cond-mat.stat-mech - 统计数学
    cs.AI - 人工智能
    cs.AR - 硬件体系结构
    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.DB - 数据库
    cs.DC - 分布式、并行与集群计算
    cs.ET - 新兴技术
    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.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.SD - 声音处理
    cs.SE - 软件工程
    cs.SI - 社交网络与信息网络
    eess.IV - 图像与视频处理
    eess.SP - 信号处理
    eess.SY - 系统和控制
    math.DG - 微分几何
    math.OC - 优化与控制
    math.PR - 概率
    math.ST - 统计理论
    physics.chem-ph -化学物理
    physics.flu-dyn - 流体动力学
    physics.soc-ph - 物理学与社会
    q-bio.NC - 神经元与认知
    q-bio.QM - 定量方法
    q-fin.CP -计算金融学
    quant-ph - 量子物理
    stat.AP - 应用统计
    stat.ME - 统计方法论
    stat.ML - (统计)机器学习

    • [cond-mat.stat-mech]Fundamental Advantage of Feedback Control Caused by Dissipation of Internal Correlations
    • [cs.AI]Constrained Shortest Path Search with Graph Convolutional Neural Networks
    • [cs.AI]Cybonto: Towards Human Cognitive Digital Twins for Cybersecurity
    • [cs.AI]Learning off-road maneuver plans for autonomous vehicles
    • [cs.AI]Machine Learning Constructives and Local Searches for the Travelling Salesman Problem
    • [cs.AI]Optimal Solving of Constrained Path-Planning Problems with Graph Convolutional Networks and Optimized Tree Search
    • [cs.AI]Planning with Learned Binarized Neural Networks Benchmarks for MaxSAT Evaluation 2021
    • [cs.AI]Procedural Generation of 3D Maps with Snappable Meshes
    • [cs.AI]RLTutor: Reinforcement Learning Based Adaptive Tutoring System by Modeling Virtual Student with Fewer Interactions
    • [cs.AI]Time-based Dynamic Controllability of Disjunctive Temporal Networks with Uncertainty: A Tree Search Approach with Graph Neural Network Guidance
    • [cs.AI]Unlimited Neighborhood Interaction for Heterogeneous Trajectory Prediction
    • [cs.AR]Accelerating Markov Random Field Inference with Uncertainty Quantification
    • [cs.AR]RFC-HyPGCN: A Runtime Sparse Feature Compress Accelerator for Skeleton-Based GCNs Action Recognition Model with Hybrid Pruning
    • [cs.CL]A Psychologically Informed Part-of-Speech Analysis of Depression in Social Media
    • [cs.CL]Attention-based Aspect Reasoning for Knowledge Base Question Answering on Clinical Notes
    • [cs.CL]Changes in European Solidarity Before and During COVID-19: Evidence from a Large Crowd- and Expert-Annotated Twitter Dataset
    • [cs.CL]ChrEnTranslate: Cherokee-English Machine Translation Demo with Quality Estimation and Corrective Feedback
    • [cs.CL]ConveRT, an Application to FAQ Answering
    • [cs.CL]DECAF: Deep Extreme Classification with Label Features
    • [cs.CL]Diverse Linguistic Features for Assessing Reading Difficulty of Educational Filipino Texts
    • [cs.CL]ECLARE: Extreme Classification with Label Graph Correlations
    • [cs.CL]Enhancing Content Preservation in Text Style Transfer Using Reverse Attention and Conditional Layer Normalization
    • [cs.CL]Enhancing Content Preservation in Text Style Transfer Using Reverse Attention and Conditional Layer Normalization
    • [cs.CL]From LSAT: The Progress and Challenges of Complex Reasoning
    • [cs.CL]Geolocation differences of language use in urban areas
    • [cs.CL]Human Evaluation of Creative NLG Systems: An Interdisciplinary Survey on Recent Papers
    • [cs.CL]Improving Social Meaning Detection with Pragmatic Masking and Surrogate Fine-Tuning
    • [cs.CL]Is My Model Using The Right Evidence? Systematic Probes for Examining Evidence-Based Tabular Reasoning
    • [cs.CL]LICHEE: Improving Language Model Pre-training with Multi-grained Tokenization
    • [cs.CL]Learning to Look Inside: Augmenting Token-Based Encoders with Character-Level Information
    • [cs.CL]Logic-Consistency Text Generation from Semantic Parses
    • [cs.CL]MTVR: Multilingual Moment Retrieval in Videos
    • [cs.CL]MuSiQue: Multi-hop Questions via Single-hop Question Composition
    • [cs.CL]Opinion Prediction with User Fingerprinting
    • [cs.CL]Relation Aware Semi-autoregressive Semantic Parsing for NL2SQL
    • [cs.CL]Structural Guidance for Transformer Language Models
    • [cs.CL]TabPert: An Effective Platform for Tabular Perturbation
    • [cs.CL]Towards Continual Entity Learning in Language Models for Conversational Agents
    • [cs.CL]Transfer Learning for Mining Feature Requests and Bug Reports from Tweets and App Store Reviews
    • [cs.CL]Transformer-Encoder-GRU (T-E-GRU) for Chinese Sentiment Analysis on Chinese Comment Text
    • [cs.CL]Using Knowledge-Embedded Attention to Augment Pre-trained Language Models for Fine-Grained Emotion Recognition
    • [cs.CL]WLV-RIT at GermEval 2021: Multitask Learning with Transformers to Detect Toxic, Engaging, and Fact-Claiming Comments
    • [cs.CR]BadEncoder: Backdoor Attacks to Pre-trained Encoders in Self-Supervised Learning
    • [cs.CR]On the Privacy of National Contact Tracing COVID-19 Applications: The Coronavírus-SUS Case
    • [cs.CR]Privacy-Aware Rejection Sampling
    • [cs.CR]Private Retrieval, Computing and Learning: Recent Progress and Future Challenges
    • [cs.CR]Towards Making Deep Learning-based Vulnerability Detectors Robust
    • [cs.CV]A Dynamic 3D Spontaneous Micro-expression Database: Establishment and Evaluation
    • [cs.CV]A New Semi-supervised Learning Benchmark for Classifying View and Diagnosing Aortic Stenosis from Echocardiograms
    • [cs.CV]Active Perception for Ambiguous Objects Classification
    • [cs.CV]An Applied Deep Learning Approach for Estimating Soybean Relative Maturity from UAV Imagery to Aid Plant Breeding Decisions
    • [cs.CV]An Effective and Robust Detector for Logo Detection
    • [cs.CV]Angle Based Feature Learning in GNN for 3D Object Detection using Point Cloud
    • [cs.CV]Applications of Artificial Neural Networks in Microorganism Image Analysis: A Comprehensive Review from Conventional Multilayer Perceptron to Popular Convolutional Neural Network and Potential Visual Transformer
    • [cs.CV]BORM: Bayesian Object Relation Model for Indoor Scene Recognition
    • [cs.CV]BezierSeg: Parametric Shape Representation for Fast Object Segmentation in Medical Images
    • [cs.CV]BundleTrack: 6D Pose Tracking for Novel Objects without Instance or Category-Level 3D Models
    • [cs.CV]CERL: A Unified Optimization Framework for Light Enhancement with Realistic Noise
    • [cs.CV]CSC-Unet: A Novel Convolutional Sparse Coding Strategy based Neural Network for Semantic Segmentation
    • [cs.CV]Chest ImaGenome Dataset for Clinical Reasoning
    • [cs.CV]Comparing object recognition in humans and deep convolutional neural networks — An eye tracking study
    • [cs.CV]Constrained Graphic Layout Generation via Latent Optimization
    • [cs.CV]CrossFormer: A Versatile Vision Transformer Based on Cross-scale Attention
    • [cs.CV]Deep Feature Tracker: A Novel Application for Deep Convolutional Neural Networks
    • [cs.CV]Deep graph matching meets mixed-integer linear programming: Relax at your own risk ?
    • [cs.CV]Delving into Deep Image Prior for Adversarial Defense: A Novel Reconstruction-based Defense Framework
    • [cs.CV]Developing a Compressed Object Detection Model based on YOLOv4 for Deployment on Embedded GPU Platform of Autonomous System
    • [cs.CV]Discovering “Semantics” in Super-Resolution Networks
    • [cs.CV]Distributed Attention for Grounded Image Captioning
    • [cs.CV]ELLIPSDF: Joint Object Pose and Shape Optimization with a Bi-level Ellipsoid and Signed Distance Function Description
    • [cs.CV]Edge-competing Pathological Liver Vessel Segmentation with Limited Labels
    • [cs.CV]Efficient Deep Feature Calibration for Cross-Modal Joint Embedding Learning
    • [cs.CV]Explainable Deep Few-shot Anomaly Detection with Deviation Networks
    • [cs.CV]FLASH: Fast Neural Architecture Search with Hardware Optimization
    • [cs.CV]Finding Discriminative Filters for Specific Degradations in Blind Super-Resolution
    • [cs.CV]Flip Learning: Erase to Segment
    • [cs.CV]Forward-Looking Sonar Patch Matching: Modern CNNs, Ensembling, and Uncertainty
    • [cs.CV]GTNet:Guided Transformer Network for Detecting Human-Object Interactions
    • [cs.CV]GraphFPN: Graph Feature Pyramid Network for Object Detection
    • [cs.CV]Greedy Network Enlarging
    • [cs.CV]Group Fisher Pruning for Practical Network Compression
    • [cs.CV]HR-Crime: Human-Related Anomaly Detection in Surveillance Videos
    • [cs.CV]HiFT: Hierarchical Feature Transformer for Aerial Tracking
    • [cs.CV]Hyper360 — a Next Generation Toolset for Immersive Media
    • [cs.CV]I2V-GAN: Unpaired Infrared-to-Visible Video Translation
    • [cs.CV]Investigating Attention Mechanism in 3D Point Cloud Object Detection
    • [cs.CV]Knowing When to Quit: Selective Cascaded Regression with Patch Attention for Real-Time Face Alignment
    • [cs.CV]LASOR: Learning Accurate 3D Human Pose and Shape Via Synthetic Occlusion-Aware Data and Neural Mesh Rendering
    • [cs.CV]LDDMM-Face: Large Deformation Diffeomorphic Metric Learning for Flexible and Consistent Face Alignment
    • [cs.CV]Learn to Match: Automatic Matching Network Design for Visual Tracking
    • [cs.CV]Learning Few-shot Open-set Classifiers using Exemplar Reconstruction
    • [cs.CV]Learning Instance-level Spatial-Temporal Patterns for Person Re-identification
    • [cs.CV]Learning Maritime Obstacle Detection from Weak Annotations by Scaffolding
    • [cs.CV]Learning TFIDF Enhanced Joint Embedding for Recipe-Image Cross-Modal Retrieval Service
    • [cs.CV]Manifold-Inspired Single Image Interpolation
    • [cs.CV]Margin-Aware Intra-Class Novelty Identification for Medical Images
    • [cs.CV]Multi-scale Matching Networks for Semantic Correspondence
    • [cs.CV]Multilevel Knowledge Transfer for Cross-Domain Object Detection
    • [cs.CV]Multimodal Feature Fusion for Video Advertisements Tagging Via Stacking Ensemble
    • [cs.CV]Multiple Classifiers Based Maximum Classifier Discrepancy for Unsupervised Domain Adaptation
    • [cs.CV]Multiplex Graph Networks for Multimodal Brain Network Analysis
    • [cs.CV]My Eyes Are Up Here: Promoting Focus on Uncovered Regions in Masked Face Recognition
    • [cs.CV]Neural Free-Viewpoint Performance Rendering under ComplexHuman-object Interactions
    • [cs.CV]Object-to-Scene: Learning to Transfer Object Knowledge to Indoor Scene Recognition
    • [cs.CV]On The State of Data In Computer Vision: Human Annotations Remain Indispensable for Developing Deep Learning Models
    • [cs.CV]PSE-Match: A Viewpoint-free Place Recognition Method with Parallel Semantic Embedding
    • [cs.CV]Pose-Guided Feature Learning with Knowledge Distillation for Occluded Person Re-Identification
    • [cs.CV]PoseFusion2: Simultaneous Background Reconstruction and Human Shape Recovery in Real-time
    • [cs.CV]Pro-UIGAN: Progressive Face Hallucination from Occluded Thumbnails
    • [cs.CV]RINDNet: Edge Detection for Discontinuity in Reflectance, Illumination, Normal and Depth
    • [cs.CV]Recurrent Mask Refinement for Few-Shot Medical Image Segmentation
    • [cs.CV]Reliable Semantic Segmentation with Superpixel-Mix
    • [cs.CV]S今日学术视野(2021.8.4) - 图1-MLPv2: Improved Spatial-Shift MLP Architecture for Vision
    • [cs.CV]SDEdit: Image Synthesis and Editing with Stochastic Differential Equations
    • [cs.CV]SSPU-Net: Self-Supervised Point Cloud Upsampling via Differentiable Rendering
    • [cs.CV]Scene Inference for Object Illumination Editing
    • [cs.CV]Self Context and Shape Prior for Sensorless Freehand 3D Ultrasound Reconstruction
    • [cs.CV]Self-supervised Audiovisual Representation Learning for Remote Sensing Data
    • [cs.CV]Self-supervised Learning with Local Attention-Aware Feature
    • [cs.CV]Semi-Supervising Learning, Transfer Learning, and Knowledge Distillation with SimCLR
    • [cs.CV]Shallow Attention Network for Polyp Segmentation
    • [cs.CV]Shallow Feature Matters for Weakly Supervised Object Localization
    • [cs.CV]StyleGAN-NADA: CLIP-Guided Domain Adaptation of Image Generators
    • [cs.CV]SyDog: A Synthetic Dog Dataset for Improved 2D Pose Estimation
    • [cs.CV]T今日学术视野(2021.8.4) - 图2ML-AP: Adversarial Attacks to Top-今日学术视野(2021.8.4) - 图3 Multi-Label Learning
    • [cs.CV]Threat of Adversarial Attacks on Deep Learning in Computer Vision: Survey II
    • [cs.CV]Towards Adversarially Robust and Domain Generalizable Stereo Matching by Rethinking DNN Feature Backbones
    • [cs.CV]Towards Robust Object Detection: Bayesian RetinaNet for Homoscedastic Aleatoric Uncertainty Modeling
    • [cs.CV]Towards explainable artificial intelligence (XAI) for early anticipation of traffic accidents
    • [cs.CV]Training face verification models from generated face identity data
    • [cs.CV]Unsupervised Cross-Modal Distillation for Thermal Infrared Tracking
    • [cs.CV]Visual Boundary Knowledge Translation for Foreground Segmentation
    • [cs.CV]WAS-VTON: Warping Architecture Search for Virtual Try-on Network
    • [cs.CV]Wood-leaf classification of tree point cloud based on intensity and geometrical information
    • [cs.CV]Word2Pix: Word to Pixel Cross Attention Transformer in Visual Grounding
    • [cs.DB]Extending Sticky-Datalog+/- via Finite-Position SelectionFunctions: Tractability, Algorithms, and Optimization
    • [cs.DC]BigGraphVis: Leveraging Streaming Algorithms and GPU Acceleration for Visualizing Big Graphs
    • [cs.DC]Bringing AI pipelines onto cloud-HPC: setting a baseline for accuracy of COVID-19 AI diagnosis
    • [cs.DC]Communication-Efficient Federated Learning via Predictive Coding
    • [cs.DC]Experimental Findings on the Sources of Detected Unrecoverable Errors in GPUs
    • [cs.DC]Information Batteries: Storing Opportunity Power with Speculative Execution
    • [cs.DC]Local certification of graph decompositions and applications to minor-free classes
    • [cs.DC]Resource Management in Edge and Fog Computing using FogBus2 Framework
    • [cs.DC]Webots.HPC: A Parallel Robotics Simulation Pipeline for Autonomous Vehicles on High Performance Computing
    • [cs.DC]YASMIN: a Real-time Middleware for COTS Heterogeneous Platforms
    • [cs.ET]Long-Range Optical Wireless Information and Power Transfer
    • [cs.GT]Emerging Methods of Auction Design in Social Networks
    • [cs.HC]Improving Deep Learning for HAR with shallow LSTMs
    • [cs.HC]Predicting user demographics based on interest analysis
    • [cs.HC]StudyMe: A New Mobile App for User-Centric N-of-1 Trials
    • [cs.IR]An Empirical analysis on Transparent Algorithmic Exploration in Recommender Systems
    • [cs.IR]Cross-cultural Mood Perception in Pop Songs and its Alignment with Mood Detection Algorithms
    • [cs.IR]Exploring Lottery Ticket Hypothesis in Media Recommender Systems
    • [cs.IR]Jointly Optimizing Query Encoder and Product Quantization to Improve Retrieval Performance
    • [cs.IR]Relevance ranking for proximity full-text search based on additional indexes with multi-component keys
    • [cs.IR]Self-supervised Answer Retrieval on Clinical Notes
    • [cs.IT]A Reinforcement Learning Approach for Scheduling in mmWave Networks
    • [cs.IT]A Training-Based Mutual Information Lower Bound for Large-Scale Systems
    • [cs.IT]Accurate Signal Recovery in UHF Band Reuse-1 Cellular OFDMA Downlinks
    • [cs.IT]Angle Estimation for Terahertz Ultra-Massive MIMO-Based Space-to-Air Communications
    • [cs.IT]Compressed sensing in the presence of speckle noise
    • [cs.IT]Delay Aware Secure Offloading for NOMA-Assisted Mobile Edge Computing in Internet of Vehicles
    • [cs.IT]Design of Non-Orthogonal Sequences Using a Two-Stage Genetic Algorithm for Grant-Free Massive Connectivity
    • [cs.IT]Distributed Learning for Time-varying Networks: A Scalable Design
    • [cs.IT]Edge Intelligence in Softwarized 6G: Deep Learning-enabled Network Traffic Predictions
    • [cs.IT]Hybrid Beamforming and Combining for Millimeter Wave Full Duplex Massive MIMO Interference Channel
    • [cs.IT]Node repair on connected graphs
    • [cs.IT]On the Success Probability of Three Detectors for the Box-Constrained Integer Linear Model
    • [cs.IT]Performance Analysis of a Two-Hop Relaying LoRa System
    • [cs.IT]Several classes of bent functions over finite fields
    • [cs.IT]Simple Framework of ZF Precoding Analysis for Full-Dimensional Massive MIMO Systems
    • [cs.IT]Three-Dimensional Trajectory Design for Multi-User MISO UAV Communications: A Deep Reinforcement Learning Approach
    • [cs.IT]Tree-Algorithms with Multi-Packet Reception and Successive Interference Cancellation
    • [cs.LG]A Decentralized Federated Learning Framework via Committee Mechanism with Convergence Guarantee
    • [cs.LG]A Framework for Multi-View Classification of Features
    • [cs.LG]A Hybrid Ensemble Feature Selection Design for Candidate Biomarkers Discovery from Transcriptome Profiles
    • [cs.LG]A Plant Root System Algorithm Based on Swarm Intelligence for One-dimensional Biomedical Signal Feature Engineering
    • [cs.LG]A Survey of Human-in-the-loop for Machine Learning
    • [cs.LG]A survey of Monte Carlo methods for noisy and costly densities with application to reinforcement learning
    • [cs.LG]Active Learning in Gaussian Process State Space Model
    • [cs.LG]Adaptive t-Momentum-based Optimization for Unknown Ratio of Outliers in Amateur Data in Imitation Learning
    • [cs.LG]Adversarial Attacks Against Deep Reinforcement Learning Framework in Internet of Vehicles
    • [cs.LG]Automated Pest Detection with DNN on the Edge for Precision Agriculture
    • [cs.LG]Bayesian analysis of the prevalence bias: learning and predicting from imbalanced data
    • [cs.LG]Bilevel Optimization for Machine Learning: Algorithm Design and Convergence Analysis
    • [cs.LG]BoA-PTA, A Bayesian Optimization Accelerated Error-Free SPICE Solver
    • [cs.LG]Bucketed PCA Neural Networks with Neurons Mirroring Signals
    • [cs.LG]CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms
    • [cs.LG]Certified Defense via Latent Space Randomized Smoothing with Orthogonal Encoders
    • [cs.LG]Cold Start Similar Artists Ranking with Gravity-Inspired Graph Autoencoders
    • [cs.LG]Conditional Bures Metric for Domain Adaptation
    • [cs.LG]Data-driven model for hydraulic fracturing design optimization. Part II: Inverse problem
    • [cs.LG]Debiasing Samples from Online Learning Using Bootstrap
    • [cs.LG]DeepTrack: Lightweight Deep Learning for Vehicle Path Prediction in Highways
    • [cs.LG]Domain Adaptation for Autoencoder-Based End-to-End Communication Over Wireless Channels
    • [cs.LG]Evaluating Deep Graph Neural Networks
    • [cs.LG]Evaluating Federated Learning for Intrusion Detection in Internet of Things: Review and Challenges
    • [cs.LG]Exact Pareto Optimal Search for Multi-Task Learning: Touring the Pareto Front
    • [cs.LG]Fair Representation Learning using Interpolation Enabled Disentanglement
    • [cs.LG]Faster Rates of Differentially Private Stochastic Convex Optimization
    • [cs.LG]Few-shot calibration of low-cost air pollution (PM2.5) sensors using meta-learning
    • [cs.LG]Foundations of data imbalance and solutions for a data democracy
    • [cs.LG]Freezing Sub-Models During Incremental Process Discovery: Extended Version
    • [cs.LG]Gates are not what you need in RNNs
    • [cs.LG]Grain: Improving Data Efficiency of Graph Neural Networks via Diversified Influence Maximization
    • [cs.LG]IPOF: An Extremely and Excitingly Simple Outlier Detection Booster via Infinite Propagation
    • [cs.LG]Information Stealing in Federated Learning Systems Based on Generative Adversarial Networks
    • [cs.LG]Inverse Reinforcement Learning for Strategy Identification
    • [cs.LG]Learning to Control Direct Current Motor for Steering in Real Time via Reinforcement Learning
    • [cs.LG]Learning to Learn to Demodulate with Uncertainty Quantification via Bayesian Meta-Learning
    • [cs.LG]Learning who is in the market from time series: market participant discovery through adversarial calibration of multi-agent simulators
    • [cs.LG]Learning with Noisy Labels via Sparse Regularization
    • [cs.LG]Masking Neural Networks Using Reachability Graphs to Predict Process Events
    • [cs.LG]Multivariate Time Series Imputation by Graph Neural Networks
    • [cs.LG]PSA-GAN: Progressive Self Attention GANs for Synthetic Time Series
    • [cs.LG]Personalized Stress Monitoring using Wearable Sensors in Everyday Settings
    • [cs.LG]Piecewise Linear Units Improve Deep Neural Networks
    • [cs.LG]Rethinking gradient sparsification as total error minimization
    • [cs.LG]SPEAR : Semi-supervised Data Programming in Python
    • [cs.LG]Sequoia: A Software Framework to Unify Continual Learning Research
    • [cs.LG]Soft Calibration Objectives for Neural Networks
    • [cs.LG]Tensor-Train Density Estimation
    • [cs.LG]The Separation Capacity of Random Neural Networks
    • [cs.LG]Transformer-based Map Matching with Model Limited Ground-Truth Data using Transfer-Learning Approach
    • [cs.MM]Speech2AffectiveGestures: Synthesizing Co-Speech Gestures with Generative Adversarial Affective Expression Learning
    • [cs.NE]Computational Hierarchy of Elementary Cellular Automata
    • [cs.NE]Formation of cell assemblies with iterative winners-take-all computation and excitation-inhibition balance
    • [cs.NE]SignalGP-Lite: Event Driven Genetic Programming Library for Large-Scale Artificial Life Applications
    • [cs.NI]Efficient On-Chip Multicast Routing based on Dynamic Partition Merging
    • [cs.RO]”Robot Steganography”?: Opportunities and Challenges
    • [cs.RO]3D Reactive Control and Frontier-Based Exploration for Unstructured Environments
    • [cs.RO]Agent-aware State Estimation in Autonomous Vehicles
    • [cs.RO]An Efficient Image-to-Image Translation HourGlass-based Architecture for Object Pushing Policy Learning
    • [cs.RO]Co-Design of Assistive Robotics with Additive Manufacturing and Cyber-Physical Modularity to Improve Trust
    • [cs.RO]Desperate Times Call for Desperate Measures: Towards Risk-Adaptive Task Allocation
    • [cs.RO]Improving Grasp Stability with Rotation Measurement from Tactile Sensing
    • [cs.RO]Learning Embeddings that Capture Spatial Semantics for Indoor Navigation
    • [cs.RO]Majorization Minimization Methods for Distributed Pose Graph Optimization
    • [cs.RO]Motion Planning for Variable Topology Trusses: Reconfiguration and Locomotion
    • [cs.RO]Multi-Objective Path-Based D* Lite
    • [cs.RO]Multi-objective Conflict-based Search Using Safe-interval Path Planning
    • [cs.RO]Neuromechanical model-based control of bi-lateral ankle exoskeletons: biological joint torque and electromyogram reduction across walking conditions
    • [cs.RO]Non-linear stiffness modeling of multi-link compliant serial manipulator composed of multiple tensegrity segments
    • [cs.RO]Online Spatio-temporal Calibration of Tightly-coupled Ultrawideband-aided Inertial Localization
    • [cs.RO]Orientation-Aware Planning for Parallel Task Execution of Omni-Directional Mobile Robot
    • [cs.RO]Penalty-based Numerical Representation of Rigid Body Interactions with Applications to Simulation of Robotic Grasping
    • [cs.RO]Planning of Power Grasps Using Infinite Program Under Complementary Constraints
    • [cs.RO]Powerline Tracking with Event Cameras
    • [cs.RO]Rapidly-Exploring Random Graph Next-Best View Exploration for Ground Vehicles
    • [cs.RO]Redundancy Resolution in Kinematic Control of Serial Manipulators in Multi-Obstacle Environment
    • [cs.RO]Risk Averse Bayesian Reward Learning for Autonomous Navigation from Human Demonstration
    • [cs.RO]Self-Supervised Disentangled Representation Learning for Third-Person Imitation Learning
    • [cs.RO]Semantic-aware plant traversability estimation in plant-rich environments for agricultural mobile robots
    • [cs.RO]Shared-Control Teleoperation Paradigms on a Soft Growing Robot Manipulator
    • [cs.RO]Transformer-based deep imitation learning for dual-arm robot manipulation
    • [cs.SD]Musical Speech: A Transformer-based Composition Tool
    • [cs.SE]AI Techniques for Software Requirements Prioritization
    • [cs.SE]Cloud Native Privacy Engineering through DevPrivOps
    • [cs.SI]Charting closed-loop collective cultural decisions: From book best sellers and music downloads to Twitter hashtags and Reddit comments
    • [cs.SI]Structure Amplification on Multi-layer Stochastic Block Models
    • [cs.SI]You too Brutus! Trapping Hateful Users in Social Media: Challenges, Solutions & Insights
    • [eess.IV]Bespoke Fractal Sampling Patterns for Discrete Fourier Space via the Kaleidoscope Transform
    • [eess.IV]Cohort Bias Adaptation in Aggregated Datasets for Lesion Segmentation
    • [eess.IV]Multi-phase Liver Tumor Segmentation with Spatial Aggregation and Uncertain Region Inpainting
    • [eess.IV]Projective Skip-Connections for Segmentation Along a Subset of Dimensions in Retinal OCT
    • [eess.IV]Style Curriculum Learning for Robust Medical Image Segmentation
    • [eess.IV]Subjective Image Quality Assessment with Boosted Triplet Comparisons
    • [eess.IV]Thermal Image Super-Resolution Using Second-Order Channel Attention with Varying Receptive Fields
    • [eess.SP]CNN based Channel Estimation using NOMA for mmWave Massive MIMO System
    • [eess.SP]Data-driven Clustering in Ad-hoc Networks based on Community Detection
    • [eess.SP]Local Diversity and Ultra-Reliable Antenna Arrays
    • [eess.SP]The Portiloop: a deep learning-based open science tool for closed-loop brain stimulation
    • [eess.SY]2-D Directed Formation Control Based on Bipolar Coordinates
    • [eess.SY]Synthetic Active Distribution System Generation via Unbalanced Graph Generative Adversarial Network
    • [eess.SY]UAV Trajectory Planning in Wireless Sensor Networks for Energy Consumption Minimization by Deep Reinforcement Learning
    • [math.DG]Tensor completion using geodesics on Segre manifolds
    • [math.OC]Multiplicative updates for symmetric-cone factorizations
    • [math.OC]Prescribing net demand for electricity market clearing
    • [math.OC]Zeroth-Order Alternating Randomized Gradient Projection Algorithms for General Nonconvex-Concave Minimax Problems
    • [math.PR]Asymptotic bias of inexact Markov Chain Monte Carlo methods in high dimension
    • [math.PR]The restrictiveness of the hazard rate order and the moments of the maximal coordinate of a random vector uniformly distributed on the probability n-simplex
    • [math.ST]Convergence rates of deep ReLU networks for multiclass classification
    • [math.ST]Functional estimation in log-concave location families
    • [math.ST]Generalization bounds for nonparametric regression with 今日学术视野(2021.8.4) - 图4mixing samples
    • [math.ST]Neuronal Network Inference and Membrane Potential Model using Multivariate Hawkes Processes
    • [physics.chem-ph]Statistical learning method for predicting density-matrix based electron dynamics
    • [physics.flu-dyn]Data Driven Macroscopic Modeling across Knudsen Numbers for Rarefied Gas Dynamics and Application to Rayleigh Scattering
    • [physics.soc-ph]Citations or dollars? Early signals of a firm’s research success
    • [physics.soc-ph]Cooperation dynamics under pandemic risks and heterogeneous economic interdependence
    • [physics.soc-ph]Rationality and Reciprocity of Opinion Dynamics in Games
    • [physics.soc-ph]The Aging Effect in Evolving Scientific Citation Networks
    • [q-bio.NC]How Morphological Computation shapes Integrated Information in Embodied Agents
    • [q-bio.QM]The CirCor DigiScope Dataset: From Murmur Detection to Murmur Classification
    • [q-fin.CP]Realised Volatility Forecasting: Machine Learning via Financial Word Embedding
    • [quant-ph]Ab-initio experimental violation of Bell inequalities
    • [quant-ph]Fluctuation and dissipation in memoryless open quantum evolutions
    • [quant-ph]Large-scale quantum machine learning
    • [stat.AP]Assignment of a Synthetic Population for Activity-based Modelling employing Publicly Available Data
    • [stat.AP]Causal Inference in Educational Systems: A Graphical Modeling Approach
    • [stat.AP]Optimizing Cost per Click for Digital Advertising Campaigns
    • [stat.AP]Projection scrubbing: a more effective, data-driven fMRI denoising method
    • [stat.AP]Statistical Learning in Preclinical Drug Proarrhythmic Assessment
    • [stat.AP]ricu: R’s Interface to Intensive Care Data
    • [stat.ME]A New Bayesian Optimization Algorithm for Complex High-Dimensional Disease Epidemic Systems
    • [stat.ME]A graphical Gaussian process model for multi-fidelity emulation of expensive computer codes
    • [stat.ME]A new blocks estimator for the extremal index
    • [stat.ME]A new goodness of fit test for gamma distribution with censored observations
    • [stat.ME]Bayesian Sample Size Calculations for SMART Studies
    • [stat.ME]Estimation and visualization of treatment effects for multiple outcomes
    • [stat.ME]Functional clustering via multivariate clustering
    • [stat.ME]Sequential Multivariate Change Detection with Calibrated and Memoryless False Detection Rates
    • [stat.ME]The Bias-Variance Tradeoff of Doubly Robust Estimator with Targeted 今日学术视野(2021.8.4) - 图5 regularized Neural Networks Predictions
    • [stat.ME]To adjust or not to adjust? Estimating the average treatment effect in randomized experiments with missing covariates
    • [stat.ME]Two-sample goodness-of-fit tests on the flat torus based on Wasserstein distance and their relevance to structural biology
    • [stat.ML]A Random Matrix Perspective on Random Tensors
    • [stat.ML]Generalization Properties of Stochastic Optimizers via Trajectory Analysis
    • [stat.ML]Provably Efficient Lottery Ticket Discovery
    • [stat.ML]Pure Exploration and Regret Minimization in Matching Bandits

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

    • [cond-mat.stat-mech]Fundamental Advantage of Feedback Control Caused by Dissipation of Internal Correlations
    Akihito Sudo
    http://arxiv.org/abs/2108.00738v1

    • [cs.AI]Constrained Shortest Path Search with Graph Convolutional Neural Networks
    Kevin Osanlou, Christophe Guettier, Andrei Bursuc, Tristan Cazenave, Eric Jacopin
    http://arxiv.org/abs/2108.00978v1

    • [cs.AI]Cybonto: Towards Human Cognitive Digital Twins for Cybersecurity
    Tam N. Nguyen
    http://arxiv.org/abs/2108.00551v1

    • [cs.AI]Learning off-road maneuver plans for autonomous vehicles
    Kevin Osanlou
    http://arxiv.org/abs/2108.01021v1

    • [cs.AI]Machine Learning Constructives and Local Searches for the Travelling Salesman Problem
    Tommaso Vitali, Umberto Junior Mele, Luca Maria Gambardella, Roberto Montemanni
    http://arxiv.org/abs/2108.00938v1

    • [cs.AI]Optimal Solving of Constrained Path-Planning Problems with Graph Convolutional Networks and Optimized Tree Search
    Kevin Osanlou, Andrei Bursuc, Christophe Guettier, Tristan Cazenave, Eric Jacopin
    http://arxiv.org/abs/2108.01036v1

    • [cs.AI]Planning with Learned Binarized Neural Networks Benchmarks for MaxSAT Evaluation 2021
    Buser Say, Scott Sanner, Jo Devriendt, Jakob Nordström, Peter J. Stuckey
    http://arxiv.org/abs/2108.00633v1

    • [cs.AI]Procedural Generation of 3D Maps with Snappable Meshes
    Rafael C. e Silva, Nuno Fachada, Diogo de Andrade, Nélio Códices
    http://arxiv.org/abs/2108.00056v1

    • [cs.AI]RLTutor: Reinforcement Learning Based Adaptive Tutoring System by Modeling Virtual Student with Fewer Interactions
    Yoshiki Kubotani, Yoshihiro Fukuhara, Shigeo Morishima
    http://arxiv.org/abs/2108.00268v1

    • [cs.AI]Time-based Dynamic Controllability of Disjunctive Temporal Networks with Uncertainty: A Tree Search Approach with Graph Neural Network Guidance
    Kevin Osanlou, Jeremy Frank, J. Benton, Andrei Bursuc, Christophe Guettier, Eric Jacopin, Tristan Cazenave
    http://arxiv.org/abs/2108.01068v1

    • [cs.AI]Unlimited Neighborhood Interaction for Heterogeneous Trajectory Prediction
    Fang Zheng, Le Wang, Sanping Zhou, Wei Tang, Zhenxing Niu, Nanning Zheng, Gang Hua
    http://arxiv.org/abs/2108.00238v1

    • [cs.AR]Accelerating Markov Random Field Inference with Uncertainty Quantification
    Ramin Bashizade, Xiangyu Zhang, Sayan Mukherjee, Alvin R. Lebeck
    http://arxiv.org/abs/2108.00570v1

    • [cs.AR]RFC-HyPGCN: A Runtime Sparse Feature Compress Accelerator for Skeleton-Based GCNs Action Recognition Model with Hybrid Pruning
    Dong Wen, Jingfei Jiang, Jinwei Xu, Kang Wang, Tao Xiao, Yang Zhao, Yong Dou
    http://arxiv.org/abs/2108.01020v1

    • [cs.CL]A Psychologically Informed Part-of-Speech Analysis of Depression in Social Media
    Ana-Maria Bucur, Ioana R. Podină, Liviu P. Dinu
    http://arxiv.org/abs/2108.00279v1

    • [cs.CL]Attention-based Aspect Reasoning for Knowledge Base Question Answering on Clinical Notes
    Ping Wang, Tian Shi, Khushbu Agarwal, Sutanay Choudhury, Chandan K. Reddy
    http://arxiv.org/abs/2108.00513v1

    • [cs.CL]Changes in European Solidarity Before and During COVID-19: Evidence from a Large Crowd- and Expert-Annotated Twitter Dataset
    Alexandra Ils, Dan Liu, Daniela Grunow, Steffen Eger
    http://arxiv.org/abs/2108.01042v1

    • [cs.CL]ChrEnTranslate: Cherokee-English Machine Translation Demo with Quality Estimation and Corrective Feedback
    Shiyue Zhang, Benjamin Frey, Mohit Bansal
    http://arxiv.org/abs/2107.14800v2

    • [cs.CL]ConveRT, an Application to FAQ Answering
    Maxime De Bruyn, Ehsan Lotfi, Jeska Buhmann, Walter Daelemans
    http://arxiv.org/abs/2108.00719v1

    • [cs.CL]DECAF: Deep Extreme Classification with Label Features
    Anshul Mittal, Kunal Dahiya, Sheshansh Agrawal, Deepak Saini, Sumeet Agarwal, Purushottam Kar, Manik Varma
    http://arxiv.org/abs/2108.00368v1

    • [cs.CL]Diverse Linguistic Features for Assessing Reading Difficulty of Educational Filipino Texts
    Joseph Marvin Imperial, Ethel Ong
    http://arxiv.org/abs/2108.00241v1

    • [cs.CL]ECLARE: Extreme Classification with Label Graph Correlations
    Anshul Mittal, Noveen Sachdeva, Sheshansh Agrawal, Sumeet Agarwal, Purushottam Kar, Manik Varma
    http://arxiv.org/abs/2108.00261v1

    • [cs.CL]Enhancing Content Preservation in Text Style Transfer Using Reverse Attention and Conditional Layer Normalization
    Dongkyu Lee, Zhiliang Tian, Lanqing Xue, Nevin L. Zhang
    http://arxiv.org/abs/
    1000
    /2108.00449v1
    1000
    /2108.00449v1)

    • [cs.CL]Enhancing Content Preservation in Text Style Transfer Using Reverse Attention and Conditional Layer Normalization
    Dongkyu Lee, Zhiliang Tian, Lanqing Xue, Nevin L. Zhang
    http://arxiv.org/abs/2108.00449v1

    • [cs.CL]From LSAT: The Progress and Challenges of Complex Reasoning
    Siyuan Wang, Zhongkun Liu, Wanjun Zhong, Ming Zhou, Zhongyu Wei, Zhumin Chen, Nan Duan
    http://arxiv.org/abs/2108.00648v1

    • [cs.CL]Geolocation differences of language use in urban areas
    Olga Kellert, Nicholas H. Matlis
    http://arxiv.org/abs/2108.00533v1

    • [cs.CL]Human Evaluation of Creative NLG Systems: An Interdisciplinary Survey on Recent Papers
    Mika Hämäläinen, Khalid Alnajjar
    http://arxiv.org/abs/2108.00308v1

    • [cs.CL]Improving Social Meaning Detection with Pragmatic Masking and Surrogate Fine-Tuning
    Chiyu Zhang, Muhammad Abdul-Mageed, AbdelRahim Elmadany, El Moatez Billah Nagoudi
    http://arxiv.org/abs/2108.00356v1

    • [cs.CL]Is My Model Using The Right Evidence? Systematic Probes for Examining Evidence-Based Tabular Reasoning
    Vivek Gupta, Riyaz A. Bhat, Atreya Ghosal, Manish Srivastava, Maneesh Singh, Vivek Srikumar
    http://arxiv.org/abs/2108.00578v1

    • [cs.CL]LICHEE: Improving Language Model Pre-training with Multi-grained Tokenization
    Weidong Guo, Mingjun Zhao, Lusheng Zhang, Di Niu, Jinwen Luo, Zhenhua Liu, Zhenyang Li, Jianbo Tang
    http://arxiv.org/abs/2108.00801v1

    • [cs.CL]Learning to Look Inside: Augmenting Token-Based Encoders with Character-Level Information
    Yuval Pinter, Amanda Stent, Mark D
    1000
    redze, Jacob Eisenstein
    http://arxiv.org/abs/2108.00391v1

    • [cs.CL]Logic-Consistency Text Generation from Semantic Parses
    Chang Shu, Yusen Zhang, Xiangyu Dong, Peng Shi, Tao Yu, Rui Zhang
    http://arxiv.org/abs/2108.00577v1

    • [cs.CL]MTVR: Multilingual Moment Retrieval in Videos
    Jie Lei, Tamara L. Berg, Mohit Bansal
    http://arxiv.org/abs/2108.00061v1

    • [cs.CL]MuSiQue: Multi-hop Questions via Single-hop Question Composition
    Harsh Trivedi, Niranjan Balasubramanian, Tushar Khot, Ashish Sabharwal
    http://arxiv.org/abs/2108.00573v1

    • [cs.CL]Opinion Prediction with User Fingerprinting
    Kishore Tumarada, Yifan Zhang, Dr. Fan Yang, Dr. Eduard Dragut, Dr. Omprakash Gnawali, Dr. Arjun Mukherjee
    http://arxiv.org/abs/2108.00270v1

    • [cs.CL]Relation Aware Semi-autoregressive Semantic Parsing for NL2SQL
    Junyang Huang, Yongbo Wang, Yongliang Wang, Yang Dong, Yanghua Xiao
    http://arxiv.org/abs/2108.00804v1

    • [cs.CL]Structural Guidance for Transformer Language Models
    Peng Qian, Tahira Naseem, Roger Levy, Ramón Fernandez Astudillo
    http://arxiv.org/abs/2108.00104v1

    • [cs.CL]TabPert: An Effective Platform for Tabular Perturbation
    Nupur Jain, Vivek Gupta, Anshul Rai, Gaurav Kumar
    http://arxiv.org/abs/2108.00603v1

    • [cs.CL]Towards Continual Entity Learning in Language Models for Conversational Agents
    Ravi Teja Gadde, Ivan Bulyko
    http://arxiv.org/abs/2108.00082v1

    • [cs.CL]Transfer Learning for Mining Feature Requests and Bug Reports from Tweets and App Store Reviews
    Pablo Restrepo Henao, Jannik Fischbach, Dominik Spies, Julian Frattini, Andreas Vogelsang
    http://arxiv.org/abs/2108.00663v1

    • [cs.CL]Transformer-Encoder-GRU (T-E-GRU) for Chinese Sentiment Analysis on Chinese Comment Text
    Binlong Zhang, Wei Zhou
    http://arxiv.org/abs/2108.00400v1

    • [cs.CL]Using Knowledge-Embedded Attention to Augment Pre-trained Language Models for Fine-Grained Emotion Recognition
    Varsha Suresh, Desmond C. Ong
    http://arxiv.org/abs/2108.00194v1

    • [cs.CL]WLV-RIT at GermEval 2021: Multitask Learning with Transformers to Detect Toxic, Engaging, and Fact-Claiming Comments
    Skye Morgan, Tharindu Ranasinghe, Marcos Zampieri
    http://arxiv.org/abs/2108.00057v1

    • [cs.CR]BadEncoder: Backdoor Attacks to Pre-trained Encoders in Self-Supervised Learning
    Jinyuan Jia, Yupei Liu, Neil Zhenqiang Gong
    http://arxiv.org/abs/2108.00352v1

    • [cs.CR]On the Privacy of National Contact Tracing COVID-19 Applications: The Coronavírus-SUS Case
    Jéferson Campos Nobre, Laura Rodrigues Soares, Briggette Olenka Roman Huaytalla, Elvandi da Silva Júnior, Lisandro Zambenedetti Granville
    http://arxiv.org/abs/2108.00921v1

    • [cs.CR]Privacy-Aware Rejection Sampling
    Jordan Awan, Vinayak Rao
    http://arxiv.org/abs/2108.00965v1

    • [cs.CR]Private Retrieval, Computing and Learning: Recent Progress and Future Challenges
    Sennur Ulukus, Salman Avestimehr, Michael Gastpar, Syed Jafar, Ravi Tandon, Chao Tian
    http://arxiv.org/abs/2108.00026v1

    • [cs.CR]Towards Making Deep Learning-based Vulnerability Detectors Robust
    Zhen Li, Jing Tang, Deqing Zou, Qian Chen, Shouhuai Xu, Chao Zhang, Yichen Li, Hai Jin
    http://arxiv.org/abs/2108.00669v1

    • [cs.CV]A Dynamic 3D Spontaneous Micro-expression Database: Establishment and Evaluation
    Fengping Wang, Jie Li, Chun Qi, Yun Zhang, Danmin Miao
    http://arxiv.org/abs/2108.00166v1

    • [cs.CV]A New Semi-supervised Learning Benchmark for Classifying View and Diagnosing Aortic Stenosis from Echocardiograms
    Zhe Huang, Gary Long, Benjamin Wessler, Michael C. Hughes
    http://arxiv.org/abs/2108.00080v1

    • [cs.CV]Active Perception for Ambiguous Objects Classification
    Evgenii Safronov, Nicola Piga, Michele Colledanchise, Lorenzo Natale
    http://arxiv.org/abs/2108.00737v1

    • [cs.CV]An Applied Deep Learning Approach for Estimating Soybean Relative Maturity from UAV Imagery to Aid Plant Breeding Decisions
    Saba Moeinizade, Hieu Pham, Ye Han, Austin Dobbels, Guiping Hu
    http://arxiv.org/abs/2108.00952v1

    • [cs.CV]An Effective and Robust Detector for Logo Detection
    Xiaojun Jia, Huanqian Yan, Yonglin Wu, Xingxing Wei, Xiaochun Cao, Yong Zhang
    http://arxiv.org/abs/2108.00422v1

    • [cs.CV]Angle Based Feature Learning in GNN for 3D Object Detection using Point Cloud
    Md Afzal Ansari, Md Meraz, Pavan Chakraborty, Mohammed Javed
    http://arxiv.org/abs/2108.00780v1

    • [cs.CV]Applications of Artificial Neural Networks in Microorganism Image Analysis: A Comprehensive Review from Conventional Multilayer Perceptron to Popular Convolutional Neural Network and Potential Visual Transformer
    Jinghua Zhang, Chen Li, Marcin Grzegorzek
    http://arxiv.org/abs/2108.00358v1

    • [cs.CV]BORM: Bayesian Object Relation Model for Indoor Scene Recognition
    Liguang Zhou, Jun Cen, Xingchao Wang, Zhenglong Sun, Tin Lun Lam, Yangsheng Xu
    http://arxiv.org/abs/2108.00397v1

    • [cs.CV]BezierSeg: Parametric Shape Representation for Fast Object Segmentation in Medical Images
    Haichou Chen, Yishu Deng, Bin Li, Zeqin Li, Haohua Chen, Bingzhong Jing, Chaofeng Li
    http://arxiv.org/abs/2108.00760v1

    • [cs.CV]BundleTrack: 6D Pose Tracking for Novel Objects without Instance or Category-Level 3D Models
    Bowen Wen, Kostas Bekris
    http://arxiv.org/abs/2108.00516v1

    • [cs.CV]CERL: A Unified Optimization Framework for Light Enhancement with Realistic Noise
    Zeyuan Chen, Yifan Jiang, Dong Liu, Zhangyang Wang
    http://arxiv.org/abs/2108.00478v1

    • [cs.CV]CSC-Unet: A Novel Convolutional Sparse Coding Strategy based Neural Network for Semantic Segmentation
    Haitong Tang, Shuang He, Xia Lu, Qin Yu, Kaiyue Liu, Hongjie Yan, Nizhuan Wang
    http://arxiv.org/abs/2108.00408v1

    • [cs.CV]Chest ImaGenome Dataset for Clinical Reasoning
    Joy T. Wu, Nkechinyere N. Agu, Ismini Lourentzou, Arjun Sharma, Joseph A. Paguio, Jasper S. Yao, Edward C. Dee, William Mitchell, Satyananda Kashyap, Andrea Giovannini, Leo A. Celi, Mehdi Moradi
    http://arxiv.org/abs/2108.00316v1

    • [cs.CV]Comparing object recognition in humans and deep convolutional neural networks — An eye tracking study
    Leonard E. van Dyck, Roland Kwitt, Sebastian J. Denzler, Walter R. Gruber
    http://arxiv.org/abs/2108.00107v1

    • [cs.CV]Constrained Graphic Layout Generation via Latent Optimization
    Kotaro Kikuchi, Edgar Simo-Serra, Mayu Otani, Kota Yamaguchi
    http://arxiv.org/abs/2108.00871v1

    • [cs.CV]CrossFormer: A Versatile Vision Transformer Based on Cross-scale Attention
    Wenxiao Wang, Lu Yao, Long Chen, Deng Cai, Xiaofei He, Wei Liu
    http://arxiv.org/abs/2108.00154v1

    • [cs.CV]Deep Feature Tracker: A Novel Application for Deep Convolutional Neural Networks
    Mostafa Parchami, Saif Iftekar Sayed
    http://arxiv.org/abs/2108.00105v1

    • [cs.CV]Deep graph matching meets mixed-integer linear programming: Relax at your own risk ?
    Zhoubo Xu, Puqing Chen, Romain Raveaux, Xin Yang, Huadong Liu
    http://arxiv.org/abs/2108.00394v1

    • [cs.CV]Delving into Deep Image Prior for Adversarial Defense: A Novel Reconstruction-based Defense Framework
    Li Ding, Yongwei Wang, Xin Ding, Kaiwen Yuan, Ping Wang, Hua Huang, Z. Jane Wang
    http://arxiv.org/abs/2108.00180v1

    • [cs.CV]Developing a Compressed Object Detection Model based on YOLOv4 for Deployment on Embedded GPU Platform of Autonomous System
    Issac Sim, Ju-Hyung Lim, Young-Wan Jang, JiHwan You, SeonTaek Oh, Young-Keun Kim
    http://arxiv.org/abs/2108.00392v1

    • [cs.CV]Discovering “Semantics” in Super-Resolution Networks
    Yihao Liu, Anran Liu, Jinjin Gu, Zhipeng Zhang, Wenhao Wu, Yu Qiao, Chao Dong
    http://arxiv.org/abs/2108.00406v1

    • [cs.CV]Distributed Attention for Grounded Image Captioning
    Nenglun Chen, Xingjia Pan, Runnan Chen, Lei Yang, Zhiwen Lin, Yuqiang Ren, Haolei Yuan, Xiaowei Guo, Feiyue Huang, Wenping Wang
    http://arxiv.org/abs/2108.01056v1

    • [cs.CV]ELLIPSDF: Joint Object Pose and Shape Optimization with a Bi-level Ellipsoid and Signed Distance Function Description
    Mo Shan, Qiaojun Feng, You-Yi Jau, Nikolay Atanasov
    http://arxiv.org/abs/2108.00355v1

    • [cs.CV]Edge-competing Pathological Liver Vessel Segmentation with Limited Labels
    Zunlei Feng, Zhonghua Wang, Xinchao Wang, Xiuming Zhang, Lechao Cheng, Jie Lei, Yuexuan Wang, Mingli Song
    http://arxiv.org/abs/2108.00384v1

    • [cs.CV]Efficient Deep Feature Calibration for Cross-Modal Joint Embedding Learning
    Zhongwei Xie, Ling Liu, Lin Li, Luo Zhong
    http://arxiv.org/abs/2108.00705v1

    • [cs.CV]Explainable Deep Few-shot Anomaly Detection with Deviation Networks
    Guansong Pang, Choubo Ding, Chunhua Shen, Anton van den Hengel
    http://arxiv.org/abs/2108.00462v1

    • [cs.CV]FLASH: Fast Neural Architecture Search with Hardware Optimization
    Guihong Li, Sumit K. Mandal, Umit Y. Ogras, Radu Marculescu
    http://arxiv.org/abs/2108.00568v1

    • [cs.CV]Finding Discriminative Filters for Specific Degradations in Blind Super-Resolution
    Liangbin Xie, Xintao Wang, Chao Dong, Zhongang Qi, Ying Shan
    http://arxiv.org/abs/2108.01070v1

    • [cs.CV]Flip Learning: Erase to Segment
    Yuhao Huang, Xin Yang, Yuxin Zou, Chaoyu Chen, Jian Wang, Haoran Dou, Nishant Ravikumar, Alejandro F Frangi, Jianqiao Zhou, Dong Ni
    http://arxiv.org/abs/2108.00752v1

    • [cs.CV]Forward-Looking Sonar Patch Matching: Modern CNNs, Ensembling, and Uncertainty
    Arka Mallick, Paul Plöger, Matias Valdenegro-Toro
    http://arxiv.org/abs/2108.01066v1

    • [cs.CV]GTNet:Guided Transformer Network for Detecting Human-Object Interactions
    A S M Iftekhar, Satish Kumar, R. Austin McEver, Suya You, B. S. Manjunath
    http://arxiv.org/abs/2108.00596v1

    • [cs.CV]GraphFPN: Graph Feature Pyramid Network for Object Detection
    Gangming Zhao, Weifeng Ge, Yizhou Yu
    http://arxiv.org/abs/2108.00580v1

    • [cs.CV]Greedy Network Enlarging
    Chuanjian Liu, Kai Han, An Xiao, Yiping Deng, Wei Zhang, Chunjing Xu, Yunhe Wang
    http://arxiv.org/abs/2108.00177v1

    • [cs.CV]Group Fisher Pruning for Practical Network Compression
    Liyang Liu, Shilong Zhang, Zhanghui Kuang, Aojun Zhou, Jing-Hao Xue, Xinjiang Wang, Yimin Chen, Wenming Yang, Qingmin Liao, Wayne Zhang
    http://arxiv.org/abs/2108.00708v1

    • [cs.CV]HR-Crime: Human-Related Anomaly Detection in Surveillance Videos
    Kayleigh Boekhoudt, Alina Matei, Maya Aghaei, Estefanía Talavera
    http://arxiv.org/abs/2108.00246v1

    • [cs.CV]HiFT: Hierarchical Feature Transformer for Aerial Tracking
    Ziang Cao, Changhong Fu, Junjie Ye, Bowen Li, Yiming Li
    http://arxiv.org/abs/2108.00202v1

    • [cs.CV]Hyper360 — a Next Generation Toolset for Immersive Media
    Hannes Fassold, Antonis Karakottas, Dorothea Tsatsou, Dimitrios Zarpalas, Barnabas Takacs, Christian Fuhrhop, Angelo Manfredi, Nicolas Patz, Simona Tonoli, Iana Dulskaia
    http://arxiv.org/abs/2108.00430v1

    • [cs.CV]I2V-GAN: Unpaired Infrared-to-Visible Video Translation
    Shuang Li, Bingfeng Han, Zhenjie Yu, Chi Harold Liu, Kai Chen, Shuigen Wang
    http://arxiv.org/abs/2108.00913v1

    • [cs.CV]Investigating Attention Mechanism in 3D Point Cloud Object Detection
    Shi Qiu, Yunfan Wu, Saeed Anwar, Chongyi Li
    http://arxiv.org/abs/2108.00620v1

    • [cs.CV]Knowing When to Quit: Selective Cascaded Regression with Patch Attention for Real-Time Face Alignment
    Gil Shapira, Noga Levy, Ishay Goldin, Roy J. Jevnisek
    http://arxiv.org/abs/2108.00377v1

    • [cs.CV]LASOR: Learning Accurate 3D Human Pose and Shape Via Synthetic Occlusion-Aware Data and Neural Mesh Rendering
    Kaibing Yang, Renshu Gu, Masahiro Toyo
    1411
    ura, Gang Xu
    http://arxiv.org/abs/2108.00351v1

    • [cs.CV]LDDMM-Face: Large Deformation Diffeomorphic Metric Learning for Flexible and Consistent Face Alignment
    Huilin Yang, Junyan Lyu, Pujin Cheng, Xiaoying Tang
    http://arxiv.org/abs/2108.00690v1

    • [cs.CV]Learn to Match: Automatic Matching Network Design for Visual Tracking
    Zhipeng Zhang, Yihao Liu, Xiao Wang, Bing Li, Weiming Hu
    http://arxiv.org/abs/2108.00803v1

    • [cs.CV]Learning Few-shot Open-set Classifiers using Exemplar Reconstruction
    Sayak Nag, Dripta S. Raychaudhuri, Sujoy Paul, Amit K. Roy-Chowdhury
    http://arxiv.org/abs/2108.00340v1

    • [cs.CV]Learning Instance-level Spatial-Temporal Patterns for Person Re-identification
    Min Ren, Lingxiao He, Xingyu Liao, Wu Liu, Yunlong Wang, Tieniu Tan
    http://arxiv.org/abs/2108.00171v1

    • [cs.CV]Learning Maritime Obstacle Detection from Weak Annotations by Scaffolding
    Lojze Žust, Matej Kristan
    http://arxiv.org/abs/2108.00564v1

    • [cs.CV]Learning TFIDF Enhanced Joint Embedding for Recipe-Image Cross-Modal Retrieval Service
    Zhongwei Xie, Ling Liu, Yanzhao Wu, Lin Li, Luo Zhong
    http://arxiv.org/abs/2108.00724v1

    • [cs.CV]Manifold-Inspired Single Image Interpolation
    Lantao Yu, Kuida Liu, Michael T. Orchard
    http://arxiv.org/abs/2108.00145v1

    • [cs.CV]Margin-Aware Intra-Class Novelty Identification for Medical Images
    Xiaoyuan Guo, Judy Wawira Gichoya, Saptarshi Purkayastha, Imon Banerjee
    http://arxiv.org/abs/2108.00117v1

    • [cs.CV]Multi-scale Matching Networks for Semantic Correspondence
    Dongyang Zhao, Ziyang Song, Zhenghao Ji, Gangming Zhao, Weifeng Ge, Yizhou Yu
    http://arxiv.org/abs/2108.00211v1

    • [cs.CV]Multilevel Knowledge Transfer for Cross-Domain Object Detection
    Botos Csaba, Xiaojuan Qi, Arslan Chaudhry, Puneet Dokania, Philip Torr
    http://arxiv.org/abs/2108.00977v1

    • [cs.CV]Multimodal Feature Fusion for Video Advertisements Tagging Via Stacking Ensemble
    Qingsong Zhou, Hai Liang, Zhimin Lin, Kele Xu
    http://arxiv.org/abs/2108.00679v1

    • [cs.CV]Multiple Classifiers Based Maximum Classifier Discrepancy for Unsupervised Domain Adaptation
    Yiju Yang, Taejoon Kim, Guanghui Wang
    http://arxiv.org/abs/2108.00610v1

    • [cs.CV]Multiplex Graph Networks for Multimodal Brain Network Analysis
    Zhaoming Kong, Lichao Sun, Hao Peng, Liang Zhan, Yong Chen, Lifang He
    http://arxiv.org/abs/2108.00158v1

    • [cs.CV]My Eyes Are Up Here: Promoting Focus on Uncovered Regions in Masked Face Recognition
    Pedro C. Neto, Fadi Boutros, Mohsen Saffari, João Ribeiro Pinto, Naser Damer, Ana F. Sequeira, Jaime S. Cardoso
    http://arxiv.org/abs/2108.00996v1

    • [cs.CV]Neural Free-Viewpoint Performance Rendering under ComplexHuman-object Interactions
    Guoxing Sun, Xin Chen, Yizhang Chen, Anqi Pang, Pei Lin, Yuheng Jiang, Lan Xu, Jingya Wang, Jingyi Yu
    http://arxiv.org/abs/2108.00362v1

    • [cs.CV]Object-to-Scene: Learning to Transfer Object Knowledge to Indoor Scene Recognition
    Bo Miao, Liguang Zhou, Ajmal Mian, Tin Lun Lam, Yangsheng Xu
    http://arxiv.org/abs/2108.00399v1

    • [cs.CV]On The State of Data In Computer Vision: Human Annotations Remain Indispensable for Developing Deep Learning Models
    Zeyad Emam, Andrew Kondrich, Sasha Harrison, Felix Lau, Yushi Wang, Aerin Kim, Elliot Branson
    http://arxiv.org/abs/2108.00114v1

    • [cs.CV]PSE-Match: A Viewpoint-free Place Recognition Method with Parallel Semantic Embedding
    Peng Yin, Lingyun Xu, Anton Egorov, Bing Li
    http://arxiv.org/abs/2108.00552v1

    • [cs.CV]Pose-Guided Feature Learning with Knowledge Distillation for Occluded Person Re-Identification
    Kecheng Zheng, Cuiling Lan, Wenjun Zeng, Jiawei Liu, Zhizheng Zhang, Zheng-Jun Zha
    http://arxiv.org/abs/2108.00139v1

    • [cs.CV]PoseFusion2: Simultaneous Background Reconstruction and Human Shape Recovery in Real-time
    Huayan Zhang, Tianwei Zhang, Tin Lun Lam, Sethu Vijayakumar
    http://arxiv.org/abs/2108.00695v1

    • [cs.CV]Pro-UIGAN: Progressive Face Hallucination from Occluded Thumbnails
    Yang Zhang, Xin Yu, Xiaobo Lu, Ping Liu
    http://arxiv.org/abs/2108.00602v1

    • [cs.CV]RINDNet: Edge Detection for Discontinuity in Reflectance, Illumination, Normal and Depth
    Mengyang Pu, Yaping Huang, Qingji Guan, Haibin Ling
    http://arxiv.org/abs/2108.00616v1

    • [cs.CV]Recurrent Mask Refinement for Few-Shot Medical Image Segmentation
    Hao Tang, Xingwei Liu, Shanlin Sun, Xiangyi Yan, Xiaohui Xie
    http://arxiv.org/abs/2108.00622v1

    • [cs.CV]Reliable Semantic Segmentation with Superpixel-Mix
    Gianni Franchi, Nacim Belkhir, Mai Lan Ha, Yufei Hu, Andrei Bursuc, Volker Blanz, Angela Yao
    http://arxiv.org/abs/2108.00968v1

    • [cs.CV]S今日学术视野(2021.8.4) - 图6-MLPv2: Improved Spatial-Shift MLP Architecture for Vision
    Tan Yu, Xu Li, Yunfeng Cai, Mingming Sun, Ping Li
    http://arxiv.org/abs/2108.01072v1

    • [cs.CV]SDEdit: Image Synthesis and Editing with Stochastic Differential Equations
    Chenlin Meng, Yang Song, Jiaming Song, Jiajun Wu, Jun-Yan Zhu, Stefano Ermon
    http://arxiv.org/abs/2108.01073v1

    • [cs.CV]SSPU-Net: Self-Supervised Point Cloud Upsampling via Differentiable Rendering
    Yifan Zhao, Le Hui, Jin Xie
    http://arxiv.org/abs/2108.00454v1

    • [cs.CV]Scene Inference for Object Illumination Editing
    Zhongyun Bao, Chengjiang Long, Gang Fu, Daquan Liu, Yuanzhen Li, Jiaming Wu, Chunxia Xiao
    http://arxiv.org/abs/2108.00150v1

    • [cs.CV]Self Context and Shape Prior for Sensorless Freehand 3D Ultrasound Reconstruction
    Mingyuan Luo, Xin Yang, Xiaoqiong Huang, Yuhao Huang, Yuxin Zou, Xindi Hu, Nishant Ravikumar, Alejandro F Frangi, Dong Ni
    http://arxiv.org/abs/2108.00274v1

    • [cs.CV]Self-supervised Audiovisual Representation Learning for Remote Sensing Data
    Konrad Heidler, Lichao Mou, Di Hu, Pu Jin, Guangyao Li, Chuang Gan, Ji-Rong Wen, Xiao Xiang Zhu
    http://arxiv.org/abs/2108.00688v1

    • [cs.CV]Self-supervised Learning with Local Attention-Aware Feature
    Trung X. Pham, Rusty John Lloyd Mina, Dias Issa, Chang D. Yoo
    http://arxiv.org/abs/2108.00475v1

    • [cs.CV]Semi-Supervising Learning, Transfer Learning, and Knowledge Distillation with SimCLR
    Khoi Nguyen, Yen Nguyen, Bao Le
    http://arxiv.org/abs/2108.00587v1

    • [cs.CV]Shallow Attention Network for Polyp Segmentation
    Jun Wei, Yiwen Hu, Ruimao Zhang, Zhen Li, S. Kevin Zhou, Shuguang Cui
    http://arxiv.org/abs/2108.00882v1

    • [cs.CV]Shallow Feature Matters for Weakly Supervised Object Localization
    Jun Wei, Qin Wang, Zhen Li, Sheng Wang, S. Kevin Zhou, Shuguang Cui
    http://arxiv.org/abs/2108.00873v1

    • [cs.CV]StyleGAN-NADA: CLIP-Guided Domain Adaptation of Image Generators
    Rinon Gal, Or Patashnik, Haggai Maron, Gal Chechik, Daniel Cohen-Or
    http://arxiv.org/abs/2108.00946v1

    • [cs.CV]SyDog: A Synthetic Dog Dataset for Improved 2D Pose Estimation
    Moira Shooter, Charles Malleson, Adrian Hilton
    http://arxiv.org/abs/2108.00249v1

    • [cs.CV]T今日学术视野(2021.8.4) - 图7ML-AP: Adversarial Attacks to Top-今日学术视野(2021.8.4) - 图8 Multi-Label Learning
    Shu Hu, Lipeng Ke, Xin Wang, Siwei Lyu
    http://arxiv.org/abs/2108.00146v1

    • [cs.CV]Threat of Adversarial Attacks on Deep Learning in Computer Vision: Survey II
    Naveed Akhtar, Ajmal Mian, Navid Kardan, Mubarak Shah
    http://arxiv.org/abs/2108.00401v1

    • [cs.CV]Towards Adversarially Robust and Domain Generalizable Stereo Matching by Rethinking DNN Feature Backbones
    Kelvin Cheng, Christopher Healey, Tianfu Wu
    http://arxiv.org/abs/2108.00335v1

    • [cs.CV]Towards Robust Object Detection: Bayesian RetinaNet for Homoscedastic Aleatoric Uncertainty Modeling
    Natalia Khanzhina, Alexey Lapenok, Andrey Filchenkov
    http://arxiv.org/abs/2108.00784v1

    • [cs.CV]Towards explainable artificial intelligence (XAI) for early anticipation of traffic accidents
    Muhammad Monjurul Karim, Yu Li, Ruwen Qin
    http://arxiv.org/abs/2108.00273v1

    • [cs.CV]Training face verification models from generated face identity data
    Dennis Conway, Loic Simon, Alexis Lechervy, Frederic Jurie
    http://arxiv.org/abs/2108.00800v1

    • [cs.CV]Unsupervised Cross-Modal Distillation for Thermal Infrared Tracking
    Jingxian Sun, Lichao Zhang, Yufei Zha, Abel Gonzalez-Garcia, Peng Zhang, Wei Huang, Yanning Zhang
    http://arxiv.org/abs/2108.00187v1

    • [cs.CV]Visual Boundary Knowledge Translation for Foreground Segmentation
    Zunlei Feng, Lechao Cheng, Xinchao Wang, Xiang Wang, Yajie Liu, Xiangtong Du, Mingli Song
    http://arxiv.org/abs/2108.00379v1

    • [cs.CV]WAS-VTON: Warping Architecture Search for Virtual Try-on Network
    Zhenyu Xie, Xujie Zhang, Fuwei Zhao, Haoye Dong, Michael C. Kampffmeyer, Haonan Yan, Xiaodan Liang
    http://arxiv.org/abs/2108.00386v1

    • [cs.CV]Wood-leaf classification of tree point cloud based on intensity and geometrical information
    Jingqian Sun, Pei Wang, Zhiyong Gao, Zichu Liu, Yaxin Li, Xiaozheng Gan
    http://arxiv.org/abs/2108.01002v1

    • [cs.CV]Word2Pix: Word to Pixel Cross Attention Transformer in Visual Grounding
    Heng Zhao, Joey Tianyi Zhou, Yew-Soon Ong
    http://arxiv.org/abs/2108.00205v1

    • [cs.DB]Extending Sticky-Datalog+/- via Finite-Position SelectionFunctions: Tractability, Algorithms, and Optimization
    Leopoldo Bertossi, Mostafa Milani
    http://arxiv.org/abs/2108.00903v1

    • [cs.DC]BigGraphVis: Leveraging Streaming Algorithms and GPU Acceleration for Visualizing Big Graphs
    Ehsan Moradi, Debajyoti Mondal
    http://arxiv.org/abs/2108.00529v1

    • [cs.DC]Bringing AI pipelines onto cloud-HPC: setting a baseline for accuracy of COVID-19 AI diagnosis
    Iacopo Colonnelli, Barbara Cantalupo, Concetto Spampinato, Matteo Pennisi, Marco Aldinucci
    http://arxiv.org/abs/2108.01033v1

    • [cs.DC]Communication-Efficient Federated Learning via Predictive Coding
    Kai Yue, Richeng Jin, Chau-Wai Wong, Huaiyu Dai
    http://arxiv.org/abs/2108.00918v1

    • [cs.DC]Experimental Findings on the Sources of Detected Unrecoverable Errors in GPUs
    Fernando Fernandes dos Santos, Sujit Malde, Carlo Cazzaniga, Christopher Frost, Luigi Carro, Paolo Rech
    http://arxiv.org/abs/2108.00554v1

    • [cs.DC]Information Batteries: Storing Opportunity Power with Speculative Execution
    Jennifer Switzer, Barath Raghavan
    http://arxiv.org/abs/2108.01035v1

    • [cs.DC]Local certification of graph decompositions and applications to minor-free classes
    Nicolas Bousquet, Laurent Feuilloley, Théo Pierron
    http://arxiv.org/abs/2108.00059v1

    • [cs.DC]Resource Management in Edge and Fog Computing using FogBus2 Framework
    Mohammad Goudarzi, Qifan Deng, Rajkumar Buyya
    http://arxiv.org/abs/2108.00591v1

    • [cs.DC]Webots.HPC: A Parallel Robotics Simulation Pipeline for Autonomous Vehicles on High Performance Computing
    Matt Franchi
    http://arxiv.org/abs/2108.00485v1

    • [cs.DC]YASMIN: a Real-time Middleware for COTS Heterogeneous Platforms
    Rouxel Benjamin, Sebastian Altmeyer, Clemens Grelck
    http://arxiv.org/abs/2108.00730v1

    • [cs.ET]Long-Range Optical Wireless Information and Power Transfer
    Yunfeng Bai, Qingqing Zhang, Wei Wang, Riqing Chen, Qingwen Liu
    http://arxiv.org/abs/2108.00004v1

    • [cs.GT]Emerging Methods of Auction Design in Social Networks
    Yuhang Guo, Dong Hao
    http://arxiv.org/abs/2108.00381v1

    • [cs.HC]Improving Deep Learning for HAR with shallow LSTMs
    Marius Bock, Alexander Hoelzemann, Michael Moeller, Kristof Van Laerhoven
    http://arxiv.org/abs/2108.00702v1

    • [cs.HC]Predicting user demographics based on interest analysis
    Reza Shafiloo, Marjan Kaedi, Ali Pourmiri
    http://arxiv.org/abs/2108.01014v1

    • [cs.HC]StudyMe: A New Mobile App for User-Centric N-of-1 Trials
    Alexander M. Zenner, Erwin Böttinger, Stefan Konigorski
    http://arxiv.org/abs/2108.00320v1

    • [cs.IR]An Empirical analysis on Transparent Algorithmic Exploration in Recommender Systems
    Kihwan Kim
    http://arxiv.org/abs/2108.00151v1

    • [cs.IR]Cross-cultural Mood Perception in Pop Songs and its Alignment with Mood Detection Algorithms
    Harin Lee, Frank Hoeger, Marc Schoenwiesner, Minsu Park, Nori Jacoby
    http://arxiv.org/abs/2108.00768v1

    • [cs.IR]Exploring Lottery Ticket Hypothesis in Media Recommender Systems
    Yanfang Wang, Yongduo Sui, Xiang Wang, Zhenguang Liu, Xiangnan He
    http://arxiv.org/abs/2108.00944v1

    • [cs.IR]Jointly Optimizing Query Encoder and Product Quantization to Improve Retrieval Performance
    Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Jiafeng Guo, Min Zhang, Shaoping Ma
    http://arxiv.org/abs/2108.00644v1

    • [cs.IR]Relevance ranking for proximity full-text search based on additional indexes with multi-component keys
    Alexander B. Veretennikov
    http://arxiv.org/abs/2108.00410v1

    • [cs.IR]Self-supervised Answer Retrieval on Clinical Notes
    Paul Grundmann, Sebastian Arnold, Alexander Löser
    http://arxiv.org/abs/2108.00775v1

    • [cs.IT]A Reinforcement Learning Approach for Scheduling in mmWave Networks
    Mine Gokce Dogan, Yahya H. Ezzeldin, Christina Fragouli, Addison W. Bohannon
    http://arxiv.org/abs/2108.00548v1

    • [cs.IT]A Training-Based Mutual Information Lower Bound for Large-Scale Systems
    Xiangbo Meng, Kang Gao, Bertrand M. Hochwald
    http://arxiv.org/abs/2108.00034v1

    • [cs.IT]Accurate Signal Recovery in UHF Band Reuse-1 Cellular OFDMA Downlinks
    Abhay Mohan M V, Giridhar K
    http://arxiv.org/abs/2108.00598v1

    • [cs.IT]Angle Estimation for Terahertz Ultra-Massive MIMO-Based Space-to-Air Communications
    Anwen Liao, Zhen Gao, Yang Yang, Ha H. Nguyen, Hua Wang, Hao Yin
    http://arxiv.org/abs/2108.00675v1

    • [cs.IT]Compressed sensing in the presence of speckle noise
    Wenda Zhou, Shirin Jalali, Arian Maleki
    http://arxiv.org/abs/2108.00329v1

    • [cs.IT]Delay Aware Secure Offloading for NOMA-Assisted Mobile Edge Computing in Internet of Vehicles
    Ling He, Miaowen Wen, Yingyang Chen, Bingli Jiao
    http://arxiv.org/abs/2108.00469v1

    • [cs.IT]Design of Non-Orthogonal Sequences Using a Two-Stage Genetic Algorithm for Grant-Free Massive Connectivity
    Nam Yul Yu
    http://arxiv.org/abs/2108.00361v1

    • [cs.IT]Distributed Learning for Time-varying Networks: A Scalable Design
    Jian Wang, Yourui Huangfu, Rong Li, Yiqun Ge, Jun Wang
    http://arxiv.org/abs/2108.00231v1

    • [cs.IT]Edge Intelligence in Softwarized 6G: Deep Learning-enabled Network Traffic Predictions
    Shah Zeb, Muhammad Ahmad Rathore, Aamir Mahmood, Syed Ali Hassan, JongWon Kim, Mikael Gidlund
    http://arxiv.org/abs/2108.00332v1

    • [cs.IT]Hybrid Beamforming and Combining for Millimeter Wave Full Duplex Massive MIMO Interference Channel
    Chandan Kumar Sheemar, Dirk Slock
    http://arxiv.org/abs/2108.00465v1

    • [cs.IT]Node repair on connected graphs
    Adway Patra, Alexander Barg
    http://arxiv.org/abs/2108.00939v1

    • [cs.IT]On the Success Probability of Three Detectors for the Box-Constrained Integer Linear Model
    Jinming Wen, Xiao Wen Chang
    http://arxiv.org/abs/2108.00492v1

    • [cs.IT]Performance Analysis of a Two-Hop Relaying LoRa System
    Wenyang Xu, Guofa Cai, Yi Fang, Guanrong Chen
    http://arxiv.org/abs/2108.00638v1

    • [cs.IT]Several classes of bent functions over finite fields
    Xi Xie, Nian Li, Xiangyong Zeng, Xiaohu Tang, Yao Yao
    http://arxiv.org/abs/2108.00612v1

    • [cs.IT]Simple Framework of ZF Precoding Analysis for Full-Dimensional Massive MIMO Systems
    Harsh Tataria, Mansoor Shafi
    http://arxiv.org/abs/2108.00614v1

    • [cs.IT]Three-Dimensional Trajectory Design for Multi-User MISO UAV Communications: A Deep Reinforcement Learning Approach
    Yang Wang, Zhen Gao
    http://arxiv.org/abs/2108.00668v1

    • [cs.IT]Tree-Algorithms with Multi-Packet Reception and Successive Interference Cancellation
    Cedomir Stefanović, Yash Deshpande, H. Murat Gürsu, Wolfgang Kellerer
    http://arxiv.org/abs/2108.00906v1

    • [cs.LG]A Decentralized Federated Learning Framework via Committee Mechanism with Convergence Guarantee
    Chunjiang Che, Xiaoli Li, Chuan Chen, Xiaoyu He, Zibin Zheng
    http://arxiv.org/abs/2108.00365v1

    • [cs.LG]A Framework for Multi-View Classification of Features
    Khalil Taheri, Hadi Moradi, Mostafa Tavassolipour
    http://arxiv.org/abs/2108.01019v1

    • [cs.LG]A Hybrid Ensemble Feature Selection Design for Candidate Biomarkers Discovery from Transcriptome Profiles
    Felipe Colombelli, Thayne Woycinck Kowalski, Mariana Recamonde-Mendoza
    http://arxiv.org/abs/2108.00290v1

    • [cs.LG]A Plant Root System Algorithm Based on Swarm Intelligence for One-dimensional Biomedical Signal Feature Engineering
    Rui Gong, Kazunori Hase
    http://arxiv.org/abs/2108.00214v1

    • [cs.LG]A Survey of Human-in-the-loop for Machine Learning
    Xingjiao Wu, Luwei Xiao, Yixuan Sun, Junhang Zhang, Tianlong Ma, Liang He
    http://arxiv.org/abs/2108.00941v1

    • [cs.LG]A survey of Monte Carlo methods for noisy and costly densities with application to reinforcement learning
    F. Llorente, L. Martino, J. Read, D. Delgado
    http://arxiv.org/abs/2108.00490v1

    • [cs.LG]Active Learning in Gaussian Process State Space Model
    Hon Sum Alec Yu, Dingling Yao, Christoph Zimmer, Marc Toussaint, Duy Nguyen-Tuong
    http://arxiv.org/abs/2108.00819v1

    • [cs.LG]Adaptive t-Momentum-based Optimization for Unknown Ratio of Outliers in Amateur Data in Imitation Learning
    Wendyam Eric Lionel Ilboudo, Taisuke Kobayashi, Kenji Sugimoto
    http://arxiv.org/abs/2108.00625v1

    • [cs.LG]Adversarial Attacks Against Deep Reinforcement Learning Framework in Internet of Vehicles
    Anum Talpur, Mohan Gurusamy
    http://arxiv.org/abs/2108.00833v1

    • [cs.LG]Automated Pest Detection with DNN on the Edge for Precision Agriculture
    Andrea Albanese, Matteo Nardello, Davide Brunelli
    http://arxiv.org/abs/2108.00421v1

    • [cs.LG]Bayesian analysis of the prevalence bias: learning and predicting from imbalanced data
    Loic Le Folgoc, Vasileios Baltatzis, Amir Alansary, Sujal Desai, Anand Devaraj, Sam Ellis, Octavio E. Martinez Manzanera, Fahdi Kanavati, Arjun Nair, Julia Schnabel, Ben Glocker
    http://arxiv.org/abs/2108.00250v1

    • [cs.LG]Bilevel Optimization for Machine Learning: Algorithm Design and Convergence Analysis
    Kaiyi Ji
    http://arxiv.org/abs/2108.00330v1

    • [cs.LG]BoA-PTA, A Bayesian Optimization Accelerated Error-Free SPICE Solver
    Wei W. Xing, Xiang Jin, Yi Liu, Dan Niu, Weishen Zhao, Zhou Jin
    http://arxiv.org/abs/2108.00257v1

    • [cs.LG]Bucketed PCA Neural Networks with Neurons Mirroring Signals
    Jackie Shen
    http://arxiv.org/abs/2108.00605v1

    • [cs.LG]CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms
    Martin Pawelczyk, Sascha Bielawski, Johannes van den Heuvel, Tobias Richter, Gjergji Kasneci
    http://arxiv.org/abs/2108.00783v1

    • [cs.LG]Certified Defense via Latent Space Randomized Smoothing with Orthogonal Encoders
    Huimin Zeng, Jiahao Su, Furong Huang
    http://arxiv.org/abs/2108.00491v1

    • [cs.LG]Cold Start Similar Artists Ranking with Gravity-Inspired Graph Autoencoders
    Guillaume Salha-Galvan, Romain Hennequin, Benjamin Chapus, Viet-Anh Tran, Michalis Vazirgiannis
    http://arxiv.org/abs/2108.01053v1

    • [cs.LG]Conditional Bures Metric for Domain Adaptation
    You-Wei Luo, Chuan-Xian Ren
    http://arxiv.org/abs/2108.00302v1

    • [cs.LG]Data-driven model for hydraulic fracturing design optimization. Part II: Inverse problem
    Viktor Duplyakov, Anton Morozov, Dmitriy Popkov, Egor Shel, Albert Vainshtein, Evgeny Burnaev, Andrei Osiptsov, Grigory Paderin
    http://arxiv.org/abs/2108.00751v1

    • [cs.LG]Debiasing Samples from Online Learning Using Bootstrap
    Ningyuan Chen, Xuefeng Gao, Yi Xiong
    http://arxiv.org/abs/2108.00236v1

    • [cs.LG]DeepTrack: Lightweight Deep Learning for Vehicle Path Prediction in Highways
    Mohammadreza Baharani, Vinit Katariya, Nichole Morris, Omidreza Shoghli, Hamed Tabkhi
    http://arxiv.org/abs/2108.00505v1

    • [cs.LG]Domain Adaptation for Autoencoder-Based End-to-End Communication Over Wireless Channels
    Jayaram Raghuram, Yijing Zeng, Dolores García Martí, Somesh Jha, Suman Banerjee, Joerg Widmer, Rafael Ruiz Ortiz
    http://arxiv.org/abs/2108.00874v1

    • [cs.LG]Evaluating Deep Graph Neural Networks
    Wentao Zhang, Zeang Sheng, Yuezihan Jiang, Yikuan Xia, Jun Gao, Zhi Yang, Bin Cui
    http://arxiv.org/abs/2108.00955v1

    • [cs.LG]Evaluating Federated Learning for Intrusion Detection in Internet of Things: Review and Challenges
    Enrique Mármol Campos, Pablo Fernández Saura, Aurora González-Vidal, José L. Hernández-Ramos, Jorge Bernal Bernabe, Gianmarco Baldini, Antonio Skarmeta
    http://arxiv.org/abs/2108.00974v1

    • [cs.LG]Exact Pareto Optimal Search for Multi-Task Learning: Touring the Pareto Front
    Debabrata Mahapatra, Vaibhav Rajan
    http://arxiv.org/abs/2108.00597v1

    • [cs.LG]Fair Representation Learning using Interpolation Enabled Disentanglement
    Akshita Jha, Bhanukiran Vinzamuri, Chandan K. Reddy
    http://arxiv.org/abs/2108.00295v1

    • [cs.LG]Faster Rates of Differentially Private Stochastic Convex Optimization
    Jinyan Su, Di Wang
    http://arxiv.org/abs/2108.00331v1

    • [cs.LG]Few-shot calibration of low-cost air pollution (PM2.5) sensors using meta-learning
    Kalpit Yadav, Vipul Arora, Sonu Kumar Jha, Mohit Kumar, Sachchida Nand Tripathi
    http://arxiv.org/abs/2108.00640v1

    • [cs.LG]Foundations of data imbalance and solutions for a data democracy
    Ajay Kulkarni, Deri Chong, Feras A. Batarseh
    http://arxiv.org/abs/2108.00071v1

    • [cs.LG]Freezing Sub-Models During Incremental Process Discovery: Extended Version
    Daniel Schuster, Sebastiaan J. van Zelst, Wil M. P. van der Aalst
    http://arxiv.org/abs/2108.00215v1

    • [cs.LG]Gates are not what you need in RNNs
    Ronalds Zakovskis, Andis Draguns, Eliza Gaile, Emils Ozolins, Karlis Freivalds
    http://arxiv.org/abs/2108.00527v1

    • [cs.LG]Grain: Improving Data Efficiency of Graph Neural Networks via Diversified Influence Maximization
    Wentao Zhang, Zhi Yang, Yexin Wang, Yu Shen, Yang Li, Liang Wang, Bin Cui
    http://arxiv.org/abs/2108.00219v1

    • [cs.LG]IPOF: An Extremely and Excitingly Simple Outlier Detection Booster via Infinite Propagation
    Sibo Zhu, Handong Zhao, Hongfu Liu
    http://arxiv.org/abs/2108.00360v1

    • [cs.LG]Information Stealing in Federated Learning Systems Based on Generative Adversarial Networks
    Yuwei Sun, Ng Chong, Hideya Ochiai
    http://arxiv.org/abs/2108.00701v1

    • [cs.LG]Inverse Reinforcement Learning for Strategy Identification
    Mark Rucker, Stephen Adams, Roy Hayes, Peter A. Beling
    http://arxiv.org/abs/2108.00293v1

    • [cs.LG]Learning to Control Direct Current Motor for Steering in Real Time via Reinforcement Learning
    Thomas Watson, Bibek Poudel
    http://arxiv.org/abs/2108.00138v1

    • [cs.LG]Learning to Learn to Demodulate with Uncertainty Quantification via Bayesian Meta-Learning
    Kfir M. Cohen, Sangwoo Park, Osvaldo Simeone, Shlomo Shamai
    http://arxiv.org/abs/2108.00785v1

    • [cs.LG]Learning who is in the market from time series: market participant discovery through adversarial calibration of multi-agent simulators
    Victor Storchan, Svitlana Vyetrenko, Tucker Balch
    http://arxiv.org/abs/2108.00664v1

    • [cs.LG]Learning with Noisy Labels via Sparse Regularization
    Xiong Zhou, Xianming Liu, Chenyang Wang, Deming Zhai, Junjun Jiang, Xiangyang Ji
    http://arxiv.org/abs/2108.00192v1

    • [cs.LG]Masking Neural Networks Using Reachability Graphs to Predict Process Events
    Julian Theis, Houshang Darabi
    http://arxiv.org/abs/2108.00404v1

    • [cs.LG]Multivariate Time Series Imputation by Graph Neural Networks
    Andrea Cini, Ivan Marisca, Cesare Alippi
    http://arxiv.org/abs/2108.00298v1

    • [cs.LG]PSA-GAN: Progressive Self Attention GANs for Synthetic Time Series
    Jeha Paul, Bohlke-Schneider Michael, Mercado Pedro, Singh Nirwan Rajbir, Kapoor Shubham, Flunkert Valentin, Gasthaus Jan, Januschowski Tim
    http://arxiv.org/abs/2108.00981v1

    • [cs.LG]Personalized Stress Monitoring using Wearable Sensors in Everyday Settings
    Ali Tazarv, Sina Labbaf, Stephanie M. Reich, Nikil Dutt, Amir M. Rahmani, Marco Levorato
    http://arxiv.org/abs/2108.00144v1

    • [cs.LG]Piecewise Linear Units Improve Deep Neural Networks
    Jordan Inturrisi, Sui Yang Khoo, Abbas Kouzani, Riccardo Pagliarella
    http://arxiv.org/abs/2108.00700v1

    • [cs.LG]Rethinking gradient sparsification as total error minimization
    Atal Narayan Sahu, Aritra Dutta, Ahmed M. Abdelmoniem, Trambak Banerjee, Marco Canini, Panos Kalnis
    http://arxiv.org/abs/2108.00951v1

    • [cs.LG]SPEAR : Semi-supervised Data Programming in Python
    Guttu Sai Abhishek, Harshad Ingole, Parth Laturia, Vineeth Dorna, Ayush Maheshwari, Ganesh Ramakrishnan, Rishabh Iyer
    http://arxiv.org/abs/2108.00373v1

    • [cs.LG]Sequoia: A Software Framework to Unify Continual Learning Research
    Fabrice Normandin, Florian Golemo, Oleksiy Ostapenko, Pau Rodriguez, Matthew D Riemer, Julio Hurtado, Khimya Khetarpal1, Dominic Zhao, Ryan Lindeborg, Thimothée Lesort, Laurent Charlin, Irina Rish, Massimo Caccia
    http://arxiv.org/abs/2108.01005v1

    • [cs.LG]Soft Calibration Objectives for Neural Networks
    Archit Karandikar, Nicholas Cain, Dustin Tran, Balaji Lakshminarayanan, Jonathon Shlens, Michael C. Mozer, Becca Roelofs
    http://arxiv.org/abs/2108.00106v1

    • [cs.LG]Tensor-Train Density Estimation
    Georgii S. Novikov, Maxim E. Panov, Ivan V. Oseledets
    http://arxiv.org/abs/2108.00089v1

    • [cs.LG]The Separation Capacity of Random Neural Networks
    Sjoerd Dirksen, Martin Genzel, Laurent Jacques, Alexander Stollenwerk
    http://arxiv.org/abs/2108.00207v1

    • [cs.LG]Transformer-based Map Matching with Model Limited Ground-Truth Data using Transfer-Learning Approach
    Zhixiong Jin, Seongjin Choi, Hwasoo Yeo
    http://arxiv.org/abs/2108.00439v1

    • [cs.MM]Speech2AffectiveGestures: Synthesizing Co-Speech Gestures with Generative Adversarial Affective Expression Learning
    Uttaran Bhattacharya, Elizabeth Childs, Nicholas Rewkowski, Dinesh Manocha
    http://arxiv.org/abs/2108.00262v1

    • [cs.NE]Computational Hierarchy of Elementary Cellular Automata
    Barbora Hudcová, Tomáš Mikolov
    http://arxiv.org/abs/2108.00415v1

    • [cs.NE]Formation of cell assemblies with iterative winners-take-all computation and excitation-inhibition balance
    Viacheslav Osaulenko, Danylo Ulianych
    http://arxiv.org/abs/2108.00706v1

    • [cs.NE]SignalGP-Lite: Event Driven Genetic Programming Library for Large-Scale Artificial Life Applications
    Matthew Andres Moreno, Santiago Rodriguez Papa, Alexander Lalejini, Charles Ofria
    http://arxiv.org/abs/2108.00382v1

    • [cs.NI]Efficient On-Chip Multicast Routing based on Dynamic Partition Merging
    Binayak Tiwari, Mei Yang, Yingtao Jiang, Xiaohang Wang
    http://arxiv.org/abs/2108.00566v1

    • [cs.RO]“Robot Steganography”?: Opportunities and Challenges
    Martin Cooney, Eric Järpe, Alexey Vinel
    http://arxiv.org/abs/2108.00998v1

    • [cs.RO]3D Reactive Control and Frontier-Based Exploration for Unstructured Environments
    Shakeeb Ahmad, Andrew B. Mills, Eugene R. Rush, Eric W. Frew, J. Sean Humbert
    http://arxiv.org/abs/2108.00380v1

    • [cs.RO]Agent-aware State Estimation in Autonomous Vehicles
    Shane Parr, Ishan Khatri, Justin Svegliato, Shlomo Zilberstein
    http://arxiv.org/abs/2108.00366v1

    • [cs.RO]An Efficient Image-to-Image Translation HourGlass-based Architecture for Object Pushing Policy Learning
    Marco Ewerton, Angel Martínez-González, Jean-Marc Odobez
    http://arxiv.org/abs/2108.01034v1

    • [cs.RO]Co-Design of Assistive Robotics with Additive Manufacturing and Cyber-Physical Modularity to Improve Trust
    Alexandre Colle, Ronnie Smith, Scott Macleod, Mauro Dragone
    http://arxiv.org/abs/2108.01067v1

    • [cs.RO]Desperate Times Call for Desperate Measures: Towards Risk-Adaptive Task Allocation
    Max Rudolph, Sonia Chernova, Harish Ravichandarr
    http://arxiv.org/abs/2108.00346v1

    • [cs.RO]Improving Grasp Stability with Rotation Measurement from Tactile Sensing
    Raj Kolamuri, Zilin Si, Yufan Zhang, Arpit Agarwal, Wenzhen Yuan
    http://arxiv.org/abs/2108.00301v1

    • [cs.RO]Learning Embeddings that Capture Spatial Semantics for Indoor Navigation
    Vidhi Jain, Prakhar Agarwal, Shishir Patil, Katia Sycara
    http://arxiv.org/abs/2108.00159v1

    • [cs.RO]Majorization Minimization Methods for Distributed Pose Graph Optimization
    Taosha Fan, Todd Murphey
    http://arxiv.org/abs/2108.00083v1

    • [cs.RO]Motion Planning for Variable Topology Trusses: Reconfiguration and Locomotion
    Chao Liu, Sencheng Yu, Mark Yim
    http://arxiv.org/abs/2108.00309v1

    • [cs.RO]**Multi-Objective Path-Based D Lite
    Zhongqiang Ren, Sivakumar Rathinam, Howie Choset
    http://arxiv.org/abs/2108.00710v1

    • [cs.RO]Multi-objective Conflict-based Search Using Safe-interval Path Planning
    Zhongqiang Ren, Sivakumar Rathinam
    http://arxiv.org/abs/2108.00745v1

    • [cs.RO]Neuromechanical model-based control of bi-lateral ankle exoskeletons: biological joint torque and electromyogram reduction across walking conditions
    Guillaume Durandau, Wolfgang Rampeltshammer, Herman van der Kooij, Massimo Sartori
    http://arxiv.org/abs/2108.00980v1

    • [cs.RO]Non-linear stiffness modeling of multi-link compliant serial manipulator composed of multiple tensegrity segments
    Wanda Zhao, Anatol Pashkevich, Damien Chablat
    http://arxiv.org/abs/2108.00753v1

    • [cs.RO]Online Spatio-temporal Calibration of Tightly-coupled Ultrawideband-aided Inertial Localization
    Abhishek Goudar, Angela P. Schoellig
    http://arxiv.org/abs/2108.00133v1

    • [cs.RO]Orientation-Aware Planning for Parallel Task Execution of Omni-Directional Mobile Robot
    Cheng Gong, Zirui Li, Xingyu Zhou, Jiachen Li, Jianwei Gong, Junhui Zhou
    http://arxiv.org/abs/2108.00716v1

    • [cs.RO]Penalty-based Numerical Representation of Rigid Body Interactions with Applications to Simulation of Robotic Grasping
    Michael Zechmair, Yannick Morel
    http://arxiv.org/abs/2108.00348v1

    • [cs.RO]Planning of Power Grasps Using Infinite Program Under Complementary Constraints
    Zherong Pan, Duo Zhang, Changhe Tu, Xifeng Gao
    http://arxiv.org/abs/2108.00285v1

    • [cs.RO]Powerline Tracking with Event Cameras
    Alexander Dietsche, Giovanni Cioffi, Javier Hidalgo-Carrio, Davide Scaramuzza
    http://arxiv.org/abs/2108.00515v1

    • [cs.RO]Rapidly-Exploring Random Graph Next-Best View Exploration for Ground Vehicles
    Marco Steinbrink, Philipp Koch, Bernhard Jung, Stefan May
    http://arxiv.org/abs/2108.01012v1

    • [cs.RO]Redundancy Resolution in Kinematic Control of Serial Manipulators in Multi-Obstacle Environment
    Wanda Zhao, Anatol Pashkevich, Damien Chablat
    http://arxiv.org/abs/2108.00762v1

    • [cs.RO]Risk Averse Bayesian Reward Learning for Autonomous Navigation from Human Demonstration
    Christian Ellis, Maggie Wigness, John G. Rogers III, Craig Lennon, Lance Fiondella
    http://arxiv.org/abs/2108.00276v1

    • [cs.RO]Self-Supervised Disentangled Representation Learning for Third-Person Imitation Learning
    Jinghuan Shang, Michael S. Ryoo
    http://arxiv.org/abs/2108.01069v1

    • [cs.RO]Semantic-aware plant traversability estimation in plant-rich environments for agricultural mobile robots
    Shigemichi Matsuzaki, Jun Miura, Hiroaki Masuzawa
    http://arxiv.org/abs/2108.00759v1

    • [cs.RO]Shared-Control Teleoperation Paradigms on a Soft Growing Robot Manipulator
    Fabio Stroppa, Mario Selvaggio, Nathaniel Agharese, MingLuo, Laura H. Blumenschein, Elliot W. Hawkes, Allison M. Okamura
    http://arxiv.org/abs/2108.00677v1

    • [cs.RO]Transformer-based deep imitation learning for dual-arm robot manipulation
    Heecheol Kim, Yoshiyuki Ohmura, Yasuo Kuniyoshi
    http://arxiv.org/abs/2108.00385v1

    • [cs.SD]Musical Speech: A Transformer-based Composition Tool
    Jason d’Eon, Sri Harsha Dumpala, Chandramouli Shama Sastry, Dani Oore, Sageev Oore
    http://arxiv.org/abs/2108.01043v1

    • [cs.SE]AI Techniques for Software Requirements Prioritization
    Alexander Felfernig
    http://arxiv.org/abs/2108.00832v1

    • [cs.SE]Cloud Native Privacy Engineering through DevPrivOps
    Elias Grünewald
    http://arxiv.org/abs/2108.00927v1

    • [cs.SI]Charting closed-loop collective cultural decisions: From book best sellers and music downloads to Twitter hashtags and Reddit comments
    Lukas Schneider, Johannes Scholten, Bulcsuu Saandor, Claudius Gros
    http://arxiv.org/abs/2108.00447v1

    • [cs.SI]Structure Amplification on Multi-layer Stochastic Block Models
    Xiaodong Xin, Kun He, Jialu Bao, Bart Selman, John E. Hopcroft
    http://arxiv.org/abs/2108.00127v1

    • [cs.SI]You too Brutus! Trapping Hateful Users in Social Media: Challenges, Solutions & Insights
    Mithun Das, Punyajoy Saha, Ritam Dutt, Pawan Goyal, Animesh Mukherjee, Binny Mathew
    http://arxiv.org/abs/2108.00524v1

    • [eess.IV]Bespoke Fractal Sampling Patterns for Discrete Fourier Space via the Kaleidoscope Transform
    Jacob M. White, Stuart Crozier, Shekhar S. Chandra
    http://arxiv.org/abs/2108.00639v1

    • [eess.IV]Cohort Bias Adaptation in Aggregated Datasets for Lesion Segmentation
    Brennan Nichyporuk, Jillian Cardinell, Justin Szeto, Raghav Mehta, Sotirios Tsaftaris, Douglas L. Arnold, Tal Arbel
    http://arxiv.org/abs/2108.00713v1

    • [eess.IV]Multi-phase Liver Tumor Segmentation with Spatial Aggregation and Uncertain Region Inpainting
    Yue Zhang, Chengtao Pen, Liying Peng, Huimin Huang, RuofengTong, Lanfen Lin, Jingsong Li, Yen-Wei Chen, Qingqing Chen, HongjieHu, Zhiyi Peng
    http://arxiv.org/abs/2108.00911v1

    • [eess.IV]Projective Skip-Connections for Segmentation Along a Subset of Dimensions in Retinal OCT
    Dmitrii Lachinov, Philipp Seeboeck, Julia Mai, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
    http://arxiv.org/abs/2108.00831v1

    • [eess.IV]Style Curriculum Learning for Robust Medical Image Segmentation
    Zhendong Liu, Van Manh, Xin Yang, Xiaoqiong Huang, Karim Lekadir, Víctor Campello, Nishant Ravikumar, Alejandro F Frangi, Dong Ni
    http://arxiv.org/abs/2108.00402v1

    • [eess.IV]Subjective Image Quality Assessment with Boosted Triplet Comparisons
    Hui Men, Hanhe Lin, Mohsen Jenadeleh, Dietmar Saupe
    http://arxiv.org/abs/2108.00201v1

    • [eess.IV]Thermal Image Super-Resolution Using Second-Order Channel Attention with Varying Receptive Fields
    Nolan B. Gutierrez, William J. Beksi
    http://arxiv.org/abs/2108.00094v1

    • [eess.SP]CNN based Channel Estimation using NOMA for mmWave Massive MIMO System
    Anu T S, Tara Raveendran
    http://arxiv.org/abs/2108.00367v1

    • [eess.SP]Data-driven Clustering in Ad-hoc Networks based on Community Detection
    Shufan Huang, Yongpeng Wu, Siyuan Gao
    http://arxiv.org/abs/2108.00600v1

    • [eess.SP]Local Diversity and Ultra-Reliable Antenna Arrays
    Jens Abraham, Torbjörn Ekman
    http://arxiv.org/abs/2108.00712v1

    • [eess.SP]The Portiloop: a deep learning-based open science tool for closed-loop brain stimulation
    Nicolas Valenchon, Yann Bouteiller, Hugo R. Jourde, Emily B. J. Coffey, Giovanni Beltrame
    http://arxiv.org/abs/2107.13473v2

    • [eess.SY]2-D Directed Formation Control Based on Bipolar Coordinates
    Farhad Mehdifar, Charalampos P. Bechlioulis, Julien M. Hendrickx, Dimos V. Dimarogonas
    http://arxiv.org/abs/2108.00916v1

    • [eess.SY]Synthetic Active Distribution System Generation via Unbalanced Graph Generative Adversarial Network
    Rong Yan, Yuxuan Yuan, Zhaoyu Wang, Guangchao Geng, Quanyuan Jiang
    http://arxiv.org/abs/2108.00599v1

    • [eess.SY]UAV Trajectory Planning in Wireless Sensor Networks for Energy Consumption Minimization by Deep Reinforcement Learning
    Botao Zhu, Ebrahim Bedeer, Ha H. Nguyen, Robert Barton, Jerome Henry
    http://arxiv.org/abs/2108.00354v1

    • [math.DG]Tensor completion using geodesics on Segre manifolds
    Lars Swijsen, Joeri Van der Veken, Nick Vannieuwenhoven
    http://arxiv.org/abs/2108.00735v1

    • [math.OC]Multiplicative updates for symmetric-cone factorizations
    Yong Sheng Soh, Antonios Varvitsiotis
    http://arxiv.org/abs/2108.00740v1

    • [math.OC]Prescribing net demand for electricity market clearing
    Juan M. Morales, Miguel Á. Muñoz, Salvador Pineda
    http://arxiv.org/abs/2108.01003v1

    • [math.OC]Zeroth-Order Alternating Randomized Gradient Projection Algorithms for General Nonconvex-Concave Minimax Problems
    Zi Xu, Jingjing Shen, Ziqi Wang, Yuhong Dai
    http://arxiv.org/abs/2108.00473v1

    • [math.PR]Asymptotic bias of inexact Markov Chain Monte Carlo methods in high dimension
    Alain Durmus, Andreas Eberle
    http://arxiv.org/abs/2108.00682v1

    • [math.PR]The restrictiveness of the hazard rate order and the moments of the maximal coordinate of a random vector uniformly distributed on the probability n-simplex
    Sela Fried
    http://arxiv.org/abs/2108.00487v1

    • [math.ST]Convergence rates of deep ReLU networks for multiclass classification
    Thijs Bos, Johannes Schmidt-Hieber
    http://arxiv.org/abs/2108.00969v1

    • [math.ST]Functional estimation in log-concave location families
    Vladimir Koltchinskii, Martin Wahl
    http://arxiv.org/abs/2108.00263v1

    • [math.ST]Generalization bounds for nonparametric regression with 今日学术视野(2021.8.4) - 图9mixing samples
    David Barrera, Emmanuel Gobet
    http://arxiv.org/abs/2108.00997v1

    • [math.ST]Neuronal Network Inference and Membrane Potential Model using Multivariate Hawkes Processes
    Anna Bonnet, Charlotte Dion, François Gindraud, Sarah Lemler
    http://arxiv.org/abs/2108.00758v1

    • [physics.chem-ph]Statistical learning method for predicting density-matrix based electron dynamics
    Prachi Gupta, Harish S. Bhat, Karnamohit Ranka, Christine M. Isborn
    http://arxiv.org/abs/2108.00318v1

    • [physics.flu-dyn]Data Driven Macroscopic Modeling across Knudsen Numbers for Rarefied Gas Dynamics and Application to Rayleigh Scattering
    Candi Zheng, Yang Wang, Shiyi Chen
    http://arxiv.org/abs/2108.00413v1

    • [physics.soc-ph]Citations or dollars? Early signals of a firm’s research success
    Shuqi Xu, Manuel S. Mariani, Linyuan Lü, Lorenzo Napolitano, Emanuele Pugliese, Andrea Zaccaria
    http://arxiv.org/abs/2108.00200v1

    • [physics.soc-ph]Cooperation dynamics under pandemic risks and heterogeneous economic interdependence
    Manuel Chica, Juan M. Hernandez, Francisco C. Santos
    http://arxiv.org/abs/2108.00886v1

    • [physics.soc-ph]Rationality and Reciprocity of Opinion Dynamics in Games
    Shinkyu Park, Anastasia Bizyaeva, Mari Kawakatsu, Alessio Franci, Naomi Ehrich Leonard
    http://arxiv.org/abs/2108.00966v1

    • [physics.soc-ph]The Aging Effect in Evolving Scientific Citation Networks
    Feng Hu, Lin Ma, Xiu-Xiu Zhan, Yinzuo Zhou, Chuang Liu, Haixing Zhao, Zi-Ke Zhang
    http://arxiv.org/abs/2108.00376v1

    • [q-bio.NC]How Morphological Computation shapes Integrated Information in Embodied Agents
    Carlotta Langer, Nihat Ay
    http://arxiv.org/abs/2108.00904v1

    • [q-bio.QM]The CirCor DigiScope Dataset: From Murmur Detection to Murmur Classification
    Jorge Oliveira, Francesco Renna, Paulo Dias Costa, Marcelo Nogueira, Cristina Oliveira, Carlos Ferreira, Alipio Jorge, Sandra Mattos, Thamine Hatem, Thiago Tavares, Andoni Elola, Ali Bahrami Rad, Reza Sameni, Gari D Clifford, Miguel T. Coimbra
    http://arxiv.org/abs/2108.00813v1

    • [q-fin.CP]Realised Volatility Forecasting: Machine Learning via Financial Word Embedding
    Eghbal Rahimikia, Stefan Zohren, Ser-Huang Poon
    http://arxiv.org/abs/2108.00480v1

    • [quant-ph]Ab-initio experimental violation of Bell inequalities
    Davide Poderini, Emanuele Polino, Giovanni Rodari, Alessia Suprano, Rafael Chaves, Fabio Sciarrino
    http://arxiv.org/abs/2108.00574v1

    • [quant-ph]Fluctuation and dissipation in memoryless open quantum evolutions
    Fabricio Toscano, Gustavo M. Bosyk, Steeve Zozor, Mariela Portesi
    http://arxiv.org/abs/2108.00087v1

    • [quant-ph]Large-scale quantum machine learning
    Tobias Haug, Chris N. Self, M. S. Kim
    http://arxiv.org/abs/2108.01039v1

    • [stat.AP]Assignment of a Synthetic Population for Activity-based Modelling employing Publicly Available Data
    Serio Agriesti, Claudio Roncoli, Bat-Hen Nahmias-Biran
    http://arxiv.org/abs/2108.00243v1

    • [stat.AP]Causal Inference in Educational Systems: A Graphical Modeling Approach
    Manie Tadayon, Greg Pottie
    http://arxiv.org/abs/2108.00654v1

    • [stat.AP]Optimizing Cost per Click for Digital Advertising Campaigns
    Aditya Jain, Sahil Khan
    http://arxiv.org/abs/2108.00747v1

    • [stat.AP]Projection scrubbing: a more effective, data-driven fMRI denoising method
    Damon Pham, Daniel McDonald, Lei Ding, Mary Beth Nebel, Amanda Mejia
    http://arxiv.org/abs/2108.00319v1

    • [stat.AP]Statistical Learning in Preclinical Drug Proarrhythmic Assessment
    Nan Milex Xi, Yu-Yi Hsu, Qianyu Dang, Dalong Patrick Huang
    http://arxiv.org/abs/2108.00543v1

    • [stat.AP]ricu: R’s Interface to Intensive Care Data
    Nicolas Bennett, Drago Plečko, Ida-Fong Ukor, Nicolai Meinshausen, Peter Bühlmann
    http://arxiv.org/abs/2108.00796v1

    • [stat.ME]A New Bayesian Optimization Algorithm for Complex High-Dimensional Disease Epidemic Systems
    Yuyang Chen, Kaiming Bi, Chih-Hang J. Wu, David Ben-Arieh, Ashesh Sinha
    http://arxiv.org/abs/2108.00062v1

    • [stat.ME]A graphical Gaussian process model for multi-fidelity emulation of expensive computer codes
    Yi Ji, Simon Mak, Derek Soeder, J-F Paquet
    http://arxiv.org/abs/2108.00306v1

    • [stat.ME]A new blocks estimator for the extremal index
    Helena Ferreira, Marta Ferreira
    http://arxiv.org/abs/2108.00754v1

    • [stat.ME]A new goodness of fit test for gamma distribution with censored observations
    Vaisakh K. M., Sreedevi E. P., Sudheesh K. Kattumannil
    http://arxiv.org/abs/2108.00503v1

    • [stat.ME]Bayesian Sample Size Calculations for SMART Studies
    Armando Turchetta, Erica E. M. Moodie, David A. Stephens, Sylvie D. Lambert
    http://arxiv.org/abs/2108.01041v1

    • [stat.ME]Estimation and visualization of treatment effects for multiple outcomes
    Shintaro Yuki, Kensuke Tanioka, Hiroshi Yadohisa
    http://arxiv.org/abs/2108.00163v1

    • [stat.ME]Functional clustering via multivariate clustering
    Belén Pulido, Alba María Franco-Pereira, Rosa Elvira Lillo
    http://arxiv.org/abs/2108.00217v1

    • [stat.ME]Sequential Multivariate Change Detection with Calibrated and Memoryless False Detection Rates
    Oliver Cobb, Arnaud Van Looveren, Janis Klaise
    http://arxiv.org/abs/2108.00883v1

    • [stat.ME]The Bias-Variance Tradeoff of Doubly Robust Estimator with Targeted 今日学术视野(2021.8.4) - 图10 regularized Neural Networks Predictions
    Mehdi Rostami, Olli Saarela, Michael Escobar
    http://arxiv.org/abs/2108.00990v1

    • [stat.ME]To adjust or not to adjust? Estimating the average treatment effect in randomized experiments with missing covariates
    Anqi Zhao, Peng Ding
    http://arxiv.org/abs/2108.00152v1

    • [stat.ME]Two-sample goodness-of-fit tests on the flat torus based on Wasserstein distance and their relevance to structural biology
    Javier González-Delgado, Alberto González-Sanz, Juan Cortés, Pierre Neuvial
    http://arxiv.org/abs/2108.00165v1

    • [stat.ML]A Random Matrix Perspective on Random Tensors
    José Henrique de Morais Goulart, Romain Couillet, Pierre Comon
    http://arxiv.org/abs/2108.00774v1

    • [stat.ML]Generalization Properties of Stochastic Optimizers via Trajectory Analysis
    Liam Hodgkinson, Umut Şimşekli, Rajiv Khanna, Michael W. Mahoney
    http://arxiv.org/abs/2108.00781v1

    • [stat.ML]Provably Efficient Lottery Ticket Discovery
    Cameron R. Wolfe, Qihan Wang, Junhyung Lyle Kim, Anastasios Kyrillidis
    http://arxiv.org/abs/2108.00259v1

    • [stat.ML]Pure Exploration and Regret Minimization in Matching Bandits
    Flore Sentenac, Jialin Yi, Clément Calauzènes, Vianney Perchet, Milan Vojnovic
    http://arxiv.org/abs/2108.00230v1