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.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.NI - 网络和互联网体系结构 cs.RO - 机器人学 cs.SD - 声音处理 cs.SI - 社交网络与信息网络 eess.IV - 图像与视频处理 eess.SP - 信号处理 eess.SY - 系统和控制 math.OC - 优化与控制 math.ST - 统计理论 nlin.AO - 适应和自组织系统 physics.soc-ph - 物理学与社会 q-bio.QM - 定量方法 q-fin.PM - 投资组合管理 quant-ph - 量子物理 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]AlphaEvolve: A Learning Framework to Discover Novel Alphas in Quantitative Investment
    • [cs.AI]Contracting and Involutive Negations of Probability Distributions
    • [cs.AI]Flatland Competition 2020: MAPF and MARL for Efficient Train Coordination on a Grid World
    • [cs.AI]Platform for Situated Intelligence
    • [cs.AI]Representation range needs for 16-bit neural network training
    • [cs.AI]Towards Active Learning Based Smart Assistant for Manufacturing
    • [cs.AI]pH-RL: A personalization architecture to bringreinforcement learning to health practice
    • [cs.AR]Demonstrating Analog Inference on the BrainScaleS-2 Mobile System
    • [cs.CL]AfriKI: Machine-in-the-Loop Afrikaans Poetry Generation
    • [cs.CL]Auto Correcting in the Process of Translation — Multi-task Learning Improves Dialogue Machine Translation
    • [cs.CL]Contextual Text Embeddings for Twi
    • [cs.CL]Data Augmentation in a Hybrid Approach for Aspect-Based Sentiment Analysis
    • [cs.CL]Explaining a Neural Attention Model for Aspect-Based Sentiment Classification Using Diagnostic Classification
    • [cs.CL]Explaining the Road Not Taken
    • [cs.CL]Grounding Dialogue Systems via Knowledge Graph Aware Decoding with Pre-trained Transformers
    • [cs.CL]Grounding Open-Domain Instructions to Automate Web Support Tasks
    • [cs.CL]Industry Scale Semi-Supervised Learning for Natural Language Understanding
    • [cs.CL]Locally-Contextual Nonlinear CRFs for Sequence Labeling
    • [cs.CL]Put Chatbot into Its Interlocutor’s Shoes: New Framework to Learn Chatbot Responding with Intention
    • [cs.CL]Representing ELMo embeddings as two-dimensional text online
    • [cs.CL]Text Normalization for Low-Resource Languages of Africa
    • [cs.CL]Transformer visualization via dictionary learning: contextualized embedding as a linear superposition of transformer factors
    • [cs.CL]Unsupervised Machine Translation On Dravidian Languages
    • [cs.CL]XRJL-HKUST at SemEval-2021 Task 4: WordNet-Enhanced Dual Multi-head Co-Attention for Reading Comprehension of Abstract Meaning
    • [cs.CR]A Taxonomy of Cyber Defence Strategies Against False Data Attacks in Smart Grid
    • [cs.CR]Automating Defense Against Adversarial Attacks: Discovery of Vulnerabilities and Application of Multi-INT Imagery to Protect Deployed Models
    • [cs.CR]Early Detection of In-Memory Malicious Activity based on Run-time Environmental Features
    • [cs.CR]Enabling Homomorphically Encrypted Inference for Large DNN Models
    • [cs.CR]Online Defense of Trojaned Models using Misattributions
    • [cs.CR]Privacy and Trust Redefined in Federated Machine Learning
    • [cs.CR]Twine: An Embedded Trusted Runtime for WebAssembly
    • [cs.CV]3D AffordanceNet: A Benchmark for Visual Object Affordance Understanding
    • [cs.CV]3D Human Pose and Shape Regression with Pyramidal Mesh Alignment Feedback Loop
    • [cs.CV]3D-MAN: 3D Multi-frame Attention Network for Object Detection
    • [cs.CV]A Multiplexed Network for End-to-End, Multilingual OCR
    • [cs.CV]A Simple Approach for Zero-Shot Learning based on Triplet Distribution Embeddings
    • [cs.CV]AGQA: A Benchmark for Compositional Spatio-Temporal Reasoning
    • [cs.CV]Active Learning for Deep Object Detection via Probabilistic Modeling
    • [cs.CV]Adaptive Methods for Real-World Domain Generalization
    • [cs.CV]Adaptive Pseudo-Label Refinement by Negative Ensemble Learning for Source-Free Unsupervised Domain Adaptation
    • [cs.CV]Assessing YOLACT++ for real time and robust instance segmentation of medical instruments in endoscopic procedures
    • [cs.CV]Augmented Transformer with Adaptive Graph for Temporal Action Proposal Generation
    • [cs.CV]Automated Cleanup of the ImageNet Dataset by Model Consensus, Explainability and Confident Learning
    • [cs.CV]Beltrami Signature: A Novel Invariant 2D Shape Representation for Object Classification
    • [cs.CV]Benchmarking Representation Learning for Natural World Image Collections
    • [cs.CV]Bilevel Online Adaptation for Out-of-Domain Human Mesh Reconstruction
    • [cs.CV]Boundary IoU: Improving Object-Centric Image Segmentation Evaluation
    • [cs.CV]Broaden Your Views for Self-Supervised Video Learning
    • [cs.CV]Causal Hidden Markov Model for Time Series Disease Forecasting
    • [cs.CV]Class-Aware Robust Adversarial Training for Object Detection
    • [cs.CV]CoLA: Weakly-Supervised Temporal Action Localization with Snippet Contrastive Learning
    • [cs.CV]Comparison of different convolutional neural network activa-tion functions and methods for building ensembles
    • [cs.CV]Context Modeling in 3D Human Pose Estimation: A Unified Perspective
    • [cs.CV]Contrastive Embedding for Generalized Zero-Shot Learning
    • [cs.CV]Data-Uncertainty Guided Multi-Phase Learning for Semi-Supervised Object Detection
    • [cs.CV]Deep Gaussian Processes for Few-Shot Segmentation
    • [cs.CV]Deep Learning and Machine Vision for Food Processing: A Survey
    • [cs.CV]Deep regression on manifolds: a 3D rotation case study
    • [cs.CV]DeepWORD: A GCN-based Approach for Owner-Member Relationship Detection in Autonomous Driving
    • [cs.CV]Delving into Localization Errors for Monocular 3D Object Detection
    • [cs.CV]Depth-conditioned Dynamic Message Propagation for Monocular 3D Object Detection
    • [cs.CV]DiNTS: Differentiable Neural Network Topology Search for 3D Medical Image Segmentation
    • [cs.CV]Diagnosing Vision-and-Language Navigation: What Really Matters
    • [cs.CV]Diagonal Attention and Style-based GAN for Content-Style Disentanglement in Image Generation and Translation
    • [cs.CV]Differentiable Drawing and Sketching
    • [cs.CV]Differentiable Network Adaption with Elastic Search Space
    • [cs.CV]Distribution Alignment: A Unified Framework for Long-tail Visual Recognition
    • [cs.CV]Does it work outside this benchmark? Introducing the Rigid Depth Constructor tool, depth validation dataset construction in rigid scenes for the masses
    • [cs.CV]Domain-robust VQA with diverse datasets and methods but no target labels
    • [cs.CV]Dynamic Attention guided Multi-Trajectory Analysis for Single Object Tracking
    • [cs.CV]Enabling Data Diversity: Efficient Automatic Augmentation via Regularized Adversarial Training
    • [cs.CV]Endo-Depth-and-Motion: Localization and Reconstruction in Endoscopic Videos using Depth Networks and Photometric Constraints
    • [cs.CV]FONTNET: On-Device Font Understanding and Prediction Pipeline
    • [cs.CV]Face Forensics in the Wild
    • [cs.CV]Fast and Accurate Normal Estimation for Point Cloud via Patch Stitching
    • [cs.CV]Flow-based Kernel Prior with Application to Blind Super-Resolution
    • [cs.CV]Free-form Description Guided 3D Visual Graph Network for Object Grounding in Point Cloud
    • [cs.CV]Fully Convolutional Scene Graph Generation
    • [cs.CV]GNeRF: GAN-based Neural Radiance Field without Posed Camera
    • [cs.CV]Generalized Organ Segmentation by Imitating One-shot Reasoning using Anatomical Correlation
    • [cs.CV]Graph Stacked Hourglass Networks for 3D Human Pose Estimation
    • [cs.CV]Graph-based Facial Affect Analysis: A Review of Methods, Applications and Challenges
    • [cs.CV]Grounding Physical Concepts of Objects and Events Through Dynamic Visual Reasoning
    • [cs.CV]Head2HeadFS: Video-based Head Reenactment with Few-shot Learning
    • [cs.CV]High-fidelity Face Tracking for AR/VR via Deep Lighting Adaptation
    • [cs.CV]ICE: Inter-instance Contrastive Encoding for Unsupervised Person Re-identification
    • [cs.CV]Identity-Aware CycleGAN for Face Photo-Sketch Synthesis and Recognition
    • [cs.CV]Improving robustness against common corruptions with frequency biased models
    • [cs.CV]In-Place Scene Labelling and Understanding with Implicit Scene Representation
    • [cs.CV]Is segmentation uncertainty useful?
    • [cs.CV]Kaleido-BERT: Vision-Language Pre-training on Fashion Domain
    • [cs.CV]Large Scale Autonomous Driving Scenarios Clustering with Self-supervised Feature Extraction
    • [cs.CV]Large Scale Visual Food Recognition
    • [cs.CV]Learnable Graph Matching: Incorporating Graph Partitioning with Deep Feature Learning for Multiple Object Tracking
    • [cs.CV]Learning Domain Invariant Representations for Generalizable Person Re-Identification
    • [cs.CV]Learning Parallel Dense Correspondence from Spatio-Temporal Descriptors for Efficient and Robust 4D Reconstruction
    • [cs.CV]Learning Representational Invariances for Data-Efficient Action Recognition
    • [cs.CV]Learning Target Candidate Association to Keep Track of What Not to Track
    • [cs.CV]Learning monocular 3D reconstruction of articulated categories from motion
    • [cs.CV]Leveraging Self-Supervision for Cross-Domain Crowd Counting
    • [cs.CV]Locate then Segment: A Strong Pipeline for Referring Image Segmentation
    • [cs.CV]MT3: Meta Test-Time Training for Self-Supervised Test-Time Adaption
    • [cs.CV]Multi-View Radar Semantic Segmentation
    • [cs.CV]Multi-modal Trajectory Prediction for Autonomous Driving with Semantic Map and Dynamic Graph Attention Network
    • [cs.CV]Noise-resistant Deep Metric Learning with Ranking-based Instance Selection
    • [cs.CV]Physics-based Differentiable Depth Sensor Simulation
    • [cs.CV]Pre-training strategies and datasets for facial representation learning
    • [cs.CV]Progressive Domain Expansion Network for Single Domain Generalization
    • [cs.CV]Progressively Complementary Network for Fisheye Image Rectification Using Appearance Flow
    • [cs.CV]Quantifying the Scanner-Induced Domain Gap in Mitosis Detection
    • [cs.CV]Read and Attend: Temporal Localisation in Sign Language Videos
    • [cs.CV]Recognizing Actions in Videos from Unseen Viewpoints
    • [cs.CV]Repopulating Street Scenes
    • [cs.CV]Rethinking Spatial Dimensions of Vision Transformers
    • [cs.CV]Revisiting Deep Local Descriptor for Improved Few-Shot Classification
    • [cs.CV]Robust Audio-Visual Instance Discrimination
    • [cs.CV]SD-6DoF-ICLK: Sparse and Deep Inverse Compositional Lucas-Kanade Algorithm on SE(3)
    • [cs.CV]SIMstack: A Generative Shape and Instance Model for Unordered Object Stacks
    • [cs.CV]SPatchGAN: A Statistical Feature Based Discriminator for Unsupervised Image-to-Image Translation
    • [cs.CV]Self-Guided and Cross-Guided Learning for Few-Shot Segmentation
    • [cs.CV]Self-supervised Image-text Pre-training With Mixed Data In Chest X-rays
    • [cs.CV]Sign Language Production: A Review
    • [cs.CV]Single Test Image-Based Automated Machine Learning System for Distinguishing between Trait and Diseased Blood Samples
    • [cs.CV]Source-Free Domain Adaptation for Semantic Segmentation
    • [cs.CV]Spatiotemporal Transformer for Video-based Person Re-identification
    • [cs.CV]Tasting the cake: evaluating self-supervised generalization on out-of-distribution multimodal MRI data
    • [cs.CV]Temporal Memory Relation Network for Workflow Recognition from Surgical Video
    • [cs.CV]The Elastic Lottery Ticket Hypothesis
    • [cs.CV]Thinking Fast and Slow: Efficient Text-to-Visual Retrieval with Transformers
    • [cs.CV]TrafficQA: A Question Answering Benchmark and an Efficient Network for Video Reasoning over Traffic Events
    • [cs.CV]TransFill: Reference-guided Image Inpainting by Merging Multiple Color and Spatial Transformations
    • [cs.CV]Two-Stage Monte Carlo Denoising with Adaptive Sampling and Kernel Pool
    • [cs.CV]Unsupervised Learning of 3D Object Categories from Videos in the Wild
    • [cs.CV]Using Low-rank Representation of Abundance Maps and Nonnegative Tensor Factorization for Hyperspectral Nonlinear Unmixing
    • [cs.CV]Visual Room Rearrangement
    • [cs.CV]Weakly Supervised Temporal Action Localization Through Learning Explicit Subspaces for Action and Context
    • [cs.CV]What Causes Optical Flow Networks to be Vulnerable to Physical Adversarial Attacks
    • [cs.CV]XVFI: eXtreme Video Frame Interpolation
    • [cs.CY]A Survey of Operations Research and Analytics Literature Related to Anti-Human Trafficking
    • [cs.CY]Privacidade digital como direito do cidadao: o caso dos grupos indigenas do Brasil
    • [cs.DB]A Novel Approach to Detect Redundant Activity Labels For More Representative Event Logs
    • [cs.DB]Production Machine Learning Pipelines: Empirical Analysis and Optimization Opportunities
    • [cs.DC]Synch: A framework for concurrent data-structures and benchmarks
    • [cs.DC]cuConv: A CUDA Implementation of Convolution for CNN Inference
    • [cs.DS]The randomized local computation complexity of the Lovász local lemma
    • [cs.GR]Foveated Neural Radiance Fields for Real-Time and Egocentric Virtual Reality
    • [cs.HC]An Overview of Human Activity Recognition Using Wearable Sensors: Healthcare and Artificial Intelligence
    • [cs.HC]HapTable: An Interactive Tabletop Providing Online Haptic Feedback for Touch Gestures
    • [cs.IR]Local Collaborative Autoencoders
    • [cs.IR]Session-aware Linear Item-Item Models for Session-based Recommendation
    • [cs.IR]TREC 2020 Podcasts Track Overview
    • [cs.IT]Decoding Orders and Power Allocation for Untrusted NOMA: A Secrecy Perspective
    • [cs.IT]Decoding Orders for Securing Untrusted NOMA
    • [cs.IT]Generalized 今日学术视野(2021.4.1) - 图1-weights and 今日学术视野(2021.4.1) - 图2-MDS Codes
    • [cs.IT]Joint Nonanticipative Rate Distortion Function for a Tuple of Random Processes with Individual Fidelity Criteria
    • [cs.IT]Online Energy Minimization Under A Peak Age of Information Constraint
    • [cs.IT]Secrecy Fairness Aware NOMA for Untrusted Users
    • [cs.IT]Symbiotic Communications: Where Marconi Meets Darwin
    • [cs.LG]1-Bit Compressive Sensing for Efficient Federated Learning Over the Air
    • [cs.LG]A Dynamic Battery State-of-Health Forecasting Model for Electric Trucks: Li-Ion Batteries Case-Study
    • [cs.LG]A resource-efficient method for repeated HPO and NAS problems
    • [cs.LG]Augmenting Automated Game Testing with Deep Reinforcement Learning
    • [cs.LG]Automatic Graph Partitioning for Very Large-scale Deep Learning
    • [cs.LG]Certifiably-Robust Federated Adversarial Learning via Randomized Smoothing
    • [cs.LG]Classifying the Unstructured IT Service Desk Tickets Using Ensemble of Classifiers
    • [cs.LG]Conditional Meta-Learning of Linear Representations
    • [cs.LG]Convolutional Neural Networks for Sleep Stage Scoring on a Two-Channel EEG Signal
    • [cs.LG]Deep Compression for PyTorch Model Deployment on Microcontrollers
    • [cs.LG]Distilled Replay: Overcoming Forgetting through Synthetic Samples
    • [cs.LG]Elvet — a neural network-based differential equation and variational problem solver
    • [cs.LG]End-to-End Constrained Optimization Learning: A Survey
    • [cs.LG]EnergyVis: Interactively Tracking and Exploring Energy Consumption for ML Models
    • [cs.LG]Entity Context Graph: Learning Entity Representations fromSemi-Structured Textual Sources on the Web
    • [cs.LG]FaiR-IoT: Fairness-aware Human-in-the-Loop Reinforcement Learning for Harnessing Human Variability in Personalized IoT
    • [cs.LG]Federated Learning with Taskonomy for Non-IID Data
    • [cs.LG]Generalized Linear Tree Space Nearest Neighbor
    • [cs.LG]Geometry of Program Synthesis
    • [cs.LG]Graph Intention Network for Click-through Rate Prediction in Sponsored Search
    • [cs.LG]Greedy-GQ with Variance Reduction: Finite-time Analysis and Improved Complexity
    • [cs.LG]High-Dimensional Bayesian Optimization with Multi-Task Learning for RocksDB
    • [cs.LG]Historical Inertia: An Ignored but Powerful Baseline for Long Sequence Time-series Forecasting
    • [cs.LG]Human Activity Analysis and Recognition from Smartphones using Machine Learning Techniques
    • [cs.LG]Learning Under Adversarial and Interventional Shifts
    • [cs.LG]LemgoRL: An open-source Benchmark Tool to Train Reinforcement Learning Agents for Traffic Signal Control in a real-world simulation scenario
    • [cs.LG]Leveraging a Joint of Phenotypic and Genetic Features on Cancer Patient Subgrouping
    • [cs.LG]Minimum complexity interpolation in random features models
    • [cs.LG]Model-Contrastive Federated Learning
    • [cs.LG]Modeling Graph Node Correlations with Neighbor Mixture Models
    • [cs.LG]Multilayer Graph Clustering with Optimized Node Embedding
    • [cs.LG]Neural Transformation Learning for Deep Anomaly Detection Beyond Images
    • [cs.LG]Nonlinear Weighted Directed Acyclic Graph and A Priori Estimates for Neural Networks
    • [cs.LG]Optimal Stochastic Nonconvex Optimization with Bandit Feedback
    • [cs.LG]PLAN-B: Predicting Likely Alternative Next Best Sequences for Action Prediction
    • [cs.LG]PointBA: Towards Backdoor Attacks in 3D Point Cloud
    • [cs.LG]Predicting Landfall’s Location and Time of a Tropical Cyclone Using Reanalysis Data
    • [cs.LG]Prediction of Landfall Intensity, Location, and Time of a Tropical Cyclone
    • [cs.LG]Private Non-smooth Empirical Risk Minimization and Stochastic Convex Optimization in Subquadratic Steps
    • [cs.LG]Product Inspection Methodology via Deep Learning: An Overview
    • [cs.LG]Shaping Advice in Deep Multi-Agent Reinforcement Learning
    • [cs.LG]Strong Optimal Classification Trees
    • [cs.LG]Theory-Guided Machine Learning for Process Simulation of Advanced Composites
    • [cs.LG]Thermal Neural Networks: Lumped-Parameter Thermal Modeling With State-Space Machine Learning
    • [cs.LG]Training Sparse Neural Network by Constraining Synaptic Weight on Unit Lp Sphere
    • [cs.LG]Unsupervised Hyperbolic Representation Learning via Message Passing Auto-Encoders
    • [cs.LG]Variational models for signal processing with Graph Neural Networks
    • [cs.LG]Wave based damage detection in solid structures using artificial neural networks
    • [cs.LG][Reproducibility Report] Rigging the Lottery: Making All Tickets Winners
    • [cs.LG]iVPF: Numerical Invertible Volume Preserving Flow for Efficient Lossless Compression
    • [cs.NI]E-GraphSAGE: A Graph Neural Network based Intrusion Detection System
    • [cs.NI]Exploring Edge TPU for Network Intrusion Detection in IoT
    • [cs.RO]6-DoF Contrastive Grasp Proposal Network
    • [cs.RO]A new line-symmetric mobile infinity-pod
    • [cs.RO]A tutorial on 今日学术视野(2021.4.1) - 图3#card=math&code=%5Cmathbf%7BSE%7D%283%29) transformation parameterizations and on-manifold optimization
    • [cs.RO]Dense Incremental Metric-Semantic Mapping for Multi-Agent Systems via Sparse Gaussian Process Regression
    • [cs.RO]Detecting and Mapping Trees in Unstructured Environments with a Stereo Camera and Pseudo-Lidar
    • [cs.RO]Dynamic Autonomous Surface Vehicle Control and Applications in Environmental Monitoring
    • [cs.RO]Fast and Feature-Complete Differentiable Physics for Articulated Rigid Bodies with Contact
    • [cs.RO]Inferring the Geometric Nullspace of Robot Skills from Human Demonstrations
    • [cs.RO]Investigation of Multiple Resource Theory Design Principles on Robot Teleoperation and Workload Management
    • [cs.RO]LASER: Learning a Latent Action Space for Efficient Reinforcement Learning
    • [cs.RO]Learning Deep Neural Policies with Stability Guarantees
    • [cs.RO]Linear time DBSCAN for sorted 1D data and laser range scan segmentation
    • [cs.RO]Mechanical design and fabrication of a kinetic sculpture with application to bioinspired drone design
    • [cs.RO]Orientation stabilization in a bioinspired bat-robot using integrated mechanical intelligence and control
    • [cs.RO]Reconstructing Interactive 3D Scenes by Panoptic Mapping and CAD Model Alignments
    • [cs.RO]Rough-Terrain Locomotion and Unilateral Contact Force Regulations With a Multi-Modal Legged Robot
    • [cs.RO]The Matter of Time — A General and Efficient System for Precise Sensor Synchronization in Robotic Computing
    • [cs.RO]User profile-driven large-scale multi-agent learning from demonstration in federated human-robot collaborative environments
    • [cs.SD]Environmental sound analysis with mixup based multitask learning and cross-task fusion
    • [cs.SD]Symbolic Music Generation with Diffusion Models
    • [cs.SD]Time-domain Speech Enhancement with Generative Adversarial Learning
    • [cs.SI]COVID-19 UK Social Media Dataset for Public Health Research: Methodology for Collection and Processing
    • [cs.SI]Collaborative Innovation, Collaborative Capabilities and Value Co-creation in an Industry 4.0 Context: An Empirical Evidence
    • [cs.SI]Industry 4.0 in Finland: Towards Twin Transition
    • [cs.SI]Stakeholders interdependencies and their role in sustainable business model innovation
    • [eess.IV]Adversarially learned iterative reconstruction for imaging inverse problems
    • [eess.IV]Assessing the Role of Random Forests in Medical Image Segmentation
    • [eess.IV]Automatic airway segmentation from Computed Tomography using robust and efficient 3-D convolutional neural networks
    • [eess.IV]DualNorm-UNet: Incorporating Global and Local Statistics for Robust Medical Image Segmentation
    • [eess.IV]Is Image-to-Image Translation the Panacea for Multimodal Image Registration? A Comparative Study
    • [eess.IV]Iterative Gradient Encoding Network with Feature Co-Occurrence Loss for Single Image Reflection Removal
    • [eess.IV]Machine learning method for light field refocusing
    • [eess.SP]Collaborative Cloud and Edge Mobile Computing in C-RAN Systems with Minimal End-to-End Latency
    • [eess.SP]Symbol-Level Precoding Through the Lens of Zero Forcing and Vector Perturbation
    • [eess.SY]Event-Triggered Safety-Critical Control for Systems with Unknown Dynamics
    • [eess.SY]Model-Based Safe Policy Search from Signal Temporal Logic Specifications Using Recurrent Neural Networks
    • [eess.SY]Modelling and Control of a Knuckle Boom Crane
    • [eess.SY]Tuning of extended state observer with neural network-based control performance assessment
    • [math.OC]Saddle Point Optimization with Approximate Minimization Oracle
    • [math.OC]The Complexity of Nonconvex-Strongly-Concave Minimax Optimization
    • [math.ST]Stochastic Orderings of the Location-Scale Mixture of Elliptical Distribution
    • [nlin.AO]Detection of Functional Communities in Networks of Randomly Coupled Oscillators Using the Dynamic-Mode Decomposition
    • [physics.soc-ph]Cognitive networks identify the content of English and Italian popular posts about COVID-19 vaccines: Anticipation, logistics, conspiracy and loss of trust
    • [physics.soc-ph]Detecting informative higher-order interactions in statistically validated hypergraphs
    • [q-bio.QM]Integration of presence-only data from several sources. A case study on dolphins’ spatial distribution
    • [q-fin.PM]Robustifying Conditional Portfolio Decisions via Optimal Transport
    • [quant-ph]Reinforcement learning for optimization of variational quantum circuit architectures
    • [stat.AP]A database of travel-related behaviors and attitudes before, during, and after COVID-19 in the United States
    • [stat.AP]Gaussian Process for Tomography
    • [stat.AP]Selection of an engineering institution: Students perceptions of choice characteristics and suitability under the COVID-19 pandemic
    • [stat.AP]To aggregate or not to aggregate: Forecasting of finite autocorrelated demand
    • [stat.AP]U.S. Power Resilience for 2002—2017
    • [stat.CO]LASSO risk and phase transition under dependence
    • [stat.ME]A General Framework of Nonparametric Feature Selection in High-Dimensional Data
    • [stat.ME]A Tensor-EM Method for Large-Scale Latent Class Analysis with Clustering Consistency
    • [stat.ME]An Improved and Extended Bayesian Synthetic Control
    • [stat.ME]Analysis of the improved adaptive type-II progressive censoring based on competing risk data
    • [stat.ME]Controlling the False Discovery Rate in Structural
    53a4
    Sparsity: Split Knockoffs
    • [stat.ME]Landmarking 2.0: Bridging the gap between joint models and landmarking
    • [stat.ME]Model combinations through revised base-rates
    • [stat.ME]Model-based clustering of partial records
    • [stat.ME]Modelling Heterogeneity Using Bayesian Structured Sparsity
    • [stat.ME]Post-Processing of MCMC
    • [stat.ME]Scalable Statistical Inference of Photometric Redshift via Data Subsampling
    • [stat.ML]Restricted Boltzmann Machines as Models of Interacting Variables
    • [stat.ML]Structured Inverted-File k-Means Clustering for High-Dimensional Sparse Data

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

    • [cs.AI]AlphaEvolve: A Learning Framework to Discover Novel Alphas in Quantitative Investment
    Can Cui, Wei Wang, Meihui Zhang, Gang Chen, Zhaojing Luo, Beng Chin Ooi
    http://arxiv.org/abs/2103.16196v1

    • [cs.AI]Contracting and Involutive Negations of Probability Distributions
    Ildar Batyrshin
    http://arxiv.org/abs/2103.16176v1

    • [cs.AI]Flatland Competition 2020: MAPF and MARL for Efficient Train Coordination on a Grid World
    Florian Laurent, Manuel Schneider, Christian Scheller, Jeremy Watson, Jiaoyang Li, Zhe Chen, Yi Zheng, Shao-Hung Chan, Konstantin Makhnev, Oleg Svidchenko, Vladimir Egorov, Dmitry Ivanov, Aleksei Shpilman, Evgenija Spirovska, Oliver Tanevski, Aleksandar Nikov, Ramon Grunder, David Galevski, Jakov Mitrovski, Guillaume Sartoretti, Zhiyao Luo, Mehul Damani, Nilabha Bhattacharya, Shivam Agarwal, Adrian Egli, Erik Nygren, Sharada Mohanty
    http://arxiv.org/abs/2103.16511v1

    • [cs.AI]Platform for Situated Intelligence
    Dan Bohus, Sean Andrist, Ashley Feniello, Nick Saw, Mihai Jalobeanu, Patrick Sweeney, Anne Loomis Thompson, Eric Horvitz
    http://arxiv.org/abs/2103.15975v1

    • [cs.AI]Representation range needs for 16-bit neural network training
    Valentina Popescu, Abhinav Venigalla, Di Wu, Robert Schreiber
    http://arxiv.org/abs/2103.15940v1

    • [cs.AI]Towards Active Learning Based Smart Assistant for Manufacturing
    Patrik Zajec, Jože M. Rožanec, Inna Novalija, Blaž Fortuna, Dunja Mladenić, Klemen Kenda
    http://arxiv.org/abs/2103.16177v1

    • [cs.AI]pH-RL: A personalization architecture to bringreinforcement learning to health practice
    Ali el Hassouni, Mark Hoogendoorn, Marketa Ciharova, Annet Kleiboer, Khadicha Amarti, Vesa Muhonen, Heleen Riper, A. E. Eiben
    http://arxiv.org/abs/2103.15908v1

    • [cs.AR]Demonstrating Analog Inference on the BrainScaleS-2 Mobile System
    Yannik Stradmann, Sebastian Billaudelle, Oliver Breitwieser, Falk Leonard Ebert, Arne Emmel, Dan Husmann, Joscha Ilmberger, Eric Müller, Philipp Spilger, Johannes Weis, Johannes Schemmel
    http://arxiv.org/abs/2103.15960v1

    • [cs.CL]AfriKI: Machine-in-the-Loop Afrikaans Poetry Generation
    Imke van Heerden, Anil Bas
    http://arxiv.org/abs/2103.16190v1

    • [cs.CL]Auto Correcting in the Process of Translation — Multi-task Learning Improves Dialogue Machine Translation
    Tao Wang, Chengqi Zhao, Mingxuan Wang, Lei Li, Deyi Xiong
    http://arxiv.org/abs/2103.16189v1

    • [cs.CL]Contextual Text Embeddings for Twi
    Paul Azunre, Salomey Osei, Salomey Addo, Lawrence Asamoah Adu-Gyamfi, Stephen Moore, Bernard Adabankah, Bernard Opoku, Clara Asare-Nyarko, Samuel Nyarko, Cynthia Amoaba, Esther Dansoa Appiah, Felix Akwerh, Richard Nii Lante Lawson, Joel Budu, Emmanuel Debrah, Nana Boateng, Wisdom Ofori, Edwin Buabeng-Munkoh, Franklin Adjei, Isaac Kojo Essel Ampomah, Joseph Otoo, Reindorf Borkor, Standylove Birago Mensah, Lucien Mensah, Mark Amoako Marcel, Anokye Acheampong Amponsah, James Ben Hayfron-Acquah
    http://arxiv.org/abs/2103.15963v1

    • [cs.CL]Data Augmentation in a Hybrid Approach for Aspect-Based Sentiment Analysis
    Tomas Liesting, Flavius Frasincar, Maria Mihaela Trusca
    http://arxiv.org/abs/2103.15912v1

    • [cs.CL]Explaining a Neural Attention Model for Aspect-Based Sentiment Classification Using Diagnostic Classification
    Lisa Meijer, Flavius Frasincar, Maria Mihaela Trusca
    http://arxiv.org/abs/2103.15927v1

    • [cs.CL]Explaining the Road Not Taken
    Hua Shen, Ting-Hao ‘Kenneth’ Huang
    http://arxiv.org/abs/2103.14973v2

    • [cs.CL]Grounding Dialogue Systems via Knowledge Graph Aware Decoding with Pre-trained Transformers
    Debanjan Chaudhuri, Md Rashad Al Hasan Rony, Jens Lehmann
    http://arxiv.org/abs/2103.16289v1

    • [cs.CL]Grounding Open-Domain Instructions to Automate Web Support Tasks
    Nancy Xu, Sam Masling, Michael Du, Giovanni Campagna, Larry Heck, James Landay, Monica S Lam
    http://arxiv.org/abs/2103.16057v1

    • [cs.CL]Industry Scale Semi-Supervised Learning for Natural Language Understanding
    Luoxin Chen, Francisco Garcia, Varun Kumar, He Xie, Jianhua Lu
    http://arxiv.org/abs/2103.15871v1

    • [cs.CL]Locally-Contextual Nonlinear CRFs for Sequence Labeling
    Harshil Shah, Tim Xiao, David Barber
    http://arxiv.org/abs/2103.16210v1

    • [cs.CL]Put Chatbot into Its Interlocutor’s Shoes: New Framework to Learn Chatbot Responding with Intention
    Hsuan Su, Jiun-Hao Jhan, Fan-yun Sun, Sauray Sahay, Hung-yi Lee
    http://arxiv.org/abs/2103.16429v1

    • [cs.CL]Representing ELMo embeddings as two-dimensional text online
    Andrey Kutuzov, Elizaveta Kuzmenko
    http://arxiv.org/abs/2103.16414v1

    • [cs.CL]Text Normalization for Low-Resource Languages of Africa
    Andrew Zupon, Evan Crew, Sandy Ritchie
    http://arxiv.org/abs/2103.15845v1

    • [cs.CL]Transformer visualization via dictionary learning: contextualized embedding as a linear superposition of transformer factors
    Zeyu Yun, Yubei Chen, Bruno A Olshausen, Yann LeCun
    http://arxiv.org/abs/2103.15949v1

    • [cs.CL]Unsupervised Machine Translation On Dravidian Languages
    Sai Koneru, Danni Liu, Jan Niehues
    http://arxiv.org/abs/2103.15877v1

    • [cs.CL]XRJL-HKUST at SemEval-2021 Task 4: WordNet-Enhanced Dual Multi-head Co-Attention for Reading Comprehension of Abstract Meaning
    Yuxin Jiang, Ziyi Shou, Qijun Wang, Hao Wu, Fangzhen Lin
    http://arxiv.org/abs/2103.16102v1

    • [cs.CR]A Taxonomy of Cyber Defence Strategies Against False Data Attacks in Smart Grid
    Haftu Tasew Reda, Adnan Anwar, Abdun Naser Mahmood, Zahir Tari
    http://arxiv.org/abs/2103.16085v1

    • [cs.CR]Automating Defense Against Adversarial Attacks: Discovery of Vulnerabilities and Application of Multi-INT Imagery to Protect Deployed Models
    Josh Kalin, David Noever, Matthew Ciolino, Dominick Hambrick, Gerry Dozier
    http://arxiv.org/abs/2103.15897v1

    • [cs.CR]Early Detection of In-Memory Malicious Activity based on Run-time Environmental Features
    Dorel Yaffe, Danny Hendler
    http://arxiv.org/abs/2103.16029v1

    • [cs.CR]Enabling Homomorphically Encrypted Inference for Large DNN Models
    Guillermo Lloret-Talavera, Marc Jorda, Harald Servat, Fabian Boemer, Chetan Chauhan, Shigeki Tomishima, Nilesh N. Shah, Antonio J. Peña
    http://arxiv.org/abs/2103.16139v1

    • [cs.CR]Online Defense of Trojaned Models using Misattributions
    Panagiota Kiourti, Wenchao Li, Anirban Roy, Karan Sikka, Susmit Jha
    http://arxiv.org/abs/2103.15918v1

    • [cs.CR]Privacy and Trust Redefined in Federated Machine Learning
    Pavlos Papadopoulos, Will Abramson, Adam J. Hall, Nikolaos Pitropakis, William J. Buchanan
    http://arxiv.org/abs/2103.15753v2

    • [cs.CR]Twine: An Embedded Trusted Runtime for WebAssembly
    Jämes Ménétrey, Marcelo Pasin, Pascal Felber, Valerio Schiavoni
    http://arxiv.org/abs/2103.15860v1

    • [cs.CV]3D AffordanceNet: A Benchmark for Visual Object Affordance Understanding
    Shengheng Deng, Xun Xu, Chaozheng Wu, Ke Chen, Kui Jia
    http://arxiv.org/abs/2103.16397v1

    • [cs.CV]3D Human Pose and Shape Regression with Pyramidal Mesh Alignment Feedback Loop
    Hongwen Zhang, Yating Tian, Xinchi Zhou, Wanli Ouyang, Yebin Liu, Limin Wang, Zhenan Sun
    http://arxiv.org/abs/2103.16507v1

    • [cs.CV]3D-MAN: 3D Multi-frame Attention Network for Object Detection
    Zetong Yang, Yin Zhou, Zhifeng Chen, Jiquan Ngiam
    http://arxiv.org/abs/2103.16054v1

    • [cs.CV]A Multiplexed Network for End-to-End, Multilingual OCR
    Jing Huang, Guan Pang, Rama Kovvuri, Mandy Toh, Kevin J Liang, Praveen Krishnan, Xi Yin, Tal Hassner
    http://arxiv.org/abs/2103.15992v1

    • [cs.CV]A Simple Approach for Zero-Shot Learning based on Triplet Distribution Embeddings
    Vivek Chalumuri, Bac Nguyen
    http://arxiv.org/abs/2103.15939v1

    • [cs.CV]AGQA: A Benchmark for Compositional Spatio-Temporal Reasoning
    Madeleine Grunde-McLaughlin, Ranjay Krishna, Maneesh Agrawala
    http://arxiv.org/abs/2103.16002v1

    • [cs.CV]Active Learning for Deep Object Detection via Probabilistic Modeling
    Jiwoong Choi, Ismail Elezi, Hyuk-Jae Lee, Clement Farabet, Jose M. Alvarez
    http://arxiv.org/abs/2103.16130v1

    • [cs.CV]Adaptive Methods for Real-World Domain Generalization
    Abhimanyu Dubey, Vignesh Ramanathan, Alex Pentland, Dhruv Mahajan
    http://arxiv.org/abs/2103.15796v2

    • [cs.CV]Adaptive Pseudo-Label Refinement by Negative Ensemble Learning for Source-Free Unsupervised Domain Adaptation
    Waqar Ahmed, Pietro Morerio, Vittorio Murino
    http://arxiv.org/abs/2103.15973v1

    • [cs.CV]Assessing YOLACT++ for real time and robust instance segmentation of medical instruments in endoscopic procedures
    Juan Carlos Angeles Ceron, Leonardo Chang, Gilberto Ochoa-Ruiz, Sharib Ali
    http://arxiv.org/abs/2103.15997v1

    • [cs.CV]Augmented Transformer with Adaptive Graph for Temporal Action Proposal Generation
    Shuning Chang, Pichao Wang, Fan Wang, Hao Li, Jiashi Feng
    http://arxiv.org/abs/2103.16024v1

    • [cs.CV]Automated Cleanup of the ImageNet Dataset by Model Consensus, Explainability and Confident Learning
    Csaba Kertész
    http://arxiv.org/abs/2103.16324v1

    • [cs.CV]Beltrami Signature: A Novel Invariant 2D Shape Representation for Object Classification
    Chenran Lin, Lok Ming Lui
    http://arxiv.org/abs/2103.16411v1

    • [cs.CV]Benchmarking Representation Learning for Natural World Image Collections
    Grant Van Horn, Elijah Cole, Sara Beery, Kimberly Wilber, Serge Belongie, Oisin Mac Aodha
    http://arxiv.org/abs/2103.16483v1

    • [cs.CV]Bilevel Online Adaptation for Out-of-Domain Human Mesh Reconstruction
    Shanyan Guan, Jingwei Xu, Yunbo Wang, Bingbing Ni, Xiaokang Yang
    http://arxiv.org/abs/2103.16449v1

    • [cs.CV]Boundary IoU: Improving Object-Centric Image Segmentation Evaluation
    Bowen Cheng, Ross Girshick, Piotr Dollár, Alexander C. Berg, Alexander Kirillov
    http://arxiv.org/abs/2103.16562v1

    • [cs.CV]Broaden Your Views for Self-Supervised Video Learning
    Adrià Recasens, Pauline Luc, Jean-Baptiste Alayrac, Luyu Wang, Florian Strub, Corentin Tallec, Mateusz Malinowski, Viorica Patraucean, Florent Altché, Michal Valko, Jean-Bastien Grill, Aäron van den Oord, Andrew Zisserman
    http://arxiv.org/abs/2103.16559v1

    • [cs.CV]Causal Hidden Markov Model for Time Series Disease Forecasting
    Jing Li, Botong Wu, Xinwei Sun, Yizhou Wang
    http://arxiv.org/abs/2103.16391v1

    • [cs.CV]Class-Aware Robust Adversarial Training for Object Detection
    Pin-Chun Chen, Bo-Han Kung, Jun-Cheng Chen
    http://arxiv.org/abs/2103.16148v1

    • [cs.CV]CoLA: Weakly-Supervised Temporal Action Localization with Snippet Contrastive Learning
    Can Zhang, Meng Cao, Dongming Yang, Jie Chen, Yuexian Zou
    http://arxiv.org/abs/2103.16392v1

    • [cs.CV]Comparison of different convolutional neural network activa-tion functions and methods for building ensembles
    Loris Nanni, Gianluca Maguolo, Sheryl Brahnam, Michelangelo Paci
    http://arxiv.org/abs/2103.15898v1

    • [cs.CV]Context Modeling in 3D Human Pose Estimation: A Unified Perspective
    Xiaoxuan Ma, Jiajun Su, Chunyu Wang, Hai Ci, Yizhou Wang
    http://arxiv.org/abs/2103.15507v2

    • [cs.CV]Contrastive Embedding for Generalized Zero-Shot Learning
    Zongyan Han, Zhenyong Fu, Shuo Chen, Jian Yang
    http://arxiv.org/abs/2103.16173v1

    • [cs.CV]Data-Uncertainty Guided Multi-Phase Learning for Semi-Supervised Object Detection
    Zhenyu Wang, Yali Li, Ye Guo, Lu Fang, Shengjin Wang
    http://arxiv.org/abs/2103.16368v1

    • [cs.CV]Deep Gaussian Processes for Few-Shot Segmentation
    Joakim Johnander, Johan Edstedt, Martin Danelljan, Michael Felsberg, Fahad Shahbaz Khan
    http://arxiv.org/abs/2103.16549v1

    • [cs.CV]Deep Learning and Machine Vision for Food Processing: A Survey
    Lili Zhu, Petros Spachos, Erica Pensini, Konstantinos Plataniotis
    http://arxiv.org/abs/2103.16106v1

    • [cs.CV]Deep regression on manifolds: a 3D rotation case study
    Romain Brégier
    http://arxiv.org/abs/2103.16317v1

    • [cs.CV]DeepWORD: A GCN-based Approach for Owner-Member Relationship Detection in Autonomous Driving
    Zizhang Wu, Man Wang, Jason Wang, Wenkai Zhang, Muqing Fang, Tianhao Xu
    http://arxiv.org/abs/2103.16099v1

    • [cs.CV]Delving into Localization Errors for Monocular 3D Object Detection
    Xinzhu Ma, Yinmin Zhang, Dan Xu, Dongzhan Zhou, Shuai Yi, Haojie Li, Wanli Ouyang
    http://arxiv.org/abs/2103.16237v1

    • [cs.CV]Depth-conditioned Dynamic Message Propagation for Monocular 3D Object Detection
    Li Wang, Liang Du, Xiaoqing Ye, Yanwei Fu, Guodong Guo, Xiangyang Xue, Jianfeng Feng, Li Zhang
    http://arxiv.org/abs/2103.16470v1

    • [cs.CV]DiNTS: Differentiable Neural Network Topology Search for 3D Medical Image Segmentation
    Yufan He, Dong Yang, Holger Roth, Can Zhao, Daguang Xu
    http://arxiv.org/abs/2103.15954v1

    • [cs.CV]Diagnosing Vision-and-Language Navigation: What Really Matters
    Wanrong Zhu, Yuankai Qi, Pradyumna Narayana, Kazoo Sone, Sugato Basu, Xin Eric Wang, Qi Wu, Miguel Eckstein, William Yang Wang
    http://arxiv.org/abs/2103.16561v1

    • [cs.CV]Diagonal Attention and Style-based GAN for Content-Style Disentanglement in Image Generation and Translation
    Gihyun Kwon, Jong Chul Ye
    http://arxiv.org/abs/2103.16146v1

    • [cs.CV]Differentiable Drawing and Sketching
    Daniela Mihai, Jonathon Hare
    http://arxiv.org/abs/2103.16194v1

    • [cs.CV]Differentiable Network Adaption with Elastic Search Space
    Shaopeng Guo, Yujie Wang, Kun Yuan, Quanquan Li
    http://arxiv.org/abs/2103.16350v1

    • [cs.CV]Distribution Alignment: A Unified Framework for Long-tail Visual Recognition
    Songyang Zhang, Zeming Li, Shipeng Yan, Xuming He, Jian Sun
    http://arxiv.org/abs/2103.16370v1

    • [cs.CV]Does it work outside this benchmark? Introducing the Rigid Depth Constructor tool, depth validation dataset construction in rigid scenes for the masses
    Clément Pinard, Antoine Manzanera
    http://arxiv.org/abs/2103.15970v1

    • [cs.CV]Domain-robust VQA with diverse datasets and methods but no target labels
    Mingda Zhang, Tristan Maidment, Ahmad Diab, Adriana Kovashka, Rebecca Hwa
    http://arxiv.org/abs/2103.15974v1

    • [cs.CV]Dynamic Attention guided Multi-Trajectory Analysis for Single Object Tracking
    Xiao Wang, Zhe Chen, Jin Tang, Bin Luo, Yaowei Wang, Yonghong Tian, Feng Wu
    http://arxiv.org/abs/2103.16086v1

    • [cs.CV]Enabling Data Diversity: Efficient Automatic Augmentation via Regularized Adversarial Training
    Yunhe Gao, Zhiqiang Tang, Mu Zhou, Dimitris Metaxas
    http://arxiv.org/abs/2103.16493v1

    • [cs.CV]Endo-Depth-and-Motion: Localization and Reconstruction in Endoscopic Videos using Depth Networks and Photometric Constraints
    David Recasens, José Lamarca, José M. Fácil, J. M. M. Montiel, Javier Civera
    http://arxiv.org/abs/2103.16525v1

    • [cs.CV]FONTNET: On-Device Font Understanding and Prediction Pipeline
    Rakshith S, Rishabh Khurana, Vibhav Agarwal, Jayesh Rajkumar Vachhani, Guggilla Bhanodai
    http://arxiv.org/abs/2103.16150v1

    • [cs.CV]Face Forensics in the Wild
    Tianfei Zhou, Wenguan Wang, Zhiyuan Liang, Jianbing Shen
    http://arxiv.org/abs/2103.16076v1

    • [cs.CV]Fast and Accurate Normal Estimation for Point Cloud via Patch Stitching
    Jun Zhou, Wei Jin, Mingjie Wang, Xiuping Liu, Zhiyang Li, Zhaobin Liu
    http://arxiv.org/abs/2103.16066v1

    • [cs.CV]Flow-based Kernel Prior with Application to Blind Super-Resolution
    Jingyun Liang, Kai Zhang, Shuhang Gu, Luc Van Gool, Radu Timofte
    http://arxiv.org/abs/2103.15977v1

    • [cs.CV]Free-form Description Guided 3D Visual Graph Network for Object Grounding in Point Cloud
    Mingtao Feng, Zhen Li, Qi Li, Liang Zhang, XiangDong Zhang, Guangming Zhu, Hui Zhang, Yaonan Wang, Ajmal Mian
    http://arxiv.org/abs/2103.16381v1

    • [cs.CV]Fully Convolutional Scene Graph Generation
    Hengyue Liu, Ning Yan, Masood S. Mortazavi, Bir Bhanu
    http://arxiv.org/abs/2103.16083v1

    • [cs.CV]GNeRF: GAN-based Neural Radiance Field without Posed Camera
    Quan Meng, Anpei Chen, Haimin Luo, Minye Wu, Hao Su, Lan Xu, Xuming He, Jingyi Yu
    http://arxiv.org/abs/2103.15606v2

    • [cs.CV]Generalized Organ Segmentation by Imitating One-shot Reasoning using Anatomical Correlation
    Hong-Yu Zhou, Hualuo Liu, Shilei Cao, Dong Wei, Chixiang Lu, Yizhou Yu, Kai Ma, Yefeng Zheng
    http://arxiv.org/abs/2103.16344v1

    • [cs.CV]Graph Stacked Hourglass Networks for 3D Human Pose Estimation
    Tianhan Xu, Wataru Takano
    http://arxiv.org/abs/2103.16385v1

    • [cs.CV]Graph-based Facial Affect Analysis: A Review of Methods, Applications and Challenges
    Yang Liu, Jinzhao Zhou, Xin Li, Xingming Zhang, Guoying Zhao
    http://arxiv.org/abs/2103.15599v2

    • [cs.CV]Grounding Physical Concepts of Objects and Events Through Dynamic Visual Reasoning
    Zhenfang Chen, Jiayuan Mao, Jiajun Wu, Kwan-Yee Kenneth Wong, Joshua B. Tenenbaum, Chuang Gan
    http://arxiv.org/abs/2103.16564v1

    • [cs.CV]Head2HeadFS: Video-based Head Reenactment with Few-shot Learning
    Michail Christos Doukas, Mohammad Rami Koujan, Viktoriia Sharmanska, Stefanos Zafeiriou
    http://arxiv.org/abs/2103.16229v1

    • [cs.CV]High-fidelity Face Tracking for AR/VR via Deep Lighting Adaptation
    Lele Chen, Chen Cao, Fernando De la Torre, Jason Saragih, Chenliang Xu, Yaser Sheikh
    http://arxiv.org/abs/2103.15876v1

    • [cs.CV]ICE: Inter-instance Contrastive Encoding for Unsupervised Person Re-identification
    Hao Chen, Benoit Lagadec, Francois Bremond
    http://arxiv.org/abs/2103.16364v1

    • [cs.CV]Identity-Aware CycleGAN for Face Photo-Sketch Synthesis and Recognition
    Yuke Fang, Jiani Hu, Weihong Deng
    http://arxiv.org/abs/2103.16019v1

    • [cs.CV]Improving robustness against common corruptions with frequency biased models
    Tonmoy Saikia, Cordelia Schmid, Thomas Brox
    http://arxiv.org/abs/2103.16241v1

    • [cs.CV]In-Place Scene Labelling and Understanding with Implicit Scene Representation
    Shuaifeng Zhi, Tristan Laidlow, Stefan Leutenegger, Andrew J. Davison
    http://arxiv.org/abs/2103.15875v1

    • [cs.CV]Is segmentation uncertainty useful?
    Steffen Czolbe, Kasra Arnavaz, Oswin Krause, Aasa Feragen
    http://arxiv.org/abs/2103.16265v1

    • [cs.CV]Kaleido-BERT: Vision-Language Pre-training on Fashion Domain
    Mingchen Zhuge, Dehong Gao, Deng-Ping Fan, Linbo Jin, Ben Chen, Haoming Zhou, Minghui Qiu, Ling Shao
    http://arxiv.org/abs/2103.16110v1

    • [cs.CV]Large Scale Autonomous Driving Scenarios Clustering with Self-supervised Feature Extraction
    Jinxin Zhao, Jin Fang, Zhixian Ye, Liangjun Zhang
    http://arxiv.org/abs/2103.16101v1

    • [cs.CV]Large Scale Visual Food Recognition
    Weiqing Min, Zhiling Wang, Yuxin Liu, Mengjiang Luo, Liping Kang, Xiaoming Wei, Xiaolin Wei, Shuqiang Jiang
    http://arxiv.org/abs/2103.16107v1

    • [cs.CV]Learnable Graph Matching: Incorporating Graph Partitioning with Deep Feature Learning for Multiple Object Tracking
    Jiawei He, Zehao Huang, Naiyan Wang, Zhaoxiang Zhang
    http://arxiv.org/abs/2103.16178v1

    • [cs.CV]Learning Domain Invariant Representations for Generalizable Person Re-Identification
    Yi-Fan Zhang, Hanlin Zhang, Zhang Zhang, Da Li, Zhen Jia, Liang Wang, Tieniu Tan
    http://arxiv.org/abs/2103.15890v1

    • [cs.CV]Learning Parallel Dense Correspondence from Spatio-Temporal Descriptors for Efficient and Robust 4D Reconstruction
    Jiapeng Tang, Dan Xu, Kui Jia, Lei Zhang
    http://arxiv.org/abs/2103.16341v1

    • [cs.CV]Learning Representational Invariances for Data-Efficient Action Recognition
    Yuliang Zou, Jinwoo Choi, Qitong Wang, Jia-Bin Huang
    http://arxiv.org/abs/2103.16565v1

    • [cs.CV]Learning Target Candidate Association to Keep Track of What Not to Track
    Christoph Mayer, Martin Danelljan, Danda Pani Paudel, Luc Van Gool
    http://arxiv.org/abs/2103.16556v1

    • [cs.CV]Learning monocular 3D reconstruction of articulated categories from motion
    Filippos Kokkinos, Iasonas Kokkinos
    http://arxiv.org/abs/2103.16352v1

    • [cs.CV]Leveraging Self-Supervision for Cross-Domain Crowd Counting
    Weizhe Liu, Nikita Durasov, Pascal Fua
    http://arxiv.org/abs/2103.16291v1

    • [cs.CV]Locate then Segment: A Strong Pipeline for Referring Image Segmentation
    Ya Jing, Tao Kong, Wei Wang, Liang Wang, Lei Li, Tieniu Tan
    http://arxiv.org/abs/2103.16284v1

    • [cs.CV]MT3: Meta Test-Time Training for Self-Supervised Test-Time Adaption
    Alexander Bartler, Andre Bühler, Felix Wiewel, Mario Döbler, Bin Yang
    http://arxiv.org/abs/2103.16201v1

    • [cs.CV]Multi-View Radar Semantic Segmentation
    Arthur Ouaknine, Alasdair Newson, Patrick Pérez, Florence Tupin, Julien Rebut
    http://arxiv.org/abs/2103.16214v1

    • [cs.CV]Multi-modal Trajectory Prediction for Autonomous Driving with Semantic Map and Dynamic Graph Attention Network
    Bo Dong, Hao Liu, Yu Bai, Jinbiao Lin, Zhuoran Xu, Xinyu Xu, Qi Kong
    http://arxiv.org/abs/2103.16273v1

    • [cs.CV]Noise-resistant Deep Metric Learning with Ranking-based Instance Selection
    Chang Liu, Han Yu, Boyang Li, Zhiqi Shen, Zhanning Gao, Peiran Ren, Xuansong Xie, Lizhen Cui, Chunyan Miao
    http://arxiv.org/abs/2103.16047v1

    • [cs.CV]Physics-based Differentiable Depth Sensor Simulation
    Benjamin Planche, Rajat Vikram Singh
    http://arxiv.org/abs/2103.16563v1

    • [cs.CV]Pre-training strategies and datasets for facial representation learning
    Adrian Bulat, Shiyang Cheng, Jing Yang, Andrew Garbett, Enrique Sanchez, Georgios Tzimiropoulos
    http://arxiv.org/abs/2103.16554v1

    • [cs.CV]Progressive Domain Expansion Network for Single Domain Generalization
    Lei Li, Ke Gao, Juan Cao, Ziyao Huang, Yepeng Weng, Xiaoyue Mi, Zhengze Yu, Xiaoya Li, Boyang xia
    http://arxiv.org/abs/2103.16050v1

    • [cs.CV]Progressively Complementary Network for Fisheye Image Rectification Using Appearance Flow
    Shangrong Yang, Chunyu Lin, Kang Liao, Chunjie Zhang, Yao Zhao
    http://arxiv.org/abs/2103.16026v1

    • [cs.CV]Quantifying the Scanner-Induced Domain Gap in Mitosis Detection
    Marc Aubreville, Christof Bertram
    1000, Mitko Veta, Robert Klopfleisch, Nikolas Stathonikos, Katharina Breininger, Natalie ter Hoeve, Francesco Ciompi, Andreas Maier
    http://arxiv.org/abs/2103.16515v1

    • [cs.CV]Read and Attend: Temporal Localisation in Sign Language Videos
    Gül Varol, Liliane Momeni, Samuel Albanie, Triantafyllos Afouras, Andrew Zisserman
    http://arxiv.org/abs/2103.16481v1

    • [cs.CV]Recognizing Actions in Videos from Unseen Viewpoints
    AJ Piergiovanni, Michael S. Ryoo
    http://arxiv.org/abs/2103.16516v1

    • [cs.CV]Repopulating Street Scenes
    Yifan Wang, Andrew Liu, Richard Tucker, Jiajun Wu, Brian L. Curless, Steven M. Seitz, Noah Snavely
    http://arxiv.org/abs/2103.16183v1

    • [cs.CV]Rethinking Spatial Dimensions of Vision Transformers
    Byeongho Heo, Sangdoo Yun, Dongyoon Han, Sanghyuk Chun, Junsuk Choe, Seong Joon Oh
    http://arxiv.org/abs/2103.16302v1

    • [cs.CV]Revisiting Deep Local Descriptor for Improved Few-Shot Classification
    Jun He, Richang Hong, Xueliang Liu, Mingliang Xu, Meng Wang
    http://arxiv.org/abs/2103.16009v1

    • [cs.CV]Robust Audio-Visual Instance Discrimination
    Pedro Morgado, Ishan Misra, Nuno Vasconcelos
    http://arxiv.org/abs/2103.15916v1

    • [cs.CV]SD-6DoF-ICLK: Sparse and Deep Inverse Compositional Lucas-Kanade Algorithm on SE(3)
    Timo Hinzmann, Roland Siegwart
    http://arxiv.org/abs/2103.16528v1

    • [cs.CV]SIMstack: A Generative Shape and Instance Model for Unordered Object Stacks
    Zoe Landgraf, Raluca Scona, Tristan Laidlow, Stephen James, Stefan Leutenegger, Andrew J. Davison
    http://arxiv.org/abs/2103.16442v1

    • [cs.CV]SPatchGAN: A Statistical Feature Based Discriminator for Unsupervised Image-to-Image Translation
    Xuning Shao, Weidong Zhang
    http://arxiv.org/abs/2103.16219v1

    • [cs.CV]Self-Guided and Cross-Guided Learning for Few-Shot Segmentation
    Bingfeng Zhang, Jimin Xiao, Terry Qin
    http://arxiv.org/abs/2103.16129v1

    • [cs.CV]Self-supervised Image-text Pre-training With Mixed Data In Chest X-rays
    Xiaosong Wang, Ziyue Xu, Leo Tam, Dong Yang, Daguang Xu
    http://arxiv.org/abs/2103.16022v1

    • [cs.CV]Sign Language Production: A Review
    Razieh Rastgoo, Kourosh Kiani, Sergio Escalera, Mohammad Sabokrou
    http://arxiv.org/abs/2103.15910v1

    • [cs.CV]Single Test Image-Based Automated Machine Learning System for Distinguishing between Trait and Diseased Blood Samples
    Sahar A. Nasser, Debjani Paul, Suyash P. Awate
    http://arxiv.org/abs/2103.16285v1

    • [cs.CV]Source-Free Domain Adaptation for Semantic Segmentation
    Yuang Liu, Wei Zhang, Jun Wang
    http://arxiv.org/abs/2103.16372v1

    • [cs.CV]Spatiotemporal Transformer for Video-based Person Re-identification
    Tianyu Zhang, Longhui Wei, Lingxi Xie, Zijie Zhuang, Yongfei Zhang, Bo Li, Qi Tian
    http://arxiv.org/abs/2103.16469v1

    • [cs.CV]Tasting the cake: evaluating self-supervised generalization on out-of-distribution multimodal MRI data
    Alex Fedorov, Eloy Geenjaar, Lei Wu, Thomas P. DeRamus, Vince D. Calhoun, Sergey M. Plis
    http://arxiv.org/abs/2103.15914v1

    • [cs.CV]Temporal Memory Relation Network for Workflow Recognition from Surgical Video
    Yueming Jin, Yonghao Long, Cheng Chen, Zixu Zhao, Qi Dou, Pheng-Ann Heng
    http://arxiv.org/abs/2103.16327v1

    • [cs.CV]The Elastic Lottery Ticket Hypothesis
    Xiaohan Chen, Yu Cheng, Shuohang Wang, Zhe Gan, Jingjing Liu, Zhangyang Wang
    http://arxiv.org/abs/2103.16547v1

    • [cs.CV]Thinking Fast and Slow: Efficient Text-to-Visual Retrieval with Transformers
    Antoine Miech, Jean-Baptiste Alayrac, Ivan Laptev, Josef Sivic, Andrew Zisserman
    http://arxiv.org/abs/2103.16553v1

    • [cs.CV]TrafficQA: A Question Answering Benchmark and an Efficient Network for Video Reasoning over Traffic Events
    Li Xu, He Huang, Jun Liu
    http://arxiv.org/abs/2103.15538v2

    • [cs.CV]TransFill: Reference-guided Image Inpainting by Merging Multiple Color and Spatial Transformations
    Yuqian Zhou, Connelly Barnes, Eli Shechtman, Sohrab Amirghodsi
    http://arxiv.org/abs/2103.15982v1

    • [cs.CV]Two-Stage Monte Carlo Denoising with Adaptive Sampling and Kernel Pool
    Tiange Xiang, Hongliang Yuan, Haozhi Huang, Yujin Shi
    http://arxiv.org/abs/2103.16115v1

    • [cs.CV]Unsupervised Learning of 3D Object Categories from Videos in the Wild
    Philipp Henzler, Jeremy Reizenstein, Patrick Labatut, Roman Shapovalov, Tobias Ritschel, Andrea Vedaldi, David Novotny
    http://arxiv.org/abs/2103.16552v1

    • [cs.CV]Using Low-rank Representation of Abundance Maps and Nonnegative Tensor Factorization for Hyperspectral Nonlinear Unmixing
    Lianru Gao, Zhicheng Wang, Lina Zhuang, Haoyang Yu, Bing Zhang, Jocelyn Chanussot
    http://arxiv.org/abs/2103.16204v1

    • [cs.CV]Visual Room Rearrangement
    Luca Weihs, Matt Deitke, Aniruddha Kembhavi, Roozbeh Mottaghi
    http://arxiv.org/abs/2103.16544v1

    • [cs.CV]Weakly Supervised Temporal Action Localization Through Learning Explicit Subspaces for Action and Context
    Ziyi Liu, Le Wang, Wei Tang, Junsong Yuan, Nanning Zheng, Gang Hua
    http://arxiv.org/abs/2103.16155v1

    • [cs.CV]What Causes Optical Flow Networks to be Vulnerable to Physical Adversarial Attacks
    Simon Schrodi, Tonmoy Saikia, Thomas Brox
    http://arxiv.org/abs/2103.16255v1

    • [cs.CV]XVFI: eXtreme Video Frame Interpolation
    Hyeonjun Sim, Jihyong Oh, Munchurl Kim
    http://arxiv.org/abs/2103.16206v1

    • [cs.CY]A Survey of Operations Research and Analytics Literature Related to Anti-Human Trafficking
    Geri L. Dimas, Renata A. Konrad, Kayse Lee Maass, Andrew C. Trapp
    http://arxiv.org/abs/2103.16476v1

    • [cs.CY]Privacidade digital como direito do cidadao: o caso dos grupos indigenas do Brasil
    Yasodara Cordova
    http://arxiv.org/abs/2103.16455v1

    • [cs.DB]A Novel Approach to Detect Redundant Activity Labels For More Representative Event Logs
    Qifan Chen, Yang Lu, Charmaine Tam, Simon Poon
    http://arxiv.org/abs/2103.16061v1

    • [cs.DB]Production Machine Learning Pipelines: Empirical Analysis and Optimization Opportunities
    Doris Xin, Hui Miao, Aditya Parameswaran, Neoklis Polyzotis
    http://arxiv.org/abs/2103.16007v1

    • [cs.DC]Synch: A framework for concurrent data-structures and benchmarks
    Nikolaos D. Kallimanis
    http://arxiv.org/abs/2103.16182v1

    • [cs.DC]cuConv: A CUDA Implementation of Convolution for CNN Inference
    Marc Jordà, Pedro Valero-Lara, Antonio J. Peña
    http://arxiv.org/abs/2103.16234v1

    • [cs.DS]The randomized local computation complexity of the Lovász local lemma
    Sebastian Brandt, Christoph Grunau, Václav Rozhoň
    http://arxiv.org/abs/2103.16251v1

    • [cs.GR]Foveated Neural Radiance Fields for Real-Time and Egocentric Virtual Reality
    Nianchen Deng, Zhenyi He, Jiannan Ye, Praneeth Chakravarthula, Xubo Yang, Qi Sun
    http://arxiv.org/abs/2103.16365v1

    • [cs.HC]An Overview of Human Activity Recognition Using Wearable Sensors: Healthcare and Artificial Intelligence
    Rex Liu, Albara Ah Ramli, Huanle Zhang, Esha Datta, Xin Liu
    http://arxiv.org/abs/2103.15990v1

    • [cs.HC]HapTable: An Interactive Tabletop Providing Online Haptic Feedback for Touch Gestures
    Senem Ezgi Emgin, Amirreza Aghakhani, T. Metin Sezgin, Cagatay Basdogan
    http://arxiv.org/abs/2103.16510v1

    • [cs.IR]Local Collaborative Autoencoders
    Minjin Choi, Yoonki Jeong, Joonseok Lee, Jongwuk Lee
    http://arxiv.org/abs/2103.16103v1

    • [cs.IR]Session-aware Linear Item-Item Models for Session-based Recommendation
    Minijn Choi, jinhong Kim, Joonseok Lee, Hyunjung Shim, Jongwuk Lee
    http://arxiv.org/abs/2103.16104v1

    • [cs.IR]TREC 2020 Podcasts Track Overview
    Rosie Jones, Ben Carterette, Ann Clifton, Maria Eskevich, Gareth J. F. Jones, Jussi Karlgren, Aasish Pappu, Sravana Reddy, Yongze Yu
    http://arxiv.org/abs/2103.15953v1

    • [cs.IT]Decoding Orders and Power Allocation for Untrusted NOMA: A Secrecy Perspective
    Sapna Thapar, Deepak Mishra, Ravikant Saini
    http://arxiv.org/abs/2103.16503v1

    • [cs.IT]Decoding Orders for Securing Untrusted NOMA
    Sapna Thapar, Deepak Mishra, Ravikant Saini
    http://arxiv.org/abs/2103.16478v1

    • [cs.IT]Generalized 今日学术视野(2021.4.1) - 图4-weights and 今日学术视野(2021.4.1) - 图5-MDS Codes
    Xu Pan
    http://arxiv.org/abs/2103.16299v1

    • [cs.IT]Joint Nonanticipative Rate Distortion Function for a Tuple of Random Processes with Individual Fidelity Criteria
    Charalambos D. Charalambous, Evagoras Stylianou
    http://arxiv.org/abs/2103.15925v1

    • [cs.IT]Online Energy Minimization Under A Peak Age of Information Constraint
    Kumar Saurav, Rahul Vaze
    http://arxiv.org/abs/2103.16425v1

    • [cs.IT]Secrecy Fairness Aware NOMA for Untrusted Users
    Sapna Thapar, Deepak Mishra, Ravikant Saini
    http://arxiv.org/abs/2103.16463v1

    • [cs.IT]Symbiotic Communications: Where Marconi Meets Darwin
    Ying-Chang Liang, Ruizhe Long, Qianqian Zhang, Dusit Niyato
    http://arxiv.org/abs/2103.16142v1

    • [cs.LG]1-Bit Compressive Sensing for Efficient Federated Learning Over the Air
    Xin Fan, Yue Wang, Yan Huo, Zhi Tian
    http://arxiv.org/abs/2103.16055v1

    • [cs.LG]A Dynamic Battery State-of-Health Forecasting Model for Electric Trucks: Li-Ion Batteries Case-Study
    Matti Huotari, Shashank Arora, Avleen Malhi, Kary Främling
    http://arxiv.org/abs/2103.16280v1

    • [cs.LG]A resource-efficient method for repeated HPO and NAS problems
    Giovanni Zappella, David Salinas, Cédric Archambeau
    http://arxiv.org/abs/2103.16111v1

    • [cs.LG]Augmenting Automated Game Testing with Deep Reinforcement Learning
    Joakim Bergdahl, Camilo Gordillo, Konrad Tollmar, Linus Gisslén
    http://arxiv.org/abs/2103.15819v1

    • [cs.LG]Automatic Graph Partitioning for Very Large-scale Deep Learning
    Masahiro Tanaka, Kenjiro Taura, Toshihiro Hanawa, Kentaro Torisawa
    http://arxiv.org/abs/2103.16063v1

    • [cs.LG]Certifiably-Robust Federated Adversarial Learning via Randomized Smoothing
    Cheng Chen, Bhavya Kailkhura, Ryan Goldhahn, Yi Zhou
    http://arxiv.org/abs/2103.16031v1

    • [cs.LG]Classifying the Unstructured IT Service Desk Tickets Using Ensemble of Classifiers
    Ramya C, Paramesh S. P, Dr. Shreedhara K S
    http://arxiv.org/abs/2103.15822v1

    • [cs.LG]Conditional Meta-Learning of Linear Representations
    Giulia Denevi, Massimiliano Pontil, Carlo Ciliberto
    http://arxiv.org/abs/2103.16277v1

    • [cs.LG]Convolutional Neural Networks for Sleep Stage Scoring on a Two-Channel EEG Signal
    Enrique Fernandez-Blanco, Daniel Rivero, Alejandro Pazos
    http://arxiv.org/abs/2103.16215v1

    • [cs.LG]Deep Compression for PyTorch Model Deployment on Microcontrollers
    Eren Dogan, H. Fatih Ugurdag, Hasan Unlu
    http://arxiv.org/abs/2103.15972v1

    • [cs.LG]Distilled Replay: Overcoming Forgetting through Synthetic Samples
    Andrea Rosasco, Antonio Carta, Andrea Cossu, Vincenzo Lomonaco, Davide Bacciu
    http://arxiv.org/abs/2103.15851v1

    • [cs.LG]Elvet — a neural network-based differential equation and variational problem solver
    Jack Y. Araz, Juan Carlos Criado, Michael Spannowsky
    http://arxiv.org/abs/2103.14575v2

    • [cs.LG]End-to-End Constrained Optimization Learning: A Survey
    James Kotary, Ferdinando Fioretto, Pascal Van Hentenryck, Bryan Wilder
    http://arxiv.org/abs/2103.16378v1

    • [cs.LG]EnergyVis: Interactively Tracking and Exploring Energy Consumption for ML Models
    Omar Shaikh, Jon Saad-Falcon, Austin P Wright, Nilaksh Das, Scott Freitas, Omar Isaac Asensio, Duen Horng Chau
    http://arxiv.org/abs/2103.16435v1

    • [cs.LG]Entity Context Graph: Learning Entity Representations fromSemi-Structured Textual Sources on the Web
    Kalpa Gunaratna, Yu Wang, Hongxia Jin
    http://arxiv.org/abs/2103.15950v1

    • [cs.LG]FaiR-IoT: Fairness-aware Human-in-the-Loop Reinforcement Learning for Harnessing Human Variability in Personalized IoT
    Salma Elmalaki
    http://arxiv.org/abs/2103.16033v1

    • [cs.LG]Federated Learning with Taskonomy for Non-IID Data
    Hadi Jamali-Rad, Mohammad Abdizadeh, Attila Szabo
    http://arxiv.org/abs/2103.15947v1

    • [cs.LG]Generalized Linear Tree Space Nearest Neighbor
    Michael Kim
    http://arxiv.org/abs/2103.16408v1

    • [cs.LG]Geometry of Program Synthesis
    James Clift, Daniel Murfet, James Wallbridge
    http://arxiv.org/abs/2103.16080v1

    • [cs.LG]Graph Intention Network for Click-through Rate Prediction in Sponsored Search
    Feng Li, Zhenrui Chen, Pengjie Wang, Yi Ren, Di Zhang, Xiaoyu Zhu
    http://arxiv.org/abs/2103.16164v1

    • [cs.LG]Greedy-GQ with Variance Reduction: Finite-time Analysis and Improved Complexity
    Shaocong Ma, Ziyi Chen, Yi Zhou, Shaofeng Zou
    http://arxiv.org/abs/2103.16377v1

    • [cs.LG]High-Dimensional Bayesian Optimization with Multi-Task Learning for RocksDB
    Sami Alabed, Eiko Yoneki
    http://arxiv.org/abs/2103.16267v1

    • [cs.LG]Historical Inertia: An Ignored but Powerful Baseline for Long Sequence Time-series Forecasting
    Yue Cui, Jiandong Xie, Kai Zheng
    http://arxiv.org/abs/2103.16349v1

    • [cs.LG]Human Activity Analysis and Recognition from Smartphones using Machine Learning Techniques
    Jakaria Rabbi, Md. Tahmid Hasan Fuad, Md. Abdul Awal
    http://arxiv.org/abs/2103.16490v1

    • [cs.LG]Learning Under Adversarial and Interventional Shifts
    Harvineet Singh, Shalmali Joshi, Finale Doshi-Velez, Himabindu Lakkaraju
    http://arxiv.org/abs/2103.15933v1

    • [cs.LG]LemgoRL: An open-source Benchmark Tool to Train Reinforcement Learning Agents for Traffic Signal Control in a real-world simulation scenario
    Arthur Müller, Vishal Rangras, Georg Schnittker, Michael Waldmann, Maxim Friesen, Tobias Ferfers, Lukas Schreckenberg, Florian Hufen, Jürgen Jasperneite, Marco Wiering
    http://arxiv.org/abs/2103.16223v1

    • [cs.LG]Leveraging a Joint of Phenotypic and Genetic Features on Cancer Patient Subgrouping
    David Oniani, Chen Wang, Yiqing Zhao, Andrew Wen, Hongfang Liu, Feichen Shen
    http://arxiv.org/abs/2103.16316v1

    • [cs.LG]Minimum complexity interpolation in random features models
    Michael Celentano, Theodor Misiakiewicz, Andrea Montanari
    http://arxiv.org/abs/2103.15996v1

    • [cs.LG]Model-Contrastive Federated Learning
    Qinbin Li, Bingsheng He, Dawn Song
    http://arxiv.org/abs/2103.16257v1

    • [cs.LG]Modeling Graph Node Correlations with Neighbor Mixture Models
    Linfeng Liu, Michael Hughes, Li-Ping Liu
    http://arxiv.org/abs/2103.15966v1

    • [cs.LG]Multilayer Graph Clustering with Optimized Node Embedding
    Mireille El Gheche, Pascal Frossard
    http://arxiv.org/abs/2103.16534v1

    • [cs.LG]Neural Transformation Learning for Deep Anomaly Detection Beyond Images
    Chen Qiu, Timo Pfrommer, Marius Kloft, Stephan Mandt, Maja Rudolph
    http://arxiv.org/abs/2103.16440v1

    • [cs.LG]Nonlinear Weighted Directed Acyclic Graph and A Priori Estimates for Neural Networks
    Yuqing Li, Tao Luo, Chao Ma
    http://arxiv.org/abs/2103.16355v1

    • [cs.LG]Optimal Stochastic Nonconvex Optimization with Bandit Feedback
    Puning Zhao, Lifeng Lai
    http://arxiv.org/abs/2103.16082v1

    • [cs.LG]PLAN-B: Predicting Likely Alternative Next Best Sequences for Action Prediction
    Dan Scarafoni, Irfan Essa, Thomas Ploetz
    http://arxiv.org/abs/2103.15987v1

    • [cs.LG]PointBA: Towards Backdoor Attacks in 3D Point Cloud
    Xinke Li, Zhiru Chen, Yue Zhao, Zekun Tong, Yabang Zhao, Andrew Lim, Joey Tianyi Zhou
    http://arxiv.org/abs/2103.16074v1

    • [cs.LG]Predicting Landfall’s Location and Time of a Tropical Cyclone Using Reanalysis Data
    Sandeep Kumar, Koushik Biswas, Ashish Kumar Pandey
    http://arxiv.org/abs/2103.16108v1

    • [cs.LG]Prediction of Landfall Intensity, Location, and Time of a Tropical Cyclone
    Sandeep Kumar, Koushik Biswas, Ashish Kumar Pandey
    http://arxiv.org/abs/2103.16180v1

    • [cs.LG]Private Non-smooth Empirical Risk Minimization and Stochastic Convex Optimization in Subquadratic Steps
    Janardhan Kulkarni, Yin Tat Lee, Daogao Liu
    http://arxiv.org/abs/2103.15352v2

    • [cs.LG]Product Inspection Methodology via Deep Learning: An Overview
    Tae-Hyun Kim, Hye-Rin Kim, Yeong-Jun Cho
    http://arxiv.org/abs/2103.16198v1

    • [cs.LG]Shaping Advice in Deep Multi-Agent Reinforcement Learning
    Baicen Xiao, Bhaskar Ramasubramanian, Radha Poovendran
    http://arxiv.org/abs/2103.15941v1

    • [cs.LG]Strong Optimal Classification Trees
    Sina Aghaei, Andrés Gómez, Phebe Vayanos
    http://arxiv.org/abs/2103.15965v1

    • [cs.LG]Theory-Guided Machine Learning for Process Simulation of Advanced Composites
    Navid Zobeiry, Anoush Poursartip
    http://arxiv.org/abs/2103.16010v1

    • [cs.LG]Thermal Neural Networks: Lumped-Parameter Thermal Modeling With State-Space Machine Learning
    Wilhelm Kirchgässner, Oliver Wallscheid, Joachim Böcker
    http://arxiv.org/abs/2103.16323v1

    • [cs.LG]Training Sparse Neural Network by Constraining Synaptic Weight on Unit Lp Sphere
    Weipeng Li, Xiaogang Yang, Chuanxiang Li, Ruitao Lu, Xueli Xie
    http://arxiv.org/abs/2103.16013v1

    • [cs.LG]Unsupervised Hyperbolic Representation Learning via Message Passing Auto-Encoders
    Jiwoong Park, Junho Cho, Hyung Jin Chang, Jin Young Choi
    http://arxiv.org/abs/2103.16046v1

    • [cs.LG]Variational models for signal processing with Graph Neural Networks
    Amitoz Azad, Julien Rabin, Abderrahim Elmoataz
    http://arxiv.org/abs/2103.16337v1

    • [cs.LG]Wave based damage detection in solid structures using artificial neural networks
    Frank Wuttke, Hao Lyu, Amir S. Sattari, Zarghaam H. Rizvi
    http://arxiv.org/abs/2103.16339v1

    • [cs.LG][Reproducibility Report] Rigging the Lottery: Making All Tickets Winners**
    Varun Sundar, Rajat Vadiraj Dwaraknath
    http://arxiv.org/abs/2103.15767v2

    • [cs.LG]iVPF: Numerical Invertible Volume Preserving Flow for Efficient Lossless Compression
    Shifeng Zhang, Chen Zhang, Ning Kang, Li Zhenguo
    http://arxiv.org/abs/2103.16211v1

    • [cs.NI]E-GraphSAGE: A Graph Neural Network based Intrusion Detection System
    Wai Weng Lo, Siamak Layeghy, Mohanad Sarhan, Marcus Gallagher, Marius Portmann
    http://arxiv.org/abs/2103.16329v1

    • [cs.NI]Exploring Edge TPU for Network Intrusion Detection in IoT
    Seyedehfaezeh Hosseininoorbin, Siamak Layeghy, Mohanad Sarhan, Raja Jurdak, Marius Portmann
    http://arxiv.org/abs/2103.16295v1

    • [cs.RO]6-DoF Contrastive Grasp Proposal Network
    Xinghao Zhu, Lingfeng Sun, Yongxiang Fan, Masayoshi Tomizuka
    http://arxiv.org/abs/2103.15995v1

    • [cs.RO]A new line-symmetric mobile infinity-pod
    Matteo Gallet, Josef Schicho
    http://arxiv.org/abs/2103.16472v1

    • [cs.RO]A tutorial on 今日学术视野(2021.4.1) - 图6#card=math&code=%5Cmathbf%7BSE%7D%283%29) transformation parameterizations and on-manifold optimization
    José Luis Blanco-Claraco
    http://arxiv.org/abs/2103.15980v1

    • [cs.RO]Dense Incremental Metric-Semantic Mapping for Multi-Agent Systems via Sparse Gaussian Process Regression
    Ehsan Zobeidi, Alec Koppel, Nikolay Atanasov
    http://arxiv.org/abs/2103.16170v1

    • [cs.RO]Detecting and Mapping Trees in Unstructured Environments with a Stereo Camera and Pseudo-Lidar
    Brian H. Wang, Carlos Diaz-Ruiz, Jacopo Banfi, Mark Campbell
    http://arxiv.org/abs/2103.15967v1

    • [cs.RO]Dynamic Autonomous Surface Vehicle Control and Applications in Environmental Monitoring
    Nare Karapetyan, Jason Moulton, Ioannis Rekleitis
    http://arxiv.org/abs/2103.15951v1

    • [cs.RO]Fast and Feature-Complete Differentiable Physics for Articulated Rigid Bodies with Contact
    Keenon Werling, Dalton Omens, Jeongseok Lee, Ionnis Exarchos, C. Karen Liu
    http://arxiv.org/abs/2103.16021v1

    • [cs.RO]Inferring the Geometric Nullspace of Robot Skills from Human Demonstrations
    Caixia Cai, Ying Siu Liang, Nikhil Somani, Wu Yan
    http://arxiv.org/abs/2103.16092v1

    • [cs.RO]Investigation of Multiple Resource Theory Design Principles on Robot Teleoperation and Workload Management
    Zhao Han, Adam Norton, Eric McCann, Lisa Baraniecki, Will Ober, Dave Shane, Anna Skinner, Holly A. Yanco
    http://arxiv.org/abs/2103.16427v1

    • [cs.RO]LASER: Learning a Latent Action Space for Efficient Reinforcement Learning
    Arthur Allshire, Roberto Martín-Martín, Charles Lin, Shawn Manuel, Silvio Savarese, Animesh Garg
    http://arxiv.org/abs/2103.15793v2

    • [cs.RO]Learning Deep Neural Policies with Stability Guarantees
    Shahbaz Abdul Khader, Hang Yin, Pietro Falco, Danica Kragic
    http://arxiv.org/abs/2103.16432v1

    • [cs.RO]Linear time DBSCAN for sorted 1D data and laser range scan segmentation
    Bartosz Meglicki
    http://arxiv.org/abs/2103.16245v1

    • [cs.RO]Mechanical design and fabrication of a kinetic sculpture with application to bioinspired drone design
    Andrew Lessieur, Eric Sihite, Pravin Dangol, Akshath Singhal, Alireza Ramezani
    http://arxiv.org/abs/2103.15948v1

    • [cs.RO]Orientation stabilization in a bioinspired bat-robot using integrated mechanical intelligence and control
    Eric Sihite, Andrew Lessieur, Pravin Dangol, Akshath Singhal, Alireza Ramezani
    http://arxiv.org/abs/2103.15943v1

    • [cs.RO]Reconstructing Interactive 3D Scenes by Panoptic Mapping and CAD Model Alignments
    Muzhi Han, Zeyu Zhang, Ziyuan Jiao, Xu Xie, Yixin Zhu, Song-Chun Zhu, Hangxin Liu
    http://arxiv.org/abs/2103.16095v1

    • [cs.RO]Rough-Terrain Locomotion and Unilateral Contact Force Regulations With a Multi-Modal Legged Robot
    Kaier Liang, Eric Sihite, Pravin Dangol, Andrew Lessieur, Alireza Ramezani
    http://arxiv.org/abs/2103.15952v1

    • [cs.RO]The Matter of Time — A General and Efficient System for Precise Sensor Synchronization in Robotic Computing
    Shaoshan Liu, Bo Yu, Yahui Liu, Kunai Zhang, Yisong Qiao, Thomas Yuang Li, Jie Tang, Yuhao Zhu
    http://arxiv.org/abs/2103.16045v1

    • [cs.RO]User profile-driven large-scale multi-agent learning from demonstration in federated human-robot collaborative environments
    Georgios Th. Papadopoulos, Asterios Leonidis, Margherita Antona, Constantine Stephanidis
    http://arxiv.org/abs/2103.16434v1

    • [cs.SD]Environmental sound analysis with mixup based multitask learning and cross-task fusion
    Weiping Zheng, Dacan Jiang, Gansen Zhao
    http://arxiv.org/abs/2103.16079v1

    • [cs.SD]Symbolic Music Generation with Diffusion Models
    Gautam Mittal, Jesse Engel, Curtis Hawthorne, Ian Simon
    http://arxiv.org/abs/2103.16091v1

    • [cs.SD]Time-domain Speech Enhancement with Generative Adversarial Learning
    Feiyang Xiao, Jian Guan, Qiuqiang Kong, Wenwu Wang
    http://arxiv.org/abs/2103.16149v1

    • [cs.SI]COVID-19 UK Social Media Dataset for Public Health Research: Methodology for Collection and Processing
    Richard Plant
    http://arxiv.org/abs/2103.16446v1

    • [cs.SI]Collaborative Innovation, Collaborative Capabilities and Value Co-creation in an Industry 4.0 Context: An Empirical Evidence
    Iqra Khan, Marko Jurmu, Marko Jurvansuu, Susanna Pirttikangas, Johan Lilius, Bogdan Iancu, Osmo Kauppila, Mikko Koho, Erno Marjakangas, Jukka Majava
    http://arxiv.org/abs/2103.16279v1

    • [cs.SI]Industry 4.0 in Finland: Towards Twin Transition
    Iqra Khan, Osmo Kauppilaa, Jukka Majava, Marko Jurmu, Jan Olaf Blech, Elina Annanperä, Marko Jurvansuu, Susanna Pirttikangas
    http://arxiv.org/abs/2103.16276v1

    • [cs.SI]Stakeholders interdependencies and their role in sustainable business model innovation
    Iqra Sadaf Khan, Jukka Majava
    http://arxiv.org/abs/2103.16281v1

    • [eess.IV]Adversarially learned iterative reconstruction for imaging inverse problems
    Subhadip Mukherjee, Ozan Öktem, Carola-Bibiane Schönlieb
    http://arxiv.org/abs/2103.16151v1

    • [eess.IV]Assessing the Role of Random Forests in Medical Image Segmentation
    Dennis Hartmann, Dominik Müller, Iñaki Soto-Rey, Frank Kramer
    http://arxiv.org/abs/2103.16492v1

    • [eess.IV]Automatic airway segmentation from Computed Tomography using robust and efficient 3-D convolutional neural networks
    A. Garcia-Uceda Juarez, R. Selvan, Z. Saghir, H. A. W. M. Tiddens, M. de Bruijne
    http://arxiv.org/abs/2103.16328v1

    • [eess.IV]DualNorm-UNet: Incorporating Global and Local Statistics for Robust Medical Image Segmentation
    Junfei Xiao, Lequan Yu, Lei Xing, Alan Yuille, Yuyin Zhou
    http://arxiv.org/abs/2103.15858v1

    • [eess.IV]Is Image-to-Image Translation the Panacea for Multimodal Image Registration? A Comparative Study
    Jiahao Lu, Johan Öfverstedt, Joakim Lindblad, Nataša Sladoje
    http://arxiv.org/abs/2103.16262v1

    • [eess.IV]Iterative Gradient Encoding Network with Feature Co-Occurrence Loss for Single Image Reflection Removal
    Sutanu Bera, Prabir Kumar Biswas
    http://arxiv.org/abs/2103.15903v1

    • [eess.IV]Machine learning method for light field refocusing
    Eisa Hedayati, Timothy C. Havens, Jeremy P. Bos
    http://arxiv.org/abs/2103.16020v1

    • [eess.SP]Collaborative Cloud and Edge Mobile Computing in C-RAN Systems with Minimal End-to-End Latency
    Seok-Hwan Park, Seongah Jeong, Jinyeop Na, Osvaldo Simeone, Shlomo Shamai
    http://arxiv.org/abs/2103.16188v1

    • [eess.SP]Symbol-Level Precoding Through the Lens of Zero Forcing and Vector Perturbation
    Yatao Liu, Mingjie Shao, Wing-Kin Ma, Qiang Li
    http://arxiv.org/abs/2103.16283v1

    • [eess.SY]Event-Triggered Safety-Critical Control for Systems with Unknown Dynamics
    Wei Xiao, Calin Belta, Christos G. Cassandras
    http://arxiv.org/abs/2103.15874v1

    • [eess.SY]Model-Based Safe Policy Search from Signal Temporal Logic Specifications Using Recurrent Neural Networks
    Wenliang Liu, Calin Belta
    http://arxiv.org/abs/2103.15938v1

    • [eess.SY]Modelling and Control of a Knuckle Boom Crane
    M. Ambrosino, E. Garone
    http://arxiv.org/abs/2103.16207v1

    • [eess.SY]Tuning of extended state observer with neural network-based control performance assessment
    Piotr Kicki, Krzysztof Łakomy, Ki Myung Brian Lee
    http://arxiv.org/abs/2103.15516v2

    • [math.OC]Saddle Point Optimization with Approximate Minimization Oracle
    Youhei Akimoto
    http://arxiv.org/abs/2103.15985v1

    • [math.OC]The Complexity of Nonconvex-Strongly-Concave Minimax Optimization
    Siqi Zhang, Junchi Yang, Cristóbal Guzmán, Negar Kiyavash, Niao He
    http://arxiv.org/abs/2103.15888v1

    • [math.ST]Stochastic Orderings of the Location-Scale Mixture of Elliptical Distribution
    Tong Pu, Chuancun Yin
    http://arxiv.org/abs/2103.16227v1

    • [nlin.AO]Detection of Functional Communities in Networks of Randomly Coupled Oscillators Using the Dynamic-Mode Decomposition
    Christopher W. Curtis, Mason A. Porter
    http://arxiv.org/abs/2103.14763v1

    • [physics.soc-ph]Cognitive networks identify the content of English and Italian popular posts about COVID-19 vaccines: Anticipation, logistics, conspiracy and loss of trust
    Massimo Stella, Michael S. Vitevitch, Federico Botta
    http://arxiv.org/abs/2103.15909v1

    • [physics.soc-ph]Detecting informative higher-order interactions in statistically validated hypergraphs
    Federico Musciotto, Federico Battiston, Rosario N. Mantegna
    http://arxiv.org/abs/2103.16484v1

    • [q-bio.QM]Integration of presence-only data from several sources. A case study on dolphins’ spatial distribution
    Sara Martino, Daniela Silvia Pace, Stefano Moro, Edoardo Casoli, Daniele Ventura, Alessandro Frachea, Margherita Silvestri, Antonella Arcangeli, Giancarlo Giacomini, Giandomenico Ardizzone, Giovanna Jona Lasinio
    http://arxiv.org/abs/2103.16125v1

    • [q-fin.PM]Robustifying Conditional Portfolio Decisions via Optimal Transport
    Viet Anh Nguyen, Fan Zhang, Jose Blanchet, Erick Delage, Yinyu Ye
    http://arxiv.org/abs/2103.16451v1

    • [quant-ph]Reinforcement learning for optimization of variational quantum circuit architectures
    Mateusz Ostaszewski, Lea M. Trenkwalder, Wojciech Masarczyk, Eleanor Scerri, Vedran Dunjko
    http://arxiv.org/abs/2103.16089v1

    • [stat.AP]A database of travel-related behaviors and attitudes before, during, and after COVID-19 in the United States
    Rishabh Singh Chauhan, Matthew Wigginton Conway, Denise Capasso da Silva, Deborah Salon, Ali Shamshiripour, Ehsan Rahimi, Sara Khoeini, Abolfazl, Mohammadian, Sybil Derrible, Ram Pendyala
    http://arxiv.org/abs/2103.16012v1

    • [stat.AP]Gaussian Process for Tomography
    Agnimitra Dasgupta, Carlo Graziani, Zichao Wendy Di
    http://arxiv.org/abs/2103.15864v1

    • [stat.AP]Selection of an engineering institution: Students perceptions of choice characteristics and suitability under the COVID-19 pandemic
    Prashant Mahajan
    http://arxiv.org/abs/2103.16192v1

    • [stat.AP]To aggregate or not to aggregate: Forecasting of finite autocorrelated demand
    Bahman Rostami-Tabar, Mohamed Zied Babai, Aris Syntetos
    http://arxiv.org/abs/2103.16310v1

    • [stat.AP]U.S. Power Resilience for 2002—2017
    Aman Ankit, Zhanlin Liu, Scott B. Miles, Youngjun Choe
    http://arxiv.org/abs/2103.15859v1

    • [stat.CO]LASSO risk and phase transition under dependence
    Hanwen Huang
    http://arxiv.org/abs/2103.16035v1

    • [stat.ME]A General Framework of Nonparametric Feature Selection in High-Dimensional Data
    Hang Yu, Yuanjia Wang, Donglin Zeng
    http://arxiv.org/abs/2103.16438v1

    • [stat.ME]A Tensor-EM Method for Large-Scale Latent Class Analysis with Clustering Consistency
    Zhenghao Zeng, Yuqi Gu, Gongjun Xu
    http://arxiv.org/abs/2103.16036v1

    • [stat.ME]An Improved and Extended Bayesian Synthetic Control
    Sean Pinkney
    http://arxiv.org/abs/2103.16244v1

    • [stat.ME]Analysis of the improved adaptive type-II progressive censoring based on competing risk data
    Subhankar Dutta, Suchandan Kayal
    http://arxiv.org/abs/2103.16128v1

    • [stat.ME]Controlling the False Discovery Rate in Structural
    53a4
    Sparsity: Split Knockoffs
    Yang Cao, Xinwei Sun, Yuan Yao
    http://arxiv.org/abs/2103.16159v1

    • [stat.ME]Landmarking 2.0: Bridging the gap between joint models and landmarking
    Hein Putter, Hans C. van Houwelingen
    http://arxiv.org/abs/2103.16252v1

    • [stat.ME]Model combinations through revised base-rates
    Fotios Petropoulos, Evangelos Spiliotis, Anastasios Panagiotelis
    http://arxiv.org/abs/2103.16157v1

    • [stat.ME]Model-based clustering of partial records
    Emily M. Goren, Ranjan Maitra
    http://arxiv.org/abs/2103.16336v1

    • [stat.ME]Modelling Heterogeneity Using Bayesian Structured Sparsity
    Max Goplerud
    http://arxiv.org/abs/2103.15919v1

    • [stat.ME]Post-Processing of MCMC
    Leah F. South, Marina Riabiz, Onur Teymur, Chris. J. Oates
    http://arxiv.org/abs/2103.16048v1

    • [stat.ME]Scalable Statistical Inference of Photometric Redshift via Data Subsampling
    Arindam Fadikar, Stefan M. Wild
    http://arxiv.org/abs/2103.16041v1

    • [stat.ML]Restricted Boltzmann Machines as Models of Interacting Variables
    Nicola Bulso, Yasser Roudi
    http://arxiv.org/abs/2103.15917v1

    • [stat.ML]Structured Inverted-File k-Means Clustering for High-Dimensional Sparse Data
    Kazuo Aoyama, Kazumi Saito
    http://arxiv.org/abs/2103.16141v1