cs.AI - 人工智能
cs.CG - 计算几何学 cs.CL - 计算与语言 cs.CR - 加密与安全 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DC - 分布式、并行与集群计算 cs.DL - 数字图书馆 cs.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.MM - 多媒体 cs.PL - 编程语言 cs.RO - 机器人学 cs.SD - 声音处理 cs.SE - 软件工程 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.NA - 数值分析 math.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 physics.app-ph - 应用物理 physics.data-an - 数据分析、 统计和概率 physics.soc-ph - 物理学与社会 quant-ph - 量子物理 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习
• [cs.AI]Active Tree Search in Large POMDPs
• [cs.AI]AgentFormer: Agent-Aware Transformers for Socio-Temporal Multi-Agent Forecasting
• [cs.AI]An evidential classifier based on Dempster-Shafer theory and deep learning
• [cs.AI]Hierarchical Program-Triggered Reinforcement Learning Agents For Automated Driving
• [cs.AI]Measure Theoretic Weighted Model Integration
• [cs.AI]On the Complexity of Learning Description Logic Ontologies
• [cs.AI]Projection: A Mechanism for Human-like Reasoning in Artificial Intelligence
• [cs.AI]Similarity-Based Equational Inference in Physics
• [cs.AI]The Inescapable Duality of Data and Knowledge
• [cs.CG]Shadoks Approach to Low-Makespan Coordinated Motion Planning
• [cs.CL]An Approach to Improve Robustness of NLP Systems against ASR Errors
• [cs.CL]BERT4SO: Neural Sentence Ordering by Fine-tuning BERT
• [cs.CL]Benchmarking Modern Named Entity Recognition Techniques for Free-text Health Record De-identification
• [cs.CL]Bertinho: Galician BERT Representations
• [cs.CL]Equality before the Law: Legal Judgment Consistency Analysis for Fairness
• [cs.CL]Improving Online Forums Summarization via Unifying Hierarchical Attention Networks with Convolutional Neural Networks
• [cs.CL]Learning to Generate Code Comments from Class Hierarchies
• [cs.CL]Mask Attention Networks: Rethinking and Strengthen Transformer
• [cs.CL]Predicting Directionality in Causal Relations in Text
• [cs.CL]Pruning-then-Expanding Model for Domain Adaptation of Neural Machine Translation
• [cs.CL]Reading and Acting while Blindfolded: The Need for Semantics in Text Game Agents
• [cs.CL]Real-time low-resource phoneme recognition on edge devices
• [cs.CL]StyleKQC: A Style-Variant Paraphrase Corpus for Korean Questions and Commands
• [cs.CL]Term-community-based topic detection with variable resolution
• [cs.CL]Visual Grounding Strategies for Text-Only Natural Language Processing
• [cs.CR]An Empirical Analysis of Image-Based Learning Techniques for Malware Classification
• [cs.CR]HufuNet: Embedding the Left Piece as Watermark and Keeping the Right Piece for Ownership Verification in Deep Neural Networks
• [cs.CV]A Broad Study on the Transferability of Visual Representations with Contrastive Learning
• [cs.CV]A Survey of Quantization Methods for Efficient Neural Network Inference
• [cs.CV]An Image is Worth 16x16 Words, What is a Video Worth?
• [cs.CV]Asymmetric CNN for image super-resolution
• [cs.CV]AttrLostGAN: Attribute Controlled Image Synthesis from Reconfigurable Layout and Style
• [cs.CV]AutoLoss-Zero: Searching Loss Functions from Scratch for Generic Tasks
• [cs.CV]Boosting Binary Masks for Multi-Domain Learning through Affine Transformations
• [cs.CV]Contrast to Divide: Self-Supervised Pre-Training for Learning with Noisy Labels
• [cs.CV]Contrasting Contrastive Self-Supervised Representation Learning Models
• [cs.CV]DRANet: Disentangling Representation and Adaptation Networks for Unsupervised Cross-Domain Adaptation
• [cs.CV]DRO: Deep Recurrent Optimizer for Structure-from-Motion
• [cs.CV]Deepfake Forensics via An Adversarial Game
• [cs.CV]Disentanglement-based Cross-Domain Feature Augmentation for Effective Unsupervised Domain Adaptive Person Re-identification
• [cs.CV]Diverse Branch Block: Building a Convolution as an Inception-like Unit
• [cs.CV]Evidential fully convolutional network for semantic segmentation
• [cs.CV]Exploiting Class Similarity for Machine Learning with Confidence Labels and Projective Loss Functions
• [cs.CV]Foreground color prediction through inverse compositing
• [cs.CV]Gaussian Guided IoU: A Better Metric for Balanced Learning on Object Detection
• [cs.CV]Generative-Adversarial-Networks-based Ghost Recognition
• [cs.CV]GridDehazeNet+: An Enhanced Multi-Scale Network with Intra-Task Knowledge Transfer for Single Image Dehazing
• [cs.CV]Group-CAM: Group Score-Weighted Visual Explanations for Deep Convolutional Networks
• [cs.CV]GyroFlow: Gyroscope-Guided Unsupervised Optical Flow Learning
• [cs.CV]Hierarchical Deep CNN Feature Set-Based Representation Learning for Robust Cross-Resolution Face Recognition
• [cs.CV]Hierarchical Proxy-based Loss for Deep Metric Learning
• [cs.CV]High-Fidelity Pluralistic Image Completion with Transformers
• [cs.CV]I^3Net: Implicit Instance-Invariant Network for Adapting One-Stage Object Detectors
• [cs.CV]Inferring Latent Domains for Unsupervised Deep Domain Adaptation
• [cs.CV]JDSR-GAN: Constructing A Joint and Collaborative Learning Network for Masked Face Super-Resolution
• [cs.CV]KiloNeRF: Speeding up Neural Radiance Fields with Thousands of Tiny MLPs
• [cs.CV]Learning Dynamic Alignment via Meta-filter for Few-shot Learning
• [cs.CV]Learning Probabilistic Ordinal Embeddings for Uncertainty-Aware Regression
• [cs.CV]MBA-VO: Motion Blur Aware Visual Odometry
• [cs.CV]Matched sample selection with GANs for mitigating attribute confounding
• [cs.CV]MetaAlign: Coordinating Domain Alignment and Classification for Unsupervised Domain Adaptation
• [cs.CV]Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance Fields
• [cs.CV]More Photos are All You Need: Semi-Supervised Learning for Fine-Grained Sketch Based Image Retrieval
• [cs.CV]Multi-Target Domain Adaptation via Unsupervised Domain Classification for Weather Invariant Object Detection
• [cs.CV]Multi-frame Super-resolution from Noisy Data
• [cs.CV]On Evolving Attention Towards Domain Adaptation
• [cs.CV]Orthogonal Projection Loss
• [cs.CV]Patch Craft: Video Denoising by Deep Modeling and Patch Matching
• [cs.CV]PlenOctrees for Real-time Rendering of Neural Radiance Fields
• [cs.CV]Progressive-X+: Clustering in the Consensus Space
• [cs.CV]Rethinking Deep Contrastive Learning with Embedding Memory
• [cs.CV]Rethinking Self-Supervised Learning: Small is Beautiful
• [cs.CV]SSLayout360: Semi-Supervised Indoor Layout Estimation from 360 Panorama
• [cs.CV]STA-VPR: Spatio-temporal Alignment for Visual Place Recognition
• [cs.CV]Scaling-up Disentanglement for Image Translation
• [cs.CV]ScanGAN360: A Generative Model of Realistic Scanpaths for 360 Images
• [cs.CV]Self-Supervised Training Enhances Online Continual Learning
• [cs.CV]Spatial-spectral Hyperspectral Image Classification via Multiple Random Anchor Graphs Ensemble Learning
• [cs.CV]Spirit Distillation: Precise Real-time Prediction with Insufficient Data
• [cs.CV]StyleLess layer: Improving robustness for real-world driving
• [cs.CV]Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
• [cs.CV]THAT: Two Head Adversarial Training for Improving Robustness at Scale
• [cs.CV]TagMe: GPS-Assisted Automatic Object Annotation in Videos
• [cs.CV]Test-Time Training for Deformable Multi-Scale Image Registration
• [cs.CV]The ThreeDWorld Transport Challenge: A Visually Guided Task-and-Motion Planning Benchmark for Physically Realistic Embodied AI
• [cs.CV]Tracking Pedestrian Heads in Dense Crowd
• [cs.CV]Transform consistency for learning with noisy labels
• [cs.CV]USB: Universal-Scale Object Detection Benchmark
• [cs.CV]Universal Representation Learning from Multiple Domains for Few-shot Classification
• [cs.CV]Unmanned Aerial Vehicle Visual Detection and Tracking using Deep Neural Networks: A Performance Benchmark
• [cs.CV]Vectorization and Rasterization: Self-Supervised Learning for Sketch and Handwriting
• [cs.CV]Video Instance Segmentation with a Propose-Reduce Paradigm
• [cs.CV]Vision Transformers for Dense Prediction
• [cs.CY]Computational Mechanism for the Effect of Psychosis Community Treatment: A Conceptual Review from Neurobiology to Social Interaction
• [cs.CY]Female ICT participation in South-Eastern Nigerian Tertiary Institutions: Inhibiting Factors
• [cs.DC]ButterFly BFS — An Efficient Communication Pattern for Multi Node Traversals
• [cs.DL]A comparative analysis of local network similarity measurements: application to author citation networks
• [cs.DL]Improving Editorial Workflow and Metadata Quality at Springer Nature
• [cs.DL]Ontology-Based Recommendation of Editorial Products
• [cs.HC]Considerations and Challenges of Measuring Operator Performance in Telepresence and Teleoperation Entailing Mixed Reality Technologies
• [cs.IR]Fairness in Ranking: A Survey
• [cs.IR]Hierarchical Hyperedge Embedding-based Representation Learning for Group Recommendation
• [cs.IT]A Message Passing based Adaptive PDA Algorithm for Robust Radio-based Localization and Tracking
• [cs.IT]A family of projective two-weight linear codes
• [cs.IT]Directed Data-Processing Inequalities for Systems with Feedback
• [cs.IT]Expectation-Maximization Learning for Wireless Channel Modeling of Reconfigurable Intelligent Surfaces
• [cs.IT]Harvested Power Region of Two-user MISO WPT Systems With Non-linear EH Nodes
• [cs.IT]Meta-ViterbiNet: Online Meta-Learned Viterbi Equalization for Non-Stationary Channels
• [cs.IT]On Optimal Power Control for Energy Harvesting Communications with Lookahead
• [cs.LG]A Novel Adaptive Minority Oversampling Technique for Improved Classification in Data Imbalanced Scenarios
• [cs.LG]A Retail Product Categorisation Dataset
• [cs.LG]A Simple and Efficient Stochastic Rounding Method for Training Neural Networks in Low Precision
• [cs.LG]A Variational Inequality Approach to Bayesian Regression Games
• [cs.LG]About the regularity of the discriminator in conditional WGANs
• [cs.LG]Active Multitask Learning with Committees
• [cs.LG]Active Structure Learning of Bayesian Networks in an Observational Setting
• [cs.LG]Addressing catastrophic forgetting for medical domain expansion
• [cs.LG]Adversarial Imitation Learning with Trajectorial Augmentation and Correction
• [cs.LG]Any Part of Bayesian Network Structure Learning
• [cs.LG]Approximating Instance-Dependent Noise via Instance-Confidence Embedding
• [cs.LG]Autism Spectrum Disorder Screening Using Discriminative Brain Sub-Networks: An Entropic Approach
• [cs.LG]Deep Similarity Learning for Sports Team Ranking
• [cs.LG]ECG-TCN: Wearable Cardiac Arrhythmia Detection with a Temporal Convolutional Network
• [cs.LG]ECINN: Efficient Counterfactuals from Invertible Neural Networks
• [cs.LG]Efficient Feature Transformations for Discriminative and Generative Continual Learning
• [cs.LG]Efficient Multi-Objective Optimization for Deep Learning
• [cs.LG]Enabling Incremental Training with Forward Pass for Edge Devices
• [cs.LG]Engineering an Intelligent Essay Scoring and Feedback System: An Experience Report
• [cs.LG]Estimating Koopman operators for nonlinear dynamical systems: a nonparametric approach
• [cs.LG]FedGP: Correlation-Based Active Client Selection for Heterogeneous Federated Learning
• [cs.LG]Improving Playtesting Coverage via Curiosity Driven Reinforcement Learning Agents
• [cs.LG]Jointly Modeling Heterogeneous Student Behaviors and Interactions Among Multiple Prediction Tasks
• [cs.LG]ModGNN: Expert Policy Approximation in Multi-Agent Systems with a Modular Graph Neural Network Architecture
• [cs.LG]Multi-Label Classification Neural Networks with Hard Logical Constraints
• [cs.LG]Neural Architecture Search From Fréchet Task Distance
• [cs.LG]OTCE: A Transferability Metric for Cross-Domain Cross-Task Representations
• [cs.LG]Preserve, Promote, or Attack? GNN Explanation via Topology Perturbation
• [cs.LG]Recent Advances in Large Margin Learning
• [cs.LG]Recovering Quantitative Models of Human Information Processing with Differentiable Architecture Search
• [cs.LG]Risk Bounds and Rademacher Complexity in Batch Reinforcement Learning
• [cs.LG]Robust subgroup discovery
• [cs.LG]SMILE: Self-Distilled MIxup for Efficient Transfer LEarning
• [cs.LG]Searching for waveforms on spatially-filtered epileptic ECoG
• [cs.LG]Structured Deep Kernel Networks for Data-Driven Closure Terms of Turbulent Flows
• [cs.LG]Symmetry-Preserving Paths in Integrated Gradients
• [cs.LG]Variational Autoencoder-Based Vehicle Trajectory Prediction with an Interpretable Latent Space
• [cs.LG]Why Do Local Methods Solve Nonconvex Problems?
• [cs.MA]A Review & Framework for Modeling Complex Engineered System Development Processes
• [cs.MM]A Survey of Multimedia Technologies and Robust Algorithms
• [cs.MM]Frame-rate Up-conversion Detection Based on Convolutional Neural Network for Learning Spatiotemporal Features
• [cs.MM]MCTSteg: A Monte Carlo Tree Search-based Reinforcement Learning Framework for Universal Non-additive Steganography
• [cs.PL]The Resh Programming Language for Multirobot Orchestration
• [cs.RO]3D3L: Deep Learned 3D Keypoint Detection and Description for LiDARs
• [cs.RO]A Framework for 3D Tracking of Frontal Dynamic Objects in Autonomous Cars
• [cs.RO]A Plenum-Based Calibration Device for Tactile Sensor Arrays
• [cs.RO]A Portable, Self-Contained Neuroprosthetic Hand with Deep Learning-Based Finger Control
• [cs.RO]A Semidefinite Optimization-based Branch-and-Bound Algorithm for Several Reactive Optimal Power Flow Problems
• [cs.RO]Applications of UWB Networks and Positioning to Autonomous Robots and Industrial Systems
• [cs.RO]Bayesian Disturbance Injection: Robust Imitation Learning of Flexible Policies
• [cs.RO]Collision-Free MPC for Legged Robots in Static and Dynamic Scenes
• [cs.RO]Computationally-Efficient Roadmap-based Inspection Planning via Incremental Lazy Search
• [cs.RO]Error Identification and Recovery in Robotic Snap Assembly
• [cs.RO]Estimation of Closest In-Path Vehicle (CIPV) by Low-Channel LiDAR and Camera Sensor Fusion for Autonomous Vehicle
• [cs.RO]Evaluation of Sampling-Based Optimizing Planners for Outdoor Robot Navigation
• [cs.RO]I Know What You Would Like to Drink: Benefits and Detriments of Sharing Personal Info with a Bartender Robot
• [cs.RO]Mining Energy-Related Practices in Robotics Software
• [cs.RO]Model Predictive Actor-Critic: Accelerating Robot Skill Acquisition with Deep Reinforcement Learning
• [cs.RO]Multi Sensor Fusion for Navigation and Mapping in Autonomous Vehicles: Accurate Localization in Urban Environments
• [cs.RO]Multi-view Fusion for Multi-level Robotic Scene Understanding
• [cs.RO]Pole-like Objects Mapping and Long-Term Robot Localization in Dynamic Urban Scenarios
• [cs.RO]Self-Imitation Learning by Planning
• [cs.RO]Under Pressure: Learning to Detect Slip with Barometric Tactile Sensors
• [cs.SD]Blind Speech Separation and Dereverberation using Neural Beamforming
• [cs.SD]SubSpectral Normalization for Neural Audio Data Processing
• [cs.SE]Developing Apps for Researching the COVID-19 Pandemic with the TrackYourHealth Platform
• [eess.AS]EfficientTDNN: Efficient Architecture Search for Speaker Recognition in the Wild
• [eess.IV]3D Reasoning for Unsupervised Anomaly Detection in Pediatric WbMRI
• [eess.IV]Artificial Intelligence in Tumor Subregion Analysis Based on Medical Imaging: A Review
• [eess.IV]Closing the Loop: Joint Rain Generation and Removal via Disentangled Image Translation
• [eess.IV]Contextual Information Enhanced Convolutional Neural Networks for Retinal Vessel Segmentation in Color Fundus Images
• [eess.IV]Deep Learning with robustness to missing data: A novel approach to the detection of COVID-19
• [eess.IV]Designing a Practical Degradation Model for Deep Blind Image Super-Resolution
• [eess.IV]Entropy Minimizing Matrix Factorization
• [eess.IV]Explainability Guided Multi-Site COVID-19 CT Classification
• [eess.IV]Feature Weighted Non-negative Matrix Factorization
• [eess.IV]Task-Oriented Low-Dose CT Image Denoising
• [eess.IV]Zero-shot super-resolution with a physically-motivated downsampling kernel for endomicroscopy
• [eess.SP]Adversarial Attacks on Deep Learning Based mmWave Beam Prediction in 5G and Beyond
• [eess.SY]Actuator Fault-Tolerant Vehicle Motion Control: A Survey
• [eess.SY]Experimental Validation of Linear and Nonlinear MPC on an Articulated Unmanned Ground Vehicle
• [eess.SY]Sample-efficient Plasma Spray Process Configuration with Constrained Bayesian Optimization
• [math.NA]Analysis of Truncated Orthogonal Iteration for Sparse Eigenvector Problems
• [math.NA]Model Order Reduction based on Runge-Kutta Neural Network
• [math.OC]Anonymous Tolling for Traffic Networks with Mixed Autonomy
• [math.OC]Compressed Gradient Tracking for Decentralized Optimization with Linear Convergence
• [math.OC]On the Convexity of Discrete Time Covariance Steering in Stochastic Linear Systems with Wasserstein Terminal Cost
• [math.OC]Regularization by Denoising Sub-sampled Newton Method for Spectral CT Multi-Material Decomposition
• [math.PR]De Finetti-Style Results for Wishart Matrices: Combinatorial Structure and Phase Transitions
• [math.ST]Biwhitening Reveals the Rank of a Count Matrix
• [math.ST]Conditions and Assumptions for Constraint-based Causal Structure Learning
• [math.ST]Logarithmic law of large random correlation matrix
• [physics.app-ph]Machine Learning-based Automatic Graphene Detection with Color Correction for Optical Microscope Images
• [physics.data-an]Mixture Density Network Estimation of Continuous Variable Maximum Likelihood Using Discrete Training Samples
• [physics.soc-ph]Quantifying the efficacy of childcare services on women employment
• [quant-ph]Learning Temporal Quantum Tomography
• [stat.AP]Investigating the Relationship Between Air Quality and COVID-19 Transmission
• [stat.AP]Social and material vulnerability in the face of seismic hazard: an analysis of the Italian case
• [stat.AP]The Ci3+3 Design for Dual-Agent Combination Dose-Finding Clinical Trials
• [stat.ME]A scalable hierarchical lasso for gene-environment interactions
• [stat.ME]An Efficient Method for Computing Expected Value of Sample Information for Survival Data from an Ongoing Trial
• [stat.ME]Maximum pairwise-rank-likelihood-based inference for the semiparametric transformation model
• [stat.ME]Statistical Integration of Heterogeneous Data with PO2PLS
• [stat.ME]Testing for threshold effects in the TARMA framework
• [stat.ML]Asymptotic Freeness of Layerwise Jacobians Caused by Invariance of Multilayer Perceptron: The Haar Orthogonal Case
• [stat.ML]Causal Inference Under Unmeasured Confounding With Negative Controls: A Minimax Learning Approach
• [stat.ML]Data Generation in Low Sample Size Setting Using Manifold Sampling and a Geometry-Aware VAE
• [stat.ML]Interpretable Approximation of High-Dimensional Data
• [stat.ML]Multinomial Logit Contextual Bandits: Provable Optimality and Practicality
• [stat.ML]Prediction in the presence of response-dependent missing labels
• [stat.ML]The Shapley Value of coalition of variables provides better explanations
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• [cs.AI]Active Tree Search in Large POMDPs
Domenico Maisto, Francesco Gregoretti, Karl Friston, Giovanni Pezzulo
http://arxiv.org/abs/2103.13860v1
• [cs.AI]AgentFormer: Agent-Aware Transformers for Socio-Temporal Multi-Agent Forecasting
Ye Yuan, Xinshuo Weng, Yanglan Ou, Kris Kitani
http://arxiv.org/abs/2103.14023v1
• [cs.AI]An evidential classifier based on Dempster-Shafer theory and deep learning
Zheng Tong, Philippe Xu, Thierry Denœux
http://arxiv.org/abs/2103.13549v1
• [cs.AI]Hierarchical Program-Triggered Reinforcement Learning Agents For Automated Driving
Briti Gangopadhyay, Harshit Soora, Pallab Dasgupta
http://arxiv.org/abs/2103.13861v1
• [cs.AI]Measure Theoretic Weighted Model Integration
Ivan Miosic, Pedro Zuidberg Dos Martires
http://arxiv.org/abs/2103.13901v1
• [cs.AI]On the Complexity of Learning Description Logic Ontologies
Ana Ozaki
http://arxiv.org/abs/2103.13694v1
• [cs.AI]Projection: A Mechanism for Human-like Reasoning in Artificial Intelligence
Frank Guerin
http://arxiv.org/abs/2103.13512v1
• [cs.AI]Similarity-Based Equational Inference in Physics
Jordan Meadows, André Freitas
http://arxiv.org/abs/2103.13496v1
• [cs.AI]The Inescapable Duality of Data and Knowledge
Amit Sheth, Krishnaprasad Thirunarayan
http://arxiv.org/abs/2103.13520v1
• [cs.CG]Shadoks Approach to Low-Makespan Coordinated Motion Planning
Loïc Crombez, Guilherme D. da Fonseca, Yan Gerard, Aldo González-Lorenzo, Pascal Lafourcade, Luc Libralesso
http://arxiv.org/abs/2103.13956v1
• [cs.CL]An Approach to Improve Robustness of NLP Systems against ASR Errors
Tong Cui, Jinghui Xiao, Liangyou Li, Xin Jiang, Qun Liu
http://arxiv.org/abs/2103.13610v1
• [cs.CL]BERT4SO: Neural Sentence Ordering by Fine-tuning BERT
Yutao Zhu, Jian-Yun Nie, Kun Zhou, Shengchao Liu, Pan Du
http://arxiv.org/abs/2103.13584v1
• [cs.CL]Benchmarking Modern Named Entity Recognition Techniques for Free-text Health Record De-identification
Abdullah Ahmed, Adeel Abbasi, Carsten Eickhoff
http://arxiv.org/abs/2103.13546v1
• [cs.CL]Bertinho: Galician BERT Representations
David Vilares, Marcos Garcia, Carlos Gómez-Rodríguez
http://arxiv.org/abs/2103.13799v1
• [cs.CL]Equality before the Law: Legal Judgment Consistency Analysis for Fairness
Yuzhong Wang, Chaojun Xiao, Shirong Ma, Haoxi Zhong, Cunchao Tu, Tianyang Zhang, Zhiyuan Liu, Maosong Sun
http://arxiv.org/abs/2103.13868v1
• [cs.CL]Improving Online Forums Summarization via Unifying Hierarchical Attention Networks with Convolutional Neural Networks
Sansiri Tarnpradab, Fereshteh Jafariakinabad, Kien A. Hua
http://arxiv.org/abs/2103.13587v1
• [cs.CL]Learning to Generate Code Comments from Class Hierarchies
Jiyang Zhang, Sheena Panthaplackel, Pengyu Nie, Raymond J. Mooney, Junyi Jessy Li, Milos Gligoric
http://arxiv.org/abs/2103.13426v1
• [cs.CL]Mask Attention Networks: Rethinking and Strengthen Transformer
Zhihao Fan, Yeyun Gong, Dayiheng Liu, Zhongyu Wei, Siyuan Wang, Jian Jiao, Nan Duan, Ruofei Zhang, Xuanjing Huang
http://arxiv.org/abs/2103.13597v1
• [cs.CL]Predicting Directionality in Causal Relations in Text
Pedram Hosseini, David A. Broniatowski, Mona Diab
http://arxiv.org/abs/2103.13606v1
• [cs.CL]Pruning-then-Expanding Model for Domain Adaptation of Neural Machine Translation
Shuhao Gu, Yang Feng, Wanying Xie
http://arxiv.org/abs/2103.13678v1
• [cs.CL]Reading and Acting while Blindfolded: The Need for Semantics in Text Game Agents
Shunyu Yao, Karthik Narasimhan, Matthew Hausknecht
http://arxiv.org/abs/2103.13552v1
• [cs.CL]Real-time low-resource phoneme recognition on edge devices
Yonatan Alon
http://arxiv.org/abs/2103.13997v1
• [cs.CL]StyleKQC: A Style-Variant Paraphrase Corpus for Korean Questions and Commands
Won Ik Cho, Sangwhan Moon, Jong In Kim, Seok Min Kim, Nam Soo Kim
http://arxiv.org/abs/2103.13439v1
• [cs.CL]Term-community-based topic detection with variable resolution
Andreas Hamm, Simon Odrowski
http://arxiv.org/abs/2103.13550v1
• [cs.CL]Visual Grounding Strategies for Text-Only Natural Language Processing
Damien Sileo
http://arxiv.org/abs/2103.13942v1
• [cs.CR]An Empirical Analysis of Image-Based Learning Techniques for Malware Classification
Pratikkumar Prajapati, Mark Stamp
http://arxiv.org/abs/2103.13827v1
• [cs.CR]HufuNet: Embedding the Left Piece as Watermark and Keeping the Right Piece for Ownership Verification in Deep Neural Networks
Peizhuo Lv, Pan Li, Shengzhi Zhang, Kai Chen, Ruigang Liang, Yue Zhao, Yingjiu Li
http://arxiv.org/abs/2103.13628v1
• [cs.CV]A Broad Study on the Transferability of Visual Representations with Contrastive Learning
Ashraful Islam, Chun-Fu Chen, Rameswar Panda, Leonid Karlinsky, Richard Radke, Rogerio Feris
http://arxiv.org/abs/2103.13517v1
• [cs.CV]A Survey of Quantization Methods for Efficient Neural Network Inference
Amir Gholami, Sehoon Kim, Zhen Dong, Zhewei Yao, Michael W. Mahoney, Kurt Keutzer
http://arxiv.org/abs/2103.13630v1
• [cs.CV]An Image is Worth 16x16 Words, What is a Video Worth?
Gilad Sharir, Asaf Noy, Lihi Zelnik-Manor
http://arxiv.org/abs/2103.13915v1
• [cs.CV]Asymmetric CNN for image super-resolution
Chunwei Tian, Yong Xu, Wangmeng Zuo, Chia-Wen Lin, David Zhang
http://arxiv.org/abs/2103.13634v1
• [cs.CV]AttrLostGAN: Attribute Controlled Image Synthesis from Reconfigurable Layout and Style
Stanislav Frolov, Avneesh Sharma, Jörn Hees, Tushar Karayil, Federico Raue, Andreas Dengel
http://arxiv.org/abs/2103.13722v1
• [cs.CV]AutoLoss-Zero: Searching Loss Functions from Scratch for Generic Tasks
Hao Li, Tianwen Fu, Jifeng Dai, Hongsheng Li, Gao Huang, Xizhou Zhu
http://arxiv.org/abs/2103.14026v1
• [cs.CV]Boosting Binary Masks for Multi-Domain Learning through Affine Transformations
Massimiliano Mancini, Elisa Ricci, Barbara Caputo, Samuel Rota Buló
http://arxiv.org/abs/2103.13894v1
• [cs.CV]Contrast to Divide: Self-Supervised Pre-Training for Learning with Noisy Labels
Evgenii Zheltonozhskii, Chaim Baskin, Avi Mendelson, Alex M. Bronstein, Or Litany
http://arxiv.org/abs/2103.13646v1
• [cs.CV]Contrasting Contrastive Self-Supervised Representation Learning Models
Klemen Kotar, Gabriel Ilharco, Ludwig Schmidt, Kiana Ehsani, Roozbeh Mottaghi
http://arxiv.org/abs/2103.14005v1
• [cs.CV]DRANet: Disentangling Representation and Adaptation Networks for Unsupervised Cross-Domain Adaptation
Seunghun Lee, Sunghyun Cho, Sunghoon Im
http://arxiv.org/abs/2103.13447v1
• [cs.CV]DRO: Deep Recurrent Optimizer for Structure-from-Motion
Xiaodong Gu, Weihao Yuan, Zuozhuo Dai, Siyu Zhu, Chengzhou Tang, Ping Tan
http://arxiv.org/abs/2103.13201v2
• [cs.CV]Deepfake Forensics via An Adversarial Game
Zhi Wang, Yiwen Guo, Wangmeng Zuo
http://arxiv.org/abs/2103.13567v1
• [cs.CV]Disentanglement-based Cross-Domain Feature Augmentation for Effective Unsupervised Domain Adaptive Person Re-identification
Zhizheng Zhang, Cuiling Lan, Wenjun Zeng, Quanzeng You, Zicheng Liu, Kecheng Zheng, Zhibo Chen
http://arxiv.org/abs/2103.13917v1
• [cs.CV]Diverse Branch Block: Building a Convolution as an Inception-like Unit
Xiaohan Ding, Xiangyu Zhang, Jungong Han, Guiguang Ding
http://arxiv.org/abs/2103.13425v1
• [cs.CV]Evidential fully convolutional network for semantic segmentation
Zheng Tong, Philippe Xu, Thierry Denœux
http://arxiv.org/abs/2103.13544v1
• [cs.CV]Exploiting Class Similarity for Machine Learning with Confidence Labels and Projective Loss Functions
Gautam Rajendrakumar Gare, John Michael Galeotti
http://arxiv.org/abs/2103.13607v1
• [cs.CV]Foreground color prediction through inverse compositing
Sebastian Lutz, Aljosa Smolic
http://arxiv.org/abs/2103.13423v1
• [cs.CV]Gaussian Guided IoU: A Better Metric for Balanced Learning on Object Detection
Shengkai Wu, Jinrong Yang, Hangcheng Yu, Lijun Gou, Xiaoping Li
http://arxiv.org/abs/2103.13613v1
• [cs.CV]Generative-Adversarial-Networks-based Ghost Recognition
Yuchen He, Yibing Chen, Hui Chen, Huaibin Zheng, Jianbin Liu, Shitao Zhu, Zhuo Xu
http://arxiv.org/abs/2103.13858v1
• [cs.CV]GridDehazeNet+: An Enhanced Multi-Scale Network with Intra-Task Knowledge Transfer for Single Image Dehazing
Xiaohong Liu, Zhihao Shi, Zijun Wu, Jun Chen
http://arxiv.org/abs/2103.13998v1
• [cs.CV]Group-CAM: Group Score-Weighted Visual Explanations for Deep Convolutional Networks
Qinglong Zhang, Yubin Yang
http://arxiv.org/abs/2103.13859v1
• [cs.CV]GyroFlow: Gyroscope-Guided Unsupervised Optical Flow Learning
Haipeng Li, Kunming Luo, Shuaicheng Liu
http://arxiv.org/abs/2103.13725v1
• [cs.CV]Hierarchical Deep CNN Feature Set-Based Representation Learning for Robust Cross-Resolution Face Recognition
Guangwei Gao, Yi Yu, Jian Yang, Guo-Jun Qi, Meng Yang
http://arxiv.org/abs/2103.13851v1
• [cs.CV]Hierarchical Proxy-based Loss for Deep Metric Learning
Zhibo Yang, Muhammet Bastan, Xinliang Zhu, Doug Gray, Dimitris Samaras
http://arxiv.org/abs/2103.13538v1
• [cs.CV]High-Fidelity Pluralistic Image Completion with Transformers
Ziyu Wan, Jingbo Zhang, Dongdong Chen, Jing Liao
http://arxiv.org/abs/2103.14031v1
• [cs.CV]I^3Net: Implicit Instance-Invariant Network for Adapting One-Stage Object Detectors
Chaoqi Chen, Zebiao Zheng, Yue Huang, Xinghao Ding, Yizhou Yu
http://arxiv.org/abs/2103.13757v1
• [cs.CV]Inferring Latent Domains for Unsupervised Deep Domain Adaptation
Massimiliano Mancini, Lorenzo Porzi, Samuel Rota Bulò, Barbara Caputo, Elisa Ricci
http://arxiv.org/abs/2103.13873v1
• [cs.CV]JDSR-GAN: Constructing A Joint and Collaborative Learning Network for Masked Face Super-Resolution
Guangwei Gao, Lei Tang, Yi Yu, Fei Wu, Huimin Lu, Jian Yang
http://arxiv.org/abs/2103.13676v1
• [cs.CV]KiloNeRF: Speeding up Neural Radiance Fields with Thousands of Tiny MLPs
Christian Reiser, Songyou Peng, Yiyi Liao, Andreas Geiger
http://arxiv.org/abs/2103.13744v1
• [cs.CV]Learning Dynamic Alignment via Meta-filter for Few-shot Learning
Chengming Xu, Chen Liu, Li Zhang, Chengjie Wang, Jilin Li, Feiyue Huang, Xiangyang Xue, Yanwei Fu
http://arxiv.org/abs/2103.13582v1
• [cs.CV]Learning Probabilistic Ordinal Embeddings for Uncertainty-Aware Regression
Wanhua Li, Xiaoke Huang, Jiwen Lu, Jianjiang Feng, Jie Zhou
http://arxiv.org/abs/2103.13629v1
• [cs.CV]MBA-VO: Motion Blur Aware Visual Odometry
Peidong Liu, Xingxing Zuo, Viktor Larsson, Marc Pollefeys
http://arxiv.org/abs/2103.13684v1
• [cs.CV]Matched sample selection with GANs for mitigating attribute confounding
Chandan Singh, Guha Balakrishnan, Pietro Perona
http://arxiv.org/abs/2103.13455v1
• [cs.CV]MetaAlign: Coordinating Domain Alignment and Classification for Unsupervised Domain Adaptation
Guoqiang Wei, Cuiling Lan, Wenjun Zeng, Zhibo Chen
http://arxiv.org/abs/2103.13575v1
• [cs.CV]Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance Fields
Jonathan T. Barron, Ben Mildenhall, Matthew Tancik, Peter Hedman, Ricardo Martin-Brualla, Pratul P. Srinivasan
http://arxiv.org/abs/2103.13415v1
• [cs.CV]More Photos are All You Need: Semi-Supervised Learning for Fine-Grained Sketch Based Image Retrieval
Ayan Kumar Bhunia, Pinaki Nath Chowdhury, Aneeshan Sain, Yongxin Yang, Tao Xiang, Yi-Zhe Song
http://arxiv.org/abs/2103.13990v1
• [cs.CV]Multi-Target Domain Adaptation via Unsupervised Domain Classification for Weather Invariant Object Detection
Ting Sun, Jinlin Chen, Francis Ng
http://arxiv.org/abs/2103.13970v1
• [cs.CV]Multi-frame Super-resolution from Noisy Data
Kireeti Bodduna, Joachim Weickert
http://arxiv.org/abs/2103.13778v1
• [cs.CV]On Evolving Attention Towards Domain Adaptation
Kekai Sheng, Ke Li, Xiawu Zheng, Jian Liang, Weiming Dong, Feiyue Huang, Rongrong Ji, Xing Sun
http://arxiv.org/abs/2103.13561v1
• [cs.CV]Orthogonal Projection Loss
Kanchana Ranasinghe, Muzammal Naseer, Munawar Hayat, Salman Khan, Fahad Shahbaz Khan
http://arxiv.org/abs/2103.14021v1
• [cs.CV]Patch Craft: Video Denoising by Deep Modeling and Patch Matching
Gregory Vaksman, Michael Elad, Peyman Milanfar
http://arxiv.org/abs/2103.13767v1
• [cs.CV]PlenOctrees for Real-time Rendering of Neural Radiance Fields
Alex Yu, Ruilong Li, Matthew Tancik, Hao Li, Ren Ng, Angjoo Kanazawa
http://arxiv.org/abs/2103.14024v1
• [cs.CV]Progressive-X+: Clustering in the Consensus Space
Daniel Barath, Denys Rozumny, Ivan Eichhardt, Levente Hajder, Jiri Matas
http://arxiv.org/abs/2103.13875v1
• [cs.CV]Rethinking Deep Contrastive Learning with Embedding Memory
Haozhi Zhang, Xun Wang, Weilin Huang, Matthew R. Scott
http://arxiv.org/abs/2103.14003v1
• [cs.CV]Rethinking Self-Supervised Learning: Small is Beautiful
Yun-Hao Cao, Jianxin Wu
http://arxiv.org/abs/2103.13559v1
• [cs.CV]SSLayout360: Semi-Supervised Indoor Layout Estimation from 360 Panorama
Phi Vu Tran
http://arxiv.org/abs/2103.13696v1
• [cs.CV]STA-VPR: Spatio-temporal Alignment for Visual Place Recognition
Feng Lu, Baifan Chen, Xiang-Dong Zhou, Dezhen Song
http://arxiv.org/abs/2103.13580v1
• [cs.CV]Scaling-up Disentanglement for Image Translation
Aviv Gabbay, Yedid Hoshen
http://arxiv.org/abs/2103.14017v1
• [cs.CV]ScanGAN360: A Generative Model of Realistic Scanpaths for 360 Images
Daniel Martin, Ana Serrano, Alexander W. Bergman, Gordon Wetzstein, Belen Masia
http://arxiv.org/abs/2103.13922v1
• [cs.CV]Self-Supervised Training Enhances Online Continual Learning
Jhair Gallardo, Tyler L. Hayes, Christopher Kanan
http://arxiv.org/abs/2103.14010v1
• [cs.CV]Spatial-spectral Hyperspectral Image Classification via Multiple Random Anchor Graphs Ensemble Learning
Yanling Miao, Qi Wang, Mulin Chen, Xuelong Li
http://arxiv.org/abs/2103.13710v1
• [cs.CV]Spirit Distillation: Precise Real-time Prediction with Insufficient Data
Zhiyuan Wu, Hong Qi, Yu Jiang, Chupeng Cui, Zongmin Yang, Xinhui Xue
http://arxiv.org/abs/2103.13733v1
• [cs.CV]StyleLess layer: Improving robustness for real-world driving
Julien Rebut, Andrei Bursuc, Patrick Pérez
http://arxiv.org/abs/2103.13905v1
• [cs.CV]Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
Ze Liu, Yutong Lin, Yue Cao, Han Hu, Yixuan Wei, Zheng Zhang, Stephen Lin, Baining Guo
http://arxiv.org/abs/2103.14030v1
• [cs.CV]THAT: Two Head Adversarial Training for Improving Robustness at Scale
Zuxuan Wu, Tom Goldstein, Larry S. Davis, Ser-Nam Lim
http://arxiv.org/abs/2103.13612v1
• [cs.CV]TagMe: GPS-Assisted Automatic Object Annotation in Videos
Songtao He, Favyen Bastani, Mohammad Alizadeh, Hari Balakrishnan, Michael Cafarella, Tim Kraska, Sam Madden
http://arxiv.org/abs/2103.13428v1
• [cs.CV]Test-Time Training for Deformable Multi-Scale Image Registration
Wentao Zhu, Yufang Huang, Daguang Xu, Zhen Qian, Wei Fan, Xiaohui Xie
http://arxiv.org/abs/2103.13578v1
• [cs.CV]The ThreeDWorld Transport Challenge: A Visually Guided Task-and-Motion Planning Benchmark for Physically Realistic Embodied AI
Chuang Gan, Siyuan Zhou, Jeremy Schwartz, Seth Alter, Abhishek Bhandwaldar, Dan Gutfreund, Daniel L. K. Yamins, James J DiCarlo, Josh McDermott, Antonio Torralba, Joshua B. Tenenbaum
http://arxiv.org/abs/2103.14025v1
• [cs.CV]Tracking Pedestrian Heads in Dense Crowd
Ramana Sundararaman, Cedric De Almeida Braga, Eric Marchand, Julien Pettre
http://arxiv.org/abs/2103.13516v1
• [cs.CV]Transform consistency for learning with noisy labels
Rumeng Yi, Yaping Huang
http://arxiv.org/abs/2103.13872v1
• [cs.CV]USB: Universal-Scale Object Detection Benchmark
Yosuke Shinya
http://arxiv.org/abs/2103.14027v1
• [cs.CV]Universal Representation Learning from Multiple Domains for Few-shot Classification
Wei-Hong Li, Xialei Liu, Hakan Bilen
http://arxiv.org/abs/2103.13841v1
• [cs.CV]Unmanned Aerial Vehicle Visual Detection and Tracking using Deep Neural Networks: A Performance Benchmark
Brian K. S. Isaac-Medina, Matt Poyser, Daniel Organisciak, Chris G. Willcocks, Toby P. Breckon, Hubert P. H. Shum
http://arxiv.org/abs/2103.13933v1
• [cs.CV]Vectorization and Rasterization: Self-Supervised Learning for Sketch and Handwriting
Ayan Kumar Bhunia, Pinaki Nath Chowdhury, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song
http://arxiv.org/abs/2103.13716v1
• [cs.CV]Video Instance Segmentation with a Propose-Reduce Paradigm
Huaijia Lin, Ruizheng Wu, Shu Liu, Jiangbo Lu, Jiaya Jia
http://arxiv.org/abs/2103.13746v1
• [cs.CV]Vision Transformers for Dense Prediction
René Ranftl, Alexey Bochkovskiy, Vladlen Koltun
http://arxiv.org/abs/2103.13413v1
• [cs.CY]Computational Mechanism for the Effect of Psychosis Community Treatment: A Conceptual Review from Neurobiology to Social Interaction
David Benrimoh, Ely Sibarium, Andrew Sheldon, Albert Powers
http://arxiv.org/abs/2103.13924v1
• [cs.CY]Female ICT participation in South-Eastern Nigerian Tertiary Institutions: Inhibiting Factors
Chinyere A. Nwajiuba, Elochukwu Ukwandu
http://arxiv.org/abs/2103.13391v1
• [cs.DC]ButterFly BFS — An Efficient Communication Pattern for Multi Node Traversals
Oded Green
http://arxiv.org/abs/2103.13577v1
• [cs.DL]A comparative analysis of local network similarity measurements: application to author citation networks
Adilson Vital Jr., Diego R. Amancio
http://arxiv.org/abs/2103.13946v1
• [cs.DL]Improving Editorial Workflow and Metadata Quality at Springer Nature
Angelo A. Salatino, Francesco Osborne, Aliaksandr Birukou, Enrico Motta
http://arxiv.org/abs/2103.13527v1
• [cs.DL]Ontology-Based Recommendation of Editorial Products
Thiviyan Thanapalasingam, Francesco Osborne, Aliaksandr Birukou, Enrico Motta
http://arxiv.org/abs/2103.13526v1
• [cs.HC]Considerations and Challenges of Measuring Operator Performance in Telepresence and Teleoperation Entailing Mixed Reality Technologies
Eleftherios Triantafyllidis, Zhibin Li
http://arxiv.org/abs/2103.12702v2
• [cs.IR]Fairness in Ranking: A Survey
Meike Zehlike, Ke Yang, Julia Stoyanovich
http://arxiv.org/abs/2103.14000v1
• [cs.IR]Hierarchical Hyperedge Embedding-based Representation Learning for Group Recommendation
Lei Guo, Hongzhi Yin, Tong Chen, Xiangliang Zhang, Kai Zheng
http://arxiv.org/abs/2103.13506v1
• [cs.IT]A Message Passing based Adaptive PDA Algorithm for Robust Radio-based Localization and Tracking
Alexander Venus, Erik Leitinger, Stefan Tertinek, Klaus Witrisal
http://arxiv.org/abs/2103.13188v2
• [cs.IT]A family of projective two-weight linear codes
Ziling Heng, Dexiang Li, Jiao Du, Fuling Chen
http://arxiv.org/abs/2103.13633v1
• [cs.IT]Directed Data-Processing Inequalities for Systems with Feedback
Milan S. Derpich, Jan Østergaard
http://arxiv.org/abs/2103.13591v1
• [cs.IT]Expectation-Maximization Learning for Wireless Channel Modeling of Reconfigurable Intelligent Surfaces
José David Vega Sánchez, Luis Urquiza-Aguiar, Martha Cecilia Paredes Paredes, F. Javier López-Martínez
http://arxiv.org/abs/2103.13525v1
• [cs.IT]Harvested Power Region of Two-user MISO WPT Systems With Non-linear EH Nodes
Nikita Shanin, Laura Cottatellucci, Robert Schober
http://arxiv.org/abs/2103.13802v1
• [cs.IT]Meta-ViterbiNet: Online Meta-Learned Viterbi Equalization for Non-Stationary Channels
Tomer Raviv, Sangwoo Park, Nir Shlezinger, Osvaldo Simeone, Yonina C. Eldar, Joonhyuk Kang
http://arxiv.org/abs/2103.13483v1
• [cs.IT]On Optimal Power Control for Energy Harvesting Communications with Lookahead
Ali Zibaeenejad, Shengtian Yang, Jun Chen
http://arxiv.org/abs/2103.13797v1
• [cs.LG]A Novel Adaptive Minority Oversampling Technique for Improved Classification in Data Imbalanced Scenarios
Ayush Triapthi, Rupayan Chakraborty, Sunil Kumar Kopparapu
http://arxiv.org/abs/2103.13823v1
• [cs.LG]A Retail Product Categorisation Dataset
Febin Sebastian Elayanithottathil, Janis Keuper
http://arxiv.org/abs/2103.13864v1
• [cs.LG]A Simple and Efficient Stochastic Rounding Method for Training Neural Networks in Low Precision
Lu Xia, Martijn Anthonissen, Michiel Hochstenbach, Barry Koren
http://arxiv.org/abs/2103.13445v1
• [cs.LG]A Variational Inequality Approach to Bayesian Regression Games
Wenshuo Guo, Michael I. Jordan, Tianyi Lin
http://arxiv.org/abs/2103.13509v1
• [cs.LG]About the regularity of the discriminator in conditional WGANs
Jörg Martin
http://arxiv.org/abs/2103.13906v1
• [cs.LG]Active Multitask Learning with Committees
Jingxi Xu, Da Tang, Tony Jebara
http://arxiv.org/abs/2103.13420v1
• [cs.LG]Active Structure Learning of Bayesian Networks in an Observational Setting
Noa Ben-David, Sivan Sabato
http://arxiv.org/abs/2103.13796v1
• [cs.LG]Addressing catastrophic forgetting for medical domain expansion
Sharut Gupta, Praveer Singh, Ken Chang, Liangqiong Qu, Mehak Aggarwal, Nishanth Arun, Ashwin Vaswani, Shruti Raghavan, Vibha Agarwal, Mishka Gidwani, Katharina Hoebel, Jay Patel, Charles Lu, Christopher P. Bridge, Daniel L. Rubin, Jayashree Kalpathy-Cramer
http://arxiv.org/abs/2103.13511v1
• [cs.LG]Adversarial Imitation Learning with Trajectorial Augmentation and Correction
Dafni Antotsiou, Carlo Ciliberto, Tae-Kyun Kim
http://arxiv.org/abs/2103.13887v1
• [cs.LG]Any Part of Bayesian Network Structure Learning
Zhaolong Ling, Kui Yu, Hao Wang, Lin Liu, Jiuyong Li
http://arxiv.org/abs/2103.13810v1
• [cs.LG]Approximating Instance-Dependent Noise via Instance-Confidence Embedding
Yivan Zhang, Masashi Sugiyama
http://arxiv.org/abs/2103.13569v1
• [cs.LG]Autism Spectrum Disorder Screening Using Discriminative Brain Sub-Networks: An Entropic Approach
Mohammad Amin, Farshad Safaei
http://arxiv.org/abs/2103.13850v1
• [cs.LG]Deep Similarity Learning for Sports Team Ranking
Daniel Yazbek, Jonathan Sandile Sibindi, Terence L. Van Zyl
http://arxiv.org/abs/2103.13736v1
• [cs.LG]ECG-TCN: Wearable Cardiac Arrhythmia Detection with a Temporal Convolutional Network
Thorir Mar Ingolfsson, Xiaying Wang, Michael Hersche, Alessio Burrello, Lukas Cavigelli, Luca Benini
http://arxiv.org/abs/2103.13740v1
• [cs.LG]ECINN: Efficient Counterfactuals from Invertible Neural Networks
Frederik Hvilshøj, Alexandros Iosifidis, Ira Assent
http://arxiv.org/abs/2103.13701v1
• [cs.LG]Efficient Feature Transformations for Discriminative and Generative Continual Learning
Vinay Kumar Verma, Kevin J Liang, Nikhil Mehta, Piyush Rai, Lawrence Carin
http://arxiv.org/abs/2103.13558v1
• [cs.LG]Efficient Multi-Objective Optimization for Deep Learning
Michael Ruchte, Josif Grabocka
http://arxiv.org/abs/2103.13392v1
• [cs.LG]Enabling Incremental Training with Forward Pass for Edge Devices
Dana AbdulQader, Shoba Krishnan, Claudionor N. Coelho Jr
http://arxiv.org/abs/2103.14007v1
• [cs.LG]Engineering an Intelligent Essay Scoring and Feedback System: An Experience Report
Akriti Chadda, Kelly Song, Raman Chandrasekar, Ian Gorton
http://arxiv.org/abs/2103.13590v1
• [cs.LG]Estimating Koopman operators for nonlinear dynamical systems: a nonparametric approach
Francesco Zanini, Alessandro Chiuso
http://arxiv.org/abs/2103.13752v1
• [cs.LG]FedGP: Correlation-Based Active Client Selection for Heterogeneous Federated Learning
Minxue Tang, Xuefei Ning, Yitu Wang, Yu Wang, Yiran Chen
http://arxiv.org/abs/2103.13822v1
• [cs.LG]Improving Playtesting Coverage via Curiosity Driven Reinforcement Learning Agents
Camilo Gordillo, Joakim Bergdahl, Konrad Tollmar, Linus Gisslén
http://arxiv.org/abs/2103.13798v1
• [cs.LG]Jointly Modeling Heterogeneous Student Behaviors and Interactions Among Multiple Prediction Tasks
Haobing Liu, Yanmin Zhu, Tianzi Zang, Yanan Xu, Jiadi Yu, Feilong Tang
http://arxiv.org/abs/2103.13565v1
• [cs.LG]ModGNN: Expert Policy Approximation in Multi-Agent Systems with a Modular Graph Neural Network Architecture
Ryan Kortvelesy, Amanda Prorok
http://arxiv.org/abs/2103.13446v1
• [cs.LG]Multi-Label Classification Neural Networks with Hard Logical Constraints
Eleonora Giunchiglia, Thomas Lukasiewicz
http://arxiv.org/abs/2103.13427v1
• [cs.LG]Neural Architecture Search From Fréchet Task Distance
Cat P. Le, Mohammadreza Soltani, Robert Ravier, Trevor Standley, Silvio Savarese, Vahid Tarokh
http://arxiv.org/abs/2103.12827v2
• [cs.LG]OTCE: A Transferability Metric for Cross-Domain Cross-Task Representations
Yang Tan, Yang Li, Shao-Lun Huang
http://arxiv.org/abs/2103.13843v1
• [cs.LG]Preserve, Promote, or Attack? GNN Explanation via Topology Perturbation
Yi Sun, Abel Valente, Sijia Liu, Dakuo Wang
http://arxiv.org/abs/2103.13944v1
• [cs.LG]Recent Advances in Large Margin Learning
Yiwen Guo, Changshui Zhang
http://arxiv.org/abs/2103.13598v1
• [cs.LG]Recovering Quantitative Models of Human Information Processing with Differentiable Architecture Search
Sebastian Musslick
http://arxiv.org/abs/2103.13939v1
• [cs.LG]Risk Bounds and Rademacher Complexity in Batch Reinforcement Learning
Yaqi Duan, Chi Jin, Zhiyuan Li
http://arxiv.org/abs/2103.13883v1
• [cs.LG]Robust subgroup discovery
Hugo Manuel Proença, Thomas Bäck, Matthijs van Leeuwen
http://arxiv.org/abs/2103.13686v1
• [cs.LG]SMILE: Self-Distilled MIxup for Efficient Transfer LEarning
Xingjian Li, Haoyi Xiong, Chengzhong Xu, Dejing Dou
http://arxiv.org/abs/2103.13941v1
• [cs.LG]Searching for waveforms on spatially-filtered epileptic ECoG
Carlos H. Mendoza-Cardenas, Austin J. Brockmeier
http://arxiv.org/abs/2103.13853v1
• [cs.LG]Structured Deep Kernel Networks for Data-Driven Closure Terms of Turbulent Flows
Tizian Wenzel, Marius Kurz, Andrea Beck, Gabriele Santin, Bernard Haasdonk
http://arxiv.org/abs/2103.13655v1
• [cs.LG]Symmetry-Preserving Paths in Integrated Gradients
Miguel Lerma, Mirtha Lucas
http://arxiv.org/abs/2103.13533v1
• [cs.LG]Variational Autoencoder-Based Vehicle Trajectory Prediction with an Interpretable Latent Space
Marion Neumeier, Andreas Tollkühn, Thomas Berberich, Michael Botsch
http://arxiv.org/abs/2103.13726v1
• [cs.LG]Why Do Local Methods Solve Nonconvex Problems?
Tengyu Ma
http://arxiv.org/abs/2103.13462v1
• [cs.MA]A Review & Framework for Modeling Complex Engineered System Development Processes
John Meluso, Jesse Austin-Breneman, James P. Bagrow, Laurent Hébert-Dufresne
http://arxiv.org/abs/2103.12820v2
• [cs.MM]A Survey of Multimedia Technologies and Robust Algorithms
Zijian Kuang, Xinran Tie
http://arxiv.org/abs/2103.13477v1
• [cs.MM]Frame-rate Up-conversion Detection Based on Convolutional Neural Network for Learning Spatiotemporal Features
Minseok Yoon, Seung-Hun Nam, In-Jae Yu, Wonhyuk Ahn, Myung-Joon Kwon, Heung-Kyu Lee
http://arxiv.org/abs/2103.13674v1
• [cs.MM]MCTSteg: A Monte Carlo Tree Search-based Reinforcement Learning Framework for Universal Non-additive Steganography
Xianbo Mo, Shunquan Tan, Bin Li, Jiwu Huang
http://arxiv.org/abs/2103.13689v1
• [cs.PL]The Resh Programming Language for Multirobot Orchestration
Martin Carroll, Kedar S. Namjoshi, Itai Segall
http://arxiv.org/abs/2103.13921v1
• [cs.RO]3D3L: Deep Learned 3D Keypoint Detection and Description for LiDARs
Dominc Streiff, Lukas Bernreiter, Florian Tschopp, Marius Fehr, Roland Siegwart
http://arxiv.org/abs/2103.13808v1
• [cs.RO]A Framework for 3D Tracking of Frontal Dynamic Objects in Autonomous Cars
Faraz Lotfi, Hamid D. Taghirad
http://arxiv.org/abs/2103.13430v1
• [cs.RO]A Plenum-Based Calibration Device for Tactile Sensor Arrays
Joan Kangro, Anand Vazhapilli Sureshbabu, Silvio Traversaro, Daniele Pucci, Francesco Nori
http://arxiv.org/abs/2103.12863v1
• [cs.RO]A Portable, Self-Contained Neuroprosthetic Hand with Deep Learning-Based Finger Control
Anh Tuan Nguyen, Markus W. Drealan, Diu Khue Luu, Ming Jiang, Jian Xu, Jonathan Cheng, Qi Zhao, Edward W. Keefer, Zhi Yang
http://arxiv.org/abs/2103.13452v1
• [cs.RO]A Semidefinite Optimization-based Branch-and-Bound Algorithm for Several Reactive Optimal Power Flow Problems
Julie Sliwak, Miguel Anjos, Lucas Létocart, Emiliano Traversi
http://arxiv.org/abs/2103.13648v1
• [cs.RO]Applications of UWB Networks and Positioning to Autonomous Robots and Industrial Systems
Xianjia Yu, Qingqing Li, Jorge Peña Queralta, Tomi Westerlund
http://arxiv.org/abs/2103.13488v1
• [cs.RO]Bayesian Disturbance Injection: Robust Imitation Learning of Flexible Policies
Hanbit Oh, Hikaru Sasaki, Brendan Michael, Takamitsu Matsubara
http://arxiv.org/abs/2103.13623v1
• [cs.RO]Collision-Free MPC for Legged Robots in Static and Dynamic Scenes
Magnus Gaertner, Marko Bjelonic, Farbod Farshidian, Marco Hutter
http://arxiv.org/abs/2103.13987v1
• [cs.RO]Computationally-Efficient Roadmap-based Inspection Planning via Incremental Lazy Search
Mengyu Fu, Oren Salzman, Ron Alterovitz
http://arxiv.org/abs/2103.13573v1
• [cs.RO]Error Identification and Recovery in Robotic Snap Assembly
Yusuke Hayami, Weiwei Wan, Keisuke Koyama, Peihao Shi, Juan Rojas, Kensuke Harada
http://arxiv.org/abs/2103.13532v1
• [cs.RO]Estimation of Closest In-Path Vehicle (CIPV) by Low-Channel LiDAR and Camera Sensor Fusion for Autonomous Vehicle
Hyunjin Bae, Gu Lee, Jaeseung Yang, Gwanjun Shin, Yongseob Lim, Gyeungho Choi
http://arxiv.org/abs/2103.13952v1
• [cs.RO]Evaluation of Sampling-Based Optimizing Planners for Outdoor Robot Navigation
Fetullah Atas, Lars Grimstad, Grzegorz Cielniak
http://arxiv.org/abs/2103.13666v1
• [cs.RO]I Know What You Would Like to Drink: Benefits and Detriments of Sharing Personal Info with a Bartender Robot
Alessandra Rossi, Vito Giura, Carmine Di Leva, Silvia Rossi
http://arxiv.org/abs/2103.13337v2
• [cs.RO]Mining Energy-Related Practices in Robotics Software
Michel Albonico, Ivano Malavolta, Gustavo Pinto, Emitza Guzman, Katerina Chinnappan, Patricia Lago
http://arxiv.org/abs/2103.13762v1
• [cs.RO]Model Predictive Actor-Critic: Accelerating Robot Skill Acquisition with Deep Reinforcement Learning
Andrew S. Morgan, Daljeet Nandha, Georgia Chalvatzaki, Carlo D’Eramo, Aaron M. Dollar, Jan Peters
http://arxiv.org/abs/2103.13842v1
• [cs.RO]Multi Sensor Fusion for Navigation and Mapping in Autonomous Vehicles: Accurate Localization in Urban Environments
Li Qingqing, Jorge Peña Queralta, Tuan Nguyen Gia, Zhuo Zou, Tomi Westerlund
http://arxiv.org/abs/2103.13719v1
• [cs.RO]Multi-view Fusion for Multi-level Robotic Scene Understanding
Yunzhi Lin, Jonathan Tremblay, Stephen Tyree, Patricio A. Vela, Stan Birchfield
http://arxiv.org/abs/2103.13539v1
• [cs.RO]Pole-like Objects Mapping and Long-Term Robot Localization in Dynamic Urban Scenarios
Zhihao Wang, Silin Li, Haoyao Chen, Yunhui Liu
http://arxiv.org/abs/2103.13224v2
• [cs.RO]Self-Imitation Learning by Planning
Sha Luo, Hamidreza Kasaei, Lambert Schomaker
http://arxiv.org/abs/2103.13834v1
• [cs.RO]Under Pressure: Learning to Detect Slip with Barometric Tactile Sensors
Abhinav Grover, Christopher Grebe, Philippe Nadeau, Jonathan Kelly
http://arxiv.org/abs/2103.13460v1
• [cs.SD]Blind Speech Separation and Dereverberation using Neural Beamforming
Lukas Pfeifenberger, Franz Pernkopf
http://arxiv.org/abs/2103.13443v1
• [cs.SD]SubSpectral Normalization for Neural Audio Data Processing
Simyung Chang, Hyoungwoo Park, Janghoon Cho, Hyunsin Park, Sungrack Yun, Kyuwoong Hwang
http://arxiv.org/abs/2103.13620v1
• [cs.SE]Developing Apps for Researching the COVID-19 Pandemic with the TrackYourHealth Platform
Carsten Vogel, Rüdiger Pryss, Johannes Schobel, Winfried Schlee, Felix Beierle
http://arxiv.org/abs/2103.13954v1
• [eess.AS]EfficientTDNN: Efficient Architecture Search for Speaker Recognition in the Wild
Rui Wang, Zhihua Wei, Shouling Ji, Zhen Hong
http://arxiv.org/abs/2103.13581v1
• [eess.IV]3D Reasoning for Unsupervised Anomaly Detection in Pediatric WbMRI
Alex Chang, Vinith Suriyakumar, Abhishek Moturu, James Tu, Nipaporn Tewattanarat, Sayali Joshi, Andrea Doria, Anna Goldenberg
http://arxiv.org/abs/2103.13497v1
• [eess.IV]Artificial Intelligence in Tumor Subregion Analysis Based on Medical Imaging: A Review
Mingquan Lin, Jacob Wynne, Yang Lei, Tonghe Wang, Walter J. Curran, Tian Liu, Xiaofeng Yang
http://arxiv.org/abs/2103.13588v1
• [eess.IV]Closing the Loop: Joint Rain Generation and Removal via Disentangled Image Translation
Yuntong Ye, Yi Chang, Hanyu Zhou, Luxin Yan
http://arxiv.org/abs/2103.13660v1
• [eess.IV]Contextual Information Enhanced Convolutional Neural Networks for Retinal Vessel Segmentation in Color Fundus Images
Muyi Sun, Guanhong Zhang
http://arxiv.org/abs/2103.13622v1
• [eess.IV]Deep Learning with robustness to missing data: A novel approach to the detection of COVID-19
Erdi Çallı, Keelin Murphy, Steef Kurstjens, Tijs Samson, Robert Herpers, Henk Smits, Matthieu Rutten, Bram van Ginneken
http://arxiv.org/abs/2103.13833v1
• [eess.IV]Designing a Practical Degradation Model for Deep Blind Image Super-Resolution
Kai Zhang, Jingyun Liang, Luc Van Gool, Radu Timofte
http://arxiv.org/abs/2103.14006v1
• [eess.IV]Entropy Minimizing Matrix Factorization
Mulin Chen, Xuelong Li
http://arxiv.org/abs/2103.13487v1
• [eess.IV]Explainability Guided Multi-Site COVID-19 CT Classification
Ameen Ali, Tal Shaharabany, Lior Wolf
http://arxiv.org/abs/2103.13677v1
• [eess.IV]Feature Weighted Non-negative Matrix Factorization
Mulin Chen, Maoguo Gong, Xuelong Li
http://arxiv.org/abs/2103.13491v1
• [eess.IV]Task-Oriented Low-Dose CT Image Denoising
Jiajin Zhang, Hanqing Chao, Xuanang Xu, Chuang Niu, Ge Wang, Pingkun Yan
http://arxiv.org/abs/2103.13557v1
• [eess.IV]Zero-shot super-resolution with a physically-motivated downsampling kernel for endomicroscopy
Agnieszka Barbara Szczotka, Dzhoshkun Ismail Shakir, Matthew J. Clarkson, Stephen P. Pereira, Tom Vercauteren
http://arxiv.org/abs/2103.14015v1
• [eess.SP]Adversarial Attacks on Deep Learning Based mmWave Beam Prediction in 5G and Beyond
Brian Kim, Yalin E. Sagduyu, Tugba Erpek, Sennur Ulukus
http://arxiv.org/abs/2103.13989v1
• [eess.SY]Actuator Fault-Tolerant Vehicle Motion Control: A Survey
Torben Stolte
http://arxiv.org/abs/2103.13671v1
• [eess.SY]Experimental Validation of Linear and Nonlinear MPC on an Articulated Unmanned Ground Vehicle
Erkan Kayacan, Wouter Saeys, Herman Ramon, Calin Belta, Joshua M. Peschel
http://arxiv.org/abs/2103.13800v1
• [eess.SY]Sample-efficient Plasma Spray Process Configuration with Constrained Bayesian Optimization
Xavier Guidetti, Alisa Rupenyan, Lutz Fassl, Majid Nabavi, John Lygeros
http://arxiv.org/abs/2103.13881v1
• [math.NA]Analysis of Truncated Orthogonal Iteration for Sparse Eigenvector Problems
Hexuan Liu, Aleksandr Aravkin
http://arxiv.org/abs/2103.13523v1
• [math.NA]Model Order Reduction based on Runge-Kutta Neural Network
Qinyu Zhuang, Juan Manuel Lorenzi, Hans-Joachim Bungartz, Dirk Hartmann
http://arxiv.org/abs/2103.13805v1
• [math.OC]Anonymous Tolling for Traffic Networks with Mixed Autonomy
Daniel A. Lazar, Ramtin Pedarsani
http://arxiv.org/abs/2103.13553v1
• [math.OC]Compressed Gradient Tracking for Decentralized Optimization with Linear Convergence
Zhuorui Li, Yiwei Liao, Kun Huang, Shi Pu
http://arxiv.org/abs/2103.13748v1
• [math.OC]On the Convexity of Discrete Time Covariance Steering in Stochastic Linear Systems with Wasserstein Terminal Cost
Isin M. Balci, Abhishek Halder, Efstathios Bakolas
http://arxiv.org/abs/2103.13579v1
• [math.OC]Regularization by Denoising Sub-sampled Newton Method for Spectral CT Multi-Material Decomposition
Alessandro Perelli, Martin S. Andersen
http://arxiv.org/abs/2103.13909v1
• [math.PR]De Finetti-Style Results for Wishart Matrices: Combinatorial Structure and Phase Transitions
Matthew Brennan, Guy Bresler, Brice Huang
http://arxiv.org/abs/2103.14011v1
• [math.ST]Biwhitening Reveals the Rank of a Count Matrix
Boris Landa, Thomas T. C. K. Zhang, Yuval Kluger
http://arxiv.org/abs/2103.13840v1
• [math.ST]Conditions and Assumptions for Constraint-based Causal Structure Learning
Kayvan Sadeghi, Terry Soo
http://arxiv.org/abs/2103.13521v1
• [math.ST]Logarithmic law of large random correlation matrix
Nestor Parolya, Johannes Heiny, Dorota Kurowicka
http://arxiv.org/abs/2103.13900v1
• [physics.app-ph]Machine Learning-based Automatic Graphene Detection with Color Correction for Optical Microscope Images
Hui-Ying Siao, Siyu Qi, Zhi Ding, Chia-Yu Lin, Yu-Chiang Hsieh, Tse-Ming Chen
http://arxiv.org/abs/2103.13495v1
• [physics.data-an]Mixture Density Network Estimation of Continuous Variable Maximum Likelihood Using Discrete Training Samples
Charles Burton, Spencer Stubbs, Peter Onyisi
http://arxiv.org/abs/2103.13416v1
• [physics.soc-ph]Quantifying the efficacy of childcare services on women employment
Jing-Yi Liao, Ying Kong, Tao Zhou
http://arxiv.org/abs/2103.13570v1
• [quant-ph]Learning Temporal Quantum Tomography
Quoc Hoan Tran, Kohei Nakajima
http://arxiv.org/abs/2103.13973v1
• [stat.AP]Investigating the Relationship Between Air Quality and COVID-19 Transmission
Laura Albrecht, Paulina Czarnecki, Bennet Sakelaris
http://arxiv.org/abs/2103.13494v1
• [stat.AP]Social and material vulnerability in the face of seismic hazard: an analysis of the Italian case
Oleksandr Didkovskyi, Giovanni Azzone, Alessandra Menafoglio, Piercesare Secchi
http://arxiv.org/abs/2103.13228v2
• [stat.AP]The Ci3+3 Design for Dual-Agent Combination Dose-Finding Clinical Trials
Shijie Yuan, Tianjian Zhou, Yawen Lin, Yuan Ji
http://arxiv.org/abs/2103.13693v1
• [stat.ME]A scalable hierarchical lasso for gene-environment interactions
Natalia Zemlianskaia, W. James Gauderman, Juan Pablo Lewinger
http://arxiv.org/abs/2103.13510v1
• [stat.ME]An Efficient Method for Computing Expected Value of Sample Information for Survival Data from an Ongoing Trial
Mathyn Vervaart, Mark Strong, Karl P. Claxton, Nicky J. Welton, Torbjørn Wisløff, Eline Aas
http://arxiv.org/abs/2103.13238v2
• [stat.ME]Maximum pairwise-rank-likelihood-based inference for the semiparametric transformation model
Tao Yu, Pengfei Li, Baojiang Chen, Ao Yuan, Jing Qin
http://arxiv.org/abs/2103.13435v1
• [stat.ME]Statistical Integration of Heterogeneous Data with PO2PLS
Said el Bouhaddani, Hae-Won Uh, Geurt Jongbloed, Jeanine Houwing-Duistermaat
http://arxiv.org/abs/2103.13490v1
• [stat.ME]Testing for threshold effects in the TARMA framework
Greta Goracci, Simone Giannerini, Kung-Sik Chan, Howell Tong
http://arxiv.org/abs/2103.13977v1
• [stat.ML]Asymptotic Freeness of Layerwise Jacobians Caused by Invariance of Multilayer Perceptron: The Haar Orthogonal Case
Benoit Collins, Tomohiro Hayase
http://arxiv.org/abs/2103.13466v1
• [stat.ML]Causal Inference Under Unmeasured Confounding With Negative Controls: A Minimax Learning Approach
Nathan Kallus, Xiaojie Mao, Masatoshi Uehara
http://arxiv.org/abs/2103.14029v1
• [stat.ML]Data Generation in Low Sample Size Setting Using Manifold Sampling and a Geometry-Aware VAE
Clément Chadebec, Stéphanie Allassonnière
http://arxiv.org/abs/2103.13751v1
• [stat.ML]Interpretable Approximation of High-Dimensional Data
Daniel Potts, Michael Schmischke
http://arxiv.org/abs/2103.13787v1
• [stat.ML]Multinomial Logit Contextual Bandits: Provable Optimality and Practicality
Min-hwan Oh, Garud Iyengar
http://arxiv.org/abs/2103.13929v1
• [stat.ML]Prediction in the presence of response-dependent missing labels
Hyebin Song, Garvesh Raskutti, Rebecca Willett
http://arxiv.org/abs/2103.13555v1
• [stat.ML]The Shapley Value of coalition of variables provides better explanations
Salim I. Amoukou, Nicolas J-B. Brunel, Tangi Salaün
http://arxiv.org/abs/2103.13342v2
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