astro-ph.IM - 仪器仪表和天体物理学方法
astro-ph.SR - 太阳和天体物理学恒星
cond-mat.mes-hall - 尺度和物理纳米
cs.AI - 人工智能
cs.CC - 计算复杂度
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.DC - 分布式、并行与集群计算
cs.DS - 数据结构与算法
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.NE - 神经与进化计算
cs.NI - 网络和互联网体系结构
cs.RO - 机器人学
cs.SD - 声音处理
cs.SE - 软件工程
cs.SI - 社交网络与信息网络
econ.EM - 计量经济学
eess.AS - 语音处理
eess.IV - 图像与视频处理
eess.SP - 信号处理
eess.SY - 系统和控制
hep-lat - 高能物理晶格
math-ph - 数学物理
math.CO - 组合数学
math.NT - 数论
math.OC - 优化与控制
math.PR - 概率
math.ST - 统计理论
physics.comp-ph - 计算物理学
physics.med-ph - 医学物理学
q-bio.BM - 生物分子
q-bio.NC - 神经元与认知
q-bio.PE - 人口与发展
q-bio.QM - 定量方法
quant-ph - 量子物理
stat.AP - 应用统计
stat.ME - 统计方法论
stat.ML - (统计)机器学习
• [astro-ph.IM]The EOSC-Synergy cloud services implementation for the Latin American Giant Observatory (LAGO)
• [astro-ph.SR]Accelerating non-LTE synthesis and inversions with graph networks
• [cond-mat.mes-hall]Bridging the reality gap in quantum devices with physics-aware machine learning
• [cs.AI]A hybrid optimization approach for employee rostering: Use cases at Swissgrid and lessons learned
• [cs.AI]Branching Time Active Inference: empirical study and complexity class analysis
• [cs.AI]Branching Time Active Inference: the theory and its generality
• [cs.AI]Calculus of Consent via MARL: Legitimating the Collaborative Governance Supplying Public Goods
• [cs.AI]General Board Geometry
• [cs.AI]Inter-Domain Fusion for Enhanced Intrusion Detection in Power Systems: An Evidence Theoretic and Meta-Heuristic Approach
• [cs.AI]Multi-lingual agents through multi-headed neural networks
• [cs.AI]Optimistic Temporal Difference Learning for 2048
• [cs.AI]Quality and Computation Time in Optimization Problems
• [cs.AI]Surprise Minimization Revision Operators
• [cs.AI]Towards safe, explainable, and regulated autonomous driving
• [cs.CC]Algorithmizing the Multiplicity Schwartz-Zippel Lemma
• [cs.CC]Johnson Coverage Hypothesis: Inapproximability of k-means and k-median in L_p metrics
• [cs.CC]Learning algorithms versus automatability of Frege systems
• [cs.CL]Capitalization and Punctuation Restoration: a Survey
• [cs.CL]Combining Data-driven Supervision with Human-in-the-loop Feedback for Entity Resolution
• [cs.CL]DLVGen: A Dual Latent Variable Approach to Personalized Dialogue Generation
• [cs.CL]Data Processing Matters: SRPH-Konvergen AI’s Machine Translation System for WMT’21
• [cs.CL]ExT5: Towards Extreme Multi-Task Scaling for Transfer Learning
• [cs.CL]Exploring Language Patterns in a Medical Licensure Exam Item Bank
• [cs.CL]Finding the Winning Ticket of BERT for Binary Text Classification via Adaptive Layer Truncation before Fine-tuning
• [cs.CL]Graph-augmented Learning to Rank for Querying Large-scale Knowledge Graph
• [cs.CL]Hierarchical Knowledge Distillation for Dialogue Sequence Labeling
• [cs.CL]Hierarchy Decoder is All You Need To Text Classification
• [cs.CL]Human-Machine Interaction Speech Corpus from the ROBIN project
• [cs.CL]Improving Tagging Consistency and Entity Coverage for Chemical Identification in Full-text Articles
• [cs.CL]Is Speech Emotion Recognition Language-Independent? Analysis of English and Bangla Languages using Language-Independent Vocal Features
• [cs.CL]Jointly Dynamic Topic Model for Recognition of Lead-lag Relationship in Two Text Corpora
• [cs.CL]Knowledge Based Multilingual Language Model
• [cs.CL]More Romanian word embeddings from the RETEROM project
• [cs.CL]Namesakes: Ambiguously Named Entities from Wikipedia and News
• [cs.CL]RDF-to-Text Generation with Reinforcement Learning Based Graph-augmented Structural Neural Encoders
• [cs.CL]Reinforcement Learning for Few-Shot Text Generation Adaptation
• [cs.CL]Textbook to triples: Creating knowledge graph in the form of triples from AI TextBook
• [cs.CL]The ComMA Dataset V0.2: Annotating Aggression and Bias in Multilingual Social Media Discourse
• [cs.CL]TraVLR: Now You See It, Now You Don’t! Evaluating Cross-Modal Transfer of Visio-Linguistic Reasoning
• [cs.CR]Backdoor Attack through Frequency Domain
• [cs.CR]Malicious Selling Strategies in Livestream Shopping: A Cast Study of Alibaba’s Taobao and ByteDance’s Douyin
• [cs.CR]NTD: Non-Transferability Enabled Backdoor Detection
• [cs.CR]RacketStore: Measurements of ASO Deception in Google Play via Mobile and App Usage
• [cs.CV]3D Visual Tracking Framework with Deep Learning for Asteroid Exploration
• [cs.CV]A Deeper Look into DeepCap
• [cs.CV]A photosensor employing data-driven binning for ultrafast image recognition
• [cs.CV]ACR-Pose: Adversarial Canonical Representation Reconstruction Network for Category Level 6D Object Pose Estimation
• [cs.CV]AGA-GAN: Attribute Guided Attention Generative Adversarial Network with U-Net for Face Hallucination
• [cs.CV]Adversarial Examples on Segmentation Models Can be Easy to Transfer
• [cs.CV]Adversarial Mask: Real-World Adversarial Attack Against Face Recognition Models
• [cs.CV]Are Vision Transformers Robust to Patch Perturbations?
• [cs.CV]Auto-Encoding Score Distribution Regression for Action Quality Assessment
• [cs.CV]Benchmarking Detection Transfer Learning with Vision Transformers
• [cs.CV]CATNet: Context AggregaTion Network for Instance Segmentation in Remote Sensing Images
• [cs.CV]CDistNet: Perceiving Multi-Domain Character Distance for Robust Text Recognition
• [cs.CV]CamLiFlow: Bidirectional Camera-LiDAR Fusion for Joint Optical Flow and Scene Flow Estimation
• [cs.CV]Conifer Seedling Detection in UAV-Imagery with RGB-Depth Information
• [cs.CV]Contour-guided Image Completion with Perceptual Grouping
• [cs.CV]Contrast-reconstruction Representation Learning for Self-supervised Skeleton-based Action Recognition
• [cs.CV]CpT: Convolutional Point Transformer for 3D Point Cloud Processing
• [cs.CV]DIVeR: Real-time and Accurate Neural Radiance Fields with Deterministic Integration for Volume Rendering
• [cs.CV]Deep Reinforced Attention Regression for Partial Sketch Based Image Retrieval
• [cs.CV]Deformation Robust Roto-Scale-Translation Equivariant CNNs
• [cs.CV]Delving into Rectifiers in Style-Based Image Translation
• [cs.CV]Denoised Internal Models: a Brain-Inspired Autoencoder against Adversarial Attacks
• [cs.CV]Dense Uncertainty Estimation via an Ensemble-based Conditional Latent Variable Model
• [cs.CV]Depth-aware Object Segmentation and Grasp Detection for Robotic Picking Tasks
• [cs.CV]Direct Voxel Grid Optimization: Super-fast Convergence for Radiance Fields Reconstruction
• [cs.CV]Discrete Representations Strengthen Vision Transformer Robustness
• [cs.CV]DyTox: Transformers for Continual Learning with DYnamic TOken eXpansion
• [cs.CV]Efficient Non-Compression Auto-Encoder for Driving Noise-based Road Surface Anomaly Detection
• [cs.CV]Evaluating Adversarial Attacks on ImageNet: A Reality Check on Misclassification Classes
• [cs.CV]Exploiting Multi-Scale Fusion, Spatial Attention and Patch Interaction Techniques for Text-Independent Writer Identification
• [cs.CV]Exploring Feature Representation Learning for Semi-supervised Medical Image Segmentation
• [cs.CV]Extracting Deformation-Aware Local Features by Learning to Deform
• [cs.CV]FAMINet: Learning Real-time Semi-supervised Video Object Segmentation with Steepest Optimized Optical Flow
• [cs.CV]FCOSR: A Simple Anchor-free Rotated Detector for Aerial Object Detection
• [cs.CV]Face Presentation Attack Detection using Taskonomy Feature
• [cs.CV]FedCV: A Federated Learning Framework for Diverse Computer Vision Tasks
• [cs.CV]Florence: A New Foundation Model for Computer Vision
• [cs.CV]FlowVOS: Weakly-Supervised Visual Warping for Detail-Preserving and Temporally Consistent Single-Shot Video Object Segmentation
• [cs.CV]GB-CosFace: Rethinking Softmax-based Face Recognition from the Perspective of Open Set Classification
• [cs.CV]Geometry-Aware Multi-Task Learning for Binaural Audio Generation from Video
• [cs.CV]HoughCL: Finding Better Positive Pairs in Dense Self-supervised Learning
• [cs.CV]Identity-Preserving Pose-Robust Face Hallucination Through Face Subspace Prior
• [cs.CV]Imperceptible Transfer Attack and Defense on 3D Point Cloud Classification
• [cs.CV]Improving Semantic Image Segmentation via Label Fusion in Semantically Textured Meshes
• [cs.CV]L-Verse: Bidirectional Generation Between Image and Text
• [cs.CV]MUM : Mix Image Tiles and UnMix Feature Tiles for Semi-Supervised Object Detection
• [cs.CV]MaIL: A Unified Mask-Image-Language Trimodal Network for Referring Image Segmentation
• [cs.CV]Many Heads but One Brain: an Overview of Fusion Brain Challenge on AI Journey 2021
• [cs.CV]Medical Aegis: Robust adversarial protectors for medical images
• [cs.CV]Mesa: A Memory-saving Training Framework for Transformers
• [cs.CV]MetaFormer is Actually What You Need for Vision
• [cs.CV]MiNet: A Convolutional Neural Network for Identifying and Categorising Minerals
• [cs.CV]MidNet: An Anchor-and-Angle-Free Detector for Oriented Ship Detection in Aerial Images
• [cs.CV]Model-Based Single Image Deep Dehazing
• [cs.CV]Monocular Road Planar Parallax Estimation
• [cs.CV]Multi-modal Transformers Excel at Class-agnostic Object Detection
• [cs.CV]Myope Models — Are face presentation attack detection models short-sighted?
• [cs.CV]Neural Fields in Visual Computing and Beyond
• [cs.CV]Paris-CARLA-3D: A Real and Synthetic Outdoor Point Cloud Dataset for Challenging Tasks in 3D Mapping
• [cs.CV]Point Cloud Color Constancy
• [cs.CV]PointMixer: MLP-Mixer for Point Cloud Understanding
• [cs.CV]Real-time Human Detection Model for Edge Devices
• [cs.CV]RedCaps: web-curated image-text data created by the people, for the people
• [cs.CV]Representing Prior Knowledge Using Randomly, Weighted Feature Networks for Visual Relationship Detection
• [cs.CV]Robust Visual Odometry Using Position-Aware Flow and Geometric Bundle Adjustment
• [cs.CV]S3: Supervised Self-supervised Learning under Label Noise
• [cs.CV]Self-Supervised Point Cloud Completion via Inpainting
• [cs.CV]Self-supervised Semi-supervised Learning for Data Labeling and Quality Evaluation
• [cs.CV]Semi-Supervised Vision Transformers
• [cs.CV]Simulated LiDAR Repositioning: a novel point cloud data augmentation method
• [cs.CV]Solar Potential Assessment using Multi-Class Buildings Segmentation from Aerial Images
• [cs.CV]Sparse Tensor-based Multiscale Representation for Point Cloud Geometry Compression
• [cs.CV]StylePart: Image-based Shape Part Manipulation
• [cs.CV]Teacher-Student Training and Triplet Loss to Reduce the Effect of Drastic Face Occlusion
• [cs.CV]Temporal-MPI: Enabling Multi-Plane Images for Dynamic Scene Modelling via Temporal Basis Learning
• [cs.CV]Topological Regularization for Dense Prediction
• [cs.CV]Towards Scalable Unpaired Virtual Try-On via Patch-Routed Spatially-Adaptive GAN
• [cs.CV]Towards Tokenized Human Dynamics Representation
• [cs.CV]Tracking Grow-Finish Pigs Across Large Pens Using Multiple Cameras
• [cs.CV]Understanding Pixel-level 2D Image Semantics with 3D Keypoint Knowledge Engine
• [cs.CV]Unsupervised Domain Adaptation for Device-free Gesture Recognition
• [cs.CV]Video Content Swapping Using GAN
• [cs.CV]VideoPose: Estimating 6D object pose from videos
• [cs.CV]Why Do Self-Supervised Models Transfer? Investigating the Impact of Invariance on Downstream Tasks
• [cs.CV]XnODR and XnIDR: Two Accurate and Fast Fully Connected Layers For Convolutional Neural Networks
• [cs.CV]Zero-Shot Certified Defense against Adversarial Patches with Vision Transformers
• [cs.CY]Comparing the Language of QAnon-related content on Parler, Gab, and Twitter
• [cs.CY]Consequences of Optimality
• [cs.CY]On Fairness and Stability in Two-Sided Matchings
• [cs.CY]The Hidden Costs of Requiring Accounts: Quasi-Experimental Evidence From Peer Production
• [cs.DC]Doing More by Doing Less: How Structured Partial Backpropagation Improves Deep Learning Clusters
• [cs.DC]HeterPS: Distributed Deep Learning With Reinforcement Learning Based Scheduling in Heterogeneous Environments
• [cs.DC]High-Performance Ptychographic Reconstruction with Federated Facilities
• [cs.DC]IAD: Indirect Anomalous VMMs Detection in the Cloud-based Environment
• [cs.DC]New Clocks, Optimal Line Formation and Efficient Replication Population Protocols (Making Population Protocols Alive)
• [cs.DC]Parallel Logic Programming: A Sequel
• [cs.DC]Theoretically and Practically Efficient Parallel Nucleus Decomposition
• [cs.DS]Distributed CONGEST Approximation of Weighted Vertex Covers and Matchings
• [cs.DS]Faster Deterministic Approximation Algorithms for Correlation Clustering and Cluster Deletion
• [cs.HC]COVID Induced Digital Inequality for Senior Citizens
• [cs.HC]Distinguishing Engagement Facets: An Essential Component for AI-based Healthcare
• [cs.IR]Edge-Enhanced Global Disentangled Graph Neural Network for Sequential Recommendation
• [cs.IR]Effects of context, complexity, and clustering on evaluation for math formula retrieval
• [cs.IR]Federated Social Recommendation with Graph Neural Network
• [cs.IR]Learning Explicit User Interest Boundary for Recommendation
• [cs.IR]Quaternion-Based Graph Convolution Network for Recommendation
• [cs.IR]The Generalized Cascade Click Model: A Unified Framework for Estimating Click Models
• [cs.IR]The Impact of Main Content Extraction on Near-Duplicate Detection
• [cs.IT]A User Centric Blockage Model for Wireless Networks
• [cs.IT]An Asymptotically Optimal Approximation of the Conditional Mean Channel Estimator based on Gaussian Mixture Models
• [cs.IT]Broadband Digital Over-the-Air Computation for Asynchronous Federated Edge Learning
• [cs.IT]Capacity Optimal Generalized Multi-User MIMO: A Theoretical and Practical Framework
• [cs.IT]Data Sensing and Offloading in Edge Computing Networks: TDMA or NOMA?
• [cs.IT]Design of an Novel Spectrum Sensing Scheme Based on Long Short-Term Memory and Experimental Validation
• [cs.IT]Environment-Aware Beam Selection for IRS-Aided Communication with Channel Knowledge Map
• [cs.IT]HybNet: A Hybrid Deep Learning — Matched Filter Approach for IoT Signal Detection
• [cs.IT]Improving Sum-Rate of Cell-Free Massive MIMO with Expanded Compute-and-Forward
• [cs.IT]Optimal Grouping Strategy for Reconfigurable Intelligent Surface Assisted Wireless Communications
• [cs.IT]Poisson Noise Channel with Dark Current: Numerical Computation of the Optimal Input Distribution
• [cs.IT]Power Control in Cell-Free Massive MIMO Networks for UAVs URLLC under the Finite Blocklength Regime
• [cs.IT]Reconfigurable Intelligent Surfaces: Performance Assessment Through a System-Level Simulator
• [cs.IT]Sliding Network Coding for URLLC
• [cs.IT]Study of Polar Codes Based on Piecewise Gaussian Approximation
• [cs.IT]The KICK-OFF of 6G Research Worldwide: An Overview
• [cs.IT]Turbo Autoencoder with a Trainable Interleaver
• [cs.LG]A Closer Look at Loss Weighting in Multi-Task Learning
• [cs.LG]A Semi-Supervised Adaptive Discriminative Discretization Method Improving Discrimination Power of Regularized Naive Bayes
• [cs.LG]A Surrogate Objective Framework for Prediction+Optimization with Soft Constraints
• [cs.LG]Accretionary Learning with Deep Neural Networks
• [cs.LG]Adaptive Transfer Learning: a simple but effective transfer learning
• [cs.LG]Anomaly-resistant Graph Neural Networks via Neural Architecture Search
• [cs.LG]BarrierNet: A Safety-Guaranteed Layer for Neural Networks
• [cs.LG]Benchmarking Predictive Risk Models for Emergency Departments with Large Public Electronic Health Records
• [cs.LG]Bilevel learning of l1-regularizers with closed-form gradients(BLORC)
• [cs.LG]Calibrated Diffusion Tensor Estimation
• [cs.LG]Case-based off-policy policy evaluation using prototype learning
• [cs.LG]Cycle Consistent Probability Divergences Across Different Spaces
• [cs.LG]DAPPER: Performance Estimation of Domain Adaptation in Mobile Sensing
• [cs.LG]Data Excellence for AI: Why Should You Care
• [cs.LG]Decentralized Multi-Armed Bandit Can Outperform Classic Upper Confidence Bound
• [cs.LG]Deep Probability Estimation
• [cs.LG]Density Ratio Estimation via Infinitesimal Classification
• [cs.LG]Differentiable Projection for Constrained Deep Learning
• [cs.LG]Distributed Unsupervised Visual Representation Learning with Fused Features
• [cs.LG]Dynamic Graph Representation Learning via Graph Transformer Networks
• [cs.LG]Efficient Softmax Approximation for Deep Neural Networks with Attention Mechanism
• [cs.LG]End-to-end Learning for Fair Ranking Systems
• [cs.LG]Episodic Multi-agent Reinforcement Learning with Curiosity-Driven Exploration
• [cs.LG]Explainable Biomedical Recommendations via Reinforcement Learning Reasoning on Knowledge Graphs
• [cs.LG]Feature extraction of machine learning and phase transition point of Ising model
• [cs.LG]Feature selection or extraction decision process for clustering using PCA and FRSD
• [cs.LG]Federated Learning with Domain Generalization
• [cs.LG]Generalizing Graph Neural Networks on Out-Of-Distribution Graphs
• [cs.LG]Generating meta-learning tasks to evolve parametric loss for classification learning
• [cs.LG]Generation Drawing/Grinding Trajectoy Based on Hierarchical CVAE
• [cs.LG]Gradient Temporal Difference with Momentum: Stability and Convergence
• [cs.LG]Graph-Based Similarity of Neural Network Representations
• [cs.LG]Identifying Population Movements with Non-Negative Matrix Factorization from Wi-Fi User Counts in Smart and Connected Cities
• [cs.LG]Improved Model based Deep Learning using Monotone Operator Learning (MOL)
• [cs.LG]LeQua@CLEF2022: Learning to Quantify
• [cs.LG]Learning Non-Stationary Time-Series with Dynamic Pattern Extractions
• [cs.LG]Learning by
1618
Active Forgetting for Neural Networks
• [cs.LG]Local Linearity and Double Descent in Catastrophic Overfitting
• [cs.LG]MURAL: An Unsupervised Random Forest-Based Embedding for Electronic Health Record Data
• [cs.LG]Machine Learning for Mechanical Ventilation Control (Extended Abstract)
• [cs.LG]Modeling Irregular Time Series with Continuous Recurrent Units
• [cs.LG]Network representation learning: A macro and micro view
• [cs.LG]Network-wide Multi-step Traffic Volume Prediction using Graph Convolutional Gated Recurrent Neural Network
• [cs.LG]No-Regret Dynamics in the Fenchel Game: A Unified Framework for Algorithmic Convex Optimization
• [cs.LG]Off-Policy Correction For Multi-Agent Reinforcement Learning
• [cs.LG]Offline Reinforcement Learning: Fundamental Barriers for Value Function Approximation
• [cs.LG]On the Existence of Universal Lottery Tickets
• [cs.LG]Plan Better Amid Conservatism: Offline Multi-Agent Reinforcement Learning with Actor Rectification
• [cs.LG]Plant ‘n’ Seek: Can You Find the Winning Ticket?
• [cs.LG]Policy Gradient and Actor-Critic Learning in Continuous Time and Space: Theory and Algorithms
• [cs.LG]Privacy-preserving Federated Adversarial Domain Adaption over Feature Groups for Interpretability
• [cs.LG]ProxyFL: Decentralized Federated Learning through Proxy Model Sharing
• [cs.LG]SOMPS-Net : Attention based social graph framework for early detection of fake health news
• [cs.LG]SPINE: Soft Piecewise Interpretable Neural Equations
• [cs.LG]Safe Multi-Task Learning
• [cs.LG]Stochastic Variance Reduced Ensemble Adversarial Attack for Boosting the Adversarial Transferability
• [cs.LG]Teaching Humans When To Defer to a Classifier via Examplars
• [cs.LG]The Joy of Neural Painting
• [cs.LG]Towards Graph Self-Supervised Learning with Contrastive Adjusted Zooming
• [cs.LG]Towards Return Parity in Markov Decision Processes
• [cs.LG]Towards Understanding the Unreasonable Effectiveness of Learning AC-OPF Solutions
• [cs.LG]Unsupervised Time Series Outlier Detection with Diversity-Driven Convolutional Ensembles — Extended Version
• [cs.LG]Vulcan: Solving the Steiner Tree Problem with Graph Neural Networks and Deep Reinforcement Learning
• [cs.LG]WalkingTime: Dynamic Graph Embedding Using Temporal-Topological Flows
• [cs.LO]Vector Space Semantics for Lambek Calculus with Soft Subexponentials
• [cs.MA]Renewable energy integration and microgrid energy trading using multi-agent deep reinforcement learning
• [cs.NE]MCS-HMS: A Multi-Cluster Selection Strategy for the Human Mental Search Algorithm
• [cs.NI]Time-Critical Tasks Implementation in MEC based Multi-Robot Cooperation Systems
• [cs.RO]A Gaussian Process-Based Ground Segmentation for Sloped Terrains
• [cs.RO]A General Framework for Lifelong Localization and Mapping in Changing Environment
• [cs.RO]Analysis of Exploration vs. Exploitation in Adaptive Information Sampling
• [cs.RO]Balancing Efficiency and Comfort in Robot-Assisted Bite Transfer
• [cs.RO]Bridging the gap between learning and heuristic based pushing policies
• [cs.RO]Frailty Care Robot for Elderly and Its Application for Physical and Psychological Support
• [cs.RO]Hybrid Imitative Planning with Geometric and Predictive Costs in Off-road Environments
• [cs.RO]Imitation and Supervised Learning of Compliance for Robotic Assembly
• [cs.RO]Nanorobot queue: Cooperative treatment of cancer based on team member communication and image processing
• [cs.RO]Online Coverage Planning for an Autonomous Weed Mowing Robot with Curvature Constraints
• [cs.RO]Operations for Autonomous Spacecraft
• [cs.RO]Practical Distributed Control for Cooperative Multicopters in Structured Free Flight Concepts
• [cs.RO]Real-World Semantic Grasping Detection
• [cs.RO]RoboKit-MV: an Educational Initiative
• [cs.RO]Talk-to-Resolve: Combining scene understanding and spatial dialogue to resolve granular task ambiguity for a collocated robot
• [cs.RO]UMBRELLA: Uncertainty-Aware Model-Based Offline Reinforcement Learning Leveraging Planning
• [cs.RO]Unified Modeling of Unconventional Modular and Reconfigurable Manipulation System
• [cs.SD]Comparing the Accuracy of Deep Neural Networks (DNN) and Convolutional Neural Network (CNN) in Music Genre Recognition (MGR): Experiments on Kurdish Music
• [cs.SD]Deep Spoken Keyword Spotting: An Overview
• [cs.SD]Health Monitoring of Industrial machines using Scene-Aware Threshold Selection
• [cs.SD]Multi-Channel Multi-Speaker ASR Using 3D Spatial Feature
• [cs.SE]A Software Tool for Evaluating Unmanned Autonomous Systems
• [cs.SI]A Domain-Independent Holistic Approach to Deception Detection
• [cs.SI]Are Proactive Interventions for Reddit Communities Feasible?
• [cs.SI]Community-Detection via Hashtag-Graphs for Semi-Supervised NMF Topic Models
• [cs.SI]Degree-Corrected Distribution-Free Model for Community Detection in weighted networks
• [cs.SI]Detecting Influenza Epidemics on Twitter
• [cs.SI]Misrepresenting Scientific Consensus on COVID-19: The Amplification of Dissenting Scientists on Twitter
• [cs.SI]Sequential locality of graphs and its hypothesis testing
• [cs.SI]Towards Improving Embedding Based Models of Social Network Alignment via Pseudo Anchors
• [cs.SI]Vaccine Search Patterns Provide Insights into Vaccination Intent
• [cs.SI]WEM: A Node Importance Algorithm in Weighted Networks
• [cs.SI]Winds of Change: Impact of COVID-19 on Vaccine-related Opinions of Twitter users
• [econ.EM]Why Synthetic Control estimators are biased and what to do about it: Introducing Relaxed and Penalized Synthetic Controls
• [eess.AS]ARMAS: Active Reconstruction of Missing Audio Segments
• [eess.IV]4D iterative reconstruction of brain fMRI in the moving fetus
• [eess.IV]A Review on The Division of Magnetic Resonant Prostate Images with Deep Learning
• [eess.IV]Automated cross-sectional view selection in CT angiography of aortic dissections with uncertainty awareness and retrospective clinical annotations
• [eess.IV]COVID-19 Detection through Deep Feature Extraction
• [eess.IV]Constrained Deep One-Class Feature Learning For Classifying Imbalanced Medical Images
• [eess.IV]Deep Image Prior using Stein’s Unbiased Risk Estimator: SURE-DIP
• [eess.IV]Deep Learning Based Automated COVID-19 Classification from Computed Tomography Images
• [eess.IV]Domain Generalization for Mammography Detection via Multi-style and Multi-view Contrastive Learning
• [eess.IV]DuDoTrans: Dual-Domain Transformer Provides More Attention for Sinogram Restoration in Sparse-View CT Reconstruction
• [eess.IV]Dynamic imaging using motion-compensated smoothness regularization on manifolds (MoCo-SToRM)
• [eess.IV]FAZSeg: A New User-Friendly Software for Quantification of the Foveal Avascular Zone
• [eess.IV]FreqNet: A Frequency-domain Image Super-Resolution Network with Dicrete Cosine Transform
• [eess.IV]GMSRF-Net: An improved generalizability with global multi-scale residual fusion network for polyp segmentation
• [eess.IV]Joint alignment and reconstruction of multislice dynamic MRI using variational manifold learning
• [eess.IV]Local-Selective Feature Distillation for Single Image Super-Resolution
• [eess.IV]Medical Knowledge-Guided Deep Learning for Imbalanced Medical Image Classification
• [eess.IV]One-shot Weakly-Supervised Segmentation in Medical Images
• [eess.IV]PAANet: Progressive Alternating Attention for Automatic Medical Image Segmentation
• [eess.IV]Structure-Preserving Graph Kernel for Brain Network Classification
• [eess.IV]TransMorph: Transformer for unsupervised medical image registration
• [eess.SP]CDMA for Underwater Acoustic Communication
• [eess.SP]Satellite Based Computing Networks with Federated Learning
• [eess.SP]Semi-supervised Impedance Inversion by Bayesian Neural Network Based on 2-d CNN Pre-training
• [eess.SP]Vehicular Visible Light Communications Noise Analysis and Autoencoder Based Denoising
• [eess.SY]Automated Controller Calibration by Kalman Filtering
• [eess.SY]Location-aware Beamforming for MIMO-enabled UAV Communications: An Unknown Input Observer Approach
• [hep-lat]Machine Learning of Thermodynamic Observables in the Presence of Mode Collapse
• [math-ph]Modular structure of the Weyl algebra
• [math.CO]The -queens completion problem
• [math.NT]On the functional graph of %3Dc(X%5E%7Bq%2B1%7D%2BaX%5E2)#card=math&code=f%28X%29%3Dc%28X%5E%7Bq%2B1%7D%2BaX%5E2%29&id=uD6Cy) over quadratic extensions of finite fields
• [math.OC]Modeling Design and Control Problems Involving Neural Network Surrogates
• [math.PR]Conditioning continuous-time Markov processes by guiding
• [math.ST]A Pseudo-Inverse for Nonlinear Operators
• [math.ST]Convergence rates for Metropolis-Hastings algorithms in the Wasserstein distance
• [math.ST]On asymptotic behavior of the prediction error for a class of deterministic stationary sequences
• [physics.comp-ph]Implicit Quantile Neural Networks for Jet Simulation and Correction
• [physics.med-ph]Evaluation of automated airway morphological quantification for assessing fibrosing lung disease
• [q-bio.BM]Simple End-to-end Deep Learning Model for CDR-H3 Loop Structure Prediction
• [q-bio.NC]Kalman filters as the steady-state solution of gradient descent on variational free energy
• [q-bio.PE]Drewnowski’s index to measure lifespan variation: Revisiting the Gini coefficient of the life table
• [q-bio.QM]Image-Like Graph Representations for Improved Molecular Property Prediction
• [q-bio.QM]Localized Mutual Information Monitoring of Pairwise Associations in Animal Movement
• [q-bio.QM]SNPs Filtered by Allele Frequency Improve the Prediction of Hypertension Subtypes
• [quant-ph]Error Probability Mitigation in Quantum Reading using Classical Codes
• [quant-ph]Memory erasure with finite-sized spin reservoir
• [stat.AP]Adaptive State-Space Multitaper Spectral Estimation
• [stat.AP]Statistical Analysis Plan for Health Outcomes in Phase 1 of the SEARCH-IPT Study
• [stat.ME]A linear adjustment based approach to posterior drift in transfer learning
• [stat.ME]Confidences in Hypotheses
• [stat.ME]Decorrelated Variable Importance
• [stat.ME]Gradient-based estimation of linear Hawkes processes with general kernels
• [stat.ME]Monotonicity assumptions in estimating the treatment effect for a principal stratum
• [stat.ME]Nonparametric estimator of the tail dependence coefficient: balancing bias and variance
• [stat.ME]Seasonal Count Time Series
• [stat.ME]Semismooth Newton Augmented Lagrangian Algorithm for Adaptive Lasso Penalized Least Squares in Semiparametric Regression
• [stat.ME]Spatial Correlation in Weather Forecast Accuracy: A Functional Time Series Approach
• [stat.ME]The R2D2 Prior for Generalized Linear Mixed Models
• [stat.ME]Using prior information to boost power in correlation structure support recovery
• [stat.ML]A Data-Driven Line Search Rule for Support Recovery in High-dimensional Data Analysis
• [stat.ML]Bayesian Learning via Neural Schrödinger-Föllmer Flows
• [stat.ML]Gaussian Process Inference Using Mini-batch Stochastic Gradient Descent: Convergence Guarantees and Empirical Benefits
• [stat.ML]How do kernel-based sensor fusion algorithms behave under high dimensional noise?
• [stat.ML]Learning PSD-valued functions using kernel sums-of-squares
• [stat.ML]Low-Discrepancy Points via Energetic Variational Inference
• [stat.ML]PAC-Learning Uniform Ergodic Communicative Networks
• [stat.ML]Private and polynomial time algorithms for learning Gaussians and beyond
• [stat.ML]Transfer Learning with Gaussian Processes for Bayesian Optimization
·····································
• [astro-ph.IM]The EOSC-Synergy cloud services implementation for the Latin American Giant Observatory (LAGO)
Juan Antonio Rubio-Montero, Raúl Pagán-Muñoz, Rafael Mayo-García, Alfonso Pardo-Diaz, Iván Sidelnik, Hernán Asorey
http://arxiv.org/abs/2111.11190v1
• [astro-ph.SR]Accelerating non-LTE synthesis and inversions with graph networks
A. Vicente Arévalo, A. Asensio Ramos, S. Esteban Pozuelo
http://arxiv.org/abs/2111.10552v1
• [cond-mat.mes-hall]Bridging the reality gap in quantum devices with physics-aware machine learning
D. L. Craig, H. Moon, F. Fedele, D. T. Lennon, B. Van Straaten, F. Vigneau, L. C. Camenzind, D. M. Zumbühl, G. A. D. Briggs, M. A. Osborne, D. Sejdinovic, N. Ares
http://arxiv.org/abs/2111.11285v1
• [cs.AI]A hybrid optimization approach for employee rostering: Use cases at Swissgrid and lessons learned
Jangwon Park, Evangelos Vrettos
http://arxiv.org/abs/2111.10845v1
• [cs.AI]Branching Time Active Inference: empirical study and complexity class analysis
Théophile Champion, Howard Bowman, Marek Grześ
http://arxiv.org/abs/2111.11276v1
• [cs.AI]Branching Time Active Inference: the theory and its generality
Théophile Champion, Lancelot Da Costa, Howard Bowman, Marek Grześ
http://arxiv.org/abs/2111.11107v1
• [cs.AI]Calculus of Consent via MARL: Legitimating the Collaborative Governance Supplying Public Goods
Yang Hu, Zhui Zhu, Sirui Song, Xue Liu, Yang Yu
http://arxiv.org/abs/2111.10627v1
• [cs.AI]General Board Geometry
Cameron Browne, Éric Piette, Matthew Stephenson, Dennis J. N. J. Soemers
http://arxiv.org/abs/2111.11329v1
• [cs.AI]Inter-Domain Fusion for Enhanced Intrusion Detection in Power Systems: An Evidence Theoretic and Meta-Heuristic Approach
Abhijeet Sahu, Katherine Davis
http://arxiv.org/abs/2111.10484v1
• [cs.AI]Multi-lingual agents through multi-headed neural networks
J. D. Thomas, R. Santos-Rodríguez, R. Piechocki, M. Anca
http://arxiv.org/abs/2111.11129v1
• [cs.AI]Optimistic Temporal Difference Learning for 2048
Hung Guei, Lung-Pin Chen, I-Chen Wu
http://arxiv.org/abs/2111.11090v1
• [cs.AI]Quality and Computation Time in Optimization Problems
Zhicheng He
http://arxiv.org/abs/2111.10595v1
• [cs.AI]Surprise Minimization Revision Operators
Adrian Haret
http://arxiv.org/abs/2111.10896v1
• [cs.AI]Towards safe, explainable, and regulated autonomous driving
Shahin Atakishiyev, Mohammad Salameh, Hengshuai Yao, Randy Goebel
http://arxiv.org/abs/2111.10518v1
• [cs.CC]Algorithmizing the Multiplicity Schwartz-Zippel Lemma
S. Bhandari, P. Harsha, M. Kumar, A. Shankar
http://arxiv.org/abs/2111.11072v1
• [cs.CC]Johnson Coverage Hypothesis: Inapproximability of k-means and k-median in L_p metrics
Vincent Cohen-Addad, Karthik C. S., Euiwoong Lee
http://arxiv.org/abs/2111.10912v1
• [cs.CC]Learning algorithms versus automatability of Frege systems
Ján Pich, Rahul Santhanam
http://arxiv.org/abs/2111.10626v1
• [cs.CL]Capitalization and Punctuation Restoration: a Survey
Vasile Păiş, Dan Tufiş
http://arxiv.org/abs/2111.10746v1
• [cs.CL]Combining Data-driven Supervision with Human-in-the-loop Feedback for Entity Resolution
Wenpeng Yin, Shelby Heinecke, Jia Li, Nitish Shirish Keskar, Michael Jones, Shouzhong Shi, Stanislav Georgiev, Kurt Milich, Joseph Esposito, Caiming Xiong
http://arxiv.org/abs/2111.10497v1
• [cs.CL]DLVGen: A Dual Latent Variable Approach to Personalized Dialogue Generation
Jing Yang Lee, Kong Aik Lee, Woon Seng Gan
http://arxiv.org/abs/2111.11363v1
• [cs.CL]Data Processing Matters: SRPH-Konvergen AI’s Machine Translation System for WMT’21
Lintang Sutawika, Jan Christian Blaise Cruz
http://arxiv.org/abs/2111.10513v1
• [cs.CL]ExT5: Towards Extreme Multi-Task Scaling for Transfer Learning
Vamsi Aribandi, Yi Tay, Tal Schuster, Jinfeng Rao, Huaixiu Steven Zheng, Sanket Vaibhav Mehta, Honglei Zhuang, Vinh Q. Tran, Dara Bahri, Jianmo Ni, Jai Gupta, Kai Hui, Sebastian Ruder, Donald Metzler
http://arxiv.org/abs/2111.10952v1
• [cs.CL]Exploring Language Patterns in a Medical Licensure Exam Item Bank
Swati Padhee, Kimberly Swygert, Ian Micir
http://arxiv.org/abs/2111.10501v1
• [cs.CL]Finding the Winning Ticket of BERT for Binary Text Classification via Adaptive Layer Truncation before Fine-tuning
Jing Fan, Xin Zhang, Sheng Zhang
http://arxiv.org/abs/2111.10951v1
• [cs.CL]Graph-augmented Learning to Rank for Querying Large-scale Knowledge Graph
Hanning Gao, Lingfei Wu, Po Hu, Zhihua Wei, Fangli Xu, Bo Long
http://arxiv.org/abs/2111.10541v1
• [cs.CL]Hierarchical Knowledge Distillation for Dialogue Sequence Labeling
Shota Orihashi, Yoshihiro Yamazaki, Naoki Makishima, Mana Ihori, Akihiko Takashima, Tomohiro Tanaka, Ryo Masumura
http://arxiv.org/abs/2111.10957v1
• [cs.CL]Hierarchy Decoder is All You Need To Text Classification
SangHun Im, Gibaeg Kim, Heung-Seon Oh, Seongung Jo, Donghwan Kim
http://arxiv.org/abs/2111.11104v1
• [cs.CL]Human-Machine Interaction Speech Corpus from the ROBIN project
Vasile Păiş, Radu Ion, Andrei-Marius Avram, Elena Irimia, Verginica Barbu Mititelu, Maria Mitrofan
http://arxiv.org/abs/2111.11170v1
• [cs.CL]Improving Tagging Consistency and Entity Coverage for Chemical Identification in Full-text Articles
Hyunjae Kim, Mujeen Sung, Wonjin Yoon, Sungjoon Park, Jaewoo Kang
http://arxiv.org/abs/2111.10584v1
• [cs.CL]Is Speech Emotion Recognition Language-Independent? Analysis of English and Bangla Languages using Language-Independent Vocal Features
Fardin Saad, Hasan Mahmud, Md. Alamin Shaheen, Md. Kamrul Hasan, Paresha Farastu
http://arxiv.org/abs/2111.10776v1
• [cs.CL]Jointly Dynamic Topic Model for Recognition of Lead-lag Relationship in Two Text Corpora
Yandi Zhu, Xiaoling Lu, Jingya Hong, Feifei Wang
http://arxiv.org/abs/2111.10846v1
• [cs.CL]Knowledge Based Multilingual Language Model
Linlin Liu, Xin Li, Ruidan He, Lidong Bing, Shafiq Joty, Luo Si
http://arxiv.org/abs/2111.10962v1
• [cs.CL]More Romanian word embeddings from the RETEROM project
Vasile Păiş, Dan Tufiş
http://arxiv.org/abs/2111.10750v1
• [cs.CL]Namesakes: Ambiguously Named Entities from Wikipedia and News
Oleg Vasilyev, Aysu Altun, Nidhi Vyas, Vedant Dharnidharka, Erika Lam, John Bohannon
http://arxiv.org/abs/2111.11372v1
• [cs.CL]RDF-to-Text Generation with Reinforcement Learning Based Graph-augmented Structural Neural Encoders
Hanning Gao, Lingfei Wu, Po Hu, Zhihua Wei, Fangli Xu, Bo Long
http://arxiv.org/abs/2111.10545v1
• [cs.CL]Reinforcement Learning for Few-Shot Text Generation Adaptation
Cheng Pengsen, Dai Jinqiao, Liu Jiayong
http://arxiv.org/abs/2111.11030v1
• [cs.CL]Textbook to triples: Creating knowledge graph in the form of triples from AI TextBook
Aman Kumar, Swathi Dinakaran
http://arxiv.org/abs/2111.10692v1
• [cs.CL]The ComMA Dataset V0.2: Annotating Aggression and Bias in Multilingual Social Media Discourse
Ritesh Kumar, Enakshi Nandi, Laishram Niranjana Devi, Shyam Ratan, Siddharth Singh, Akash Bhagat, Yogesh Dawer
http://arxiv.org/abs/2111.10390v1
• [cs.CL]TraVLR: Now You See It, Now You Don’t! Evaluating Cross-Modal Transfer of Visio-Linguistic Reasoning
Keng Ji Chow, Samson Tan, Min-Yen Kan
http://arxiv.org/abs/2111.10756v1
• [cs.CR]Backdoor Attack through Frequency Domain
Tong Wang, Yuan Yao, Feng Xu, Shengwei An, Ting Wang
http://arxiv.org/abs/2111.10991v1
• [cs.CR]Malicious Selling Strategies in Livestream Shopping: A Cast Study of Alibaba’s Taobao and ByteDance’s Douyin
Qunfang Wu, Yisi Sang, Dakuo Wang, Zhicong Lu
http://arxiv.org/abs/2111.10491v1
• [cs.CR]NTD: Non-Transferability Enabled Backdoor Detection
Yinshan Li, Hua Ma, Zhi Zhang, Yansong Gao, Alsharif Abuadbba, Anmin Fu, Yifeng Zheng, Said F. Al-Sarawi, Derek Abbott
http://arxiv.org/abs/2111.11157v1
• [cs.CR]RacketStore: Measurements of ASO Deception in Google Play via Mobile and App Usage
Nestor Hernandez, Ruben Recabarren, Bogdan Carbunar, Syed Ishtiaque Ahmed
http://arxiv.org/abs/2111.10400v1
• [cs.CV]3D Visual Tracking Framework with Deep Learning for Asteroid Exploration
Dong Zhou, Gunaghui Sun, Xiaopeng Hong
http://arxiv.org/abs/2111.10737v1
• [cs.CV]A Deeper Look into DeepCap
Marc Habermann, Weipeng Xu, Michael Zollhoefer, Gerard Pons-Moll, Christian Theobalt
http://arxiv.org/abs/2111.10563v1
• [cs.CV]A photosensor employing data-driven binning for ultrafast image recognition
Lukas Mennel, Aday J. Molina-Mendoza, Matthias Paur, Dmitry K. Polyushkin, Dohyun Kwak, Miriam Giparakis, Maximilian Beiser, Aaron Maxwell Andrews, Thomas Mueller
http://arxiv.org/abs/2111.10612v1
• [cs.CV]ACR-Pose: Adversarial Canonical Representation Reconstruction Network for Category Level 6D Object Pose Estimation
Zhaoxin Fan, Zhengbo Song, Jian Xu, Zhicheng Wang, Kejian Wu, Hongyan Liu, Jun He
http://arxiv.org/abs/2111.10524v1
• [cs.CV]AGA-GAN: Attribute Guided Attention Generative Adversarial Network with U-Net for Face Hallucination
Abhishek Srivastava, Sukalpa Chanda, Umapada Pal
http://arxiv.org/abs/2111.10591v1
• [cs.CV]Adversarial Examples on Segmentation Models Can be Easy to Transfer
Jindong Gu, Hengshuang Zhao, Volker Tresp, Philip Torr
http://arxiv.org/abs/2111.11368v1
• [cs.CV]Adversarial Mask: Real-World Adversarial Attack Against Face Recognition Models
Alon Zolfi, Shai Avidan, Yuval Elovici, Asaf Shabtai
http://arxiv.org/abs/2111.10759v1
• [cs.CV]Are Vision Transformers Robust to Patch Perturbations?
Jindong Gu, Volker Tresp, Yao Qin
http://arxiv.org/abs/2111.10659v1
• [cs.CV]Auto-Encoding Score Distribution Regression for Action Quality Assessment
Boyu Zhang, Jiayuan Chen, Yinfei Xu, Hui Zhang, Xu Yang, Xin Geng
http://arxiv.org/abs/2111.11029v1
• [cs.CV]Benchmarking Detection Transfer Learning with Vision Transformers
Yanghao Li, Saining Xie, Xinlei Chen, Piotr Dollar, Kaiming He, Ross Girshick
http://arxiv.org/abs/2111.11429v1
• [cs.CV]CATNet: Context AggregaTion Network for Instance Segmentation in Remote Sensing Images
Ye Liu, Huifang Li, Chao Hu, Shuang Luo, Huanfeng Shen, Chang Wen Chen
http://arxiv.org/abs/2111.11057v1
• [cs.CV]CDistNet: Perceiving Multi-Domain Character Distance for Robust Text Recognition
Tianlun Zheng, Zhineng Chen, Shancheng Fang, Hongtao Xie, Yu-Gang Jiang
http://arxiv.org/abs/2111.11011v1
• [cs.CV]CamLiFlow: Bidirectional Camera-LiDAR Fusion for Joint Optical Flow and Scene Flow Estimation
Haisong Liu, Tao Lu, Yihui Xu, Jia Liu, Wenjie Li, Lijun Chen
http://arxiv.org/abs/2111.10502v1
• [cs.CV]Conifer Seedling Detection in UAV-Imagery with RGB-Depth Information
Jason Jooste, Michael Fromm, Matthias Schubert
http://arxiv.org/abs/2111.11388v1
• [cs.CV]Contour-guided Image Completion with Perceptual Grouping
Morteza Rezanejad, Sidharth Gupta, Chandra Gummaluru, Ryan Marten, John Wilder, Michael Gruninger, Dirk B. Walther
http://arxiv.org/abs/2111.11322v1
• [cs.CV]Contrast-reconstruction Representation Learning for Self-supervised Skeleton-based Action Recognition
Peng Wang, Jun Wen, Chenyang Si, Yuntao Qian, Liang Wang
http://arxiv.org/abs/2111.11051v1
• [cs.CV]CpT: Convolutional Point Transformer for 3D Point Cloud Processing
Chaitanya Kaul, Joshua Mitton, Hang Dai, Roderick Murray-Smith
http://arxiv.org/abs/2111.10866v1
• [cs.CV]DIVeR: Real-time and Accurate Neural Radiance Fields with Deterministic Integration for Volume Rendering
Liwen Wu, Jae Yong Lee, Anand Bhattad, Yuxiong Wang, David Forsyth
http://arxiv.org/abs/2111.10427v1
• [cs.CV]Deep Reinforced Attention Regression for Partial Sketch Based Image Retrieval
Dingrong Wang, Hitesh Sapkota, Xumin Liu, Qi Yu
http://arxiv.org/abs/2111.10917v1
• [cs.CV]Deformation Robust Roto-Scale-Translation Equivariant CNNs
Liyao Gao, Guang Lin, Wei Zhu
http://arxiv.org/abs/2111.10978v1
• [cs.CV]Delving into Rectifiers in Style-Based Image Translation
Yipeng Zhang, Bingliang Hu, Hailong Ning, Quang Wang
http://arxiv.org/abs/2111.10546v1
• [cs.CV]Denoised Internal Models: a Brain-Inspired Autoencoder against Adversarial Attacks
Kaiyuan Liu, Xingyu Li, Yi Zhou, Jisong Guan, Yurui Lai, Ge Zhang, Hang Su, Jiachen Wang, Chunxu Guo
http://arxiv.org/abs/2111.10844v1
• [cs.CV]Dense Uncertainty Estimation via an Ensemble-based Conditional Latent Variable Model
Jing Zhang, Yuchao Dai, Mehrtash Harandi, Yiran Zhong, Nick Barnes, Richard Hartley
http://arxiv.org/abs/2111.11055v1
• [cs.CV]Depth-aware Object Segmentation and Grasp Detection for Robotic Picking Tasks
Stefan Ainetter, Christoph Böhm, Rohit Dhakate, Stephan Weiss, Friedrich Fraundorfer
http://arxiv.org/abs/2111.11114v1
• [cs.CV]Direct Voxel Grid Optimization: Super-fast Convergence for Radiance Fields Reconstruction
Cheng Sun, Min Sun, Hwann-Tzong Chen
http://arxiv.org/abs/2111.11215v1
• [cs.CV]Discrete Representations Strengthen Vision Transformer Robustness
Chengzhi Mao, Lu Jiang, Mostafa Dehghani, Carl Vondrick, Rahul Sukthankar, Irfan Essa
http://arxiv.org/abs/2111.10493v1
• [cs.CV]DyTox: Transformers for Continual Learning with DYnamic TOken eXpansion
Arthur Douillard, Alexandre Ramé, Guillaume Couairon, Matthieu Cord
http://arxiv.org/abs/2111.11326v1
• [cs.CV]Efficient Non-Compression Auto-Encoder for Driving Noise-based Road Surface Anomaly Detection
YeongHyeon Park, JongHee Jung
http://arxiv.org/abs/2111.10985v1
• [cs.CV]Evaluating Adversarial Attacks on ImageNet: A Reality Check on Misclassification Classes
Utku Ozbulak, Maura Pintor, Arnout Van Messem, Wesley De Neve
http://arxiv.org/abs/2111.11056v1
• [cs.CV]Exploiting Multi-Scale Fusion, Spatial Attention and Patch Interaction Techniques for Text-Independent Writer Identification
Abhishek Srivastava, Sukalpa Chanda, Umapada Pal
http://arxiv.org/abs/2111.10605v1
• [cs.CV]Exploring Feature Representation Learning for Semi-supervised Medical Image Segmentation
Huimin Wu, Xiaomeng Li, Kwang-Ting Cheng
http://arxiv.org/abs/2111.10989v1
• [cs.CV]Extracting Deformation-Aware Local Features by Learning to Deform
Guilherme Potje, Renato Martins, Felipe Cadar, Erickson R. Nascimento
http://arxiv.org/abs/2111.10617v1
• [cs.CV]FAMINet: Learning Real-time Semi-supervised Video Object Segmentation with Steepest Optimized Optical Flow
Ziyang Liu, Jingmeng Liu, Weihai Chen, Xingming Wu, Zhengguo Li
http://arxiv.org/abs/2111.10531v1
• [cs.CV]FCOSR: A Simple Anchor-free Rotated Detector for Aerial Object Detection
Zhonghua Li, Biao Hou, Zitong Wu, Licheng Jiao, Bo Ren, Chen Yang
http://arxiv.org/abs/2111.10780v1
• [cs.CV]Face Presentation Attack Detection using Taskonomy Feature
Wentian Zhang, Haozhe Liu, Raghavendra Ramachandra, Feng Liu, Linlin Shen, Christoph Busch
http://arxiv.org/abs/2111.11046v1
• [cs.CV]FedCV: A Federated Learning Framework for Diverse Computer Vision Tasks
Chaoyang He, Alay Dilipbhai Shah, Zhenheng Tang, Di Fan1Adarshan Naiynar Sivashunmugam, Keerti Bhogaraju, Mita Shimpi, Li Shen, Xiaowen Chu, Mahdi Soltanolkotabi, Salman Avestimehr
http://arxiv.org/abs/2111.11066v1
• [cs.CV]Florence: A New Foundation Model for Computer Vision
Lu Yuan, Dongdong Chen, Yi-Ling Chen, Noel Codella, Xiyang Dai, Jianfeng Gao, Houdong Hu, Xuedong Huang, Boxin Li, Chunyuan Li, Ce Liu, Mengchen Liu, Zicheng Liu, Yumao Lu, Yu Shi, Lijuan Wang, Jianfeng Wang, Bin Xiao, Zhen Xiao, Jianwei Yang, Michael Zeng, Luowei Zhou, Pengchuan
77d8
Zhang
http://arxiv.org/abs/2111.11432v1
• [cs.CV]FlowVOS: Weakly-Supervised Visual Warping for Detail-Preserving and Temporally Consistent Single-Shot Video Object Segmentation
Julia Gong, F. Christopher Holsinger, Serena Yeung
http://arxiv.org/abs/2111.10621v1
• [cs.CV]GB-CosFace: Rethinking Softmax-based Face Recognition from the Perspective of Open Set Classification
Lizhe Liu, Mingqiang Chen, Xiaohao Chen, Siyu Zhu, Ping Tan
http://arxiv.org/abs/2111.11186v1
• [cs.CV]Geometry-Aware Multi-Task Learning for Binaural Audio Generation from Video
Rishabh Garg, Ruohan Gao, Kristen Grauman
http://arxiv.org/abs/2111.10882v1
• [cs.CV]HoughCL: Finding Better Positive Pairs in Dense Self-supervised Learning
Yunsung Lee, Teakgyu Hong, Han-Cheol Cho, Junbum Cha, Seungryong Kim
http://arxiv.org/abs/2111.10794v1
• [cs.CV]Identity-Preserving Pose-Robust Face Hallucination Through Face Subspace Prior
Ali Abbasi, Mohammad Rahmati
http://arxiv.org/abs/2111.10634v1
• [cs.CV]Imperceptible Transfer Attack and Defense on 3D Point Cloud Classification
Daizong Liu, Wei Hu
http://arxiv.org/abs/2111.10990v1
• [cs.CV]Improving Semantic Image Segmentation via Label Fusion in Semantically Textured Meshes
Florian Fervers, Timo Breuer, Gregor Stachowiak, Sebastian Bullinger, Christoph Bodensteiner, Michael Arens
http://arxiv.org/abs/2111.11103v1
• [cs.CV]L-Verse: Bidirectional Generation Between Image and Text
Taehoon Kim, Gwangmo Song, Sihaeng Lee, Sangyun Kim, Yewon Seo, Soonyoung Lee, Seung Hwan Kim, Honglak Lee, Kyunghoon Bae
http://arxiv.org/abs/2111.11133v1
• [cs.CV]MUM : Mix Image Tiles and UnMix Feature Tiles for Semi-Supervised Object Detection
JongMok Kim, Jooyoung Jang, Seunghyeon Seo, Jisoo Jeong, Jongkeun Na, Nojun Kwak
http://arxiv.org/abs/2111.10958v1
• [cs.CV]MaIL: A Unified Mask-Image-Language Trimodal Network for Referring Image Segmentation
Zizhang Li, Mengmeng Wang, Jianbiao Mei, Yong Liu
http://arxiv.org/abs/2111.10747v1
• [cs.CV]Many Heads but One Brain: an Overview of Fusion Brain Challenge on AI Journey 2021
Daria Bakshandaeva, Denis Dimitrov, Alex Shonenkov, Mark Potanin, Vladimir Arkhipkin, Denis Karachev, Vera Davydova, Anton Voronov, Mikhail Martynov, Natalia Semenova, Mikhail Stepnov, Elena Tutubalina, Andrey Chertok, Aleksandr Petiushko
http://arxiv.org/abs/2111.10974v1
• [cs.CV]Medical Aegis: Robust adversarial protectors for medical images
Qingsong Yao, Zecheng He, S. Kevin Zhou
http://arxiv.org/abs/2111.10969v1
• [cs.CV]Mesa: A Memory-saving Training Framework for Transformers
Zizheng Pan, Peng Chen, Haoyu He, Jing Liu, Jianfei Cai, Bohan Zhuang
http://arxiv.org/abs/2111.11124v1
• [cs.CV]MetaFormer is Actually What You Need for Vision
Weihao Yu, Mi Luo, Pan Zhou, Chenyang Si, Yichen Zhou, Xinchao Wang, Jiashi Feng, Shuicheng Yan
http://arxiv.org/abs/2111.11418v1
• [cs.CV]MiNet: A Convolutional Neural Network for Identifying and Categorising Minerals
Emmanuel Asiedu Brempong, Millicent Agangiba, Daniel Aikins
http://arxiv.org/abs/2111.11260v1
• [cs.CV]MidNet: An Anchor-and-Angle-Free Detector for Oriented Ship Detection in Aerial Images
Feng Jie, Yuping Liang, Junpeng Zhang, Xiangrong Zhang, Quanhe Yao, Licheng Jiao
http://arxiv.org/abs/2111.10961v1
• [cs.CV]Model-Based Single Image Deep Dehazing
Zhengguo Li, Chaobing Zheng, Haiyan Shu, Shiqian Wu
http://arxiv.org/abs/2111.10943v1
• [cs.CV]Monocular Road Planar Parallax Estimation
Haobo Yuan, Teng Chen, Wei Sui, Jiafeng Xie, Lefei Zhang, Yuan Li, Qian Zhang
http://arxiv.org/abs/2111.11089v1
• [cs.CV]Multi-modal Transformers Excel at Class-agnostic Object Detection
Muhammad Maaz, Hanoona Rasheed, Salman Khan, Fahad Shahbaz Khan, Rao Muhammad Anwer, Ming-Hsuan Yang
http://arxiv.org/abs/2111.11430v1
• [cs.CV]Myope Models — Are face presentation attack detection models short-sighted?
Pedro C. Neto, Ana F. Sequeira, Jaime S. Cardoso
http://arxiv.org/abs/2111.11127v1
• [cs.CV]Neural Fields in Visual Computing and Beyond
Yiheng Xie, Towaki Takikawa, Shunsuke Saito, Or Litany, Shiqin Yan, Numair Khan, Federico Tombari, James Tompkin, Vincent Sitzmann, Srinath Sridhar
http://arxiv.org/abs/2111.11426v1
• [cs.CV]Paris-CARLA-3D: A Real and Synthetic Outdoor Point Cloud Dataset for Challenging Tasks in 3D Mapping
Jean-Emmanuel Deschaud, David Duque, Jean Pierre Richa, Santiago Velasco-Forero, Beatriz Marcotegui, and François Goulette
http://arxiv.org/abs/2111.11348v1
• [cs.CV]Point Cloud Color Constancy
Xiaoyan Xing, Yanlin Qian, Sibo Feng, Yuhan Dong, Jiri Matas
http://arxiv.org/abs/2111.11280v1
• [cs.CV]PointMixer: MLP-Mixer for Point Cloud Understanding
Jaesung Choe, Chunghyun Park, Francois Rameau, Jaesik Park, In So Kweon
http://arxiv.org/abs/2111.11187v1
• [cs.CV]Real-time Human Detection Model for Edge Devices
Ali Farouk Khalifa, Hesham N. Elmahdy, Eman Badr
http://arxiv.org/abs/2111.10653v1
• [cs.CV]RedCaps: web-curated image-text data created by the people, for the people
Karan Desai, Gaurav Kaul, Zubin Aysola, Justin Johnson
http://arxiv.org/abs/2111.11431v1
• [cs.CV]Representing Prior Knowledge Using Randomly, Weighted Feature Networks for Visual Relationship Detection
Jinyung Hong, Theodore P. Pavlic
http://arxiv.org/abs/2111.10686v1
• [cs.CV]Robust Visual Odometry Using Position-Aware Flow and Geometric Bundle Adjustment
Yijun Cao, Xianshi Zhang, Fuya Luo, Peng Peng, Yongjie Li
http://arxiv.org/abs/2111.11141v1
• [cs.CV]S3: Supervised Self-supervised Learning under Label Noise
Chen Feng, Georgios Tzimiropoulos, Ioannis Patras
http://arxiv.org/abs/2111.11288v1
• [cs.CV]Self-Supervised Point Cloud Completion via Inpainting
Himangi Mittal, Brian Okorn, Arpit Jangid, David Held
http://arxiv.org/abs/2111.10701v1
• [cs.CV]Self-supervised Semi-supervised Learning for Data Labeling and Quality Evaluation
Haoping Bai, Meng Cao, Ping Huang, Jiulong Shan
http://arxiv.org/abs/2111.10932v1
• [cs.CV]Semi-Supervised Vision Transformers
Zejia Weng, Xitong Yang, Ang Li, Zuxuan Wu, Yu-Gang Jiang
http://arxiv.org/abs/2111.11067v1
• [cs.CV]Simulated LiDAR Repositioning: a novel point cloud data augmentation method
Xavier Morin-Duchesne, Michael S Langer
http://arxiv.org/abs/2111.10650v1
• [cs.CV]Solar Potential Assessment using Multi-Class Buildings Segmentation from Aerial Images
Hasan Nasrallah, Abed Ellatif Samhat, Ghaleb Faour, Yilei Shi, Ali J. Ghandour
http://arxiv.org/abs/2111.11397v1
• [cs.CV]Sparse Tensor-based Multiscale Representation for Point Cloud Geometry Compression
Jianqiang Wang, Dandan Ding, Zhu Li, Xiaoxing Feng, Chuntong Cao, Zhan Ma
http://arxiv.org/abs/2111.10633v1
• [cs.CV]StylePart: Image-based Shape Part Manipulation
I-Chao Shen, Li-Wen Su, Yu-Ting Wu, Bing-Yu Chen
http://arxiv.org/abs/2111.10520v1
• [cs.CV]Teacher-Student Training and Triplet Loss to Reduce the Effect of Drastic Face Occlusion
Mariana-Iuliana Georgescu, Georgian Duta, Radu Tudor Ionescu
http://arxiv.org/abs/2111.10561v1
• [cs.CV]Temporal-MPI: Enabling Multi-Plane Images for Dynamic Scene Modelling via Temporal Basis Learning
Wenpeng Xing, Jie Chen
http://arxiv.org/abs/2111.10533v1
• [cs.CV]Topological Regularization for Dense Prediction
Deqing Fu, Bradley J. Nelson
http://arxiv.org/abs/2111.10984v1
• [cs.CV]Towards Scalable Unpaired Virtual Try-On via Patch-Routed Spatially-Adaptive GAN
Zhenyu Xie, Zaiyu Huang, Fuwei Zhao, Haoye Dong, Michael Kampffmeyer, Xiaodan Liang
http://arxiv.org/abs/2111.10544v1
• [cs.CV]Towards Tokenized Human Dynamics Representation
Kenneth Li, Xiao Sun, Zhirong Wu, Fangyun Wei, Stephen Lin
http://arxiv.org/abs/2111.11433v1
• [cs.CV]Tracking Grow-Finish Pigs Across Large Pens Using Multiple Cameras
Aniket Shirke, Aziz Saifuddin, Achleshwar Luthra, Jiangong Li, Tawni Williams, Xiaodan Hu, Aneesh Kotnana, Okan Kocabalkanli, Narendra Ahuja, Angela Green-Miller, Isabella Condotta, Ryan N. Dilger, Matthew Caesar
http://arxiv.org/abs/2111.10971v1
• [cs.CV]Understanding Pixel-level 2D Image Semantics with 3D Keypoint Knowledge Engine
Yang You, Chengkun Li, Yujing Lou, Zhoujun Cheng, Liangwei Li, Lizhuang Ma, Weiming Wang, Cewu Lu
http://arxiv.org/abs/2111.10817v1
• [cs.CV]Unsupervised Domain Adaptation for Device-free Gesture Recognition
Bin-Bin Zhang, Dongheng Zhang, Yadong Li, Yang Hu, Yan Chen
http://arxiv.org/abs/2111.10602v1
• [cs.CV]Video Content Swapping Using GAN
Tingfung Lau, Sailun Xu, Xinze Wang
http://arxiv.org/abs/2111.10916v1
• [cs.CV]VideoPose: Estimating 6D object pose from videos
Apoorva Beedu, Zhile Ren, Varun Agrawal, Irfan Essa
http://arxiv.org/abs/2111.10677v1
• [cs.CV]Why Do Self-Supervised Models Transfer? Investigating the Impact of Invariance on Downstream Tasks
Linus Ericsson, Henry Gouk, Timothy M. Hospedales
http://arxiv.org/abs/2111.11398v1
• [cs.CV]XnODR and XnIDR: Two Accurate and Fast Fully Connected Layers For Convolutional Neural Networks
Jian Sun, Ali Pourramezan Fard, Mohammad H. Mahoor
http://arxiv.org/abs/2111.10854v1
• [cs.CV]Zero-Shot Certified Defense against Adversarial Patches with Vision Transformers
Yuheng Huang, Yuanchun Li
http://arxiv.org/abs/2111.10481v1
• [cs.CY]Comparing the Language of QAnon-related content on Parler, Gab, and Twitter
Andrea Sipka, Aniko Hannak, Aleksandra Urman
http://arxiv.org/abs/2111.11118v1
• [cs.CY]Consequences of Optimality
Dibakar Das
http://arxiv.org/abs/2111.10861v1
• [cs.CY]On Fairness and Stability in Two-Sided Matchings
Gili Karni, Guy N. Rothblum, Gal Yona
http://arxiv.org/abs/2111.10885v1
• [cs.CY]The Hidden Costs of Requiring Accounts: Quasi-Experimental Evidence From Peer Production
Benjamin Mako Hill, Aaron Shaw
http://arxiv.org/abs/2111.10688v1
• [cs.DC]Doing More by Doing Less: How Structured Partial Backpropagation Improves Deep Learning Clusters
Adarsh Kumar, Kausik Subramanian, Shivaram Venkataraman, Aditya Akella
http://arxiv.org/abs/2111.10672v1
• [cs.DC]HeterPS: Distributed Deep Learning With Reinforcement Learning Based Scheduling in Heterogeneous Environments
Ji Liu, Zhihua Wu, Dianhai Yu, Yanjun Ma, Danlei Feng, Minxu Zhang, Xinxuan Wu, Xuefeng Yao, Dejing Dou
http://arxiv.org/abs/2111.10635v1
• [cs.DC]High-Performance Ptychographic Reconstruction with Federated Facilities
Tekin Bicer, Xiaodong Yu, Daniel J. Ching, Ryan Chard, Mathew J. Cherukara, Bogdan Nicolae, Rajkumar Kettimuthu, Ian T. Foster
http://arxiv.org/abs/2111.11330v1
• [cs.DC]IAD: Indirect Anomalous VMMs Detection in the Cloud-based Environment
Anshul Jindal, Ilya Shakhat, Jorge Cardoso, Michael Gerndt, Vladimir Podolskiy
http://arxiv.org/abs/2111.11052v1
• [cs.DC]New Clocks, Optimal Line Formation and Efficient Replication Population Protocols (Making Population Protocols Alive)
Leszek Gasieniec, Paul Spirakis, Grzegorz Stachowiak
http://arxiv.org/abs/2111.10822v1
• [cs.DC]Parallel Logic Programming: A Sequel
Agostino Dovier, Andrea Formisano, Gopal Gupta, Manuel V. Hermenegildo, Enrico Pontelli, Ricardo Rocha
http://arxiv.org/abs/2111.11218v1
• [cs.DC]Theoretically and Practically Efficient Parallel Nucleus Decomposition
Jessica Shi, Laxman Dhulipala, Julian Shun
http://arxiv.org/abs/2111.10980v1
• [cs.DS]Distributed CONGEST Approximation of Weighted Vertex Covers and Matchings
Salwa Faour, Marc Fuchs, Fabian Kuhn
http://arxiv.org/abs/2111.10577v1
• [cs.DS]Faster Deterministic Approximation Algorithms for Correlation Clustering and Cluster Deletion
Nate Veldt
http://arxiv.org/abs/2111.10699v1
• [cs.HC]COVID Induced Digital Inequality for Senior Citizens
Nicky Qiu
http://arxiv.org/abs/2111.10745v1
• [cs.HC]Distinguishing Engagement Facets: An Essential Component for AI-based Healthcare
Hanan Salam
http://arxiv.org/abs/2111.11138v1
• [cs.IR]Edge-Enhanced Global Disentangled Graph Neural Network for Sequential Recommendation
Yunyi Li, Pengpeng Zhao, Guanfeng Liu, Yanchi Liu, Victor S. Sheng, Jiajie Xu, Xiaofang Zhou
http://arxiv.org/abs/2111.10539v1
• [cs.IR]Effects of context, complexity, and clustering on evaluation for math formula retrieval
Behrooz Mansouri, Douglas W. Oard, Anurag Agarwal, Richard Zanibbi
http://arxiv.org/abs/2111.10504v1
• [cs.IR]Federated Social Recommendation with Graph Neural Network
Zhiwei Liu, Liangwei Yang, Ziwei Fan, Hao Peng, Philip S. Yu
http://arxiv.org/abs/2111.10778v1
• [cs.IR]Learning Explicit User Interest Boundary for Recommendation
Jianhuan Zhuo, Qiannan Zhu, Yinliang Yue, Yuhong Zhao
http://arxiv.org/abs/2111.11026v1
• [cs.IR]Quaternion-Based Graph Convolution Network for Recommendation
Yaxing Fang, Pengpeng Zhao, Guanfeng Liu, Yanchi Liu, Victor S. Sheng, Lei Zhao, Xiaofang Zhou
http://arxiv.org/abs/2111.10536v1
• [cs.IR]The Generalized Cascade Click Model: A Unified Framework for Estimating Click Models
Corné de Ruijt, Sandjai Bhulai
http://arxiv.org/abs/2111.11314v1
• [cs.IR]The Impact of Main Content Extraction on Near-Duplicate Detection
Maik Fröbe, Matthias Hagen, Janek Bevendorff, Michael Völske, Benno Stein, Christopher Schröder, Robby Wagner, Lukas Gienapp, Martin Potthast
http://arxiv.org/abs/2111.10864v1
• [cs.IT]A User Centric Blockage Model for Wireless Networks
F. Baccelli, B. Liu, L. Decreusefond, R. Song
http://arxiv.org/abs/2111.10815v1
• [cs.IT]An Asymptotically Optimal Approximation of the Conditional Mean Channel Estimator based on Gaussian Mixture Models
Michael Koller, Benedikt Fesl, Nurettin Turan, Wolfgang Utschick
http://arxiv.org/abs/2111.11064v1
• [cs.IT]Broadband Digital Over-the-Air Computation for Asynchronous Federated Edge Learning
Xinbo Zhao, Lizhao You, Rui Cao, Yulin Shao, Liqun Fu
http://arxiv.org/abs/2111.10508v1
• [cs.IT]Capacity Optimal Generalized Multi-User MIMO: A Theoretical and Practical Framework
Yuhao Chi, Lei Liu, Guanghui Song, Ying Li, Yong Liang Guan, Chau Yuen
http://arxiv.org/abs/2111.11061v1
• [cs.IT]Data Sensing and Offloading in Edge Computing Networks: TDMA or NOMA?
Zezu Liang, Hanbiao Chen, Yuan Liu, Fangjiong Chen
http://arxiv.org/abs/2111.11112v1
• [cs.IT]Design of an Novel Spectrum Sensing Scheme Based on Long Short-Term Memory and Experimental Validation
Nupur Choudhury, Kandarpa Kumar Sarma, Chinmoy Kalita, Aradhana Misra
http://arxiv.org/abs/2111.10769v1
• [cs.IT]Environment-Aware Beam Selection for IRS-Aided Communication with Channel Knowledge Map
Dingyang Ding, Di Wu, Yong Zeng, Shi Jin, Rui Zhang
http://arxiv.org/abs/2111.11289v1
• [cs.IT]HybNet: A Hybrid Deep Learning — Matched Filter Approach for IoT Signal Detection
Kosta Dakic, Bassel Al Homssi, Margaret Lech, Akram Al-Hourani
http://arxiv.org/abs/2111.10557v1
• [cs.IT]Improving Sum-Rate of Cell-Free Massive MIMO with Expanded Compute-and-Forward
Jiayi Zhang, Jing Zhang, Derrick Wing Kwan Ng, Shi Jin, Bo Ai
http://arxiv.org/abs/2111.10717v1
• [cs.IT]Optimal Grouping Strategy for Reconfigurable Intelligent Surface Assisted Wireless Communications
Neel Kanth Kundu, Zan Li, Junhui Rao, Shanpu Shen, Matthew R. McKay, Ross Murch
http://arxiv.org/abs/2111.10550v1
• [cs.IT]Poisson Noise Channel with Dark Current: Numerical Computation of the Optimal Input Distribution
Luca Barletta, Alex Dytso
http://arxiv.org/abs/2111.11371v1
• [cs.IT]Power Control in Cell-Free Massive MIMO Networks for UAVs URLLC under the Finite Blocklength Regime
Mohamed Elwekeil, Alessio Zappone, Stefano Buzzi
http://arxiv.org/abs/2111.10613v1
• [cs.IT]Reconfigurable Intelligent Surfaces: Performance Assessment Through a System-Level Simulator
Bjorn Sihlbom, Marios I. Poulakis, Marco Di Renzo
http://arxiv.org/abs/2111.10791v1
• [cs.IT]Sliding Network Coding for URLLC
Jinho Choi
http://arxiv.org/abs/2111.10474v1
• [cs.IT]Study of Polar Codes Based on Piecewise Gaussian Approximation
R. M. Oliveira, R. C. de Lamare
http://arxiv.org/abs/2111.10499v1
• [cs.IT]The KICK-OFF of 6G Research Worldwide: An Overview
Wei Jiang, Hans Dieter Schotten
http://arxiv.org/abs/2111.10779v1
• [cs.IT]Turbo Autoencoder with a Trainable Interleaver
Karl Chahine, Yihan Jiang, Pooja Nuti, Hyeji Kim, Joonyoung Cho
http://arxiv.org/abs/2111.11410v1
• [cs.LG]A Closer Look at Loss Weighting in Multi-Task Learning
Baijiong Lin, Feiyang Ye, Yu Zhang
http://arxiv.org/abs/2111.10603v1
• [cs.LG]A Semi-Supervised Adaptive Discriminative Discretization Method Improving Discrimination Power of Regularized Naive Bayes
Shihe Wang, Jianfeng Ren, Ruibin Bai
http://arxiv.org/abs/2111.10983v1
• [cs.LG]A Surrogate Objective Framework for Prediction+Optimization with Soft Constraints
Kai Yan, Jie Yan, Chuan Luo, Liting Chen, Qingwei Lin, Dongmei Zhang
http://arxiv.org/abs/2111.11358v1
• [cs.LG]Accretionary Learning with Deep Neural Networks
Xinyu Wei, Biing-Hwang Fred Juang, Ouya Wang, Shenglong Zhou, Geoffrey Ye Li
http://arxiv.org/abs/2111.10857v1
• [cs.LG]Adaptive Transfer Learning: a simple but effective transfer learning
Jung H Lee, Henry J Kvinge, Scott Howland, Zachary New, John Buckheit, Lauren A. Phillips, Elliott Skomski, Jessica Hibler, Courtney D. Corley, Nathan O. Hodas
http://arxiv.org/abs/2111.10937v1
• [cs.LG]Anomaly-resistant Graph Neural Networks via Neural Architecture Search
Minjae Park
http://arxiv.org/abs/2111.11406v1
• [cs.LG]BarrierNet: A Safety-Guaranteed Layer for Neural Networks
Wei Xiao, Ramin Hasani, Xiao Li, Daniela Rus
http://arxiv.org/abs/2111.11277v1
• [cs.LG]Benchmarking Predictive Risk Models for Emergency Departments with Large Public Electronic Health Records
Feng Xie, Jun Zhou, Jin Wee Lee, Mingrui Tan, Siqi Li, Logasan S/O Rajnthern, Marcel Lucas Chee, Bibhas Chakraborty, An-Kwok Ian Wong, Alon Dagan, Marcus Eng Hock Ong, Fei Gao, Nan Liu
http://arxiv.org/abs/2111.11017v1
• [cs.LG]Bilevel learning of l1-regularizers with closed-form gradients(BLORC)
Avrajit Ghosh, Michael T. Mccann, Saiprasad Ravishankar
http://arxiv.org/abs/2111.10858v1
• [cs.LG]Calibrated Diffusion Tensor Estimation
Davood Karimi, Simon K. Warfield, Ali Gholipour
http://arxiv.org/abs/2111.10847v1
• [cs.LG]Case-based off-policy policy evaluation using prototype learning
Anton Matsson, Fredrik D. Johansson
http://arxiv.org/abs/2111.11113v1
• [cs.LG]Cycle Consistent Probability Divergences Across Different Spaces
Zhengxin Zhang, Youssef Mroueh, Ziv Goldfeld, Bharath K. Sriperumbudur
http://arxiv.org/abs/2111.11328v1
• [cs.LG]DAPPER: Performance Estimation of Domain Adaptation in Mobile Sensing
Taesik Gong, Yewon Kim, Adiba Orzikulova, Yunxin Liu, Sung Ju Hwang, Jinwoo Shin, Sung-Ju Lee
http://arxiv.org/abs/2111.11053v1
• [cs.LG]Data Excellence for AI: Why Should You Care
Lora Aroyo, Matthew Lease, Praveen Paritosh, Mike Schaekermann
http://arxiv.org/abs/2111.10391v1
• [cs.LG]Decentralized Multi-Armed Bandit Can Outperform Classic Upper Confidence Bound
Jingxuan Zhu, Ethan Mulle, Christopher Salomon Smith, Ji Liu
http://arxiv.org/abs/2111.10933v1
• [cs.LG]Deep Probability Estimation
Sheng Liu, Aakash Kaku, Weicheng Zhu, Matan Leibovich, Sreyas Mohan, Boyang Yu, Laure Zanna, Narges Razavian, Carlos Fernandez-Granda
http://arxiv.org/abs/2111.10734v1
• [cs.LG]Density Ratio Estimation via Infinitesimal Classification
Kristy Choi, Chenlin Meng, Yang Song, Stefano Ermon
http://arxiv.org/abs/2111.11010v1
• [cs.LG]Differentiable Projection for Constrained Deep Learning
Dou Huang, Haoran Zhang, Xuan Song, Ryosuke Shibasaki
http://arxiv.org/abs/2111.10785v1
• [cs.LG]Distributed Unsupervised Visual Representation Learning with Fused Features
Yawen Wu, Zhepeng Wang, Dewen Zeng, Meng Li, Yiyu Shi, Jingtong Hu
http://arxiv.org/abs/2111.10763v1
• [cs.LG]Dynamic Graph Representation Learning via Graph Transformer Networks
Weilin Cong, Yanhong Wu, Yuandong Tian, Mengting Gu, Yinglong Xia, Mehrdad Mahdavi, Chun-cheng Jason Chen
http://arxiv.org/abs/2111.10447v1
• [cs.LG]Efficient Softmax Approximation for Deep Neural Networks with Attention Mechanism
Ihor Vasyltsov, Wooseok Chang
http://arxiv.org/abs/2111.10770v1
• [cs.LG]End-to-end Learning for Fair Ranking Systems
James Kotary, Ferdinando Fioretto, Pascal Van Hentenryck, Ziwei Zhu
http://arxiv.org/abs/2111.10723v1
• [cs.LG]Episodic Multi-agent Reinforcement Learning with Curiosity-Driven Exploration
Lulu Zheng, Jiarui Chen, Jianhao Wang, Jiamin He, Yujing Hu, Yingfeng Chen, Changjie Fan, Yang Gao, Chongjie Zhang
http://arxiv.org/abs/2111.11032v1
• [cs.LG]Explainable Biomedical Recommendations via Reinforcement Learning Reasoning on Knowledge Graphs
Gavin Edwards, Sebastian Nilsson, Benedek Rozemberczki, Eliseo Papa
http://arxiv.org/abs/2111.10625v1
• [cs.LG]Feature extraction of machine learning and phase transition point of Ising model
Shotaro Shiba Funai
http://arxiv.org/abs/2111.11166v1
• [cs.LG]Feature selection or extraction decision process for clustering using PCA and FRSD
Jean-Sebastien Dessureault, Daniel Massicotte
http://arxiv.org/abs/2111.10492v1
• [cs.LG]Federated Learning with Domain Generalization
Liling Zhang, Xinyu Lei, Yichun Shi, Hongyu Huang, Chao Chen
http://arxiv.org/abs/2111.10487v1
• [cs.LG]Generalizing Graph Neural Networks on Out-Of-Distribution Graphs
Shaohua Fan, Xiao Wang, Chuan Shi, Peng Cui, Bai Wang
http://arxiv.org/abs/2111.10657v1
• [cs.LG]Generating meta-learning tasks to evolve parametric loss for classification learning
Zhaoyang Hai, Xiabi Liu, Yuchen Ren, Nouman Q. Soomro
http://arxiv.org/abs/2111.10583v1
• [cs.LG]Generation Drawing/Grinding Trajectoy Based on Hierarchical CVAE
Masahiro Aita, Keito Sugawara, Sho Sakaino, Toshiaki Tsuji
http://arxiv.org/abs/2111.10954v1
• [cs.LG]Gradient Temporal Difference with Momentum: Stability and Convergence
Rohan Deb, Shalabh Bhatnagar
http://arxiv.org/abs/2111.11004v1
• [cs.LG]Graph-Based Similarity of Neural Network Representations
Zuohui Chen, Yao Lu, Wen Yang, Qi Xuan, Xiaoniu Yang
http://arxiv.org/abs/2111.11165v1
• [cs.LG]Identifying Population Movements with Non-Negative Matrix Factorization from Wi-Fi User Counts in Smart and Connected Cities
Michael Huffman, Armen Davis, Joshua Park, James Curry
http://arxiv.org/abs/2111.10459v1
• [cs.LG]Improved Model based Deep Learning using Monotone Operator Learning (MOL)
Aniket Pramanik, Mathews Jacob
http://arxiv.org/abs/2111.11380v1
• [cs.LG]LeQua@CLEF2022: Learning to Quantify
Andrea Esuli, Alejandro Moreo, Fabrizio Sebastiani
http://arxiv.org/abs/2111.11249v1
• [cs.LG]Learning Non-Stationary Time-Series with Dynamic Pattern Extractions
Xipei Wang, Haoyu Zhang, Yuanbo Zhang, Meng Wang, Jiarui Song, Tin Lai, Matloob Khushi
http://arxiv.org/abs/2111.10559v1
• [cs.LG]Learning by
1618
Active Forgetting for Neural Networks
Jian Peng, Xian Sun, Min Deng, Chao Tao, Bo Tang, Wenbo Li, Guohua Wu, QingZhu, Yu Liu, Tao Lin, Haifeng Li
http://arxiv.org/abs/2111.10831v1
• [cs.LG]Local Linearity and Double Descent in Catastrophic Overfitting
Varun Sivashankar, Nikil Selvam
http://arxiv.org/abs/2111.10754v1
• [cs.LG]MURAL: An Unsupervised Random Forest-Based Embedding for Electronic Health Record Data
Michal Gerasimiuk, Dennis Shung, Alexander Tong, Adrian Stanley, Michael Schultz, Jeffrey Ngu, Loren Laine, Guy Wolf, Smita Krishnaswamy
http://arxiv.org/abs/2111.10452v1
• [cs.LG]Machine Learning for Mechanical Ventilation Control (Extended Abstract)
Daniel Suo, Cyril Zhang, Paula Gradu, Udaya Ghai, Xinyi Chen, Edgar Minasyan, Naman Agarwal, Karan Singh, Julienne LaChance, Tom Zajdel, Manuel Schottdorf, Daniel Cohen, Elad Hazan
http://arxiv.org/abs/2111.10434v1
• [cs.LG]Modeling Irregular Time Series with Continuous Recurrent Units
Mona Schirmer, Mazin Eltayeb, Stefan Lessmann, Maja Rudolph
http://arxiv.org/abs/2111.11344v1
• [cs.LG]Network representation learning: A macro and micro view
Xueyi Liu, Jie Tang
http://arxiv.org/abs/2111.10772v1
• [cs.LG]Network-wide Multi-step Traffic Volume Prediction using Graph Convolutional Gated Recurrent Neural Network
Lei Lin, Weizi Li, Lei Zhu
http://arxiv.org/abs/2111.11337v1
• [cs.LG]No-Regret Dynamics in the Fenchel Game: A Unified Framework for Algorithmic Convex Optimization
Jun-Kun Wang, Jacob Abernethy, Kfir Y. Levy
http://arxiv.org/abs/2111.11309v1
• [cs.LG]Off-Policy Correction For Multi-Agent Reinforcement Learning
Michał Zawalski, Błażej Osiński, Henryk Michalewski, Piotr Miłoś
http://arxiv.org/abs/2111.11229v1
• [cs.LG]Offline Reinforcement Learning: Fundamental Barriers for Value Function Approximation
Dylan J. Foster, Akshay Krishnamurthy, David Simchi-Levi, Yunzong Xu
http://arxiv.org/abs/2111.10919v1
• [cs.LG]On the Existence of Universal Lottery Tickets
Rebekka Burkholz, Nilanjana Laha, Rajarshi Mukherjee, Alkis Gotovos
http://arxiv.org/abs/2111.11146v1
• [cs.LG]Plan Better Amid Conservatism: Offline Multi-Agent Reinforcement Learning with Actor Rectification
Ling Pan, Longbo Huang, Tengyu Ma, Huazhe Xu
http://arxiv.org/abs/2111.11188v1
• [cs.LG]Plant ‘n’ Seek: Can You Find the Winning Ticket?
Jonas Fischer, Rebekka Burkholz
http://arxiv.org/abs/2111.11153v1
• [cs.LG]Policy Gradient and Actor-Critic Learning in Continuous Time and Space: Theory and Algorithms
Yanwei Jia, Xun Yu Zhou
http://arxiv.org/abs/2111.11232v1
• [cs.LG]Privacy-preserving Federated Adversarial Domain Adaption over Feature Groups for Interpretability
Yan Kang, Yang Liu, Yuezhou Wu, Guoqiang Ma, Qiang Yang
http://arxiv.org/abs/2111.10934v1
• [cs.LG]ProxyFL: Decentralized Federated Learning through Proxy Model Sharing
Shivam Kalra, Junfeng Wen, Jesse C. Cresswell, Maksims Volkovs, Hamid R. Tizhoosh
http://arxiv.org/abs/2111.11343v1
• [cs.LG]SOMPS-Net : Attention based social graph framework for early detection of fake health news
Prasannakumaran D, Harish Srinivasan, Sowmiya Sree S, Sri Gayathri Devi I, Saikrishnan S, Vineeth Vijayaraghavan
http://arxiv.org/abs/2111.11272v1
• [cs.LG]SPINE: Soft Piecewise Interpretable Neural Equations
Jasdeep Singh Grover, Harsh Minesh Domadia, Raj Anant Tapase, Grishma Sharma
http://arxiv.org/abs/2111.10622v1
• [cs.LG]Safe Multi-Task Learning
Pengxin Guo, Feiyang Ye, Yu Zhang
http://arxiv.org/abs/2111.10601v1
• [cs.LG]Stochastic Variance Reduced Ensemble Adversarial Attack for Boosting the Adversarial Transferability
Yifeng Xiong, Jiadong Lin, Min Zhang, John E. Hopcroft, Kun He
http://arxiv.org/abs/2111.10752v1
• [cs.LG]Teaching Humans When To Defer to a Classifier via Examplars
Hussein Mozannar, Arvind Satyanarayan, David Sontag
http://arxiv.org/abs/2111.11297v1
• [cs.LG]The Joy of Neural Painting
Ernesto Diaz-Aviles, Claudia Orellana-Rodriguez, Beth Jochim
http://arxiv.org/abs/2111.10283v2
• [cs.LG]Towards Graph Self-Supervised Learning with Contrastive Adjusted Zooming
Yizhen Zheng, Ming Jin, Shirui Pan, Yuan-Fang Li, Hao Peng, Ming Li, Zhao Li
http://arxiv.org/abs/2111.10698v1
• [cs.LG]Towards Return Parity in Markov Decision Processes
Jianfeng Chi, Jian Shen, Xinyi Dai, Weinan Zhang, Yuan Tian, Han Zhao
http://arxiv.org/abs/2111.10476v1
• [cs.LG]Towards Understanding the Unreasonable Effectiveness of Learning AC-OPF Solutions
My H. Dinh, Ferdinando Fioretto, Mostafa Mohammadian, Kyri Baker
http://arxiv.org/abs/2111.11168v1
• [cs.LG]Unsupervised Time Series Outlier Detection with Diversity-Driven Convolutional Ensembles — Extended Version
David Campos, Tung Kieu, Chenjuan Guo, Feiteng Huang, Kai Zheng, Bin Yang, Christian S. Jensen
http://arxiv.org/abs/2111.11108v1
• [cs.LG]Vulcan: Solving the Steiner Tree Problem with Graph Neural Networks and Deep Reinforcement Learning
Haizhou Du, Zong Yan, Qiao Xiang, Qinqing Zhan
http://arxiv.org/abs/2111.10810v1
• [cs.LG]WalkingTime: Dynamic Graph Embedding Using Temporal-Topological Flows
David Bayani
http://arxiv.org/abs/2111.10928v1
• [cs.LO]Vector Space Semantics for Lambek Calculus with Soft Subexponentials
Lachlan McPheat, Hadi Wazni, Mehrnoosh Sadrzadeh
http://arxiv.org/abs/2111.11331v1
• [cs.MA]Renewable energy integration and microgrid energy trading using multi-agent deep reinforcement learning
Daniel J. B. Harrold, Jun Cao, Zhong Fan
http://arxiv.org/abs/2111.10898v1
• [cs.NE]MCS-HMS: A Multi-Cluster Selection Strategy for the Human Mental Search Algorithm
Ehsan Bojnordi, Seyed Jalaleddin Mousavirad, Gerald Schaefer, Iakov Korovin
http://arxiv.org/abs/2111.10676v1
• [cs.NI]Time-Critical Tasks Implementation in MEC based Multi-Robot Cooperation Systems
Rui Yin, Yineng Shen, Huawei Zhu, Xianfu Chen, Celimuge Wu
http://arxiv.org/abs/2111.11038v1
• [cs.RO]A Gaussian Process-Based Ground Segmentation for Sloped Terrains
Pouria Mehrabi, Hamid D. Taghirad
http://arxiv.org/abs/2111.10638v1
• [cs.RO]A General Framework for Lifelong Localization and Mapping in Changing Environment
Min Zhao, Xin Guo, Le Song, Baoxing Qin, Xuesong Shi, Gim Hee Lee, Guanghui Sun
http://arxiv.org/abs/2111.10946v1
• [cs.RO]Analysis of Exploration vs. Exploitation in Adaptive Information Sampling
Aiman Munir, Ramviyas Parasuraman
http://arxiv.org/abs/2111.11384v1
• [cs.RO]Balancing Efficiency and Comfort in Robot-Assisted Bite Transfer
Suneel Belkhale, Ethan K. Gordon, Yuxiao Chen, Siddhartha Srinivasa, Tapomayukh Bhattacharjee, Dorsa Sadigh
http://arxiv.org/abs/2111.11401v1
• [cs.RO]Bridging the gap between learning and heuristic based pushing policies
Marios Kiatos, Iason Sarantopoulos, Sotiris Malassiotis, Zoe Doulgeri
http://arxiv.org/abs/2111.11156v1
• [cs.RO]Frailty Care Robot for Elderly and Its Application for Physical and Psychological Support
Yoichi Yamazaki, Masayuki Ishii, Takahiro Ito, Takuya Hashimoto
http://arxiv.org/abs/2111.10646v1
• [cs.RO]Hybrid Imitative Planning with Geometric and Predictive Costs in Off-road Environments
Nitish Dashora, Daniel Shin, Dhruv Shah, Henry Leopold, David Fan, Ali Agha-Mohammadi, Nicholas Rhinehart, Sergey Levine
http://arxiv.org/abs/2111.10948v1
• [cs.RO]Imitation and Supervised Learning of Compliance for Robotic Assembly
Devesh K. Jha, Diego Romeres, William Yerazunis, Daniel Nikovski
http://arxiv.org/abs/2111.10488v1
• [cs.RO]Nanorobot queue: Cooperative treatment of cancer based on team member communication and image processing
Xinyu Zhou
http://arxiv.org/abs/2111.11236v1
• [cs.RO]Online Coverage Planning for an Autonomous Weed Mowing Robot with Curvature Constraints
Parikshit Maini, Burak M. Gonultas, Volkan Isler
http://arxiv.org/abs/2111.10462v1
• [cs.RO]Operations for Autonomous Spacecraft
Rebecca Castano, Tiago Vaquero, Federico Rossi, Vandi Verma, Ellen Van Wyk, Dan Allard, Bennett Huffmann, Erin M. Murphy, Nihal Dhamani, Robert A. Hewitt, Scott Davidoff, Rashied Amini, Anthony Barrett, Julie Castillo-Rogez, Steve A. Chien, Mathieu Choukroun, Alain Dadaian, Raymond Francis, Benjamin Gorr, Mark Hofstadter, Mitch Ingham, Cristina Sorice, Iain Tierney
http://arxiv.org/abs/2111.10970v1
• [cs.RO]Practical Distributed Control for Cooperative Multicopters in Structured Free Flight Concepts
Rao Fu, Quan Quan, Mengxin Li, Kai-Yuan Cai
http://arxiv.org/abs/2111.11049v1
• [cs.RO]Real-World Semantic Grasping Detection
Mingshuai Dong, Shimin Wei, Jianqin Yin, Xiuli Yu
http://arxiv.org/abs/2111.10522v1
• [cs.RO]RoboKit-MV: an Educational Initiative
Azer Babaev, Ilya Osokin, Ilya Ryakin, Egor Davydenko, Vladimir Litvinenko, Ivan Khokhlov, Aleksandr Matsun, Vitaly Suvorov
http://arxiv.org/abs/2111.11241v1
• [cs.RO]Talk-to-Resolve: Combining scene understanding and spatial dialogue to resolve granular task ambiguity for a collocated robot
Pradip Pramanick, Chayan Sarkar, Snehasis Banerjee, Brojeshwar Bhowmick
http://arxiv.org/abs/2111.11099v1
• [cs.RO]UMBRELLA: Uncertainty-Aware Model-Based Offline Reinforcement Learning Leveraging Planning
Christopher Diehl, Timo Sievernich, Martin Krüger, Frank Hoffmann, Torsten Bertran
http://arxiv.org/abs/2111.11097v1
• [cs.RO]Unified Modeling of Unconventional Modular and Reconfigurable Manipulation System
Anubhav Dogra, Sakshay Mahna, Srikant Sekhar Padhee, Ekta Singla
http://arxiv.org/abs/2111.11143v1
• [cs.SD]Comparing the Accuracy of Deep Neural Networks (DNN) and Convolutional Neural Network (CNN) in Music Genre Recognition (MGR): Experiments on Kurdish Music
Aza Zuhair, Hossein Hassani
http://arxiv.org/abs/2111.11063v1
• [cs.SD]Deep Spoken Keyword Spotting: An Overview
Iván López-Espejo, Zheng-Hua Tan, John Hansen, Jesper Jensen
http://arxiv.org/abs/2111.10592v1
• [cs.SD]Health Monitoring of Industrial machines using Scene-Aware Threshold Selection
Arshdeep Singh, Raju Arvind, Padmanabhan Rajan
http://arxiv.org/abs/2111.10897v1
• [cs.SD]Multi-Channel Multi-Speaker ASR Using 3D Spatial Feature
Yiwen Shao, Shi-Xiong Zhang, Dong Yu
http://arxiv.org/abs/2111.11023v1
• [cs.SE]A Software Tool for Evaluating Unmanned Autonomous Systems
Abdollah Homaifar, Ali Karimoddini, Mike Heiges, Mubbashar A. Khan, Berat A. Erol, Shabnam Nazmi
http://arxiv.org/abs/2111.10871v1
• [cs.SI]A Domain-Independent Holistic Approach to Deception Detection
Sadat Shahriar, Arjun Mukherjee, Omprakash Gnawali
http://arxiv.org/abs/2111.10711v1
• [cs.SI]Are Proactive Interventions for Reddit Communities Feasible?
Hussam Habib, Maaz Bin Musa, Fareed Zaffar, Rishab Nithyanand
http://arxiv.org/abs/2111.11019v1
• [cs.SI]Community-Detection via Hashtag-Graphs for Semi-Supervised NMF Topic Models
Mattias Luber, Anton Thielmann, Christoph Weisser, Benjamin Säfken
http://arxiv.org/abs/2111.10401v1
• [cs.SI]Degree-Corrected Distribution-Free Model for Community Detection in weighted networks
Huan Qing
http://arxiv.org/abs/2111.10553v1
• [cs.SI]Detecting Influenza Epidemics on Twitter
Katerina Katsani-Geronymaki, Polyvios Pratikakis
http://arxiv.org/abs/2111.10675v1
• [cs.SI]Misrepresenting Scientific Consensus on COVID-19: The Amplification of Dissenting Scientists on Twitter
Alexandros Efstratiou, Tristan Caulfield
http://arxiv.org/abs/2111.10594v1
• [cs.SI]Sequential locality of graphs and its hypothesis testing
Tatsuro Kawamoto, Teruyoshi Kobayashi
http://arxiv.org/abs/2111.11267v1
• [cs.SI]Towards Improving Embedding Based Models of Social Network Alignment via Pseudo Anchors
Zihan Yan, Li Liu, Xin Li, William K. Cheung, Youmin Zhang, Qun Liu, Guoyin Wang
http://arxiv.org/abs/2111.11335v1
• [cs.SI]Vaccine Search Patterns Provide Insights into Vaccination Intent
Sean Malahy, Mimi Sun, Keith Spangler, Jessica Leibler, Kevin Lane, Shailesh Bavadekar, Chaitanya Kamath, Akim Kumok, Yuantong Sun, Jai Gupta, Tague Griffith, Adam Boulanger, Mark Young, Charlotte Stanton, Yael Mayer, Karen Smith, Tomer Shekel, Katherine Chou, Greg Corrado, Jonathan Levy, Adam Szpiro, Evgeniy Gabrilovich, Gregory A Wellenius
http://arxiv.org/abs/2111.11424v1
• [cs.SI]WEM: A Node Importance Algorithm in Weighted Networks
Linjie Chen, Na Zhao, Jie Li, Zhen Long, Ming Jing, Jian Wang
http://arxiv.org/abs/2111.10840v1
• [cs.SI]Winds of Change: Impact of COVID-19 on Vaccine-related Opinions of Twitter users
Soham Poddar, Mainack Mondal, Janardan Misra, Niloy Ganguly, Saptarshi Ghosh
http://arxiv.org/abs/2111.10667v1
• [econ.EM]Why Synthetic Control estimators are biased and what to do about it: Introducing Relaxed and Penalized Synthetic Controls
Oscar Engelbrektson
http://arxiv.org/abs/2111.10784v1
• [eess.AS]ARMAS: Active Reconstruction of Missing Audio Segments
Sachin, Pokharel, Muhammad, Ali, Zohra, Cheddad, Abbas, Cheddad
http://arxiv.org/abs/2111.10891v1
• [eess.IV]4D iterative reconstruction of brain fMRI in the moving fetus
Athena Taymourtash, Hamza Kebiri, Sébastien Tourbier, Ernst Schwartz, Karl-Heinz Nenning, Roxane Licandro, Daniel Sobotka, Hélène Lajous, Priscille de Dumast, Meritxell Bach Cuadra, Georg Langs
http://arxiv.org/abs/2111.11394v1
• [eess.IV]A Review on The Division of Magnetic Resonant Prostate Images with Deep Learning
Elcin Huseyn, Emin Mammadov, Mohammad Hoseini
http://arxiv.org/abs/2111.10683v1
• [eess.IV]Automated cross-sectional view selection in CT angiography of aortic dissections with uncertainty awareness and retrospective clinical annotations
Antonio Pepe, Jan Egger, Marina Codari, Martin J. Willemink, Christina Gsaxner, Jianning Li, Peter M. Roth, Gabriel Mistelbauer, Dieter Schmalstieg, Dominik Fleischmann
http://arxiv.org/abs/2111.11269v1
• [eess.IV]COVID-19 Detection through Deep Feature Extraction
Jash Dalvi, Aziz Bohra
http://arxiv.org/abs/2111.10762v1
• [eess.IV]Constrained Deep One-Class Feature Learning For Classifying Imbalanced Medical Images
Long Gao, Chang Liu, Dooman Arefan, Ashok Panigrahy, Shandong Wu
http://arxiv.org/abs/2111.10610v1
• [eess.IV]Deep Image Prior using Stein’s Unbiased Risk Estimator: SURE-DIP
Maneesh John, Hemant Kumar Aggarwal, Qing Zou, Mathews Jacob
http://arxiv.org/abs/2111.10892v1
• [eess.IV]Deep Learning Based Automated COVID-19 Classification from Computed Tomography Images
Kenan Morani, Devrim Unay
http://arxiv.org/abs/2111.11191v1
• [eess.IV]Domain Generalization for Mammography Detection via Multi-style and Multi-view Contrastive Learning
Zheren Li, Zhiming Cui, Sheng Wang, Yuji Qi, Xi Ouyang, Qitian Chen, Yuezhi Yang, Zhong Xue, Dinggang Shen, Jie-Zhi Cheng
http://arxiv.org/abs/2111.10827v1
• [eess.IV]DuDoTrans: Dual-Domain Transformer Provides More Attention for Sinogram Restoration in Sparse-View CT Reconstruction
Ce Wang, Kun Shang, Haimiao Zhang, Qian Li, Yuan Hui, S. Kevin Zhou
http://arxiv.org/abs/2111.10790v1
• [eess.IV]Dynamic imaging using motion-compensated smoothness regularization on manifolds (MoCo-SToRM)
Qing Zou, Luis A. Torres, Sean B. Fain, Mathews Jacob
http://arxiv.org/abs/2111.10887v1
• [eess.IV]FAZSeg: A New User-Friendly Software for Quantification of the Foveal Avascular Zone
V. K. Viekash, Janarthanam Jothi Balaji, Vasudevan Lakshminarayanan
http://arxiv.org/abs/2111.11419v1
• [eess.IV]FreqNet: A Frequency-domain Image Super-Resolution Network with Dicrete Cosine Transform
Runyuan Cai, Yue Ding, Hongtao Lu
http://arxiv.org/abs/2111.10800v1
• [eess.IV]GMSRF-Net: An improved generalizability with global multi-scale residual fusion network for polyp segmentation
Abhishek Srivastava, Sukalpa Chanda, Debesh Jha, Umapada Pal, Sharib Ali
http://arxiv.org/abs/2111.10614v1
• [eess.IV]Joint alignment and reconstruction of multislice dynamic MRI using variational manifold learning
Qing Zou, Abdul Haseeb Ahmed, Prashant Nagpal, Sarv Priya, Rolf F Schulte, Mathews Jacob
http://arxiv.org/abs/2111.10889v1
• [eess.IV]Local-Selective Feature Distillation for Single Image Super-Resolution
SeongUk Park, Nojun Kwak
http://arxiv.org/abs/2111.10988v1
• [eess.IV]Medical Knowledge-Guided Deep Learning for Imbalanced Medical Image Classification
Long Gao, Chang Liu, Dooman Arefan, Ashok Panigrahy, Margarita L. Zuley, Shandong Wu
http://arxiv.org/abs/2111.10620v1
• [eess.IV]One-shot Weakly-Supervised Segmentation in Medical Images
Wenhui Lei, Qi Su, Ran Gu, Na Wang, Xinglong Liu, Guotai Wang, Xiaofan Zhang, Shaoting Zhang
http://arxiv.org/abs/2111.10773v1
• [eess.IV]PAANet: Progressive Alternating Attention for Automatic Medical Image Segmentation
Abhishek Srivastava, Sukalpa Chanda, Debesh Jha, Michael A. Riegler, Pål Halvorsen, Dag Johansen, Umapada Pal
http://arxiv.org/abs/2111.10618v1
• [eess.IV]Structure-Preserving Graph Kernel for Brain Network Classification
Zhaomin Kong, Aditya Kendre, Jun Yu, Hao Peng, Carl Yang, Lichao Sun, Alex Leow, Lifang He
http://arxiv.org/abs/2111.10803v1
• [eess.IV]TransMorph: Transformer for unsupervised medical image registration
Junyu Chen, Yong Du, Yufan He, William P. Segars, Ye Li, Eirc C. Frey
http://arxiv.org/abs/2111.10480v1
• [eess.SP]CDMA for Underwater Acoustic Communication
Lokesh Bommisetty, Samskruthi Gaddam, Nomula Prakash Reddy, Shaik Basharath, Bharath Are
http://arxiv.org/abs/2111.10581v1
• [eess.SP]Satellite Based Computing Networks with Federated Learning
Hao Chen, Ming Xiao, Zhibo Pang
http://arxiv.org/abs/2111.10586v1
• [eess.SP]Semi-supervised Impedance Inversion by Bayesian Neural Network Based on 2-d CNN Pre-training
Muyang Ge, Wenlong Wang, Wangxiangming Zheng
http://arxiv.org/abs/2111.10596v1
• [eess.SP]Vehicular Visible Light Communications Noise Analysis and Autoencoder Based Denoising
Bugra Turan, O. Nuri Koc, Emrah Kar, Sinem Coleri
http://arxiv.org/abs/2111.10588v1
• [eess.SY]Automated Controller Calibration by Kalman Filtering
Marcel Menner, Karl Berntorp, Stefano Di Cairano
http://arxiv.org/abs/2111.10832v1
• [eess.SY]Location-aware Beamforming for MIMO-enabled UAV Communications: An Unknown Input Observer Approach
Alireza Mohammadi, Mehdi Rahmati, Hafiz Malik
http://arxiv.org/abs/2111.10665v1
• [hep-lat]Machine Learning of Thermodynamic Observables in the Presence of Mode Collapse
Kim A. Nicoli, Christopher Anders, Lena Funcke, Lena Funcke, Karl Jansen, Pan Kessel, Shinichi Nakajima, Paolo Stornati
http://arxiv.org/abs/2111.11303v1
• [math-ph]Modular structure of the Weyl algebra
Roberto Longo
http://arxiv.org/abs/2111.11266v1
• [math.CO]The -queens completion problem
Stefan Glock, David Munhá Correia, Benny Sudakov
http://arxiv.org/abs/2111.11402v1
• [math.NT]On the functional graph of %3Dc(X%5E%7Bq%2B1%7D%2BaX%5E2)#card=math&code=f%28X%29%3Dc%28X%5E%7Bq%2B1%7D%2BaX%5E2%29&id=dCanF) over quadratic extensions of finite fields
F. E. Brochero Martínez, H. R. Teixeira
http://arxiv.org/abs/2111.11132v1
• [math.OC]Modeling Design and Control Problems Involving Neural Network Surrogates
Dominic Yang, Prasanna Balaprakash, Sven Leyffer
http://arxiv.org/abs/2111.10489v1
• [math.PR]Conditioning continuous-time Markov processes by guiding
Marc Corstanje, Frank van der Meulen, Moritz Schauer
http://arxiv.org/abs/2111.11377v1
• [math.ST]A Pseudo-Inverse for Nonlinear Operators
Eyal Gofer, Guy Gilboa
http://arxiv.org/abs/2111.10755v1
• [math.ST]Convergence rates for Metropolis-Hastings algorithms in the Wasserstein distance
Austin Brown, Galin L. Jones
http://arxiv.org/abs/2111.10406v1
• [math.ST]On asymptotic behavior of the prediction error for a class of deterministic stationary sequences
Nikolay M. Babayan, Mamikon S. Ginovyan
http://arxiv.org/abs/2111.11283v1
• [physics.comp-ph]Implicit Quantile Neural Networks for Jet Simulation and Correction
Braden Kronheim, Michelle P. Kuchera, Harrison B. Prosper, Raghuram Ramanujan
http://arxiv.org/abs/2111.11415v1
• [physics.med-ph]Evaluation of automated airway morphological quantification for assessing fibrosing lung disease
Ashkan Pakzad, Wing Keung Cheung, Kin Quan, Nesrin Mogulkoc, Coline H. M. Van Moorsel, Brian J. Bartholmai, Hendrik W. Van Es, Alper Ezircan, Frouke Van Beek, Marcel Veltkamp, Ronald Karwoski, Tobias Peikert, Ryan D. Clay, Finbar Foley, Cassandra Braun, Recep Savas, Carole Sudre, Tom Doel, Daniel C. Alexander, Peter Wijeratne, David Hawkes, Yipeng Hu, John R Hurst, Joseph Jacob
http://arxiv.org/abs/2111.10443v1
• [q-bio.BM]Simple End-to-end Deep Learning Model for CDR-H3 Loop Structure Prediction
Natalia Zenkova, Ekaterina Sedykh, Tatiana Shugaeva, Vladislav Strashko, Timofei Ermak, Aleksei Shpilman
http://arxiv.org/abs/2111.10656v1
• [q-bio.NC]Kalman filters as the steady-state solution of gradient descent on variational free energy
Manuel Baltieri, Takuya Isomura
http://arxiv.org/abs/2111.10530v1
• [q-bio.PE]Drewnowski’s index to measure lifespan variation: Revisiting the Gini coefficient of the life table
José Manuel Aburto, Ugofilippo Basellini, Annette Baudisch, Francisco Villavicencio
http://arxiv.org/abs/2111.11256v1
• [q-bio.QM]Image-Like Graph Representations for Improved Molecular Property Prediction
Toni Sagayaraj, Carsten Eickhoff
http://arxiv.org/abs/2111.10695v1
• [q-bio.QM]Localized Mutual Information Monitoring of Pairwise Associations in Animal Movement
Andrew B. Whetten
http://arxiv.org/abs/2111.10628v1
• [q-bio.QM]SNPs Filtered by Allele Frequency Improve the Prediction of Hypertension Subtypes
Yiming Li, Sanjiv J. Shah, Donna Arnett, Ryan Irvin, Yuan Luo
http://arxiv.org/abs/2111.10471v1
• [quant-ph]Error Probability Mitigation in Quantum Reading using Classical Codes
Francisco Revson Fernandes Pereira, Stefano Mancini
http://arxiv.org/abs/2111.11135v1
• [quant-ph]Memory erasure with finite-sized spin reservoir
Toshio Croucher, Joan A. Vaccaro
http://arxiv.org/abs/2111.10930v1
• [stat.AP]Adaptive State-Space Multitaper Spectral Estimation
Andrew H. Song, Seong-Eun Kim, Emery N. Brown
http://arxiv.org/abs/2111.10490v1
• [stat.AP]Statistical Analysis Plan for Health Outcomes in Phase 1 of the SEARCH-IPT Study
Laura B. Balzer, Joshua Nugent, Joshua Nugent, Gabriel Chamie
http://arxiv.org/abs/2111.10467v1
• [stat.ME]A linear adjustment based approach to posterior drift in transfer learning
Subha Maity, Diptava Dutta, Jonathan Terhorst, Yuekai Sun, Moulinath Banerjee
http://arxiv.org/abs/2111.10841v1
• [stat.ME]Confidences in Hypotheses
Graham N. Bornholt
http://arxiv.org/abs/2111.10715v1
• [stat.ME]Decorrelated Variable Importance
Isabella Verdinelli, Larry Wasserman
http://arxiv.org/abs/2111.10853v1
• [stat.ME]Gradient-based estimation of linear Hawkes processes with general kernels
Álvaro Cartea, Samuel N. Cohen, Saad Labyad
http://arxiv.org/abs/2111.10637v1
• [stat.ME]Monotonicity assumptions in estimating the treatment effect for a principal stratum
Yongming Qu, Ilya Lipkovich, Stephen J. Ruberg
http://arxiv.org/abs/2111.10938v1
• [stat.ME]Nonparametric estimator of the tail dependence coefficient: balancing bias and variance
Matthieu Garcin, Maxime L. D. Nicolas
http://arxiv.org/abs/2111.11128v1
• [stat.ME]Seasonal Count Time Series
Jiajie Kong, Robert Lund
http://arxiv.org/abs/2111.10757v1
• [stat.ME]Semismooth Newton Augmented Lagrangian Algorithm for Adaptive Lasso Penalized Least Squares in Semiparametric Regression
Meixia Yang, Yunhai Xiao, Peili Li, Hanbing Zhu
http://arxiv.org/abs/2111.10766v1
• [stat.ME]Spatial Correlation in Weather Forecast Accuracy: A Functional Time Series Approach
Phillip A. Jang, David S. Matteson
http://arxiv.org/abs/2111.11381v1
• [stat.ME]The R2D2 Prior for Generalized Linear Mixed Models
Eric Yanchenko, Howard D. Bondell, Brian J. Reich
http://arxiv.org/abs/2111.10718v1
• [stat.ME]Using prior information to boost power in correlation structure support recovery
Ziyang Ding, David Dunson
http://arxiv.org/abs/2111.11278v1
• [stat.ML]A Data-Driven Line Search Rule for Support Recovery in High-dimensional Data Analysis
Peili Li, Yuling Jiao, Xiliang Lu, Lican Kang
http://arxiv.org/abs/2111.10806v1
• [stat.ML]Bayesian Learning via Neural Schrödinger-Föllmer Flows
Francisco Vargas, Andrius Ovsianas, David Fernandes, Mark Girolami, Neil Lawrence, Nikolas Nüsken
http://arxiv.org/abs/2111.10510v1
• [stat.ML]Gaussian Process Inference Using Mini-batch Stochastic Gradient Descent: Convergence Guarantees and Empirical Benefits
Hao Chen, Lili Zheng, Raed Al Kontar, Garvesh Raskutti
http://arxiv.org/abs/2111.10461v1
• [stat.ML]How do kernel-based sensor fusion algorithms behave under high dimensional noise?
Xiucai Ding, Hau-Tieng Wu
http://arxiv.org/abs/2111.10940v1
• [stat.ML]Learning PSD-valued functions using kernel sums-of-squares
Boris Muzellec, Francis Bach, Alessandro Rudi
http://arxiv.org/abs/2111.11306v1
• [stat.ML]Low-Discrepancy Points via Energetic Variational Inference
Yindong Chen, Yiwei Wang, Lulu Kang, Chun Liu
http://arxiv.org/abs/2111.10722v1
• [stat.ML]PAC-Learning Uniform Ergodic Communicative Networks
Yihan He
http://arxiv.org/abs/2111.10708v1
• [stat.ML]Private and polynomial time algorithms for learning Gaussians and beyond
Hassan Ashtiani, Christopher Liaw
http://arxiv.org/abs/2111.11320v1
• [stat.ML]Transfer Learning with Gaussian Processes for Bayesian Optimization
Petru Tighineanu, Kathrin Skubch, Paul Baireuther, Attila Reiss, Felix Berkenkamp, Julia Vinogradska
http://arxiv.org/abs/2111.11223v1
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