astro-ph.IM - 仪器仪表和天体物理学方法
    cs.AI - 人工智能
    cs.CC - 计算复杂度
    cs.CL - 计算与语言
    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.FL - 形式语言与自动机理论
    cs.HC - 人机接口
    cs.IR - 信息检索
    cs.IT - 信息论
    cs.LG - 自动学习
    cs.MA - 多代理系统
    cs.NE - 神经与进化计算
    cs.RO - 机器人学
    cs.SD - 声音处理
    cs.SE - 软件工程
    cs.SI - 社交网络与信息网络
    eess.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.CO - 组合数学
    math.DG - 微分几何
    math.OC - 优化与控制
    math.ST - 统计理论
    physics.ins-det - 仪器和探测器
    physics.med-ph - 医学物理学
    physics.soc-ph - 物理学与社会
    q-bio.PE - 人口与发展
    q-bio.QM - 定量方法
    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

    • [astro-ph.IM]Drifting Features: Detection and evaluation in the context ofautomatic RRLs identification in VVV
    • [cs.AI]Commonsense Knowledge Base Construction in the Age of Big Data
    • [cs.AI]Efficient Strategy Synthesis for MDPs with Resource Constraints
    • [cs.AI]Foundations of Intelligence in Natural and Artificial Systems: A Workshop Report
    • [cs.AI]LEGOEval: An Open-Source Toolkit for Dialogue System Evaluation via Crowdsourcing
    • [cs.AI]XAI-KG: knowledge graph to support XAI and decision-making in manufacturing
    • [cs.CC]Reconstruction Algorithms for Low-Rank Tensors and Depth-3 Multilinear Circuits
    • [cs.CL]Conversational Machine Reading Comprehension for Vietnamese Healthcare Texts
    • [cs.CL]Data Augmentation by Concatenation for Low-Resource Translation: A Mystery and a Solution
    • [cs.CL]Do Natural Language Explanations Represent Valid Logical Arguments? Verifying Entailment in Explainable NLI Gold Standards
    • [cs.CL]Evaluation Of Word Embeddings From Large-Scale French Web Content
    • [cs.CL]ExcavatorCovid: Extracting Events and Relations from Text Corpora for Temporal and Causal Analysis for COVID-19
    • [cs.CL]Full-Sentence Models Perform Better in Simultaneous Translation Using the Information Enhanced Decoding Strategy
    • [cs.CL]GTN-ED: Event Detection Using Graph Transformer Networks
    • [cs.CL]HerBERT: Efficiently Pretrained Transformer-based Language Model for Polish
    • [cs.CL]Mind Reading at Work: Cooperation without common ground
    • [cs.CL]Rare Disease Identification from Clinical Notes with Ontologies and Weak Supervision
    • [cs.CV]3D Vehicle Detection Using Camera and Low-Resolution LiDAR
    • [cs.CV]4DComplete: Non-Rigid Motion Estimation Beyond the Observable Surface
    • [cs.CV]A Fast Partial Video Copy Detection Using KNN and Global Feature Database
    • [cs.CV]AdaVQA: Overcoming Language Priors with Adapted Margin Cosine Loss
    • [cs.CV]Addressing Annotation Imprecision for Tree Crown Delineation Using the RandCrowns Index
    • [cs.CV]Bayesian Logistic Shape Model Inference: application to cochlea image segmentation
    • [cs.CV]Conditional Invertible Neural Networks for Diverse Image-to-Image Translation
    • [cs.CV]Contrastive Learning and Self-Training for Unsupervised Domain Adaptation in Semantic Segmentation
    • [cs.CV]Cuboids Revisited: Learning Robust 3D Shape Fitting to Single RGB Images
    • [cs.CV]Deep Spherical Manifold Gaussian Kernel for Unsupervised Domain Adaptation
    • [cs.CV]DeepPlastic: A Novel Approach to Detecting Epipelagic Bound Plastic Using Deep Visual Models
    • [cs.CV]Effectively Leveraging Attributes for Visual Similarity
    • [cs.CV]Encoder Fusion Network with Co-Attention Embedding for Referring Image Segmentation
    • [cs.CV]FLEX: Parameter-free Multi-view 3D Human Motion Reconstruction
    • [cs.CV]Function4D: Real-time Human Volumetric Capture from Very Sparse Consumer RGBD Sensors
    • [cs.CV]GANs for Urban Design
    • [cs.CV]Height Estimation of Children under Five Years using Depth Images
    • [cs.CV]Impact of individual rater style on deep learning uncertainty in medical imaging segmentation
    • [cs.CV]Instance segmentation of fallen trees in aerial color infrared imagery using active multi-contour evolution with fully convolutional network-based intensity priors
    • [cs.CV]Intensity Harmonization for Airborne LiDAR
    • [cs.CV]LAFFNet: A Lightweight Adaptive Feature Fusion Network for Underwater Image Enhancement
    • [cs.CV]Learning Feature Aggregation for Deep 3D Morphable Models
    • [cs.CV]Leveraging Third-Order Features in Skeleton-Based Action Recognition
    • [cs.CV]MCGNet: Partial Multi-view Few-shot Learning via Meta-alignment and Context Gated-aggregation
    • [cs.CV]MOS: Towards Scaling Out-of-distribution Detection for Large Semantic Space
    • [cs.CV]Moving SLAM: Fully Unsupervised Deep Learning in Non-Rigid Scenes
    • [cs.CV]Multi-scale Image Decomposition using a Local Statistical Edge Model
    • [cs.CV]Novelty Detection and Analysis of Traffic Scenario Infrastructures in the Latent Space of a Vision Transformer-Based Triplet Autoencoder
    • [cs.CV]PD-GAN: Probabilistic Diverse GAN for Image Inpainting
    • [cs.CV]Pairwise Point Cloud Registration using Graph Matching and Rotation-invariant Features
    • [cs.CV]Physically Inspired Dense Fusion Networks for Relighting
    • [cs.CV]PingAn-VCGroup’s Solution for ICDAR 2021 Competition on Scientific Literature Parsing Task B: Table Recognition to HTML
    • [cs.CV]PingAn-VCGroup’s Solution for ICDAR 2021 Competition on Scientific Table Image Recognition to Latex
    • [cs.CV]PolarMask++: Enhanced Polar Representation for Single-Shot Instance Segmentation and Beyond
    • [cs.CV]Proposal-free One-stage Referring Expression via Grid-Word Cross-Attention
    • [cs.CV]Prototype Memory for Large-scale Face Representation Learning
    • [cs.CV]QueryInst: Parallelly Supervised Mask Query for Instance Segmentation
    • [cs.CV]Real-time Deep Dynamic Characters
    • [cs.CV]Real-time Face Mask Detection in Video Data
    • [cs.CV]RepMLP: Re-parameterizing Convolutions into Fully-connected Layers for Image Recognition
    • [cs.CV]SeaDronesSee: A Maritime Benchmark for Detecting Humans in Open Water
    • [cs.CV]Self-Supervised Multi-Frame Monocular Scene Flow
    • [cs.CV]Spectral Machine Learning for Pancreatic Mass Imaging Classification
    • [cs.CV]Texture for Colors: Natural Representations of Colors Using Variable Bit-Depth Textures
    • [cs.CV]The Pursuit of Knowledge: Discovering and Localizing Novel Categories using Dual Memory
    • [cs.CV]Towards Self-Supervision for Video Identification of Individual Holstein-Friesian Cattle: The Cows2021 Dataset
    • [cs.CV]Towards an efficient framework for Data Extraction from Chart Images
    • [cs.CV]TransHash: Transformer-based Hamming Hashing for Efficient Image Retrieval
    • [cs.CV]Visual Composite Set Detection Using Part-and-Sum Transformers
    • [cs.CV]VoxelContext-Net: An Octree based Framework for Point Cloud Compression
    • [cs.CV]Weakly Supervised Pseudo-Label assisted Learning for ALS Point Cloud Semantic Segmentation
    • [cs.CY]Assessing the embodied carbon footprint of IoT edge devices with a bottom-up life-cycle approach
    • [cs.CY]Envisioning Communities: A Participatory Approach Towards AI for Social Good
    • [cs.CY]Ethics and Governance of Artificial Intelligence: Evidence from a Survey of Machine Learning Researchers
    • [cs.CY]Surveilling Surveillance: Estimating the Prevalence of Surveillance Cameras with Street View Data
    • [cs.CY]The Best Thresholds for Rapid Identification of Episodic and Chronic Homeless Shelter Use
    • [cs.DC]ABET Accreditation: A Way Forward for PDC Education
    • [cs.DC]DeepRT: A Soft Real Time Scheduler for Computer Vision Applications on the Edge
    • [cs.DC]GRAPHOPT: constrained optimization-based parallelization of irregular graphs
    • [cs.DC]Pervasive AI for IoT Applications: Resource-efficient Distributed Artificial Intelligence
    • [cs.DC]Public Communication can Facilitate Low-Risk Coordination under Surveillance
    • [cs.DC]ScissionLite: Accelerating Distributed Deep Neural Networks Using Transfer Layer
    • [cs.DC]The Complexity of Symmetry Breaking in Massive Graphs
    • [cs.FL]Polynomial Graph Parsing with Non-Structural Reentrancies
    • [cs.HC]Does the Goal Matter? Emotion Recognition Tasks Can Change the Social Value of Facial Mimicry towards Artificial Agents
    • [cs.HC]Evaluating Metrics for Standardized Benchmarking of Remote Presence Systems
    • [cs.HC]Exploring emotional prototypes in a high dimensional TTS latent space
    • [cs.HC]WaveGlove: Transformer-based hand gesture recognition using multiple inertial sensors
    • [cs.IR]Audio Retrieval with Natural Language Queries
    • [cs.IR]Retrieving Complex Tables with Multi-Granular Graph Representation Learning
    • [cs.IR]When Fair Ranking Meets Uncertain Inference
    • [cs.IT]今日学术视野(2021.5.7) - 图1-Approximate Coded Matrix Multiplication is Nearly Twice as Efficient as Exact Multiplication
    • [cs.IT]An Algorithmic Approach to Entanglement-Assisted Quantum Error-Correcting Codes from the Hermitian Curve
    • [cs.IT]Coded Compressed Sensing with Successive Cancellation List Decoding for Unsourced Random Access with Massive MIMO
    • [cs.IT]Cooperative Network Coding for Distributed Storage using Base Stations with Link Constraints
    • [cs.IT]Formally Justifying MDL-based Inference of Cause and Effect
    • [cs.IT]Generalized Selection in Wireless Powered Networks with Non-Linear Energy Harvesting
    • [cs.IT]Improved Singleton bound on insertion-deletion codes and optimal constructions
    • [cs.IT]Massive MIMO-NOMA Systems Secrecy in the Presence of Active Eavesdroppers
    • [cs.LG]A Theoretical-Empirical Approach to Estimating Sample Complexity of DNNs
    • [cs.LG]Attack-agnostic Adversarial Detection on Medical Data Using Explainable Machine Learning
    • [cs.LG]Broadly Applicable Targeted Data Sample Omission Attacks
    • [cs.LG]Change Matters: Medication Change Prediction with Recurrent Residual Networks
    • [cs.LG]CoSA: Scheduling by Constrained Optimization for Spatial Accelerators
    • [cs.LG]Continual Learning on the Edge with TensorFlow Lite
    • [cs.LG]Data-Efficient Reinforcement Learning for Malaria Control
    • [cs.LG]Generative Adversarial Reward Learning for Generalized Behavior Tendency Inference
    • [cs.LG]How Fine-Tuning Allows for Effective Meta-Learning
    • [cs.LG]Improved Surrogate Modeling of Fluid Dynamics with Physics-Informed Neural Networks
    • [cs.LG]Information Complexity and Generalization Bounds
    • [cs.LG]MiCE: Mixture of Contrastive Experts for Unsupervised Image Clustering
    • [cs.LG]Model-free policy evaluation in Reinforcement Learning via upper solutions
    • [cs.LG]Modulating Regularization Frequency for Efficient Compression-Aware Model Training
    • [cs.LG]Non-Autoregressive vs Autoregressive Neural Networks for System Identification
    • [cs.LG]Ovarian Cancer Detection based on Dimensionality Reduction Techniques and Genetic Algorithm
    • [cs.LG]Perceptual Gradient Networks
    • [cs.LG]Preference learning along multiple criteria: A game-theoretic perspective
    • [cs.LG]Q-Rater: Non-Convex Optimization for Post-Training Uniform Quantization
    • [cs.LG]Reinforcement Learning for Scalable Logic Optimization with Graph Neural Networks
    • [cs.LG]Robust Reconfigurable Intelligent Surfaces via Invariant Risk and Causal Representations
    • [cs.LG]Sampling From the Wasserstein Barycenter
    • [cs.LG]Schematic Memory Persistence and Transience for Efficient and Robust Continual Learning
    • [cs.LG]Sequential Encryption of Sparse Neural Networks Toward Optimum Representation of Irregular Sparsity
    • [cs.LG]Solving Sokoban with backward reinforcement learning
    • [cs.LG]Training Quantized Neural Networks to Global Optimality via Semidefinite Programming
    • [cs.LG]Two-layer neural networks with values in a Banach space
    • [cs.LG]Understanding Long Range Memory Effects in Deep Neural Networks
    • [cs.MA]Calibration of Human Driving Behavior and Preference Using Naturalistic Traffic Data
    • [cs.MA]Density-Aware Federated Imitation Learning for Connected and Automated Vehicles with Unsignalized Intersection
    • [cs.NE]Dynamic Reliability Management in Neuromorphic Computing
    • [cs.NE]NeuroXplorer 1.0: An Extensible Framework for Architectural Exploration with Spiking Neural Networks
    • [cs.RO]A Survey on End-User Robot Programming
    • [cs.RO]Benchmarking Structured Policies and Policy Optimization for Real-World Dexterous Object Manipulation
    • [cs.RO]Challenges and Outlook in Robotic Manipulation of Deformable Objects
    • [cs.RO]Does elderly enjoy playing Bingo with a robot? A case study with the humanoid robot Nadine
    • [cs.RO]Episodic Learning for Safe Bipedal Locomotion with Control Barrier Functions and Projection-to-State Safety
    • [cs.RO]LEADOR: A Method for End-to-End Participatory Design of Autonomous Social Robots
    • [cs.RO]Multi-Modal Loop Closing in Unstructured Planetary Environments with Visually Enriched Submaps
    • [cs.RO]PathBench: A Benchmarking Platform for Classical and Learned Path Planning Algorithms
    • [cs.RO]Real-time Multi-Adaptive-Resolution-Surfel 6D LiDAR Odometry using Continuous-time Trajectory Optimization
    • [cs.RO]Towards End-to-End Deep Learning for Autonomous Racing: On Data Collection and a Unified Architecture for Steering and Throttle Prediction
    • [cs.RO]Training Structured Mechanical Models by Minimizing Discrete Euler-Lagrange Residual
    • [cs.SD]End-to-End Diarization for Variable Number of Speakers with Local-Global Networks and Discriminative Speaker Embeddings
    • [cs.SD]Self-Supervised Learning from Automatically Separated Sound Scenes
    • [cs.SE]RDMSim: An Exemplar for Evaluation and Comparison of Decision-Making Techniques for Self-Adaptation
    • [cs.SE]Software Engineering for AI-Based Systems: A Survey
    • [cs.SI]Comparative Analysis of Box-Covering Algorithms for Fractal Networks
    • [cs.SI]Graph structure based Heuristics for Optimal Targeting in Social Networks
    • [cs.SI]Inclusive Universities. Evidence from the Erasmus Program
    • [cs.SI]Optimally partitioning signed networks based on generalized balance
    • [cs.SI]The Logic of Collective Action Revisited
    • [eess.AS]Towards Interpretable and Transferable Speech Emotion Recognition: Latent Representation Based Analysis of Features, Methods and Corpora
    • [eess.AS]Voice Conversion Based Speaker Normalization for Acoustic Unit Discovery
    • [eess.IV]Attention-based Stylisation for Exemplar Image Colourisation
    • [eess.IV]COVID-19 Detection from Chest X-ray Images using Imprinted Weights Approach
    • [eess.IV]CUAB: Convolutional Uncertainty Attention Block Enhanced the Chest X-ray Image Analysis
    • [eess.IV]Generative Adversarial Networks (GAN) Powered Fast Magnetic Resonance Imaging — Mini Review, Comparison and Perspectives
    • [eess.IV]Joint Registration and Segmentation via Multi-Task Learning for Adaptive Radiotherapy of Prostate Cancer
    • [eess.IV]Lesion Segmentation and RECIST Diameter Prediction via Click-driven Attention and Dual-path Connection
    • [eess.IV]Rethinking Ultrasound Augmentation: A Physics-Inspired Approach
    • [eess.SP]Joint Communication and Radar Sensing with Reconfigurable Intelligent Surfaces
    • [eess.SP]Using Synthetic Data to Enhance the Accuracy of Fingerprint-Based Localization: A Deep Learning Approach
    • [eess.SY]H-TD2: Hybrid Temporal Difference Learning for Adaptive Urban Taxi Dispatch
    • [math.CO]Independent Spaces of q-Polymatroids
    • [math.DG]Curvatures of Stiefel manifolds with deformation metrics
    • [math.OC]Thinking Inside the Ball: Near-Optimal Minimization of the Maximal Loss
    • [math.OC]Two-Stage Stochastic Optimization via Primal-Dual Decomposition and Deep Unrolling
    • [math.ST]A Note on Statistical Inference for Noisy Incomplete 1-Bit Matrix
    • [math.ST]A nonparametric test of independence based on L_1-error
    • [math.ST]A unifying tutorial on Approximate Message Passing
    • [math.ST]AdaBoost and robust one-bit compressed sensing
    • [math.ST]Continuous-time targeted minimum loss-based estimation of intervention-specific mean outcomes
    • [math.ST]Identity testing under label mismatch
    • [math.ST]On the Optimality of Nuclear-norm-based Matrix Completion for Problems with Smooth Non-linear Structure
    • [math.ST]On the mathematical axiomatization of approximate Bayesian computation. A robust set for estimating mechanistic network models through optimal transport
    • [math.ST]The costs and benefits of uniformly valid causal inference with high-dimensional nuisance parameters
    • [math.ST]Transport Dependency: Optimal Transport Based Dependency Measures
    • [physics.ins-det]A reconfigurable neural network ASIC for detector front-end data compression at the HL-LHC
    • [physics.med-ph]Motion Artifact Reduction in Quantitative Susceptibility Mapping using Deep Neural Network
    • [physics.soc-ph]Centralities in complex networks
    • [q-bio.PE]Convergence of maximum likelihood supertree reconstruction
    • [q-bio.QM]Automated scoring of pre-REM sleep in mice with deep learning
    • [quant-ph]Quantum Advantage on Proof of Work
    • [quant-ph]Vulnerability of Blockchain Technologies to Quantum Attacks
    • [quant-ph]Witnessing Bell violations through probabilistic negativity
    • [stat.AP]A Bayesian latent allocation model for clustering compositional data with application to the Great Barrier Reef
    • [stat.AP]Bayesian inference of an uncertain generalized diffusion operator
    • [stat.AP]Blocks as geographic discontinuities: The effect of polling place assignment on voting
    • [stat.AP]Inverse probability of censoring weighting for visual predictive checks of time-to-event models with time-varying covariates
    • [stat.ME]Bayesian Dynamic Estimation of Mortality Schedules in Small Areas
    • [stat.ME]Calibration of prediction rules for life-time outcomes using prognostic Cox regression survival models and multiple imputations to account for missing predictor data with cross-validatory assessment
    • [stat.ME]Goodness of Causal Fit
    • [stat.ME]Identification of causal effects in case-control studies
    • [stat.ML]Nonparametric Trace Regression in High Dimensions via Sign Series Representation

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

    • [astro-ph.IM]Drifting Features: Detection and evaluation in the context ofautomatic RRLs identification in VVV
    J. B. Cabral, M. Lares, S. Gurovich, D. Minniti, P. M. Granitto
    http://arxiv.org/abs/2105.01714v1

    • [cs.AI]Commonsense Knowledge Base Construction in the Age of Big Data
    Simon Razniewski
    http://arxiv.org/abs/2105.01925v1

    • [cs.AI]Efficient Strategy Synthesis for MDPs with Resource Constraints
    František Blahoudek, Petr Novotný, Melkior Ornik, Pranay Thangeda, Ufuk Topcu
    http://arxiv.org/abs/2105.02099v1

    • [cs.AI]Foundations of Intelligence in Natural and Artificial Systems: A Workshop Report
    Tyler Millhouse, Melanie Moses, Melanie Mitchell
    http://arxiv.org/abs/2105.02198v1

    • [cs.AI]LEGOEval: An Open-Source Toolkit for Dialogue System Evaluation via Crowdsourcing
    Yu Li, Josh Arnold, Feifan Yan, Weiyan Shi, Zhou Yu
    http://arxiv.org/abs/2105.01992v1

    • [cs.AI]XAI-KG: knowledge graph to support XAI and decision-making in manufacturing
    Jože M. Rožanec, Patrik Zajec, Klemen Kenda, Inna Novalija, Blaž Fortuna, Dunja Mladenić
    http://arxiv.org/abs/2105.01929v1

    • [cs.CC]Reconstruction Algorithms for Low-Rank Tensors and Depth-3 Multilinear Circuits
    Vishwas Bhargava, Shubhangi Saraf, Ilya Volkovich
    http://arxiv.org/abs/2105.01751v1

    • [cs.CL]Conversational Machine Reading Comprehension for Vietnamese Healthcare Texts
    Son T. Luu, Mao Nguyen Bui, Loi Duc Nguyen, Khiem Vinh Tran, Kiet Van Nguyen, Ngan Luu-Thuy Nguyen
    http://arxiv.org/abs/2105.01542v2

    • [cs.CL]Data Augmentation by Concatenation for Low-Resource Translation: A Mystery and a Solution
    Toan Q. Nguyen, Kenton Murray, David Chiang
    http://arxiv.org/abs/2105.01691v1

    • [cs.CL]Do Natural Language Explanations Represent Valid Logical Arguments? Verifying Entailment in Explainable NLI Gold Standards
    Marco Valentino, Ian Pratt-Hartman, André Freitas
    http://arxiv.org/abs/2105.01974v1

    • [cs.CL]Evaluation Of Word Embeddings From Large-Scale French Web Content
    Hadi Abdine, Christos Xypolopoulos, Moussa Kamal Eddine, Michalis Vazirgiannis
    http://arxiv.org/abs/2105.01990v1

    • [cs.CL]ExcavatorCovid: Extracting Events and Relations from Text Corpora for Temporal and Causal Analysis for COVID-19
    Bonan Min, Benjamin Rozonoyer, Haoling Qiu, Alexander Zamanian, Jessica MacBride
    http://arxiv.org/abs/2105.01819v1

    • [cs.CL]Full-Sentence Models Perform Better in Simultaneous Translation Using the Information Enhanced Decoding Strategy
    Zhengxin Yang
    http://arxiv.org/abs/2105.01893v1

    • [cs.CL]GTN-ED: Event Detection Using Graph Transformer Networks
    Sanghamitra Dutta, Liang Ma, Tanay Kumar Saha, Di Lu, Joel Tetreault, Alejandro Jaimes
    http://arxiv.org/abs/2104.15104v2

    • [cs.CL]HerBERT: Efficiently Pretrained Transformer-based Language Model for Polish
    Robert Mroczkowski, Piotr Rybak, Alina Wróblewska, Ireneusz Gawlik
    http://arxiv.org/abs/2105.01735v1

    • [cs.CL]Mind Reading at Work: Cooperation without common ground
    Peter Wallis
    http://arxiv.org/abs/2105.01949v1

    • [cs.CL]Rare Disease Identification from Clinical Notes with Ontologies and Weak Supervision
    Hang Dong, Víctor Suárez-Paniagua, Huayu Zhang, Minhong Wang, Emma Whitfield, Honghan Wu
    http://arxiv.org/abs/2105.01995v1

    • [cs.CV]3D Vehicle Detection Using Camera and Low-Resolution LiDAR
    Lin Bai, Yiming Zhao, Xinming Huang
    http://arxiv.org/abs/2105.01765v1

    • [cs.CV]4DComplete: Non-Rigid Motion Estimation Beyond the Observable Surface
    Yang Li, Hikari Takehara, Takafumi Taketomi, Bo Zheng, Matthias Nießner
    http://arxiv.org/abs/2105.01905v1

    • [cs.CV]A Fast Partial Video Copy Detection Using KNN and Global Feature Database
    Weijun Tan, Hongwei Guo, Rushuai Liu
    http://arxiv.org/abs/2105.01713v1

    • [cs.CV]AdaVQA: Overcoming Language Priors with Adapted Margin Cosine Loss
    Yangyang Guo, Liqiang Nie, Zhiyong Cheng, Feng Ji, Ji Zhang, Alberto Del Bimbo
    http://arxiv.org/abs/2105.01993v1

    • [cs.CV]Addressing Annotation Imprecision for Tree Crown Delineation Using the RandCrowns Index
    Dylan Stewart, Alina Zare, Sergio Marconi, Ben Weinstein, Ethan White, Sarah Graves, Stephanie Bohlman, Aditya Singh
    http://arxiv.org/abs/2105.02186v1

    • [cs.CV]Bayesian Logistic Shape Model Inference: application to cochlea image segmentation
    Wang Zihao, Demarcy Thomas, Vandersteen Clair, Gnansia Dan, Raffaelli Charles, Guevara Nicolas, Delingette Hervé
    http://arxiv.org/abs/2105.02045v1

    • [cs.CV]Conditional Invertible Neural Networks for Diverse Image-to-Image Translation
    Lynton Ardizzone, Jakob Kruse, Carsten Lüth, Niels Bracher, Carsten Rother, Ullrich Köthe
    http://arxiv.org/abs/2105.02104v1

    • [cs.CV]Contrastive Learning and Self-Training for Unsupervised Domain Adaptation in Semantic Segmentation
    Robert A. Marsden, Alexander Bartler, Mario Döbler, Bin Yang
    http://arxiv.org/abs/2105.02001v1

    • [cs.CV]Cuboids Revisited: Learning Robust 3D Shape Fitting to Single RGB Images
    Florian Kluger, Hanno Ackermann, Eric Brachmann, Michael Ying Yang, Bodo Rosenhahn
    http://arxiv.org/abs/2105.02047v1

    • [cs.CV]Deep Spherical Manifold Gaussian Kernel for Unsupervised Domain Adaptation
    Youshan Zhang, Brian D. Davison
    http://arxiv.org/abs/2105.02089v1

    • [cs.CV]DeepPlastic: A Novel Approach to Detecting Epipelagic Bound Plastic Using Deep Visual Models
    Gautam Tata, Sarah-Jeanne Royer, Olivier Poirion, Jay Lowe
    http://arxiv.org/abs/2105.01882v1

    • [cs.CV]Effectively Leveraging Attributes for Visual Similarity
    Samarth Mishra, Zhongping Zhang, Yuan Shen, Ranjitha Kumar, Venkatesh Saligrama, Bryan Plummer
    http://arxiv.org/abs/2105.01695v1

    • [cs.CV]Encoder Fusion Network with Co-Attention Embedding for Referring Image Segmentation
    Guang Feng, Zhiwei Hu, Lihe Zhang, Huchuan Lu
    http://arxiv.org/abs/2105.01839v1

    • [cs.CV]FLEX: Parameter-free Multi-view 3D Human Motion Reconstruction
    Brian Gordon, Sigal Raab, Guy Azov, Raja Giryes, Daniel Cohen-Or
    http://arxiv.org/abs/2105.01937v1

    • [cs.CV]Function4D: Real-time Human Volumetric Capture from Very Sparse Consumer RGBD Sensors
    Tao Yu, Zerong Zheng, Kaiwen Guo, Pengpeng Liu, Yebin Liu
    http://arxiv.org/abs/2105.01859v1

    • [cs.CV]GANs for Urban Design
    Stanislava Fedorova
    http://arxiv.org/abs/2105.01727v1

    • [cs.CV]Height Estimation of Children under Five Years using Depth Images
    Anusua Trivedi, Mohit Jain, Nikhil Kumar Gupta, Markus Hinsche, Prashant Singh, Markus Matiaschek, Tristan Behrens, Mirco Militeri, Cameron Birge, Shivangi Kaushik, Archisman Mohapatra, Rita Chatterjee, Rahul Dodhia, Juan Lavista Ferres
    http://arxiv.org/abs/2105.01688v1

    • [cs.CV]Impact of individual rater style on deep learning uncertainty in medical imaging segmentation
    Olivier Vincent, Charley Gros, Julien Cohen-Adad
    http://arxiv.org/abs/2105.02197v1

    • [cs.CV]Instance segmentation of fallen trees in aerial color infrared imagery using active multi-contour evolution with fully convolutional network-based intensity priors
    Przemyslaw Polewski, Jacquelyn Shelton, Wei Yao, Marco Heurich
    http://arxiv.org/abs/2105.01998v1

    • [cs.CV]Intensity Harmonization for Airborne LiDAR
    David Jones, Nathan Jacobs
    http://arxiv.org/abs/2105.01793v1

    • [cs.CV]LAFFNet: A Lightweight Adaptive Feature Fusion Network for Underwater Image Enhancement
    Hao-Hsiang Yang, Kuan-Chih Huang, Wei-Ting Chen
    http://arxiv.org/abs/2105.01299v2

    • [cs.CV]Learning Feature Aggregation for Deep 3D Morphable Models
    Zhixiang Chen, Tae-Kyun Kim
    http://arxiv.org/abs/2105.02173v1

    • [cs.CV]Leveraging Third-Order Features in Skeleton-Based Action Recognition
    Zhenyue Qin, Yang Liu, Pan Ji, Dongwoo Kim, Lei Wang, Bob McKay, Saeed Anwar, Tom Gedeon
    http://arxiv.org/abs/2105.01563v2

    • [cs.CV]MCGNet: Partial Multi-view Few-shot Learning via Meta-alignment and Context Gated-aggregation
    Yuan Zhou, Yanrong Guo, Shijie Hao, Richang Hong, Meng Wang
    http://arxiv.org/abs/2105.02046v1

    • [cs.CV]MOS: Towards Scaling Out-of-distribution Detection for Large Semantic Space
    Rui Huang, Yixuan Li
    http://arxiv.org/abs/2105.01879v1

    • [cs.CV]Moving SLAM: Fully Unsupervised Deep Learning in Non-Rigid Scenes
    Dan Xu, Andrea Vedaldi, Joao F. Henriques
    http://arxiv.org/abs/2105.02195v1

    • [cs.CV]Multi-scale Image Decomposition using a Local Statistical Edge Model
    Kin-Ming Wong
    http://arxiv.org/abs/2105.01951v1

    • [cs.CV]Novelty Detection and Analysis of Traffic Scenario Infrastructures in the Latent Space of a Vision Transformer-Based Triplet Autoencoder
    Jonas Wurst, Lakshman Balasubramanian, Michael Botsch, Wolfgang Utschick
    http://arxiv.org/abs/2105.01924v1

    • [cs.CV]PD-GAN: Probabilistic Diverse GAN for Image Inpainting
    Hongyu Liu, Ziyu Wan, Wei Huang, Yibing Song, Xintong Han, Jing Liao
    http://arxiv.org/abs/2105.02201v1

    • [cs.CV]Pairwise Point Cloud Registration using Graph Matching and Rotation-invariant Features
    Rong Huang, Wei Yao, Yusheng Xu, Zhen Ye, Uwe Stilla
    http://arxiv.org/abs/2105.02151v1

    • [cs.CV]Physically Inspired Dense Fusion Networks for Relighting
    Amirsaeed Yazdani, Tiantong Guo, Vishal Monga
    http://arxiv.org/abs/2105.02209v1

    • [cs.CV]PingAn-VCGroup’s Solution for ICDAR 2021 Competition on Scientific Literature Parsing Task B: Table Recognition to HTML
    Jiaquan Ye, Xianbiao Qi, Yelin He, Yihao Chen, Dengyi Gu, Peng Gao, Rong Xiao
    http://arxiv.org/abs/2105.01848v1

    • [cs.CV]PingAn-VCGroup’s Solution for ICDAR 2021 Competition on Scientific Table Image Recognition to Latex
    Yelin He, Xianbiao Qi, Jiaquan Ye, Peng Gao, Yihao Chen, Bingcong Li, Xin Tang, Rong Xiao
    http://arxiv.org/abs/2105.01846v1

    • [cs.CV]PolarMask++: Enhanced Polar Representation for Single-Shot Instance Segmentation and Beyond
    Enze Xie, Wenhai Wang, Mingyu Ding, Ruimao Zhang, Ping Luo
    http://arxiv.org/abs/2105.02184v1

    • [cs.CV]Proposal-free One-stage Referring Expression via Grid-Word Cross-Attention
    Wei Suo, Mengyang Sun, Peng Wang, Qi Wu
    http://arxiv.org/abs/2105.02061v1

    • [cs.CV]Prototype Memory for Large-scale Face Representation Learning
    Evgeny Smirnov, Nikita Garaev, Vasiliy Galyuk
    http://arxiv.org/abs/2105.02103v1

    • [cs.CV]QueryInst: Parallelly Supervised Mask Query for Instance Segmentation
    Yuxin Fang, Shusheng Yang, Xinggang Wang, Yu Li, Chen Fang, Ying Shan, Bin Feng, Wenyu Liu
    http://arxiv.org/abs/2105.01928v1

    • [cs.CV]Real-time Deep Dynamic Characters
    Marc Habermann, Lingjie Liu, Weipeng Xu, Michael Zollhoefer, Gerard Pons-Moll, Christian Theobalt
    http://arxiv.org/abs/2105.01794v1

    • [cs.CV]Real-time Face Mask Detection in Video Data
    Yuchen Ding, Zichen Li, David Yastremsky
    http://arxiv.org/abs/2105.01816v1

    • [cs.CV]RepMLP: Re-parameterizing Convolutions into Fully-connected Layers for Image Recognition
    Xiaohan Ding, Xiangyu Zhang, Jungong Han, Guiguang Ding
    http://arxiv.org/abs/2105.01883v1

    • [cs.CV]SeaDronesSee: A Maritime Benchmark for Detecting Humans in Open Water
    Leon Amadeus Varga, Benjamin Kiefer, Martin Messmer, Andreas Zell
    http://arxiv.org/abs/2105.01922v1

    • [cs.CV]Self-Supervised Multi-Frame Monocular Scene Flow
    Junhwa Hur, Stefan Roth
    http://arxiv.org/abs/2105.02216v1

    • [cs.CV]Spectral Machine Learning for Pancreatic Mass Imaging Classification
    Yiming Liu, Ying Chen, Guangming Pan, Weichung Wang, Wei-Chih Liao, Yee Liang Thian, Cheng E. Chee, Constantinos P. Anastassiades
    http://arxiv.org/abs/2105.00728
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    v1)

    • [cs.CV]Texture for Colors: Natural Representations of Colors Using Variable Bit-Depth Textures
    Shumeet Baluja
    http://arxiv.org/abs/2105.01768v1

    • [cs.CV]The Pursuit of Knowledge: Discovering and Localizing Novel Categories using Dual Memory
    Sai Saketh Rambhatla, Rama Chellappa, Abhinav Shrivastava
    http://arxiv.org/abs/2105.01652v2

    • [cs.CV]Towards Self-Supervision for Video Identification of Individual Holstein-Friesian Cattle: The Cows2021 Dataset
    Jing Gao, Tilo Burghardt, William Andrew, Andrew W. Dowsey, Neill W. Campbell
    http://arxiv.org/abs/2105.01938v1

    • [cs.CV]Towards an efficient framework for Data Extraction from Chart Images
    Weihong Ma, Hesuo Zhang, Shuang Yan, Guangshun Yao, Yichao Huang, Hui Li, Yaqiang Wu, Lianwen Jin
    http://arxiv.org/abs/2105.02039v1

    • [cs.CV]TransHash: Transformer-based Hamming Hashing for Efficient Image Retrieval
    Yongbiao Chen, Sheng Zhang, Fangxin Liu, Zhigang Chang, Mang Ye, Zhengwei Qi
    http://arxiv.org/abs/2105.01823v1

    • [cs.CV]Visual Composite Set Detection Using Part-and-Sum Transformers
    Qi Dong, Zhuowen Tu, Haofu Liao, Yuting Zhang, Vijay Mahadevan, Stefano Soatto
    http://arxiv.org/abs/2105.02170v1

    • [cs.CV]VoxelContext-Net: An Octree based Framework for Point Cloud Compression
    Zizheng Que, Guo Lu, Dong Xu
    http://arxiv.org/abs/2105.02158v1

    • [cs.CV]Weakly Supervised Pseudo-Label assisted Learning for ALS Point Cloud Semantic Segmentation
    Puzuo Wang, Wei Yao
    http://arxiv.org/abs/2105.01919v1

    • [cs.CY]Assessing the embodied carbon footprint of IoT edge devices with a bottom-up life-cycle approach
    Thibault Pirson, David Bol
    http://arxiv.org/abs/2105.02082v1

    • [cs.CY]Envisioning Communities: A Participatory Approach Towards AI for Social Good
    Elizabeth Bondi, Lily Xu, Diana Acosta-Navas, Jackson A. Killian
    http://arxiv.org/abs/2105.01774v1

    • [cs.CY]Ethics and Governance of Artificial Intelligence: Evidence from a Survey of Machine Learning Researchers
    Baobao Zhang, Markus Anderljung, Lauren Kahn, Noemi Dreksler, Michael C. Horowitz, Allan Dafoe
    http://arxiv.org/abs/2105.02117v1

    • [cs.CY]Surveilling Surveillance: Estimating the Prevalence of Surveillance Cameras with Street View Data
    Hao Sheng, Keniel Yao, Sharad Goel
    http://arxiv.org/abs/2105.01764v1

    • [cs.CY]The Best Thresholds for Rapid Identification of Episodic and Chronic Homeless Shelter Use
    Geoffrey Guy Messier, Leslie Tutty, Caleb John
    http://arxiv.org/abs/2105.01042v2

    • [cs.DC]ABET Accreditation: A Way Forward for PDC Education
    Sherif G. Aly, Haidar Harmanani, Rajendra K. Raj, Sanaa Sharafeddine
    http://arxiv.org/abs/2105.01707v1

    • [cs.DC]DeepRT: A Soft Real Time Scheduler for Computer Vision Applications on the Edge
    Zhe Yang, Klara Nahrstedt, Hongpeng Guo, Qian Zhou
    http://arxiv.org/abs/2105.01803v1

    • [cs.DC]GRAPHOPT: constrained optimization-based parallelization of irregular graphs
    Nimish Shah, Wannes Meert, Marian Verhelst
    http://arxiv.org/abs/2105.01976v1

    • [cs.DC]Pervasive AI for IoT Applications: Resource-efficient Distributed Artificial Intelligence
    Emna Baccour, Naram Mhaisen, Alaa Awad Abdellatif, Aiman Erbad, Amr Mohamed, Mounir Hamdi, Mohsen Guizani
    http://arxiv.org/abs/2105.01798v1

    • [cs.DC]Public Communication can Facilitate Low-Risk Coordination under Surveillance
    Amos Korman, Pierluigi Crescenzi
    http://arxiv.org/abs/2105.02093v1

    • [cs.DC]ScissionLite: Accelerating Distributed Deep Neural Networks Using Transfer Layer
    Hyunho Ahn, Munkyu Lee, Cheol-Ho Hong, Blesson Varghese
    http://arxiv.org/abs/2105.02019v1

    • [cs.DC]The Complexity of Symmetry Breaking in Massive Graphs
    Christian Konrad, Sriram V. Pemmaraju, Talal Riaz, Peter Robinson
    http://arxiv.org/abs/2105.01833v1

    • [cs.FL]Polynomial Graph Parsing with Non-Structural Reentrancies
    Johanna Björklund, Frank Drewes, Anna Jonsson
    http://arxiv.org/abs/2105.02033v1

    • [cs.HC]Does the Goal Matter? Emotion Recognition Tasks Can Change the Social Value of Facial Mimicry towards Artificial Agents
    Giulia Perugia, Maike Paetzel-Prüssman, Isabelle Hupont, Giovanna Varni, Mohamed Chetouani, Christopher Edward Peters, Ginevra Castellano
    http://arxiv.org/abs/2105.02098v1

    • [cs.HC]Evaluating Metrics for Standardized Benchmarking of Remote Presence Systems
    Charles Peasley, Rachel Dianiska, Emily Oldham, Nicholas Wilson, Stephen Gilbert, Peggy Wu, Brett Israelsen, James Oliver
    http://arxiv.org/abs/2105.01772v1

    • [cs.HC]Exploring emotional prototypes in a high dimensional TTS latent space
    Pol van Rijn, Silvan Mertes, Dominik Schiller, Peter M. C. Harrison, Pauline Larrouy-Maestri, Elisabeth André, Nori Jacoby
    http://arxiv.org/abs/2105.01891v1

    • [cs.HC]WaveGlove: Transformer-based hand gesture recognition using multiple inertial sensors
    Matej Králik, Marek Šuppa
    http://arxiv.org/abs/2105.01753v1

    • [cs.IR]Audio Retrieval with Natural Language Queries
    Andreea-Maria Oncescu, A. Sophia Koepke, João F. Henriques, Zeynep Akata, Samuel Albanie
    http://arxiv.org/abs/2105.02192v1

    • [cs.IR]Retrieving Complex Tables with Multi-Granular Graph Representation Learning
    Fei Wang, Kexuan Sun, Muhao Chen, Jay Pujara, Pedro Szekely
    http://arxiv.org/abs/2105.01736v1

    • [cs.IR]When Fair Ranking Meets Uncertain Inference
    Avijit Ghosh, Ritam Dutt, Christo Wilson
    http://arxiv.org/abs/2105.02091v1

    • [cs.IT]今日学术视野(2021.5.7) - 图2
    Haewon Jeong, Ateet Devulapalli, Viveck R. Cadambe, Flavio Calmon
    http://arxiv.org/abs/2105.01973v1

    • [cs.IT]An Algorithmic Approach to Entanglement-Assisted Quantum Error-Correcting Codes from the Hermitian Curve
    René Bødker Christensen, Carlos Munuera, Francisco Revson F. Pereira, Diego Ruano
    http://arxiv.org/abs/2105.02166v1

    • [cs.IT]Coded Compressed Sensing with Successive Cancellation List Decoding for Unsourced Random Access with Massive MIMO
    Vamsi K. Amalladinne, Jean-Francois Chamberland, Krishna R. Narayanan
    http://arxiv.org/abs/2105.02185v1

    • [cs.IT]Cooperative Network Coding for Distributed Storage using Base Stations with Link Constraints
    Suayb S. Arslan, Massoud Pourmandi, Elif Haytaoglu
    http://arxiv.org/abs/2105.02146v1

    • [cs.IT]Formally Justifying MDL-based Inference of Cause and Effect
    Alexander Marx, Jilles Vreeken
    http://arxiv.org/abs/2105.01902v1

    • [cs.IT]Generalized Selection in Wireless Powered Networks with Non-Linear Energy Harvesting
    Maria Dimitropoulou, Constantinos Psomas, Ioannis Krikidis
    http://arxiv.org/abs/2105.02100v1

    • [cs.IT]Improved Singleton bound on insertion-deletion codes and optimal constructions
    Bocong Chen, Guanghui Zhang
    http://arxiv.org/abs/2105.02004v1

    • [cs.IT]Massive MIMO-NOMA Systems Secrecy in the Presence of Active Eavesdroppers
    Marziyeh Soltani, Mahtab Mirmohseni, Panos Papadimitratos
    http://arxiv.org/abs/2105.02215v1

    • [cs.LG]A Theoretical-Empirical Approach to Estimating Sample Complexity of DNNs
    Devansh Bisla, Apoorva Nandini Saridena, Anna Choromanska
    http://arxiv.org/abs/2105.01867v1

    • [cs.LG]Attack-agnostic Adversarial Detection on Medical Data Using Explainable Machine Learning
    Matthew Watson, Noura Al Moubayed
    http://arxiv.org/abs/2105.01959v1

    • [cs.LG]Broadly Applicable Targeted Data Sample Omission Attacks
    Guy Barash, Eitan Farchi, Sarit Kraus, Onn Shehory
    http://arxiv.org/abs/2105.01560v2

    • [cs.LG]Change Matters: Medication Change Prediction with Recurrent Residual Networks
    Chaoqi Yang, Cao Xiao, Lucas Glass, Jimeng Sun
    http://arxiv.org/abs/2105.01876v1

    • [cs.LG]CoSA: Scheduling by Constrained Optimization for Spatial Accelerators
    Qijing Huang, Minwoo Kang, Grace Dinh, Thomas Norell, Aravind Kalaiah, James Demmel, John Wawrzynek, Yakun Sophia Shao
    http://arxiv.org/abs/2105.01898v1

    • [cs.LG]Continual Learning on the Edge with TensorFlow Lite
    Giorgos Demosthenous, Vassilis Vassiliades
    http://arxiv.org/abs/2105.01946v1

    • [cs.LG]Data-Efficient Reinforcement Learning for Malaria Control
    Lixin Zou, Long Xia, Linfang Hou, Xiangyu Zhao, Dawei Yin
    http://arxiv.org/abs/2105.01620v2

    • [cs.LG]Generative Adversarial Reward Learning for Generalized Behavior Tendency Inference
    Xiaocong Chen, Lina Yao, Xianzhi Wang, Aixin Sun, Wenjie Zhang, Quan Z. Sheng
    http://arxiv.org/abs/2105.00822v2

    • [cs.LG]How Fine-Tuning Allows for Effective Meta-Learning
    Kurtland Chua, Qi Lei, Jason D. Lee
    http://arxiv.org/abs/2105.02221v1

    • [cs.LG]Improved Surrogate Modeling of Fluid Dynamics with Physics-Informed Neural Networks
    Jian Cheng Wong, Chinchun Ooi, Pao-Hsiung Chiu, My Ha Dao
    http://arxiv.org/abs/2105.01838v1

    • [cs.LG]Information Complexity and Generalization Bounds
    Pradeep Kr. Banerjee, Guido Montúfar
    http://arxiv.org/abs/2105.01747v1

    • [cs.LG]MiCE: Mixture of Contrastive Experts for Unsupervised Image Clustering
    Tsung Wei Tsai, Chongxuan Li, Jun Zhu
    http://arxiv.org/abs/2105.01899v1

    • [cs.LG]Model-free policy evaluation in Reinforcement Learning via upper solutions
    D. Belomestny, I. Levin, E. Moulines, A. Naumov, S. Samsonov, V. Zorina
    http://arxiv.org/abs/2105.02135v1

    • [cs.LG]Modulating Regularization Frequency for Efficient Compression-Aware Model Training
    Dongsoo Lee, Se Jung Kwon, Byeongwook Kim, Jeongin Yun, Baeseong Park, Yongkweon Jeon
    http://arxiv.org/abs/2105.01875v1

    • [cs.LG]Non-Autoregressive vs Autoregressive Neural Networks for System Identification
    Daniel Weber, Clemens Gühmann
    http://arxiv.org/abs/2105.02027v1

    • [cs.LG]Ovarian Cancer Detection based on Dimensionality Reduction Techniques and Genetic Algorithm
    Ahmed Farag Seddik, Hassan Mostafa Ahmed
    http://arxiv.org/abs/2105.01748v1

    • [cs.LG]Perceptual Gradient Networks
    Dmitry Nikulin, Roman Suvorov, Aleksei Ivakhnenko, Victor Lempitsky
    http://arxiv.org/abs/2105.01957v1

    • [cs.LG]Preference learning along multiple criteria: A game-theoretic perspective
    Kush Bhatia, Ashwin Pananjady, Peter L. Bartlett, Anca D. Dragan, Martin J. Wainwright
    http://arxiv.org/abs/2105.01850v1

    • [cs.LG]Q-Rater: Non-Convex Optimization for Post-Training Uniform Quantization
    Byeongwook Kim, Dongsoo Lee, Yeonju Ro, Yongkweon Jeon, Se Jung Kwon, Baeseong Park, Daehwan Oh
    http://arxiv.org/abs/2105.01868v1

    • [cs.LG]Reinforcement Learning for Scalable Logic Optimization with Graph Neural Networks
    Xavier Timoneda, Lukas Cavigelli
    http://arxiv.org/abs/2105.01755v1

    • [cs.LG]Robust Reconfigurable Intelligent Surfaces via Invariant Risk and Causal Representations
    Sumudu Samarakoon, Jihong Park, Mehdi Bennis
    http://arxiv.org/abs/2105.01771v1

    • [cs.LG]Sampling From the Wasserstein Barycenter
    Chiheb Daaloul, Thibaut Le Gouic, Jacques Liandrat, Magali Tournus
    http://arxiv.org/abs/2105.01706v1

    • [cs.LG]Schematic Memory Persistence and Transience for Efficient and Robust Continual Learning
    Yuyang Gao, Giorgio A. Ascoli, Liang Zhao
    http://arxiv.org/abs/2105.02085v1

    • [cs.LG]Sequential Encryption of Sparse Neural Networks Toward Optimum Representation of Irregular Sparsity
    Baeseong Park, Se Jung Kwon, Dongsoo Lee, Daehwan Oh, Byeongwook Kim, Yongkweon Jeon, Yeonju Ro
    http://arxiv.org/abs/2105.01869v1

    • [cs.LG]Solving Sokoban with backward reinforcement learning
    Yaron Shoham, Gal Elidan
    http://arxiv.org/abs/2105.01904v1

    • [cs.LG]Training Quantized Neural Networks to Global Optimality via Semidefinite Programming
    Burak Bartan, Mert Pilanci
    http://arxiv.org/abs/2105.01420v2

    • [cs.LG]Two-layer neural networks with values in a Banach space
    Yury Korolev
    http://arxiv.org/abs/2105.02095v1

    • [cs.LG]Understanding Long Range Memory Effects in Deep Neural Networks
    Chengli Tan, Jiangshe Zhang, Junmin Liu
    http://arxiv.org/abs/2105.02062v1

    • [cs.MA]Calibration of Human Driving Behavior and Preference Using Naturalistic Traffic Data
    Qi Dai, Di Shen, Jinhong Wang, Suzhou Huang, Dimitar Filev
    http://arxiv.org/abs/2105.01820v1

    • [cs.MA]Density-Aware Federated Imitation Learning for Connected and Automated Vehicles with Unsignalized Intersection
    Tianhao Wu, Mingzhi Jiang, Yinhui Han, Zheng Yuan, Lin Zhang
    http://arxiv.org/abs/2105.01889v1

    • [cs.NE]Dynamic Reliability Management in Neuromorphic Computing
    Shihao Song, Jui Hanamshet, Adarsha Balaji, Anup Das, Jeffrey L. Krichmar, Nikil D. Dutt, Nagarajan Kandasamy, Francky Catthoor
    http://arxiv.org/abs/2105.02038v1

    • [cs.NE]NeuroXplorer 1.0: An Extensible Framework for Architectural Exploration with Spiking Neural Networks
    Adarsha Balaji, Shihao Song, Twisha Titirsha, Anup Das, Jeffrey Krichmar, Nikil Dutt, James Shackleford, Nagarajan Kandasamy, Francky Catthoor
    http://arxiv.org/abs/2105.01795v1

    • [cs.RO]A Survey on End-User Robot Programming
    Gopika Ajaykumar, Maureen Steele, Chien-Ming Huang
    http://arxiv.org/abs/2105.01757v1

    • [cs.RO]Benchmarking Structured Policies and Policy Optimization for Real-World Dexterous Object Manipulation
    Niklas Funk, Charles Schaff, Rishabh Madan, Takuma Yoneda, Julen Urain De Jesus, Joe Watson, Ethan K. Gordon, Felix Widmaier, Stefan Bauer, Siddhartha S. Srinivasa, Tapomayukh Bhattacharjee, Matthew R. Walter, Jan Peters
    http://arxiv.org/abs/2105.02087v1

    • [cs.RO]Challenges and Outlook in Robotic Manipulation of Deformable Objects
    Jihong Zhu, Andrea Cherubini, Claire Dune, David Navarro-Alarcon, Farshid Alambeigi, Dmitry Berenson, Fanny Ficuciello, Kensuke Harada, Xiang Li, Jia Pan, Wenzhen Yuan
    http://arxiv.org/abs/2105.01767v1

    • [cs.RO]Does elderly enjoy playing Bingo with a robot? A case study with the humanoid robot Nadine
    Nidhi Mishra, Gauri Tulsulkar, Hanhui Li, Nadia Magnenat Thalmann
    http://arxiv.org/abs/2105.01975v1

    • [cs.RO]Episodic Learning for Safe Bipedal Locomotion with Control Barrier Functions and Projection-to-State Safety
    Noel Csomay-Shanklin, Ryan K. Cosner, Min Dai, Andrew J. Taylor, Aaron D. Ames
    http://arxiv.org/abs/2105.01697v1

    • [cs.RO]LEADOR: A Method for End-to-End Participatory Design of Autonomous Social Robots
    Katie Winkle, Emmanuel Senft, Séverin Lemaignan
    http://arxiv.org/abs/2105.01910v1

    • [cs.RO]Multi-Modal Loop Closing in Unstructured Planetary Environments with Visually Enriched Submaps
    Riccardo Giubilato, Mallikarjuna Vayugundla, Wolfgang Stürzl, Martin J. Schuster, Armin Wedler, Rudolph Triebel
    http://arxiv.org/abs/2105.02020v1

    • [cs.RO]PathBench: A Benchmarking Platform for Classical and Learned Path Planning Algorithms
    Alexandru-Iosif Toma, Hao-Ya Hsueh, Hussein Ali Jaafar, Riku Murai, Paul H. J. Kelly, Sajad Saeedi
    http://arxiv.org/abs/2105.01777v1

    • [cs.RO]Real-time Multi-Adaptive-Resolution-Surfel 6D LiDAR Odometry using Continuous-time Trajectory Optimization
    Jan Quenzel, Sven Behnke
    http://arxiv.org/abs/2105.02010v1

    • [cs.RO]Towards End-to-End Deep Learning for Autonomous Racing: On Data Collection and a Unified Architecture for Steering and Throttle Prediction
    Shakti N. Wadekar, Benjamin J. Schwartz, Shyam S. Kannan, Manuel Mar, Rohan Kumar Manna, Vishnu Chellapandi, Daniel J. Gonzalez, Aly El Gamal
    http://arxiv.org/abs/2105.01799v1

    • [cs.RO]Training Structured Mechanical Models by Minimizing Discrete Euler-Lagrange Residual
    Kunal Menda, Jayesh K. Gupta, Zachary Manchester, Mykel J. Kochenderfer
    http://arxiv.org/abs/2105.01811v1

    • [cs.SD]End-to-End Diarization for Variable Number of Speakers with Local-Global Networks and Discriminative Speaker Embeddings
    Soumi Maiti, Hakan Erdogan, Kevin Wilson, Scott Wisdom, Shinji Watanabe, John R. Hershey
    http://arxiv.org/abs/2105.02096v1

    • [cs.SD]Self-Supervised Learning from Automatically Separated Sound Scenes
    Eduardo Fonseca, Aren Jansen, Daniel P. W. Ellis, Scott Wisdom, Marco Tagliasacchi, John R. Hershey, Manoj Plakal, Shawn Hershey, R. Channing Moore, Xavier Serra
    http://arxiv.org/abs/2105.02132v1

    • [cs.SE]RDMSim: An Exemplar for Evaluation and Comparison of Decision-Making Techniques for Self-Adaptation
    Huma Samin, Luis H. Garcia Paucar, Nelly Bencomo, Cesar M. Carranza Hurtado, Erik M. Fredericks
    http://arxiv.org/abs/2105.01978v1

    • [cs.SE]Software Engineering for AI-Based Systems: A Survey
    Silverio Martínez-Fernández, Justus Bogner, Xavier Franch, Marc Oriol, Julien Siebert, Adam Trendowicz, Anna Maria Vollmer, Stefan Wagner
    http://arxiv.org/abs/2105.01984v1

    • [cs.SI]Comparative Analysis of Box-Covering Algorithms for Fractal Networks
    Péter Tamás Kovács, Marcell Nagy, Roland Molontay
    http://arxiv.org/abs/2105.01939v1

    • [cs.SI]Graph structure based Heuristics for Optimal Targeting in Social Networks
    M. Bini, P. Frasca, C. Ravazzi, F. Dabbene
    http://arxiv.org/abs/2105.02133v1

    • [cs.SI]Inclusive Universities. Evidence from the Erasmus Program
    Luca De Benedictis, Silvia Leoni
    http://arxiv.org/abs/2105.02212v1

    • [cs.SI]Optimally partitioning signed networks based on generalized balance
    Samin Aref, Zachary P. Neal
    http://arxiv.org/abs/2105.01913v1

    • [cs.SI]The Logic of Collective Action Revisited
    Ian Benson
    http://arxiv.org/abs/2105.01981v1

    • [eess.AS]Towards Interpretable and Transferable Speech Emotion Recognition: Latent Representation Based Analysis of Features, Methods and Corpora
    Sneha Das, Nicole Nadine Lønfeldt, Anne Katrine Pagsberg, Line H. Clemmensen
    http://arxiv.org/abs/2105.02055v1

    • [eess.AS]Voice Conversion Based Speaker Normalization for Acoustic Unit Discovery
    Thomas Glarner, Janek Ebbers, Reinhold Häb-Umbach
    http://arxiv.org/abs/2105.01786v1

    • [eess.IV]Attention-based Stylisation for Exemplar Image Colourisation
    Marc Gorriz Blanch, Issa Khalifeh, Alan Smeaton, Noel O’Connor, Marta Mrak
    http://arxiv.org/abs/2105.01705v1

    • [eess.IV]COVID-19 Detection from Chest X-ray Images using Imprinted Weights Approach
    Jianxing Zhang, Pengcheng Xi, Ashkan Ebadi, Hilda Azimi, Stephane Tremblay, Alexander Wong
    http://arxiv.org/abs/2105.01710v1

    • [eess.IV]CUAB: Convolutional Uncertainty Attention Block Enhanced the Chest X-ray Image Analysis
    Chi-Shiang Wang, Fang-Yi Su, Tsung-Lu Michael Lee, Yi-Shan Tsai, Jung-Hsien Chiang
    http://arxiv.org/abs/2105.01840v1

    • [eess.IV]Generative Adversarial Networks (GAN) Powered Fast Magnetic Resonance Imaging — Mini Review, Comparison and Perspectives
    Guang Yang, Jun Lv, Yutong Chen, Jiahao Huang, Jin Zhu
    http://arxiv.org/abs/2105.01800v1

    • [eess.IV]Joint Registration and Segmentation via Multi-Task Learning for Adaptive Radiotherapy of Prostate Cancer
    Mohamed S. Elmahdy, Laurens Beljaards, Sahar Yousefi, Hessam Sokooti, Fons Verbeek, U. A. van der Heide, Marius Staring
    http://arxiv.org/abs/2105.01844v1

    • [eess.IV]Lesion Segmentation and RECIST Diameter Prediction via Click-driven Attention and Dual-path Connection
    Youbao Tang, Ke Yan, Jinzheng Cai, Lingyun Huang, Guotong Xie, Jing Xiao, Jingjing Lu, Gigin Lin, Le Lu
    http://arxiv.org/abs/2105.01828v1

    • [eess.IV]Rethinking Ultrasound Augmentation: A Physics-Inspired Approach
    Maria Tirindelli, Christine Eilers, Walter Simson, Magdalini Paschali, Mohammad Farid Azampour, Nassir Navab
    http://arxiv.org/abs/2105.02188v1

    • [eess.SP]Joint Communication and Radar Sensing with Reconfigurable Intelligent Surfaces
    R. S. Prasobh Sankar, Battu Deepak, Sundeep Prabhakar Chepuri
    http://arxiv.org/abs/2105.01966v1

    • [eess.SP]Using Synthetic Data to Enhance the Accuracy of Fingerprint-Based Localization: A Deep Learning Approach
    Mohammad Nabati, Hojjat Navidan, Reza Shahbazian, Seyed Ali Ghorashi, David Windridge
    http://arxiv.org/abs/2105.01903v1

    • [eess.SY]H-TD2: Hybrid Temporal Difference Learning for Adaptive Urban Taxi Dispatch
    Benjamin Rivière, Soon-Jo Chung
    http://arxiv.org/abs/2105.02138v1

    • [math.CO]Independent Spaces of q-Polymatroids
    Heide Gluesing-Luerssen, Benjamin Jany
    http://arxiv.org/abs/2105.01802v1

    • [math.DG]Curvatures of Stiefel manifolds with deformation metrics
    Du Nguyen
    http://arxiv.org/abs/2105.01834v1

    • [math.OC]Thinking Inside the Ball: Near-Optimal Minimization of the Maximal Loss
    Yair Carmon, Arun Jambulapati, Yujia Jin, Aaron Sidford
    http://arxiv.org/abs/2105.01778v1

    • [math.OC]Two-Stage Stochastic Optimization via Primal-Dual Decomposition and Deep Unrolling
    An Liu, Rui Yang, Tony Q. S. Quek, Min-Jian Zhao
    http://arxiv.org/abs/2105.01853v1

    • [math.ST]A Note on Statistical Inference for Noisy Incomplete 1-Bit Matrix
    Yunxiao Chen, Chengcheng Li, Gongjun Xu
    http://arxiv.org/abs/2105.01769v1

    • [math.ST]A nonparametric test of independence based on L_1-error
    Nour-Eddine Berrahou, Lahcen Douge
    http://arxiv.org/abs/2105.02164v1

    • [math.ST]A unifying tutorial on Approximate Message Passing
    Oliver Y. Feng, Ramji Venkataramanan, Cynthia Rush, Richard J. Samworth
    http://arxiv.org/abs/2105.02180v1

    • [math.ST]AdaBoost and robust one-bit compressed sensing
    Geoffrey Chinot, Felix Kuchelmeister, Matthias Löffler, Sara van de Geer
    http://arxiv.org/abs/2105.02083v1

    • [math.ST]Continuous-time targeted minimum loss-based estimation of intervention-specific mean outcomes
    Helene C. Rytgaard, Thomas A. Gerds, Mark J. van der Laan
    http://arxiv.org/abs/2105.02088v1

    • [math.ST]Identity testing under label mismatch
    Clément L. Canonne, Karl Wimmer
    http://arxiv.org/abs/2105.01856v1

    • [math.ST]On the Optimality of Nuclear-norm-based Matrix Completion for Problems with Smooth Non-linear Structure
    Yunhua Xiang, Tianyu Zhang, Xu Wang, Ali Shojaie, Noah Simon
    http://arxiv.org/abs/2105.01874v1

    • [math.ST]On the mathematical axiomatization of approximate Bayesian computation. A robust set for estimating mechanistic network models through optimal transport
    Marco Tarsia, Antonietta Mira, Daniele Cassani
    http://arxiv.org/abs/2105.01962v1

    • [math.ST]The costs and benefits of uniformly valid causal inference with high-dimensional nuisance parameters
    Niloofar Moosavi, Jenny Häggström, Xavier de Luna
    http://arxiv.org/abs/2105.02071v1

    • [math.ST]Transport Dependency: Optimal Transport Based Dependency Measures
    Thomas Giacomo Nies, Thomas Staudt, Axel Munk
    http://arxiv.org/abs/2105.02073v1

    • [physics.ins-det]A reconfigurable neural network ASIC for detector front-end data compression at the HL-LHC
    Giuseppe Di Guglielmo, Farah Fahim, Christian Herwig, Manuel Blanco Valentin, Javier Duarte, Cristian Gingu, Philip Harris, James Hirschauer, Martin Kwok, Vladimir Loncar, Yingyi Luo, Llovizna Miranda, Jennifer Ngadiuba, Daniel Noonan, Seda Ogrenci-Memik, Maurizio Pierini, Sioni Summers, Nhan Tran
    http://arxiv.org/abs/2105.01683v1

    • [physics.med-ph]Motion Artifact Reduction in Quantitative Susceptibility Mapping using Deep Neural Network
    Chao Li, Hang Zhang, Jinwei Zhang, Pascal Spincemaille, Thanh D. Nguyen, Yi Wang
    http://arxiv.org/abs/2105.01746v1

    • [physics.soc-ph]Centralities in complex networks
    Alexandre Bovet, Hernán A. Makse
    http://arxiv.org/abs/2105.01931v1

    • [q-bio.PE]Convergence of maximum likelihood supertree reconstruction
    Lam Si Tung Ho, Vu Dinh
    http://arxiv.org/abs/2105.01723v1

    • [q-bio.QM]Automated scoring of pre-REM sleep in mice with deep learning
    Niklas Grieger, Justus T. C. Schwabedal, Stefanie Wendel, Yvonne Ritze, Stephan Bialonski
    http://arxiv.org/abs/2105.01933v1

    • [quant-ph]Quantum Advantage on Proof of Work
    Dan A. Bard, Joseph J. Kearney, Carlos A. Perez-Delgado
    http://arxiv.org/abs/2105.01821v1

    • [quant-ph]Vulnerability of Blockchain Technologies to Quantum Attacks
    Joseph J. Kearney, Carlos A. Perez-Delgado
    http://arxiv.org/abs/2105.01815v1

    • [quant-ph]Witnessing Bell violations through probabilistic negativity
    Benjamin Morris, Lukas J. Fiderer, Ben Lang, Daniel Goldwater
    http://arxiv.org/abs/2105.01685v1

    • [stat.AP]A Bayesian latent allocation model for clustering compositional data with application to the Great Barrier Reef
    Luiza Piancastelli, Nial Friel, Julie Vercelloni, Kerrie Mengersen, Antonietta Mira
    http://arxiv.org/abs/2105.02140v1

    • [stat.AP]Bayesian inference of an uncertain generalized diffusion operator
    Teresa Portone, Robert D. Moser
    http://arxiv.org/abs/2105.01807v1

    • [stat.AP]Blocks as geographic discontinuities: The effect of polling place assignment on voting
    Sabina Tomkins, Keniel Yao, Johann Gaebler, Tobias Konitzer, David Rothschild, Marc Meredith, Sharad Goel
    http://arxiv.org/abs/2105.01728v1

    • [stat.AP]Inverse probability of censoring weighting for visual predictive checks of time-to-event models with time-varying covariates
    Christian Bartels, Thomas Dumortier
    http://arxiv.org/abs/2105.02030v1

    • [stat.ME]Bayesian Dynamic Estimation of Mortality Schedules in Small Areas
    Guilherme Lopes de Oliveira, Rosangela Helena Loschi, Renato Martins Assunção
    http://arxiv.org/abs/2105.02203v1

    • [stat.ME]Calibration of prediction rules for life-time outcomes using prognostic Cox regression survival models and multiple imputations to account for missing predictor data with cross-validatory assessment
    Bart J. A. Mertens
    http://arxiv.org/abs/2105.01733v1

    • [stat.ME]Goodness of Causal Fit
    Robert R. Tucci
    http://arxiv.org/abs/2105.02172v1

    • [stat.ME]Identification of causal effects in case-control studies
    Bas B. L. Penning de Vries, Rolf H. H. Groenwold
    http://arxiv.org/abs/2105.02077v1

    • [stat.ML]Nonparametric Trace Regression in High Dimensions via Sign Series Representation
    Chanwoo Lee, Lexin Li, Hao Helen Zhang, Miaoyan Wang
    http://arxiv.org/abs/2105.01783v1