Online Traffic Speed Predictions
Gurcan Comert, Negash Begashaw, Negash G. Medhin
http://arxiv.org/abs/2108.06839v1

• [stat.ME]Estimation When Both Covariance And Precision Matrices Are Sparse
Shev Macnamara, Erik Schlögl, Zdravko I. Botev
http://arxiv.org/abs/2108.06638v1

• [stat.ME]Flexible Principal Component Analysis for Exponential Family Distributions
Tonglin Zhang, Baijian Yang, Qianqian Song, Jing Su
http://arxiv.org/abs/2108.06876v1

• [stat.ME]Mixed models for repeated measures should include time-by-covariate interactions to assure power gains and robustness against dropout bias relative to complete-case ANCOVA
Alejandro Schuler
http://arxiv.org/abs/2108.06621v1

• [stat.ME]Revisiting Empirical Bayes Methods and Applications to Special Types of Data
Xiuwen Duan
http://arxiv.org/abs/2108.07227v1

• [stat.ME]The Proximal ID Algorithm
Ilya Shpitser, Zach Wood-Doughty, Eric J. Tchetgen Tchetgen
http://arxiv.org/abs/2108.06818v1

• [stat.ML]Equity-Directed Bootstrapping: Examples and Analysis
Harish S. Bhat, Majerle E. Reeves, Sidra Goldman-Mellor
http://arxiv.org/abs/2108.06624v1

• [stat.ML]Interpreting and improving deep-learning models with reality checks
Chandan Singh, Wooseok Ha, Bin Yu
http://arxiv.org/abs/2108.06847v1

• [stat.ML]Non-Local Feature Aggregation on Graphs via Latent Fixed Data Structures
Mostafa Rahmani, Rasoul Shafipour, Ping Li
http://arxiv.org/abs/2108.07028v1

• [stat.ML]Robust Trimmed k-means
Olga Dorabiala, J. Nathan Kutz, Aleksandr Aravkin
http://arxiv.org/abs/2108.07186v1

• [stat.ML]Time Delay Estimation of Traffic Congestion Propagation based on Transfer Entropy
YongKyung Oh, JiIn Kwak, JuYoung Lee, Sungil Kim
http://arxiv.org/abs/2108.06717v1

• [stat.ML]Weakly Supervised Continual Learning
Matteo Boschini, Pietro Buzzega, Lorenzo Bonicelli, Angelo Porrello, Simone Calderara
http://arxiv.org/abs/2108.06552v1