cs.AI - 人工智能
cs.CC - 计算复杂度
cs.CL - 计算与语言
cs.CR - 加密与安全
cs.CV - 机器视觉与模式识别
cs.CY - 计算与社会
cs.DC - 分布式、并行与集群计算
cs.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.MM - 多媒体
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
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.MG -公制几何
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.flu-dyn - 流体动力学
q-bio.BM - 生物分子
quant-ph - 量子物理
stat.AP - 应用统计
stat.CO - 统计计算
stat.ME - 统计方法论
stat.ML - (统计)机器学习
• [cs.AI]A Novel Approach to Solving Goal-Achieving Problems for Board Games
• [cs.AI]An Effective GCN-based Hierarchical Multi-label classification for Protein Function Prediction
• [cs.AI]Artificial Cognitively-inspired Generation of the Notion of Topological Group in the Context of Artificial Mathematical Intelligence
• [cs.AI]BERTMap: A BERT-based Ontology Alignment System
• [cs.AI]Consistent Training and Decoding For End-to-end Speech Recognition Using Lattice-free MMI
• [cs.AI]Intention Recognition for Multiple Agents
• [cs.AI]Invitation in Crowdsourcing Contests
• [cs.AI]Lecture Notes on Partially Known MDPs
• [cs.AI]LoNLI: An Extensible Framework for Testing Diverse Logical Reasoning Capabilities for NLI
• [cs.AI]On the complexity of Dark Chinese Chess
• [cs.AI]Open Vocabulary Electroencephalography-To-Text Decoding and Zero-shot Sentiment Classification
• [cs.AI]Player of Games
• [cs.AI]Requirements for Open Political Information: Transparency Beyond Open Data
• [cs.AI]Simulation Intelligence: Towards a New Generation of Scientific Methods
• [cs.AI]Tele-EvalNet: A Low-cost, Teleconsultation System for Home based Rehabilitation of Stroke Survivors using Multiscale CNN-LSTM Architecture
• [cs.CC]On Complexity of 1-Center in Various Metrics
• [cs.CC]The Complexity of Data-Driven Norm Synthesis and Revision
• [cs.CL]”Stop Asian Hate!” : Refining Detection of Anti-Asian Hate Speech During the COVID-19 Pandemic
• [cs.CL]A Russian Jeopardy! Data Set for Question-Answering Systems
• [cs.CL]Achieving Forgetting Prevention and Knowledge Transfer in Continual Learning
• [cs.CL]An unsupervised extractive summarization method based on multi-round computation
• [cs.CL]CLASSIC: Continual and Contrastive Learning of Aspect Sentiment Classification Tasks
• [cs.CL]Causal Distillation for Language Models
• [cs.CL]Contextual Multi-View Query Learning for Short Text Classification in User-Generated Data
• [cs.CL]Controllable Response Generation for Assistive Use-cases
• [cs.CL]Differentiating Approach and Avoidance from Traditional Notions of Sentiment in Economic Contexts
• [cs.CL]Emojich — zero-shot emoji generation using Russian language: a technical report
• [cs.CL]Exploratory Data Analysis of Urdu Poetry
• [cs.CL]Fast and Accurate Span-based Semantic Role Labeling as Graph Parsing
• [cs.CL]Hierarchical Neural Data Synthesis for Semantic Parsing
• [cs.CL]Human Parity on CommonsenseQA: Augmenting Self-Attention with External Attention
• [cs.CL]Impact of Target Word and Context on End-to-End Metonymy Detection
• [cs.CL]Interpretable Privacy Preservation of Text Representations Using Vector Steganography
• [cs.CL]JointLK: Joint Reasoning with Language Models and Knowledge Graphs for Commonsense Question Answering
• [cs.CL]NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation
• [cs.CL]Quantifying Adaptability in Pre-trained Language Models with 500 Tasks
• [cs.CL]Search and Learn: Improving Semantic Coverage for Data-to-Text Generation
• [cs.CL]Team Hitachi @ AutoMin 2021: Reference-free Automatic Minuting Pipeline with Argument Structure Construction over Topic-based Summarization
• [cs.CL]The Linear Arrangement Library. A new tool for research on syntactic dependency structures
• [cs.CL]Unsupervised Law Article Mining based on Deep Pre-Trained Language Representation Models with Application to the Italian Civil Code
• [cs.CL]VAE based Text Style Transfer with Pivot Words Enhancement Learning
• [cs.CL]Zero-shot hashtag segmentation for multilingual sentiment analysis
• [cs.CR]A Game-Theoretic Approach for AI-based Botnet Attack Defence
• [cs.CR]Can OpenAI Codex and Other Large Language Models Help Us Fix Security Bugs?
• [cs.CR]Fast and Secure Key Generation with Channel Obfuscation in Slowly Varying Environments
• [cs.CR]My(o) Armband Leaks Passwords: An EMG and IMU Based Keylogging Side-Channel Attack
• [cs.CR]PAN-DOMAIN: Privacy-preserving Sharing and Auditing of Infection Identifier Matching
• [cs.CR]PhishMatch: A Layered Approach for Effective Detection of Phishing URLs
• [cs.CR]Protecting Intellectual Property of Language Generation APIs with Lexical Watermark
• [cs.CR]SHAPr: An Efficient and Versatile Membership Privacy Risk Metric for Machine Learning
• [cs.CR]Towards automated verification of multi-party consensus protocols
• [cs.CR]Using Static and Dynamic Malware features to perform Malware Ascription
• [cs.CV]3D Hierarchical Refinement and Augmentation for Unsupervised Learning of Depth and Pose from Monocular Video
• [cs.CV]3rd Place: A Global and Local Dual Retrieval Solution to Facebook AI Image Similarity Challenge
• [cs.CV]4DContrast: Contrastive Learning with Dynamic Correspondences for 3D Scene Understanding
• [cs.CV]A Dataset-free Self-supervised Disentangled Learning Method for Adaptive Infrared and Visible Images Super-resolution Fusion
• [cs.CV]A Generalized Zero-Shot Quantization of Deep Convolutional Neural Networks via Learned Weights Statistics
• [cs.CV]A Survey of Deep Learning for Low-Shot Object Detection
• [cs.CV]A Survey on Deep learning based Document Image Enhancement
• [cs.CV]A Tale of Color Variants: Representation and Self-Supervised Learning in Fashion E-Commerce
• [cs.CV]A hybrid convolutional neural network/active contour approach to segmenting dead trees in aerial imagery
• [cs.CV]ALIKE: Accurate and Lightweight Keypoint Detection and Descriptor Extraction
• [cs.CV]Ablation study of self-supervised learning for image classification
• [cs.CV]ActiveZero: Mixed Domain Learning for Active Stereovision with Zero Annotation
• [cs.CV]Adaptive Channel Encoding Transformer for Point Cloud Analysis
• [cs.CV]Adaptive Channel Encoding for Point Cloud Analysis
• [cs.CV]Adjusting the Ground Truth Annotations for Connectivity-Based Learning to Delineate
• [cs.CV]An Annotated Video Dataset for Computing Video Memorability
• [cs.CV]Anomaly Detection in IR Images of PV Modules using Supervised Contrastive Learning
• [cs.CV]BAANet: Learning Bi-directional Adaptive Attention Gates for Multispectral Pedestrian Detection
• [cs.CV]Behind the Curtain: Learning Occluded Shapes for 3D Object Detection
• [cs.CV]Boosting Mobile CNN Inference through Semantic Memory
• [cs.CV]CSG0: Continual Urban Scene Generation with Zero Forgetting
• [cs.CV]Channel Exchanging Networks for Multimodal and Multitask Dense Image Prediction
• [cs.CV]Clue Me In: Semi-Supervised FGVC with Out-of-Distribution Data
• [cs.CV]Construct Informative Triplet with Two-stage Hard-sample Generation
• [cs.CV]Context-Aware Transfer Attacks for Object Detection
• [cs.CV]Controllable Animation of Fluid Elements in Still Images
• [cs.CV]Cross-Modality Attentive Feature Fusion for Object Detection in Multispectral Remote Sensing Imagery
• [cs.CV]Deblurring via Stochastic Refinement
• [cs.CV]Dense Extreme Inception Network for Edge Detection
• [cs.CV]Diffusion Models for Implicit Image Segmentation Ensembles
• [cs.CV]DoodleFormer: Creative Sketch Drawing with Transformers
• [cs.CV]Dual-Flow Transformation Network for Deformable Image Registration with Region Consistency Constraint
• [cs.CV]Dynamic Token Normalization Improves Vision Transformer
• [cs.CV]Embedding Arithmetic for Text-driven Image Transformation
• [cs.CV]Encouraging Disentangled and Convex Representation with Controllable Interpolation Regularization
• [cs.CV]End-to-End Segmentation via Patch-wise Polygons Prediction
• [cs.CV]Ethics and Creativity in Computer Vision
• [cs.CV]Face Reconstruction with Variational Autoencoder and Face Masks
• [cs.CV]Face Trees for Expression Recognition
• [cs.CV]Facial Emotion Characterization and Detection using Fourier Transform and Machine Learning
• [cs.CV]Feature-based Recognition Framework for Super-resolution Images
• [cs.CV]Forward Compatible Training for Representation Learning
• [cs.CV]Fusion Detection via Distance-Decay IoU and weighted Dempster-Shafer Evidence Theory
• [cs.CV]GETAM: Gradient-weighted Element-wise Transformer Attention Map for Weakly-supervised Semantic segmentation
• [cs.CV]Gated2Gated: Self-Supervised Depth Estimation from Gated Images
• [cs.CV]General Facial Representation Learning in a Visual-Linguistic Manner
• [cs.CV]Generalized Binary Search Network for Highly-Efficient Multi-View Stereo
• [cs.CV]Global-Local Context Network for Person Search
• [cs.CV]HIVE: Evaluating the Human Interpretability of Visual Explanations
• [cs.CV]HumanNeRF: Generalizable Neural Human Radiance Field from Sparse Inputs
• [cs.CV]Implicit Data Augmentation Using Feature Interpolation for Diversified Low-Shot Image Generation
• [cs.CV]Implicit Neural Deformation for Multi-View Face Reconstruction
• [cs.CV]Input-level Inductive Biases for 3D Reconstruction
• [cs.CV]Interactive Disentanglement: Learning Concepts by Interacting with their Prototype Representations
• [cs.CV]Interpretable Image Classification with Differentiable Prototypes Assignment
• [cs.CV]Joint Symmetry Detection and Shape Matching for Non-Rigid Point Cloud
• [cs.CV]LAVT: Language-Aware Vision Transformer for Referring Image Segmentation
• [cs.CV]LTT-GAN: Looking Through Turbulence by Inverting GANs
• [cs.CV]Label Hierarchy Transition: Modeling Class Hierarchies to Enhance Deep Classifiers
• [cs.CV]Label-Efficient Semantic Segmentation with Diffusion Models
• [cs.CV]Learning Query Expansion over the Nearest Neighbor Graph
• [cs.CV]Learning Tracking Representations via Dual-Branch Fully Transformer Networks
• [cs.CV]Learning to Reason from General Concepts to Fine-grained Tokens for Discriminative Phrase Detection
• [cs.CV]Letter-level Online Writer Identification
• [cs.CV]Make It Move: Controllable Image-to-Video Generation with Text Descriptions
• [cs.CV]Making a Bird AI Expert Work for You and Me
• [cs.CV]MetaCloth: Learning Unseen Tasks of Dense Fashion Landmark Detection from a Few Samples
• [cs.CV]MoFaNeRF: Morphable Facial Neural Radiance Field
• [cs.CV]MobRecon: Mobile-Friendly Hand Mesh Reconstruction from Monocular Image
• [cs.CV]Neural Photometry-guided Visual Attribute Transfer
• [cs.CV]Next Day Wildfire Spread: A Machine Learning Data Set to Predict Wildfire Spreading from Remote-Sensing Data
• [cs.CV]No-Reference Point Cloud Quality Assessment via Domain Adaptation
• [cs.CV]One-shot Talking Face Generation from Single-speaker Audio-Visual Correlation Learning
• [cs.CV]PP-MSVSR: Multi-Stage Video Super-Resolution
• [cs.CV]PSI: A Pedestrian Behavior Dataset for Socially Intelligent Autonomous Car
• [cs.CV]PTTR: Relational 3D Point Cloud Object Tracking with Transformer
• [cs.CV]PointCLIP: Point Cloud Understanding by CLIP
• [cs.CV]PolyphonicFormer: Unified Query Learning for Depth-aware Video Panoptic Segmentation
• [cs.CV]Pose-guided Feature Disentangling for Occluded Person Re-identification Based on Transformer
• [cs.CV]RADA: Robust Adversarial Data Augmentation for Camera Localization in Challenging Weather
• [cs.CV]Real-time Registration and Reconstruction with Cylindrical LiDAR Images
• [cs.CV]Reliable Propagation-Correction Modulation for Video Object Segmentation
• [cs.CV]SITA: Single Image Test-time Adaptation
• [cs.CV]SSAGCN: Social Soft Attention Graph Convolution Network for Pedestrian Trajectory Prediction
• [cs.CV]STSM: Spatio-Temporal Shift Module for Efficient Action Recognition
• [cs.CV]Scanpath Prediction on Information Visualisations
• [cs.CV]Seeing BDD100K in dark: Single-Stage Night-time Object Detection via Continual Fourier Contrastive Learning
• [cs.CV]SelectAugment: Hierarchical Deterministic Sample Selection for Data Augmentation
• [cs.CV]Semantic Segmentation In-the-Wild Without Seeing Any Segmentation Examples
• [cs.CV]Simple Adaptive Projection with Pretrained Features for Anomaly Detection
• [cs.CV]Simultaneously Predicting Multiple Plant Traits from Multiple Sensors via Deformable CNN Regression
• [cs.CV]SyntEO: Synthetic Dataset Generation for Earth Observation with Deep Learning — Demonstrated for Offshore Wind Farm Detection
• [cs.CV]Temporal-Spatial Causal Interpretations for Vision-Based Reinforcement Learning
• [cs.CV]Text2Mesh: Text-Driven Neural Stylization for Meshes
• [cs.CV]Texture Reformer: Towards Fast and Universal Interactive Texture Transfer
• [cs.CV]The artificial synesthete: Image-melody translations with variational autoencoders
• [cs.CV]Toward Practical Self-Supervised Monocular Indoor Depth Estimation
• [cs.CV]TransCMD: Cross-Modal Decoder Equipped with Transformer for RGB-D Salient Object Detection
• [cs.CV]U2-Former: A Nested U-shaped Transformer for Image Restoration
• [cs.CV]Unsupervised Adaptation of Semantic Segmentation Models without Source Data
• [cs.CV]Unsupervised Domain Adaptation for Semantic Image Segmentation: a Comprehensive Survey
• [cs.CV]Unsupervised Domain Generalization by Learning a Bridge Across Domains
• [cs.CV]VT-CLIP: Enhancing Vision-Language Models with Visual-guided Texts
• [cs.CV]Visual Object Tracking with Discriminative Filters and Siamese Networks: A Survey and Outlook
• [cs.CY]Analyzing a Carceral Algorithm used by the Pennsylvania Department of Corrections
• [cs.CY]Staring Down the Digital Fulda Gap Path Dependency as a Cyber Defense Vulnerability
• [cs.DC]A Meta-Theorem for Distributed Certification
• [cs.DC]A Taxonomy of Live Migration Management in Cloud Computing
• [cs.DC]Container Orchestration Techniques in Cloud and Edge/Fog Computing Environments
• [cs.DC]Distributed Interactive Proofs for the Recognition of Some Geometric Intersection Graph Classes
• [cs.DC]End-to-end Adaptive Distributed Training on PaddlePaddle
• [cs.DC]Invalidation-Based Protocols for Replicated Datastores
• [cs.DC]Online Social Welfare Maximization with Spatio-Temporal Resource Mesh for Serverless
• [cs.DC]PreGAN: Preemptive Migration Prediction Network for Proactive Fault-Tolerant Edge Computing
• [cs.DC]SIMD-Optimized Search Over Sorted Data
• [cs.DC]Towards Aggregated Asynchronous Checkpointing
• [cs.DL]Grappling with the Scale of Born-Digital Government Publications: Toward Pipelines for Processing and Searching Millions of PDFs
• [cs.DL]International Conferences of Bibliometrics
• [cs.DL]The h-index
• [cs.DS]A Novel Prediction Setup for Online Speed-Scaling
• [cs.DS]Modification-Fair Cluster Editing
• [cs.ET]Optimizing Write Fidelity of MRAMs via Iterative Water-filling Algorithm
• [cs.HC]Dynamic Bayesian Network Modelling of User Affect and Perceptions of a Teleoperated Robot Coach during Longitudinal Mindfulness Training
• [cs.HC]In Search of Ambiguity: A Three-Stage Workflow Design to Clarify Annotation Guidelines for Crowd Workers
• [cs.HC]PyBryt: auto-assessment and auto-grading for computational thinking
• [cs.IR]A General Framework for Debiasing in CTR Prediction
• [cs.IR]A Multi-Strategy based Pre-Training Method for Cold-Start Recommendation
• [cs.IR]A comment-derived evidence appraisal approach for decision-making using uncertain evidence
• [cs.IR]Considering user dynamic preferences for mitigating negative effects of long tail in recommender systems
• [cs.IR]Exploring and Mitigating Gender Bias in Recommender Systems with Explicit Feedback
• [cs.IR]Extracting and Measuring Uncertain Biomedical Knowledge from Scientific Statements
• [cs.IR]Learning Reinforced Dynamic Representations for Sequential Recommendation
• [cs.IR]Long-Tail Session-based Recommendation from Calibration
• [cs.IR]MatMat: Matrix Factorization by Matrix Fitting
• [cs.IR]Multiple Interest and Fine Granularity Network for User Modeling
• [cs.IR]Recommender systems: when memory matters
• [cs.IR]Self-supervised Graph Learning for Occasional Group Recommendation
• [cs.IR]Sequential Recommendation with Adaptive Preference Disentanglement
• [cs.IR]Variational Autoencoder with CCA for Audio-Visual Cross-Modal Retrieval
• [cs.IR]Where the Earth is flat and 9/11 is an inside job: A comparative algorithm audit of conspiratorial information in web search results
• [cs.IR]ZeroMat: Solving Cold-start Problem of Recommender System with No Input Data
• [cs.IT]Analysis of Communication Channels Related to Physical Unclonable Functions
• [cs.IT]AoI-Constrained Bandit: Information Gathering over Unreliable Channels with Age Guarantees
• [cs.IT]Capacity Results for MIMO Optical Wireless Communication With Per-Antenna Intensity Constraints
• [cs.IT]Channel Estimation for Large Intelligent Surface-Based Transceiver Using a Parametric Channel Model
• [cs.IT]Configuring Intelligent Reflecting Surface with Performance Guarantees: Blind Beamforming
• [cs.IT]Configuring Intelligent Reflecting Surface with Performance Guarantees: Optimal Beamforming
• [cs.IT]Designing Enhanced Multi-dimensional Constellations for Code-Domain NOMA
• [cs.IT]Ergodic Capacity of IRS-Assisted MIMO Systems with Correlation and Practical Phase-Shift Modeling
• [cs.IT]Favorable Propagation for Massive MIMO with Circular and Cylindrical Antenna Arrays
• [cs.IT]Low c-differential uniformity for functions modified on subfields
• [cs.IT]MIMO Networks with One-Bit ADCs: Receiver Design and Communication Strategies
• [cs.IT]Multi-User Holographic MIMO Surface: Channel Modeling and Spectral Efficiency Analysis
• [cs.IT]Near-optimal bounds for signal recovery from blind phaseless periodic short-time Fourier transform
• [cs.IT]Optimal quaternary #card=math&code=%28r%2C%CE%B4%29&id=CmuLW)-Locally Recoverable Codes: Their Structures and Complete Classification
• [cs.IT]Per-Link Parallel and Distributed Hybrid Beamforming for Multi-User Multi-Cell Massive MIMO Millimeter Wave Full Duplex
• [cs.IT]Semantic Coded Transmission: Architecture, Methodology, and Challenges
• [cs.LG]A Marketplace for Trading AI Models based on Blockchain and Incentives for IoT Data
• [cs.LG]A Novel Sequential Coreset Method for Gradient Descent Algorithms
• [cs.LG]ALX: Large Scale Matrix Factorization on TPUs
• [cs.LG]AdaSTE: An Adaptive Straight-Through Estimator to Train Binary Neural Networks
• [cs.LG]Adaptive label thresholding methods for online multi-label classification
• [cs.LG]Anchoring to Exemplars for Training Mixture-of-Expert Cell Embeddings
• [cs.LG]Anomaly Detection of Wind Turbine Time Series using Variational Recurrent Autoencoders
• [cs.LG]Augmentation-Free Self-Supervised Learning on Graphs
• [cs.LG]Automap: Towards Ergonomic Automated Parallelism for ML Models
• [cs.LG]BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery
• [cs.LG]BenchML: an extensible pipelining framework for benchmarking representations of materials and molecules at scale
• [cs.LG]Benchmark for Out-of-Distribution Detection in Deep Reinforcement Learning
• [cs.LG]Beyond Robustness: Resilience Verification of Tree-Based Classifiers
• [cs.LG]CDGNet: A Cross-Time Dynamic Graph-based Deep Learning Model for Traffic Forecasting
• [cs.LG]Combining Embeddings and Fuzzy Time Series for High-Dimensional Time Series Forecasting in Internet of Energy Applications
• [cs.LG]Contextual Bandit Applications in Customer Support Bot
• [cs.LG]Counterfactual Fairness in Mortgage Lending via Matching and Randomization
• [cs.LG]Curriculum Meta-Learning for Few-shot Classification
• [cs.LG]DANets: Deep Abstract Networks for Tabular Data Classification and Regression
• [cs.LG]DMGCRN: Dynamic Multi-Graph Convolution Recurrent Network for Traffic Forecasting
• [cs.LG]Detecting DeFi Securities Violations from Token Smart Contract Code with Random Forest Classification
• [cs.LG]Distance and Hop-wise Structures Encoding Enhanced Graph Attention Networks
• [cs.LG]Distilled Domain Randomization
• [cs.LG]Distributed Adaptive Learning Under Communication Constraints
• [cs.LG]Diverse, Global and Amortised Counterfactual Explanations for Uncertainty Estimates
• [cs.LG]ED2: An Environment Dynamics Decomposition Framework for World Model Construction
• [cs.LG]ES-dRNN: A Hybrid Exponential Smoothing and Dilated Recurrent Neural Network Model for Short-Term Load Forecasting
• [cs.LG]Efficient Pressure: Improving efficiency for signalized intersections
• [cs.LG]Ensemble and Mixed Learning Techniques for Credit Card Fraud Detection
• [cs.LG]Explainable Deep Learning in Healthcare: A Methodological Survey from an Attribution View
• [cs.LG]Exploring Complicated Search Spaces with Interleaving-Free Sampling
• [cs.LG]Fast Graph Neural Tangent Kernel via Kronecker Sketching
• [cs.LG]Flexible Option Learning
• [cs.LG]Functional Regularization for Reinforcement Learning via Learned Fourier Features
• [cs.LG]GAM Changer: Editing Generalized Additive Models with Interactive Visualization
• [cs.LG]Hierarchical Reinforcement Learning with Timed Subgoals
• [cs.LG]Inf-CP: A Reliable Channel Pruning based on Channel Influence
• [cs.LG]Intelligent Acoustic Module for Autonomous Vehicles using Fast Gated Recurrent approach
• [cs.LG]Intrinisic Gradient Compression for Federated Learning
• [cs.LG]Is Class-Incremental Enough for Continual Learning?
• [cs.LG]Joint Superposition Coding and Training for Federated Learning over Multi-Width Neural Networks
• [cs.LG]KDCTime: Knowledge Distillation with Calibration on InceptionTime for Time-series Classification
• [cs.LG]Keeping it Simple: Language Models can learn Complex Molecular Distributions
• [cs.LG]Learning Generalized Causal Structure in Time-series
• [cs.LG]Logic Shrinkage: Learned FPGA Netlist Sparsity for Efficient Neural Network Inference
• [cs.LG]MDPGT: Momentum-based Decentralized Policy Gradient Tracking
• [cs.LG]ML Attack Models: Adversarial Attacks and Data Poisoning Attacks
• [cs.LG]Math Programming based Reinforcement Learning for Multi-Echelon Inventory Management
• [cs.LG]Multi-scale Feature Learning Dynamics: Insights for Double Descent
• [cs.LG]NN-LUT: Neural Approximation of Non-Linear Operations for Efficient Transformer Inference
• [cs.LG]Neural Pseudo-Label Optimism for the Bank Loan Problem
• [cs.LG]Nonstochastic Bandits with Composite Anonymous Feedback
• [cs.LG]Offline Pre-trained Multi-Agent Decision Transformer: One Big Sequence Model Conquers All StarCraftII Tasks
• [cs.LG]On Submodular Contextual Bandits
• [cs.LG]On the Convergence of Shallow Neural Network Training with Randomly Masked Neurons
• [cs.LG]Optimal No-Regret Learning in Strongly Monotone Games with Bandit Feedback
• [cs.LG]Optimization-Based Separations for Neural Networks
• [cs.LG]Overcome Anterograde Forgetting with Cycled Memory Networks
• [cs.LG]Pairwise Learning for Neural Link Prediction
• [cs.LG]Parameter Efficient Deep Probabilistic Forecasting
• [cs.LG]Physically Consistent Neural Networks for building thermal modeling: theory and analysis
• [cs.LG]Probabilistic Deep Learning to Quantify Uncertainty in Air Quality Forecasting
• [cs.LG]Properties of Minimizing Entropy
• [cs.LG]Prototypical Model with Novel Information-theoretic Loss Function for Generalized Zero Shot Learning
• [cs.LG]Radial Basis Function Approximation with Distributively Stored Data on Spheres
• [cs.LG]Real-time Informative Surgical Skill Assessment with Gaussian Process Learning
• [cs.LG]Robust Active Learning: Sample-Efficient Training of Robust Deep Learning Models
• [cs.LG]STJLA: A Multi-Context Aware Spatio-Temporal Joint Linear Attention Network for Traffic Forecasting
• [cs.LG]STformer: A Noise-Aware Efficient Spatio-Temporal Transformer Architecture for Traffic Forecasting
• [cs.LG]Scaling Up Influence Functions
• [cs.LG]Smart IoT-Biofloc water management system using Decision regression tree
• [cs.LG]Stochastic Local Winner-Takes-All Networks Enable Profound Adversarial Robustness
• [cs.LG]Target Entropy Annealing for Discrete Soft Actor-Critic
• [cs.LG]Thinking Beyond Distributions in Testing Machine Learned Models
• [cs.LG]Towards the One Learning Algorithm Hypothesis: A System-theoretic Approach
• [cs.LG]Training Structured Neural Networks Through Manifold Identification and Variance Reduction
• [cs.LG]TransBoost: A Boosting-Tree Kernel Transfer Learning Algorithm for Improving Financial Inclusion
• [cs.LG]Transfer learning to improve streamflow forecasts in data sparse regions
• [cs.LG]Traversing Time with Multi-Resolution Gaussian Process State-Space Models
• [cs.LG]Trivial bundle embeddings for learning graph representations
• [cs.LG]Two Wrongs Don’t Make a Right: Combating Confirmation Bias in Learning with Label Noise
• [cs.LG]Understanding Dynamic Spatio-Temporal Contexts in Long Short-Term Memory for Road Traffic Speed Prediction
• [cs.LG]Using Convolutional Neural Networks for fault analysis and alleviation in accelerator systems
• [cs.LG]Variational Wasserstein gradient flow
• [cs.LG]When the Curious Abandon Honesty: Federated Learning Is Not Private
• [cs.MA]Unfairness Despite Awareness: Group-Fair Classification with Strategic Agents
• [cs.MM]MoCA: Incorporating Multi-stage Domain Pretraining and Cross-guided Multimodal Attention for Textbook Question Answering
• [cs.NI]Modeling Live Video Streaming: Real-Time Classification, QoE Inference, and Field Evaluation
• [cs.NI]Predicting Bandwidth Utilization on Network Links Using Machine Learning
• [cs.NI]RCP: A Temporal Clustering Algorithm for Real-time Controller Placement in Mobile SDN Systems
• [cs.NI]Sensor as a Company: On Self-Sustaining IoT Commons
• [cs.NI]UniLog: Deploy One Model and Specialize it for All Log Analysis Tasks
• [cs.RO]A Bio-inspired Modular System for Humanoid Posture Control
• [cs.RO]A Dataset of Stationary, Fixed-wing Aircraft on a Collision Course for Vision-Based Sense and Avoid
• [cs.RO]A Low-cost Robot with Autonomous Recharge and Navigation for Weed Control in Fields with Narrow Row Spacing
• [cs.RO]Active Sensing for Search and Tracking: A Review
• [cs.RO]CALVIN: A Benchmark for Language-conditioned Policy Learning for Long-horizon Robot Manipulation Tasks
• [cs.RO]CTIN: Robust Contextual Transformer Network for Inertial Navigation
• [cs.RO]DemoGrasp: Few-Shot Learning for Robotic Grasping with Human Demonstration
• [cs.RO]Feature Disentanglement of Robot Trajectories
• [cs.RO]Flexible-Joint Manipulator Trajectory Tracking with Learned Two-Stage Model employing One-Step Future Prediction
• [cs.RO]Functional Task Tree Generation from a Knowledge Graph to Solve Unseen Problems
• [cs.RO]Improving the Robustness of Reinforcement Learning Policies with Adaptive Control
• [cs.RO]Learning-based Measurement Scheduling for Loosely-Coupled Cooperative Localization
• [cs.RO]Optimal Trajectory Generation for Autonomous Vehicles Under Centripetal Acceleration Constraints for In-lane Driving Scenarios
• [cs.RO]Optimal Vehicle Path Planning Using Quadratic Optimization for Baidu Apollo Open Platform
• [cs.RO]Reinforcement Learning for Navigation of Mobile Robot with LiDAR
• [cs.RO]Stage Conscious Attention Network (SCAN) : A Demonstration-Conditioned Policy for Few-Shot Imitation
• [cs.RO]UAV Formation Preservation for Target Tracking Applications
• [cs.SD]Conditional Deep Hierarchical Variational Autoencoder for Voice Conversion
• [cs.SD]VocBench: A Neural Vocoder Benchmark for Speech Synthesis
• [cs.SD]YourTTS: Towards Zero-Shot Multi-Speaker TTS and Zero-Shot Voice Conversion for everyone
• [cs.SE]Bridging Pre-trained Models and Downstream Tasks for Source Code Understanding
• [cs.SE]Fast Test Input Generation for Finding Deviated Behaviors in Compressed Deep Neural Network
• [cs.SE]MDPFuzzer: Finding Crash-Triggering State Sequences in Models Solving the Markov Decision Process
• [cs.SE]VarCLR: Variable Semantic Representation Pre-training via Contrastive Learning
• [cs.SI]Characterizing Retweet Bots: The Case of Black Market Accounts
• [cs.SI]Creativity in social networks is enhanced by ‘Goldilocks’ dispersal of ideators’ visibility
• [cs.SI]Influential Node Ranking in Complex Networks Using A Randomized DynamicsSensitive Approach
• [cs.SI]Local topological features of robust supply networks
• [cs.SI]Mitigating Biological Epidemic on Heterogeneous Social Networks
• [cs.SI]iNaturalist citizen science community during City Nature Challenge: new computational approach for analysis of user activity
• [eess.IV]A comparison study of CNN denoisers on PRNU extraction
• [eess.IV]Classification of COVID-19 on chest X-Ray images using Deep Learning model with Histogram Equalization and Lungs Segmentation
• [eess.IV]Fast 3D registration with accurate optimisation and little learning for Learn2Reg 2021
• [eess.IV]Joint Learning of Localized Representations from Medical Images and Reports
• [eess.IV]Real-time Virtual Intraoperative CT for Image Guided Surgery
• [eess.IV]Separated Contrastive Learning for Organ-at-Risk and Gross-Tumor-Volume Segmentation with Limited Annotation
• [eess.IV]Snapshot HDR Video Construction Using Coded Mask
• [eess.IV]Tunable Image Quality Control of 3-D Ultrasound using Switchable CycleGAN
• [eess.IV]Uncertainty-Guided Mutual Consistency Learning for Semi-Supervised Medical Image Segmentation
• [eess.SP]Geometric Constellation Shaping for Phase-noise Channels Using a Differentiable Blind Phase Search
• [eess.SP]Iterated Posterior Linearization PMB Filter for 5G SLAM
• [eess.SY]Learning Swarm Interaction Dynamics from Density Evolution
• [hep-ph]Autoencoders for Semivisible Jet Detection
• [math.MG]Discovering new Properties and Invariants of Harmonic Polygons
• [math.MG]Hexagonal Flanks, Confocal Parabolas, and a Focal Equilateral
• [math.NA]An iterative solver for the HPS discretization applied to three dimensional Helmholtz problems
• [math.NA]On the stability and performance of the solution of sparse linear systems by partitioned procedures
• [math.OC]A Divide-and-Conquer Algorithm for Distributed Optimization on Networks
• [math.OC]DNN-based Policies for Stochastic AC OPF
• [math.OC]Learning to Search in Local Branching
• [math.ST]Characterization Theorems for Pseudo-Variograms
• [math.ST]Estimation and reduced bias estimation of the residual dependence index with unnamed marginals
• [math.ST]Hypothesis Test of a Truncated Sample Mean for the Extremely Heavy-Tailed Distributions
• [math.ST]Minimax properties of Dirichlet kernel density estimators
• [math.ST]Nonparametric mixture MLEs under Gaussian-smoothed optimal transport distance
• [math.ST]Strong mixing properties of discrete-valued time series with exogenous covariates
• [math.ST]Transform orders and stochastic monotonicity of statistical functionals
• [nucl-th]Artificial Intelligence and Machine Learning in Nuclear Physics
• [physics.flu-dyn]Generative Modeling of Turbulence
• [q-bio.BM]Collective variable discovery in the age of machine learning: reality, hype and everything in between
• [quant-ph]Quantum Machine Learning for Radio Astronomy
• [stat.AP]A Robust, Differentially Private Randomized Experiment for Evaluating Online Educational Programs With Sensitive Student Data
• [stat.AP]High return level estimates of daily ERA-5 precipitation in Europe estimated using regionalised extreme value distributions
• [stat.AP]Utilizing Expert Opinion to inform Extrapolation of Survival Models
• [stat.CO]Bounding Wasserstein distance with couplings
• [stat.CO]Generalized Transitional Markov Chain Monte Carlo Sampling Technique for Bayesian Inversion
• [stat.ME]A stableness of resistance model for nonresponse adjustment with callback data
• [stat.ME]Another look at synthetic-type control charts
• [stat.ME]Bayesian Estimation Approach for Linear Regression Models with Linear Inequality Restrictions
• [stat.ME]Bayesian Optimal Two-sample Tests in High-dimension
• [stat.ME]Cross-validation for change-point regression: pitfalls and solutions
• [stat.ME]Deep Quantile and Deep Composite Model Regression
• [stat.ME]Interpretable discriminant analysis for functional data supported on random non-linear domains
• [stat.ME]Joint modeling of longitudinal functional feature and time to event: an application to fecundity studies
• [stat.ME]Laplace Power-expected-posterior priors for generalized linear models with applications to logistic regression
• [stat.ME]Mean and median bias reduction: A concise review and application to adjacent-categories logit models
• [stat.ME]Pearson’s Goodness-of-Fit Tests for Sparse Distributions
• [stat.ME]Robust Sequential Online Prediction with Dynamic Ensemble of Multiple Models: A Concise Introduction
• [stat.ME]Stable sums to infer high return levels of multivariate rainfall time series
• [stat.ME]Statistical implications of relaxing the homogeneous mixing assumption in time series Susceptible-Infectious-Removed models
• [stat.ML]Data Fusion with Latent Map Gaussian Processes
• [stat.ML]Deconfounding Temporal Autoencoder: Estimating Treatment Effects over Time Using Noisy Proxies
• [stat.ML]Generalized Likelihood Ratio Test for Adversarially Robust Hypothesis Testing
• [stat.ML]Incentive Compatible Pareto Alignment for Multi-Source Large Graphs
• [stat.ML]L2-norm Ensemble Regression with Ocean Feature Weights by Analyzed Images for Flood Inflow Forecast
• [stat.ML]Local Adaptivity of Gradient Boosting in Histogram Transform Ensemble Learning
• [stat.ML]Online false discovery rate control for anomaly detection in time series
• [stat.ML]Two-step Lookahead Bayesian Optimization with Inequality Constraints
·····································
• [cs.AI]A Novel Approach to Solving Goal-Achieving Problems for Board Games
Chung-Chin Shih, Ti-Rong Wu, Ting Han Wei, I-Chen Wu
http://arxiv.org/abs/2112.02563v1
• [cs.AI]An Effective GCN-based Hierarchical Multi-label classification for Protein Function Prediction
Kyudam Choi, Yurim Lee, Cheongwon Kim, Minsung Yoon
http://arxiv.org/abs/2112.02810v1
• [cs.AI]Artificial Cognitively-inspired Generation of the Notion of Topological Group in the Context of Artificial Mathematical Intelligence
Danny A. J. Gomez-Ramirez, Yoe A. Herrera-Jaramillo, Florian Geismann
http://arxiv.org/abs/2112.02457v1
• [cs.AI]BERTMap: A BERT-based Ontology Alignment System
Yuan He, Jiaoyan Chen, Denvar Antonyrajah, Ian Horrocks
http://arxiv.org/abs/2112.02682v1
• [cs.AI]Consistent Training and Decoding For End-to-end Speech Recognition Using Lattice-free MMI
Jinchuan Tian, Jianwei Yu, Chao Weng, Shi-Xiong Zhang, Dan Su, Dong Yu, Yuexian Zou
http://arxiv.org/abs/2112.02498v1
• [cs.AI]Intention Recognition for Multiple Agents
Zhang Zhang, Yifeng Zeng, Yingke Chen
http://arxiv.org/abs/2112.02513v1
• [cs.AI]Invitation in Crowdsourcing Contests
Qi Shi, Dong Hao
http://arxiv.org/abs/2112.02884v1
• [cs.AI]Lecture Notes on Partially Known MDPs
Guillermo A. Perez
http://arxiv.org/abs/2112.02976v1
• [cs.AI]LoNLI: An Extensible Framework for Testing Diverse Logical Reasoning Capabilities for NLI
Ishan Tarunesh, Somak Aditya, Monojit Choudhury
http://arxiv.org/abs/2112.02333v1
• [cs.AI]On the complexity of Dark Chinese Chess
Cong Wang, Tongwei Lu
http://arxiv.org/abs/2112.02989v1
• [cs.AI]Open Vocabulary Electroencephalography-To-Text Decoding and Zero-shot Sentiment Classification
Zhenhailong Wang, Heng Ji
http://arxiv.org/abs/2112.02690v1
• [cs.AI]Player of Games
Martin Schmid, Matej Moravcik, Neil Burch, Rudolf Kadlec, Josh Davidson, Kevin Waugh, Nolan Bard, Finbarr Timbers, Marc Lanctot, Zach Holland, Elnaz Davoodi, Alden Christianson, Michael Bowling
http://arxiv.org/abs/2112.03178v1
• [cs.AI]Requirements for Open Political Information: Transparency Beyond Open Data
Andong Luis Li Zhao, Andrew Paley, Rachel Adler, Harper Pack, Sergio Servantez, Alexander Einarsson, Cameron Barrie, Marko Sterbentz, Kristian Hammond
http://arxiv.org/abs/2112.03119v1
• [cs.AI]Simulation Intelligence: Towards a New Generation of Scientific Methods
Alexander Lavin, Hector Zenil, Brooks Paige, David Krakauer, Justin Gottschlich, Tim Mattson, Anima Anandkumar, Sanjay Choudry, Kamil Rocki, Atılım Güneş Baydin, Carina Prunkl, Brooks Paige, Olexandr Isayev, Erik Peterson, Peter L. McMahon, Jakob Macke, Kyle Cranmer, Jiaxin Zhang, Haruko Wainwright, Adi Hanuka, Manuela Veloso, Samuel Assefa, Stephan Zheng, Avi Pfeffer
http://arxiv.org/abs/2112.03235v1
• [cs.AI]Tele-EvalNet: A Low-cost, Teleconsultation System for Home based Rehabilitation of Stroke Survivors using Multiscale CNN-LSTM Architecture
Aditya Kanade, Mansi Sharma, M. Manivannan
http://arxiv.org/abs/2112.03168v1
• [cs.CC]On Complexity of 1-Center in Various Metrics
Amir Abboud, MohammadHossein Bateni, Vincent Cohen-Addad, Karthik C. S., Saeed Seddighin
http://arxiv.org/abs/2112.03222v1
• [cs.CC]The Complexity of Data-Driven Norm Synthesis and Revision
Davide Dell’Anna, Natasha Alechina, Brian Logan, Maarten Löffler, Fabiano Dalpiaz, Mehdi Dastani
http://arxiv.org/abs/2112.02626v1
• [cs.CL]“Stop Asian Hate!” : Refining Detection of Anti-Asian Hate Speech During the COVID-19 Pandemic
Huy Nghiem, Fred Morstatter
http://arxiv.org/abs/2112.02265v1
• [cs.CL]A Russian Jeopardy! Data Set for Question-Answering Systems
Elena Mikhalkova
http://arxiv.org/abs/2112.02325v1
• [cs.CL]Achieving Forgetting Prevention and Knowledge Transfer in Continual Learning
Zixuan Ke, Bing Liu, Nianzu Ma, Hu Xu, Lei Shu
http://arxiv.org/abs/2112.02706v1
• [cs.CL]An unsupervised extractive summarization method based on multi-round computation
Dehao Tao, Yingzhu Xiong, Jin He, Skevin, Yongfeng Huang
http://arxiv.org/abs/2112.03203v1
• [cs.CL]CLASSIC: Continual and Contrastive Learning of Aspect Sentiment Classification Tasks
Zixuan Ke, Bing Liu, Hu Xu, Lei Shu
http://arxiv.org/abs/2112.02714v1
• [cs.CL]Causal Distillation for Language Models
Zhengxuan Wu, Atticus Geiger, Josh Rozner, Elisa Kreiss, Hanson Lu, Thomas Icard, Christopher Potts, Noah D. Goodman
http://arxiv.org/abs/2112.02505v1
• [cs.CL]Contextual Multi-View Query Learning for Short Text Classification in User-Generated Data
Payam Karisani, Negin Karisani, Li Xiong
http://arxiv.org/abs/2112.02611v1
• [cs.CL]Controllable Response Generation for Assistive Use-cases
Shachi H Kumar, Hsuan Su, Ramesh Manuvinakurike, Saurav Sahay, Lama Nachman
http://arxiv.org/abs/2112.02246v1
• [cs.CL]Differentiating Approach and Avoidance from Traditional Notions of Sentiment in Economic Contexts
Jacob Turton, Ali Kabiri, David Tuckett, Robert Elliott Smith, David P. Vinson
http://arxiv.org/abs/2112.02607v1
• [cs.CL]Emojich — zero-shot emoji generation using Russian language: a technical report
Alex Shonenkov, Daria Bakshandaeva, Denis Dimitrov, Aleksandr Nikolich
http://arxiv.org/abs/2112.02448v1
• [cs.CL]Exploratory Data Analysis of Urdu Poetry
Shahid Rabbani, Zahid Ahmed Qureshi
http://arxiv.org/abs/2112.02145v1
• [cs.CL]Fast and Accurate Span-based Semantic Role Labeling as Graph Parsing
Shilin Zhou, Qingrong Xia, Zhenghua Li, Yu Zhang, Min Zhang
http://arxiv.org/abs/2112.02970v1
• [cs.CL]Hierarchical Neural Data Synthesis for Semantic Parsing
Wei Yang, Peng Xu, Yanshuai Cao
http://arxiv.org/abs/2112.02212v1
• [cs.CL]Human Parity on CommonsenseQA: Augmenting Self-Attention with External Attention
Yichong Xu, Chenguang Zhu, Shuohang Wang, Siqi Sun, Hao Cheng, Xiaodong Liu, Jianfeng Gao, Pengcheng He, Michael Zeng, Xuedong Huang
http://arxiv.org/abs/2112.03254v1
• [cs.CL]Impact of Target Word and Context on End-to-End Metonymy Detection
Kevin Alex Mathews, Michael Strube
http://arxiv.org/abs/2112.03256v1
• [cs.CL]Interpretable Privacy Preservation of Text Representations Using Vector Steganography
Geetanjali Bihani
http://arxiv.org/abs/2112.02557v1
• [cs.CL]JointLK: Joint Reasoning with Language Models and Knowledge Graphs for Commonsense Question Answering
Yueqing Sun, Qi Shi, Le Qi, Yu Zhang
http://arxiv.org/abs/2112.02732v1
• [cs.CL]NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation
Kaustubh D. Dhole, Varun Gangal, Sebastian Gehrmann, Aadesh Gupta, Zhenhao Li, Saad Mahamood, Abinaya Mahendiran, Simon Mille, Ashish Srivastava, Samson Tan, Tongshuang Wu, Jascha Sohl-Dickstein, Jinho D. Choi, Eduard Hovy, Ondrej Dusek, Sebastian Ruder, Sajant Anand, Nagender Aneja, Rabin Banjade, Lisa Barthe, Hanna Behnke, Ian Berlot-Attwell, Connor Boyle, Caroline Brun, Marco Antonio Sobrevilla Cabezudo, Samuel Cahyawijaya, Emile Chapuis, Wanxiang Che, Mukund Choudhary, Christian Clauss, Pierre Colombo, Filip Cornell, Gautier Dagan, Mayukh Das, Tanay Dixit, Thomas Dopierre, Paul-Alexis Dray, Suchitra Dubey, Tatiana Ekeinhor, Marco Di Giovanni, Rishabh Gupta, Rishabh Gupta, Louanes Hamla, Sang Han, Fabrice Harel-Canada, Antoine Honore, Ishan Jindal, Przemyslaw K. Joniak, Denis Kleyko, Venelin Kovatchev, Kalpesh Krishna, Ashutosh Kumar, Stefan Langer, Seungjae Ryan Lee, Corey James Levinson, Hualou Liang, Kaizhao Liang, Zhexiong Liu, Andrey Lukyanenko, Vukosi Marivate, Gerard de Melo, Simon Meoni, Maxime Meyer, Afnan Mir, Nafise Sadat Moosavi, Niklas Muennighoff, Timothy Sum Hon Mun, Kenton Murray, Marcin Namysl, Maria Obedkova, Priti Oli, Nivranshu Pasricha, Jan Pfister, Richard Plant, Vinay Prabhu, Vasile Pais, Libo Qin, Shahab Raji, Pawan Kumar Rajpoot, Vikas Raunak, Roy Rinberg, Nicolas Roberts, Juan Diego Rodriguez, Claude Roux, Vasconcellos P. H. S., Ananya B. Sai, Robin M. Schmidt, Thomas Scialom, Tshephisho Sefara, Saqib N. Shamsi, Xudong Shen, Haoyue Shi, Yiwen Shi, Anna Shvets, Nick Siegel, Damien Sileo, Jamie Simon, Chandan Singh, Roman Sitelew, Priyank Soni, Taylor Sorensen, William Soto, Aman Srivastava, KV Aditya Srivatsa, Tony Sun, Mukund Varma T, A Tabassum, Fiona Anting Tan, Ryan Teehan, Mo Tiwari, Marie Tolkiehn, Athena Wang, Zijian Wang, Gloria Wang, Zijie J. Wang, Fuxuan Wei, Bryan Wilie, Genta Indra Winata, Xinyi Wu, Witold Wydmański, Tianbao Xie, Usama Yaseen, M. Yee, Jing Zhang, Yue Zhang
http://arxiv.org/abs/2112.02721v1
• [cs.CL]Quantifying Adaptability in Pre-trained Language Models with 500 Tasks
Belinda Z. Li, Jane Yu, Madian Khabsa, Luke Zettlemoyer, Alon Halevy, Jacob Andreas
http://arxiv.org/abs/2112.03204v1
• [cs.CL]Search and Learn: Improving Semantic Coverage for Data-to-Text Generation
Shailza Jolly, Zi Xuan Zhang, Andreas Dengel, Lili Mou
http://arxiv.org/abs/2112.02770v1
• [cs.CL]Team Hitachi @ AutoMin 2021: Reference-free Automatic Minuting Pipeline with Argument Structure Construction over Topic-based Summarization
Atsuki Yamaguchi, Gaku Morio, Hiroaki Ozaki, Ken-ichi Yokote, Kenji Nagamatsu
http://arxiv.org/abs/2112.02741v1
• [cs.CL]The Linear Arrangement Library. A new tool for research on syntactic dependency structures
Lluís Alemany-Puig, Juan Luis Esteban, Ramon Ferrer-i-Cancho
http://arxiv.org/abs/2112.02512v1
• [cs.CL]Unsupervised Law Article Mining based on Deep Pre-Trained Language Representation Models with Application to the Italian Civil Code
Andrea Tagarelli, Andrea Simeri
http://arxiv.org/abs/2112.03033v1
• [cs.CL]VAE based Text Style Transfer with Pivot Words Enhancement Learning
Haoran Xu, Sixing Lu, Zhongkai Sun, Chengyuan Ma, Chenlei Guo
http://arxiv.org/abs/2112.03154v1
• [cs.CL]Zero-shot hashtag segmentation for multilingual sentiment analysis
Ruan Chaves Rodrigues, Marcelo Akira Inuzuka, Juliana Resplande Sant’Anna Gomes, Acquila Santos Rocha, Iacer Calixto, Hugo Alexandre Dantas do Nascimento
http://arxiv.org/abs/2112.03213v1
• [cs.CR]A Game-Theoretic Approach for AI-based Botnet Attack Defence
Hooman Alavizadeh, Julian Jang-Jaccard, Tansu Alpcan, Seyit A. Camtepe
http://arxiv.org/abs/2112.02223v1
• [cs.CR]Can OpenAI Codex and Other Large Language Models Help Us Fix Security Bugs?
Hammond Pearce, Benjamin Tan, Baleegh Ahmad, Ramesh Karri, Brendan Dolan-Gavitt
http://arxiv.org/abs/2112.02125v1
• [cs.CR]Fast and Secure Key Generation with Channel Obfuscation in Slowly Varying Environments
Guyue Li, Haiyu Yang, Junqing Zhang, Hongbo Liu, Aiqun Hu
http://arxiv.org/abs/2112.02273v1
• [cs.CR]My(o) Armband Leaks Passwords: An EMG and IMU Based Keylogging Side-Channel Attack
Matthias Gazzari, Annemarie Mattmann, Max Maass, Matthias Hollick
http://arxiv.org/abs/2112.02382v1
• [cs.CR]PAN-DOMAIN: Privacy-preserving Sharing and Auditing of Infection Identifier Matching
William Abramson, William J. Buchanan, Sarwar Sayeed, Nikolaos Pitropakis, Owen Lo
http://arxiv.org/abs/2112.02855v1
• [cs.CR]PhishMatch: A Layered Approach for Effective Detection of Phishing URLs
Harshal Tupsamudre, Sparsh Jain, Sachin Lodha
http://arxiv.org/abs/2112.02226v1
• [cs.CR]Protecting Intellectual Property of Language Generation APIs with Lexical Watermark
Xuanli He, Qiongkai Xu, Lingjuan Lyu, Fangzhao Wu, Chenguang Wang
http://arxiv.org/abs/2112.02701v1
• [cs.CR]SHAPr: An Efficient and Versatile Membership Privacy Risk Metric for Machine Learning
Vasisht Duddu, Sebastian Szyller, N. Asokan
http://arxiv.org/abs/2112.02230v1
• [cs.CR]Towards automated verification of multi-party consensus protocols
Ivan Fedotov, Anton Khritankov, Artem Barger
http://arxiv.org/abs/2112.02397v1
• [cs.CR]Using Static and Dynamic Malware features to perform Malware Ascription
Jashanpreet Singh Sraw, Keshav Kumar
http://arxiv.org/abs/2112.02639v1
• [cs.CV]3D Hierarchical Refinement and Augmentation for Unsupervised Learning of Depth and Pose from Monocular Video
Guangming Wang, Jiquan Zhong, Shijie Zhao, Wenhua Wu, Zhe Liu, Hesheng Wang
http://arxiv.org/abs/2112.03045v1
• [cs.CV]3rd Place: A Global and Local Dual Retrieval Solution to Facebook AI Image Similarity Challenge
Xinlong Sun, Yangyang Qin, Xuyuan Xu, Guoping Gong, Yang Fang, Yexin Wang
http://arxiv.org/abs/2112.02373v1
• [cs.CV]4DContrast: Contrastive Learning with Dynamic Correspondences for 3D Scene Understanding
Yujin Chen, Matthias Nießner, Angela Dai
http://arxiv.org/abs/2112.02990v1
• [cs.CV]A Dataset-free Self-supervised Disentangled Learning Method for Adaptive Infrared and Visible Images Super-resolution Fusion
Yuanjie Gu, Zhibo Xiao, Hailun Wang, Cheng Liu, Shouyu Wang
http://arxiv.org/abs/2112.02869v1
• [cs.CV]A Generalized Zero-Shot Quantization of Deep Convolutional Neural Networks via Learned Weights Statistics
Prasen Kumar Sharma, Arun Abraham, Vikram Nelvoy Rajendiran
http://arxiv.org/abs/2112.02834v1
• [cs.CV]A Survey of Deep Learning for Low-Shot Object Detection
Qihan Huang, Haofei Zhang, Jie Song, Mingli Song
http://arxiv.org/abs/2112.02814v1
• [cs.CV]A Survey on Deep learning based Document Image Enhancement
Zahra Anvari, Vassilis Athitsos
http://arxiv.org/abs/2112.02719v1
• [cs.CV]A Tale of Color Variants: Representation and Self-Supervised Learning in Fashion E-Commerce
Ujjal Kr Dutta, Sandeep Repakula, Maulik Parmar, Abhinav Ravi
http://arxiv.org/abs/2112.02910v1
• [cs.CV]A hybrid convolutional neural network/active contour approach to segmenting dead trees in aerial imagery
Jacquelyn A. Shelton, Przemyslaw Polewski, Wei Yao, Marco Heurich
http://arxiv.org/abs/2112.02725v1
• [cs.CV]ALIKE: Accurate and Lightweight Keypoint Detection and Descriptor Extraction
Xiaoming Zhao, Xingming Wu, Jinyu Miao, Weihai Chen, Peter C. Y. Chen, Zhengguo Li
http://arxiv.org/abs/2112.02906v1
• [cs.CV]Ablation study of self-supervised learning for image classification
Ilias Papastratis
http://arxiv.org/abs/2112.02297v1
• [cs.CV]ActiveZero: Mixed Domain Learning for Active Stereovision with Zero Annotation
Isabella Liu, Edward Yang, Jianyu Tao, Rui Chen, Xiaoshuai Zhang, Qing Ran, Zhu Liu, Hao Su
http://arxiv.org/abs/2112.02772v1
• [cs.CV]Adaptive Channel Encoding Transformer for Point Cloud Analysis
Guoquan Xu, Hezhi Cao, Jianwei Wan, Ke Xu, Yanxin Ma, Cong Zhang
http://arxiv.org/abs/2112.02507v1
• [cs.CV]Adaptive Channel Encoding for Point Cloud Analysis
Guoquan Xu, Hezhi Cao, Yifan Zhang, Jianwei Wan, Ke Xu, Yanxin Ma
http://arxiv.org/abs/2112.02509v1
• [cs.CV]Adjusting the Ground Truth Annotations for Connectivity-Based Learning to Delineate
Doruk Oner, Leonardo Citraro, Mateusz Koziński, Pascal Fua
http://arxiv.org/abs/2112.02781v1
• [cs.CV]An Annotated Video Dataset for Computing Video Memorability
Rukiye Savran Kiziltepe, Lorin Sweeney, Mihai Gabriel Constantin, Faiyaz Doctor, Alba Garcia Seco de Herrera, Claire-Helene Demarty, Graham Healy, Bogdan Ionescu, Alan F. Smeaton
http://arxiv.org/abs/2112.02303v1
• [cs.CV]Anomaly Detection in IR Images of PV Modules using Supervised Contrastive Learning
Lukas Bommes, Mathis Hoffmann, Claudia Buerhop-Lutz, Tobias Pickel, Jens Hauch, Christoph Brabec, Andreas Maier, Ian Marius Peters
http://arxiv.org/abs/2112.02922v1
• [cs.CV]BAANet: Learning Bi-directional Adaptive Attention Gates for Multispectral Pedestrian Detection
Xiaoxiao Yang, Yeqian Qiang, Huijie Zhu, Chunxiang Wang, Ming Yang
http://arxiv.org/abs/2112.02277v1
• [cs.CV]Behind the Curtain: Learning Occluded Shapes for 3D Object Detection
Qiangeng Xu, Yiqi Zhong, Ulrich Neumann
http://arxiv.org/abs/2112.02205v1
• [cs.CV]Boosting Mobile CNN Inference through Semantic Memory
Yun Li, Chen Zhang, Shihao Han, Li Lyna Zhang, Baoqun Yin, Yunxin Liu, Mengwei Xu
http://arxiv.org/abs/2112.02644v1
• [cs.CV]CSG0: Continual Urban Scene Generation with Zero Forgetting
Himalaya Jain, Tuan-Hung Vu, Patrick Pérez, Matthieu Cord
http://arxiv.org/abs/2112.03252v1
• [cs.CV]Channel Exchanging Networks for Multimodal and Multitask Dense Image Prediction
Yikai Wang, Wenbing Huang, Fuchun Sun, Fengxiang He, Dacheng Tao
http://arxiv.org/abs/2112.02252v1
• [cs.CV]Clue Me In: Semi-Supervised FGVC with Out-of-Distribution Data
Ruoyi Du, Dongliang Chang, Zhanyu Ma, Yi-Zhe Song, Jun Guo
http://arxiv.org/abs/2112.02825v1
• [cs.CV]Construct Informative Triplet with Two-stage Hard-sample Generation
Chuang Zhu, Zheng Hu, Huihui Dong, Gang He, Zekuan Yu, Shangshang Zhang
http://arxiv.org/abs/2112.02259v1
• [cs.CV]Context-Aware Transfer Attacks for Object Detection
Zikui Cai, Xinxin Xie, Shasha Li, Mingjun Yin, Chengyu Song, Srikanth V. Krishnamurthy, Amit K. Roy-Chowdhury, M. Salman Asif
http://arxiv.org/abs/2112.03223v1
• [cs.CV]Controllable Animation of Fluid Elements in Still Images
Aniruddha Mahapatra, Kuldeep Kulkarni
http://arxiv.org/abs/2112.03051v1
• [cs.CV]Cross-Modality Attentive Feature Fusion for Object Detection in Multispectral Remote Sensing Imagery
Qingyun Fang, Zhaokui Wang
http://arxiv.org/abs/2112.02991v1
• [cs.CV]Deblurring via Stochastic Refinement
Jay Whang, Mauricio Delbracio, Hossein Talebi, Chitwan Saharia, Alexandros G. Dimakis, Peyman Milanfar
http://arxiv.org/abs/2112.02475v1
• [cs.CV]Dense Extreme Inception Network for Edge Detection
Xavier Soria Poma, Angel Sappa, Patricio Humanante, Arash Arbarinia
http://arxiv.org/abs/2112.02250v1
• [cs.CV]Diffusion Models for Implicit Image Segmentation Ensembles
Julia Wolleb, Robin Sandkühler, Florentin Bieder, Philippe Valmaggia, Philippe C. Cattin
http://arxiv.org/abs/2112.03145v1
• [cs.CV]DoodleFormer: Creative Sketch Drawing with Transformers
Ankan Kumar Bhunia, Salman Khan, Hisham Cholakkal, Rao Muhammad Anwer, Fahad Shahbaz Khan, Jorma Laaksonen, Michael Felsberg
http://arxiv.org/abs/2112.03258v1
• [cs.CV]Dual-Flow Transformation Network for Deformable Image Registration with Region Consistency Constraint
Xinke Ma, Yibo Yang, Yong Xia, Dacheng Tao
http://arxiv.org/abs/2112.02249v1
• [cs.CV]Dynamic Token Normalization Improves Vision Transformer
Wenqi Shao, Yixiao Ge, Zhaoyang Zhang, Xuyuan Xu, Xiaogang Wang, Ying Shan, Ping Luo
http://arxiv.org/abs/2112.02624v1
• [cs.CV]Embedding Arithmetic for Text-driven Image Transformation
Guillaume Couairon, Matthieu Cord, Matthijs Douze, Holger Schwenk
http://arxiv.org/abs/2112.03162v1
• [cs.CV]Encouraging Disentangled and Convex Representation with Controllable Interpolation Regularization
Yunhao Ge, Zhi Xu, Yao Xiao, Gan Xin, Yunkui Pang, Laurent Itti
http://arxiv.org/abs/2112.03163v1
• [cs.CV]End-to-End Segmentation via Patch-wise Polygons Prediction
Tal Shaharabany, Lior Wolf
http://arxiv.org/abs/2112.02535v1
• [cs.CV]Ethics and Creativity in Computer Vision
Negar Rostamzadeh, Emily Denton, Linda Petrini
http://arxiv.org/abs/2112.03111v1
• [cs.CV]Face Reconstruction with Variational Autoencoder and Face Masks
Rafael S. Toledo, Eric A. Antonelo
http://arxiv.org/abs/2112.02139v1
• [cs.CV]Face Trees for Expression Recognition
Mojtaba Kolahdouzi, Alireza Sepas-Moghaddam, Ali Etemad
http://arxiv.org/abs/2112.02487v1
• [cs.CV]Facial Emotion Characterization and Detection using Fourier Transform and Machine Learning
Aishwarya Gouru, Shan Suthaharan
http://arxiv.org/abs/2112.02729v1
• [cs.CV]Feature-based Recognition Framework for Super-resolution Images
Jing Hu, Meiqi Zhang, Rui Zhang
http://arxiv.org/abs/2112.02270v1
• [cs.CV]Forward Compatible Training for Representation Learning
Vivek Ramanujan, Pavan Kumar Anasosalu Vasu, Ali Farhadi, Oncel Tuzel, Hadi Pouransari
http://arxiv.org/abs/2112.02805v1
• [cs.CV]Fusion Detection via Distance-Decay IoU and weighted Dempster-Shafer Evidence Theory
Fang Qingyun, Wang Zhaokui
http://arxiv.org/abs/2112.03044v1
• [cs.CV]GETAM: Gradient-weighted Element-wise Transformer Attention Map for Weakly-supervised Semantic segmentation
Weixuan Sun, Jing Zhang, Zheyuan Liu, Yiran Zhong, Nick Barnes
http://arxiv.org/abs/2112.02841v1
• [cs.CV]Gated2Gated: Self-Supervised Depth Estimation from Gated Images
Amanpreet Walia, Stefanie Walz, Mario Bijelic, Fahim Mannan, Frank Julca-Aguilar, Michael Langer, Werner Ritter, Felix Heide
http://arxiv.org/abs/2112.02416v1
• [cs.CV]General Facial Representation Learning in a Visual-Linguistic Manner
Yinglin Zheng, Hao Yang, Ting Zhang, Jianmin Bao, Dongdong Chen, Yangyu Huang, Lu Yuan, Dong Chen, Ming Zeng, Fang Wen
http://arxiv.org/abs/2112.03109v1
• [cs.CV]Generalized Binary Search Network for Highly-Efficient Multi-View Stereo
Zhenxing Mi, Di Chang, Dan Xu
http://arxiv.org/abs/2112.02338v1
• [cs.CV]Global-Local Context Network for Person Search
Peng Zheng, Jie Qin, Yichao Yan, Shengcai Liao, Bingbing Ni, Xiaogang Cheng, Ling Shao
http://arxiv.org/abs/2112.02500v1
• [cs.CV]HIVE: Evaluating the Human Interpretability of Visual Explanations
Sunnie S. Y. Kim, Nicole Meister, Vikram V. Ramaswamy, Ruth Fong, Olga Russakovsky
http://arxiv.org/abs/2112.03184v1
• [cs.CV]HumanNeRF: Generalizable Neural Human Radiance Field from Sparse Inputs
Fuqiang Zhao, Wei Yang, Jiakai Zhang, Pei Lin, Yingliang Zhang, Jingyi Yu, Lan Xu
http://arxiv.org/abs/2112.02789v1
• [cs.CV]Implicit Data Augmentation Using Feature Interpolation for Diversified Low-Shot Image Generation
Mengyu Dai, Haibin Hang, Xiaoyang Guo
http://arxiv.org/abs/2112.02450v1
• [cs.CV]Implicit Neural Deformation for Multi-View Face Reconstruction
Moran Li, Haibin Huang, Yi Zheng, Mengtian Li, Nong Sang, Chongyang Ma
http://arxiv.org/abs/2112.02494v1
• [cs.CV]Input-level Inductive Biases for 3D Reconstruction
Wang Yifan, Carl Doersch, Relja Arandjelović, João Carreira, Andrew Zisserman
http://arxiv.org/abs/2112.03243v1
• [cs.CV]Interactive Disentanglement: Learning Concepts by Interacting with their Prototype Representations
Wolfgang Stammer, Marius Memmel, Patrick Schramowski, Kristian Kersting
http://arxiv.org/abs/2112.02290v1
• [cs.CV]Interpretable Image Classification with Differentiable Prototypes Assignment
Dawid Rymarczyk, Łukasz Struski, Michał Górszczak, Koryna Lewandowska, Jacek Tabor, Bartosz Zieliński
http://arxiv.org/abs/2112.02902v1
• [cs.CV]Joint Symmetry Detection and Shape Matching for Non-Rigid Point Cloud
Abhishek Sharma, Maks Ovsjanikov
http://arxiv.org/abs/2112.02713v1
• [cs.CV]LAVT: Language-Aware Vision Transformer for Referring Image Segmentation
Zhao Yang, Jiaqi Wang, Yansong Tang, Kai Chen, Hengshuang Zhao, Philip H. S. Torr
http://arxiv.org/abs/2112.02244v1
• [cs.CV]LTT-GAN: Looking Through Turbulence by Inverting GANs
Kangfu Mei, Vishal M. Patel
http://arxiv.org/abs/2112.02379v1
• [cs.CV]Label Hierarchy Transition: Modeling Class Hierarchies to Enhance Deep Classifiers
Renzhen Wang, De cai, Kaiwen Xiao, Xixi Jia, Xiao Han, Deyu Meng
http://arxiv.org/abs/2112.02353v1
• [cs.CV]Label-Efficient Semantic Segmentation with Diffusion Models
Dmitry Baranchuk, Ivan Rubachev, Andrey Voynov, Valentin Khrulkov, Artem Babenko
http://arxiv.org/abs/2112.03126v1
• [cs.CV]Learning Query Expansion over the Nearest Neighbor Graph
Benjamin Klein, Lior Wolf
http://arxiv.org/abs/2112.02666v1
• [cs.CV]Learning Tracking Representations via Dual-Branch Fully Transformer Networks
Fei Xie, Chunyu Wang, Guangting Wang, Wankou Yang, Wenjun Zeng
http://arxiv.org/abs/2112.02571v1
• [cs.CV]Learning to Reason from General Concepts to Fine-grained Tokens for Discriminative Phrase Detection
Maan Qraitem, Bryan A. Plummer
http://arxiv.org/abs/2112.03237v1
• [cs.CV]Letter-level Online Writer Identification
Zelin Chen, Hong-Xing Yu, Ancong Wu, Wei-Shi Zheng
http://arxiv.org/abs/2112.02824v1
• [cs.CV]Make It Move: Controllable Image-to-Video Generation with Text Descriptions
Yaosi Hu, Chong Luo, Zhenzhong Chen
http://arxiv.org/abs/2112.02815v1
• [cs.CV]Making a Bird AI Expert Work for You and Me
Dongliang Chang, Kaiyue Pang, Ruoyi Du, Zhanyu Ma, Yi-Zhe Song, Jun Guo
http://arxiv.org/abs/2112.02747v1
• [cs.CV]MetaCloth: Learning Unseen Tasks of Dense Fashion Landmark Detection from a Few Samples
Yuying Ge, Ruimao Zhang, Ping Luo
http://arxiv.org/abs/2112.02763v1
• [cs.CV]MoFaNeRF: Morphable Facial Neural Radiance Field
Yiyu Zhuang, Hao Zhu, Xusen Sun, Xun Cao
http://arxiv.org/abs/2112.02308v1
• [cs.CV]MobRecon: Mobile-Friendly Hand Mesh Reconstruction from Monocular Image
Xingyu Chen, Yufeng Liu, Yajiao Dong, Xiong Zhang, Chongyang Ma, Yanmin Xiong, Yuan Zhang, Xiaoyan Guo
http://arxiv.org/abs/2112.02753v1
• [cs.CV]Neural Photometry-guided Visual Attribute Transfer
Carlos Rodriguez-Pardo, Elena Garces
http://arxiv.org/abs/2112.02520v1
• [cs.CV]Next Day Wildfire Spread: A Machine Learning Data Set to Predict Wildfire Spreading from Remote-Sensing Data
Fantine Huot, R. Lily Hu, Nita Goyal, Tharun Sankar, Matthias Ihme, Yi-Fan Chen
http://arxiv.org/abs/2112.02447v1
• [cs.CV]No-Reference Point Cloud Quality Assessment via Domain Adaptation
Qi Yang, Yipeng Liu, Siheng Chen, Yiling Xu, Jun Sun
http://arxiv.org/abs/2112.02851v1
• [cs.CV]One-shot Talking Face Generation from Single-speaker Audio-Visual Correlation Learning
Suzhen Wang, Lincheng Li, Yu Ding, Xin Yu
http://arxiv.org/abs/2112.02749v1
• [cs.CV]PP-MSVSR: Multi-Stage Video Super-Resolution
Lielin Jiang, Na Wang, Qingqing Dang, Rui Liu, Baohua Lai
http://arxiv.org/abs/2112.02828v1
• [cs.CV]PSI: A Pedestrian Behavior Dataset for Socially Intelligent Autonomous Car
Tina Chen, Renran Tian, Yaobin Chen, Joshua Domeyer, Heishiro Toyoda, Rini Sherony, Taotao Jing, Zhengming Ding
http://arxiv.org/abs/2112.02604v1
• [cs.CV]PTTR: Relational 3D Point Cloud Object Tracking with Transformer
Changqing Zhou, Zhipeng Luo, Yueru Luo, Tianrui Liu, Liang Pan, Zhongang Cai, Haiyu Zhao, Shijian Lu
http://arxiv.org/abs/2112.02857v1
• [cs.CV]PointCLIP: Point Cloud Understanding by CLIP
Renrui Zhang, Ziyu Guo, Wei Zhang, Kunchang Li, Xupeng Miao, Bin Cui, Yu Qiao, Peng Gao, Hongsheng Li
http://arxiv.org/abs/2112.02413v1
• [cs.CV]PolyphonicFormer: Unified Query Learning for Depth-aware Video Panoptic Segmentation
Haobo Yuan, Xiangtai Li, Yibo Yang, Guangliang Cheng, Jing Zhang, Yunhai Tong, Lefei Zhang, Dacheng Tao
http://arxiv.org/abs/2112.02582v1
• [cs.CV]Pose-guided Feature Disentangling for Occluded Person Re-identification Based on Transformer
Tao Wang, Hong Liu, Pinhao Song, Tianyu Guo, Wei Shi
http://arxiv.org/abs/2112.02466v1
• [cs.CV]RADA: Robust Adversarial Data Augmentation for Camera Localization in Challenging Weather
Jialu Wang, Muhamad Risqi U. Saputra, Chris Xiaoxuan Lu, Niki Trigon, Andrew Markham
http://arxiv.org/abs/2112.02469v1
• [cs.CV]Real-time Registration and Reconstruction with Cylindrical LiDAR Images
Wei Dong, Kwonyoung Ryu, Michael Kaess, Jaesik Park
http://arxiv.org/abs/2112.02779v1
• [cs.CV]Reliable Propagation-Correction Modulation for Video Object Segmentation
Xiaohao Xu, Jinglu Wang, Xiao Li, Yan Lu
http://arxiv.org/abs/2112.02853v1
• [cs.CV]SITA: Single Image Test-time Adaptation
Ansh Khurana, Sujoy Paul, Piyush Rai, Soma Biswas, Gaurav Aggarwal
http://arxiv.org/abs/2112.02355v1
• [cs.CV]SSAGCN: Social Soft Attention Graph Convolution Network for Pedestrian Trajectory Prediction
Pei Lv, Wentong Wang, Yunxin Wang, Yuzhen Zhang, Mingliang Xu, Changsheng Xu
http://arxiv.org/abs/2112.02459v1
• [cs.CV]STSM: Spatio-Temporal Shift Module for Efficient Action Recognition
Zhaoqilin Yang, Gaoyun An
http://arxiv.org/abs/2112.02523v1
• [cs.CV]Scanpath Prediction on Information Visualisations
Yao Wang, Mihai Bâce, Andreas Bulling
http://arxiv.org/abs/2112.02340v1
• [cs.CV]Seeing BDD100K in dark: Single-Stage Night-time Object Detection via Continual Fourier Contrastive Learning
Ujjal Kr Dutta
http://arxiv.org/abs/2112.02891v1
• [cs.CV]SelectAugment: Hierarchical Deterministic Sample Selection for Data Augmentation
Shiqi Lin, Zhizheng Zhang, Xin Li, Wenjun Zeng, Zhibo Chen
http://arxiv.org/abs/2112.02862v1
• [cs.CV]Semantic Segmentation In-the-Wild Without Seeing Any Segmentation Examples
Nir Zabari, Yedid Hoshen
http://arxiv.org/abs/2112.03185v1
• [cs.CV]Simple Adaptive Projection with Pretrained Features for Anomaly Detection
Xingtai Gui
http://arxiv.org/abs/2112.02597v1
• [cs.CV]Simultaneously Predicting Multiple Plant Traits from Multiple Sensors via Deformable CNN Regression
Pranav Raja, Alex Olenskyj, Hamid Kamangir, Mason Earles
http://arxiv.org/abs/2112.03205v1
• [cs.CV]SyntEO: Synthetic Dataset Generation for Earth Observation with Deep Learning — Demonstrated for Offshore Wind Farm Detection
Thorsten Hoeser, Claudia Kuenzer
http://arxiv.org/abs/2112.02829v1
• [cs.CV]Temporal-Spatial Causal Interpretations for Vision-Based Reinforcement Learning
Wenjie Shi, Gao Huang, Shiji Song, Cheng Wu
http://arxiv.org/abs/2112.03020v1
• [cs.CV]Text2Mesh: Text-Driven Neural Stylization for Meshes
Oscar Michel, Roi Bar-On, Richard Liu, Sagie Benaim, Rana Hanocka
http://arxiv.org/abs/2112.03221v1
• [cs.CV]Texture Reformer: Towards Fast and Universal Interactive Texture Transfer
Zhizhong Wang, Lei Zhao, Haibo Chen, Ailin Li, Zhiwen Zuo, Wei Xing, Dongming Lu
http://arxiv.org/abs/2112.02788v1
• [cs.CV]The artificial synesthete: Image-melody translations with variational autoencoders
Karl Wienand, Wolfgang M. Heckl
http://arxiv.org/abs/2112.02953v1
• [cs.CV]Toward Practical Self-Supervised Monocular Indoor Depth Estimation
Cho-Ying Wu, Jialiang Wang, Michael Hall, Ulrich Neumann, Shuochen Su
http://arxiv.org/abs/2112.02306v1
• [cs.CV]TransCMD: Cross-Modal Decoder Equipped with Transformer for RGB-D Salient Object Detection
Youwei Pang, Xiaoqi Zhao, Lihe Zhang, Huchuan Lu
http://arxiv.org/abs/2112.02363v1
• [cs.CV]U2-Former: A Nested U-shaped Transformer for Image Restoration
Haobo Ji, Xin Feng, Wenjie Pei, Jinxing Li, Guangming Lu
http://arxiv.org/abs/2112.02279v1
• [cs.CV]Unsupervised Adaptation of Semantic Segmentation Models without Source Data
Sujoy Paul, Ansh Khurana, Gaurav Aggarwal
http://arxiv.org/abs/2112.02359v1
• [cs.CV]Unsupervised Domain Adaptation for Semantic Image Segmentation: a Comprehensive Survey
Gabriela Csurka, Riccardo Volpi, Boris Chidlovskii
http://arxiv.org/abs/2112.03241v1
• [cs.CV]Unsupervised Domain Generalization by Learning a Bridge Across Domains
Sivan Harary, Eli Schwartz, Assaf Arbelle, Peter Staar, Shady Abu-Hussein, Elad Amrani, Roei Herzig, Amit Alfassy, Raja Giryes, Hilde Kuehne, Dina Katabi, Kate Saenko, Rogerio Feris, Leonid Karlinsky
http://arxiv.org/abs/2112.02300v1
• [cs.CV]VT-CLIP: Enhancing Vision-Language Models with Visual-guided Texts
Renrui Zhang, Longtian Qiu, Wei Zhang, Ziyao Zeng
http://arxiv.org/abs/2112.02399v1
• [cs.CV]Visual Object Tracking with Discriminative Filters and Siamese Networks: A Survey and Outlook
Sajid Javed, Martin Danelljan, Fahad Shahbaz Khan, Muhammad Haris Khan, Michael Felsberg, Jiri Matas
http://arxiv.org/abs/2112.02838v1
• [cs.CY]Analyzing a Carceral Algorithm used by the Pennsylvania Department of Corrections
Vanessa Massaro, Swarup Dhar, Darakhshan Mir, Nathan C. Ryan
http://arxiv.org/abs/2112.03240v1
• [cs.CY]Staring Down the Digital Fulda Gap Path Dependency as a Cyber Defense Vulnerability
Jan Kallberg
http://arxiv.org/abs/2112.02773v1
• [cs.DC]A Meta-Theorem for Distributed Certification
Pierre Fraigniaud, Pedro Montealegre, Ivan Rapaport, Ioan Todinca
http://arxiv.org/abs/2112.03195v1
• [cs.DC]A Taxonomy of Live Migration Management in Cloud Computing
TianZhang He, Rajkumar Buyya
http://arxiv.org/abs/2112.02593v1
• [cs.DC]Container Orchestration Techniques in Cloud and Edge/Fog Computing Environments
Zhiyu Wang, Rajkumar Buyya
http://arxiv.org/abs/2112.02267v1
• [cs.DC]Distributed Interactive Proofs for the Recognition of Some Geometric Intersection Graph Classes
Benjamin Jauregui, Pedro Montealegre, Ivan Rapaport
http://arxiv.org/abs/2112.03206v1
• [cs.DC]End-to-end Adaptive Distributed Training on PaddlePaddle
Yulong Ao, Zhihua Wu, Dianhai Yu, Weibao Gong, Zhiqing Kui, Minxu Zhang, Zilingfeng Ye, Liang Shen, Yanjun Ma, Tian Wu, Haifeng Wang, Wei Zeng, Chao Yang
http://arxiv.org/abs/2112.02752v1
• [cs.DC]Invalidation-Based Protocols for Replicated Datastores
Antonios Katsarakis
http://arxiv.org/abs/2112.02405v1
• [cs.DC]Online Social Welfare Maximization with Spatio-Temporal Resource Mesh for Serverless
Hailiang Zhao, Shuiguang Deng, Zhengzhe Xiang, Jianwei Yin
http://arxiv.org/abs/2112.02456v1
• [cs.DC]PreGAN: Preemptive Migration Prediction Network for Proactive Fault-Tolerant Edge Computing
Shreshth Tuli, Giuliano Casale, Nicholas R. Jennings
http://arxiv.org/abs/2112.02292v1
• [cs.DC]SIMD-Optimized Search Over Sorted Data
Benjamin Mastripolito, Nicholas Koskelo, Dylan Weatherred, David A. Pimentel, Daniel Sheppard, Anna Pietarila Graham, Laura Monroe, Robert Robey
http://arxiv.org/abs/2112.03229v1
• [cs.DC]Towards Aggregated Asynchronous Checkpointing
Mikaila J. Gossman, Bogdan Nicolae, Jon C. Calhoun, Franck Cappello, Melissa C. Smith
http://arxiv.org/abs/2112.02289v1
• [cs.DL]Grappling with the Scale of Born-Digital Government Publications: Toward Pipelines for Processing and Searching Millions of PDFs
Benjamin Charles Germain Lee, Trevor Owens
http://arxiv.org/abs/2112.02471v1
• [cs.DL]International Conferences of Bibliometrics
Grischa Fraumann, Rogerio Mugnaini, Elias Sanz-Casado
http://arxiv.org/abs/2112.02183v1
• [cs.DL]The h-index
Grischa Fraumann, Ruediger Mutz
http://arxiv.org/abs/2112.02175v1
• [cs.DS]A Novel Prediction Setup for Online Speed-Scaling
Antonios Antoniadis, Peyman Jabbarzade Ganje, Golnoosh Shahkarami
http://arxiv.org/abs/2112.03082v1
• [cs.DS]Modification-Fair Cluster Editing
Vincent Froese, Leon Kellerhals, Rolf Niedermeier
http://arxiv.org/abs/2112.03183v1
• [cs.ET]Optimizing Write Fidelity of MRAMs via Iterative Water-filling Algorithm
Yongjune Kim, Yoocharn Jeon, Hyeokjin Choi, Cyril Guyot, Yuval Cassuto
http://arxiv.org/abs/2112.02842v1
• [cs.HC]Dynamic Bayesian Network Modelling of User Affect and Perceptions of a Teleoperated Robot Coach during Longitudinal Mindfulness Training
Indu P. Bodala, Hatice Gunes
http://arxiv.org/abs/2112.02017v2
• [cs.HC]In Search of Ambiguity: A Three-Stage Workflow Design to Clarify Annotation Guidelines for Crowd Workers
Vivek Krishna Pradhan, Mike Schaekermann, Matthew Lease
http://arxiv.org/abs/2112.02255v1
• [cs.HC]PyBryt: auto-assessment and auto-grading for computational thinking
Christopher Pyles, Francois van Schalkwyk, Gerard J. Gorman, Marijan Beg, Lee Stott, Nir Levy, Ran Gilad-Bachrach
http://arxiv.org/abs/2112.02144v1
• [cs.IR]A General Framework for Debiasing in CTR Prediction
Wenjie Chu, Shen Li, Chao Chen, Longfei Xu, Hengbin Cui, Kaikui Liu
http://arxiv.org/abs/2112.02767v1
• [cs.IR]A Multi-Strategy based Pre-Training Method for Cold-Start Recommendation
Bowen Hao, Hongzhi Yin, Jing Zhang, Cuiping Li, Hong Chen
http://arxiv.org/abs/2112.02275v1
• [cs.IR]A comment-derived evidence appraisal approach for decision-making using uncertain evidence
Shuang Wang, Jian Du
http://arxiv.org/abs/2112.02560v1
• [cs.IR]Considering user dynamic preferences for mitigating negative effects of long tail in recommender systems
Reza Shafiloo, Marjan Kaedi, Ali Pourmiri
http://arxiv.org/abs/2112.02406v1
• [cs.IR]Exploring and Mitigating Gender Bias in Recommender Systems with Explicit Feedback
Shrikant Saxena, Shweta Jain
http://arxiv.org/abs/2112.02530v1
• [cs.IR]Extracting and Measuring Uncertain Biomedical Knowledge from Scientific Statements
Xin Guo, Yuming Chen, Jian Du, Erdan Dong
http://arxiv.org/abs/2112.02570v1
• [cs.IR]Learning Reinforced Dynamic Representations for Sequential Recommendation
Weiqi Shao, Xu Chen, Jiashu Zhao, Long Xia, Dawei Yin
http://arxiv.org/abs/2112.02787v1
• [cs.IR]Long-Tail Session-based Recommendation from Calibration
Jiayi Chen, Wen Wu, Wei Zheng, Liang He
http://arxiv.org/abs/2112.02581v1
• [cs.IR]MatMat: Matrix Factorization by Matrix Fitting
Hao Wang
http://arxiv.org/abs/2112.03089v1
• [cs.IR]Multiple Interest and Fine Granularity Network for User Modeling
Jiaxuan Xie, Jianxiong Wei, Qingsong Hua, Yu Zhang
http://arxiv.org/abs/2112.02591v1
• [cs.IR]Recommender systems: when memory matters
Aleksandra Burashnikova, Marianne Clausel, Massih-Reza Amini, Yury Maximov, Nicolas Dante
http://arxiv.org/abs/2112.02242v1
• [cs.IR]Self-supervised Graph Learning for Occasional Group Recommendation
Bowen Hao, Hongzhi Yin, Jing Zhang, Cuiping Li, Hong Chen
http://arxiv.org/abs/2112.02274v1
• [cs.IR]Sequential Recommendation with Adaptive Preference Disentanglement
Weiqi Shao, Xu Chen, Jiashu Zhao, Long Xia, Dawei Yin
http://arxiv.org/abs/2112.02812v1
• [cs.IR]Variational Autoencoder with CCA for Audio-Visual Cross-Modal Retrieval
Jiwei Zhang, Yi Yu, Suhua Tang, Jianming Wu, Wei Li
http://arxiv.org/abs/2112.02601v1
• [cs.IR]Where the Earth is flat and 9/11 is an inside job: A comparative algorithm audit of conspiratorial information in web search results
Aleksandra Urman, Mykola Makhortykh, Roberto Ulloa, Juhi Kulshrestha
http://arxiv.org/abs/2112.01278v2
• [cs.IR]ZeroMat: Solving Cold-start Problem of Recommender System with No Input Data
Hao Wang
http://arxiv.org/abs/2112.03084v1
• [cs.IT]Analysis of Communication Channels Related to Physical Unclonable Functions
Georg Maringer, Marvin Xhemrishi, Sven Puchinger, Kathrin Garb, Hedongliang Liu, Thomas Jerkovits, Ludwig Kürzinger, Matthias Hiller, Antonia Wachter-Zeh
http://arxiv.org/abs/2112.02198v1
• [cs.IT]AoI-Constrained Bandit: Information Gathering over Unreliable Channels with Age Guarantees
Ziyao Huang, Weiwei Wu, Chenchen Fu, Vincent Chau, Xiang Liu, Jianping Wang, Junzhou Luo
http://arxiv.org/abs/2112.02786v1
• [cs.IT]Capacity Results for MIMO Optical Wireless Communication With Per-Antenna Intensity Constraints
Ru-Han Chen, Longguang Li, Jian Zhang, Lin Li
http://arxiv.org/abs/2112.02220v1
• [cs.IT]Channel Estimation for Large Intelligent Surface-Based Transceiver Using a Parametric Channel Model
Mojtaba Ghermezcheshmeh, Vahid Jamali, Haris Gacanin, Nikola Zlatanov
http://arxiv.org/abs/2112.02874v1
• [cs.IT]Configuring Intelligent Reflecting Surface with Performance Guarantees: Blind Beamforming
Shuyi Ren, Kaiming Shen, Yaowen Zhang, Xin Li, Xin Chen, Zhi-Quan Luo
http://arxiv.org/abs/2112.02285v1
• [cs.IT]Configuring Intelligent Reflecting Surface with Performance Guarantees: Optimal Beamforming
Yaowen Zhang, Kaiming Shen, Shuyi Ren, Xin Li, Xin Chen, Zhi-Quan Luo
http://arxiv.org/abs/2112.02260v1
• [cs.IT]Designing Enhanced Multi-dimensional Constellations for Code-Domain NOMA
Haifeng Wen, Zilong Liu, Qu Luo, Chuang Shi, Pei Xiao
http://arxiv.org/abs/2112.02537v1
• [cs.IT]Ergodic Capacity of IRS-Assisted MIMO Systems with Correlation and Practical Phase-Shift Modeling
Anastasios Papazafeiropoulos
http://arxiv.org/abs/2112.02311v1
• [cs.IT]Favorable Propagation for Massive MIMO with Circular and Cylindrical Antenna Arrays
Elham Anarakifirooz, Sergey Loyka
http://arxiv.org/abs/2112.02404v1
• [cs.IT]Low c-differential uniformity for functions modified on subfields
Daniele Bartoli, Marco Calderini, Constanza Riera, Pantelimon Stanica
http://arxiv.org/abs/2112.02987v1
• [cs.IT]MIMO Networks with One-Bit ADCs: Receiver Design and Communication Strategies
Abbas Khalili, Farhad Shirani, Elza Erkip, Yonina C. Eldar
http://arxiv.org/abs/2112.02128v1
• [cs.IT]Multi-User Holographic MIMO Surface: Channel Modeling and Spectral Efficiency Analysis
Li Wei, Chongwen Huang, George C. Alexandropoulos, Wei E. I. Sha, Zhaoyang Zhang, Merouane Debbah, Chau Yuen
http://arxiv.org/abs/2112.02803v1
• [cs.IT]Near-optimal bounds for signal recovery from blind phaseless periodic short-time Fourier transform
Tamir Bendory, Chi-yu Cheng, Dan Edidin
http://arxiv.org/abs/2112.02836v1
• [cs.IT]Optimal quaternary #card=math&code=%28r%2C%CE%B4%29&id=jWjVZ)-Locally Recoverable Codes: Their Structures and Complete Classification
Li Xu, Zhengchun Zhou, Jun Zhang, Sihem Mesnager
http://arxiv.org/abs/2112.02569v1
• [cs.IT]Per-Link Parallel and Distributed Hybrid Beamforming for Multi-User Multi-Cell Massive MIMO Millimeter Wave Full Duplex
Chandan Kumar Sheemar, Dirk Slock
http://arxiv.org/abs/2112.02335v1
• [cs.IT]Semantic Coded Transmission: Architecture, Methodology, and Challenges
Jincheng Dai, Ping Zhang, Kai Niu, Sixian Wang, Zhongwei Si, Xiaoqi Qin
http://arxiv.org/abs/2112.03093v1
• [cs.LG]A Marketplace for Trading AI Models based on Blockchain and Incentives for IoT Data
Lam Duc Nguyen, Shashi Raj Pandey, Soret Beatriz, Arne Broering, Petar Popovski
http://arxiv.org/abs/2112.02870v1
• [cs.LG]A Novel Sequential Coreset Method for Gradient Descent Algorithms
Jiawei Huang, Ruomin Huang, Wenjie Liu, Nikolaos M. Freris, Hu Ding
http://arxiv.org/abs/2112.02504v1
• [cs.LG]ALX: Large Scale Matrix Factorization on TPUs
Harsh Mehta, Steffen Rendle, Walid Krichene, Li Zhang
http://arxiv.org/abs/2112.02194v1
• [cs.LG]AdaSTE: An Adaptive Straight-Through Estimator to Train Binary Neural Networks
Huu Le, Rasmus Kjær Høier, Che-Tsung Lin, Christopher Zach
http://arxiv.org/abs/2112.02880v1
• [cs.LG]Adaptive label thresholding methods for online multi-label classification
Tingting Zhai, Hongcheng Tang, Hao Wang
http://arxiv.org/abs/2112.02301v1
• [cs.LG]Anchoring to Exemplars for Training Mixture-of-Expert Cell Embeddings
Siqi Wang, Manyuan Lu, Nikita Moshkov, Juan C. Caicedo, Bryan A. Plummer
http://arxiv.org/abs/2112.03208v1
• [cs.LG]Anomaly Detection of Wind Turbine Time Series using Variational Recurrent Autoencoders
Alan Preciado-Grijalva, Victor Rodrigo Iza-Teran
http://arxiv.org/abs/2112.02468v1
• [cs.LG]Augmentation-Free Self-Supervised Learning on Graphs
Namkyeong Lee, Junseok Lee, Chanyoung Park
http://arxiv.org/abs/2112.02472v1
• [cs.LG]Automap: Towards Ergonomic Automated Parallelism for ML Models
Michael Schaarschmidt, Dominik Grewe, Dimitrios Vytiniotis, Adam Paszke, Georg Stefan Schmid, Tamara Norman, James Molloy, Jonathan Godwin, Norman Alexander Rink, Vinod Nair, Dan Belov
http://arxiv.org/abs/2112.02958v1
• [cs.LG]BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery
Chris Cundy, Aditya Grover, Stefano Ermon
http://arxiv.org/abs/2112.02761v1
• [cs.LG]BenchML: an extensible pipelining framework for benchmarking representations of materials and molecules at scale
Carl Poelking, Felix A. Faber, Bingqing Cheng
http://arxiv.org/abs/2112.02287v1
• [cs.LG]Benchmark for Out-of-Distribution Detection in Deep Reinforcement Learning
Aaqib Parvez Mohammed, Matias Valdenegro-Toro
http://arxiv.org/abs/2112.02694v1
• [cs.LG]Beyond Robustness: Resilience Verification of Tree-Based Classifiers
Stefano Calzavara, Lorenzo Cazzaro, Claudio Lucchese, Federico Marcuzzi, Salvatore Orlando
http://arxiv.org/abs/2112.02705v1
• [cs.LG]CDGNet: A Cross-Time Dynamic Graph-based Deep Learning Model for Traffic Forecasting
Yuchen Fang, Yanjun Qin, Haiyong Luo, Fang Zhao, Liang Zeng, Bo Hui, Chenxing Wang
http://arxiv.org/abs/2112.02736v1
• [cs.LG]Combining Embeddings and Fuzzy Time Series for High-Dimensional Time Series Forecasting in Internet of Energy Applications
Hugo Vinicius Bitencourt, Luiz Augusto Facury de Souza, Matheus Cascalho dos Santos, Petrônio Cândido de Lima e Silva, Frederico Gadelha Guimarães
http://arxiv.org/abs/2112.02140v1
• [cs.LG]Contextual Bandit Applications in Customer Support Bot
Sandra Sajeev, Jade Huang, Nikos Karampatziakis, Matthew Hall, Sebastian Kochman, Weizhu Chen
http://arxiv.org/abs/2112.03210v1
• [cs.LG]Counterfactual Fairness in Mortgage Lending via Matching and Randomization
Sama Ghoba, Nathan Colaner
http://arxiv.org/abs/2112.02170v1
• [cs.LG]Curriculum Meta-Learning for Few-shot Classification
Emmanouil Stergiadis, Priyanka Agrawal, Oliver Squire
http://arxiv.org/abs/2112.02913v1
• [cs.LG]DANets: Deep Abstract Networks for Tabular Data Classification and Regression
Jintai Chen, Kuanlun Liao, Yao Wan, Danny Z. Chen, Jian Wu
http://arxiv.org/abs/2112.02962v1
• [cs.LG]DMGCRN: Dynamic Multi-Graph Convolution Recurrent Network for Traffic Forecasting
Yanjun Qin, Yuchen Fang, Haiyong Luo, Fang Zhao, Chenxing Wang
http://arxiv.org/abs/2112.02264v1
• [cs.LG]Detecting DeFi Securities Violations from Token Smart Contract Code with Random Forest Classification
Arianna Trozze, Bennett Kleinberg, Toby Davies
http://arxiv.org/abs/2112.02731v1
• [cs.LG]Distance and Hop-wise Structures Encoding Enhanced Graph Attention Networks
Zhiguo Huang, Xiaowei Chen, Bojuan Wang
http://arxiv.org/abs/2112.02868v1
• [cs.LG]Distilled Domain Randomization
Julien Brosseit, Benedikt Hahner, Fabio Muratore, Michael Gienger, Jan Peters
http://arxiv.org/abs/2112.03149v1
• [cs.LG]Distributed Adaptive Learning Under Communication Constraints
Marco Carpentiero, Vincenzo Matta, Ali H. Sayed
http://arxiv.org/abs/2112.02129v1
• [cs.LG]Diverse, Global and Amortised Counterfactual Explanations for Uncertainty Estimates
Dan Ley, Umang Bhatt, Adrian Weller
http://arxiv.org/abs/2112.02646v1
• [cs.LG]ED2: An Environment Dynamics Decomposition Framework for World Model Construction
Cong Wang, Tianpei Yang, Jianye Hao, Yan Zheng, Hongyao Tang, Fazl Barez, Jinyi Liu, Jiajie Peng, Haiyin Piao, Zhixiao Sun
http://arxiv.org/abs/2112.02817v1
• [cs.LG]ES-dRNN: A Hybrid Exponential Smoothing and Dilated Recurrent Neural Network Model for Short-Term Load Forecasting
Slawek Smyl, Grzegorz Dudek, Paweł Pełka
http://arxiv.org/abs/2112.02663v1
• [cs.LG]Efficient Pressure: Improving efficiency for signalized intersections
Qiang Wu, Liang Zhang, Jun Shen, Linyuan Lü, Bo Du, Jianqing Wu
http://arxiv.org/abs/2112.02336v1
• [cs.LG]Ensemble and Mixed Learning Techniques for Credit Card Fraud Detection
Daniel H. M. de Souza, Claudio J. Bordin Jr
http://arxiv.org/abs/2112.02627v1
• [cs.LG]Explainable Deep Learning in Healthcare: A Methodological Survey from an Attribution View
Di Jin, Elena Sergeeva, Wei-Hung Weng, Geeticka Chauhan, Peter Szolovits
http://arxiv.org/abs/2112.02625v1
• [cs.LG]Exploring Complicated Search Spaces with Interleaving-Free Sampling
Yunjie Tian, Lingxi Xie, Jiemin Fang, Jianbin Jiao, Qixiang Ye, Qi Tian
http://arxiv.org/abs/2112.02488v1
• [cs.LG]Fast Graph Neural Tangent Kernel via Kronecker Sketching
Shunhua Jiang, Yunze Man, Zhao Song, Zheng Yu, Danyang Zhuo
http://arxiv.org/abs/2112.02446v1
• [cs.LG]Flexible Option Learning
Martin Klissarov, Doina Precup
http://arxiv.org/abs/2112.03097v1
• [cs.LG]Functional Regularization for Reinforcement Learning via Learned Fourier Features
Alexander C. Li, Deepak Pathak
http://arxiv.org/abs/2112.03257v1
• [cs.LG]GAM Changer: Editing Generalized Additive Models with Interactive Visualization
Zijie J. Wang, Alex Kale, Harsha Nori, Peter Stella, Mark Nunnally, Duen Horng Chau, Mihaela Vorvoreanu, Jennifer Wortman Vaughan, Rich Caruana
http://arxiv.org/abs/2112.03245v1
• [cs.LG]Hierarchical Reinforcement Learning with Timed Subgoals
Nico Gürtler, Dieter Büchler, Georg Martius
http://arxiv.org/abs/2112.03100v1
• [cs.LG]Inf-CP: A Reliable Channel Pruning based on Channel Influence
Bilan Lai, Haoran Xiang, Furao Shen
http://arxiv.org/abs/2112.02521v1
• [cs.LG]Intelligent Acoustic Module for Autonomous Vehicles using Fast Gated Recurrent approach
Raghav Rawat, Shreyash Gupta, Shreyas Mohapatra, Sujata Priyambada Mishra, Sreesankar Rajagopal
http://arxiv.org/abs/2112.03174v1
• [cs.LG]Intrinisic Gradient Compression for Federated Learning
Luke Melas-Kyriazi, Franklyn Wang
http://arxiv.org/abs/2112.02656v1
• [cs.LG]Is Class-Incremental Enough for Continual Learning?
Andrea Cossu, Gabriele Graffieti, Lorenzo Pellegrini, Davide Maltoni, Davide Bacciu, Antonio Carta, Vincenzo Lomonaco
http://arxiv.org/abs/2112.02925v1
• [cs.LG]Joint Superposition Coding and Training for Federated Learning over Multi-Width Neural Networks
Hankyul Baek, Won Joon Yun, Yunseok Kwak, Soyi Jung, Mingyue Ji, Mehdi Bennis, Jihong Park, Joongheon Kim
http://arxiv.org/abs/2112.02543v1
• [cs.LG]KDCTime: Knowledge Distillation with Calibration on InceptionTime for Time-series Classification
Xueyuan Gong, Yain-Whar Si, Yongqi Tian, Cong Lin, Xinyuan Zhang, Xiaoxiang Liu
http://arxiv.org/abs/2112.02291v1
• [cs.LG]Keeping it Simple: Language Models can learn Complex Molecular Distributions
Daniel Flam-Shepherd, Kevin Zhu, Alán Aspuru-Guzik
http://arxiv.org/abs/2112.03041v1
• [cs.LG]Learning Generalized Causal Structure in Time-series
Aditi Kathpalia, Keerti P. Charantimath, Nithin Nagaraj
http://arxiv.org/abs/2112.03085v1
• [cs.LG]Logic Shrinkage: Learned FPGA Netlist Sparsity for Efficient Neural Network Inference
Erwei Wang, James J. Davis, Georgios-Ilias Stavrou, Peter Y. K. Cheung, George A. Constantinides, Mohamed Abdelfattah
http://arxiv.org/abs/2112.02346v1
• [cs.LG]MDPGT: Momentum-based Decentralized Policy Gradient Tracking
Zhanhong Jiang, Xian Yeow Lee, Sin Yong Tan, Kai Liang Tan, Aditya Balu, Young M. Lee, Chinmay Hegde, Soumik Sarkar
http://arxiv.org/abs/2112.02813v1
• [cs.LG]ML Attack Models: Adversarial Attacks and Data Poisoning Attacks
Jing Lin, Long Dang, Mohamed Rahouti, Kaiqi Xiong
http://arxiv.org/abs/2112.02797v1
• [cs.LG]Math Programming based Reinforcement Learning for Multi-Echelon Inventory Management
Pavithra Harsha, Ashish Jagmohan, Jayant R. Kalagnanam, Brian Quanz, Divya Singhvi
http://arxiv.org/abs/2112.02215v1
• [cs.LG]Multi-scale Feature Learning Dynamics: Insights for Double Descent
Mohammad Pezeshki, Amartya Mitra, Yoshua Bengio, Guillaume Lajoie
http://arxiv.org/abs/2112.03215v1
• [cs.LG]NN-LUT: Neural Approximation of Non-Linear Operations for Efficient Transformer Inference
Joonsang Yu, Junki Park, Seongmin Park, Minsoo Kim, Sihwa Lee, Dong Hyun Lee, Jungwook Choi
http://arxiv.org/abs/2112.02191v1
• [cs.LG]Neural Pseudo-Label Optimism for the Bank Loan Problem
Aldo Pacchiano, Shaun Singh, Edward Chou, Alexander C. Berg, Jakob Foerster
http://arxiv.org/abs/2112.02185v1
• [cs.LG]Nonstochastic Bandits with Composite Anonymous Feedback
Nicolò Cesa-Bianchi, Tommaso Cesari, Roberto Colomboni, Claudio Gentile, Yishay Mansour
http://arxiv.org/abs/2112.02866v1
• [cs.LG]Offline Pre-trained Multi-Agent Decision Transformer: One Big Sequence Model Conquers All StarCraftII Tasks
Linghui Meng, Muning Wen, Yaodong Yang, Chenyang Le, Xiyun Li, Weinan Zhang, Ying Wen, Haifeng Zhang, Jun Wang, Bo Xu
http://arxiv.org/abs/2112.02845v1
• [cs.LG]On Submodular Contextual Bandits
Dean P. Foster, Alexander Rakhlin
http://arxiv.org/abs/2112.02165v1
• [cs.LG]On the Convergence of Shallow Neural Network Training with Randomly Masked Neurons
Fangshuo Liao, Anastasios Kyrillidis
http://arxiv.org/abs/2112.02668v1
• [cs.LG]Optimal No-Regret Learning in Strongly Monotone Games with Bandit Feedback
Tianyi Lin, Zhengyuan Zhou, Wenjia Ba, Jiawei Zhang
http://arxiv.org/abs/2112.02856v1
• [cs.LG]Optimization-Based Separations for Neural Networks
Itay Safran, Jason D. Lee
http://arxiv.org/abs/2112.02393v1
• [cs.LG]Overcome Anterograde Forgetting with Cycled Memory Networks
Jian Peng, Dingqi Ye, Bo Tang, Yinjie Lei, Yu Liu, Haifeng Li
http://arxiv.org/abs/2112.02342v1
• [cs.LG]Pairwise Learning for Neural Link Prediction
Zhitao Wang, Yong Zhou, Litao Hong, Yuanhang Zou, Hanjing Su
http://arxiv.org/abs/2112.02936v1
• [cs.LG]Parameter Efficient Deep Probabilistic Forecasting
Olivier Sprangers Sebastian Schelter Maarten de Rijke
http://arxiv.org/abs/2112.02905v1
• [cs.LG]Physically Consistent Neural Networks for building thermal modeling: theory and analysis
Loris Di Natale, Bratislav Svetozarevic, Philipp Heer, Colin N. Jones
http://arxiv.org/abs/2112.03212v1
• [cs.LG]Probabilistic Deep Learning to Quantify Uncertainty in Air Quality Forecasting
Abdulmajid Murad, Frank Alexander Kraemer, Kerstin Bach, Gavin Taylor
http://arxiv.org/abs/2112.02622v1
• [cs.LG]Properties of Minimizing Entropy
Xu Ji, Lena Nehale-Ezzine, Maksym Korablyov
http://arxiv.org/abs/2112.03143v1
• [cs.LG]Prototypical Model with Novel Information-theoretic Loss Function for Generalized Zero Shot Learning
Chunlin Ji, Hanchu Shen, Zhan Xiong, Feng Chen, Meiying Zhang, Huiwen Yang
http://arxiv.org/abs/2112.03134v1
• [cs.LG]Radial Basis Function Approximation with Distributively Stored Data on Spheres
Han Feng, Shao-Bo Lin, Ding-Xuan Zhou
http://arxiv.org/abs/2112.02499v1
• [cs.LG]Real-time Informative Surgical Skill Assessment with Gaussian Process Learning
Yangming Li, Randall Bly, Sarah Akkina, Rajeev C. Saxena, Ian Humphreys, Mark Whipple, Kris Moe, Blake Hannaford
http://arxiv.org/abs/2112.02598v1
• [cs.LG]Robust Active Learning: Sample-Efficient Training of Robust Deep Learning Models
Yuejun Guo, Qiang Hu, Maxime Cordy, Mike Papadakis, Yves Le Traon
http://arxiv.org/abs/2112.02542v1
• [cs.LG]STJLA: A Multi-Context Aware Spatio-Temporal Joint Linear Attention Network for Traffic Forecasting
Yuchen Fang, Yanjun Qin, Haiyong Luo, Fang Zhao, Chenxing Wang
http://arxiv.org/abs/2112.02262v1
• [cs.LG]STformer: A Noise-Aware Efficient Spatio-Temporal Transformer Architecture for Traffic Forecasting
Yanjun Qin, Yuchen Fang, Haiyong Luo, Liang Zeng, Fang Zhao, Chenxing Wang
http://arxiv.org/abs/2112.02740v1
• [cs.LG]Scaling Up Influence Functions
Andrea Schioppa, Polina Zablotskaia, David Vilar, Artem Sokolov
http://arxiv.org/abs/2112.03052v1
• [cs.LG]Smart IoT-Biofloc water management system using Decision regression tree
Samsil Arefin Mozumder, A S M Sharifuzzaman Sagar
http://arxiv.org/abs/2112.02577v1
• [cs.LG]Stochastic Local Winner-Takes-All Networks Enable Profound Adversarial Robustness
Konstantinos P. Panousis, Sotirios Chatzis, Sergios Theodoridis
http://arxiv.org/abs/2112.02671v1
• [cs.LG]Target Entropy Annealing for Discrete Soft Actor-Critic
Yaosheng Xu, Dailin Hu, Litian Liang, Stephen McAleer, Pieter Abbeel, Roy Fox
http://arxiv.org/abs/2112.02852v1
• [cs.LG]Thinking Beyond Distributions in Testing Machine Learned Models
Negar Rostamzadeh, Ben Hutchinson, Christina Greer, Vinodkumar Prabhakaran
http://arxiv.org/abs/2112.03057v1
• [cs.LG]Towards the One Learning Algorithm Hypothesis: A System-theoretic Approach
Christos Mavridis, John Baras
http://arxiv.org/abs/2112.02256v1
• [cs.LG]Training Structured Neural Networks Through Manifold Identification and Variance Reduction
Zih-Syuan Huang, Ching-pei Lee
http://arxiv.org/abs/2112.02612v1
• [cs.LG]TransBoost: A Boosting-Tree Kernel Transfer Learning Algorithm for Improving Financial Inclusion
Yiheng Sun, Tian Lu, Cong Wang, Yuan Li, Huaiyu Fu, Jingran Dong, Yunjie Xu
http://arxiv.org/abs/2112.02365v1
• [cs.LG]Transfer learning to improve streamflow forecasts in data sparse regions
Roland Oruche, Lisa Egede, Tracy Baker, Fearghal O’Donncha
http://arxiv.org/abs/2112.03088v1
• [cs.LG]Traversing Time with Multi-Resolution Gaussian Process State-Space Models
Krista Longi, Jakob Lindinger, Olaf Duennbier, Melih Kandemir, Arto Klami, Barbara Rakitsch
http://arxiv.org/abs/2112.03230v1
• [cs.LG]Trivial bundle embeddings for learning graph representations
Zheng Xie, Xiaojing Zuo, Yiping Song
http://arxiv.org/abs/2112.02531v1
• [cs.LG]Two Wrongs Don’t Make a Right: Combating Confirmation Bias in Learning with Label Noise
Mingcai Chen, Hao Cheng, Yuntao Du, Ming Xu, Wenyu Jiang, Chongjun Wang
http://arxiv.org/abs/2112.02960v1
• [cs.LG]Understanding Dynamic Spatio-Temporal Contexts in Long Short-Term Memory for Road Traffic Speed Prediction
Won Kyung Lee, Deuk Sin Kwon, So Young Sohn
http://arxiv.org/abs/2112.02409v1
• [cs.LG]Using Convolutional Neural Networks for fault analysis and alleviation in accelerator systems
Jashanpreet Singh Sraw, Deepak M C
http://arxiv.org/abs/2112.02657v1
• [cs.LG]Variational Wasserstein gradient flow
Jiaojiao Fan, Amirhossein Taghvaei, Yongxin Chen
http://arxiv.org/abs/2112.02424v1
• [cs.LG]When the Curious Abandon Honesty: Federated Learning Is Not Private
Franziska Boenisch, Adam Dziedzic, Roei Schuster, Ali Shahin Shamsabadi, Ilia Shumailov, Nicolas Papernot
http://arxiv.org/abs/2112.02918v1
• [cs.MA]Unfairness Despite Awareness: Group-Fair Classification with Strategic Agents
Andrew Estornell, Sanmay Das, Yang Liu, Yevgeniy Vorobeychik
http://arxiv.org/abs/2112.02746v1
• [cs.MM]MoCA: Incorporating Multi-stage Domain Pretraining and Cross-guided Multimodal Attention for Textbook Question Answering
Fangzhi Xu, Qika Lin, Jun Liu, Lingling Zhang, Tianzhe Zhao, Qi Chai, Yudai Pan
http://arxiv.org/abs/2112.02839v1
• [cs.NI]Modeling Live Video Streaming: Real-Time Classification, QoE Inference, and Field Evaluation
Sharat Chandra Madanapalli, Alex Mathai, Hassan Habibi Gharakheili, Vijay Sivaraman
http://arxiv.org/abs/2112.02637v1
• [cs.NI]Predicting Bandwidth Utilization on Network Links Using Machine Learning
Maxime Labonne, Charalampos Chatzinakis, Alexis Olivereau
http://arxiv.org/abs/2112.02417v1
• [cs.NI]RCP: A Temporal Clustering Algorithm for Real-time Controller Placement in Mobile SDN Systems
Reza Soleymanifar, Carolyn Beck
http://arxiv.org/abs/2112.03037v1
• [cs.NI]Sensor as a Company: On Self-Sustaining IoT Commons
Haojian Jin, Swarun Kumar, Jason I. Hong
http://arxiv.org/abs/2112.02775v1
• [cs.NI]UniLog: Deploy One Model and Specialize it for All Log Analysis Tasks
Yichen Zhu, Weibin Meng, Ying Liu, Shenglin Zhang, Tao Han, Shimin Tao, Dan Pei
http://arxiv.org/abs/2112.03159v1
• [cs.RO]A Bio-inspired Modular System for Humanoid Posture Control
Vittorio Lippi, Thomas Mergner, Georg Hettich
http://arxiv.org/abs/2112.02356v1
• [cs.RO]A Dataset of Stationary, Fixed-wing Aircraft on a Collision Course for Vision-Based Sense and Avoid
Jasmin Martin, Jenna Riseley, Jason J. Ford
http://arxiv.org/abs/2112.02735v1
• [cs.RO]A Low-cost Robot with Autonomous Recharge and Navigation for Weed Control in Fields with Narrow Row Spacing
Yayun Du, Bhrugu Mallajosyula, Deming Sun, Jingyi Chen, Zihang Zhao, Mukhlesur Rahman, Mohiuddin Quadir, Mohammad Khalid Jawed
http://arxiv.org/abs/2112.02162v1
• [cs.RO]Active Sensing for Search and Tracking: A Review
Luca Varotto, Angelo Cenedese, Andrea Cavallaro
http://arxiv.org/abs/2112.02381v1
• [cs.RO]CALVIN: A Benchmark for Language-conditioned Policy Learning for Long-horizon Robot Manipulation Tasks
Oier Mees, Lukas Hermann, Erick Rosete-Beas, Wolfram Burgard
http://arxiv.org/abs/2112.03227v1
• [cs.RO]CTIN: Robust Contextual Transformer Network for Inertial Navigation
Bingbing Rao, Ehsan Kazemi, Yifan Ding, Devu M Shila, Frank M. Tucker, Liqiang Wang
http://arxiv.org/abs/2112.02143v1
• [cs.RO]DemoGrasp: Few-Shot Learning for Robotic Grasping with Human Demonstration
Pengyuan Wang, Fabian Manhardt, Luca Minciullo, Lorenzo Garattoni, Sven Meie, Nassir Navab, Benjamin Busam
http://arxiv.org/abs/2112.02849v1
• [cs.RO]Feature Disentanglement of Robot Trajectories
Matias Valdenegro-Toro, Daniel Harnack, Hendrik Wöhrle
http://arxiv.org/abs/2112.03164v1
• [cs.RO]Flexible-Joint Manipulator Trajectory Tracking with Learned Two-Stage Model employing One-Step Future Prediction
Dmytro Pavlichenko, Sven Behnke
http://arxiv.org/abs/2112.02979v1
• [cs.RO]Functional Task Tree Generation from a Knowledge Graph to Solve Unseen Problems
Md. Sadman Sakib, David Paulius, Yu Sun
http://arxiv.org/abs/2112.02433v1
• [cs.RO]Improving the Robustness of Reinforcement Learning Policies with Adaptive Control
Y. Cheng, P. Zhao, F. Wang, D. J. Block, N. Hovakimyan
http://arxiv.org/abs/2112.01953v2
• [cs.RO]Learning-based Measurement Scheduling for Loosely-Coupled Cooperative Localization
Jianan Zhu, Solmaz S. Kia
http://arxiv.org/abs/2112.02843v1
• [cs.RO]Optimal Trajectory Generation for Autonomous Vehicles Under Centripetal Acceleration Constraints for In-lane Driving Scenarios
Yajia Zhang, Hongyi Sun, Jinyun Zhou, Jiangtao Hu, Jinghao Miao
http://arxiv.org/abs/2112.02133v1
• [cs.RO]Optimal Vehicle Path Planning Using Quadratic Optimization for Baidu Apollo Open Platform
Yajia Zhang, Hongyi Sun, Jinyun Zhou, Jiacheng Pan, Jiangtao Hu, Jinghao Miao
http://arxiv.org/abs/2112.02132v1
• [cs.RO]Reinforcement Learning for Navigation of Mobile Robot with LiDAR
Inhwan Kim, Sarvar Hussain Nengroo, Dongsoo Har
http://arxiv.org/abs/2112.02954v1
• [cs.RO]Stage Conscious Attention Network (SCAN) : A Demonstration-Conditioned Policy for Few-Shot Imitation
Jia-Fong Yeh, Chi-Ming Chung, Hung-Ting Su, Yi-Ting Chen, Winston H. Hsu
http://arxiv.org/abs/2112.02278v1
• [cs.RO]UAV Formation Preservation for Target Tracking Applications
Aditya Hegde, Jasmine Jerry Aloor, Debasish Ghose
http://arxiv.org/abs/2112.03012v1
• [cs.SD]Conditional Deep Hierarchical Variational Autoencoder for Voice Conversion
Kei Akuzawa, Kotaro Onishi, Keisuke Takiguchi, Kohki Mametani, Koichiro Mori
http://arxiv.org/abs/2112.02796v1
• [cs.SD]VocBench: A Neural Vocoder Benchmark for Speech Synthesis
Ehab A. AlBadawy, Andrew Gibiansky, Qing He, Jilong Wu, Ming-Ching Chang, Siwei Lyu
http://arxiv.org/abs/2112.03099v1
• [cs.SD]YourTTS: Towards Zero-Shot Multi-Speaker TTS and Zero-Shot Voice Conversion for everyone
Edresson Casanova, Julian Weber, Christopher Shulby, Arnaldo Candido Junior, Eren Gölge, Moacir Antonelli Ponti
http://arxiv.org/abs/2112.02418v1
• [cs.SE]Bridging Pre-trained Models and Downstream Tasks for Source Code Understanding
Deze Wang, Zhouyang Jia, Shanshan Li, Yue Yu, Yun Xiong, Wei Dong, Xiangke Liao
http://arxiv.org/abs/2112.02268v1
• [cs.SE]Fast Test Input Generation for Finding Deviated Behaviors in Compressed Deep Neural Network
Yongqiang Tian, Wuqi Zhang, Ming Wen, Shing-Chi Cheung, Chengnian Sun, Shiqing Ma, Yu Jiang
http://arxiv.org/abs/2112.02819v1
• [cs.SE]MDPFuzzer: Finding Crash-Triggering State Sequences in Models Solving the Markov Decision Process
Qi Pang, Yuanyuan Yuan, Shuai Wang
http://arxiv.org/abs/2112.02807v1
• [cs.SE]VarCLR: Variable Semantic Representation Pre-training via Contrastive Learning
Qibin Chen, Jeremy Lacomis, Edward J. Schwartz, Graham Neubig, Bogdan Vasilescu, Claire Le Goues
http://arxiv.org/abs/2112.02650v1
• [cs.SI]Characterizing Retweet Bots: The Case of Black Market Accounts
Tuğrulcan Elmas, Rebekah Overdorf, Karl Aberer
http://arxiv.org/abs/2112.02366v1
• [cs.SI]Creativity in social networks is enhanced by ‘Goldilocks’ dispersal of ideators’ visibility
Raiyan Abdul Baten, Richard N. Aslin, Gourab Ghoshal, Ehsan Hoque
http://arxiv.org/abs/2112.03140v1
• [cs.SI]Influential Node Ranking in Complex Networks Using A Randomized DynamicsSensitive Approach
Ahmad Asgharian Rezaei, Mahdi Jalili, Hamid Khayyam
http://arxiv.org/abs/2112.02927v1
• [cs.SI]Local topological features of robust supply networks
Alexey Lyutov, Yilmaz Uygun, Marc-Thorsten Hütt
http://arxiv.org/abs/2112.02310v1
• [cs.SI]Mitigating Biological Epidemic on Heterogeneous Social Networks
Jagtap Kalyani Devendra, Kundan Kandhway
http://arxiv.org/abs/2112.02811v1
• [cs.SI]iNaturalist citizen science community during City Nature Challenge: new computational approach for analysis of user activity
Liubov Tupikina, Frank Schlosser, Vadim Voskresenskii, Katharina Kloppenborg, Florence Lopez, Albrecht Mariz, Anna Mogilevskaja, Muki Haklay, Bastian Greshake Tzovaras
http://arxiv.org/abs/2112.02693v1
• [eess.IV]A comparison study of CNN denoisers on PRNU extraction
Hui Zeng, Morteza Darvish Morshedi Hosseini, Kang Deng, Anjie Peng, Miroslav Goljan
http://arxiv.org/abs/2112.02858v1
• [eess.IV]Classification of COVID-19 on chest X-Ray images using Deep Learning model with Histogram Equalization and Lungs Segmentation
Hitendra Singh Bhadouria, Krishan Kumar, Aman Swaraj, Karan Verma, Arshpreet Kaur, Shasvat Sharma, Ghanshyam Singh, Ashok Kumar, Leandro Melo de Sales
http://arxiv.org/abs/2112.02478v1
• [eess.IV]Fast 3D registration with accurate optimisation and little learning for Learn2Reg 2021
Hanna Siebert, Lasse Hansen, Mattias P. Heinrich
http://arxiv.org/abs/2112.03053v1
• [eess.IV]Joint Learning of Localized Representations from Medical Images and Reports
Philip Müller, Georgios Kaissis, Congyu Zou, Daniel Rückert
http://arxiv.org/abs/2112.02889v1
• [eess.IV]Real-time Virtual Intraoperative CT for Image Guided Surgery
Yangming Li, Neeraja Konuthula, Ian M. Humphreys, Kris Moe, Blake Hannaford, Randall Bly
http://arxiv.org/abs/2112.02608v1
• [eess.IV]Separated Contrastive Learning for Organ-at-Risk and Gross-Tumor-Volume Segmentation with Limited Annotation
Jiacheng Wang, Xiaomeng Li, Yiming Han, Jing Qin, Liansheng Wang, Qichao Zhou
http://arxiv.org/abs/2112.02743v1
• [eess.IV]Snapshot HDR Video Construction Using Coded Mask
Masheal Alghamdi, Qiang Fu, Ali Thabet, Wolfgang Heidrich
http://arxiv.org/abs/2112.02522v1
• [eess.IV]Tunable Image Quality Control of 3-D Ultrasound using Switchable CycleGAN
Jaeyoung Huh, Shujaat Khan, Sungjin Choi, Dongkuk Shin, Eun Sun Lee, Jong Chul Ye
http://arxiv.org/abs/2112.02896v1
• [eess.IV]Uncertainty-Guided Mutual Consistency Learning for Semi-Supervised Medical Image Segmentation
Yichi Zhang, Qingcheng Liao, Rushi Jiao, Jicong Zhang
http://arxiv.org/abs/2112.02508v1
• [eess.SP]Geometric Constellation Shaping for Phase-noise Channels Using a Differentiable Blind Phase Search
Andrej Rode, Benedikt Geiger, Laurent Schmalen
http://arxiv.org/abs/2112.03114v1
• [eess.SP]Iterated Posterior Linearization PMB Filter for 5G SLAM
Yu Ge, Yibo Wu, Fan Jiang, Ossi Kaltiokallio, Jukka Talvitie, Mikko Valkama, Lennart Svensson, Henk Wymeersch
http://arxiv.org/abs/2112.02575v1
• [eess.SY]Learning Swarm Interaction Dynamics from Density Evolution
Christos Mavridis, Amoolya Tirumalai, John Baras
http://arxiv.org/abs/2112.02675v1
• [hep-ph]Autoencoders for Semivisible Jet Detection
Florencia Canelli, Annapaola de Cosa, Luc Le Pottier, Jeremi Niedziela, Kevin Pedro, Maurizio Pierini
http://arxiv.org/abs/2112.02864v1
• [math.MG]Discovering new Properties and Invariants of Harmonic Polygons
Ronaldo Garcia, Dan Reznik, Pedro Roitman
http://arxiv.org/abs/2112.02545v1
• [math.MG]Hexagonal Flanks, Confocal Parabolas, and a Focal Equilateral
Peter Moses, Dan Reznik
http://arxiv.org/abs/2112.02157v1
• [math.NA]An iterative solver for the HPS discretization applied to three dimensional Helmholtz problems
José Pablo Lucero Lorca, Natalie Beams, Damien Beecroft, Adrianna Gillman
http://arxiv.org/abs/2112.02211v1
• [math.NA]On the stability and performance of the solution of sparse linear systems by partitioned procedures
Abal-Kassim Cheik Ahamed, Frederic Magoules
http://arxiv.org/abs/2112.02377v1
• [math.OC]A Divide-and-Conquer Algorithm for Distributed Optimization on Networks
Nazar Emirov, Guohui Song, Qiyu Sun
http://arxiv.org/abs/2112.02197v1
• [math.OC]DNN-based Policies for Stochastic AC OPF
Sarthak Gupta, Sidhant Misra, Deepjyoti Deka, Vassilis Kekatos
http://arxiv.org/abs/2112.02441v1
• [math.OC]Learning to Search in Local Branching
Defeng Liu, Matteo Fischetti, Andrea Lodi
http://arxiv.org/abs/2112.02195v1
• [math.ST]Characterization Theorems for Pseudo-Variograms
Christopher Dörr, Martin Schlather
http://arxiv.org/abs/2112.02595v1
• [math.ST]Estimation and reduced bias estimation of the residual dependence index with unnamed marginals
Jennifer Israelsson, Emily Black, Claudia Neves, David Walshaw
http://arxiv.org/abs/2112.02899v1
• [math.ST]Hypothesis Test of a Truncated Sample Mean for the Extremely Heavy-Tailed Distributions
Tang Fuquan, Han Dong
http://arxiv.org/abs/2112.02742v1
• [math.ST]Minimax properties of Dirichlet kernel density estimators
Karine Bertin, Christian Genest, Nicolas Klutchnikoff, Frédéric Ouimet
http://arxiv.org/abs/2112.03217v1
• [math.ST]Nonparametric mixture MLEs under Gaussian-smoothed optimal transport distance
Fang Han, Zhen Miao, Yandi Shen
http://arxiv.org/abs/2112.02421v1
• [math.ST]Strong mixing properties of discrete-valued time series with exogenous covariates
Lionel Truquet
http://arxiv.org/abs/2112.03121v1
• [math.ST]Transform orders and stochastic monotonicity of statistical functionals
Tommaso Lando, Idir Arab, Paulo Eduardo Oliveira
http://arxiv.org/abs/2112.02383v1
• [nucl-th]Artificial Intelligence and Machine Learning in Nuclear Physics
Amber Boehnlein, Markus Diefenthaler, Cristiano Fanelli, Morten Hjorth-Jensen, Tanja Horn, Michelle P. Kuchera, Dean Lee, Witold Nazarewicz, Kostas Orginos, Peter Ostroumov, Long-Gang Pang, Alan Poon, Nobuo Sato, Malachi Schram, Alexander Scheinker, Michael S. Smith, Xin-Nian Wang, Veronique Ziegler
http://arxiv.org/abs/2112.02309v1
• [physics.flu-dyn]Generative Modeling of Turbulence
Claudia Drygala, Benjamin Winhart, Francesca di Mare, Hanno Gottschalk
http://arxiv.org/abs/2112.02548v1
• [q-bio.BM]Collective variable discovery in the age of machine learning: reality, hype and everything in between
Soumendranath Bhakat
http://arxiv.org/abs/2112.03202v1
• [quant-ph]Quantum Machine Learning for Radio Astronomy
Mohammad Kordzanganeh, Aydin Utting, Anna Scaife
http://arxiv.org/abs/2112.02655v1
• [stat.AP]A Robust, Differentially Private Randomized Experiment for Evaluating Online Educational Programs With Sensitive Student Data
Manjusha Kancharla, Hyunseung Kang
http://arxiv.org/abs/2112.02452v1
• [stat.AP]High return level estimates of daily ERA-5 precipitation in Europe estimated using regionalised extreme value distributions
Pauline Rivoire, Philomène Le Gall, Anne-Catherine Favre, Philippe Naveau, Olivia Martius
http://arxiv.org/abs/2112.02182v1
• [stat.AP]Utilizing Expert Opinion to inform Extrapolation of Survival Models
Philip Cooney, Arthur White
http://arxiv.org/abs/2112.02288v1
• [stat.CO]Bounding Wasserstein distance with couplings
Niloy Biswas, Lester Mackey
http://arxiv.org/abs/2112.03152v1
• [stat.CO]Generalized Transitional Markov Chain Monte Carlo Sampling Technique for Bayesian Inversion
Han Lu, Mohammad Khalil, Thomas Catanach, Jiefu Chen, Xuqing Wu, Xin Fu, Cosmin Safta, Yueqin Huang
http://arxiv.org/abs/2112.02180v1
• [stat.ME]A stableness of resistance model for nonresponse adjustment with callback data
Wang Miao, Xinyu Li, Baoluo Sun
http://arxiv.org/abs/2112.02822v1
• [stat.ME]Another look at synthetic-type control charts
Sven Knoth
http://arxiv.org/abs/2112.02641v1
• [stat.ME]Bayesian Estimation Approach for Linear Regression Models with Linear Inequality Restrictions
Solmaz Seifollahi, Kaniav Kamary, Hossein Bevrani
http://arxiv.org/abs/2112.02950v1
• [stat.ME]Bayesian Optimal Two-sample Tests in High-dimension
Kyoungjae Lee, Kisung You, Lizhen Lin
http://arxiv.org/abs/2112.02580v1
• [stat.ME]Cross-validation for change-point regression: pitfalls and solutions
Florian Pein, Rajen D. Shah
http://arxiv.org/abs/2112.03220v1
• [stat.ME]Deep Quantile and Deep Composite Model Regression
Tobias Fissler, Michael Merz, Mario V. Wüthrich
http://arxiv.org/abs/2112.03075v1
• [stat.ME]Interpretable discriminant analysis for functional data supported on random non-linear domains
Eardi Lila, Wenbo Zhang, Swati Rane
http://arxiv.org/abs/2112.02712v1
• [stat.ME]Joint modeling of longitudinal functional feature and time to event: an application to fecundity studies
Ling Ma, Abhisek Saha, Animik Biswas, Rajeshwari Sundaram
http://arxiv.org/abs/2112.02737v1
• [stat.ME]Laplace Power-expected-posterior priors for generalized linear models with applications to logistic regression
Anupreet Porwal, Abel Rodriguez
http://arxiv.org/abs/2112.02524v1
• [stat.ME]Mean and median bias reduction: A concise review and application to adjacent-categories logit models
Ioannis Kosmidis
http://arxiv.org/abs/2112.02621v1
• [stat.ME]Pearson’s Goodness-of-Fit Tests for Sparse Distributions
Shuhua Chang, Deli Li, Yongcheng Qi
http://arxiv.org/abs/2112.03231v1
• [stat.ME]Robust Sequential Online Prediction with Dynamic Ensemble of Multiple Models: A Concise Introduction
Bin Liu
http://arxiv.org/abs/2112.02374v1
• [stat.ME]Stable sums to infer high return levels of multivariate rainfall time series
Gloria Buriticá, Philippe Naveau
http://arxiv.org/abs/2112.02878v1
• [stat.ME]Statistical implications of relaxing the homogeneous mixing assumption in time series Susceptible-Infectious-Removed models
Luis D. J. Martinez Lomeli, Michelle N. Ngo, Jon Wakefield, Babak Shahbaba, Vladimir N. Minin
http://arxiv.org/abs/2112.03186v1
• [stat.ML]Data Fusion with Latent Map Gaussian Processes
Nicholas Oune, Jonathan Tammer Eweis-Labolle, Ramin Bostanabad
http://arxiv.org/abs/2112.02206v1
• [stat.ML]Deconfounding Temporal Autoencoder: Estimating Treatment Effects over Time Using Noisy Proxies
Milan Kuzmanovic, Tobias Hatt, Stefan Feuerriegel
http://arxiv.org/abs/2112.03013v1
• [stat.ML]Generalized Likelihood Ratio Test for Adversarially Robust Hypothesis Testing
Bhagyashree Puranik, Upamanyu Madhow, Ramtin Pedarsani
http://arxiv.org/abs/2112.02209v1
• [stat.ML]Incentive Compatible Pareto Alignment for Multi-Source Large Graphs
Jian Liang, Fangrui Lv, Di Liu, Zehui Dai, Xu Tian, Shuang Li, Fei Wang, Han Li
http://arxiv.org/abs/2112.02792v1
• [stat.ML]L2-norm Ensemble Regression with Ocean Feature Weights by Analyzed Images for Flood Inflow Forecast
Takato Yasuno, Masazumi Amakata, Junichiro Fujii, Masahiro Okano, Riku Ogata
http://arxiv.org/abs/2112.03108v1
• [stat.ML]Local Adaptivity of Gradient Boosting in Histogram Transform Ensemble Learning
Hanyuan Hang
http://arxiv.org/abs/2112.02589v1
• [stat.ML]Online false discovery rate control for anomaly detection in time series
Quentin Rebjock, Barış Kurt, Tim Januschowski, Laurent Callot
http://arxiv.org/abs/2112.03196v1
• [stat.ML]Two-step Lookahead Bayesian Optimization with Inequality Constraints
Yunxiang Zhang, Xiangyu Zhang, Peter I. Frazier
http://arxiv.org/abs/2112.02833v1