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.IR - 信息检索
    cs.IT - 信息论
    cs.LG - 自动学习
    cs.NE - 神经与进化计算
    cs.RO - 机器人学
    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.IV - 图像与视频处理
    eess.SP - 信号处理
    eess.SY - 系统和控制
    math.DS - 动力系统
    math.PR - 概率
    math.ST - 统计理论
    physics.comp-ph - 计算物理学
    physics.optics - 光学
    quant-ph - 量子物理
    stat.AP - 应用统计
    stat.ME - 统计方法论
    stat.ML - (统计)机器学习

    • [cs.AI]Learning from Łukasiewicz and Meredith: Investigations into Proof Structures (Extended Version)
    • [cs.AI]Rule-based Shielding for Partially Observable Monte-Carlo Planning
    • [cs.AI]Symbolic Abstractions From Data: A PAC Learning Approach
    • [cs.AI]The Role of General Intelligence in Mathematical Reasoning
    • [cs.AR]Continual Learning Approach for Improving the Data and Computation Mapping in Near-Memory Processing System
    • [cs.CL]AraStance: A Multi-Country and Multi-Domain Dataset of Arabic Stance Detection for Fact Checking
    • [cs.CL]Evaluating Document Representations for Content-based Legal Literature Recommendations
    • [cs.CL]Improving BERT Model Using Contrastive Learning for Biomedical Relation Extraction
    • [cs.CL]MelBERT: Metaphor Detection via Contextualized Late Interaction using Metaphorical Identification Theories
    • [cs.CL]Multi-view Inference for Relation Extraction with Uncertain Knowledge
    • [cs.CL]Named Entity Recognition and Linking Augmented with Large-Scale Structured Data
    • [cs.CL]PCFGs Can Do Better: Inducing Probabilistic Context-Free Grammars with Many Symbols
    • [cs.CL]Removing Word-Level Spurious Alignment between Images and Pseudo-Captions in Unsupervised Image Captioning
    • [cs.CL]SELF & FEIL: Emotion and Intensity Lexicons for Finnish
    • [cs.CL]Semi-supervised Interactive Intent Labeling
    • [cs.CL]Towards Clinical Encounter Summarization: Learning to Compose Discharge Summaries from Prior Notes
    • [cs.CR]MOVO: a dApp for DLT-based Smart Mobility
    • [cs.CV]A Deep Learning Object Detection Method for an Efficient Clusters Initializatio
    • [cs.CV]ACDC: The Adverse Conditions Dataset with Correspondences for Semantic Driving Scene Understanding
    • [cs.CV]Adapting ImageNet-scale models to complex distribution shifts with self-learning
    • [cs.CV]AdvHaze: Adversarial Haze Attack
    • [cs.CV]An Attention and Prediction Guided Visual System for Small Target Motion Detection in Complex Natural Environments
    • [cs.CV]Boosting Co-teaching with Compression Regularization for Label Noise
    • [cs.CV]Classification and comparison of license plates localization algorithms
    • [cs.CV]ConTNet: Why not use convolution and transformer at the same time?
    • [cs.CV]Contrastive Spatial Reasoning on Multi-View Line Drawings
    • [cs.CV]D-OccNet: Detailed 3D Reconstruction Using Cross-Domain Learning
    • [cs.CV]DeRenderNet: Intrinsic Image Decomposition of Urban Scenes with Shape-(In)dependent Shading Rendering
    • [cs.CV]Deep 3D-to-2D Watermarking: Embedding Messages in 3D Meshes and Extracting Them from 2D Renderings
    • [cs.CV]Deep Domain Generalization with Feature-norm Network
    • [cs.CV]Deep Learning for Rheumatoid Arthritis: Joint Detection and Damage Scoring in X-rays
    • [cs.CV]DeepSatData: Building large scale datasets of satellite images for training machine learning models
    • [cs.CV]Does Face Recognition Error Echo Gender Classification Error?
    • [cs.CV]Domain Adaptive Semantic Segmentation with Self-Supervised Depth Estimation
    • [cs.CV]Efficient Pre-trained Features and Recurrent Pseudo-Labeling inUnsupervised Domain Adaptation
    • [cs.CV]End-to-End Approach for Recognition of Historical Digit Strings
    • [cs.CV]Estimating Egocentric 3D Human Pose in Global Space
    • [cs.CV]Exploring Relational Context for Multi-Task Dense Prediction
    • [cs.CV]Extreme Rotation Estimation using Dense Correlation Volumes
    • [cs.CV]FrameExit: Conditional Early Exiting for Efficient Video Recognition
    • [cs.CV]HOTR: End-to-End Human-Object Interaction Detection with Transformers
    • [cs.CV]High-Resolution Optical Flow from 1D Attention and Correlation
    • [cs.CV]Hybrid Approach for 3D Head Reconstruction: Using Neural Networks and Visual Geometry
    • [cs.CV]Image Inpainting by End-to-End Cascaded Refinement with Mask Awareness
    • [cs.CV]Incident Detection on Junctions Using Image Processing
    • [cs.CV]Inpainting Transformer for Anomaly Detection
    • [cs.CV]Interpretable Embedding Procedure Knowledge Transfer via Stacked Principal Component Analysis and Graph Neural Network
    • [cs.CV]KAMA: 3D Keypoint Aware Body Mesh Articulation
    • [cs.CV]LUCES: A Dataset for Near-Field Point Light Source Photometric Stereo
    • [cs.CV]LasHeR: A Large-scale High-diversity Benchmark for RGBT Tracking
    • [cs.CV]Learning Synergistic Attention for Light Field Salient Object Detection
    • [cs.CV]MOD: Benchmark for Military Object Detection
    • [cs.CV]Medical Transformer: Universal Brain Encoder for 3D MRI Analysis
    • [cs.CV]MineGAN++: Mining Generative Models for Efficient Knowledge Transfer to Limited Data Domains
    • [cs.CV]Neural Ray-Tracing: Learning Surfaces and Reflectance for Relighting and View Synthesis
    • [cs.CV]On the Unreasonable Effectiveness of Centroids in Image Retrieval
    • [cs.CV]PAFNet: An Efficient Anchor-Free Object Detector Guidance
    • [cs.CV]PANDA : Perceptually Aware Neural Detection of Anomalies
    • [cs.CV]PDNet: Towards Better One-stage Object Detection with Prediction Decoupling
    • [cs.CV]Point Cloud Learning with Transformer
    • [cs.CV]Pose-driven Attention-guided Image Generation for Person Re-Identification
    • [cs.CV]Preserving Earlier Knowledge in Continual Learning with the Help of All Previous Feature Extractors
    • [cs.CV]Preserving Semantic Consistency in Unsupervised Domain Adaptation Using Generative Adversarial Networks
    • [cs.CV]Revisiting Skeleton-based Action Recognition
    • [cs.CV]Robust Face-Swap Detection Based on 3D Facial Shape Information
    • [cs.CV]Segmentation-Based Bounding Box Generation for Omnidirectional Pedestrian Detection
    • [cs.CV]Semantic Consistency and Identity Mapping Multi-Component Generative Adversarial Network for Person Re-Identification
    • [cs.CV]Semi-Supervised Semantic Segmentation with Pixel-Level Contrastive Learning from a Class-wise Memory Bank
    • [cs.CV]Shot Contrastive Self-Supervised Learning for Scene Boundary Detection
    • [cs.CV]Sign Segmentation with Changepoint-Modulated Pseudo-Labelling
    • [cs.CV]SrvfNet: A Generative Network for Unsupervised Multiple Diffeomorphic Shape Alignment
    • [cs.CV]Stochastic Neural Networks for Automatic Cell Tracking in Microscopy Image Sequences of Bacterial Colonies
    • [cs.CV]TRECVID 2020: A comprehensive campaign for evaluating video retrieval tasks across multiple application domains
    • [cs.CV]The Algonauts Project 2021 Challenge: How the Human Brain Makes Sense of a World in Motion
    • [cs.CV]Towards Fair Federated Learning with Zero-Shot Data Augmentation
    • [cs.CV]Twins: Revisiting Spatial Attention Design in Vision Transformers
    • [cs.CV]Two stages for visual object tracking
    • [cs.CV]ZePHyR: Zero-shot Pose Hypothesis Rating
    • [cs.CV]Zero-Shot Detection via Vision and Language Knowledge Distillation
    • [cs.CV][Re] Don’t Judge an Object by Its Con
    11ce
    text: Learning to Overcome Contextual Bias
    • [cs.CY]Leveraging Community and Author Context to Explain the Performance and Bias of Text-Based Deception Detection Models
    • [cs.CY]The Evolution of Rumors on a Closed Platform during COVID-19
    • [cs.CY]Understanding and Avoiding AI Failures: A Practical Guide
    • [cs.DC]Communication Costs in a Geometric Communication Network
    • [cs.DC]Faa$T: A Transparent Auto-Scaling Cache for Serverless Applications
    • [cs.DC]Pronto: Federated Task Scheduling
    • [cs.DC]Towards Decentralized Complex Queries over Distributed Ledgers: a Data Marketplace Use-case
    • [cs.DL]Top-tier and predatory alike? A lexical structure perspective from the Academy of Management Journal and Espacios
    • [cs.DS]Hypersuccinct Trees — New universal tree source codes for optimal compressed tree data structures
    • [cs.IR]Meta-evaluation of Conversational Search Evaluation Metrics
    • [cs.IR]QuTI! Quantifying Text-Image Consistency in Multimodal Documents
    • [cs.IR]Societal Biases in Retrieved Contents: Measurement Framework and Adversarial Mitigation for BERT Rankers
    • [cs.IT]A Survey on User-Centric Cell-Free Massive MIMO Systems
    • [cs.IT]A coding theorem for the rate-distortion-perception function
    • [cs.IT]CRC Codes as Error Correction Codes
    • [cs.IT]CRC-Aided List Decoding of Convolutional Codes in the Short Blocklength Regime
    • [cs.IT]Joint AP Association and PCS Threshold Selection in Dense Full-duplex Wireless Networks
    • [cs.IT]Low-Complexity Distance-Based Scheduling for Multi-User XL-MIMO Systems
    • [cs.IT]Non-Coherent Fast-Forward Relays for Full-Duplex Jamming Attack
    • [cs.IT]Resource Allocation for Millimeter-Wave Train-Ground Communications in High-Speed Railway Scenarios
    • [cs.IT]The dually flat information geometry of the mixture family of two prescribed Cauchy components
    • [cs.IT]Topological Content Delivery with Feedback and Random Receiver Cache
    • [cs.LG]A Generalized Projected Bellman Error for Off-policy Value Estimation in Reinforcement Learning
    • [cs.LG]A Note on Connecting Barlow Twins with Negative-Sample-Free Contrastive Learning
    • [cs.LG]A Reinforcement Learning Environment for Polyhedral Optimizations
    • [cs.LG]An Energy-Based View of Graph Neural Networks
    • [cs.LG]Autoregressive Dynamics Models for Offline Policy Evaluation and Optimization
    • [cs.LG]Deep physical neural networks enabled by a backpropagation algorithm for arbitrary physical systems
    • [cs.LG]Fair-Capacitated Clustering
    • [cs.LG]FastAdaBelief: Improving Convergence Rate for Belief-based Adaptive Optimizer by Strong Convexity
    • [cs.LG]Finding High-Value Training Data Subset through Differentiable Convex Programming
    • [cs.LG]Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
    • [cs.LG]Graph Decoupling Attention Markov Networks for Semi-supervised Graph Node Classification
    • [cs.LG]Improved and Efficient Text Adversarial Attacks using Target Information
    • [cs.LG]Information Interaction Profile of Choice Adoption
    • [cs.LG]Learning Fair Canonical Polyadical Decompositions using a Kernel Independence Criterion
    • [cs.LG]Learning deep autoregressive models for hierarchical data
    • [cs.LG]MLDemon: Deployment Monitoring for Machine Learning Systems
    • [cs.LG]NUQSGD: Provably Communication-efficient Data-parallel SGD via Nonuniform Quantization
    • [cs.LG]Policy Manifold Search: Exploring the Manifold Hypothesis for Diversity-based Neuroevolution
    • [cs.LG]Predicting traffic signals on transportation networks using spatio-temporal correlations on graphs
    • [cs.LG]PyTorch Tabular: A Framework for Deep Learning with Tabular Data
    • [cs.LG]Reconstructing nodal pressures in water distribution systems with graph neural networks
    • [cs.LG]Reward (Mis)design for Autonomous Driving
    • [cs.LG]Risk Bounds for Over-parameterized Maximum Margin Classification on Sub-Gaussian Mixtures
    • [cs.LG]Semi-On-Policy Training for Sample Efficient Multi-Agent Policy Gradients
    • [cs.LG]Sum-of-norms clustering does not separate nearby balls
    • [cs.LG]Text Generation with Deep Variational GAN
    • [cs.NE]Entropy-Based Evolutionary Diversity Optimisation for the Traveling Salesperson Problem
    • [cs.NE]SpikE: spike-based embeddings for multi-relational graph data
    • [cs.RO]Development of global optimal coverage control using multiple aerial robots
    • [cs.RO]End-to-End Intersection Handling using Multi-Agent Deep Reinforcement Learning
    • [cs.RO]Fast Joint Space Model-Predictive Control for Reactive Manipulation
    • [cs.RO]Seeing All the Angles: Learning Multiview Manipulation Policies for Contact-Rich Tasks from Demonstrations
    • [cs.RO]Shared Control of Robot-Robot Collaborative Lifting with Agent Postural and Force Ergonomic Optimization
    • [cs.SE]Interactive Visualization for Exploring Information Fragments in Software Repositories
    • [cs.SE]Medical device regulation efforts for mHealth apps — An experience report of Corona Check and Corona Health
    • [cs.SI]Can the Wikipedia moderation model rescue the social marketplace of ideas?
    • [econ.EM]Sequential Search Models: A Pairwise Maximum Rank Approach
    • [econ.GN]The Future of Employment Revisited: How Model Selection Determines Automation Forecasts
    • [eess.AS]AMSS-Net: Audio Manipulation on User-Specified Sources with Textual Queries
    • [eess.AS]DASEE A Synthetic Database of Domestic Acoustic Scenes and Events in Dementia Patients Environment
    • [eess.AS]IDMT-Traffic: An Open Benchmark Dataset for Acoustic Traffic Monitoring Research
    • [eess.IV]Deep Learning Body Region Classification of MRI and CT examinations
    • [eess.IV]Deep Two-Stage High-Resolution Image Inpainting
    • [eess.IV]Image Synthesis as a Pretext for Unsupervised Histopathological Diagnosis
    • [eess.IV]LambdaUNet: 2.5D Stroke Lesion Segmentation of Diffusion-weighted MR Images
    • [eess.IV]Multi-scale Deep Learning Architecture for Nucleus Detection in Renal Cell Carcinoma Microscopy Image
    • [eess.IV]Recent Advances on Non-Line-of-Sight Imaging: Conventional Physical Models, Deep Learning, and New Scenes
    • [eess.IV]Unsupervised Detection of Cancerous Regions in Histology Imagery using Image-to-Image Translation
    • [eess.SP]Packet-Loss-Tolerant Split Inference for Delay-Sensitive Deep Learning in Lossy Wireless Networks
    • [eess.SP]Weighed 今日学术视野(2021.4.30) - 图1 on the simplex: Compressive sensing meets locality
    • [eess.SY]Communication Topology Co-Design in Graph Recurrent Neural Network Based Distributed Control
    • [math.DS]Discovery of slow variables in a class of multiscale stochastic systems via neural networks
    • [math.DS]Poncelet Plectra: Harmonious Properties of Cosine Space
    • [math.PR]A Gaussian approximation theorem for Lévy processes
    • [math.PR]Continuous-time locally stationary time series models
    • [math.ST]A general procedure for change-point detection in multivariate time series
    • [math.ST]Approximating the Spectral Gap of the Pólya-Gamma Gibbs Sampler
    • [math.ST]Changepoint detection in random coefficient autoregressive models
    • [math.ST]Detection of Signal in the Spiked Rectangular Models
    • [math.ST]Failure extropy, dynamic failure extropy and their weighted versions
    • [physics.comp-ph]Discovering nonlinear resonances through physics-informed machine learning
    • [physics.optics]An optical neural network using less than 1 photon per multiplication
    • [quant-ph]Exploiting Degeneracy in Belief Propagation Decoding of Quantum Codes
    • [stat.AP]Yield forecasting with machine learning and small data: what gains for grains?
    • [stat.ME]Causes of Effects: Learning individual responses from population data
    • [stat.ME]Distributional Results for Model-Based Intrinsic Dimension Estimators
    • [stat.ME]Estimation of Poisson Autoregressive Model for Multiple Time Series
    • [stat.ME]Finite-sample Efficient Conformal Prediction
    • [stat.ME]Improved log-Gaussian approximation for over-dispersed Poisson regression: application to spatial analysis of COVID-19
    • [stat.ME]On the Limiting Distribution of Sieve VAR(今日学术视野(2021.4.30) - 图2) Estimators in Small Samples
    • [stat.ME]Path Analysis for Binary Random Variables
    • [stat.ME]Propensity Score Estimation Using Density Ratio Model under Item Nonresponse
    • [stat.ME]Statistical Inference in a Spatial-Temporal Stochastic Frontier Model
    • [stat.ML]Distributional Gaussian Process Layers for Outlier Detection in Image Segmentation
    • [stat.ML]Optimal Stopping via Randomized Neural Networks
    • [stat.ML]Phenotyping OSA: a time series analysis using fuzzy clustering and persistent homology
    • [stat.ML]Robust Classification via Support Vector Machines
    • [stat.ML]Self-Bounding Majority Vote Learning Algorithms by the Direct Minimization of a Tight PAC-Bayesian C-Bound
    • [stat.ML]Universal Consistency of Decision Trees for High Dimensional Additive Models

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

    • [cs.AI]Learning from Łukasiewicz and Meredith: Investigations into Proof Structures (Extended Version)
    Christoph Wernhard, Wolfgang Bibel
    http://arxiv.org/abs/2104.13645v1

    • [cs.AI]Rule-based Shielding for Partially Observable Monte-Carlo Planning
    Giulio Mazzi, Alberto Castellini, Alessandro Farinelli
    http://arxiv.org/abs/2104.13791v1

    • [cs.AI]Symbolic Abstractions From Data: A PAC Learning Approach
    Alex Devonport, Adnane Saoud, Murat Arcak
    http://arxiv.org/abs/2104.13901v1

    • [cs.AI]The Role of General Intelligence in Mathematical Reasoning
    Aviv Keren
    http://arxiv.org/abs/2104.13468v1

    • [cs.AR]Continual Learning Approach for Improving the Data and Computation Mapping in Near-Memory Processing System
    Pritam Majumder, Jiayi Huang, Sungkeun Kim, Abdullah Muzahid, Dylan Siegers, Chia-Che Tsai, Eun Jung Kim
    http://arxiv.org/abs/2104.13671v1

    • [cs.CL]AraStance: A Multi-Country and Multi-Domain Dataset of Arabic Stance Detection for Fact Checking
    Tariq Alhindi, Amal Alabdulkarim, Ali Alshehri, Muhammad Abdul-Mageed, Preslav Nakov
    http://arxiv.org/abs/2104.13559v1

    • [cs.CL]Evaluating Document Representations for Content-based Legal Literature Recommendations
    Malte Ostendorff, Elliott Ash, Terry Ruas, Bela Gipp, Julian Moreno-Schneider, Georg Rehm
    http://arxiv.org/abs/2104.13841v1

    • [cs.CL]Improving BERT Model Using Contrastive Learning for Biomedical Relation Extraction
    Peng Su, Yifan Peng, K. Vijay-Shanker
    http://arxiv.org/abs/2104.13913v1

    • [cs.CL]MelBERT: Metaphor Detection via Contextualized Late Interaction using Metaphorical Identification Theories
    Minjin Choi, Sunkyung Lee, Eunseong Choi, Heesoo Park, Junhyuk Lee, Dongwon Lee, Jongwuk Lee
    http://arxiv.org/abs/2104.13615v1

    • [cs.CL]Multi-view Inference for Relation Extraction with Uncertain Knowledge
    Bo Li, Wei Ye, Canming Huang, Shikun Zhang
    http://arxiv.org/abs/2104.13579v1

    • [cs.CL]Named Entity Recognition and Linking Augmented with Large-Scale Structured Data
    Paweł Rychlikowski, Bartłomiej Najdecki, Adrian Łańcucki, Adam Kaczmarek
    http://arxiv.org/abs/2104.13456v1

    • [cs.CL]PCFGs Can Do Better: Inducing Probabilistic Context-Free Grammars with Many Symbols
    Songlin Yang, Yanpeng Zhao, Kewei Tu
    http://arxiv.org/abs/2104.13727v1

    • [cs.CL]Removing Word-Level Spurious Alignment between Images and Pseudo-Captions in Unsupervised Image Captioning
    Ukyo Honda, Yoshitaka Ushiku, Atsushi Hashimoto, Taro Watanabe, Yuji Matsumoto
    http://arxiv.org/abs/2104.13872v1

    • [cs.CL]SELF & FEIL: Emotion and Intensity Lexicons for Finnish
    Emily Öhman
    http://arxiv.org/abs/2104.13691v1

    • [cs.CL]Semi-supervised Interactive Intent Labeling
    Saurav Sahay, Eda Okur, Nagib Hakim, Lama Nachman
    http://arxiv.org/abs/2104.13406v1

    • [cs.CL]Towards Clinical Encounter Summarization: Learning to Compose Discharge Summaries from Prior Notes
    Han-Chin Shing, Chaitanya Shivade, Nima Pourdamghani, Feng Nan, Philip Resnik, Douglas Oard, Parminder Bhatia
    http://arxiv.org/abs/2104.13498v1

    • [cs.CR]MOVO: a dApp for DLT-based Smart Mobility
    Mirko Zichichi, Stefano Ferretti, Gabriele D’Angelo
    http://arxiv.org/abs/2104.13813v1

    • [cs.CV]A Deep Learning Object Detection Method for an Efficient Clusters Initializatio
    Hassan N. Noura, Ola Salman, Raphaël Couturier, Abderrahmane Sider
    http://arxiv.org/abs/2104.13634v1

    • [cs.CV]ACDC: The Adverse Conditions Dataset with Correspondences for Semantic Driving Scene Understanding
    Christos Sakaridis, Dengxin Dai, Luc Van Gool
    http://arxiv.org/abs/2104.13395v1

    • [cs.CV]Adapting ImageNet-scale models to complex distribution shifts with self-learning
    Evgenia Rusak, Steffen Schneider, Peter Gehler, Oliver Bringmann, Wieland Brendel, Matthias Bethge
    http://arxiv.org/abs/2104.12928v2

    • [cs.CV]AdvHaze: Adversarial Haze Attack
    Ruijun Gao, Qing Guo, Felix Juefei-Xu, Hongkai Yu, Wei Feng
    http://arxiv.org/abs/2104.13673v1

    • [cs.CV]An Attention and Prediction Guided Visual System for Small Target Motion Detection in Complex Natural Environments
    Hongxin Wang, Jiannan Zhao, Huatian Wang, Jigen Peng, Shigang Yue
    http://arxiv.org/abs/2104.13018v2

    • [cs.CV]Boosting Co-teaching with Compression Regularization for Label Noise
    Yingyi Chen, Xi Shen, Shell Xu Hu, Johan A. K. Suykens
    http://arxiv.org/abs/2104.13766v1

    • [cs.CV]Classification and comparison of license plates localization algorithms
    Mustapha Saidallah, Fatimazahra Taki, Abdelbaki El Belrhiti El Alaoui, Abdeslam El Fergougui
    http://arxiv.org/abs/2104.13896v1

    • [cs.CV]ConTNet: Why not use convolution and transformer at the same time?
    Haotian Yan, Zhe Li, Weijian Li, Changhu Wang, Ming Wu, Chuang Zhang
    http://arxiv.org/abs/2104.13497v1

    • [cs.CV]Contrastive Spatial Reasoning on Multi-View Line Drawings
    Siyuan Xiang, Anbang Yang, Yanfei Xue, Yaoqing Yang, Chen Feng
    http://arxiv.org/abs/2104.13433v1

    • [cs.CV]D-OccNet: Detailed 3D Reconstruction Using Cross-Domain Learning
    Minhaj Uddin Ansari, Talha Bilal, Naeem Akhter
    http://arxiv.org/abs/2104.13854v1

    • [cs.CV]DeRenderNet: Intrinsic Image Decomposition of Urban Scenes with Shape-(In)dependent Shading Rendering
    Yongjie Zhu, Jiajun Tang, Si Li, Boxin Shi
    http://arxiv.org/abs/2104.13602v1

    • [cs.CV]Deep 3D-to-2D Watermarking: Embedding Messages in 3D Meshes and Extracting Them from 2D Renderings
    Innfarn Yoo, Huiwen Chang, Xiyang Luo, Ondrej Stava, Ce Liu, Peyman Milanfar, Feng Yang
    http://arxiv.org/abs/2104.13450v1

    • [cs.CV]Deep Domain Generalization with Feature-norm Network
    Mohammad Mahfujur Rahman, Clinton Fookes, Sridha Sridharan
    http://arxiv.org/abs/2104.13581v1

    • [cs.CV]Deep Learning for Rheumatoid Arthritis: Joint Detection and Damage Scoring in X-rays
    Krzysztof Maziarz, Anna Krason, Zbigniew Wojna
    http://arxiv.org/abs/2104.13915v1

    • [cs.CV]DeepSatData: Building large scale datasets of satellite images for training machine learning models
    Michail Tarasiou, Stefanos Zafeiriou
    http://arxiv.org/abs/2104.13824v1

    • [cs.CV]Does Face Recognition Error Echo Gender Classification Error?
    Ying Qiu, Vítor Albiero, Michael C. King, Kevin W. Bowyer
    http://arxiv.org/abs/2104.13803v1

    • [cs.CV]Domain Adaptive Semantic Segmentation with Self-Supervised Depth Estimation
    Qin Wang, Dengxin Dai, Lukas Hoyer, Olga Fink, Luc Van Gool
    http://arxiv.org/abs/2104.13613v1

    • [cs.CV]Efficient Pre-trained Features and Recurrent Pseudo-Labeling inUnsupervised Domain Adaptation
    Youshan Zhang, Brian D. Davison
    http://arxiv.org/abs/2104.13486v1

    • [cs.CV]End-to-End Approach for Recognition of Historical Digit Strings
    Mengqiao Zhao, Andre G. Hochuli, Abbas Cheddad
    http://arxiv.org/abs/2104.13666v1

    • [cs.CV]Estimating Egocentric 3D Human Pose in Global Space
    Jian Wang, Lingjie Liu, Weipeng Xu, Kripasindhu Sarkar, Christian Theobalt
    http://arxiv.org/abs/2104.13454v1

    • [cs.CV]Exploring Relational Context for Multi-Task Dense Prediction
    David Bruggemann, Menelaos Kanakis, Anton Obukhov, Stamatios Georgoulis, Luc Van Gool
    http://arxiv.org/abs/2104.13874v1

    • [cs.CV]Extreme Rotation Estimation using Dense Correlation Volumes
    Ruojin Cai, Bharath Hariharan, Noah Snavely, Hadar Averbuch-Elor
    http://arxiv.org/abs/2104.13530v1

    • [cs.CV]FrameExit: Conditional Early Exiting for Efficient Video Recognition
    Amir Ghodrati, Babak Ehteshami Bejnordi, Amirhossein Habibian
    http://arxiv.org/abs/2104.13400v1

    • [cs.CV]HOTR: End-to-End Human-Object Interaction Detection with Transformers
    Bumsoo Kim, Junhyun Lee, Jaewoo Kang, Eun-Sol Kim, Hyunwoo J. Kim
    http://arxiv.org/abs/2104.13682v1

    • [cs.CV]High-Resolution Optical Flow from 1D Attention and Correlation
    Haofei Xu, Jiaolong Yang, Jianfei Cai, Juyong Zhang, Xin Tong
    http://arxiv.org/abs/2104.13918v1

    • [cs.CV]Hybrid Approach for 3D Head Reconstruction: Using Neural Networks and Visual Geometry
    Oussema Bouafif, Bogdan Khomutenko, Mohamed Daoudi
    http://arxiv.org/abs/2104.13710v1

    • [cs.CV]Image Inpainting by End-to-End Cascaded Refinement with Mask Awareness
    Manyu Zhu, Dongliang He, Xin Li, Chao Li, Fu Li, Xiao Liu, Errui Ding, Zhaoxiang Zhang
    http://arxiv.org/abs/2104.13743v1

    • [cs.CV]Incident Detection on Junctions Using Image Processing
    Murat Tulgaç, Enes Yüncü, Mohamad-Alhaddad, Ceylan Yozgatlıgil
    http://arxiv.org/abs/2104.13437v1

    • [cs.CV]Inpainting Transformer for Anomaly Detection
    Jonathan Pirnay, Keng Chai
    http://arxiv.org/abs/2104.13897v1

    • [cs.CV]Interpretable Embedding Procedure Knowledge Transfer via Stacked Principal Component Analysis and Graph Neural Network
    Seunghyun Lee, Byung Cheol Song
    http://arxiv.org/abs/2104.13561v1

    • [cs.CV]KAMA: 3D Keypoint Aware Body Mesh Articulation
    Umar Iqbal, Kevin Xie, Yunrong Guo, Jan Kautz, Pavlo Molchanov
    http://arxiv.org/abs/2104.13502v1

    • [cs.CV]LUCES: A Dataset for Near-Field Point Light Source Photometric Stereo
    Roberto Mecca, Fotios Logothetis, Ignas Budvytis, Roberto Cipolla
    http://arxiv.org/abs/2104.13135v1

    • [cs.CV]LasHeR: A Large-scale High-diversity Benchmark for RGBT Tracking
    Chenglong Li, Wanlin Xue, Yaqing Jia, Zhichen Qu, Bin Luo, Jin Tang
    http://arxiv.org/abs/g/abs/2104.13202v1

    • [cs.CV]Learning Synergistic Attention for Light Field Salient Object Detection
    Yi Zhang, Geng Chen, Qian Chen, Yujia Sun, Olivier Deforges, Lu Zhang
    http://arxiv.org/abs/2104.13916v1

    • [cs.CV]MOD: Benchmark for Military Object Detection
    Xin Yi, Jiahao Wu, Bo Ma, Yangtong Ou, Longyao Liu
    http://arxiv.org/abs/2104.13763v1

    • [cs.CV]Medical Transformer: Universal Brain Encoder for 3D MRI Analysis
    Eunji Jun, Seungwoo Jeong, Da-Woon Heo, Heung-Il Suk
    http://arxiv.org/abs/2104.13633v1

    • [cs.CV]MineGAN++: Mining Generative Models for Efficient Knowledge Transfer to Limited Data Domains
    Yaxing Wang, Abel Gonzalez-Garcia, Chenshen Wu, Luis Herranz, Fahad Shahbaz Khan, Shangling Jui, Joost van de Weijer
    http://arxiv.org/abs/2104.13742v1

    • [cs.CV]Neural Ray-Tracing: Learning Surfaces and Reflectance for Relighting and View Synthesis
    Julian Knodt, Seung-Hwan Baek, Felix Heide
    http://arxiv.org/abs/2104.13562v1

    • [cs.CV]On the Unreasonable Effectiveness of Centroids in Image Retrieval
    Mikolaj Wieczorek, Barbara Rychalska, Jacek Dabrowski
    http://arxiv.org/abs/2104.13643v1

    • [cs.CV]PAFNet: An Efficient Anchor-Free Object Detector Guidance
    Ying Xin, Guanzhong Wang, Mingyuan Mao, Yuan Feng, Qingqing Dang, Yanjun Ma, Errui Ding, Shumin Han
    http://arxiv.org/abs/2104.13534v1

    • [cs.CV]PANDA : Perceptually Aware Neural Detection of Anomalies
    Jack W. Barker, Toby P. Breckon
    http://arxiv.org/abs/2104.13702v1

    • [cs.CV]PDNet: Towards Better One-stage Object Detection with Prediction Decoupling
    Li Yang, Yan Xu, Shaoru Wang, Chunfeng Yuan, Ziqi Zhang, Bing Li, Weiming Hu
    http://arxiv.org/abs/2104.13876v1

    • [cs.CV]Point Cloud Learning with Transformer
    Xian-Feng Han, Yu-Jia Kuang, Guo-Qiang Xiao
    http://arxiv.org/abs/2104.13636v1

    • [cs.CV]Pose-driven Attention-guided Image Generation for Person Re-Identification
    Amena Khatun, Simon Denman, Sridha Sridharan, Clinton Fookes
    http://arxiv.org/abs/2104.13773v1

    • [cs.CV]Preserving Earlier Knowledge in Continual Learning with the Help of All Previous Feature Extractors
    Zhuoyun Li, Changhong Zhong, Sijia Liu, Ruixuan Wang, Wei-Shi Zheng
    http://arxiv.org/abs/2104.13614v1

    • [cs.CV]Preserving Semantic Consistency in Unsupervised Domain Adaptation Using Generative Adversarial Networks
    Mohammad Mahfujur Rahman, Clinton Fookes, Sridha Sridharan
    http://arxiv.org/abs/2104.13725v1

    • [cs.CV]Revisiting Skeleton-based Action Recognition
    Haodong Duan, Yue Zhao, Kai Chen, Dian Shao, Dahua Lin, Bo Dai
    http://arxiv.org/abs/2104.13586v1

    • [cs.CV]Robust Face-Swap Detection Based on 3D Facial Shape Information
    Weinan Guan, Wei Wang, Jing Dong, Bo Peng, Tieniu Tan
    http://arxiv.org/abs/2104.13665v1

    • [cs.CV]Segmentation-Based Bounding Box Generation for Omnidirectional Pedestrian Detection
    Masato Tamura, Tomoaki Yoshinaga
    http://arxiv.org/abs/2104.13764v1

    • [cs.CV]Semantic Consistency and Identity Mapping Multi-Component Generative Adversarial Network for Person Re-Identification
    Amena Khatun, Simon Denman, Sridha Sridharan, Clinton Fookes
    http://arxiv.org/abs/2104.13780v1

    • [cs.CV]Semi-Supervised Semantic Segmentation with Pixel-Level Contrastive Learning from a Class-wise Memory Bank
    Inigo Alonso, Alberto Sabater, David Ferstl, Luis Montesano, Ana C. Murillo
    http://arxiv.org/abs/2104.13415v1

    • [cs.CV]Shot Contrastive Self-Supervised Learning for Scene Boundary Detection
    Shixing Chen, Xiaohan Nie, David Fan, Dongqing Zhang, Vimal Bhat, Raffay Hamid
    http://arxiv.org/abs/2104.13537v1

    • [cs.CV]Sign Segmentation with Changepoint-Modulated Pseudo-Labelling
    Katrin Renz, Nicolaj C. Stache, Neil Fox, Gül Varol, Samuel Albanie
    http://arxiv.org/abs/2104.13817v1

    • [cs.CV]SrvfNet: A Generative Network for Unsupervised Multiple Diffeomorphic Shape Alignment
    Elvis Nunez, Andrew Lizarraga, Shantanu H. Joshi
    http://arxiv.org/abs/2104.13449v1

    • [cs.CV]Stochastic Neural Networks for Automatic Cell Tracking in Microscopy Image Sequences of Bacterial Colonies
    Sorena Sarmadi, James J. Winkle, Razan N. Alnahhas, Matthew R. Bennett, Krešimir Josić, Andreas Mang, Robert Azencott
    http://arxiv.org/abs/2104.13482v1

    • [cs.CV]TRECVID 2020: A comprehensive campaign for evaluating video retrieval tasks across multiple application domains
    George Awad, Asad A. Butt, Keith Curtis, Jonathan Fiscus, Afzal Godil, Yooyoung Lee, Andrew Delgado, Jesse Zhang, Eliot Godard, Baptiste Chocot, Lukas Diduch, Jeffrey Liu, Alan F. Smeaton, Yvette Graham, Gareth J. F. Jones, Wessel Kraaij, Georges Quenot
    http://arxiv.org/abs/2104.13473v1

    • [cs.CV]The Algonauts Project 2021 Challenge: How the Human Brain Makes Sense of a World in Motion
    R. M. Cichy, K. Dwivedi, B. Lahner, A. Lascelles, P. Iamshchinina, M. Graumann, A. Andonian, N. A. R. Murty, K. Kay, G. Roig, A. Oliva
    http://arxiv.org/abs/2104.13714v1

    • [cs.CV]Towards Fair Federated Learning with Zero-Shot Data Augmentation
    Weituo Hao, Mostafa El-Khamy, Jungwon Lee, Jianyi Zhang, Kevin J Liang, Changyou Chen, Lawrence Carin
    http://arxiv.org/abs/2104.13417v1

    • [cs.CV]Twins: Revisiting Spatial Attention Design in Vision Transformers
    Xiangxiang Chu, Zhi Tian, Yuqing Wang, Bo Zhang, Haibing Ren, Xiaolin Wei, Huaxia Xia, Chunhua Shen
    http://arxiv.org/abs/2104.13840v1

    • [cs.CV]Two stages for visual object tracking
    Fei Chen, Xiaodong Wang
    http://arxiv.org/abs/2104.13648v1

    • [cs.CV]ZePHyR: Zero-shot Pose Hypothesis Rating
    Brian Okorn, Qiao Gu, Martial Hebert, David Held
    http://arxiv.org/abs/2104.13526v1

    • [cs.CV]Zero-Shot Detection via Vision and Language Knowledge Distillation
    Xiuye Gu, Tsung-Yi Lin, Weicheng Kuo, Yin Cui
    http://arxiv.org/abs/2104.13921v1

    • [cs.CV][Re] Don’t Judge an Object by Its Con
    11ce
    text: Learning to Overcome Contextual Bias**
    Sunnie S. Y. Kim, Sharon Zhang, Nicole Meister, Olga Russakovsky
    http://arxiv.org/abs/2104.13582v1

    • [cs.CY]Leveraging Community and Author Context to Explain the Performance and Bias of Text-Based Deception Detection Models
    Galen Weld, Ellyn Ayton, Tim Althoff, Maria Glenski
    http://arxiv.org/abs/2104.13490v1

    • [cs.CY]The Evolution of Rumors on a Closed Platform during COVID-19
    Andrea W Wang, Jo-Yu Lan, Chihhao Yu, Ming-Hung Wang
    http://arxiv.org/abs/2104.13816v1

    • [cs.CY]Understanding and Avoiding AI Failures: A Practical Guide
    Robert Williams
    http://arxiv.org/abs/2104.12582v2

    • [cs.DC]Communication Costs in a Geometric Communication Network
    Sima Hajiaghaei Shanjani, Valerie King
    http://arxiv.org/abs/2104.13499v1

    • [cs.DC]Faa$T: A Transparent Auto-Scaling Cache for Serverless Applications
    Francisco Romero, Gohar Irfan Chaudhry, Íñigo Goiri, Pragna Gopa, Paul Batum, Neeraja J. Yadwadkar, Rodrigo Fonseca, Christos Kozyrakis, Ricardo Bianchini
    http://arxiv.org/abs/2104.13869v1

    • [cs.DC]Pronto: Federated Task Scheduling
    Andreas Grammenos, Evangelia Kalyvianaki, Peter Pietzuch
    http://arxiv.org/abs/2104.13429v1

    • [cs.DC]Towards Decentralized Complex Queries over Distributed Ledgers: a Data Marketplace Use-case
    Mirko Zichichi, Luca Serena, Stefano Ferretti, Gabriele D’Angelo
    http://arxiv.org/abs/2104.13819v1

    • [cs.DL]Top-tier and predatory alike? A lexical structure perspective from the Academy of Management Journal and Espacios
    Julian D. Cortes
    http://arxiv.org/abs/2104.13508v1

    • [cs.DS]Hypersuccinct Trees — New universal tree source codes for optimal compressed tree data structures
    J. Ian Munro, Patrick K. Nicholson, Louisa Seelbach Benkner, Sebastian Wild
    http://arxiv.org/abs/2104.13457v1

    • [cs.IR]Meta-evaluation of Conversational Search Evaluation Metrics
    Zeyang Liu, Ke Zhou, Max L. Wilson
    http://arxiv.org/abs/2104.13453v1

    • [cs.IR]QuTI! Quantifying Text-Image Consistency in Multimodal Documents
    Matthias Springstein, Eric Müller-Budack, Ralph Ewerth
    http://arxiv.org/abs/2104.13748v1

    • [cs.IR]Societal Biases in Retrieved Contents: Measurement Framework and Adversarial Mitigation for BERT Rankers
    Navid Rekabsaz, Simone Kopeinik, Markus Schedl
    http://arxiv.org/abs/2104.13640v1

    • [cs.IT]A Survey on User-Centric Cell-Free Massive MIMO Systems
    Shuaifei Chen, Jiayi Zhang, Jing Zhang, Emil Björnson, Bo Ai
    http://arxiv.org/abs/2104.13667v1

    • [cs.IT]A coding theorem for the rate-distortion-perception function
    Lucas Theis, Aaron B. Wagner
    http://arxiv.org/abs/2104.13662v1

    • [cs.IT]CRC Codes as Error Correction Codes
    Wei An, Muriel Médard, Ken R. Duffy
    http://arxiv.org/abs/2104.13663v1

    • [cs.IT]CRC-Aided List Decoding of Convolutional Codes in the Short Blocklength Regime
    Hengjie Yang, Ethan Liang, Minghao Pan, Richard Wesel
    http://arxiv.org/abs/2104.13905v1

    • [cs.IT]Joint AP Association and PCS Threshold Selection in Dense Full-duplex Wireless Networks
    Phillip B. Oni, Steven D. Blostein
    http://arxiv.org/abs/2104.13574v1

    • [cs.IT]Low-Complexity Distance-Based Scheduling for Multi-User XL-MIMO Systems
    José P. González-Coma, F. Javier López-Martínez, Luis Castedo
    http://arxiv.org/abs/2104.13690v1

    • [cs.IT]Non-Coherent Fast-Forward Relays for Full-Duplex Jamming Attack
    Vivek Chaudhary, J. Harshan
    http://arxiv.org/abs/2104.13583v1

    • [cs.IT]Resource Allocation for Millimeter-Wave Train-Ground Communications in High-Speed Railway Scenarios
    Xiangfei Zhang, Yong Niu, Shiwen Mao, Yunlong Cai, Ruisi He, Bo Ai, Zhangdui Zhong, Yiru Liu
    http://arxiv.org/abs/2104.13623v1

    • [cs.IT]The dually flat information geometry of the mixture family of two prescribed Cauchy components
    Frank Nielsen
    http://arxiv.org/abs/2104.13801v1

    • [cs.IT]Topological Content Delivery with Feedback and Random Receiver Cache
    Alireza Vahid
    http://arxiv.org/abs/2104.13556v1

    • [cs.LG]A Generalized Projected Bellman Error for Off-policy Value Estimation in Reinforcement Learning
    Andrew Patterson, Adam White, Sina Ghiassian, Martha White
    http://arxiv.org/abs/2104.13844v1

    • [cs.LG]A Note on Connecting Barlow Twins with Negative-Sample-Free Contrastive Learning
    Yao-Hung Hubert Tsai, Shaojie Bai, Louis-Philippe Morency, Ruslan Salakhutdinov
    http://arxiv.org/abs/2104.13712v1

    • [cs.LG]A Reinforcement Learning Environment for Polyhedral Optimizations
    Alexander Brauckmann, Andrés Goens, Jeronimo Castrillon
    http://arxiv.org/abs/2104.13732v1

    • [cs.LG]An Energy-Based View of Graph Neural Networks
    John Y. Shin, Prathamesh Dharangutte
    http://arxiv.org/abs/2104.13492v1

    • [cs.LG]Autoregressive Dynamics Models for Offline Policy Evaluation and Optimization
    Michael R. Zhang, Tom Le Paine, Ofir Nachum, Cosmin Paduraru, George Tucker, Ziyu Wang, Mohammad Norouzi
    http://arxiv.org/abs/2104.13877v1

    • [cs.LG]Deep physical neural networks enabled by a backpropagation algorithm for arbitrary physical systems
    Logan G. Wright, Tatsuhiro Onodera, Martin M. Stein, Tianyu Wang, Darren T. Schachter, Zoey Hu, Peter L. McMahon
    http://arxiv.org/abs/2104.13386v1

    • [cs.LG]Fair-Capacitated Clustering
    Tai Le Quy, Arjun Roy, Gunnar Friege, Eirini Ntoutsi
    http://arxiv.org/abs/2104.12116v2

    • [cs.LG]FastAdaBelief: Improving Convergence Rate for Belief-based Adaptive Optimizer by Strong Convexity
    Yangfan Zhou, Kaizhu Huang, Cheng Cheng, Xuguang Wang, Xin Liu
    http://arxiv.org/abs/2104.13790v1

    • [cs.LG]Finding High-Value Training Data Subset through Differentiable Convex Programming
    Soumi Das, Arshdeep Singh, Saptarshi Chatterjee, Suparna Bhattacharya, Sourangshu Bhattacharya
    http://arxiv.org/abs/2104.13794v1

    • [cs.LG]Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
    Michael M. Bronstein, Joan Bruna, Taco Cohen, Petar Veličković
    http://arxiv.org/abs/2104.13478v1

    • [cs.LG]Graph Decoupling Attention Markov Networks for Semi-supervised Graph Node Classification
    Jie Chen, Shouzhen Chen, Mingyuan Bai, Jian Pu, Junping Zhang, Junbin Gao
    http://arxiv.org/abs/2104.13718v1

    • [cs.LG]Improved and Efficient Text Adversarial Attacks using Target Information
    Mahmoud Hossam, Trung Le, He Zhao, Viet Huynh, Dinh Phung
    http://arxiv.org/abs/2104.13484v1

    • [cs.LG]Information Interaction Profile of Choice Adoption
    Gaël Poux-Médard, Julien Velcin, Sabine Loudcher
    http://arxiv.org/abs/2104.13695v1

    • [cs.LG]Learning Fair Canonical Polyadical Decompositions using a Kernel Independence Criterion
    Kevin Kim, Alex Gittens
    http://arxiv.org/abs/2104.13504v1

    • [cs.LG]Learning deep autoregressive models for hierarchical data
    Carl R. Andersson, Niklas Wahlström, Thomas B. Schön
    http://arxiv.org/abs/2104.13853v1

    • [cs.LG]MLDemon: Deployment Monitoring for Machine Learning Systems
    Antonio Ginart, Martin Zhang, James Zou
    http://arxiv.org/abs/2104.13621v1

    • [cs.LG]NUQSGD: Provably Communication-efficient Data-parallel SGD via Nonuniform Quantization
    Ali Ramezani-Kebrya, Fartash Faghri, Ilya Markov, Vitalii Aksenov, Dan Alistarh, Daniel M. Roy
    http://arxiv.org/abs/2104.13818v1

    • [cs.LG]Policy Manifold Search: Exploring the Manifold Hypothesis for Diversity-based Neuroevolution
    Nemanja Rakicevic, Antoine Cully, Petar Kormushev
    http://arxiv.org/abs/2104.13424v1

    • [cs.LG]Predicting traffic signals on transportation networks using spatio-temporal correlations on graphs
    Semin Kwak, Nikolas Geroliminis, Pascal Frossard
    http://arxiv.org/abs/2104.13414v1

    • [cs.LG]PyTorch Tabular: A Framework for Deep Learning with Tabular Data
    Manu Joseph
    http://arxiv.org/abs/2104.13638v1

    • [cs.LG]Reconstructing nodal pressures in water distribution systems with graph neural networks
    Gergely Hajgató, Bálint Gyires-Tóth, György Paál
    http://arxiv.org/abs/2104.13619v1

    • [cs.LG]Reward (Mis)design for Autonomous Driving
    W. Bradley Knox, Alessandro Allievi, Holger Banzhaf, Felix Schmitt, Peter Stone
    http://arxiv.org/abs/2104.13906v1

    • [cs.LG]Risk Bounds for Over-parameterized Maximum Margin Classification on Sub-Gaussian Mixtures
    Yuan Cao, Quanquan Gu, Mikhail Belkin
    http://arxiv.org/abs/2104.13628v1

    • [cs.LG]Semi-On-Policy Training for Sample Efficient Multi-Agent Policy Gradients
    Bozhidar Vasilev, Tarun Gupta, Bei Peng, Shimon Whiteson
    http://arxiv.org/abs/2104.13446v1

    • [cs.LG]Sum-of-norms clustering does not separate nearby balls
    Alexander Dunlap, Jean-Christophe Mourrat
    http://arxiv.org/abs/2104.13753v1

    • [cs.LG]Text Generation with Deep Variational GAN
    Mahmoud Hossam, Trung Le, Michael Papasimeon, Viet Huynh, Dinh Phung
    http://arxiv.org/abs/2104.13488v1

    • [cs.NE]Entropy-Based Evolutionary Diversity Optimisation for the Traveling Salesperson Problem
    Adel Nikfarjam, Jakob Bossek, Aneta Neumann, Frank Neumann
    http://arxiv.org/abs/2104.13538v1

    • [cs.NE]SpikE: spike-based embeddings for multi-relational graph data
    Dominik Dold, Josep Soler Garrido
    http://arxiv.org/abs/2104.13398v1

    • [cs.RO]Development of global optimal coverage control using multiple aerial robots
    Kazuki Shibata, Tatsuya Miyano, Tomohiko Jimbo
    http://arxiv.org/abs/2104.13591v1

    • [cs.RO]End-to-End Intersection Handling using Multi-Agent Deep Reinforcement Learning
    Alessandro Paolo Capasso, Paolo Maramotti, Anthony Dell’Eva, Alberto Broggi
    http://arxiv.org/abs/2104.13617v1

    • [cs.RO]Fast Joint Space Model-Predictive Control for Reactive Manipulation
    Mohak Bhardwaj, Balakumar Sundaralingam, Arsalan Mousavian, Nathan Ratliff, Dieter Fox, Fabio Ramos, Byron Boots
    http://arxiv.org/abs/2104.13542v1

    • [cs.RO]Seeing All the Angles: Learning Multiview Manipulation Policies for Contact-Rich Tasks from Demonstrations
    Trevor Ablett, Yifan Zhai, Jonathan Kelly
    http://arxiv.org/abs/2104.13907v1

    • [cs.RO]Shared Control of Robot-Robot Collaborative Lifting with Agent Postural and Force Ergonomic Optimization
    Lorenzo Rapetti, Yeshasvi Tirupachuri, Alberto Ranavolo, Tomohiro Kawakami, Takahide Yoshiike, Daniele Pucci
    http://arxiv.org/abs/2104.13630v1

    • [cs.SE]Interactive Visualization for Exploring Information Fragments in Software Repositories
    Youngtaek Kim, Hyeon Jeon, Kiroong Choe, Hyunjoo Song, Bohyoung Kim, Jinwook Seo
    http://arxiv.org/abs/2104.13568v1

    • [cs.SE]Medical device regulation efforts for mHealth apps — An experience report of Corona Check and Corona Health
    Marc Holfelder, Lena Mulansky, Winfried Schlee, Harald Baumeister, Johannes Schobel, Helmut Greger, Andreas Hoff, Rüdiger Pryss
    http://arxiv.org/abs/2104.13635v1

    • [cs.SI]Can the Wikipedia moderation model rescue the social marketplace of ideas?
    Taha Yasseri, Filippo Menczer
    http://arxiv.org/abs/2104.13754v1

    • [econ.EM]Sequential Search Models: A Pairwise Maximum Rank Approach
    Jiarui Liu
    http://arxiv.org/abs/2104.13865v1

    • [econ.GN]The Future of Employment Revisited: How Model Selection Determines Automation Forecasts
    Fabian Stephany, Hanno Lorenz
    http://arxiv.org/abs/2104.13747v1

    • [eess.AS]AMSS-Net: Audio Manipulation on User-Specified Sources with Textual Queries
    Woosung Choi, Minseok Kim, Marco A. Martínez Ramírez, Jaehwa Chung, Soonyoung Jung
    http://arxiv.org/abs/2104.13553v1

    • [eess.AS]DASEE A Synthetic Database of Domestic Acoustic Scenes and Events in Dementia Patients Environment
    Abigail Copiaco, Christian Ritz, Stefano Fasciani, Nidhal Abdulaziz
    http://arxiv.org/abs/2104.13423v1

    • [eess.AS]IDMT-Traffic: An Open Benchmark Dataset for Acoustic Traffic Monitoring Research
    Jakob Abeßer, Saichand Gourishetti, András Kátai, Tobias Clauß, Prachi Sharma, Judith Liebetrau
    http://arxiv.org/abs/2104.13620v1

    • [eess.IV]Deep Learning Body Region Classification of MRI and CT examinations
    Philippe Raffy, Jean-François Pambrun, Ashish Kumar, David Dubois, Jay Waldron Patti, Robyn Alexandra Cairns, Ryan Young
    http://arxiv.org/abs/2104.13826v1

    • [eess.IV]Deep Two-Stage High-Resolution Image Inpainting
    Andrey Moskalenko, Mikhail Erofeev, Dmitriy Vatolin
    http://arxiv.org/abs/2104.13464v1

    • [eess.IV]Image Synthesis as a Pretext for Unsupervised Histopathological Diagnosis
    Dejan Stepec, Danijel Skocaj
    http://arxiv.org/abs/2104.13797v1

    • [eess.IV]LambdaUNet: 2.5D Stroke Lesion Segmentation of Diffusion-weighted MR Images
    Yanglan Ou, Ye Yuan, Xiaolei Huang, Kelvin Wong, John Volpi, James Z. Wang, Stephen T. C. Wong
    http://arxiv.org/abs/2104.13917v1

    • [eess.IV]Multi-scale Deep Learning Architecture for Nucleus Detection in Renal Cell Carcinoma Microscopy Image
    Shiba Kuanar, Vassilis Athitsos, Dwarikanath Mahapatra, Anand Rajan
    http://arxiv.org/abs/2104.13557v1

    • [eess.IV]Recent Advances on Non-Line-of-Sight Imaging: Conventional Physical Models, Deep Learning, and New Scenes
    Ruixu Geng, Yang Hu, Yan Chen
    http://arxiv.org/abs/2104.13807v1

    • [eess.IV]Unsupervised Detection of Cancerous Regions in Histology Imagery using Image-to-Image Translation
    Dejan Stepec, Danijel Skocaj
    http://arxiv.org/abs/2104.13786v1

    • [eess.SP]Packet-Loss-Tolerant Split Inference for Delay-Sensitive Deep Learning in Lossy Wireless Networks
    Sohei Itahara, Takayuki Nishio, Koji Yamamoto
    http://arxiv.org/abs/2104.13629v1

    • [eess.SP]Weighed
    Abiy Tasissa, Pranay Tankala, Demba Ba
    http://arxiv.org/abs/2104.13894v1

    • [eess.SY]Communication Topology Co-Design in Graph Recurrent Neural Network Based Distributed Control
    Fengjun Yang, Nikolai Matni
    http://arxiv.org/abs/2104.13868v1

    • [math.DS]Discovery of slow variables in a class of multiscale stochastic systems via neural networks
    Przemyslaw Zielinski, Jan S. Hesthaven
    http://arxiv.org/abs/2104.13911v1

    • [math.DS]Poncelet Plectra: Harmonious Properties of Cosine Space
    Daniel Jaud, Dan Reznik, Ronaldo Garcia
    http://arxiv.org/abs/2104.13174v2

    • [math.PR]A Gaussian approximation theorem for Lévy processes
    David Bang, Jorge Ignacio González Cázares, Aleksandar Mijatović
    http://arxiv.org/abs/2104.13855v1

    • [math.PR]Continuous-time locally stationary time series models
    Annemarie Bitter, Robert Stelzer, Bennet Ströh
    http://arxiv.org/abs/org/abs/2104.13796v1

    • [math.ST]A general procedure for change-point detection in multivariate time series
    Mamadou Lamine Diop, William Kengne
    http://arxiv.org/abs/2104.13789v1

    • [math.ST]Approximating the Spectral Gap of the Pólya-Gamma Gibbs Sampler
    Bryant Davis, James P. Hobert
    http://arxiv.org/abs/2104.13419v1

    • [math.ST]Changepoint detection in random coefficient autoregressive models
    Lajos Horvath, Lorenzo Trapani
    http://arxiv.org/abs/2104.13440v1

    • [math.ST]Detection of Signal in the Spiked Rectangular Models
    Ji Hyung Jung, Hye Won Chung, Ji Oon Lee
    http://arxiv.org/abs/2104.13517v1

    • [math.ST]Failure extropy, dynamic failure extropy and their weighted versions
    Suchandan Kayal
    http://arxiv.org/abs/2104.13705v1

    • [physics.comp-ph]Discovering nonlinear resonances through physics-informed machine learning
    G. D. Barmparis, G. P. Tsironis
    http://arxiv.org/abs/2104.13471v1

    • [physics.optics]An optical neural network using less than 1 photon per multiplication
    Tianyu Wang, Shi-Yuan Ma, Logan G. Wright, Tatsuhiro Onodera, Brian Richard, Peter L. McMahon
    http://arxiv.org/abs/2104.13467v1

    • [quant-ph]Exploiting Degeneracy in Belief Propagation Decoding of Quantum Codes
    Kao-Yueh Kuo, Ching-Yi Lai
    http://arxiv.org/abs/2104.13659v1

    • [stat.AP]Yield forecasting with machine learning and small data: what gains for grains?
    Michele Meroni, François Waldner, Lorenzo Seguini, Hervé Kerdiles, Felix Rembold
    http://arxiv.org/abs/2104.13246v2

    • [stat.ME]Causes of Effects: Learning individual responses from population data
    Scott Mueller, Ang Li, Judea Pearl
    http://arxiv.org/abs/2104.13730v1

    • [stat.ME]Distributional Results for Model-Based Intrinsic Dimension Estimators
    Francesco Denti, Diego Doimo, Alessandro Laio, Antonietta Mira
    http://arxiv.org/abs/2104.13832v1

    • [stat.ME]Estimation of Poisson Autoregressive Model for Multiple Time Series
    Paolo Victor T. Redondo, Joseph Ryan G. Lansangan, Erniel B. Barrios
    http://arxiv.org/abs/2104.13520v1

    • [stat.ME]Finite-sample Efficient Conformal Prediction
    Yachong Yang, Arun Kumar Kuchibhotla
    http://arxiv.org/abs/2104.13871v1

    • [stat.ME]Improved log-Gaussian approximation for over-dispersed Poisson regression: application to spatial analysis of COVID-19
    Daisuke Murakami, Tomoko Matsui
    http://arxiv.org/abs/2104.13588v1

    • [stat.ME]On the Limiting Distribution of Sieve VAR(
    Giovanni Ballarin
    http://arxiv.org/abs/2104.13693v1

    • [stat.ME]Path Analysis for Binary Random Variables
    Martina Raggi, Elena Stanghellini, Marco Doretti
    http://arxiv.org/abs/2104.13775v1

    • [stat.ME]Propensity Score Estimation Using Density Ratio Model under Item Nonresponse
    Hengfang Wang, Jae Kwang Kim
    http://arxiv.org/abs/2104.13469v1

    • [stat.ME]Statistical Inference in a Spatial-Temporal Stochastic Frontier Model
    Erniel B. Barrios, John D. Eustaquio, Rouselle F. Lavado
    http://arxiv.org/abs/2104.13524v1

    • [stat.ML]Distributional Gaussian Process Layers for Outlier Detection in Image Segmentation
    Sebastian G. Popescu, David J. Sharp, James H. Cole, Konstantinos Kamnitsas, Ben Glocker
    http://arxiv.org/abs/2104.13756v1

    • [stat.ML]Optimal Stopping via Randomized Neural Networks
    Calypso Herrera, Florian Krach, Pierre Ruyssen, Josef Teichmann
    http://arxiv.org/abs/2104.13669v1

    • [stat.ML]Phenotyping OSA: a time series analysis using fuzzy clustering and persistent homology
    Prachi Loliencar, Giseon Heo
    http://arxiv.org/abs/2104.13479v1

    • [stat.ML]Robust Classification via Support Vector Machines
    Vali Asimit, Ioannis Kyriakou, Simone Santoni, Salvatore Scognamiglio, Rui Zhu
    http://arxiv.org/abs/2104.13458v1

    • [stat.ML]Self-Bounding Majority Vote Learning Algorithms by the Direct Minimization of a Tight PAC-Bayesian C-Bound
    Paul Viallard, Pascal Germain, Amaury Habrard, Emilie Morvant
    http://arxiv.org/abs/2104.13626v1

    • [stat.ML]Universal Consistency of Decision Trees for High Dimensional Additive Models
    Jason M. Klusowski
    http://arxiv.org/abs/2104.13881v1