cs.AI - 人工智能
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.DL - 数字图书馆
cs.DM - 离散数学
cs.HC - 人机接口
cs.IR - 信息检索
cs.IT - 信息论
cs.LG - 自动学习
cs.LO - 计算逻辑
cs.MA - 多代理系统
cs.MM - 多媒体
cs.NE - 神经与进化计算
cs.PF - 计算性能
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.NT - 数论
math.OC - 优化与控制
math.ST - 统计理论
physics.chem-ph -化学物理
physics.flu-dyn - 流体动力学
physics.optics - 光学
physics.soc-ph - 物理学与社会
quant-ph - 量子物理
stat.AP - 应用统计
stat.CO - 统计计算
stat.ME - 统计方法论
stat.ML - (统计)机器学习
• [cs.AI]Attribute Selection using Contranominal Scales
• [cs.AI]Discrepancies in Epidemiological Modeling of Aggregated Heterogeneous Data
• [cs.AI]Improving Label Quality by Jointly Modeling Items and Annotators
• [cs.AI]Learning Space Partitions for Path Planning
• [cs.AI]MILP, pseudo-boolean, and OMT solvers for optimal fault-tolerant placements of relay nodes in mission critical wireless networks
• [cs.AI]Multi-Task Learning for User Engagement and Adoption in Live Video Streaming Events
• [cs.AI]On Limited-Memory Subsampling Strategies for Bandits
• [cs.AI]Optimal personalised treatment computation through in silico clinical trials on patient digital twins
• [cs.AI]Proper Value Equivalence
• [cs.AI]Score-Based Explanations in Data Management and Machine Learning: An Answer-Set Programming Approach to Counterfactual Analysis
• [cs.CL]A Brief Study on the Effects of Training Generative Dialogue Models with a Semantic loss
• [cs.CL]A Condense-then-Select Strategy for Text Summarization
• [cs.CL]A Discriminative Entity-Aware Language Model for Virtual Assistants
• [cs.CL]Ad Text Classification with Transformer-Based Natural Language Processing Methods
• [cs.CL]ArgFuse: A Weakly-Supervised Framework for Document-Level Event Argument Aggregation
• [cs.CL]CIL: Contrastive Instance Learning Framework for Distantly Supervised Relation Extraction
• [cs.CL]CPM-2: Large-scale Cost-effective Pre-trained Language Models
• [cs.CL]Calliar: An Online Handwritten Dataset for Arabic Calligraphy
• [cs.CL]Challenges in Translation of Emotions in Multilingual User-Generated Content: Twitter as a Case Study
• [cs.CL]Conversational Agents in Software Engineering: Survey, Taxonomy and Challenges
• [cs.CL]Do Encoder Representations of Generative Dialogue Models Encode Sufficient Information about the Task ?
• [cs.CL]Does Robustness Improve Fairness? Approaching Fairness with Word Substitution Robustness Methods for Text Classification
• [cs.CL]Empower Distantly Supervised Relation Extraction with Collaborative Adversarial Training
• [cs.CL]Enhancing Question Generation with Commonsense Knowledge
• [cs.CL]Explicit Interaction Network for Aspect Sentiment Triplet Extraction
• [cs.CL]Extractive approach for text summarisation using graphs
• [cs.CL]Hybrid approach to detecting symptoms of depression in social media entries
• [cs.CL]Iterative Network Pruning with Uncertainty Regularization for Lifelong Sentiment Classification
• [cs.CL]JointGT: Graph-Text Joint Representation Learning for Text Generation from Knowledge Graphs
• [cs.CL]Learning to Rank Question Answer Pairs with Bilateral Contrastive Data Augmentation
• [cs.CL]Multi-Pair Text Style Transfer on Unbalanced Data
• [cs.CL]Out of Context: A New Clue for Context Modeling of Aspect-based Sentiment Analysis
• [cs.CL]Pay Better Attention to Attention: Head Selection in Multilingual and Multi-Domain Sequence Modeling
• [cs.CL]Process for Adapting Language Models to Society (PALMS) with Values-Targeted Datasets
• [cs.CL]ROPE: Reading Order Equivariant Positional Encoding for Graph-based Document Information Extraction
• [cs.CL]STEP-EZ: Syntax Tree guided semantic ExPlanation for Explainable Zero-shot modeling of clinical depression symptoms from text
• [cs.CL]Self-Calibrating Neural-Probabilistic Model for Authorship Verification Under Covariate Shift
• [cs.CL]Transformers for Headline Selection for Russian News Clusters
• [cs.CL]TweeNLP: A Twitter Exploration Portal for Natural Language Processing
• [cs.CR]Non-parametric Differentially Private Confidence Intervals for the Median
• [cs.CR]Privacy-preserving Publication and Sharing of COVID-19 Pandemic Data
• [cs.CV]3D Object Detection for Autonomous Driving: A Survey
• [cs.CV]3D Shape Registration Using Spectral Graph Embedding and Probabilistic Matching
• [cs.CV]A system of vision sensor based deep neural networks for complex driving scene analysis in support of crash risk assessment and prevention
• [cs.CV]AdaZoom: Adaptive Zoom Network for Multi-Scale Object Detection in Large Scenes
• [cs.CV]Adversarial Manifold Matching via Deep Metric Learning for Generative Modeling
• [cs.CV]Affect-driven Engagement Measurement from Videos
• [cs.CV]An End-to-End Khmer Optical Character Recognition using Sequence-to-Sequence with Attention
• [cs.CV]Attack to Fool and Explain Deep Networks
• [cs.CV]Attend What You Need: Motion-Appearance Synergistic Networks for Video Question Answering
• [cs.CV]Augmented 2D-TAN: A Two-stage Approach for Human-centric Spatio-Temporal Video Grounding
• [cs.CV]Automated Deepfake Detection
• [cs.CV]Automatic Plant Cover Estimation with CNNs Automatic Plant Cover Estimation with Convolutional Neural Networks
• [cs.CV]CAMERAS: Enhanced Resolution And Sanity preserving Class Activation Mapping for image saliency
• [cs.CV]CLIP2Video: Mastering Video-Text Retrieval via Image CLIP
• [cs.CV]CUDA-GR: Controllable Unsupervised Domain Adaptation for Gaze Redirection
• [cs.CV]Can poachers find animals from public camera trap images?
• [cs.CV]CenterAtt: Fast 2-stage Center Attention Network
• [cs.CV]CompConv: A Compact Convolution Module for Efficient Feature Learning
• [cs.CV]Confidence-Guided Radiology Report Generation
• [cs.CV]Crop-Transform-Paste: Self-Supervised Learning for Visual Tracking
• [cs.CV]Cross-layer Navigation Convolutional Neural Network for Fine-grained Visual Classification
• [cs.CV]Delving into the pixels of adversarial samples
• [cs.CV]DiGS : Divergence guided shape implicit neural representation for unoriented point clouds
• [cs.CV]Distilling effective supervision for robust medical image segmentation with noisy labels
• [cs.CV]Dynamical Deep Generative Latent Modeling of 3D Skeletal Motion
• [cs.CV]Exploring Semantic Relationships for Unpaired Image Captioning
• [cs.CV]Exploring Vision Transformers for Fine-grained Classification
• [cs.CV]Exploring Visual Context for Weakly Supervised Person Search
• [cs.CV]FP-Age: Leveraging Face Parsing Attention for Facial Age Estimation in the Wild
• [cs.CV]Fast Simultaneous Gravitational Alignment of Multiple Point Sets
• [cs.CV]FloorPP-Net: Reconstructing Floor Plans using Point Pillars for Scan-to-BIM
• [cs.CV]Hard hat wearing detection based on head keypoint localization
• [cs.CV]Humble Teachers Teach Better Students for Semi-Supervised Object Detection
• [cs.CV]Informative Class Activation Maps
• [cs.CV]Interactive Object Segmentation with Dynamic Click Transform
• [cs.CV]Interpretable Face Manipulation Detection via Feature Whitening
• [cs.CV]Interventional Video Grounding with Dual Contrastive Learning
• [cs.CV]Knowledge Distillation via Instance-level Sequence Learning
• [cs.CV]Large-scale image segmentation based on distributed clustering algorithms
• [cs.CV]Learning to Track Object Position through Occlusion
• [cs.CV]Low-Power Multi-Camera Object Re-Identification using Hierarchical Neural Networks
• [cs.CV]MSN: Efficient Online Mask Selection Network for Video Instance Segmentation
• [cs.CV]Mobile Sensing for Multipurpose Applications in Transportation
• [cs.CV]More than Encoder: Introducing Transformer Decoder to Upsample
• [cs.CV]Moving in a 360 World: Synthesizing Panoramic Parallaxes from a Single Panorama
• [cs.CV]Multi-VAE: Learning Disentangled View-common and View-peculiar Visual Representations for Multi-view Clustering
• [cs.CV]Multiple Object Tracking with Mixture Density Networks for Trajectory Estimation
• [cs.CV]Neighborhood Contrastive Learning for Novel Class Discovery
• [cs.CV]NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction
• [cs.CV]Neural Marching Cubes
• [cs.CV]Neural Network Facial Authentication for Public Electric Vehicle Charging Station
• [cs.CV]OadTR: Online Action Detection with Transformers
• [cs.CV]Obstacle Detection for BVLOS Drones
• [cs.CV]One Million Scenes for Autonomous Driving: ONCE Dataset
• [cs.CV]PIANO: A Parametric Hand Bone Model from Magnetic Resonance Imaging
• [cs.CV]Place recognition survey: An update on deep learning approaches
• [cs.CV]Plant Disease Detection Using Image Processing and Machine Learning
• [cs.CV]Practical Transferability Estimation for Image Classification Tasks
• [cs.CV]Pre-training also Transfers Non-Robustness
• [cs.CV]Quality-Aware Memory Network for Interactive Volumetric Image Segmentation
• [cs.CV]ReGO: Reference-Guided Outpainting for Scenery Image
• [cs.CV]Remote Sensing Images Semantic Segmentation with General Remote Sensing Vision Model via a Self-Supervised Contrastive Learning Method
• [cs.CV]Robust Pooling through the Data Mode
• [cs.CV]SHREC 2021: Track on Skeleton-based Hand Gesture Recognition in the Wild
• [cs.CV]SODA10M: Towards Large-Scale Object Detection Benchmark for Autonomous Driving
• [cs.CV]Segmentation of cell-level anomalies in electroluminescence images of photovoltaic modules
• [cs.CV]Simple Distillation Baselines for Improving Small Self-supervised Models
• [cs.CV]Single View Physical Distance Estimation using Human Pose
• [cs.CV]Solution for Large-scale Long-tailed Recognition with Noisy Labels
• [cs.CV]Structured Sparse R-CNN for Direct Scene Graph Generation
• [cs.CV]Supervised learning for crop/weed classification based on color and texture features
• [cs.CV]Surgical data science for safe cholecystectomy: a protocol for segmentation of hepatocystic anatomy and assessment of the critical view of safety
• [cs.CV]TCIC: Theme Concepts Learning Cross Language and Vision for Image Captioning
• [cs.CV]TGRNet: A Table Graph Reconstruction Network for Table Structure Recognition
• [cs.CV]TNT: Text-Conditioned Network with Transductive Inference for Few-Shot Video Classification
• [cs.CV]Tag, Copy or Predict: A Unified Weakly-Supervised Learning Framework for Visual Information Extraction using Sequences
• [cs.CV]Temporal Early Exits for Efficient Video Object Detection
• [cs.CV]The Animal ID Problem: Continual Curation
• [cs.CV]The Arm-Swing Is Discriminative in Video Gait Recognition for Athlete Re-Identification
• [cs.CV]ToAlign: Task-oriented Alignment for Unsupervised Domain Adaptation
• [cs.CV]TokenLearner: What Can 8 Learned Tokens Do for Images and Videos?
• [cs.CV]Total Generate: Cycle in Cycle Generative Adversarial Networks for Generating Human Faces, Hands, Bodies, and Natural Scenes
• [cs.CV]Towards Long-Form Video Understanding
• [cs.CV]Towards Single Stage Weakly Supervised Semantic Segmentation
• [cs.CV]Trainable Class Prototypes for Few-Shot Learning
• [cs.CV]Two-Stream Consensus Network: Submission to HACS Challenge 2021 Weakly-Supervised Learning Track
• [cs.CV]Unbalanced Feature Transport for Exemplar-based Image Translation
• [cs.CV]Understanding Object Dynamics for Interactive Image-to-Video Synthesis
• [cs.CV]Unsupervised Deep Learning by Injecting Low-Rank and Sparse Priors
• [cs.CV]VIMPAC: Video Pre-Training via Masked Token Prediction and Contrastive Learning
• [cs.CV]VQA-Aid: Visual Question Answering for Post-Disaster Damage Assessment and Analysis
• [cs.CV]Video Summarization through Reinforcement Learning with a 3D Spatio-Temporal U-Net
• [cs.CV]Visual Probing: Cognitive Framework for Explaining Self-Supervised Image Representations
• [cs.CY]A Comparative Study of Online Disinformation and Offline Protests
• [cs.CY]Fostering Student Engagement in a Mobile Formative Assessment System for High-School Economics
• [cs.CY]Reassessing Measures for Press Freedom
• [cs.DB]A Generic Distributed Clustering Framework for Massive Data
• [cs.DB]Demonstration of Panda: A Weakly Supervised Entity Matching System
• [cs.DC]Evaluating Spatial Accelerator Architectures with Tiled Matrix-Matrix Multiplication
• [cs.DC]Jolteon and Ditto: Network-Adaptive Efficient Consensus with Asynchronous Fallback
• [cs.DL]On predicting research grants productivity
• [cs.DM]Abstract Geometrical Computation 11: Slanted Firing Squad Synchronisation on Signal Machines
• [cs.G 32ee T]Proceedings Eighteenth Conference on Theoretical Aspects of Rationality and Knowledge
• [cs.HC]Anticipatory Detection of Compulsive Body-focused Repetitive Behaviors with Wearables
• [cs.IR]A Comprehensive Review on Non-Neural Networks Collaborative Filtering Recommendation Systems
• [cs.IR]BanditMF: Multi-Armed Bandit Based Matrix Factorization Recommender System
• [cs.IR]Computational Pronunciation Analysis in Sung Utterances
• [cs.IR]Context-Aware Legal Citation Recommendation using Deep Learning
• [cs.IR]Data Optimisation for a Deep Learning Recommender System
• [cs.IR]DisenHAN: Disentangled Heterogeneous Graph Attention Network for Recommendation
• [cs.IR]Leveraging Multiple Online Sources for Accurate Income Verification
• [cs.IR]On Sampling Top-K Recommendation Evaluation
• [cs.IR]Pseudo-Relevance Feedback for Multiple Representation Dense Retrieval
• [cs.IT]Algorithm Unrolling for Massive Access via Deep Neural Network with Theoretical Guarantee
• [cs.IT]Coded Faster-than-Nyquist Signaling for Short Packet Communications
• [cs.IT]Competitive MA-DRL for Transmit Power Pool Design in Semi-Grant-Free NOMA Systems
• [cs.IT]Deep Learning for Intelligent Wireless MAC: Exploiting Real Data Sampled on 2.4GHz Frequency Band
• [cs.IT]Deep Learning-Based Active User Detection for Grant-free SCMA Systems
• [cs.IT]Deep Neural Network-Based Blind Multiple User Detection for Grant-free Multi-User Shared Access
• [cs.IT]Improved Private and Secure Distributed (Batch) Matrix Multiplication
• [cs.IT]Infinite families of linear codes supporting more $t$-designs
• [cs.IT]Linear Codes Associated to Symmetric Determinantal Varieties: Even Rank Case
• [cs.IT]ML and MAP Device Activity Detections for Grant-Free Massive Access in Multi-Cell Networks
• [cs.IT]Near-Optimal Pool Testing under Urgency Constraints
• [cs.IT]On decoding of a specific type of self-dual codes
• [cs.IT]On the Capacity-Achieving Input of Channels with Phase Quantization
• [cs.IT]On the Ergodic Capacity of Reconfigurable Intelligent Surface (RIS)-Aided MIMO Channels
• [cs.IT]Performance Evaluation of Cooperative NOMA-based Improved Hybrid SWIPT Protocol
• [cs.IT]Realizing Neural Decoder at the Edge with Ensembled BNN
• [cs.IT]Spatial Covariance Matrix Reconstruction for DOA Estimation in Hybrid Massive MIMO Systems with Multiple Radio Frequency Chains
• [cs.IT]Strong Singleton type upper bounds for linear insertion-deletion codes
• [cs.IT]Universal Rate-Distortion-Perception Representations for Lossy Compression
• [cs.IT]Wireless Communication Aided by Intelligent Reflecting Surface: Active or Passive?
• [cs.LG]A Game-Theoretic Taxonomy of Visual Concepts in DNNs
• [cs.LG]A Max-Min Entropy Framework for Reinforcement Learning
• [cs.LG]A Unified View of Algorithms for Path Planning Using Probabilistic Inference on Factor Graphs
• [cs.LG]A causal view on compositional data
• [cs.LG]A compressive multi-kernel method for privacy-preserving machine learning
• [cs.LG]AOMD: An Analogy-aware Approach to Offensive Meme Detection on Social Media
• [cs.LG]Accelerated Policy Evaluation: Learning Adversarial Environments with Adaptive Importance Sampling
• [cs.LG]Active Learning for Deep Neural Networks on Edge Devices
• [cs.LG]Adversarial Attack on Graph Neural Networks as An Influence Maximization Problem
• [cs.LG]Adversarial Examples Make Strong Poisons
• [cs.LG]Analytically Tractable Bayesian Deep Q-Learning
• [cs.LG]Approximation capabilities of measure-preserving neural networks
• [cs.LG]Attention-based Neural Network for Driving Environment Complexity Perception
• [cs.LG]Bayesian inference of ODEs with Gaussian processes
• [cs.LG]BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation
• [cs.LG]Better Training using Weight-Constrained Stochastic Dynamics
• [cs.LG]Boosting Offline Reinforcement Learning with Residual Generative Modeling
• [cs.LG]Boundary Graph Neural Networks for 3D Simulations
• [cs.LG]CD-SGD: Distributed Stochastic Gradient Descent with Compression and Delay Compensation
• [cs.LG]Can contrastive learning avoid shortcut solutions?
• [cs.LG]Cogradient Descent for Dependable Learning
• [cs.LG]Compositional Federated Learning: Applications in Distributionally Robust Averaging and Meta Learning
• [cs.LG]Compressing Deep ODE-Nets using Basis Function Expansions
• [cs.LG]Conditional Neural Relational Inference for Interacting Systems
• [cs.LG]Contrastive Multi-Modal Clustering
• [cs.LG]Corruption Robust Active Learning
• [cs.LG]Decadal Forecasts with ResDMD: a Residual DMD Neural Network
• [cs.LG]Deep Generative Learning via Schrödinger Bridge
• [cs.LG]Deep Spatio-Temporal Forecasting of Electrical Vehicle Charging Demand
• [cs.LG]Dependency Structure Misspecification in Multi-Source Weak Supervision Models
• [cs.LG]Does Optimal Source Task Performance Imply Optimal Pre-training for a Target Task?
• [cs.LG]Effects of boundary conditions in fully convolutional networks for learning spatio-temporal dynamics
• [cs.LG]EvoGrad: Efficient Gradient-Based Meta-Learning and Hyperparameter Optimization
• [cs.LG]Fast PDN Impedance Prediction Using Deep Learning
• [cs.LG]FedCM: Federated Learning with Client-level Momentum
• [cs.LG]FedXGBoost: Privacy-Preserving XGBoost for Federated Learning
• [cs.LG]Federated Learning with Positive and Unlabeled Data
• [cs.LG]Friendly Training: Neural Networks Can Adapt Data To Make Learning Easier
• [cs.LG]GRAND: Graph Neural Diffusion
• [cs.LG]Generalization in the Face of Adaptivity: A Bayesian Perspective
• [cs.LG]Graceful Degradation and Related Fields
• [cs.LG]Graph Attention Networks with LSTM-based Path Reweighting
• [cs.LG]Graph Neural Networks for Learning Real-Time Prices in Electricity Market
• [cs.LG]GraphMixup: Improving Class-Imbalanced Node Classification on Graphs by Self-supervised Context Prediction
• [cs.LG]Group-Structured Adversarial Training
• [cs.LG]Heterogeneous Multi-task Learning with Expert Diversity
• [cs.LG]How Do Adam and Training Strategies Help BNNs Optimization?
• [cs.LG]Improving Compositional Generalization in Classification Tasks via Structure Annotations
• [cs.LG]Improving Multi-Modal Learning with Uni-Modal Teachers
• [cs.LG]Is Shapley Value fair? Improving Client Selection for Mavericks in Federated Learning
• [cs.LG]Learning Timestamp-Level Representations for Time Series with Hierarchical Contrastive Loss
• [cs.LG]Learning and Generalization in Overparameterized Normalizing Flows
• [cs.LG]Leveraging Conditional Generative Models in a General Explanation Framework of Classifier Decisions
• [cs.LG]Leveraging Language to Learn Program Abstractions and Search Heuristics
• [cs.LG]Lossy Compression for Lossless Prediction
• [cs.LG]Low-rank Dictionary Learning for Unsupervised Feature Selection
• [cs.LG]Machine learning in the social and health sciences
• [cs.LG]Matrix Encoding Networks for Neural Combinatorial Optimization
• [cs.LG]Memory Augmented Optimizers for Deep Learning
• [cs.LG]Multiplying Matrices Without Multiplying
• [cs.LG]Multirate Training of Neural Networks
• [cs.LG]Multivariate Data Explanation by Jumping Emerging Patterns Visualization
• [cs.LG]Nearly Minimax Optimal Adversarial Imitation Learning with Known and Unknown Transitions
• [cs.LG]Neural Controlled Differential Equations for Online Prediction Tasks
• [cs.LG]Neural Network Classifier as Mutual Information Evaluator
• [cs.LG]Neural Spectral Marked Point Processes
• [cs.LG]Neural network interpretability for forecasting of aggregated renewable generation
• [cs.LG]On Stein Variational Neural Network Ensembles
• [cs.LG]On fine-tuning of Autoencoders for Fuzzy rule classifiers
• [cs.LG]On the Cryptographic Hardness of Learning Single Periodic Neurons
• [cs.LG]Open-set Label Noise Can Improve Robustness Against Inherent Label Noise
• [cs.LG]Opportunities and challenges in partitioning the graph measure space of real-world networks
• [cs.LG]OptiDICE: Offline Policy Optimization via Stationary Distribution Correction Estimation
• [cs.LG]Optimal Strategies for Decision Theoretic Online Learning
• [cs.LG]Practical Assessment of Generalization Performance Robustness for Deep Networks via Contrastive Examples
• [cs.LG]Prediction of the facial growth direction with Machine Learning methods
• [cs.LG]Prediction-Free, Real-Time Flexible Control of Tidal Lagoons through Proximal Policy Optimisation: A Case Study for the Swansea Lagoon
• [cs.LG]QuaPy: A Python-Based Framework for Quantification
• [cs.LG]Regularization is all you Need: Simple Neural Nets can Excel on Tabular Data
• [cs.LG]Robust M-estimation-based Tensor Ring Completion: a Half-quadratic Minimization Approach
• [cs.LG]Robust Regression via Model Based Methods
• [cs.LG]STEM: A Stochastic Two-Sided Momentum Algorithm Achieving Near-Optimal Sample and Communication Complexities for Federated Learning
• [cs.LG]Scenic4RL: Programmatic Modeling and Generation of Reinforcement Learning Environments
• [cs.LG]Secure Distributed Training at Scale
• [cs.LG]Semi-supervised Optimal Transport with Self-paced Ensemble for Cross-hospital Sepsis Early Detection
• [cs.LG]Smooth Sequential Optimisation with Delayed Feedback
• [cs.LG]Sparse Training via Boosting Pruning Plasticity with Neuroregeneration
• [cs.LG]Stability of Graph Convolutional Neural Networks to Stochastic Perturbations
• [cs.LG]TD-GEN: Graph Generation With Tree Decomposition
• [cs.LG]Task Attended Meta-Learning for Few-Shot Learning
• [cs.LG]Teacher’s pet: understanding and mitigating biases in distillation
• [cs.LG]The Perils of Learning Before Optimizing
• [cs.LG]TinyML: Analysis of Xtensa LX6 microprocessor for Neural Network Applications by ESP32 SoC
• [cs.LG]Towards Better Shale Gas Production Forecasting Using Transfer Learning
• [cs.LG]Towards a Query-Optimal and Time-Efficient Algorithm for Clustering with a Faulty Oracle
• [cs.LG]Transfer Bayesian Meta-learning via Weighted Free Energy Minimization
• [cs.LG]Variance-Dependent Best Arm Identification
• [cs.LG]Vehicle Trajectory Prediction in City-scale Road Networks using a Direction-based Sequence-to-Sequence Model with Spatiotemporal Attention Mechanisms
• [cs.LG]iDARTS: Differentiable Architecture Search with Stochastic Implicit Gradients
• [cs.LO]Defeasible Reasoning via Datalog$^\neg$
• [cs.MA]Curriculum-Driven Multi-Agent Learning and the Role of Implicit Communication in Teamwork
• [cs.MM]Multi-Contextual Design of Convolutional Neural Network for Steganalysis
• [cs.NE]The Role of Evolution in Machine Intelligence
• [cs.PF]AutoTune: Improving End-to-end Performance and Resource Efficiency for Microservice Applications
• [cs.RO]Domain and Modality Gaps for LiDAR-based Person Detection on Mobile Robots
• [cs.RO]Exoskeleton-Based Multimodal Action and Movement Recognition: Identifying and Developing the Optimal Boosted Learning Approach
• [cs.RO]Grasping Benchmarks: Normalizing for Object Size & Approximating Hand Workspaces
• [cs.RO]Guiding vector fields in Paparazzi autopilot
• [cs.RO]HapFIC: An Adaptive Force/Position Controller for Safe Environment Interaction in Articulated Systems
• [cs.RO]High-level Features for Resource Economy and Fast Learning in Skill Transfer
• [cs.RO]Image-guided Breast Biopsy of MRI-visible Lesions with a Hand-mounted Motorised Needle Steering Tool
• [cs.RO]Investigating the role of educational robotics in formal mathematics education: the case of geometry for 15-year-old students
• [cs.RO]On the Importance of Environments in Human-Robot Coordination
• [cs.RO]PHYSFRAME: Type Checking Physical Frames of Reference for Robotic Systems
• [cs.RO]Sample Efficient Social Navigation Using Inverse Reinforcement Learning
• [cs.RO]Towards a Framework for Changing-Contact Robot Manipulation
• [cs.SD]Advances in Speech Vocoding for Text-to-Speech with Continuous Parameters
• [cs.SD]Affinity Mixup for Weakly Supervised Sound Event Detection
• [cs.SD]EML Online Speech Activity Detection for the Fearless Steps Challenge Phase-III
• [cs.SE]GLIB: Towards Automated Test Oracle for Graphically-Rich Applications
• [cs.SI]Dynamics of Disruption in Science and Technology
• [cs.SI]FauxWard: A Graph Neural Network Approach to Fauxtography Detection Using Social Media Comments
• [cs.SI]Finding critical edges in complex networks through local information
• [cs.SI]Flipping Stance: Social Influence on Bot’s and Non Bot’s COVID Vaccine Stance
• [cs.SI]Large-Scale Network Embedding in Apache Spark
• [cs.SI]MetaDetector: Meta Event Knowledge Transfer for Fake News Detection
• [cs.SI]Overall Behavioural Index (OBI) For Measuring Segregation
• [cs.SI]Predicting Critical Nodes in Temporal Networks by Dynamic Graph Convolutional Networks
• [cs.SI]Pricing Social Visibility Service in Online Social Networks: Modeling and Algorithms
• [cs.SI]Say Their Names: Resurgence in the collective attention toward Black victims of fatal police violence following the death of George Floyd
• [cs.SI]Two-Faced Humans on Twitter and Facebook: Harvesting Social Multimedia for Human Personality Profiling
• [econ.EM]On Testing Equal Conditional Predictive Ability Under Measurement Error
• [eess.AS]GPLA-12: An Acoustic Signal Dataset of Gas Pipeline Leakage
• [eess.AS]Non-native English lexicon creation for bilingual speech synthesis
• [eess.AS]UniTTS: Residual Learning of Unified Embedding Space for Speech Style Control
• [eess.IV]Applying VertexShuffle Toward 360-Degree Video Super-Resolution on Focused-Icosahedral-Mesh
• [eess.IV]Brain tumor grade classification Using LSTM Neural Networks with Domain Pre-Transforms
• [eess.IV]CataNet: Predicting remaining cataract surgery duration
• [eess.IV]Direct Reconstruction of Linear Parametric Images from Dynamic PET Using Nonlocal Deep Image Prior
• [eess.IV]Estimating MRI Image Quality via Image Reconstruction Uncertainty
• [eess.IV]Fully automated quantification of in vivo viscoelasticity of prostate zones using magnetic resonance elastography with Dense U-net segmentation
• [eess.IV]Generative Model Adversarial Training for Deep Compressed Sensing
• [eess.IV]Implementing a Detection System for COVID-19 based on Lung Ultrasound Imaging and Deep Learning
• [eess.IV]Nuclei Grading of Clear Cell Renal Cell Carcinoma in Histopathological Image by Composite High-Resolution Network
• [eess.IV]One-to-many Approach for Improving Super-Resolution
• [eess.IV]Reversible Colour Density Compression of Images using cGANs
• [eess.IV]Underwater Image Restoration via Contrastive Learning and a Real-world Dataset
• [eess.SP]Active and Dynamic Beam Tracking UnderStochastic Mobility
• [eess.SP]EMG Signal Classification Using Reflection Coefficients and Extreme Value Machine
• [eess.SP]Electromagnetic Interference in RIS-Aided Communications
• [eess.SP]Learning Signal Representations for EEG Cross-Subject Channel Selection and Trial Classification
• [eess.SP]Machine Learning based optimization for interval uncertainty propagation with application to vibro-acoustic models
• [eess.SP]Parallel frequency function-deep neural network for efficient complex broadband signal approximation
• [eess.SP]Signal Processing Based Deep Learning for Blind Symbol Decoding and Modulation Classification
• [eess.SY]Brushless Motor Performance Optimization by Eagle Strategy with Firefly and PSO
• [eess.SY]DiffLoop: Tuning PID controllers by differentiating through the feedback loop
• [eess.SY]Learning to Reach, Swim, Walk and Fly in One Trial: Data-Driven Control with Scarce Data and Side Information
• [eess.SY]Minimizing Delay in Network Function Visualization with Quantum Computing
• [eess.SY]Parallel Statistical Model Checking for Safety Verification in Smart Grids
• [math.NT]Solving the linear approximation problem
• [math.OC]Complexity-Free Generalization via Distributionally Robust Optimization
• [math.OC]Distributed Picard Iteration: Application to Distributed EM and Distributed PCA
• [math.OC]QUBO transformation using Eigenvalue Decomposition
• [math.ST]Some smooth sequential empirical copula processes and their multiplier bootstraps under strong mixing
• [math.ST]Weighted Fractional Generalized Cumulative Past Entropy
• [physics.chem-ph]Representations and Strategies for Transferable Machine Learning Models in Chemical Discovery
• [physics.flu-dyn]Scientific multi-agent reinforcement learning for wall-models of turbulent flows
• [physics.optics]Fundamental bounds on the precision of iSCAT, COBRI and dark-field microscopy for 3D localization and mass photometry
• [physics.soc-ph]Cumulative structure and path length in networks of knowledge
• [physics.soc-ph]Intersectional synergies: untangling irreducible effects of intersecting identities via information decomposition
• [quant-ph]QFCNN: Quantum Fourier Convolutional Neural Network
• [quant-ph]Quantum Machine Learning: Fad or Future?
• [quant-ph]Rényi divergence inequalities via interpolation, with applications to generalised entropic uncertainty relations
• [stat.AP]Bayesian decision theory for tree-based adaptive screening tests with an application to youth delinquency
• [stat.AP]Combined tests based on restricted mean time lost for competing risks data
• [stat.AP]Dynamic prediction and analysis based on restricted mean survival time in survival analysis with nonproportional hazards
• [stat.AP]Geographic and Racial Disparities in the Incidence of Low Birthweight in Pennsylvania
• [stat.AP]The Expected Value of Perfect Information for Risk Prediction Models
• [stat.CO]Circuits for robust designs
• [stat.CO]Life-cycle assessment for flutter probability of a long-span suspension bridge based on field monitoring data
• [stat.ME]A generalized EMS algorithm for model selection with incomplete data
• [stat.ME]Bayesian inference for continuous-time hidden Markov models with an unknown number of states
• [stat.ME]Choosing the Estimand When Matching or Weighting in Observational Studies
• [stat.ME]Constrained randomization and statistical inference for multi-arm parallel cluster randomized controlled trials
• [stat.ME]Discussion on Competition for Spatial Statistics for Large Datasets
• [stat.ME]Dynamic group testing to control and monitor disease progression in a population
• [stat.ME]Estimation of time-specific intervention effects on continuously distributed time-to-event outcomes by targeted maximum likelihood estimation
• [stat.ME]Fasano-Franceschini Test: an Implementation of a 2-Dimensional Kolmogorov-Smirnov test in R
• [stat.ME]Generalized Spatial and Spatiotemporal ARCH Models
• [stat.ME]On the bimodal Gumbel model with application to environmental data
• [stat.ME]Robust Hierarchical Modeling of Counts under Zero-inflation and Outliers
• [stat.ME]Scalable Bayesian change point detection with spike and slab priors
• [stat.ME]Scalable Bayesian inference for time series via divide-and-conquer
• [stat.ME]Sparse logistic regression on functional data
• [stat.ME]Systemic Infinitesimal Over-dispersion on General Stochastic Graphical Models
• [stat.ME]The Tangent Exponential Model
• [stat.ME]Tumor Radiogenomics with Bayesian Layered Variable Selection
• [stat.ME]maars: Tidy Inference under the ‘Models as Approximations’ Framework in R
• [stat.ML]Affine-Invariant Integrated Rank-Weighted Depth: Definition, Properties and Finite Sample Analysis
• [stat.ML]Benign Overfitting in Multiclass Classification: All Roads Lead to Interpolation
• [stat.ML]Deep Learning for Functional Data Analysis with Adaptive Basis Layers
• [stat.ML]Differentiable Particle Filtering without Modifying the Forward Pass
• [stat.ML]Learning the Preferences of Uncertain Humans with Inverse Decision Theory
• [stat.ML]Low-rank Characteristic Tensor Density Estimation Part II: Compression and Latent Density Estimation
• [stat.ML]Nested Variational Inference
• [stat.ML]On the benefits of maximum likelihood estimation for Regression and Forecasting
• [stat.ML]Outlier Detection and Spatial Analysis Algorithms
• [stat.ML]Rayleigh-Gauss-Newton optimization with enhanced sampling for variational Monte Carlo
• [stat.ML]Spliced Binned-Pareto Distribution for Robust Modeling of Heavy-tailed Time Series
• [stat.ML]Stratified Learning: a general-purpose statistical method for improved learning under Covariate Shift
·····································
• [cs.AI]Attribute Selection using Contranominal Scales
Dominik Dürrschnabel, Maren Koyda, Gerd Stumme
http://arxiv.org/abs/2106.10978v1
• [cs.AI]Discrepancies in Epidemiological Modeling of Aggregated Heterogeneous Data
Anna L. Trella, Peniel N. Argaw, Michelle M. Li, James A. Hay
http://arxiv.org/abs/2106.10610v1
• [cs.AI]Improving Label Quality by Jointly Modeling Items and Annotators
Tharindu Cyril Weerasooriya, Alexander G. Ororbia, Christopher M. Homan
http://arxiv.org/abs/2106.10600v1
• [cs.AI]Learning Space Partitions for Path Planning
Kevin Yang, Tianjun Zhang, Chris Cummins, Brandon Cui, Benoit Steiner, Linnan Wang, Joseph E. Gonzalez, Dan Klein, Yuandong Tian
http://arxiv.org/abs/2106.10544v1
• [cs.AI]MILP, pseudo-boolean, and OMT solvers for optimal fault-tolerant placements of relay nodes in mission critical wireless networks
Quian Matteo Chen, Alberto Finzi, Toni Mancini, Igor Melatti, Enrico Tronci
http://arxiv.org/abs/2106.10685v1
• [cs.AI]Multi-Task Learning for User Engagement and Adoption in Live Video Streaming Events
Stefanos Antaris, Dimitrios Rafailidis, Romina Arriaza
http://arxiv.org/abs/2106.10305v1
• [cs.AI]On Limited-Memory Subsampling Strategies for Bandits
Dorian Baudry, Yoan Russac, Olivier Cappé
http://arxiv.org/abs/2106.10935v1
• [cs.AI]Optimal personalised treatment computation through in silico clinical trials on patient digital twins
Stefano Sinisi, Vadim Alimguzhin, Toni Mancini, Enrico Tronci, Federico Mari, Brigitte Leeners
http://arxiv.org/abs/2106.10684v1
• [cs.AI]Proper Value Equivalence
Christopher Grimm, André Barreto, Gregory Farquhar, David Silver, Satinder Singh
http://arxiv.org/abs/2106.10316v1
• [cs.AI]Score-Based Explanations in Data Management and Machine Learning: An Answer-Set Programming Approach to Counterfactual Analysis
Leopoldo Bertossi
http://arxiv.org/abs/2106.10562v1
• [cs.CL]A Brief Study on the Effects of Training Generative Dialogue Models with a Semantic loss
Prasanna Parthasarathi, Mohamed Abdelsalam, Joelle Pineau, Sarath Chandar
http://arxiv.org/abs/2106.10619v1
• [cs.CL]A Condense-then-Select Strategy for Text Summarization
Hou Pong Chan, Irwin King
http://arxiv.org/abs/2106.10468v1
• [cs.CL]A Discriminative Entity-Aware Language Model for Virtual Assistants
Mandana Saebi, Ernest Pusateri, Aaksha Meghawat, Christophe Van Gysel
http://arxiv.org/abs/2106.11292v1
• [cs.CL]Ad Text Classification with Transformer-Based Natural Language Processing Methods
Umut Özdil, Büşra Arslan, D. Emre Taşar, Gökçe Polat, Şükrü Ozan
http://arxiv.org/abs/2106.10899v1
• [cs.CL]ArgFuse: A Weakly-Supervised Framework for Document-Level Event Argument Aggregation
Debanjana Kar, Sudeshna Sarkar, Pawan Goyal
http://arxiv.org/abs/2106.10862v1
• [cs.CL]CIL: Contrastive Instance Learning Framework for Distantly Supervised Relation Extraction
Tao Chen, Haizhou Shi, Siliang Tang, Zhigang Chen, Fei Wu, Yueting Zhuang
http://arxiv.org/abs/2106.10855v1
• [cs.CL]CPM-2: Large-scale Cost-effective Pre-trained Language Models
Zhengyan Zhang, Yuxian Gu, Xu Han, Shengqi Chen, Chaojun Xiao, Zhenbo Sun, Yuan Yao, Fanchao Qi, Jian Guan, Pei Ke, Yanzheng Cai, Guoyang Zeng, Zhixing Tan, Zhiyuan Liu, Minlie Huang, Wentao Han, Yang Liu, Xiaoyan Zhu, Maosong Sun
http://arxiv.org/abs/2106.10715v1
• [cs.CL]Calliar: An Online Handwritten Dataset for Arabic Calligraphy
Zaid Alyafeai, Maged S. Al-shaibani, Mustafa Ghaleb, Yousif Ahmed Al-Wajih
http://arxiv.org/abs/2106.10745v1
• [cs.CL]Challenges in Translation of Emotions in Multilingual User-Generated Content: Twitter as a Case Study
Hadeel Saadany, Constantin Orasan, Rocio Caro Quintana, Felix do Carmo, Leonardo Zilio
http://arxiv.org/abs/2106.10719v1
• [cs.CL]Conversational Agents in Software Engineering: Survey, Taxonomy and Challenges
Quim Motger, Xavier Franch, Jordi Marco
http://arxiv.org/abs/2106.10901v1
• [cs.CL]Do Encoder Representations of Generative Dialogue Models Encode Sufficient Information about the Task ?
Prasanna Parthasarathi, Joelle Pineau, Sarath Chandar
http://arxiv.org/abs/2106.10622v1
• [cs.CL]Does Robustness Improve Fairness? Approaching Fairness with Word Substitution Robustness Methods for Text Classification
Yada Pruksachatkun, Satyapriya Krishna, Jwala Dhamala, Rahul Gupta, Kai-Wei Chang
http://arxiv.org/abs/2106.10826v1
• [cs.CL]Empower Distantly Supervised Relation Extraction with Collaborative Adversarial Training
Tao Chen, Haochen Shi, Liyuan Liu, Siliang Tang, Jian Shao, Zhigang Chen, Yueting Zhuang
http://arxiv.org/abs/2106.10835v1
• [cs.CL]Enhancing Question Generation with Commonsense Knowledge
Xin Jia, Hao Wang, Dawei Yin, Yunfang Wu
http://arxiv.org/abs/2106.10454v1
• [cs.CL]Explicit Interaction Network for Aspect Sentiment Triplet Extraction
Peiyi Wang, Lianzhe Huang, Tianyu Liu, Damai Dai, Runxin Xu, Houfeng Wang, Baobao Chang, Zhifang Sui
http://arxiv.org/abs/2106.11148v1
• [cs.CL]Extractive approach for text summarisation using graphs
Kastriot Kadriu, Milenko Obradovic
http://arxiv.org/abs/2106.10955v1
• [cs.CL]Hybrid approach to detecting symptoms of depression in social media entries
Agnieszka Wołk, Karol Chlasta, Paweł Holas
http://arxiv.org/abs/2106.10485v1
• [cs.CL]Iterative Network Pruning with Uncertainty Regularization for Lifelong Sentiment Classification
Binzong Geng, Min Yang, Fajie Yuan, Shupeng Wang, Xiang Ao, Ruifeng Xu
http://arxiv.org/abs/2106.11197v1
• [cs.CL]JointGT: Graph-Text Joint Representation Learning for Text Generation from Knowledge Graphs
Pei Ke, Haozhe Ji, Yu Ran, Xin Cui, Liwei Wang, Linfeng Song, Xiaoyan Zhu, Minlie Huang
http://arxiv.org/abs/2106.10502v1
• [cs.CL]Learning to Rank Question Answer Pairs with Bilateral Contrastive Data Augmentation
Yang Deng, Wenxuan Zhang, Wai Lam
http://arxiv.org/abs/2106.11096v1
• [cs.CL]Multi-Pair Text Style Transfer on Unbalanced Data
Xing Han, Jessica Lundin
http://arxiv.org/abs/2106.10608v1
• [cs.CL]Out of Context: A New Clue for Context Modeling of Aspect-based Sentiment Analysis
Bowen Xing, Ivor W. Tsang
http://arxiv.org/abs/2106.10816v1
• [cs.CL]Pay Better Attention to Attention: Head Selection in Multilingual and Multi-Domain Sequence Modeling
Hongyu Gong, Yun Tang, Juan Pino, Xian Li
http://arxiv.org/abs/2106.10840v1
• [cs.CL]Process for Adapting Language Models to Society (PALMS) with Values-Targeted Datasets
Irene Solaiman, Christy Dennison
http://arxiv.org/abs/2106.10328v1
• [cs.CL]ROPE: Reading Order Equivariant Positional Encoding for Graph-based Document Information Extraction
Chen-Yu Lee, Chun-Liang Li, Chu Wang, Renshen Wang, Yasuhisa Fujii, Siyang Qin, Ashok Popat, Tomas Pfister
http://arxiv.org/abs/2106.10786v1
• [cs.CL]STEP-EZ: Syntax Tree guided semantic ExPlanation for Explainable Zero-shot modeling of clinical depression symptoms from text
Nawshad Farruque, Randy Goebel, Osmar Zaiane, Sudhakar Sivapalan
http://arxiv.org/abs/2106.10928v1
• [cs.CL]Self-Calibrating Neural-Probabilistic Model for Authorship Verification Under Covariate Shift
Benedikt Boenninghoff, Dorothea Kolossa, Robert M. Nickel
http://arxiv.org/abs/2106.11196v1
• [cs.CL]Transformers for Headline Selection for Russian News Clusters
Pavel Voropaev, Olga Sopilnyak
http://arxiv.org/abs/2106.10487v1
• [cs.CL]TweeNLP: A Twitter Exploration Portal for Natural Language Processing
Viraj Shah, Shruti Singh, Mayank Singh
http://arxiv.org/abs/2106.10512v1
• [cs.CR]Non-parametric Differentially Private Confidence Intervals for the Median
Joerg Drechsler, Ira Globus-Harris, Audra McMillan, Jayshree Sarathy, Adam Smith
http://arxiv.org/abs/2106.10333v1
• [cs.CR]Privacy-preserving Publication and Sharing of COVID-19 Pandemic Data
Dong Wang, Fang Liu
http://arxiv.org/abs/2106.10339v1
• [cs.CV]3D Object Detection for Autonomous Driving: A Survey
Rui Qian, Xin Lai, Xirong Li
http://arxiv.org/abs/2106.10823v1
• [cs.CV]3D Shape Registration Using Spectral Graph Embedding and Probabilistic Matching
Avinash Sharma, Radu Horaud, Diana Mateus
http://arxiv.org/abs/2106.11166v1
• [cs.CV]A system of vision sensor based deep neural networks for complex driving scene analysis in support of crash risk assessment and prevention
Muhammad Monjurul Karim, Yu Li, Ruwen Qin, Zhaozheng Yin
http://arxiv.org/abs/2106.10319v1
• [cs.CV]AdaZoom: Adaptive Zoom Network for Multi-Scale Object Detection in Large Scenes
Jingtao Xu, Yali Li, Shengjin Wang
http://arxiv.org/abs/2106.10409v1
• [cs.CV]Adversarial Manifold Matching via Deep Metric Learning for Generative Modeling
Mengyu Dai, Haibin Hang
http://arxiv.org/abs/2106.10777v1
• [cs.CV]Affect-driven Engagement Measurement from Videos
Ali Abedi, Shehroz Khan
http://arxiv.org/abs/2106.10882v1
• [cs.CV]An End-to-End Khmer Optical Character Recognition using Sequence-to-Sequence with Attention
Rina Buoy, Sokchea Kor, Nguonly Taing
http://arxiv.org/abs/2106.10875v1
• [cs.CV]Attack to Fool and Explain Deep Networks
Naveed Akhtar, Muhammad A. A. K. Jalwana, Mohammed Bennamoun, Ajmal Mian
http://arxiv.org/abs/2106.10606v1
• [cs.CV]Attend What You Need: Motion-Appearance Synergistic Networks for Video Question Answering
Ahjeong Seo, Gi-Cheon Kang, Joonhan Park, Byoung-Tak Zhang
http://arxiv.org/abs/2106.10446v1
• [cs.CV]Augmented 2D-TAN: A Two-stage Approach for Human-centric Spatio-Temporal Video Grounding
Chaolei Tan, Zihang Lin, Jian-Fang Hu, Xiang Li, Wei-Shi Zheng
http://arxiv.org/abs/2106.10634v1
• [cs.CV]Automated Deepfake Detection
Ping Liu
http://arxiv.org/abs/2106.10705v1
• [cs.CV]Automatic Plant Cover Estimation with CNNs Automatic Plant Cover Estimation with Convolutional Neural Networks
Matthias Körschens, Paul Bodesheim, Christine Römermann, Solveig Franziska Bucher, Mirco Migliavacca, Josephine Ulrich, Joachim Denzler
http://arxiv.org/abs/2106.11154v1
• [cs.CV]CAMERAS: Enhanced Resolution And Sanity preserving Class Activation Mapping for image saliency
Mohammad A. A. K. Jalwana, Naveed Akhtar, Mohammed Bennamoun, Ajmal Mian
http://arxiv.org/abs/2106.10649v1
• [cs.CV]CLIP2Video: Mastering Video-Text Retrieval via Image CLIP
Han Fang, Pengfei Xiong, Luhui Xu, Yu Chen
http://arxiv.org/abs/2106.11097v1
• [cs.CV]CUDA-GR: Controllable Unsupervised Domain Adaptation for Gaze Redirection
Swati Jindal, Xin Eric Wang
http://arxiv.org/abs/2106.10852v1
• [cs.CV]Can poachers find animals from public camera trap images?
Sara Beery, Elizabeth Bondi
http://arxiv.org/abs/2106.11236v1
• [cs.CV]CenterAtt: Fast 2-stage Center Attention Network
Jianyun Xu, Xin Tang, Jian Dou, Xu Shu, Yushi Zhu
http://arxiv.org/abs/2106.10493v1
• [cs.CV]CompConv: A Compact Convolution Module for Efficient Feature Learning
Chen Zhang, Yinghao Xu, Yujun Shen
http://arxiv.org/abs/2106.10486v1
• [cs.CV]Confidence-Guided Radiology Report Generation
Yixin Wang, Zihao Lin, Jiang Tian, zhongchao shi, Yang Zhang, Jianping Fan, Zhiqiang He
http://arxiv.org/abs/2106.10887v1
• [cs.CV]Crop-Transform-Paste: Self-Supervised Learning for Visual Tracking
Xin Li, Wenjie Pei, Zikun Zhou, Zhenyu He, Huchuan Lu, Ming-Hsuan Yang
http://arxiv.org/abs/2106.10900v1
• [cs.CV]Cross-layer Navigation Convolutional Neural Network for Fine-grained Visual Classification
Chenyu Guo, Jiyang Xie, Kongming Liang, Xian Sun, Zhanyu Ma
http://arxiv.org/abs/2106.10920v1
• [cs.CV]Delving into the pixels of adversarial samples
Blerta Lindqvist
http://arxiv.org/abs/2106.10996v1
• [cs.CV]DiGS : Divergence guided shape implicit neural representation for unoriented point clouds
Yizhak Ben-Shabat, Chamin Hewa Koneputugodage, Stephen Gould
http://arxiv.org/abs/2106.10811v1
• [cs.CV]Distilling effective supervision for robust medical image segmentation with noisy labels
Jialin Shi, Ji Wu
http://arxiv.org/abs/2106.11099v1
• [cs.CV]Dynamical Deep Generative Latent Modeling of 3D Skeletal Motion
Amirreza Farnoosh, Sarah Ostadabbas
http://arxiv.org/abs/2106.10393v1
• [cs.CV]Exploring Semantic Relationships for Unpaired Image Captioning
Fenglin Liu, Meng Gao, Tianhao Zhang, Yuexian Zou
http://arxiv.org/abs/2106.10658v1
• [cs.CV]Exploring Vision Transformers for Fine-grained Classification
Marcos V. Conde, Kerem Turgutlu
http://arxiv.org/abs/2106.10587v1
• [cs.CV]Exploring Visual Context for Weakly Supervised Person Search
Yichao Yan, Jinpeng Li, Shengcai Liao, Jie Qin, Bingbing Ni, Xiaokang Yang, Ling Shao
http://arxiv.org/abs/2106.10506v1
• [cs.CV]FP-Age: Leveraging Face Parsing Attention for Facial Age Estimation in the Wild
Yiming Lin, Jie Shen, Yujiang Wang, Maja Pantic
http://arxiv.org/abs/2106.11145v1
• [cs.CV]Fast Simultaneous Gravitational Alignment of Multiple Point Sets
Vladislav Golyanik, Soshi Shimada, Christian Theobalt
http://arxiv.org/abs/2106.11308v1
• [cs.CV]FloorPP-Net: Reconstructing Floor Plans using Point Pillars for Scan-to-BIM
Yijie Wu, Fan Xue
http://arxiv.org/abs/2106.10635v1
• [cs.CV]Hard hat wearing detection based on head keypoint localization
Bartosz Wójcik, Mateusz Żarski, Kamil Książek, Jarosław Adam Miszczak, Mirosław Jan Skibniewski
http://arxiv.org/abs/2106.10944v1
• [cs.CV]Humble Teachers Teach Better Students for Semi-Supervised Object Detection
Yihe Tang, Weifeng Chen, Yijun Luo, Yuting Zhang
http://arxiv.org/abs/2106.10456v1
• [cs.CV]Informative Class Activation Maps
Zhenyue Qin, Dongwoo Kim, Tom Gedeon
http://arxiv.org/abs/2106.10472v1
• [cs.CV]Interactive Object Segmentation with Dynamic Click Transform
Chun-Tse Lin, Wei-Chih Tu, Chih-Ting Liu, Shao-Yi Chien
http://arxiv.org/abs/2106.10465v1
• [cs.CV]Interpretable Face Manipulation Detection via Feature Whitening
Yingying Hua, Daichi Zhang, Pengju Wang, Shiming Ge
http://arxiv.org/abs/2106.10834v1
• [cs.CV]Interventional Video Grounding with Dual Contrastive Learning
Guoshun Nan, Rui Qiao, Yao Xiao, Jun Liu, Sicong Leng, Hao Zhang, Wei Lu
http://arxiv.org/abs/2106.11013v1
• [cs.CV]Knowledge Distillation via Instance-level Sequence Learning
Haoran Zhao, Xin Sun, Junyu Dong, Zihe Dong, Qiong Li
http://arxiv.org/abs/2106.10885v1
• [cs.CV]Large-scale image segmentation based on distributed clustering algorithms
Ran Lu, Aleksandar Zlateski, H. Sebastian Seung
http://arxiv.org/abs/2106.10795v1
• [cs.CV]Learning to Track Object Position through Occlusion
Satyaki Chakraborty, Martial Hebert
http://arxiv.org/abs/2106.10766v1
• [cs.CV]Low-Power Multi-Camera Object Re-Identification using Hierarchical Neural Networks
Abhinav Goel, Caleb Tung, Xiao Hu, Haobo Wang, James C. Davis, George K. Thiruvathukal, Yung-Hsiang Lu
http://arxiv.org/abs/2106.10588v1
• [cs.CV]MSN: Efficient Online Mask Selection Network for Video Instance Segmentation
Vidit Goel, Jiachen Li, Shubhika Garg, Harsh Maheshwari, Humphrey Shi
http://arxiv.org/abs/2106.10452v1
• [cs.CV]Mobile Sensing for Multipurpose Applications in Transportation
Armstrong Aboah, Michael Boeding, Yaw Adu-Gyamfi
http://arxiv.org/abs/2106.10733v1
• [cs.CV]More than Encoder: Introducing Transformer Decoder to Upsample
Yijiang Li, Wentian Cai, Ying Gao, Xiping Hu
http://arxiv.org/abs/2106.10637v1
• [cs.CV]Moving in a 360 World: Synthesizing Panoramic Parallaxes from a Single Panorama
Ching-Yu Hsu, Cheng Sun, Hwann-Tzong Chen
http://arxiv.org/abs/2106.10859v1
• [cs.CV]Multi-VAE: Learning Disentangled View-common and View-peculiar Visual Representations for Multi-view Clustering
Jie Xu, Yazhou Ren, Huayi Tang, Xiaorong Pu, Xiaofeng Zhu, Ming Zeng, Lifang He
http://arxiv.org/abs/2106.11232v1
• [cs.CV]Multiple Object Tracking with Mixture Density Networks for Trajectory Estimation
Andreu Girbau, Xavier Giró-i-Nieto, Ignasi Rius, Ferran Marqués
http://arxiv.org/abs/2106.10950v1
• [cs.CV]Neighborhood Contrastive Learning for Novel Class Discovery
Zhun Zhong, Enrico Fini, Subhankar Roy, Zhiming Luo, Elisa Ricci, Nicu Sebe
http://arxiv.org/abs/2106.10731v1
• [cs.CV]NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction
Peng Wang, Lingjie Liu, Yuan Liu, Christian Theobalt, Taku Komura, Wenping Wang
http://arxiv.org/abs/2106.10689v1
• [cs.CV]Neural Marching Cubes
Zhiqin Chen, Hao Zhang
http://arxiv.org/abs/2106.11272v1
• [cs.CV]Neural Network Facial Authentication for Public Electric Vehicle Charging Station
Muhamad Amin Husni Abdul Haris, Sin Liang Lim
http://arxiv.org/abs/2106.10432v1
• [cs.CV]OadTR: Online Action Detection with Transformers
Xiang Wang, Shiwei Zhang, Zhiwu Qing, Yuanjie Shao, Zhengrong Zuo, Changxin Gao, Nong Sang
http://arxiv.org/abs/2106.11149v1
• [cs.CV]Obstacle Detection for BVLOS Drones
Jan Moros Esteban
http://arxiv.org/abs/2106.11098v1
• [cs.CV]One Million Scenes for Autonomous Driving: ONCE Dataset
Jiageng Mao, Minzhe Niu, Chenhan Jiang, Hanxue Liang, Xiaodan Liang, Yamin Li, Chaoqiang Ye, Wei Zhang, Zhenguo Li, Jie Yu, Hang Xu, Chunjing Xu
http://arxiv.org/abs/2106.11037v1
• [cs.CV]PIANO: A Parametric Hand Bone Model from Magnetic Resonance Imaging
Yuwei Li, Minye Wu, Yuyao Zhang, Lan Xu, Jingyi Yu
http://arxiv.org/abs/2106.10893v1
• [cs.CV]Place recognition survey: An update on deep learning approaches
Tiago Barros, Ricardo Pereira, Luís Garrote, Cristiano Premebida, Urbano J. Nunes
http://arxiv.org/abs/2106.10458v1
• [cs.CV]Plant Disease Detection Using Image Processing and Machine Learning
Pranesh Kulkarni, Atharva Karwande, Tejas Kolhe, Soham Kamble, Akshay Joshi, Medha Wyawahare
http://arxiv.org/abs/2106.10698v1
• [cs.CV]Practical Transferability Estimation for Image Classification Tasks
Yang Tan, Yang Li, Shao-Lun Huang
http://arxiv.org/abs/2106.10479v1
• [cs.CV]Pre-training also Transfers Non-Robustness
Jiaming Zhang, Jitao Sang, Qi Yi, Huiwen Dong, Jian Yu
http://arxiv.org/abs/2106.10989v1
• [cs.CV]Quality-Aware Memory Network for Interactive Volumetric Image Segmentation
Tianfei Zhou, Liulei Li, Gustav Bredell, Jianwu Li, Ender Konukoglu
http://arxiv.org/abs/2106.10686v1
• [cs.CV]ReGO: Reference-Guided Outpainting for Scenery Image
Yaxiong Wang, Yunchao Wei, Xueming Qian, Li Zhu, Yi Yang
http://arxiv.org/abs/2106.10601v1
• [cs.CV]Remote Sensing Images Semantic Segmentation with General Remote Sensing Vision Model via a Self-Supervised Contrastive Learning Method
Haifeng Li, Yi Li, Guo Zhang, Ruoyun Liu, Haozhe Huang, Qing Zhu, Chao Tao
http://arxiv.org/abs/2106.10605v1
• [cs.CV]Robust Pooling through the Data Mode
Ayman Mukhaimar, Ruwan Tennakoon, Chow Yin Lai, Reza Hoseinnezhad, AlirezaBab-Hadiashar
http://arxiv.org/abs/2106.10850v1
• [cs.CV]SHREC 2021: Track on Skeleton-based Hand Gesture Recognition in the Wild
Ariel Caputo, Andrea Giachetti, Simone Soso, Deborah Pintani, Andrea D’Eusanio, Stefano Pini, Guido Borghi, Alessandro Simoni, Roberto Vezzani, Rita Cucchiara, Andrea Ranieri, Franca Giannini, Katia Lupinetti, Marina Monti, Mehran Maghoumi, Joseph J. LaViola Jr, Minh-Quan Le, Hai-Dang Nguyen, Minh-Triet Tran
http://arxiv.org/abs/2106.10980v1
• [cs.CV]SODA10M: Towards Large-Scale Object Detection Benchmark for Autonomous Driving
Jianhua Han, Xiwen Liang, Hang Xu, Kai Chen, Lanqing Hong, Chaoqiang Ye, Wei Zhang, Zhenguo Li, Chunjing Xu, Xiaodan Liang
http://arxiv.org/abs/2106.11118v1
• [cs.CV]Segmentation of cell-level anomalies in electroluminescence images of photovoltaic modules
Urtzi Otamendi, Iñigo Martinez, Marco Quartulli, Igor G. Olaizola, Elisabeth Viles, Werther Cambarau
http://arxiv.org/abs/2106.10962v1
• [cs.CV]Simple Distillation Baselines for Improving Small Self-supervised Models
Jindong Gu, Wei Liu, Yonglong Tian
http://arxiv.org/abs/2106.11304v1
• [cs.CV]Single View Physical Distance Estimation using Human Pose
Xiaohan Fei, Henry Wang, Xiangyu Zeng, Lin Lee Cheong, Meng Wang, Joseph Tighe
http://arxiv.org/abs/2106.10335v1
• [cs.CV]Solution for Large-scale Long-tailed Recognition with Noisy Labels
Yuqiao Xian, Jia-Xin Zhuang, Fufu Yu
http://arxiv.org/abs/2106.10683v1
• [cs.CV]Structured Sparse R-CNN for Direct Scene Graph Generation
Yao Teng, Limin Wang
http://arxiv.org/abs/2106.10815v1
• [cs.CV]Supervised learning for crop/weed classification based on color and texture features
Faiza Mekhalfa, Fouad Yacef
http://arxiv.org/abs/2106.10581v1
• [cs.CV]Surgical data science for safe cholecystectomy: a protocol for segmentation of hepatocystic anatomy and assessment of the critical view of safety
Pietro Mascagni, Deepak Alapatt, Alain Garcia, Nariaki Okamoto, Armine Vardazaryan, Guido Costamagna, Bernard Dallemagne, Nicolas Padoy
http://arxiv.org/abs/2106.10916v1
• [cs.CV]TCIC: Theme Concepts Learning Cross Language and Vision for Image Captioning
Zhihao Fan, Zhongyu Wei, Siyuan Wang, Ruize Wang, Zejun Li, Haijun Shan, Xuanjing Huang
http://arxiv.org/abs/2106.10936v1
• [cs.CV]TGRNet: A Table Graph Reconstruction Network for Table Structure Recognition
Wenyuan Xue, Baosheng Yu, Wen Wang, Dacheng Tao, Qingyong Li
http://arxiv.org/abs/2106.10598v1
• [cs.CV]TNT: Text-Conditioned Network with Transductive Inference for Few-Shot Video Classification
Andrés Villa, Juan-Manuel Perez-Rua, Vladimir Araujo, Juan Carlos Niebles, Victor Escorcia, Alvaro Soto
http://arxiv.org/abs/2106.11173v1
• [cs.CV]Tag, Copy or Predict: A Unified Weakly-Supervised Learning Framework for Visual Information Extraction using Sequences
Jiapeng Wang, Tianwei Wang, Guozhi Tang, Lianwen Jin, Weihong Ma, Kai Ding, Yichao Huang
http://arxiv.org/abs/2106.10681v1
• [cs.CV]Temporal Early Exits for Efficient Video Object Detection
Amin Sabet, Jonathon Hare, Bashir Al-Hashimi, Geoff V. Merrett
http://arxiv.org/abs/2106.11208v1
• [cs.CV]The Animal ID Problem: Continual Curation
Charles V. Stewart, Jason R. Parham, Jason Holmberg, Tanya Y. Berger-Wolf
http://arxiv.org/abs/2106.10377v1
• [cs.CV]The Arm-Swing Is Discriminative in Video Gait Recognition for Athlete Re-Identification
Yapkan Choi, Yeshwanth Napolean, Jan C. van Gemert
http://arxiv.org/abs/2106.11280v1
• [cs.CV]ToAlign: Task-oriented Alignment for Unsupervised Domain Adaptation
Guoqiang Wei, Cuiling Lan, Wenjun Zeng, Zhibo Chen
http://arxiv.org/abs/2106.10812v1
• [cs.CV]TokenLearner: What Can 8 Learned Tokens Do for Images and Videos?
Michael S. Ryoo, AJ Piergiovanni, Anurag Arnab, Mostafa Dehghani, Anelia Angelova
http://arxiv.org/abs/2106.11297v1
• [cs.CV]Total Generate: Cycle in Cycle Generative Adversarial Networks for Generating Human Faces, Hands, Bodies, and Natural Scenes
Hao Tang, Nicu Sebe
http://arxiv.org/abs/2106.10876v1
• [cs.CV]Towards Long-Form Video Understanding
Chao-Yuan Wu, Philipp Krähenbühl
http://arxiv.org/abs/2106.11310v1
• [cs.CV]Towards Single Stage Weakly Supervised Semantic Segmentation
Peri Akiva, Kristin Dana
http://arxiv.org/abs/2106.10309v1
• [cs.CV]Trainable Class Prototypes for Few-Shot Learning
Jianyi Li, Guizhong Liu
http://arxiv.org/abs/2106.10846v1
• [cs.CV]Two-Stream Consensus Network: Submission to HACS Challenge 2021 Weakly-Supervised Learning Track
Yuanhao Zhai, Le Wang, David Doermann, Junsong Yuan
http://arxiv.org/abs/2106.10829v1
• [cs.CV]Unbalanced Feature Transport for Exemplar-based Image Translation
Fangneng Zhan, Yingchen Yu, Kaiwen Cui, Gongjie Zhang, Shijian Lu, Jianxiong Pan, Changgong Zhang, Feiying Ma, Xuansong Xie, Chunyan Miao
http://arxiv.org/abs/2106.10482v1
• [cs.CV]Understanding Object Dynamics for Interactive Image-to-Video Synthesis
Andreas Blattmann, Timo Milbich, Michael Dorkenwald, Björn Ommer
http://arxiv.org/abs/2106.11303v1
• [cs.CV]Unsupervised Deep Learning by Injecting Low-Rank and Sparse Priors
Tomoya Sakai
http://arxiv.org/abs/2106.10923v1
• [cs.CV]VIMPAC: Video Pre-Training via Masked Token Prediction and Contrastive Learning
Hao Tan, Jie Lei, Thomas Wolf, Mohit Bansal
http://arxiv.org/abs/2106.11250v1
• [cs.CV]VQA-Aid: Visual Question Answering for Post-Disaster Damage Assessment and Analysis
Argho Sarkar, Maryam Rahnemoonfar
http://arxiv.org/abs/2106.10548v1
• [cs.CV]Video Summarization through Reinforcement Learning with a 3D Spatio-Temporal U-Net
Tianrui Liu, Qingjie Meng, Jun-Jie Huang, Athanasios Vlontzos, Daniel Rueckert, Bernhard Kainz
http://arxiv.org/abs/2106.10528v1
• [cs.CV]Visual Probing: Cognitive Framework for Explaining Self-Supervised Image Representations
Witold Oleszkiewicz, Dominika Basaj, Igor Sieradzki, Michał Górszczak, Barbara Rychalska, Koryna Lewandowska, Tomasz Trzciński, Bartosz Zieliński
http://arxiv.org/abs/2106.11054v1
• [cs.CY]A Comparative Study of Online Disinformation and Offline Protests
Jukka Ruohonen
http://arxiv.org/abs/2106.11000v1
• [cs.CY]Fostering Student Engagement in a Mobile Formative Assessment System for High-School Economics
Fotis Lazarinis, Dimitris Kanellopoulos
http://arxiv.org/abs/2106.10910v1
• [cs.CY]Reassessing Measures for Press Freedom
Jukka Ruohonen
http://arxiv.org/abs/2106.10427v1
• [cs.DB]A Generic Distributed Clustering Framework for Massive Data
Pingyi Luo, Qiang Huang, Anthony K. H. Tung
http://arxiv.org/abs/2106.10515v1
• [cs.DB]Demonstration of Panda: A Weakly Supervised Entity Matching System
Renzhi Wu, Prem Sakala, Peng Li, Xu Chu, Yeye He
http://arxiv.org/abs/2106.10821v1
• [cs.DC]Evaluating Spatial Accelerator Architectures with Tiled Matrix-Matrix Multiplication
Gordon E. Moon, Hyoukjun Kwon, Geonhwa Jeong, Prasanth Chatarasi, Sivasankaran Rajamanickam, Tushar Krishna
http://arxiv.org/abs/2106.10499v1
• [cs.DC]Jolteon and Ditto: Network-Adaptive Efficient Consensus with Asynchronous Fallback
Rati Gelashvili, Lefteris Kokoris-Kogias, Alberto Sonnino, Alexander Spiegelman, Zhuolun Xiang
http://arxiv.org/abs/2106.10362v1
• [cs.DL]On predicting research grants productivity
Jorge A. V. Tohalino, Diego R. Amancio
http://arxiv.org/abs/2106.10700v1
• [cs.DM]Abstract Geometrical Computation 11: Slanted Firing Squad Synchronisation on Signal Machines
Jérôme Durand-Lose, Aurélien Emmanuel
http://arxiv.org/abs/2106.11176v1
• [cs.G 32ee T]Proceedings Eighteenth Conference on Theoretical Aspects of Rationality and Knowledge
Joseph Halpern, Andrés Perea
http://arxiv.org/abs/2106.10886v1
• [cs.HC]Anticipatory Detection of Compulsive Body-focused Repetitive Behaviors with Wearables
Benjamin Lucas Searle, Dimitris Spathis, Marios Constantinides, Daniele Quercia, Cecilia Mascolo
http://arxiv.org/abs/2106.10970v1
• [cs.IR]A Comprehensive Review on Non-Neural Networks Collaborative Filtering Recommendation Systems
Carmel Wenga, Majirus Fansi, Sébastien Chabrier, Jean-Martial Mari, Alban Gabillon
http://arxiv.org/abs/2106.10679v1
• [cs.IR]BanditMF: Multi-Armed Bandit Based Matrix Factorization Recommender System
Shenghao Xu
http://arxiv.org/abs/2106.10898v1
• [cs.IR]Computational Pronunciation Analysis in Sung Utterances
Emir Demirel, Sven Ahlback, Simon Dixon
http://arxiv.org/abs/2106.10977v1
• [cs.IR]Context-Aware Legal Citation Recommendation using Deep Learning
Zihan Huang, Charles Low, Mengqiu Teng, Hongyi Zhang, Daniel E. Ho, Mark S. Krass, Matthias Grabmair
http://arxiv.org/abs/2106.10776v1
• [cs.IR]Data Optimisation for a Deep Learning Recommender System
Gustav Hertz, Sandhya Sachidanandan, Balázs Tóth, Emil S. Jørgensen, Martin Tegnér
http://arxiv.org/abs/2106.11218v1
• [cs.IR]DisenHAN: Disentangled Heterogeneous Graph Attention Network for Recommendation
Yifan Wang, Suyao Tang, Yuntong Lei, Weiping Song, Sheng Wang, Ming Zhang
http://arxiv.org/abs/2106.10879v1
• [cs.IR]Leveraging Multiple Online Sources for Accurate Income Verification
Chirag Mahapatra, Kedar Bellare
http://arxiv.org/abs/2106.10547v1
• [cs.IR]On Sampling Top-K Recommendation Evaluation
Dong Li, Ruoming Jin, Jing Gao, Zhi Liu
http://arxiv.org/abs/2106.10621v1
• [cs.IR]Pseudo-Relevance Feedback for Multiple Representation Dense Retrieval
Xiao Wang, Craig Macdonald, Nicola Tonellotto, Iadh Ounis
http://arxiv.org/abs/2106.11251v1
• [cs.IT]Algorithm Unrolling for Massive Access via Deep Neural Network with Theoretical Guarantee
Yandong Shi, Hayoung Choi, Yuanming Shi, Yong Zhou
http://arxiv.org/abs/2106.10426v1
• [cs.IT]Coded Faster-than-Nyquist Signaling for Short Packet Communications
Emre Cerci, Adem Cicek, Enver Cavus, Ebrahim Bedeer, Halim Yanikomeroglu
http://arxiv.org/abs/2106.10574v1
• [cs.IT]Competitive MA-DRL for Transmit Power Pool Design in Semi-Grant-Free NOMA Systems
Muhammad Fayaz, Wenqiang Yi, Yuanwei Liu, Arumugam Nallanathan
http://arxiv.org/abs/2106.11190v1
• [cs.IT]Deep Learning for Intelligent Wireless MAC: Exploiting Real Data Sampled on 2.4GHz Frequency Band
Jiantao Xin, Wensen Xu, Yucheng Cai, Taotao Wang, Shengli Zhang, Peng Liu, Ziyang Guo, Jiajun Luo
http://arxiv.org/abs/2106.10307v1
• [cs.IT]Deep Learning-Based Active User Detection for Grant-free SCMA Systems
Thushan Sivalingam, Samad Ali, Nurul Huda Mahmood, Nandana Rajatheva, Matti Latva-Aho
http://arxiv.org/abs/2106.11198v1
• [cs.IT]Deep Neural Network-Based Blind Multiple User Detection for Grant-free Multi-User Shared Access
Thushan Sivalingam, Samad Ali, Nurul Huda Mahmood, Nandana Rajatheva, Matti Latva-Aho
http://arxiv.org/abs/2106.11204v1
• [cs.IT]Improved Private and Secure Distributed (Batch) Matrix Multiplication
Jie Li, Camilla Hollanti
http://arxiv.org/abs/2106.11214v1
• [cs.IT]Infinite families of linear codes supporting more $t$-designs
Qianqian Yan, Junling Zhou
http://arxiv.org/abs/2106.10903v1
• [cs.IT]Linear Codes Associated to Symmetric Determinantal Varieties: Even Rank Case
Peter Beelen, Trygve Johnsen, Prasant Singh
http://arxiv.org/abs/2106.11080v1
• [cs.IT]ML and MAP Device Activity Detections for Grant-Free Massive Access in Multi-Cell Networks
Dongdong Jiang, Ying Cui
http://arxiv.org/abs/2106.10438v1
• [cs.IT]Near-Optimal Pool Testing under Urgency Constraints
Éric Brier, Megi Dervishi, Rémi Géraud-Stewart, David Naccache, Ofer Yifrach-Stav
http://arxiv.org/abs/2106.10971v1
• [cs.IT]On decoding of a specific type of self-dual codes
Radinka Yorgova
http://arxiv.org/abs/2106.11146v1
• [cs.IT]On the Capacity-Achieving Input of Channels with Phase Quantization
Neil Irwin Bernardo, Jingge Zhu, Jamie Evans
http://arxiv.org/abs/2106.11007v1
• [cs.IT]On the Ergodic Capacity of Reconfigurable Intelligent Surface (RIS)-Aided MIMO Channels
Chongjun Ouyang, Sheng Wu, Chunxiao Jiang, Yuanwei Liu, Hongwen Yang
http://arxiv.org/abs/2106.10444v1
• [cs.IT]Performance Evaluation of Cooperative NOMA-based Improved Hybrid SWIPT Protocol
Ahmed Al Amin, Soo Young Shin
http://arxiv.org/abs/2106.10799v1
• [cs.IT]Realizing Neural Decoder at the Edge with Ensembled BNN
Devannagari Vikas, Nancy Nayak, Sheetal Kalyani
http://arxiv.org/abs/2106.09925v1
• [cs.IT]Spatial Covariance Matrix Reconstruction for DOA Estimation in Hybrid Massive MIMO Systems with Multiple Radio Frequency Chains
Yinsheng Liu, Yiwei Yan, Li You, Wenji Wang, Hongtao Duan
http://arxiv.org/abs/2106.10709v1
• [cs.IT]Strong Singleton type upper bounds for linear insertion-deletion codes
Hao Chen
http://arxiv.org/abs/2106.10782v1
• [cs.IT]Universal Rate-Distortion-Perception Representations for Lossy Compression
George Zhang, Jingjing Qian, Jun Chen, Ashish Khisti
http://arxiv.org/abs/2106.10311v1
• [cs.IT]Wireless Communication Aided by Intelligent Reflecting Surface: Active or Passive?
Changsheng You, Rui Zhang
http://arxiv.org/abs/2106.10963v1
• [cs.LG]A Game-Theoretic Taxonomy of Visual Concepts in DNNs
Xu Cheng, Chuntung Chu, Yi Zheng, Jie Ren, Quanshi Zhang
http://arxiv.org/abs/2106.10938v1
• [cs.LG]A Max-Min Entropy Framework for Reinforcement Learning
Seungyul Han, Youngchul Sung
http://arxiv.org/abs/2106.10517v1
• [cs.LG]A Unified View of Algorithms for Path Planning Using Probabilistic Inference on Factor Graphs
Francesco A. N. Palmieri, Krishna R. Pattipati, Giovanni Di Gennaro, Giovanni Fioretti, Francesco Verolla, Amedeo Buonanno
http://arxiv.org/abs/2106.10442v1
• [cs.LG]A causal view on compositional data
Elisabeth Ailer, Christian L. Müller, Niki Kilbertus
http://arxiv.org/abs/2106.11234v1
• [cs.LG]A compressive multi-kernel method for privacy-preserving machine learning
Thee Chanyaswad, J. Morris Chang, S. Y. Kung
http://arxiv.org/abs/2106.10671v1
• [cs.LG]AOMD: An Analogy-aware Approach to Offensive Meme Detection on Social Media
Lanyu Shang, Yang Zhang, Yuheng Zha, Yingxi Chen, Christina Youn, Dong Wang
http://arxiv.org/abs/2106.11229v1
• [cs.LG]Accelerated Policy Evaluation: Learning Adversarial Environments with Adaptive Importance Sampling
Mengdi Xu, Peide Huang, Fengpei Li, Jiacheng Zhu, Xuewei Qi, Kentaro Oguchi, Zhiyuan Huang, Henry Lam, Ding Zhao
http://arxiv.org/abs/2106.10566v1
• [cs.LG]Active Learning for Deep Neural Networks on Edge Devices
Yuya Senzaki, Christian Hamelain
http://arxiv.org/abs/2106.10836v1
• [cs.LG]Adversarial Attack on Graph Neural Networks as An Influence Maximization Problem
Jiaqi Ma, Junwei Deng, Qiaozhu Mei
http://arxiv.org/abs/2106.10785v1
• [cs.LG]Adversarial Examples Make Strong Poisons
Liam Fowl, Micah Goldblum, Ping-yeh Chiang, Jonas Geiping, Wojtek Czaja, Tom Goldstein
http://arxiv.org/abs/2106.10807v1
• [cs.LG]Analytically Tractable Bayesian Deep Q-Learning
Luong Ha, Nguyen, James-A. Goulet
http://arxiv.org/abs/2106.11086v1
• [cs.LG]Approximation capabilities of measure-preserving neural networks
Aiqing Zhu, Pengzhan Jin, Yifa Tang
http://arxiv.org/abs/2106.10911v1
• [cs.LG]Attention-based Neural Network for Driving Environment Complexity Perception
Ce Zhang, Azim Eskandarian, Xuelai Du
http://arxiv.org/abs/2106.11277v1
• [cs.LG]Bayesian inference of ODEs with Gaussian processes
Pashupati Hegde, Çağatay Yıldız, Harri Lähdesmäki, Samuel Kaski, Markus Heinonen
http://arxiv.org/abs/2106.10905v1
• [cs.LG]BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation
Mingguo He, Zhewei Wei, Zengfeng Huang, Hongteng Xu
http://arxiv.org/abs/2106.10994v1
• [cs.LG]Better Training using Weight-Constrained Stochastic Dynamics
Benedict Leimkuhler, Tiffany Vlaar, Timothée Pouchon, Amos Storkey
http://arxiv.org/abs/2106.10704v1
• [cs.LG]Boosting Offline Reinforcement Learning with Residual Generative Modeling
Hua Wei, Deheng Ye, Zhao Liu, Hao Wu, Bo Yuan, Qiang Fu, Wei Yang, Zhenhui, Li
http://arxiv.org/abs/2106.10411v1
• [cs.LG]Boundary Graph Neural Networks for 3D Simulations
Andreas Mayr, Sebastian Lehner, Arno Mayrhofer, Christoph Kloss, Sepp Hochreiter, Johannes Brandstetter
http://arxiv.org/abs/2106.11299v1
• [cs.LG]CD-SGD: Distributed Stochastic Gradient Descent with Compression and Delay Compensation
Enda Yu, Dezun Dong, Yemao Xu, Shuo Ouyang, Xiangke Liao
http://arxiv.org/abs/2106.10796v1
• [cs.LG]Can contrastive learning avoid shortcut solutions?
Joshua Robinson, Li Sun, Ke Yu, Kayhan Batmanghelich, Stefanie Jegelka, Suvrit Sra
http://arxiv.org/abs/2106.11230v1
• [cs.LG]Cogradient Descent for Dependable Learning
Runqi Wang, Baochang Zhang, Li’an Zhuo, Qixiang Ye, David Doermann
http://arxiv.org/abs/2106.10617v1
• [cs.LG]Compositional Federated Learning: Applications in Distributionally Robust Averaging and Meta Learning
Feihu Huang, Junyi Li, Heng Huang
http://arxiv.org/abs/2106.11264v1
• [cs.LG]Compressing Deep ODE-Nets using Basis Function Expansions
Alejandro Queiruga, N. Benjamin Erichson, Liam Hodgkinson, Michael W. Mahoney
http://arxiv.org/abs/2106.10820v1
• [cs.LG]Conditional Neural Relational Inference for Interacting Systems
Joao A. Candido Ramos, Lionel Blondé, Stéphane Armand, Alexandros Kalousis
http://arxiv.org/abs/2106.11083v1
• [cs.LG]Contrastive Multi-Modal Clustering
Jie Xu, Huayi Tang, Yazhou Ren, Xiaofeng Zhu, Lifang He
http://arxiv.org/abs/2106.11193v1
• [cs.LG]Corruption Robust Active Learning
Yifang Chen, Simon S. Du, Kevin Jamieson
http://arxiv.org/abs/2106.11220v1
• [cs.LG]Decadal Forecasts with ResDMD: a Residual DMD Neural Network
Eduardo Rodrigues, Bianca Zadrozny, Campbell Watson, David Gold
http://arxiv.org/abs/2106.11111v1
• [cs.LG]Deep Generative Learning via Schrödinger Bridge
Gefei Wang, Yuling Jiao, Qian Xu, Yang Wang, Can Yang
http://arxiv.org/abs/2106.10410v1
• [cs.LG]Deep Spatio-Temporal Forecasting of Electrical Vehicle Charging Demand
Frederik Boe Hüttel, Inon Peled, Filipe Rodrigues, Francisco C. Pereira
http://arxiv.org/abs/2106.10940v1
• [cs.LG]Dependency Structure Misspecification in Multi-Source Weak Supervision Models
Salva Rühling Cachay, Benedikt Boecking, Artur Dubrawski
http://arxiv.org/abs/2106.10302v1
• [cs.LG]Does Optimal Source Task Performance Imply Optimal Pre-training for a Target Task?
Steven Gutstein, Brent Lance, Sanjay Shakkottai
http://arxiv.org/abs/2106.11174v1
• [cs.LG]Effects of boundary conditions in fully convolutional networks for learning spatio-temporal dynamics
Antonio Alguacil andr Gonçalves Pinto, Michael Bauerheim, Marc C. Jacob, Stéphane Moreau
http://arxiv.org/abs/2106.11160v1
• [cs.LG]EvoGrad: Efficient Gradient-Based Meta-Learning and Hyperparameter Optimization
Ondrej Bohdal, Yongxin Yang, Timothy Hospedales
http://arxiv.org/abs/2106.10575v1
• [cs.LG]Fast PDN Impedance Prediction Using Deep Learning
Ling Zhang, Jack Juang, Zurab Kiguradze, Bo Pu, Shuai Jin, Songping Wu, Zhiping Yang, Chulsoon Hwang
http://arxiv.org/abs/2106.10693v1
• [cs.LG]FedCM: Federated Learning with Client-level Momentum
Jing Xu, Sen Wang, Liwei Wang, Andrew Chi-Chih Yao
http://arxiv.org/abs/2106.10874v1
• [cs.LG]FedXGBoost: Privacy-Preserving XGBoost for Federated Learning
Nhan Khanh Le, Yang Liu, Quang Minh Nguyen, Qingchen Liu, Fangzhou Liu, Quanwei Cai, Sandra Hirche
http://arxiv.org/abs/2106.10662v1
• [cs.LG]Federated Learning with Positive and Unlabeled Data
Xinyang Lin, Hanting Chen, Yixing Xu, Chao Xu, Xiaolin Gui, Yiping Deng, Yunhe Wang
http://arxiv.org/abs/2106.10904v1
• [cs.LG]Friendly Training: Neural Networks Can Adapt Data To Make Learning Easier
Simone Marullo, Matteo Tiezzi, Marco Gori, Stefano Melacci
http://arxiv.org/abs/2106.10974v1
• [cs.LG]GRAND: Graph Neural Diffusion
Benjamin Paul Chamberlain, James Rowbottom, Maria Gorinova, Stefan Webb, Emanuele Rossi, Michael M. Bronstein
http://arxiv.org/abs/2106.10934v1
• [cs.LG]Generalization in the Face of Adaptivity: A Bayesian Perspective
Moshe Shenfeld, Katrina Ligett
http://arxiv.org/abs/2106.10761v1
• [cs.LG]Graceful Degradation and Related Fields
Jack Dymond
http://arxiv.org/abs/2106.11119v1
• [cs.LG]Graph Attention Networks with LSTM-based Path Reweighting
Jianpeng Chen, Yujing Wang, Ming Zeng, Zongyi Xiang, Yazhou Ren
http://arxiv.org/abs/2106.10866v1
• [cs.LG]Graph Neural Networks for Learning Real-Time Prices in Electricity Market
Shaohui Liu, Chengyang Wu, Hao Zhu
http://arxiv.org/abs/2106.10529v1
• [cs.LG]GraphMixup: Improving Class-Imbalanced Node Classification on Graphs by Self-supervised Context Prediction
Lirong Wu, Haitao Lin, Zhangyang Gao, Cheng Tan, Stan. Z. Li
http://arxiv.org/abs/2106.11133v1
• [cs.LG]Group-Structured Adversarial Training
Farzan Farnia, Amirali Aghazadeh, James Zou, David Tse
http://arxiv.org/abs/2106.10324v1
• [cs.LG]Heterogeneous Multi-task Learning with Expert Diversity
Raquel Aoki, Frederick Tung, Gabriel L. Oliveira
http://arxiv.org/abs/2106.10595v1
• [cs.LG]How Do Adam and Training Strategies Help BNNs Optimization?
Zechun Liu, Zhiqiang Shen, Shichao Li, Koen Helwegen, Dong Huang, Kwang-Ting Cheng
http://arxiv.org/abs/2106.11309v1
• [cs.LG]Improving Compositional Generalization in Classification Tasks via Structure Annotations
Juyong Kim, Pradeep Ravikumar, Joshua Ainslie, Santiago Ontañón
http://arxiv.org/abs/2106.10434v1
• [cs.LG]Improving Multi-Modal Learning with Uni-Modal Teachers
Chenzhuang Du, Tingle Li, Yichen Liu, Zixin Wen, Tianyu Hua, Yue Wang, Hang Zhao
http://arxiv.org/abs/2106.11059v1
• [cs.LG]Is Shapley Value fair? Improving Client Selection for Mavericks in Federated Learning
Jiyue Huang, Chi Hong, Lydia Y. Chen, Stefanie Roos
http://arxiv.org/abs/2106.10734v1
• [cs.LG]Learning Timestamp-Level Representations for Time Series with Hierarchical Contrastive Loss
Zhihan Yue, Yujing Wang, Juanyong Duan, Tianmeng Yang, Congrui Huang, Bixiong Xu
http://arxiv.org/abs/2106.10466v1
• [cs.LG]Learning and Generalization in Overparameterized Normalizing Flows
Kulin Shah, Amit Deshpande, Navin Goyal
http://arxiv.org/abs/2106.10535v1
• [cs.LG]Leveraging Conditional Generative Models in a General Explanation Framework of Classifier Decisions
Martin Charachon, Paul-Henry Cournède, Céline Hudelot, Roberto Ardon
http://arxiv.org/abs/2106.10947v1
• [cs.LG]Leveraging Language to Learn Program Abstractions and Search Heuristics
Catherine Wong, Kevin Ellis, Joshua B. Tenenbaum, Jacob Andreas
http://arxiv.org/abs/2106.11053v1
• [cs.LG]Lossy Compression for Lossless Prediction
Yann Dubois, Benjamin Bloem-Reddy, Karen Ullrich, Chris J. Maddison
http://arxiv.org/abs/2106.10800v1
• [cs.LG]Low-rank Dictionary Learning for Unsupervised Feature Selection
Mohsen Ghassemi Parsa, Hadi Zare, Mehdi Ghatee
http://arxiv.org/abs/2106.11102v1
• [cs.LG]Machine learning in the social and health sciences
Anja K. Leist, Matthias Klee, Jung Hyun Kim, David H. Rehkopf, Stéphane P. A. Bordas, Graciela Muniz-Terrera, Sara Wade
http://arxiv.org/abs/2106.10716v1
• [cs.LG]Matrix Encoding Networks for Neural Combinatorial Optimization
Yeong-Dae Kwon, Jinho Choo, Iljoo Yoon, Minah Park, Duwon Park, Youngjune Gwon
http://arxiv.org/abs/2106.11113v1
• [cs.LG]Memory Augmented Optimizers for Deep Learning
Paul-Aymeric McRae, Prasanna Parthasarathi, Mahmoud Assran, Sarath Chandar
http://arxiv.org/abs/2106.10708v1
• [cs.LG]Multiplying Matrices Without Multiplying
Davis Blalock, John Guttag
http://arxiv.org/abs/2106.10860v1
• [cs.LG]Multirate Training of Neural Networks
Tiffany Vlaar, Benedict Leimkuhler
http://arxiv.org/abs/2106.10771v1
• [cs.LG]Multivariate Data Explanation by Jumping Emerging Patterns Visualization
Mário Popolin Neto, Fernando V. Paulovich
http://arxiv.org/abs/2106.11112v1
• [cs.LG]Nearly Minimax Optimal Adversarial Imitation Learning with Known and Unknown Transitions
Tian Xu, Ziniu Li, Yang Yu
http://arxiv.org/abs/2106.10424v1
• [cs.LG]Neural Controlled Differential Equations for Online Prediction Tasks
James Morrill, Patrick Kidger, Lingyi Yang, Terry Lyons
http://arxiv.org/abs/2106.11028v1
• [cs.LG]Neural Network Classifier as Mutual Information Evaluator
Zhenyue Qin, Dongwoo Kim, Tom Gedeon
http://arxiv.org/abs/2106.10471v1
• [cs.LG]Neural Spectral Marked Point Processes
Shixiang Zhu, Haoyun Wang, Xiuyuan Cheng, Yao Xie
http://arxiv.org/abs/2106.10773v1
• [cs.LG]Neural network interpretability for forecasting of aggregated renewable generation
Yucun Lu, Ilgiz Murzakhanov, Spyros Chatzivasileiadis
http://arxiv.org/abs/2106.10476v1
• [cs.LG]On Stein Variational Neural Network Ensembles
Francesco D’Angelo, Vincent Fortuin, Florian Wenzel
http://arxiv.org/abs/2106.10760v1
• [cs.LG]On fine-tuning of Autoencoders for Fuzzy rule classifiers
Rahul Kumar Sevakula, Nishchal Kumar Verma, Hisao Ishibuchi
http://arxiv.org/abs/2106.11182v1
• [cs.LG]On the Cryptographic Hardness of Learning Single Periodic Neurons
Min Jae Song, Ilias Zadik, Joan Bruna
http://arxiv.org/abs/2106.10744v1
• [cs.LG]Open-set Label Noise Can Improve Robustness Against Inherent Label Noise
Hongxin Wei, Lue Tao, Renchunzi Xie, Bo An
http://arxiv.org/abs/2106.10891v1
• [cs.LG]Opportunities and challenges in partitioning the graph measure space of real-world networks
Máté Józsa, Alpár S. Lázár, Zsolt I. Lázár
http://arxiv.org/abs/2106.10753v1
• [cs.LG]OptiDICE: Offline Policy Optimization via Stationary Distribution Correction Estimation
Jongmin Lee, Wonseok Jeon, Byung-Jun Lee, Joelle Pineau, Kee-Eung Kim
http://arxiv.org/abs/2106.10783v1
• [cs.LG]Optimal Strategies for Decision Theoretic Online Learning
Yoav Freund
http://arxiv.org/abs/2106.10717v1
• [cs.LG]Practical Assessment of Generalization Performance Robustness for Deep Networks via Contrastive Examples
Xuanyu Wu, Xuhong Li, Haoyi Xiong, Xiao Zhang, Siyu Huang, Dejing Dou
http://arxiv.org/abs/2106.10653v1
• [cs.LG]Prediction of the facial growth direction with Machine Learning methods
Stanisław Kaźmierczak, Zofia Juszka, Piotr Fudalej, Jacek Mańdziuk
http://arxiv.org/abs/2106.10464v1
• [cs.LG]Prediction-Free, Real-Time Flexible Control of Tidal Lagoons through Proximal Policy Optimisation: A Case Study for the Swansea Lagoon
Túlio Marcondes Moreira, Jackson Geraldo de Faria Jr, Pedro O. S. Vaz de Melo, Luiz Chaimowicz, Gilberto Medeiros-Ribeiro
http://arxiv.org/abs/2106.10360v1
• [cs.LG]QuaPy: A Python-Based Framework for Quantification
Alejandro Moreo, Andrea Esuli, Fabrizio Sebastiani
http://arxiv.org/abs/2106.11057v1
• [cs.LG]Regularization is all you Need: Simple Neural Nets can Excel on Tabular Data
Arlind Kadra, Marius Lindauer, Frank Hutter, Josif Grabocka
http://arxiv.org/abs/2106.11189v1
• [cs.LG]Robust M-estimation-based Tensor Ring Completion: a Half-quadratic Minimization Approach
Yicong He, George K. Atia
http://arxiv.org/abs/2106.10422v1
• [cs.LG]Robust Regression via Model Based Methods
Armin Moharrer, Khashayar Kamran, Edmund Ye, Stratis Ioannidis
http://arxiv.org/abs/2106.10759v1
• [cs.LG]STEM: A Stochastic Two-Sided Momentum Algorithm Achieving Near-Optimal Sample and Communication Complexities for Federated Learning
Prashant Khanduri, Pranay Sharma, Haibo Yang, Mingyi Hong, Jia Liu, Ketan Rajawat, Pramod K. Varshney
http://arxiv.org/abs/2106.10435v1
• [cs.LG]Scenic4RL: Programmatic Modeling and Generation of Reinforcement Learning Environments
Abdus Salam Azad, Edward Kim, Qiancheng Wu, Kimin Lee, Ion Stoica, Pieter Abbeel, Sanjit A. Seshia
http://arxiv.org/abs/2106.10365v1
• [cs.LG]Secure Distributed Training at Scale
Eduard Gorbunov, Alexander Borzunov, Michael Diskin, Max Ryabinin
http://arxiv.org/abs/2106.11257v1
• [cs.LG]Semi-supervised Optimal Transport with Self-paced Ensemble for Cross-hospital Sepsis Early Detection
Ruiqing Ding, Yu Zhou, Jie Xu, Yan Xie, Qiqiang Liang, He Ren, Yixuan Wang, Yanlin Chen, Leye Wang, Man Huang
http://arxiv.org/abs/2106.10352v1
• [cs.LG]Smooth Sequential Optimisation with Delayed Feedback
Srivas Chennu, Jamie Martin, Puli Liyanagama, Phil Mohr
http://arxiv.org/abs/2106.11294v1
• [cs.LG]Sparse Training via Boosting Pruning Plasticity with Neuroregeneration
Shiwei Liu, Tianlong Chen, Xiaohan Chen, Zahra Atashgahi, Lu Yin, Huanyu Kou, Li Shen, Mykola Pechenizkiy, Zhangyang Wang, Decebal Constantin Mocanu
http://arxiv.org/abs/2106.10404v1
• [cs.LG]Stability of Graph Convolutional Neural Networks to Stochastic Perturbations
Zhan Gao, Elvin Isufi, Alejandro Ribeiro
http://arxiv.org/abs/2106.10526v1
• [cs.LG]TD-GEN: Graph Generation With Tree Decomposition
Hamed Shirzad, Hossein Hajimirsadeghi, Amir H. Abdi, Greg Mori
http://arxiv.org/abs/2106.10656v1
• [cs.LG]Task Attended Meta-Learning for Few-Shot Learning
Aroof Aimen, Sahil Sidheekh, Narayanan C. Krishnan
http://arxiv.org/abs/2106.10642v1
• [cs.LG]Teacher’s pet: understanding and mitigating biases in distillation
Michal Lukasik, Srinadh Bhojanapalli, Aditya Krishna Menon, Sanjiv Kumar
http://arxiv.org/abs/2106.10494v1
• [cs.LG]The Perils of Learning Before Optimizing
Chris Cameron, Jason Hartford, Taylor Lundy, Kevin Leyton-Brown
http://arxiv.org/abs/2106.10349v1
• [cs.LG]TinyML: Analysis of Xtensa LX6 microprocessor for Neural Network Applications by ESP32 SoC
Md Ziaul Haque Zim
http://arxiv.org/abs/2106.10652v1
• [cs.LG]Towards Better Shale Gas Production Forecasting Using Transfer Learning
Omar S. Alolayan, Samuel J. Raymond, Justin B. Montgomery, John R. Williams
http://arxiv.org/abs/2106.11051v1
• [cs.LG]Towards a Query-Optimal and Time-Efficient Algorithm for Clustering with a Faulty Oracle
Pan Peng, Jiapeng Zhang
http://arxiv.org/abs/2106.10374v1
• [cs.LG]Transfer Bayesian Meta-learning via Weighted Free Energy Minimization
Yunchuan Zhang, Sharu Theresa Jose, Osvaldo Simeone
http://arxiv.org/abs/2106.10711v1
• [cs.LG]Variance-Dependent Best Arm Identification
Pinyan Lu, Chao Tao, Xiaojin Zhang
http://arxiv.org/abs/2106.10417v1
• [cs.LG]Vehicle Trajectory Prediction in City-scale Road Networks using a Direction-based Sequence-to-Sequence Model with Spatiotemporal Attention Mechanisms
Yuebing Liang, Zhan Zhao
http://arxiv.org/abs/2106.11175v1
• [cs.LG]iDARTS: Differentiable Architecture Search with Stochastic Implicit Gradients
Miao Zhang, Steven Su, Shirui Pan, Xiaojun Chang, Ehsan Abbasnejad, Reza Haffari
http://arxiv.org/abs/2106.10784v1
• [cs.LO]Defeasible Reasoning via Datalog$^\neg$
Michael J. Maher
http://arxiv.org/abs/2106.10946v1
• [cs.MA]Curriculum-Driven Multi-Agent Learning and the Role of Implicit Communication in Teamwork
Niko A. Grupen, Daniel D. Lee, Bart Selman
http://arxiv.org/abs/2106.11156v1
• [cs.MM]Multi-Contextual Design of Convolutional Neural Network for Steganalysis
Brijesh Singh, Arijit Sur, Pinaki Mitra
http://arxiv.org/abs/2106.10430v1
• [cs.NE]The Role of Evolution in Machine Intelligence
Awni Hannun
http://arxiv.org/abs/2106.11151v1
• [cs.PF]AutoTune: Improving End-to-end Performance and Resource Efficiency for Microservice Applications
Michael Alan Chang, Aurojit Panda, Hantao Wang, Yuancheng Tsai, Rahul Balakrishnan, Scott Shenker
http://arxiv.org/abs/2106.10334v1
• [cs.RO]Domain and Modality Gaps for LiDAR-based Person Detection on Mobile Robots
Dan Jia, Alexander Hermans, Bastian Leibe
http://arxiv.org/abs/2106.11239v1
• [cs.RO]Exoskeleton-Based Multimodal Action and Movement Recognition: Identifying and Developing the Optimal Boosted Learning Approach
Nirmalya Thakur, Chia Y. Han
http://arxiv.org/abs/2106.10331v1
• [cs.RO]Grasping Benchmarks: Normalizing for Object Size & Approximating Hand Workspaces
John Morrow, Nuha Nishat, Joshua Campbell, Ravi Balasubramanian, Cindy Grimm
http://arxiv.org/abs/2106.10402v1
• [cs.RO]Guiding vector fields in Paparazzi autopilot
Hector Garcia de Marina, Murat Bronz, Gautier Hattenberger
http://arxiv.org/abs/2106.10680v1
• [cs.RO]HapFIC: An Adaptive Force/Position Controller for Safe Environment Interaction in Articulated Systems
Carlo Tiseo, Wolfgang Merkt, Keyhan Kouhkiloui Babarahmati, Wouter Wolfslag, Ioannis Havoutis, Sethu Vijayakumar, Michael Mistry
http://arxiv.org/abs/2106.10648v1
• [cs.RO]High-level Features for Resource Economy and Fast Learning in Skill Transfer
Alper Ahmetoglu, Emre Ugur, Minoru Asada, Erhan Oztop
http://arxiv.org/abs/2106.10354v1
• [cs.RO]Image-guided Breast Biopsy of MRI-visible Lesions with a Hand-mounted Motorised Needle Steering Tool
Marta Lagomarsino, Vincent Groenhuis, Maura Casadio, Marcel K. Welleweerd, Francoise J. Siepel, Stefano Stramigioli
http://arxiv.org/abs/2106.10672v1
• [cs.RO]Investigating the role of educational robotics in formal mathematics education: the case of geometry for 15-year-old students
Jérôme Brender, Laila El-Hamamsy, Barbara Bruno, Frédérique Chessel-Lazzarotto, Jessica Dehler Zufferey, Francesco Mondada
http://arxiv.org/abs/2106.10925v1
• [cs.RO]On the Importance of Environments in Human-Robot Coordination
Matthew C. Fontaine, Ya-Chuan Hsu, Yulun Zhang, Bryon Tjakana, Stefanos Nikolaidis
http://arxiv.org/abs/2106.10853v1
• [cs.RO]PHYSFRAME: Type Checking Physical Frames of Reference for Robotic Systems
Sayali Kate, Michael Chinn, Hongjun Choi, Xiangyu Zhang, Sebastian Elbaum
http://arxiv.org/abs/2106.11266v1
• [cs.RO]Sample Efficient Social Navigation Using Inverse Reinforcement Learning
Bobak H. Baghi, Gregory Dudek
http://arxiv.org/abs/2106.10318v1
• [cs.RO]Towards a Framework for Changing-Contact Robot Manipulation
Saif Sidhik, Mohan Sridharan, Dirk Ruiken
http://arxiv.org/abs/2106.10969v1
• [cs.SD]Advances in Speech Vocoding for Text-to-Speech with Continuous Parameters
Mohammed Salah Al-Radhi, Tamás Gábor Csapó, Géza Németh
http://arxiv.org/abs/2106.10481v1
• [cs.SD]Affinity Mixup for Weakly Supervised Sound Event Detection
Mohammad Rasool Izadi, Robert Stevenson, Laura N. Kloepper
http://arxiv.org/abs/2106.11233v1
• [cs.SD]EML Online Speech Activity Detection for the Fearless Steps Challenge Phase-III
Omid Ghahabi, Volker Fischer
http://arxiv.org/abs/2106.11075v1
• [cs.SE]GLIB: Towards Automated Test Oracle for Graphically-Rich Applications
Ke Chen, Yufei Li, Yingfeng Chen, Changjie Fan, Zhipeng Hu, Wei Yang
http://arxiv.org/abs/2106.10507v1
• [cs.SI]Dynamics of Disruption in Science and Technology
Michael Park, Erin Leahey, Russell Funk
http://arxiv.org/abs/2106.11184v1
• [cs.SI]FauxWard: A Graph Neural Network Approach to Fauxtography Detection Using Social Media Comments
Lanyu Shang, Yang Zhang, Daniel Zhang, Dong Wang
http://arxiv.org/abs/2106.11227v1
• [cs.SI]Finding critical edges in complex networks through local information
En-Yu Yu, Yan Fu, Jun-Lin Zhou, Hong-Liang Sun, Duan-Bing Chen
http://arxiv.org/abs/2106.10420v1
• [cs.SI]Flipping Stance: Social Influence on Bot’s and Non Bot’s COVID Vaccine Stance
Lynnette Hui Xian Ng, Kathleen Carley
http://arxiv.org/abs/2106.11076v1
• [cs.SI]Large-Scale Network Embedding in Apache Spark
Wenqing Lin
http://arxiv.org/abs/2106.10620v1
• [cs.SI]MetaDetector: Meta Event Knowledge Transfer for Fake News Detection
Yasan Ding, Bin Guo, Yan Liu, Yunji Liang, Haocheng Shen, Zhiwen Yu
http://arxiv.org/abs/2106.11177v1
• [cs.SI]Overall Behavioural Index (OBI) For Measuring Segregation
Rahul Goel, Rajesh Sharma, Anto Aasa
http://arxiv.org/abs/2106.10676v1
• [cs.SI]Predicting Critical Nodes in Temporal Networks by Dynamic Graph Convolutional Networks
En-Yu Yu, Yan Fu, Jun-Lin Zhou, Hong-Liang Sun, Duan-Bing Chen
http://arxiv.org/abs/2106.10419v1
• [cs.SI]Pricing Social Visibility Service in Online Social Networks: Modeling and Algorithms
Shiyuan Zheng, Hong Xie, John C. S. Lui
http://arxiv.org/abs/2106.10473v1
• [cs.SI]Say Their Names: Resurgence in the collective attention toward Black victims of fatal police violence following the death of George Floyd
Henry H. Wu, Ryan J. Gallagher, Thayer Alshaabi, Jane L. Adams, Joshua R. Minot, Michael V. Arnold, Brooke Foucault Welles, Randall Harp, Peter Sheridan Dodds, Christopher M. Danforth
http://arxiv.org/abs/2106.10281v1
• [cs.SI]Two-Faced Humans on Twitter and Facebook: Harvesting Social Multimedia for Human Personality Profiling
Qi Yang, Aleksandr Farseev, Andrey Filchenkov
http://arxiv.org/abs/2106.10673v1
• [econ.EM]On Testing Equal Conditional Predictive Ability Under Measurement Error
Yannick Hoga, Timo Dimitriadis
http://arxiv.org/abs/2106.11104v1
• [eess.AS]GPLA-12: An Acoustic Signal Dataset of Gas Pipeline Leakage
Jie Li, Lizhong Yao
http://arxiv.org/abs/2106.10277v1
• [eess.AS]Non-native English lexicon creation for bilingual speech synthesis
Arun Baby, Pranav Jawale, Saranya Vinnaitherthan, Sumukh Badam, Nagaraj Adiga, Sharath Adavanne
http://arxiv.org/abs/2106.10870v1
• [eess.AS]UniTTS: Residual Learning of Unified Embedding Space for Speech Style Control
Minsu Kang, Sungjae Kim, Injung Kim
http://arxiv.org/abs/2106.11171v1
• [eess.IV]Applying VertexShuffle Toward 360-Degree Video Super-Resolution on Focused-Icosahedral-Mesh
Na Li, Yao Liu
http://arxiv.org/abs/2106.11253v1
• [eess.IV]Brain tumor grade classification Using LSTM Neural Networks with Domain Pre-Transforms
Maedeh Sadat Fasihi, Wasfy B. Mikhael
http://arxiv.org/abs/2106.10889v1
• [eess.IV]CataNet: Predicting remaining cataract surgery duration
Andrés Marafioti, Michel Hayoz, Mathias Gallardo, Pablo Márquez Neila, Sebastian Wolf, Martin Zinkernagel, Raphael Sznitman
http://arxiv.org/abs/2106.11048v1
• [eess.IV]Direct Reconstruction of Linear Parametric Images from Dynamic PET Using Nonlocal Deep Image Prior
Kuang Gong, Ciprian Catana, Jinyi Qi, Quanzheng Li
http://arxiv.org/abs/2106.10359v1
• [eess.IV]Estimating MRI Image Quality via Image Reconstruction Uncertainty
Richard Shaw, Carole H. Sudre, Sebastien Ourselin, M. Jorge Cardoso
http://arxiv.org/abs/2106.10992v1
• [eess.IV]Fully automated quantification of in vivo viscoelasticity of prostate zones using magnetic resonance elastography with Dense U-net segmentation
Nader Aldoj, Federico Biavati, Marc Dewey, Anja Hennemuth, Patrick Asbach, Ingolf Sack
http://arxiv.org/abs/2106.11284v1
• [eess.IV]Generative Model Adversarial Training for Deep Compressed Sensing
Ashkan Esmaeili
http://arxiv.org/abs/2106.10696v1
• [eess.IV]Implementing a Detection System for COVID-19 based on Lung Ultrasound Imaging and Deep Learning
Carlos Rojas-Azabache, Karen Vilca-Janampa, Renzo Guerrero-Huayta, Dennis Núñez-Fernández
http://arxiv.org/abs/2106.10651v1
• [eess.IV]Nuclei Grading of Clear Cell Renal Cell Carcinoma in Histopathological Image by Composite High-Resolution Network
Zeyu Gao, Jiangbo Shi, Xianli Zhang, Yang Li, Haichuan Zhang, Jialun Wu, Chunbao Wang, Deyu Meng, Chen Li
http://arxiv.org/abs/2106.10641v1
• [eess.IV]One-to-many Approach for Improving Super-Resolution
Sieun Park, Eunho Lee
http://arxiv.org/abs/2106.10437v1
• [eess.IV]Reversible Colour Density Compression of Images using cGANs
Arun Jose, Abraham Francis
http://arxiv.org/abs/2106.10542v1
• [eess.IV]Underwater Image Restoration via Contrastive Learning and a Real-world Dataset
Junlin Han, Mehrdad Shoeiby, Tim Malthus, Elizabeth Botha, Janet Anstee, Saeed Anwar, Ran Wei, Mohammad Ali Armin, Hongdong Li, Lars Petersson
http://arxiv.org/abs/2106.10718v1
• [eess.SP]Active and Dynamic Beam Tracking UnderStochastic Mobility
Nancy Ronquillo, Tara Javidi
http://arxiv.org/abs/2106.11281v1
• [eess.SP]EMG Signal Classification Using Reflection Coefficients and Extreme Value Machine
Reza Bagherian Azhiri, Mohammad Esmaeili, Mohsen Jafarzadeh, Mehrdad Nourani
http://arxiv.org/abs/2106.10561v1
• [eess.SP]Electromagnetic Interference in RIS-Aided Communications
Andrea De Jesus Torres, Luca Sanguinetti, Emil Björnson
http://arxiv.org/abs/2106.11107v1
• [eess.SP]Learning Signal Representations for EEG Cross-Subject Channel Selection and Trial Classification
Michela C. Massi, Francesca Ieva
http://arxiv.org/abs/2106.10633v1
• [eess.SP]Machine Learning based optimization for interval uncertainty propagation with application to vibro-acoustic models
Alice Cicirello, Filippo Giunta
http://arxiv.org/abs/2106.11215v1
• [eess.SP]Parallel frequency function-deep neural network for efficient complex broadband signal approximation
Zhi Zeng, Pengpeng Shi, Fulei Ma, Peihan Qi
http://arxiv.org/abs/2106.10401v1
• [eess.SP]Signal Processing Based Deep Learning for Blind Symbol Decoding and Modulation Classification
Samer Hanna, Chris Dick, Danijela Cabric
http://arxiv.org/abs/2106.10543v1
• [eess.SY]Brushless Motor Performance Optimization by Eagle Strategy with Firefly and PSO
Appalabathula Venkatesh, Pradeepa H, Chidanandappa R, Shankar Nalinakshan, Jayasankar V N
http://arxiv.org/abs/2106.11135v1
• [eess.SY]DiffLoop: Tuning PID controllers by differentiating through the feedback loop
Athindran Ramesh Kumar, Peter J. Ramadge
http://arxiv.org/abs/2106.10516v1
• [eess.SY]Learning to Reach, Swim, Walk and Fly in One Trial: Data-Driven Control with Scarce Data and Side Information
Franck Djeumou, Ufuk Topcu
http://arxiv.org/abs/2106.10533v1
• [eess.SY]Minimizing Delay in Network Function Visualization with Quantum Computing
Wenlu Xuan, Zhongqi Zhao, Lei Fan, Zhu Han
http://arxiv.org/abs/2106.10707v1
• [eess.SY]Parallel Statistical Model Checking for Safety Verification in Smart Grids
T. Mancini, F. Mari, I. Melatti, I. Salvo, E. Tronci, J. K. Gruber, B. Hayes, M. Prodanovic, L. Elmegaard
http://arxiv.org/abs/2106.10692v1
• [math.NT]Solving the linear approximation problem
Avraham Bourla
http://arxiv.org/abs/2106.10712v1
• [math.OC]Complexity-Free Generalization via Distributionally Robust Optimization
Henry Lam, Yibo Zeng
http://arxiv.org/abs/2106.11180v1
• [math.OC]Distributed Picard Iteration: Application to Distributed EM and Distributed PCA
Francisco L. Andrade, Mário A. T. Figueiredo, João Xavier
http://arxiv.org/abs/2106.10665v1
• [math.OC]QUBO transformation using Eigenvalue Decomposition
Amit Verma, Mark Lewis
http://arxiv.org/abs/2106.10532v1
• [math.ST]Some smooth sequential empirical copula processes and their multiplier bootstraps under strong mixing
Ivan Kojadinovic, Bingqing Yi
http://arxiv.org/abs/2106.10726v1
• [math.ST]Weighted Fractional Generalized Cumulative Past Entropy
Suchandan Kayal
http://arxiv.org/abs/2106.10312v1
• [physics.chem-ph]Representations and Strategies for Transferable Machine Learning Models in Chemical Discovery
Daniel R. Harper, Aditya Nandy, Naveen Arunachalam, Chenru Duan, Jon Paul Janet, Heather J. Kulik
http://arxiv.org/abs/2106.10768v1
• [physics.flu-dyn]Scientific multi-agent reinforcement learning for wall-models of turbulent flows
H. Jane Bae, Petros Koumoutsakos
http://arxiv.org/abs/2106.11144v1
• [physics.optics]Fundamental bounds on the precision of iSCAT, COBRI and dark-field microscopy for 3D localization and mass photometry
Jonathan Dong, Dante Maestre, Clara Conrad-Billroth, Thomas Juffmann
http://arxiv.org/abs/2106.10758v1
• [physics.soc-ph]Cumulative structure and path length in networks of knowledge
P. G. J. Persoon
http://arxiv.org/abs/2106.10480v1
• [physics.soc-ph]Intersectional synergies: untangling irreducible effects of intersecting identities via information decomposition
Thomas F. Varley
http://arxiv.org/abs/2106.10338v1
• [quant-ph]QFCNN: Quantum Fourier Convolutional Neural Network
Feihong Shen, Jun Liu
http://arxiv.org/abs/2106.10421v1
• [quant-ph]Quantum Machine Learning: Fad or Future?
Arhum Ishtiaq, Sara Mahmood
http://arxiv.org/abs/2106.10714v1
• [quant-ph]Rényi divergence inequalities via interpolation, with applications to generalised entropic uncertainty relations
Alexander McKinlay
http://arxiv.org/abs/2106.10415v1
• [stat.AP]Bayesian decision theory for tree-based adaptive screening tests with an application to youth delinquency
Chelsea Krantsevich, P. Richard Hahn, Yi Zheng, Charles Katz
http://arxiv.org/abs/2106.10364v1
• [stat.AP]Combined tests based on restricted mean time lost for competing risks data
Jingjing Lyu, Yawen Hou, Zheng Chen
http://arxiv.org/abs/2106.10624v1
• [stat.AP]Dynamic prediction and analysis based on restricted mean survival time in survival analysis with nonproportional hazards
Zijing Yang, Hongji Wu, Yawen Hou, Hao Yuan, Zheng Chen
http://arxiv.org/abs/2106.10625v1
• [stat.AP]Geographic and Racial Disparities in the Incidence of Low Birthweight in Pennsylvania
Guangzi Song, Loni Philip Tabb, Harrison Quick
http://arxiv.org/abs/2106.10571v1
• [stat.AP]The Expected Value of Perfect Information for Risk Prediction Models
Mohsen Sadatsafavi, Tae Yoon Lee, Paul Gustafson
http://arxiv.org/abs/2106.10721v1
• [stat.CO]Circuits for robust designs
Roberto Fontana, Fabio Rapallo, Henry P. Wynn
http://arxiv.org/abs/2106.11213v1
• [stat.CO]Life-cycle assessment for flutter probability of a long-span suspension bridge based on field monitoring data
Xiaolei Chu, Hung Nguyen Sinh, Wei Cui, Lin Zhao, Yaojun Ge
http://arxiv.org/abs/2106.10694v1
• [stat.ME]A generalized EMS algorithm for model selection with incomplete data
Ping-Feng Xu, Lai-Xu Shang, Man-Lai Tang, Na Shan, Guoliang Tian
http://arxiv.org/abs/2106.10983v1
• [stat.ME]Bayesian inference for continuous-time hidden Markov models with an unknown number of states
Yu Luo, David A. Stephens
http://arxiv.org/abs/2106.10660v1
• [stat.ME]Choosing the Estimand When Matching or Weighting in Observational Studies
Noah Greifer, Elizabeth A. Stuart
http://arxiv.org/abs/2106.10577v1
• [stat.ME]Constrained randomization and statistical inference for multi-arm parallel cluster randomized controlled trials
Yunji Zhou, Elizabeth L. Turner, Ryan A. Simmons, Fan Li
http://arxiv.org/abs/2106.10720v1
• [stat.ME]Discussion on Competition for Spatial Statistics for Large Datasets
Roman Flury, Reinhard Furrer
http://arxiv.org/abs/2106.10462v1
• [stat.ME]Dynamic group testing to control and monitor disease progression in a population
Sundara Rajan Srinivasavaradhan, Pavlos Nikolopoulos, Christina Fragouli, Suhas Diggavi
http://arxiv.org/abs/2106.10765v1
• [stat.ME]Estimation of time-specific intervention effects on continuously distributed time-to-event outcomes by targeted maximum likelihood estimation
Helene Charlotte Wiese Rytgaard, Frank Eriksson, Mark van der Laan
http://arxiv.org/abs/2106.11009v1
• [stat.ME]Fasano-Franceschini Test: an Implementation of a 2-Dimensional Kolmogorov-Smirnov test in R
Elan Ness-Cohn, Rosemary Braun
http://arxiv.org/abs/2106.10539v1
• [stat.ME]Generalized Spatial and Spatiotemporal ARCH Models
Philipp Otto, Wolfgang Schmid
http://arxiv.org/abs/2106.10477v1
• [stat.ME]On the bimodal Gumbel model with application to environmental data
Cira E. G. Otiniano, Roberto Vila, Pedro C. Brom, Marcelo Bourguignon
http://arxiv.org/abs/2106.10398v1
• [stat.ME]Robust Hierarchical Modeling of Counts under Zero-inflation and Outliers
Yasuyuki Hamura, Kaoru Irie, Shonosuke Sugasawa
http://arxiv.org/abs/2106.10503v1
• [stat.ME]Scalable Bayesian change point detection with spike and slab priors
Lorenzo Cappello, Oscar Hernan Madrid Padilla, Julia A. Palacios
http://arxiv.org/abs/2106.10383v1
• [stat.ME]Scalable Bayesian inference for time series via divide-and-conquer
Rihui Ou, Deborshee Sen, David Dunson
http://arxiv.org/abs/2106.11043v1
• [stat.ME]Sparse logistic regression on functional data
Yunnan Xu, Pang Du, John Robertson, Ryan Senger
http://arxiv.org/abs/2106.10583v1
• [stat.ME]Systemic Infinitesimal Over-dispersion on General Stochastic Graphical Models
Ning Ning, Edward L. Ionides
http://arxiv.org/abs/2106.10387v1
• [stat.ME]The Tangent Exponential Model
Anthony C. Davison, Nancy Reid
http://arxiv.org/abs/2106.10496v1
• [stat.ME]Tumor Radiogenomics with Bayesian Layered Variable Selection
Shariq Mohammed, Sebastian Kurtek, Karthik Bharath, Arvind Rao, Veerabhadran Baladandayuthapani
http://arxiv.org/abs/2106.10941v1
• [stat.ME]maars: Tidy Inference under the ‘Models as Approximations’ Framework in R
Riccardo Fogliato, Shamindra Shrotriya, Arun Kumar Kuchibhotla
http://arxiv.org/abs/2106.11188v1
• [stat.ML]Affine-Invariant Integrated Rank-Weighted Depth: Definition, Properties and Finite Sample Analysis
Guillaume Staerman, Pavlo Mozharovskyi, Stéphan Clémençon
http://arxiv.org/abs/2106.11068v1
• [stat.ML]Benign Overfitting in Multiclass Classification: All Roads Lead to Interpolation
Ke Wang, Vidya Muthukumar, Christos Thrampoulidis
http://arxiv.org/abs/2106.10865v1
• [stat.ML]Deep Learning for Functional Data Analysis with Adaptive Basis Layers
Junwen Yao, Jonas Mueller, Jane-Ling Wang
http://arxiv.org/abs/2106.10414v1
• [stat.ML]Differentiable Particle Filtering without Modifying the Forward Pass
Adam Ścibior, Vaden Masrani, Frank Wood
http://arxiv.org/abs/2106.10314v1
• [stat.ML]Learning the Preferences of Uncertain Humans with Inverse Decision Theory
Cassidy Laidlaw, Stuart Russell
http://arxiv.org/abs/2106.10394v1
• [stat.ML]Low-rank Characteristic Tensor Density Estimation Part II: Compression and Latent Density Estimation
Magda Amiridi, Nikos Kargas, Nicholas D. Sidiropoulos
http://arxiv.org/abs/2106.10591v1
• [stat.ML]Nested Variational Inference
Heiko Zimmermann, Hao Wu, Babak Esmaeili, Jan-Willem van de Meent
http://arxiv.org/abs/2106.11302v1
• [stat.ML]On the benefits of maximum likelihood estimation for Regression and Forecasting
Pranjal Awasthi, Abhimanyu Das, Rajat Sen, Ananda Theertha Suresh
http://arxiv.org/abs/2106.10370v1
• [stat.ML]Outlier Detection and Spatial Analysis Algorithms
Jacob John
http://arxiv.org/abs/2106.10669v1
• [stat.ML]Rayleigh-Gauss-Newton optimization with enhanced sampling for variational Monte Carlo
Robert J. Webber, Michael Lindsey
http://arxiv.org/abs/2106.10558v1
• [stat.ML]Spliced Binned-Pareto Distribution for Robust Modeling of Heavy-tailed Time Series
Elena Ehrlich, Laurent Callot, François-Xavier Aubet
http://arxiv.org/abs/2106.10952v1
• [stat.ML]Stratified Learning: a general-purpose statistical method for improved learning under Covariate Shift
Maximilian Autenrieth, David A. van Dyk, Roberto Trotta, David C. Stenning
http://arxiv.org/abs/2106.11211v1