astro-ph.CO - 宇宙学和天体物理学
cond-mat.dis-nn - 无序系统与神经网络 cs.AI - 人工智能 cs.AR - 硬件体系结构 cs.CG - 计算几何学 cs.CL - 计算与语言 cs.CR - 加密与安全 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.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.GT - 计算机科学与博弈论 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.MA - 多代理系统 cs.NE - 神经与进化计算 cs.NI - 网络和互联网体系结构 cs.RO - 机器人学 cs.SD - 声音处理 cs.SE - 软件工程 cs.SI - 社交网络与信息网络 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.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 physics.geo-ph - 地球物理学 q-bio.GN - 基因组学 q-bio.MN - 分子网络 q-bio.QM - 定量方法 quant-ph - 量子物理 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习
• [astro-ph.CO]On the accuracy and precision of correlation functions and field-level inference in cosmology
• [cond-mat.dis-nn]Stochasticity helps to navigate rough landscapes: comparing gradient-descent-based algorithms in the phase retrieval problem
• [cs.AI]A Study on Fairness and Trust Perceptions in Automated Decision Making
• [cs.AI]A Survey Of Embodied AI: From Simulator To Research Tasks
• [cs.AI]Counterfactuals and Causability in Explainable Artificial Intelligence: Theory, Algorithms, and Applications
• [cs.AI]Coverage based testing for V&V and Safety Assurance of Self-driving Autonomous Vehicles: A Systematic Literature Review
• [cs.AI]Discovering Diverse Multi-Agent Strategic Behavior via Reward Randomization
• [cs.AI]Injecting Knowledge in Data-driven Vehicle Trajectory Predictors
• [cs.AI]Learning Human Rewards by Inferring Their Latent Intelligence Levels in Multi-Agent Games: A Theory-of-Mind Approach with Application to Driving Data
• [cs.AI]Monte Carlo Tree Search: A Review on Recent Modifications and Applications
• [cs.AI]Testing Autonomous Systems with Believed Equivalence Refinement
• [cs.AR]F-CAD: A Framework to Explore Hardware Accelerators for Codec Avatar Decoding
• [cs.AR]Reliability-Aware Quantization for Anti-Aging NPUs
• [cs.AR]Scaling up HBM Efficiency of Top-K SpMV for Approximate Embedding Similarity on FPGAs
• [cs.CG]Classification of Higher Mobility Linkages
• [cs.CL]”Sharks are not the threat humans are”: Argument Component Segmentation in School Student Essays
• [cs.CL]A Framework for Measuring Compositional Inductive Bias
• [cs.CL]Automatic Difficulty Classification of Arabic Sentences
• [cs.CL]Changing the Narrative Perspective: From Deictic to Anaphoric Point of View
• [cs.CL]Empathetic BERT2BERT Conversational Model: Learning Arabic Language Generation with Little Data
• [cs.CL]Improving Text-to-SQL with Schema Dependency Learning
• [cs.CL]Improving Zero-Shot Entity Retrieval through Effective Dense Representations
• [cs.CL]InFillmore: Neural Frame Lexicalization for Narrative Text Infilling
• [cs.CL]Local word statistics affect reading times independently of surprisal
• [cs.CL]MCR-Net: A Multi-Step Co-Interactive Relation Network for Unanswerable Questions on Machine Reading Comprehension
• [cs.CL]MTLHealth: A Deep Learning System for Detecting Disturbing Contentin Student Essays
• [cs.CL]Orthogonal Attention: A Cloze-Style Approach to Negation Scope Resolution
• [cs.CL]Putting Humans in the Natural Language Processing Loop: A Survey
• [cs.CL]Semiotically-grounded distant viewing of diagrams: insights from two multimodal corpora
• [cs.CL]Syntax-BERT: Improving Pre-trained Transformers with Syntax Trees
• [cs.CL]Translating the Unseen? Yorùbá English MT in Low-Resource, Morphologically-Unmarked Settings
• [cs.CL]TypeShift: A User Interface for Visualizing the Typing Production Process
• [cs.CR]Bipartite secret sharing and staircases
• [cs.CR]Combining IOTA and Attribute-Based Encryption for Access Control in the Internet of Things
• [cs.CR]Deepfake Videos in the Wild: Analysis and Detection
• [cs.CR]Hidden Backdoor Attack against Semantic Segmentation Models
• [cs.CR]On an innovative architecture for digital immunity passports and vaccination certificates
• [cs.CR]Social Media Identity Deception Detection: A Survey
• [cs.CR]T-Miner: A Generative Approach to Defend Against Trojan Attacks on DNN-based Text Classification
• [cs.CR]Utilising Flow Aggregation to Classify Benign Imitating Attacks
• [cs.CV]A Real-time Low-cost Artificial Intelligence System for Autonomous Spraying in Palm Plantations
• [cs.CV]A Simple and Efficient Multi-task Network for 3D Object Detection and Road Understanding
• [cs.CV]ARVo: Learning All-Range Volumetric Correspondence for Video Deblurring
• [cs.CV]Adaptive Multi-Teacher Multi-level Knowledge Distillation
• [cs.CV]Analysis of Convolutional Decoder for Image Caption Generation
• [cs.CV]Automatic Flare Spot Artifact Detection and Removal in Photographs
• [cs.CV]Behavior-Driven Synthesis of Human Dynamics
• [cs.CV]Beyond Max-Margin: Class Margin Equilibrium for Few-shot Object Detection
• [cs.CV]Boosting Semi-supervised Image Segmentation with Global and Local Mutual Information Regularization
• [cs.CV]Bridging the Distribution Gap of Visible-Infrared Person Re-identification with Modality Batch Normalization
• [cs.CV]CRLF: Automatic Calibration and Refinement based on Line Feature for LiDAR and Camera in Road Scenes
• [cs.CV]CheXseen: Unseen Disease Detection for Deep Learning Interpretation of Chest X-rays
• [cs.CV]ClassSR: A General Framework to Accelerate Super-Resolution Networks by Data Characteristic
• [cs.CV]Consensus Maximisation Using Influences of Monotone Boolean Functions
• [cs.CV]Content-Based Detection of Temporal Metadata Manipulation
• [cs.CV]Data-driven Cloud Clustering via a Rotationally Invariant Autoencoder
• [cs.CV]Deep Gradient Projection Networks for Pan-sharpening
• [cs.CV]Deep Model Intellectual Property Protection via Deep Watermarking
• [cs.CV]Differentiable Multi-Granularity Human Representation Learning for Instance-Aware Human Semantic Parsing
• [cs.CV]Domain Adaptive Egocentric Person Re-identification
• [cs.CV]Domain Adaptive Robotic Gesture Recognition with Unsupervised Kinematic-Visual Data Alignment
• [cs.CV]Dual-Task Mutual Learning for Semi-Supervised Medical Image Segmentation
• [cs.CV]ERASOR: Egocentric Ratio of Pseudo Occupancy-based Dynamic Object Removal for Static 3D Point Cloud Map Building
• [cs.CV]End-to-End Human Object Interaction Detection with HOI Transformer
• [cs.CV]End-to-end optimized image compression for multiple machine tasks
• [cs.CV]Enhancing Transformation-based Defenses against Adversarial Examples with First-Order Perturbations
• [cs.CV]Estimating and Improving Fairness with Adversarial Learning
• [cs.CV]FEDS — Filtered Edit Distance Surrogate
• [cs.CV]FastFlowNet: A Lightweight Network for Fast Optical Flow Estimation
• [cs.CV]Fibrosis-Net: A Tailored Deep Convolutional Neural Network Design for Prediction of Pulmonary Fibrosis Progression from Chest CT Images
• [cs.CV]From Hand-Perspective Visual Information to Grasp Type Probabilities: Deep Learning via Ranking Labels
• [cs.CV]Fully Convolutional Geometric Features for Category-level Object Alignment
• [cs.CV]Greedy Hierarchical Variational Autoencoders for Large-Scale Video Prediction
• [cs.CV]Hierarchical Self Attention Based Autoencoder for Open-Set Human Activity Recognition
• [cs.CV]High Perceptual Quality Image Denoising with a Posterior Sampling CGAN
• [cs.CV]High-Resolution Segmentation of Tooth Root Fuzzy Edge Based on Polynomial Curve Fitting with Landmark Detection
• [cs.CV]IRON: Invariant-based Highly Robust Point Cloud Registration
• [cs.CV]Imbalance-Aware Self-Supervised Learning for 3D Radiomic Representations
• [cs.CV]Improving Automated Sonar Video Analysis to Notify About Jellyfish Blooms
• [cs.CV]Improving Global Adversarial Robustness Generalization With Adversarially Tra
1000
ined GAN
• [cs.CV]Incremental Learning for Multi-organ Segmentation with Partially Labeled Datasets
• [cs.CV]Indoor Future Person Localization from an Egocentric Wearable Camera
• [cs.CV]Interpretable Attention Guided Network for Fine-grained Visual Classification
• [cs.CV]Joint Noise-Tolerant Learning and Meta Camera Shift Adaptation for Unsupervised Person Re-Identification
• [cs.CV]Learn to Differ: Sim2Real Small Defection Segmentation Network
• [cs.CV]Learning Cycle-Consistent Cooperative Networks via Alternating MCMC Teaching for Unsupervised Cross-Domain Translation
• [cs.CV]Learning Statistical Texture for Semantic Segmentation
• [cs.CV]Learning from Counting: Leveraging Temporal Classification for Weakly Supervised Object Localization and Detection
• [cs.CV]Learning to Generate 3D Shapes with Generative Cellular Automata
• [cs.CV]Learning to Predict Vehicle Trajectories with Model-based Planning
• [cs.CV]Localization and Mapping using Instance-specific Mesh Models
• [cs.CV]LongReMix: Robust Learning with High Confidence Samples in a Noisy Label Environment
• [cs.CV]Look, Evolve and Mold: Learning 3D Shape Manifold via Single-view Synthetic Data
• [cs.CV]Machine-learning based methodologies for 3d x-ray measurement, characterization and optimization for buried structures in advanced ic packages
• [cs.CV]MeGA-CDA: Memory Guided Attention for Category-Aware Unsupervised Domain Adaptive Object Detection
• [cs.CV]Morphological Operation Residual Blocks: Enhancing 3D Morphological Feature Representation in Convolutional Neural Networks for Semantic Segmentation of Medical Images
• [cs.CV]Multi-Source Domain Adaptation with Collaborative Learning for Semantic Segmentation
• [cs.CV]Multimodal Representation Learning via Maximization of Local Mutual Information
• [cs.CV]NeRD: Neural Representation of Distribution for Medical Image Segmentation
• [cs.CV]Noisy Label Learning for Large-scale Medical Image Classification
• [cs.CV]On Implicit Attribute Localization for Generalized Zero-Shot Learning
• [cs.CV]One-Shot Medical Landmark Detection
• [cs.CV]PISE: Person Image Synthesis and Editing with Decoupled GAN
• [cs.CV]Panoptic Lintention Network: Towards Efficient Navigational Perception for the Visually Impaired
• [cs.CV]Parser-Free Virtual Try-on via Distilling Appearance Flows
• [cs.CV]Perception Framework through Real-Time Semantic Segmentation and Scene Recognition on a Wearable System for the Visually Impaired
• [cs.CV]Perspectives and Prospects on Transformer Architecture for Cross-Modal Tasks with Language and Vision
• [cs.CV]Pose Discrepancy Spatial Transformer Based Feature Disentangling for Partial Aspect Angles SAR Target Recognition
• [cs.CV]Predictive Visual Tracking: A New Benchmark and Baseline Approach
• [cs.CV]RFN-Nest: An end-to-end residual fusion network for infrared and visible images
• [cs.CV]Relationship-based Neural Baby Talk
• [cs.CV]Repurposing GANs for One-shot Semantic Part Segmentation
• [cs.CV]Robust Point Cloud Registration Framework Based on Deep Graph Matching
• [cs.CV]Robust Reflection Removal with Reflection-free Flash-only Cues
• [cs.CV]Self-Augmented Multi-Modal Feature Embedding
• [cs.CV]Semantic-aware Knowledge Distillation for Few-Shot Class-Incremental Learning
• [cs.CV]Semi-supervised Domain Adaptation based on Dual-level Domain Mixing for Semantic Segmentation
• [cs.CV]Simple online and real-time tracking with occlusion handling
• [cs.CV]Simultaneously Localize, Segment and Rank the Camouflaged Objects
• [cs.CV]Snapshot Compressive Imaging: Principle, Implementation, Theory, Algorithms and Applications
• [cs.CV]Spatial-Spectral Feedback Network for Super-Resolution of Hyperspectral Imagery
• [cs.CV]Student-Teacher Feature Pyramid Matching for Unsupervised Anomaly Detection
• [cs.CV]Synplex: A synthetic simulator of highly multiplexed histological images
• [cs.CV]The Weakly-Labeled Rand Index
• [cs.CV]Time and Frequency Network for Human Action Detection in Videos
• [cs.CV]TransBTS: Multimodal Brain Tumor Segmentation Using Transformer
• [cs.CV]U-DuDoNet: Unpaired dual-domain network for CT metal artifact reduction
• [cs.CV]Unified Batch All Triplet Loss for Visible-Infrared Person Re-identification
• [cs.CV]Unsupervised Object-Based Transition Models for 3D Partially Observable Environments
• [cs.CV]Unsupervised Person Re-Identification with Multi-Label Learning Guided Self-Paced Clustering
• [cs.CV]Unsupervised Pretraining for Object Detection by Patch Reidentification
• [cs.CV]Unveiling the Potential of Structure-Preserving for Weakly Supervised Object Localization
• [cs.CV]Virtual Normal: Enforcing Geometric Constraintsfor Accurate and Robust Depth Prediction
• [cs.CV]Watching You: Global-guided Reciprocal Learning for Video-based Person Re-identification
• [cs.CV]WebFace260M: A Benchmark Unveiling the Power of Million-Scale Deep Face Recognition
• [cs.CV]What If We Only Use Real Datasets for Scene Text Recognition? Toward Scene Text Recognition With Fewer Labels
• [cs.CV]You Only Learn Once: Universal Anatomical Landmark Detection
• [cs.CY]A Framework for Enabling Safe and Resilient Food Factories for the Public Feeding Programs
• [cs.CY]Differential Tracking Across Topical Webpages of Indian News Media
• [cs.CY]Make Your Autonomous Vehicle Deliver And Earn Money for You
• [cs.CY]Smart Speakers, the Next Frontier in Computational Health
• [cs.DB]The RLR-Tree: A Reinforcement Learning Based R-Tree for Spatial Data
• [cs.DC]A coordination-free, convergent, and safe replicated tree
• [cs.DC]AVEC: Accelerator Virtualization in Cloud-Edge Computing for Deep Learning Libraries
• [cs.DC]Blueprint: Cyberinfrastructure Center of Excellence
• [cs.DC]Bottlenecks in Blockchain Consensus Protocols
• [cs.DC]Checkpoint/Restart for Lagrangian particle mesh with AMR in community code FLASH-X
• [cs.DC]EVEREST: A design environment for extreme-scale big data analytics on heterogeneous platforms
• [cs.DC]Millions of 5-State n^3 Sequence Generators via Local Mappings
• [cs.DC]Threshold-based Network Structural Dynamics
• [cs.DC]Transparent Checkpointing for OpenGL Applications on GPUs
• [cs.DC]Why Do My Blockchain Transactions Fail? A Study of Hyperledger Fabric (Extended version)*
• [cs.DS]T-SCI: A Two-Stage Conformal Inference Algorithm with Guaranteed Coverage for Cox-MLP
• [cs.GT]Bandit Linear Optimization for Sequential Decision Making and Extensive-Form Games
• [cs.GT]Model-Free Online Learning in Unknown Sequential Decision Making Problems and Games
• [cs.HC]Exploring a Makeup Support System for Transgender Passing based on Automatic Gender Recognition
• [cs.IR]ReadNet: A Hierarchical Transformer Framework for Web Article Readability Analysis
• [cs.IR]RevDet: Robust and Memory Efficient Event Detection and Tracking in Large News Feeds
• [cs.IR]Semantic Models for the First-stage Retrieval: A Comprehensive Review
• [cs.IR]Usability Evaluation for Online Professional Search in the Dutch Archaeology Domain
• [cs.IT]Achievable rate-region for User Classical-Quantum Interference Channel using Structured Codes
• [cs.IT]Adaptive Coding for Matrix Multiplication at Edge Networks
• [cs.IT]Channel Estimation for Underwater Acoustic OFDM Communications: An Image Super-Resolution Approach
• [cs.IT]Dynamic Message Scheduling With Activity-Aware Residual Belief Propagation for Asynchronous mMTC Systems
• [cs.IT]Geometrical Representation for Number-theoretic Transforms
• [cs.IT]Intelligent Reflecting Surface Enhanced D2D Cooperative Computing
• [cs.IT]Inter-Carrier Interference Mitigation for Differentially Coherent Detection in Underwater Acoustic OFDM Systems
• [cs.IT]LCD Codes from tridiagonal Toeplitz matrice
• [cs.IT]Minimal Overhead ARQ Sharing Strategies for URLLC in Multi-Hop Networks
• [cs.IT]Over-the-Air Statistical Estimation
• [cs.IT]Reconfigurable Intelligent Surfaces for Rich Scattering Wireless Communications: Recent Experiments, Challenges, and Opportunities
• [cs.IT]Secrecy Energy Efficiency Maximization in IRS-Assisted Cognitive Radio System
• [cs.IT]Space—Time Codes from Sum-Rank Codes
• [cs.IT]Sparse Kronecker-Product Coding for Unsourced Multiple Access
• [cs.IT]Spatial Equalization Before Reception: Reconfigurable Intelligent Surfaces for Multi-path Mitigation
• [cs.IT]Uplink Power Control in Massive MIMO with Double Scattering Channels
• [cs.LG]A Comparative Approach to Explainable Artificial Intelligence Methods in Application to High-Dimensional Electronic Health Records: Examining the Usability of XAI
• [cs.LG]A Crash Course on Reinforcement Learning
• [cs.LG]A Lower Bound for the Sample Complexity of Inverse Reinforcement Learning
• [cs.LG]A Novel Perspective for Positive-Unlabeled Learning via Noisy Labels
• [cs.LG]A Taxonomy of Similarity Metrics for Markov Decision Processes
• [cs.LG]Adversarial Reinforcement Learning for Procedural Content Generation
• [cs.LG]An Energy-Saving Snake Locomotion Gait Policy Using Deep Reinforcement Learning
• [cs.LG]Anomaly Detection Based on Selection and Weighting in Latent Space
• [cs.LG]Approximation Algorithms for Active Sequential Hypothesis Testing
• [cs.LG]Auto-tuning of Deep Neural Networks by Conflicting Layer Removal
• [cs.LG]Automatic Cause Detection of Performance Problems in Web Applications
• [cs.LG]Behavior From the Void: Unsupervised Active Pre-Training
• [cs.LG]CORe: Capitalizing On Rewards in Bandit Exploration
• [cs.LG]Cluster-based Input Weight Initialization for Echo State Networks
• [cs.LG]Consistency Regularization for Adversarial Robustness
• [cs.LG]Contextual Dropout: An Efficient Sample-Dependent Dropout Module
• [cs.LG]Convolutional Graph-Tensor Net for Graph Data Completion
• [cs.LG]Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Models
• [cs.LG]Detecting Adversarial Examples from Sensitivity Inconsistency of Spatial-Transform Domain
• [cs.LG]Digital Beamforming Robust to Time-Varying Carrier Frequency Offset
• [cs.LG]Distributed Reinforcement Learning for Flexible and Efficient UAV Swarm Control
• [cs.LG]Efficient Algorithms for Finite Horizon and Streaming Restless Multi-Armed Bandit Problems
• [cs.LG]Efficient Continual Adaptation for Generative Adversarial Networks
• [cs.LG]Efficient Model Performance Estimation via Feature Histories
• [cs.LG]Empirical comparison between autoencoders and traditional dimensionality reduction methods
• [cs.LG]Exact Gap between Generalization Error and Uniform Convergence in Random Feature Models
• [cs.LG]Expert System Gradient Descent Style Training: Development of a Defensible Artificial Intelligence Technique
• [cs.LG]Fairness in TabNet Model by Disentangled Representation for the Prediction of Hospital No-Show
• [cs.LG]FedV: Privacy-Preserving Federated Learning over Vertically Partitioned Data
• [cs.LG]Graph Force Learning
• [cs.LG]Implementing graph neural networks with TensorFlow-Keras
• [cs.LG]Insta-RS: Instance-wise Randomized Smoothing for Improved Robustness and Accuracy
• [cs.LG]Instabilities of Offline RL with Pre-Trained Neural Representation
• [cs.LG]Learning Graph Neural Networks with Positive and Unlabeled Nodes
• [cs.LG]Learning to Continually Learn Rapidly from Few and Noisy Data
• [cs.LG]Learning to Represent and Predict Sets with Deep Neural Networks
• [cs.LG]Linear Regression over Networks with Communication Guarantees
• [cs.LG]Lipschitz Normalization for Self-Attention Layers with Application to Graph Neural Networks
• [cs.LG]Low-Rank Isomap Algorithm
• [cs.LG]Markov Cricket: Using Forward and Inverse Reinforcement Learning to Model, Predict And Optimize Batting Performance in One-Day International Cricket
• [cs.LG]Meta-Learning with MAML on Trees
• [cs.LG]Model-based versus Model-free Deep Reinforcement Learning for Autonomous Racing Cars
• [cs.LG]No Discounted-Regret Learning in Adversarial Bandits with Delays
• [cs.LG]Nondeterminism and Instability in Neural Network Optimization
• [cs.LG]Personalized Federated Learning using Hypernetworks
• [cs.LG]Predictive Coding Can Do Exact Backpropagation on Any Neural Network
• [cs.LG]Provably Efficient Cooperative Multi-Agent Reinforcement Learning with Function Approximation
• [cs.LG]PyRCN: Exploration and Application of ESNs
• [cs.LG]Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding
• [cs.LG]Real-world Ride-hailing Vehicle Repositioning using Deep Reinforcement Learning
• [cs.LG]Reinforcement Learning, Bit by Bit
• [cs.LG]Routing Towards Discriminative Power of Class Capsules
• [cs.LG]SCRIB: Set-classifier with Class-specific Risk Bounds for Blackbox Models
• [cs.LG]Self-Supervised Online Reward Shaping in Sparse-Reward Environments
• [cs.LG]Simplicial Complex Representation Learning
• [cs.LG]Spectral Tensor Train Parameterization of Deep Learning Layers
• [cs.LG]Tensor Laplacian Regularized Low-Rank Representation for Non-uniformly Distributed Data Subspace Clustering
• [cs.LG]The Automatic Quasi-clique Merger algorithm (AQCM)
• [cs.LG]The Effect of Q-function Reuse on the Total Regret of Tabular, Model-Free, Reinforcement Learning
• [cs.LG]Toward Semi-Automatic Misconception Discovery Using Code Embeddings
• [cs.LG]Vision-Based Mobile Robotics Obstacle Avoidance With Deep Reinforcement Learning
• [cs.LG]Visual Explanation using Attention Mechanism in Actor-Critic-based Deep Reinforcement Learning
• [cs.MA]Deep reinforcement learning models the emergent dynamics of human cooperation
• [cs.NE]Applying Machine Learning in Self-Adaptive Systems: A Systematic Literature Review
• [cs.NE]Convolution Neural Network Hyperparameter Optimization Using Simplified Swarm Optimization
• [cs.NI]An Energy Efficient Routing Algorithm for Wireless Sensor Networks Using Mobile Sensors
• [cs.NI]Joint Coding and Scheduling Optimization for Distributed Learning over Wireless Edge Networks
• [cs.RO]Adaptive Agent Architecture for Real-time Human-Agent Teaming
• [cs.RO]Adaptive Lidar Scan Frame Integration: Tracking Known MAVs in 3D Point Clouds
• [cs.RO]Adaptive-Control-Oriented Meta-Learning for Nonlinear Systems
• [cs.RO]Autonomous object harvesting using synchronized optoelectronic microrobots
• [cs.RO]Bipedal Humanoid Hardware Design: A Technology Review
• [cs.RO]Cascaded Filtering Using the Sigma Point Transformation (Extended Version)
• [cs.RO]Co-Designing Robots by Differentiating Motion Solvers
• [cs.RO]ColoRadar: The Direct 3D Millimeter Wave Radar Dataset
• [cs.RO]Comparing Popular Simulation Environments in the Scope of Robotics and Reinforcement Learning
• [cs.RO]Correct-by-Construction Navigation Functions with Application to Sensor Based Robot Navigation
• [cs.RO]DDGC: Generative Deep Dexterous Grasping in Clutter
• [cs.RO]Decentralized 2-Robot Transportation with Local and Indirect Sensing
• [cs.RO]Decision-Making under On-Ramp merge Scenarios by Distributional Soft Actor-Critic Algorithm
• [cs.RO]Design, Optimal Guidance and Control of a Low-cost Re-usable Electric Model Rocket
• [cs.RO]Developing a Data-Driven Categorical Taxonomy of Emotional Expressions in Real World Human Robot Interactions
• [cs.RO]Disambiguating Affective Stimulus Associations for Robot Perception and Dialogue
• [cs.RO]Dynamic Lambda-Field: A Counterpart of the Bayesian Occupancy Grid for Risk Assessment in Dynamic Environments
• [cs.RO]Dynamic Resource Management for Providing QoS in Drone Delivery Systems
• [cs.RO]Estimation of Spatially Correlated Ocean Currents from Ensemble Forecasts and Online Measurements
• [cs.RO]Exploiting Spherical Projections To Generate Human-Like Wrist Pointing Movements
• [cs.RO]GANav: Group-wise Attention Network for Classifying Navigable Regions in Unstructured Outdoor Environments
• [cs.RO]HANDS: A Multimodal Dataset for Modeling Towards Human Grasp Intent Inference in Prosthetic Hands
• [cs.RO]Human-Piloted Drone Racing: Visual Processing and Control
• [cs.RO]Iterative Program Synthesis for Adaptable Social Navigation
• [cs.RO]Learning Unstable Dynamics with One Minute of Data: A Differentiation-based Gaussian Process Approach
• [cs.RO]Learning When to Quit: Meta-Reasoning for Motion Planning
• [cs.RO]Learning a State Representation and Navigation in Cluttered and Dynamic Environments
• [cs.RO]Let’s be friends! A rapport-building 3D embodied conversational agent for the Human Support Robot
• [cs.RO]Loosely Synchronized Search for Multi-agent Path Finding with Asynchronous Actions
• [cs.RO]MetaView: Few-shot Active Object Recognition
• [cs.RO]Multimodal VAE Active Inference Controller
• [cs.RO]Omni-swarm: An Aerial Swarm System with Decentralized Omni-directional Visual-Inertial-UWB State Estimation
• [cs.RO]Rapidly-exploring Random Forest: Adaptively Exploits Local Structure with Generalised Multi-Trees Motion Planning
• [cs.RO]Robopheus: A Virtual-Physical Interactive Mobile Robotic Testbed
• [cs.RO]Robotic Visuomotor Control with Unsupervised Forward Model Learned from Videos
• [cs.RO]Scale invariant robot behavior with fractals
• [cs.RO]Show Me What You Can Do: Capability Calibration on Reachable Workspace for Human-Robot Collaboration
• [cs.RO]Sparsification for Fast Optimal Multi-Robot Path Planning in Lazy Compilation Schemes
• [cs.RO]Task-Specific Design Optimization and Fabrication for Inflated-Beam Soft Robots with Growable Discrete Joints
• [cs.RO]Tendon-Driven Soft Robotic Gripper for Berry Harvesting
• [cs.RO]Visualizing Robot Intent for Object Handovers with Augmented Reality
• [cs.RO]When Being Soft Makes You Tough: A Collision Resilient Quadcopter Inspired by Arthropod Exoskeletons
• [cs.SD]Analysis and Assessment of Controllability of an Expressive Deep Learning-based TTS system
• [cs.SE]Measuring Discrimination to Boost Comparative Testing for Multiple Deep Learning Models
• [cs.SE]The Prevalence of Code Smells in Machine Learning projects
• [cs.SE]Towards Human-Like Automated Test Generation: Perspectives from Cognition and Problem Solving
• [cs.SI]Estimating Community Feedback Effect on Topic Choice in Social Media with Predictive Modeling
• [cs.SI]Innovation adoption: Broadcasting vs. Virality
• [cs.SI]Network Representation Learning: From Traditional Feature Learning to Deep Learning
• [cs.SI]Networked partisanship and framing: a socio-semantic network analysis of the Italian debate on migration
• [cs.SI]Protect Against Unintentional Insider Threats: The risk of an employee’s cyber misconduct on a Social Media Site
• [cs.SI]The distance backbone of complex networks
• [econ.EM]Approximate Bayesian inference and forecasting in huge-dimensional multi-country VARs
• [econ.EM]The impact of online machine-learning methods on long-term investment decisions and generator utilization in electricity markets
• [eess.AS]Investigating on Incorporating Pretrained and Learnable Speaker Representations for Multi-Speaker Multi-Style Text-to-Speech
• [eess.IV]Graph-based Pyramid Global Context Reasoning with a Saliency-aware Projection for COVID-19 Lung Infections Segmentation
• [eess.IV]Memory-efficient Learning for High-Dimensional MRI Reconstruction
• [eess.IV]Multitasking Deep Learning Model for Detection of Five Stages of Diabetic Retinopathy
• [eess.SP]Risk Aware Optimization of Water Sensor Placement
• [eess.SP]Split Computing and Early Exiting for Deep Learning Applications: Survey and Research Challenges
• [eess.SP]Weather Analogs with a Machine Learning Similarity Metric for Renewable Resource Forecasting
• [eess.SY]Correlated Deep Q-learning based Microgrid Energy Management
• [math.OC]Escaping Saddle Points with Stochastically Controlled Stochastic Gradient Methods
• [math.OC]Gradient-augmented Supervised Learning of Optimal Feedback Laws Using State-dependent Riccati Equations
• [math.OC]Retrospective Approximation for Smooth Stochastic Optimization
• [math.PR]Statistical analysis of discretely sampled semilinear SPDEs: a power variation approach
• [math.ST]Different Estimation Procedures For Topp Leone Exponential And Topp Leone q Exponential Distruibution
• [math.ST]Euclidean Representation of Low-Rank Matrices and Its Statistical Applications
• [math.ST]Fairness seen as Global Sensitivity Analysis
• [math.ST]Large-Sample Properties of Blind Estimation of the Linear Discriminant Using Projection Pursuit
• [math.ST]Log-Chisquared P-values under Rare and Weak Departures
• [math.ST]Metropolis-Hastings via Classification
• [math.ST]Multilevel approximation of Gaussian random fields: Covariance compression, estimation and spatial prediction
• [physics.geo-ph]A novel approach to the classification of terrestrial drainage networks based on deep learning and preliminary results on Solar System bodies
• [q-bio.GN]RNA Alternative Splicing Prediction with Discrete Compositional Energy Network
• [q-bio.MN]Bio-JOIE: Joint Representation Learning of Biological Knowledge Bases
• [q-bio.QM]Molecular modeling with machine-learned universal potential functions
• [quant-ph]Detecting quantum entanglement with unsupervised learning
• [quant-ph]Quantum interpolating ensemble: Average entropies and orthogonal polynomials
• [quant-ph]The Hintons in your Neural Network: a Quantum Field Theory View of Deep Learning
• [stat.AP]A Review of Spatiotemporal Models for Count Data in R Packages. A Case Study of COVID-19 Data
• [stat.AP]A Statistical Perspective on the Challenges in Molecular Microbial Biology
• [stat.AP]Flexible marked spatio-temporal point processes with applications to event sequences from association football
• [stat.AP]Robust decision analysis under severe uncertainty and ambiguous tradeoffs: an invasive species case study
• [stat.AP]Traffic Flows Analysis in High-Speed Computer Networks Using Time Series
• [stat.AP]Trends in COVID-19 hospitalisations, outcomes and lengths of stay in England during 2020
• [stat.AP]visTree: Visualization of Subgroups for a Decision Tree
• [stat.ME]A reproducing kernel Hilbert space framework for functional data classification
• [stat.ME]Bayesian Doubly Robust Causal Inference via Loss Functions
• [stat.ME]Bayesian imaging using Plug & Play priors: when Langevin meets Tweedie
• [stat.ME]Causal Inference in the Time of Covid-19
• [stat.ME]DINA: Estimating Heterogenous Treatment Effects in Exponential Family and Cox Model
• [stat.ME]Discovering Multiple Phases of Dynamics by Dissecting Multivariate Time Series
• [stat.ME]Estimating intervention effects on infectious disease control: the effect of community mobility reduction on Coronavirus spread
• [stat.ME]Generalizing trial evidence to target populations in non-nested designs: Applications to AIDS clinical trials
• [stat.ME]Identifying Principal Stratum Causal Effects Conditional on a Post-treatment Intermediate Response
• [stat.ME]Improving Bayesian estimation of Vaccine Efficacy
• [stat.ME]On a log-symmetric quantile tobit model applied to female labor supply data
• [stat.ME]Randomization-based joint central limit theorem and efficient covariate adjustment in stratified factorial experiments
• [stat.ME]Risk Prediction with Imperfect Survival Outcome Information from Electronic Health Records
• [stat.ME]Transformed Fay-Herriot Model with Measurement Error in Covariates
• [stat.ML]Accumulations of Projections—A Unified Framework for Random Sketches in Kernel Ridge Regression
• [stat.ML]Asymptotics of Ridge Regression in Convolutional Models
• [stat.ML]Causal Reinforcement Learning: An Instrumental Variable Approach
• [stat.ML]Efficient Causal Inference from Combined Observational and Interventional Data through Causal Reductions
• [stat.ML]Hierarchical Causal Bandit
• [stat.ML]Low-Rank Sinkhorn Factorization
• [stat.ML]Signal Processing on the Permutahedron: Tight Spectral Frames for Ranked Data Analysis
·····································
• [astro-ph.CO]On the accuracy and precision of correlation functions and field-level inference in cosmology
Florent Leclercq, Alan Heavens
http://arxiv.org/abs/2103.04158v1
• [cond-mat.dis-nn]Stochasticity helps to navigate rough landscapes: comparing gradient-descent-based algorithms in the phase retrieval problem
Francesca Mignacco, Pierfrancesco Urbani, Lenka Zdeborová
http://arxiv.org/abs/2103.04902v1
• [cs.AI]A Study on Fairness and Trust Perceptions in Automated Decision Making
Jakob Schoeffer, Yvette Machowski, Niklas Kuehl
http://arxiv.org/abs/2103.04757v1
• [cs.AI]A Survey Of Embodied AI: From Simulator To Research Tasks
Duan Jiafei, Samson Yu, Tan Hui Li, Hongyuan Zhu, Cheston Tan
http://arxiv.org/abs/2103.04918v1
• [cs.AI]Counterfactuals and Causability in Explainable Artificial Intelligence: Theory, Algorithms, and Applications
Yu-Liang Chou, Catarina Moreira, Peter Bruza, Chun Ouyang, Joaquim Jorge
http://arxiv.org/abs/2103.04244v1
• [cs.AI]Coverage based testing for V&V and Safety Assurance of Self-driving Autonomous Vehicles: A Systematic Literature Review
Zaid Tahir, Rob Alexander
http://arxiv.org/abs/2103.04364v1
• [cs.AI]Discovering Diverse Multi-Agent Strategic Behavior via Reward Randomization
Zhenggang Tang, Chao Yu, Boyuan Chen, Huazhe Xu, Xiaolong Wang, Fei Fang, Simon Du, Yu Wang, Yi Wu
http://arxiv.org/abs/2103.04564v1
• [cs.AI]Injecting Knowledge in Data-driven Vehicle Trajectory Predictors
Mohammadhossein Bahari, Ismail Nejjar, Alexandre Alahi
http://arxiv.org/abs/2103.04854v1
• [cs.AI]Learning Human Rewards by Inferring Their Latent Intelligence Levels in Multi-Agent Games: A Theory-of-Mind Approach with Application to Driving Data
Ran Tian, Masayoshi Tomizuka, Liting Sun
http://arxiv.org/abs/2103.04289v1
• [cs.AI]Monte Carlo Tree Search: A Review on Recent Modifications and Applications
Maciej Świechowski, Konrad Godlewski, Bartosz Sawicki, Jacek Mańdziuk
http://arxiv.org/abs/2103.04931v1
• [cs.AI]Testing Autonomous Systems with Believed Equivalence Refinement
Chih-Hong Cheng, Rongjie Yan
http://arxiv.org/abs/2103.04578v1
• [cs.AR]F-CAD: A Framework to Explore Hardware Accelerators for Codec Avatar Decoding
Xiaofan Zhang, Dawei Wang, Pierce Chuang, Shugao Ma, Deming Chen, Yuecheng Li
http://arxiv.org/abs/2103.04958v1
• [cs.AR]Reliability-Aware Quantization for Anti-Aging NPUs
Sami Salamin, Georgios Zervakis, Ourania Spantidi, Iraklis Anagnostopoulos, Jörg Henkel, Hussam Amrouch
http://arxiv.org/abs/2103.04812v1
• [cs.AR]Scaling up HBM Efficiency of Top-K SpMV for Approximate Embedding Similarity on FPGAs
Alberto Parravicini, Luca Giuseppe Cellamare, Marco Siracusa, Marco Domenico Santambrogio
http://arxiv.org/abs/2103.04808v1
• [cs.CG]Classification of Higher Mobility Linkages
Tiago Guerreiro, Zijia Li, Josef Schicho
http://arxiv.org/abs/2103.04799v1
• [cs.CL]“Sharks are not the threat humans are”: Argument Component Segmentation in School Student Essays
Tariq Alhindi, Debanjan Ghosh
http://arxiv.org/abs/2103.04518v1
• [cs.CL]A Framework for Measuring Compositional Inductive Bias
Hugh Perkins
http://arxiv.org/abs/2103.04180v1
• [cs.CL]Automatic Difficulty Classification of Arabic Sentences
Nouran Khallaf, Serge Sharoff
http://arxiv.org/abs/2103.04386v1
• [cs.CL]Changing the Narrative Perspective: From Deictic to Anaphoric Point of View
Mike Chen, Razvan Bunescu
http://arxiv.org/abs/2103.04176v1
• [cs.CL]Empathetic BERT2BERT Conversational Model: Learning Arabic Language Generation with Little Data
Tarek Naous, Wissam Antoun, Reem A. Mahmoud, Hazem Hajj
http://arxiv.org/abs/2103.04353v1
• [cs.CL]Improving Text-to-SQL with Schema Dependency Learning
Binyuan Hui, Xiang Shi, Ruiying Geng, Binhua Li, Yongbin Li, Jian Sun, Xiaodan Zhu
http://arxiv.org/abs/2103.04399v1
• [cs.CL]Improving Zero-Shot Entity Retrieval through Effective Dense Representations
Eleni Partalidou, Despina Christou, Grigorios Tsoumakas
http://arxiv.org/abs/2103.04156v1
• [cs.CL]InFillmore: Neural Frame Lexicalization for Narrative Text Infilling
Jiefu Ou, Nathaniel Weir, Anton Belyy, Felix Yu, Benjamin Van Durme
http://arxiv.org/abs/2103.04941v1
• [cs.CL]Local word statistics affect reading times independently of surprisal
Adam Goodkind, Klinton Bicknell
http://arxiv.org/abs/2103.04469v1
• [cs.CL]MCR-Net: A Multi-Step Co-Interactive Relation Network for Unanswerable Questions on Machine Reading Comprehension
Wei Peng, Yue Hu, Jing Yu, Luxi Xing, Yuqiang Xie, Zihao Zhu, Yajing Sun
http://arxiv.org/abs/2103.04567v1
• [cs.CL]MTLHealth: A Deep Learning System for Detecting Disturbing Contentin Student Essays
Joseph Valencia, Erin Yao
http://arxiv.org/abs/2103.04290v1
• [cs.CL]Orthogonal Attention: A Cloze-Style Approach to Negation Scope Resolution
Aditya Khandelwal, Vahida Attar
http://arxiv.org/abs/2103.04294v1
• [cs.CL]Putting Humans in the Natural Language Processing Loop: A Survey
Zijie J. Wang, Dongjin Choi, Shenyu Xu, Diyi Yang
http://arxiv.org/abs/2103.04044v1
• [cs.CL]Semiotically-grounded distant viewing of diagrams: insights from two multimodal corpora
Tuomo Hiippala, John A. Bateman
http://arxiv.org/abs/2103.04692v1
• [cs.CL]Syntax-BERT: Improving Pre-trained Transformers with Syntax Trees
Jiangang Bai, Yujing Wang, Yiren Chen, Yaming Yang, Jing Bai, Jing Yu, Yunhai Tong
http://arxiv.org/abs/2103.04350v1
• [cs.CL]Translating the Unseen? Yorùbá English MT in Low-Resource, Morphologically-Unmarked Settings
Ife Adebara Miikka Silfverberg Muhammad Abdul-Mageed
http://arxiv.org/abs/2103.04225v1
• [cs.CL]TypeShift: A User Interface for Visualizing the Typing Production Process
Adam Goodkind
http://arxiv.org/abs/2103.04222v1
• [cs.CR]Bipartite secret sharing and staircases
Laszlo Csirmaz, František Matúš, Carles Padró
http://arxiv.org/abs/2103.04904v1
• [cs.CR]Combining IOTA and Attribute-Based Encryption for Access Control in the Internet of Things
Ruka Nakanishi, Yuanyu Zhang, Masahiro Sasabe, Shoji Kasahara
http://arxiv.org/abs/2103.04016v1
• [cs.CR]Deepfake Videos in the Wild: Analysis and Detection
Jiameng Pu, Neal Mangaokar, Lauren Kelly, Parantapa Bhattacharya, Kavya Sundaram, Mobin Javed, Bolun Wang, Bimal Viswanath
http://arxiv.org/abs/2103.04263v1
• [cs.CR]Hidden Backdoor Attack against Semantic Segmentation Models
Yiming Li, Yanjie Li, Yalei Lv, Baoyuan Wu, Yong Jiang, Shu-Tao Xia
http://arxiv.org/abs/2103.04038v1
• [cs.CR]On an innovative architecture for digital immunity passports and vaccination certificates
Ilias Politis, Christos Xenakis, Adarbad Master, John Polley
http://arxiv.org/abs/2103.04142v1
• [cs.CR]Social Media Identity Deception Detection: A Survey
Ahmed Alharbi, Hai Dong, Xun Yi, Zahir Tari, Ibrahim Khalil
http://arxiv.org/abs/2103.04673v1
• [cs.CR]T-Miner: A Generative Approach to Defend Against Trojan Attacks on DNN-based Text Classification
Ahmadreza Azizi, Ibrahim Asadullah Tahmid, Asim Waheed, Neal Mangaokar, Jiameng Pu, Mobin Javed, Chandan K. Reddy, Bimal Viswanath
http://arxiv.org/abs/2103.04264v1
• [cs.CR]Utilising Flow Aggregation to Classify Benign Imitating Attacks
Hanan Hindy, Robert Atkinson, Christos Tachtatzis, Ethan Bayne, Miroslav Bures, Xavier Bellekens
http://arxiv.org/abs/2103.04208v1
• [cs.CV]A Real-time Low-cost Artificial Intelligence System for Autonomous Spraying in Palm Plantations
Zhenwang Qin, Wensheng Wang, Karl-Heinz Dammer, Leifeng Guo, Zhen Cao
http://arxiv.org/abs/2103.04132v1
• [cs.CV]A Simple and Efficient Multi-task Network for 3D Object Detection and Road Understanding
Di Feng, Yiyang Zhou, Chenfeng Xu, Masayoshi Tomizuka, Wei Zhan
http://arxiv.org/abs/2103.04056v1
• [cs.CV]ARVo: Learning All-Range Volumetric Correspondence for Video Deblurring
Dongxu Li, Chenchen Xu, Kaihao Zhang, Xin Yu, Yiran Zhong, Wenqi Ren, Hanna Suominen, Hongdong Li
http://arxiv.org/abs/2103.04260v1
• [cs.CV]Adaptive Multi-Teacher Multi-level Knowledge Distillation
Yuang Liu, Wei Zhang, Jun Wang
http://arxiv.org/abs/2103.04062v1
• [cs.CV]Analysis of Convolutional Decoder for Image Caption Generation
Sulabh Katiyar, Samir Kumar Borgohain
http://arxiv.org/abs/2103.04914v1
• [cs.CV]Automatic Flare Spot Artifact Detection and Removal in Photographs
Patricia Vitoria, Coloma Ballester
http://arxiv.org/abs/2103.04384v1
• [cs.CV]Behavior-Driven Synthesis of Human Dynamics
Andreas Blattmann, Timo Milbich, Michael Dorkenwald, Björn Ommer
http://arxiv.org/abs/2103.04677v1
• [cs.CV]Beyond Max-Margin: Class Margin Equilibrium for Few-shot Object Detection
Bohao Li, Boyu Yang, Chang Liu, Feng Liu, Rongrong Ji, Qixiang Ye
http://arxiv.org/abs/2103.04612v1
• [cs.CV]Boosting Semi-supervised Image Segmentation with Global and Local Mutual Information Regularization
Jizong Peng, Marco Pedersoli, Christian Desrosiers
http://arxiv.org/abs/2103.04813v1
• [cs.CV]Bridging the Distribution Gap of Visible-Infrared Person Re-identification with Modality Batch Normalization
Wenkang Li, Qi Ke, Wenbin Chen, Yicong Zhou
http://arxiv.org/abs/2103.04778v1
• [cs.CV]CRLF: Automatic Calibration and Refinement based on Line Feature for LiDAR and Camera in Road Scenes
Tao Ma, Zhizheng Liu, Guohang Yan, Yikang Li
http://arxiv.org/abs/2103.04558v1
• [cs.CV]CheXseen: Unseen Disease Detection for Deep Learning Interpretation of Chest X-rays
Siyu Shi, Ishaan Malhi, Kevin Tran, Andrew Y. Ng, Pranav Rajpurkar
http://arxiv.org/abs/2103.04590v1
• [cs.CV]ClassSR: A General Framework to Accelerate Super-Resolution Networks by Data Characteristic
Xiangtao Kong, Hengyuan Zhao, Yu Qiao, Chao Dong
http://arxiv.org/abs/2103.04039v1
• [cs.CV]Consensus Maximisation Using Influences of Monotone Boolean Functions
Ruwan Tennakoon, David Suter, Erchuan Zhang, Tat-Jun Chin, Alireza Bab-Hadiashar
http://arxiv.org/abs/2103.04200v1
• [cs.CV]Content-Based Detection of Temporal Metadata Manipulation
Rafael Padilha, Tawfiq Salem, Scott Workman, Fernanda A. Andaló, Anderson Rocha, Nathan Jacobs
http://arxiv.org/abs/2103.04736v1
• [cs.CV]Data-driven Cloud Clustering via a Rotationally Invariant Autoencoder
Takuya Kurihana, Elisabeth Moyer, Rebecca Willett, Davis Gilton, Ian Foster
http://arxiv.org/abs/2103.04885v1
• [cs.CV]Deep Gradient Projection Networks for Pan-sharpening
Shuang Xu, Jiangshe Zhang, Zixiang Zhao, Kai Sun, Junmin Liu, Chunxia Zhang
http://arxiv.org/abs/2103.04584v1
• [cs.CV]Deep Model Intellectual Property Protection via Deep Watermarking
Jie Zhang, Dongdong Chen, Jing Liao, Weiming Zhang, Huamin Feng, Gang Hua, Nenghai Yu
http://arxiv.org/abs/2103.04980v1
• [cs.CV]Differentiable Multi-Granularity Human Representation Learning for Instance-Aware Human Semantic Parsing
Tianfei Zhou, Wenguan Wang, Si Liu, Yi Yang, Luc Van Gool
http://arxiv.org/abs/2103.04570v1
• [cs.CV]Domain Adaptive Egocentric Person Re-identification
Ankit Choudhary, Deepak Mishra, Arnab Karmakar
http://arxiv.org/abs/2103.04870v1
• [cs.CV]Domain Adaptive Robotic Gesture Recognition with Unsupervised Kinematic-Visual Data Alignment
Xueying Shi, Yueming Jin, Qi Dou, Jing Qin, Pheng-Ann Heng
http://arxiv.org/abs/2103.04075v1
• [cs.CV]Dual-Task Mutual Learning for Semi-Supervised Medical Image Segmentation
Yichi Zhang, Jicong Zhang
http://arxiv.org/abs/2103.04708v1
• [cs.CV]ERASOR: Egocentric Ratio of Pseudo Occupancy-based Dynamic Object Removal for Static 3D Point Cloud Map Building
Hyungtae Lim, Sungwon Hwang, Hyun Myung
http://arxiv.org/abs/2103.04316v1
• [cs.CV]End-to-End Human Object Interaction Detection with HOI Transformer
Cheng Zou, Bohan Wang, Yue Hu, Junqi Liu, Qian Wu, Yu Zhao, Boxun Li, Chenguang Zhang, Chi Zhang, Yichen Wei, Jian Sun
http://arxiv.org/abs/2103.04503v1
• [cs.CV]End-to-end optimized image compression for multiple machine tasks
Lahiru D. Chamain, Fabien Racapé, Jean Bégaint, Akshay Pushparaja, Simon Feltman
http://arxiv.org/abs/2103.04178v1
• [cs.CV]Enhancing Transformation-based Defenses against Adversarial Examples with First-Order Perturbations
Haimin Zhang, Min Xu
http://arxiv.org/abs/2103.04565v1
• [cs.CV]Estimating and Improving Fairness with Adversarial Learning
Xiaoxiao Li, Ziteng Cui, Yifan Wu, Li Gu, Tatsuya Harada
http://arxiv.org/abs/2103.04243v1
• [cs.CV]FEDS — Filtered Edit Distance Surrogate
Yash Patel, Jiri Matas
http://arxiv.org/abs/2103.04635v1
• [cs.CV]FastFlowNet: A Lightweight Network for Fast Optical Flow Estimation
Lingtong Kong, Chunhua Shen, Jie Yang
http://arxiv.org/abs/2103.04524v1
• [cs.CV]Fibrosis-Net: A Tailored Deep Convolutional Neural Network Design for Prediction of Pulmonary Fibrosis Progression from Chest CT Images
Alexander Wong, Jack Lu, Adam Dorfman, Paul McInnis, Mahmoud Famouri, Daniel Manary, James Ren Hou Lee, Michael Lynch
http://arxiv.org/abs/2103.04008v1
• [cs.CV]From Hand-Perspective Visual Information to Grasp Type Probabilities: Deep Learning via Ranking Labels
Mo Han, Sezen Ya{ğ}mur Günay, İlkay Yıldız, Paolo Bonato, Cagdas D. Onal, Taşkın Padır, Gunar Schirner, Deniz Erdo{ğ}muş
http://arxiv.org/abs/2103.04863v1
• [cs.CV]Fully Convolutional Geometric Features for Category-level Object Alignment
Qiaojun Feng, Nikolay Atanasov
http://arxiv.org/abs/2103.04494v1
• [cs.CV]Greedy Hierarchical Variational Autoencoders for Large-Scale Video Prediction
Bohan Wu, Suraj Nair, Roberto Martin-Martin, Li Fei-Fei, Chelsea Finn
http://arxiv.org/abs/2103.04174v1
• [cs.CV]Hierarchical Self Attention Based Autoencoder for Open-Set Human Activity Recognition
M Tanjid Hasan Tonmoy, Saif Mahmud, A K M Mahbubur Rahman, M Ashraful Amin, Amin Ahsan Ali
http://arxiv.org/abs/2103.04279v1
• [cs.CV]High Perceptual Quality Image Denoising with a Posterior Sampling CGAN
Guy Ohayon, Theo Adrai, Gregory Vaksman, Michael Elad, Peyman Milanfar
http://arxiv.org/abs/2103.04192v1
• [cs.CV]High-Resolution Segmentation of Tooth Root Fuzzy Edge Based on Polynomial Curve Fitting with Landmark Detection
Yunxiang Li, Yifan Zhang, Yaqi Wang, Shuai Wang, Ruizi Peng, Kai Tang, Qianni Zhang, Jun Wang, Qun Jin, Lingling Sun
http://arxiv.org/abs/2103.04258v1
• [cs.CV]IRON: Invariant-based Highly Robust Point Cloud Registration
Lei Sun
http://arxiv.org/abs/2103.04357v1
• [cs.CV]Imbalance-Aware Self-Supervised Learning for 3D Radiomic Representations
Hongwei Li, Fei-Fei Xue, Krishna Chaitanya, Shengda Liu, Ivan Ezhov, Benedikt Wiestler, Jianguo Zhang, Bjoern Menze
http://arxiv.org/abs/2103.04167v1
• [cs.CV]Improving Automated Sonar Video Analysis to Notify About Jellyfish Blooms
Artjoms Gorpincenko, Geoffrey French, Peter Knight, Mike Challiss, Michal Mackiewicz
http://arxiv.org/abs/2103.04068v1
• [cs.CV]Improving Global Adversarial Robustness Generalization With Adversarially Tra
1000
ined GAN
Desheng Wang, Weidong Jin, Yunpu Wu, Aamir Khan
http://arxiv.org/abs/2103.04513v1
• [cs.CV]Incremental Learning for Multi-organ Segmentation with Partially Labeled Datasets
Pengbo Liu, Li Xiao, S. Kevin Zhou
http://arxiv.org/abs/2103.04526v1
• [cs.CV]Indoor Future Person Localization from an Egocentric Wearable Camera
Jianing Qiu, Frank P. -W. Lo, Xiao Gu, Yingnan Sun, Shuo Jiang, Benny Lo
http://arxiv.org/abs/2103.04019v1
• [cs.CV]Interpretable Attention Guided Network for Fine-grained Visual Classification
Zhenhuan Huang, Xiaoyue Duan, Bo Zhao, Jinhu Lü, Baochang Zhang
http://arxiv.org/abs/2103.04701v1
• [cs.CV]Joint Noise-Tolerant Learning and Meta Camera Shift Adaptation for Unsupervised Person Re-Identification
Fengxiang Yang, Zhun Zhong, Zhiming Luo, Yuanzheng Cai, Yaojin Lin, Shaozi Li, Nicu Sebe
http://arxiv.org/abs/2103.04618v1
• [cs.CV]Learn to Differ: Sim2Real Small Defection Segmentation Network
Zexi Chen, Zheyuan Huang, Yunkai Wang, Xuecheng Xu, Yue Wang, Rong Xiong
http://arxiv.org/abs/2103.04297v1
• [cs.CV]Learning Cycle-Consistent Cooperative Networks via Alternating MCMC Teaching for Unsupervised Cross-Domain Translation
Jianwen Xie, Zilong Zheng, Xiaolin Fang, Song-Chun Zhu, Ying Nian Wu
http://arxiv.org/abs/2103.04285v1
• [cs.CV]Learning Statistical Texture for Semantic Segmentation
Lanyun Zhu, Deyi Ji, Shiping Zhu, Weihao Gan, Wei Wu, Junjie Yan
http://arxiv.org/abs/2103.04133v1
• [cs.CV]Learning from Counting: Leveraging Temporal Classification for Weakly Supervised Object Localization and Detection
Chia-Yu Hsu, Wenwen Li
http://arxiv.org/abs/2103.04009v1
• [cs.CV]Learning to Generate 3D Shapes with Generative Cellular Automata
Dongsu Zhang, Changwoon Choi, Jeonghwan Kim, Young Min Kim
http://arxiv.org/abs/2103.04130v1
• [cs.CV]Learning to Predict Vehicle Trajectories with Model-based Planning
Haoran Song, Di Luan, Wenchao Ding, Michael Yu Wang, Qifeng Chen
http://arxiv.org/abs/2103.04027v1
• [cs.CV]Localization and Mapping using Instance-specific Mesh Models
Qiaojun Feng, Yue Meng, Mo Shan, Nikolay Atanasov
http://arxiv.org/abs/2103.04493v1
• [cs.CV]LongReMix: Robust Learning with High Confidence Samples in a Noisy Label Environment
Filipe R. Cordeiro, Ragav Sachdeva, Vasileios Belagiannis, Ian Reid, Gustavo Carneiro
http://arxiv.org/abs/2103.04173v1
• [cs.CV]Look, Evolve and Mold: Learning 3D Shape Manifold via Single-view Synthetic Data
Qianyu Feng, Yawei Luo, Keyang Luo, Yi Yang
http://arxiv.org/abs/2103.04789v1
• [cs.CV]Machine-learning based methodologies for 3d x-ray measurement, characterization and optimization for buried structures in advanced ic packages
Ramanpreet S Pahwa, Soon Wee Ho, Ren Qin, Richard Chang, Oo Zaw Min, Wang Jie, Vempati Srinivasa Rao, Tin Lay Nwe, Yanjing Yang, Jens Timo Neumann, Ramani Pichumani, Thomas Gregorich
http://arxiv.org/abs/2103.04838v1
• [cs.CV]MeGA-CDA: Memory Guided Attention for Category-Aware Unsupervised Domain Adaptive Object Detection
Vibashan VS, Poojan Oza, Vishwanath A. Sindagi, Vikram Gupta, Vishal M. Patel
http://arxiv.org/abs/2103.04224v1
• [cs.CV]Morphological Operation Residual Blocks: Enhancing 3D Morphological Feature Representation in Convolutional Neural Networks for Semantic Segmentation of Medical Images
Chentian Li, Chi Ma, William W. Lu
http://arxiv.org/abs/2103.04026v1
• [cs.CV]Multi-Source Domain Adaptation with Collaborative Learning for Semantic Segmentation
Jianzhong He, Xu Jia, Shuaijun Chen, Jianzhuang Liu
http://arxiv.org/abs/2103.04717v1
• [cs.CV]Multimodal Representation Learning via Maximization of Local Mutual Information
Ruizhi Liao, Daniel Moyer, Miriam Cha, Keegan Quigley, Seth Berkowitz, Steven Horng, Polina Golland, William M. Wells
http://arxiv.org/abs/2103.04537v1
• [cs.CV]NeRD: Neural Representation of Distribution for Medical Image Segmentation
Hang Zhang, Rongguang Wang, Jinwei Zhang, Chao Li, Gufeng Yang, Pascal Spincemaille, Thanh Nguyen, Yi Wang
http://arxiv.org/abs/2103.04020v1
• [cs.CV]Noisy Label Learning for Large-scale Medical Image Classification
Fengbei Liu, Yu Tian, Filipe R. Cordeiro, Vasileios Belagiannis, Ian Reid, Gustavo Carneiro
http://arxiv.org/abs/2103.04053v1
• [cs.CV]On Implicit Attribute Localization for Generalized Zero-Shot Learning
Shiqi Yang, Kai Wang, Luis Herranz, Joost van de Weijer
http://arxiv.org/abs/2103.04704v1
• [cs.CV]One-Shot Medical Landmark Detection
Qingsong Yao, Quan Quan, Li Xiao, S. Kevin Zhou
http://arxiv.org/abs/2103.04527v1
• [cs.CV]PISE: Person Image Synthesis and Editing with Decoupled GAN
Jinsong Zhang, Kun Li, Yu-Kun Lai, Jingyu Yang
http://arxiv.org/abs/2103.04023v1
• [cs.CV]Panoptic Lintention Network: Towards Efficient Navigational Perception for the Visually Impaired
Wei Mao, Jiaming Zhang, Kailun Yang, Rainer Stiefelhagen
http://arxiv.org/abs/2103.04128v1
• [cs.CV]Parser-Free Virtual Try-on via Distilling Appearance Flows
Yuying Ge, Yibing Song, Ruimao Zhang, Chongjian Ge, Wei Liu, Ping Luo
http://arxiv.org/abs/2103.04559v1
• [cs.CV]Perception Framework through Real-Time Semantic Segmentation and Scene Recognition on a Wearable System for the Visually Impaired
Yingzhi Zhang, Haoye Chen, Kailun Yang, Jiaming Zhang, Rainer Stiefelhagen
http://arxiv.org/abs/2103.04136v1
• [cs.CV]Perspectives and Prospects on Transformer Architecture for Cross-Modal Tasks with Language and Vision
Andrew Shin, Masato Ishii, Takuya Narihira
http://arxiv.org/abs/2103.04037v1
• [cs.CV]Pose Discrepancy Spatial Transformer Based Feature Disentangling for Partial Aspect Angles SAR Target Recognition
Zaidao Wen, Jiaxiang Liu, Zhunga Liu, Quan Pan
http://arxiv.org/abs/2103.04329v1
• [cs.CV]Predictive Visual Tracking: A New Benchmark and Baseline Approach
Bowen Li, Yiming Li, Junjie Ye, Changhong Fu, Hang Zhao
http://arxiv.org/abs/2103.04508v1
• [cs.CV]RFN-Nest: An end-to-end residual fusion network for infrared and visible images
Hui Li, Xiao-Jun Wu, Josef Kittler
http://arxiv.org/abs/2103.04286v1
• [cs.CV]Relationship-based Neural Baby Talk
Fan Fu, Tingting Xie, Ioannis Patras, Sepehr Jalali
http://arxiv.org/abs/2103.04846v1
• [cs.CV]Repurposing GANs for One-shot Semantic Part Segmentation
Nontawat Tritrong, Pitchaporn Rewatbowornwong, Supasorn Suwajanakorn
http://arxiv.org/abs/2103.04379v1
• [cs.CV]Robust Point Cloud Registration Framework Based on Deep Graph Matching
Kexue Fu, Shaolei Liu, Xiaoyuan Luo, Manning Wang
http://arxiv.org/abs/2103.04256v1
• [cs.CV]Robust Reflection Removal with Reflection-free Flash-only Cues
Chenyang Lei, Qifeng Chen
http://arxiv.org/abs/2103.04273v1
• [cs.CV]Self-Augmented Multi-Modal Feature Embedding
Shinnosuke Matsuo, Seiichi Uchida, Brian Kenji Iwana
http://arxiv.org/abs/2103.04731v1
• [cs.CV]Semantic-aware Knowledge Distillation for Few-Shot Class-Incremental Learning
Ali Cheraghian, Shafin Rahman, Pengfei Fang, Soumava Kumar Roy, Lars Petersson, Mehrtash Harandi
http://arxiv.org/abs/2103.04059v1
• [cs.CV]Semi-supervised Domain Adaptation based on Dual-level Domain Mixing for Semantic Segmentation
Shuaijun Chen, Xu Jia, Jianzhong He, Yongjie Shi, Jianzhuang Liu
http://arxiv.org/abs/2103.04705v1
• [cs.CV]Simple online and real-time tracking with occlusion handling
Mohammad Hossein Nasseri, Hadi Moradi, Reshad Hosseini, Mohammadreza Babaee
http://arxiv.org/abs/2103.04147v1
• [cs.CV]Simultaneously Localize, Segment and Rank the Camouflaged Objects
Yunqiu Lyu, Jing Zhang, Yuchao Dai, Aixuan Li, Bowen Liu, Nick Barnes, Deng-Ping Fan
http://arxiv.org/abs/2103.04011v1
• [cs.CV]Snapshot Compressive Imaging: Principle, Implementation, Theory, Algorithms and Applications
Xin Yuan, David J. Brady, Aggelos K. Katsaggelos
http://arxiv.org/abs/2103.04421v1
• [cs.CV]Spatial-Spectral Feedback Network for Super-Resolution of Hyperspectral Imagery
Enhai Liu, Zhenjie Tang, Bin Pan, Zhenwei Shi
http://arxiv.org/abs/2103.04354v1
• [cs.CV]Student-Teacher Feature Pyramid Matching for Unsupervised Anomaly Detection
Guodong Wang, Shumin Han, Errui Ding, Di Huang
http://arxiv.org/abs/2103.04257v1
• [cs.CV]Synplex: A synthetic simulator of highly multiplexed histological images
Daniel Jiménez-Sánchez, Mikel Ariz, Carlos Ortiz-de-Solórzano
http://arxiv.org/abs/2103.04617v1
• [cs.CV]The Weakly-Labeled Rand Index
Dylan Stewart, Anna Hampton, Alina Zare, Jeff Dale, James Keller
http://arxiv.org/abs/2103.04872v1
• [cs.CV]Time and Frequency Network for Human Action Detection in Videos
Changhai Li, Huawei Chen, Jingqing Lu, Yang Huang, Yingying Liu
http://arxiv.org/abs/2103.04680v1
• [cs.CV]TransBTS: Multimodal Brain Tumor Segmentation Using Transformer
Wenxuan Wang, Chen Chen, Meng Ding, Jiangyun Li, Hong Yu, Sen Zha
http://arxiv.org/abs/2103.04430v1
• [cs.CV]U-DuDoNet: Unpaired dual-domain network for CT metal artifact reduction
Yuanyuan Lyu, Jiajun Fu, Cheng Peng, S. Kevin Zhou
http://arxiv.org/abs/2103.04552v1
• [cs.CV]Unified Batch All Triplet Loss for Visible-Infrared Person Re-identification
Wenkang Li, Ke Qi, Wenbin Chen, Yicong Zhou
http://arxiv.org/abs/2103.04607v1
• [cs.CV]Unsupervised Object-Based Transition Models for 3D Partially Observable Environments
Antonia Creswell, Rishabh Kabra, Chris Burgess, Murray Shanahan
http://arxiv.org/abs/2103.04693v1
• [cs.CV]Unsupervised Person Re-Identification with Multi-Label Learning Guided Self-Paced Clustering
Qing Li, Xiaojiang Peng, Yu Qiao, Qi Hao
http://arxiv.org/abs/2103.04580v1
• [cs.CV]Unsupervised Pretraining for Object Detection by Patch Reidentification
Jian Ding, Enze Xie, Hang Xu, Chenhan Jiang, Zhenguo Li, Ping Luo, Gui-Song Xia
http://arxiv.org/abs/2103.04814v1
• [cs.CV]Unveiling the Potential of Structure-Preserving for Weakly Supervised Object Localization
Xingjia Pan, Yingguo Gao, Zhiwen Lin, Fan Tang, Weiming Dong, Haolei Yuan, Feiyue Huang, Changsheng Xu
http://arxiv.org/abs/2103.04523v1
• [cs.CV]Virtual Normal: Enforcing Geometric Constraintsfor Accurate and Robust Depth Prediction
Wei Yin, Yifan Liu, Chunhua Shen
http://arxiv.org/abs/2103.04216v1
• [cs.CV]Watching You: Global-guided Reciprocal Learning for Video-based Person Re-identification
Xuehu Liu, Pingping Zhang, Chenyang Yu, Huchuan Lu, Xiaoyun Yang
http://arxiv.org/abs/2103.04337v1
• [cs.CV]WebFace260M: A Benchmark Unveiling the Power of Million-Scale Deep Face Recognition
Zheng Zhu, Guan Huang, Jiankang Deng, Yun Ye, Junjie Huang, Xinze Chen, Jiagang Zhu, Tian Yang, Jiwen Lu, Dalong Du, Jie Zhou
http://arxiv.org/abs/2103.04098v1
• [cs.CV]What If We Only Use Real Datasets for Scene Text Recognition? Toward Scene Text Recognition With Fewer Labels
Jeonghun Baek, Yusuke Matsui, Kiyoharu Aizawa
http://arxiv.org/abs/2103.04400v1
• [cs.CV]You Only Learn Once: Universal Anatomical Landmark Detection
Heqin Zhu, Qingsong Yao, Li Xiao, S. Kevin Zhou
http://arxiv.org/abs/2103.04657v1
• [cs.CY]A Framework for Enabling Safe and Resilient Food Factories for the Public Feeding Programs
Nataraj Kuntagod, Sanjay Podder, Satya Sai Srinivas Abbabathula, Venkatesh Subramanian, Giju Mathew, Suresh Kumar Mani
http://arxiv.org/abs/2103.04811v1
• [cs.CY]Differential Tracking Across Topical Webpages of Indian News Media
Yash Vekaria, Vibhor Agarwal, Pushkal Agarwal, Sangeeta Mahapatra, Sakthi Balan Muthiah, Nishanth Sastry, Nicolas Kourtellis
http://arxiv.org/abs/2103.04442v1
• [cs.CY]Make Your Autonomous Vehicle Deliver And Earn Money for You
Navid Mohammad Imran, Sabya Mishra, Myounggyu Won
http://arxiv.org/abs/2103.04118v1
• [cs.CY]Smart Speakers, the Next Frontier in Computational Health
Jacob Sunshine
http://arxiv.org/abs/2103.04209v1
• [cs.DB]The RLR-Tree: A Reinforcement Learning Based R-Tree for Spatial Data
Tu Gu, Kaiyu Feng, Gao Cong, Cheng Long, Zheng Wang, Sheng Wang
http://arxiv.org/abs/2103.04541v1
• [cs.DC]A coordination-free, convergent, and safe replicated tree
Sreeja Nair, Filipe Meirim, Mário Pereira, Carla Ferreira, Marc Shapiro
http://arxiv.org/abs/2103.04828v1
• [cs.DC]AVEC: Accelerator Virtualization in Cloud-Edge Computing for Deep Learning Libraries
Jason Kennedy, Blesson Varghese, Carlos Reaño
http://arxiv.org/abs/2103.04930v1
• [cs.DC]Blueprint: Cyberinfrastructure Center of Excellence
Ewa Deelman, Anirban Mandal, Angela P. Murillo, Jarek Nabrzyski, Valerio Pascucci, Robert Ricci, Ilya Baldin, Susan Sons, Laura Christopherson, Charles Vardeman, Rafael Ferreira da Silva, Jane Wyngaard, Steve Petruzza, Mats Rynge, Karan Vahi, Wendy R. Whitcup, Josh Drake, Erik Scott
http://arxiv.org/abs/2103.04195v1
• [cs.DC]Bottlenecks in Blockchain Consensus Protocols
Salem Alqahtani, Murat Demirbas
http://arxiv.org/abs/2103.04234v1
• [cs.DC]Checkpoint/Restart for Lagrangian particle mesh with AMR in community code FLASH-X
Rajeev Jain, Klaus Weide, Saurabh Chawdhary, Thomas Klostermann
http://arxiv.org/abs/2103.04267v1
• [cs.DC]EVEREST: A design environment for extreme-scale big data analytics on heterogeneous platforms
Christian Pilato, Stanislav Bohm, Fabien Brocheton, Jeronimo Castrillon, Riccardo Cevasco, Vojtech Cima, Radim Cmar, Dionysios Diamantopoulos, Fabrizio Ferrandi, Jan Martinovic, Gianluca Palermo, Michele Paolino, Antonio Parodi, Lorenzo Pittaluga, Daniel Raho, Francesco Regazzoni, Katerina Slaninova, Christoph Hagleitner
http://arxiv.org/abs/2103.04185v1
• [cs.DC]Millions of 5-State n^3 Sequence Generators via Local Mappings
Tien Nguyen, Luidnel Maignan
http://arxiv.org/abs/2103.04626v1
• [cs.DC]Threshold-based Network Structural Dynamics
Evangelos Kipouridis, Paul G. Spirakis, Kostas Tsichlas
http://arxiv.org/abs/2103.04955v1
• [cs.DC]Transparent Checkpointing for OpenGL Applications on GPUs
David Hou, Jun Gan, Yue Li, Younes El Idrissi Yazami, Twinkle Jain
http://arxiv.org/abs/2103.04916v1
• [cs.DC]Why Do My Blockchain Transactions Fail? A Study of Hyperledger Fabric (Extended version)*
Jeeta Ann Chacko, Ruben Mayer, Hans-Arno Jacobsen
http://arxiv.org/abs/2103.04681v1
• [cs.DS]T-SCI: A Two-Stage Conformal Inference Algorithm with Guaranteed Coverage for Cox-MLP
Jiaye Teng, Zeren Tan, Yang Yuan
http://arxiv.org/abs/2103.04556v1
• [cs.GT]Bandit Linear Optimization for Sequential Decision Making and Extensive-Form Games
Gabriele Farina, Robin Schmucker, Tuomas Sandholm
http://arxiv.org/abs/2103.04546v1
• [cs.GT]Model-Free Online Learning in Unknown Sequential Decision Making Problems and Games
Gabriele Farina, Tuomas Sandholm
http://arxiv.org/abs/2103.04539v1
• [cs.HC]Exploring a Makeup Support System for Transgender Passing based on Automatic Gender Recognition
Toby Chong, Nolwenn Maudet, Katsuki Harima, Takeo Igarashi
http://arxiv.org/abs/2103.04544v1
• [cs.IR]ReadNet: A Hierarchical Transformer Framework for Web Article Readability Analysis
Changping Meng, Muhao Chen, Jie Mao, Jennifer Neville
http://arxiv.org/abs/2103.04083v1
• [cs.IR]RevDet: Robust and Memory Efficient Event Detection and Tracking in Large News Feeds
Abdul Hameed Azeemi, Muhammad Hamza Sohail, Talha Zubair, Muaz Maqbool, Irfan Younas, Omair Shafiq
http://arxiv.org/abs/2103.04390v1
• [cs.IR]Semantic Models for the First-stage Retrieval: A Comprehensive Review
Yinqiong Cai, Yixing Fan, Jiafeng Guo, Fei Sun, Ruqing Zhang, Xueqi Cheng
http://arxiv.org/abs/2103.04831v1
• [cs.IR]Usability Evaluation for Online Professional Search in the Dutch Archaeology Domain
Alex Brandsen, Suzan Verberne, Karsten Lambers, Milco Wansleeben
http://arxiv.org/abs/2103.04437v1
• [cs.IT]Achievable rate-region for User Classical-Quantum Interference Channel using Structured Codes
Touheed Anwar Atif, Arun Padakandla, S. Sandeep Pradhan
http://arxiv.org/abs/2103.03978v1
• [cs.IT]Adaptive Coding for Matrix Multiplication at Edge Networks
Elahe Vedadi, Hulya Seferoglu
http://arxiv.org/abs/2103.04247v1
• [cs.IT]Channel Estimation for Underwater Acoustic OFDM Communications: An Image Super-Resolution Approach
Donghong Ouyang, Yuzhou Li, Zhizhan Wang
http://arxiv.org/abs/2103.04345v1
• [cs.IT]Dynamic Message Scheduling With Activity-Aware Residual Belief Propagation for Asynchronous mMTC Systems
R. B. Di Renna, R. C. de Lamare
http://arxiv.org/abs/2103.04486v1
• [cs.IT]Geometrical Representation for Number-theoretic Transforms
H. M. de Oliveira, R. J. Cintra
http://arxiv.org/abs/2103.04832v1
• [cs.IT]Intelligent Reflecting Surface Enhanced D2D Cooperative Computing
Sun Mao, Xiaoli Chu, Qingqing Wu, Lei Liu, Jie Feng
http://arxiv.org/abs/2103.04073v1
• [cs.IT]Inter-Carrier Interference Mitigation for Differentially Coherent Detection in Underwater Acoustic OFDM Systems
Yunlong Huang, Yuzhou Li
http://arxiv.org/abs/2103.04341v1
• [cs.IT]LCD Codes from tridiagonal Toeplitz matrice
Minjia Shi, Ferruh Özbudak, Li Xu, Patrick Solé
http://arxiv.org/abs/2103.04407v1
• [cs.IT]Minimal Overhead ARQ Sharing Strategies for URLLC in Multi-Hop Networks
Jaya Goel, J. Harshan
http://arxiv.org/abs/2103.04873v1
• [cs.IT]Over-the-Air Statistical Estimation
Chuan-Zheng Lee, Leighton Pate Barnes, Ayfer Ozgur
http://arxiv.org/abs/2103.04014v1
• [cs.IT]Reconfigurable Intelligent Surfaces for Rich Scattering Wireless Communications: Recent Experiments, Challenges, and Opportunities
George C. Alexandropoulos, Nir Shlezinger, Philipp del Hougne
http://arxiv.org/abs/2103.04711v1
• [cs.IT]Secrecy Energy Efficiency Maximization in IRS-Assisted Cognitive Radio System
Xuewen Wu, Jingxiao Ma, Chenwei Gu, Xiaoping Xue, Xin Zeng
http://arxiv.org/abs/2103.04651v1
• [cs.IT]Space—Time Codes from Sum-Rank Codes
Mohannad Shehadeh, Frank R. Kschischang
http://arxiv.org/abs/2103.04976v1
• [cs.IT]Sparse Kronecker-Product Coding for Unsourced Multiple Access
Zeyu Han, Xiaojun Yuan, Chongbin Xu, Shuchao Jiang, Xin Wang
http://arxiv.org/abs/2103.04722v1
• [cs.IT]Spatial Equalization Before Reception: Reconfigurable Intelligent Surfaces for Multi-path Mitigation
Hongliang Zhang, Lingyang Song, Zhu Han, H. Vincent Poor
http://arxiv.org/abs/2103.04784v1
• [cs.IT]Uplink Power Control in Massive MIMO with Double Scattering Channels
Trinh Van Chien, Hien Quoc Ngo, Symeon Chatzinotas, Björn Ottersten, Merouane Debbah
http://arxiv.org/abs/2103.04129v1
• [cs.LG]A Comparative Approach to Explainable Artificial Intelligence Methods in Application to High-Dimensional Electronic Health Records: Examining the Usability of XAI
Jamie Andrew Duell
http://arxiv.org/abs/2103.04951v1
• [cs.LG]A Crash Course on Reinforcement Learning
Farnaz Adib Yaghmaie, Lennart Ljung
http://arxiv.org/abs/2103.04910v1
• [cs.LG]A Lower Bound for the Sample Complexity of Inverse Reinforcement Learning
Abi Komanduru, Jean Honorio
http://arxiv.org/abs/2103.04446v1
• [cs.LG]A Novel Perspective for Positive-Unlabeled Learning via Noisy Labels
Daiki Tanaka, Daiki Ikami, Kiyoharu Aizawa
http://arxiv.org/abs/2103.04685v1
• [cs.LG]A Taxonomy of Similarity Metrics for Markov Decision Processes
Álvaro Visús, Javier García, Fernando Fernández
http://arxiv.org/abs/2103.04706v1
• [cs.LG]Adversarial Reinforcement Learning for Procedural Content Generation
Linus Gisslén, Andy Eakins, Camilo Gordillo, Joakim Bergdahl, Konrad Tollmar
http://arxiv.org/abs/2103.04847v1
• [cs.LG]An Energy-Saving Snake Locomotion Gait Policy Using Deep Reinforcement Learning
Yilang Liu, Amir Barati Farimani
http://arxiv.org/abs/2103.04511v1
• [cs.LG]Anomaly Detection Based on Selection and Weighting in Latent Space
Yiwen Liao, Alexander Bartler, Bin Yang
http://arxiv.org/abs/2103.04662v1
• [cs.LG]Approximation Algorithms for Active Sequential Hypothesis Testing
Kyra Gan, Su Jia, Andrew Li
http://arxiv.org/abs/2103.04250v1
• [cs.LG]Auto-tuning of Deep Neural Networks by Conflicting Layer Removal
David Peer, Sebastian Stabinger, Antonio Rodriguez-Sanchez
http://arxiv.org/abs/2103.04331v1
• [cs.LG]Automatic Cause Detection of Performance Problems in Web Applications
Quentin Fournier, Naser Ezzati-Jivan, Daniel Aloise, Michel R. Dagenais
http://arxiv.org/abs/2103.04954v1
• [cs.LG]Behavior From the Void: Unsupervised Active Pre-Training
Liu Hao, Abbeel Pieter
http://arxiv.org/abs/2103.04551v1
• [cs.LG]CORe: Capitalizing On Rewards in Bandit Exploration
Nan Wang, Branislav Kveton, Maryam Karimzadehgan
http://arxiv.org/abs/2103.04387v1
• [cs.LG]Cluster-based Input Weight Initialization for Echo State Networks
Peter Steiner, Azarakhsh Jalalvand, Peter Birkholz
http://arxiv.org/abs/2103.04710v1
• [cs.LG]Consistency Regularization for Adversarial Robustness
Jihoon Tack, Sihyun Yu, Jongheon Jeong, Minseon Kim, Sung Ju Hwang, Jinwoo Shin
http://arxiv.org/abs/2103.04623v1
• [cs.LG]Contextual Dropout: An Efficient Sample-Dependent Dropout Module
Xinjie Fan, Shujian Zhang, Korawat Tanwisuth, Xiaoning Qian, Mingyuan Zhou
http://arxiv.org/abs/2103.04181v1
• [cs.LG]Convolutional Graph-Tensor Net for Graph Data Completion
Xiao-Yang Liu, Ming Zhu
http://arxiv.org/abs/2103.04485v1
• [cs.LG]Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Models
Sam Bond-Taylor, Adam Leach, Yang Long, Chris G. Willcocks
http://arxiv.org/abs/2103.04922v1
• [cs.LG]Detecting Adversarial Examples from Sensitivity Inconsistency of Spatial-Transform Domain
Jinyu Tian, Jiantao Zhou, Yuanman Li, Jia Duan
http://arxiv.org/abs/2103.04302v1
• [cs.LG]Digital Beamforming Robust to Time-Varying Carrier Frequency Offset
Shuang Li, Payam Nayeri, Michael B. Wakin
http://arxiv.org/abs/2103.04948v1
• [cs.LG]Distributed Reinforcement Learning for Flexible and Efficient UAV Swarm Control
Federico Venturini, Federico Mason, Francesco Pase, Federico Chiariotti, Alberto Testolin, Andrea Zanella, Michele Zorzi
http://arxiv.org/abs/2103.04666v1
• [cs.LG]Efficient Algorithms for Finite Horizon and Streaming Restless Multi-Armed Bandit Problems
Aditya Mate, Arpita Biswas, Christoph Siebenbrunner, Milind Tambe
http://arxiv.org/abs/2103.04730v1
• [cs.LG]Efficient Continual Adaptation for Generative Adversarial Networks
Sakshi Varshney, Vinay Kumar Verma, Lawrence Carin, Piyush Rai
http://arxiv.org/abs/2103.04032v1
• [cs.LG]Efficient Model Performance Estimation via Feature Histories
Shengcao Cao, Xiaofang Wang, Kris Kitani
http://arxiv.org/abs/2103.04450v1
• [cs.LG]Empirical comparison between autoencoders and traditional dimensionality reduction methods
Quentin Fournier, Daniel Aloise
http://arxiv.org/abs/2103.04874v1
• [cs.LG]Exact Gap between Generalization Error and Uniform Convergence in Random Feature Models
Zitong Yang, Yu Bai, Song Mei
http://arxiv.org/abs/2103.04554v1
• [cs.LG]Expert System Gradient Descent Style Training: Development of a Defensible Artificial Intelligence Technique
Jeremy Straub
http://arxiv.org/abs/2103.04314v1
• [cs.LG]Fairness in TabNet Model by Disentangled Representation for the Prediction of Hospital No-Show
Sabri Boughorbel, Fethi Jarray, Abdou Kadri
http://arxiv.org/abs/2103.04048v1
• [cs.LG]FedV: Privacy-Preserving Federated Learning over Vertically Partitioned Data
Runhua Xu, Nathalie Baracaldo, Yi Zhou, Ali Anwar, James Joshi, Heiko Ludwig
http://arxiv.org/abs/2103.03918v1
• [cs.LG]Graph Force Learning
Ke Sun, Jiaying Liu, Shuo Yu, Bo Xu, Feng Xia
http://arxiv.org/abs/2103.04344v1
• [cs.LG]Implementing graph neural networks with TensorFlow-Keras
Patrick Reiser, Andre Eberhard, Pascal Friederich
http://arxiv.org/abs/2103.04318v1
• [cs.LG]Insta-RS: Instance-wise Randomized Smoothing for Improved Robustness and Accuracy
Chen Chen, Kezhi Kong, Peihong Yu, Juan Luque, Furong Huang
http://arxiv.org/abs/2103.04436v1
• [cs.LG]Instabilities of Offline RL with Pre-Trained Neural Representation
Ruosong Wang, Yifan Wu, Ruslan Salakhutdinov, Sham M. Kakade
http://arxiv.org/abs/2103.04947v1
• [cs.LG]Learning Graph Neural Networks with Positive and Unlabeled Nodes
Man Wu, Shirui Pan, Lan Du, Xingquan Zhu
http://arxiv.org/abs/2103.04683v1
• [cs.LG]Learning to Continually Learn Rapidly from Few and Noisy Data
Nicholas I-Hsien Kuo, Mehrtash Harandi, Nicolas Fourrier, Christian Walder, Gabriela Ferraro, Hanna Suominen
http://arxiv.org/abs/2103.04066v1
• [cs.LG]Learning to Represent and Predict Sets with Deep Neural Networks
Yan Zhang
http://arxiv.org/abs/2103.04957v1
• [cs.LG]Linear Regression over Networks with Communication Guarantees
Konstantinos Gatsis
http://arxiv.org/abs/2103.04140v1
• [cs.LG]Lipschitz Normalization for Self-Attention Layers with Application to Graph Neural Networks
George Dasoulas, Kevin Scaman, Aladin Virmaux
http://arxiv.org/abs/2103.04886v1
• [cs.LG]Low-Rank Isomap Algorithm
Eysan Mehrbani, Mohammad Hossein Kahaei
http://arxiv.org/abs/2103.04060v1
• [cs.LG]Markov Cricket: Using Forward and Inverse Reinforcement Learning to Model, Predict And Optimize Batting Performance in One-Day International Cricket
Manohar Vohra, George S. D. Gordon
http://arxiv.org/abs/2103.04349v1
• [cs.LG]Meta-Learning with MAML on Trees
Jezabel R. Garcia, Federica Freddi, Feng-Ting Liao, Jamie McGowan, Tim Nieradzik, Da-shan Shiu, Ye Tian, Alberto Bernacchia
http://arxiv.org/abs/2103.04691v1
• [cs.LG]Model-based versus Model-free Deep Reinforcement Learning for Autonomous Racing Cars
Axel Brunnbauer, Luigi Berducci, Andreas Brandstätter, Mathias Lechner, Ramin Hasani, Daniela Rus, Radu Grosu
http://arxiv.org/abs/2103.04909v1
• [cs.LG]No Discounted-Regret Learning in Adversarial Bandits with Delays
Ilai Bistritz, Zhengyuan Zhou, Xi Chen, Nicholas Bambos, Jose Blanchet
http://arxiv.org/abs/2103.04550v1
• [cs.LG]Nondeterminism and Instability in Neural Network Optimization
Cecilia Summers, Michael J. Dinneen
http://arxiv.org/abs/2103.04514v1
• [cs.LG]Personalized Federated Learning using Hypernetworks
Aviv Shamsian, Aviv Navon, Ethan Fetaya, Gal Chechik
http://arxiv.org/abs/2103.04628v1
• [cs.LG]Predictive Coding Can Do Exact Backpropagation on Any Neural Network
Tommaso Salvatori, Yuhang Song, Thomas Lukasiewicz, Rafal Bogacz, Zhenghua Xu
http://arxiv.org/abs/2103.04689v1
• [cs.LG]Provably Efficient Cooperative Multi-Agent Reinforcement Learning with Function Approximation
Abhimanyu Dubey, Alex Pentland
http://arxiv.org/abs/2103.04972v1
• [cs.LG]PyRCN: Exploration and Application of ESNs
Peter Steiner, Azarakhsh Jalalvand, Simon Stone, Peter Birkholz
http://arxiv.org/abs/2103.04807v1
• [cs.LG]Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding
Andrew Jesson, Sören Mindermann, Yarin Gal, Uri Shalit
http://arxiv.org/abs/2103.04850v1
• [cs.LG]Real-world Ride-hailing Vehicle Repositioning using Deep Reinforcement Learning
Yan Jiao, Xiaocheng Tang, Zhiwei Qin, Shuaiji Li, Fan Zhang, Hongtu Zhu, Jieping Ye
http://arxiv.org/abs/2103.04555v1
• [cs.LG]Reinforcement Learning, Bit by Bit
Xiuyuan Lu, Benjamin Van Roy, Vikranth Dwaracherla, Morteza Ibrahimi, Ian Osband, Zheng Wen
http://arxiv.org/abs/2103.04047v1
• [cs.LG]Routing Towards Discriminative Power of Class Capsules
Haoyu Yang, Shuhe Li, Bei Yu
http://arxiv.org/abs/2103.04278v1
• [cs.LG]SCRIB: Set-classifier with Class-specific Risk Bounds for Blackbox Models
Zhen Lin, Cao Xiao, Lucas Glass, M. Brandon Westover, Jimeng Sun
http://arxiv.org/abs/2103.03945v1
• [cs.LG]Self-Supervised Online Reward Shaping in Sparse-Reward Environments
Farzan Memarian, Wonjoon Goo, Rudolf Lioutikov, Ufuk Topcu, Scott Niekum
http://arxiv.org/abs/2103.04529v1
• [cs.LG]Simplicial Complex Representation Learning
Mustafa Hajij, Ghada Zamzmi, Xuanting Cai
http://arxiv.org/abs/2103.04046v1
• [cs.LG]Spectral Tensor Train Parameterization of Deep Learning Layers
Anton Obukhov, Maxim Rakhuba, Alexander Liniger, Zhiwu Huang, Stamatios Georgoulis, Dengxin Dai, Luc Van Gool
http://arxiv.org/abs/2103.04217v1
• [cs.LG]Tensor Laplacian Regularized Low-Rank Representation for Non-uniformly Distributed Data Subspace Clustering
Eysan Mehrbani, Mohammad Hossein Kahaei, Seyed Aliasghar Beheshti
http://arxiv.org/abs/2103.04064v1
• [cs.LG]The Automatic Quasi-clique Merger algorithm (AQCM)
Scott Payne, Edgar Fuller, George Spirou, Cun-Quan Zhang
http://arxiv.org/abs/2103.04186v1
• [cs.LG]The Effect of Q-function Reuse on the Total Regret of Tabular, Model-Free, Reinforcement Learning
Volodymyr Tkachuk, Sriram Ganapathi Subramanian, Matthew E. Taylor
http://arxiv.org/abs/2103.04416v1
• [cs.LG]Toward Semi-Automatic Misconception Discovery Using Code Embeddings
Yang Shi, Krupal Shah, Wengran Wang, Samiha Marwan, Poorvaja Penmetsa, Thomas W. Price
http://arxiv.org/abs/2103.04448v1
• [cs.LG]Vision-Based Mobile Robotics Obstacle Avoidance With Deep Reinforcement Learning
Patrick Wenzel, Torsten Schön, Laura Leal-Taixé, Daniel Cremers
http://arxiv.org/abs/2103.04727v1
• [cs.LG]Visual Explanation using Attention Mechanism in Actor-Critic-based Deep Reinforcement Learning
Hidenori Itaya, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi, Komei Sugiura
http://arxiv.org/abs/2103.04067v1
• [cs.MA]Deep reinforcement learning models the emergent dynamics of human cooperation
Kevin R. McKee, Edward Hughes, Tina O. Zhu, Martin J. Chadwick, Raphael Koster, Antonio Garcia Castaneda, Charlie Beattie, Thore Graepel, Matt Botvinick, Joel Z. Leibo
http://arxiv.org/abs/2103.04982v1
• [cs.NE]Applying Machine Learning in Self-Adaptive Systems: A Systematic Literature Review
Omid Gheibi, Danny Weyns, Federico Quin
http://arxiv.org/abs/2103.04112v1
• [cs.NE]Convolution Neural Network Hyperparameter Optimization Using Simplified Swarm Optimization
Wei-Chang Yeh, Yi-Ping Lin, Yun-Chia Liang, Chyh-Ming Lai
http://arxiv.org/abs/2103.03995v1
• [cs.NI]An Energy Efficient Routing Algorithm for Wireless Sensor Networks Using Mobile Sensors
Meysam Yari, Parham Hadikhani, Mohammad Yaghoubi, Raza Nowrozy, Zohreh Asgharzadeh
http://arxiv.org/abs/2103.04119v1
• [cs.NI]Joint Coding and Scheduling Optimization for Distributed Learning over Wireless Edge Networks
Nguyen Van Huynh, Dinh Thai Hoang, Diep N. Nguyen, Eryk Dutkiewicz
http://arxiv.org/abs/2103.04303v1
• [cs.RO]Adaptive Agent Architecture for Real-time Human-Agent Teaming
Tianwei Ni, Huao Li, Siddharth Agrawal, Suhas Raja, Fan Jia, Yikang Gui, Dana Hughes, Michael Lewis, Katia Sycara
http://arxiv.org/abs/2103.04439v1
• [cs.RO]Adaptive Lidar Scan Frame Integration: Tracking Known MAVs in 3D Point Clouds
Li Qingqing, Yu Xianjia, Jorge Peña Queralta, Tomi Westerlund
http://arxiv.org/abs/2103.04069v1
• [cs.RO]Adaptive-Control-Oriented Meta-Learning for Nonlinear Systems
Spencer M. Richards, Navid Azizan, Jean-Jacques E. Slotine, Marco Pavone
http://arxiv.org/abs/2103.04490v1
• [cs.RO]Autonomous object harvesting using synchronized optoelectronic microrobots
Christopher Bendkowski, Laurent Mennillo, Tao Xu, Mohamed Elsayed, Filip Stojic, Harrison Edwards, Shuailong Zhang, Cindi Morshead, Vijay Pawar, Aaron R. Wheeler, Danail Stoyanov, Michael Shaw
http://arxiv.org/abs/2103.04912v1
• [cs.RO]Bipedal Humanoid Hardware Design: A Technology Review
Grzegorz Ficht, Sven Behnke
http://arxiv.org/abs/2103.04675v1
• [cs.RO]Cascaded Filtering Using the Sigma Point Transformation (Extended Version)
Mohammed Shalaby, Charles Champagne Cossette, Jerome Le Ny, James Richard Forbes
http://arxiv.org/abs/2103.04249v1
• [cs.RO]Co-Designing Robots by Differentiating Motion Solvers
Traiko Dinev, Carlos Mastalli, Vladimir Ivan, Steve Tonneau, Sethu Vijayakumar
http://arxiv.org/abs/2103.04660v1
• [cs.RO]ColoRadar: The Direct 3D Millimeter Wave Radar Dataset
Andrew Kramer, Kyle Harlow, Christopher Williams, Christoffer Heckman
http://arxiv.org/abs/2103.04510v1
• [cs.RO]Comparing Popular Simulation Environments in the Scope of Robotics and Reinforcement Learning
Marian Körber, Johann Lange, Stephan Rediske, Simon Steinmann, Roland Glück
http://arxiv.org/abs/2103.04616v1
• [cs.RO]Correct-by-Construction Navigation Functions with Application to Sensor Based Robot Navigation
Savvas G. Loizou, Elon D. Rimon
http://arxiv.org/abs/2103.04445v1
• [cs.RO]DDGC: Generative Deep Dexterous Grasping in Clutter
Jens Lundell, Francesco Verdoja, Ville Kyrki
http://arxiv.org/abs/2103.04783v1
• [cs.RO]Decentralized 2-Robot Transportation with Local and Indirect Sensing
Monimoy Bujarbaruah, Yvonne R. Stürz, Conrad Holda, Karl H. Johansson, Francesco Borrelli
http://arxiv.org/abs/2103.04460v1
• [cs.RO]Decision-Making under On-Ramp merge Scenarios by Distributional Soft Actor-Critic Algorithm
Yiting Kong, Yang Guan, Jingliang Duan, Shengbo Eben Li, Qi Sun, Bingbing Nie
http://arxiv.org/abs/2103.04535v1
• [cs.RO]Design, Optimal Guidance and Control of a Low-cost Re-usable Electric Model Rocket
Lukas Spannagl, Elias Hampp, Andrea Carron, Jerome Sieber, Carlo Alberto Pascucci, Aldo U. Zgraggen, Alexander Domahidi, Melanie N. Zeilinger
http://arxiv.org/abs/2103.04709v1
• [cs.RO]Developing a Data-Driven Categorical Taxonomy of Emotional Expressions in Real World Human Robot Interactions
Ghazal Saheb Jam, Jimin Rhim, Angelica Lim
http://arxiv.org/abs/2103.04262v1
• [cs.RO]Disambiguating Affective Stimulus Associations for Robot Perception and Dialogue
Henrique Siqueira, Alexander Sutherland, Pablo Barros, Mattias Kerzel, Sven Magg, Stefan Wermter
http://arxiv.org/abs/2103.03940v1
• [cs.RO]Dynamic Lambda-Field: A Counterpart of the Bayesian Occupancy Grid for Risk Assessment in Dynamic Environments
Johann Laconte, Elie Randriamiarintsoa, Abderrahim Kasmi, François Pomerleau, Roland Chapuis, Christophe Debain, Romuald Aufrère
http://arxiv.org/abs/2103.04795v1
• [cs.RO]Dynamic Resource Management for Providing QoS in Drone Delivery Systems
Behzad Khamidehi, Majid Raeis, Elvino S. Sousa
http://arxiv.org/abs/2103.04015v1
• [cs.RO]Estimation of Spatially Correlated Ocean Currents from Ensemble Forecasts and Online Measurements
K. Y. Cadmus To, Felix H. Kong, Ki Myung Brian Lee, Chanyeol Yoo, Stuart Anstee, Robert Fitch
http://arxiv.org/abs/2103.04036v1
• [cs.RO]Exploiting Spherical Projections To Generate Human-Like Wrist Pointing Movements
Carlo Tiseo, Sydney Rebecca Charitos, Michael Mistry
http://arxiv.org/abs/2103.04859v1
• [cs.RO]GANav: Group-wise Attention Network for Classifying Navigable Regions in Unstructured Outdoor Environments
Tianrui Guan, Divya Kothandaraman, Rohan Chandra, Dinesh Manocha
http://arxiv.org/abs/2103.04233v1
• [cs.RO]HANDS: A Multimodal Dataset for Modeling Towards Human Grasp Intent Inference in Prosthetic Hands
Mo Han, Sezen Ya{ğ}mur Günay, Gunar Schirner, Taşkın Padır, Deniz Erdo{ğ}muş
http://arxiv.org/abs/2103.04845v1
• [cs.RO]Human-Piloted Drone Racing: Visual Processing and Control
Christian Pfeiffer, Davide Scaramuzza
http://arxiv.org/abs/2103.04672v1
• [cs.RO]Iterative Program Synthesis for Adaptable Social Navigation
Jarrett Holtz, Simon Andrews, Arjun Guha, Joydeep Biswas
http://arxiv.org/abs/2103.04880v1
• [cs.RO]Learning Unstable Dynamics with One Minute of Data: A Differentiation-based Gaussian Process Approach
Ivan D. Jimenez Rodriguez, Ugo Rosolia, Aaron D. Ames, Yisong Yue
http://arxiv.org/abs/2103.04548v1
• [cs.RO]Learning When to Quit: Meta-Reasoning for Motion Planning
Yoonchang Sung, Leslie Pack Kaelbling, Tomás Lozano-Pérez
http://arxiv.org/abs/2103.04374v1
• [cs.RO]Learning a State Representation and Navigation in Cluttered and Dynamic Environments
David Hoeller, Lorenz Wellhausen, Farbod Farshidian, Marco Hutter
http://arxiv.org/abs/2103.04351v1
• [cs.RO]Let’s be friends! A rapport-building 3D embodied conversational agent for the Human Support Robot
Katarzyna Pasternak, Zishi Wu, Ubbo Visser, Christine Lisetti
http://arxiv.org/abs/2103.04498v1
• [cs.RO]Loosely Synchronized Search for Multi-agent Path Finding with Asynchronous Actions
Zhongqiang Ren, Sivakumar Rathinam, Howie Choset
http://arxiv.org/abs/2103.04516v1
• [cs.RO]MetaView: Few-shot Active Object Recognition
Wei Wei, Haonan Yu, Haichao Zhang, Wei Xu, Ying Wu
http://arxiv.org/abs/2103.04242v1
• [cs.RO]Multimodal VAE Active Inference Controller
Cristian Meo, Pablo Lanillos
http://arxiv.org/abs/2103.04412v1
• [cs.RO]Omni-swarm: An Aerial Swarm System with Decentralized Omni-directional Visual-Inertial-UWB State Estimation
Hao Xu, Yichen Zhang, Boyu Zhou, Luqi Wang, Shaojie Shen
http://arxiv.org/abs/2103.04131v1
• [cs.RO]Rapidly-exploring Random Forest: Adaptively Exploits Local Structure with Generalised Multi-Trees Motion Planning
Tin Lai
http://arxiv.org/abs/2103.04487v1
• [cs.RO]Robopheus: A Virtual-Physical Interactive Mobile Robotic Testbed
Xuda Ding, Han Wang, Hongbo Li, Hao Jiang, Jianping He
http://arxiv.org/abs/2103.04391v1
• [cs.RO]Robotic Visuomotor Control with Unsupervised Forward Model Learned from Videos
Haoqi Yuan, Ruihai Wu, Andrew Zhao, Haipeng Zhang, Zihan Ding, Hao Dong
http://arxiv.org/abs/2103.04301v1
• [cs.RO]Scale invariant robot behavior with fractals
Sam Kriegman, Amir Mohammadi Nasab, Douglas Blackiston, Hannah Steele, Michael Levin, Rebecca Kramer-Bottiglio, Josh Bongard
http://arxiv.org/abs/2103.04876v1
• [cs.RO]Show Me What You Can Do: Capability Calibration on Reachable Workspace for Human-Robot Collaboration
Xiaofeng Gao, Luyao Yuan, Tianmin Shu, Hongjing Lu, Song-Chun Zhu
http://arxiv.org/abs/2103.04077v1
• [cs.RO]Sparsification for Fast Optimal Multi-Robot Path Planning in Lazy Compilation Schemes
Pavel Surynek
http://arxiv.org/abs/2103.04496v1
• [cs.RO]Task-Specific Design Optimization and Fabrication for Inflated-Beam Soft Robots with Growable Discrete Joints
Ioannis Exarchos, Brian H. Do, Fabio Stroppa, Margaret M. Coad, Allison M. Okamura, C. Karen Liu
http://arxiv.org/abs/2103.04942v1
• [cs.RO]Tendon-Driven Soft Robotic Gripper for Berry Harvesting
Anthony L. Gunderman, Jeremy Collins, Andrea Myer, Renee Threlfall, Yue Chen
http://arxiv.org/abs/2103.04270v1
• [cs.RO]Visualizing Robot Intent for Object Handovers with Augmented Reality
Rhys Newbury, Akansel Cosgun, Tysha Crowley-Davis, Wesley P. Chan, Tom Drummond, Elizabeth Croft
http://arxiv.org/abs/2103.04055v1
• [cs.RO]When Being Soft Makes You Tough: A Collision Resilient Quadcopter Inspired by Arthropod Exoskeletons
Ricardo de Azambuja, Hassan Fouad, Giovanni Beltrame
http://arxiv.org/abs/2103.04423v1
• [cs.SD]Analysis and Assessment of Controllability of an Expressive Deep Learning-based TTS system
Noé Tits, Kevin El Haddad, Thierry Dutoit
http://arxiv.org/abs/2103.04097v1
• [cs.SE]Measuring Discrimination to Boost Comparative Testing for Multiple Deep Learning Models
Linghan Meng, Yanhui Li, Lin Chen, Zhi Wang, Di Wu, Yuming Zhou, Baowen Xu
http://arxiv.org/abs/2103.04333v1
• [cs.SE]The Prevalence of Code Smells in Machine Learning projects
Bart van Oort, Luís Cruz, Maurício Aniche, Arie van Deursen
http://arxiv.org/abs/2103.04146v1
• [cs.SE]Towards Human-Like Automated Test Generation: Perspectives from Cognition and Problem Solving
Eduard Enoiu, Robert Feldt
http://arxiv.org/abs/2103.04749v1
• [cs.SI]Estimating Community Feedback Effect on Topic Choice in Social Media with Predictive Modeling
David Ifeoluwa Adelani, Ryota Kobayashi, Ingmar Weber, Przemyslaw A. Grabowicz
http://arxiv.org/abs/2103.04818v1
• [cs.SI]Innovation adoption: Broadcasting vs. Virality
Yujia Zhai, Ying Ding, Hezhao Zhang
http://arxiv.org/abs/2103.04663v1
• [cs.SI]Network Representation Learning: From Traditional Feature Learning to Deep Learning
Ke Sun, Lei Wang, Bo Xu, Wenhong Zhao, Shyh Wei Teng, Feng Xia
http://arxiv.org/abs/2103.04339v1
• [cs.SI]Networked partisanship and framing: a socio-semantic network analysis of the Italian debate on migration
Tommaso Radicioni, Tiziano Squartini, Elena Pavan, Fabio Saracco
http://arxiv.org/abs/2103.04653v1
• [cs.SI]Protect Against Unintentional Insider Threats: The risk of an employee’s cyber misconduct on a Social Media Site
Guerrino Mazzarolo, Juan Carlos Fernandez Casas, Anca Delia Jurcut, Nhien-AnLe-Khac
http://arxiv.org/abs/2103.04744v1
• [cs.SI]The distance backbone of complex networks
Tiago Simas, Rion Brattig Correia, Luis M. Rocha
http://arxiv.org/abs/2103.04668v1
• [econ.EM]Approximate Bayesian inference and forecasting in huge-dimensional multi-country VARs
Martin Feldkircher, Florian Huber, Gary Koop, Michael Pfarrhofer
http://arxiv.org/abs/2103.04944v1
• [econ.EM]The impact of online machine-learning methods on long-term investment decisions and generator utilization in electricity markets
Alexander J. M. Kell, A. Stephen McGough, Matthew Forshaw
http://arxiv.org/abs/2103.04327v1
• [eess.AS]Investigating on Incorporating Pretrained and Learnable Speaker Representations for Multi-Speaker Multi-Style Text-to-Speech
Chung-Ming Chien, Jheng-Hao Lin, Chien-yu Huang, Po-chun Hsu, Hung-yi Lee
http://arxiv.org/abs/2103.04088v1
• [eess.IV]Graph-based Pyramid Global Context Reasoning with a Saliency-aware Projection for COVID-19 Lung Infections Segmentation
Huimin Huang, Ming Cai, Lanfen Lin, Jing Zheng, Xiongwei Mao, Xiaohan Qian, Zhiyi Peng, Jianying Zhou, Yutaro Iwamoto, Xian-Hua Han, Yen-Wei Chen, Ruofeng Tong
http://arxiv.org/abs/2103.04235v1
• [eess.IV]Memory-efficient Learning for High-Dimensional MRI Reconstruction
Ke Wang, Michael Kellman, Christopher M. Sandino, Kevin Zhang, Shreyas S. Vasanawala, Jonathan I. Tamir, Stella X. Yu, Michael Lustig
http://arxiv.org/abs/2103.04003v1
• [eess.IV]Multitasking Deep Learning Model for Detection of Five Stages of Diabetic Retinopathy
Sharmin Majumder, Nasser Kehtarnavaz
http://arxiv.org/abs/2103.04207v1
• [eess.SP]Risk Aware Optimization of Water Sensor Placement
Antonio Candelieri, Andrea Ponti, Francesco Archetti
http://arxiv.org/abs/2103.04862v1
• [eess.SP]Split Computing and Early Exiting for Deep Learning Applications: Survey and Research Challenges
Yoshitomo Matsubara, Marco Levorato, Francesco Restuccia
http://arxiv.org/abs/2103.04505v1
• [eess.SP]Weather Analogs with a Machine Learning Similarity Metric for Renewable Resource Forecasting
Weiming Hu, Guido Cervone, George Young, Luca Delle Monache
http://arxiv.org/abs/2103.04530v1
• [eess.SY]Correlated Deep Q-learning based Microgrid Energy Management
Hao Zhou, Melike Erol-Kantarci
http://arxiv.org/abs/2103.04152v1
• [math.OC]Escaping Saddle Points with Stochastically Controlled Stochastic Gradient Methods
Guannan Liang, Qianqian Tong, Chunjiang Zhu, Jinbo bi
http://arxiv.org/abs/2103.04413v1
• [math.OC]Gradient-augmented Supervised Learning of Optimal Feedback Laws Using State-dependent Riccati Equations
Giacomo Albi, Sara Bicego, Dante Kalise
http://arxiv.org/abs/2103.04091v1
• [math.OC]Retrospective Approximation for Smooth Stochastic Optimization
David Newton, Raghu Bollapragada, Raghu Pasupathy, Nung Kwan Yip
http://arxiv.org/abs/2103.04392v1
• [math.PR]Statistical analysis of discretely sampled semilinear SPDEs: a power variation approach
Igor Cialenco, Hyun-Jung Kim, Gregor Pasemann
http://arxiv.org/abs/2103.04211v1
• [math.ST]Different Estimation Procedures For Topp Leone Exponential And Topp Leone q Exponential Distruibution
Nicy Sebastian, V R Rajitha
http://arxiv.org/abs/2103.03723v1
• [math.ST]Euclidean Representation of Low-Rank Matrices and Its Statistical Applications
Fangzheng Xie
http://arxiv.org/abs/2103.04220v1
• [math.ST]Fairness seen as Global Sensitivity Analysis
Clément Bénesse, Fabrice Gamboa, Jean-Michel Loubes, Thibaut Boissin
http://arxiv.org/abs/2103.04613v1
• [math.ST]Large-Sample Properties of Blind Estimation of the Linear Discriminant Using Projection Pursuit
Una Radojicic, Klaus Nordhausen, Joni Virta
http://arxiv.org/abs/2103.04678v1
• [math.ST]Log-Chisquared P-values under Rare and Weak Departures
Alon Kipnis
http://arxiv.org/abs/2103.03999v1
• [math.ST]Metropolis-Hastings via Classification
Tetsuya Kaji, Veronika Rockova
http://arxiv.org/abs/2103.04177v1
• [math.ST]Multilevel approximation of Gaussian random fields: Covariance compression, estimation and spatial prediction
Helmut Harbrecht, Lukas Herrmann, Kristin Kirchner, Christoph Schwab
http://arxiv.org/abs/2103.04424v1
• [physics.geo-ph]A novel approach to the classification of terrestrial drainage networks based on deep learning and preliminary results on Solar System bodies
Carlo Donadio, Massimo Brescia, Alessia Riccardo, Giuseppe Angora, Michele Delli Veneri, Giuseppe Riccio
http://arxiv.org/abs/2103.04116v1
• [q-bio.GN]RNA Alternative Splicing Prediction with Discrete Compositional Energy Network
Alvin Chan, Anna Korsakova, Yew-Soon Ong, Fernaldo Richtia Winnerdy, Kah Wai Lim, Anh Tuan Phan
http://arxiv.org/abs/2103.04246v1
• [q-bio.MN]Bio-JOIE: Joint Representation Learning of Biological Knowledge Bases
Junheng Hao, Chelsea Ju, Muhao Chen, Yizhou Sun, Carlo Zaniolo, Wei Wang
http://arxiv.org/abs/2103.04283v1
• [q-bio.QM]Molecular modeling with machine-learned universal potential functions
Ke Liu, Zekun Ni, Zhenyu Zhou, Suocheng Tan, Xun Zou, Haoming Xing, Xiangyan Sun, Qi Han, Junqiu Wu, Jie Fan
http://arxiv.org/abs/2103.04162v1
• [quant-ph]Detecting quantum entanglement with unsupervised learning
Yiwei Chen, Yu Pan, Guofeng Zhang, Shuming Cheng
http://arxiv.org/abs/2103.04804v1
• [quant-ph]Quantum interpolating ensemble: Average entropies and orthogonal polynomials
Lu Wei, Nicholas Witte
http://arxiv.org/abs/2103.04231v1
• [quant-ph]The Hintons in your Neural Network: a Quantum Field Theory View of Deep Learning
Roberto Bondesan, Max Welling
http://arxiv.org/abs/2103.04913v1
• [stat.AP]A Review of Spatiotemporal Models for Count Data in R Packages. A Case Study of COVID-19 Data
María Victoria Ibáñez, Marina Martínez-Garcia, Amelia Simó
http://arxiv.org/abs/2103.04697v1
• [stat.AP]A Statistical Perspective on the Challenges in Molecular Microbial Biology
Pratheepa Jeganathan, Susan P. Holmes
http://arxiv.org/abs/2103.04198v1
• [stat.AP]Flexible marked spatio-temporal point processes with applications to event sequences from association football
Santhosh Narayanan, Ioannis Kosmidis, Petros Dellaportas
http://arxiv.org/abs/2103.04647v1
• [stat.AP]Robust decision analysis under severe uncertainty and ambiguous tradeoffs: an invasive species case study
Ullrika Sahlin, Matthias C. M. Troffaes, Lennart Edsman
http://arxiv.org/abs/2103.04721v1
• [stat.AP]Traffic Flows Analysis in High-Speed Computer Networks Using Time Series
G. Millán
http://arxiv.org/abs/2103.03984v1
• [stat.AP]Trends in COVID-19 hospitalisations, outcomes and lengths of stay in England during 2020
Peter D. Kirwan, Suzanne Elgohari, Christopher H. Jackson, Brian D. M. Tom, Sema Mandal, Daniela De Angelis, Anne M. Presanis
http://arxiv.org/abs/2103.04867v1
• [stat.AP]visTree: Visualization of Subgroups for a Decision Tree
Ashwini Venkatasubramaniam, Julian Wolfson
http://arxiv.org/abs/2103.04139v1
• [stat.ME]A reproducing kernel Hilbert space framework for functional data classification
Peijun Sang, Adam B Kashlak, Linglong Kong
http://arxiv.org/abs/2103.04504v1
• [stat.ME]Bayesian Doubly Robust Causal Inference via Loss Functions
Yu Luo, David A. Stephens, Daniel J. Graham, Emma J. McCoy
http://arxiv.org/abs/2103.04086v1
• [stat.ME]Bayesian imaging using Plug & Play priors: when Langevin meets Tweedie
Rémi Laumont, Valentin de Bortoli, Andrés Almansa, Julie Delon, Alain Durmus, Marcelo Pereyra
http://arxiv.org/abs/2103.04715v1
• [stat.ME]Causal Inference in the Time of Covid-19
Matteo Bonvini, Edward Kennedy, Valerie Ventura, Larry Wasserman
http://arxiv.org/abs/2103.04472v1
• [stat.ME]DINA: Estimating Heterogenous Treatment Effects in Exponential Family and Cox Model
Zijun Gao, Trevor Hastie
http://arxiv.org/abs/2103.04277v1
• [stat.ME]Discovering Multiple Phases of Dynamics by Dissecting Multivariate Time Series
Xiaodong Wang, Fushing Hsieh
http://arxiv.org/abs/2103.04615v1
• [stat.ME]Estimating intervention effects on infectious disease control: the effect of community mobility reduction on Coronavirus spread
Andrew Giffin, Wenlong Gong, Suman Majumder, Ana G. Rappold, Brian J. Reich, Shu Yang
http://arxiv.org/abs/2103.04417v1
• [stat.ME]Generalizing trial evidence to target populations in non-nested designs: Applications to AIDS clinical trials
Fan Li, Ashley L. Buchanan, Stephen R. Cole
http://arxiv.org/abs/2103.04907v1
• [stat.ME]Identifying Principal Stratum Causal Effects Conditional on a Post-treatment Intermediate Response
Xiaoqing Tan, Judah Abberbock, Priya Rastogi, Gong Tang
http://arxiv.org/abs/2103.04175v1
• [stat.ME]Improving Bayesian estimation of Vaccine Efficacy
Mauro Gasparini
http://arxiv.org/abs/2103.04462v1
• [stat.ME]On a log-symmetric quantile tobit model applied to female labor supply data
Danúbia R. Cunha, Jose A. Divino, Helton Saulo
http://arxiv.org/abs/2103.04449v1
• [stat.ME]Randomization-based joint central limit theorem and efficient covariate adjustment in stratified factorial experiments
Hanzhong Liu, Jiyang Ren, Yuehan Yang
http://arxiv.org/abs/2103.04050v1
• [stat.ME]Risk Prediction with Imperfect Survival Outcome Information from Electronic Health Records
Stephanie F. Chan, Jue Hou, Xuan Wang, Tianxi Cai
http://arxiv.org/abs/2103.04409v1
• [stat.ME]Transformed Fay-Herriot Model with Measurement Error in Covariates
Sepideh Mosaferi, Malay Ghosh, Rebecca C. Steorts
http://arxiv.org/abs/2103.04025v1
• [stat.ML]Accumulations of Projections—A Unified Framework for Random Sketches in Kernel Ridge Regression
Yifan Chen, Yun Yang
http://arxiv.org/abs/2103.04031v1
• [stat.ML]Asymptotics of Ridge Regression in Convolutional Models
Mojtaba Sahraee-Ardakan, Tung Mai, Anup Rao, Ryan Rossi, Sundeep Rangan, Alyson K. Fletcher
http://arxiv.org/abs/2103.04557v1
• [stat.ML]Causal Reinforcement Learning: An Instrumental Variable Approach
Jin Li, Ye Luo, Xiaowei Zhang
http://arxiv.org/abs/2103.04021v1
• [stat.ML]Efficient Causal Inference from Combined Observational and Interventional Data through Causal Reductions
Maximilian Ilse, Patrick Forré, Max Welling, Joris M. Mooij
http://arxiv.org/abs/2103.04786v1
• [stat.ML]Hierarchical Causal Bandit
Ruiyang Song, Stefano Rini, Kuang Xu
http://arxiv.org/abs/2103.04215v1
• [stat.ML]Low-Rank Sinkhorn Factorization
Meyer Scetbon, Marco Cuturi, Gabriel Peyré
http://arxiv.org/abs/2103.04737v1
• [stat.ML]Signal Processing on the Permutahedron: Tight Spectral Frames for Ranked Data Analysis
Ellen Chen, Jennifer DeJong, Tom Halverson, David I Shuman
http://arxiv.org/abs/2103.04150v1
若有收获，就点个赞吧
0 人点赞
