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 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() 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