cond-mat.stat-mech - 统计数学
    cs.CV - 机器视觉与模式识别
    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.CY - 计算与社会
    cs.DC - 分布式、并行与集群计算
    cs.DL - 数字图书馆
    cs.DS - 数据结构与算法
    cs.GR - 计算机图形学
    cs.HC - 人机接口
    cs.IR - 信息检索
    cs.IT - 信息论
    cs.LG - 自动学习
    cs.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
    econ.EM - 计量经济学
    econ.GN - 一般经济学
    eess.AS - 语音处理
    eess.SP - 信号处理
    eess.SY - 系统和控制
    math.NA - 数值分析
    math.OC - 优化与控制
    math.RA - 环与代数
    math.ST - 统计理论
    physics.soc-ph - 物理学与社会
    q-bio.QM - 定量方法
    quant-ph - 量子物理
    stat.AP - 应用统计
    stat.CO - 统计计算
    stat.ME - 统计方法论
    stat.ML - (统计)机器学习
    stat.OT - 其他统计学

    • [cond-mat.stat-mech]Unsupervised learning of anomalous diffusion data
    • [cs
    95f
    .CV]TransForensics: Image Forgery Localization with Dense Self-Attention
    • [cs.AI]”What makes my queries slow?”: Subgroup Discovery for SQL Workload Analysis
    • [cs.AI]A Concise Function Representation for Faster Exact MPE and Constrained Optimisation in Graphical Models
    • [cs.AI]A Logical Characterization of the Preferred Models of Logic Programs with Ordered Disjunction
    • [cs.AI]Artificial Intelligence-Driven Customized Manufacturing Factory: Key Technologies, Applications, and Challenges
    • [cs.AI]Bob and Alice Go to a Bar: Reasoning About Future With Probabilistic Programs
    • [cs.AI]Deep Convolutional Neural Network for Low Projection SPECT Imaging Reconstruction
    • [cs.AI]Development of Human Motion Prediction Strategy using Inception Residual Block
    • [cs.AI]DySR: A Dynamic Representation Learning and Aligning based Model for Service Bundle Recommendation
    • [cs.AI]FOLASP: FO(.) as Input Language for Answer Ser Solvers
    • [cs.AI]GAN Computers Generate Arts? A Survey on Visual Arts, Music, and Literary Text Generation using Generative Adversarial Network
    • [cs.AI]Harnessing Incremental Answer Set Solving for Reasoning in Assumption-Based Argumentation
    • [cs.AI]Identification of Play Styles in Universal Fighting Engine
    • [cs.AI]Improving Similar Language Translation With Transfer Learning
    • [cs.AI]Knowledge accumulating: The general pattern of learning
    • [cs.AI]Learning Proxemic Behavior Using Reinforcement Learning with Cognitive Agents
    • [cs.AI]Modal Logic S5 Satisfiability in Answer Set Programming
    • [cs.AI]Modified Double DQN: addressing stability
    • [cs.AI]Multi-View TRGRU: Transformer based Spatiotemporal Model for Short-Term Metro Origin-Destination Matrix Prediction
    • [cs.AI]Rethinking of AlphaStar
    • [cs.AI]SPECT Angle Interpolation Based on Deep Learning Methodologies
    • [cs.AI]Semantic Tracklets: An Object-Centric Representation for Visual Multi-Agent Reinforcement Learning
    • [cs.AI]Sinogram Denoise Based on Generative Adversarial Networks
    • [cs.AI]Solution Enumeration by Optimality in Answer Set Programming
    • [cs.AI]Spatial-Temporal Deep Intention Destination Networks for Online Travel Planning
    • [cs.AI]Symptom based Hierarchical Classification of Diabetes and Thyroid disorders using Fuzzy Cognitive Maps
    • [cs.AI]Toward Human-Level Artificial Intelligence
    • [cs.AI]Vision Transformers for femur fracture classification
    • [cs.AI]What a million Indian farmers say?: A crowdsourcing-based method for pest surveillance
    • [cs.AR]VeRLPy: Python Library for Verification of Digital Designs with Reinforcement Learning
    • [cs.CL]A Neural Approach for Detecting Morphological Analogies
    • [cs.CL]An empirical assessment of deep learning approaches to task-oriented dialog management
    • [cs.CL]BERT-based distractor generation for Swedish reading comprehension questions using a small-scale dataset
    • [cs.CL]Controllable Summarization with Constrained Markov Decision Process
    • [cs.CL]Do Images really do the Talking? Analysing the significance of Images in Tamil Troll meme classification
    • [cs.CL]Encoding Heterogeneous Social and Political Context for Entity Stance Prediction
    • [cs.CL]Facebook AI WMT21 News Translation Task Submission
    • [cs.CL]Fine-tuning GPT-3 for Russian Text Summarization
    • [cs.CL]Generating Personalized Dialogue via Multi-Task Meta-Learning
    • [cs.CL]Is it Fake? News Disinformation Detection on South African News Websites
    • [cs.CL]Knowledge Graph Augmented Political Perspective Detection in News Media
    • [cs.CL]Language Model Evaluation in Open-ended Text Generation
    • [cs.CL]Leveraging Commonsense Knowledge on Classifying False News and Determining Checkworthiness of Claims
    • [cs.CL]Machine Translation of Low-Resource Indo-European Languages
    • [cs.CL]Multi-modal Retrieval of Tables and Texts Using Tri-encoder Models
    • [cs.CL]Multilingual Compositional Wikidata Questions
    • [cs.CL]Noisy Channel Language Model Prompting for Few-Shot Text Classification
    • [cs.CL]Not quite there yet: Combining analogical patterns and encoder-decoder networks for cognitively plausible inflection
    • [cs.CL]Offensive Language and Hate Speech Detection with Deep Learning and Transfer Learning
    • [cs.CL]On the Transferability of Neural Models of Morphological Analogies
    • [cs.CL]The HW-TSC’s Offline Speech Translation Systems for IWSLT 2021 Evaluation
    • [cs.CL]Tiny Neural Models for Seq2Seq
    • [cs.CL]Towards Zero-shot Language Modeling
    • [cs.CL]What do Bias Measures Measure?
    • [cs.CR]Secure Neuroimaging Analysis using Federated Learning with Homomorphic Encryption
    • [cs.CV]A Categorized Reflection Removal Dataset with Diverse Real-world Scenes
    • [cs.CV]A distillation based approach for the diagnosis of diseases
    • [cs.CV]AA-RMVSNet: Adaptive Aggregation Recurrent Multi-view Stereo Network
    • [cs.CV]AMDet: A Tool for Mitotic Cell Detection in Histopathology Slides
    • [cs.CV]AdaAttN: Revisit Attention Mechanism in Arbitrary Neural Style Transfer
    • [cs.CV]Alignment of Tractography Streamlines using Deformation Transfer via Parallel Transport
    • [cs.CV]An EM Framework for Online Incremental Learning of Semantic Segmentation
    • [cs.CV]Anchor-free 3D Single Stage Detector with Mask-Guided Attention for Point Cloud
    • [cs.CV]AutoVideo: An Automated Video Action Recognition System
    • [cs.CV]BIGRoC: Boosting Image Generation via a Robust Classifier
    • [cs.CV]Boundary-aware Graph Reasoning for Semantic Segmentation
    • [cs.CV]COVID-view: Diagnosis of COVID-19 using Chest CT
    • [cs.CV]Complementary Patch for Weakly Supervised Semantic Segmentation
    • [cs.CV]Context-Aware Mixup for Domain Adaptive Semantic Segmentation
    • [cs.CV]ContinuityLearner: Geometric Continuity Feature Learning for Lane Segmentation
    • [cs.CV]Contrastive Representation Learning for Rapid Intraoperative Diagnosis of Skull Base Tumors Imaged Using Stimulated Raman Histology
    • [cs.CV]DRINet: A Dual-Representation Iterative Learning Network for Point Cloud Segmentation
    • [cs.CV]Deep Learning methods for automatic evaluation of delayed enhancement-MRI. The results of the EMIDEC challenge
    • [cs.CV]DeepFH Segmentations for Superpixel-based Object Proposal Refinement
    • [cs.CV]Deformable Image Registration using Neural ODEs
    • [cs.CV]Detecting Visual Design Principles in Art and Architecture through Deep Convolutional Neural Networks
    • [cs.CV]Discriminative Latent Semantic Graph for Video Captioning
    • [cs.CV]Disentangled High Quality Salient Object Detection
    • [cs.CV]DistillPose: Lightweight Camera Localization Using Auxiliary Learning
    • [cs.CV]Distributionally Robust Segmentation of Abnormal Fetal Brain 3D MRI
    • [cs.CV]Dynamic Multi-Scale Loss Optimization for Object Detection
    • [cs.CV]Efficient Light Field Reconstruction via Spatio-Angular Dense Network
    • [cs.CV]Enhanced Invertible Encoding for Learned Image Compression
    • [cs.CV]Enhancing MR Image Segmentation with Realistic Adversarial Data Augmentation
    • [cs.CV]FA-GAN: Fused Attentive Generative Adversarial Networks for MRI Image Super-Resolution
    • [cs.CV]FIFA: Fast Inference Approximation for Action Segmentation
    • [cs.CV]Feature-Supervised Action Modality Transfer
    • [cs.CV]From Voxel to Point: IoU-guided 3D Object Detection for Point Cloud with Voxel-to-Point Decoder
    • [cs.CV]Hierarchical View Predictor: Unsupervised 3D Global Feature Learning through Hierarchical Prediction among Unordered Views
    • [cs.CV]Image Retrieval on Real-life Images with Pre-trained Vision-and-Language Models
    • [cs.CV]Impact of Aliasing on Generalization in Deep Convolutional Networks
    • [cs.CV]Information Bottleneck Approach to Spatial Attention Learning
    • [cs.CV]Joint Depth and Normal Estimation from Real-world Time-of-flight Raw Data
    • [cs.CV]Joint Inductive and Transductive Learning for Video Object Segmentation
    • [cs.CV]LatticeNet: Fast Spatio-Temporal Point Cloud Segmentation Using Permutohedral Lattices
    • [cs.CV]LeafMask: Towards Greater Accuracy on Leaf Segmentation
    • [cs.CV]Learning Facial Representations from the Cycle-consistency of Face
    • [cs.CV]Learning Indoor Layouts from Simple Point-Clouds
    • [cs.CV]Learning Joint Embedding with Modality Alignments for Cross-Modal Retrieval of Recipes and Food Images
    • [cs.CV]Learning an Augmented RGB Representation with Cross-Modal Knowledge Distillation for Action Detection
    • [cs.CV]MPI: Multi-receptive and Parallel Integration for Salient Object Detection
    • [cs.CV]Manifold-Aware Synthesis of High Resolution Diffusion from Structural Imaging
    • [cs.CV]Meta Gradient Adversarial Attack
    • [cs.CV]Monte Carlo DropBlock for Modelling Uncertainty in Object Detection
    • [cs.CV]Multi-Slice Net: A novel light weight framework for COVID-19 Diagnosis
    • [cs.CV]NASOA: Towards Faster Task-oriented Online Fine-tuning with a Zoo of Models
    • [cs.CV]Neighborhood Consensus Contrastive Learning for Backward-Compatible Representation
    • [cs.CV]NeuralMVS: Bridging Multi-View Stereo and Novel View Synthesis
    • [cs.CV]No-Reference Image Quality Assessment by Hallucinating Pristine Features
    • [cs.CV]Novel scorpion detection system combining computer vision and fluorescence
    • [cs.CV]OSCAR-Net: Object-centric Scene Graph Attention for Image Attribution
    • [cs.CV]OVIS: Open-Vocabulary Visual Instance Search via Visual-Semantic Aligned Representation Learning
    • [cs.CV]One-Shot Object Affordance Detection in the Wild
    • [cs.CV]P-WAE: Generalized Patch-Wasserstein Autoencoder for Anomaly Screening
    • [cs.CV]PASS: Protected Attribute Suppression System for Mitigating Bias in Face Recognition
    • [cs.CV]PSGR: Pixel-wise Sparse Graph Reasoning for COVID-19 Pneumonia Segmentation in CT Images
    • [cs.CV]PSViT: Better Vision Transformer via Token Pooling and Attention Sharing
    • [cs.CV]Paint Transformer: Feed Forward Neural Painting with Stroke Prediction
    • [cs.CV]Pose is all you need: The pose only group activity recognition system (POGARS)
    • [cs.CV]RECALL: Replay-based Continual Learning in Semantic Segmentation
    • [cs.CV]Rain Removal and Illumination Enhancement Done in One Go
    • [cs.CV]Reducing Annotating Load: Active Learning with Synthetic Images in Surgical Instrument Segmentation
    • [cs.CV]Regularizing Nighttime Weirdness: Efficient Self-supervised Monocular Depth Estimation in the Dark
    • [cs.CV]Saliency-Associated Object Tracking
    • [cs.CV]Selective Light Field Refocusing for Camera Arrays Using Bokeh Rendering and Superresolution
    • [cs.CV]Self-Adversarial Disentangling for Specific Domain Adaptation
    • [cs.CV]Self-supervised Learning of Occlusion Aware Flow Guided 3D Geometry Perception with Adaptive Cross Weighted Loss from Monocular Videos
    • [cs.CV]Skeleton-Contrastive 3D Action Representation Learning
    • [cs.CV]Spatio-Temporal Attention Mechanism and Knowledge Distillation for Lip Reading
    • [cs.CV]Stereo Waterdrop Removal with Row-wise Dilated Attention
    • [cs.CV]Temporal Action Localization Using Gated Recurrent Units
    • [cs.CV]Tensor Yard: One-Shot Algorithm of Hardware-Friendly Tensor-Train Decomposition for Convolutional Neural Networks
    • [cs.CV]Towards Discriminative Representation Learning for Unsupervised Person Re-identification
    • [cs.CV]Towards to Robust and Generalized Medical Image Segmentation Framework
    • [cs.CV]Transductive Few-Shot Classification on the Oblique Manifold
    • [cs.CV]Transfer Learning Gaussian Anomaly Detection by Fine-Tuning Representations
    • [cs.CV]TriTransNet: RGB-D Salient Object Detection with a Triplet Transformer Embedding Network
    • [cs.CV]Triplet Contrastive Learning for Brain Tumor Classification
    • [cs.CV]Two-stream Convolutional Networks for Multi-frame Face Anti-spoofing
    • [cs.CV]Understanding the computational demands underlying visual reasoning
    • [cs.CV]Unsupervised Learning of Fine Structure Generation for 3D Point Clouds by 2D Projection Matching
    • [cs.CV]Unsupervised Portrait Shadow Removal via Generative Priors
    • [cs.CV]Using Deep Learning for Visual Decoding and Reconstruction from Brain Activity: A Review
    • [cs.CV]Video Annotation for Visual Tracking via Selection and Refinement
    • [cs.CV]Visible Watermark Removal via Self-calibrated Localization and Background Refinement
    • [cs.CV]Weakly-Supervised Spatio-Temporal Anomaly Detection in Surveillance Video
    • [cs.CV]WideCaps: A Wide Attention based Capsule Network for Image Classification
    • [cs.CV]Zero in on Shape: A Generic 2D-3D Instance Similarity Metric learned from Synthetic Data
    • [cs.CV]ZiGAN: Fine-grained Chinese Calligraphy Font Generation via a Few-shot Style Transfer Approach
    • [cs.CY]Data Analysis: Communicating with Offshore Vendors using Instant Messaging Services
    • [cs.CY]Experiences with the Introduction of AI-based Tools for Moderation Automation of Voice-based Participatory Media Forums
    • [cs.CY]Piloting a Game Jam in Nigeria to Support Empathy and Compassion
    • [cs.CY]Success in IT offshoring: Does it depend on the location or the company?
    • [cs.CY]The State of AI Ethics Report (Volume 5)
    • [cs.DC]A High Throughput Parallel Hash Table on FPGA using XOR-based Memory
    • [cs.DC]Asymmetry-aware Scalable Locking
    • [cs.DC]Building Analytics Pipelines for Querying Big Streams and Data Histories with H-STREAM
    • [cs.DC]Clio: A Hardware-Software Co-Designed Disaggregated Memory System
    • [cs.DC]FliT: A Library for Simple and Efficient Persistent Algorithms
    • [cs.DC]From Domain-Specific Languages to Memory-Optimized Accelerators for Fluid Dynamics
    • [cs.DC]Master Graduation Thesis: A Lightweight and Distributed Container-based Framework
    • [cs.DC]Online Evolutionary Batch Size Orchestration for Scheduling Deep Learning Workloads in GPU Clusters
    • [cs.DC]Preparing for Performance Analysis at Exascale
    • [cs.DL]Profiling Web Archival Voids for Memento Routing
    • [cs.DS]Deterministic Massively Parallel Connectivity
    • [cs.GR]Learning Foveated Reconstruction to Preserve Perceived Image Statistics
    • [cs.HC]HelpViz: Automatic Generation of Contextual Visual MobileTutorials from Text-Based Instructions
    • [cs.HC]Screen2Words: Automatic Mobile UI Summarization with Multimodal Learning
    • [cs.IR]A Survey on Cross-domain Recommendation: Taxonomies, Methods, and Future Directions
    • [cs.IR]DGEM: A New Dual-modal Graph Embedding Method in Recommendation System
    • [cs.IR]Distilling Transformers for Neural Cross-Domain Search
    • [cs.IR]DoSSIER@COLIEE 2021: Leveraging dense retrieval and summarization-based re-ranking for case law retrieval
    • [cs.IR]IntenT5: Search Result Diversification using Causal Language Models
    • [cs.IR]Learning to Represent Human Motives for Goal-directed Web Browsing
    • [cs.IR]PoolRank: Max/Min Pooling-based Ranking Loss for Listwise Learning & Ranking Balance
    • [cs.IR]Unbiased Cascade Bandits: Mitigating Exposure Bias in Online Learning to Rank Recommendation
    • [cs.IT]A Database of Quantum Codes
    • [cs.IT]Covert, Low-Delay, Coded Message Passing in Mobile (IoT) Networks
    • [cs.IT]Deep Learning Based Antenna-time Domain Channel Extrapolation for Hybrid mmWave Massive MIMO
    • [cs.IT]Enabling Plug-and-Play and Crowdsourcing SLAM in Wireless Communication Systems
    • [cs.IT]Error Performance of Uplink SIMO-NOMA with Joint Maximum-Likelihood and Adaptive M-PSK
    • [cs.IT]On the Computational Complexity of Determining Value
    • [cs.IT]Zero-Error Feedback Capacity of Finite-State Additive Noise Channels for Stabilization of Linear Systems
    • [cs.LG]A Framework for Joint Unsupervised Learning of Cluster-Aware Embedding for Heterogeneous Networks
    • [cs.LG]A Look at the Evaluation Setup of the M5 Forecasting Competition
    • [cs.LG]A Machine Learning Tool to Determine State of Mind and Emotion
    • [cs.LG]Adaptive Anomaly Detection for Internet of Things in Hierarchical Edge Computing: A Contextual-Bandit Approach
    • [cs.LG]Approximate Last Iterate Convergence in Overparameterized GANs
    • [cs.LG]Classification Auto-Encoder based Detector against Diverse Data Poisoning Attacks
    • [cs.LG]Clustering Algorithms to Analyze the Road Traffic Crashes
    • [cs.LG]Collapsing the Decision Tree: the Concurrent Data Predictor
    • [cs.LG]Combining machine learning and data assimilation to forecast dynamical systems from noisy partial observations
    • [cs.LG]Concept Drift Detection with Variable Interaction Networks
    • [cs.LG]Deep Neural Network for DrawiNg Networks, (DNN)^2
    • [cs.LG]EVGen: Adversarial Networks for Learning Electric Vehicle Charging Loads and Hidden Representations
    • [cs.LG]Earables for Detection of Bruxism: a Feasibility Study
    • [cs.LG]Efficient Hyperparameter Optimization for Differentially Private Deep Learning
    • [cs.LG]Ensemble neuroevolution based approach for multivariate time series anomaly detection
    • [cs.LG]Expressive Power and Loss Surfaces of Deep Learning Models
    • [cs.LG]FederatedNILM: A Distributed and Privacy-preserving Framework for Non-intrusive Load Monitoring based on Federated Deep Learning
    • [cs.LG]HetEmotionNet: Two-Stream Heterogeneous Graph Recurrent Neural Network for Multi-modal Emotion Recognition
    • [cs.LG]Identifying Wetland Areas in Historical Maps using Deep Convolutional Neural Networks
    • [cs.LG]Improved Feature Importance Computations for Tree Models: Shapley vs. Banzhaf
    • [cs.LG]Joint AP Probing and Scheduling: A Contextual Bandit Approach
    • [cs.LG]Jointly Attacking Graph Neural Network and its Explanations
    • [cs.LG]Learning to Transfer with von Neumann Conditional Divergence
    • [cs.LG]Leveraging Uncertainty for Improved Static Malware Detection Under Extreme False Positive Constraints
    • [cs.LG]MAF-GNN: Multi-adaptive Spatiotemporal-flow Graph Neural Network for Traffic Speed Forecasting
    • [cs.LG]Membership Inference Attacks on Lottery Ticket Networks
    • [cs.LG]Meta-Reinforcement Learning in Broad and Non-Parametric Environments
    • [cs.LG]Mis-spoke or mis-lead: Achieving Robustness in Multi-Agent Communicative Reinforcement Learning
    • [cs.LG]Missing Data Estimation in Temporal Multilayer Position-aware Graph Neural Network (TMP-GNN)
    • [cs.LG]Neural Network Repair with Reachability Analysis
    • [cs.LG]On the Difficulty of Generalizing Reinforcement Learning Framework for Combinatorial Optimization
    • [cs.LG]On the Hyperparameters in Stochastic Gradient Descent with Momentum
    • [cs.LG]On the Power of Differentiable Learning versus PAC and SQ Learning
    • [cs.LG]Online Multiobjective Minimax Optimization and Applications
    • [cs.LG]Probabilistic Active Learning for Active Class Selection
    • [cs.LG]Robust 1-bit Compressive Sensing with Partial Gaussian Circulant Matrices and Generative Priors
    • [cs.LG]Safe Deep Reinforcement Learning for Multi-Agent Systems with Continuous Action Spaces
    • [cs.LG]Self-learning sparse PCA for multimode process monitoring
    • [cs.LG]Some thoughts on catastrophic forgetting and how to learn an algorithm
    • [cs.LG]The Effect of Training Parameters and Mechanisms on Decentralized Federated Learning based on MNIST Dataset
    • [cs.LG]The Role of Global Labels in Few-Shot Classification and How to Infer Them
    • [cs.LG]Training of deep residual networks with stochastic MG/OPT
    • [cs.LG]Training very large scale nonlinear SVMs using Alternating Direction Method of Multipliers coupled with the Hierarchically Semi-Separable kernel approximations
    • [cs.LG]Unified Regularity Measures for Sample-wise Learning and Generalization
    • [cs.LG]Unifying Heterogenous Electronic Health Records Systems via Text-Based Code Embedding
    • [cs.LG]Using Biological Variables and Social Determinants to Predict Malaria and Anemia among Children in Senegal
    • [cs.LG]Whittle Index for A Class of Restless Bandits with Imperfect Observations
    • [cs.MM]Scaling New Peaks: A Viewership-centric Approach to Automated Content Curation
    • [cs.NE]BenchENAS: A Benchmarking Platform for Evolutionary Neural Architecture Search
    • [cs.NI]Machine Learning Assisted Security Analysis of 5G-Network-Connected Systems
    • [cs.RO]3D Human Reconstruction in the Wild with Collaborative Aerial Cameras
    • [cs.RO]Active Visuo-Tactile Point Cloud Registration for Accurate Pose Estimation of Objects in an Unknown Workspace
    • [cs.RO]Arduino Controlled Spy Robo Car using Wireless Camera With live Streaming
    • [cs.RO]BEHAVIOR: Benchmark for Everyday Household Activities in Virtual, Interactive, and Ecological Environments
    • [cs.RO]Design and Experimental Evaluation of a Hierarchical Controller for an Autonomous Ground Vehicle with Large Uncertainties
    • [cs.RO]Dynamic Balancing of Humanoid Robot Walker3 with Proprioceptive Actuation: Systematic Design of Algorithm, Software and Hardware
    • [cs.RO]Global-Position Tracking Control of 3-D Bipedal Walking via Virtual Constraint Design and Multiple Lyapunov Analysis
    • [cs.RO]IGibson 2.0: Object-Centric Simulation for Robot Learning of Everyday Household Tasks
    • [cs.RO]Long-Horizon Manipulation of Unknown Objects via Task and Motion Planning with Estimated Affordances
    • [cs.RO]Mapless Humanoid Navigation Using Learned Latent Dynamics
    • [cs.RO]Model-free online motion adaptation for energy efficient flights of multicopters
    • [cs.RO]Multi-Robot Path Planning in Complex Environments via Graph Embedding
    • [cs.RO]OHPL: One-shot Hand-eye Policy Learner
    • [cs.RO]Organization and Understanding of a Tactile Information Dataset TacAct For Physical Human-Robot Interaction
    • [cs.RO]Real-time Geo-localization Using Satellite Imagery and Topography for Unmanned Aerial Vehicles
    • [cs.RO]Safe Vessel Navigation Visually Aided by Autonomous Unmanned Aerial Vehicles in Congested Harbors and Waterways
    • [cs.RO]Semantic-Based Explainable AI: Leveraging Semantic Scene Graphs and Pairwise Ranking to Explain Robot Failures
    • [cs.RO]Situated Live Programming for Human-Robot Collaboration
    • [cs.RO]TOKCS: Tool for Organizing Key Characteristics of VAM-HRI Systems
    • [cs.RO]Unknown Object Segmentation through Domain Adaptation
    • [cs.RO]Utilizing the RRT*-Algorithm for Collision Avoidance in UAV Photogrammetry Missions
    • [cs.RO]What Matters in Learning from Offline Human Demonstrations for Robot Manipulation
    • [cs.SD]A Unified Model for Zero-shot Music Source Separation, Transcription and Synthesis
    • [cs.SD]Audio Spectral Enhancement: Leveraging Autoencoders for Low Latency Reconstruction of Long, Lossy Audio Sequences
    • [cs.SD]Cough Detection Using Selected Informative Features from Audio Signals
    • [cs.SD]Segmentation-free Heart Pathology Detection Using Deep Learning
    • [cs.SD]Time-Frequency Localization Using Deep Convolutional Maxout Neural Network in Persian Speech Recognition
    • [cs.SE]Exploring the potential of flow-based programming for machine learning deployment in comparison with service-oriented architectures
    • [cs.SE]Tackling Consistency-related Design Challenges of Distributed Data-Intensive Systems - An Action Research Study
    • [cs.SI]#StayHome or #Marathon? Social Media Enhanced Pandemic Surveillance on Spatial-temporal Dynamic Graphs
    • [cs.SI]Influence Maximization in Social Networks: A Survey of Behaviour-Aware Methods
    • [cs.SI]Learning to Detect Few-Shot-Few-Clue Misinformation
    • [cs.SI]Proof-of-Reputation: An Alternative Consensus Mechanism for Blockchain Systems
    • [cs.SI]Recurrent Graph Neural Networks for Rumor Detection in Online Forums
    • [cs.SI]Topic X-ray
    • [econ.EM]A Theoretical Analysis of Logistic Regression and Bayesian Classifiers
    • [econ.EM]Culling the herd of moments with penalized empirical likelihood
    • [econ.EM]Fully Modified Least Squares Cointegrating Parameter Estimation in Multicointegrated Systems
    • [econ.EM]Improving Inference from Simple Instruments through Compliance Estimation
    • [econ.EM]Unbottling the Gini: New Tools from an Old Concept
    • [econ.GN]Visualizing Income Distribution in the United States
    • [eess.AS]A Streamwise GAN Vocoder for Wideband Speech Coding at Very Low Bit Rate
    • [eess.AS]BeatNet: CRNN and Particle Filtering for Online Joint Beat Downbeat and Meter Tracking
    • [eess.SP]Efficient Majority Voting in Digital Hardware
    • [eess.SP]Mean-square Analysis of the NLMS Algorithm
    • [eess.SP]Multiscale Wavelet Transfer Entropy with Application to Corticomuscular Coupling Analysis
    • [eess.SY]A Credibility-aware Swarm-Federated Deep Learning Framework in Internet of Vehicles
    • [eess.SY]Event-driven Vision and Control for UAVs on a Neuromorphic Chip
    • [eess.SY]Generalizing Dynamic Mode Decomposition: Balancing Accuracy and Expressiveness in Koopman Approximations
    • [eess.SY]Reachability Analysis of Neural Feedback Loops
    • [math.NA]Image reconstruction in light-sheet microscopy: spatially varying deconvolution and mixed noise
    • [math.OC]Apportionment with Parity Constraints
    • [math.RA]A gradient method for inconsistency reduction of pairwise comparisons matrices
    • [math.ST]Wavelet eigenvalue regression in high dimensions
    • [physics.soc-ph]Estimating Active Cases of COVID-19
    • [physics.soc-ph]Forecasting racial dynamics at the neighborhood scale using Density-functional Fluctuation Theory
    • [physics.soc-ph]Team Power and Hierarchy: Understanding Team Success
    • [q-bio.QM]A k-mer Based Approach for SARS-CoV-2 Variant Identification
    • [q-bio.QM]Classification and Visualization of Genotype x Phenotype Interactions in Biomass Sorghum
    • [quant-ph]Incompatibility between ‘t Hooft’s and Wolfram’s models of quantum mechanics
    • [stat.AP]An Interpretable Probabilistic Model for Short-Term Solar Power Forecasting Using Natural Gradient Boosting
    • [stat.AP]Kinematics clustering enables head impact subtyping for better traumatic brain injury prediction
    • [stat.AP]Predicting Credit Default Probabilities Using Bayesian Statistics and Monte Carlo Simulations
    • [stat.CO]A Bayesian Nonparametric Estimation of Mutual Information
    • [stat.CO]Discussion: “Bayesian Optimal Design of Experiments for Inferring the Statistical Expectation of Expensive Black-Box Functions” (Pandita, P., Bilionis, I., and Panchal, J., 2019. ASME. J. Mech. Des. 141(10):
    1000
    101404)
    • [stat.CO]Regularized Maximum Likelihood Estimation for the Random Coefficients Model in Python
    • [stat.ME]Bayesian 今日学术视野(2021.8.11) - 图1 regression
    • [stat.ME]Bayesian Analysis of Sparse Multivariate Matched Proportions
    • [stat.ME]Controlling for Unmeasured Confounding in Panel Data Using Minimal Bridge Functions: From Two-Way Fixed Effects to Factor Models
    • [stat.ME]Cumulative differences between subpopulations
    • [stat.ME]Estimating Graph Dimension with Cross-validated Eigenvalues
    • [stat.ME]Estimating populational-average hazard ratios in the presence of unmeasured confounding
    • [stat.ME]Guaranteed Functional Tensor Singular Value Decomposition
    • [stat.ME]Identification in Bayesian Estimation of the Skewness Matrix in a Multivariate Skew-Elliptical Distribution
    • [stat.ME]Model choice and parameter inference in controlled branching processes
    • [stat.ME]Multi-Target Tracking with Dependent Likelihood Structures in Labeled Random Finite Set Filters
    • [stat.ME]Resurrecting the One-Sided P-value as a Likelihood Ratio
    • [stat.ME]Scalable Bayesian transport maps for high-dimensional non-Gaussian spatial fields
    • [stat.ML]Clustering Large Data Sets with Incremental Estimation of Low-density Separating Hyperplanes
    • [stat.ML]Johnson-Lindenstrauss Lemma, Linear and Nonlinear Random Projections, Random Fourier Features, and Random Kitchen Sinks: Tutorial and Survey
    • [stat.ML]Online Bootstrap Inference For Policy Evaluation in Reinforcement Learning
    • [stat.ML]Pathfinder: Parallel quasi-Newton variational inference
    • [stat.ML]Uncertainty quantification for industrial design using dictionaries of reduced order models
    • [stat.OT]On the role of data, statistics and decisions in a pandemic

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

    • [cond-mat.stat-mech]Unsupervised learning of anomalous diffusion data
    Gorka Muñoz-Gil, Guillem Guigó i Corominas, Maciej Lewenstein
    http://arxiv.org/abs/2108.03411v1

    • [cs
    95f
    .CV]TransForensics: Image Forgery Localization with Dense Self-Attention
    Jing Hao, Zhixin Zhang, Shicai Yang, Di Xie, Shiliang Pu
    http://arxiv.org/abs/2108.03871v1

    • [cs.AI]“What makes my queries slow?”: Subgroup Discovery for SQL Workload Analysis
    Youcef Remil, Anes Bendimerad, Romain Mathonat, Philippe Chaleat, Mehdi Kaytoue
    http://arxiv.org/abs/2108.03906v1

    • [cs.AI]A Concise Function Representation for Faster Exact MPE and Constrained Optimisation in Graphical Models
    Filippo Bistaffa
    http://arxiv.org/abs/2108.03899v1

    • [cs.AI]A Logical Characterization of the Preferred Models of Logic Programs with Ordered Disjunction
    Angelos Charalambidis, Panos Rondogiannis, Antonis Troumpoukis
    http://arxiv.org/abs/2108.03369v1

    • [cs.AI]Artificial Intelligence-Driven Customized Manufacturing Factory: Key Technologies, Applications, and Challenges
    Jiafu Wan, Xiaomin Li, Hong-Ning Dai, Andrew Kusiak, Miguel Martínez-García, Di Li
    http://arxiv.org/abs/2108.03383v1

    • [cs.AI]Bob and Alice Go to a Bar: Reasoning About Future With Probabilistic Programs
    David Tolpin, Tomer Dobkin
    http://arxiv.org/abs/2108.03834v1

    • [cs.AI]Deep Convolutional Neural Network for Low Projection SPECT Imaging Reconstruction
    Charalambos Chrysostomou, Loizos Koutsantonis, Christos Lemesios, Costas N. Papanicolas
    http://arxiv.org/abs/2108.03897v1

    • [cs.AI]Development of Human Motion Prediction Strategy using Inception Residual Block
    Shekhar Gupta, Gaurav Kumar Yadav, G. C. Nandi
    http://arxiv.org/abs/2108.04001v1

    • [cs.AI]DySR: A Dynamic Representation Learning and Aligning based Model for Service Bundle Recommendation
    Mingyi Liu, Zhiying Tu, Xiaofei Xu, Zhongjie Wang
    http://arxiv.org/abs/2108.03360v1

    • [cs.AI]FOLASP: FO(.) as Input Language for Answer Ser Solvers
    Kylian Van Dessel, Jo Devriendt, Joost Vennekens
    http://arxiv.org/abs/2108.04020v1

    • [cs.AI]GAN Computers Generate Arts? A Survey on Visual Arts, Music, and Literary Text Generation using Generative Adversarial Network
    Sakib Shahriar
    http://arxiv.org/abs/2108.03857v1

    • [cs.AI]Harnessing Incremental Answer Set Solving for Reasoning in Assumption-Based Argumentation
    Tuomo Lehtonen, Johannes P. Wallner, Matti Järvisalo
    http://arxiv.org/abs/2108.04192v1

    • [cs.AI]Identification of Play Styles in Universal Fighting Engine
    Kaori Yuda, Shota Kamei, Riku Tanji, Ryoya Ito, Ippo Wakana, Maxim Mozgovoy
    http://arxiv.org/abs/2108.03599v1

    • [cs.AI]Improving Similar Language Translation With Transfer Learning
    Ife Adebara, Muhammad Abdul-Mageed
    http://arxiv.org/abs/2108.03533v1

    • [cs.AI]Knowledge accumulating: The general pattern of learning
    Zhuoran Xu, Hao Liu
    http://arxiv.org/abs/2108.03988v1

    • [cs.AI]Learning Proxemic Behavior Using Reinforcement Learning with Cognitive Agents
    Cristian Millán-Arias, Bruno Fernandes, Francisco Cruz
    http://arxiv.org/abs/2108.03730v1

    • [cs.AI]Modal Logic S5 Satisfiability in Answer Set Programming
    Mario Alviano, Sotiris Batsakis, George Baryannis
    http://arxiv.org/abs/2108.04194v1

    • [cs.AI]Modified Double DQN: addressing stability
    Shervin Halat, Mohammad Mehdi Ebadzadeh
    http://arxiv.org/abs/2108.04115v1

    • [cs.AI]Multi-View TRGRU: Transformer based Spatiotemporal Model for Short-Term Metro Origin-Destination Matrix Prediction
    Jiexia Ye, Furong Zheng, Juanjuan Zhao, Kejiang Ye, Chengzhong Xu
    http://arxiv.org/abs/2108.03900v1

    • [cs.AI]Rethinking of AlphaStar
    Ruo-Ze Liu
    http://arxiv.org/abs/2108.03452v1

    • [cs.AI]SPECT Angle Interpolation Based on Deep Learning Methodologies
    Charalambos Chrysostomou, Loizos Koutsantonis, Christos Lemesios, Costas N. Papanicolas
    http://arxiv.org/abs/2108.03890v1

    • [cs.AI]Semantic Tracklets: An Object-Centric Representation for Visual Multi-Agent Reinforcement Learning
    Iou-Jen Liu, Zhongzheng Ren, Raymond A. Yeh, Alexander G. Schwing
    http://arxiv.org/abs/2108.03319v1

    • [cs.AI]Sinogram Denoise Based on Generative Adversarial Networks
    Charalambos Chrysostomou
    http://arxiv.org/abs/2108.03903v1

    • [cs.AI]Solution Enumeration by Optimality in Answer Set Programming
    Jukka Pajunen, Tomi Janhunen
    http://arxiv.org/abs/2108.03474v1

    • [cs.AI]Spatial-Temporal Deep Intention Destination Networks for Online Travel Planning
    Yu Li, Fei Xiong, Ziyi Wang, Zulong Chen, Chuanfei Xu, Yuyu Yin, Li Zhou
    http://arxiv.org/abs/2108.03989v1

    • [cs.AI]Symptom based Hierarchical Classification of Diabetes and Thyroid disorders using Fuzzy Cognitive Maps
    Anand M. Shukla, Pooja D. Pandit, Vasudev M. Purandare, Anuradha Srinivasaraghavan
    http://arxiv.org/abs/2108.03760v1

    • [cs.AI]Toward Human-Level Artificial Intelligence
    Deokgun Park
    http://arxiv.org/abs/2108.03793v1

    • [cs.AI]Vision Transformers for femur fracture classification
    Leonardo Tanzi, Andrea Audisio, Giansalvo Cirrincione, Alessandro Aprato, Enrico Vezzetti
    http://arxiv.org/abs/2108.03414v1

    • [cs.AI]What a million Indian farmers say?: A crowdsourcing-based method for pest surveillance
    Poonam Adhikari, Ritesh Kumar, S. R. S Iyengar, Rishemjit Kaur
    http://arxiv.org/abs/2108.03374v1

    • [cs.AR]VeRLPy: Python Library for Verification of Digital Designs with Reinforcement Learning
    Aebel Joe Shibu, Sadhana S, Shilpa N, Pratyush Kumar
    http://arxiv.org/abs/2108.03978v1

    • [cs.CL]A Neural Approach for Detecting Morphological Analogies
    Safa Alsaidi, Amandine Decker, Puthineath Lay, Esteban Marquer, Pierre-Alexandre Murena, Miguel Couceiro
    http://arxiv.org/abs/2108.03945v1

    • [cs.CL]An empirical assessment of deep learning approaches to task-oriented dialog management
    Lukáš Matějů, David Griol, Zoraida Callejas, José Manuel Molina, Araceli Sanchis
    http://arxiv.org/abs/2108.03478v1

    • [cs.CL]BERT-based distractor generation for Swedish reading comprehension questions using a small-scale dataset
    Dmytro Kalpakchi, Johan Boye
    http://arxiv.org/abs/2108.03973v1

    • [cs.CL]Controllable Summarization with Constrained Markov Decision Process
    Hou Pong Chan, Lu Wang, Irwin King
    http://arxiv.org/abs/2108.03405v1

    • [cs.CL]Do Images really do the Talking? Analysing the significance of Images in Tamil Troll meme classification
    Siddhanth U Hegde, Adeep Hande, Ruba Priyadharshini, Sajeetha Thavareesan, Ratnasingam Sakuntharaj, Sathiyaraj Thangasamy, B Bharathi, Bharathi Raja Chakravarthi
    http://arxiv.org/abs/2108.03886v1

    • [cs.CL]Encoding Heterogeneous Social and Political Context for Entity Stance Prediction
    Shangbin Feng, Zilong Chen, Peisheng Yu, Minnan Luo
    http://arxiv.org/abs/2108.03881v1

    • [cs.CL]Facebook AI WMT21 News Translation Task Submission
    Chau Tran, Shruti Bhosale, James Cross, Philipp Koehn, Sergey Edunov, Angela Fan
    http://arxiv.org/abs/2108.03265v1

    • [cs.CL]Fine-tuning GPT-3 for Russian Text Summarization
    Alexandr Nikolich, Arina Puchkova
    http://arxiv.org/abs/2108.03502v1

    • [cs.CL]Generating Personalized Dialogue via Multi-Task Meta-Learning
    Jing Yang Lee, Kong Aik Lee, Woon Seng Gan
    http://arxiv.org/abs/2108.03377v1

    • [cs.CL]Is it Fake? News Disinformation Detection on South African News Websites
    Harm de Wet, Vukosi Marivate
    http://arxiv.org/abs/2108.02941v2

    • [cs.CL]Knowledge Graph Augmented Political Perspective Detection in News Media
    Shangbin Feng, Zilong Chen, Qingyao Li, Minnan Luo
    http://arxiv.org/abs/2108.03861v1

    • [cs.CL]Language Model Evaluation in Open-ended Text Generation
    An Nguyen
    http://arxiv.org/abs/2108.03578v1

    • [cs.CL]Leveraging Commonsense Knowledge on Classifying False News and Determining Checkworthiness of Claims
    Ipek Baris Schlicht, Erhan Sezerer, Selma Tekir, Oul Han, Zeyd Boukhers
    http://arxiv.org/abs/2108.03731v1

    • [cs.CL]Machine Translation of Low-Resource Indo-European Languages
    Wei-Rui Chen, Muhammad Abdul-Mageed
    http://arxiv.org/abs/2108.03739v1

    • [cs.CL]Multi-modal Retrieval of Tables and Texts Using Tri-encoder Models
    Bogdan Kostić, Julian Risch, Timo Möller
    http://arxiv.org/abs/2108.04049v1

    • [cs.CL]Multilingual Compositional Wikidata Questions
    Ruixiang Cui, Rahul Aralikatte, Heather Lent, Daniel Hershcovich
    http://arxiv.org/abs/2108.03509v1

    • [cs.CL]Noisy Channel Language Model Prompting for Few-Shot Text Classification
    Sewon Min, Mike Lewis, Hannaneh Hajishirzi, Luke Zettlemoyer
    http://arxiv.org/abs/2108.04106v1

    • [cs.CL]Not quite there yet: Combining analogical patterns and encoder-decoder networks for cognitively plausible inflection
    Basilio Calderone, Nabil Hathout, Olivier Bonami
    http://arxiv.org/abs/2108.03968v1

    • [cs.CL]Offensive Language and Hate Speech Detection with Deep Learning and Transfer Learning
    Bencheng Wei, Jason Li, Ajay Gupta, Hafiza Umair, Atsu Vovor, Natalie Durzynski
    http://arxiv.org/abs/2108.03305v1

    • [cs.CL]On the Transferability of Neural Models of Morphological Analogies
    Safa Alsaidi, Amandine Decker, Puthineath Lay, Esteban Marquer, Pierre-Alexandre Murena, Miguel Couceiro
    http://arxiv.org/abs/2108.03938v1

    • [cs.CL]The HW-TSC’s Offline Speech Translation Systems for IWSLT 2021 Evaluation
    Minghan Wang, Yuxia Wang, Chang Su, Jiaxin Guo, Yingtao Zhang, Yujia Liu, Min Zhang, Shimin Tao, Xingshan Zeng, Liangyou Li, Hao Yang, Ying Qin
    http://arxiv.org/abs/2108.03845v1

    • [cs.CL]Tiny Neural Models for Seq2Seq
    Arun Kandoor
    http://arxiv.org/abs/2108.03340v1

    • [cs.CL]Towards Zero-shot Language Modeling
    Edoardo Maria Ponti, Ivan Vulić, Ryan Cotterell, Roi Reichart, Anna Korhonen
    http://arxiv.org/abs/2108.03334v1

    • [cs.CL]What do Bias Measures Measure?
    Sunipa Dev, Emily Sheng, Jieyu Zhao, Jiao Sun, Yu Hou, Mattie Sanseverino, Jiin Kim, Nanyun Peng, Kai-Wei Chang
    http://arxiv.org/abs/2108.03362v1

    • [cs.CR]Secure Neuroimaging Analysis using Federated Learning with Homomorphic Encryption
    Dimitris Stripelis, Hamza Saleem, Tanmay Ghai, Nikhil Dhinagar, Umang Gupta, Chrysovalantis Anastasiou, Greg Ver Steeg, Srivatsan Ravi, Muhammad Naveed, Paul M. Thompson, Jose Luis Ambite
    http://arxiv.org/abs/2108.03437v1

    • [cs.CV]A Categorized Reflection Removal Dataset with Diverse Real-world Scenes
    Chenyang Lei, Xuhua Huang, Chenyang Qi, Yankun Zhao, Wenxiu Sun, Qiong Yan, Qifeng Chen
    http://arxiv.org/abs/2108.03380v1

    • [cs.CV]A distillation based approach for the diagnosis of diseases
    Hmrishav Bandyopadhyay, Shuvayan Ghosh Dastidar, Bisakh Mondal, Biplab Banerjee, Nibaran Das
    http://arxiv.org/abs/2108.03470v1

    • [cs.CV]AA-RMVSNet: Adaptive Aggregation Recurrent Multi-view Stereo Network
    Zizhuang Wei, Qingtian Zhu, Chen Min, Yiso
    5beb
    ng Chen, Guoping Wang
    http://arxiv.org/abs/2108.03824v1

    • [cs.CV]AMDet: A Tool for Mitotic Cell Detection in Histopathology Slides
    Walt Williams, Jimmy Hall
    http://arxiv.org/abs/2108.03676v1

    • [cs.CV]AdaAttN: Revisit Attention Mechanism in Arbitrary Neural Style Transfer
    Songhua Liu, Tianwei Lin, Dongliang He, Fu Li, Meiling Wang, Xin Li, Zhengxing Sun, Qian Li, Errui Ding
    http://arxiv.org/abs/2108.03647v1

    • [cs.CV]Alignment of Tractography Streamlines using Deformation Transfer via Parallel Transport
    Andrew Lizarraga, David Lee, Antoni Kubicki, Ashish Sahib, Elvis Nunez, Katherine Narr, Shantanu H. Joshi
    http://arxiv.org/abs/2108.03697v1

    • [cs.CV]An EM Framework for Online Incremental Learning of Semantic Segmentation
    Shipeng Yan, Jiale Zhou, Jiangwei Xie, Songyang Zhang, Xuming He
    http://arxiv.org/abs/2108.03613v1

    • [cs.CV]Anchor-free 3D Single Stage Detector with Mask-Guided Attention for Point Cloud
    Jiale Li, Hang Dai, Ling Shao, Yong Ding
    http://arxiv.org/abs/2108.03634v1

    • [cs.CV]AutoVideo: An Automated Video Action Recognition System
    Daochen Zha, Zaid Pervaiz Bhat, Yi-Wei Chen, Yicheng Wang, Sirui Ding, AnmollKumar Jain, Mohammad Qazim Bhat, Kwei-Herng Lai, Jiaben Chen, Na Zou, Xia Hu
    http://arxiv.org/abs/2108.04212v1

    • [cs.CV]BIGRoC: Boosting Image Generation via a Robust Classifier
    Roy Ganz, Michael Elad
    http://arxiv.org/abs/2108.03702v1

    • [cs.CV]Boundary-aware Graph Reasoning for Semantic Segmentation
    Haoteng Tang, Haozhe Jia, Weidong Cai, Heng Huang, Yong Xia, Liang Zhan
    http://arxiv.org/abs/2108.03791v1

    • [cs.CV]COVID-view: Diagnosis of COVID-19 using Chest CT
    Shreeraj Jadhav, Gaofeng Deng, Marlene Zawin, Arie E. Kaufman
    http://arxiv.org/abs/2108.03799v1

    • [cs.CV]Complementary Patch for Weakly Supervised Semantic Segmentation
    Fei Zhang, Chaochen Gu, Chenyue Zhang, Yuchao Dai
    http://arxiv.org/abs/2108.03852v1

    • [cs.CV]Context-Aware Mixup for Domain Adaptive Semantic Segmentation
    Qianyu Zhou, Zhengyang Feng, Qiqi Gu, Jiangmiao Pang, Guangliang Cheng, Xuequan Lu, Jianping Shi, Lizhuang Ma
    http://arxiv.org/abs/2108.03557v1

    • [cs.CV]ContinuityLearner: Geometric Continuity Feature Learning for Lane Segmentation
    Haoyu Fang, Jing Zhu, Yi Fang
    http://arxiv.org/abs/2108.03507v1

    • [cs.CV]Contrastive Representation Learning for Rapid Intraoperative Diagnosis of Skull Base Tumors Imaged Using Stimulated Raman Histology
    Cheng Jiang, Abhishek Bhattacharya, Joseph Linzey, Rushikesh Joshi, Sung Jik Cha, Sudharsan Srinivasan, Daniel Alber, Akhil Kondepudi, Esteban Urias, Balaji Pandian, Wajd Al-Holou, Steve Sullivan, B. Gregory Thompson, Jason Heth, Chris Freudiger, Siri Khalsa, Donato Pacione, John G. Golfinos, Sandra Camelo-Piragua, Daniel A. Orringer, Honglak Lee, Todd Hollon
    http://arxiv.org/abs/2108.03555v1

    • [cs.CV]DRINet: A Dual-Representation Iterative Learning Network for Point Cloud Segmentation
    Maosheng Ye, Shuangjie Xu, Tongyi Cao, Qifeng Chen
    http://arxiv.org/abs/2108.04023v1

    • [cs.CV]Deep Learning methods for automatic evaluation of delayed enhancement-MRI. The results of the EMIDEC challenge
    Alain Lalande, Zhihao Chen, Thibaut Pommier, Thomas Decourselle, Abdul Qayyum, Michel Salomon, Dominique Ginhac, Youssef Skandarani, Arnaud Boucher, Khawla Brahim, Marleen de Bruijne, Robin Camarasa, Teresa M. Correia, Xue Feng, Kibrom B. Girum, Anja Hennemuth, Markus Huellebrand, Raabid Hussain, Matthias Ivantsits, Jun Ma, Craig Meyer, Rishabh Sharma, Jixi Shi, Nikolaos V. Tsekos, Marta Varela, Xiyue Wang, Sen Yang, Hannu Zhang, Yichi Zhang, Yuncheng Zhou, Xiahai Zhuang, Raphael Couturier, Fabrice Meriaudeau
    http://arxiv.org/abs/2108.04016v1

    • [cs.CV]DeepFH Segmentations for Superpixel-based Object Proposal Refinement
    Christian Wilms, Simone Frintrop
    http://arxiv.org/abs/2108.03503v1

    • [cs.CV]Deformable Image Registration using Neural ODEs
    Yifan Wu, Tom Z. Jiahao, Jiancong Wang, Paul A. Yushkevich, James C. Gee, M. Ani Hsieh
    http://arxiv.org/abs/2108.03443v1

    • [cs.CV]Detecting Visual Design Principles in Art and Architecture through Deep Convolutional Neural Networks
    Gozdenur Demir, Asli Cekmis, Vahit Bugra Yesilkaynak, Gozde Unal
    http://arxiv.org/abs/2108.04048v1

    • [cs.CV]Discriminative Latent Semantic Graph for Video Captioning
    Yang Bai, Junyan Wang, Yang Long, Bingzhang Hul Yang Song, Maurice Pagnucco, Yu Guan
    http://arxiv.org/abs/2108.03662v1

    • [cs.CV]Disentangled High Quality Salient Object Detection
    Lv Tang, Bo Li, Shouhong Ding, Mofei Song
    http://arxiv.org/abs/2108.03551v1

    • [cs.CV]DistillPose: Lightweight Camera Localization Using Auxiliary Learning
    Yehya Abouelnaga, Mai Bui, Slobodan Ilic
    http://arxiv.org/abs/2108.03819v1

    • [cs.CV]Distributionally Robust Segmentation of Abnormal Fetal Brain 3D MRI
    Lucas Fidon, Michael Aertsen, Nada Mufti, Thomas Deprest, Doaa Emam, Frédéric Guffens, Ernst Schwartz, Michael Ebner, Daniela Prayer, Gregor Kasprian, Anna L. David, Andrew Melbourne, Sébastien Ourselin, Jan Deprest, Georg Langs, Tom Vercauteren
    http://arxiv.org/abs/2108.04175v1

    • [cs.CV]Dynamic Multi-Scale Loss Optimization for Object Detection
    Yihao Luo, Xiang Cao, Juntao Zhang, Peng Cheng, Tianjiang Wang, Qi Feng
    http://arxiv.org/abs/2108.04014v1

    • [cs.CV]Efficient Light Field Reconstruction via Spatio-Angular Dense Network
    Zexi Hu, Henry Wing Fung Yeung, Xiaoming Chen, Yuk Ying Chung, Haisheng Li
    http://arxiv.org/abs/2108.03635v1

    • [cs.CV]Enhanced Invertible Encoding for Learned Image Compression
    Yueqi Xie, Ka Leong Cheng, Qifeng Chen
    http://arxiv.org/abs/2108.03690v1

    • [cs.CV]Enhancing MR Image Segmentation with Realistic Adversarial Data Augmentation
    Chen Chen, Chen Qin, Cheng Ouyang, Shuo Wang, Huaqi Qiu, Liang Chen, Giacomo Tarroni, Wenjia Bai, Daniel Rueckert
    http://arxiv.org/abs/2108.03429v1

    • [cs.CV]FA-GAN: Fused Attentive Generative Adversarial Networks for MRI Image Super-Resolution
    Mingfeng Jiang, Minghao Zhi, Liying Wei, Xiaocheng Yang, Jucheng Zhang, Yongming Li, Pin Wang, Jiahao Huang, Guang Yang
    http://arxiv.org/abs/2108.03920v1

    • [cs.CV]FIFA: Fast Inference Approximation for Action Segmentation
    Yaser Souri, Yazan Abu Farha, Fabien Despinoy, Gianpiero Francesca, Juergen Gall
    http://arxiv.org/abs/2108.03894v1

    • [cs.CV]Feature-Supervised Action Modality Transfer
    Fida Mohammad Thoker, Cees G. M. Snoek
    http://arxiv.org/abs/2108.03329v1

    • [cs.CV]From Voxel to Point: IoU-guided 3D Object Detection for Point Cloud with Voxel-to-Point Decoder
    Jiale Li, Hang Dai, Ling Shao, Yong Ding
    http://arxiv.org/abs/2
    8af
    108.03648v1
    8af
    108.03648v1)

    • [cs.CV]Hierarchical View Predictor: Unsupervised 3D Global Feature Learning through Hierarchical Prediction among Unordered Views
    Zhizhong Han, Xiyang Wang, Yu-Shen Liu, Matthias Zwicker
    http://arxiv.org/abs/2108.03743v1

    • [cs.CV]Image Retrieval on Real-life Images with Pre-trained Vision-and-Language Models
    Zheyuan Liu, Cristian Rodriguez-Opazo, Damien Teney, Stephen Gould
    http://arxiv.org/abs/2108.04024v1

    • [cs.CV]Impact of Aliasing on Generalization in Deep Convolutional Networks
    Cristina Vasconcelos, Hugo Larochelle, Vincent Dumoulin, Rob Romijnders, Nicolas Le Roux, Ross Goroshin
    http://arxiv.org/abs/2108.03489v1

    • [cs.CV]Information Bottleneck Approach to Spatial Attention Learning
    Qiuxia Lai, Yu Li, Ailing Zeng, Minhao Liu, Hanqiu Sun, Qiang Xu
    http://arxiv.org/abs/2108.03418v1

    • [cs.CV]Joint Depth and Normal Estimation from Real-world Time-of-flight Raw Data
    Rongrong Gao, Na Fan, Changlin Li, Wentao Liu, Qifeng Chen
    http://arxiv.org/abs/2108.03649v1

    • [cs.CV]Joint Inductive and Transductive Learning for Video Object Segmentation
    Yunyao Mao, Ning Wang, Wengang Zhou, Houqiang Li
    http://arxiv.org/abs/2108.03679v1

    • [cs.CV]LatticeNet: Fast Spatio-Temporal Point Cloud Segmentation Using Permutohedral Lattices
    Radu Alexandru Rosu, Peer Schütt, Jan Quenzel, Sven Behnke
    http://arxiv.org/abs/2108.03917v1

    • [cs.CV]LeafMask: Towards Greater Accuracy on Leaf Segmentation
    Ruohao Guo, Liao Qu, Dantong Niu, Zhenbo Li, Jun Yue
    http://arxiv.org/abs/2108.03568v1

    • [cs.CV]Learning Facial Representations from the Cycle-consistency of Face
    Jia-Ren Chang, Yong-Sheng Chen, Wei-Chen Chiu
    http://arxiv.org/abs/2108.03427v1

    • [cs.CV]Learning Indoor Layouts from Simple Point-Clouds
    Md. Tareq Mahmood, Mohammed Eunus Ali
    http://arxiv.org/abs/2108.03378v1

    • [cs.CV]Learning Joint Embedding with Modality Alignments for Cross-Modal Retrieval of Recipes and Food Images
    Zhongwei Xie, Ling Liu, Lin Li, Luo Zhong
    http://arxiv.org/abs/2108.03788v1

    • [cs.CV]Learning an Augmented RGB Representation with Cross-Modal Knowledge Distillation for Action Detection
    Rui Dai, Srijan Das, Francois Bremond
    http://arxiv.org/abs/2108.03619v1

    • [cs.CV]MPI: Multi-receptive and Parallel Integration for Salient Object Detection
    Han Sun, Jun Cen, Ningzhong Liu, Dong Liang, Huiyu Zhou
    http://arxiv.org/abs/2108.03618v1

    • [cs.CV]Manifold-Aware Synthesis of High Resolution Diffusion from Structural Imaging
    Benoit Anctil-Robitaille, Antoine Théberge, Pierre-Marc Jodoin, Maxime Descoteaux, Christian Desrosiers, Hervé Lombaert
    http://arxiv.org/abs/2108.04135v1

    • [cs.CV]Meta Gradient Adversarial Attack
    Zheng Yuan, Jie Zhang, Yunpei Jia, Chuanqi Tan, Tao Xue, Shiguang Shan
    http://arxiv.org/abs/2108.04204v1

    • [cs.CV]Monte Carlo DropBlock for Modelling Uncertainty in Object Detection
    Kumari Deepshikha, Sai Harsha Yelleni, P. K. Srijith, C Krishna Mohan
    http://arxiv.org/abs/2108.03614v1

    • [cs.CV]Multi-Slice Net: A novel light weight framework for COVID-19 Diagnosis
    Harshala Gammulle, Tharindu Fernando, Sridha Sridharan, Simon Denman, Clinton Fookes
    http://arxiv.org/abs/2108.03786v1

    • [cs.CV]NASOA: Towards Faster Task-oriented Online Fine-tuning with a Zoo of Models
    Hang Xu, Ning Kang, Gengwei Zhang, Chuanlong Xie, Xiaodan Liang, Zhenguo Li
    http://arxiv.org/abs/2108.03434v1

    • [cs.CV]Neighborhood Consensus Contrastive Learning for Backward-Compatible Representation
    Shengsen Wu, Liang Chen, Yihang Lou, YanBai, Tao Bai, Minghua Deng, Lingyu Duan
    http://arxiv.org/abs/2108.03372v1

    • [cs.CV]NeuralMVS: Bridging Multi-View Stereo and Novel View Synthesis
    Radu Alexandru Rosu, Sven Behnke
    http://arxiv.org/abs/2108.03880v1

    • [cs.CV]No-Reference Image Quality Assessment by Hallucinating Pristine Features
    Baoliang Chen, Lingyu Zhu, Chenqi Kong, Hanwei Zhu, Shiqi Wang, Zhu Li
    http://arxiv.org/abs/2108.04165v1

    • [cs.CV]Novel scorpion detection system combining computer vision and fluorescence
    Francisco Luis Giambelluca, Jorge Osio, Luis A. Giambelluca, Marcelo A. Cappelletti
    http://arxiv.org/abs/2108.04177v1

    • [cs.CV]OSCAR-Net: Object-centric Scene Graph Attention for Image Attribution
    Eric Nguyen, Tu Bui, Vishy Swaminathan, John Collomosse
    http://arxiv.org/abs/2108.03541v1

    • [cs.CV]OVIS: Open-Vocabulary Visual Instance Search via Visual-Semantic Aligned Representation Learning
    Sheng Liu, Kevin Lin, Lijuan Wang, Junsong Yuan, Zicheng Liu
    http://arxiv.org/abs/2108.03704v1

    • [cs.CV]One-Shot Object Affordance Detection in the Wild
    Wei Zhai, Hongchen Luo, Jing Zhang, Yang Cao, Dacheng Tao
    http://arxiv.org/abs/2108.03658v1

    • [cs.CV]P-WAE: Generalized Patch-Wasserstein Autoencoder for Anomaly Screening
    Yurong Chen
    http://arxiv.org/abs/2108.03815v1

    • [cs.CV]PASS: Protected Attribute Suppression System for Mitigating Bias in Face Recognition
    Prithviraj Dhar, Joshua Gleason, Aniket Roy, Carlos D. Castillo, Rama Chellappa
    http://arxiv.org/abs/2108.03764v1

    • [cs.CV]PSGR: Pixel-wise Sparse Graph Reasoning for COVID-19 Pneumonia Segmentation in CT Images
    Haozhe Jia, Haoteng Tang, Guixiang Ma, Weidong Cai, Heng Huang, Liang Zhan, Yong Xia
    http://arxiv.org/abs/2108.03809v1

    • [cs.CV]PSViT: Better Vision Transformer via Token Pooling and Attention Sharing
    Boyu Chen, Peixia Li, Baopu Li, Chuming Li, Lei Bai, Chen Lin, Ming Sun, Junjie Yan, Wanli Ouyang
    http://arxiv.org/abs/2108.03428v1

    • [cs.CV]Paint Transformer: Feed Forward Neural Painting with Stroke Prediction
    Songhua Liu, Tianwei Lin, Dongliang He, Fu Li, Ruifeng Deng, Xin Li, Errui Ding, Hao Wang
    http://arxiv.org/abs/2108.03798v1

    • [cs.CV]Pose is all you need: The pose only group activity recognition system (POGARS)
    Haritha Thilakarathne, Aiden Nibali, Zhen He, Stuart Morgan
    http://arxiv.org/abs/2108.04186v1

    • [cs.CV]RECALL: Replay-based Continual Learning in Semantic Segmentation
    Andrea Maracani, Umberto Michieli, Marco Toldo, Pietro Zanuttigh
    http://arxiv.org/abs/2108.03673v1

    • [cs.CV]Rain Removal and Illumination Enhancement Done in One Go
    Yecong Wan, Yuanshuo Cheng, Mingwen Shao
    http://arxiv.org/abs/2108.03873v1

    • [cs.CV]Reducing Annotating Load: Active Learning with Synthetic Images in Surgical Instrument Segmentation
    Haonan Peng, Shan Lin, Daniel King, Yun-Hsuan Su, Randall A. Bly, Kris S. Moe, Blake Hannaford
    http://arxiv.org/abs/2108.03534v1

    • [cs.CV]Regularizing Nighttime Weirdness: Efficient Self-supervised Monocular Depth Estimation in the Dark
    Kun Wang, Zhenyu Zhang, Zhiqiang Yan, Xiang Li, Baobei Xu, Jun Li, Jian Yang
    http://arxiv.org/abs/2108.03830v1

    • [cs.CV]Saliency-Associated Object Tracking
    Zikun Zhou, Wenjie Pei, Xin Li, Hongpeng Wang, Feng Zheng, Zhenyu He
    http://arxiv.org/abs/2108.03637v1

    • [cs.CV]Selective Light Field Refocusing for Camera Arrays Using Bokeh Rendering and Superresolution
    Yingqian Wang, Jungang Yang, Yulan Guo, Chao Xiao, Wei An
    http://arxiv.org/abs/2108.03918v1

    • [cs.CV]Self-Adversarial Disentangling for Specific Domain Adaptation
    Qianyu Zhou, Qiqi Gu, Jiangmiao Pang, Zhengyang Feng, Guangliang Cheng, Xuequan Lu, Jianping Shi, Lizhuang Ma
    http://arxiv.org/abs/2108.03553v1

    • [cs.CV]Self-supervised Learning of Occlusion Aware Flow Guided 3D Geometry Perception with Adaptive Cross Weighted Loss from Monocular Videos
    Jiaojiao Fang, Guizhong Liu
    http://arxiv.org/abs/2108.03893v1

    • [cs.CV]Skeleton-Contrastive 3D Action Representation Learning
    Fida Mohammad Thoker, Hazel Doughty, Cees G. M. Snoek
    http://arxiv.org/abs/2108.03656v1

    • [cs.CV]Spatio-Temporal Attention Mechanism and Knowledge Distillation for Lip Reading
    Shahd Elashmawy, Marian Ramsis, Hesham M. Eraqi, Farah Eldeshnawy, Hadeel Mabrouk, Omar Abugabal, Nourhan Sakr
    http://arxiv.org/abs/2108.03543v1

    • [cs.CV]Stereo Waterdrop Removal with Row-wise Dilated Attention
    Zifan Shi, Na Fan, Dit-Yan Yeung, Qifeng Chen
    http://arxiv.org/abs/2108.03457v1

    • [cs.CV]Temporal Action Localization Using Gated Recurrent Units
    Hassan Keshvari Khojasteh, Hoda Mohammadzade, Hamid Behroozi
    http://arxiv.org/abs/2108.03375v1

    • [cs.CV]Tensor Yard: One-Shot Algorithm of Hardware-Friendly Tensor-Train Decomposition for Convolutional Neural Networks
    Anuar Taskynov, Vladimir Korviakov, Ivan Mazurenko, Yepan Xiong
    http://arxiv.org/abs/2108.04029v1

    • [cs.CV]Towards Discriminative Representation Learning for Unsupervised Person Re-identification
    Takashi Isobe, Dong Li, Lu Tian, Weihua Chen, Yi Shan, Shengjin Wang
    http://arxiv.org/abs/2108.03439v1

    • [cs.CV]Towards to Robust and Generalized Medical Image Segmentation Framework
    Yurong Chen
    http://arxiv.org/abs/2108.03823v1

    • [cs.CV]Transductive Few-Shot Classification on the Oblique Manifold
    Guodong Qi, Huimin Yu, Zhaohui Lu, Shuzhao Li
    http://arxiv.org/abs/2108.04009v1

    • [cs.CV]Transfer Learning Gaussian Anomaly Detection by Fine-Tuning Representations
    Oliver Rippel, Arnav Chavan, Chucai Lei, Dorit Merhof
    http://arxiv.org/abs/2108.04116v1

    • [cs.CV]TriTransNet: RGB-D Salient Object Detection with a Triplet Transformer Embedding Network
    Zhengyi Liu, Yuan Wang, Zhengzheng Tu, Yun Xiao, Bin Tang
    http://arxiv.org/abs/2108.03990v1

    • [cs.CV]Triplet Contrastive Learning for Brain Tumor Classification
    Tian Yu Liu, Jiashi Feng
    http://arxiv.org/abs/2108.03611v1

    • [cs.CV]Two-stream Convolutional Networks for Multi-frame Face Anti-spoofing
    Zhuoyi Zhang, Cheng Jiang, Xiya Zhong, Chang Song, Yifeng Zhang
    http://arxiv.org/abs/2108.04032v1

    • [cs.CV]Understanding the computational demands underlying visual reasoning
    Mohit Vaishnav, Remi Cadene, Andrea Alamia, Drew Linsley, Rufin VanRullen, Thomas Serre
    http://arxiv.org/abs/2108.03603v1

    • [cs.CV]Unsupervised Learning of Fine Structure Generation for 3D Point Clouds by 2D Projection Matching
    Chen Chao, Zhizhong Han, Yu-Shen Liu, Matthias Zwicker
    http://arxiv.org/abs/2108.03746v1

    • [cs.CV]Unsupervised Portrait Shadow Removal via Generative Priors
    Yingqing He, Yazhou Xing, Tianjia Zhang, Qifeng Chen
    http://arxiv.org/abs/2108.03466v1

    • [cs.CV]Using Deep Learning for Visual Decoding and Reconstruction from Brain Activity: A Review
    Madison Van Horn
    http://arxiv.org/abs/2108.04169v1

    • [cs.CV]Video Annotation for Visual Tracking via Selection and Refinement
    Kenan Dai, Jie Zhao, Lijun Wang, Dong Wang, Jianhua Li, Huchuan Lu, Xuesheng Qian, Xiaoyun Yang
    http://arxiv.org/abs/2108.03821v1

    • [cs.CV]Visible Watermark Removal via Self-calibrated Localization and Background Refinement
    Jing Liang, Li Niu, Fengjun Guo, Teng Long, Liqing Zhang
    http://arxiv.org/abs/2108.03581v1

    • [cs.CV]Weakly-Supervised Spatio-Temporal Anomaly Detection in Surveillance Video
    Jie Wu, Wei Zhang, Guanbin Li, Wenhao Wu, Xiao Tan, Yingying Li, Errui Ding, Liang Lin
    http://arxiv.org/abs/2108.03825v1

    • [cs.CV]WideCaps: A Wide Attention based Capsule Network for Image Classification
    Pawan S J, Rishi Sharma, Hemanth Sai Ram Reddy, M Vani, Jeny Rajan
    http://arxiv.org/abs/2108.03627v1

    • [cs.CV]Zero in on Shape: A Generic 2D-3D Instance Similarity Metric learned from Synthetic Data
    Maciej Janik, Niklas Gard, Anna Hilsmann, Peter Eisert
    http://arxiv.org/abs/2108.04091v1

    • [cs.CV]ZiGAN: Fine-grained Chinese Calligraphy Font Generation via a Few-shot Style Transfer Approach
    Qi Wen, Shuang Li, Bingfeng Han, Yi Yuan
    http://arxiv.org/abs/2108.03596v1

    • [cs.CY]Data Analysis: Communicating with Offshore Vendors using Instant Messaging Services
    Jongkil Jay Jeong
    http://arxiv.org/abs/2108.03560v1

    • [cs.CY]Experiences with the Introduction of AI-based Tools for Moderation Automation of Voice-based Participatory Media Forums
    Aman Khullar, Paramita Panjal, Rachit Pandey, Abhishek Burnwal, Prashit Raj, Ankit Akash Jha, Priyadarshi Hitesh, R Jayanth Reddy, Himanshu, Aaditeshwar Seth
    http://arxiv.org/abs/2108.04208v1

    • [cs.CY]Piloting a Game Jam in Nigeria to Support Empathy and Compassion
    Karen Schrier, Eugene Ohu, Ikeola Bodunde, Morenike Alugo, Cynthia Emami, Adeola Babatunde
    http://arxiv.org/abs/2108.03475v1

    • [cs.CY]Success in IT offshoring: Does it depend on the location or the company?
    Jongkil Jay Jeong
    http://arxiv.org/abs/2108.03559v1

    • [cs.CY]The State of AI Ethics Report (Volume 5)
    Abhishek Gupta, Connor Wright, Marianna Bergamaschi Ganapini, Masa Sweidan, Renjie Butalid
    http://arxiv.org/abs/2108.03929v1

    • [cs.DC]A High Throughput Parallel Hash Table on FPGA using XOR-based Memory
    Ruizhi Zhang, Sasindu Wijeratne, Yang Yang, Sanmukh R. Kuppannagari, Viktor K. Prasanna
    http://arxiv.org/abs/2108.03390v1

    • [cs.DC]Asymmetry-aware Scalable Locking
    Nian Liu, Jinyu Gu, Dahai Tang, Kenli Li, Binyu Zang, Haibo Chen
    http://arxiv.org/abs/2108.03355v1

    • [cs.DC]Building Analytics Pipelines for Querying Big Streams and Data Histories with H-STREAM
    Genoveva Vargas-Solar, Javier A. Espinosa-Oviedo
    http://arxiv.org/abs/2108.03485v1

    • [cs.DC]Clio: A Hardware-Software Co-Designed Disaggregated Memory System
    Zhiyuan Guo, Yizhou Shan, Xuhao Luo, Yutong Huang, Yiying Zhang
    http://arxiv.org/abs/2108.03492v1

    • [cs.DC]FliT: A Library for Simple and Efficient Persistent Algorithms
    Yuanhao Wei, Naama Ben-David, Michal Friedman, Guy E. Blelloch, Erez Petrank
    http://arxiv.org/abs/2108.04202v1

    • [cs.DC]From Domain-Specific Languages to Memory-Optimized Accelerators for Fluid Dynamics
    Karl F. A. Friebel, Stephanie Soldavini, Gerald Hempel, Christian Pilato, Jeronimo Castrillon
    http://arxiv.org/abs/2108.03326v1

    • [cs.DC]Master Graduation Thesis: A Lightweight and Distributed Container-based Framework
    Qifan Deng, Rajkumar Buyya
    http://arxiv.org/abs/2108.03562v1

    • [cs.DC]Online Evolutionary Batch Size Orchestration for Scheduling Deep Learning Workloads in GPU Clusters
    Zhengda Bian, Shenggui Li, Wei Wang, Yang You
    http://arxiv.org/abs/2108.03645v1

    • [cs.DC]Preparing for Performance Analysis at Exascale
    Jonathon Anderson, Yumeng Liu, John Mellor-Crummey
    http://arxiv.org/abs/2108.04002v1

    • [cs.DL]Profiling Web Archival Voids for Memento Routing
    Sawood Alam, Michele C. Weigle, Michael L. Nelson
    http://arxiv.org/abs/2108.03311v1

    • [cs.DS]Deterministic Massively Parallel Connectivity
    Sam Coy, Artur Czumaj
    http://arxiv.org/abs/2108.04102v1

    • [cs.GR]Learning Foveated Reconstruction to Preserve Perceived Image Statistics
    Luca Surace, Marek Wernikowski, Okan Tursun, Karol Myszkowski, Radosław Mantiuk, Piotr Didyk
    http://arxiv.org/abs/2108.03499v1

    • [cs.HC]HelpViz: Automatic Generation of Contextual Visual MobileTutorials from Text-Based Instructions
    Mingyuan Zhong, Gang Li, Peggy Chi, Yang Li
    http://arxiv.org/abs/2108.03356v1

    • [cs.HC]Screen2Words: Automatic Mobile UI Summarization with Multimodal Learning
    Bryan Wang, Gang Li, Xin Zhou, Zhourong Chen, Tovi Grossman, Yang Li
    http://arxiv.org/abs/2108.03353v1

    • [cs.IR]A Survey on Cross-domain Recommendation: Taxonomies, Methods, and Future Directions
    Tianzi Zang, Yanmin Zhu, Haobing Liu, Ruohan Zhang, Jiadi Yu
    http://arxiv.org/abs/2108.03357v1

    • [cs.IR]DGEM: A New Dual-modal Graph Embedding Method in Recommendation System
    Huimin Zhou, Qing Li, Yong Jiang, Rongwei Yang, Zhuyun Qi
    http://arxiv.org/abs/2108.04031v1

    • [cs.IR]Distilling Transformers for Neural Cross-Domain Search
    Colin B. Clement, Chen Wu, Dawn Drain, Neel Sundaresan
    http://arxiv.org/abs/2108.03322v1

    • [cs.IR]DoSSIER@COLIEE 2021: Leveraging dense retrieval and summarization-based re-ranking for case law retrieval
    Sophia Althammer, Arian Askari, Suzan Verberne, Allan Hanbury
    http://arxiv.org/abs/2108.03937v1

    • [cs.IR]IntenT5: Search Result Diversification using Causal Language Models
    Sean MacAvaney, Craig Macdonald, Roderick Murray-Smith, Iadh Ounis
    http://arxiv.org/abs/2108.04026v1

    • [cs.IR]Learning to Represent Human Motives for Goal-directed Web Browsing
    Jyun-Yu Jiang, Chia-Jung Lee, Longqi Yang, Bahareh Sarrafzadeh, Brent Hecht, Jaime Teevan
    http://arxiv.org/abs/2108.03350v1

    • [cs.IR]PoolRank: Max/Min Pooling-based Ranking Loss for Listwise Learning & Ranking Balance
    Zhizhong Chen, Carsten Eickhoff
    http://arxiv.org/abs/2108.03586v1

    • [cs.IR]Unbiased Cascade Bandits: Mitigating Exposure Bias in Online Learning to Rank Recommendation
    Masoud Mansoury, Himan Abdollahpouri, Bamshad Mobasher, Mykola Pechenizkiy, Robin Burke, Milad Sabouri
    http://arxiv.org/abs/2108.03440v1

    • [cs.IT]A Database of Quantum Codes
    Nuh Aydin, Peihan Liu, Bryan Yoshino
    http://arxiv.org/abs/2108.03567v1

    • [cs.IT]Covert, Low-Delay, Coded Message Passing in Mobile (IoT) Networks
    Pei Peng, Emina Soljanin
    http://arxiv.org/abs/2108.03530v1

    • [cs.IT]Deep Learning Based Antenna-time Domain Channel Extrapolation for Hybrid mmWave Massive MIMO
    Shunbo Zhang, Shun Zhang, Jianpeng Ma, Tian Liu, Octavia A. Dobre
    http://arxiv.org/abs/2108.03941v1

    • [cs.IT]Enabling Plug-and-Play and Crowdsourcing SLAM in Wireless Communication Systems
    Jie Yang, Chao-Kai Wen, Shi Jin, Xiao Li
    http://arxiv.org/abs/2108.03609v1

    • [cs.IT]Error Performance of Uplink SIMO-NOMA with Joint Maximum-Likelihood and Adaptive M-PSK
    Hichem Semira, Ferdi Kara
    http://arxiv.org/abs/2108.03493v1

    • [cs.IT]On the Computational Complexity of Determining Value
    Tiasa Mondol
    http://arxiv.org/abs/2108.03462v1

    • [cs.IT]Zero-Error Feedback Capacity of Finite-State Additive Noise Channels for Stabilization of Linear Systems
    Amir Saberi, Farhad Farokhi, Girish Nair
    http://arxiv.org/abs/2108.03874v1

    • [cs.LG]A Framework for Joint Unsupervised Learning of Cluster-Aware Embedding for Heterogeneous Networks
    Rayyan Ahmad Khan, Martin Kleinsteuber
    http://arxiv.org/abs/2108.03953v1

    • [cs.LG]A Look at the Evaluation Setup of the M5 Forecasting Competition
    Hansika Hewamalage, Pablo Montero-Manso, Christoph Bergmeir, Rob J Hyndman
    http://arxiv.org/abs/2108.03588v1

    • [cs.LG]A Machine Learning Tool to Determine State of Mind and Emotion
    Rodrigo S. Jamisola Jr
    http://arxiv.org/abs/2108.03444v1

    • [cs.LG]Adaptive Anomaly Detection for Internet of Things in Hierarchical Edge Computing: A Contextual-Bandit Approach
    Mao V. Ngo, Tie Luo, Tony Q. S. Quek
    http://arxiv.org/abs/2108.03872v1

    • [cs.LG]Approximate Last Iterate Convergence in Overparameterized GANs
    Elbert Du
    http://arxiv.org/abs/2108.03491v1

    • [cs.LG]Classification Auto-Encoder based Detector against Diverse Data Poisoning Attacks
    Fereshteh Razmi, Li Xiong
    http://arxiv.org/abs/2108.04206v1

    • [cs.LG]Clustering Algorithms to Analyze the Road Traffic Crashes
    Mahnaz Rafia Islam, Israt Jahan Jenny, Moniruzzaman Nayon, Md. Rajibul Islam, Md Amiruzzaman, M. Abdullah-Al-Wadud
    http://arxiv.org/abs/2108.03490v1

    • [cs.LG]Collapsing the Decision Tree: the Concurrent Data Predictor
    Cristian Alb
    http://arxiv.org/abs/2108.03887v1

    • [cs.LG]Combining machine learning and data assimilation to forecast dynamical systems from noisy partial observations
    Georg A. Gottwald, Sebastian Reich
    http://arxiv.org/abs/2108.03561v1

    • [cs.LG]Concept Drift Detection with Variable Interaction Networks
    Jan Zenisek, Gabriel Kronberger, Josef Wolfartsberger, Norbert Wild, Michael Affenzeller
    http://arxiv.org/abs/2108.03273v1

    • [cs.LG]Deep Neural Network for DrawiNg Networks, (DNN)^2
    Loann Giovannangeli, Frederic Lalanne, David Auber, Romain Giot, Romain Bourqui
    http://arxiv.org/abs/2108.03632v1

    • [cs.LG]EVGen: Adversarial Networks for Learning Electric Vehicle Charging Loads and Hidden Representations
    Robert Buechler, Emmanuel Balogun, Arun Majumdar, Ram Rajagopal
    http://arxiv.org/abs/2108.03762v1

    • [cs.LG]Earables for Detection of Bruxism: a Feasibility Study
    Erika Bondareva, Elín Rós Hauksdóttir, Cecilia Mascolo
    http://arxiv.org/abs/2108.04144v1

    • [cs.LG]Efficient Hyperparameter Optimization for Differentially Private Deep Learning
    Aman Priyanshu, Rakshit Naidu, Fatemehsadat Mireshghallah, Mohammad Malekzadeh
    http://arxiv.org/abs/2108.03888v1

    • [cs.LG]Ensemble neuroevolution based approach for multivariate time series anomaly detection
    Kamil Faber, Dominik Żurek, Marcin Pietroń, Kamil Piętak
    http://arxiv.org/abs/2108.03585v1

    • [cs.LG]Expressive Power and Loss Surfaces of Deep Learning Models
    Simant Dube
    http://arxiv.org/abs/2108.03579v1

    • [cs.LG]FederatedNILM: A Distributed and Privacy-preserving Framework for Non-intrusive Load Monitoring based on Federated Deep Learning
    Shuang Dai, Fanlin Meng, Qian Wang, Xizhong Chen
    http://arxiv.org/abs/2108.03591v1

    • [cs.LG]HetEmotionNet: Two-Stream Heterogeneous Graph Recurrent Neural Network for Multi-modal Emotion Recognition
    Ziyu Jia, Youfang Lin, Jing Wang, Zhiyang Feng, Xiangheng Xie, Caijie Chen
    http://arxiv.org/abs/2108.03354v1

    • [cs.LG]Identifying Wetland Areas in Historical Maps using Deep Convolutional Neural Networks
    Niclas Ståhl, Lisa Weimann
    http://arxiv.org/abs/2108.04107v1

    • [cs.LG]Improved Feature Importance Computations for Tree Models: Shapley vs. Banzhaf
    Adam Karczmarz, Anish Mukherjee, Piotr Sankowski, Piotr Wygocki
    http://arxiv.org/abs/2108.04126v1

    • [cs.LG]Joint AP Probing and Scheduling: A Contextual Bandit Approach
    Tianyi Xu, Ding Zhang, Parth H. Pathak, Zizhan Zheng
    http://arxiv.org/abs/2108.03297v1

    • [cs.LG]Jointly Attacking Graph Neural Network and its Explanations
    Wenqi Fan, Wei Jin, Xiaorui Liu, Han Xu, Xianfeng Tang, Suhang Wang, Qing Li, Jiliang Tang, Jianping Wang, Charu Aggarwal
    http://arxiv.org/abs/2108.03388v1

    • [cs.LG]Learning to Transfer with von Neumann Conditional Divergence
    Ammar Shaker, Shujian Yu
    http://arxiv.org/abs/2108.03531v1

    • [cs.LG]Leveraging Uncertainty for Improved Static Malware Detection Under Extreme False Positive Constraints
    Andre T. Nguyen, Edward Raff, Charles Nicholas, James Holt
    http://arxiv.org/abs/2108.04081v1

    • [cs.LG]MAF-GNN: Multi-adaptive Spatiotemporal-flow Graph Neural Network for Traffic Speed Forecasting
    Yaobin Xu, Weitang Liu, Zhongyi Jiang, Zixuan Xu, Tingyun Mao, Lili Chen, Mingwei Zhou
    http://arxiv.org/abs/2108.03594v1

    • [cs.LG]Membership Inference Attacks on Lottery Ticket Networks
    Aadesh Bagmar, Shishira R Maiya, Shruti Bidwalka, Amol Deshpande
    http://arxiv.org/abs/2108.03506v1

    • [cs.LG]Meta-Reinforcement Learning in Broad and Non-Parametric Environments
    Zhenshan Bing, Lukas Knak, Fabrice Oliver Robin, Kai Huang, Alois Knoll
    http://arxiv.org/abs/2108.03718v1

    • [cs.LG]Mis-spoke or mis-lead: Achieving Robustness in Multi-Agent Communicative Reinforcement Learning
    Wanqi Xue, Wei Qiu, Bo An, Zinovi Rabinovich, Svetlana Obraztsova, Chai Kiat Yeo
    http://arxiv.org/abs/2108.03803v1

    • [cs.LG]Missing Data Estimation in Temporal Multilayer Position-aware Graph Neural Network (TMP-GNN)
    Bahareh Najafi, Saeedeh Parsaeefard, Alberto Leon-Garcia
    http://arxiv.org/abs/2108.03400v1

    • [cs.LG]Neural Network Repair with Reachability Analysis
    Xiaodong Yang, Tom Yamaguchi, Hoang-Dung Tran, Bardh Hoxha, Taylor T Johnson, Danil Prokhorov
    http://arxiv.org/abs/2108.04214v1

    • [cs.LG]On the Difficulty of Generalizing Reinforcement Learning Framework for Combinatorial Optimization
    Mostafa Pashazadeh, Kui Wu
    http://arxiv.org/abs/2108.03713v1

    • [cs.LG]On the Hyperparameters in Stochastic Gradient Descent with Momentum
    Bin Shi
    http://arxiv.org/abs/2108.03947v1

    • [cs.LG]On the Power of Differentiable Learning versus PAC and SQ Learning
    Emmanuel Abbe, Pritish Kamath, Eran Malach, Colin Sandon, Nathan Srebro
    http://arxiv.org/abs/2108.04190v1

    • [cs.LG]Online Multiobjective Minimax Optimization and Applications
    Georgy Noarov, Mallesh Pai, Aaron Roth
    http://arxiv.org/abs/2108.03837v1

    • [cs.LG]Probabilistic Active Learning for Active Class Selection
    Daniel Kottke, Georg Krempl, Marianne Stecklina, Cornelius Styp von Rekowski, Tim Sabsch, Tuan Pham Minh, Matthias Deliano, Myra Spiliopoulou, Bernhard Sick
    http://arxiv.org/abs/2108.03891v1

    • [cs.LG]Robust 1-bit Compressive Sensing with Partial Gaussian Circulant Matrices and Generative Priors
    Zhaoqiang Liu, Subhroshekhar Ghosh, Jun Han, Jonathan Scarlett
    http://arxiv.org/abs/2108.03570v1

    • [cs.LG]Safe Deep Reinforcement Learning for Multi-Agent Systems with Continuous Action Spaces
    Ziyad Sheebaelhamd, Konstantinos Zisis, Athina Nisioti, Dimitris Gkouletsos, Dario Pavllo, Jonas Kohler
    http://arxiv.org/abs/2108.03952v1

    • [cs.LG]Self-learning sparse PCA for multimode process monitoring
    Jingxin Zhang, Donghua Zhou, Maoyin Chen
    http://arxiv.org/abs/2108.03449v1

    • [cs.LG]Some thoughts on catastrophic forgetting and how to learn an algorithm
    Miguel Ruiz-Garcia
    http://arxiv.org/abs/2108.03940v1

    • [cs.LG]The Effect of Training Parameters and Mechanisms on Decentralized Federated Learning based on MNIST Dataset
    Zhuofan Zhang, Mi Zhou, Kaicheng Niu, Chaouki Abdallah
    http://arxiv.org/abs/2108.03508v1

    • [cs.LG]The Role of Global Labels in Few-Shot Classification and How to Infer Them
    Ruohan Wang, Massimiliano Pontil, Carlo Ciliberto
    http://arxiv.org/abs/2108.04055v1

    • [cs.LG]Training of deep residual networks with stochastic MG/OPT
    Cyrill von Planta, Alena Kopanicakova, Rolf Krause
    http://arxiv.org/abs/2108.04052v1

    • [cs.LG]Training very large scale nonlinear SVMs using Alternating Direction Method of Multipliers coupled with the Hierarchically Semi-Separable kernel approximations
    S. Cipolla, J. Gondzio
    http://arxiv.org/abs/2108.04167v1

    • [cs.LG]Unified Regularity Measures for Sample-wise Learning and Generalization
    Chi Zhang, Xiaoning Ma, Yu Liu, Le Wang, Yuanqi Su, Yuehu Liu
    http://arxiv.org/abs/2108.03913v1

    • [cs.LG]Unifying Heterogenous Electronic Health Records Systems via Text-Based Code Embedding
    Kyunghoon Hur, Jiyoung Lee, Jungwoo Oh, Wesley Price, Young-Hak Kim, Edward Choi
    http://arxiv.org/abs/2108.03625v1

    • [cs.LG]Using Biological Variables and Social Determinants to Predict Malaria and Anemia among Children in Senegal
    Boubacar Sow, Hiroki Suguri, Hamid Mukhtar, Hafiz Farooq Ahmad
    http://arxiv.org/abs/2108.03601v1

    • [cs.LG]Whittle Index for A Class of Restless Bandits with Imperfect Observations
    Keqin Liu, Ting Wu
    http://arxiv.org/abs/2108.03812v1

    • [cs.MM]Scaling New Peaks: A Viewership-centric Approach to Automated Content Curation
    Subhabrata Majumdar, Deirdre Paul, Eric Zavesky
    http://arxiv.org/abs/2108.04187v1

    • [cs.NE]BenchENAS: A Benchmarking Platform for Evolutionary Neural Architecture Search
    Xiangning Xie, Yanan Sun, Gary G. Yen, Bing Xue, Mengjie Zhang
    http://arxiv.org/abs/2108.03856v1

    • [cs.NI]Machine Learning Assisted Security Analysis of 5G-Network-Connected Systems
    Tanujay Saha, Najwa Aaraj, Niraj K. Jha
    http://arxiv.org/abs/2108.03514v1

    • [cs.RO]3D Human Reconstruction in the Wild with Collaborative Aerial Cameras
    Cherie Ho, Andrew Jong, Harry Freeman, Rohan Rao, Rogerio Bonatti, Sebastian Scherer
    http://arxiv.org/abs/2108.03936v1

    • [cs.RO]Active Visuo-Tactile Point Cloud Registration for Accurate Pose Estimation of Objects in an Unknown Workspace
    Prajval Kumar Murali, Michael Gentner, Mohsen Kaboli
    http://arxiv.org/abs/2108.04015v1

    • [cs.RO]Arduino Controlled Spy Robo Car using Wireless Camera With live Streaming
    Muhammad Ayoub Kamal
    http://arxiv.org/abs/2108.03402v1

    • [cs.RO]BEHAVIOR: Benchmark for Everyday Household Activities in Virtual, Interactive, and Ecological Environments
    Sanjana Srivastava, Chengshu Li, Michael Lingelbach, Roberto Martín-Martín, Fei Xia, Kent Vainio, Zheng Lian, Cem Gokmen, Shyamal Buch, C. Karen Liu, Silvio Savarese, Hyowon Gweon, Jiajun Wu, Li Fei-Fei
    http://arxiv.org/abs/2108.03332v1

    • [cs.RO]Design and Experimental Evaluation of a Hierarchical Controller for an Autonomous Ground Vehicle with Large Uncertainties
    Juncheng Li, Maopeng Ran, Lihua Xie
    http://arxiv.org/abs/2108.03794v1

    • [cs.RO]Dynamic Balancing of Humanoid Robot Walker3 with Proprioceptive Actuation: Systematic Design of Algorithm, Software and Hardware
    Yan Xie, Jiajun Wang, Hao Dong, Xiaoyu Ren, Liqun Huang, Mingguo Zhao
    http://arxiv.org/abs/2108.03826v1

    • [cs.RO]Global-Position Tracking Control of 3-D Bipedal Walking via Virtual Constraint Design and Multiple Lyapunov Analysis
    Yan Gu, Yuan Gao, Bin Yao, C. S. George Lee
    http://arxiv.org/abs/2108.03661v1

    • [cs.RO]IGibson 2.0: Object-Centric Simulation for Robot Learning of Everyday Household Tasks
    Chengshu Li, Fei Xia, Roberto Martín-Martín, Michael Lingelbach, Sanjana Srivastava, Bokui Shen, Kent Vainio, Cem Gokmen, Gokul Dharan, Tanish Jain, Andrey Kurenkov, Karen Liu, Hyowon Gweon, Jiajun Wu, Li Fei-Fei, Silvio Savarese
    http://arxiv.org/abs/2108.03272v1

    • [cs.RO]Long-Horizon Manipulation of Unknown Objects via Task and Motion Planning with Estimated Affordances
    Aidan Curtis, Xiaolin Fang, Leslie Pack Kaelbling, Tomás Lozano-Pérez, Caelan Reed Garrett
    http://arxiv.org/abs/2108.04145v1

    • [cs.RO]Mapless Humanoid Navigation Using Learned Latent Dynamics
    Andre Brandenburger, Diego Rodriguez, Sven Behnke
    http://arxiv.org/abs/2108.03866v1

    • [cs.RO]Model-free online motion adaptation for energy efficient flights of multicopters
    Xiangyu Wu, Jun Zeng, Andrea Tagliabue, Mark W. Mueller
    http://arxiv.org/abs/2108.03807v1

    • [cs.RO]Multi-Robot Path Planning in Complex Environments via Graph Embedding
    Xifeng Gao, Zherong Pan, Ruiqi Ni
    http://arxiv.org/abs/2108.03368v1

    • [cs.RO]OHPL: One-shot Hand-eye Policy Learner
    Changjae Oh, Yik Lung Pang, Andrea Cavallaro
    http://arxiv.org/abs/2108.03318v1

    • [cs.RO]Organization and Understanding of a Tactile Information Dataset TacAct For Physical Human-Robot Interaction
    Peng Wang, Jixiao Liu, Funing Hou, Dicai Chen, Zihou Xia, Shijie Guo
    http://arxiv.org/abs/2108.03779v1

    • [cs.RO]Real-time Geo-localization Using Satellite Imagery and Topography for Unmanned Aerial Vehicles
    Shuxiao Chen, Xiangyu Wu, Mark W. Mueller, Koushil Sreenath
    http://arxiv.org/abs/2108.03344v1

    • [cs.RO]Safe Vessel Navigation Visually Aided by Autonomous Unmanned Aerial Vehicles in Congested Harbors and Waterways
    Jonas le Fevre Sejersen, Rui Pimentel de Figueiredo, Erdal Kayacan
    http://arxiv.org/abs/2108.03862v1

    • [cs.RO]Semantic-Based Explainable AI: Leveraging Semantic Scene Graphs and Pairwise Ranking to Explain Robot Failures
    Devleena Das, Sonia Chernova
    http://arxiv.org/abs/2108.03554v1

    • [cs.RO]Situated Live Programming for Human-Robot Collaboration
    Emmanuel Senft, Michael Hagenow, Robert Radwin, Michael Zinn, Michael Gleicher, Bilge Mutlu
    http://arxiv.org/abs/2108.03592v1

    • [cs.RO]TOKCS: Tool for Organizing Key Characteristics of VAM-HRI Systems
    Thomas R. Groechel, Michael E. Walker, Christine T. Chang, Eric Rosen, Jessica Zosa Forde
    http://arxiv.org/abs/2108.03477v1

    • [cs.RO]Unknown Object Segmentation through Domain Adaptation
    Yiting Chen, Chenguang Yang, Miao Li
    http://arxiv.org/abs/2108.04021v1

    • [cs.RO]**Utilizing the RRT-Algorithm for Collision Avoidance in UAV Photogrammetry Missions
    Lars Killian, Jan Backhaus
    http://arxiv.org/abs/2108.03863v1

    • [cs.RO]What Matters in Learning from Offline Human Demonstrations for Robot Manipulation
    Ajay Mandlekar, Danfei Xu, Josiah Wong, Soroush Nasiriany, Chen Wang, Rohun Kulkarni, Li Fei-Fei, Silvio Savarese, Yuke Zhu, Roberto Martín-Martín
    http://arxiv.org/abs/2108.03298v1

    • [cs.SD]A Unified Model for Zero-shot Music Source Separation, Transcription and Synthesis
    Liwei Lin, Qiuqiang Kong, Junyan Jiang, Gus Xia
    http://arxiv.org/abs/2108.03456v1

    • [cs.SD]Audio Spectral Enhancement: Leveraging Autoencoders for Low Latency Reconstruction of Long, Lossy Audio Sequences
    Darshan Deshpande, Harshavardhan Abichandani
    http://arxiv.org/abs/2108.03703v1

    • [cs.SD]Cough Detection Using Selected Informative Features from Audio Signals
    Xinru Chen, Menghan Hu, Guangtao Zhai
    http://arxiv.org/abs/2108.03538v1

    • [cs.SD]Segmentation-free Heart Pathology Detection Using Deep Learning
    Erika Bondareva, Jing Han, William Bradlow, Cecilia Mascolo
    http://arxiv.org/abs/2108.04139v1

    • [cs.SD]Time-Frequency Localization Using Deep Convolutional Maxout Neural Network in Persian Speech Recognition
    Arash Dehghani, Seyyed Ali Seyyedsalehi
    http://arxiv.org/abs/2108.03818v1

    • [cs.SE]Exploring the potential of flow-based programming for machine learning deployment in comparison with service-oriented architectures
    Andrei Paleyes, Christian Cabrera, Neil D. Lawrence
    http://arxiv.org/abs/2108.04105v1

    • [cs.SE]Tackling Consistency-related Design Challenges of Distributed Data-Intensive Systems - An Action Research Study
    Susanne Braun, Stefan Deßloch, Eberhard Wolff, Frank Elberzhager, Andreas Jedlitschka
    http://arxiv.org/abs/2108.03758v1

    • [cs.SI]#StayHome or #Marathon? Social Media Enhanced Pandemic Surveillance on Spatial-temporal Dynamic Graphs
    Yichao Zhou, Jyun-yu Jiang, Xiusi Chen, Wei Wang
    http://arxiv.org/abs/2108.03670v1

    • [cs.SI]Influence Maximization in Social Networks: A Survey of Behaviour-Aware Methods
    Ahmad Zareie, Rizos Sakellariou
    http://arxiv.org/abs/2108.03438v1

    • [cs.SI]Learning to Detect Few-Shot-Few-Clue Misinformation
    Qiang Zhang, Hongbin Huang, Shangsong Liang, Zaiqiao Meng, Emine Yilmaz
    http://arxiv.org/abs/2108.03805v1

    • [cs.SI]Proof-of-Reputation: An Alternative Consensus Mechanism for Blockchain Systems
    Oladotun Aluko, Anton Kolonin
    http://arxiv.org/abs/2108.03542v1

    • [cs.SI]Recurrent Graph Neural Networks for Rumor Detection in Online Forums
    Di Huang, Jacob Bartel, John Palowitch
    http://arxiv.org/abs/2108.03548v1

    • [cs.SI]Topic X-ray
    Qi Li, Luoyi Fu, Xinbing Wang, Chenghu Zhou
    http://arxiv.org/abs/2108.03458v1

    • [econ.EM]A Theoretical Analysis of Logistic Regression and Bayesian Classifiers
    Roman V. Kirin
    http://arxiv.org/abs/2108.03715v1

    • [econ.EM]Culling the herd of moments with penalized empirical likelihood
    Jinyuan Chang, Zhentao Shi, Jia Zhang
    http://arxiv.org/abs/2108.03382v1

    • [econ.EM]Fully Modified Least Squares Cointegrating Parameter Estimation in Multicointegrated Systems
    Igor L. Kheifets, Peter C. B. Phillips
    http://arxiv.org/abs/2108.03486v1

    • [econ.EM]Improving Inference from Simple Instruments through Compliance Estimation
    Stephen Coussens, Jann Spiess
    http://arxiv.org/abs/2108.03726v1

    • [econ.EM]Unbottling the Gini: New Tools from an Old Concept
    Mario Schlemmer
    http://arxiv.org/abs/2108.03623v1

    • [econ.GN]Visualizing Income Distribution in the United States
    Sang Truong, Humberto Barreto
    http://arxiv.org/abs/2108.03733v1

    • [eess.AS]A Streamwise GAN Vocoder for Wideband Speech Coding at Very Low Bit Rate
    Ahmed Mustafa, Jan Büthe, Srikanth Korse, Kishan Gupta, Guillaume Fuchs, Nicola Pia
    http://arxiv.org/abs/2108.04051v1

    • [eess.AS]BeatNet: CRNN and Particle Filtering for Online Joint Beat Downbeat and Meter Tracking
    Mojtaba Heydari, Frank Cwitkowitz, Zhiyao Duan
    http://arxiv.org/abs/2108.03576v1

    • [eess.SP]Efficient Majority Voting in Digital Hardware
    Stefan Baumgartner, Mario Huemer, Michael Lunglmayr
    http://arxiv.org/abs/2108.03979v1

    • [eess.SP]Mean-square Analysis of the NLMS Algorithm
    Tareq Y. Al-Naffouri, Muhammad Moinuddin, Anum Ali
    http://arxiv.org/abs/2108.03721v1

    • [eess.SP]Multiscale Wavelet Transfer Entropy with Application to Corticomuscular Coupling Analysis
    Zhenghao Guo, Verity M. McClelland, Osvaldo Simeone, Kerry R. Mills, Zoran Cvetkovic
    http://arxiv.org/abs/2108.04152v1

    • [eess.SY]A Credibility-aware Swarm-Federated Deep Learning Framework in Internet of Vehicles
    Zhe Wang, Xinhang Li, Tianhao Wu, Chen Xu, Lin Zhang
    http://arxiv.org/abs/2108.03981v1

    • [eess.SY]Event-driven Vision and Control for UAVs on a Neuromorphic Chip
    Antonio Vitale, Alpha Renner, Celine Nauer, Davide Scaramuzza, Yulia Sandamirskaya
    http://arxiv.org/abs/2108.03694v1

    • [eess.SY]Generalizing Dynamic Mode Decomposition: Balancing Accuracy and Expressiveness in Koopman Approximations
    Masih Haseli, Jorge Cortés
    http://arxiv.org/abs/2108.03712v1

    • [eess.SY]Reachability Analysis of Neural Feedback Loops
    Michael Everett, Golnaz Habibi, Chuangchuang Sun, Jonathan P. How
    http://arxiv.org/abs/2108.04140v1

    • [math.NA]Image reconstruction in light-sheet microscopy: spatially varying deconvolution and mixed noise
    Bogdan Toader, Jerome Boulanger, Yury Korolev, Martin O. Lenz, James Manton, Carola-Bibiane Schonlieb, Leila Muresan
    http://arxiv.org/abs/2108.03642v1

    • [math.OC]Apportionment with Parity Constraints
    Claire Mathieu, Victor Verdugo
    http://arxiv.org/abs/2108.04137v1

    • [math.RA]A gradient method for inconsistency reduction of pairwise comparisons matrices
    Jean-Pierre Magnot, Jiří Mazurek, Viera Čerňanová
    http://arxiv.org/abs/2108.04034v1

    • [math.ST]Wavelet eigenvalue regression in high dimensions
    Patrice Abry, B. Cooper Boniece, Gustavo Didier, Herwig Wendt
    http://arxiv.org/abs/2108.03770v1

    • [physics.soc-ph]Estimating Active Cases of COVID-19
    Javier Álvarez, Carlos Baquero, Elisa Cabana, Jaya Prakash Champati, Antonio Fernández Anta, Davide Frey, Augusto García-Agúndez, Chryssis Georgiou, Mathieu Goessens, Harold Hernández, Rosa Lillo, Raquel Menezes, Raúl Moreno, Nicolas Nicolaou, Oluwasegun Ojo, Antonio Ortega, Jesús Rufino, Efstathios Stavrakis, Govind Jeevan, Christin Glorioso
    http://arxiv.org/abs/2108.03284v1

    • [physics.soc-ph]Forecasting racial dynamics at the neighborhood scale using Density-functional Fluctuation Theory
    Yunus A. Kinkhabwala, Boris Barron, Matthew Hall, Tomas A. Arias, Itai Cohen
    http://arxiv.org/abs/2108.04084v1

    • [physics.soc-ph]Team Power and Hierarchy: Understanding Team Success
    Huimin Xu, Yi Bu, Meijun Liu, Chenwei Zhang, Mengyi Sun, Yi Zhang, Eric Meyer, Eduardo Salas, Ying Ding
    http://arxiv.org/abs/2108.04108v1

    • [q-bio.QM]A k-mer Based Approach for SARS-CoV-2 Variant Identification
    Sarwan Ali, Bikram Sahoo, Naimat Ullah, Alexander Zelikovskiy, Murray Patterson, Imdadullah Khan
    http://arxiv.org/abs/2108.03465v1

    • [q-bio.QM]Classification and Visualization of Genotype x Phenotype Interactions in Biomass Sorghum
    Abby Stylianou, Robert Pless, Nadia Shakoor, Todd Mockler
    http://arxiv.org/abs/2108.04090v1

    • [quant-ph]Incompatibility between ‘t Hooft’s and Wolfram’s models of quantum mechanics
    José Manuel Rodríguez Caballero
    http://arxiv.org/abs/2108.03751v1

    • [stat.AP]An Interpretable Probabilistic Model for Short-Term Solar Power Forecasting Using Natural Gradient Boosting
    Georgios Mitrentsis, Hendrik Lens
    http://arxiv.org/abs/2108.04058v1

    • [stat.AP]Kinematics clustering enables head impact subtyping for better traumatic brain injury prediction
    Xianghao Zhan, Yiheng Li, Yuzhe Liu, Nicholas J. Cecchi, Olivier Gevaert, Michael M. Zeineh, Gerald A. Grant, David B. Camarillo
    http://arxiv.org/abs/2108.03498v1

    • [stat.AP]Predicting Credit Default Probabilities Using Bayesian Statistics and Monte Carlo Simulations
    Dominic Joseph
    http://arxiv.org/abs/2108.03389v1

    • [stat.CO]A Bayesian Nonparametric Estimation of Mutual Information
    Luai Al-Labadi, Forough Fazeli-Asl, Zahra Saberi
    http://arxiv.org/abs/2108.03780v1

    • [stat.CO]Discussion: “Bayesian Optimal Design of Experiments for Inferring the Statistical Expectation of Expensive Black-Box Functions” (Pandita, P., Bilionis, I., and Panchal, J., 2019. ASME. J. Mech. Des. 141(10):
    1000
    101404)
    Xianliang Gong, Yulin Pan
    http://arxiv.org/abs/2108.03732v1

    • [stat.CO]Regularized Maximum Likelihood Estimation for the Random Coefficients Model in Python
    Emil Alfred Edgar Navarro Mendoza, Fabian Dunker, Marco Reale
    http://arxiv.org/abs/2108.03582v1

    • [stat.ME]Bayesian 今日学术视野(2021.8.11) - 图2 regression
    Xiongwen Ke, Yanan Fan
    http://arxiv.org/abs/2108.03464v1

    • [stat.ME]Bayesian Analysis of Sparse Multivariate Matched Proportions
    Mark J. Meyer, Tong Li, Katherine Hobbs Knutson
    http://arxiv.org/abs/2108.04096v1

    • [stat.ME]Controlling for Unmeasured Confounding in Panel Data Using Minimal Bridge Functions: From Two-Way Fixed Effects to Factor Models
    Guido Imbens, Nathan Kallus, Xiaojie Mao
    http://arxiv.org/abs/2108.03849v1

    • [stat.ME]Cumulative differences between subpopulations
    Mark Tygert
    http://arxiv.org/abs/2108.02666v2

    • [stat.ME]Estimating Graph Dimension with Cross-validated Eigenvalues
    Fan Chen, Sebastien Roch, Karl Rohe, Shuqi Yu
    http://arxiv.org/abs/2108.03336v1

    • [stat.ME]Estimating populational-average hazard ratios in the presence of unmeasured confounding
    Pablo Martinez-Camblor, Todd A. MacKenzie, A. James O’Malley
    http://arxiv.org/abs/2108.03720v1

    • [stat.ME]Guaranteed Functional Tensor Singular Value Decomposition
    Rungang Han, Pixu Shi, Anru R. Zhang
    http://arxiv.org/abs/2108.04201v1

    • [stat.ME]Identification in Bayesian Estimation of the Skewness Matrix in a Multivariate Skew-Elliptical Distribution
    Sakae Oya, Teruo Nakatsuma
    http://arxiv.org/abs/2108.04019v1

    • [stat.ME]Model choice and parameter inference in controlled branching processes
    Miguel González, Carmen Minuesa, Inés del Puerto
    http://arxiv.org/abs/2108.03691v1

    • [stat.ME]Multi-Target Tracking with Dependent Likelihood Structures in Labeled Random Finite Set Filters
    Lingji Chen
    http://arxiv.org/abs/2108.03729v1

    • [stat.ME]Resurrecting the One-Sided P-value as a Likelihood Ratio
    Nicholas Adams
    http://arxiv.org/abs/2108.03544v1

    • [stat.ME]Scalable Bayesian transport maps for high-dimensional non-Gaussian spatial fields
    Matthias Katzfuss, Florian Schäfer
    http://arxiv.org/abs/2108.04211v1

    • [stat.ML]Clustering Large Data Sets with Incremental Estimation of Low-density Separating Hyperplanes
    David P. Hofmeyr
    http://arxiv.org/abs/2108.03442v1

    • [stat.ML]Johnson-Lindenstrauss Lemma, Linear and Nonlinear Random Projections, Random Fourier Features, and Random Kitchen Sinks: Tutorial and Survey
    Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley
    http://arxiv.org/abs/2108.04172v1

    • [stat.ML]Online Bootstrap Inference For Policy Evaluation in Reinforcement Learning
    Pratik Ramprasad, Yuantong Li, Zhuoran Yang, Zhaoran Wang, Will Wei Sun, Guang Cheng
    http://arxiv.org/abs/2108.03706v1

    • [stat.ML]Pathfinder: Parallel quasi-Newton variational inference
    Lu Zhang, Bob Carpenter, Andrew Gelman, Aki Vehtari
    http://arxiv.org/abs/2108.03782v1

    • [stat.ML]Uncertainty quantification for industrial design using dictionaries of reduced order models
    Thomas Daniel, Fabien Casenave, Nissrine Akkari, David Ryckelynck, Christian Rey
    http://arxiv.org/abs/2108.04012v1

    • [stat.OT]On the role of data, statistics and decisions in a pandemic
    Beate Jahn, Sarah Friedrich, Joachim Behnke, Joachim Engel, Ursula Garczarek, Ralf Münnich, Markus Pauly, Adalbert Wilhelm, Olaf Wolkenhauer, Markus Zwick, Uwe Siebert, Tim Friede
    http://arxiv.org/abs/2108.04068v1