astro-ph.CO - 宇宙学和天体物理学
    cs.LG - 自动学习
    cond-mat.mes-hall - 尺度和物理纳米
    cond-mat.mtrl-sci - 材料科学
    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.DC - 分布式、并行与集群计算
    cs.DL - 数字图书馆
    cs.DS - 数据结构与算法
    cs.ET - 新兴技术
    cs.HC - 人机接口
    cs.IR - 信息检索
    cs.IT - 信息论
    cs.LG - 自动学习
    cs.MA - 多代理系统
    cs.NE - 神经与进化计算
    cs.NI - 网络和互联网体系结构
    cs.RO - 机器人学
    cs.SD - 声音处理
    cs.SE - 软件工程
    cs.SI - 社交网络与信息网络
    econ.EM - 计量经济学
    eess.AS - 语音处理
    eess.IV - 图像与视频处理
    eess.SP - 信号处理
    eess.SY - 系统和控制
    math.NA - 数值分析
    math.OC - 优化与控制
    math.ST - 统计理论
    nucl-th - 核理论
    physics.ao-ph - 大气和海洋物理
    physics.geo-ph - 地球物理学
    physics.soc-ph - 物理学与社会
    q-bio.NC - 神经元与认知
    q-bio.PE - 人口与发展
    q-bio.QM - 定量方法
    q-fin.CP -计算金融学
    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

    • [astro-ph.CO]Amended Gibbs samplers for Cosmic Microwave Background power spectrum estimation
    • [c
    761f
    s.LG]DNN gradient lossless compression: Can GenNorm be the answer?
    • [cond-mat.mes-hall]Energy Efficient Learning with Low Resolution Stochastic Domain Wall Synapse Based Deep Neural Networks
    • [cond-mat.mtrl-sci]Physics in the Machine: Integrating Physical Knowledge in Autonomous Phase-Mapping
    • [cs.AI]A Survey on AI Assurance
    • [cs.AI]AI in Games: Techniques, Challenges and Opportunities
    • [cs.AI]AnimeCeleb: Large-Scale Animation CelebFaces Dataset via Controllable 3D Synthetic Models
    • [cs.AI]Automated scholarly paper review: Possibility and challenges
    • [cs.AI]Can Graph Neural Networks Learn to Solve MaxSAT Problem?
    • [cs.AI]Code Representation Learning with Prüfer Sequences
    • [cs.AI]Confucius, Cyberpunk and Mr. Science: Comparing AI ethics between China and the EU
    • [cs.AI]Independent SE(3)-Equivariant Models for End-to-End Rigid Protein Docking
    • [cs.AI]Learning to Execute: Efficient Learning of Universal Plan-Conditioned Policies in Robotics
    • [cs.AI]Measuring Outcomes in Healthcare Economics using Artificial Intelligence: with Application to Resource Management
    • [cs.AI]The Possibilistic Horn Non-Clausal Knowledge Bases
    • [cs.AI]Zero-Shot Learning in Named-Entity Recognition with External Knowledge
    • [cs.CL]”Will You Find These Shortcuts?” A Protocol for Evaluating the Faithfulness of Input Salience Methods for Text Classification
    • [cs.CL]A feast for trolls — Engagement analysis of counternarratives against online toxicity
    • [cs.CL]Adding more data does not always help: A study in medical conversation summarization with PEGASUS
    • [cs.CL]Annotators with Attitudes: How Annotator Beliefs And Identities Bias Toxic Language Detection
    • [cs.CL]Automatic Analysis of Linguistic Features in Journal Articles of Different Academic Impacts with Feature Engineering Techniques
    • [cs.CL]CDM: Combining Extraction and Generation for Definition Modeling
    • [cs.CL]Calculating Question Similarity is Enough:A New Method for KBQA Tasks
    • [cs.CL]CoLLIE: Continual Learning of Language Grounding from Language-Image Embeddings
    • [cs.CL]Contrastive Clustering: Toward Unsupervised Bias Reduction for Emotion and Sentiment Classification
    • [cs.CL]DEEP: DEnoising Entity Pre-training for Neural Machine Translation
    • [cs.CL]Data Augmentation for Speech Recognition in Maltese: A Low-Resource Perspective
    • [cs.CL]Evaluating Metrics for Bias in Word Embeddings
    • [cs.CL]Explainable Semantic Space by Grounding Language to Vision with Cross-Modal Contrastive Learning
    • [cs.CL]Exploiting all samples in low-resource sentence classification: early stopping and initialization parameters
    • [cs.CL]Extracting and filtering paraphrases by bridging natural language inference and paraphrasing
    • [cs.CL]IIITT@Dravidian-CodeMix-FIRE2021: Transliterate or translate? Sentiment analysis of code-mixed text in Dravidian languages
    • [cs.CL]Improving Prosody for Unseen Texts in Speech Synthesis by Utilizing Linguistic Information and Noisy Data
    • [cs.CL]Keyphrase Extraction Using Neighborhood Knowledge Based on Word Embeddings
    • [cs.CL]MS-LaTTE: A Dataset of Where and When To-do Tasks are Completed
    • [cs.CL]Measuring Uncertainty in Translation Quality Evaluation (TQE)
    • [cs.CL]Offense Detection in Dravidian Languages using Code-Mixing Index based Focal Loss
    • [cs.CL]Prediction of Listener Perception of Argumentative Speech in a Crowdsourced Data Using (Psycho-)Linguistic and Fluency Features
    • [cs.CL]Question-Based Salient Span Selection for More Controllable Text Summarization
    • [cs.CL]Rationale production to support clinical decision-making
    • [cs.CL]Robust Deep Reinforcement Learning for Extractive Legal Summarization
    • [cs.CL]Say What? Collaborative Pop Lyric Generation Using Multitask Transfer Learning
    • [cs.CL]Sentiment Analysis of Fashion Related Posts in Social Media
    • [cs.CL]SocialBERT — Transformers for Online SocialNetwork Language Modelling
    • [cs.CL]Speeding Up Entmax
    • [cs.CL]Testing the Generalization of Neural Language Models for COVID-19 Misinformation Detection
    • [cs.CL]Textless Speech Emotion Conversion using Decomposed and Discrete Representations
    • [cs.CL]The Choice of Knowledge Base in Automated Claim Checking
    • [cs.CL]Time Waits for No One! Analysis and Challenges of Temporal Misalignment
    • [cs.CL]Towards Interpretability of Speech Pause in Dementia Detection using Adversarial Learning
    • [cs.CL]Towards annotation of text worlds in a literary work
    • [cs.CL]Triggerless Backdoor Attack for NLP Tasks with Clean Labels
    • [cs.CR]Evaluating the effectiveness of Phishing Reports on Twitter
    • [cs.CR]PAMMELA: Policy Administration Methodology using Machine Learning
    • [cs.CR]Property Inference Attacks Against GANs
    • [cs.CR]Resilience of IOTA Consensus
    • [cs.CR]Tracking in apps’ privacy policies
    • [cs.CV]A Central Difference Graph Convolutional Operator for Skeleton-Based Action Recognition
    • [cs.CV]A Comparative Study of Fingerprint Image-Quality Estimation Methods
    • [cs.CV]A Probabilistic Hard Attention Model For Sequentially Observed Scenes
    • [cs.CV]Action2video: Generating Videos of Human 3D Actions
    • [cs.CV]Attention Mechanisms in Computer Vision: A Survey
    • [cs.CV]Auxiliary Loss Adaption for Image Inpainting
    • [cs.CV]Background-Aware 3D Point Cloud Segmentationwith Dynamic Point Feature Aggregation
    • [cs.CV]Category-orthogonal object features guide information processing in recurrent neural networks trained for object categorization
    • [cs.CV]Co-segmentation Inspired Attention Module for Video-based Computer Vision Tasks
    • [cs.CV]CoReS: Compatible Representations via Stationarity
    • [cs.CV]Color Mapping Functions For HDR Panorama Imaging: Weighted Histogram Averaging
    • [cs.CV]Contrastive Feature Loss for Image Prediction
    • [cs.CV]DFC: Deep Feature Consistency for Robust Point Cloud Registration
    • [cs.CV]D^2Conv3D: Dynamic Dilated Convolutions for Object Segmentation in Videos
    • [cs.CV]D^2LV: A Data-Driven and Local-Verification Approach for Image Copy Detection
    • [cs.CV]Deep Neural Networks for Automatic Grain-matrix Segmentation in Plane and Cross-polarized Sandstone Photomicrographs
    • [cs.CV]Deep Semantic Manipulation of Facial Videos
    • [cs.CV]Developing a Novel Approach for Periapical Dental Radiographs Segmentation
    • [cs.CV]Facial Landmark Points Detection Using Knowledge Distillation-Based Neural Networks
    • [cs.CV]Factorial Convolution Neural Networks
    • [cs.CV]FakeTransformer: Exposing Face Forgery From Spatial-Temporal Representation Modeled By Facial Pixel Variations
    • [cs.CV]FastFlow: Unsupervised Anomaly Detection and Localization via 2D Normalizing Flows
    • [cs.CV]Finding Optimal Tangent Points for Reducing Distortions of Hard-label Attacks
    • [cs.CV]Fingerprint Presentation Attack Detection by Channel-wise Feature Denoising
    • [cs.CV]Full-attention based Neural Architecture Search using Context Auto-regression
    • [cs.CV]Generating Band-Limited Adversarial Surfaces Using Neural Networks
    • [cs.CV]High-Quality Real Time Facial Capture Based on Single Camera
    • [cs.CV]Hyperspectral Mixed Noise Removal via Subspace Representation and Weighted Low-rank Tensor Regularization
    • [cs.CV]Image Classification with Consistent Supporting Evidence
    • [cs.CV]Impact of Benign Modifications on Discriminative Performance of Deepfake Detectors
    • [cs.CV]Interactive Medical Image Segmentation with Self-Adaptive Confidence Calibration
    • [cs.CV]Large-Scale Hyperspectral Image Clustering Using Contrastive Learning
    • [cs.CV]Learnable Locality-Sensitive Hashing for Video Anomaly Detection
    • [cs.CV]Learning Object-Centric Representations of Multi-Object Scenes from Multiple Views
    • [cs.CV]Learning Online for Unified Segmentation and Tracking Models
    • [cs.CV]Leveraging Unsupervised Image Registration for Discovery of Landmark Shape Descriptor
    • [cs.CV]LiT: Zero-Shot Transfer with Locked-image Text Tuning
    • [cs.CV]Local Multi-Head Channel Self-Attention for Facial Expression Recognition
    • [cs.CV]Mask-guided Spectral-wise Transformer for Efficient Hyperspectral Image Reconstruction
    • [cs.CV]Multi-Task Classification of Sewer Pipe Defects and Properties using a Cross-Task Graph Neural Network Decoder
    • [cs.CV]Multi-View Motion Synthesis via Applying Rotated Dual-Pixel Blur Kernels
    • [cs.CV]Multimodal Generalized Zero Shot Learning for Gleason Grading using Self-Supervised Learning
    • [cs.CV]New Performance Measures for Object Tracking under Complex Environments
    • [cs.CV]Object Propagation via Inter-Frame Attentions for Temporally Stable Video Instance Segmentation
    • [cs.CV]Occluded Video Instance Segmentation: Dataset and ICCV 2021 Challenge
    • [cs.CV]On the validation of pansharpening methods
    • [cs.CV]PhysXNet: A Customizable Approach for LearningCloth Dynamics on Dressed People
    • [cs.CV]QK Iteration: A Self-Supervised Representation Learning Algorithm for Image Similarity
    • [cs.CV]Real-time Emotion and Gender Classification using Ensemble CNN
    • [cs.CV]Recursive Self-Improvement for Camera Image and Signal Processing Pipeline
    • [cs.CV]Robust and Accurate Object Detection via Self-Knowledge Distillation
    • [cs.CV]Searching for TrioNet: Combining Convolution with Local and Global Self-Attention
    • [cs.CV]Sign Language Translation with Hierarchical Spatio-TemporalGraph Neural Network
    • [cs.CV]Sparse Steerable Convolutions: An Efficient Learning of SE(3)-Equivariant Features for Estimation and Tracking of Object Poses in 3D Space
    • [cs.CV]Stacked BNAS: Rethinking Broad Convolutional Neural Network for Neural Architecture Search
    • [cs.CV]TANDEM: Tracking and Dense Mapping in Real-time using Deep Multi-view Stereo
    • [cs.CV]Through-Foliage Tracking with Airborne Optical Sectioning
    • [cs.CV]Towards Optimal Strategies for Training Self-Driving Perception Models in Simulation
    • [cs.CV]Towards Privacy-Preserving Affect Recognition: A Two-Level Deep Learning Architecture
    • [cs.CV]Tracking People with 3D Representations
    • [cs.CV]UET-Headpose: A sensor-based top-view head pose dataset
    • [cs.CV]Unsupervised Action Localization Crop in Video Retargeting for 3D ConvNets
    • [cs.CV]Unsupervised Lightweight Single Object Tracking with UHP-SOT++
    • [cs.CV]Visual Intelligence through Human Interaction
    • [cs.CV]Visual Understanding of Complex Table Structures from Document Images
    • [cs.CV]Volumetric Parameterization of the Placenta to a Flattened Template
    • [cs.CV]Weakly-Supervised Dense Action Anticipation
    • [cs.CV]Where to Look: A Unified Attention Model for Visual Recognition with Reinforcement Learning
    • [cs.CV]iBOT: Image BERT Pre-Training with Online Tokenizer
    • [cs.CY]Introducing Variational Autoencoders to High School Students
    • [cs.CY]Randomized Classifiers vs Human Decision-Makers: Trustworthy AI May Have to Act Randomly and Society Seems to Accept This
    • [cs.DC]Composing Energy Services in a Crowdsourced IoT Environment
    • [cs.DC]Practical Scheduling for Real-World Serverless Computing
    • [cs.DC]Training Data Reduction for Performance Models of Data Analytics Jobs in the Cloud
    • [cs.DL]Center-Periphery Structure in Communities: Extracellular Vesicles
    • [cs.DS]Best of Both Worlds: Practical and Theoretically Optimal Submodular Maximization in Parallel
    • [cs.ET]TMS-Crossbars with Tactile Sensing
    • [cs.HC]Committing to Interdependence: Implications from Game Theory for Human-Robot Trust
    • [cs.IR]A Study on the Efficient Product Search Service for the Damaged Image Information
    • [cs.IR]FAIR Geovisualizations: Definitions, Challenges, and the Road Ahead
    • [cs.IR]Linear, or Non-Linear, That is the Question!
    • [cs.IR]Session-aware Item-combination Recommendation with Transformer Network
    • [cs.IR]Study of keyword extraction techniques for Electric Double Layer Capacitor domain using text similarity indexes: An experimental analysis
    • [cs.IR]TEA: A Sequential Recommendation Framework via Temporally Evolving Aggregations
    • [cs.IT]5 Gbps Optical Wir
    79a
    eless Communication using Commercial SPAD Array Receivers
    • [cs.IT]A discrete complement of Lyapunov’s inequality and its information theoretic consequences
    • [cs.IT]Achievable Rates for Short-Reach Fiber-Optic Channels with Direct Detection
    • [cs.IT]Active information requirements for fixation on the Wright-Fisher model of population genetics
    • [cs.IT]Cell-Free Massive MIMO with Low-Complexity Hybrid Beamforming
    • [cs.IT]Discriminative Mutual Information Estimation for the Design of Channel Capacity Driven Autoencoders
    • [cs.IT]Faster-than-Nyquist Signaling for MIMO Communications
    • [cs.IT]High-Rate Convolutional Codes with CRC-Aided List Decoding for Short Blocklengths
    • [cs.IT]Improved Decoding of Expander Codes
    • [cs.IT]Low-Subpacketization Multi-Antenna Coded Caching for Dynamic Networks
    • [cs.IT]Neural Capacity Estimators: How Reliable Are They?
    • [cs.IT]Neural Normalized Min-Sum Message-Passing vs. Viterbi Decoding for the CCSDS Line Product Code
    • [cs.IT]On Optimizing Rate Splitting in Laser-based Optical Wireless Networks
    • [cs.IT]Outage Analysis over Correlated Fisher-Snedecor F Fading Multi-User Channels
    • [cs.IT]Read-and-Run Constrained Coding for Modern Flash Devices
    • [cs.IT]Single- versus Multi-Carrier Terahertz-Band Communications: A Comparative Study
    • [cs.LG]今日学术视野(2021.11.17) - 图1-Laplacian Based Graph Neural Networks
    • [cs.LG]A Comparative Study on Basic Elements of Deep Learning Models for Spatial-Temporal Traffic Forecasting
    • [cs.LG]A Comparative Study on Basic Elements of Deep Learning Models for Spatial-Temporal Traffic Forecasting
    • [cs.LG]A Machine Learning Approach for Recruitment Prediction in Clinical Trial Design
    • [cs.LG]A Robust Unsupervised Ensemble of Feature-Based Explanations using Restricted Boltzmann Machines
    • [cs.LG]A teacher-student framework for online correctional learning
    • [cs.LG]Adaptive Cost-Sensitive Learning in Neural Networks for Misclassification Cost Problems
    • [cs.LG]Adversarial Skill Chaining for Long-Horizon Robot Manipulation via Terminal State Regularization
    • [cs.LG]Attentive Federated Learning for Concept Drift in Distributed 5G Edge Networks
    • [cs.LG]AutoGMap: Learning to Map Large-scale Sparse Graphs on Memristive Crossbars
    • [cs.LG]Bolstering Stochastic Gradient Descent with Model Building
    • [cs.LG]Conditional Linear Regression for Heterogeneous Covariances
    • [cs.LG]Continual Learning via Local Module Composition
    • [cs.LG]Counterfactual Temporal Point Processes
    • [cs.LG]Curriculum Learning for Vision-and-Language Navigation
    • [cs.LG]Deep Learning based Urban Vehicle Trajectory Analytics
    • [cs.LG]Delayed Feedback in Episodic Reinforcement Learning
    • [cs.LG]Efficient Binary Embedding of Categorical Data using BinSketch
    • [cs.LG]Eluding Secure Aggregation in Federated Learning via Model Inconsistency
    • [cs.LG]Evaluating Contrastive Learning on Wearable Timeseries for Downstream Clinical Outcomes
    • [cs.LG]Explicit Explore, Exploit, or Escape (今日学术视野(2021.11.17) - 图2): near-optimal safety-constrained reinforcement learning in polynomial time
    • [cs.LG]Fast Axiomatic Attribution for Neural Networks
    • [cs.LG]Faster First-Order Algorithms for Monotone Strongly DR-Submodular Maximization
    • [cs.LG]Federated Learning for Internet of Things: Applications, Challenges, and Opportunities
    • [cs.LG]Federated Learning with Hyperparameter-based Clustering for Electrical Load Forecasting
    • [cs.LG]Fully Linear Graph Convolutional Networks for Semi-Supervised Learning and Clustering
    • [cs.LG]Generate plane quad mesh with neural networks and tree search
    • [cs.LG]GraSSNet: Graph Soft Sensing Neural Networks
    • [cs.LG]HAD-Net: Hybrid Attention-based Diffusion Network for Glucose Level Forecast
    • [cs.LG]HydraGAN A Multi-head, Multi-objective Approach to Synthetic Data Generation
    • [cs.LG]Identification and Adaptive Control of Markov Jump Systems: Sample Complexity and Regret Bounds
    • [cs.LG]Improving Compound Activity Classification via Deep Transfer and Representation Learning
    • [cs.LG]Interpretable ECG classification via a query-based latent space traversal (qLST)
    • [cs.LG]Invariant Risk Minimisation for Cross-Organism Inference: Substituting Mouse Data for Human Data in Human Risk Factor Discovery
    • [cs.LG]Iterative Training: Finding Binary Weight Deep Neural Networks with Layer Binarization
    • [cs.LG]Joint Synthesis of Safety Certificate and Safe Control Policy using Constrained Reinforcement Learning
    • [cs.LG]Learning Data Teaching Strategies Via Knowledge Tracing
    • [cs.LG]Learning Neural Models for Continuous-Time Sequences
    • [cs.LG]Learning Representations for Pixel-based Control: What Matters and Why?
    • [cs.LG]Learning to Evolve on Dynamic Graphs
    • [cs.LG]LoMEF: A Framework to Produce Local Explanations for Global Model Time Series Forecasts
    • [cs.LG]MC-CIM: Compute-in-Memory with Monte-Carlo Dropouts for Bayesian Edge Intelligence
    • [cs.LG]Mean-based Best Arm Identification in Stochastic Bandits under Reward Contamination
    • [cs.LG]Measuring the Contribution of Multiple Model Representations in Detecting Adversarial Instances
    • [cs.LG]Memotion Analysis through the Lens of Joint Embedding
    • [cs.LG]Mitigating Divergence of Latent Factors via Dual Ascent for Low Latency Event Prediction Models
    • [cs.LG]NeuralPDE: Modelling Dynamical Systems from Data
    • [cs.LG]Nyström Regularization for Time Series Forecasting
    • [cs.LG]On the Tradeoff between Energy, Precision, and Accuracy in Federated Quantized Neural Networks
    • [cs.LG]Power Allocation for Wireless Federated Learning using Graph Neural Networks
    • [cs.LG]Predictive coding, precision and natural gradients
    • [cs.LG]Progress in Self-Certified Neural Networks
    • [cs.LG]Public Policymaking for International Agricultural Trade using Association Rules and Ensemble Machine Learning
    • [cs.LG]ReLU Network Approximation in Terms of Intrinsic Parameters
    • [cs.LG]Safe Online Convex Optimization with Unknown Linear Safety Constraints
    • [cs.LG]Scalable Diverse Model Selection for Accessible Transfer Learning
    • [cs.LG]Skillful Twelve Hour Precipitation Forecasts using Large Context Neural Networks
    • [cs.LG]Soft Sensing Model Visualization: Fine-tuning Neural Network from What Model Learned
    • [cs.LG]Soft-Sensing ConFormer: A Curriculum Learning-based Convolutional Transformer
    • [cs.LG]Spectral Transform Forms Scalable Transformer
    • [cs.LG]Target Layer Regularization for Continual Learning Using Cramer-Wold Generator
    • [cs.LG]Towards One Shot Search Space Poisoning in Neural Architecture Search
    • [cs.LG]Versatile Inverse Reinforcement Learning via Cumulative Rewards
    • [cs.MA]Posetal Games: Efficiency, Existence, and Refinement of Equilibria in Games with Prioritized Metrics
    • [cs.MA]What Should We Optimize in Participatory Budgeting? An Experimental Study
    • [cs.NE]A Data Quarantine Model to Secure Data in Edge Computing
    • [cs.NE]Evolving Deep Neural Networks for Collaborative Filtering
    • [cs.NE]Quadratic speedup of global search using a biased crossover of two good solutions
    • [cs.NE]Spiking CapsNet: A Spiking Neural Network With A Biologically Plausible Routing Rule Between Capsules
    • [cs.NI]Edge-Native Intelligence for 6G Communications Driven by Federated Learning: A Survey of Trends and Challenges
    • [cs.NI]Networking of Internet of UAVs: Challenges and Intelligent Approaches
    • [cs.NI]Optimizing Unlicensed Coexistence Network Performance Through Data Learning
    • [cs.NI]RLOps: Development Life-cycle of Reinforcement Learning Aided Open RAN
    • [cs.RO]A Finite-Sampling, Operational Domain Specific, and Provably Unbiased Connected and Automated Vehicle Safety Metric
    • [cs.RO]A distributed, plug-n-play algorithm for multi-robot applications with a priori non-computable objective functions
    • [cs.RO]ARC Nav — A 3D Navigation Stack for Autonomous Robots
    • [cs.RO]Agile Satellite Planning for Multi-Payload Observations for Earth Science
    • [cs.RO]An Adaptive Framework for Reliable Trajectory Following in Changing-Contact Robot Manipulation Tasks
    • [cs.RO]Autonomous UAV for Building Monitoring, Detection and Localisation of Faults
    • [cs.RO]Finite State Markov Modeling of C-V2X Erasure Links For Performance and Stability Analysis of Platooning Applications
    • [cs.RO]Gaussian Process based Stochastic Model Predictive Control for Cooperative Adaptive Cruise Control
    • [cs.RO]Learning Multi-Stage Tasks with One Demonstration via Self-Replay
    • [cs.RO]Learning a Shared Model for Motorized Prosthetic Joints to Predict Ankle-Joint Motion
    • [cs.RO]Lifelong Vehicle Trajectory Prediction Framework Based on Generative Replay
    • [cs.RO]Methods for Combining and Representing Non-Contextual Autonomy Scores for Unmanned Aerial Systems
    • [cs.RO]Nonprehensile Riemannian Motion Predictive Control
    • [cs.RO]Observation Contribution Theory for Pose Estimation Accuracy
    • [cs.RO]Obstacle Avoidance for UAS in Continuous Action Space Using Deep Reinforcement Learning
    • [cs.RO]PatchGraph: In-hand tactile tracking with learned surface normals
    • [cs.RO]Provably Robust & Efficient Multi-Robot Trajectory Generation Using Alternating Direction Method of Multiplier
    • [cs.RO]Semantically Grounded Object Matching for Robust Robotic Scene Rearrangement
    • [cs.SD]Metric-based multimodal meta-learning for human movement identification via footstep recognition
    • [cs.SD]Speech Emotion Recognition Using Deep Sparse Auto-Encoder Extreme Learning Machine with a New Weighting Scheme and Spectro-Temporal Features Along with Classical Feature Selection and A New Quantum-Inspired Dimension Reduction Method
    • [cs.SE]Choose Your Programming Copilot: A Comparison of the Program Synthesis Performance of GitHub Copilot and Genetic Programming
    • [cs.SE]FACOS: Finding API Relevant Contents on Stack Overflow with Semantic and Syntactic Analysis
    • [cs.SI]Adaptive Similarity Function with Structural Features of Network Embedding for Missing Link Prediction
    • [cs.SI]Analyzing the Behavior and Financial Status of Soccer Fans from a Mobile Phone Network Perspective: Euro 2016, a Case Study
    • [cs.SI]Distribution-Free Models for Community Detection
    • [cs.SI]Social Media for Emergency Rescue: An Analysis of Rescue Requests on Twitter during Hurricane Harvey
    • [econ.EM]An Outcome Test of Discrimination for Ranked Lists
    • [econ.EM]Asymmetric Conjugate Priors for Large Bayesian VARs
    • [econ.EM]Large Order-Invariant Bayesian VARs with Stochastic Volatility
    • [eess.AS]Meta-Voice: Fast few-shot style transfer for expressive voice cloning using meta learning
    • [eess.IV]A strong baseline for image and video quality assessment
    • [eess.IV]Deep Joint Demosaicing and High Dynamic Range Imaging within a Single Shot
    • [eess.IV]Estimation of Acetabular Version from Anteroposterior Pelvic Radiograph Employing Deep Learning
    • [eess.IV]Fracture Detection in Wrist X-ray Images Using Deep Learning-Based Object Detection Models
    • [eess.IV]Improving the Otsu Thresholding Method of Global Binarization Using Ring Theory for Ultrasonographies of Congestive Heart Failure
    • [eess.IV]Moment Transform-Based Compressive Sensing in Image Processing
    • [eess.IV]Pseudo-domains in imaging data improve prediction of future disease status in multi-center studies
    • [eess.IV]SDnDTI: Self-supervised deep learning-based denoising for diffusion tensor MRI
    • [eess.IV]T-AutoML: Automated Machine Learning for Lesion Segmentation using Transformers in 3D Medical Imaging
    • [eess.SP]Machine Learning for CSI Recreation Based on Prior Knowledge
    • [eess.SP]On Sparse High-Dimensional Graphical Model Learning For Dependent Time Series
    • [eess.SP]The Pseudo Projection Operator: Applications of Deep Learning to Projection Based Filtering in Non-Trivial Frequency Regimes
    • [eess.SP]Transfer Learning Capabilities of Untrained Neural Networks for MIMO CSI Recreation
    • [eess.SP]Vision-Position Multi-Modal Beam Prediction Using Real Millimeter Wave Datasets
    • [eess.SY]Deep Reinforcement Learning with Shallow Controllers: An Experimental Application to PID Tuning
    • [eess.SY]Dynamic Placement of Rapidly Deployable Mobile Sensor Robots Using Machine Learning and Expected Value of Information
    • [eess.SY]Reachability analysis of neural networks using mixed monotonicity
    • [eess.SY]Relative Distributed Formation and Obstacle Avoidance with Multi-agent Reinforcement Learning
    • [eess.SY]Reliably-stabilizing piecewise-affine neural network controllers
    • [eess.SY]Short-Term Power Prediction for Renewable Energy Using Hybrid Graph Convolutional Network and Long Short-Term Memory Approach
    • [math.NA]Deep Learning in High Dimension: Neural Network Approximation of Analytic Functions in 今日学术视野(2021.11.17) - 图3#card=math&code=L%5E2%28%5Cmathbb%7BR%7D%5Ed%2C%CE%B3_d%29&id=hx9sk)
    • [math.OC]Adversarially Robust Learning for Security-Constrained Optimal Power Flow
    • [math.OC]Orthounimodal Distributionally Robust Optimization: Representation, Computation and Multivariate Extreme Event Applications
    • [math.OC]Simultaneously Achieving Sublinear Regret and Constraint Violations for Online Convex Optimization with Time-varying Constraints
    • [math.ST]Axiomatic characterization of the 今日学术视野(2021.11.17) - 图4 dissimilarity measure
    • [math.ST]Joint FCLT for the Sample Quantile and Measures of Dispersion for Functionals of Mixing Processes
    • [math.ST]Minimax Optimal Regression over Sobolev Spaces via Laplacian Eigenmaps on Neighborhood Graphs
    • [math.ST]Minimax Supervised Clustering in the Anisotropic Gaussian Mixture Model: A new take on Robust Interpolation
    • [nucl-th]Three-body renormalization group limit cycles based on unsupervised feature learning
    • [physics.ao-ph]Distribution and Determinants of Correlation between PM2.5 and O3 in China Mainland: Dynamitic simil-Hu Lines
    • [physics.geo-ph]Deep-Learning Inversion Method for the Interpretation of Noisy Logging-While-Drilling Resistivity Measurements
    • [physics.soc-ph]The ubiquitous efficiency of going further: how street networks affect travel speed
    • [q-bio.NC]Neural Population Geometry Reveals the Role of Stochasticity in Robust Perception
    • [q-bio.NC]Neural optimal feedback control with local learning rules
    • [q-bio.PE]When can we reconstruct the ancestral state? A unified theory
    • [q-bio.QM]Quasifibrations of Graphs to Find Symmetries in Biological Networks
    • [q-fin.CP]Deep Hedging: Learning to Remove the Drift under Trading Frictions with Minimal Equivalent Near-Martingale Measures
    • [quant-ph]Finite Rate QLDPC-GKP Coding Scheme that Surpasses the CSS Hamming Bound
    • [quant-ph]Stochastic Gradient Line Bayesian Optimization: Reducing Measurement Shots in Optimizing Parameterized Quantum Circuits
    • [stat.AP]A Statistical Approach to Surface Metrology for 3D-Printed Stainless Steel
    • [stat.AP]Bayesian modelling and computation utilising cycles in multiple network data
    • [stat.AP]Correlation Improves Group Testing
    • [stat.AP]Detecting Differences Between Correlation-Matrix Populations due to Single-variable Perturbations, with Application to Resting State fMRI
    • [stat.AP]Overview and Introduction to Development of Non-Ergodic Earthquake Ground-Motion Models
    • [stat.AP]Where to Drill Next? A Dual-Weighted Approach to Adaptive Optimal Design of Groundwater Surveys
    • [stat.CO]Simulating Diffusion Bridges with Score Matching
    • [stat.ME]A Hybrid EM Algorithm for Linear Two-Way Interactions with Missing Data
    • [stat.ME]A Two-Dimensional Intrinsic Gaussian Markov Random Field for Blood Pressure Data
    • [stat.ME]A new class of spatial covariance functions generated by higher-order kernels
    • [stat.ME]Absolute and Relative Bias in Eight Common Observational Study Designs: Evidence from a Meta-analysis
    • [stat.ME]Accounting for data heterogeneity in integrative analysis and prediction methods: An application to Chronic Obstructive Pulmonary Disease
    • [stat.ME]An Approach of Bayesian Variable Selection for Ultrahigh Dimensional Multivariate Regression
    • [stat.ME]Analysis of stepped wedge cluster randomized trials in the presence of a time-varying treatment effect
    • [stat.ME]Bayesian Inference and Partial Identification in Multi-Treatment Causal Inference with Unobserved Confounding
    • [stat.ME]Bayesian Knockoff Generators for Robust Inference Under Complex Data Structure
    • [stat.ME]Evaluating Treatment Prioritization Rules via Rank-Weighted Average Treatment Effects
    • [stat.ME]Interquantile Shrinkage in Spatial Quantile Autoregressive Regression models
    • [stat.ME]Predicting Times to Event Based on Vine Copula Models
    • [stat.ME]Scalable Intervention Target Estimation in Linear Models
    • [stat.ME]U-Statistics for Left Truncated and Right Censored Data
    • [stat.ME]drpop: Efficient and Doubly Robust Population Size Estimation in R
    • [stat.ML]Contrastive Representation Learning with Trainable Augmentation Channel
    • [stat.ML]Decoding Causality by Fictitious VAR Modeling
    • [stat.ML]Distribution Compression in Near-Linear Time
    • [stat.ML]Fast Doubly-Adaptive MCMC to Estimate the Gibbs Partition Function with Weak Mixing Time Bounds
    • [stat.ML]Improving usual Naive Bayes classifier performances with Neural Naive Bayes based models
    • [stat.ML]On equivalence between linear-chain conditional random fields and hidden Markov chains
    • [stat.ML]On the Statistical Benefits of Curriculum Learning
    • [stat.ML]Scrutinizing XAI using linear ground-truth data with suppressor variables
    • [stat.ML]Spectral learning of multivariate extremes
    • [stat.ML]The Three Stages of Learning Dynamics in High-Dimensional Kernel Methods

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

    • [astro-ph.CO]Amended Gibbs samplers for Cosmic Microwave Background power spectrum estimation
    Gabriel Ducrocq, Nicolas Chopin, Josquin Errard, Radek Stompor
    http://arxiv.org/abs/2111.07664v1

    • [c
    761f
    s.LG]DNN gradient lossless compression: Can GenNorm be the answer?
    Zhong-Jing Chen, Eduin E. Hernandez, Yu-Chih Huang, Stefano Rini
    http://arxiv.org/abs/2111.07599v1

    • [cond-mat.mes-hall]Energy Efficient Learning with Low Resolution Stochastic Domain Wall Synapse Based Deep Neural Networks
    Walid A. Misba, Mark Lozano, Damien Querlioz, Jayasimha Atulasimha
    http://arxiv.org/abs/2111.07284v1

    • [cond-mat.mtrl-sci]Physics in the Machine: Integrating Physical Knowledge in Autonomous Phase-Mapping
    A. Gilad Kusne, Austin McDannald, Brian DeCost, Corey Oses, Cormac Toher, Stefano Curtarolo, Apurva Mehta, Ichiro Takeuchi
    http://arxiv.org/abs/2111.07478v1

    • [cs.AI]A Survey on AI Assurance
    Feras A. Batarseh, Laura Freeman
    http://arxiv.org/abs/2111.07505v1

    • [cs.AI]AI in Games: Techniques, Challenges and Opportunities
    Qiyue Yin, Jun Yang, Wancheng Ni, Bin Liang, Kaiqi Huang
    http://arxiv.org/abs/2111.07631v1

    • [cs.AI]AnimeCeleb: Large-Scale Animation CelebFaces Dataset via Controllable 3D Synthetic Models
    Kangyeol Kim, Sunghyun Park, Jaeseong Lee, Sunghyo Chung, Junsoo Lee, Jaegul Choo
    http://arxiv.org/abs/2111.07640v1

    • [cs.AI]Automated scholarly paper review: Possibility and challenges
    Jialiang Lin, Jiaxin Song, Zhangping Zhou, Xiaodong Shi
    http://arxiv.org/abs/2111.07533v1

    • [cs.AI]Can Graph Neural Networks Learn to Solve MaxSAT Problem?
    Minghao Liu, Fuqi Jia, Pei Huang, Fan Zhang, Yuchen Sun, Shaowei Cai, Feifei Ma, Jian Zhang
    http://arxiv.org/abs/2111.07568v1

    • [cs.AI]Code Representation Learning with Prüfer Sequences
    Tenzin Jinpa, Yong Gao
    http://arxiv.org/abs/2111.07263v1

    • [cs.AI]Confucius, Cyberpunk and Mr. Science: Comparing AI ethics between China and the EU
    Pascale Fung, Hubert Etienne
    http://arxiv.org/abs/2111.07555v1

    • [cs.AI]Independent SE(3)-Equivariant Models for End-to-End Rigid Protein Docking
    Octavian-Eugen Ganea, Xinyuan Huang, Charlotte Bunne, Yatao Bian, Regina Barzilay, Tommi Jaakkola, Andreas Krause
    http://arxiv.org/abs/2111.07786v1

    • [cs.AI]Learning to Execute: Efficient Learning of Universal Plan-Conditioned Policies in Robotics
    Ingmar Schubert, Danny Driess, Ozgur S. Oguz, Marc Toussaint
    http://arxiv.org/abs/2111.07908v1

    • [cs.AI]Measuring Outcomes in Healthcare Economics using Artificial Intelligence: with Application to Resource Management
    Chih-Hao Huang, Feras A. Batarseh, Adel Boueiz, Ajay Kulkarni, Po-Hsuan Su, Jahan Aman
    http://arxiv.org/abs/2111.07503v1

    • [cs.AI]The Possibilistic Horn Non-Clausal Knowledge Bases
    Gonzalo E. Imaz
    http://arxiv.org/abs/2111.07648v1

    • [cs.AI]Zero-Shot Learning in Named-Entity Recognition with External Knowledge
    Nguyen Van Hoang, Soeren Hougaard Mulvad, Dexter Neo Yuan Rong, Yang Yue
    http://arxiv.org/abs/2111.07734v1

    • [cs.CL]“Will You Find These Shortcuts?” A Protocol for Evaluating the Faithfulness of Input Salience Methods for Text Classification
    Jasmijn Bastings, Sebastian Ebert, Polina Zablotskaia, Anders Sandholm, Katja Filippova
    http://arxiv.org/abs/2111.07367v1

    • [cs.CL]A feast for trolls — Engagement analysis of counternarratives against online toxicity
    Tom De Smedt, Pierre Voué, Sylvia Jaki, Emily Duffy, Lydia El-Khouri
    http://arxiv.org/abs/2111.07188v1

    • [cs.CL]Adding more data does not always help: A study in medical conversation summarization with PEGASUS
    Varun Nair, Namit Katariya, Xavier Amatriain, Ilya Valmianski, Anitha Kannan
    http://arxiv.org/abs/2111.07564v1

    • [cs.CL]Annotators with Attitudes: How Annotator Beliefs And Identities Bias Toxic Language Detection
    Maarten Sap, Swabha Swayamdipta, Laura Vianna, Xuhui Zhou, Yejin Choi, Noah A. Smith
    http://arxiv.org/abs/2111.07997v1

    • [cs.CL]Automatic Analysis of Linguistic Features in Journal Articles of Different Academic Impacts with Feature Engineering Techniques
    Siyu Lei, Ruiying Yang, Chu-Ren Huang
    http://arxiv.org/abs/2111.07525v1

    • [cs.CL]CDM: Combining Extraction and Generation for Definition Modeling
    Jie Huang, Hanyin Shao, Kevin Chen-Chuan Chang
    http://arxiv.org/abs/2111.07267v1

    • [cs.CL]Calculating Question Similarity is Enough:A New Method for KBQA Tasks
    Hanyu Zhao, Sha Yuan, Jiahong Leng, Xiang Pan, Guoqiang Wang
    http://arxiv.org/abs/2111.07658v1

    • [cs.CL]CoLLIE: Continual Learning of Language Grounding from Language-Image Embeddings
    Gabriel Skantze, Bram Willemsen
    http://arxiv.org/abs/2111.07993v1

    • [cs.CL]Contrastive Clustering: Toward Unsupervised Bias Reduction for Emotion and Sentiment Classification
    Jared Mowery
    http://arxiv.org/abs/2111.07448v1

    • [cs.CL]DEEP: DEnoising Entity Pre-training for Neural Machine Translation
    Junjie Hu, Hiroaki Hayashi, Kyunghyun Cho, Graham Neubig
    http://arxiv.org/abs/2111.07393v1

    • [cs.CL]Data Augmentation for Speech Recognition in Maltese: A Low-Resource Perspective
    Carlos Mena, Andrea DeMarco, Claudia Borg, Lonneke van der Plas, Albert Gatt
    http://arxiv.org/abs/2111.07793v1

    • [cs.CL]Evaluating Metrics for Bias in Word Embeddings
    Sarah Schröder, Alexander Schulz, Philip Kenneweg, Robert Feldhans, Fabian Hinder, Barbara Hammer
    http://arxiv.org/abs/2111.07864v1

    • [cs.CL]Explainable Semantic Space by Grounding Language to Vision with Cross-Modal Contrastive Learning
    Yizhen Zhang, Minkyu Choi, Kuan Han, Zhongming Liu
    http://arxiv.org/abs/2111.07180v1

    • [cs.CL]Exploiting all samples in low-resource sentence classification: early stopping and initialization parameters
    HongSeok Choi, Hyunju Lee
    http://arxiv.org/abs/2111.06971v1

    • [cs.CL]Extracting and filtering paraphrases by bridging natural language inference and paraphrasing
    Matej Klemen, Marko Robnik-Šikonja
    http://arxiv.org/abs/2111.07119v1

    • [cs.CL]IIITT@Dravidian-CodeMix-FIRE2021: Transliterate or translate? Sentiment analysis of code-mixed text in Dravidian languages
    Karthik Puranik, Bharathi B, Senthil Kumar B
    http://arxiv.org/abs/2111.07906v1

    • [cs.CL]Improving Prosody for Unseen Texts in Speech Synthesis by Utilizing Linguistic Information and Noisy Data
    Zhu Li, Yuqing Zhang, Mengxi Nie, Ming Yan, Mengnan He, Ruixiong Zhang, Caixia Gong
    http://arxiv.org/abs/2111.07549v1

    • [cs.CL]Keyphrase Extraction Using Neighborhood Knowledge Based on Word Embeddings
    Yuchen Liang, Mohammed J. Zaki
    http://arxiv.org/abs/2111.07198v1

    • [cs.CL]MS-LaTTE: A Dataset of Where and When To-do Tasks are Completed
    Sujay Kumar Jauhar, Nirupama Chandrasekaran, Michael Gamon, Ryen W. White
    http://arxiv.org/abs/2111.06902v1

    • [cs.CL]Measuring Uncertainty in Translation Quality Evaluation (TQE)
    Serge Gladkoff, Irina Sorokina, Lifeng Han, Alexandra Alekseeva
    http://arxiv.org/abs/2111.07699v1

    • [cs.CL]Offense Detection in Dravidian Languages using Code-Mixing Index based Focal Loss
    Debapriya Tula, Shreyas MS, Viswanatha Reddy, Pranjal Sahu, Sumanth Doddapaneni, Prathyush Potluri, Rohan Sukumaran, Parth Patwa
    http://arxiv.org/abs/2111.06916v1

    • [cs.CL]Prediction of Listener Perception of Argumentative Speech in a Crowdsourced Data Using (Psycho-)Linguistic and Fluency Features
    Yu Qiao, Sourabh Zanwar, Rishab Bhattacharyya, Daniel Wiechmann, Wei Zhou, Elma Kerz, Ralf Schlüter
    http://arxiv.org/abs/2111.07130v1

    • [cs.CL]Question-Based Salient Span Selection for More Controllable Text Summarization
    Daniel Deutsch, Dan Roth
    http://arxiv.org/abs/2111.07935v1

    • [cs.CL]Rationale production to support clinical decision-making
    Niall Taylor, Lei Sha, Dan W Joyce, Thomas Lukasiewicz, Alejo Nevado-Holgado, Andrey Kormilitzin
    http://arxiv.org/abs/2111.07611v1

    • [cs.CL]Robust Deep Reinforcement Learning for Extractive Legal Summarization
    Duy-Hung Nguyen, Bao-Sinh Nguyen, Nguyen Viet Dung Nghiem, Dung Tien Le, Mim Amina Khatun, Minh-Tien Nguyen, Hung Le
    http://arxiv.org/abs/2111.07158v1

    • [cs.CL]Say What? Collaborative Pop Lyric Generation Using Multitask Transfer Learning
    Naveen Ram, Tanay Gummadi, Rahul Bhethanabotla, Richard J. Savery, Gil Weinberg
    http://arxiv.org/abs/2111.07592v1

    • [cs.CL]Sentiment Analysis of Fashion Related Posts in Social Media
    Yifei Yuan, Wai Lam
    http://arxiv.org/abs/2111.07815v1

    • [cs.CL]SocialBERT — Transformers for Online SocialNetwork Language Modelling
    Ilia Karpov, Nick Kartashev
    http://arxiv.org/abs/2111.07148v1

    • [cs.CL]Speeding Up Entmax
    Maxat Tezekbayev, Vassilina Nikoulina, Matthias Gallé, Zhenisbek Assylbekov
    http://arxiv.org/abs/2111.06832v2

    • [cs.CL]Testing the Generalization of Neural Language Models for COVID-19 Misinformation Detection
    Jan Philip Wahle, Nischal Ashok, Terry Ruas, Norman Meuschke, Tirthankar Ghosal, Bela Gipp
    http://arxiv.org/abs/2111.07819v1

    • [cs.CL]Textless Speech Emotion Conversion using Decomposed and Discrete Representations
    Felix Kreuk, Adam Polyak, Jade Copet, Eugene Kharitonov, Tu-Anh Nguyen, Morgane Rivière, Wei-Ning Hsu, Abdelrahman Mohamed, Emmanuel Dupoux, Yossi Adi
    http://arxiv.org/abs/2111.07402v1

    • [cs.CL]The Choice of Knowledge Base in Automated Claim Checking
    Dominik Stammbach, Boya Zhang, Elliott Ash
    http://arxiv.org/abs/2111.07795v1

    • [cs.CL]Time Waits for No One! Analysis and Challenges of Temporal Misalignment
    Kelvin Luu, Daniel Khashabi, Suchin Gururangan, Karishma Mandyam, Noah A. Smith
    http://arxiv.org/abs/2111.07408v1

    • [cs.CL]Towards Interpretability of Speech Pause in Dementia Detection using Adversarial Learning
    Youxiang Zhu, Bang Tran, Xiaohui Liang, John A. Batsis, Robert M. Roth
    http://arxiv.org/abs/2111.07454v1

    • [cs.CL]Towards annotation of text worlds in a literary work
    Elena Mikhalkova, Timofei Protasov, Anastasiia Drozdova, Anastasiia Bashmakova, Polina Gavin
    http://arxiv.org/abs/2111.07256v1

    • [cs.CL]Triggerless Backdoor Attack for NLP Tasks with Clean Labels
    Leilei Gan, Jiwei Li, Tianwei Zhang, Xiaoya Li, Yuxian Meng, Fei Wu, Shangwei Guo, Chun Fan
    http://arxiv.org/abs/2111.07970v1

    • [cs.CR]Evaluating the effectiveness of Phishing Reports on Twitter
    Sayak Saha Roy, Unique Karanjit, Shirin Nilizadeh
    http://arxiv.org/abs/2111.07201v1

    • [cs.CR]PAMMELA: Policy Administration Methodology using Machine Learning
    Varun Gumma, Barsha Mitra, Soumyadeep Dey, Pratik Shashikantbhai Patel, Sourabh Suman, Saptarshi Das
    http://arxiv.org/abs/2111.07060v1

    • [cs.CR]Property Inference Attacks Against GANs
    Junhao Zhou, Yufei Chen, Chao Shen, Yang Zhang
    http://arxiv.org/abs/2111.07608v1

    • [cs.CR]Resilience of IOTA Consensus
    Hamed Mamache, Gabin Mazué, Osama Rashid, Gewu Bu, Maria Potop-Butucaru
    http://arxiv.org/abs/2111.07805v1

    • [cs.CR]Tracking in apps’ privacy policies
    Konrad Kollnig
    http://arxiv.org/abs/2111.07860v1

    • [cs.CV]A Central Difference Graph Convolutional Operator for Skeleton-Based Action Recognition
    Shuangyan Miao, Yonghong Hou, Zhimin Gao, Mingliang Xu, Wanqing Li
    http://arxiv.org/abs/2111.06995v1

    • [cs.CV]A Comparative Study of Fingerprint Image-Quality Estimation Methods
    Fernando Alonso-Fernandez, Julian Fierrez, Javier Ortega-Garcia, Joaquin Gonzalez-Rodriguez, Hartwig Fronthaler, Klaus Kollreider, Josef Bigun
    http://arxiv.org/abs/2111.07432v1

    • [cs.CV]A Probabilistic Hard Attention Model For Sequentially Observed Scenes
    Samrudhdhi B. Rangrej, James J. Clark
    http://arxiv.org/abs/2111.07534v1

    • [cs.CV]Action2video: Generating Videos of Human 3D Actions
    Chuan Guo, Xinxin Zuo, Sen Wang, Xinshuang Liu, Shihao Zou, Minglun Gong, Li Cheng
    http://arxiv.org/abs/2111.06925v1

    • [cs.CV]Attention Mechanisms in Computer Vision: A Survey
    Meng-Hao Guo, Tian-Xing Xu, Jiang-Jiang Liu, Zheng-Ning Liu, Peng-Tao Jiang, Tai-Jiang Mu, Song-Hai Zhang, Ralph R. Martin, Ming-Ming Cheng, Shi-Min Hu
    http://arxiv.org/abs/2111.07624v1

    • [cs.CV]Auxiliary Loss Adaption for Image Inpainting
    Siqi Hui, Sanping Zhou, Xingyu Wan, Jixin Wang, Yang Wu, Zhenghao Gong, Jinjun Wang
    http://arxiv.org/abs/2111.07279v1

    • [cs.CV]Background-Aware 3D Point Cloud Segmentationwith Dynamic Point Feature Aggregation
    Jiajing Chen, Burak Kakillioglu, Senem Velipasalar
    http://arxiv.org/abs/2111.07248v1

    • [cs.CV]Category-orthogonal object features guide information processing in recurrent neural networks trained for object categorization
    Sushrut Thorat, Giacomo Aldegheri, Tim C. Kietzmann
    http://arxiv.org/abs/2111.07898v1

    • [cs.CV]Co-segmentation Inspired Attention Module for Video-based Computer Vision Tasks
    Arulkumar Subramaniam, Jayesh Vaidya, Muhammed Abdul Majeed Ameen, Athira Nambiar, Anurag Mittal
    http://arxiv.org/abs/2111.07370v1

    • [cs.CV]CoReS: Compatible Representations via Stationarity
    Niccolo Biondi, Federico Pernici, Matteo Bruni, Alberto Del Bimbo
    http://arxiv.org/abs/2111.07632v1

    • [cs.CV]Color Mapping Functions For HDR Panorama Imaging: Weighted Histogram Averaging
    Yilun Xu, Zhengguo Li, Weihai Chen, Changyun Wen
    http://arxiv.org/abs/2111.07283v1

    • [cs.CV]Contrastive Feature Loss for Image Prediction
    Alex Andonian, Taesung Park, Bryan Russell, Phillip Isola, Jun-Yan Zhu, Richard Zhang
    http://arxiv.org/abs/2111.06934v1

    • [cs.CV]DFC: Deep Feature Consistency for Robust Point Cloud Registration
    Zhu Xu, Zhengyao Bai, Huijie Liu, Qianjie Lu, Shenglan Fan
    http://arxiv.org/abs/2111.07597v1

    • [cs.CV]D^2Conv3D: Dynamic Dilated Convolutions for Object Segmentation in Videos
    Christian Schmidt, Ali Athar, Sabarinath Mahadevan, Bastian Leibe
    http://arxiv.org/abs/2111.07774v1

    • [cs.CV]D^2LV: A Data-Driven and Local-Verification Approach for Image Copy Detection
    Wenhao Wang, Yifan Sun, Weipu Zhang, Yi Yang
    http://arxiv.org/abs/2111.07090v1

    • [cs.CV]Deep Neural Networks for Automatic Grain-matrix Segmentation in Plane and Cross-polarized Sandstone Photomicrographs
    Rajdeep Das, Ajoy Mondal, Tapan Chakraborty, Kuntal Ghosh
    http://arxiv.org/abs/2111.07102v1

    • [cs.CV]Deep Semantic Manipulation of Facial Videos
    Girish Kumar Solanki, Anastasios Roussos
    http://arxiv.org/abs/2111.07902v1

    • [cs.CV]Developing a Novel Approach for Periapical Dental Radiographs Segmentation
    Elaheh Hatami Majoumerd, Farshad Tajeripour
    http://arxiv.org/abs/2111.07156v1

    • [cs.CV]Facial Landmark Points Detection Using Knowledge Distillation-Based Neural Networks
    Ali Pourramezan Fard, Mohammad H. Mahoor
    http://arxiv.org/abs/2111.07047v1

    • [cs.CV]Factorial Convolution Neural Networks
    Jaemo Sung, Eun-Sung Jung
    http://arxiv.org/abs/2111.07072v1

    • [cs.CV]FakeTransformer: Exposing Face Forgery From Spatial-Temporal Representation Modeled By Facial Pixel Variations
    Yuyang Sun, Zhiyong Zhang, Changzhen Qiu, Liang Wang, Zekai Wang
    http://arxiv.org/abs/2111.07601v1

    • [cs.CV]FastFlow: Unsupervised Anomaly Detection and Localization via 2D Normalizing Flows
    Jiawei Yu1, Ye Zheng, Xiang Wang, Wei Li, Yushuang Wu, Rui Zhao, Liwei Wu1
    http://arxiv.org/abs/2111.07677v1

    • [cs.CV]Finding Optimal Tangent Points for Reducing Distortions of Hard-label Attacks
    Chen Ma, Xiangyu Guo, Li Chen, Jun-Hai Yong, Yisen Wang
    http://arxiv.org/abs/2111.07492v1

    • [cs.CV]Fingerprint Presentation Attack Detection by Channel-wise Feature Denoising
    Feng Liu, Zhe Kong, Haozhe Liu, Wentian Zhang, Linlin Shen
    http://arxiv.org/abs/2111.07620v1

    • [cs.CV]Full-attention based Neural Architecture Search using Context Auto-regression
    Yuan Zhou, Haiyang Wang, Shuwei Huo, Boyu Wang
    http://arxiv.org/abs/2111.07139v1

    • [cs.CV]Generating Band-Limited Adversarial Surfaces Using Neural Networks
    Roee Ben Shlomo, Yevgeniy Men, Ido Imanuel
    http://arxiv.org/abs/2111.07424v1

    • [cs.CV]High-Quality Real Time Facial Capture Based on Single Camera
    Hongwei Xu, Leijia Dai, Jianxing Fu, Xiangyuan Wang, Quanwei Wang
    http://arxiv.org/abs/2111.07556v1

    • [cs.CV]Hyperspectral Mixed Noise Removal via Subspace Representation and Weighted Low-rank Tensor Regularization
    Hang Zhou, Yanchi Su, Zhanshan Li
    http://arxiv.org/abs/2111.07044v1

    • [cs.CV]Image Classification with Consistent Supporting Evidence
    Peiqi Wang, Ruizhi Liao, Daniel Moyer, Seth Berkowitz, Steven Horng, Polina Golland
    http://arxiv.org/abs/2111.07048v1

    • [cs.CV]Impact of Benign Modifications on Discriminative Performance of Deepfake Detectors
    Yuhang Lu, Evgeniy Upenik, Touradj Ebrahimi
    http://arxiv.org/abs/2111.07468v1

    • [cs.CV]Interactive Medical Image Segmentation with Self-Adaptive Confidence Calibration
    Wenhao Li, Qisen Xu, Chuyun Shen, Bin Hu, Fengping Zhu, Yuxin Li, Bo Jin, Xiangfeng Wang
    http://arxiv.org/abs/2111.07716v1

    • [cs.CV]Large-Scale Hyperspectral Image Clustering Using Contrastive Learning
    Yaoming Cai, Zijia Zhang, Yan Liu, Pedram Ghamisi, Kun Li, Xiaobo Liu, Zhihua Cai
    http://arxiv.org/abs/2111.07945v1

    • [cs.CV]Learnable Locality-Sensitive Hashing for Video Anomaly Detection
    Yue Lu, Congqi Cao, Yanning Zhang
    http://arxiv.org/abs/2111.07839v1

    • [cs.CV]Learning Object-Centric Representations of Multi-Object Scenes from Multiple Views
    Li Nanbo, Cian Eastwood, Robert B. Fisher
    http://arxiv.org/abs/2111.07117v1

    • [cs.CV]Learning Online for Unified Segmentation and Tracking Models
    Tianyu Zhu, Rongkai Ma, Mehrtash Harandi, Tom Drummond
    http://arxiv.org/abs/2111.06994v1

    • [cs.CV]Leveraging Unsupervised Image Registration for Discovery of Landmark Shape Descriptor
    Riddhish Bhalodia, Shireen Elhabian, Ladislav Kavan, Ross Whitaker
    http://arxiv.org/abs/2111.07009v1

    • [cs.CV]LiT: Zero-Shot Transfer with Locked-image Text Tuning
    Xiaohua Zhai, Xiao Wang, Basil Mustafa, Andreas Steiner, Daniel Keysers, Alexander Kolesnikov, Lucas Beyer
    http://arxiv.org/abs/2111.07991v1

    • [cs.CV]Local Multi-Head Channel Self-Attention for Facial Expression Recognition
    Roberto Pecoraro, Valerio Basile, Viviana Bono, Sara Gallo
    http://arxiv.org/abs/2111.07224v1

    • [cs.CV]Mask-guided Spectral-wise Transformer for Efficient Hyperspectral Image Reconstruction
    Yuanhao Cai, Jing Lin, Xiaowan Hu, Haoqian Wang, Xin Yuan, Yulun Zhang, Radu Timofte, Luc Van Gool
    http://arxiv.org/abs/2111.07910v1

    • [cs.CV]Multi-Task Classification of Sewer Pipe Defects and Properties using a Cross-Task Graph Neural Network Decoder
    Joakim Bruslund Haurum, Meysam Madadi, Sergio Escalera, Thomas B. Moeslund
    http://arxiv.org/abs/2111.07846v1

    • [cs.CV]Multi-View Motion Synthesis via Applying Rotated Dual-Pixel Blur Kernels
    Abdullah Abuolaim, Mahmoud Afifi, Michael S. Brown
    http://arxiv.org/abs/2111.07837v1

    • [cs.CV]Multimodal Generalized Zero Shot Learning for Gleason Grading using Self-Supervised Learning
    Dwarikanath Mahapatra
    http://arxiv.org/abs/2111.07646v1

    • [cs.CV]New Performance Measures for Object Tracking under Complex Environments
    Ajoy Mondal
    http://arxiv.org/abs/2111.07145v1

    • [cs.CV]Object Propagation via Inter-Frame Attentions for Temporally Stable Video Instance Segmentation
    Anirudh S Chakravarthy, Won-Dong Jang, Zudi Lin, Donglai Wei, Song Bai, Hanspeter Pfister
    http://arxiv.org/abs/2111.07529v1

    • [cs.CV]Occluded Video Instance Segmentation: Dataset and ICCV 2021 Challenge
    Jiyang Qi, Yan Gao, Yao Hu, Xinggang Wang, Xiaoyu Liu, Xiang Bai, Serge Belongie, Alan Yuille, Philip H. S. Torr, Song Bai
    http://arxiv.org/abs/2111.07950v1

    • [cs.CV]On the validation of pansharpening methods
    Gintautas Palubinskas
    http://arxiv.org/abs/2111.07625v1

    • [cs.CV]PhysXNet: A Customizable Approach for LearningCloth Dynamics on Dressed People
    Jordi Sanchez-Riera, Albert Pumarola, Francesc Moreno-Noguer
    http://arxiv.org/abs/2111.07195v1

    • [cs.CV]QK Iteration: A Self-Supervised Representation Learning Algorithm for Image Similarity
    David Wu, Yunnan Wu
    http://arxiv.org/abs/2111.07954v1

    • [cs.CV]Real-time Emotion and Gender Classification using Ensemble CNN
    Abhinav Lahariya, Varsha Singh, Uma Shanker Tiwary
    http://arxiv.org/abs/2111.07746v1

    • [cs.CV]Recursive Self-Improvement for Camera Image and Signal Processing Pipeline
    Chandrajit Bajaj, Yi Wang, Yunhao Yang, Yuhan Zheng
    http://arxiv.org/abs/2111.07499v1

    • [cs.CV]Robust and Accurate Object Detection via Self-Knowledge Distillation
    Weipeng Xu, Pengzhi Chu, Renhao Xie, Xiongziyan Xiao, Hongcheng Huang
    http://arxiv.org/abs/2111.07239v1

    • [cs.CV]Searching for TrioNet: Combining Convolution with Local and Global Self-Attention
    Huaijin Pi, Huiyu Wang, Yingwei Li, Zizhang Li, Alan Yuille
    http://arxiv.org/abs/2111.07547v1

    • [cs.CV]Sign Language Translation with Hierarchical Spatio-TemporalGraph Neural Network
    Jichao Kan, Kun Hu, Markus Hagenbuchner, Ah Chung Tsoi, Mohammed Bennamounm, Zhiyong Wang
    http://arxiv.org/abs/2111.07258v1

    • [cs.CV]Sparse Steerable Convolutions: An Efficient Learning of SE(3)-Equivariant Features for Estimation and Tracking of Object Poses in 3D Space
    Jiehong Lin, Hongyang Li, Ke Chen, Jiangbo Lu, Kui Jia
    http://arxiv.org/abs/2111.07383v1

    • [cs.CV]Stacked BNAS: Rethinking Broad Convolutional Neural Network for Neural Architecture Search
    Zixiang Ding, Yaran Chen, Nannan Li, Dongbin Zhao
    http://arxiv.org/abs/2111.07722v1

    • [cs.CV]TANDEM: Tracking and Dense Mapping in Real-time using Deep Multi-view Stereo
    Lukas Koestler, Nan Yang, Niclas Zeller, Daniel Cremers
    http://arxiv.org/abs/2111.07418v1

    • [cs.CV]Through-Foliage Tracking with Airborne Optical Sectioning
    Rakesh John Amala Arokia Nathan, Indrajit Kurmi, David C. Schedl, Oliver Bimber
    http://arxiv.org/abs/2111.06959v1

    • [cs.CV]Towards Optimal Strategies for Training Self-Driving Perception Models in Simulation
    David Acuna, Jonah Philion, Sanja Fidler
    http://arxiv.org/abs/2111.07971v1

    • [cs.CV]Towards Privacy-Preserving Affect Recognition: A Two-Level Deep Learning Architecture
    Jimiama M. Mase, Natalie Leesakul, Fan Yang, Grazziela P. Figueredo, Mercedes Torres Torres
    http://arxiv.org/abs/2111.07344v1

    • [cs.CV]Tracking People with 3D Representations
    Jathushan Rajasegaran, Georgios Pavlakos, Angjoo Kanazawa, Jitendra Malik
    http://arxiv.org/abs/2111.07868v1

    • [cs.CV]UET-Headpose: A sensor-based top-view head pose dataset
    Linh Nguyen Viet, Tuan Nguyen Dinh, Hoang Nguyen Viet, Duc Tran Minh, Long Tran Quoc
    http://arxiv.org/abs/2111.07039v1

    • [cs.CV]Unsupervised Action Localization Crop in Video Retargeting for 3D ConvNets
    Prithwish Jana, Swarnabja Bhaumik, Partha Pratim Mohanta
    http://arxiv.org/abs/2111.07426v1

    • [cs.CV]Unsupervised Lightweight Single Object Tracking with UHP-SOT++
    Zhiruo Zhou, Hongyu Fu, Suya You, C. -C. Jay Kuo
    http://arxiv.org/abs/2111.07548v1

    • [cs.CV]Visual Intelligence through Human Interaction
    Ranjay Krishna, Mitchell Gordon, Li Fei-Fei, Michael Bernstein
    http://arxiv.org/abs/2111.06913v1

    • [cs.CV]Visual Understanding of Complex Table Structures from Document Images
    Sachin Raja, Ajoy Mondal, C V Jawahar
    http://arxiv.org/abs/2111.07129v1

    • [cs.CV]Volumetric Parameterization of the Placenta to a Flattened Template
    S. Mazdak Abulnaga, Esra Abaci Turk, Mikhail Bessmeltsev, P. Ellen Grant, Justin Solomon, Polina Golland
    http://arxiv.org/abs/2111.07900v1

    • [cs.CV]Weakly-Supervised Dense Action Anticipation
    Haotong Zhang, Fuhai Chen, Angela Yao
    http://arxiv.org/abs/2111.07593v1

    • [cs.CV]Where to Look: A Unified Attention Model for Visual Recognition with Reinforcement Learning
    Gang Chen
    http://arxiv.org/abs/2111.07169v1

    • [cs.CV]iBOT: Image BERT Pre-Training with Online Tokenizer
    Jinghao Zhou, Chen Wei, Huiyu Wang, Wei Shen, Cihang Xie, Alan Yuille, Tao Kong
    http://arxiv.org/abs/2111.07832v1

    • [cs.CY]Introducing Variational Autoencoders to High School Students
    Zhuoyue Lyu, Safinah Ali, Cynthia Breazeal
    http://arxiv.org/abs/2111.07036v1

    • [cs.CY]Randomized Classifiers vs Human Decision-Makers: Trustworthy AI May Have to Act Randomly and Society Seems to Accept This
    Gábor Erdélyi, Olivia J. Erdélyi, Vladimir Estivill-Castro
    http://arxiv.org/abs/2111.07545v1

    • [cs.DC]Composing Energy Services in a Crowdsourced IoT Environment
    Abdallah Lakhdari, Athman Bouguettaya, Sajib Mistry, andAzadeh Ghari Neiat
    http://arxiv.org/abs/2111.07528v1

    • [cs.DC]Practical Scheduling for Real-World Serverless Computing
    Kostis Kaffes, Neeraja J. Yadwadkar, Christos Kozyrakis
    http://arxiv.org/abs/2111.07226v1

    • [cs.DC]Training Data Reduction for Performance Models of Data Analytics Jobs in the Cloud
    Jonathan Will, Onur Arslan, Jonathan Bader, Dominik Scheinert, Lauritz Thamsen
    http://arxiv.org/abs/2111.07904v1

    • [cs.DL]Center-Periphery Structure in Communities: Extracellular Vesicles
    Eleanor Wedell, Minhyuk Park, Dmitriy Korobskiy, Tandy Warnow, George Chacko
    http://arxiv.org/abs/2111.07410v1

    • [cs.DS]Best of Both Worlds: Practical and Theoretically Optimal Submodular Maximization in Parallel
    Yixin Chen, Tonmoy Dey, Alan Kuhnle
    http://arxiv.org/abs/2111.07917v1

    • [cs.ET]TMS-Crossbars with Tactile Sensing
    R. Chithra, A. R. Aswani, A. P. James
    http://arxiv.org/abs/2111.07280v1

    • [cs.HC]Committing to Interdependence: Implications from Game Theory for Human-Robot Trust
    Yosef S. Razin, Karen M. Feigh
    http://arxiv.org/abs/2111.06939v1

    • [cs.IR]A Study on the Efficient Product Search Service for the Damaged Image Information
    Yonghyun Kim
    http://arxiv.org/abs/2111.07346v1

    • [cs.IR]FAIR Geovisualizations: Definitions, Challenges, and the Road Ahead
    Auriol Degbelo
    http://arxiv.org/abs/2111.07273v1

    • [cs.IR]Linear, or Non-Linear, That is the Question!
    Taeyong Kong, Taeri Kim, Jinsung Jeon, Jeongwhan Choi, Yeon-Chang Lee, Noseong Park, Sang-Wook Kim
    http://arxiv.org/abs/2111.07265v1

    • [cs.IR]Session-aware Item-combination Recommendation with Transformer Network
    Tzu-Heng Lin, Chen Gao
    http://arxiv.org/abs/2111.07154v1

    • [cs.IR]Study of keyword extraction techniques for Electric Double Layer Capacitor domain using text similarity indexes: An experimental analysis
    M. Saef Ullah Miah, Junaida Sulaiman, Talha Bin Sarwar, Kamal Z. Zamli, Rajan Jose
    http://arxiv.org/abs/2111.07068v1

    • [cs.IR]TEA: A Sequential Recommendation Framework via Temporally Evolving Aggregations
    Zijian Li, Ruichu Cai, Fengzhu Wu, Sili Zhang, Hao Gu, Yuexing Hao, Yuguang
    http://arxiv.org/abs/2111.07378v1

    • [cs.IT]5 Gbps Optical Wir
    79a
    eless Communication using Commercial SPAD Array Receivers
    Shenjie Huang, Cheng Chen, Rui Bian, Harald Haas, Majid Safari
    http://arxiv.org/abs/2111.07123v1

    • [cs.IT]A discrete complement of Lyapunov’s inequality and its information theoretic consequences
    James Melbourne, Gerardo Palafox-Castillo
    http://arxiv.org/abs/2111.06997v1

    • [cs.IT]Achievable Rates for Short-Reach Fiber-Optic Channels with Direct Detection
    Daniel Plabst, Tobias Prinz, Thomas Wiegart, Talha Rahman, Nebojša Stojanović, Stefano Calabrò, Norbert Hanik, Gerhard Kramer
    http://arxiv.org/abs/2111.07865v1

    • [cs.IT]Active information requirements for fixation on the Wright-Fisher model of population genetics
    Daniel Andrés Díaz-Pachón, Robert J. Marks II
    http://arxiv.org/abs/2111.06909v1

    • [cs.IT]Cell-Free Massive MIMO with Low-Complexity Hybrid Beamforming
    Abbas Khalili, Alexei Ashikhmin, Hong Yang
    http://arxiv.org/abs/2111.07463v1

    • [cs.IT]Discriminative Mutual Information Estimation for the Design of Channel Capacity Driven Autoencoders
    Nunzio A. Letizia, Andrea M. Tonello
    http://arxiv.org/abs/2111.07606v1

    • [cs.IT]Faster-than-Nyquist Signaling for MIMO Communications
    Zichao Zhang, Melda Yuksel, Halim Yanikomeroglu
    http://arxiv.org/abs/2111.07867v1

    • [cs.IT]High-Rate Convolutional Codes with CRC-Aided List Decoding for Short Blocklengths
    Wenhui Sui, Hengjie Yang, Brendan Towell, Ava Asmani, Richard D. Wesel
    http://arxiv.org/abs/2111.07929v1

    • [cs.IT]Improved Decoding of Expander Codes
    Xue Chen, Kuan Cheng, Xin Li, Minghui Ouyang
    http://arxiv.org/abs/2111.07629v1

    • [cs.IT]Low-Subpacketization Multi-Antenna Coded Caching for Dynamic Networks
    MohammadJavad Salehi, Emanuele Parrinello, Hamidreza Bakhshzad Mahmoodi, Antti Tolli
    http://arxiv.org/abs/2111.07626v1

    • [cs.IT]Neural Capacity Estimators: How Reliable Are They?
    Farhad Mirkarimi, Stefano Rini, Nariman Farsad
    http://arxiv.org/abs/2111.07401v1

    • [cs.IT]Neural Normalized Min-Sum Message-Passing vs. Viterbi Decoding for the CCSDS Line Product Code
    Jonathan Nguyen, Linfang Wang, Chester Hulse, Sahil Dani, Amaael Antonini, Todd Chauvin, Divsalar Dariush, Richard Wesel
    http://arxiv.org/abs/2111.07959v1

    • [cs.IT]On Optimizing Rate Splitting in Laser-based Optical Wireless Networks
    Khulood Alazwary, Ahmad Adnan Qidan, Taisir El-Gorashi, Jaafar M. H. Elmirghani
    http://arxiv.org/abs/2111.07341v1

    • [cs.IT]Outage Analysis over Correlated Fisher-Snedecor F Fading Multi-User Channels
    Farshad Rostami Ghadi, Wei-Ping Zhu
    http://arxiv.org/abs/2111.06921v1

    • [cs.IT]Read-and-Run Constrained Coding for Modern Flash Devices
    Ahmed Hareedy, Simeng Zheng, Paul Siegel, Robert Calderbank
    http://arxiv.org/abs/2111.07415v1

    • [cs.IT]Single- versus Multi-Carrier Terahertz-Band Communications: A Comparative Study
    Simon Tarboush, Hadi Sarieddeen, Mohamed-Slim Alouini, Tareq Y. Al-Naffouri
    http://arxiv.org/abs/2111.07398v1

    • [cs.LG]今日学术视野(2021.11.17) - 图5-Laplacian Based Graph Neural Networks
    Guoji Fu, Peilin Zhao, Yatao Bian
    http://arxiv.org/abs/2111.07337v1

    • [cs.LG]A Comparative Study on Basic Elements of Deep Learning Models for Spatial-Temporal Traffic Forecasting
    Yuyol Shin, Yoonjin Yoon
    http://arxiv.org/abs/rg/abs/2111.07513v1

    • [cs.LG]A Comparative Study on Basic Elements of Deep Learning Models for Spatial-Temporal Traffic Forecasting
    Yuyol Shin, Yoonjin Yoon
    http://arxiv.org/abs/2111.07513v1

    • [cs.LG]A Machine Learning Approach for Recruitment Prediction in Clinical Trial Design
    Jingshu Liu, Patricia J Allen, Luke Benz, Daniel Blickstein, Evon Okidi, Xiao Shi
    http://arxiv.org/abs/2111.07407v1

    • [cs.LG]A Robust Unsupervised Ensemble of Feature-Based Explanations using Restricted Boltzmann Machines
    Vadim Borisov, Johannes Meier, Johan van den Heuvel, Hamed Jalali, Gjergji Kasneci
    http://arxiv.org/abs/2111.07379v1

    • [cs.LG]A teacher-student framework for online correctional learning
    Inês Lourenço, Rebecka Winqvist, Cristian R. Rojas, Bo Wahlberg
    http://arxiv.org/abs/2111.07818v1

    • [cs.LG]Adaptive Cost-Sensitive Learning in Neural Networks for Misclassification Cost Problems
    Ohad Volk, Gonen Singer
    http://arxiv.org/abs/2111.07382v1

    • [cs.LG]Adversarial Skill Chaining for Long-Horizon Robot Manipulation via Terminal State Regularization
    Youngwoon Lee, Joseph J. Lim, Anima Anandkumar, Yuke Zhu
    http://arxiv.org/abs/2111.07999v1

    • [cs.LG]Attentive Federated Learning for Concept Drift in Distributed 5G Edge Networks
    Amir Hossein Estiri, Muthucumaru Maheswaran
    http://arxiv.org/abs/2111.07457v1

    • [cs.LG]AutoGMap: Learning to Map Large-scale Sparse Graphs on Memristive Crossbars
    Bo Lyu, Shengbo Wang, Shiping Wen, Kaibo Shi, Yin Yang, Tingwen Huang
    http://arxiv.org/abs/2111.07684v1

    • [cs.LG]Bolstering Stochastic Gradient Descent with Model Building
    S. Ilker Birbil, Ozgur Martin, Gonenc Onay, Figen Oztoprak
    http://arxiv.org/abs/2111.07058v1

    • [cs.LG]Conditional Linear Regression for Heterogeneous Covariances
    Brendan Juba, Leda Liang
    http://arxiv.org/abs/2111.07834v1

    • [cs.LG]Continual Learning via Local Module Composition
    Oleksiy Ostapenko, Pau Rodriguez, Massimo Caccia, Laurent Charlin
    http://arxiv.org/abs/2111.07736v1

    • [cs.LG]Counterfactual Temporal Point Processes
    Kimia Noorbakhsh, Manuel Gomez Rodriguez
    http://arxiv.org/abs/2111.07603v1

    • [cs.LG]Curriculum Learning for Vision-and-Language Navigation
    Jiwen Zhang, Zhongyu Wei, Jianqing Fan, Jiajie Peng
    http://arxiv.org/abs/2111.07228v1

    • [cs.LG]Deep Learning based Urban Vehicle Trajectory Analytics
    Seongjin Choi
    http://arxiv.org/abs/2111.07489v1

    • [cs.LG]Delayed Feedback in Episodic Reinforcement Learning
    Benjamin Howson, Ciara Pike-Burke, Sarah Filippi
    http://arxiv.org/abs/2111.07615v1

    • [cs.LG]Efficient Binary Embedding of Categorical Data using BinSketch
    Bhisham Dev Verma, Rameshwar Pratap, Debajyoti Bera
    http://arxiv.org/abs/2111.07163v1

    • [cs.LG]Eluding Secure Aggregation in Federated Learning via Model Inconsistency
    Dario Pasquini, Danilo Francati, Giuseppe Ateniese
    http://arxiv.org/abs/2111.07380v1

    • [cs.LG]Evaluating Contrastive Learning on Wearable Timeseries for Downstream Clinical Outcomes
    Kevalee Shah, Dimitris Spathis, Chi Ian Tang, Cecilia Mascolo
    http://arxiv.org/abs/2111.07089v1

    • [cs.LG]Explicit Explore, Exploit, or Escape (今日学术视野(2021.11.17) - 图6): near-optimal safety-constrained reinforcement learning in polynomial time
    David M. Bossens, Nicholas Bishop
    http://arxiv.org/abs/2111.07395v1

    • [cs.LG]Fast Axiomatic Attribution for Neural Networks
    Robin Hesse, Simone Schaub-Meyer, Stefan Roth
    http://arxiv.org/abs/2111.07668v1

    • [cs.LG]Faster First-Order Algorithms for Monotone Strongly DR-Submodular Maximization
    Omid Sadeghi, Maryam Fazel
    http://arxiv.org/abs/2111.07990v1

    • [cs.LG]Federated Learning for Internet of Things: Applications, Challenges, and Opportunities
    Tuo Zhang, Lei Gao, Chaoyang He, Mi Zhang, Bhaskar Krishnamachari, Salman Avestimehr
    http://arxiv.org/abs/2111.07494v1

    • [cs.LG]Federated Learning with Hyperparameter-based Clustering for Electrical Load Forecasting
    Nastaran Gholizadeh, Petr Musilek
    http://arxiv.org/abs/2111.07462v1

    • [cs.LG]Fully Linear Graph Convolutional Networks for Semi-Supervised Learning and Clustering
    Yaoming Cai, Zijia Zhang, Zhihua Cai, Xiaobo Liu, Yao Ding, Pedram Ghamisi
    http://arxiv.org/abs/2111.07942v1

    • [cs.LG]Generate plane quad mesh with neural networks and tree search
    Hua Tong, Yong Ni
    http://arxiv.org/abs/2111.07613v1

    • [cs.LG]GraSSNet: Graph Soft Sensing Neural Networks
    Yu Huang, Chao Zhang, Jaswanth Yella, Sergei Petrov, Xiaoye Qian, Yufei Tang, Xingquan Zhu, Sthitie Bom
    http://arxiv.org/abs/2111.06980v1

    • [cs.LG]HAD-Net: Hybrid Attention-based Diffusion Network for Glucose Level Forecast
    Quentin Blampey, Mehdi Rahim
    http://arxiv.org/abs/2111.07455v1

    • [cs.LG]HydraGAN A Multi-head, Multi-objective Approach to Synthetic Data Generation
    Chance N DeSmet, Diane J Cook
    http://arxiv.org/abs/2111.07015v1

    • [cs.LG]Identification and Adaptive Control of Markov Jump Systems: Sample Complexity and Regret Bounds
    Yahya Sattar, Zhe Du, Davoud Ataee Tarzanagh, Laura Balzano, Necmiye Ozay, Samet Oymak
    http://arxiv.org/abs/2111.07018v1

    • [cs.LG]Improving Compound Activity Classification via Deep Transfer and Representation Learning
    Vishal Dey, Raghu Machiraju, Xia Ning
    http://arxiv.org/abs/2111.07439v1

    • [cs.LG]Interpretable ECG classification via a query-based latent space traversal (qLST)
    Melle B. Vessies, Sharvaree P. Vadgama, Rutger R. van de Leur, Pieter A. Doevendans, Rutger J. Hassink, Erik Bekkers, René van Es
    http://arxiv.org/abs/2111.07386v1

    • [cs.LG]Invariant Risk Minimisation for Cross-Organism Inference: Substituting Mouse Data for Human Data in Human Risk Factor Discovery
    Odhran O’Donoghue, Paul Duckworth, Giuseppe Ughi, Linus Scheibenreif, Kia Khezeli, Adrienne Hoarfrost, Samuel Budd, Patrick Foley, Nicholas Chia, John Kalantari, Graham Mackintosh, Frank Soboczenski, Lauren Sanders
    http://arxiv.org/abs/2111.07348v1

    • [cs.LG]Iterative Training: Finding Binary Weight Deep Neural Networks with Layer Binarization
    Cheng-Chou Lan
    http://arxiv.org/abs/2111.07046v1

    • [cs.LG]Joint Synthesis of Safety Certificate and Safe Control Policy using Constrained Reinforcement Learning
    Haitong Ma, Changliu Liu, Shengbo Eben Li, Sifa Zheng, Jianyu Chen
    http://arxiv.org/abs/2111.07695v1

    • [cs.LG]Learning Data Teaching Strategies Via Knowledge Tracing
    Ghodai Abdelrahman, Qing Wang
    http://arxiv.org/abs/2111.07083v1

    • [cs.LG]Learning Neural Models for Continuous-Time Sequences
    Vinayak Gupta
    http://arxiv.org/abs/2111.07189v1

    • [cs.LG]Learning Representations for Pixel-based Control: What Matters and Why?
    Manan Tomar, Utkarsh A. Mishra, Amy Zhang, Matthew E. Taylor
    http://arxiv.org/abs/2111.07775v1

    • [cs.LG]Learning to Evolve on Dynamic Graphs
    Xintao Xiang, Tiancheng Huang, Donglin Wang
    http://arxiv.org/abs/2111.07032v1

    • [cs.LG]LoMEF: A Framework to Produce Local Explanations for Global Model Time Series Forecasts
    Dilini Rajapaksha, Christoph Bergmeir, Rob J Hyndman
    http://arxiv.org/abs/2111.07001v1

    • [cs.LG]MC-CIM: Compute-in-Memory with Monte-Carlo Dropouts for Bayesian Edge Intelligence
    Priyesh Shukla, Shamma Nasrin, Nastaran Darabi, Wilfred Gomes, Amit Ranjan Trivedi
    http://arxiv.org/abs/2111.07125v1

    • [cs.LG]Mean-based Best Arm Identification in Stochastic Bandits under Reward Contamination
    Arpan Mukherjee, Ali Tajer, Pin-Yu Chen, Payel Das
    http://arxiv.org/abs/2111.07458v1

    • [cs.LG]Measuring the Contribution of Multiple Model Representations in Detecting Adversarial Instances
    Daniel Steinberg, Paul Munro
    http://arxiv.org/abs/2111.07035v1

    • [cs.LG]Memotion Analysis through the Lens of Joint Embedding
    Nethra Gunti, Sathyanarayanan Ramamoorthy, Parth Patwa, Amitava Das
    http://arxiv.org/abs/2111.07074v1

    • [cs.LG]Mitigating Divergence of Latent Factors via Dual Ascent for Low Latency Event Prediction Models
    Alex Shtoff, Yair Koren
    http://arxiv.org/abs/2111.07866v1

    • [cs.LG]NeuralPDE: Modelling Dynamical Systems from Data
    Andrzej Dulny, Andreas Hotho, Anna Krause
    http://arxiv.org/abs/2111.07671v1

    • [cs.LG]Nyström Regularization for Time Series Forecasting
    Zirui Sun, Mingwei Dai, Yao Wang, Shao-Bo Lin
    http://arxiv.org/abs/2111.07109v1

    • [cs.LG]On the Tradeoff between Energy, Precision, and Accuracy in Federated Quantized Neural Networks
    Minsu Kim, Walid Saad, Mohammad Mozaffari, Merouane Debbah
    http://arxiv.org/abs/2111.07911v1

    • [cs.LG]Power Allocation for Wireless Federated Learning using Graph Neural Networks
    Boning Li, Ananthram Swami, Santiago Segarra
    http://arxiv.org/abs/2111.07480v1

    • [cs.LG]Predictive coding, precision and natural gradients
    Andre Ofner, Raihan Kabir Ratul, Suhita Ghosh, Sebastian Stober
    http://arxiv.org/abs/2111.06942v1

    • [cs.LG]Progress in Self-Certified Neural Networks
    Maria Perez-Ortiz, Omar Rivasplata, Emilio Parrado-Hernandez, Benjamin Guedj, John Shawe-Taylor
    http://arxiv.org/abs/2111.07737v1

    • [cs.LG]Public Policymaking for International Agricultural Trade using Association Rules and Ensemble Machine Learning
    Feras A. Batarseh, Munisamy Gopinath, Anderson Monken, Zhengrong Gu
    http://arxiv.org/abs/2111.07508v1

    • [cs.LG]ReLU Network Approximation in Terms of Intrinsic Parameters
    Zuowei Shen, Haizhao Yang, Shijun Zhang
    http://arxiv.org/abs/2111.07964v1

    • [cs.LG]Safe Online Convex Optimization with Unknown Linear Safety Constraints
    Sapana Chaudhary, Dileep Kalathil
    http://arxiv.org/abs/2111.07430v1

    • [cs.LG]Scalable Diverse Model Selection for Accessible Transfer Learning
    Daniel Bolya, Rohit Mittapalli, Judy Hoffman
    http://arxiv.org/abs/2111.06977v1

    • [cs.LG]Skillful Twelve Hour Precipitation Forecasts using Large Context Neural Networks
    Lasse Espeholt, Shreya Agrawal, Casper Sønderby, Manoj Kumar, Jonathan Heek, Carla Bromberg, Cenk Gazen, Jason Hickey, Aaron Bell, Nal Kalchbrenner
    http://arxiv.org/abs/2111.07470v1

    • [cs.LG]Soft Sensing Model Visualization: Fine-tuning Neural Network from What Model Learned
    Xiaoye Qian, Chao Zhang, Jaswanth Yella, Yu Huang, Ming-Chun Huang, Sthitie Bom
    http://arxiv.org/abs/2111.06982v1

    • [cs.LG]Soft-Sensing ConFormer: A Curriculum Learning-based Convolutional Transformer
    Jaswanth Yella, Chao Zhang, Sergei Petrov, Yu Huang, Xiaoye Qian, Ali A. Minai, Sthitie Bom
    http://arxiv.org/abs/2111.06981v1

    • [cs.LG]Spectral Transform Forms Scalable Transformer
    Bingxin Zhou, Xinliang Liu, Yuehua Liu, Yunying Huang, Pietro Liò, YuGuang Wang
    http://arxiv.org/abs/2111.07602v1

    • [cs.LG]Target Layer Regularization for Continual Learning Using Cramer-Wold Generator
    Marcin Mazur, Łukasz Pustelnik, Szymon Knop, Patryk Pagacz, Przemysław Spurek
    http://arxiv.org/abs/2111.07928v1

    • [cs.LG]Towards One Shot Search Space Poisoning in Neural Architecture Search
    Nayan Saxena, Robert Wu, Rohan Jain
    http://arxiv.org/abs/2111.07138v1

    • [cs.LG]Versatile Inverse Reinforcement Learning via Cumulative Rewards
    Niklas Freymuth, Philipp Becker, Gerhard Neumann
    http://arxiv.org/abs/2111.07667v1

    • [cs.MA]Posetal Games: Efficiency, Existence, and Refinement of Equilibria in Games with Prioritized Metrics
    Alessandro Zanardi, Gioele Zardini, Sirish Srinivasan, Saverio Bolognani, Andrea Censi, Florian Dörfler, Emilio Frazzoli
    http://arxiv.org/abs/2111.07099v1

    • [cs.MA]What Should We Optimize in Participatory Budgeting? An Experimental Study
    Ariel Rosenfeld, Nimrod Talmon
    http://arxiv.org/abs/2111.07308v1

    • [cs.NE]A Data Quarantine Model to Secure Data in Edge Computing
    Poornima Mahadevappa, Raja Kumar Murugesan
    http://arxiv.org/abs/2111.07672v1

    • [cs.NE]Evolving Deep Neural Networks for Collaborative Filtering
    Yuhan Fang, Yuqiao Liu, Yanan Sun
    http://arxiv.org/abs/2111.07758v1

    • [cs.NE]Quadratic speedup of global search using a biased crossover of two good solutions
    Takuya Isomura
    http://arxiv.org/abs/2111.07680v1

    • [cs.NE]Spiking CapsNet: A Spiking Neural Network With A Biologically Plausible Routing Rule Between Capsules
    Dongcheng Zhao, Yang Li, Yi Zeng, Jihang Wang, Qian Zhang
    http://arxiv.org/abs/2111.07785v1

    • [cs.NI]Edge-Native Intelligence for 6G Communications Driven by Federated Learning: A Survey of Trends and Challenges
    Mohammad Al-Quraan, Lina Mohjazi, Lina Bariah, Anthony Centeno, Ahmed Zoha, Sami Muhaidat, Mérouane Debbah, Muhammad Ali Imran
    http://arxiv.org/abs/2111.07392v1

    • [cs.NI]Networking of Internet of UAVs: Challenges and Intelligent Approaches
    Peng Yang, Xianbin Cao, Tony Q. S. Quek, Dapeng Oliver Wu
    http://arxiv.org/abs/2111.07078v1

    • [cs.NI]Optimizing Unlicensed Coexistence Network Performance Through Data Learning
    Srikant Manas Kala, Vanlin Sathya, Kunal Dahiya, Teruo Higashino, Hirozumi Yamaguchi
    http://arxiv.org/abs/2111.07583v1

    • [cs.NI]RLOps: Development Life-cycle of Reinforcement Learning Aided Open RAN
    Peizheng Li, Jonathan Thomas, Xiaoyang Wang, Ahmed Khalil, Abdelrahim Ahmad, Rui Inacio, Shipra Kapoor, Arjun Parekh, Angela Doufexi, Arman Shojaeifard, Robert Piechocki
    http://arxiv.org/abs/2111.06978v1

    • [cs.RO]A Finite-Sampling, Operational Domain Specific, and Provably Unbiased Connected and Automated Vehicle Safety Metric
    Bowen Weng, Linda Capito, Umit Ozguner, Keith Redmill
    http://arxiv.org/abs/2111.07769v1

    • [cs.RO]A distributed, plug-n-play algorithm for multi-robot applications with a priori non-computable objective functions
    Athanasios Ch. Kapoutsis, Savvas A. Chatzichristofis, Elias B. Kosmatopoulos
    http://arxiv.org/abs/2111.07441v1

    • [cs.RO]ARC Nav — A 3D Navigation Stack for Autonomous Robots
    Vishwas N. S, Srikrishna B. R, Sudarshan T. S. B
    http://arxiv.org/abs/2111.06923v1

    • [cs.RO]Agile Satellite Planning for Multi-Payload Observations for Earth Science
    Rich Levinson, Sreeja Nag, Vinay Ravindra
    http://arxiv.org/abs/2111.07042v1

    • [cs.RO]An Adaptive Framework for Reliable Trajectory Following in Changing-Contact Robot Manipulation Tasks
    Saif Sidhik, Mohan Sridharan, Dirk Ruiken
    http://arxiv.org/abs/2111.07753v1

    • [cs.RO]Autonomous UAV for Building Monitoring, Detection and Localisation of Faults
    Suhas Thalanki, T Vijay Prashant, Harshith Kumar M B, Shayak Bhadraray, Aravind S, Srikrishna BR, Sameer Dhole
    http://arxiv.org/abs/2111.07166v1

    • [cs.RO]Finite State Markov Modeling of C-V2X Erasure Links For Performance and Stability Analysis of Platooning Applications
    Mahdi Razzaghpour, Adwait Datar, Daniel Schneider, Mahdi Zaman, Herbert Werner, Hannes Frey, Javad Mohammadpour Velni, Yaser P. Fallah
    http://arxiv.org/abs/2111.07173v1

    • [cs.RO]Gaussian Process based Stochastic Model Predictive Control for Cooperative Adaptive Cruise Control
    Sahand Mosharafian, Mahdi Razzaghpour, Yaser P. Fallah, Javad Mohammadpour Velni
    http://arxiv.org/abs/2111.07162v1

    • [cs.RO]Learning Multi-Stage Tasks with One Demonstration via Self-Replay
    Norman Di Palo, Edward Johns
    http://arxiv.org/abs/2111.07447v1

    • [cs.RO]Learning a Shared Model for Motorized Prosthetic Joints to Predict Ankle-Joint Motion
    Sharmita Dey, Sabri Boughorbel, Arndt F. Schilling
    http://arxiv.org/abs/2111.07419v1

    • [cs.RO]Lifelong Vehicle Trajectory Prediction Framework Based on Generative Replay
    Peng Bao, Zonghai Chen, Jikai Wang, Deyun Dai, Hao Zhao
    http://arxiv.org/abs/2111.07511v1

    • [cs.RO]Methods for Combining and Representing Non-Contextual Autonomy Scores for Unmanned Aerial Systems
    Brendan Hertel, Ryan Donald, Christian Dumas, S. Reza Ahmadzadeh
    http://arxiv.org/abs/2111.07438v1

    • [cs.RO]Nonprehensile Riemannian Motion Predictive Control
    Hamid Izadinia, Byron Boots, Steven M. Seitz
    http://arxiv.org/abs/2111.07986v1

    • [cs.RO]Observation Contribution Theory for Pose Estimation Accuracy
    Zeyu Wan, Yu Zhang, Bin He, Zhuofan Cui, Weichen Dai, Lipu Zhou, Guoquan Huang
    http://arxiv.org/abs/2111.07723v1

    • [cs.RO]Obstacle Avoidance for UAS in Continuous Action Space Using Deep Reinforcement Learning
    Jueming Hu, Xuxi Yang, Weichang Wang, Peng Wei, Lei Ying, Yongming Liu
    http://arxiv.org/abs/2111.07037v1

    • [cs.RO]PatchGraph: In-hand tactile tracking with learned surface normals
    Paloma Sodhi, Michael Kaess, Mustafa Mukadam, Stuart Anderson
    http://arxiv.org/abs/2111.07524v1

    • [cs.RO]Provably Robust & Efficient Multi-Robot Trajectory Generation Using Alternating Direction Method of Multiplier
    Ruiqi Ni, Zherong Pan, Xifeng Gao
    http://arxiv.org/abs/2111.07016v1

    • [cs.RO]Semantically Grounded Object Matching for Robust Robotic Scene Rearrangement
    Walter Goodwin, Sagar Vaze, Ioannis Havoutis, Ingmar Posner
    http://arxiv.org/abs/2111.07975v1

    • [cs.SD]Metric-based multimodal meta-learning for human movement identification via footstep recognition
    Muhammad Shakeel, Katsutoshi Itoyama, Kenji Nishida, Kazuhiro Nakadai
    http://arxiv.org/abs/2111.07979v1

    • [cs.SD]Speech Emotion Recognition Using Deep Sparse Auto-Encoder Extreme Learning Machine with a New Weighting Scheme and Spectro-Temporal Features Along with Classical Feature Selection and A New Quantum-Inspired Dimension Reduction Method
    Fatemeh Daneshfar, Seyed Jahanshah Kabudian
    http://arxiv.org/abs/2111.07094v1

    • [cs.SE]Choose Your Programming Copilot: A Comparison of the Program Synthesis Performance of GitHub Copilot and Genetic Programming
    Dominik Sobania, Martin Briesch, Franz Rothlauf
    http://arxiv.org/abs/2111.07875v1

    • [cs.SE]FACOS: Finding API Relevant Contents on Stack Overflow with Semantic and Syntactic Analysis
    Kien Luong, Mohammad Hadi, Ferdian Thung, Fatemeh Fard, David Lo
    http://arxiv.org/abs/2111.07238v1

    • [cs.SI]Adaptive Similarity Function with Structural Features of Network Embedding for Missing Link Prediction
    Chuanting Zhang, Ke-ke Shang, Jingping Qiao
    http://arxiv.org/abs/2111.07027v1

    • [cs.SI]Analyzing the Behavior and Financial Status of Soccer Fans from a Mobile Phone Network Perspective: Euro 2016, a Case Study
    Gergő Pintér, Imre Felde
    http://arxiv.org/abs/2111.07685v1

    • [cs.SI]Distribution-Free Models for Community Detection
    Huan Qing
    http://arxiv.org/abs/2111.07495v1

    • [cs.SI]Social Media for Emergency Rescue: An Analysis of Rescue Requests on Twitter during Hurricane Harvey
    Lei Zou, Danqing Liao, Nina S. N. Lam, Michelle Meyer, Nasir G. Gharaibeh, Heng Cai, Bing Zhou, Dongying Li
    http://arxiv.org/abs/2111.07187v1

    • [econ.EM]An Outcome Test of Discrimination for Ranked Lists
    Jonathan Roth, Guillaume Saint-Jacques, YinYin Yu
    http://arxiv.org/abs/2111.07889v1

    • [econ.EM]Asymmetric Conjugate Priors for Large Bayesian VARs
    Joshua C. C. Chan
    http://arxiv.org/abs/2111.07170v1

    • [econ.EM]Large Order-Invariant Bayesian VARs with Stochastic Volatility
    Joshua C. C. Chan, Gary Koop, Xuewen Yu
    http://arxiv.org/abs/2111.07225v1

    • [eess.AS]Meta-Voice: Fast few-shot style transfer for expressive voice cloning using meta learning
    Songxiang Liu, Dan Su, Dong Yu
    http://arxiv.org/abs/2111.07218v1

    • [eess.IV]A strong baseline for image and video quality assessment
    Shaoguo Wen, Junle Wang
    http://arxiv.org/abs/2111.07104v1

    • [eess.IV]Deep Joint Demosaicing and High Dynamic Range Imaging within a Single Shot
    Yilun Xu, Ziyang Liu, Xingming Wu, Weihai Chen, Changyun Wen, Zhengguo Li
    http://arxiv.org/abs/2111.07281v1

    • [eess.IV]Estimation of Acetabular Version from Anteroposterior Pelvic Radiograph Employing Deep Learning
    Ata Jodeiri, Hadi Seyedarabi, Fatemeh Shahbazi, Seyed Mohammad Mahdi Hashemi, Seyyedhossein Shafiei
    http://arxiv.org/abs/2111.07369v1

    • [eess.IV]Fracture Detection in Wrist X-ray Images Using Deep Learning-Based Object Detection Models
    Fırat Hardalaç, Fatih Uysal, Ozan Peker, Murat Çiçeklidağ, Tolga Tolunay, Nil Tokgöz, Uğurhan Kutbay, Boran Demirciler, Fatih Mert
    http://arxiv.org/abs/2111.07355v1

    • [eess.IV]Improving the Otsu Thresholding Method of Global Binarization Using Ring Theory for Ultrasonographies of Congestive Heart Failure
    Alisa Rahim, Esley Torres
    http://arxiv.org/abs/2111.07031v1

    • [eess.IV]Moment Transform-Based Compressive Sensing in Image Processing
    T. Kalampokas, G. A. Papakostas
    http://arxiv.org/abs/2111.07254v1

    • [eess.IV]Pseudo-domains in imaging data improve prediction of future disease status in multi-center studies
    Matthias Perkonigg, Peter Mesenbrink, Alexander Goehler, Miljen Martic, Ahmed Ba-Ssalamah, Georg Langs
    http://arxiv.org/abs/2111.07634v1

    • [eess.IV]SDnDTI: Self-supervised deep learning-based denoising for diffusion tensor MRI
    Qiyuan Tian, Ziyu Li, Qiuyun Fan, Jonathan R. Polimeni, Berkin Bilgic, David H. Salat, Susie Y. Huang
    http://arxiv.org/abs/2111.07220v1

    • [eess.IV]T-AutoML: Automated Machine Learning for Lesion Segmentation using Transformers in 3D Medical Imaging
    Dong Yang, Andriy Myronenko, Xiaosong Wang, Ziyue Xu, Holger R. Roth, Daguang Xu
    http://arxiv.org/abs/2111.07535v1

    • [eess.SP]Machine Learning for CSI Recreation Based on Prior Knowledge
    Brenda Vilas Boas, Wolfgang Zirwas, Martin Haardt
    http://arxiv.org/abs/2111.07854v1

    • [eess.SP]On Sparse High-Dimensional Graphical Model Learning For Dependent Time Series
    Jitendra K. Tugnait
    http://arxiv.org/abs/2111.07897v1

    • [eess.SP]The Pseudo Projection Operator: Applications of Deep Learning to Projection Based Filtering in Non-Trivial Frequency Regimes
    Matthew L. Weiss, Nathan C. Frey, Siddharth Samsi, Randy C. Paffenroth, Vijay Gadepally
    http://arxiv.org/abs/2111.07140v1

    • [eess.SP]Transfer Learning Capabilities of Untrained Neural Networks for MIMO CSI Recreation
    Brenda Vilas Boas, Wolfgang Zirwas, Martin Haardt
    http://arxiv.org/abs/2111.07858v1

    • [eess.SP]Vision-Position Multi-Modal Beam Prediction Using Real Millimeter Wave Datasets
    Gouranga Charan, Tawfik Osman, Andrew Hredzak, Ngwe Thawdar, Ahmed Alkhateeb
    http://arxiv.org/abs/2111.07574v1

    • [eess.SY]Deep Reinforcement Learning with Shallow Controllers: An Experimental Application to PID Tuning
    Nathan P. Lawrence, Michael G. Forbes, Philip D. Loewen, Daniel G. McClement, Johan U. Backstrom, R. Bhushan Gopaluni
    http://arxiv.org/abs/2111.07171v1

    • [eess.SY]Dynamic Placement of Rapidly Deployable Mobile Sensor Robots Using Machine Learning and Expected Value of Information
    Alice Agogino, Hae Young Jang, Vivek Rao, Ritik Batra, Felicity Liao, Rohan Sood, Irving Fang, R. Lily Hu, Emerson Shoichet-Bartus, John Matranga
    http://arxiv.org/abs/2111.07552v1

    • [eess.SY]Reachability analysis of neural networks using mixed monotonicity
    Pierre-Jean Meyer
    http://arxiv.org/abs/2111.07683v1

    • [eess.SY]Relative Distributed Formation and Obstacle Avoidance with Multi-agent Reinforcement Learning
    Yuzi Yan, Xiaoxiang Li, Xinyou Qiu, Jiantao Qiu, Jian Wang, Yu Wang, Yuan Shen
    http://arxiv.org/abs/2111.07334v1

    • [eess.SY]Reliably-stabilizing piecewise-affine neural network controllers
    Filippo Fabiani, Paul J. Goulart
    http://arxiv.org/abs/2111.07183v1

    • [eess.SY]Short-Term Power Prediction for Renewable Energy Using Hybrid Graph Convolutional Network and Long Short-Term Memory Approach
    Wenlong Liao, Birgitte Bak-Jensen, Jayakrishnan Radhakrishna Pillai, Zhe Yang, Kuangpu Liu
    http://arxiv.org/abs/2111.07958v1

    • [math.NA]Deep Learning in High Dimension: Neural Network Approximation of Analytic Functions in 今日学术视野(2021.11.17) - 图7#card=math&code=L%5E2%28%5Cmathbb%7BR%7D%5Ed%2C%CE%B3d%29&id=Afi30)
    _Christoph Schwab, Jakob Zech
    http://arxiv.org/abs/2111.07080v1

    • [math.OC]Adversarially Robust Learning for Security-Constrained Optimal Power Flow
    Priya L. Donti, Aayushya Agarwal, Neeraj Vijay Bedmutha, Larry Pileggi, J. Zico Kolter
    http://arxiv.org/abs/2111.06961v1

    • [math.OC]Orthounimodal Distributionally Robust Optimization: Representation, Computation and Multivariate Extreme Event Applications
    Henry Lam, Zhenyuan Liu, Xinyu Zhang
    http://arxiv.org/abs/2111.07894v1

    • [math.OC]Simultaneously Achieving Sublinear Regret and Constraint Violations for Online Convex Optimization with Time-varying Constraints
    Qingsong Liu, Wenfei Wu, Longbo Huang, Zhixuan Fang
    http://arxiv.org/abs/2111.07707v1

    • [math.ST]Axiomatic characterization of the 今日学术视野(2021.11.17) - 图8 dissimilarity measure
    Denis Bouyssou, Thierry Marchant, Marc Pirlot
    http://arxiv.org/abs/2111.07617v1

    • [math.ST]Joint FCLT for the Sample Quantile and Measures of Dispersion for Functionals of Mixing Processes
    Marcel Bräutigam, Marie Kratz
    http://arxiv.org/abs/2111.07650v1

    • [math.ST]Minimax Optimal Regression over Sobolev Spaces via Laplacian Eigenmaps on Neighborhood Graphs
    Alden Green, Sivaraman Balakrishnan, Ryan J. Tibshirani
    http://arxiv.org/abs/2111.07394v1

    • [math.ST]Minimax Supervised Clustering in the Anisotropic Gaussian Mixture Model: A new take on Robust Interpolation
    Stanislav Minsker, Mohamed Ndaoud, Yiqiu Shen
    http://arxiv.org/abs/2111.07041v1

    • [nucl-th]Three-body renormalization group limit cycles based on unsupervised feature learning
    Bastian Kaspschak, Ulf-G. Meißner
    http://arxiv.org/abs/2111.07820v1

    • [physics.ao-ph]Distribution and Determinants of Correlation between PM2.5 and O3 in China Mainland: Dynamitic simil-Hu Lines
    Chenru Chen, Miaoqing Xu, Shuyi Liu, Dehai Zhu, Jianyu Yang, Bingbo Gao, Ziyue Chen
    http://arxiv.org/abs/2111.07052v1

    • [physics.geo-ph]Deep-Learning Inversion Method for the Interpretation of Noisy Logging-While-Drilling Resistivity Measurements
    Kyubo Noh, David Pardo, Carlos Torres-Verdin
    http://arxiv.org/abs/2111.07490v1

    • [physics.soc-ph]The ubiquitous efficiency of going further: how street networks affect travel speed
    Gabriel L. Maia, Caio Ponte, Carlos Caminha, Lara Furtado, Hygor P. M. Melo, Vasco Furtado
    http://arxiv.org/abs/2111.07801v1

    • [q-bio.NC]Neural Population Geometry Reveals the Role of Stochasticity in Robust Perception
    Joel Dapello, Jenelle Feather, Hang Le, Tiago Marques, David D. Cox, Josh H. McDermott, James J. DiCarlo, SueYeon Chung
    http://arxiv.org/abs/2111.06979v1

    • [q-bio.NC]Neural optimal feedback control with local learning rules
    Johannes Friedrich, Siavash Golkar, Shiva Farashahi, Alexander Genkin, Anirvan M. Sengupta, Dmitri B. Chklovskii
    http://arxiv.org/abs/2111.06920v1

    • [q-bio.PE]When can we reconstruct the ancestral state? A unified theory
    Lam Si Tung Ho, Vu Dinh
    http://arxiv.org/abs/2111.07445v1

    • [q-bio.QM]Quasifibrations of Graphs to Find Symmetries in Biological Networks
    Paolo Boldi, Ian Leifer, Hernán A. Makse
    http://arxiv.org/abs/2111.06999v1

    • [q-fin.CP]Deep Hedging: Learning to Remove the Drift under Trading Frictions with Minimal Equivalent Near-Martingale Measures
    Hans Buehler, Phillip Murray, Mikko S. Pakkanen, Ben Wood
    http://arxiv.org/abs/2111.07844v1

    • [quant-ph]Finite Rate QLDPC-GKP Coding Scheme that Surpasses the CSS Hamming Bound
    Nithin Raveendran, Narayanan Rengaswamy, Filip Rozpędek, Ankur Raina, Liang Jiang, Bane Vasić
    http://arxiv.org/abs/2111.07029v1

    • [quant-ph]Stochastic Gradient Line Bayesian Optimization: Reducing Measurement Shots in Optimizing Parameterized Quantum Circuits
    Shiro Tamiya, Hayata Yamasaki
    http://arxiv.org/abs/2111.07952v1

    • [stat.AP]A Statistical Approach to Surface Metrology for 3D-Printed Stainless Steel
    Chris. J. Oates, Wilfrid S. Kendall, Liam Fleming
    http://arxiv.org/abs/2111.07745v1

    • [stat.AP]Bayesian modelling and computation utilising cycles in multiple network data
    Anastasia Mantziou, Robin Mitra, Simon Lunagomez
    http://arxiv.org/abs/2111.07840v1

    • [stat.AP]Correlation Improves Group Testing
    Jiayue Wan, Yujia Zhang, Peter I. Frazier
    http://arxiv.org/abs/2111.07517v1

    • [stat.AP]Detecting Differences Between Correlation-Matrix Populations due to Single-variable Perturbations, with Application to Resting State fMRI
    Itamar Faran, Michael Peer, Shahar Arzy, Yuval Benjamini
    http://arxiv.org/abs/2111.07444v1

    • [stat.AP]Overview and Introduction to Development of Non-Ergodic Earthquake Ground-Motion Models
    Grigorios Lavrentiadis, Norman A. Abrahamson, Kuehn M. Nicolas, Yousef Bozorgnia, Christine A. Goulet, Anže Babič, Jorge Macedo, Matjaž Dolšek, Nicholas Gregor, Albert R. Kottke, Maxime Lacour, Chenying Liu, Xiaofeng Meng, Van-Bang Phung, Chih-Hsuan Sung, Melanie Walling
    http://arxiv.org/abs/2111.07921v1

    • [stat.AP]Where to Drill Next? A Dual-Weighted Approach to Adaptive Optimal Design of Groundwater Surveys
    Mikkel B Lykkegaard, Tim J Dodwell
    http://arxiv.org/abs/2111.07670v1

    • [stat.CO]Simulating Diffusion Bridges with Score Matching
    Valentin De Bortoli, Arnaud Doucet, Jeremy Heng, James Thornton
    http://arxiv.org/abs/2111.07243v1

    • [stat.ME]A Hybrid EM Algorithm for Linear Two-Way Interactions with Missing Data
    Dale S. Kim
    http://arxiv.org/abs/2111.06998v1

    • [stat.ME]A Two-Dimensional Intrinsic Gaussian Markov Random Field for Blood Pressure Data
    Maria-Zafeiria Spyropoulou, James Bentham
    http://arxiv.org/abs/2111.07848v1

    • [stat.ME]A new class of spatial covariance functions generated by higher-order kernels
    Mohammad Ghorbani, Jorge Mateu
    http://arxiv.org/abs/2111.07870v1

    • [stat.ME]Absolute and Relative Bias in Eight Common Observational Study Designs: Evidence from a Meta-analysis
    Jelena Zurovaca, Thomas D. Cook, John Deke, Mariel M. Finucane, Duncan Chaplin, Jared S. Coopersmith, Michael Barna, Lauren Vollmer Forrow
    http://arxiv.org/abs/2111.06941v1

    • [stat.ME]Accounting for data heterogeneity in integrative analysis and prediction methods: An application to Chronic Obstructive Pulmonary Disease
    J. Butts, C. Wendt, R. Bowler, C. P. Hersh, Q. Long, L. Eberly, S. E. Safo
    http://arxiv.org/abs/2111.06962v1

    • [stat.ME]An Approach of Bayesian Variable Selection for Ultrahigh Dimensional Multivariate Regression
    Xiaotian Dai, Guifang Fu, Randall Reese, Shaofei Zhao, Zuofeng Shang
    http://arxiv.org/abs/2111.07878v1

    • [stat.ME]Analysis of stepped wedge cluster randomized trials in the presence of a time-varying treatment effect
    Avi Kenny, Emily Voldal, Fan Xia, Patrick J. Heagerty, James P. Hughes
    http://arxiv.org/abs/2111.07190v1

    • [stat.ME]Bayesian Inference and Partial Identification in Multi-Treatment Causal Inference with Unobserved Confounding
    Jiajing Zheng, Alexander D’Amour, Alexander Franks
    http://arxiv.org/abs/2111.07973v1

    • [stat.ME]Bayesian Knockoff Generators for Robust Inference Under Complex Data Structure
    Michael J. Martens, Anjishnu Banerjee, Xinran Qi, Yushu Shi
    http://arxiv.org/abs/2111.06985v1

    • [stat.ME]Evaluating Treatment Prioritization Rules via Rank-Weighted Average Treatment Effects
    Steve Yadlowsky, Scott Fleming, Nigam Shah, Emma Brunskill, Stefan Wager
    http://arxiv.org/abs/2111.07966v1

    • [stat.ME]Interquantile Shrinkage in Spatial Quantile Autoregressive Regression models
    Ping Dong, Jiawei Hou, Yunquan Song
    http://arxiv.org/abs/2111.07067v1

    • [stat.ME]Predicting Times to Event Based on Vine Copula Models
    Shenyi Pan, Harry Joe
    http://arxiv.org/abs/2111.07179v1

    • [stat.ME]Scalable Intervention Target Estimation in Linear Models
    Burak Varici, Karthikeyan Shanmugam, Prasanna Sattigeri, Ali Tajer
    http://arxiv.org/abs/2111.07512v1

    • [stat.ME]U-Statistics for Left Truncated and Right Censored Data
    Sudheesh, K. K., Anjana, S., Xie, M
    http://arxiv.org/abs/2111.07152v1

    • [stat.ME]drpop: Efficient and Doubly Robust Population Size Estimation in R
    Manjari Das, Edward H. Kennedy
    http://arxiv.org/abs/2111.07191v1

    • [stat.ML]Contrastive Representation Learning with Trainable Augmentation Channel
    Masanori Koyama, Kentaro Minami, Takeru Miyato, Yarin Gal
    http://arxiv.org/abs/2111.07679v1

    • [stat.ML]Decoding Causality by Fictitious VAR Modeling
    Xingwei Hu
    http://arxiv.org/abs/2111.07465v1

    • [stat.ML]Distribution Compression in Near-Linear Time
    Abhishek Shetty, Raaz Dwivedi, Lester Mackey
    http://arxiv.org/abs/2111.07941v1

    • [stat.ML]Fast Doubly-Adaptive MCMC to Estimate the Gibbs Partition Function with Weak Mixing Time Bounds
    Shahrzad Haddadan, Yue Zhuang, Cyrus Cousins, Eli Upfal
    http://arxiv.org/abs/2111.07372v1

    • [stat.ML]Improving usual Naive Bayes classifier performances with Neural Naive Bayes based models
    Elie Azeraf, Emmanuel Monfrini, Wojciech Pieczynski
    http://arxiv.org/abs/2111.07307v1

    • [stat.ML]On equivalence between linear-chain conditional random fields and hidden Markov chains
    Elie Azeraf, Emmanuel Monfrini, Wojciech Pieczynski
    http://arxiv.org/abs/2111.07376v1

    • [stat.ML]On the Statistical Benefits of Curriculum Learning
    Ziping Xu, Ambuj Tewari
    http://arxiv.org/abs/2111.07126v1

    • [stat.ML]Scrutinizing XAI using linear ground-truth data with suppressor variables
    Rick Wilming, Céline Budding, Klaus-Robert Müller, Stefan Haufe
    http://arxiv.org/abs/2111.07473v1

    • [stat.ML]Spectral learning of multivariate extremes
    Marco Avella Medina, Richard A. Davis, Gennady Samorodnitsky
    http://arxiv.org/abs/2111.07799v1

    • [stat.ML]The Three Stages of Learning Dynamics in High-Dimensional Kernel Methods
    Nikhil Ghosh, Song Mei, Bin Yu
    http://arxiv.org/abs/2111.07167v1