astro-ph.EP - 地球与行星天体
    astro-ph.GA - 星系天体物理学
    cs.AI - 人工智能
    cs.AR - 硬件体系结构
    cs.CL - 计算与语言
    cs.CR - 加密与安全
    cs.CV - 机器视觉与模式识别
    cs.CY - 计算与社会
    cs.DB - 数据库
    cs.DC - 分布式、并行与集群计算
    cs.FL - 形式语言与自动机理论
    cs.GR - 计算机图形学
    cs.HC - 人机接口
    cs.IR - 信息检索
    cs.IT - 信息论
    cs.LG - 自动学习
    cs.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.SI - 社交网络与信息网络
    econ.EM - 计量经济学
    eess.AS - 语音处理
    eess.IV - 图像与视频处理
    eess.SP - 信号处理
    eess.SY - 系统和控制
    hep-ph - 高能物理现象学
    math.GN - 一般拓扑学
    math.GT - 通用拓扑学
    math.NA - 数值分析
    math.OC - 优化与控制
    math.ST - 统计理论
    physics.ao-ph - 大气和海洋物理
    physics.app-ph - 应用物理
    physics.comp-ph - 计算物理学
    physics.med-ph - 医学物理学
    physics.optics - 光学
    q-bio.GN - 基因组学
    q-bio.NC - 神经元与认知
    q-fin.ST - 统计金融学
    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.EP]PGNets: Planet mass prediction using convolutional neural networks for radio continuum observations of protoplanetary disks
    • [astro-ph.GA]Weighing the Milky Way and Andromeda with Artificial Intelligence
    • [cs.AI]Asymptotics for Pull on the Complete Graph
    • [cs.AI]Easy Semantification of Bioassays
    • [cs.AI]Interval-valued q-Rung Orthopair Fuzzy Choquet Integral Operators and Its Application in Group Decision Making
    • [cs.AI]The Power of Communication in a Distributed Multi-Agent System
    • [cs.AR]A Highly Configurable Hardware/Software Stack for DNN Inference Acceleration
    • [cs.AR]BrainScaleS Large Scale Spike Communication using Extoll
    • [cs.CL]A Comparative Study of Transformers on Word Sense Disambiguation
    • [cs.CL]Adversarial Training for a Hybrid Approach to Aspect-Based Sentiment Analysis
    • [cs.CL]An Empirical Study of Topic Transition in Dialogue
    • [cs.CL]Automated Speech Scoring System Under The Lens: Evaluating and interpreting the linguistic cues for language proficiency
    • [cs.CL]Automatic Extraction of Medication Names in Tweets as Named Entity Recognition
    • [cs.CL]Bilingual Topic Models for Comparable Corpora
    • [cs.CL]Challenges in Developing LRs for Non-Scheduled Languages: A Case of Magahi
    • [cs.CL]Chemical Identification and Indexing in PubMed Articles via BERT and Text-to-Text Approaches
    • [cs.CL]Customer Sentiment Analysis using Weak Supervision for Customer-Agent Chat
    • [cs.CL]Generating Rich Product Descriptions for Conversational E-commerce Systems
    • [cs.CL]Improvement in Machine Translation with Generative Adversarial Networks
    • [cs.CL]Joint Modeling of Code-Switched and Monolingual ASR via Conditional Factorization
    • [cs.CL]KARL-Trans-NER: Knowledge Aware Representation Learning for Named Entity Recognition using Transformers
    • [cs.CL]Learning to Predict Persona Information forDialogue Personalization without Explicit Persona Description
    • [cs.CL]Minor changes make a difference: a case study on the consistency of UD-based dependency parsers
    • [cs.CL]Text Mining Drug/Chemical-Protein Interactions using an Ensemble of BERT and T5 Based Models
    • [cs.CL]Text classification problems via BERT embedding method and graph convolutional neural network
    • [cs.CL]Towards automatic identification of linguistic politeness in Hindi texts
    • [cs.CL]What Do You See in this Patient? Behavioral Testing of Clinical NLP Models
    • [cs.CR]Mitigating Adversarial Attacks by Distributing Different Copies to Different Users
    • [cs.CR]New Datasets for Dynamic Malware Classification
    • [cs.CR]Privacy-Preserving Decentralized Exchange Marketplaces
    • [cs.CR]Third-Party Hardware IP Assurance against Trojans through Supervised Learning and Post-processing
    • [cs.CV]360MonoDepth: High-Resolution 360° Monocular Depth Estimation
    • [cs.CV]A Dataset-Dispersion Perspective on Reconstruction Versus Recognition in Single-View 3D Reconstruction Networks
    • [cs.CV]A Face Recognition System’s Worst Morph Nightmare, Theoretically
    • [cs.CV]A Unified Pruning Framework for Vision Transformers
    • [cs.CV]ARTSeg: Employing Attention for Thermal images Semantic Segmentation
    • [cs.CV]ATS: Adaptive Token Sampling For Efficient Vision Transformers
    • [cs.CV]AdaViT: Adaptive Vision Transformers for Efficient Image Recognition
    • [cs.CV]Adaptive Gating for Single-Photon 3D Imaging
    • [cs.CV]Aerial Images Meet Crowdsourced Trajectories: A New Approach to Robust Road Extraction
    • [cs.CV]Affect-DML: Context-Aware One-Shot Recognition of Human Affect using Deep Metric Learning
    • [cs.CV]AirObject: A Temporally Evolving Graph Embedding for Object Identification
    • [cs.CV]Anonymization for Skeleton Action Recognition
    • [cs.CV]AssistSR: Affordance-centric Question-driven Video Segment Retrieval
    • [cs.CV]Attentive Prototypes for Source-free Unsupervised Domain Adaptive 3D Object Detection
    • [cs.CV]Automated Damage Inspection of Power Transmission Towers from UAV Images
    • [cs.CV]Automatic tracing of mandibular canal pathways using deep learning
    • [cs.CV]Boosting Discriminative Visual Representation Learning with Scenario-Agnostic Mixup
    • [cs.CV]CLIP Meets Video Captioners: Attribute-Aware Representation Learning Promotes Accurate Captioning
    • [cs.CV]CRIS: CLIP-Driven Referring Image Segmentation
    • [cs.CV]CT-block: a novel local and global features extractor for point cloud
    • [cs.CV]Camera Distortion-aware 3D Human Pose Estimation in Video with Optimization-based Meta-Learning
    • [cs.CV]ConDA: Unsupervised Domain Adaptation for LiDAR Segmentation via Regularized Domain Concatenation
    • [cs.CV]DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation
    • [cs.CV]DeDUCE: Generating Counterfactual Explanations Efficiently
    • [cs.CV]Deformable ProtoPNet: An Interpretable Image Classifier Using Deformable Prototypes
    • [cs.CV]DiffSDFSim: Differentiable Rigid-Body Dynamics With Implicit Shapes
    • [cs.CV]Diffusion Autoencoders: Toward a Meaningful and Decodable Representation
    • [cs.CV]EAGAN: Efficient Two-stage Evolutionary Architecture Search for GANs
    • [cs.CV]ESL: Event-based Structured Light
    • [cs.CV]EdiBERT, a generative model for image editing
    • [cs.CV]Equitable modelling of brain imaging by counterfactual augmentation with morphologically constrained 3D deep generative models
    • [cs.CV]FENeRF: Face Editing in Neural Radiance Fields
    • [cs.CV]FMD-cGAN: Fast Motion Deblurring using Conditional Generative Adversarial Networks
    • [cs.CV]Generative Convolution Layer for Image Generation
    • [cs.CV]HEAT: Holistic Edge Attention Transformer for Structured Reconstruction
    • [cs.CV]HRNET: AI on Edge for mask detection and social distancing
    • [cs.CV]Hallucinated Neural Radiance Fields in the Wild
    • [cs.CV]Hole-robust Wireframe Detection
    • [cs.CV]How Facial Features Convey Attention in Stationary Environments
    • [cs.CV]Human Imperceptible Attacks and Applications to Improve Fairness
    • [cs.CV]HyperStyle: StyleGAN Inversion with HyperNetworks for Real Image Editing
    • [cs.CV]Hyperspectral Image Segmentation based on Graph Processing over Multilayer Networks
    • [cs.CV]Image denoising by Super Neurons: Why go deep?
    • [cs.CV]In-Bed Human Pose Estimation from Unseen and Privacy-Preserving Image Domains
    • [cs.CV]Instance-wise Occlusion and Depth Orders in Natural Scenes
    • [cs.CV]Large-Scale Video Analytics through Object-Level Consolidation
    • [cs.CV]LatentHuman: Shape-and-Pose Disentangled Latent Representation for Human Bodies
    • [cs.CV]Learning Multiple Dense Prediction Tasks from Partially Annotated Data
    • [cs.CV]Leveraging The Topological Consistencies of Learning in Deep Neural Networks
    • [cs.CV]Low-light Image Enhancement via Breaking Down the Darkness
    • [cs.CV]MC-SSL0.0: Towards Multi-Concept Self-Supervised Learning
    • [cs.CV]MMPTRACK: Large-scale Densely Annotated Multi-camera Multiple People Tracking Benchmark
    • [cs.CV]MapReader: A Computer Vision Pipeline for the Semantic Exploration of Maps at Scale
    • [cs.CV]Morph Detection Enhanced by Structured Group Sparsity
    • [cs.CV]Multi-modal Text Recognition Networks: Interactive Enhancements between Visual and Semantic Features
    • [cs.CV]MultiPath++: Efficient Information Fusion and Trajectory Aggregation for Behavior Prediction
    • [cs.CV]NeRFReN: Neural Radiance Fields with Reflections
    • [cs.CV]NeeDrop: Self-supervised Shape Representation from Sparse Point Clouds using Needle Dropping
    • [cs.CV]NeuSample: Neural Sample Field for Efficient View Synthesis
    • [cs.CV]Neural Attention for Image Captioning: Review of Outstanding Methods
    • [cs.CV]PlantStereo: A Stereo Matching Benchmark for Plant Surface Dense Reconstruction
    • [cs.CV]Point Cloud Instance Segmentation with Semi-supervised Bounding-Box Mining
    • [cs.CV]PolyWorld: Polygonal Building Extraction with Graph Neural Networks in Satellite Images
    • [cs.CV]Probabilistic Estimation of 3D Human Shape and Pose with a Semantic Local Parametric Model
    • [cs.CV]Pyramid Adversarial Training Improves ViT Performance
    • [cs.CV]RADU: Ray-Aligned Depth Update Convolutions for ToF Data Denoising
    • [cs.CV]Reconstruction Student with Attention for Student-Teacher Pyramid Matching
    • [cs.CV]Regularized directional representations for medical image registration
    • [cs.CV]Revisiting Temporal Alignment for Video Restoration
    • [cs.CV]Robust 3D Garment Digitization from Monocular 2D Images for 3D Virtual Try-On Systems
    • [cs.CV]Robust Partial-to-Partial Point Cloud Registration in a Full Range
    • [cs.CV]SamplingAug: On the Importance of Patch Sampling Augmentation for Single Image Super-Resolution
    • [cs.CV]Seeking Salient Facial Regions for Cross-Database Micro-Expression Recognition
    • [cs.CV]Semi-Local Convolutions for LiDAR Scan Processing
    • [cs.CV]Semi-Supervised 3D Hand Shape and Pose Estimation with Label Propagation
    • [cs.CV]Shunted Self-Attention via Multi-Scale Token Aggregation
    • [cs.CV]SketchEdit: Mask-Free Local Image Manipulation with Partial Sketches
    • [cs.CV]Spatio-Temporal Multi-Flow Network for Video Frame Interpolation
    • [cs.CV]The Devil is in the Margin: Margin-based Label Smoothing for Network Calibration
    • [cs.CV]The MIS Check-Dam Dataset for Object Detection and Instance Segmentation Tasks
    • [cs.CV]TridentAdapt: Learning Domain-invariance via Source-Target Confrontation and Self-induced Cross-domain Augmentation
    • [cs.CV]Two-stage Temporal Modelling Framework for Video-based Depression Recognition using Graph Representation
    • [cs.CV]UBoCo : Unsupervised Boundary Contrastive Learning for Generic Event Boundary Detection
    • [cs.CV]Unsupervised Domain Adaptation: A Reality Check
    • [cs.CV]Unsupervised Domain Generalization for Person Re-identification: A Domain-specific Adaptive Framework
    • [cs.CV]Using a GAN to Generate Adversarial Examples to Facial Image Recognition
    • [cs.CV]Voint Cloud: Multi-View Point Cloud Representation for 3D Understanding
    • [cs.CV]ZZ-Net: A Universal Rotation Equivariant Architecture for 2D Point Clouds
    • [cs.CV]Zero-Shot Semantic Segmentation via Spatial and Multi-Scale Aware Visual Class Embedding
    • [cs.CV]ePose: Let’s Make EfficientPose More Generally Applicable
    • [cs.CY]Open Data and Quantitative Techniques for Anthropology of Road Traffic
    • [cs.DB]Anomaly Rule Detection in Sequence Data
    • [cs.DB]Bounding the Last Mile: Efficient Learned String Indexing
    • [cs.DB]US-Rule: Discovering Utility-driven Sequential Rules
    • [cs.DC]Communication-Efficient Federated Learning via Quantized Compressed Sensing
    • [cs.DC]Evaluating Blockchain Application Requirements and their Satisfaction in Hyperledger Fabric
    • [cs.DC]STRETCH: Virtual Shared-Nothing Parallelism for Scalable and Elastic Stream Processing
    • [cs.DC]Search by a Metamorphic Robotic System in a Finite 3D Cubic Grid
    • [cs.DC]Technical Report: Edge-centric Programming for IoT Applications with EdgeProg
    • [cs.DC]Thermal entropy based hesitant fuzzy linguistic term set analysis in energy efficient opportunistic clustering
    • [cs.DC]Verifying Transactional Consistency of MongoDB
    • [cs.FL]Undecidability in Finite Transducers, Defense Systems and Finite Substitutions
    • [cs.GR]GAN-CNMP: An Interactive Generative Drawing Tool
    • [cs.HC]Expressive Communication: A Common Framework for Evaluating Developments in Generative Models and Steering Interfaces
    • [cs.IR]Enhancing Keyphrase Extraction from Academic Articles with their Reference Information
    • [cs.IR]Georacle: Enabling Geospatially Aware Smart Contracts
    • [cs.IR]MISS: Multi-Interest Self-Supervised Learning Framework for Click-Through Rate Prediction
    • [cs.IT]A Combinatorial Approach to Flag Codes
    • [cs.IT]A Scheme of Channel Prediction Based on Artificial Neural Network
    • [cs.IT]A Secure Key Sharing Algorithm Exploiting Phase Reciprocity in Wireless Channels
    • [cs.IT]Clustering-Based Activity Detection Algorithms for Grant-Free Random Access in Cell-Free Massive MIMO
    • [cs.IT]Distributed Computation of A Posteriori Bit Likelihood Ratios in Cell-Free Massive MIMO
    • [cs.IT]Energy-Efficient Design for a NOMA assisted STAR-RIS Network with Deep Reinforcement Learning
    • [cs.IT]Non-Convex Recovery from Phaseless Low-Resolution Blind Deconvolution Measurements using Noisy Masked Patterns
    • [cs.IT]Outage and Finite-SNR DMT Analysis for IRS-aided MIMO Systems: How Large IRSs Need to Be?
    • [cs.IT]RadioWeaves for Extreme Spatial Multiplexing in Indoor Environments
    • [cs.IT]Real-Time CRLB based Antenna Selection in Planar Antenna Arrays
    • [cs.IT]Reconfigurable Intelligent Surface Optimization for Uplink Sparse Code Multiple Access
    • [cs.IT]Sequential Transmission Over Binary Asymmetric Channels With Feedback
    • [cs.LG]A Highly Effective Low-Rank Compression of Deep Neural Networks with Modified Beam-Search and Modified Stable Rank
    • [cs.LG]A novel data-driven algorithm to predict anomalous prescription based on patient’s feature set
    • [cs.LG]Adversarial Attacks in Cooperative AI
    • [cs.LG]Approximate Spectral Decomposition of Fisher Information Matrix for Simple ReLU Networks
    • [cs.LG]Architecture Matters: Investigating the Influence of Differential Privacy on Neural Network Design
    • [cs.LG]AugLiChem: Data Augmentation Library ofChemical Structures for Machine Learning
    • [cs.LG]AutoDrop: Training Deep Learning Models with Automatic Learning Rate Drop
    • [cs.LG]Automatic Synthesis of Diverse Weak Supervision Sources for Behavior Analysis
    • [cs.LG]Bayesian Optimization for auto-tuning GPU kernels
    • [cs.LG]Beyond Periodicity: Towards a Unifying Framework for Activations in Coordinate-MLPs
    • [cs.LG]Binary Independent Component Analysis via Non-stationarity
    • [cs.LG]Black box tests for algorithmic stability
    • [cs.LG]Breaking the Linear Iteration Cost Barrier for Some Well-known Conditional Gradient Methods Using MaxIP Data-structures
    • [cs.LG]CO-SNE: Dimensionality Reduction and Visualization for Hyperbolic Data
    • [cs.LG]Classification of animal sounds in a hyperdiverse rainforest using Convolutional Neural Networks
    • [cs.LG]Continuous Control With Ensemble Deep Deterministic Policy Gradients
    • [cs.LG]Deep Auto-encoder with Neural Response
    • [cs.LG]DeepAL: Deep Active Learning in Python
    • [cs.LG]Distribution Shift in Airline Customer Behavior during COVID-19
    • [cs.LG]Donut: Document Understanding Transformer without OCR
    • [cs.LG]Dynamic Inference
    • [cs.LG]Embedding Principle: a hierarchical structure of loss landscape of deep neural networks
    • [cs.LG]Energy-Efficient Inference on the Edge Exploiting TinyML Capabilities for UAVs
    • [cs.LG]Evaluation of Machine Learning Techniques for Forecast Uncertainty Quantification
    • [cs.LG]Exponentially Tilted Gaussian Prior for Variational Autoencoder
    • [cs.LG]FROB: Few-shot ROBust Model for Classification and Out-of-Distribution Detection
    • [cs.LG]Forecasting Daily COVID-19 Related Calls in VA Health Care System: Predictive Model Development
    • [cs.LG]Global Convergence Using Policy Gradient Methods for Model-free Markovian Jump Linear Quadratic Control
    • [cs.LG]Harnessing expressive capacity of Machine Learning modeling to represent complex coupling of Earth’s auroral space weather regimes
    • [cs.LG]Hierarchical Prototype Networks for Continual Graph Representation Learning
    • [cs.LG]Learning with Noisy Labels by Efficient Transition Matrix Estimation to Combat Label Miscorrection
    • [cs.LG]LossPlot: A Better Way to Visualize Loss Landscapes
    • [cs.LG]MAPLE: Microprocessor A Priori for Latency Estimation
    • [cs.LG]MOTIF: A Large Malware Reference Dataset with Ground Truth Family Labels
    • [cs.LG]Model-Free 今日学术视野(2021.12.2) - 图1 Synthesis via Adversarial Reinforcement Learning
    • [cs.LG]Molecular Attributes Transfer from Non-Parallel Data
    • [cs.LG]NeuralProphet: Explainable Forecasting at Scale
    • [cs.LG]Neuron with Steady Response Leads to Better Generalization
    • [cs.LG]On the Generalization of Agricultural Drought Classification from Climate Data
    • [cs.LG]Online Learning for Receding Horizon Control with Provable Regret Guarantees
    • [cs.LG]Optimizing High-Dimensional Physics Simulations via Composite Bayesian Optimization
    • [cs.LG]Path Integral Sampler: a stochastic control approach for sampling
    • [cs.LG]Privacy-Preserving Serverless Edge Learning with Decentralized Small Data
    • [cs.LG]Reinforcement Learning Algorithm for Traffic Steering in Heterogeneous Network
    • [cs.LG]The Geometric Occam’s Razor Implicit in Deep Learning
    • [cs.LG]TiWS-iForest: Isolation Forest in Weakly Supervised and Tiny ML scenarios
    • [cs.LG]Towards a comprehensive visualization of structure in data
    • [cs.LG]Trust the Critics: Generatorless and Multipurpose WGANs with Initial Convergence Guarantees
    • [cs.LG]gCastle: A Python Toolbox for Causal Discovery
    • [cs.LG]p2pGNN: A Decentralized Graph Neural Network for Node Classification in Peer-to-Peer Networks
    • [cs.NE]2D-Motion Detection using SNNs with Graphene-Insulator-Graphene Memristive Synapses
    • [cs.NI]DeepCQ+: Robust and Scalable Routing with Multi-Agent Deep Reinforcement Learning for Highly Dynamic Networks
    • [cs.NI]MAMRL: Exploiting Multi-agent Meta Reinforcement Learning in WAN Traffic Engineering
    • [cs.RO]Ankle Torque During Mid-Stance Does Not Lower Energy Requirements of Steady Gaits
    • [cs.RO]ColibriDoc: An Eye-in-Hand Autonomous Trocar Docking System
    • [cs.RO]Design and Control of a Recovery System for Legged Robots
    • [cs.RO]Fast and Real-time End to End Control in Autonomous Racing Cars Through Representation Learning
    • [cs.RO]LEGS: Learning Efficient Grasp Sets for Exploratory Grasping
    • [cs.RO]MIXER: A Principled Framework for Multimodal, Multiway Data Association
    • [cs.RO]Material Classification Using Active Temperature Controllable Robotic Gripper
    • [cs.RO]Metal Blossom: Laser Forming Complex and Freeform Metal Structures Imitating Flower Blooming
    • [cs.RO]RailLoMer: Rail Vehicle Localization and Mapping with LiDAR-IMU-Odometer-GNSS Data Fusion
    • [cs.RO]SAGCI-System: Towards Sample-Efficient, Generalizable, Compositional, and Incremental Robot Learning
    • [cs.RO]Transition Motion Tensor: A Data-Driven Approach for Versatile and Controllable Agents in Physically Simulated Environments
    • [cs.RO]WALK-VIO: Walking-motion-Adaptive Leg Kinematic Constraint Visual-Inertial Odometry for Quadruped Robots
    • [cs.SD]Catch Me If You Hear Me: Audio-Visual Navigation in Complex Unmapped Environments with Moving Sounds
    • [cs.SD]CycleTransGAN-EVC: A CycleGAN-based Emotional Voice Conversion Model with Transformer
    • [cs.SI]A Computational Social Science Approach to Understanding Predictors of Chafee Service Receipt
    • [cs.SI]A Sketch Based Game Theoretic Approach to Detect Anomalous Dense Sub-Communities in Large Data Streams
    • [cs.SI]COREATTACK: Breaking Up the Core Structure of Graphs
    • [cs.SI]Core but not peripheral online social ties is a protective factor against depression: evidence from a nationally representative sample of young adults
    • [cs.SI]Improving random walk rankings with feature selection and imputation
    • [cs.SI]Promises and Pitfalls of a New Early Warning System for Gentrification in Buffalo, NY
    • [cs.SI]Scalable Community Extraction of Text Networks for Automated Grouping in Medical Databases
    • [cs.SI]Δ-Conformity: Multi-scale Node Assortativity in Feature-rich Stream Graphs
    • [econ.EM]Modelling hetegeneous treatment effects by quantitle local polynomial decision tree and forest
    • [eess.AS]Do We Still Need Automatic Speech Recognition for Spoken Language Understanding?
    • [eess.IV]Assessment of Data Consistency through Cascades of Independently Recurrent Inference Machines for fast and robust accelerated MRI reconstruction
    • [eess.IV]Contrastive Learning for Local and Global Learning MRI Reconstruction
    • [eess.IV]Fully Automatic Deep Learning Framework for Pancreatic Ductal Adenocarcinoma Detection on Computed Tomography
    • [eess.IV]High-Speed Light Focusing through Scattering Medium by Cooperatively Accelerated Genetic Algorithm
    • [eess.IV]Improving the Segmentation of Pediatric Low-Grade Gliomas through Multitask Learning
    • [eess.IV]Localized Perturbations For Weakly-Supervised Segmentation of Glioma Brain Tumours
    • [eess.SP]Generating gapless land surface temperature with a high spatio-temporal resolution by fusing multi-source satellite-observed and model-simulated data
    • [eess.SY]A Natural Language Processing and Deep Learning based Model for Automated Vehicle Diagnostics using Free-Text Customer Service Reports
    • [eess.SY]Double Fuzzy Probabilistic Interval Linguistic Term Set and a Dynamic Fuzzy Decision Making Model based on Markov Process with tts Application in Multiple Criteria Group Decision Making
    • [hep-ph]Studying Hadronization by Machine Learning Techniques
    • [math.GN]Homomorphic encoders of profinite abelian groups II
    • [math.GT]The signature and cusp geometry of hyperbolic knots
    • [math.NA]Rigorous data-driven computation of spectral properties of Koopman operators for dynamical systems
    • [math.OC]An Exact Algorithm for Semi-supervised Minimum Sum-of-Squares Clustering
    • [math.OC]Asymptotically Optimal Sampling Policy for Selecting Top-m Alternatives
    • [math.OC]Efficient and robust high-dimensional sparse logistic regression via nonlinear primal-dual hybrid gradient algorithms
    • [math.OC]Survey Descent: A Multipoint Generalization of Gradient Descent for Nonsmooth Optimization
    • [math.ST]A Fast Non-parametric Approach for Causal Structure Learning in Polytrees
    • [math.ST]Center-Outward Sign- and Rank-Based Quadrant, Spearman, and Kendall Tests for Multivariate Independence
    • [math.ST]Linear functional estimation under multiplicative measurement errors
    • [math.ST]Parameter estimation for an Ornstein-Uhlenbeck Process driven by a general Gaussian noise with Hurst Parameter 今日学术视野(2021.12.2) - 图2#card=math&code=H%5Cin%20%280%2C%5Cfrac12%29&id=PUBeq)
    • [physics.ao-ph]Surrogate-based optimization using an artificial neural network for a parameter identification in a 3D marine ecosystem model
    • [physics.app-ph]HyperPCA: a Powerful Tool to Extract Elemental Maps from Noisy Data Obtained in LIBS Mapping of Materials
    • [physics.comp-ph]Learning Large-Time-Step Molecular Dynamics with Graph Neural Networks
    • [physics.med-ph]Robust and Automated Method for Spike Detection and Removal in Magnetic Resonance Imaging
    • [physics.med-ph]X-ray Dissectography Enables Stereotography to Improve Diagnostic Performance
    • [physics.optics]Playing Ping Pong with Light: Directional Emission of White Light
    • [physics.optics]Sparse deep computer-generated holography for optical microscopy
    • [q-bio.GN]SurvODE: Extrapolating Gene Expression Distribution for Early Cancer Identification
    • [q-bio.NC]Emotions as abstract evaluation criteria in biological and artificial intelligences
    • [q-fin.ST]A Review on Graph Neural Network Methods in Financial Applications
    • [quant-ph]On the challenges of using D-Wave computers to sample Boltzmann Random Variables
    • [quant-ph]Synthetic weather radar using hybrid quantum-classical machine learning
    • [quant-ph]The Quantum Multiple-Access Channel with Cribbing Encoders
    • [stat.AP]Log-Gaussian Cox Process Modeling of Large Spatial Lightning Data using Spectral and Laplace Approximations
    • [stat.AP]Validating CircaCP: a Generic Sleep-Wake Cycle Detection Algorithm
    • [stat.CO]Application of Equal Local Levels to Improve Q-Q Plot Testing Bands with R Package qqconf
    • [stat.CO]Convergence Rate of Multiple-try Metropolis Independent sampler
    • [stat.ME]A Convex-Nonconvex Strategy for Grouped Variable Selection
    • [stat.ME]A Differentially Private Bayesian Approach to Replication Analysis
    • [stat.ME]A Hierarchical Geodesic Model for Longitudinal Analysis on Manifolds
    • [stat.ME]A Kernel Test for Causal Association via Noise Contrastive Backdoor Adjustment
    • [stat.ME]A Variational Inference Approach to Inverse Problems with Gamma Hyperpriors
    • [stat.ME]Adaptive Combination of Randomized and Observational Data
    • [stat.ME]Confidence regions for univariate and multivariate data using permutation tests
    • [stat.ME]Contrasting Identifying Assumptions of Average Causal Effects: Robustness and Semiparametric Efficiency
    • [stat.ME]Efficiency of Regression (Un)-Adjusted Rosenbaum’s Rank-based Estimator in Randomized Experiments
    • [stat.ME]Efficient Estimation Under Data Fusion
    • [stat.ME]Model-based clustering via skewed matrix-variate cluster-weighted models
    • [stat.ME]Scalable Semiparametric Spatio-temporal Regression for Large Data Analysis
    • [stat.ML]Bayesian Modelling of Multivalued Power Curves from an Operational Wind Farm
    • [stat.ML]Decoding the Protein-ligand Interactions Using Parallel Graph Neural Networks
    • [stat.ML]Second-order Approximation of Minimum Discrimination Information in Independent Component Analysis

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

    • [astro-ph.EP]PGNets: Planet mass prediction using convolutional neural networks for radio continuum observations of protoplanetary disks
    Shangjia Zhang, Zhaohuan Zhu, Mingon Kang
    http://arxiv.org/abs/2111.15196v1

    • [astro-ph.GA]Weighing the Milky Way and Andromeda with Artificial Intelligence
    Pablo Villanueva-Domingo, Francisco Villaescusa-Navarro, Shy Genel, Daniel Anglés-Alcázar, Lars Hernquist, Federico Marinacci, David N. Spergel, Mark Vogelsberger, Desika Narayanan
    http://arxiv.org/abs/2111.14874v1

    • [cs.AI]Asymptotics for Pull on the Complete Graph
    Konstantinos Panagiotou, Simon Reisser
    http://arxiv.org/abs/2111.15445v1

    • [cs.AI]Easy Semantification of Bioassays
    Marco Anteghini, Jennifer D’Souza, Vitor A. P. Martins dos Santos, Sören Auer
    http://arxiv.org/abs/2111.15182v1

    • [cs.AI]Interval-valued q-Rung Orthopair Fuzzy Choquet Integral Operators and Its Application in Group Decision Making
    Benting Wan, Juelin Huang, Xi Chen
    http://arxiv.org/abs/2111.15108v1

    • [cs.AI]The Power of Communication in a Distributed Multi-Agent System
    Philipp Dominic Siedler
    http://arxiv.org/abs/2111.15611v1

    • [cs.AR]A Highly Configurable Hardware/Software Stack for DNN Inference Acceleration
    Suvadeep Banerjee, Steve Burns, Pasquale Cocchini, Abhijit Davare, Shweta Jain, Desmond Kirkpatrick, Anton Sorokin, Jin Yang, Zhenkun Yang
    http://arxiv.org/abs/2111.15024v1

    • [cs.AR]BrainScaleS Large Scale Spike Communication using Extoll
    Tobias Thommes, Niels Buwen, Andreas Grübl, Eric Müller, Ulrich Brüning, Johannes Schemmel
    http://arxiv.org/abs/2111.15296v1

    • [cs.CL]A Comparative Study of Transformers on Word Sense Disambiguation
    Avi Chawla, Nidhi Mulay, Vikas Bishnoi, Gaurav Dhama, Dr. Anil Kumar Singh
    http://arxiv.org/abs/2111.15417v1

    • [cs.CL]Adversarial Training for a Hybrid Approach to Aspect-Based Sentiment Analysis
    Ron Hochstenbach, Flavius Frasincar, Maria Mihaela Trusca
    http://arxiv.org/abs/2111.14988v1

    • [cs.CL]An Empirical Study of Topic Transition in Dialogue
    Mayank Soni, Brendan Spillane, Emer Gilmartin, Christian Saam, Benjamin R. Cowan, Vincent Wade
    http://arxiv.org/abs/2111.14188v2

    • [cs.CL]Automated Speech Scoring System Under The Lens: Evaluating and interpreting the linguistic cues for language proficiency
    Pakhi Bamdev, Manraj Singh Grover, Yaman Kumar Singla, Payman Vafaee, Mika Hama, Rajiv Ratn Shah
    http://arxiv.org/abs/2111.15156v1

    • [cs.CL]Automatic Extraction of Medication Names in Tweets as Named Entity Recognition
    Carol Anderson, Bo Liu, Anas Abidin, Hoo-Chang Shin, Virginia Adams
    http://arxiv.org/abs/2111.15641v1

    • [cs.CL]Bilingual Topic Models for Comparable Corpora
    Georgios Balikas, Massih-Reza Amini, Marianne Clausel
    http://arxiv.org/abs/2111.15278v1

    • [cs.CL]Challenges in Developing LRs for Non-Scheduled Languages: A Case of Magahi
    Ritesh Kumar
    http://arxiv.org/abs/2111.15322v1

    • [cs.CL]Chemical Identification and Indexing in PubMed Articles via BERT and Text-to-Text Approaches
    Virginia Adams, Hoo-Chang Shin, Carol Anderson, Bo Liu, Anas Abidin
    http://arxiv.org/abs/2111.15622v1

    • [cs.CL]Customer Sentiment Analysis using Weak Supervision for Customer-Agent Chat
    Navdeep Jain
    http://arxiv.org/abs/2111.14282v2

    • [cs.CL]Generating Rich Product Descriptions for Conversational E-commerce Systems
    Shashank Kedia, Aditya Mantha, Sneha Gupta, Stephen Guo, Kannan Achan
    http://arxiv.org/abs/2111.15298v1

    • [cs.CL]Improvement in Machine Translation with Generative Adversarial Networks
    Jay Ahn, Hari Madhu, Viet Nguyen
    http://arxiv.org/abs/2111.15166v1

    • [cs.CL]Joint Modeling of Code-Switched and Monolingual ASR via Conditional Factorization
    Brian Yan, Chunlei Zhang, Meng Yu, Shi-Xiong Zhang, Siddharth Dalmia, Dan Berrebbi, Chao Weng, Shinji Watanabe, Dong Yu
    http://arxiv.org/abs/2111.15016v1

    • [cs.CL]KARL-Trans-NER: Knowledge Aware Representation Learning for Named Entity Recognition using Transformers
    Avi Chawla, Nidhi Mulay, Vikas Bishnoi, Gaurav Dhama
    http://arxiv.org/abs/2111.15436v1

    • [cs.CL]Learning to Predict Persona Information forDialogue Personalization without Explicit Persona Description
    Wangchunshu Zhou, Qifei Li, Chenle Li
    http://arxiv.org/abs/2111.15093v1

    • [cs.CL]Minor changes make a difference: a case study on the consistency of UD-based dependency parsers
    Dmytro Kalpakchi, Johan Boye
    http://arxiv.org/abs/2111.15413v1

    • [cs.CL]Text Mining Drug/Chemical-Protein Interactions using an Ensemble of BERT and T5 Based Models
    Virginia Adams, Hoo-Chang Shin, Carol Anderson, Bo Liu, Anas Abidin
    http://arxiv.org/abs/2111.15617v1

    • [cs.CL]Text classification problems via BERT embedding method and graph convolutional neural network
    Loc Hoang Tran, Tuan Tran, An Mai
    http://arxiv.org/abs/2111.15379v1

    • [cs.CL]Towards automatic identification of linguistic politeness in Hindi texts
    Ritesh Kumar
    http://arxiv.org/abs/2111.15268v1

    • [cs.CL]What Do You See in this Patient? Behavioral Testing of Clinical NLP Models
    Betty van Aken, Sebastian Herrmann, Alexander Löser
    http://arxiv.org/abs/2111.15512v1

    • [cs.CR]Mitigating Adversarial Attacks by Distributing Different Copies to Different Users
    Jiyi Zhang, Wesley Joon-Wie Tann, Ee-Chien Chang
    http://arxiv.org/abs/2111.15160v1

    • [cs.CR]New Datasets for Dynamic Malware Classification
    Berkant Düzgün, Aykut Çayır, Ferhat Demirkıran, Ceyda Nur Kayha, Buket Gençaydın, Hasan Dağ
    http://arxiv.org/abs/2111.15205v1

    • [cs.CR]Privacy-Preserving Decentralized Exchange Marketplaces
    Kavya Govindarajan, Dhinakaran Vinayagamurthy, Praveen Jayachandran, Chester Rebeiro
    http://arxiv.org/abs/2111.15259v1

    • [cs.CR]Third-Party Hardware IP Assurance against Trojans through Supervised Learning and Post-processing
    Pravin Gaikwad, Jonathan Cruz, Prabuddha Chakraborty, Swarup Bhunia, Tamzidul Hoque
    http://arxiv.org/abs/2111.14956v1

    • [cs.CV]360MonoDepth: High-Resolution 360° Monocular Depth Estimation
    Manuel Rey-Area, Mingze Yuan, Christian Richardt
    http://arxiv.org/abs/2111.15669v1

    • [cs.CV]A Dataset-Dispersion Perspective on Reconstruction Versus Recognition in Single-View 3D Reconstruction Networks
    Yefan Zhou, Yiru Shen, Yujun Yan, Chen Feng, Yaoqing Yang
    http://arxiv.org/abs/2111.15158v1

    • [cs.CV]A Face Recognition System’s Worst Morph Nightmare, Theoretically
    Una M. Kelly, Raymond Veldhuis, Luuk Spreeuwers
    http://arxiv.org/abs/2111.15416v1

    • [cs.CV]A Unified Pruning Framework for Vision Transformers
    Hao Yu, Jianxin Wu
    http://arxiv.org/abs/2111.15127v1

    • [cs.CV]ARTSeg: Employing Attention for Thermal images Semantic Segmentation
    Farzeen Munir, Shoaib Azam, Unse Fatima, Moongu Jeon
    http://arxiv.org/abs/2111.15257v1

    • [cs.CV]ATS: Adaptive Token Sampling For Efficient Vision Transformers
    Mohsen Fayyaz, Soroush Abbasi Kouhpayegani, Farnoush Rezaei Jafari, Eric Sommerlade, Hamid Reza Vaezi Joze, Hamed Pirsiavash, Juergen Gall
    http://arxiv.org/abs/2111.15667v1

    • [cs.CV]AdaViT: Adaptive Vision Transformers for Efficient Image Recognition
    Lingchen Meng, Hengduo Li, Bor-Chun Chen, Shiyi Lan, Zuxuan Wu, Yu-Gang Jiang, Ser-Nam Lim
    http://arxiv.org/abs/2111.15668v1

    • [cs.CV]Adaptive Gating for Single-Photon 3D Imaging
    Ryan Po, Adithya Pediredla, Ioannis Gkioulekas
    http://arxiv.org/abs/2111.15047v1

    • [cs.CV]Aerial Images Meet Crowdsourced Trajectories: A New Approach to Robust Road Extraction
    Lingbo Liu, Zewei Yang, Guanbin Li, Kuo Wang, Tianshui Chen, Liang Lin
    http://arxiv.org/abs/2111.15119v1

    • [cs.CV]Affect-DML: Context-Aware One-Shot Recognition of Human Affect using Deep Metric Learning
    Kunyu Peng, Alina Roitberg, David Schneider, Marios Koulakis, Kailun Yang, Rainer Stiefelhagen
    http://arxiv.org/abs/2111.15271v1

    • [cs.CV]AirObject: A Temporally Evolving Graph Embedding for Object Identification
    Nikhil Varma Keetha, Chen Wang, Yuheng Qiu, Kuan Xu, Sebastian Scherer
    http://arxiv.org/abs/2111.15150v1

    • [cs.CV]Anonymization for Skeleton Action Recognition
    Myeonghyeon Kim, Zhenyue Qin, Yang Liu, Dongwoo Kim
    http://arxiv.org/abs/2111.15129v1

    • [cs.CV]AssistSR: Affordance-centric Question-driven Video Segment Retrieval
    Stan Weixian Lei, Yuxuan Wang, Dongxing Mao, Difei Gao, Mike Zheng Shou
    http://arxiv.org/abs/2111.15050v1

    • [cs.CV]Attentive Prototypes for Source-free Unsupervised Domain Adaptive 3D Object Detection
    Deepti Hegde, Vishal Patel
    http://arxiv.org/abs/2111.15656v1

    • [cs.CV]Automated Damage Inspection of Power Transmission Towers from UAV Images
    Aleixo Cambeiro Barreiro, Clemens Seibold, Anna Hilsmann, Anna Hilsmann
    http://arxiv.org/abs/2111.15581v1

    • [cs.CV]Automatic tracing of mandibular canal pathways using deep learning
    Mrinal Kanti Dhar, Zeyun Yu
    http://arxiv.org/abs/2111.15111v1

    • [cs.CV]Boosting Discriminative Visual Representation Learning with Scenario-Agnostic Mixup
    Siyuan Li, Zicheng Liu, Di Wu, Zihan Liu, Stan Z. Li
    http://arxiv.org/abs/2111.15454v1

    • [cs.CV]CLIP Meets Video Captioners: Attribute-Aware Representation Learning Promotes Accurate Captioning
    Bang Yang, Yuexian Zou
    http://arxiv.org/abs/2111.15162v1

    • [cs.CV]CRIS: CLIP-Driven Referring Image Segmentation
    Zhaoqing Wang, Yu Lu, Qiang Li, Xunqiang Tao, Yandong Guo, Mingming Gong, Tongliang Liu
    http://arxiv.org/abs/2111.15174v1

    • [cs.CV]CT-block: a novel local and global features extractor for point cloud
    Shangwei Guo, Jun Li, Zhengchao Lai, Xiantong Meng, Shaokun Han
    http://arxiv.org/abs/2111.15400v1

    • [cs.CV]Camera Distortion-aware 3D Human Pose Estimation in Video with Optimization-based Meta-Learning
    Hanbyel Cho, Yooshin Cho, Jaemyung Yu, Junmo Kim
    http://arxiv.org/abs/2111.15056v1

    • [cs.CV]ConDA: Unsupervised Domain Adaptation for LiDAR Segmentation via Regularized Domain Concatenation
    Lingdong Kong, Niamul Quader, Venice Erin Liong
    http://arxiv.org/abs/2111.15242v1

    • [cs.CV]DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation
    Lukas Hoyer, Dengxin Dai, Luc Van Gool
    http://arxiv.org/abs/2111.14887v1

    • [cs.CV]DeDUCE: Generating Counterfactual Explanations Efficiently
    Benedikt Höltgen, Lisa Schut, Jan M. Brauner, Yarin Gal
    http://arxiv.org/abs/2111.15639v1

    • [cs.CV]Deformable ProtoPNet: An Interpretable Image Classifier Using Deformable Prototypes
    Jon Donnelly, Alina Jade Barnett, Chaofan Chen
    http://arxiv.org/abs/2111.15000v1

    • [cs.CV]DiffSDFSim: Differentiable Rigid-Body Dynamics With Implicit Shapes
    Michael Strecke, Joerg Stueckler
    http://arxiv.org/abs/2111.15318v1

    • [cs.CV]Diffusion Autoencoders: Toward a Meaningful and Decodable Representation
    Konpat Preechakul, Nattanat Chatthee, Suttisak Wizadwongsa, Supasorn Suwajanakorn
    http://arxiv.org/abs/2111.15640v1

    • [cs.CV]EAGAN: Efficient Two-stage Evolutionary Architecture Search for GANs
    Guohao Ying, Xin He, Bin Gao, Bo Han, Xiaowen Chu
    http://arxiv.org/abs/2111.15097v1

    • [cs.CV]ESL: Event-based Structured Light
    Manasi Muglikar, Guillermo Gallego, Davide Scaramuzza
    http://arxiv.org/abs/2111.15510v1

    • [cs.CV]EdiBERT, a generative model for image editing
    Thibaut Issenhuth, Ugo Tanielian, Jérémie Mary, David Picard
    http://arxiv.org/abs/2111.15264v1

    • [cs.CV]Equitable modelling of brain imaging by counterfactual augmentation with morphologically constrained 3D deep generative models
    Guilherme Pombo, Robert Gray, Jorge Cardoso, Sebastien Ourselin, Geraint Rees, John Ashburner, Parashkev Nachev
    http://arxiv.org/abs/2111.14923v1

    • [cs.CV]FENeRF: Face Editing in Neural Radiance Fields
    Jingxiang Sun, Xuan Wang, Yong Zhang, Xiaoyu Li, Qi Zhang, Yebin Liu, Jue Wang
    http://arxiv.org/abs/2111.15490v1

    • [cs.CV]FMD-cGAN: Fast Motion Deblurring using Conditional Generative Adversarial Networks
    Jatin Kumar, Indra Deep Mastan, Shanmuganathan Raman
    http://arxiv.org/abs/2111.15438v1

    • [cs.CV]Generative Convolution Layer for Image Generation
    Seung Park, Yong-Goo Shin
    http://arxiv.org/abs/2111.15171v1

    • [cs.CV]HEAT: Holistic Edge Attention Transformer for Structured Reconstruction
    Jiacheng Chen, Yiming Qian, Yasutaka Furukawa
    http://arxiv.org/abs/2111.15143v1

    • [cs.CV]HRNET: AI on Edge for mask detection and social distancing
    Kinshuk Sengupta, Praveen Ranjan Srivastava
    http://arxiv.org/abs/2111.15208v1

    • [cs.CV]Hallucinated Neural Radiance Fields in the Wild
    Xingyu Chen, Qi Zhang, Xiaoyu Li, Yue Chen, Feng Ying, Xuan Wang, Jue Wang
    http://arxiv.org/abs/2111.15246v1

    • [cs.CV]Hole-robust Wireframe Detection
    Naejin Kong, Kiwoong Park, Harshith Goka
    http://arxiv.org/abs/2111.15064v1

    • [cs.CV]How Facial Features Convey Attention in Stationary Environments
    Janelle Domantay
    http://arxiv.org/abs/2111.14931v1

    • [cs.CV]Human Imperceptible Attacks and Applications to Improve Fairness
    Xinru Hua, Huanzhong Xu, Jose Blanchet, Viet Nguyen
    http://arxiv.org/abs/2111.15603v1

    • [cs.CV]HyperStyle: StyleGAN Inversion with HyperNetworks for Real Image Editing
    Yuval Alaluf, Omer Tov, Ron Mokady, Rinon Gal, Amit H. Bermano
    http://arxiv.org/abs/2111.15666v1

    • [cs.CV]Hyperspectral Image Segmentation based on Graph Processing over Multilayer Networks
    Songyang Zhang, Qinwen Deng, Zhi Ding
    http://arxiv.org/abs/2111.15018v1

    • [cs.CV]Image denoising by Super Neurons: Why go deep?
    Junaid Malik, Serkan Kiranyaz, Moncef Gabbouj
    http://arxiv.org/abs/2111.14948v1

    • [cs.CV]In-Bed Human Pose Estimation from Unseen and Privacy-Preserving Image Domains
    Ting Cao, Mohammad Ali Armin, Simon Denman, Lars Petersson, David Ahmedt-Aristizabal
    http://arxiv.org/abs/2111.15124v1

    • [cs.CV]Instance-wise Occlusion and Depth Orders in Natural Scenes
    Hyunmin Lee, Jaesik Park
    http://arxiv.org/abs/2111.14562v2

    • [cs.CV]Large-Scale Video Analytics through Object-Level Consolidation
    Daniel Rivas, Francesc Guim, Jordà Polo, David Carrera
    http://arxiv.org/abs/2111.15451v1

    • [cs.CV]LatentHuman: Shape-and-Pose Disentangled Latent Representation for Human Bodies
    Sandro Lombardi, Bangbang Yang, Tianxing Fan, Hujun Bao, Guofeng Zhang, Marc Pollefeys, Zhaopeng Cui
    http://arxiv.org/abs/2111.15113v1

    • [cs.CV]Learning Multiple Dense Prediction Tasks from Partially Annotated Data
    Wei-Hong Li, Xialei Liu, Hakan Bilen
    http://arxiv.org/abs/2111.14893v1

    • [cs.CV]Leveraging The Topological Consistencies of Learning in Deep Neural Networks
    Stuart Synakowski, Fabian Benitez-Quiroz, Aleix M. Martinez
    http://arxiv.org/abs/2111.15651v1

    • [cs.CV]Low-light Image Enhancement via Breaking Down the Darkness
    Qiming Hu, Xiaojie Guo
    http://arxiv.org/abs/2111.15557v1

    • [cs.CV]MC-SSL0.0: Towards Multi-Concept Self-Supervised Learning
    Sara Atito, Muhammad Awais, Ammarah Farooq, Zhenhua Feng, Josef Kittler
    http://arxiv.org/abs/2111.15340v1

    • [cs.CV]MMPTRACK: Large-scale Densely Annotated Multi-camera Multiple People Tracking Benchmark
    Xiaotian Han, Quanzeng You, Chunyu Wang, Zhizheng Zhang, Peng Chu, Houdong Hu, Jiang Wang, Zicheng Liu
    http://arxiv.org/abs/2111.15157v1

    • [cs.CV]MapReader: A Computer Vision Pipeline for the Semantic Exploration of Maps at Scale
    Kasra Hosseini, Daniel C. S. Wilson, Kaspar Beelen, Katherine McDonough
    http://arxiv.org/abs/2111.15592v1

    • [cs.CV]Morph Detection Enhanced by Structured Group Sparsity
    Poorya Aghdaie, Baaria Chaudhary, Sobhan Soleymani, Jeremy Dawson, Nasser M. Nasrabadi
    http://arxiv.org/abs/2111.14943v1

    • [cs.CV]Multi-modal Text Recognition Networks: Interactive Enhancements between Visual and Semantic Features
    Byeonghu Na, Yoonsik Kim, Sungrae Park
    http://arxiv.org/abs/2111.15263v1

    • [cs.CV]MultiPath++: Efficient Information Fusion and Trajectory Aggregation for Behavior Prediction
    Balakrishnan Varadarajan, Ahmed Hefny, Avikalp Srivastava, Khaled S. Refaat, Nigamaa Nayakanti, Andre Cornman, Kan Chen, Bertrand Douillard, Chi Pang Lam, Dragomir Anguelov, Benjamin Sapp
    http://arxiv.org/abs/2111.14973v1

    • [cs.CV]NeRFReN: Neural Radiance Fields with Reflections
    Yuan-Chen Guo, Di Kang, Linchao Bao, Yu He, Song-Hai Zhang
    http://arxiv.org/abs/2111.15234v1

    • [cs.CV]NeeDrop: Self-supervised Shape Representation from Sparse Point Clouds using Needle Dropping
    Alexandre Boulch, Pierre-Alain Langlois, Gilles Puy, Renaud Marlet
    http://arxiv.org/abs/2111.15207v1

    • [cs.CV]NeuSample: Neural Sample Field for Efficient View Synthesis
    Jiemin Fang, Lingxi Xie, Xinggang Wang, Xiaopeng Zhang, Wenyu Liu, Qi Tian
    http://arxiv.org/abs/2111.15552v1

    • [cs.CV]Neural Attention for Image Captioning: Review of Outstanding Methods
    Zanyar Zohourianshahzadi, Jugal K. Kalita
    http://arxiv.org/abs/2111.15015v1

    • [cs.CV]PlantStereo: A Stereo Matching Benchmark for Plant Surface Dense Reconstruction
    Qingyu Wang, Baojian Ma, Wei Liu, Mingzhao Lou, Mingchuan Zhou, Huanyu Jiang, Yibin Ying
    http://arxiv.org/abs/2111.15192v1

    • [cs.CV]Point Cloud Instance Segmentation with Semi-supervised Bounding-Box Mining
    Yongbin Liao, Hongyuan Zhu, Yanggang Zhang, Chuangguan Ye, Tao Chen, Jiayuan Fan
    http://arxiv.org/abs/2111.15210v1

    • [cs.CV]PolyWorld: Polygonal Building Extraction with Graph Neural Networks in Satellite Images
    Stefano Zorzi, Shabab Bazrafkan, Stefan Habenschuss, Friedrich Fraundorfer
    http://arxiv.org/abs/2111.15491v1

    • [cs.CV]Probabilistic Estimation of 3D Human Shape and Pose with a Semantic Local Parametric Model
    Akash Sengupta, Ignas Budvytis, Roberto Cipolla
    http://arxiv.org/abs/2111.15404v1

    • [cs.CV]Pyramid Adversarial Training Improves ViT Performance
    Charles Herrmann, Kyle Sargent, Lu Jiang, Ramin Zabih, Huiwen Chang, Ce Liu, Dilip Krishnan, Deqing Sun
    http://arxiv.org/abs/2111.15121v1

    • [cs.CV]RADU: Ray-Aligned Depth Update Convolutions for ToF Data Denoising
    Michael Schelling, Pedro Hermosilla, Timo Ropinski
    http://arxiv.org/abs/2111.15513v1

    • [cs.CV]Reconstruction Student with Attention for Student-Teacher Pyramid Matching
    Shinji Yamada, Kazuhiro Hotta
    http://arxiv.org/abs/2111.15376v1

    • [cs.CV]Regularized directional representations for medical image registration
    Vincent Jaouen, Pierre-Henri Conze, Guillaume Dardenne, Julien Bert, Dimitris Visvikis
    http://arxiv.org/abs/2111.15509v1

    • [cs.CV]Revisiting Temporal Alignment for Video Restoration
    Kun Zhou, Wenbo Li, Liying Lu, Xiaoguang Han, Jiangbo Lu
    http://arxiv.org/abs/2111.15288v1

    • [cs.CV]Robust 3D Garment Digitization from Monocular 2D Images for 3D Virtual Try-On Systems
    Sahib Majithia, Sandeep N. Parameswaran, Sadbhavana Babar, Vikram Garg, Astitva Srivastava, Avinash Sharma
    http://arxiv.org/abs/2111.15140v1

    • [cs.CV]Robust Partial-to-Partial Point Cloud Registration in a Full Range
    Liang Pan, Zhongang Cai, Ziwei Liu
    http://arxiv.org/abs/2111.15606v1

    • [cs.CV]SamplingAug: On the Importance of Patch Sampling Augmentation for Single Image Super-Resolution
    Shizun Wang, Ming Lu, Kaixin Chen, Jiaming Liu, Xiaoqi Li, Chuang zhang, Ming Wu
    http://arxiv.org/abs/2111.15185v1

    • [cs.CV]Seeking Salient Facial Regions for Cross-Database Micro-Expression Recognition
    Xingxun Jiang, Yuan Zong, Wenming Zheng
    http://arxiv.org/abs/2111.15361v1

    • [cs.CV]Semi-Local Convolutions for LiDAR Scan Processing
    Larissa T. Triess, David Peter, J. Marius Zöllner
    http://arxiv.org/abs/2111.15615v1

    • [cs.CV]Semi-Supervised 3D Hand Shape and Pose Estimation with Label Propagation
    Samira Kaviani, Amir Rahimi, Richard Hartley
    http://arxiv.org/abs/2111.15199v1

    • [cs.CV]Shunted Self-Attention via Multi-Scale Token Aggregation
    Sucheng Ren, Daquan Zhou, Shengfeng He, Jiashi Feng, Xinchao Wang
    http://arxiv.org/abs/2111.15193v1

    • [cs.CV]SketchEdit: Mask-Free Local Image Manipulation with Partial Sketches
    Yu Zeng, Zhe Lin, Vishal M. Patel
    http://arxiv.org/abs/2111.15078v1

    • [cs.CV]Spatio-Temporal Multi-Flow Network for Video Frame Interpolation
    Duolikun Danier, Fan Zhang, David Bull
    http://arxiv.org/abs/2111.15483v1

    • [cs.CV]The Devil is in the Margin: Margin-based Label Smoothing for Network Calibration
    Bingyuan Liu, Ismail Ben Ayed, Adrian Galdran, Jose Dolz
    http://arxiv.org/abs/2111.15430v1

    • [cs.CV]The MIS Check-Dam Dataset for Object Detection and Instance Segmentation Tasks
    Chintan Tundia, Rajiv Kumar, Om Damani, G. Sivakumar
    http://arxiv.org/abs/2111.15613v1

    • [cs.CV]TridentAdapt: Learning Domain-invariance via Source-Target Confrontation and Self-induced Cross-domain Augmentation
    Fengyi Shen, Akhil Gurram, Ahmet Faruk Tuna, Onay Urfalioglu, Alois Knoll
    http://arxiv.org/abs/2111.15300v1

    • [cs.CV]Two-stage Temporal Modelling Framework for Video-based Depression Recognition using Graph Representation
    Jiaqi Xu, Siyang Song, Keerthy Kusumam, Hatice Gunes, Michel Valstar
    http://arxiv.org/abs/2111.15266v1

    • [cs.CV]UBoCo : Unsupervised Boundary Contrastive Learning for Generic Event Boundary Detection
    Hyolim Kang, Jinwoo Kim, Taehyun Kim, Seon Joo Kim
    http://arxiv.org/abs/2111.14799v2

    • [cs.CV]Unsupervised Domain Adaptation: A Reality Check
    Kevin Musgrave, Serge Belongie, Ser-Nam Lim
    http://arxiv.org/abs/2111.15672v1

    • [cs.CV]Unsupervised Domain Generalization for Person Re-identification: A Domain-specific Adaptive Framework
    Lei Qi, Lei Wang, Yinghuan Shi, Xin Geng
    http://arxiv.org/abs/2111.15077v1

    • [cs.CV]Using a GAN to Generate Adversarial Examples to Facial Image Recognition
    Andrew Merrigan, Alan F. Smeaton
    http://arxiv.org/abs/2111.15213v1

    • [cs.CV]Voint Cloud: Multi-View Point Cloud Representation for 3D Understanding
    Abdullah Hamdi, Silvio Giancola, Bernard Ghanem
    http://arxiv.org/abs/2111.15363v1

    • [cs.CV]ZZ-Net: A Universal Rotation Equivariant Architecture for 2D Point Clouds
    Georg Bökman, Fredrik Kahl, Axel Flinth
    http://arxiv.org/abs/2111.15341v1

    • [cs.CV]Zero-Shot Semantic Segmentation via Spatial and Multi-Scale Aware Visual Class Embedding
    Sungguk Cha, Yooseung Wang
    http://arxiv.org/abs/2111.15181v1

    • [cs.CV]ePose: Let’s Make EfficientPose More Generally Applicable
    Austin Lally, Robert Bain, Mazen Alotaibi
    http://arxiv.org/abs/2111.15114v1

    • [cs.CY]Open Data and Quantitative Techniques for Anthropology of Road Traffic
    Ajda Pretnar Žagar, Tomaž Hočevar, Tomaž Curk
    http://arxiv.org/abs/2111.15661v1

    • [cs.DB]Anomaly Rule Detection in Sequence Data
    Wensheng Gan, Lili Chen, Shicheng Wan, Jiahui Chen, Chien-Ming Chen
    http://arxiv.org/abs/2111.15026v1

    • [cs.DB]Bounding the Last Mile: Efficient Learned String Indexing
    Benjamin Spector, Andreas Kipf, Kapil Vaidya, Chi Wang, Umar Farooq Minhas, Tim Kraska
    http://arxiv.org/abs/2111.14905v1

    • [cs.DB]US-Rule: Discovering Utility-driven Sequential Rules
    Gengsen Huang, Wensheng Gan, Jian Weng, Philip S. Yu
    http://arxiv.org/abs/2111.15020v1

    • [cs.DC]Communication-Efficient Federated Learning via Quantized Compressed Sensing
    Yongjeong Oh, Namyoon Lee, Yo-Seb Jeon, H. Vincent Poor
    http://arxiv.org/abs/2111.15071v1

    • [cs.DC]Evaluating Blockchain Application Requirements and their Satisfaction in Hyperledger Fabric
    Sadok Ben Toumia, Christian Berger, Hans P. Reiser
    http://arxiv.org/abs/2111.15399v1

    • [cs.DC]STRETCH: Virtual Shared-Nothing Parallelism for Scalable and Elastic Stream Processing
    Vincenzo Gulisano, Hannaneh Najdataei, Yiannis Nikolakopoulos, Alessandro V. Papadopoulos, Marina Papatriantafilou, Philippas Tsigas
    http://arxiv.org/abs/2111.13058v2

    • [cs.DC]Search by a Metamorphic Robotic System in a Finite 3D Cubic Grid
    Ryonosuke Yamada, Yukiko Yamauchi
    http://arxiv.org/abs/2111.15480v1

    • [cs.DC]Technical Report: Edge-centric Programming for IoT Applications with EdgeProg
    Borui Li, Wei Dong
    http://arxiv.org/abs/2111.15098v1

    • [cs.DC]Thermal entropy based hesitant fuzzy linguistic term set analysis in energy efficient opportunistic clustering
    Junaid Anees, Hao-Chun Zhang
    http://arxiv.org/abs/2111.15130v1

    • [cs.DC]Verifying Transactional Consistency of MongoDB
    Hongrong Ouyang, Hengfeng Wei, Yu Huang, Haixiang Li, Anqun Pan
    http://arxiv.org/abs/2111.14946v1

    • [cs.FL]Undecidability in Finite Transducers, Defense Systems and Finite Substitutions
    Vesa Halava
    http://arxiv.org/abs/2111.15420v1

    • [cs.GR]GAN-CNMP: An Interactive Generative Drawing Tool
    S. Ece Ada, M. Yunus Seker, Pinar Yan
    31f
    ardag
    http://arxiv.org/abs/2111.14934v1

    • [cs.HC]Expressive Communication: A Common Framework for Evaluating Developments in Generative Models and Steering Interfaces
    Ryan Louie, Jesse Engel, Anna Huang
    http://arxiv.org/abs/2111.14951v1

    • [cs.IR]Enhancing Keyphrase Extraction from Academic Articles with their Reference Information
    Chengzhi Zhang, Lei Zhao, Mengyuan Zhao, Yingyi Zhang
    http://arxiv.org/abs/2111.14106v2

    • [cs.IR]Georacle: Enabling Geospatially Aware Smart Contracts
    Taha Azzaoui
    http://arxiv.org/abs/2111.15023v1

    • [cs.IR]MISS: Multi-Interest Self-Supervised Learning Framework for Click-Through Rate Prediction
    Wei Guo, Can Zhang, Zhicheng He, Jiarui Qin, Huifeng Guo, Bo Chen, Ruiming Tang, Xiuqiang He, Rui Zhang
    http://arxiv.org/abs/2111.15068v1

    • [cs.IT]A Combinatorial Approach to Flag Codes
    Clementa Alonso-González, Miguel Ángel Navarro-Pérez
    http://arxiv.org/abs/2111.15388v1

    • [cs.IT]A Scheme of Channel Prediction Based on Artificial Neural Network
    Zirui Wen, Ruisi He, Bo Ai, Chen Huang, Mi Yang, Zhangdui Zhong
    http://arxiv.org/abs/2111.15476v1

    • [cs.IT]A Secure Key Sharing Algorithm Exploiting Phase Reciprocity in Wireless Channels
    Shayan Mohajer Hamidi, Amir Keyvan Khandani, Ehsan Bateni
    http://arxiv.org/abs/2111.15046v1

    • [cs.IT]Clustering-Based Activity Detection Algorithms for Grant-Free Random Access in Cell-Free Massive MIMO
    Unnikrishnan Kunnath Ganesan, Emil Björnson, Erik G. Larsson
    http://arxiv.org/abs/2111.15378v1

    • [cs.IT]Distributed Computation of A Posteriori Bit Likelihood Ratios in Cell-Free Massive MIMO
    Zakir Hussain Shaik, Emil Björnson, Erik G. Larsson
    http://arxiv.org/abs/2111.15568v1

    • [cs.IT]Energy-Efficient Design for a NOMA assisted STAR-RIS Network with Deep Reinforcement Learning
    Yi Guo, Fang Fang, Donghong Cai, Zhiguo Ding
    http://arxiv.org/abs/2111.15464v1

    • [cs.IT]Non-Convex Recovery from Phaseless Low-Resolution Blind Deconvolution Measurements using Noisy Masked Patterns
    Samuel Pinilla, Kumar Vijay Mishra, Brian Sadler
    http://arxiv.org/abs/2111.13670v2

    • [cs.IT]Outage and Finite-SNR DMT Analysis for IRS-aided MIMO Systems: How Large IRSs Need to Be?
    Xin Zhang, Xianghao Yu, S. H. Song
    http://arxiv.org/abs/2111.15123v1

    • [cs.IT]RadioWeaves for Extreme Spatial Multiplexing in Indoor Environments
    Unnikrishnan Kunnath Ganesan, Emil Björnson, Erik G. Larsson
    http://arxiv.org/abs/2111.15339v1

    • [cs.IT]Real-Time CRLB based Antenna Selection in Planar Antenna Arrays
    Masoud Arash, Ivan Stupia, Luc Vandendorpe
    http://arxiv.org/abs/2111.15008v1

    • [cs.IT]Reconfigurable Intelligent Surface Optimization for Uplink Sparse Code Multiple Access
    Ibrahim Al-Nahhal, Octavia A. Dobre, Ertugrul Basar, Telex M. N. Ngatched, Salama Ikki
    http://arxiv.org/abs/2111.15110v1

    • [cs.IT]Sequential Transmission Over Binary Asymmetric Channels With Feedback
    Hengjie Yang, Minghao Pan, Amaael Antonini, Richard D. Wesel
    http://arxiv.org/abs/2111.15042v1

    • [cs.LG]A Highly Effective Low-Rank Compression of Deep Neural Networks with Modified Beam-Search and Modified Stable Rank
    Moonjung Eo, Suhyun Kang, Wonjong Rhee
    http://arxiv.org/abs/2111.15179v1

    • [cs.LG]A novel data-driven algorithm to predict anomalous prescription based on patient’s feature set
    Qiongge Li, Jean Wright, Russell Hales, Ranh Voong, Todd McNutt
    http://arxiv.org/abs/2111.15101v1

    • [cs.LG]Adversarial Attacks in Cooperative AI
    Ted Fujimoto, Arthur Paul Pedersen
    http://arxiv.org/abs/2111.14833v1

    • [cs.LG]Approximate Spectral Decomposition of Fisher Information Matrix for Simple ReLU Networks
    Yoshinari Takeishi, Masazumi Iida, Jun’ichi Takeuchi
    http://arxiv.org/abs/2111.15256v1

    • [cs.LG]Architecture Matters: Investigating the Influence of Differential Privacy on Neural Network Design
    Felix Morsbach, Tobias Dehling, Ali Sunyaev
    http://arxiv.org/abs/2111.14924v1

    • [cs.LG]AugLiChem: Data Augmentation Library ofChemical Structures for Machine Learning
    Rishikesh Magar, Yuyang Wang, Cooper Lorsung, Chen Liang, Hariharan Ramasubramanian, Peiyuan Li, Amir Barati Farimani
    http://arxiv.org/abs/2111.15112v1

    • [cs.LG]AutoDrop: Training Deep Learning Models with Automatic Learning Rate Drop
    Yunfei Teng, Jing Wang, Anna Choromanska
    http://arxiv.org/abs/2111.15317v1

    • [cs.LG]Automatic Synthesis of Diverse Weak Supervision Sources for Behavior Analysis
    Albert Tseng, Jennifer J. Sun, Yisong Yue
    http://arxiv.org/abs/2111.15186v1

    • [cs.LG]Bayesian Optimization for auto-tuning GPU kernels
    Floris-Jan Willemsen, Rob van Nieuwpoort, Ben van Werkhoven
    http://arxiv.org/abs/2111.14991v1

    • [cs.LG]Beyond Periodicity: Towards a Unifying Framework for Activations in Coordinate-MLPs
    Sameera Ramasinghe, Simon Lucey
    http://arxiv.org/abs/2111.15135v1

    • [cs.LG]Binary Independent Component Analysis via Non-stationarity
    Antti Hyttinen, Vitória Barin-Pacela, Aapo Hyvärinen
    http://arxiv.org/abs/2111.15431v1

    • [cs.LG]Black box tests for algorithmic stability
    Byol Kim, Rina Foygel Barber
    http://arxiv.org/abs/2111.15546v1

    • [cs.LG]Breaking the Linear Iteration Cost Barrier for Some Well-known Conditional Gradient Methods Using MaxIP Data-structures
    Anshumali Shrivastava, Zhao Song, Zhaozhuo Xu
    http://arxiv.org/abs/2111.15139v1

    • [cs.LG]CO-SNE: Dimensionality Reduction and Visualization for Hyperbolic Data
    Yunhui Guo, Haoran Guo, Stella Yu
    http://arxiv.org/abs/2111.15037v1

    • [cs.LG]Classification of animal sounds in a hyperdiverse rainforest using Convolutional Neural Networks
    Yuren Sun, Tatiana Midori Maeda, Claudia Solis-Lemus, Daniel Pimentel-Alarcon, Zuzana Burivalova
    http://arxiv.org/abs/2111.14971v1

    • [cs.LG]Continuous Control With Ensemble Deep Deterministic Policy Gradients
    Piotr Januszewski, Mateusz Olko, Michał Królikowski, Jakub Świątkowski, Marcin Andrychowicz, Łukasz Kuciński, Piotr Miłoś
    http://arxiv.org/abs/2111.15382v1

    • [cs.LG]Deep Auto-encoder with Neural Response
    Xuming Ran, Jie Zhang, Ziyuan Ye, Haiyan Wu, Qi Xu, Huihui Zhou, Quanying Liu
    http://arxiv.org/abs/2111.15309v1

    • [cs.LG]DeepAL: Deep Active Learning in Python
    Kuan-Hao Huang
    http://arxiv.org/abs/2111.15258v1

    • [cs.LG]Distribution Shift in Airline Customer Behavior during COVID-19
    Abhinav Garg, Naman Shukla, Lavanya Marla, Sriram Somanchi
    http://arxiv.org/abs/2111.14938v1

    • [cs.LG]Donut: Document Understanding Transformer without OCR
    Geewook Kim, Teakgyu Hong, Moonbin Yim, Jinyoung Park, Jinyeong Yim, Wonseok Hwang, Sangdoo Yun, Dongyoon Han, Seunghyun Park
    http://arxiv.org/abs/2111.15664v1

    • [cs.LG]Dynamic Inference
    Aolin Xu
    http://arxiv.org/abs/2111.14746v2

    • [cs.LG]Embedding Principle: a hierarchical structure of loss landscape of deep neural networks
    Yaoyu Zhang, Yuqing Li, Zhongwang Zhang, Tao Luo, Zhi-Qin John Xu
    http://arxiv.org/abs/2111.15527v1

    • [cs.LG]Energy-Efficient Inference on the Edge Exploiting TinyML Capabilities for UAVs
    Wamiq Raza, Anas Osman, Francesco Ferrini, Francesco De Natale
    http://arxiv.org/abs/2111.15481v1

    • [cs.LG]Evaluation of Machine Learning Techniques for Forecast Uncertainty Quantification
    Maximiliano A. Sacco, Juan J. Ruiz, Manuel Pulido, Pierre Tandeo
    http://arxiv.org/abs/2111.14844v1

    • [cs.LG]Exponentially Tilted Gaussian Prior for Variational Autoencoder
    Griffin Floto, Stefan Kremer, Mihai Nica
    http://arxiv.org/abs/2111.15646v1

    • [cs.LG]FROB: Few-shot ROBust Model for Classification and Out-of-Distribution Detection
    Nikolaos Dionelis
    http://arxiv.org/abs/2111.15487v1

    • [cs.LG]Forecasting Daily COVID-19 Related Calls in VA Health Care System: Predictive Model Development
    Weipeng Zhou, Ryan J. Laundry, Paul L. Hebert, Gang Luo
    http://arxiv.org/abs/2111.13980v2

    • [cs.LG]Global Convergence Using Policy Gradient Methods for Model-free Markovian Jump Linear Quadratic Control
    Santanu Rathod, Manoj Bhadu, Abir De
    http://arxiv.org/abs/2111.15228v1

    • [cs.LG]Harnessing expressive capacity of Machine Learning modeling to represent complex coupling of Earth’s auroral space weather regimes
    Jack Ziegler, Ryan M. Mcgranaghan
    http://arxiv.org/abs/2111.14998v1

    • [cs.LG]Hierarchical Prototype Networks for Continual Graph Representation Learning
    Xikun Zhang, Dongjin Song, Dacheng Tao
    http://arxiv.org/abs/2111.15422v1

    • [cs.LG]Learning with Noisy Labels by Efficient Transition Matrix Estimation to Combat Label Miscorrection
    Seong Min Kye, Kwanghee Choi, Joonyoung Yi, Buru Chang
    http://arxiv.org/abs/2111.14932v1

    • [cs.LG]LossPlot: A Better Way to Visualize Loss Landscapes
    Robert Bain, Mikhail Tokarev, Harsh Kothari, Rahul Damineni
    http://arxiv.org/abs/2111.15133v1

    • [cs.LG]MAPLE: Microprocessor A Priori for Latency Estimation
    Saad Abbasi, Alexander Wong, Mohammad Javad Shafiee
    http://arxiv.org/abs/2111.15106v1

    • [cs.LG]MOTIF: A Large Malware Reference Dataset with Ground Truth Family Labels
    Robert J. Joyce, Dev Amlani, Charles Nicholas, Edward Raff
    http://arxiv.org/abs/2111.15031v1

    • [cs.LG]Model-Free 今日学术视野(2021.12.2) - 图3 Synthesis via Adversarial Reinforcement Learning
    Darioush Keivan, Aaron Havens, Peter Seiler, Geir Dullerud, Bin Hu
    http://arxiv.org/abs/2111.15537v1

    • [cs.LG]Molecular Attributes Transfer from Non-Parallel Data
    Shuangjia Zheng, Ying Song, Zhang Pan, Chengtao Li, Le Song, Yuedong Yang
    http://arxiv.org/abs/2111.15146v1

    • [cs.LG]NeuralProphet: Explainable Forecasting at Scale
    Oskar Triebe, Hansika Hewamalage, Polina Pilyugina, Nikolay Laptev, Christoph Bergmeir, Ram Rajagopal
    http://arxiv.org/abs/2111.15397v1

    • [cs.LG]Neuron with Steady Response Leads to Better Generalization
    Qiang Fu, Lun Du, Haitao Mao, Xu Chen, Wei Fang, Shi Han, Dongmei Zhang
    http://arxiv.org/abs/2111.15414v1

    • [cs.LG]On the Generalization of Agricultural Drought Classification from Climate Data
    Julia Gottfriedsen, Max Berrendorf, Pierre Gentine, Markus Reichstein, Katja Weigel, Birgit Hassler, Veronika Eyring
    http://arxiv.org/abs/2111.15452v1

    • [cs.LG]Online Learning for Receding Horizon Control with Provable Regret Guarantees
    Deepan Muthirayan, Jianjun Yuan, Dileep Kalathil, Pramod P. Khargonekar
    http://arxiv.org/abs/2111.15041v1

    • [cs.LG]Optimizing High-Dimensional Physics Simulations via Composite Bayesian Optimization
    Wesley Maddox, Qing Feng, Max Balandat
    http://arxiv.org/abs/2111.14911v1

    • [cs.LG]Path Integral Sampler: a stochastic control approach for sampling
    Qinsheng Zhang, Yongxin Chen
    http://arxiv.org/abs/2111.15141v1

    • [cs.LG]Privacy-Preserving Serverless Edge Learning with Decentralized Small Data
    Shih-Chun Lin, Chia-Hung Lin
    http://arxiv.org/abs/2111.14955v1

    • [cs.LG]Reinforcement Learning Algorithm for Traffic Steering in Heterogeneous Network
    Cezary Adamczyk, Adrian Kliks
    http://arxiv.org/abs/2111.15029v1

    • [cs.LG]The Geometric Occam’s Razor Implicit in Deep Learning
    Benoit Dherin, Micheal Munn, David G. T. Barrett
    http://arxiv.org/abs/2111.15090v1

    • [cs.LG]TiWS-iForest: Isolation Forest in Weakly Supervised and Tiny ML scenarios
    Tommaso Barbariol, Gian Antonio Susto
    http://arxiv.org/abs/2111.15432v1

    • [cs.LG]Towards a comprehensive visualization of structure in data
    Joan Garriga, Frederic Bartumeus
    http://arxiv.org/abs/2111.15506v1

    • [cs.LG]Trust the Critics: Generatorless and Multipurpose WGANs with Initial Convergence Guarantees
    Tristan Milne, Étienne Bilocq, Adrian Nachman
    http://arxiv.org/abs/2111.15099v1

    • [cs.LG]gCastle: A Python Toolbox for Causal Discovery
    Keli Zhang, Shengyu Zhu, Marcus Kalander, Ignavier Ng, Junjian Ye, Zhitang Chen, Lujia Pan
    http://arxiv.org/abs/2111.15155v1

    • [cs.LG]p2pGNN: A Decentralized Graph Neural Network for Node Classification in Peer-to-Peer Networks
    Emmanouil Krasanakis, Symeon Papadopoulos, Ioannis Kompatsiaris
    http://arxiv.org/abs/2111.14837v1

    • [cs.NE]2D-Motion Detection using SNNs with Graphene-Insulator-Graphene Memristive Synapses
    Shubham Pande, Karthi Srinivasan, Suresh Balanethiram, Bhaswar Chakrabarti, Anjan Chakravorty
    http://arxiv.org/abs/2111.15250v1

    • [cs.NI]DeepCQ+: Robust and Scalable Routing with Multi-Agent Deep Reinforcement Learning for Highly Dynamic Networks
    Saeed Kaviani, Bo Ryu, Ejaz Ahmed, Kevin Larson, Anh Le, Alex Yahja, Jae H. Kim
    http://arxiv.org/abs/2111.15013v1

    • [cs.NI]MAMRL: Exploiting Multi-agent Meta Reinforcement Learning in WAN Traffic Engineering
    Shan Sun, Mariam Kiran, Wei Ren
    http://arxiv.org/abs/2111.15087v1

    • [cs.RO]Ankle Torque During Mid-Stance Does Not Lower Energy Requirements of Steady Gaits
    Mike Hector, Kevin Green, Burak Sencer, Jonathan Hurst
    http://arxiv.org/abs/2111.14987v1

    • [cs.RO]ColibriDoc: An Eye-in-Hand Autonomous Trocar Docking System
    Shervin Dehghani, Michael Sommersperger, Junjie Yang, Benjamin Busam, Kai Huang, Peter Gehlbach, Iulian Iordachita, Nassir Navab, M. Ali Nasseri
    http://arxiv.org/abs/2111.15373v1

    • [cs.RO]Design and Control of a Recovery System for Legged Robots
    Kevin Green, Nils Smit-Anseeuw, Rodney Gleason, C. David Remy
    http://arxiv.org/abs/2111.14972v1

    • [cs.RO]Fast and Real-time End to End Control in Autonomous Racing Cars Through Representation Learning
    Praveen Venkatesh, Rwik Rana, Harish PM
    http://arxiv.org/abs/2111.15343v1

    • [cs.RO]LEGS: Learning Efficient Grasp Sets for Exploratory Grasping
    Letian Fu, Michael Danielczuk, Ashwin Balakrishna, Daniel S. Brown, Jeffrey Ichnowski, Eugen Solowjow, Ken Goldberg
    http://arxiv.org/abs/2111.15002v1

    • [cs.RO]MIXER: A Principled Framework for Multimodal, Multiway Data Association
    Parker C. Lusk, Ronak Roy, Kaveh Fathian, Jonathan P. How
    http://arxiv.org/abs/2111.14990v1

    • [cs.RO]Material Classification Using Active Temperature Controllable Robotic Gripper
    Yukiko Osawa, Kei Kase, Yukiyasu Domae, Yoshiyuki Furukawa, Abderrahmane Kheddar
    http://arxiv.org/abs/2111.15344v1

    • [cs.RO]Metal Blossom: Laser Forming Complex and Freeform Metal Structures Imitating Flower Blooming
    Yue Hao, Peiwen J. Ma, Huaishu Peng, Edwin A. Peraza Hernandez, Jyh-Ming Lien
    http://arxiv.org/abs/2111.15083v1

    • [cs.RO]RailLoMer: Rail Vehicle Localization and Mapping with LiDAR-IMU-Odometer-GNSS Data Fusion
    Yusheng Wang, Yidong Lou, Yi Zhang, Weiwei Song, Fei Huang, Zhiyong Tu, Shimin Zhang
    http://arxiv.org/abs/2111.15043v1

    • [cs.RO]SAGCI-System: Towards Sample-Efficient, Generalizable, Compositional, and Incremental Robot Learning
    Jun Lv, Qiaojun Yu, Lin Shao, Wenhai Liu, Wenqiang Xu, Cewu Lu
    http://arxiv.org/abs/2111.14693v2

    • [cs.RO]Transition Motion Tensor: A Data-Driven Approach for Versatile and Controllable Agents in Physically Simulated Environments
    Jonathan Hans Soeseno, Ying-Sheng Luo, Trista Pei-Chun Chen, Wei-Chao Chen
    http://arxiv.org/abs/2111.15072v1

    • [cs.RO]WALK-VIO: Walking-motion-Adaptive Leg Kinematic Constraint Visual-Inertial Odometry for Quadruped Robots
    Hyunjun Lim, Byeongho Yu, Yeeun Kim, Joowoong Byun, Soonpyo Kwon, Haewon Park, Hyun Myung
    http://arxiv.org/abs/2111.15164v1

    • [cs.SD]Catch Me If You Hear Me: Audio-Visual Navigation in Complex Unmapped Environments with Moving Sounds
    Abdelrahman Younes, Daniel Honerkamp, Tim Welschehold, Abhinav Valada
    http://arxiv.org/abs/2111.14843v1

    • [cs.SD]CycleTransGAN-EVC: A CycleGAN-based Emotional Voice Conversion Model with Transformer
    Changzeng Fu, Chaoran Liu, Carlos Toshinori Ishi, Hiroshi Ishiguro
    http://arxiv.org/abs/2111.15159v1

    • [cs.SI]A Computational Social Science Approach to Understanding Predictors of Chafee Service Receipt
    Jason Yan, Melanie Sage, Seventy F. Hall, Yuhao Du, Kenneth Joseph
    http://arxiv.org/abs/2111.14901v1

    • [cs.SI]A Sketch Based Game Theoretic Approach to Detect Anomalous Dense Sub-Communities in Large Data Streams
    Prateek Chanda, Aadirupa Saha
    http://arxiv.org/abs/2111.15525v1

    • [cs.SI]COREATTACK: Breaking Up the Core Structure of Graphs
    Bo Zhou, Yuqian Lv, Jinhuan Wang, Jian Zhang, Qi Xuan
    http://arxiv.org/abs/2111.15276v1

    • [cs.SI]Core but not peripheral online social ties is a protective factor against depression: evidence from a nationally representative sample of young adults
    Sofia Dokuka, Elizaveta Sivak, Ivan Smirnov
    http://arxiv.org/abs/2111.15070v1

    • [cs.SI]Improving random walk rankings with feature selection and imputation
    Ngoc Mai Tran, Yangxinyu Xie
    http://arxiv.org/abs/2111.15635v1

    • [cs.SI]Promises and Pitfalls of a New Early Warning System for Gentrification in Buffalo, NY
    Jan Voltaire Vergara, Maria Y. Rodriguez, Ehren Dohler, Jonathan Phillips, Melissa Villodas, Amy Blank Wilson, Kenneth Joseph
    http://arxiv.org/abs/2111.14915v1

    • [cs.SI]Scalable Community Extraction of Text Networks for Automated Grouping in Medical Databases
    Tomilayo Komolafe, Allan Fong, Srijan Sengupta
    http://arxiv.org/abs/2111.15633v1

    • [cs.SI]Δ-Conformity: Multi-scale Node Assortativity in Feature-rich Stream Graphs
    Salvatore Citraro, Letizia Milli, Rémy Cazabet, Giulio Rossetti
    http://arxiv.org/abs/2111.15534v1

    • [econ.EM]Modelling hetegeneous treatment effects by quantitle local polynomial decision tree and forest
    Lai Xinglin
    http://arxiv.org/abs/2111.15320v1

    • [eess.AS]Do We Still Need Automatic Speech Recognition for Spoken Language Understanding?
    Lasse Borgholt, Jakob Drachmann Havtorn, Mostafa Abdou, Joakim Edin, Lars Maaløe, Anders Søgaard, Christian Igel
    http://arxiv.org/abs/2111.14842v1

    • [eess.IV]Assessment of Data Consistency through Cascades of Independently Recurrent Inference Machines for fast and robust accelerated MRI reconstruction
    D. Karkalousos, S. Noteboom, H. E. Hulst, F. M. Vos, M. W. A. Caan
    http://arxiv.org/abs/2111.15498v1

    • [eess.IV]Contrastive Learning for Local and Global Learning MRI Reconstruction
    Qiaosi Yi, Jinhao Liu, Le Hu, Faming Fang, Guixu Zhang
    http://arxiv.org/abs/2111.15200v1

    • [eess.IV]Fully Automatic Deep Learning Framework for Pancreatic Ductal Adenocarcinoma Detection on Computed Tomography
    Natália Alves, Megan Schuurmans, Geke Litjens, Joeran S. Bosma, John Hermans, Henkjan Huisman
    http://arxiv.org/abs/2111.15409v1

    • [eess.IV]High-Speed Light Focusing through Scattering Medium by Cooperatively Accelerated Genetic Algorithm
    Shu Guo, Lin Pang
    http://arxiv.org/abs/2111.14916v1

    • [eess.IV]Improving the Segmentation of Pediatric Low-Grade Gliomas through Multitask Learning
    Partoo Vafaeikia, Matthias W. Wagner, Uri Tabori, Birgit B. Ertl-Wagner, Farzad Khalvati
    http://arxiv.org/abs/2111.14959v1

    • [eess.IV]Localized Perturbations For Weakly-Supervised Segmentation of Glioma Brain Tumours
    Sajith Rajapaksa, Farzad Khalvati
    http://arxiv.org/abs/2111.14953v1

    • [eess.SP]Generating gapless land surface temperature with a high spatio-temporal resolution by fusing multi-source satellite-observed and model-simulated data
    Jun Ma, Huanfeng Shen, Penghai Wu, Jingan Wu, Meiling Gao, Chunlei Meng
    http://arxiv.org/abs/2111.15636v1

    • [eess.SY]A Natural Language Processing and Deep Learning based Model for Automated Vehicle Diagnostics using Free-Text Customer Service Reports
    Ali Khodadadi, Soroush Ghandiparsi, Chen-Nee Chuah
    http://arxiv.org/abs/2111.14977v1

    • [eess.SY]Double Fuzzy Probabilistic Interval Linguistic Term Set and a Dynamic Fuzzy Decision Making Model based on Markov Process with tts Application in Multiple Criteria Group Decision Making
    Zongmin Liu
    http://arxiv.org/abs/2111.15255v1

    • [hep-ph]Studying Hadronization by Machine Learning Techniques
    Gábor Bíró, Bence Tankó-Bartalis, Gergely Gábor Barnaföldi
    http://arxiv.org/abs/2111.15655v1

    • [math.GN]Homomorphic encoders of profinite abelian groups II
    María V. Ferrer, Salvador Hernández
    http://arxiv.org/abs/2111.15586v1

    • [math.GT]The signature and cusp geometry of hyperbolic knots
    Alex Davies, András Juhász, Marc Lackenby, Nenad Tomasev
    http://arxiv.org/abs/2111.15323v1

    • [math.NA]Rigorous data-driven computation of spectral properties of Koopman operators for dynamical systems
    Matthew J. Colbrook, Alex Townsend
    http://arxiv.org/abs/2111.14889v1

    • [math.OC]An Exact Algorithm for Semi-supervised Minimum Sum-of-Squares Clustering
    Veronica Piccialli, Anna Russo Russo, Antonio M. Sudoso
    http://arxiv.org/abs/2111.15571v1

    • [math.OC]Asymptotically Optimal Sampling Policy for Selecting Top-m Alternatives
    Gongbo Zhang, Yijie Peng, Jianghua Zhang, Enlu Zhou
    http://arxiv.org/abs/2111.15172v1

    • [math.OC]Efficient and robust high-dimensional sparse logistic regression via nonlinear primal-dual hybrid gradient algorithms
    Jérôme Darbon, Gabriel P. Langlois
    http://arxiv.org/abs/2111.15426v1

    • [math.OC]Survey Descent: A Multipoint Generalization of Gradient Descent for Nonsmooth Optimization
    X. Y. Han, Adrian S. Lewis
    http://arxiv.org/abs/2111.15645v1

    • [math.ST]A Fast Non-parametric Approach for Causal Structure Learning in Polytrees
    Mona Azadkia, Armeen Taeb, Peter Bühlmann
    http://arxiv.org/abs/2111.14969v1

    • [math.ST]Center-Outward Sign- and Rank-Based Quadrant, Spearman, and Kendall Tests for Multivariate Independence
    Hongjian Shi, Mathias Drton, Marc Hallin, Fang Han
    http://arxiv.org/abs/2111.15567v1

    • [math.ST]Linear functional estimation under multiplicative measurement errors
    Sergio Brenner Miguel, Fabienne Comte, Jan Johannes
    http://arxiv.org/abs/2111.14920v1

    • [math.ST]Parameter estimation for an Ornstein-Uhlenbeck Process driven by a general Gaussian noise with Hurst Parameter 今日学术视野(2021.12.2) - 图4#card=math&code=H%5Cin%20%280%2C%5Cfrac12%29&id=nhK58)
    Yong Chen, Xiangmeng Gu, Ying Li
    http://arxiv.org/abs/2111.15292v1

    • [physics.ao-ph]Surrogate-based optimization using an artificial neural network for a parameter identification in a 3D marine ecosystem model
    Markus Pfeil, Thomas Slawig
    http://arxiv.org/abs/2111.15597v1

    • [physics.app-ph]HyperPCA: a Powerful Tool to Extract Elemental Maps from Noisy Data Obtained in LIBS Mapping of Materials
    Riccardo Finotello, Mohamed Tamaazousti, Jean-Baptiste Sirven
    http://arxiv.org/abs/2111.15187v1

    • [physics.comp-ph]Learning Large-Time-Step Molecular Dynamics with Graph Neural Networks
    Tianze Zheng, Weihao Gao, Chong Wang
    http://arxiv.org/abs/2111.15176v1

    • [physics.med-ph]Robust and Automated Method for Spike Detection and Removal in Magnetic Resonance Imaging
    David S. Smith, Joel Kullberg, Johan Berglund, Malcolm J. Avison, E. Brian Welch
    http://arxiv.org/abs/2111.15471v1

    • [physics.med-ph]X-ray Dissectography Enables Stereotography to Improve Diagnostic Performance
    Chuang Niu, Ge Wang
    http://arxiv.org/abs/2111.15040v1

    • [physics.optics]Playing Ping Pong with Light: Directional Emission of White Light
    Heribert Wankerl, Christopher Wiesmann, Laura Kreiner, Rainer Butendeich, Alexander Luce, Sandra Sobczyk, Maike Lorena Stern, Elmar Wolfgang Lang
    http://arxiv.org/abs/2111.15486v1

    • [physics.optics]Sparse deep computer-generated holography for optical microscopy
    Alex Liu, Laura Waller, Yi Xue
    http://arxiv.org/abs/2111.15178v1

    • [q-bio.GN]SurvODE: Extrapolating Gene Expression Distribution for Early Cancer Identification
    Tong Chen, Sheng Wang
    http://arxiv.org/abs/2111.15080v1

    • [q-bio.NC]Emotions as abstract evaluation criteria in biological and artificial intelligences
    Claudius Gros
    http://arxiv.org/abs/2111.15275v1

    • [q-fin.ST]A Review on Graph Neural Network Methods in Financial Applications
    Jianian Wang, Sheng Zhang, Yanghua Xiao, Rui Song
    http://arxiv.org/abs/2111.15367v1

    • [quant-ph]On the challenges of using D-Wave computers to sample Boltzmann Random Variables
    Thomas Pochart, Paulin Jacquot, Joseph Mikael
    http://arxiv.org/abs/2111.15295v1

    • [quant-ph]Synthetic weather radar using hybrid quantum-classical machine learning
    Graham R. Enos, Matthew J. Reagor, Maxwell P. Henderson, Christina Young, Kyle Horton, Mandy Birch, Chad Rigetti
    http://arxiv.org/abs/2111.15605v1

    • [quant-ph]The Quantum Multiple-Access Channel with Cribbing Encoders
    Uzi Pereg, Christian Deppe, Holger Boche
    http://arxiv.org/abs/2111.15589v1

    • [stat.AP]Log-Gaussian Cox Process Modeling of Large Spatial Lightning Data using Spectral and Laplace Approximations
    Megan L. Gelsinger, Maryclare Griffin, David S. Matteson, Joseph Guinness
    http://arxiv.org/abs/2111.15670v1

    • [stat.AP]Validating CircaCP: a Generic Sleep-Wake Cycle Detection Algorithm
    Shanshan Chen, Xinxin Sun
    http://arxiv.org/abs/2111.14960v1

    • [stat.CO]Application of Equal Local Levels to Improve Q-Q Plot Testing Bands with R Package qqconf
    Eric Weine, Mary Sara McPeek, Mark Abney
    http://arxiv.org/abs/2111.15082v1

    • [stat.CO]Convergence Rate of Multiple-try Metropolis Independent sampler
    Xiaodong Yang, Jun S. Liu
    http://arxiv.org/abs/2111.15084v1

    • [stat.ME]A Convex-Nonconvex Strategy for Grouped Variable Selection
    Xiaoqian Liu, Aaron J. Molstad, Eric C. Chi
    http://arxiv.org/abs/2111.15075v1

    • [stat.ME]A Differentially Private Bayesian Approach to Replication Analysis
    Chengxin Yang, Jerome P. Reiter
    http://arxiv.org/abs/2111.13378v2

    • [stat.ME]A Hierarchical Geodesic Model for Longitudinal Analysis on Manifolds
    Esfandiar Nava-Yazdani, Hans-Christian Hege, Christoph von Tycowicz
    http://arxiv.org/abs/2111.15371v1

    • [stat.ME]A Kernel Test for Causal Association via Noise Contrastive Backdoor Adjustment
    Robert Hu, Dino Sejdinovic, Robin J. Evans
    http://arxiv.org/abs/2111.13226v2

    • [stat.ME]A Variational Inference Approach to Inverse Problems with Gamma Hyperpriors
    Shiv Agrawal, Hwanwoo Kim, Daniel Sanz-Alonso, Alexander Strang
    http://arxiv.org/abs/2111.13329v2

    • [stat.ME]Adaptive Combination of Randomized and Observational Data
    David Cheng, Tianxi Cai
    http://arxiv.org/abs/2111.15012v1

    • [stat.ME]Confidence regions for univariate and multivariate data using permutation tests
    Niels Lundtorp Olsen
    http://arxiv.org/abs/2111.14966v1

    • [stat.ME]Contrasting Identifying Assumptions of Average Causal Effects: Robustness and Semiparametric Efficiency
    Tetiana Gorbach, Xavier de Luna, Juha Karvanen, Ingeborg Waernbaum
    http://arxiv.org/abs/2111.15233v1

    • [stat.ME]Efficiency of Regression (Un)-Adjusted Rosenbaum’s Rank-based Estimator in Randomized Experiments
    Aditya Ghosh, Nabarun Deb, Bikram Karmakar, Bodhisattva Sen
    http://arxiv.org/abs/2111.15524v1

    • [stat.ME]Efficient Estimation Under Data Fusion
    Sijia Li, Alex Luedtke
    http://arxiv.org/abs/2111.14945v1

    • [stat.ME]Model-based clustering via skewed matrix-variate cluster-weighted models
    Michael P. B. Gallaugher, Salvatore D. Tomarchio, Paul D. McNicholas, Antonio Punzo
    http://arxiv.org/abs/2111.14952v1

    • [stat.ME]Scalable Semiparametric Spatio-temporal Regression for Large Data Analysis
    Ting Fung Ma, Fangfang Wang, Jun Zhu, Anthony R. Ives, Katarzyna E. Lewińska
    http://arxiv.org/abs/2111.15086v1

    • [stat.ML]Bayesian Modelling of Multivalued Power Curves from an Operational Wind Farm
    L. A. Bull, P. A. Gardner, T. J. Rogers, N. Dervilis, E. J. Cross, E. Papatheou, A. E. Maguire, C. Campos, K. Worden
    http://arxiv.org/abs/2111.15496v1

    • [stat.ML]Decoding the Protein-ligand Interactions Using Parallel Graph Neural Networks
    Carter Knutson, Mridula Bontha, Jenna A. Bilbrey, Neeraj Kumar
    http://arxiv.org/abs/2111.15144v1

    • [stat.ML]Second-order Approximation of Minimum Discrimination Information in Independent Component Analysis
    YunPeng Li
    http://arxiv.org/abs/2111.15060v1