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 G 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 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?
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• [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 G 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 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