cs.AI - 人工智能
    cs.AR - 硬件体系结构
    cs.CE - 计算工程、 金融和科学
    cs.CL - 计算与语言
    cs.CR - 加密与安全
    cs.CV - 机器视觉与模式识别
    cs.CY - 计算与社会
    cs.DB - 数据库
    cs.DC - 分布式、并行与集群计算
    cs.GT - 计算机科学与博弈论
    cs.HC - 人机接口
    cs.IR - 信息检索
    cs.IT - 信息论
    cs.LG - 自动学习
    cs.MA - 多代理系统
    cs.MM - 多媒体
    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.SC - 符号计算
    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.IV - 图像与视频处理
    eess.SP - 信号处理
    eess.SY - 系统和控制
    math.DS - 动力系统
    math.OC - 优化与控制
    math.ST - 统计理论
    physics.chem-ph -化学物理
    physics.comp-ph - 计算物理学
    physics.med-ph - 医学物理学
    q-bio.GN - 基因组学
    q-fin.CP -计算金融学
    q-fin.PR - 证券定价
    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 review of approaches to modeling applied vehicle routing problems
    • [cs.AI]Actions You Can Handle: Dependent Types for AI Plans
    • [cs.AI]Alternating Fixpoint Operator for Hybrid MKNF Knowledge Bases as an Approximator of AFT
    • [cs.AI]An Efficient Application of Neuroevolution for Competitive Multiagent Learning
    • [cs.AI]Argumentative XAI: A Survey
    • [cs.AI]Digital-Twin-Based Improvements to Diagnosis, Prognosis, Strategy Assessment, and Discrepancy Checking in a Nearly Autonomous Management and Control System
    • [cs.AI]Learning First-Order Representations for Planning from Black-Box States: New Results
    • [cs.AI]Modelling the development of counting with memory-augmented neural networks
    • [cs.AI]Partition Function Estimation: A Quantitative Study
    • [cs.AI]Towards Knowledge Organization Ecosystems
    • [cs.AR]27.5-29.5 GHz Switched Array Sounder for Dynamic Channel Characterization: Design, Implementation and Measurements
    • [cs.AR]GNNIE:
    10d8
    GNN Inference Engine with Load-balancing and Graph-Specific Caching
    • [cs.CE]Addressing the Multiplicity of Solutions in Optical Lens Design as a Niching Evolutionary Algorithms Computational Challenge
    • [cs.CL]Abusive Language Detection in Heterogeneous Contexts: Dataset Collection and the Role of Supervised Attention
    • [cs.CL]Assessing perceived organizational leadership styles through twitter text mining
    • [cs.CL]Automatic Product Ontology Extraction from Textual Reviews
    • [cs.CL]CEREC: A Corpus for Entity Resolution in Email Conversations
    • [cs.CL]CiteWorth: Cite-Worthiness Detection for Improved Scientific Document Understanding
    • [cs.CL]Classifying Math KCs via Task-Adaptive Pre-Trained BERT
    • [cs.CL]Context-Preserving Text Simplification
    • [cs.CL]Controlling Text Edition by Changing Answers of Specific Questions
    • [cs.CL]Cross-lingual Text Classification with Heterogeneous Graph Neural Network
    • [cs.CL]DaN+: Danish Nested Named Entities and Lexical Normalization
    • [cs.CL]De-identification of Privacy-related Entities in Job Postings
    • [cs.CL]Diacritics Restoration using BERT with Analysis on Czech language
    • [cs.CL]Distantly-Supervised Long-Tailed Relation Extraction Using Constraint Graphs
    • [cs.CL]Editorial introduction: The power of words and networks
    • [cs.CL]Few-Shot Upsampling for Protest Size Detection
    • [cs.CL]Hater-O-Genius Aggression Classification using Capsule Networks
    • [cs.CL]IITP at AILA 2019: System Report for Artificial Intelligence for Legal Assistance Shared Task
    • [cs.CL]Introducing the Talk Markup Language (TalkML):Adding a little social intelligence to industrial speech interfaces
    • [cs.CL]Neural Language Models for Nineteenth-Century English
    • [cs.CL]Neural Machine Translation with Monolingual Translation Memory
    • [cs.CL]One2Set: Generating Diverse Keyphrases as a Set
    • [cs.CL]PTR: Prompt Tuning with Rules for Text Classification
    • [cs.CL]Prevent the Language Model from being Overconfident in Neural Machine Translation
    • [cs.CL]RST Parsing from Scratch
    • [cs.CL]Reproducibility Report: Contextualizing Hate Speech Classifiers with Post-hoc Explanation
    • [cs.CL]Retrieval Enhanced Model for Commonsense Generation
    • [cs.CL]RobeCzech: Czech RoBERTa, a monolingual contextualized language representation model
    • [cs.CL]Self-Attention Networks Can Process Bounded Hierarchical Languages
    • [cs.CL]Structural Pre-training for Dialogue Comprehension
    • [cs.CL]StructuralLM: Structural Pre-training for Form Understanding
    • [cs.CL]Towards Standard Criteria for human evaluation of Chatbots: A Survey
    • [cs.CL]Towards a Universal NLG for Dialogue Systems and Simulators with Future Bridging
    • [cs.CL]True Few-Shot Learning with Language Models
    • [cs.CL]Unsupervised Speech Recognition
    • [cs.CL]Using Adversarial Attacks to Reveal the Statistical Bias in Machine Reading Comprehension Models
    • [cs.CL]VANiLLa : Verbalized Answers in Natural Language at Large Scale
    • [cs.CL]View Distillation with Unlabeled Data for Extracting Adverse Drug Effects from User-Generated Data
    • [cs.CR]Adversarial Attacks and Mitigation for Anomaly De
    a10
    tectors of Cyber-Physical Systems
    • [cs.CR]Killing Two Birds with One Stone: Stealing Model and Inferring Attribute from BERT-based APIs
    • [cs.CR]Learning Security Classifiers with Verified Global Robustness Properties
    • [cs.CV]A Fourier-based Framework for Domain Generalization
    • [cs.CV]A hybrid classification-regression approach for 3D hand pose estimation using graph convolutional networks
    • [cs.CV]ADNet: Attention-guided Deformable Convolutional Network for High Dynamic Range Imaging
    • [cs.CV]Adapted Human Pose: Monocular 3D Human Pose Estimation with Zero Real 3D Pose Data
    • [cs.CV]Attention-guided Temporal Coherent Video Object Matting
    • [cs.CV]Automated Knee X-ray Report Generation
    • [cs.CV]Boosting Crowd Counting with Transformers
    • [cs.CV]CMUA-Watermark: A Cross-Model Universal Adversarial Watermark for Combating Deepfakes
    • [cs.CV]COTR: Convolution in Transformer Network for End to End Polyp Detection
    • [cs.CV]Coarse to Fine Multi-Resolution Temporal Convolutional Network
    • [cs.CV]Deep Visual Anomaly detection with Negative Learning
    • [cs.CV]Dynamic Class Queue for Large Scale Face Recognition In the Wild
    • [cs.CV]Embracing New Techniques in Deep Learning for Estimating Image Memorability
    • [cs.CV]End-to-End Video Object Detection with Spatial-Temporal Transformers
    • [cs.CV]Exploring Robustness of Unsupervised Domain Adaptation in Semantic Segmentation
    • [cs.CV]FCCDN: Feature Constraint Network for VHR Image Change Detection
    • [cs.CV]Face Anonymization by Manipulating Decoupled Identity Representation
    • [cs.CV]FineAction: A Fined Video Dataset for Temporal Action Localization
    • [cs.CV]GOO: A Dataset for Gaze Object Prediction in Retail Environments
    • [cs.CV]HOME: Heatmap Output for future Motion Estimation
    • [cs.CV]Heuristic Weakly Supervised 3D Human Pose Estimation in Novel Contexts without Any 3D Pose Ground Truth
    • [cs.CV]High-level camera-LiDAR fusion for 3D object detection with machine learning
    • [cs.CV]Human-centric Relation Segmentation: Dataset and Solution
    • [cs.CV]Large-Scale Attribute-Object Compositions
    • [cs.CV]LineCounter: Learning Handwritten Text Line Segmentation by Counting
    • [cs.CV]Mapping oil palm density at country scale: An active learning approach
    • [cs.CV]Multi-Level Attentive Convoluntional Neural Network for Crowd Counting
    • [cs.CV]Multi-Type-TD-TSR — Extracting Tables from Document Images using a Multi-stage Pipeline for Table Detection and Table Structure Recognition: from OCR to Structured Table Representations
    • [cs.CV]Multi-modal Understanding and Generation for Medical Images and Text via Vision-Language Pre-Training
    • [cs.CV]Oriented RepPoints for Aerial Object Detection
    • [cs.CV]Out-of-Distribution Detection in Dermatology using Input Perturbation and Subset Scanning
    • [cs.CV]PAL: Intelligence Augmentation using Egocentric Visual Context Detection
    • [cs.CV]PLM: Partial Label Masking for Imbalanced Multi-label Classification
    • [cs.CV]Real-time Human Action Recognition Using Locally Aggregated Kinematic-Guided Skeletonlet and Supervised Hashing-by-Analysis Model
    • [cs.CV]Recent Advances and Trends in Multimodal Deep Learning: A Review
    • [cs.CV]Reconstructing Small 3D Objects in front of a Textured Background
    • [cs.CV]Revisiting 2D Convolutional Neural Networks for Graph-based Applications
    • [cs.CV]Revisiting Knowledge Distillation for Object Detection
    • [cs.CV]SAT: 2D Semantics Assisted Training for 3D Visual Grounding
    • [cs.CV]Searching Collaborative Agents for Multi-plane Localization in 3D Ultrasound
    • [cs.CV]Semi-Supervised Few-Shot Classification with Deep Invertible Hybrid Models
    • [cs.CV]SiamRCR: Reciprocal Classification and Regression for Visual Object Tracking
    • [cs.CV]Skeleton-aware multi-scale heatmap regression for 2D hand pose estimation
    • [cs.CV]Soccer Player Tracking in Low Quality Video
    • [cs.CV]Stereo Matching Based on Visual Sensitive Information
    • [cs.CV]Taylor saves for later: disentanglement for video prediction using Taylor representation
    • [cs.CV]Texture synthesis via projection onto multiscale, multilayer statistics
    • [cs.CV]Towards Automatic Recognition of Pure & Mixed Stones using Intraoperative Endoscopic Digital Images
    • [cs.CV]Towards Book Cover Design via Layout Graphs
    • [cs.CV]Towards Compact CNNs via Collaborative Compression
    • [cs.CV]Unsupervised Video Summarization with a Convolutional Attentive Adversarial Network
    • [cs.CV]VS-Net: Voting with Segmentation for Visual Localization
    • [cs.CV]Video-based Person Re-identification without Bells and Whistles
    • [cs.CV]Weakly Supervised Instance Attention for Multisource Fine-Grained Object Recognition
    • [cs.CV]Weakly-supervised Cross-view 3D Human Pose Estimation
    • [cs.CV]What is the State of the Art of Computer Vision-Assisted Cytology? A Systematic Literature Review
    • [cs.CV]Wisdom for the Crowd: Discoursive Power in Annotation Instructions for Computer Vision
    • [cs.CV]luvHarris: A Practical Corner Detector for Event-cameras
    • [cs.CY]Assessment and Decision-Making in Universities: Analytics of the Administration-Staff Compromises
    • [cs.CY]Coupling Power Laws Offers a Powerful Method for Problems such as Biodiversity and COVID-19 Fatality Predictions
    • [cs.CY]Measuring Lay Reactions to Personal Data Markets
    • [cs.CY]Sugestões de Rotas Personalizadas para Carrinheiros na Coleta Seletiva de Materiais Recicláveis
    • [cs.DB]A Query Language for Summarizing and Analyzing Business Process Data
    • [cs.DB]Harmless but Useful: Beyond Separable Equality Constraints in Datalog+/-
    • [cs.DC]Automated Dynamic Concurrency Analysis for Go
    • [cs.DC]Automatic task-based parallelization of C++ applications by source-to-source transformations
    • [cs.DC]Challenges of Translating HPC codes to Workflows for Heterogeneous and Dynamic Environments
    • [cs.DC]Classifying Trusted Hardware via Unidirectional Communication
    • [cs.DC]Distributed CNN Inference on Resource-Constrained UAVs for Surveillance Systems: Design and Optimization
    • [cs.DC]Dorylus: Affordable, Scalable, and Accurate GNN Training over Billion-Edge Graphs
    • [cs.DC]FAASNET: Scalable and Fast Provisioning of Custom Serverless ContainerRuntimes at Alibaba Cloud Function Compute
    • [cs.DC]Multilayer Resource-aware Partitioning for Fog Application Placement
    • [cs.DC]Towards Parallel CFD computation for the ADAPT framework
    • [cs.GT]Criticality and Utility-aware Fog Computing System for Remote Health Monitoring
    • [cs.GT]PROPm Allocations of Indivisible Goods to Multiple Agents
    • [cs.HC]Who/What is My Teammate? Team Composition Considerations in Human-AI Teaming
    • [cs.IR]CITIES: Contextual Inference of Tail-Item Embeddings for Sequential Recommendation
    • [cs.IR]Deconfounded Recommendation for Alleviating Bias Amplification
    • [cs.IR]OntoED: Low-resource Event Detection with Ontology Embedding
    • [cs.IR]Pre-trained Language Model based Ranking in Baidu Search
    • [cs.IT]A Practical Consideration on Convex Mutual Information
    • [cs.IT]Application of Opportunistic Bit to Multilevel Codes
    • [cs.IT]Byzantine-Resilient Federated Machine Learning via Over-the-Air Computation
    • [cs.IT]Centralized Learning of the Distributed Downlink Channel Estimators in FDD Systems using Uplink Data
    • [cs.IT]Constructions of Binary Optimal Locally Repairable Codes via Intersection Subspaces
    • [cs.IT]Determination of the Autocorrelation Distribution and 2-Adic Complexity of Generalized Cyclotomic Binary Sequences of Order 2 with Period pq
    • [cs.IT]Enhanced Fairness and Scalability of Power Control Schemes in Multi-Cell Massive MIMO
    • [cs.IT]Finite Blocklength Secrecy Analysis of Polar and Reed-Muller Codes in BEC Semi-Deterministic Wiretap Channels
    • [cs.IT]Frequency Permutations for Joint Radar and Communications
    • [cs.IT]Fuzzy inference system application for oil-water flow patterns identification
    • [cs.IT]Graph-based Detection of Multiuser Impulse Radio Systems
    • [cs.IT]Interplay Between NOMA and GSSK: Detection Strategies and Performance Analysis
    • [cs.IT]On the Optimality of the Stationary Solution of Secrecy Rate Maximization for MIMO Wiretap Channel
    • [cs.IT]Sparse Affine Sampling: Ambiguity-Free and Efficient Sparse Phase Retrieval
    • [cs.IT]Time-Gated Photon Counting Receivers for Optical Wireless Communication
    • [cs.IT]Trade-off Energy and Spectral Efficiency in 5G Massive MIMO System
    • [cs.IT]Two-to-one mappings and involutions without fixed points over~今日学术视野(2021.5.26) - 图1
    • [cs.LG]2nd-order Updates with 1st-order Complexity
    • [cs.LG]A Robust and Generalized Framework for Adversarial Graph Embedding
    • [cs.LG]A Study imbalance handling by various data sampling methods in binary classification
    • [cs.LG]AutoLRS: Automatic Learning-Rate Schedule by Bayesian Optimization on the Fly
    • [cs.LG]Cascading Bandit under Differential Privacy
    • [cs.LG]Combinatorial Blocking Bandits with Stochastic Delays
    • [cs.LG]Compressing Heavy-Tailed Weight Matrices for Non-Vacuous Generalization Bounds
    • [cs.LG]Continual World: A Robotic Benchmark For Continual Reinforcement Learning
    • [cs.LG]Cost-Accuracy Aware Adaptive Labeling for Active Learning
    • [cs.LG]Denoising Noisy Neural Networks: A Bayesian Approach with Compensation
    • [cs.LG]DepressionNet: A Novel Summarization Boosted Deep Framework for Depression Detection on Social Media
    • [cs.LG]Fast Federated Learning by Balancing Communication Trade-Offs
    • [cs.LG]Feasible Actor-Critic: Constrained Reinforcement Learning for Ensuring Statewise Safety
    • [cs.LG]Feature Encoding with AutoEncoders for Weakly-supervised Anomaly Detection
    • [cs.LG]Fed-NILM: A Federated Learning-based Non-Intrusive Load Monitoring Method for Privacy-Protection
    • [cs.LG]FedScale: Benchmarking Model and System Performance of Federated Learning
    • [cs.LG]Federated Graph Learning — A Position Paper
    • [cs.LG]From Finite to Countable-Armed Bandits
    • [cs.LG]GMAC: A Distributional Perspective on Actor-Critic Framework
    • [cs.LG]Generation and Analysis of Feature-Dependent Pseudo Noise for Training Deep Neural Networks
    • [cs.LG]Heterogeneous Graph Representation Learning with Relation Awareness
    • [cs.LG]HyFed: A Hybrid Federated Framework for Privacy-preserving Machine Learning
    • [cs.LG]Hypergraph Pre-training with Graph Neural Networks
    • [cs.LG]Improved OOD Generalization via Adversarial Training and Pre-training
    • [cs.LG]Inclusion of Domain-Knowledge into GNNs using Mode-Directed Inverse Entailment
    • [cs.LG]Learning Baseline Values for Shapley Values
    • [cs.LG]Learning Green’s Functions of Linear Reaction-Diffusion Equations with Application to Fast Numerical Solver
    • [cs.LG]Machine Learning Regression based Single Event Transient Modeling Method for Circuit-Level Simulation
    • [cs.LG]MultiFair: Multi-Group Fairness in Machine Learning
    • [cs.LG]Novel Deep Learning Architecture for Heart Disease Prediction using Convolutional Neural Network
    • [cs.LG]Optimized conformal classification using gradient descent approximation
    • [cs.LG]Policy Mirror Descent for Regularized Reinforcement Learning: A Generalized Framework with Linear Convergence
    • [cs.LG]Position-Sensing Graph Neural Networks: Proactively Learning Nodes Relative Positions
    • [cs.LG]Post-Training Sparsity-Aware Quantization
    • [cs.LG]Privacy Amplification Via Bernoulli Sampling
    • [cs.LG]Properties of the After Kernel
    • [cs.LG]Regularization Can Help Mitigate Poisoning Attacks… with the Right Hyperparameters
    • [cs.LG]Room Clearance with Feudal Hierarchical Reinforcement Learning
    • [cs.LG]RtFPS: An Interactive Map that Visualizes and Predicts Wildfires in the US
    • [cs.LG]Skew Orthogonal Convolutions
    • [cs.LG]SleepTransformer: Automatic Sleep Staging with Interpretability and Uncertainty Quantification
    • [cs.LG]THP: Topological Hawkes Processes for Learning Granger Causality on Event Sequences
    • [cs.LG]Techniques Toward Optimizing Viewability in RTB Ad Campaigns Using Reinforcement Learning
    • [cs.LG]Towards Artificial Intelligence Enabled Financial Crime Detection
    • [cs.LG]Two-stage Training for Learning from Label Proportions
    • [cs.MA]Attention-based Reinforcement Learning for Real-Time UAV Semantic Communication
    • [cs.MA]Cooperative Multi-Agent Path Finding: Beyond Path Planning and Collision Avoidance
    • [cs.MA]Programming and Deployment of Autonomous Swarms using Multi-Agent Reinforcement Learning
    • [cs.MM]Robust Watermarking using Diffusion of Logo into Autoencoder Feature Maps
    • [cs.NE]Multi-objective Optimisation of Digital Circuits based on Cell Mapping in an Industrial EDA Flow
    • [cs.NE]Photonic neural field on a silicon chip: large-scale, high-speed neuro-inspired computing and sensing
    • [cs.NE]Principled Design of Translation, Scale, and Rotation Invariant Variation Operators for Metaheuristics
    • [cs.NI]A Heuristic Approach to Efficient Deployment of SDN assisted UAV communication systems considering UAV Placement, Energy Consumption and Traffic Congestion
    • [cs.NI]AirNet: Neural Network Transmission over the Air
    • [cs.NI]Cybercosm: New Foundations for a Converged Science Data Ecosystem
    • [cs.NI]Decentralized, Hybrid MAC Design with Reduced State Information Exchange for Low-Delay IoT Applications
    • [cs.NI]Ising Machines’ Dynamics and Regularization for Near-Optimal Large and Massive MIMO Detection
    • [cs.NI]Latency of Concatenating Unlicensed LPWAN with Cellular IoT: An Experimental QoE Study
    • [cs.RO]Ankle Joints Are Beneficial When Optimizing Supported Real-world Bipedal Robot Gaits
    • [cs.RO]Belief Space Planning: A Covariance Steering Approach
    • [cs.RO]Bounds on Optimal Revisit Times in Persistent Monitoring Missions with a Distinct & Remote Service Station
    • [cs.RO]Coarse-to-Fine for Sim-to-Real: Sub-Millimetre Precision Across the Workspace
    • [cs.RO]Deep Learning Traversability Estimator for Mobile Robots in Unstructured Environments
    • [cs.RO]Design and Development of a Prototype Robotic Gripper
    • [cs.RO]Design, Construction and Implementation of Stewart Platform with Control of Rolling Ball on Platform through Artificial Vision
    • [cs.RO]Experimental Evaluation of a Hierarchical Operating Framework for Ground Robots in Agriculture
    • [cs.RO]Fixed-Dimensional and Permutation Invariant State Representation of Autonomous Driving
    • [cs.RO]High Throughput Soybean Pod-Counting with In-Field Robotic Data Collection and Machine-Vision Based Data Analysis
    • [cs.RO]Insect-Computer Hybrid System Capable of Autonomous Navigation and Human Detection in Unknown Environments
    • [cs.RO]On Incremental Structure-from-Motion using Lines
    • [cs.RO]OverlapNet: Loop Closing for LiDAR-based SLAM
    • [cs.RO]Resource and Response Aware Path Planning for Long-term Autonomy of Ground Robots in Agriculture
    • [cs.RO]Robotic additive construction of bar structures: Unified sequence and motion planning
    • [cs.RO]Soft robotic suits: State of the art, core technologies and open challenges
    • [cs.RO]SuMa++: Efficient LiDAR-based Semantic SLAM
    • [cs.RO]Toolbox Spotter: A Computer Vision System for Real World Situational Awareness in Heavy Industries
    • [cs.RO]User-oriented Natural Human-Robot Control with Thin-Plate Splines and LRCN
    • [cs.RO]Whole-Body Control on Non-holonomic Mobile Manipulation for Grapevine Winter Pruning Automation
    • [cs.SC]On the Complexity and Parallel Implementation of Hensel’s Lemma and Weierstrass Preparation
    • [cs.SE]Augmenting Modelers with Semantic Autocompletion of Processes
    • [cs.SE]The Early Bird Catches the Worm: Better Early Life Cycle Defect Predictors
    • [cs.SI]Crawling Twitter data through API: A technical/legal perspective
    • [cs.SI]Detecting Treatment Effect Modifiers in Social Networks
    • [cs.SI]Dynamic Hawkes Processes for Discovering Time-evolving Communities’ States behind Diffusion Processes
    • [cs.SI]From Base Data To Knowledge Discovery — A Life Cycle Approach — Using Multilayer Networks
    • [cs.SI]How They Tweet? An Insightful Analysis of Twitter Handles of Saudi Arabia
    • [cs.SI]Modeling Collective Anticipation and Response on Wikipedia
    • [cs.SI]SOK: Fake News Outbreak 2021: Can We Stop the Viral Spread?
    • [cs.SI]Sockpuppet Detection: a Telegram case study
    • [econ.EM]Inference for multi-valued heterogeneous treatment effects when the number of treated units is small
    • [econ.EM]Vector autoregression models with skewness and heavy tails
    • [eess.IV]A self-supervised learning strategy for postoperative brain cavity segmentation simulating
    c9b
    resections
    • [eess.IV]Automatic calibration of time of flight based non-line-of-sight reconstruction
    • [eess.IV]Brain tumour segmentation using a triplanar ensemble of U-Nets
    • [eess.IV]DDR-Net: Dividing and Downsampling Mixed Network for Diffeomorphic Image Registration
    • [eess.IV]Design to automate the detection and counting of Tuberculosis(TB) bacilli
    • [eess.IV]FBI-Denoiser: Fast Blind Image Denoiser for Poisson-Gaussian Noise
    • [eess.IV]MIASSR: An Approach for Medical Image Arbitrary Scale Super-Resolution
    • [eess.IV]Orthogonal Ensemble Networks for Biomedical Image Segmentation
    • [eess.IV]Pulmonary embolism identification in computerized tomography pulmonary angiography scans with deep learning technologies in COVID-19 patients
    • [eess.IV]SSCAN: A Spatial-spectral Cross Attention Network for Hyperspectral Image Denoising
    • [eess.IV]Smart mobile microscopy: towards fully-automated digitization
    • [eess.SP]V2V Spatiotemporal Interactive Pattern Recognition and Risk Analysis in Lane Changes
    • [eess.SY]Analysis of Contractions in System Graphs: Application to State Estimation
    • [eess.SY]Enhancing Feasibility and Safety of Nonlinear Model Predictive Control with Discrete-Time Control Barrier Functions
    • [eess.SY]Simultaneous Distributed Estimation and Attack Detection/Isolation in Social Networks: Structural Observability, Kronecker-Product Network, and Chi-Square Detector
    • [math.DS]Embedding Information onto a Dynamical System
    • [math.DS]Universal set of Observables for the Koopman Operator through Causal Embedding
    • [math.OC]The role of frustration in collective decision-making dynamical pr
    1000
    ocesses on multiagent signed networks
    • [math.ST]Asymptotic Moments Matching to Uniformly Minimum Variance Unbiased Estimation under Ewens Sampling Formula
    • [math.ST]Locally private online change point detection
    • [physics.chem-ph]Autonomous Kinetic Modeling of Biomass Pyrolysis using Chemical Reaction Neural Networks
    • [physics.comp-ph]Parallel adaptive procedure for CFD simulations
    • [physics.med-ph]Post-Radiotherapy PET Image Outcome Prediction by Deep Learning under Biological Model Guidance: A Feasibility Study of Oropharyngeal Cancer Application
    • [q-bio.GN]GapPredict: A Language Model for Resolving Gaps in Draft Genome Assemblies
    • [q-fin.CP]Arbitrage-free neural-SDE market models
    • [q-fin.PR]Can we imitate stock price behavior to reinforcement learn option price?
    • [stat.AP]A tutorial on reproducing a predefined autocovariance function through AR models
    • [stat.CO]A new computational framework for log-concave density estimation
    • [stat.ME]A Bayesian approach for partial Gaussian graphical models with sparsity
    • [stat.ME]A Bayesian change point model for spatio-temporal data
    • [stat.ME]A note on efficient audit sample selection
    • [stat.ME]Approximating the Operating Characteristics of Bayesian Uncertainty Directed Trial Designs
    • [stat.ME]Bayesian Effect Selection for Additive Quantile Regression with an Analysis to Air Pollution Thresholds
    • [stat.ME]Change Point Detection in Nonstationary Sub-Hourly Wind Time Series
    • [stat.ME]Controlling the False Discovery Rate in Complex Multi-Way Classified Hypotheses
    • [stat.ME]Deconvolution density estimation with penalised MLE
    • [stat.ME]Entropy-based adaptive design for contour finding and estimating reliability
    • [stat.ME]Exact PPS Sampling with Bounded Sample Size
    • [stat.ME]Hypothesis Testing for Equality of Latent Positions in Random Graphs
    • [stat.ME]Model-Assisted Inference for Covariate-Specific Treatment Effects with High-dimensional Data
    • [stat.ME]Multiple Change Point Detection in StructuredVAR Models: the VARDetect R Package
    • [stat.ME]Post-Model-Selection Statistical Inference with Interrupted Time Series Designs: An Evaluation of an Assault Weapons Ban in California
    • [stat.ME]Robust Bayesian Nonparametric Variable Selection for Linear Regression
    • [stat.ME]Robust Dynamic Mode Decomposition
    • [stat.ME]Spatial Temporal Aggregated Predictors to Examine Built Environment Health Effects
    • [stat.ME]Statistical Testing under Distributional Shifts
    • [stat.ML]EXoN: EXplainable encoder Network
    • [stat.ML]Estimating leverage scores via rank revealing methods and randomization
    • [stat.ML]GOALS: Gradient-Only Approximations for Line Searches Towards Robust and Consistent Training of Deep Neural Networks
    • [stat.ML]Parallelizing Contextual Linear Bandits
    • [stat.ML]Robust learning with anytime-guaranteed feedback
    • [stat.ML]Spectral Pruning for Recurrent Neural Networks
    • [stat.ML]Uncertainty quantification for distributed regression

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

    • [cs.AI]A review of approaches to modeling applied vehicle routing problems
    Konstantin Sidorov, Alexander Morozov
    http://arxiv.org/abs/2105.10950v1

    • [cs.AI]Actions You Can Handle: Dependent Types for AI Plans
    Alasdair Hill, Ekaterina Komendantskaya, Matthew L. Daggitt, Ronald P. A. Petrick
    http://arxiv.org/abs/2105.11267v1

    • [cs.AI]Alternating Fixpoint Operator for Hybrid MKNF Knowledge Bases as an Approximator of AFT
    Fangfang Liu, Jia-huai You
    http://arxiv.org/abs/2105.11071v1

    • [cs.AI]An Efficient Application of Neuroevolution for Competitive Multiagent Learning
    Unnikrishnan Rajendran Menon, Anirudh Rajiv Menon
    http://arxiv.org/abs/2105.10907v1

    • [cs.AI]Argumentative XAI: A Survey
    Kristijonas Čyras, Antonio Rago, Emanuele Albini, Pietro Baroni, Francesca Toni
    http://arxiv.org/abs/2105.11266v1

    • [cs.AI]Digital-Twin-Based Improvements to Diagnosis, Prognosis, Strategy Assessment, and Discrepancy Checking in a Nearly Autonomous Management and Control System
    Linyu Lin, Paridhi Athe, Pascal Rouxelin, Maria Avramova, Abhinav Gupta, Robert Youngblood, Nam Dinh
    http://arxiv.org/abs/2105.11039v1

    • [cs.AI]Learning First-Order Representations for Planning from Black-Box States: New Results
    Ivan D. Rodriguez, Blai Bonet, Javier Romero, Hector Geffner
    http://arxiv.org/abs/2105.10830v1

    • [cs.AI]Modelling the development of counting with memory-augmented neural networks
    Zack Dulberg, Taylor Webb, Jonathan Cohen
    http://arxiv.org/abs/2105.10577v1

    • [cs.AI]Partition Function Estimation: A Quantitative Study
    Durgesh Agrawal, Yash Pote, Kuldeep S Meel
    http://arxiv.org/abs/2105.11132v1

    • [cs.AI]Towards Knowledge Organization Ecosystems
    Mayukh Bagchi
    http://arxiv.org/abs/2105.10923v1

    • [cs.AR]27.5-29.5 GHz Switched Array Sounder for Dynamic Channel Characterization: Design, Implementation and Measurements
    Harsh Tataria, Erik L. Bengtsson, Ove Edfors, Fredrik Tufvesson
    http://arxiv.org/abs/2105.10712v1

    • [cs.AR]GNNIE:
    10d8
    GNN Inference Engine with Load-balancing and Graph-Specific Caching
    Sudipta Mondal, Susmita Dey Manasi, Kishor Kunal, Sachin S. Sapatnekar
    http://arxiv.org/abs/2105.10554v1

    • [cs.CE]Addressing the Multiplicity of Solutions in Optical Lens Design as a Niching Evolutionary Algorithms Computational Challenge
    Anna V. Kononova, Ofer M. Shir, Teus Tukker, Pierluigi Frisco, Shutong Zeng, Thomas Bäck
    http://arxiv.org/abs/2105.10541v1

    • [cs.CL]Abusive Language Detection in Heterogeneous Contexts: Dataset Collection and the Role of Supervised Attention
    Hongyu Gong, Alberto Valido, Katherine M. Ingram, Giulia Fanti, Suma Bhat, Dorothy L. Espelage
    http://arxiv.org/abs/2105.11119v1

    • [cs.CL]Assessing perceived organizational leadership styles through twitter text mining
    A. La Bella, A. Fronzetti Colladon, E. Battistoni, S. Castellan, M. Francucci
    http://arxiv.org/abs/2105.11276v1

    • [cs.CL]Automatic Product Ontology Extraction from Textual Reviews
    Joel Oksanen, Oana Cocarascu, Francesca Toni
    http://arxiv.org/abs/2105.10966v1

    • [cs.CL]CEREC: A Corpus for Entity Resolution in Email Conversations
    Parag Pravin Dakle, Dan I. Moldovan
    http://arxiv.org/abs/2105.10606v1

    • [cs.CL]CiteWorth: Cite-Worthiness Detection for Improved Scientific Document Understanding
    Dustin Wright, Isabelle Augenstein
    http://arxiv.org/abs/2105.10912v1

    • [cs.CL]Classifying Math KCs via Task-Adaptive Pre-Trained BERT
    Jia Tracy Shen, Michiharu Yamashita, Ethan Prihar, Neil Heffernan, Xintao Wu, Sean McGrew, Dongwon Lee
    http://arxiv.org/abs/2105.11343v1

    • [cs.CL]Context-Preserving Text Simplification
    Christina Niklaus, Matthias Cetto, André Freitas, Siegfried Handschuh
    http://arxiv.org/abs/2105.11178v1

    • [cs.CL]Controlling Text Edition by Changing Answers of Specific Questions
    Lei Sha, Patrick Hohenecker, Thomas Lukasiewicz
    http://arxiv.org/abs/2105.11018v1

    • [cs.CL]Cross-lingual Text Classification with Heterogeneous Graph Neural Network
    Ziyun Wang, Xuan Liu, Peiji Yang, Shixing Liu, Zhisheng Wang
    http://arxiv.org/abs/2105.11246v1

    • [cs.CL]DaN+: Danish Nested Named Entities and Lexical Normalization
    Barbara Plank, Kristian Nørgaard Jensen, Rob van der Goot
    http://arxiv.org/abs/2105.11301v1

    • [cs.CL]De-identification of Privacy-related Entities in Job Postings
    Kristian Nørgaard Jensen, Mike Zhang, Barbara Plank
    http://arxiv.org/abs/2105.11223v1

    • [cs.CL]Diacritics Restoration using BERT with Analysis on Czech language
    Jakub Náplava, Milan Straka, Jana Straková
    http://arxiv.org/abs/2105.11408v1

    • [cs.CL]Distantly-Supervised Long-Tailed Relation Extraction Using Constraint Graphs
    Tianming Liang, Yang Liu, Xiaoyan Liu, Gaurav Sharma, Maozu Guo
    http://arxiv.org/abs/2105.11225v1

    • [cs.CL]Editorial introduction: The power of words and networks
    A. Fronzetti Colladon, P. Gloor, D. F. Iezzi
    http://arxiv.org/abs/2105.11263v1

    • [cs.CL]Few-Shot Upsampling for Protest Size Detection
    Andrew Halterman, Benjamin J. Radford
    http://arxiv.org/abs/2105.11260v1

    • [cs.CL]Hater-O-Genius Aggression Classification using Capsule Networks
    Parth Patwa, Srinivas PYKL, Amitava Das, Prerana Mukherjee, Viswanath Pulabaigari
    http://arxiv.org/abs/2105.11219v1

    • [cs.CL]IITP at AILA 2019: System Report for Artificial Intelligence for Legal Assistance Shared Task
    Baban Gain, Dibyanayan Bandyopadhyay, Arkadipta De, Tanik Saikh, Asif Ekbal
    http://arxiv.org/abs/2105.11347v1

    • [cs.CL]Introducing the Talk Markup Language (TalkML):Adding a little social intelligence to industrial speech interfaces
    Peter Wallis
    http://arxiv.org/abs/2105.11294v1

    • [cs.CL]Neural Language Models for Nineteenth-Century English
    Kasra Hosseini, Kaspar Beelen, Giovanni Colavizza, Mariona Coll Ardanuy
    http://arxiv.org/abs/2105.11321v1

    • [cs.CL]Neural Machine Translation with Monolingual Translation Memory
    Deng Cai, Yan Wang, Huayang Li, Wai Lam, Lemao Liu
    http://arxiv.org/abs/2105.11269v1

    • [cs.CL]One2Set: Generating Diverse Keyphrases as a Set
    Jiacheng Ye, Tao Gui, Yichao Luo, Yige Xu, Qi Zhang
    http://arxiv.org/abs/2105.11134v1

    • [cs.CL]PTR: Prompt Tuning with Rules for Text Classification
    Xu Han, Weilin Zhao, Ning Ding, Zhiyuan Liu, Maosong Sun
    http://arxiv.org/abs/2105.11259v1

    • [cs.CL]Prevent the Language Model from being Overconfident in Neural Machine Translation
    Mengqi Miao, Fandong Meng, Yijin Liu, Xiao-Hua Zhou, Jie Zhou
    http://arxiv.org/abs/2105.11098v1

    • [cs.CL]RST Parsing from Scratch
    Thanh-Tung Nguyen, Xuan-Phi Nguyen, Shafiq Joty, Xiaoli Li
    http://arxiv.org/abs/2105.10861v1

    • [cs.CL]Reproducibility Report: Contextualizing Hate Speech Classifiers with Post-hoc Explanation
    Kiran Purohit, Owais Iqbal, Ankan Mullick
    http://arxiv.org/abs/2105.11412v1

    • [cs.CL]Retrieval Enhanced Model for Commonsense Generation
    Han Wang, Yang Liu, Chenguang Zhu, Linjun Shou, Ming Gong, Yichong Xu, Michael Zeng
    http://arxiv.org/abs/2105.11174v1

    • [cs.CL]RobeCzech: Czech RoBERTa, a monolingual contextualized language representation model
    Milan Straka, Jakub Náplava, Jana Straková, David Samuel
    http://arxiv.org/abs/2105.11314v1

    • [cs.CL]Self-Attention Networks Can Process Bounded Hierarchical Languages
    Shunyu Yao, Binghui Peng, Christos Papadimitriou, Karthik Narasimhan
    http://arxiv.org/abs/2105.11115v1

    • [cs.CL]Structural Pre-training for Dialogue Comprehension
    Zhuosheng Zhang, Hai Zhao
    http://arxiv.org/abs/2105.10956v1

    • [cs.CL]StructuralLM: Structural Pre-training for Form Understanding
    Chenliang Li, Bin Bi, Ming Yan, Wei Wang, Songfang Huang, Fei Huang, Luo Si
    http://arxiv.org/abs/2105.11210v1

    • [cs.CL]Towards Standard Criteria for human evaluation of Chatbots: A Survey
    Hongru Liang, Huaqing Li
    http://arxiv.org/abs/2105.11197v1

    • [cs.CL]Towards a Universal NLG for Dialogue Systems and Simulators with Future Bridging
    Philipp Ennen, Yen-Ting Lin, Ali Girayhan Ozbay, Ferdinando Insalata, Maolin Li, Ye Tian, Sepehr Jalali, Da-shan Shiu
    http://arxiv.org/abs/2105.10267v2

    • [cs.CL]True Few-Shot Learning with Language Models
    Ethan Perez, Douwe Kiela, Kyunghyun Cho
    http://arxiv.org/abs/2105.11447v1

    • [cs.CL]Unsupervised Speech Recognition
    Alexei Baevski, Wei-Ning Hsu, Alexis Conneau, Michael Auli
    http://arxiv.org/abs/2105.11084v1

    • [cs.CL]Using Adversarial Attacks to Reveal the Statistical Bias in Machine Reading Comprehension Models
    Jieyu Lin, Jiajie Zou, Nai Ding
    http://arxiv.org/abs/2105.11136v1

    • [cs.CL]VANiLLa : Verbalized Answers in Natural Language at Large Scale
    Debanjali Biswas, Mohnish Dubey, Md Rashad Al Hasan Rony, Jens Lehmann
    http://arxiv.org/abs/2105.11407v1

    • [cs.CL]View Distillation with Unlabeled Data for Extracting Adverse Drug Effects from User-Generated Data
    Payam Karisani, Jinho D. Choi, Li Xiong
    http://arxiv.org/abs/2105.11354v1

    • [cs.CR]Adversarial Attacks and Mitigation for Anomaly De
    a10
    tectors of Cyber-Physical Systems
    Yifan Jia, Jingyi Wang, Christopher M. Poskitt, Sudipta Chattopadhyay, Jun Sun, Yuqi Chen
    http://arxiv.org/abs/2105.10707v1

    • [cs.CR]Killing Two Birds with One Stone: Stealing Model and Inferring Attribute from BERT-based APIs
    Lingjuan Lyu, Xuanli He, Fangzhao Wu, Lichao Sun
    http://arxiv.org/abs/2105.10909v1

    • [cs.CR]Learning Security Classifiers with Verified Global Robustness Properties
    Yizheng Chen, Shiqi Wang, Yue Qin, Xiaojing Liao, Suman Jana, David Wagner
    http://arxiv.org/abs/2105.11363v1

    • [cs.CV]A Fourier-based Framework for Domain Generalization
    Qinwei Xu, Ruipeng Zhang, Ya Zhang, Yanfeng Wang, Qi Tian
    http://arxiv.org/abs/2105.11120v1

    • [cs.CV]A hybrid classification-regression approach for 3D hand pose estimation using graph convolutional networks
    Ikram Kourbane, Yakup Genc
    http://arxiv.org/abs/2105.10902v1

    • [cs.CV]ADNet: Attention-guided Deformable Convolutional Network for High Dynamic Range Imaging
    Zhen Liu, Wenjie Lin, Xinpeng Li, Qing Rao, Ting Jiang, Mingyan Han, Haoqiang Fan, Jian Sun, Shuaicheng Liu
    http://arxiv.org/abs/2105.10697v1

    • [cs.CV]Adapted Human Pose: Monocular 3D Human Pose Estimation with Zero Real 3D Pose Data
    Shuangjun Liu, Naveen Sehgal, Sarah Ostadabbas
    http://arxiv.org/abs/2105.10837v1

    • [cs.CV]Attention-guided Temporal Coherent Video Object Matting
    Yunke Zhang, Chi Wang, Miaomiao Cui, Peiran Ren, Xuansong Xie, Xian-sheng Hua, Hujun Bao, Qixing Huang, Weiwei Xu
    http://arxiv.org/abs/2105.11427v1

    • [cs.CV]Automated Knee X-ray Report Generation
    Aydan Gasimova, Giovanni Montana, Daniel Rueckert
    http://arxiv.org/abs/2105.10702v1

    • [cs.CV]Boosting Crowd Counting with Transformers
    Guolei Sun, Yun Liu, Thomas Probst, Danda Pani Paudel, Nikola Popovic, Luc Van Gool
    http://arxiv.org/abs/2105.10926v1

    • [cs.CV]CMUA-Watermark: A Cross-Model Universal Adversarial Watermark for Combating Deepfakes
    Hao Huang, Yongtao Wang, Zhaoyu Chen, Yuheng Li, Zhi Tang, Wei Chu, Jingdong Chen, Weisi Lin, Kai-Kuang Ma
    http://arxiv.org/abs/2105.10872v1

    • [cs.CV]COTR: Convolution in Transformer Network for End to End Polyp Detection
    Zhiqiang Shen, Chaonan Lin, Shaohua Zheng
    http://arxiv.org/abs/2105.10925v1

    • [cs.CV]Coarse to Fine Multi-Resolution Temporal Convolutional Network
    Dipika Singhania, Rahul Rahaman, Angela Yao
    http://arxiv.org/abs/2105.10859v1

    • [cs.CV]Deep Visual Anomaly detection with Negative Learning
    Jin-Ha Lee, Marcella Astrid, Muhammad Zaigham Zaheer, Seung-Ik Lee
    http://arxiv.org/abs/2105.11058v1

    • [cs.CV]Dynamic Class Queue for Large Scale Face Recognition In the Wild
    Bi Li, Teng Xi, Gang Zhang, Haocheng Feng, Junyu Han, Jingtuo Liu, Errui Ding, Wenyu Liu
    http://arxiv.org/abs/2105.11113v1

    • [cs.CV]Embracing New Techniques in Deep Learning for Estimating Image Memorability
    Coen D. Needell, Wilma A. Bainbridge
    http://arxiv.org/abs/2105.10598v1

    • [cs.CV]End-to-End Video Object Detection with Spatial-Temporal Transformers
    Lu He, Qianyu Zhou, Xiangtai Li, Li Niu, Guangliang Cheng, Xiao Li, Wenxuan Liu, Yunhai Tong, Lizhuang Ma, Liqing Zhang
    http://arxiv.org/abs/2105.10920v1

    • [cs.CV]Exploring Robustness of Unsupervised Domain Adaptation in Semantic Segmentation
    Jinyu Yang, Chunyuan Li, Weizhi An, Hehuan Ma, Yuzhi Guo, Yu Rong, Peilin Zhao, Junzhou Huang
    http://arxiv.org/abs/2105.10843v1

    • [cs.CV]FCCDN: Feature Constraint Network for VHR Image Change Detection
    Pan Chen, Danfeng Hong, Zhengchao Chen, Xuan Yang, Baipeng Li, Bing Zhang
    http://arxiv.org/abs/2105.10860v1

    • [cs.CV]Face Anonymization by Manipulating Decoupled Identity Representation
    Tianxiang Ma, Dongze Li, Wei Wang, Jing Dong
    http://arxiv.org/abs/2105.11137v1

    • [cs.CV]FineAction: A Fined Video Dataset for Temporal Action Localization
    Yi Liu, Limin Wang, Xiao Ma, Yali Wang, Yu Qiao
    http://arxiv.org/abs/2105.11107v1

    • [cs.CV]GOO: A Dataset for Gaze Object Prediction in Retail Environments
    Henri Tomas, Marcus Reyes, Raimarc Dionido, Mark Ty, Jonric Mirando, Joel Casimiro, Rowel Atienza, Richard Guinto
    http://arxiv.org/abs/2105.10793v1

    • [cs.CV]HOME: Heatmap Output for future Motion Estimation
    Thomas Gilles, Stefano Sabatini, Dzmitry Tsishkou, Bogdan Stanciulescu, Fabien Moutarde
    http://arxiv.org/abs/2105.10968v1

    • [cs.CV]Heuristic Weakly Supervised 3D Human Pose Estimation in Novel Contexts without Any 3D Pose Ground Truth
    Shuangjun Liu, Xiaofei Huang, Nihang Fu, Sarah Ostadabbas
    http://arxiv.org/abs/2105.10996v1

    • [cs.CV]High-level camera-LiDAR fusion for 3D object detection with machine learning
    Gustavo A. Salazar-Gomez, Miguel A. Saavedra-Ruiz, Victor A. Romero-Cano
    http://arxiv.org/abs/2105.11060v1

    • [cs.CV]Human-centric Relation Segmentation: Dataset and Solution
    Si Liu, Zitian Wang, Yulu Gao, Lejian Ren, Yue Liao, Guanghui Ren, Bo Li, Shuicheng Yan
    http://arxiv.org/abs/2105.11168v1

    • [cs.CV]Large-Scale Attribute-Object Compositions
    Filip Radenovic, Animesh Sinha, Albert Gordo, Tamara Berg, Dhruv Mahajan
    http://arxiv.org/abs/2105.11373v1

    • [cs.CV]LineCounter: Learning Handwritten Text Line Segmentation by Counting
    Deng Li, Yue Wu, Yicong Zhou
    http://arxiv.org/abs/2105.11307v1

    • [cs.CV]Mapping oil palm density at country scale: An active learning approach
    Andrés C. Rodríguez, Stefano D’Aronco, Konrad Schindler, Jan D. Wegner
    http://arxiv.org/abs/2105.11207v1

    • [cs.CV]Multi-Level Attentive Convoluntional Neural Network for Crowd Counting
    Mengxiao Tian, Hao Guo, Chengjiang Long
    http://arxiv.org/abs/2105.11422v1

    • [cs.CV]Multi-Type-TD-TSR — Extracting Tables from Document Images using a Multi-stage Pipeline for Table Detection and Table Structure Recognition: from OCR to Structured Table Representations
    Pascal Fischer, Alen Smajic, Alexander Mehler, Giuseppe Abrami
    http://arxiv.org/abs/2105.11021v1

    • [cs.CV]Multi-modal Understanding and Generation for Medical Images and Text via Vision-Language Pre-Training
    Jong Hak Moon, Hyungyung Lee, Woncheol Shin, Edward Choi
    http://arxiv.org/abs/2105.11333v1

    • [cs.CV]Oriented RepPoints for Aerial Object Detection
    Wentong Li, Jianke Zhu
    http://arxiv.org/abs/2105.11111v1

    • [cs.CV]Out-of-Distribution Detection in Dermatology using Input Perturbation and Subset Scanning
    Hannah Kim, Girmaw Abebe Tadesse, Celia Cintas, Skyler Speakman, Kush Varshney
    http://arxiv.org/abs/2105.11160v1

    • [cs.CV]PAL: Intelligence Augmentation using Egocentric Visual Context Detection
    Mina Khan, Pattie Maes
    http://arxiv.org/abs/2105.10735v1

    • [cs.CV]PLM: Partial Label Masking for Imbalanced Multi-label Classification
    Kevin Duarte, Yogesh S. Rawat, Mubarak Shah
    http://arxiv.org/abs/2105.10782v1

    • [cs.CV]Real-time Human Action Recognition Using Locally Aggregated Kinematic-Guided Skeletonlet and Supervised Hashing-by-Analysis Model
    Bin Sun, Dehui Kong, Shaofan Wang, Lichun Wang, Baocai Yin
    http://arxiv.org/abs/2105.11312v1

    • [cs.CV]Recent Advances and Trends in Multimodal Deep Learning: A Review
    Jabeen Summaira, Xi Li, Amin Muhammad Shoib, Songyuan Li, Jabbar Abdul
    http://arxiv.org/abs/2105.11087v1

    • [cs.CV]Reconstructing Small 3D Objects in front of a Textured Background
    Petr Hruby, Tomas Pajdla
    http://arxiv.org/abs/2105.11352v1

    • [cs.CV]Revisiting 2D Convolutional Neural Networks for Graph-based Applications
    Yecheng Lyu, Xinming Huang, Ziming Zhang
    http://arxiv.org/abs/2105.11016v1

    • [cs.CV]Revisiting Knowledge Distillation for Object Detection
    Amin Banitalebi-Dehkordi
    http://arxiv.org/abs/2105.10633v1

    • [cs.CV]SAT: 2D Semantics Assisted Training for 3D Visual Grounding
    Zhengyuan Yang, Songyang Zhang, Liwei Wang, Jiebo Luo
    http://arxiv.org/abs/2105.11450v1

    • [cs.CV]Searching Collaborative Agents for Multi-plane Localization in 3D Ultrasound
    Xin Yang, Yuhao Huang, Ruobing Huang, Haoran Dou, Rui Li, Jikuan Qian, Xiaoqiong Huang, Wenlong Shi, Chaoyu Chen, Yuanji Zhang, Haixia Wang, Yi Xiong, Dong Ni
    http://arxiv.org/abs/2105.10626v1

    • [cs.CV]Semi-Supervised Few-Shot Classification with Deep Invertible Hybrid Models
    Yusuke Ohtsubo, Tetsu Matsukawa, Einoshin Suzuki
    http://arxiv.org/abs/2105.10644v1

    • [cs.CV]SiamRCR: Reciprocal Classification and Regression for Visual Object Tracking
    Jinlong Peng, Zhengkai Jiang, Yueyang Gu, Yang Wu, Yabiao Wang, Ying Tai, Chengjie Wang, Weiyao Lin
    http://arxiv.org/abs/2105.11237v1

    • [cs.CV]Skeleton-aware multi-scale heatmap regression for 2D hand pose estimation
    Ikram Kourbane, Yakup Genc
    http://arxiv.org/abs/2105.10904v1

    • [cs.CV]Soccer Player Tracking in Low Quality Video
    Eloi Martins, José Henrique Brito
    http://arxiv.org/abs/2105.10700v1

    • [cs.CV]Stereo Matching Based on Visual Sensitive Information
    Hewei Wang, Muhammad Salman Pathan, Soumyabrata Dev
    http://arxiv.org/abs/2105.10831v1

    • [cs.CV]Taylor saves for later: disentanglement for video prediction using Taylor representation
    Ting Pan, Zhuqing Jiang, Jianan Han, Shiping Wen, Aidong Men, Haiying Wang
    http://arxiv.org/abs/2105.11062v1

    • [cs.CV]Texture synthesis via projection onto multiscale, multilayer statistics
    Jieqian He, Matthew Hirn
    http://arxiv.org/abs/2105.10825v1

    • [cs.CV]Towards Automatic Recognition of Pure & Mixed Stones using Intraoperative Endoscopic Digital Images
    Vincent Estrade, Michel Daudon, Emmanuel Richard, Jean-Christophe Bernhard, Franck Bladou, Gregoire Robert, Baudouin Denis de Senneville
    http://arxiv.org/abs/2105.10686v1

    • [cs.CV]Towards Book Cover Design via Layout Graphs
    Wensheng Zhang, Yan Zheng, Taiga Miyazono, Seiichi Uchida, Brian Kenji Iwana
    http://arxiv.org/abs/2105.11088v1

    • [cs.CV]Towards Compact CNNs via Collaborative Compression
    Yuchao Li, Shaohui Lin, Jianzhuang Liu, Qixiang Ye, Mengdi Wang, Fei Chao, Fan Yang, Jincheng Ma, Qi Tian, Rongrong Ji
    http://arxiv.org/abs/2105.11228v1

    • [cs.CV]Unsupervised Video Summarization with a Convolutional Attentive Adversarial Network
    Guoqiang Liang, Yanbing Lv, Shucheng Li, Shizhou Zhang, Yanning Zhang
    http://arxiv.org/abs/2105.11131v1

    • [cs.CV]VS-Net: Voting with Segmentation for Visual Localization
    Zhaoyang Huang, Han Zhou, Yijin Li, Bangbang Yang, Yan Xu, Xiaowei Zhou, Hujun Bao, Guofeng Zhang, Hongsheng Li
    http://arxiv.org/abs/2105.10886v1

    • [cs.CV]Video-based Person Re-identification without Bells and Whistles
    Chih-Ting Liu, Jun-Cheng Chen, Chu-Song Chen, Shao-Yi Chien
    http://arxiv.org/abs/2105.10678v1

    • [cs.CV]Weakly Supervised Instance Attention for Multisource Fine-Grained Object Recognition
    Bulut Aygunes, Ramazan Gokberk Cinbis, Selim Aksoy
    http://arxiv.org/abs/2105.10983v1

    • [cs.CV]Weakly-supervised Cross-view 3D Human Pose Estimation
    Guoliang Hua, Wenhao Li, Qian Zhang, Runwei Ding, Hong Liu
    http://arxiv.org/abs/2105.10882v1

    • [cs.CV]What is the State of the Art of Computer Vision-Assisted Cytology? A Systematic Literature Review
    André Victória Matias, João Gustavo Atkinson Amorim, Luiz Antonio Buschetto Macarini, Allan Cerentini, Alexandre Sherlley Casimiro Onofre, Fabiana Botelho de Miranda Onofre, Felipe Perozzo Daltoé, Marcelo Ricardo Stemmer, Aldo von Wangenheim
    http://arxiv.org/abs/2105.11277v1

    • [cs.CV]Wisdom for the Crowd: Discoursive Power in Annotation Instructions for Computer Vision
    Milagros Miceli, Julian Posada
    http://arxiv.org/abs/2105.10990v1

    • [cs.CV]luvHarris: A Practical Corner Detector for Event-cameras
    Arren Glover, Aiko Dinale, Leandro De Souza Rosa, Simeon Bamford, Chiara Bartolozzi
    http://arxiv.org/abs/2105.11443v1

    • [cs.CY]Assessment and Decision-Making in Universities: Analytics of the Administration-Staff Compromises
    Valerii Semenets, Vagan Terziyan, Svitlana Gryshko, Mariia Golovianko
    http://arxiv.org/abs/2105.10560v1

    • [cs.CY]Coupling Power Laws Offers a Powerful Method for Problems such as Biodiversity and COVID-19 Fatality Predictions
    Sam Ma
    http://arxiv.org/abs/2105.11002v1

    • [cs.CY]Measuring Lay Reactions to Personal Data Markets
    Aileen Nielsen
    http://arxiv.org/abs/2105.10569v1

    • [cs.CY]Sugestões de Rotas Personalizadas para Carrinheiros na Coleta Seletiva de Materiais Recicláveis
    Maria Vitória R. Oliveira, Islene C. Garcia
    http://arxiv.org/abs/2105.10787v1

    • [cs.DB]A Query Language for Summarizing and Analyzing Business Process Data
    Amin Beheshti, Boualem Benatallah, Hamid Reza Motahari-Nezhad, Samira Ghodratnama, Farhad Amouzgar
    http://arxiv.org/abs/2105.10911v1

    • [cs.DB]Harmless but Useful: Beyond Separable Equality Constraints in Datalog+/-
    Luigi Bellomarini, Emanuel Sallinger
    http://arxiv.org/abs/2105.11147v1

    • [cs.DC]Automated Dynamic Concurrency Analysis for Go
    Saeed Taheri, Ganesh Gopalakrishnan
    http://arxiv.org/abs/2105.11064v1

    • [cs.DC]Automatic task-based parallelization of C++ applications by source-to-source transformations
    Garip Kusoglu, Berenger Bramas, Stephane Genaud
    http://arxiv.org/abs/2105.10726v1

    • [cs.DC]Challenges of Translating HPC codes to Workflows for Heterogeneous and Dynamic Environments
    Fayssal Benkhaldoun, Christophe Cérin, Imad Kissami, Walid Saad
    http://arxiv.org/abs/2105.11303v1

    • [cs.DC]Classifying Trusted Hardware via Unidirectional Communication
    Naama Ben-David, Kartik Nayak
    http://arxiv.org/abs/2105.10566v1

    • [cs.DC]Distributed CNN Inference on Resource-Constrained UAVs for Surveillance Systems: Design and Optimization
    Mohammed Jouhari, Abdulla Al-Ali, Emna Baccour, Amr Mohamed, Aiman Erbad, Mohsen Guizani, Mounir Hamdi
    http://arxiv.org/abs/2105.11013v1

    • [cs.DC]Dorylus: Affordable, Scalable, and Accurate GNN Training over Billion-Edge Graphs
    John Thorpe, Yifan Qiao, Jonathan Eyolfson, Shen Teng, Guanzhou Hu, Zhihao Jia, Jinliang Wei, Keval Vora, Ravi Netravali, Miryung Kim, Guoqing Harry Xu
    http://arxiv.org/abs/2105.11118v1

    • [cs.DC]FAASNET: Scalable and Fast Provisioning of Custom Serverless ContainerRuntimes at Alibaba Cloud Function Compute
    Ao Wang, Shuai Chang, Huangshi Tian, Hongqi Wang, Haoran Yang, Huiba Li, Rui Du, Yue Cheng
    http://arxiv.org/abs/2105.11229v1

    • [cs.DC]Multilayer Resource-aware Partitioning for Fog Application Placement
    Zahra Najafabadi Samani, Nishant Saurabh, Radu Prodan
    http://arxiv.org/abs/2105.11033v1

    • [cs.DC]Towards Parallel CFD computation for the ADAPT framework
    Imad Kissami, Christophe Cerin, Fayssal Benkhaldoun, Gilles Scarella
    http://arxiv.org/abs/2105.11220v1

    • [cs.GT]Criticality and Utility-aware Fog Computing System for Remote Health Monitoring
    Navneet Taunk, Naveen Kumar Mall, Ajay Pratap
    http://arxiv.org/abs/2105.11097v1

    • [cs.GT]PROPm Allocations of Indivisible Goods to Multiple Agents
    Artem Baklanov, Pranav Garimidi, Vasilis Gkatzelis, Daniel Schoepflin
    http://arxiv.org/abs/2105.11348v1

    • [cs.HC]Who/What is My Teammate? Team Composition Considerations in Human-AI Teaming
    Nathan J. McNeese, Beau G. Schelble, Lorenzo Barberis Canonico, Mustafa Demir
    http://arxiv.org/abs/2105.11000v1

    • [cs.IR]CITIES: Contextual Inference of Tail-Item Embeddings for Sequential Recommendation
    Seongwon Jang, Hoyeop Lee, Hyunsouk Cho, Sehee Chung
    http://arxiv.org/abs/2105.10868v1

    • [cs.IR]Deconfounded Recommendation for Alleviating Bias Amplification
    Wenjie Wang, Fuli Feng, Xiangnan He, Xiang Wang, Tat-Seng Chua
    http://arxiv.org/abs/2105.10648v1

    • [cs.IR]OntoED: Low-resource Event Detection with Ontology Embedding
    Shumin Deng, Ningyu Zhang, Luoqiu Li, Hui Chen, Huaixiao Tou, Mosha Chen, Fei Huang, Huajun Chen
    http://arxiv.org/abs/2105.10922v1

    • [cs.IR]Pre-trained Language Model based Ranking in Baidu Search
    Lixin Zou, Shengqiang Zhang, Hengyi Cai, Dehong Ma, Suqi Cheng, Daiting Shi, Shuaiqiang Wang, Zhicong Cheng, Dawei Yin
    http://arxiv.org/abs/2105.11108v1

    • [cs.IT]A Practical Consideration on Convex Mutual Information
    Mingxi Yin, Bingli Jiao, Dongsheng Zheng, Yuli Yang
    http://arxiv.org/abs/2105.11272v1

    • [cs.IT]Application of Opportunistic Bit to Multilevel Codes
    Bingli Jiao, Mingxi Yin, Dongsheng Zheng, Yuli Yang
    http://arxiv.org/abs/2105.11273v1

    • [cs.IT]Byzantine-Resilient Federated Machine Learning via Over-the-Air Computation
    Shaoming Huang, Yong Zhou, Ting Wang, Yuanming Shi
    http://arxiv.org/abs/2105.10883v1

    • [cs.IT]Centralized Learning of the Distributed Downlink Channel Estimators in FDD Systems using Uplink Data
    B. Fesl, N. Turan, M. Koller, M. Joham, W. Utschick
    http://arxiv.org/abs/2105.10746v1

    • [cs.IT]Constructions of Binary Optimal Locally Repairable Codes via Intersection Subspaces
    Wenqin Zhang, Deng Tang, Yuan Luo
    http://arxiv.org/abs/2105.11271v1

    • [cs.IT]Determination of the Autocorrelation Distribution and 2-Adic Complexity of Generalized Cyclotomic Binary Sequences of Order 2 with Period pq
    Xiaoyan Jing, Shiyuan Qiang, Minghui Yang, Keqin Feng
    http://arxiv.org/abs/2105.10947v1

    • [cs.IT]Enhanced Fairness and Scalability of Power Control Schemes in Multi-Cell Massive MIMO
    Amin Ghazanfari, Hei Vi
    c2b
    ctor Cheng, Emil Björnson, Erik G. Larsson
    http://arxiv.org/abs/2105.10503v1

    • [cs.IT]Finite Blocklength Secrecy Analysis of Polar and Reed-Muller Codes in BEC Semi-Deterministic Wiretap Channels
    Mahdi Shakiba-Herfeh, Laura Luzzi, Arsenia Chorti
    http://arxiv.org/abs/2105.10747v1

    • [cs.IT]Frequency Permutations for Joint Radar and Communications
    Rajitha Senanayake, Peter Smith, Tian Han, Jamie Evans, William Moran, Robin Evans
    http://arxiv.org/abs/2105.11106v1

    • [cs.IT]Fuzzy inference system application for oil-water flow patterns identification
    Yuyan Wu, Haimin Guo, Hongwei Song, Rui Deng
    http://arxiv.org/abs/2105.11181v1

    • [cs.IT]Graph-based Detection of Multiuser Impulse Radio Systems
    Y. Shen Bachar, O. Amrani
    http://arxiv.org/abs/2105.10913v1

    • [cs.IT]Interplay Between NOMA and GSSK: Detection Strategies and Performance Analysis
    Sanjeev Gurugopinath, Sami Muhaidat, Rajaleksmi Kishore, Paschalis C. Sofotasios, Faissal El Bouanani, Halim Yanikomeroglu
    http://arxiv.org/abs/2105.11186v1

    • [cs.IT]On the Optimality of the Stationary Solution of Secrecy Rate Maximization for MIMO Wiretap Channel
    Anshu Mukherjee, Vaibhav Kumar, Eduard Jorswieck, Björn Ottersten, Le-Nam Tran
    http://arxiv.org/abs/2105.11415v1

    • [cs.IT]Sparse Affine Sampling: Ambiguity-Free and Efficient Sparse Phase Retrieval
    Ming-Hsun Yang, Y. -W. Peter Hong, Jwo-Yuh Wu
    http://arxiv.org/abs/2105.11381v1

    • [cs.IT]Time-Gated Photon Counting Receivers for Optical Wireless Communication
    Shenjie Huang, Majid Safari
    http://arxiv.org/abs/2105.10609v1

    • [cs.IT]Trade-off Energy and Spectral Efficiency in 5G Massive MIMO System
    Adeb Salh, Nor Shahida Mohd Shah, Lukman Audah, Qazwan Abdullah, Norsaliza Abdullah, Shipun A. Hamzah, Abdu Saif
    http://arxiv.org/abs/2105.10722v1

    • [cs.IT]Two-to-one mappings and involutions without fixed points over~今日学术视野(2021.5.26) - 图2
    Mu Yuan, Dabin Zheng, Yanping Zheng
    http://arxiv.org/abs/2105.11323v1

    • [cs.LG]2nd-order Updates with 1st-order Complexity
    Michael F. Zimmer
    http://arxiv.org/abs/2105.11439v1

    • [cs.LG]A Robust and Generalized Framework for Adversarial Graph Embedding
    Jianxin Li, Xingcheng Fu, Hao Peng, Senzhang Wang, Shijie Zhu, Qingyun Sun, Philip S. Yu, Lifang He
    http://arxiv.org/abs/2105.10651v1

    • [cs.LG]A Study imbalance handling by various data sampling methods in binary classification
    Mohamed Hamama
    http://arxiv.org/abs/2105.10959v1

    • [cs.LG]AutoLRS: Automatic Learning-Rate Schedule by Bayesian Optimization on the Fly
    Yuchen Jin, Tianyi Zhou, Liangyu Zhao, Yibo Zhu, Chuanxiong Guo, Marco Canini, Arvind Krishnamurthy
    http://arxiv.org/abs/2105.10762v1

    • [cs.LG]Cascading Bandit under Differential Privacy
    Kun Wang, Jing Dong, Baoxiang Wang, Shuai Li, Shuo Shao
    http://arxiv.org/abs/2105.11126v1

    • [cs.LG]Combinatorial Blocking Bandits with Stochastic Delays
    Alexia Atsidakou, Orestis Papadigenopoulos, Soumya Basu, Constantine Caramanis, Sanjay Shakkottai
    http://arxiv.org/abs/2105.10625v1

    • [cs.LG]Compressing Heavy-Tailed Weight Matrices for Non-Vacuous Generalization Bounds
    John Y. Shin
    http://arxiv.org/abs/2105.11025v1

    • [cs.LG]Continual World: A Robotic Benchmark For Continual Reinforcement Learning
    Maciej Wołczyk, Michał Zając, Razvan Pascanu, Łukasz Kuciński, Piotr Miłoś
    http://arxiv.org/abs/2105.10919v1

    • [cs.LG]Cost-Accuracy Aware Adaptive Labeling for Active Learning
    Ruijiang Gao, Maytal Saar-tsechansky
    http://arxiv.org/abs/2105.11418v1

    • [cs.LG]Denoising Noisy Neural Networks: A Bayesian Approach with Compensation
    Yulin Shao, Soung Chang Liew, Deniz Gunduz
    http://arxiv.org/abs/2105.10699v1

    • [cs.LG]DepressionNet: A Novel Summarization Boosted Deep Framework for Depression Detection on Social Media
    Hamad Zogan, Imran Razzak, Shoaib Jameel, Guandong Xu
    http://arxiv.org/abs/2105.10878v1

    • [cs.LG]Fast Federated Learning by Balancing Communication Trade-Offs
    Milad Khademi Nori, Sangseok Yun, Il-Min Kim
    http://arxiv.org/abs/2105.11028v1

    • [cs.LG]Feasible Actor-Critic: Constrained Reinforcement Learning for Ensuring Statewise Safety
    Haitong Ma, Yang Guan, Shegnbo Eben Li, Xiangteng Zhang, Sifa Zheng, Jianyu Chen
    http://arxiv.org/abs/2105.10682v1

    • [cs.LG]Feature Encoding with AutoEncoders for Weakly-supervised Anomaly Detection
    Yingjie Zhou, Xucheng Song, Yanru Zhang, Fanxing Liu, Ce Zhu, Lingqiao Liu
    http://arxiv.org/abs/2105.10500v1

    • [cs.LG]Fed-NILM: A Federated Learning-based Non-Intrusive Load Monitoring Method for Privacy-Protection
    Haijin Wang, Caomingzhe Si, Junhua Zhao
    http://arxiv.org/abs/2105.11085v1

    • [cs.LG]FedScale: Benchmarking Model and System Performance of Federated Learning
    Fan Lai, Yinwei Dai, Xiangfeng Zhu, Mosharaf Chowdhury
    http://arxiv.org/abs/2105.11367v1

    • [cs.LG]Federated Graph Learning — A Position Paper
    Huanding Zhang, Tao Shen, Fei Wu, Mingyang Yin, Hongxia Yang, Chao Wu
    http://arxiv.org/abs/2105.11099v1

    • [cs.LG]From Finite to Countable-Armed Bandits
    Anand Kalvit, Assaf Zeevi
    http://arxiv.org/abs/2105.10721v1

    • [cs.LG]GMAC: A Distributional Perspective on Actor-Critic Framework
    Daniel Wontae Nam, Younghoon Kim, Chan Y. Park
    http://arxiv.org/abs/2105.11366v1

    • [cs.LG]Generation and Analysis of Feature-Dependent Pseudo Noise for Training Deep Neural Networks
    Sree Ram Kamabattula, Kumudha Musini, Babak Namazi, Ganesh Sankaranarayanan, Venkat Devarajan
    http://arxiv.org/abs/2105.10796v1

    • [cs.LG]Heterogeneous Graph Representation Learning with Relation Awareness
    Le Yu, Leilei Sun, Bowen Du, Chuanren Liu, Weifeng Lv, Hui Xiong
    http://arxiv.org/abs/2105.11122v1

    • [cs.LG]HyFed: A Hybrid Federated Framework for Privacy-preserving Machine Learning
    Reza Nasirigerdeh, Reihaneh Torkzadehmahani, Julian Matschinske, Jan Baumbach, Daniel Rueckert, Georgios Kaissis
    http://arxiv.org/abs/2105.10545v1

    • [cs.LG]Hypergraph Pre-training with Graph Neural Networks
    Boxin Du, Changhe Yuan, Robert Barton, Tal Neiman, Hanghang Tong
    http://arxiv.org/abs/2105.10862v1

    • [cs.LG]Improved OOD Generalization via Adversarial Training and Pre-training
    Mingyang Yi, Lu Hou, Jiacheng Sun, Lifeng Shang, Xin Jiang, Qun Liu, Zhi-Ming Ma
    http://arxiv.org/abs/2105.11144v1

    • [cs.LG]Inclusion of Domain-Knowledge into GNNs using Mode-Directed Inverse Entailment
    Tirtharaj Dash, Ashwin Srinivasan, A Baskar
    http://arxiv.org/abs/2105.10709v1

    • [cs.LG]Learning Baseline Values for Shapley Values
    Jie Ren, Zhanpeng Zhou, Qirui Chen, Quanshi Zhang
    http://arxiv.org/abs/2105.10719v1

    • [cs.LG]Learning Green’s Functions of Linear Reaction-Diffusion Equations with Application to Fast Numerical Solver
    Yuankai Teng, Xiaoping Zhang, Zhu Wang, Lili Ju
    http://arxiv.org/abs/2105.11045v1

    • [cs.LG]Machine Learning Regression based Single Event Transient Modeling Method for Circuit-Level Simulation
    ChangQing Xu, Yi Liu, XinFang Liao, JiaLiang Cheng, YinTang Yang
    http://arxiv.org/abs/2105.10723v1

    • [cs.LG]MultiFair: Multi-Group Fairness in Machine Learning
    Jian Kang, Tiankai Xie, Xintao Wu, Ross Maciejewski, Hanghang Tong
    http://arxiv.org/abs/2105.11069v1

    • [cs.LG]Novel Deep Learning Architecture for Heart Disease Prediction using Convolutional Neural Network
    Shadab Hussain, Susmith Barigidad, Shadab Akhtar, Md Suaib
    http://arxiv.org/abs/2105.10816v1

    • [cs.LG]Optimized conformal classification using gradient descent approximation
    Anthony Bellotti
    http://arxiv.org/abs/2105.11255v1

    • [cs.LG]Policy Mirror Descent for Regularized Reinforcement Learning: A Generalized Framework with Linear Convergence
    Wenhao Zhan, Shicong Cen, Baihe Huang, Yuxin Chen, Jason D. Lee, Yuejie Chi
    http://arxiv.org/abs/2105.11066v1

    • [cs.LG]Position-Sensing Graph Neural Networks: Proactively Learning Nodes Relative Positions
    Zhenyue Qin, Saeed Anwar, Dongwoo Kim, Yang Liu, Pan Ji, Tom Gedeon
    http://arxiv.org/abs/2105.11346v1

    • [cs.LG]Post-Training Sparsity-Aware Quantization
    Gil Shomron, Freddy Gabbay, Samer Kurzum, Uri Weiser
    http://arxiv.org/abs/2105.11010v1

    • [cs.LG]Privacy Amplification Via Bernoulli Sampling
    Jacob Imola, Kamalika Chaudhuri
    http://arxiv.org/abs/2105.10594v1

    • [cs.LG]Properties of the After Kernel
    Philip M. Long
    http://arxiv.org/abs/2105.10585v1

    • [cs.LG]Regularization Can Help Mitigate Poisoning Attacks… with the Right Hyperparameters
    Javier Carnerero-Cano, Luis Muñoz-González, Phillippa Spencer, Emil C. Lupu
    http://arxiv.org/abs/2105.10948v1

    • [cs.LG]Room Clearance with Feudal Hierarchical Reinforcement Learning
    Henry Charlesworth, Adrian Millea, Eddie Pottrill, Rich Riley
    http://arxiv.org/abs/2105.11328v1

    • [cs.LG]RtFPS: An Interactive Map that Visualizes and Predicts Wildfires in the US
    Yang Li, Hermawan Mulyono, Ying Chen, Zhiyin Lu, Desmond Chan
    http://arxiv.org/abs/2105.10880v1

    • [cs.LG]Skew Orthogonal Convolutions
    Sahil Singla, Soheil Feizi
    http://arxiv.org/abs/2105.11417v1

    • [cs.LG]SleepTransformer: Automatic Sleep Staging with Interpretability and Uncertainty Quantification
    Huy Phan, Kaare Mikkelsen, Oliver Y. Chén, Philipp Koch, Alfred Mertins, Maarten De Vos
    http://arxiv.org/abs/2105.11043v1

    • [cs.LG]THP: Topological Hawkes Processes for Learning Granger Causality on Event Sequences
    Ruichu Cai, Siyu Wu, Jie Qiao, Zhifeng Hao, Keli Zhang, Xi Zhang
    http://arxiv.org/abs/2105.10884v1

    • [cs.LG]Techniques Toward Optimizing Viewability in RTB Ad Campaigns Using Reinforcement Learning
    Michael Tashman, John Hoffman, Jiayi Xie, Fengdan Ye, Atefeh Morsali, Lee Winikor, Rouzbeh Gerami
    http://arxiv.org/abs/2105.10587v1

    • [cs.LG]Towards Artificial Intelligence Enabled Financial Crime Detection
    Zeinab Rouhollahi
    http://arxiv.org/abs/2105.10866v1

    • [cs.LG]Two-stage Training for Learning from Label Proportions
    Jiabin Liu, Bo Wang, Xin Shen, Zhiquan Qi, Yingjie Tian
    http://arxiv.org/abs/2105.10635v1

    • [cs.MA]Attention-based Reinforcement Learning for Real-Time UAV Semantic Communication
    Won Joon Yun, Byungju Lim, Soyi Jung, Young-Chai Ko, Jihong Park, Joongheon Kim, Mehdi Bennis
    http://arxiv.org/abs/2105.10716v1

    • [cs.MA]Cooperative Multi-Agent Path Finding: Beyond Path Planning and Collision Avoidance
    Nir Greshler, Ofir Gordon, Oren Salzman, Nahum Shimkin
    http://arxiv.org/abs/2105.10993v1

    • [cs.MA]Programming and Deployment of Autonomous Swarms using Multi-Agent Reinforcement Learning
    Jayson Boubin, Codi Burley, Peida Han, Bowen Li, Barry Porter, Christopher Stewart
    http://arxiv.org/abs/2105.10605v1

    • [cs.MM]Robust Watermarking using Diffusion of Logo into Autoencoder Feature Maps
    Maedeh Jamali, Nader Karim, Pejman Khadivi, Shahram Shirani, Shadrokh Samavi
    http://arxiv.org/abs/2105.11095v1

    • [cs.NE]Multi-objective Optimisation of Digital Circuits based on Cell Mapping in an Industrial EDA Flow
    Linan Cao, Simon J. Bale, Martin A. Trefzer
    http://arxiv.org/abs/2105.10410v1

    • [cs.NE]Photonic neural field on a silicon chip: large-scale, high-speed neuro-inspired computing and sensing
    Satoshi Sunada, Atsushi Uchida
    http://arxiv.org/abs/2105.10672v1

    • [cs.NE]Principled Design of Translation, Scale, and Rotation Invariant Variation Operators for Metaheuristics
    Ye Tian, Xingyi Zhang, Cheng He, Kay Chen Tan, Yaochu Jin
    http://arxiv.org/abs/2105.10657v1

    • [cs.NI]A Heuristic Approach to Efficient Deployment of SDN assisted UAV communication systems considering UAV Placement, Energy Consumption and Traffic Congestion
    Sai Teja Suggala, Siddhartha Pothukuchi, Naimat Ali Khan
    http://arxiv.org/abs/2105.10755v1

    • [cs.NI]AirNet: Neural Network Transmission over the Air
    Mikolaj Jankowski, Deniz Gunduz, Krystian Mikolajczyk
    http://arxiv.org/abs/2105.11166v1

    • [cs.NI]Cybercosm: New Foundations for a Converged Science Data Ecosystem
    Mark Asch, François Bodin, Micah Beck, Terry Moore, Michela Taufer, Jean-Pierre Vilotte
    http://arxiv.org/abs/2105.10680v1

    • [cs.NI]Decentralized, Hybrid MAC Design with Reduced State Information Exchange for Low-Delay IoT Applications
    Avinash Mohan, Arpan Chattopadhyay, Shivam Vinayak Vatsa, Anurag Kumar
    http://arxiv.org/abs/2105.11213v1

    • [cs.NI]Ising Machines’ Dynamics and Regularization for Near-Optimal Large and Massive MIMO Detection
    Abhishek Kumar Singh, Kyle Jamieson, Davide Venturelli, Peter McMahon
    http://arxiv.org/abs/2105.10535v1

    • [cs.NI]Latency of Concatenating Unlicensed LPWAN with Cellular IoT: An Experimental QoE Study
    Alvin Ramoutar, Zohreh Motamedi, Mouhamed Abdulla
    http://arxiv.org/abs/2105.10852v1

    • [cs.RO]Ankle Joints Are Beneficial When Optimizing Supported Real-world Bipedal Robot Gaits
    Hilmar Elverhøy, Steinar Bøe, Vegard Søyseth, Tønnes Nygaard
    http://arxiv.org/abs/2105.10764v1

    • [cs.RO]Belief Space Planning: A Covariance Steering Approach
    Dongliang Zheng, Jack Ridderhof, Panagiotis Tsiotras, Ali-akbar Agha-mohammadi
    http://arxiv.org/abs/2105.11092v1

    • [cs.RO]Bounds on Optimal Revisit Times in Persistent Monitoring Missions with a Distinct & Remote Service Station
    Sai Krishna Kanth Hari, Sivakumar Rathinam, Swaroop Darbha, Krishna Kalyanam, Satyanarayana Gupta Manyam, David Casbeer
    http://arxiv.org/abs/2105.10586v1

    • [cs.RO]Coarse-to-Fine for Sim-to-Real: Sub-Millimetre Precision Across the Workspace
    Eugene Valassakis, Norman Di Palo, Edward Johns
    http://arxiv.org/abs/2105.11283v1

    • [cs.RO]Deep Learning Traversability Estimator for Mobile Robots in Unstructured Environments
    Marco Visca, Sampo Kuutti, Roger Powell, Yang Gao, Saber Fallah
    http://arxiv.org/abs/2105.10937v1

    • [cs.RO]Design and Development of a Prototype Robotic Gripper
    Ramish, Farah Kanwal, Siraj Ali, Nida Ali
    http://arxiv.org/abs/2105.11024v1

    • [cs.RO]Design, Construction and Implementation of Stewart Platform with Control of Rolling Ball on Platform through Artificial Vision
    Alejandro Maldonado, Cristian Bueno, David Loza, Alexander Ibarra
    http://arxiv.org/abs/2105.10963v1

    • [cs.RO]Experimental Evaluation of a Hierarchical Operating Framework for Ground Robots in Agriculture
    Stuart Eiffert, Nathan D. Wallace, He Kong, Navid Pirmarzdashti, Salah Sukkarieh
    http://arxiv.org/abs/2105.10845v1

    • [cs.RO]Fixed-Dimensional and Permutation Invariant State Representation of Autonomous Driving
    Jingliang Duan, Dongjie Yu, Shengbo Eben Li, Wenxuan Wang, Yangang Ren, Ziyu Lin, Bo Cheng
    http://arxiv.org/abs/2105.11299v1

    • [cs.RO]High Throughput Soybean Pod-Counting with In-Field Robotic Data Collection and Machine-Vision Based Data Analysis
    Michael McGuire, Chinmay Soman, Brian Diers, Girish Chowdhary
    http://arxiv.org/abs/2105.10568v1

    • [cs.RO]Insect-Computer Hybrid System Capable of Autonomous Navigation and Human Detection in Unknown Environments
    P. Thanh Tran-Ngoc, D. Long Le, Bing Sheng Chong, H. Duoc Nguyen, V. Than Dung, Feng Cao, Yao Li, Kazuki Kai, Jia Hui Gan, T. Thang Vo-Doan, T. Luan Nguyen, Hirotaka Sato
    http://arxiv.org/abs/2105.10869v1

    • [cs.RO]On Incremental Structure-from-Motion using Lines
    André Mateus, Omar Tahri, A. Pedro Aguiar, Pedro U. Lima, Pedro Miraldo
    http://arxiv.org/abs/2105.11196v1

    • [cs.RO]OverlapNet: Loop Closing for LiDAR-based SLAM
    Xieyuanli Chen, Thomas Läbe, Andres Milioto, Timo Röhling, Olga Vysotska, Alexandre Haag, Jens Behley, Cyrill Stachniss
    http://arxiv.org/abs/2105.11344v1

    • [cs.RO]Resource and Response Aware Path Planning for Long-term Autonomy of Ground Robots in Agriculture
    Stuart Eiffert, Nathan D. Wallace, He Kong, Navid Pirmarzdashti, Salah Sukkarieh
    http://arxiv.org/abs/2105.10690v1

    • [cs.RO]Robotic additive construction of bar structures: Unified sequence and motion planning
    Yijiang Huang, Caelan Garrett, Ian Ting, Stefana Parascho, Caitlin Mueller
    http://arxiv.org/abs/2105.11438v1

    • [cs.RO]Soft robotic suits: State of the art, core technologies and open challenges
    Michele Xiloyannis, Ryan Alicea, Anna-Maria Georgarakis, Florian L. Haufe, Peter Wolf, Lorenzo Masia, Robert Riener
    http://arxiv.org/abs/2105.10588v1

    • [cs.RO]SuMa++: Efficient LiDAR-based Semantic SLAM
    Xieyuanli Chen, Andres Milioto, Emanuele Palazzolo, Philippe Giguère, Jens Behley, Cyrill Stachniss
    http://arxiv.org/abs/2105.11320v1

    • [cs.RO]Toolbox Spotter: A Computer Vision System for Real World Situational Awareness in Heavy Industries
    Stuart Eiffert, Alexander Wendel, Peter Colborne-Veel, Nicholas Leong, John Gardenier, Nathan Kirchner
    http://arxiv.org/abs/2105.10842v1

    • [cs.RO]User-oriented Natural Human-Robot Control with Thin-Plate Splines and LRCN
    Bruno Lima, Lucas Amaral, Givanildo Nascimento-Jr, Victor Mafra, Bruno Georgevich Ferreira, Tiago Vieira, Thales Vieira
    http://arxiv.org/abs/2105.11056v1

    • [cs.RO]Whole-Body Control on Non-holonomic Mobile Manipulation for Grapevine Winter Pruning Automation
    Tao Teng, Miguel Fernandes, Matteo Gatti, Stefano Poni, Claudio Semini, Darwin Caldwell, Fei Chen
    http://arxiv.org/abs/2105.10777v1

    • [cs.SC]On the Complexity and Parallel Implementation of Hensel’s Lemma and Weierstrass Preparation
    Alexander Brandt, Marc Moreno Maza
    http://arxiv.org/abs/2105.10798v1

    • [cs.SE]Augmenting Modelers with Semantic Autocompletion of Processes
    Maayan Goldstein, Cecilia Gonzalez-Alvarez
    http://arxiv.org/abs/2105.11385v1

    • [cs.SE]The Early Bird Catches the Worm: Better Early Life Cycle Defect Predictors
    N. C. Shrikanth, Tim Menzies
    http://arxiv.org/abs/2105.11082v1

    • [cs.SI]Crawling Twitter data through API: A technical/legal perspective
    Shahab Saquib Sohail, Mohammad Muzammil Khan, Mohd Arsalan, Aslam Khan, Jamshed Siddiqui, Syed Hamid Hasan, M. Afshar Alam
    http://arxiv.org/abs/2105.10724v1

    • [cs.SI]Detecting Treatment Effect Modifiers in Social Networks
    Amir Gilad, Harsh Parikh, Babak Salimi, Sudeepa Roy
    http://arxiv.org/abs/2105.10591v1

    • [cs.SI]Dynamic Hawkes Processes for Discovering Time-evolving Communities’ States behind Diffusion Processes
    Maya Okawa, Tomoharu Iwata, Yusuke Tanaka, Hiroyuki Toda, Takeshi Kurashima, Hisashi Kashima
    http://arxiv.org/abs/2105.11152v1

    • [cs.SI]From Base Data To Knowledge Discovery — A Life Cycle Approach — Using Multilayer Networks
    Abhishek Santra, Kanthi Komar, Sanjukta Bhowmick, Sharma Chakravarthy
    http://arxiv.org/abs/2105.11410v1

    • [cs.SI]How They Tweet? An Insightful Analysis of Twitter Handles of Saudi Arabia
    Mohammad Muzammil Khan, Shahab Saquib Sohail, Darakhshan Ishrat
    http://arxiv.org/abs/2105.10736v1

    • [cs.SI]Modeling Collective Anticipation and Response on Wikipedia
    Ryota Kobayashi, Patrick Gildersleve, Takeaki Uno, Renaud Lambiotte
    http://arxiv.org/abs/2105.10900v1

    • [cs.SI]SOK: Fake News Outbreak 2021: Can We Stop the Viral Spread?
    Tanveer Khan, Antonis Michalas, Adnan Akhunzada
    http://arxiv.org/abs/2105.10671v1

    • [cs.SI]Sockpuppet Detection: a Telegram case study
    Gabriele Pisciotta, Miriana Somenzi, Elisa Barisani, Giulio Rossetti
    http://arxiv.org/abs/2105.10799v1

    • [econ.EM]Inference for multi-valued heterogeneous treatment effects when the number of treated units is small
    Marina Dias, Demian Pouzo
    http://arxiv.org/abs/2105.10965v1

    • [econ.EM]Vector autoregression models with skewness and heavy tails
    Sune Karlsson, Stepan Mazur, Hoang Nguyen
    http://arxiv.org/abs/2105.11182v1

    • [eess.IV]A self-supervised learning strategy for postoperative brain cavity segmentation simulating
    c9b
    resections
    Fernando Pérez-García, Reuben Dorent, Michele Rizzi, Francesco Cardinale, Valerio Frazzini, Vincent Navarro, Caroline Essert, Irène Ollivier, Tom Vercauteren, Rachel Sparks, John S. Duncan, Sébastien Ourselin
    http://arxiv.org/abs/2105.11239v1

    • [eess.IV]Automatic calibration of time of flight based non-line-of-sight reconstruction
    Subhash Chandra Sadhu, Abhishek Singh, Tomohiro Maeda, Tristan Swedish, Ryan Kim, Lagnojita Sinha, Ramesh Raskar
    http://arxiv.org/abs/2105.10603v1

    • [eess.IV]Brain tumour segmentation using a triplanar ensemble of U-Nets
    Vaanathi Sundaresan, Ludovica Griffanti, Mark Jenkinson
    http://arxiv.org/abs/2105.11356v1

    • [eess.IV]DDR-Net: Dividing and Downsampling Mixed Network for Diffeomorphic Image Registration
    Ankita Joshi, Yi Hong
    http://arxiv.org/abs/2105.11361v1

    • [eess.IV]Design to automate the detection and counting of Tuberculosis(TB) bacilli
    Dinesh Jackson Samuel, Rajesh Kanna Baskaran
    http://arxiv.org/abs/2105.11432v1

    • [eess.IV]FBI-Denoiser: Fast Blind Image Denoiser for Poisson-Gaussian Noise
    Jaeseok Byun, Sungmin Cha, Taesup Moon
    http://arxiv.org/abs/2105.10967v1

    • [eess.IV]MIASSR: An Approach for Medical Image Arbitrary Scale Super-Resolution
    Jin Zhu, Chuan Tan, Junwei Yang, Guang Yang, Pietro Lio’
    http://arxiv.org/abs/2105.10738v1

    • [eess.IV]Orthogonal Ensemble Networks for Biomedical Image Segmentation
    Agostina J. Larrazabal, César Martínez, Jose Dolz, Enzo Ferrante
    http://arxiv.org/abs/2105.10827v1

    • [eess.IV]Pulmonary embolism identification in computerized tomography pulmonary angiography scans with deep learning technologies in COVID-19 patients
    Chairi Kiourt, Georgios Feretzakis, Konstantinos Dalamarinis, Dimitris Kalles, Georgios Pantos, Ioannis Papadopoulos, Spyros Kouris, George Ioannakis, Evangelos Loupelis, Aikaterini Sakagianni
    http://arxiv.org/abs/2105.11187v1

    • [eess.IV]SSCAN: A Spatial-spectral Cross Attention Network for Hyperspectral Image Denoising
    Zhiqiang Wang, Zhenfeng Shao, Xiao Huang, Jiaming Wang, Tao Lu, Sihang Zhang
    http://arxiv.org/abs/2105.10949v1

    • [eess.IV]Smart mobile microscopy: towards fully-automated digitization
    A. Kornilova, I. Kirilenko, D. Iarosh, V. Kutuev, M. Strutovsky
    http://arxiv.org/abs/2105.11179v1

    • [eess.SP]V2V Spatiotemporal Interactive Pattern Recognition and Risk Analysis in Lane Changes
    Yue Zhang, Yajie Zou, Lingtao Wu
    http://arxiv.org/abs/2105.10688v1

    • [eess.SY]Analysis of Contractions in System Graphs: Application to State Estimation
    Mohammadreza Doostmohammadian, Themistoklis Charalambous, Miadreza Shafie-khah, Hamid R. Rabiee, Usman A. Khan
    http://arxiv.org/abs/2105.10641v1

    • [eess.SY]Enhancing Feasibility and Safety of Nonlinear Model Predictive Control with Discrete-Time Control Barrier Functions
    Jun Zeng, Zhongyu Li, Koushil Sreenath
    http://arxiv.org/abs/2105.10596v1

    • [eess.SY]Simultaneous Distributed Estimation and Attack Detection/Isolation in Social Networks: Structural Observability, Kronecker-Product Network, and Chi-Square Detector
    Mohammadreza Doostmohammadian, Themistoklis Charalambous, Miadreza Shafie-khah, Nader Meskin, Usman A. Khan
    http://arxiv.org/abs/2105.10639v1

    • [math.DS]Embedding Information onto a Dynamical System
    G Manjunath
    http://arxiv.org/abs/2105.10766v1

    • [math.DS]Universal set of Observables for the Koopman Operator through Causal Embedding
    G Manjunath, A de Clercq
    http://arxiv.org/abs/2105.10759v1

    • [math.OC]The role of frustration in collective decision-making dynamical pr
    1000
    ocesses on multiagent signed networks
    Angela Fontan, Claudio Altafini
    http://arxiv.org/abs/2105.11396v1

    • [math.ST]Asymptotic Moments Matching to Uniformly Minimum Variance Unbiased Estimation under Ewens Sampling Formula
    Masayo Y. Hirose, Shuhei Mano
    http://arxiv.org/abs/2105.11067v1

    • [math.ST]Locally private online change point detection
    Thomas Berrett, Yi Yu
    http://arxiv.org/abs/2105.10675v1

    • [physics.chem-ph]Autonomous Kinetic Modeling of Biomass Pyrolysis using Chemical Reaction Neural Networks
    Weiqi Ji, Franz Richter, Michael J. Gollner, Sili Deng
    http://arxiv.org/abs/2105.11397v1

    • [physics.comp-ph]Parallel adaptive procedure for CFD simulations
    Imad Kissami, Souhail Maazioui, Fayssal Benkhaldoun
    http://arxiv.org/abs/2105.11236v1

    • [physics.med-ph]Post-Radiotherapy PET Image Outcome Prediction by Deep Learning under Biological Model Guidance: A Feasibility Study of Oropharyngeal Cancer Application
    Hangjie Ji, Kyle Lafata, Yvonne Mowery, David Brizel, Andrea L. Bertozzi, Fang-Fang Yin, Chunhao Wang
    http://arxiv.org/abs/2105.10650v1

    • [q-bio.GN]GapPredict: A Language Model for Resolving Gaps in Draft Genome Assemblies
    Eric Chen, Justin Chu, Jessica Zhang, Rene L. Warren, Inanc Birol
    http://arxiv.org/abs/2105.10552v1

    • [q-fin.CP]Arbitrage-free neural-SDE market models
    Samuel N. Cohen, Christoph Reisinger, Sheng Wang
    http://arxiv.org/abs/2105.11053v1

    • [q-fin.PR]Can we imitate stock price behavior to reinforcement learn option price?
    Xin Jin
    http://arxiv.org/abs/2105.11376v1

    • [stat.AP]A tutorial on reproducing a predefined autocovariance function through AR models
    Cristobal Gallego-Castillo, Alvaro Cuerva-Tejero, Mohanad Elagamy, Oscar Lopez-Garcia, Sergio Avila
    http://arxiv.org/abs/2105.11409v1

    • [stat.CO]A new computational framework for log-concave density estimation
    Wenyu Chen, Rahul Mazumder, Richard J. Samworth
    http://arxiv.org/abs/2105.11387v1

    • [stat.ME]A Bayesian approach for partial Gaussian graphical models with sparsity
    Eunice Okome Obiang, Pascal Jézéquel, Frédéric Proïa
    http://arxiv.org/abs/2105.10888v1

    • [stat.ME]A Bayesian change point model for spatio-temporal data
    Candace Berrett, Brianne Gurney, David Arthur, Todd Moon, Gus P. Williams
    http://arxiv.org/abs/2105.10637v1

    • [stat.ME]A note on efficient audit sample selection
    Laura Boeschoten, Sander Scholtus, Arnout van Delden
    http://arxiv.org/abs/2105.10737v1

    • [stat.ME]Approximating the Operating Characteristics of Bayesian Uncertainty Directed Trial Designs
    Marta Bonsaglio, Sandra Fortini, Steffen Ventz, Lorenzo Trippa
    http://arxiv.org/abs/2105.11177v1

    • [stat.ME]Bayesian Effect Selection for Additive Quantile Regression with an Analysis to Air Pollution Thresholds
    Nadja Klein, Jorge Mateu
    http://arxiv.org/abs/2105.10890v1

    • [stat.ME]Change Point Detection in Nonstationary Sub-Hourly Wind Time Series
    Sakitha Ariyarathne, Harsha Gangammanavar, Raanju R. Sundararajan
    http://arxiv.org/abs/2105.11353v1

    • [stat.ME]Controlling the False Discovery Rate in Complex Multi-Way Classified Hypotheses
    Shinjini Nandi, Sanat K. Sarkar
    http://arxiv.org/abs/2105.10839v1

    • [stat.ME]Deconvolution density estimation with penalised MLE
    Yun Cai, Hong Gu, Toby Kenney
    http://arxiv.org/abs/2105.11205v1

    • [stat.ME]Entropy-based adaptive design for contour finding and estimating reliability
    D. Austin Cole, Robert B. Gramacy, James E. Warner, Geoffrey F. Bomarito, Patrick E. Leser, William P. Leser
    http://arxiv.org/abs/2105.11357v1

    • [stat.ME]Exact PPS Sampling with Bounded Sample Size
    Brian Hentschel, Peter J. Haas, Yuanyuan Tian
    http://arxiv.org/abs/2105.10809v1

    • [stat.ME]Hypothesis Testing for Equality of Latent Positions in Random Graphs
    Xinjie Du, Minh Tang
    http://arxiv.org/abs/2105.10838v1

    • [stat.ME]Model-Assisted Inference for Covariate-Specific Treatment Effects with High-dimensional Data
    Peng Wu, Zhiqiang Tan, Wenjie Hu, Xiao-Hua Zhou
    http://arxiv.org/abs/2105.11362v1

    • [stat.ME]Multiple Change Point Detection in StructuredVAR Models: the VARDetect R Package
    Peiliang Bai, Yue Bai, Abolfazl Safikhani, George Michailidis
    http://arxiv.org/abs/2105.11007v1

    • [stat.ME]Post-Model-Selection Statistical Inference with Interrupted Time Series Designs: An Evaluation of an Assault Weapons Ban in California
    Richard A. Berk
    http://arxiv.org/abs/2105.10624v1

    • [stat.ME]Robust Bayesian Nonparametric Variable Selection for Linear Regression
    Alberto Cabezas, Marco Battiston, Christopher Nemeth
    http://arxiv.org/abs/2105.11022v1

    • [stat.ME]Robust Dynamic Mode Decomposition
    Amir Hossein Abolmasoumi, Marcos Netto, Lamine Mili
    http://arxiv.org/abs/2105.09869v2

    • [stat.ME]Spatial Temporal Aggregated Predictors to Examine Built Environment Health Effects
    Adam Peterson, Jana Hirsch, Brisa Sanchez
    http://arxiv.org/abs/2105.10565v1

    • [stat.ME]Statistical Testing under Distributional Shifts
    Nikolaj Thams, Sorawit Saengkyongam, Niklas Pfister, Jonas Peters
    http://arxiv.org/abs/2105.10821v1

    • [stat.ML]EXoN: EXplainable encoder Network
    SeungHwan An, Jong-June Jeon, Hosik Choi
    http://arxiv.org/abs/2105.10867v1

    • [stat.ML]Estimating leverage scores via rank revealing methods and randomization
    Aleksandros Sobczyk, Efstratios Gallopoulos
    http://arxiv.org/abs/2105.11004v1

    • [stat.ML]GOALS: Gradient-Only Approximations for Line Searches Towards Robust and Consistent Training of Deep Neural Networks
    Younghwan Chae, Daniel N. Wilke, Dominic Kafka
    http://arxiv.org/abs/2105.10915v1

    • [stat.ML]Parallelizing Contextual Linear Bandits
    Jeffrey Chan, Aldo Pacchiano, Nilesh Tripuraneni, Yun S. Song, Peter Bartlett, Michael I. Jordan
    http://arxiv.org/abs/2105.10590v1

    • [stat.ML]Robust learning with anytime-guaranteed feedback
    Matthew J. Holland
    http://arxiv.org/abs/2105.11135v1

    • [stat.ML]Spectral Pruning for Recurrent Neural Networks
    Takashi Furuya, Kazuma Suetake, Koichi Taniguchi, Hiroyuki Kusumoto, Ryuji Saiin, Tomohiro Daimon
    http://arxiv.org/abs/2105.10832v1

    • [stat.ML]Uncertainty quantification for distributed regression
    Valeriy Avanesov
    http://arxiv.org/abs/2105.11425v1