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]-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
be2
v1
be2
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]
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