cs.AI - 人工智能

    cs.AR - 硬件体系结构 cs.CL - 计算与语言 cs.CR - 加密与安全 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DB - 数据库 cs.DC - 分布式、并行与集群计算 cs.DS - 数据结构与算法 cs.GR - 计算机图形学 cs.GT - 计算机科学与博弈论 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.NE - 神经与进化计算 cs.NI - 网络和互联网体系结构 cs.PF - 计算性能 cs.RO - 机器人学 cs.SD - 声音处理 cs.SI - 社交网络与信息网络 econ.EM - 计量经济学 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SP - 信号处理 eess.SY - 系统和控制 math.NT - 数论 math.OC - 优化与控制 math.ST - 统计理论 physics.soc-ph - 物理学与社会 stat.AP - 应用统计 stat.CO - 统计计算 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [cs.AI]AI in Smart Cities: Challenges and approaches to enable road vehicle automation and smart traffic control
    • [cs.AI]Leaving Goals on the Pitch: Evaluating Decision Making in Soccer
    • [cs.AI]On the Power of Refined Skat Selection
    • [cs.AI]The Duo of Artificial Intelligence and Big Data for Industry 4.0: Review of Applications, Techniques, Challenges, and Future Research Directions
    • [cs.AR]A matrix math facility for Power ISA(TM) processors
    • [cs.CL]A Question-answering Based Framework for Relation Extraction Validation
    • [cs.CL]Analysis of Twitter Users’ Lifestyle Choices using Joint Embedding Model
    • [cs.CL]Better Neural Machine Translation by Extracting Linguistic Information from BERT
    • [cs.CL]BreakingBERT@IITK at SemEval-2021 Task 9 : Statement Verification and Evidence Finding with Tables
    • [cs.CL]Combining Pre-trained Word Embeddings and Linguistic Features for Sequential Metaphor Identification
    • [cs.CL]Efficient transfer learning for NLP with ELECTRA
    • [cs.CL]Enhancing Scientific Papers Summarization with Citation Graph
    • [cs.CL]GrammarTagger: A Multilingual, Minimally-Supervised Grammar Profiler for Language Education
    • [cs.CL]How to Write a Bias Statement: Recommendations for Submissions to the Workshop on Gender Bias in NLP
    • [cs.CL]HumAID: Human-Annotated Disaster Incidents Data from Twitter
    • [cs.CL]Interpreting A Pre-trained Model Is A Key For Model Architecture Optimization: A Case Study On Wav2Vec 2.0
    • [cs.CL]Librispeech Transducer Model with Internal Language Model Prior Correction
    • [cs.CL]SERRANT: a syntactic classifier for English Grammatical Error Types
    • [cs.CL]VERB: Visualizing and Interpreting Bias Mitigation Techniques for Word Representations
    • [cs.CR]Plinius: Secure and Persistent Machine Learning Model Training
    • [cs.CR]TenSEAL: A Library for Encrypted Tensor Operations Using Homomorphic Encryption
    • [cs.CV]A New Dimension in Testimony: Relighting Video with Reflectance Field Exemplars
    • [cs.CV]A Unified Model for Fingerprint Authentication and Presentation Attack Detection
    • [cs.CV]A fully automated end-to-end process for fluorescence microscopy images of yeast cells: From segmentation to detection and classification
    • [cs.CV]ACM-Net: Action Context Modeling Network for Weakly-Supervised Temporal Action Localization
    • [cs.CV]ARC: A Vision-based Automatic Retail Checkout System
    • [cs.CV]Active learning using weakly supervised signals for quality inspection
    • [cs.CV]Adaptive Clustering of Robust Semantic Representations for Adversarial Image Purification
    • [cs.CV]Affordance Transfer Learning for Human-Object Interaction Detection
    • [cs.CV]Analysis Towards Classification of Infection and Ischaemia of Diabetic Foot Ulcers
    • [cs.CV]Artificial and beneficial — Exploiting artificial images for aerial vehicle detection
    • [cs.CV]Beyond Question-Based Biases: Assessing Multimodal Shortcut Learning in Visual Question Answering
    • [cs.CV]C2CL: Contact to Contactless Fingerprint Matching
    • [cs.CV]DG-Font: Deformable Generative Networks for Unsupervised Font Generation
    • [cs.CV]Deep Implicit Statistical Shape Models for 3D Medical Image Delineation
    • [cs.CV]Deep Semi-supervised Metric Learning with Dual Alignment for Cervical Cancer Cell Detection
    • [cs.CV]Deep Transformers for Fast Small Intestine Grounding in Capsule Endoscope Video
    • [cs.CV]Differentiable Patch Selection for Image Recognition
    • [cs.CV]Distilling and Transferring Knowledge via cGAN-generated Samples for Image Classification and Regression
    • [cs.CV]Document Layout Analysis via Dynamic Residual Feature Fusion
    • [cs.CV]Everything’s Talkin’: Pareidolia Face Reenactment
    • [cs.CV]Facial Attribute Transformers for Precise and Robust Makeup Transfer
    • [cs.CV]Farewell to Mutual Information: Variational Distillation for Cross-Modal Person Re-Identification
    • [cs.CV]FedFace: Collaborative Learning of Face Recognition Model
    • [cs.CV]Few-Shot Incremental Learning with Continually Evolved Classifiers
    • [cs.CV]Graph-based Normalizing Flow for Human Motion Generation and Reconstruction
    • [cs.CV]HIH: Towards More Accurate Face Alignment via Heatmap in Heatmap
    • [cs.CV]Hand-Object Contact Consistency Reasoning for Human Grasps Generation
    • [cs.CV]Heuristics2Annotate: Efficient Annotation of Large-Scale Marathon Dataset For Bounding Box Regression
    • [cs.CV]Hypothesis-driven Stream Learning with Augmented Memory
    • [cs.CV]Image Composition Assessment with Saliency-augmented Multi-pattern Pooling
    • [cs.CV]IndoFashion : Apparel Classification for Indian Ethnic Clothes
    • [cs.CV]InverseForm: A Loss Function for Structured Boundary-Aware Segmentation
    • [cs.CV]LI-Net: Large-Pose Identity-Preserving Face Reenactment Network
    • [cs.CV]LIFE: Lighting Invariant Flow Estimation
    • [cs.CV]Learning Residue-Aware Correlation Filters and Refining Scale Estimates with the GrabCut for Real-Time UAV Tracking
    • [cs.CV]Learning Triadic Belief Dynamics in Nonverbal Communication from Videos
    • [cs.CV]Lidar-Monocular Surface Reconstruction Using Line Segments
    • [cs.CV]Localization of Autonomous Vehicles: Proof of Concept for A Computer Vision Approach
    • [cs.CV]MPN: Multimodal Parallel Network for Audio-Visual Event Localization
    • [cs.CV]MultiScene: A Large-scale Dataset and Benchmark for Multi-scene Recognition in Single Aerial Images
    • [cs.CV]Multimodal Continuous Visual Attention Mechanisms
    • [cs.CV]Multimodal Object Detection via Bayesian Fusion
    • [cs.CV]Neural Articulated Radiance Field
    • [cs.CV]OXnet: Omni-supervised Thoracic Disease Detection from Chest X-rays
    • [cs.CV]On Self-Contact and Human Pose
    • [cs.CV]On the Applicability of Synthetic Data for Face Recognition
    • [cs.CV]OpenGAN: Open-Set Recognition via Open Data Generation
    • [cs.CV]Pretrained equivariant features improve unsupervised landmark discovery
    • [cs.CV]RTIC: Residual Learning for Text and Image Composition using Graph Convolutional Network
    • [cs.CV]SCANimate: Weakly Supervised Learning of Skinned Clothed Avatar Networks
    • [cs.CV]SIMPLE: SIngle-network with Mimicking and Point Learning for Bottom-up Human Pose Estimation
    • [cs.CV]Seeing Out of tHe bOx: End-to-End Pre-training for Vision-Language Representation Learning
    • [cs.CV]Self-Supervised Learning for Gastritis Detection with Gastric X-Ray Images
    • [cs.CV]Self-Supervised Learning for Semi-Supervised Temporal Action Proposal
    • [cs.CV]Self-supervised Learning of Depth Inference for Multi-view Stereo
    • [cs.CV]Single Source One Shot Reenactment using Weighted motion From Paired Feature Points
    • [cs.CV]Streaming Self-Training via Domain-Agnostic Unlabeled Images
    • [cs.CV]Synthetic training data generation for deep learning based quality inspection
    • [cs.CV]The SARAS Endoscopic Surgeon Action Detection (ESAD) dataset: Challenges and methods
    • [cs.CV]The Use of Video Captioning for Fostering Physical Activity
    • [cs.CV]The art of defense: letting networks fool the attacker
    • [cs.CV]Towards measuring fairness in AI: the Casual Conversations dataset
    • [cs.CV]V2F-Net: Explicit Decomposition of Occluded Pedestrian Detection
    • [cs.CV]VGF-Net: Visual-Geometric Fusion Learning for Simultaneous Drone Navigation and Height Mapping
    • [cs.CV]Visual Vibration Tomography: Estimating Interior Material Properties from Monocular Video
    • [cs.CV]Warp Consistency for Unsupervised Learning of Dense Correspondences
    • [cs.CV][RE] CNN-generated images are surprisingly easy to spot…for now
    • [cs.CY]Growing the Simulation Ecosystem
    • [cs.CY]Imagine All the People: Citizen Science, Artificial Intelligence, and Computational Research
    • [cs.CY]Multiscale Governance
    • [cs.DB]Efficient and Accurate In-Database Machine Learning with SQL Code Generation in Python
    • [cs.DC]Contingency Analysis Based on Partitioned and Parallel Holomorphic Embedding
    • [cs.DC]Decentralized Cross-Network Identity Management for Blockchain Interoperation
    • [cs.DC]Optimal CPU Scheduling in Data Centers via a Finite-Time Distributed Quantized Coordination Mechanism
    • [cs.DC]Polynomial Anonymous Dynamic Distributed Computing without a Unique Leader
    • [cs.DC]Self-stabilizing Multivalued Consensus in Asynchronous Crash-prone Systems
    • [cs.DC]Serverless Predictions: 2021-2030
    • [cs.DS]The Power of Subsampling in Submodular Maximization
    • [cs.GR]NeuMIP: Multi-Resolution Neural Materials
    • [cs.GT]Lower Bounds Implementing Mediators in Asynchronous Systems
    • [cs.IR]Multimodal Entity Linking for Tweets
    • [cs.IT]3D Beam Training in Terahertz Communication: A Quadruple-UPA Architecture
    • [cs.IT]DRL-Assisted Resource Allocation for NOMA-MEC Offloading with Hybrid SIC
    • [cs.IT]Energy-Efficient UAV Multicasting with Simultaneous FSO Backhaul and Power Transfer
    • [cs.IT]Hierarchical compressed sensing
    • [cs.IT]Intelligent Reflecting Surfaces Assisted Terahertz Communications toward 6G
    • [cs.IT]Irregular-Mapped Protograph LDPC-Coded Modulation: A Bandwidth-Efficient Solution for 今日学术视野(2021.4.9) - 图1G Networks with Massive Data-Storage Requirement
    • [cs.IT]LiFi Through Intelligent Reflecting Surfaces: A New Frontier for 6G?
    • [cs.IT]Relay-Reconfigurable Intelligent Surface Cooperation for Energy-Efficient Multiuser Systems
    • [cs.IT]Time-Data Tradeoffs in Structured Signals Recovery via Proximal-Gradient Homotopy Method
    • [cs.LG]Adversarial Robustness Guarantees for Gaussian Processes
    • [cs.LG]Autoencoder-based Representation Learning from Heterogeneous Multivariate Time Series Data of Mechatronic Systems
    • [cs.LG]Bootstrapping Your Own Positive Sample: Contrastive Learning With Electronic Health Record Data
    • [cs.LG]Communication-Efficient Agnostic Federated Averaging
    • [cs.LG]Conditional physics informed neural networks
    • [cs.LG]Contrastive Explanations for Explaining Model Adaptations
    • [cs.LG]Creativity and Machine Learning: a Survey
    • [cs.LG]Deep Interpretable Models of Theory of Mind For Human-Agent Teaming
    • [cs.LG]Deep Learning and Traffic Classification: Lessons learned from a commercial-grade dataset with hundreds of encrypted and zero-day applications
    • [cs.LG]Distantly Supervised Transformers For E-Commerce Product QA
    • [cs.LG]Distributional Robustness Loss for Long-tail Learning
    • [cs.LG]DyGCN: Dynamic Graph Embedding with Graph Convolutional Network
    • [cs.LG]Ecole: A Library for Learning Inside MILP Solvers
    • [cs.LG]Evaluation of Time Series Forecasting Models for Estimation of PM2.5 Levels in Air
    • [cs.LG]Finite-Sample Analysis for Two Time-scale Non-linear TDC with General Smooth Function Approximation
    • [cs.LG]Improving Robustness of Deep Reinforcement Learning Agents: Environment Attacks based on Critic Networks
    • [cs.LG]Learned transform compression with optimized entropy encoding
    • [cs.LG]Level-Set Curvature Neural Networks: A Hybrid Approach
    • [cs.LG]Low-Regret Active learning
    • [cs.LG]Machine Learning-Driven Virtual Bidding with Electricity Market Efficiency Analysis
    • [cs.LG]Modern Hopfield Networks for Few- and Zero-Shot Reaction Prediction
    • [cs.LG]On the Critical Role of Conventions in Adaptive Human-AI Collaboration
    • [cs.LG]On-device Federated Learning with Flower
    • [cs.LG]Optimizing Memory Efficiency of Graph NeuralNetworks on Edge Computing Platforms
    • [cs.LG]Partially-Connected Differentiable Architecture Search for Deepfake and Spoofing Detection
    • [cs.LG]PlasticineLab: A Soft-Body Manipulation Benchmark with Differentiable Physics
    • [cs.LG]Proof of the Theory-to-Practice Gap in Deep Learning via Sampling Complexity bounds for Neural Network Approximation Spaces
    • [cs.LG]Quasi-Newton Quasi-Monte Carlo for variational Bayes
    • [cs.LG]Recognizing and Verifying Mathematical Equations using Multiplicative Differential Neural Units
    • [cs.LG]Regularizing Generative Adversarial Networks under Limited Data
    • [cs.LG]Reinforcement Learning with a Disentangled Universal Value Function for Item Recommendation
    • [cs.LG]Representative & Fair Synthetic Data
    • [cs.LG]Risk-Conditioned Distributional Soft Actor-Critic for Risk-Sensitive Navigation
    • [cs.LG]Safe-by-Repair: A Convex Optimization Approach for Repairing Unsafe Two-Level Lattice Neural Network Controllers
    • [cs.LG]Scaling Scaling Laws with Board Games
    • [cs.LG]Sparse Oblique Decision Trees: A Tool to Understand and Manipulate Neural Net Features
    • [cs.LG]Spectral Analysis of the Neural Tangent Kernel for Deep Residual Networks
    • [cs.LG]TSception: Capturing Temporal Dynamics and Spatial Asymmetry from EEG for Emotion Recognition
    • [cs.LG]The Emergence of Abstract and Episodic Neurons in Episodic Meta-RL
    • [cs.LG]The Multi-Agent Behavior Dataset: Mouse Dyadic Social Interactions
    • [cs.LG]Theoretically Improving Graph Neural Networks via Anonymous Walk Graph Kernels
    • [cs.LG]Trajectory Prediction with Latent Belief Energy-Based Model
    • [cs.LG]Universal Adversarial Training with Class-Wise Perturbations
    • [cs.NE]Co-optimising Robot Morphology and Controller in a Simulated Open-Ended Environment
    • [cs.NI]A Coverage-Aware Distributed k-Connectivity Maintenance Algorithm for Arbitrarily Large k in Mobile Sensor Networks
    • [cs.PF]A Preliminary Proposal for an Analytical Model for Evaluating the Impact on Performance of Data Access Patterns in Transaction Execution
    • [cs.RO]A Quadratic Programming Approach to Manipulation in Real-Time Using Modular Robots
    • [cs.RO]An almost globally convergent observer for visual SLAM without persistent excitation
    • [cs.RO]Demonstrating Cloth Folding to Robots: Design and Evaluation of a 2D and a 3D User Interface
    • [cs.RO]Few-Shot Meta-Learning on Point Cloud for Semantic Segmentation
    • [cs.RO]Human-Vehicle Cooperation on Prediction-Level: Enhancing Automated Driving with Human Foresight
    • [cs.RO]Human-robot collaborative object transfer using human motion prediction based on Cartesian pose Dynamic Movement Primitives
    • [cs.RO]Optimal Control for Structurally Sparse Systems using Graphical Inference
    • [cs.RO]Out-of-Distribution Robustness with Deep Recursive Filters
    • [cs.RO]Predictive 3D Sonar Mapping of Underwater Environments via Object-specific Bayesian Inference
    • [cs.RO]Robot Development and Path Planning for Indoor Ultraviolet Light Disinfection
    • [cs.RO]Synthesized Trust Learning from Limited Human Feedback for Human-Load-Reduced Multi-Robot Deployments
    • [cs.RO]The Value of Planning for Infinite-Horizon Model Predictive Control
    • [cs.RO]Unsupervised Visual Attention and Invariance for Reinforcement Learning
    • [cs.SD]AST: Audio Spectrogram Transformer
    • [cs.SD]Learning robust speech representation with an articulatory-regularized variational autoencoder
    • [cs.SI]Semi-Supervised Classification of Social Media Posts: Identifying Sex-Industry Posts to Enable Better Support for Those Experiencing Sex-Trafficking
    • [econ.EM]The Properly Use of Google Trends in Forecasting Models
    • [eess.AS]Adapting Speaker Embeddings for Speaker Diarisation
    • [eess.AS]Capturing Multi-Resolution Context by Dilated Self-Attention
    • [eess.AS]Exploring Targeted Universal Adversarial Perturbations to End-to-end ASR Models
    • [eess.AS]FSR: Accelerating the Inference Process of Transducer-Based Models by Applying Fast-Skip Regularization
    • [eess.AS]Learning to Rank Microphones for Distant Speech Recognition
    • [eess.AS]Relaxing the Conditional Independence Assumption of CTC-based ASR by Conditioning on Intermediate Predictions
    • [eess.AS]Siamese Neural Network with Joint Bayesian Model Structure for Speaker Verification
    • [eess.AS]Speaker Diarization using Two-pass Leave-One-Out Gaussian PLDA Clustering of DNN Embeddings
    • [eess.AS]The AS-NU System for the M2VoC Challenge
    • [eess.AS]Three-class Overlapped Speech Detection using a Convolutional Recurrent Neural Network
    • [eess.AS]Utilizing Self-supervised Representations for MOS Prediction
    • [eess.IV]CNN Based Segmentation of Infarcted Regions in Acute Cerebral Stroke Patients From Computed Tomography Perfusion Imaging
    • [eess.IV]Dense Dilated UNet: Deep Learning for 3D Photoacoustic Tomography Image Reconstruction
    • [eess.IV]Dual-Consistency Semi-Supervised Learning with Uncertainty Quantification for COVID-19 Lesion Segmentation from CT Images
    • [eess.IV]First arrival picking using U-net with Lovasz loss and nearest point picking method
    • [eess.IV]Information Bottleneck Attribution for Visual Explanations of Diagnosis and Prognosis
    • [eess.IV]PyNET-CA: Enhanced PyNET with Channel Attention for End-to-End Mobile Image Signal Processing
    • [eess.IV]Soft-Label Anonymous Gastric X-ray Image Distillation
    • [eess.IV]Speckles-Training-Based Denoising Convolutional Neural Network Ghost Imaging
    • [eess.IV]TB-Net: A Tailored, Self-Attention Deep Convolutional Neural Network Design for Detection of Tuberculosis Cases from Chest X-ray Images
    • [eess.IV]Time-Multiplexed Coded Aperture Imaging: Learned Coded Aperture and Pixel Exposures for Compressive Imaging Systems
    • [eess.IV]Universal and Flexible Optical Aberration Correction Using Deep-Prior Based Deconvolution
    • [eess.SP]Empowering Prosumer Communities in Smart Grid with Wireless Communications and Federated Edge Learning
    • [eess.SY]Approximate Robust NMPC using Reinforcement Learning
    • [eess.SY]Efficient state and parameter estimation for high-dimensional nonlinear system identification with application to MEG brain network modeling
    • [eess.SY]GEM: Group Enhanced Model for Learning Dynamical Control Systems
    • [eess.SY]Neural Network-based Control for Multi-Agent Systems from Spatio-Temporal Specifications
    • [math.NT]Valued rank-metric codes
    • [math.OC]An Iteratively Reweighted Method for Sparse Optimization on Nonconvex 今日学术视野(2021.4.9) - 图2 Ball
    • [math.OC]Optimal Algorithms for Differentially Private Stochastic Monotone Variational Inequalities and Saddle-Point Problems
    • [math.OC]Temporal Parallelisation of Dynamic Programming and Linear Quadratic Control
    • [math.ST]Community Detection with Contextual Multilayer Networks
    • [math.ST]Concentration Inequalities for Two-Sample Rank Processes with Application to Bipartite Ranking
    • [math.ST]Fast Convergence on Perfect Classification for Functional Data
    • [math.ST]Minimax Estimation of Linear Functions of Eigenvectors in the Face of Small Eigen-Gaps
    • [math.ST]Near-optimal estimation of the unseen under regularly varying tail populations
    • [math.ST]Online change-point detection for a transient change
    • [math.ST]The quantification of Simpsons paradox and other contributions to contingency table theory
    • [physics.soc-ph]Quantifying incentive (in)compatibility: a case study from sports
    • [stat.AP]Modeling a sequence of multinomial data with randomly varying probabilities
    • [stat.CO]Discussion of “A Gibbs sampler for a class of random convex polytopes”
    • [stat.ME]Co-clustering of time-dependent data via Shape Invariant Model
    • [stat.ME]Data-fusion using factor analysis and low-rank matrix completion
    • [stat.ME]Dynamic Principal Subspaces with Sparsity in High Dimensions
    • [stat.ME]Graphical models for circular variables
    • [stat.ME]Inference for partially observed Riemannian Ornstein—Uhlenbeck diffusions of covariance matrices
    • [stat.ME]Random graphs with node and block effects: models, goodness-of-fit tests, and applications to biological networks
    • [stat.ME]Variable selection with missing data in both covariates and outcomes: Imputation and machine learning
    • [stat.ML]DoubleML — An Object-Oriented Implementation of Double Machine Learning in Python
    • [stat.ML]Harmless label noise and informative soft-labels in supervised classification
    • [stat.ML]Hollow-tree Super: a directional and scalable approach for feature importance in boosted tree models
    • [stat.ML]Minimax Kernel Machine Learning for a Class of Doubly Robust Functionals
    • [stat.ML]Online Feature Screening for Data Streams with Concept Drift
    • [stat.ML]Prediction with Missing Data
    • [stat.ML]Robust Semantic Interpretability: Revisiting Concept Activation Vectors
    • [stat.ML]Sparse Partial Least Squares for Coarse Noisy Graph Alignment
    • [stat.ML]Which Neural Network to Choose for Post-Fault Localization, Dynamic State Estimation and Optimal Measurement Placement in Power Systems?

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

    • [cs.AI]AI in Smart Cities: Challenges and approaches to enable road vehicle automation and smart traffic control
    Cristofer Englund, Eren Erdal Aksoy, Fernando Alonso-Fernandez, Martin Daniel Cooney, Sepideh Pashami, Bjorn Astrand
    http://arxiv.org/abs/2104.03150v1

    • [cs.AI]Leaving Goals on the Pitch: Evaluating Decision Making in Soccer
    Maaike Van Roy, Pieter Robberechts, Wen-Chi Yang, Luc De Raedt, Jesse Davis
    http://arxiv.org/abs/2104.03252v1

    • [cs.AI]On the Power of Refined Skat Selection
    Stefan Edelkamp
    http://arxiv.org/abs/2104.02997v1

    • [cs.AI]The Duo of Artificial Intelligence and Big Data for Industry 4.0: Review of Applications, Techniques, Challenges, and Future Research Directions
    Senthil Kumar Jagatheesaperumal, Mohamed Rahouti, Kashif Ahmad, Ala Al-Fuqaha, Mohsen Guizani
    http://arxiv.org/abs/2104.02425v2

    • [cs.AR]A matrix math facility for Power ISA(TM) processors
    José E. Moreira, Kit Barton, Steven Battle, Peter Bergner, Ramon Bertran, Puneeth Bhat, Pedro Caldeira, David Edelsohn, Gordon Fossum, Brad Frey, Nemanja Ivanovic, Chip Kerchner, Vincent Lim, Shakti Kapoor, Tulio Machado Filho, Silvia Melitta Mueller, Brett Olsson, Satish Sadasivam, Baptiste Saleil, Bill Schmidt, Rajalakshmi Srinivasaraghavan, Shricharan Srivatsan, Brian Thompto, Andreas Wagner, Nelson Wu
    http://arxiv.org/abs/2104.03142v1

    • [cs.CL]A Question-answering Based Framework for Relation Extraction Validation
    Jiayang Cheng, Haiyun Jiang, Deqing Yang, Yanghua Xiao
    http://arxiv.org/abs/2104.02934v1

    • [cs.CL]Analysis of Twitter Users’ Lifestyle Choices using Joint Embedding Model
    Tunazzina Islam, Dan Goldwasser
    http://arxiv.org/abs/2104.03189v1

    • [cs.CL]Better Neural Machine Translation by Extracting Linguistic Information from BERT
    Hassan S. Shavarani, Anoop Sarkar
    http://arxiv.org/abs/2104.02831v1

    • [cs.CL]BreakingBERT@IITK at SemEval-2021 Task 9 : Statement Verification and Evidence Finding with Tables
    Aditya Jindal, Ankur Gupta, Jaya Srivastava, Preeti Menghwani, Vijit Malik, Vishesh Kaushik, Ashutosh Modi
    http://arxiv.org/abs/2104.03071v1

    • [cs.CL]Combining Pre-trained Word Embeddings and Linguistic Features for Sequential Metaphor Identification
    Rui Mao, Chenghua Lin, Frank Guerin
    http://arxiv.org/abs/2104.03285v1

    • [cs.CL]Efficient transfer learning for NLP with ELECTRA
    François Mercier
    http://arxiv.org/abs/2104.02756v1

    • [cs.CL]Enhancing Scientific Papers Summarization with Citation Graph
    Chenxin An, Ming Zhong, Yiran Chen, Danqing Wang, Xipeng Qiu, Xuanjing Huang
    http://arxiv.org/abs/2104.03057v1

    • [cs.CL]GrammarTagger: A Multilingual, Minimally-Supervised Grammar Profiler for Language Education
    Masato Hagiwara, Joshua Tanner, Keisuke Sakaguchi
    http://arxiv.org/abs/2104.03190v1

    • [cs.CL]How to Write a Bias Statement: Recommendations for Submissions to the Workshop on Gender Bias in NLP
    Christian Hardmeier, Marta R. Costa-jussà, Kellie Webster, Will Radford, Su Lin Blodgett
    http://arxiv.org/abs/2104.03026v1

    • [cs.CL]HumAID: Human-Annotated Disaster Incidents Data from Twitter
    Firoj Alam, Umair Qazi, Muhammad Imran, Ferda Ofli
    http://arxiv.org/abs/2104.03090v1

    • [cs.CL]Interpreting A Pre-trained Model Is A Key For Model Architecture Optimization: A Case Study On Wav2Vec 2.0
    Liu Chen, Meysam Asgari
    http://arxiv.org/abs/2104.02851v1

    • [cs.CL]Librispeech Transducer Model with Internal Language Model Prior Correction
    Albert Zeyer, André Merboldt, Wilfried Michel, Ralf Schlüter, Hermann Ney
    http://arxiv.org/abs/2104.03006v1

    • [cs.CL]SERRANT: a syntactic classifier for English Grammatical Error Types
    Leshem Choshen, Matanel Oren, Dmitry Nikolaev, Omri Abend
    http://arxiv.org/abs/2104.02310v2

    • [cs.CL]VERB: Visualizing and Interpreting Bias Mitigation Techniques for Word Representations
    Archit Rathore, Sunipa Dev, Jeff M. Phillips, Vivek Srikumar, Yan Zheng, Chin-Chia Michael Yeh, Junpeng Wang, Wei Zhang, Bei Wang
    http://arxiv.org/abs/2104.02797v1

    • [cs.CR]Plinius: Secure and Persistent Machine Learning Model Training
    Peterson Yuhala, Pascal Felber, Valerio Schiavoni, Alain Tchana
    http://arxiv.org/abs/2104.02987v1

    • [cs.CR]TenSEAL: A Library for Encrypted Tensor Operations Using Homomorphic Encryption
    Ayoub Benaissa, Bilal Retiat, Bogdan Cebere, Alaa Eddine Belfedhal
    http://arxiv.org/abs/2104.03152v1

    • [cs.CV]A New Dimension in Testimony: Relighting Video with Reflectance Field Exemplars
    Loc Huynh, Bipin Kishore, Paul Debevec
    http://arxiv.org/abs/2104.02773v1

    • [cs.CV]A Unified Model for Fingerprint Authentication and Presentation Attack Detection
    Additya Popli, Saraansh Tandon, Joshua J. Engelsma, Naoyuki Onoe, Atsushi Okubo, Anoop Namboodiri
    http://arxiv.org/abs/2104.03255v1

    • [cs.CV]A fully automated end-to-end process for fluorescence microscopy images of yeast cells: From segmentation to detection and classification
    Asmaa Haja, Lambert R. B. Schomaker
    http://arxiv.org/abs/2104.02793v1

    • [cs.CV]ACM-Net: Action Context Modeling Network for Weakly-Supervised Temporal Action Localization
    Sanqing Qu, Guang Chen, Zhijun Li, Lijun Zhang, Fan Lu, Alois Knoll
    http://arxiv.org/abs/2104.02967v1

    • [cs.CV]ARC: A Vision-based Automatic Retail Checkout System
    Syed Talha Bukhari, Abdul Wahab Amin, Muhammad Abdullah Naveed, Muhammad Rzi Abbas
    http://arxiv.org/abs/2104.02832v1

    • [cs.CV]Active learning using weakly supervised signals for quality inspection
    Antoine Cordier, Deepan Das, Pierre Gutierrez
    http://arxiv.org/abs/2104.02973v1

    • [cs.CV]Adaptive Clustering of Robust Semantic Representations for Adversarial Image Purification
    Samuel Henrique Silva, Arun Das, Ian Scarff, Peyman Najafirad
    http://arxiv.org/abs/2104.02155v2

    • [cs.CV]Affordance Transfer Learning for Human-Object Interaction Detection
    Zhi Hou, Baosheng Yu, Yu Qiao, Xiaojiang Peng, Dacheng Tao
    http://arxiv.org/abs/2104.02867v1

    • [cs.CV]Analysis Towards Classification of Infection and Ischaemia of Diabetic Foot Ulcers
    Moi Hoon Yap, Bill Cassidy, Joseph M. Pappachan, Claire O’Shea, David Gillespie, Neil Reeves
    http://arxiv.org/abs/2104.03068v1

    • [cs.CV]Artificial and beneficial — Exploiting artificial images for aerial vehicle detection
    Immanuel Weber, Jens Bongartz, Ribana Roscher
    http://arxiv.org/abs/2104.03054v1

    • [cs.CV]Beyond Question-Based Biases: Assessing Multimodal Shortcut Learning in Visual Question Answering
    Corentin Dancette, Remi Cadene, Damien Teney, Matthieu Cord
    http://arxiv.org/abs/2104.03149v1

    • [cs.CV]C2CL: Contact to Contactless Fingerprint Matching
    Steven A. Grosz, Joshua J. Engelsma, Anil K. Jain
    http://arxiv.org/abs/2104.02811v1

    • [cs.CV]DG-Font: Deformable Generative Networks for Unsupervised Font Generation
    Yangchen Xie, Xinyuan Chen, Li Sun, Yue Lu
    http://arxiv.org/abs/2104.03064v1

    • [cs.CV]Deep Implicit Statistical Shape Models for 3D Medical Image Delineation
    Ashwin Raju, Shun Miao, Chi-Tung Cheng, Le Lu, Mei Han, Jing Xiao, Chien-Hung Liao, Junzhou Huang, Adam P. Harrison
    http://arxiv.org/abs/2104.02847v1

    • [cs.CV]Deep Semi-supervised Metric Learning with Dual Alignment for Cervical Cancer Cell Detection
    Zhizhong Chai, Luyang Luo, Huangjing Lin, Hao Chen, Pheng-Ann Heng
    http://arxiv.org/abs/2104.03265v1

    • [cs.CV]Deep Transformers for Fast Small Intestine Grounding in Capsule Endoscope Video
    Xinkai Zhao, Chaowei Fang, Feng Gao, De-Jun Fan, Xutao Lin, Guanbin Li
    http://arxiv.org/abs/2104.02866v1

    • [cs.CV]Differentiable Patch Selection for Image Recognition
    Jean-Baptiste Cordonnier, Aravindh Mahendran, Alexey Dosovitskiy, Dirk Weissenborn, Jakob Uszkoreit, Thomas Unterthiner
    http://arxiv.org/abs/2104.03059v1

    • [cs.CV]Distilling and Transferring Knowledge via cGAN-generated Samples for Image Classification and Regression
    Xin Ding, Z. Jane Wang, Zuheng Xu, Yongwei Wang, William J. Welch
    http://arxiv.org/abs/2104.03164v1

    • [cs.CV]Document Layout Analysis via Dynamic Residual Feature Fusion
    Xingjiao Wu, Ziling Hu, Xiangcheng Du, Jing Yang, Liang He
    http://arxiv.org/abs/2104.02874v1

    • [cs.CV]Everything’s Talkin’: Pareidolia Face Reenactment
    Linsen Song, Wayne Wu, Chaoyou Fu, Chen Qian, Chen Change Loy, Ran He
    http://arxiv.org/abs/2104.03061v1

    • [cs.CV]Facial Attribute Transformers for Precise and Robust Makeup Transfer
    Zhaoyi Wan, Haoran Chen, Jielei Zhang, Wentao Jiang, Cong Yao, Jiebo Luo
    http://arxiv.org/abs/2104.02894v1

    • [cs.CV]Farewell to Mutual Information: Variational Distillation for Cross-Modal Person Re-Identification
    Xudong Tian, Zhizhong Zhang, Shaohui Lin, Yanyun Qu, Yuan Xie, Lizhuang Ma
    http://arxiv.org/abs/2104.02862v1

    • [cs.CV]FedFace: Collaborative Learning of Face Recognition Model
    Divyansh Aggarwal, Jiayu Zhou, Anil K. Jain
    http://arxiv.org/abs/2104.03008v1

    • [cs.CV]Few-Shot Incremental Learning with Continually Evolved Classifiers
    Chi Zhang, Nan Song, Guosheng Lin, Yun Zheng, Pan Pan, Yinghui Xu
    http://arxiv.org/abs/2104.03047v1

    • [cs.CV]Graph-based Normalizing Flow for Human Motion Generation and Reconstruction
    Wenjie Yin, Hang Yin, Danica Kragic, Mårten Björkman
    http://arxiv.org/abs/2104.03020v1

    • [cs.CV]HIH: Towards More Accurate Face Alignment via Heatmap in Heatmap
    Xing Lan, Qinghao Hu, Jian Cheng
    http://arxiv.org/abs/2104.03100v1

    • [cs.CV]Hand-Object Contact Consistency Reasoning for Human Grasps Generation
    Hanwen Jiang, Shaowei Liu, Jiashun Wang, Xiaolong Wang
    http://arxiv.org/abs/2104.03304v1

    • [cs.CV]Heuristics2Annotate: Efficient Annotation of Large-Scale Marathon Dataset For Bounding Box Regression
    Pranjal Singh Rajput, Yeshwanth Napolean, Jan van Gemert
    http://arxiv.org/abs/2104.02749v1

    • [cs.CV]Hypothesis-driven Stream Learning with Augmented Memory
    Mengmi Zhang, Rohil Badkundri, Morgan B. Talbot, Gabriel Kreiman
    http://arxiv.org/abs/2104.02206v2

    • [cs.CV]Image Composition Assessment with Saliency-augmented Multi-pattern Pooling
    Bo Zhang, Li Niu, Liqing Zhang
    http://arxiv.org/abs/2104.03133v1

    • [cs.CV]IndoFashion : Apparel Classification for Indian Ethnic Clothes
    Pranjal Singh Rajput, Shivangi Aneja
    http://arxiv.org/abs/2104.02830v1

    • [cs.CV]InverseForm: A Loss Function for Structured Boundary-Aware Segmentation
    Shubhankar Borse, Ying Wang, Yizhe Zhang, Fatih Porikli
    http://arxiv.org/abs/2104.02745v1

    • [cs.CV]LI-Net: Large-Pose Identity-Preserving Face Reenactment Network
    Jin Liu, Peng Chen, Tao Liang, Zhaoxing Li, Cai Yu, Shuqiao Zou, Jiao Dai, Jizhong Han
    http://arxiv.org/abs/2104.02850v1

    • [cs.CV]LIFE: Lighting Invariant Flow Estimation
    Zhaoyang Huang, Xiaokun Pan, Runsen Xu, Yan Xu, Kachun Cheung, Guofeng Zhang, Hongsheng Li
    http://arxiv.org/abs/2104.03097v1

    • [cs.CV]Learning Residue-Aware Correlation Filters and Refining Scale Estimates with the GrabCut for Real-Time UAV Tracking
    Shuiwang Li, Yuting Liu, Qijun Zhao, Ziliang Feng
    http://arxiv.org/abs/2104.03114v1

    • [cs.CV]Learning Triadic Belief Dynamics in Nonverbal Communication from Videos
    Lifeng Fan, Shuwen Qiu, Zilong Zheng, Tao Gao, Song-Chun Zhu, Yixin Zhu
    http://arxiv.org/abs/2104.02841v1

    • [cs.CV]Lidar-Monocular Surface Reconstruction Using Line Segments
    Victor Amblard, Timothy P. Osedach, Arnaud Croux, Andrew Speck, John J. Leonard
    http://arxiv.org/abs/2104.02761v1

    • [cs.CV]Localization of Autonomous Vehicles: Proof of Concept for A Computer Vision Approach
    Sara Zahedian, Kaveh Farokhi Sadabadi, Amir Nohekhan
    http://arxiv.org/abs/2104.02785v1

    • [cs.CV]MPN: Multimodal Parallel Network for Audio-Visual Event Localization
    Jiashuo Yu, Ying Cheng, Rui Feng
    http://arxiv.org/abs/2104.02971v1

    • [cs.CV]MultiScene: A Large-scale Dataset and Benchmark for Multi-scene Recognition in Single Aerial Images
    Yuansheng Hua, Lichao Mou, Pu Jin, Xiao Xiang Zhu
    http://arxiv.org/abs/2104.02846v1

    • [cs.CV]Multimodal Continuous Visual Attention Mechanisms
    António Farinhas, André F. T. Martins, Pedro M. Q. Aguiar
    http://arxiv.org/abs/2104.03046v1

    • [cs.CV]Multimodal Object Detection via Bayesian Fusion
    Yi-Ting Chen, Jinghao Shi, Christoph Mertz, Shu Kong, Deva Ramanan
    http://arxiv.org/abs/2104.02904v1

    • [cs.CV]Neural Articulated Radiance Field
    Atsuhiro Noguchi, Xiao Sun, Stephen Lin, Tatsuya Harada
    http://arxiv.org/abs/2104.03110v1

    • [cs.CV]OXnet: Omni-supervised Thoracic Disease Detection from Chest X-rays
    Luyang Luo, Hao Chen, Yanning Zhou, Huangjing Lin, Pheng-Ann Pheng
    http://arxiv.org/abs/2104.03218v1

    • [cs.CV]On Self-Contact and Human Pose
    Lea Müller, Ahmed A. A. Osman, Siyu Tang, Chun-Hao P. Huang, Michael J. Black
    http://arxiv.org/abs/2104.03176v1

    • [cs.CV]On the Applicability of Synthetic Data for Face Recognition
    Haoyu Zhang, Marcel Grimmer, Raghavendra Ramachandra, Kiran Raja, Christoph Busch
    http://arxiv.org/abs/2104.02815v1

    • [cs.CV]OpenGAN: Open-Set Recognition via Open Data Generation
    Shu Kong, Deva Ramanan
    http://arxiv.org/abs/2104.02939v1

    • [cs.CV]Pretrained equivariant features improve unsupervised landmark discovery
    Rahul Rahaman, Atin Ghosh, Alexandre H. Thiery
    http://arxiv.org/abs/2104.02925v1

    • [cs.CV]RTIC: Residual Learning for Text and Image Composition using Graph Convolutional Network
    Minchul Shin, Yoonjae Cho, Byungsoo Ko, Geonmo Gu
    http://arxiv.org/abs/2104.03015v1

    • [cs.CV]SCANimate: Weakly Supervised Learning of Skinned Clothed Avatar Networks
    Shunsuke Saito, Jinlong Yang, Qianli Ma, Michael J. Black
    http://arxiv.org/abs/2104.03313v1

    • [cs.CV]SIMPLE: SIngle-network with Mimicking and Point Learning for Bottom-up Human Pose Estimation
    Jiabin Zhang, Zheng Zhu, Jiwen Lu, Junjie Huang, Guan Huang, Jie Zhou
    http://arxiv.org/abs/2104.02486v2

    • [cs.CV]Seeing Out of tHe bOx: End-to-End Pre-training for Vision-Language Representation Learning
    Zhicheng Huang, Zhaoyang Zeng, Yupan Huang, Bei Liu, Dongmei Fu, Jianlong Fu
    http://arxiv.org/abs/2104.03135v1

    • [cs.CV]Self-Supervised Learning for Gastritis Detection with Gastric X-Ray Images
    Guang Li, Ren Togo, Takahiro Ogawa, Miki Haseyama
    http://arxiv.org/abs/2104.02864v1

    • [cs.CV]Self-Supervised Learning for Semi-Supervised Temporal Action Proposal
    Xiang Wang, Shiwei Zhang, Zhiwu Qing, Yuanjie Shao, Changxin Gao, Nong Sang
    http://arxiv.org/abs/2104.03214v1

    • [cs.CV]Self-supervised Learning of Depth Inference for Multi-view Stereo
    Jiayu Yang, Jose M. Alvarez, Miaomiao Liu
    http://arxiv.org/abs/2104.02972v1

    • [cs.CV]Single Source One Shot Reenactment using Weighted motion From Paired Feature Points
    Soumya Tripathy, Juho Kannala, Esa Rahtu
    http://arxiv.org/abs/2104.03117v1

    • [cs.CV]Streaming Self-Training via Domain-Agnostic Unlabeled Images
    Zhiqiu Lin, Deva Ramanan, Aayush Bansal
    http://arxiv.org/abs/2104.03309v1

    • [cs.CV]Synthetic training data generation for deep learning based quality inspection
    Pierre Gutierrez, Maria Luschkova, Antoine Cordier, Mustafa Shukor, Mona Schappert, Tim Dahmen
    http://arxiv.org/abs/2104.02980v1

    • [cs.CV]The SARAS Endoscopic Surgeon Action Detection (ESAD) dataset: Challenges and methods
    Vivek Singh Bawa, Gurkirt Singh, Francis KapingA, Inna Skarga-Bandurova, Elettra Oleari, Alice Leporini, Carmela Landolfo, Pengfei Zhao, Xi Xiang, Gongning Luo, Kuanquan Wang, Liangzhi Li, Bowen Wang, Shang Zhao, Li Li, Armando Stabile, Francesco Setti, Riccardo Muradore, Fabio Cuzzolin
    http://arxiv.org/abs/2104.03178v1

    • [cs.CV]The Use of Video Captioning for Fostering Physical Activity
    Soheyla Amirian, Abolfazl Farahani, Hamid R. Arabnia, Khaled Rasheed, Thiab R. Taha
    http://arxiv.org/abs/2104.03207v1

    • [cs.CV]The art of defense: letting networks fool the attacker
    Jinlai Zhang, Binbin Liu, Lyvjie Chen, Bo Ouyang, Jihong Zhu, Minchi Kuang, Houqing Wang, Yanmei Meng
    http://arxiv.org/abs/2104.02963v1

    • [cs.CV]Towards measuring fairness in AI: the Casual Conversations dataset
    Caner Hazirbas, Joanna Bitton, Brian Dolhansky, Jacqueline Pan, Albert Gordo, Cristian Canton Ferrer
    http://arxiv.org/abs/2104.02821v1

    • [cs.CV]V2F-Net: Explicit Decomposition of Occluded Pedestrian Detection
    Mingyang Shang, Dawei Xiang, Zhicheng Wang, Erjin Zhou
    http://arxiv.org/abs/2104.03106v1

    • [cs.CV]VGF-Net: Visual-Geometric Fusion Learning for Simultaneous Drone Navigation and Height Mapping
    Yilin Liu, Ke Xie, Hui Huang
    http://arxiv.org/abs/2104.03109v1

    • [cs.CV]Visual Vibration Tomography: Estimating Interior Material Properties from Monocular Video
    Berthy Feng, Alexander C. Ogren, Chiara Daraio, Katherine L. Bouman
    http://arxiv.org/abs/2104.02735v1

    • [cs.CV]Warp Consistency for Unsupervised Learning of Dense Correspondences
    Prune Truong, Martin Danelljan, Fisher Yu, Luc Van Gool
    http://arxiv.org/abs/2104.03308v1

    • [cs.CV][RE] CNN-generated images are surprisingly easy to spot…for now**
    Joel Frank, Thorsten Holz
    http://arxiv.org/abs/2104.02984v1

    • [cs.CY]Growing the Simulation Ecosystem
    Thomas Pike, Samantha Golden, Daniel Lowdermilk, Brandon Luong, Benjamin Rosado
    http://arxiv.org/abs/2104.02809v1

    • [cs.CY]Imagine All the People: Citizen Science, Artificial Intelligence, and Computational Research
    Lea A. Shanley, Lucy Fortson, Tanya Berger-Wolf, Kevin Crowston, Pietro Michelucci
    http://arxiv.org/abs/2104.00093v2

    • [cs.CY]Multiscale Governance
    David Pastor-Escuredo, Philip Treleaven
    http://arxiv.org/abs/2104.02752v1

    • [cs.DB]Efficient and Accurate In-Database Machine Learning with SQL Code Generation in Python
    Michael Kaufmann, Gabriel Stechschulte, Anna Huber
    http://arxiv.org/abs/2104.03224v1

    • [cs.DC]Contingency Analysis Based on Partitioned and Parallel Holomorphic Embedding
    Rui Yao, Feng Qiu, Kai Sun
    http://arxiv.org/abs/2104.02880v1

    • [cs.DC]Decentralized Cross-Network Identity Management for Blockchain Interoperation
    Bishakh Chandra Ghosh, Venkatraman Ramakrishna, Chander Govindarajan, Dushyant Behl, Dileban Karunamoorthy, Ermyas Abebe, Sandip Chakraborty
    http://arxiv.org/abs/2104.03277v1

    • [cs.DC]Optimal CPU Scheduling in Data Centers via a Finite-Time Distributed Quantized Coordination Mechanism
    Apostolos I. Rikos, Andreas Grammenos, Evangelia Kalyvianaki, Christoforos N. Hadjicostis, Themistoklis Charalambous, Karl H. Johansson
    http://arxiv.org/abs/2104.03126v1

    • [cs.DC]Polynomial Anonymous Dynamic Distributed Computing without a Unique Leader
    Dariusz R. Kowalski, Miguel A. Mosteiro
    http://arxiv.org/abs/2104.02937v1

    • [cs.DC]Self-stabilizing Multivalued Consensus in Asynchronous Crash-prone Systems
    Oskar Lundström, Michel Raynal, Elad Michael Schiller
    http://arxiv.org/abs/2104.03129v1

    • [cs.DC]Serverless Predictions: 2021-2030
    Pedro Garcia Lopez, Aleksander Slominski, Michael Behrendt, Bernard Metzler
    http://arxiv.org/abs/2104.03075v1

    • [cs.DS]The Power of Subsampling in Submodular Maximization
    Christopher Harshaw, Ehsan Kazemi, Moran Feldman, Amin Karbasi
    http://arxiv.org/abs/2104.02772v1

    • [cs.GR]NeuMIP: Multi-Resolution Neural Materials
    Alexandr Kuznetsov, Krishna Mullia, Zexiang Xu, Miloš Hašan, Ravi Ramamoorthi
    http://arxiv.org/abs/2104.02789v1

    • [cs.GT]Lower Bounds Implementing Mediators in Asynchronous Systems
    Ivan Geffner, Joseph Y. Halpern
    http://arxiv.org/abs/2104.02759v1

    • [cs.IR]Multimodal Entity Linking for Tweets
    Omar Adjali, Romaric Besançon, Olivier Ferret, Herve Le Borgne, Brigitte Grau
    http://arxiv.org/abs/2104.03236v1

    • [cs.IT]3D Beam Training in Terahertz Communication: A Quadruple-UPA Architecture
    Zhongbao Tian, Zhi Chen, Boyu Ning
    http://arxiv.org/abs/2104.02885v1

    • [cs.IT]DRL-Assisted Resource Allocation for NOMA-MEC Offloading with Hybrid SIC
    Haodong Li, Fang Fang, Zhiguo Ding
    http://arxiv.org/abs/2104.03131v1

    • [cs.IT]Energy-Efficient UAV Multicasting with Simultaneous FSO Backhaul and Power Transfer
    Yue Ling Che, Weibin Long, Sheng Luo, Kaishun Wu, Rui Zhang
    http://arxiv.org/abs/2104.03048v1

    • [cs.IT]Hierarchical compressed sensing
    Jens Eisert, Axel Flinth, Benedikt Groß, Ingo Roth, Gerhard Wunder
    http://arxiv.org/abs/2104.02721v1

    • [cs.IT]Intelligent Reflecting Surfaces Assisted Terahertz Communications toward 6G
    Zhi Chen, Chong Han, Boyu Ning, Zhongbao Tian, Shaoqiana Li
    http://arxiv.org/abs/2104.02897v1

    • [cs.IT]Irregular-Mapped Protograph LDPC-Coded Modulation: A Bandwidth-Efficient Solution for 今日学术视野(2021.4.9) - 图3G Networks with Massive Data-Storage Requirement
    Yi Fang, Yingcheng Bu, Pingping Chen, Shahid Mumtaz, Francis C. M. Lau, Sattam Al Otaibi
    http://arxiv.org/abs/2104.02856v1

    • [cs.IT]LiFi Through Intelligent Reflecting Surfaces: A New Frontier for 6G?
    Hanaa Abumarshoud, Lina Mohjazi, Muhammad Ali Imran, Harald Haas
    http://arxiv.org/abs/2104.02390v2

    • [cs.IT]Relay-Reconfigurable Intelligent Surface Cooperation for Energy-Efficient Multiuser Systems
    Mohanad Obeed, Anas Chaaban
    http://arxiv.org/abs/2104.02849v1

    • [cs.IT]Time-Data Tradeoffs in Structured Signals Recovery via Proximal-Gradient Homotopy Method
    Xiao Lv, Wei Cui, Yulong Liu
    http://arxiv.org/abs/2104.02861v1

    • [cs.LG]Adversarial Robustness Guarantees for Gaussian Processes
    Andrea Patane, Arno Blaas, Luca Laurenti, Luca Cardelli, Stephen Roberts, Marta Kwiatkowska
    http://arxiv.org/abs/2104.03180v1

    • [cs.LG]Autoencoder-based Representation Learning from Heterogeneous Multivariate Time Series Data of Mechatronic Systems
    K. -P. Kortmann, M. Fehsenfeld, M. Wielitzka
    http://arxiv.org/abs/2104.02784v1

    • [cs.LG]Bootstrapping Your Own Positive Sample: Contrastive Learning With Electronic Health Record Data
    Tingyi Wanyan, Jing Zhang, Ying Ding, Ariful Azad, Zhangyang Wang, Benjamin S Glicksberg
    http://arxiv.org/abs/2104.02932v1

    • [cs.LG]Communication-Efficient Agnostic Federated Averaging
    Jae Ro, Mingqing Chen, Rajiv Mathews, Mehryar Mohri, Ananda Theertha Suresh
    http://arxiv.org/abs/2104.02748v1

    • [cs.LG]Conditional physics informed neural networks
    Alexander Kovacs, Lukas Exl, Alexander Kornell, Johann Fischbacher, Markus Hovorka, Markus Gusenbauer, Leoni Breth, Harald Oezelt, Masao Yano, Noritsugu Sakuma, Akihito Kinoshita, Tetsuya Shoji, Akira Kato, Thomas Schrefl
    http://arxiv.org/abs/2104.02741v1

    • [cs.LG]Contrastive Explanations for Explaining Model Adaptations
    André Artelt, Fabian Hinder, Valerie Vaquet, Robert Feldhans, Barbara Hammer
    http://arxiv.org/abs/2104.02459v2

    • [cs.LG]Creativity and Machine Learning: a Survey
    Giorgio Franceschelli, Mirco Musolesi
    http://arxiv.org/abs/2104.02726v1

    • [cs.LG]Deep Interpretable Models of Theory of Mind For Human-Agent Teaming
    Ini Oguntola, Dana Hughes, Katia Sycara
    http://arxiv.org/abs/2104.02938v1

    • [cs.LG]Deep Learning and Traffic Classification: Lessons learned from a commercial-grade dataset with hundreds of encrypted and zero-day applications
    Lixuan Yang, Alessandro Finamore, Feng Jun, Dario Rossi
    http://arxiv.org/abs/2104.03182v1

    • [cs.LG]Distantly Supervised Transformers For E-Commerce Product QA
    Happy Mittal, Aniket Chakrabarti, Belhassen Bayar, Animesh Anant Sharma, Nikhil Rasiwasia
    http://arxiv.org/abs/2104.02947v1

    • [cs.LG]Distributional Robustness Loss for Long-tail Learning
    Dvir Samuel, Gal Chechik
    http://arxiv.org/abs/2104.03066v1

    • [cs.LG]DyGCN: Dynamic Graph Embedding with Graph Convolutional Network
    Zeyu Cui, Zekun Li, Shu Wu, Xiaoyu Zhang, Qiang Liu, Liang Wang, Mengmeng Ai
    http://arxiv.org/abs/2104.02962v1

    • [cs.LG]Ecole: A Library for Learning Inside MILP Solvers
    Antoine Prouvost, Justin Dumouchelle, Maxime Gasse, Didier Chételat, Andrea Lodi
    http://arxiv.org/abs/2104.02828v1

    • [cs.LG]Evaluation of Time Series Forecasting Models for Estimation of PM2.5 Levels in Air
    Satvik Garg, Himanshu Jindal
    http://arxiv.org/abs/2104.03226v1

    • [cs.LG]Finite-Sample Analysis for Two Time-scale Non-linear TDC with General Smooth Function Approximation
    Yue Wang, Shaofeng Zou, Yi Zhou
    http://arxiv.org/abs/2104.02836v1

    • [cs.LG]Improving Robustness of Deep Reinforcement Learning Agents: Environment Attacks based on Critic Networks
    Lucas Schott, Manon Césaire, Hatem Hajri, Sylvain Lamprier
    http://arxiv.org/abs/2104.03154v1

    • [cs.LG]Learned transform compression with optimized entropy encoding
    Magda Gregorová, Marc Desaules, Alexandros Kalousis
    http://arxiv.org/abs/2104.03305v1

    • [cs.LG]Level-Set Curvature Neural Networks: A Hybrid Approach
    Luis Ángel Larios-Cárdenas, Frederic Gibou
    http://arxiv.org/abs/2104.02951v1

    • [cs.LG]Low-Regret Active learning
    Cenk Baykal, Lucas Liebenwein, Dan Feldman, Daniela Rus
    http://arxiv.org/abs/2104.02822v1

    • [cs.LG]Machine Learning-Driven Virtual Bidding with Electricity Market Efficiency Analysis
    Yinglun Li, Nanpeng Yu, Wei Wang
    http://arxiv.org/abs/2104.02754v1

    • [cs.LG]Modern Hopfield Networks for Few- and Zero-Shot Reaction Prediction
    Philipp Seidl, Philipp Renz, Natalia Dyubankova, Paulo Neves, Jonas Verhoeven, Jörg K. Wegner, Sepp Hochreiter, Günter Klambauer
    http://arxiv.org/abs/2104.03279v1

    • [cs.LG]On the Critical Role of Conventions in Adaptive Human-AI Collaboration
    Andy Shih, Arjun Sawhney, Jovana Kondic, Stefano Ermon, Dorsa Sadigh
    http://arxiv.org/abs/2104.02871v1

    • [cs.LG]On-device Federated Learning with Flower
    Akhil Mathur, Daniel J. Beutel, Pedro Porto Buarque de Gusmão, Javier Fernandez-Marques, Taner Topal, Xinchi Qiu, Titouan Parcollet, Yan Gao, Nicholas D. Lane
    http://arxiv.org/abs/2104.03042v1

    • [cs.LG]Optimizing Memory Efficiency of Graph NeuralNetworks on Edge Computing Platforms
    Ao Zhou, Jianlei Yang, Yeqi Gao, Tong Qiao, Yingjie Qi, Xiaoyi Wang, Yunli Chen, Pengcheng Dai, Weisheng Zhao, Chunming Hu
    http://arxiv.org/abs/2104.03058v1

    • [cs.LG]Partially-Connected Differentiable Architecture Search for Deepfake and Spoofing Detection
    Wanying Ge, Michele Panariello, Jose Patino, Massimiliano Todisco, Nicholas Evans
    http://arxiv.org/abs/2104.03123v1

    • [cs.LG]PlasticineLab: A Soft-Body Manipulation Benchmark with Differentiable Physics
    Zhiao Huang, Yuanming Hu, Tao Du, Siyuan Zhou, Hao Su, Joshua B. Tenenbaum, Chuang Gan
    http://arxiv.org/abs/2104.03311v1

    • [cs.LG]Proof of the Theory-to-Practice Gap in Deep Learning via Sampling Complexity bounds for Neural Network Approximation Spaces
    Philipp Grohs, Felix Voigtlaender
    http://arxiv.org/abs/2104.02746v1

    • [cs.LG]Quasi-Newton Quasi-Monte Carlo for variational Bayes
    Sifan Liu, Art B. Owen
    http://arxiv.org/abs/2104.02865v1

    • [cs.LG]Recognizing and Verifying Mathematical Equations using Multiplicative Differential Neural Units
    Ankur Mali, Alexander Ororbia, Daniel Kifer, C. Lee Giles
    http://arxiv.org/abs/2104.02899v1

    • [cs.LG]Regularizing Generative Adversarial Networks under Limited Data
    Hung-Yu Tseng, Lu Jiang, Ce Liu, Ming-Hsuan Yang, Weilong Yang
    http://arxiv.org/abs/2104.03310v1

    • [cs.LG]Reinforcement Learning with a Disentangled Universal Value Function for Item Recommendation
    Kai Wang, Zhene Zou, Qilin Deng, Runze Wu, Jianrong Tao, Changjie Fan, Liang Chen, Peng Cui
    http://arxiv.org/abs/2104.02981v1

    • [cs.LG]Representative & Fair Synthetic Data
    Paul Tiwald, Alexandra Ebert, Daniel T. Soukup
    http://arxiv.org/abs/2104.03007v1

    • [cs.LG]Risk-Conditioned Distributional Soft Actor-Critic for Risk-Sensitive Navigation
    Jinyoung Choi, Christopher R. Dance, Jung-eun Kim, Seulbin Hwang, Kyung-sik Park
    http://arxiv.org/abs/2104.03111v1

    • [cs.LG]Safe-by-Repair: A Convex Optimization Approach for Repairing Unsafe Two-Level Lattice Neural Network Controllers
    Ulices Santa Cruz, James Ferlez, Yasser Shoukry
    http://arxiv.org/abs/2104.02788v1

    • [cs.LG]Scaling Scaling Laws with Board Games
    Andrew L. Jones
    http://arxiv.org/abs/2104.03113v1

    • [cs.LG]Sparse Oblique Decision Trees: A Tool to Understand and Manipulate Neural Net Features
    Suryabhan Singh Hada, Miguel Á. Carreira-Perpiñán, Arman Zharmagambetov
    http://arxiv.org/abs/2104.02922v1

    • [cs.LG]Spectral Analysis of the Neural Tangent Kernel for Deep Residual Networks
    Yuval Belfer, Amnon Geifman, Meirav Galun, Ronen Basri
    http://arxiv.org/abs/2104.03093v1

    • [cs.LG]TSception: Capturing Temporal Dynamics and Spatial Asymmetry from EEG for Emotion Recognition
    Yi Ding, Neethu Robinson, Qiuhao Zeng, Cuntai Guan
    http://arxiv.org/abs/2104.02935v1

    • [cs.LG]The Emergence of Abstract and Episodic Neurons in Episodic Meta-RL
    Badr AlKhamissi, Muhammad ElNokrashy, Michael Spranger
    http://arxiv.org/abs/2104.02959v1

    • [cs.LG]The Multi-Agent Behavior Dataset: Mouse Dyadic Social Interactions
    Jennifer J. Sun, Tomomi Karigo, Dipam Chakraborty, Sharada P. Mohanty, David J. Anderson, Pietro Perona, Yisong Yue, Ann Kennedy
    http://arxiv.org/abs/2104.02710v2

    • [cs.LG]Theoretically Improving Graph Neural Networks via Anonymous Walk Graph Kernels
    Qingqing Long, Yilun Jin, Yi Wu, Guojie Song
    http://arxiv.org/abs/2104.02995v1

    • [cs.LG]Trajectory Prediction with Latent Belief Energy-Based Model
    Bo Pang, Tianyang Zhao, Xu Xie, Ying Nian Wu
    http://arxiv.org/abs/2104.03086v1

    • [cs.LG]Universal Adversarial Training with Class-Wise Perturbations
    Philipp Benz, Chaoning Zhang, Adil Karjauv, In So Kweon
    http://arxiv.org/abs/2104.03000v1

    • [cs.NE]Co-optimising Robot Morphology and Controller in a Simulated Open-Ended Environment
    Emma Hjellbrekke Stensby, Kai Olav Ellefsen, Kyrre Glette
    http://arxiv.org/abs/2104.03062v1

    • [cs.NI]A Coverage-Aware Distributed k-Connectivity Maintenance Algorithm for Arbitrarily Large k in Mobile Sensor Networks
    Vahid Khalilpour Akram, Orhan Dagdeviren, Bulent Tavli
    http://arxiv.org/abs/2104.02783v1

    • [cs.PF]A Preliminary Proposal for an Analytical Model for Evaluating the Impact on Performance of Data Access Patterns in Transaction Execution
    Pierangelo Di Sanzo
    http://arxiv.org/abs/2104.03187v1

    • [cs.RO]A Quadratic Programming Approach to Manipulation in Real-Time Using Modular Robots
    Chao Liu, Mark Yim
    http://arxiv.org/abs/2104.02755v1

    • [cs.RO]An almost globally convergent observer for visual SLAM without persistent excitation
    Bowen Yi, Chi Jin, Lei Wang, Guodong Shi, Ian R. Manchester
    http://arxiv.org/abs/2104.02966v1

    • [cs.RO]Demonstrating Cloth Folding to Robots: Design and Evaluation of a 2D and a 3D User Interface
    Benjamin Waymouth, Akansel Cosgun, Rhys Newbury, Tin Tran, Wesley P. Chan, Tom Drummond, Elizabeth Croft
    http://arxiv.org/abs/2104.02968v1

    • [cs.RO]Few-Shot Meta-Learning on Point Cloud for Semantic Segmentation
    Xudong Li, Li Feng, Lei Li, Chen Wang
    http://arxiv.org/abs/2104.02979v1

    • [cs.RO]Human-Vehicle Cooperation on Prediction-Level: Enhancing Automated Driving with Human Foresight
    Chao Wang, Thomas H. Weisswange, Matti Krueger, Christiane B. Wiebel-Herboth
    http://arxiv.org/abs/2104.03019v1

    • [cs.RO]Human-robot collaborative object transfer using human motion prediction based on Cartesian pose Dynamic Movement Primitives
    Antonis Sidiropoulos, Yiannis Karayiannidis, Zoe Doulgeri
    http://arxiv.org/abs/2104.03155v1

    • [cs.RO]Optimal Control for Structurally Sparse Systems using Graphical Inference
    Roshan Pradhan, Shuo Yang, Frank Dellaert, Howie Choset, Matthew Travers
    http://arxiv.org/abs/2104.02945v1

    • [cs.RO]Out-of-Distribution Robustness with Deep Recursive Filters
    Kapil D. Katyal, I-Jeng Wang, Gregory D. Hager
    http://arxiv.org/abs/2104.02799v1

    • [cs.RO]Predictive 3D Sonar Mapping of Underwater Environments via Object-specific Bayesian Inference
    John McConnell, Brendan Englot
    http://arxiv.org/abs/2104.03203v1

    • [cs.RO]Robot Development and Path Planning for Indoor Ultraviolet Light Disinfection
    Jonathan Conroy, Christopher Thierauf, Parker Rule, Evan Krause, Hugo Akitaya, Andrei Gonczi, Matias Korman, Matthias Scheutz
    http://arxiv.org/abs/2104.02913v1

    • [cs.RO]Synthesized Trust Learning from Limited Human Feedback for Human-Load-Reduced Multi-Robot Deployments
    Yijiang Pang, Chao Huang, Rui Liu
    http://arxiv.org/abs/2104.03151v1

    • [cs.RO]The Value of Planning for Infinite-Horizon Model Predictive Control
    Nathan Hatch, Byron Boots
    http://arxiv.org/abs/2104.02863v1

    • [cs.RO]Unsupervised Visual Attention and Invariance for Reinforcement Learning
    Xudong Wang, Long Lian, Stella X. Yu
    http://arxiv.org/abs/2104.02921v1

    • [cs.SD]AST: Audio Spectrogram Transformer
    Yuan Gong, Yu-An Chung, James Glass
    http://arxiv.org/abs/2104.01778v2

    • [cs.SD]Learning robust speech representation with an articulatory-regularized variational autoencoder
    Marc-Antoine Georges, Laurent Girin, Jean-Luc Schwartz, Thomas Hueber
    http://arxiv.org/abs/2104.03204v1

    • [cs.SI]Semi-Supervised Classification of Social Media Posts: Identifying Sex-Industry Posts to Enable Better Support for Those Experiencing Sex-Trafficking
    Ellie Simonson
    http://arxiv.org/abs/2104.03233v1

    • [econ.EM]The Properly Use of Google Trends in Forecasting Models
    Marcelo C. Medeiros, Henrique F. Pires
    http://arxiv.org/abs/2104.03065v1

    • [eess.AS]Adapting Speaker Embeddings for Speaker Diarisation
    Youngki Kwon, Jee-weon Jung, Hee-Soo Heo, You Jin Kim, Bong-Jin Lee, Joon Son Chung
    http://arxiv.org/abs/2104.02879v1

    • [eess.AS]Capturing Multi-Resolution Context by Dilated Self-Attention
    Niko Moritz, Takaaki Hori, Jonathan Le Roux
    http://arxiv.org/abs/2104.02858v1

    • [eess.AS]Exploring Targeted Universal Adversarial Perturbations to End-to-end ASR Models
    Zhiyun Lu, Wei Han, Yu Zhang, Liangliang Cao
    http://arxiv.org/abs/2104.02757v1

    • [eess.AS]FSR: Accelerating the Inference Process of Transducer-Based Models by Applying Fast-Skip Regularization
    Zhengkun Tian, Jiangyan Yi, Ye Bai, Jianhua Tao, Shuai Zhang, Zhengqi Wen
    http://arxiv.org/abs/2104.02882v1

    • [eess.AS]Learning to Rank Microphones for Distant Speech Recognition
    Samuele Cornell, Alessio Brutti, Marco Matassoni, Stefano Squartini
    http://arxiv.org/abs/2104.02819v1

    • [eess.AS]Relaxing the Conditional Independence Assumption of CTC-based ASR by Conditioning on Intermediate Predictions
    Jumon Nozaki, Tatsuya Komatsu
    http://arxiv.org/abs/2104.02724v1

    • [eess.AS]Siamese Neural Network with Joint Bayesian Model Structure for Speaker Verification
    Xugang Lu, Peng Shen, Yu Tsao, Hisashi Kawai
    http://arxiv.org/abs/2104.03004v1

    • [eess.AS]Speaker Diarization using Two-pass Leave-One-Out Gaussian PLDA Clustering of DNN Embeddings
    Kiran Karra, Alan McCree
    http://arxiv.org/abs/2104.02469v2

    • [eess.AS]The AS-NU System for the M2VoC Challenge
    Cheng-Hung Hu, Yi-Chiao Wu, Wen-Chin Huang, Yu-Huai Peng, Yu-Wen Chen, Pin-Jui Ku, Tomoki Toda, Yu Tsao, Hsin-Min Wang
    http://arxiv.org/abs/2104.03009v1

    • [eess.AS]Three-class Overlapped Speech Detection using a Convolutional Recurrent Neural Network
    Jee-weon Jung, Hee-Soo Heo, Youngki Kwon, Joon Son Chung, Bong-Jin Lee
    http://arxiv.org/abs/2104.02878v1

    • [eess.AS]Utilizing Self-supervised Representations for MOS Prediction
    Wei-Cheng Tseng, Chien-yu Huang, Wei-Tsung Kao, Yist Y. Lin, Hung-yi Lee
    http://arxiv.org/abs/2104.03017v1

    • [eess.IV]CNN Based Segmentation of Infarcted Regions in Acute Cerebral Stroke Patients From Computed Tomography Perfusion Imaging
    Luca Tomasetti, Kjersti Engan, Mahdieh Khanmohammadi, Kathinka Dæhli Kurz
    http://arxiv.org/abs/2104.03002v1

    • [eess.IV]Dense Dilated UNet: Deep Learning for 3D Photoacoustic Tomography Image Reconstruction
    Steven Guan, Ko-Tsung Hsu, Matthias Eyassu, Parag V. Chitnis
    http://arxiv.org/abs/2104.03130v1

    • [eess.IV]Dual-Consistency Semi-Supervised Learning with Uncertainty Quantification for COVID-19 Lesion Segmentation from CT Images
    Yanwen Li, Luyang Luo, Huangjing Lin, Hao Chen, Pheng-Ann Heng
    http://arxiv.org/abs/2104.03225v1

    • [eess.IV]First arrival picking using U-net with Lovasz loss and nearest point picking method
    Pengyu Yuan, Wenyi Hu, Xuqing Wu, Jiefu Chen, Hien Van Nguyen
    http://arxiv.org/abs/2104.02805v1

    • [eess.IV]Information Bottleneck Attribution for Visual Explanations of Diagnosis and Prognosis
    Ugur Demir, Ismail Irmakci, Elif Keles, Ahmet Topcu, Ziyue Xu, Concetto Spampinato, Sachin Jambawalikar, Evrim Turkbey, Baris Turkbey, Ulas Bagci
    http://arxiv.org/abs/2104.02869v1

    • [eess.IV]PyNET-CA: Enhanced PyNET with Channel Attention for End-to-End Mobile Image Signal Processing
    Byung-Hoon Kim, Joonyoung Song, Jong Chul Ye, JaeHyun Baek
    http://arxiv.org/abs/2104.02895v1

    • [eess.IV]Soft-Label Anonymous Gastric X-ray Image Distillation
    Guang Li, Ren Togo, Takahiro Ogawa, Miki Haseyama
    http://arxiv.org/abs/2104.02857v1

    • [eess.IV]Speckles-Training-Based Denoising Convolutional Neural Network Ghost Imaging
    Yuchen He, Sihong Duan, Jianxing Li, Hui Chen, Huaibin Zheng, Jianbin Liu, Shitao Zhu, Zhuo Xu
    http://arxiv.org/abs/2104.02873v1

    • [eess.IV]TB-Net: A Tailored, Self-Attention Deep Convolutional Neural Network Design for Detection of Tuberculosis Cases from Chest X-ray Images
    Alexander Wong, James Ren Hou Lee, Hadi Rahmat-Khah, Ali Sabri, Amer Alaref
    http://arxiv.org/abs/2104.03165v1

    • [eess.IV]Time-Multiplexed Coded Aperture Imaging: Learned Coded Aperture and Pixel Exposures for Compressive Imaging Systems
    Edwin Vargas, Julien N. P. Martel, Gordon Wetzstein, Henry Arguello
    http://arxiv.org/abs/2104.02820v1

    • [eess.IV]Universal and Flexible Optical Aberration Correction Using Deep-Prior Based Deconvolution
    Xiu Li, Jinli Suo, Weihang Zhang, Xin Yuan, Qionghai Dai
    http://arxiv.org/abs/2104.03078v1

    • [eess.SP]Empowering Prosumer Communities in Smart Grid with Wireless Communications and Federated Edge Learning
    Afaf Taik, Boubakr Nour, Soumaya Cherkaoui
    http://arxiv.org/abs/2104.03169v1

    • [eess.SY]Approximate Robust NMPC using Reinforcement Learning
    Hossein Nejatbakhsh Esfahani, Arash Bahari Kordabad, Sebastien Gros
    http://arxiv.org/abs/2104.02743v1

    • [eess.SY]Efficient state and parameter estimation for high-dimensional nonlinear system identification with application to MEG brain network modeling
    Matthew F. Singh, Chong Wang, Michael W. Cole, ShiNung Ching
    http://arxiv.org/abs/2104.02827v1

    • [eess.SY]GEM: Group Enhanced Model for Learning Dynamical Control Systems
    Philippe Hansen-Estruch, Wenling Shang, Lerrel Pinto, Pieter Abbeel, Stas Tiomkin
    http://arxiv.org/abs/2104.02844v1

    • [eess.SY]Neural Network-based Control for Multi-Agent Systems from Spatio-Temporal Specifications
    Suhail Alsalehi, Noushin Mehdipour, Ezio Bartocci, Calin Belta
    http://arxiv.org/abs/2104.02737v1

    • [math.NT]Valued rank-metric codes
    Yassine El Maazouz, Marvin Anas Hahn, Alessandro Neri, Mima Stanojkovski
    http://arxiv.org/abs/2104.03216v1

    • [math.OC]An Iteratively Reweighted Method for Sparse Optimization on Nonconvex 今日学术视野(2021.4.9) - 图4 Ball
    Hao Wang, Xiangyu Yang, Wei Jiang
    http://arxiv.org/abs/2104.02912v1

    • [math.OC]Optimal Algorithms for Differentially Private Stochastic Monotone Variational Inequalities and Saddle-Point Problems
    Digvijay Boob, Cristóbal Guzmán
    http://arxiv.org/abs/2104.02988v1

    • [math.OC]Temporal Parallelisation of Dynamic Programming and Linear Quadratic Control
    Simo Särkkä, Ángel F. García-Fernández
    http://arxiv.org/abs/2104.03186v1

    • [math.ST]Community Detection with Contextual Multilayer Networks
    Zongming Ma, Sagnik Nandy
    http://arxiv.org/abs/2104.02960v1

    • [math.ST]Concentration Inequalities for Two-Sample Rank Processes with Application to Bipartite Ranking
    Stéphan Clémençon, Myrto Limnios, Nicolas Vayatis
    http://arxiv.org/abs/2104.02943v1

    • [math.ST]Fast Convergence on Perfect Classification for Functional Data
    Tomoya Wakayama, Masaaki Imaizumi
    http://arxiv.org/abs/2104.02978v1

    • [math.ST]Minimax Estimation of Linear Functions of Eigenvectors in the Face of Small Eigen-Gaps
    Gen Li, Changxiao Cai, Yuantao Gu, H. Vincent Poor, Yuxin Chen
    http://arxiv.org/abs/2104.03298v1

    • [math.ST]Near-optimal estimation of the unseen under regularly varying tail populations
    Stefano Favaro, Zacharie Naulet
    http://arxiv.org/abs/2104.03251v1

    • [math.ST]Online change-point detection for a transient change
    Jack Noonan
    http://arxiv.org/abs/2104.02734v1

    • [math.ST]The quantification of Simpsons paradox and other contributions to contingency table theory
    Friedrich Teuscher
    http://arxiv.org/abs/2104.03200v1

    • [physics.soc-ph]Quantifying incentive (in)compatibility: a case study from sports
    László Csató
    http://arxiv.org/abs/2104.03067v1

    • [stat.AP]Modeling a sequence of multinomial data with randomly varying probabilities
    Soudeep Deb, Rishideep Roy, Shubhabrata Das
    http://arxiv.org/abs/2104.02924v1

    • [stat.CO]Discussion of “A Gibbs sampler for a class of random convex polytopes”
    Jonathan P Williams
    http://arxiv.org/abs/2104.02717v1

    • [stat.ME]Co-clustering of time-dependent data via Shape Invariant Model
    Alessandro Casa, Charles Bouveyron, Elena Erosheva, Giovanna Menardi
    http://arxiv.org/abs/2104.03083v1

    • [stat.ME]Data-fusion using factor analysis and low-rank matrix completion
    Daniel Ahfock, Saumyadipta Pyne, Geoffrey J. McLachlan
    http://arxiv.org/abs/2104.02888v1

    • [stat.ME]Dynamic Principal Subspaces with Sparsity in High Dimensions
    Xiaoyu Hu, Fang Yao
    http://arxiv.org/abs/2104.03087v1

    • [stat.ME]Graphical models for circular variables
    Anna Gottard, Agnese Panzera
    http://arxiv.org/abs/2104.03194v1

    • [stat.ME]Inference for partially observed Riemannian Ornstein—Uhlenbeck diffusions of covariance matrices
    Mai Ngoc Bui, Yvo Pokern, Petros Dellaportas
    http://arxiv.org/abs/2104.03193v1

    • [stat.ME]Random graphs with node and block effects: models, goodness-of-fit tests, and applications to biological networks
    Elizabeth Gross, Sonja Petrović, Despina Stasi
    http://arxiv.org/abs/2104.03167v1

    • [stat.ME]Variable selection with missing data in both covariates and outcomes: Imputation and machine learning
    Liangyuan Hu, Jung-Yi Joyce Lin, Jiayi Ji
    http://arxiv.org/abs/2104.02769v1

    • [stat.ML]DoubleML — An Object-Oriented Implementation of Double Machine Learning in Python
    Philipp Bach, Victor Chernozhukov, Malte S. Kurz, Martin Spindler
    http://arxiv.org/abs/2104.03220v1

    • [stat.ML]Harmless label noise and informative soft-labels in supervised classification
    Daniel Ahfock, Geoffrey J. McLachlan
    http://arxiv.org/abs/2104.02872v1

    • [stat.ML]Hollow-tree Super: a directional and scalable approach for feature importance in boosted tree models
    Stephane Doyen, Hugh Taylor, Peter Nicholas, Lewis Crawford, Isabella Young, Michael Sughrue
    http://arxiv.org/abs/2104.03088v1

    • [stat.ML]Minimax Kernel Machine Learning for a Class of Doubly Robust Functionals
    AmirEmad Ghassami, Andrew Ying, Ilya Shpitser, Eric Tchetgen Tchetgen
    http://arxiv.org/abs/2104.02929v1

    • [stat.ML]Online Feature Screening for Data Streams with Concept Drift
    Mingyuan Wang, Adrian Barbu
    http://arxiv.org/abs/2104.02883v1

    • [stat.ML]Prediction with Missing Data
    Dimitris Bertsimas, Arthur Delarue, Jean Pauphilet
    http://arxiv.org/abs/2104.03158v1

    • [stat.ML]Robust Semantic Interpretability: Revisiting Concept Activation Vectors
    Jacob Pfau, Albert T. Young, Jerome Wei, Maria L. Wei, Michael J. Keiser
    http://arxiv.org/abs/2104.02768v1

    • [stat.ML]Sparse Partial Least Squares for Coarse Noisy Graph Alignment
    Michael Weylandt, George Michailidis, T. Mitchell Roddenberry
    http://arxiv.org/abs/2104.02810v1

    • [stat.ML]Which Neural Network to Choose for Post-Fault Localization, Dynamic State Estimation and Optimal Measurement Placement in Power Systems?
    Andrei Afonin, Michael Chertkov
    http://arxiv.org/abs/2104.03115v1