astro-ph.IM - 仪器仪表和天体物理学方法
    cond-mat.mtrl-sci - 材料科学
    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.DB - 数据库
    cs.DC - 分布式、并行与集群计算
    cs.DL - 数字图书馆
    cs.ET - 新兴技术
    cs.GR - 计算机图形学
    cs.HC - 人机接口
    cs.IR - 信息检索
    cs.IT - 信息论
    cs.LG - 自动学习
    cs.LO - 计算逻辑
    cs.MA - 多代理系统
    cs.MM - 多媒体
    cs.NE - 神经与进化计算
    cs.NI - 网络和互联网体系结构
    cs.RO - 机器人学
    cs.SD - 声音处理
    cs.SE - 软件工程
    cs.SI - 社交网络与信息网络
    econ.EM - 计量经济学
    eess.IV - 图像与视频处理
    eess.SP - 信号处理
    eess.SY - 系统和控制
    math.NA - 数值分析
    math.OC - 优化与控制
    math.ST - 统计理论
    physics.bio-ph - 生物物理
    physics.comp-ph - 计算物理学
    physics.geo-ph - 地球物理学
    q-bio.PE - 人口与发展
    quant-ph - 量子物理
    stat.AP - 应用统计
    stat.CO - 统计计算
    stat.ME - 统计方法论
    stat.ML - (统计)机器学习

    • [astro-ph.IM]AstronomicAL: An interactive dashboard for visualisation, integration and classification of data using Active Learning
    • [cond-mat.mtrl-sci]Neural network based order parameter for phase transitions and its applications in high-entropy alloys
    • [cs.AI]A Socially Aware Reinforcement Learning Agent
    ee6
    for The Single Track Road Problem
    • [cs.AI]An Objective Metric for Explainable AI: How and Why to Estimate the Degree of Explainability
    • [cs.AI]Efficient Multiple Constraint Acquisition
    • [cs.AI]Knowledge Graph-based Neurodegenerative Diseases and Diet Relationship Discovery
    • [cs.AI]Learning to Act and Observe in Partially Observable Domains
    • [cs.AI]Neuro-Symbolic AI: An Emerging Class of AI Workloads and their Characterization
    • [cs.AI]On syntactically similar logic programs and sequential decompositions
    • [cs.AI]r-GAT: Relational Graph Attention Network for Multi-Relational Graphs
    • [cs.CC]Nimber-Preserving Reductions and Homomorphic Sprague-Grundy Game Encodings
    • [cs.CL]”Let Your Characters Tell Their Story”: A Dataset for Character-Centric Narrative Understanding
    • [cs.CL]A Survey on Multi-modal Summarization
    • [cs.CL]AdaK-NER: An Adaptive Top-K Approach for Named Entity Recognition with Incomplete Annotations
    • [cs.CL]Adversarial Examples for Evaluating Math Word Problem Solvers
    • [cs.CL]Asking Questions Like Educational Experts: Automatically Generating Question-Answer Pairs on Real-World Examination Data
    • [cs.CL]Attention Weights in Transformer NMT Fail Aligning Words Between Sequences but Largely Explain Model Predictions
    • [cs.CL]Augmented Abstractive Summarization With Document-LevelSemantic Graph
    • [cs.CL]Beyond Isolated Utterances: Conversational Emotion Recognition
    • [cs.CL]Building and Evaluating Open-Domain Dialogue Corpora with Clarifying Questions
    • [cs.CL]CEM: Commonsense-aware Empathetic Response Genera
    1000
    tion
    • [cs.CL]COMBO: State-of-the-Art Morphosyntactic Analysis
    • [cs.CL]COSMic: A Coherence-Aware Generation Metric for Image Descriptions
    • [cs.CL]CPT: A Pre-Trained Unbalanced Transformerfor Both Chinese Language Understanding and Generation
    • [cs.CL]College Student Retention Risk Analysis From Educational Database using Multi-Task Multi-Modal Neural Fusion
    • [cs.CL]Contrastive Learning for Context-aware Neural Machine TranslationUsing Coreference Information
    • [cs.CL]Effectiveness of Pre-training for Few-shot Intent Classification
    • [cs.CL]Eliciting Knowledge from Language Models for Event Extraction
    • [cs.CL]Empirical Analysis of Training Strategies of Transformer-based Japanese Chit-chat Systems
    • [cs.CL]End-to-End Conversational Search for Online Shopping with Utterance Transfer
    • [cs.CL]End-to-End Entity Resolution and Question Answering Using Differentiable Knowledge Graphs
    • [cs.CL]Expanding End-to-End Question Answering on Differentiable Knowledge Graphs with Intersection
    • [cs.CL]Exploring Task Difficulty for Few-Shot Relation Extraction
    • [cs.CL]Exploring Underexplored Limitations of Cross-Domain Text-to-SQL Generalization
    • [cs.CL]Exploring a Unified Sequence-To-Sequence Transformer for Medical Product Safety Monitoring in Social Media
    • [cs.CL]Extracting Event Temporal Relations via Hyperbolic Geometry
    • [cs.CL]FBERT: A Neural Transformer for Identifying Offensive Content
    • [cs.CL]Few-Shot Cross-Lingual Stance Detection with Sentiment-Based Pre-Training
    • [cs.CL]Fine-grained Entity Typing via Label Reasoning
    • [cs.CL]Good-Enough Example Extrapolation
    • [cs.CL]Guiding Topic Flows in the Generative Chatbot by Enhancing the ConceptNet with the Conversation Corpora
    • [cs.CL]HYDRA — Hyper Dependency Representation Attentions
    • [cs.CL]Honey or Poison? Solving the Trigger Curse in Few-shot Event Detection via Causal Intervention
    • [cs.CL]How to Select One Among All? An Extensive Empirical Study Towards the Robustness of Knowledge Distillation in Natural Language Understanding
    • [cs.CL]HypoGen: Hyperbole Generation with Commonsense and Counterfactual Knowledge
    • [cs.CL]Implicit Premise Generation with Discourse-aware Commonsense Knowledge Models
    • [cs.CL]Joint prediction of truecasing and punctuation for conversational speech in low-resource scenarios
    • [cs.CL]Keyword Extraction for Improved Document Retrieval in Conversational Search
    • [cs.CL]Knowledge Enhanced Fine-Tuning for Better Handling Unseen Entities in Dialogue Generation
    • [cs.CL]Latent Hatred: A Benchmark for Understanding Implicit Hate Speech
    • [cs.CL]Learning from Language Description: Low-shot Named Entity Recognition via Decomposed Framework
    • [cs.CL]Levenshtein Training for Word-level Quality Estimation
    • [cs.CL]Leveraging Table Content for Zero-shot Text-to-SQL with Meta-Learning
    • [cs.CL]Looking for Confirmations: An Effective and Human-Like Visual Dialogue Strategy
    • [cs.CL]Mitigating Language-Dependent Ethnic Bias in BERT
    • [cs.CL]Modeling Concentrated Cross-Attention for Neural Machine Translation with Gaussian Mixture Model
    • [cs.CL]Modular Self-Supervision for Document-Level Relation Extraction
    • [cs.CL]MuVER: Improving First-Stage Entity Retrieval with Multi-View Entity Representations
    • [cs.CL]Multilingual Translation via Grafting Pre-trained Language Models
    • [cs.CL]NeuTral Rewriter: A Rule-Based and Neural Approach to Automatic Rewriting into Gender-Neutral Alternatives
    • [cs.CL]Not All Models Localize Linguistic Knowledge in the Same Place: A Layer-wise Probing on BERToids’ Representations
    • [cs.CL]Not All Negatives are Equal: Label-Aware Contrastive Loss for Fine-grained Text Classification
    • [cs.CL]On Language Models for Creoles
    • [cs.CL]Pack Together: Entity and Relation Extraction with Levitated Marker
    • [cs.CL]Pairwise Supervised Contrastive Learning of Sentence Representations
    • [cs.CL]Perturbation CheckLists for Evaluating NLG Evaluation Metrics
    • [cs.CL]Prior Omission of Dissimilar Source Domain(s) for Cost-Effective Few-Shot Learning
    • [cs.CL]Qualitative and Quantitative Analysis of Diversity in Cross-document Coreference Resolution Datasets
    • [cs.CL]Question Answering over Electronic Devices: A New Benchmark Dataset and a Multi-Task Learning based QA Framework
    • [cs.CL]Raise a Child in Large Language Model: Towards Effective and Generalizable Fine-tuning
    • [cs.CL]Randomized Substitution and Vote for Textual Adversarial Example Detection
    • [cs.CL]Refocusing on Relevance: Personalization in NLG
    • [cs.CL]RockNER: A Simple Method to Create Adversarial Examples for Evaluating the Robustness of Named Entity Recognition Models
    • [cs.CL]SCORE-IT: A Machine Learning-based Tool for Automatic Standardization of EEG Reports
    • [cs.CL]SHAPE: Shifted Absolute Position Embedding for Transformers
    • [cs.CL]SPARQLing Database Queries from Intermediate Question Decompositions
    • [cs.CL]Semantic Categorization of Social Knowledge for Commonsense Question Answering
    • [cs.CL]Show Me How To Revise: Improving Lexically Constrained Sentence Generation with XLNet
    • [cs.CL]SituatedQA: Incorporating Extra-Linguistic Contexts into QA
    • [cs.CL]Speaker-Oriented Latent Structures for Dialogue-Based Relation Extraction
    • [cs.CL]StreamHover: Livestream Transcript Summarization and Annotation
    • [cs.CL]Stylistic Retrieval-based Dialogue System with Unparallel Training Data
    • [cs.CL]TEASEL: A Transformer-Based Speech-Prefixed Language Model
    • [cs.CL]Tamizhi-Net OCR: Creating A Quality Large Scale Tamil-Sinhala-English Parallel Corpus Using Deep Learning Based Printed Character Recognition (PCR)
    • [cs.CL]Text is NOT Enough: Integrating Visual Impressions intoOpen-domain Dialogue Generation
    • [cs.CL]The Grammar-Learning Trajectories of Neural Language Models
    • [cs.CL]The Impact of Positional Encodings on Multilingual Compression
    • [cs.CL]To Protect and To Serve? Analyzing Entity-Centric Framing of Police Violence
    • [cs.CL]TopicRefine: Joint Topic Prediction and Dialogue Response Generation for Multi-turn End-to-End Dialogue System
    • [cs.CL]Total Recall: a Customized Continual Learning Method for Neural Semantic Parsers
    • [cs.CL]Traffic Event Detection as a Slot Filling Problem
    • [cs.CL]Uncovering Main Causalities for Long-tailed Information Extraction
    • [cs.CL]UniMS: A Unified Framework for Multimodal Summarization with Knowledge Distillation
    • [cs.CL]Universal Simultaneous Machine Translation with Mixture-of-Experts Wait-k Policy
    • [cs.CL]Unsupervised Domain Adaptation Schemes for Building ASR in Low-resource Languages
    • [cs.CL]Virtual Data Augmentation: A Robust and General Framework for Fine-tuning Pre-trained Models
    • [cs.CL]What’s in a Name? Answer Equivalence For Open-Domain Question Answering
    • [cs.CL]When is Wall a Pared and when a Muro? — Extracting Rules Governing Lexical Selection
    • [cs.CL]Wine is Not v i n. — On the Compatibility of Tokenizations Across Languages
    • [cs.CL]XCoref: Cross-document Coreference Resolution in the Wild
    • [cs.CL]xGQA: Cross-Lingual Visual Question Answering
    • [cs.CR]A Digital Forensics Investigation of a Smart Scale IoT Ecosystem
    • [cs.CR]A secondary immune response based on co-evolutive populations of agents for anomaly detection and characterization
    • [cs.CR]Check Your Other Door! Establishing Backdoor Attacks in the Frequency Domain
    • [cs.CR]DRo: A data-scarce mechanism to revolutionize the performance of Deep Learning based Security Systems
    • [cs.CR]Source Inference Attacks in Federated Learning
    • [cs.CV]A Decidability-Based Loss Function
    • [cs.CV]A Self-Supervised Deep Framework for Reference Bony Shape Estimation in Orthognathic Surgical Planning
    • [cs.CV]A semi-supervised self-training method to develop assistive intelligence for segmenting multiclass bridge elements from inspection videos
    • [cs.CV]ADNet: Leveraging Error-Bias Towards Normal Direction in Face Alignment
    • [cs.CV]Adversarial Bone Length Attack on Action Recognition
    • [cs.CV]Adversarially Trained Object Detector for Unsupervised Domain Adaptation
    • [cs.CV]An Unsupervised Deep-Learning Method for Fingerprint Classification: the CCAE Network and the Hybrid Clustering Strategy
    • [cs.CV]Are Gender-Neutral Queries Really Gender-Neutral? Mitigating Gender Bias in Image Search
    • [cs.CV]ArtiBoost: Boosting Articulated 3D Hand-Object Pose Estimation via Online Exploration and Synthesis
    • [cs.CV]BGT-Net: Bidirectional GRU Transformer Network for Scene Graph Generation
    • [cs.CV]Border-SegGCN: Improving Semantic Segmentation by Refining the Border Outline using Graph Convolutional Network
    • [cs.CV]Bornon: Bengali Image Captioning with Transformer-based Deep learning approach
    • [cs.CV]CANS: Communication Limited Camera Network Self-Configuration for Intelligent Industrial Surveillance
    • [cs.CV]CDTrans: Cross-domain Transformer for Unsupervised Domain Adaptation
    • [cs.CV]Can Language Models Encode Perceptual Structure Without Grounding? A Case Study in Color
    • [cs.CV]CarNet: A Lightweight and Efficient Encoder-Decoder Architecture for High-quality Road Crack Detection
    • [cs.CV]Challenges and Solutions in DeepFakes
    • [cs.CV]ChangeChip: A Reference-Based Unsupervised Change Detection for PCB Defect Detection
    • [cs.CV]Class-Distribution-Aware Calibration for Long-Tailed Visual Recognition
    • [cs.CV]Conditional Generation of Synthetic Geospatial Images from Pixel-level and Feature-level Inputs
    • [cs.CV]Conditional MoCoGAN for Zero-Shot Video Generation
    • [cs.CV]Constructing Phrase-level Semantic Labels to Form Multi-Grained Supervision for Image-Text Retrieval
    • [cs.CV]Contrastive Quantization with Code Memory for Unsupervised Image Retrieval
    • [cs.CV]Convolutional Hough Matching Networks for Robust and Efficient Visual Correspondence
    • [cs.CV]Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR-based Perception
    • [cs.CV]DAFNe: A One-Stage Anchor-Free Deep Model for Oriented Object Detection
    • [cs.CV]DSNet: A Dual-Stream Framework for Weakly-Supervised Gigapixel Pathology Image Analysis
    • [cs.CV]DSSL: Deep Surroundings-person Separation Learning for Text-based Person Retrieval
    • [cs.CV]Deep Joint Source-Channel Coding for Multi-Task Network
    • [cs.CV]DeepPyram: Enabling Pyramid View and Deformable Pyramid Reception for Semantic Segmentation in Cataract Surgery Videos
    • [cs.CV]Discovering the Unknown Knowns: Turning Implicit Knowledge in the Dataset into Explicit Training Examples for Visual Question Answering
    • [cs.CV]Efficient Tensor Completion via Element-wise Weighted Low-rank Tensor Train with Overlapping Ket Augmentation
    • [cs.CV]Evaluating Computer Vision Techniques for Urban Mobility on Large-Scale, Unconstrained Roads
    • [cs.CV]Evolving Architectures with Gradient Misalignment toward Low Adversarial Transferability
    • [cs.CV]Explain Me the Painting: Multi-Topic Knowledgeable Art Description Generation
    • [cs.CV]FaceGuard: Proactive Deepfake Detection
    • [cs.CV]Facial Anatomical Landmark Detection using Regularized Transfer Learning with Application to Fetal Alcohol Syndrome Recognition
    • [cs.CV]Fine-Grained Few Shot Learning with Foreground Object Transformation
    • [cs.CV]Generating Datasets of 3D Garments with Sewing Patterns
    • [cs.CV]Global-Local Dynamic Feature Alignment Network for Person Re-Identification
    • [cs.CV]Graph-Based 3D Multi-Person Pose Estimation Using Multi-View Images
    • [cs.CV]HCDG: A Hierarchical Consistency Framework for Domain Generalization on Medical Image Segmentation
    • [cs.CV]Image Shape Manipulation from a Single Augmented Training Sample
    • [cs.CV]Improving Robustness of Adversarial Attacks Using an Affine-Invariant Gradient Estimator
    • [cs.CV]Instance-Conditioned GAN
    • [cs.CV]LEA-Net: Layer-wise External Attention Network for Efficient Color Anomaly Detection
    • [cs.CV]Learning Indoor Inverse Rendering with 3D Spatially-Varying Lighting
    • [cs.CV]Learning Statistical Representation with Joint Deep Embedded Clustering
    • [cs.CV]Learning to Ground Visual Objects for Visual Dialog
    • [cs.CV]Learning to Predict Diverse Human Motions from a Single Image via Mixture Density Networks
    • [cs.CV]Leveraging Clinical Characteristics for Improved Deep Learning-Based Kidney Tumor Segmentation on CT
    • [cs.CV]Low-Shot Validation: Active Importance Sampling for Estimating Classifier Performance on Rare Categories
    • [cs.CV]MLFW: A Database for Face Recognition on Masked Faces
    • [cs.CV]MSGDD-cGAN: Multi-Scale Gradients Dual Discriminator Conditional Generative Adversarial Network
    • [cs.CV]Meta Navigator: Search for a Good Adaptation Policy for Few-shot Learning
    • [cs.CV]MovieCuts: A New Dataset and Benchmark for Cut Type Recognition
    • [cs.CV]Multiresolution Deep Implicit Functions for 3D Shape Representation
    • [cs.CV]Mutual Supervision for Dense Object Detection
    • [cs.CV]Nonlocal Patch-Based Fully-Connected Tensor Network Decomposition for Remote Sensing Image Inpainting
    • [cs.CV]On Pursuit of Designing Multi-modal Transformer for Video Grounding
    • [cs.CV]On the Sins of Image Synthesis Loss for Self-supervised Depth Estimation
    • [cs.CV]Online Unsupervised Learning of Visual Representations and Categories
    • [cs.CV]PAT: Pseudo-Adversarial Training For Detecting Adversarial Videos
    • [cs.CV]PQ-Transformer: Jointly Parsing 3D Objects and Layouts from Point Clouds
    • [cs.CV]Partially-supervised novel object captioning leveraging context from paired data
    • [cs.CV]Pose with Style: Detail-Preserving Pose-Guided Image Synthesis with Conditional StyleGAN
    • [cs.CV]Preliminary Wildfire Detection Using State-of-the-art PTZ (Pan, Tilt, Zoom) Camera Technology and Convolutional Neural Networks
    • [cs.CV]Prioritized Subnet Sampling for Resource-Adaptive Supernet Training
    • [cs.CV]Pyramid Hybrid Pooling Quantization for Efficient Fine-Grained Image Retrieval
    • [cs.CV]RobustART: Benchmarking Robustness on Architecture Design and Training Techniques
    • [cs.CV]Shape-Biased Domain Generalization via Shock Graph Embeddings
    • [cs.CV]Single-stage Keypoint-based Category-level Object Pose Estimation from an RGB Image
    • [cs.CV]Single-stream CNN with Learnable Architecture for Multi-source Remote Sensing Data
    • [cs.CV]Sparse MLP for Image Recognition: Is Self-Attention Really Necessary?
    • [cs.CV]Spatial and Semantic Consistency Regularizations for Pedestrian Attribute Recognition
    • [cs.CV]Spatial-Separated Curve Rendering Network for Efficient and High-Resolution Image Harmonization
    • [cs.CV]SphereFace Revived: Unifying Hyperspherical Face Recognition
    • [cs.CV]Task Guided Compositional Representation Learning for ZDA
    • [cs.CV]The State of the Art when using GPUs in Devising Image Generation Methods Using Deep Learning
    • [cs.CV]U-Net Convolutional Network for Recognition of Vessels and Materials in Chemistry Lab
    • [cs.CV]UMPNet: Universal Manipulation Policy Network for Articulated Objects
    • [cs.CV]Unsupervised Domain Adaptive Learning via Synthetic Data for Person Re-identification
    • [cs.CV]Unsupervised domain adaptation for cross-modality liver segmentation via joint adversarial learning and self-learning
    • [cs.CV]Variational Disentanglement for Domain Generalization
    • [cs.CV]Vision-based system identification and 3D keypoint discovery using dynamics constraints
    • [cs.CV]Weakly Supervised Person Search with Region Siamese Networks
    • [cs.CV]What happens in Face during a facial expression? Using data mining techniques to analyze facial expression motion vectors
    • [cs.CY]Cyber-Security in the Emerging World of Smart Everything
    • [cs.CY]FaiREO: User Group Fairness for Equality of Opportunity in Course Recommendation
    • [cs.CY]Measurement as governance in and for responsible AI
    • [cs.DB]Augmenting Decision Making via Interactive What-If Analysis
    • [cs.DB]Discovering Technology Gaps using the IntSight Knowledge Navigator
    • [cs.DB]Making Table Understanding Work in Practice
    • [cs.DC]A readahead prefetcher for GPU file system layer
    • [cs.DC]Accelerated Distributed Laplacian Solvers via Shortcuts
    • [cs.DC]Accelerating GPU-Based Out-of-Core Stencil Computation with On-the-Fly Compression
    • [cs.DC]Benchmarking Processor Performance by Multi-Threaded Machine Learning Algorithms
    • [cs.DC]Distributed recoloring of interval and chordal graphs
    • [cs.DC]H2Opus: A distributed-memory multi-GPU software package for non-local operators
    • [cs.DC]Hybrid Workload Scheduling on HPC Systems
    • [cs.DC]IFogSim2: An Extended iFogSim Simulator for Mobility, Clustering, and Microservice Management in Edge and Fog Computing Environments
    • [cs.DC]Implementing Parallel Quick Sort Algorithm on OTIS Hyper Hexa-Cell (OHHC) Interconnection Network
    • [cs.DC]MODC: Resilience for disaggregated memory architectures using task-based programming
    • [cs.DL]Viewing citation trend of Indian physics and astronomy research papers since 2005 through the lens of some new indicators
    • [cs.ET]Single-Read Reconstruction for DNA Data Storage Using Transformers
    • [cs.GR]Reinforcement Learning for Load-balanced Parallel Particle Tracing
    • [cs.HC]AdViCE: Aggregated Visual Counterfactual Explanations for Machine Learning Model Validation
    • [cs.HC]Making Online Communities ‘Better’: A Taxonomy of Community Values on Reddit
    • [cs.HC]Perceptions of Fairness and Trustworthiness Based on Explanations in Human vs. Automated Decision-Making
    • [cs.HC]The Flaws of Policies Requiring Human Oversight of Government Algorithms
    • [cs.IR]ARGO: Modeling Heterogeneity in E-commerce Recommendation
    • [cs.IR]An Adaptive Boosting Technique to Mitigate Popularity Bias in Recommender System
    • [cs.IR]An Improved Hybrid Recommender System: Integrating Document Context-Based and Behavior-Based Methods
    • [cs.IR]Analysing Mixed Initiatives and Search Strategies during Conversational Search
    • [cs.IR]BeautifAI — A Personalised Occasion-oriented Makeup Recommendation System
    • [cs.IR]CauseRec: Counterfactual User Sequence Synthesis for Sequential Recommendation
    • [cs.IR]Correcting the User Feedback-Loop Bias for Recommendation Systems
    • [cs.IR]Cross-Market Product Recommendation
    • [cs.IR]Efficient-FedRec: Efficient Federated Learning Fr
    fca
    amework for Privacy-Preserving News Recommendation
    • [cs.IR]Existence conditions for hidden feedback loops in online recommender systems
    • [cs.IR]Graph-based Retrieval for Claim Verification over Cross-Document Evidence
    • [cs.IR]MURAL: Multimodal, Multitask Retrieval Across Languages
    • [cs.IR]Uni-FedRec: A Unified Privacy-Preserving News Recommendation Framework for Model Training and Online Serving
    • [cs.IT]A Framework for Developing Algorithms for Estimating Propagation Parameters from Measurements
    • [cs.IT]Covert queueing problem with a Markovian statistic
    • [cs.IT]Fundamental limits of over-the-air optimization: Are analog schemes optimal?
    • [cs.IT]Hermite Expansion Model and LMMSE Analysis for Low-Resolution Quantized MIMO Detection
    • [cs.IT]How is Time Frequency Space Modulation Related to Short Time Fourier Signaling?
    • [cs.IT]Learning-Based UE Classification in Millimeter-Wave Cellular Systems With Mobility
    • [cs.IT]Minimizing Quantum Renyi Divergences via Mirror Descent with Polyak Step Size
    • [cs.IT]On the Age of Information of a Queuing System with Heterogeneous Servers
    • [cs.IT]On the Fundamental Limits of Matrix Completion: Leveraging Hierarchical Similarity Graphs
    • [cs.IT]On the Intercept Probability and Secure Outage Analysis of Mixed (今日学术视野(2021.9.15) - 图1-今日学术视野(2021.9.15) - 图2-今日学术视野(2021.9.15) - 图3)-shadowed and Málaga Turbulent Model
    • [cs.IT]On the Optimal Load-Memory Tradeoff of Coded Caching for Location-Based Content
    • [cs.IT]RIS and Cell-Free Massive MIMO: A Marriage For Harsh Propagation Environments
    • [cs.IT]RWP+: A New Random Waypoint Model for High-Speed Mobility
    • [cs.IT]Relaxed Zero-Forcing Beamformer under Temporally-Correlated Interference
    • [cs.IT]Sequential Detection and Estimation of Multipath Channel Parameters Using Belief Propagation
    • [cs.IT]Successive Decode-and-Forward Relaying with Reconfigurable Intelligent Surfaces
    • [cs.IT]URLLC and eMBB Coexistence in MIMO Non-orthogonal Multiple Access Systems
    • [cs.IT]Whittle Index Based Scheduling Policy for Minimizing the Cost of Age of Information
    • [cs.LG]2-in-1 Accelerator: Enabling Random Precision Switch for Winning Both Adversarial Robustness and Efficiency
    • [cs.LG]A Novel Intrinsic Measure of Data Separability
    • [cs.LG]A deep learning guided memetic framework for graph coloring problems
    • [cs.LG]AMI-FML: A Privacy-Preserving Federated Machine Learning Framework for AMI
    • [cs.LG]Accurate Prediction Using Triangular Type-2 Fuzzy Linear Regression
    • [cs.LG]Adaptive network reliability analysis: Methodology and applications to power grid
    • [cs.LG]Adversarial Representation Learning With Closed-Form Solvers
    • [cs.LG]An Empirical Comparison of Off-policy Prediction Learning Algorithms in the Four Rooms Environment
    • [cs.LG]An End-to-end Point of Interest (POI) Conflation Framework
    • [cs.LG]Application of Machine Learning in Early Recommendation of Cardiac Resynchronization Therapy
    • [cs.LG]Applications of Recurrent Neural Network for Biometric Authentication & Anomaly Detection
    • [cs.LG]CoG: a Two-View Co-training Framework for Defending Adversarial Attacks on Graph
    • [cs.LG]Compute and Energy Consumption Trends in Deep Learning Inference
    • [cs.LG]Concave Utility Reinforcement Learning with Zero-Constraint Violations
    • [cs.LG]Concept Drift Detection in Federated Networked Systems
    • [cs.LG]Cost-Effective Federated Learning in Mobile Edge Networks
    • [cs.LG]Critical Learning Periods in Federated Learning
    • [cs.LG]DHA: End-to-End Joint Optimization of Data Augmentation Policy, Hyper-parameter and Architecture
    • [cs.LG]Data Analytics for Smart cities: Challenges and Promises
    • [cs.LG]Detecting Handwritten Mathematical Terms with Sensor Based Data
    • [cs.LG]Direct Advantage Estimation
    • [cs.LG]DisCERN:Discovering Counterfactual Explanations using Relevance Features from Neighbourhoods
    • [cs.LG]Doubly Adaptive Scaled Algorithm for Machine Learning Using Second-Order Information
    • [cs.LG]DynSTGAT: Dynamic Spatial-Temporal Graph Attention Network for Traffic Signal Control
    • [cs.LG]EMVLight: A Decentralized Reinforcement Learning Framework for EfficientPassage of Emergency Vehicles
    • [cs.LG]Explaining Deep Learning Representations by Tracing the Training Process
    • [cs.LG]Fast Variational AutoEncoder with Inverted Multi-Index for Collaborative Filtering
    • [cs.LG]Feature Importance in Gradient Boosting Trees with Cross-Validation Feature Selection
    • [cs.LG]FedFair: Training Fair Models In Cross-Silo Federated Learning
    • [cs.LG]FedTriNet: A Pseudo Labeling Method with Three Players for Federated Semi-supervised Learning
    • [cs.LG]Federated Ensemble Model-based Reinforcement Learning
    • [cs.LG]Formalizing and Estimating Distribution Inference Risks
    • [cs.LG]Global and Local Interpretation of black-box Machine Learning models to determine prognostic factors from early COVID-19 data
    • [cs.LG]GradTS: A Gradient-Based Automatic Auxiliary Task Selection Method Based on Transformer Networks
    • [cs.LG]HyAR: Addressing Discrete-Continuous Action Reinforcement Learning via Hybrid Action Representation
    • [cs.LG]HyP-ABC: A Novel Automated Hyper-Parameter Tuning Algorithm Using Evolutionary Optimization
    • [cs.LG]Improved Algorithms for Misspecified Linear Markov Decision Processes
    • [cs.LG]Is Heterophily A Real Nightmare For Graph Neural Networks To Do Node Classification?
    • [cs.LG]Learning To Describe Player Form in The MLB
    • [cs.LG]Machine learning reveals how personalized climate communication can both succeed and backfire
    • [cs.LG]Mixing between the Cross Entropy and the Expectation Loss Terms
    • [cs.LG]No True State-of-the-Art? OOD Detection Methods are Inconsistent across Datasets
    • [cs.LG]Omnipredictors
    • [cs.LG]On Solving a Stochastic Shortest-Path Markov Decision Process as Probabilistic Inference
    • [cs.LG]On Tilted Losses in Machine Learning: Theory and Applications
    • [cs.LG]On the Choice of Fairness: Finding Representative Fairness Metrics for a Given Context
    • [cs.LG]On the Compression of Neural Networks Using 今日学术视野(2021.9.15) - 图4-Norm Regularization and Weight Pruning
    • [cs.LG]On the Efficiency of Subclass Knowledge Distillation in Classification Tasks
    • [cs.LG]On the Impact of Spurious Correlation for Out-of-distribution Detection
    • [cs.LG]On the Initial Behavior Monitoring Issues in Federated Learning
    • [cs.LG]Online Learning of Optimally Diverse Rankings
    • [cs.LG]Physics-based Deep Learning
    • [cs.LG]Process Discovery Using Graph Neural Networks
    • [cs.LG]RADARS: Memory Efficient Reinforcement Learning Aided Differentiable Neural Architecture Search
    • [cs.LG]Region Invariant Normalizing Flows for Mobility Transfer
    • [cs.LG]Relaxed Marginal Consistency for Differentially Private Query Answering
    • [cs.LG]Remaining Useful Life Estimation of Hard Disk Drives using Bidirectional LSTM Networks
    • [cs.LG]Robust Federated Best-Arm Identification in Multi-Armed Bandits
    • [cs.LG]Robust Stability of Neural-Network Controlled Nonlinear Systems with Parametric Variability
    • [cs.LG]SignGuard: Byzantine-robust Federated Learning through Collaborative Malicious Gradient Filtering
    • [cs.LG]Space Meets Time: Local Spacetime Neural Network For Traffic Flow Forecasting
    • [cs.LG]Stochastic Adversarial Koopman Model for Dynamical Systems
    • [cs.LG]Structure-preserving Sparse Identification of Nonlinear Dynamics for Data-driven Modeling
    • [cs.LG]The Logic Traps in Evaluating Post-hoc Interpretations
    • [cs.LG]The mathematics of adversarial attacks in AI — Why deep learning is unstable despite the existence of stable neural networks
    • [cs.LG]Toward Communication Efficient Adaptive Gradient Method
    • [cs.LG]Towards a Rigorous Evaluation of Time-series Anomaly Detection
    • [cs.LG]Uniform Generalization Bounds for Overparameterized Neural Networks
    • [cs.LG]Utility Fairness for the Differentially Private Federated Learning
    • [cs.LG]Zeroth-order non-convex learning via hierarchical dual averaging
    • [cs.LO]Categorical Semantics of Reversible Pattern-Matching
    • [cs.MA]Learning Robot Swarm Tactics over Complex Adversarial Environments
    • [cs.MM]MOMENTA: A Multimodal Framework for Detecting Harmful Memes and Their Targets
    • [cs.NE]A Scalable Continuous Unbounded Optimisation Benchmark Suite from Neural Network Regression
    • [cs.NE]Batched Data-Driven Evolutionary Multi-Objective Optimization Based on Manifold Interpolation
    • [cs.NE]BioLCNet: Reward-modulated Locally Connected Spiking Neural Networks
    • [cs.NE]Illuminating Diverse Neural Cellular Automata for Level Generation
    • [cs.NE]MOEA/D with Adaptative Number of Weight Vectors
    • [cs.NE]Parameterless Gene-pool Optimal Mixing Evolutionary Algorithms
    • [cs.NE]Runtime Analysis of Single- and Multi-Objective Evolutionary Algorithms for Chance Constrained Optimization Problems with Normally Distributed Random Variables
    • [cs.NI]Computation Rate Maximum for Mobile Terminals in UAV-assisted Wireless Powered MEC Networks with Fairness Constraint
    • [cs.NI]No Size Fits All: Automated Radio Configuration for LPWANs
    • [cs.RO]A Q-learning Control Method for a Soft Robotic Arm Utilizing Training Data from a Rough Simulator
    • [cs.RO]A Right Invariant Extended Kalman Filter for Object based SLAM
    • [cs.RO]A study and design of localization system for mobile robot based on ROS
    • [cs.RO]ART-SLAM: Accurate Real-Time 6DoF LiDAR SLAM
    • [cs.RO]Adversarial Imitation Learning via Random Search in Lane Change Decision-Making
    • [cs.RO]AutoSoC: Automating Algorithm-SOC Co-design for Aerial Robots
    • [cs.RO]Autonomous Head-to-Head Racing in the Indy Autonomous Challenge Simulation Race
    • [cs.RO]Autonomous Underwater Vehicle-Manipulator Systems Path Planning with RRTAUVMS Algorithm
    • [cs.RO]Balancing the Budget: Feature Selection and Tracking for Multi-Camera Visual-Inertial Odometry
    • [cs.RO]Bundled Gradients through Contact via Randomized Smoothing
    • [cs.RO]CoHaptics: Development of Human-Robot Collaborative System with Forearm-worn Haptic Display to Increase Safety in Future Factories
    • [cs.RO]Constraint-Driven Optimal Control of Multi-Agent Systems: A Highway Platooning Case Study
    • [cs.RO]Creation and Verification of Digital Twins in Cloud Production
    • [cs.RO]Cross Domain Robot Imitation with Invariant Representation
    • [cs.RO]Deformation-Aware Data-Driven Grasp Synthesis
    • [cs.RO]Direct Random Search for Fine Tuning of Deep Reinforcement Learning Policies
    • [cs.RO]Encoding Distributional Soft Actor-Critic for Autonomous Driving in Multi-lane Scenarios
    • [cs.RO]Extended Capture Point and Optimization-based Control for Quadrupedal Robot Walking on Dynamic Rigid Surfaces
    • [cs.RO]Learning Selective Communication for Multi-Agent Path Finding
    • [cs.RO]Learning and Leveraging Environmental Features to Improve Robot Awareness
    • [cs.RO]Learning to Navigate Sidewalks in Outdoor Environments
    • [cs.RO]Learning to Swarm with Knowledge-Based Neural Ordinary Differential Equations
    • [cs.RO]LiDAR Odometry Methodologies for Autonomous Driving: A Survey
    • [cs.RO]Natural Multicontact Walking for Robotic Assistive Devices via Musculoskeletal Models and Hybrid Zero Dynamics
    • [cs.RO]On pareto-optimal fronts for diminishment of lane-changing impact in mixed traffic
    • [cs.RO]Prioritized Planning for Cooperative Range-Only Localization in Multi-Robot Networks
    • [cs.RO]RVMDE: Radar Validated Monocular Depth Estimation for Robotics
    • [cs.RO]Robot Navigation in Irregular Environments with Local Elevation Estimation using Deep Reinforcement Learning
    • [cs.RO]SMARRT: Self-Repairing Motion-Reactive Anytime RRT for Dynamic Environments
    • [cs.RO]Topology-Informed Model Predictive Control for Anticipatory Collision Avoidance on a Ballbot
    • [cs.RO]Towards Robust Monocular Visual Odometry for Flying Robots on Planetary Missions
    • [cs.RO]Towards Stochastic Fault-tolerant Control using Precision Learning and Active Inference
    • [cs.RO]Two-timescale Mechanism-and-Data-Driven Control for Aggressive Driving of Autonomous Cars
    • [cs.RO]Unified Kinematic and Dynamical Modeling of a Soft Robotic Arm by a Piecewise Universal Joint Model
    • [cs.RO]Vision-Aided Autonomous Navigation of Bipedal Robots in Height-Constrained Environments
    • [cs.SD]Zero-Shot Text-to-Speech for Text-Based Insertion in Audio Narration
    • [cs.SE]Neural Network Guided Evolutionary Fuzzing for Finding Traffic Violations of Autonomous Vehicles
    • [cs.SI]How social network influences human behavior: An integrated latent space approach
    • [cs.SI]Online Influence Maximization with Node-level Feedback Using Standard Offline Oracles
    • [cs.SI]QUINT: Node embedding using network hashing
    • [cs.SI]SDG Target Interactions: The Philippine Analysis of Indivisible and Cancelling Targets
    • [cs.SI]Who shapes crisis communication on Twitter? An analysis of influential German-language accounts during the COVID-19 pandemic
    • [econ.EM]Estimating a new panel MSK dataset for comparative analyses of national absorptive capacity systems, economic growth, and development in low and middle income economies
    • [econ.EM]Nonparametric Estimation of Truncated Conditional Expectation Functions
    • [eess.IV]A Complex Constrained Total Variation Image Denoising Algorithm with Application to Phase Retrieval
    • [eess.IV]A Joint Graph and Image Convolution Network for Automatic Brain Tumor Segmentation
    • [eess.IV]Blood vessel segmentation in en-face OCTA images: a frequency based method
    • [eess.IV]CAN3D: Fast 3D Medical Image Segmentation via Compact Context Aggregation
    • [eess.IV]Co-Correcting: Noise-tolerant Medical Image Classification via mutual Label Correction
    • [eess.IV]Differential Diagnosis of Frontotemporal Dementia and Alzheimer’s Disease using Generative Adversarial Network
    • [eess.IV]Domain and Content Adaptive Convolution for Domain Generalization in Medical Image Segmentation
    • [eess.IV]Dual-view Snapshot Compressive Imaging via Optical Flow Aided Recurrent Neural Network
    • [eess.IV]Efficient Re-parameterization Residual Attention Network For Nonhomogeneous Image Dehazing
    • [eess.IV]Follow the Curve: Robotic-Ultrasound Navigation with Learning Based Localization of Spinous Processes for Scoliosis Assessment
    • [eess.IV]IceNet for Interactive Contrast Enhancement
    • [eess.IV]Low-Light Image Enhancement with Normalizing Flow
    • [eess.IV]Self supervised learning improves dMMR/MSI detection from histology slides across multiple cancers
    • [eess.IV]Sickle Cell Disease Severity Prediction from Percoll Gradient Images using Graph Convolutional Networks
    • [eess.IV]Team NeuroPoly: Description of the Pipelines for the MICCAI 2021 MS New Lesions Segmentation Challenge
    • [eess.IV]WeakSTIL: Weak whole-slide image level stromal tumor infiltrating lymphocyte scores are all you need
    • [eess.SP]Graph Attention Network Based Single-Pixel Compressive Direction of Arrival Estimation
    • [eess.SP]Link Scheduling using Graph Neural Networks
    • [eess.SP]Multi-User Scheduling in Hybrid Millimeter Wave Massive MIMO Systems
    • [eess.SP]Real-Time EMG Signal Classification via Recurrent Neural Networks
    • [eess.SY]Data Generation Method for Learning a Low-dimensional Safe Region in Safe Reinforcement Learning
    • [eess.SY]Interactive multi-modal motion planning with Branch Model Predictive Control
    • [math.NA]Construction of Grid Operators for Multilevel Solvers: a Neural Network Approach
    • [math.NA]Quasi-Monte Carlo-Based Conditional Malliavin Method for Continuous-Time Asian Option Greeks
    • [math.OC]Barzilai and Borwein conjugate gradient method equipped with a non-monotone line search technique and its application on non-negative matrix factorization
    • [math.OC]Gradients and Subgradients of Buffered Failure Probability
    • [math.ST]On Some Problems of Confidence Region Construction
    • [math.ST]On the consistency and asymptotic normality of multiparameter persistent Betti numbers
    • [math.ST]Restricted Hidden Cardinality Constraints in Causal Models
    • [math.ST]The Double-Constant Matrix, Centering Matrix and Equicorrelation Matrix: Theory and Applications
    • [physics.bio-ph]Bayesian inference of PolII dynamics over the exclusion process
    • [physics.bio-ph]Prediction of gene expression time series and structural analysis of gene regulatory networks using recurrent neural networks
    • [physics.comp-ph]Scaling and Acceleration of Three-dimensional Structure Determination for Single-Particle Imaging Experiments with SpiniFEL
    • [physics.geo-ph]MLReal: Bridging the gap between training on synthetic data and real data applications in machine learning
    • [q-bio.PE]Modelling the Utility of Group Testing for Public Health Surveillance
    • [quant-ph]Efficient Noise Mitigation Technique for Quantum Computing
    • [quant-ph]Towards a variational Jordan-Lee-Preskill quantum algorithm
    • [stat.AP]Bayesian Estimation of the ETAS Model for Earthquake Occurrences
    • [stat.AP]Decompositions for Sum-of-Power Statistics and the Sample Central Moments
    • [stat.AP]Microbiome subcommunity learning with logistic-tree normal latent Dirichlet allocation
    • [stat.AP]Multiscale Analysis of Count Data through Topic Alignment
    • [stat.CO]The Permutation-Spectrum Test: Identifying Periodic Signals using the Maximum Fourier Intensity
    • [stat.ME]Diagnostics for Monte Carlo Algorithms for Models with Intractable Normalizing Functions
    • [stat.ME]Factor and Idiosyncratic VAR-Ito Volatility Models for Heavy-Tailed High-Frequency Financial Data
    • [stat.ME]Function-on-function partial quantile regression
    • [stat.ME]High-Dimensional Quantile Regression: Convolution Smoothing and Concave Regularization
    • [stat.ME]IQ: Intrinsic measure for quantifying the heterogeneity in meta-analysis
    • [stat.ME]Large-scale local surrogate modeling of stochastic simulation experiments
    • [stat.ME]Optimal hypergeometric confidence sets are (almost) always intervals
    • [stat.ME]PAC Mode Estimation using PPR Martingale Confidence Sequences
    • [stat.ME]Propensity Score Adapted Covariate Selection for Causal Inference
    • [stat.ME]Regression Analysis of Correlations for Correlated Data
    • [stat.ME]Variance Reduction for Causal Inference
    • [stat.ME]Wavelet Shrinkage in Nonparametric Regression Models with Positive Noise
    • [stat.ML]Automatic Componentwise Boosting: An Interpretable AutoML System
    • [stat.ML]Bayesian Topic Regression for Causal Inference
    • [stat.ML]Differentially Private Variable Selection via the Knockoff Filter
    • [stat.ML]Estimation of Local Average Treatment Effect by Data Combination
    • [stat.ML]Inferential Wasserstein Generative Adversarial Networks
    • [stat.ML]Kernel PCA with the Nyström method
    • [stat.ML]Near Instance Optimal Model Selection for Pure Exploration Linear Bandits
    • [stat.ML]Nonlinear matrix recovery using optimization on the Grassmann manifold

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

    • [astro-ph.IM]AstronomicAL: An interactive dashboard for visualisation, integration and classification of data using Active Learning
    Grant Stevens, Sotiria Fotopoulou, Malcolm N. Bremer, Oliver Ray
    http://arxiv.org/abs/2109.05207v1

    • [cond-mat.mtrl-sci]Neural network based order parameter for phase transitions and its applications in high-entropy alloys
    Junqi Yin, Zongrui Pei, Michael Gao
    http://arxiv.org/abs/2109.05598v1

    • [cs.AI]A Socially Aware Reinforcement Learning Agent
    ee6
    for The Single Track Road Problem
    Ido Shapira, Amos Azaria
    http://arxiv.org/abs/2109.05486v1

    • [cs.AI]An Objective Metric for Explainable AI: How and Why to Estimate the Degree of Explainability
    Francesco Sovrano, Fabio Vitali
    http://arxiv.org/abs/2109.05327v1

    • [cs.AI]Efficient Multiple Constraint Acquisition
    Dimosthenis C. Tsouros, Kostas Stergiou
    http://arxiv.org/abs/2109.05920v1

    • [cs.AI]Knowledge Graph-based Neurodegenerative Diseases and Diet Relationship Discovery
    Yi Nian, Jingcheng Du, Larry Bu, Fang Li, Xinyue Hu, Yuji Zhang, Cui Tao
    http://arxiv.org/abs/2109.06123v1

    • [cs.AI]Learning to Act and Observe in Partially Observable Domains
    Thomas Bolander, Nina Gierasimczuk, Andrés Occhipinti Liberman
    http://arxiv.org/abs/2109.06076v1

    • [cs.AI]Neuro-Symbolic AI: An Emerging Class of AI Workloads and their Characterization
    Zachary Susskind, Bryce Arden, Lizy K. John, Patrick Stockton, Eugene B. John
    http://arxiv.org/abs/2109.06133v1

    • [cs.AI]On syntactically similar logic programs and sequential decompositions
    Christian Antic
    http://arxiv.org/abs/2109.05300v1

    • [cs.AI]r-GAT: Relational Graph Attention Network for Multi-Relational Graphs
    Meiqi Chen, Yuan Zhang, Xiaoyu Kou, Yuntao Li, Yan Zhang
    http://arxiv.org/abs/2109.05922v1

    • [cs.CC]Nimber-Preserving Reductions and Homomorphic Sprague-Grundy Game Encodings
    Kyle Burke, Matthew Ferland, Shanghua Teng
    http://arxiv.org/abs/2109.05622v1

    • [cs.CL]“Let Your Characters Tell Their Story”: A Dataset for Character-Centric Narrative Understanding
    Faeze Brahman, Meng Huang, Oyvind Tafjord, Chao Zhao, Mrinmaya Sachan, Snigdha Chaturvedi
    http://arxiv.org/abs/2109.05438v1

    • [cs.CL]A Survey on Multi-modal Summarization
    Anubhav Jangra, Adam Jatowt, Sriparna Saha, Mohammad Hasanuzzaman
    http://arxiv.org/abs/2109.05199v1

    • [cs.CL]AdaK-NER: An Adaptive Top-K Approach for Named Entity Recognition with Incomplete Annotations
    Hongtao Ruan, Liying Zheng, Peixian Hu, Liang Xu, Jing Xiao
    http://arxiv.org/abs/2109.05233v1

    • [cs.CL]Adversarial Examples for Evaluating Math Word Problem Solvers
    Vivek Kumar, Rishabh Maheshwary, Vikram Pudi
    http://arxiv.org/abs/2109.05925v1

    • [cs.CL]Asking Questions Like Educational Experts: Automatically Generating Question-Answer Pairs on Real-World Examination Data
    Fanyi Qu, Xin Jia, Yunfang Wu
    http://arxiv.org/abs/2109.05179v1

    • [cs.CL]Attention Weights in Transformer NMT Fail Aligning Words Between Sequences but Largely Explain Model Predictions
    Javier Ferrando, Marta R. Costa-jussà
    http://arxiv.org/abs/2109.05853v1

    • [cs.CL]Augmented Abstractive Summarization With Document-LevelSemantic Graph
    Qiwei Bi, Haoyuan Li, Kun Lu, Hanfang Yang
    http://arxiv.org/abs/2109.06046v1

    • [cs.CL]Beyond Isolated Utterances: Conversational Emotion Recognition
    Raghavendra Pappagari, Piotr Żelasko, Jesús Villalba, Laureano Moro-Velazquez, Najim Dehak
    http://arxiv.org/abs/2109.06112v1

    • [cs.CL]Building and Evaluating Open-Domain Dialogue Corpora with Clarifying Questions
    Mohammad Aliannejadi, Julia Kiseleva, Aleksandr Chuklin, Jeffrey Dalton, Mikhail Burtsev
    http://arxiv.org/abs/2109.05794v1

    • [cs.CL]CEM: Commonsense-aware Empathetic Response Genera
    1000
    tion
    Sahand Sabour, Chujie Zheng, Minlie Huang
    http://arxiv.org/abs/2109.05739v1

    • [cs.CL]COMBO: State-of-the-Art Morphosyntactic Analysis
    Mateusz Klimaszewski, Alina Wróblewska
    http://arxiv.org/abs/2109.05361v1

    • [cs.CL]COSMic: A Coherence-Aware Generation Metric for Image Descriptions
    Mert İnan, Piyush Sharma, Baber Khalid, Radu Soricut, Matthew Stone, Malihe Alikhani
    http://arxiv.org/abs/2109.05281v1

    • [cs.CL]CPT: A Pre-Trained Unbalanced Transformerfor Both Chinese Language Understanding and Generation
    Yunfan Shao, Zhichao Geng, Yitao Liu, Junqi Dai, Fei Yang, Li Zhe, Hujun Bao, Xipeng Qiu
    http://arxiv.org/abs/2109.05729v1

    • [cs.CL]College Student Retention Risk Analysis From Educational Database using Multi-Task Multi-Modal Neural Fusion
    Mohammad Arif Ul Alam
    http://arxiv.org/abs/2109.05178v1

    • [cs.CL]Contrastive Learning for Context-aware Neural Machine TranslationUsing Coreference Information
    Yongkeun Hwang, Hyungu Yun, Kyomin Jung
    http://arxiv.org/abs/2109.05712v1

    • [cs.CL]Effectiveness of Pre-training for Few-shot Intent Classification
    Haode Zhang, Yuwei Zhang, Li-Ming Zhan, Jiaxin Chen, Guangyuan Shi, Xiao-Ming Wu, Albert Y. S. Lam
    http://arxiv.org/abs/2109.05782v1

    • [cs.CL]Eliciting Knowledge from Language Models for Event Extraction
    Jiaju Lin, Jin Jian, Qin Chen
    http://arxiv.org/abs/2109.05190v1

    • [cs.CL]Empirical Analysis of Training Strategies of Transformer-based Japanese Chit-chat Systems
    Hiroaki Sugiyama, Masahiro Mizukami, Tsunehiro Arimoto, Hiromi Narimatsu, Yuya Chiba, Hideharu Nakajima, Toyomi Meguro
    http://arxiv.org/abs/2109.05217v1

    • [cs.CL]End-to-End Conversational Search for Online Shopping with Utterance Transfer
    Liqiang Xiao, Jun Ma2, Xin Luna Dong, Pascual Martinez-Gomez, Nasser Zalmout, Wei Chen, Tong Zhao, Hao He, Yaohui Jin
    http://arxiv.org/abs/2109.05460v1

    • [cs.CL]End-to-End Entity Resolution and Question Answering Using Differentiable Knowledge Graphs
    Armin Oliya, Amir Saffari, Priyanka Sen, Tom Ayoola
    http://arxiv.org/abs/2109.05817v1

    • [cs.CL]Expanding End-to-End Question Answering on Differentiable Knowledge Graphs with Intersection
    Priyanka Sen, Amir Saffari, Armin Oliya
    http://arxiv.org/abs/2109.05808v1

    • [cs.CL]Exploring Task Difficulty for Few-Shot Relation Extraction
    Jiale Han, Bo Cheng, Wei Lu
    http://arxiv.org/abs/2109.05473v1

    • [cs.CL]Exploring Underexplored Limitations of Cross-Domain Text-to-SQL Generalization
    Yujian Gan, Xinyun Chen, Matthew Purver
    http://arxiv.org/abs/2109.05157v1

    • [cs.CL]Exploring a Unified Sequence-To-Sequence Transformer for Medical Product Safety Monitoring in Social Media
    Shivam Raval, Hooman Sedghamiz, Enrico Santus, Tuka Alhanai, Mohammad Ghassemi, Emmanuele Chersoni
    http://arxiv.org/abs/2109.05815v1

    • [cs.CL]Extracting Event Temporal Relations via Hyperbolic Geometry
    Xingwei Tan, Gabriele Pergola, Yulan He
    http://arxiv.org/abs/2109.05527v1

    • [cs.CL]FBERT: A Neural Transformer for Identifying Offensive Content
    Diptanu Sarkar, Marcos Zampieri, Tharindu Ranasinghe, Alexander Ororbia
    http://arxiv.org/abs/2109.05074v1

    • [cs.CL]Few-Shot Cross-Lingual Stance Detection with Sentiment-Based Pre-Training
    Momchil Hardalov, Arnav Arora, Preslav Nakov, Isabelle Augenstein
    http://arxiv.org/abs/2109.06050v1

    • [cs.CL]Fine-grained Entity Typing via Label Reasoning
    Qing Liu, Hongyu Lin, Xinyan Xiao, Xianpei Han, Le Sun, Hua Wu
    http://arxiv.org/abs/2109.05744v1

    • [cs.CL]Good-Enough Example Extrapolation
    Jason Wei
    http://arxiv.org/abs/2109.05602v1

    • [cs.CL]Guiding Topic Flows in the Generative Chatbot by Enhancing the ConceptNet with the Conversation Corpora
    Pengda Si, Yao Qiu, Jinchao Zhang, Yujiu Yang
    http://arxiv.org/abs/2109.05406v1

    • [cs.CL]HYDRA — Hyper Dependency Representation Attentions
    Ha-Thanh Nguyen, Vu Tran, Tran-Binh Dang, Minh-Quan Bui, Minh-Phuong Nguyen, Le-Minh Nguyen
    http://arxiv.org/abs/2109.05349v1

    • [cs.CL]Honey or Poison? Solving the Trigger Curse in Few-shot Event Detection via Causal Intervention
    Jiawei Chen, Hongyu Lin, Xianpei Han, Le Sun
    http://arxiv.org/abs/2109.05747v1

    • [cs.CL]How to Select One Among All? An Extensive Empirical Study Towards the Robustness of Knowledge Distillation in Natural Language Understanding
    Tianda Li, Ahmad Rashid, Aref Jafari, Pranav Sharma, Ali Ghodsi, Mehdi Rezagholizadeh
    http://arxiv.org/abs/2109.05696v1

    • [cs.CL]HypoGen: Hyperbole Generation with Commonsense and Counterfactual Knowledge
    Yufei Tian, Arvind krishna Sridhar, Nanyun Peng
    http://arxiv.org/abs/2109.05097v1

    • [cs.CL]Implicit Premise Generation with Discourse-aware Commonsense Knowledge Models
    Tuhin Chakrabarty, Aadit Trivedi, Smaranda Muresan
    http://arxiv.org/abs/2109.05358v1

    • [cs.CL]Joint prediction of truecasing and punctuation for conversational speech in low-resource scenarios
    Raghavendra Pappagari, Piotr Żelasko, Agnieszka Mikołajczyk, Piotr Pęzik, Najim Dehak
    http://arxiv.org/abs/2109.06103v1

    • [cs.CL]Keyword Extraction for Improved Document Retrieval in Conversational Search
    Oleg Borisov, Mohammad Aliannejadi, Fabio Crestani
    http://arxiv.org/abs/2109.05979v1

    • [cs.CL]Knowledge Enhanced Fine-Tuning for Better Handling Unseen Entities in Dialogue Generation
    Leyang Cui, Yu Wu, Shujie Liu, Yue Zhang
    http://arxiv.org/abs/2109.05487v1

    • [cs.CL]Latent Hatred: A Benchmark for Understanding Implicit Hate Speech
    Mai ElSherief, Caleb Ziems, David Muchlinski, Vaishnavi Anupindi, Jordyn Seybolt, Munmun De Choudhury, Diyi Yang
    http://arxiv.org/abs/2109.05322v1

    • [cs.CL]Learning from Language Description: Low-shot Named Entity Recognition via Decomposed Framework
    Yaqing Wang, Haoda Chu, Chao Zhang, Jing Gao
    http://arxiv.org/abs/2109.05357v1

    • [cs.CL]Levenshtein Training for Word-level Quality Estimation
    Shuoyang Ding, Marcin Junczys-Dowmunt, Matt Post, Philipp Koehn
    http://arxiv.org/abs/2109.05611v1

    • [cs.CL]Leveraging Table Content for Zero-shot Text-to-SQL with Meta-Learning
    Yongrui Chen, Xinnan Guo, Chaojie Wang, Jian Qiu, Guilin Qi, Meng Wang, Huiying Li
    http://arxiv.org/abs/2109.05395v1

    • [cs.CL]Looking for Confirmations: An Effective and Human-Like Visual Dialogue Strategy
    Alberto Testoni, Raffaella Bernardi
    http://arxiv.org/abs/2109.05312v1

    • [cs.CL]Mitigating Language-Dependent Ethnic Bias in BERT
    Jaimeen Ahn, Alice Oh
    http://arxiv.org/abs/2109.05704v1

    • [cs.CL]Modeling Concentrated Cross-Attention for Neural Machine Translation with Gaussian Mixture Model
    Shaolei Zhang, Yang Feng
    http://arxiv.org/abs/2109.05244v1

    • [cs.CL]Modular Self-Supervision for Document-Level Relation Extraction
    Sheng Zhang, Cliff Wong, Naoto Usuyama, Sarthak Jain, Tristan Naumann, Hoifung Poon
    http://arxiv.org/abs/2109.05362v1

    • [cs.CL]MuVER: Improving First-Stage Entity Retrieval with Multi-View Entity Representations
    Xinyin Ma, Yong Jiang, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, Weiming Lu
    http://arxiv.org/abs/2109.05716v1

    • [cs.CL]Multilingual Translation via Grafting Pre-trained Language Models
    Zewei Sun, Mingxuan Wang, Lei Li
    http://arxiv.org/abs/2109.05256v1

    • [cs.CL]NeuTral Rewriter: A Rule-Based and Neural Approach to Automatic Rewriting into Gender-Neutral Alternatives
    Eva Vanmassenhove, Chris Emmery, Dimitar Shterionov
    http://arxiv.org/abs/2109.06105v1

    • [cs.CL]Not All Models Localize Linguistic Knowledge in the Same Place: A Layer-wise Probing on BERToids’ Representations
    Mohsen Fayyaz, Ehsan Aghazadeh, Ali Modarressi, Hosein Mohebbi, Mohammad Taher Pilehvar
    http://arxiv.org/abs/2109.05958v1

    • [cs.CL]Not All Negatives are Equal: Label-Aware Contrastive Loss for Fine-grained Text Classification
    Varsha Suresh, Desmond C. Ong
    http://arxiv.org/abs/2109.05427v1

    • [cs.CL]On Language Models for Creoles
    Heather Lent, Emanuele Bugliarello, Miryam de Lhoneux, Chen Qiu, Anders Søgaard
    http://arxiv.org/abs/2109.06074v1

    • [cs.CL]Pack Together: Entity and Relation Extraction with Levitated Marker
    Deming Ye, Yankai Lin, Maosong Sun
    http://arxiv.org/abs/2109.06067v1

    • [cs.CL]Pairwise Supervised Contrastive Learning of Sentence Representations
    Dejiao Zhang, Shang-Wen Li, Wei Xiao, Henghui Zhu, Ramesh Nallapati, Andrew O. Arnold, Bing Xiang
    http://arxiv.org/abs/2109.05424v1

    • [cs.CL]Perturbation CheckLists for Evaluating NLG Evaluation Metrics
    Ananya B. Sai, Tanay Dixit, Dev Yashpal Sheth, Sreyas Mohan, Mitesh M. Khapra
    http://arxiv.org/abs/2109.05771v1

    • [cs.CL]Prior Omission of Dissimilar Source Domain(s) for Cost-Effective Few-Shot Learning
    Zezhong Wang, Hongru Wang, Kwan Wai Chung, Jia Zhu, Gabriel Pui Cheong Fung, Kam-Fai Wong
    http://arxiv.org/abs/2109.05234v1

    • [cs.CL]Qualitative and Quantitative Analysis of Diversity in Cross-document Coreference Resolution Datasets
    Anastasia Zhukova, Felix Hamborg, Bela Gipp
    http://arxiv.org/abs/2109.05250v1

    • [cs.CL]Question Answering over Electronic Devices: A New Benchmark Dataset and a Multi-Task Learning based QA Framework
    Abhilash Nandy, Soumya Sharma, Shubham Maddhashiya, Kapil Sachdeva, Pawan Goyal, Niloy Ganguly
    http://arxiv.org/abs/2109.05897v1

    • [cs.CL]Raise a Child in Large Language Model: Towards Effective and Generalizable Fine-tuning
    Runxin Xu, Fuli Luo, Zhiyuan Zhang, Chuanqi Tan, Baobao Chang, Songfang Huang, Fei Huang
    http://arxiv.org/abs/2109.05687v1

    • [cs.CL]Randomized Substitution and Vote for Textual Adversarial Example Detection
    Xiaosen Wang, Yifeng Xiong, Kun He
    http://arxiv.org/abs/2109.05698v1

    • [cs.CL]Refocusing on Relevance: Personalization in NLG
    Shiran Dudy, Steven Bedrick, Bonnie Webber
    http://arxiv.org/abs/2109.05140v1

    • [cs.CL]RockNER: A Simple Method to Create Adversarial Examples for Evaluating the Robustness of Named Entity Recognition Models
    Bill Yuchen Lin, Wenyang Gao, Jun Yan, Ryan Moreno, Xiang Ren
    http://arxiv.org/abs/2109.05620v1

    • [cs.CL]SCORE-IT: A Machine Learning-based Tool for Automatic Standardization of EEG Reports
    Samarth Rawal, Yogatheesan Varatharajah
    http://arxiv.org/abs/2109.05694v1

    • [cs.CL]SHAPE: Shifted Absolute Position Embedding for Transformers
    Shun Kiyono, Sosuke Kobayashi, Jun Suzuki, Kentaro Inui
    http://arxiv.org/abs/2109.05644v1

    • [cs.CL]SPARQLing Database Queries from Intermediate Question Decompositions
    Irina Saparina, Anton Osokin
    http://arxiv.org/abs/2109.06162v1

    • [cs.CL]Semantic Categorization of Social Knowledge for Commonsense Question Answering
    Gengyu Wang, Xiaochen Hou, Diyi Yang, Kathleen McKeown, Jing Huang
    http://arxiv.org/abs/2109.05168v1

    • [cs.CL]Show Me How To Revise: Improving Lexically Constrained Sentence Generation with XLNet
    Xingwei He, Victor O. K. Li
    http://arxiv.org/abs/2109.05797v1

    • [cs.CL]SituatedQA: Incorporating Extra-Linguistic Contexts into QA
    Michael J. Q. Zhang, Eunsol Choi
    http://arxiv.org/abs/2109.06157v1

    • [cs.CL]Speaker-Oriented Latent Structures for Dialogue-Based Relation Extraction
    Guoshun Nan, Guoqing Luo, Sicong Leng, Yao Xiao, Wei Lu
    http://arxiv.org/abs/2109.05182v1

    • [cs.CL]StreamHover: Livestream Transcript Summarization and Annotation
    Sangwoo Cho, Franck Dernoncourt, Tim Ganter, Trung Bui, Nedim Lipka, Walter Chang, Hailin Jin, Jonathan Brandt, Hassan Foroosh, Fei Liu
    http://arxiv.org/abs/2109.05160v1

    • [cs.CL]Stylistic Retrieval-based Dialogue System with Unparallel Training Data
    Hao Fu, Yan Wang, Ruihua Song, Tianran Hu, Jianyun Nie
    http://arxiv.org/abs/2109.05477v1

    • [cs.CL]TEASEL: A Transformer-Based Speech-Prefixed Language Model
    Mehdi Arjmand, Mohammad Javad Dousti, Hadi Moradi
    http://arxiv.org/abs/2109.05522v1

    • [cs.CL]Tamizhi-Net OCR: Creating A Quality Large Scale Tamil-Sinhala-English Parallel Corpus Using Deep Learning Based Printed Character Recognition (PCR)
    Charangan Vasantharajan, Uthayasanker Thayasivam
    http://arxiv.org/abs/2109.05952v1

    • [cs.CL]Text is NOT Enough: Integrating Visual Impressions intoOpen-domain Dialogue Generation
    Lei Shen, Haolan Zhan, Xin Shen, Yonghao Song, Xiaofang Zhao
    http://arxiv.org/abs/2109.05778v1

    • [cs.CL]The Grammar-Learning Trajectories of Neural Language Models
    Leshem Choshen, Guy Hacohen, Daphna Weinshall, Omri Abend
    http://arxiv.org/abs/2109.06096v1

    • [cs.CL]The Impact of Positional Encodings on Multilingual Compression
    Vinit Ravishankar, Anders Søgaard
    http://arxiv.org/abs/2109.05388v1

    • [cs.CL]To Protect and To Serve? Analyzing Entity-Centric Framing of Police Violence
    Caleb Ziems, Diyi Yang
    http://arxiv.org/abs/2109.05325v1

    • [cs.CL]TopicRefine: Joint Topic Prediction and Dialogue Response Generation for Multi-turn End-to-End Dialogue System
    Hongru Wang, Mingyu Cui, Zimo Zhou, Gabriel Pui Cheong Fung, Kam-Fai Wong
    http://arxiv.org/abs/2109.05187v1

    • [cs.CL]Total Recall: a Customized Continual Learning Method for Neural Semantic Parsers
    Zhuang Li, Lizhen Qu, Gholamreza Haffari
    http://arxiv.org/abs/2109.05186v1

    • [cs.CL]Traffic Event Detection as a Slot Filling Problem
    Xiangyu Yang, Giannis Bekoulis, Nikos Deligiannis
    http://arxiv.org/abs/2109.06035v1

    • [cs.CL]Uncovering Main Causalities for Long-tailed Information Extraction
    Guoshun Nan, Jiaqi Zeng, Rui Qiao, Zhijiang Guo, Wei Lu
    http://arxiv.org/abs/2109.05213v1

    • [cs.CL]UniMS: A Unified Framework for Multimodal Summarization with Knowledge Distillation
    Zhengkun Zhang, Xiaojun Meng, Yasheng Wang, Xin Jiang, Qun Liu, Zhenglu Yang
    http://arxiv.org/abs/2109.05812v1

    • [cs.CL]Universal Simultaneous Machine Translation with Mixture-of-Experts Wait-k Policy
    Shaolei Zhang, Yang Feng
    http://arxiv.org/abs/2109.05238v1

    • [cs.CL]Unsupervised Domain Adaptation Schemes for Building ASR in Low-resource Languages
    Anoop C S, Prathosh A P, A G Ramakrishnan
    http://arxiv.org/abs/2109.05494v1

    • [cs.CL]Virtual Data Augmentation: A Robust and General Framework for Fine-tuning Pre-trained Models
    Kun Zhou, Wayne Xin Zhao, Sirui Wang, Fuzheng Zhang, Wei Wu, Ji-Rong Wen
    http://arxiv.org/abs/2109.05793v1

    • [cs.CL]What’s in a Name? Answer Equivalence For Open-Domain Question Answering
    Chenglei Si, Chen Zhao, Jordan Boyd-Graber
    http://arxiv.org/abs/2109.05289v1

    • [cs.CL]When is Wall a Pared and when a Muro? — Extracting Rules Governing Lexical Selection
    Aditi Chaudhary, Kayo Yin, Antonios Anastasopoulos, Graham Neubig
    http://arxiv.org/abs/2109.06014v1

    • [cs.CL]Wine is Not v i n. — On the Compatibility of Tokenizations Across Languages
    Antonis Maronikolakis, Philipp Dufter, Hinrich Schütze
    http://arxiv.org/abs/2109.05772v1

    • [cs.CL]XCoref: Cross-document Coreference Resolution in the Wild
    Anastasia Zhukova, Felix Hamborg, Karsten Donnay, Bela Gipp
    http://arxiv.org/abs/2109.05252v1

    • [cs.CL]xGQA: Cross-Lingual Visual Question Answering
    Jonas Pfeiffer, Gregor Geigle, Aishwarya Kamath, Jan-Martin O. Steitz, Stefan Roth, Ivan Vulić, Iryna Gurevych
    http://arxiv.org/abs/2109.06082v1

    • [cs.CR]A Digital Forensics Investigation of a Smart Scale IoT Ecosystem
    George Grispos, Frank Tursi, Raymond Choo, William Mahoney, William Bradley Glisson
    http://arxiv.org/abs/2109.05518v1

    • [cs.CR]A secondary immune response based on co-evolutive populations of agents for anomaly detection and characterization
    Pedro Pinacho-Davidson, Matías Lermanda, Ricardo Contreras, María A. Pinninghoff
    http://arxiv.org/abs/2109.05376v1

    • [cs.CR]Check Your Other Door! Establishing Backdoor Attacks in the Frequency Domain
    Hasan Abed Al Kader Hammoud, Bernard Ghanem
    http://arxiv.org/abs/2109.05507v1

    • [cs.CR]DRo: A data-scarce mechanism to revolutionize the performance of Deep Learning based Security Systems
    Mohit Sewak, Sanjay K. Sahay, Hemant Rathore
    http://arxiv.org/abs/2109.05470v1

    • [cs.CR]Source Inference Attacks in Federated Learning
    Hongsheng Hu, Zoran Salcic, Lichao Sun, Gillian Dobbie, Xuyun Zhang
    http://arxiv.org/abs/2109.05659v1

    • [cs.CV]A Decidability-Based Loss Function
    Pedro Silva, Gladston Moreira, Vander Freitas, Rodrigo Silva, David Menotti, Eduardo Luz
    http://arxiv.org/abs/2109.05524v1

    • [cs.CV]A Self-Supervised Deep Framework for Reference Bony Shape Estimation in Orthognathic Surgical Planning
    Deqiang Xiao, Hannah Deng, Tianshu Kuang, Lei Ma, Qin Liu, Xu Chen, Chunfeng Lian, Yankun Lang, Daeseung Kim, Jaime Gateno, Steve Guofang Shen, Dinggang Shen, Pew-Thian Yap, James J. Xia
    http://arxiv.org/abs/2109.05191v1

    • [cs.CV]A semi-supervised self-training method to develop assistive intelligence for segmenting multiclass bridge elements from inspection videos
    Muhammad Monjurul Karim, Ruwen Qin, Zhaozheng Yin, enda Chen
    http://arxiv.org/abs/2109.05078v1

    • [cs.CV]ADNet: Leveraging Error-Bias Towards Normal Direction in Face Alignment
    Yangyu Huang, Hao Yang, Chong Li, Jongyoo Kim, Fangyun Wei
    http://arxiv.org/abs/2109.05721v1

    • [cs.CV]Adversarial Bone Length Attack on Action Recognition
    Nariki Tanaka, Hiros
    1000
    hi Kera, Kazuhiko Kawamoto
    http://arxiv.org/abs/2109.05830v1

    • [cs.CV]Adversarially Trained Object Detector for Unsupervised Domain Adaptation
    Kazuma Fujii, Hiroshi Kera, Kazuhiko Kawamoto
    http://arxiv.org/abs/2109.05751v1

    • [cs.CV]An Unsupervised Deep-Learning Method for Fingerprint Classification: the CCAE Network and the Hybrid Clustering Strategy
    Yue-Jie Hou, Zai-Xin Xie, Jian-Hu, Yao-Shen, Chi-Chun Zhou
    http://arxiv.org/abs/2109.05526v1

    • [cs.CV]Are Gender-Neutral Queries Really Gender-Neutral? Mitigating Gender Bias in Image Search
    Jialu Wang, Yang Liu, Xin Eric Wang
    http://arxiv.org/abs/2109.05433v1

    • [cs.CV]ArtiBoost: Boosting Articulated 3D Hand-Object Pose Estimation via Online Exploration and Synthesis
    Kailin Li, Lixin Yang, Xinyu Zhan, Jun Lv, Wenqiang Xu, Jiefeng Li, Cewu Lu
    http://arxiv.org/abs/2109.05488v1

    • [cs.CV]BGT-Net: Bidirectional GRU Transformer Network for Scene Graph Generation
    Naina Dhingra, Florian Ritter, Andreas Kunz
    http://arxiv.org/abs/2109.05346v1

    • [cs.CV]Border-SegGCN: Improving Semantic Segmentation by Refining the Border Outline using Graph Convolutional Network
    Naina Dhingra, George Chogovadze, Andreas Kunz
    http://arxiv.org/abs/2109.05353v1

    • [cs.CV]Bornon: Bengali Image Captioning with Transformer-based Deep learning approach
    Faisal Muhammad Shah, Mayeesha Humaira, Md Abidur Rahman Khan Jim, Amit Saha Ami, Shimul Paul
    http://arxiv.org/abs/2109.05218v1

    • [cs.CV]CANS: Communication Limited Camera Network Self-Configuration for Intelligent Industrial Surveillance
    Jingzheng Tu, Qimin Xu, Cailian Chen
    http://arxiv.org/abs/2109.05665v1

    • [cs.CV]CDTrans: Cross-domain Transformer for Unsupervised Domain Adaptation
    Tongkun Xu, Weihua Chen, Pichao Wang, Fan Wang, Hao Li, Rong Jin
    http://arxiv.org/abs/2109.06165v1

    • [cs.CV]Can Language Models Encode Perceptual Structure Without Grounding? A Case Study in Color
    Mostafa Abdou, Artur Kulmizev, Daniel Hershcovich, Stella Frank, Ellie Pavlick, Anders Søgaard
    http://arxiv.org/abs/2109.06129v1

    • [cs.CV]CarNet: A Lightweight and Efficient Encoder-Decoder Architecture for High-quality Road Crack Detection
    Kai Li, Yingjie Tian, Zhiquan Qi
    http://arxiv.org/abs/2109.05707v1

    • [cs.CV]Challenges and Solutions in DeepFakes
    Jatin Sharma, Sahil Sharma
    http://arxiv.org/abs/2109.05397v1

    • [cs.CV]ChangeChip: A Reference-Based Unsupervised Change Detection for PCB Defect Detection
    Yehonatan Fridman, Matan Rusanovsky, Gal Oren
    http://arxiv.org/abs/2109.05746v1

    • [cs.CV]Class-Distribution-Aware Calibration for Long-Tailed Visual Recognition
    Mobarakol Islam, Lalithkumar Seenivasan, Hongliang Ren, Ben Glocker
    http://arxiv.org/abs/2109.05263v1

    • [cs.CV]Conditional Generation of Synthetic Geospatial Images from Pixel-level and Feature-level Inputs
    Xuerong Xiao, Swetava Ganguli, Vipul Pandey
    http://arxiv.org/abs/2109.05201v1

    • [cs.CV]Conditional MoCoGAN for Zero-Shot Video Generation
    Shun Kimura, Kazuhiko Kawamoto
    http://arxiv.org/abs/2109.05864v1

    • [cs.CV]Constructing Phrase-level Semantic Labels to Form Multi-Grained Supervision for Image-Text Retrieval
    Zhihao Fan, Zhongyu Wei, Zejun Li, Siyuan Wang, Haijun Shan, Xuanjing Huang, Jianqing Fan
    http://arxiv.org/abs/2109.05523v1

    • [cs.CV]Contrastive Quantization with Code Memory for Unsupervised Image Retrieval
    Jinpeng Wang, Ziyun Zeng, Bin Chen, Tao Dai, Shu-Tao Xia
    http://arxiv.org/abs/2109.05205v1

    • [cs.CV]Convolutional Hough Matching Networks for Robust and Efficient Visual Correspondence
    Juhong Min, Seungwook Kim, Minsu Cho
    http://arxiv.org/abs/2109.05221v1

    • [cs.CV]Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR-based Perception
    Xinge Zhu, Hui Zhou, Tai Wang, Fangzhou Hong, Wei Li, Yuexin Ma, Hongsheng Li, Ruigang Yang, Dahua Lin
    http://arxiv.org/abs/2109.05441v1

    • [cs.CV]DAFNe: A One-Stage Anchor-Free Deep Model for Oriented Object Detection
    Steven Lang, Fabrizio Ventola, Kristian Kersting
    http://arxiv.org/abs/2109.06148v1

    • [cs.CV]DSNet: A Dual-Stream Framework for Weakly-Supervised Gigapixel Pathology Image Analysis
    Tiange Xiang, Yang Song, Chaoyi Zhang, Dongnan Liu, Mei Chen, Fan Zhang, Heng Huang, Lauren O’Donnell, Weidong Cai
    http://arxiv.org/abs/2109.05788v1

    • [cs.CV]DSSL: Deep Surroundings-person Separation Learning for Text-based Person Retrieval
    Aichun Zhu, Zijie Wang, Yifeng Li, Xili Wan, Jing Jin, Tian Wang, Fangqiang Hu, Gang Hua
    http://arxiv.org/abs/2109.05534v1

    • [cs.CV]Deep Joint Source-Channel Coding for Multi-Task Network
    Mengyang Wang, Zhicong Zhang, Jiahui Li, Mengyao Ma, Xiaopeng Fan
    http://arxiv.org/abs/2109.05779v1

    • [cs.CV]DeepPyram: Enabling Pyramid View and Deformable Pyramid Reception for Semantic Segmentation in Cataract Surgery Videos
    Negin Ghamsarian, Mario Taschwer, klaus Schoeffmann
    http://arxiv.org/abs/2109.05352v1

    • [cs.CV]Discovering the Unknown Knowns: Turning Implicit Knowledge in the Dataset into Explicit Training Examples for Visual Question Answering
    Jihyung Kil, Cheng Zhang, Dong Xuan, Wei-Lun Chao
    http://arxiv.org/abs/2109.06122v1

    • [cs.CV]Efficient Tensor Completion via Element-wise Weighted Low-rank Tensor Train with Overlapping Ket Augmentation
    Yang Zhang, Yao Wang, Zhi Han, Xi’ai Chen, Yandong Tang
    http://arxiv.org/abs/2109.05736v1

    • [cs.CV]Evaluating Computer Vision Techniques for Urban Mobility on Large-Scale, Unconstrained Roads
    Harish Rithish, Raghava Modhugu, Ranjith Reddy, Rohit Saluja, C. V. Jawahar
    http://arxiv.org/abs/2109.05226v1

    • [cs.CV]Evolving Architectures with Gradient Misalignment toward Low Adversarial Transferability
    Kevin Richard G. Operiano, Wanchalerm Pora, Hitoshi Iba, Hiroshi Kera
    http://arxiv.org/abs/2109.05919v1

    • [cs.CV]Explain Me the Painting: Multi-Topic Knowledgeable Art Description Generation
    Zechen Bai, Yuta Nakashima, Noa Garcia
    http://arxiv.org/abs/2109.05743v1

    • [cs.CV]FaceGuard: Proactive Deepfake Detection
    Yuankun Yang, Chenyue Liang, Hongyu He, Xiaoyu Cao, Neil Zhenqiang Gong
    http://arxiv.org/abs/2109.05673v1

    • [cs.CV]Facial Anatomical Landmark Detection using Regularized Transfer Learning with Application to Fetal Alcohol Syndrome Recognition
    Zeyu Fu, Jianbo Jiao, Michael Suttie, J. Alison Noble
    http://arxiv.org/abs/2109.05485v1

    • [cs.CV]Fine-Grained Few Shot Learning with Foreground Object Transformation
    Chaofei Wang, Shiji Song, Qisen Yang, Xiang Li, Gao Huang
    http://arxiv.org/abs/2109.05719v1

    • [cs.CV]Generating Datasets of 3D Garments with Sewing Patterns
    Maria Korosteleva, Sung-Hee Lee
    http://arxiv.org/abs/2109.05633v1

    • [cs.CV]Global-Local Dynamic Feature Alignment Network for Person Re-Identification
    Zhangqiang Ming, Yong Yang, Xiaoyong Wei, Jianrong Yan, Xiangkun Wang, Fengjie Wang, Min Zhu
    http://arxiv.org/abs/2109.05759v1

    • [cs.CV]Graph-Based 3D Multi-Person Pose Estimation Using Multi-View Images
    Size Wu, Sheng Jin, Wentao Liu, Lei Bai, Chen Qian, Dong Liu, Wanli Ouyang
    http://arxiv.org/abs/2109.05885v1

    • [cs.CV]HCDG: A Hierarchical Consistency Framework for Domain Generalization on Medical Image Segmentation
    Yijun Yang, Shujun Wang, Pheng-Ann Heng, Lequan Yu
    http://arxiv.org/abs/2109.05742v1

    • [cs.CV]Image Shape Manipulation from a Single Augmented Training Sample
    Yael Vinker, Eliahu Horwitz, Nir Zabari, Yedid Hoshen
    http://arxiv.org/abs/2109.06151v1

    • [cs.CV]Improving Robustness of Adversarial Attacks Using an Affine-Invariant Gradient Estimator
    Wenzhao Xiang, Hang Su, Chang Liu, Yandong Guo, Shibao Zheng
    http://arxiv.org/abs/2109.05820v1

    • [cs.CV]Instance-Conditioned GAN
    Arantxa Casanova, Marlène Careil, Jakob Verbeek, Michal Drozdzal, Adriana Romero-Soriano
    http://arxiv.org/abs/2109.05070v1

    • [cs.CV]LEA-Net: Layer-wise External Attention Network for Efficient Color Anomaly Detection
    Ryoya Katafuchi, Terumasa Tokunaga
    http://arxiv.org/abs/2109.05493v1

    • [cs.CV]Learning Indoor Inverse Rendering with 3D Spatially-Varying Lighting
    Zian Wang, Jonah Philion, Sanja Fidler, Jan Kautz
    http://arxiv.org/abs/2109.06061v1

    • [cs.CV]Learning Statistical Representation with Joint Deep Embedded Clustering
    Mina Rezaei, Emilio Dorigatti, David Ruegamer, Bernd Bischl
    http://arxiv.org/abs/2109.05232v1

    • [cs.CV]Learning to Ground Visual Objects for Visual Dialog
    Feilong Chen, Xiuyi Chen, Can Xu, Daxin Jiang
    http://arxiv.org/abs/2109.06013v1

    • [cs.CV]Learning to Predict Diverse Human Motions from a Single Image via Mixture Density Networks
    Chunzhi Gu, Yan Zhao, Chao Zhang
    http://arxiv.org/abs/2109.05776v1

    • [cs.CV]Leveraging Clinical Characteristics for Improved Deep Learning-Based Kidney Tumor Segmentation on CT
    Christina B. Lund, Bas H. M. van der Velden
    http://arxiv.org/abs/2109.05816v1

    • [cs.CV]Low-Shot Validation: Active Importance Sampling for Estimating Classifier Performance on Rare Categories
    Fait Poms, Vishnu Sarukkai, Ravi Teja Mullapudi, Nimit S. Sohoni, William R. Mark, Deva Ramanan, Kayvon Fatahalian
    http://arxiv.org/abs/2109.05720v1

    • [cs.CV]MLFW: A Database for Face Recognition on Masked Faces
    Chengrui Wang, Han Fang, Yaoyao Zhong, Weihong Deng
    http://arxiv.org/abs/2109.05804v1

    • [cs.CV]MSGDD-cGAN: Multi-Scale Gradients Dual Discriminator Conditional Generative Adversarial Network
    Mohammadreza Naderi, Zahra Nabizadeh, Nader Karimi, Shahram Shirani, Shadrokh Samavi
    http://arxiv.org/abs/2109.05614v1

    • [cs.CV]Meta Navigator: Search for a Good Adaptation Policy for Few-shot Learning
    Chi Zhang, Henghui Ding, Guosheng Lin, Ruibo Li, Changhu Wang, Chunhua Shen
    http://arxiv.org/abs/2109.05749v1

    • [cs.CV]MovieCuts: A New Dataset and Benchmark for Cut Type Recognition
    Alejandro Pardo, Fabian Caba Heilbron, Juan León Alcázar, Ali Thabet, Bernard Ghanem
    http://arxiv.org/abs/2109.05569v1

    • [cs.CV]Multiresolution Deep Implicit Functions for 3D Shape Representation
    Zhang Chen, Yinda Zhang, Kyle Genova, Sean Fanello, Sofien Bouaziz, Christian Haene, Ruofei Du, Cem Keskin, Thomas Funkhouser, Danhang Tang
    http://arxiv.org/abs/2109.05591v1

    • [cs.CV]Mutual Supervision for Dense Object Detection
    Ziteng Gao, Limin Wang, Gangshan Wu
    http://arxiv.org/abs/2109.05986v1

    • [cs.CV]Nonlocal Patch-Based Fully-Connected Tensor Network Decomposition for Remote Sensing Image Inpainting
    Wen-Jie Zheng, Xi-Le Zhao, Yu-Bang Zheng, Zhi-Feng Pang
    http://arxiv.org/abs/2109.05889v1

    • [cs.CV]On Pursuit of Designing Multi-modal Transformer for Video Grounding
    Meng Cao, Long Chen, Mike Zheng Shou, Can Zhang, Yuexian Zou
    http://arxiv.org/abs/2109.06085v1

    • [cs.CV]On the Sins of Image Synthesis Loss for Self-supervised Depth Estimation
    Zhaoshuo Li, Nathan Drenkow, Hao Ding, Andy S. Ding, Alexander Lu, Francis X. Creighton, Russell H. Taylor, Mathias Unberath
    http://arxiv.org/abs/2109.06163v1

    • [cs.CV]Online Unsupervised Learning of Visual Representations and Categories
    Mengye Ren, Tyler R. Scott, Michael L. Iuzzolino, Michael C. Mozer, Richard Zemel
    http://arxiv.org/abs/2109.05675v1

    • [cs.CV]PAT: Pseudo-Adversarial Training For Detecting Adversarial Videos
    Nupur Thakur, Baoxin Li
    http://arxiv.org/abs/2109.05695v1

    • [cs.CV]PQ-Transformer: Jointly Parsing 3D Objects and Layouts from Point Clouds
    Xiaoxue Chen, Hao Zhao, Guyue Zhou, Ya-Qin Zhang
    http://arxiv.org/abs/2109.05566v1

    • [cs.CV]Partially-supervised novel object captioning leveraging context from paired data
    Shashank Bujimalla, Mahesh Subedar, Omesh Tickoo
    http://arxiv.org/abs/2109.05115v1

    • [cs.CV]Pose with Style: Detail-Preserving Pose-Guided Image Synthesis with Conditional StyleGAN
    Badour AlBahar, Jingwan Lu, Jimei Yang, Zhixin Shu, Eli Shechtman, Jia-Bin Huang
    http://arxiv.org/abs/2109.06166v1

    • [cs.CV]Preliminary Wildfire Detection Using State-of-the-art PTZ (Pan, Tilt, Zoom) Camera Technology and Convolutional Neural Networks
    Samarth Shah
    http://arxiv.org/abs/2109.05083v1

    • [cs.CV]Prioritized Subnet Sampling for Resource-Adaptive Supernet Training
    Bohong Chen, Mingbao Lin, Liujuan Cao, Jianzhuang Liu, Qixiang Ye, Baochang Zhang, Wei Zeng, Yonghong Tian, Rongrong Ji
    http://arxiv.org/abs/2109.05432v1

    • [cs.CV]Pyramid Hybrid Pooling Quantization for Efficient Fine-Grained Image Retrieval
    Ziyun Zeng, Jinpeng Wang, Bin Chen, Tao Dai, Shu-Tao Xia
    http://arxiv.org/abs/2109.05206v1

    • [cs.CV]RobustART: Benchmarking Robustness on Architecture Design and Training Techniques
    Shiyu Tang, Ruihao Gong, Yan Wang, Aishan Liu, Jiakai Wang, Xinyun Chen, Fengwei Yu, Xianglong Liu, Dawn Song, Alan Yuille, Philip H. S. Torr, Dacheng Tao
    http://arxiv.org/abs/2109.05211v1

    • [cs.CV]Shape-Biased Domain Generalization via Shock Graph Embeddings
    Maruthi Narayanan, Vickram Rajendran, Benjamin Kimia
    http://arxiv.org/abs/2109.05671v1

    • [cs.CV]Single-stage Keypoint-based Category-level Object Pose Estimation from an RGB Image
    Yunzhi Lin, Jonathan Tremblay, Stephen Tyree, Patricio A. Vela, Stan Birchfield
    http://arxiv.org/abs/2109.06161v1

    • [cs.CV]Single-stream CNN with Learnable Architecture for Multi-source Remote Sensing Data
    Yi Yang, Daoye Zhu, Tengteng Qu, Qiangyu Wang, Fuhu Ren, Chengqi Cheng
    http://arxiv.org/abs/2109.06094v1

    • [cs.CV]Sparse MLP for Image Recognition: Is Self-Attention Really Necessary?
    Chuanxin Tang, Yucheng Zhao, Guangting Wang, Chong Luo, Wenxuan Xie, Wenjun Zeng
    http://arxiv.org/abs/2109.05422v1

    • [cs.CV]Spatial and Semantic Consistency Regularizations for Pedestrian Attribute Recognition
    Jian Jia, Xiaotang Chen, Kaiqi Huang
    http://arxiv.org/abs/2109.05686v1

    • [cs.CV]Spatial-Separated Curve Rendering Network for Efficient and High-Resolution Image Harmonization
    Jingtang Liang, Xiaodong Cun, Chi-Man Pun
    http://arxiv.org/abs/2109.05750v1

    • [cs.CV]SphereFace Revived: Unifying Hyperspherical Face Recognition
    Weiyang Liu, Yandong Wen, Bhiksha Raj, Rita Singh, Adrian Weller
    http://arxiv.org/abs/2109.05565v1

    • [cs.CV]Task Guided Compositional Representation Learning for ZDA
    Shuang Liu, Mete Ozay
    http://arxiv.org/abs/2109.05934v1

    • [cs.CV]The State of the Art when using GPUs in Devising Image Generation Methods Using Deep Learning
    Yasuko Kawahata
    http://arxiv.org/abs/2109.05783v1

    • [cs.CV]U-Net Convolutional Network for Recognition of Vessels and Materials in Chemistry Lab
    Zhihao Shang, Di Bo
    http://arxiv.org/abs/2109.05585v1

    • [cs.CV]UMPNet: Universal Manipulation Policy Network for Articulated Objects
    Zhenjia Xu, Zhanpeng He, Shuran Song
    http://arxiv.org/abs/2109.05668v1

    • [cs.CV]Unsupervised Domain Adaptive Learning via Synthetic Data for Person Re-identification
    Qi Wang, Sikai Bai, Junyu Gao, Yuan Yuan, Xuelong Li
    http://arxiv.org/abs/2109.05542v1

    • [cs.CV]Unsupervised domain adaptation for cross-modality liver segmentation via joint adversarial learning and self-learning
    Jin Hong, Simon Chun Ho Yu, Weitian Chen
    http://arxiv.org/abs/2109.05664v1

    • [cs.CV]Variational Disentanglement for Domain Generalization
    Yufei Wang, Haoliang Li, Lap-Pui Chau, Alex C. Kot
    http://arxiv.org/abs/2109.05826v1

    • [cs.CV]Vision-based system identification and 3D keypoint discovery using dynamics constraints
    Miguel Jaques, Martin Asenov, Michael Burke, Timothy Hospedales
    http://arxiv.org/abs/2109.05928v1

    • [cs.CV]Weakly Supervised Person Search with Region Siamese Networks
    Chuchu Han, Kai Su, Dongdong Yu, Zehuan Yuan, Changxin Gao, Nong Sang, Yi Yang, Changhu Wang
    http://arxiv.org/abs/2109.06109v1

    • [cs.CV]What happens in Face during a facial expression? Using data mining techniques to analyze facial expression motion vectors
    Mohamad Roshanzamir, Roohallah Alizadehsani, Mahdi Roshanzamir, Afshin Shoeibi, Juan M. Gorriz, Abbas Khosrave, Saeid Nahavandi
    http://arxiv.org/abs/2109.05457v1

    • [cs.CY]Cyber-Security in the Emerging World of Smart Everything
    Elochukwu A. Ukwandu, Ephraim N. C. Okafor, Charles Ikerionwu, Comfort Olebara, Celestine Ugwu
    http://arxiv.org/abs/2109.05821v1

    • [cs.CY]FaiREO: User Group Fairness for Equality of Opportunity in Course Recommendation
    Agoritsa Polyzou, Maria Kalantzi, George Karypis
    http://arxiv.org/abs/2109.05931v1

    • [cs.CY]Measurement as governance in and for responsible AI
    Abigail Z. Jacobs
    http://arxiv.org/abs/2109.05658v1

    • [cs.DB]Augmenting Decision Making via Interactive What-If Analysis
    Sneha Gathani, Madelon Hulsebos, James Gale, Peter J. Haas, Çağatay Demiralp
    http://arxiv.org/abs/2109.06160v1

    • [cs.DB]Discovering Technology Gaps using the IntSight Knowledge Navigator
    Aurpon Gupta, Subhasis Dasgupta, Snehasis Sinha, Amarnath Gupta
    http://arxiv.org/abs/2109.05142v1

    • [cs.DB]Making Table Understanding Work in Practice
    Madelon Hulsebos, Sneha Gathani, James Gale, Isil Dillig, Paul Groth, Çağatay Demiralp
    http://arxiv.org/abs/2109.05173v1

    • [cs.DC]A readahead prefetcher for GPU file system layer
    Vasilis Dimitsas, Mark Silberstein
    http://arxiv.org/abs/2109.05366v1

    • [cs.DC]Accelerated Distributed Laplacian Solvers via Shortcuts
    Ioannis Anagnostides, Themis Gouleakis, Christoph Lenzen
    http://arxiv.org/abs/2109.05151v1

    • [cs.DC]Accelerating GPU-Based Out-of-Core Stencil Computation with On-the-Fly Compression
    Jingcheng Shen, Yifan Wu, Masao Okita, Fumihiko Ino
    http://arxiv.org/abs/2109.05410v1

    • [cs.DC]Benchmarking Processor Performance by Multi-Threaded Machine Learning Algorithms
    Muhammad Fahad Saleem
    http://arxiv.org/abs/2109.05276v1

    • [cs.DC]Distributed recoloring of interval and chordal graphs
    Nicolas Bousquet, Laurent Feuilloley, Marc Heinrich, Mikaël Rabie
    http://arxiv.org/abs/2109.06021v1

    • [cs.DC]H2Opus: A distributed-memory multi-GPU software package for non-local operators
    Stefano Zampini, Wajih Boukaram, George Turkiyyah, Omar Knio, David E. Keyes
    http://arxiv.org/abs/2109.05451v1

    • [cs.DC]Hybrid Workload Scheduling on HPC Systems
    Yuping Fan, Paul Rich, William Allcock, Michael Papka, Zhiling Lan
    http://arxiv.org/abs/2109.05412v1

    • [cs.DC]IFogSim2: An Extended iFogSim Simulator for Mobility, Clustering, and Microservice Management in Edge and Fog Computing Environments
    Redowan Mahmud, Samodha Pallewatta, Mohammad Goudarzi, Rajkumar Buyya
    http://arxiv.org/abs/2109.05636v1

    • [cs.DC]Implementing Parallel Quick Sort Algorithm on OTIS Hyper Hexa-Cell (OHHC) Interconnection Network
    Esam Nsour, Mohammad Fasha
    http://arxiv.org/abs/2109.05176v1

    • [cs.DC]MODC: Resilience for disaggregated memory architectures using task-based programming
    Kimberly Keeton, Sharad Singhal, Haris Volos, Yupu Zhang, Ramesh Chandra Chaurasiya, Clarete Riana Crasta, Sherin T George, Nagaraju K N, Mashood Abdulla K, Kavitha Natarajan, Porno Shome, Sanish Suresh
    http://arxiv.org/abs/2109.05329v1

    • [cs.DL]Viewing citation trend of Indian physics and astronomy research papers since 2005 through the lens of some new indicators
    Gopinath Das, Bidyarthi Dutta, Anup Kumar Das
    http://arxiv.org/abs/2109.05344v1

    • [cs.ET]Single-Read Reconstruction for DNA Data Storage Using Transformers
    Yotam Nahum, Eyar Ben-Tolila, Leon Anavy
    http://arxiv.org/abs/2109.05478v1

    • [cs.GR]Reinforcement Learning for Load-balanced Parallel Particle Tracing
    Jiayi Xu, Hanqi Guo, Han-Wei Shen, Mukund Raj, Skylar Wolfgang Wurster, Tom Peterka
    http://arxiv.org/abs/2109.05679v1

    • [cs.HC]AdViCE: Aggregated Visual Counterfactual Explanations for Machine Learning Model Validation
    Oscar Gomez, Steffen Holter, Jun Yuan, Enrico Bertini
    http://arxiv.org/abs/2109.05629v1

    • [cs.HC]Making Online Communities ‘Better’: A Taxonomy of Community Values on Reddit
    Galen Weld, Amy X. Zhang, Tim Althoff
    http://arxiv.org/abs/2109.05152v1

    • [cs.HC]Perceptions of Fairness and Trustworthiness Based on Explanations in Human vs. Automated Decision-Making
    Jakob Schoeffer, Yvette Machowski, Niklas Kuehl
    http://arxiv.org/abs/2109.05792v1

    • [cs.HC]The Flaws of Policies Requiring Human Oversight of Government Algorithms
    Ben Green
    http://arxiv.org/abs/2109.05067v1

    • [cs.IR]ARGO: Modeling Heterogeneity in E-commerce Recommendation
    Daqing Wu, Xiao Luo, Zeyu Ma, Chong Chen, Minghua Deng, Jinwen Ma
    http://arxiv.org/abs/2109.05789v1

    • [cs.IR]An Adaptive Boosting Technique to Mitigate Popularity Bias in Recommender System
    Ajay Gangwar, Shweta Jain
    http://arxiv.org/abs/2109.05677v1

    • [cs.IR]An Improved Hybrid Recommender System: Integrating Document Context-Based and Behavior-Based Methods
    Meysam Varasteh, Mehdi Soleiman Nejad, Hadi Moradi, Mohammad Amin Sadeghi, Ahmad Kalhor
    http://arxiv.org/abs/2109.05516v1

    • [cs.IR]Analysing Mixed Initiatives and Search Strategies during Conversational Search
    Mohammad Aliannejadi, Leif Azzopardi, Hamed Zamani, Evangelos Kanoulas, Paul Thomas, Nick Craswel
    http://arxiv.org/abs/2109.05955v1

    • [cs.IR]BeautifAI — A Personalised Occasion-oriented Makeup Recommendation System
    Kshitij Gulati, Gaurav Verma, Mukesh Mohania, Ashish Kundu
    http://arxiv.org/abs/2109.06072v1

    • [cs.IR]CauseRec: Counterfactual User Sequence Synthesis for Sequential Recommendation
    Shengyu Zhang, Dong Yao, Zhou Zhao, Tat-seng Chua, Fei Wu
    http://arxiv.org/abs/2109.05261v1

    • [cs.IR]Correcting the User Feedback-Loop Bias for Recommendation Systems
    Weishen Pan, Sen Cui, Hongyi Wen, Kun Chen, Changshui Zhang, Fei Wang
    http://arxiv.org/abs/2109.06037v1

    • [cs.IR]Cross-Market Product Recommendation
    Hamed Bonab, Mohammad Aliannejadi, Ali Vardasbi, Evangelos Kanoulas, James Allan
    http://arxiv.org/abs/2109.05929v1

    • [cs.IR]Efficient-FedRec: Efficient Federated Learning Fr
    fca
    amework for Privacy-Preserving News Recommendation
    Jingwei Yi, Fangzhao Wu, Chuhan Wu, Ruixuan Liu, Guangzhong Sun, Xing Xie
    http://arxiv.org/abs/2109.05446v1

    • [cs.IR]Existence conditions for hidden feedback loops in online recommender systems
    Anton S. Khritankov, Anton A. Pilkevich
    http://arxiv.org/abs/2109.05278v1

    • [cs.IR]Graph-based Retrieval for Claim Verification over Cross-Document Evidence
    Misael Mongiovì, Aldo Gangemi
    http://arxiv.org/abs/2109.06022v1

    • [cs.IR]MURAL: Multimodal, Multitask Retrieval Across Languages
    Aashi Jain, Mandy Guo, Krishna Srinivasan, Ting Chen, Sneha Kudugunta, Chao Jia, Yinfei Yang, Jason Baldridge
    http://arxiv.org/abs/2109.05125v1

    • [cs.IR]Uni-FedRec: A Unified Privacy-Preserving News Recommendation Framework for Model Training and Online Serving
    Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang, Xing Xie
    http://arxiv.org/abs/2109.05236v1

    • [cs.IT]A Framework for Developing Algorithms for Estimating Propagation Parameters from Measurements
    Akbar Sayeed, Peter Vouras, Camillo Gentile, Alec Weiss, Jeanne Quimby, Zihang Cheng, Bassel Modad, Yuning Zhang, Chethan Anjinappa, Fatih Erden, Ozgur Ozdemir, Robert Muller, Diego Dupleich, Han Niu, 6David Michelson, 6Aidan Hughes
    http://arxiv.org/abs/2109.06131v1

    • [cs.IT]Covert queueing problem with a Markovian statistic
    Arti Yardi, Tejas Bodas
    http://arxiv.org/abs/2109.05702v1

    • [cs.IT]Fundamental limits of over-the-air optimization: Are analog schemes optimal?
    Shubham K Jha, Prathamesh Mayekar, Himanshu Tyagi
    http://arxiv.org/abs/2109.05222v1

    • [cs.IT]Hermite Expansion Model and LMMSE Analysis for Low-Resolution Quantized MIMO Detection
    Lifu Liu, Yi Ma, Na Yi
    http://arxiv.org/abs/2109.05334v1

    • [cs.IT]How is Time Frequency Space Modulation Related to Short Time Fourier Signaling?
    Akbar M Sayeed
    http://arxiv.org/abs/2109.06047v1

    • [cs.IT]Learning-Based UE Classification in Millimeter-Wave Cellular Systems With Mobility
    Dino Pjanić, Alexandros Sopasakis, Harsh Tataria, Fredrik Tufvesson, Andres Reial
    http://arxiv.org/abs/2109.05893v1

    • [cs.IT]Minimizing Quantum Renyi Divergences via Mirror Descent with Polyak Step Size
    Jun-Kai You, Hao-Chung Cheng, Yen-Huan Li
    http://arxiv.org/abs/2109.06054v1

    • [cs.IT]On the Age of Information of a Queuing System with Heterogeneous Servers
    Anhad Bhati, Sibi Raj B. Pillai, Rahul Vaze
    http://arxiv.org/abs/2109.05752v1

    • [cs.IT]On the Fundamental Limits of Matrix Completion: Leveraging Hierarchical Similarity Graphs
    Junhyung Ahn, Adel Elmahdy, Soheil Mohajer, Changho Suh
    http://arxiv.org/abs/2109.05408v1

    • [cs.IT]On the Intercept Probability and Secure Outage Analysis of Mixed (今日学术视野(2021.9.15) - 图5-今日学术视野(2021.9.15) - 图6-今日学术视野(2021.9.15) - 图7)-shadowed and Málaga Turbulent Model
    N. A. Sarker, A. S. M. Badrudduza, S. M. R. Islam, S. H. Islam, M. K. Kundu, I. S. Ansari, K. -S. Kwak
    http://arxiv.org/abs/2109.05171v1

    • [cs.IT]On the Optimal Load-Memory Tradeoff of Coded Caching for Location-Based Content
    Kai Wan, Minquan Cheng, Mari Kobayashi, Giuseppe Caire
    http://arxiv.org/abs/2109.06016v1

    • [cs.IT]RIS and Cell-Free Massive MIMO: A Marriage For Harsh Propagation Environments
    Trinh Van Chien, Hien Quoc Ngo, Symeon Chatzinotas, Marco Di Renzo, Björn Ottersten
    http://arxiv.org/abs/2109.05444v1

    • [cs.IT]RWP+: A New Random Waypoint Model for High-Speed Mobility
    Hussein A. Ammar, Raviraj Adve, Shahram Shahbazpanahi, Gary Boudreau, Kothapalli Venkata Srinivas
    http://arxiv.org/abs/2109.05978v1

    • [cs.IT]Relaxed Zero-Forcing Beamformer under Temporally-Correlated Interference
    Takehiro Kono, Masahiro Yukawa, Tomasz Piotrowski
    http://arxiv.org/abs/2109.05342v1

    • [cs.IT]Sequential Detection and Estimation of Multipath Channel Parameters Using Belief Propagation
    Xuhong Li, Erik Leitinger, Alexander Venus, Fredrik Tufvesson
    http://arxiv.org/abs/2109.05623v1

    • [cs.IT]Successive Decode-and-Forward Relaying with Reconfigurable Intelligent Surfaces
    Zaid Abdullah, Steven Kisseleff, Konstantinos Ntontin, Wallace Alves Martins, Symeon Chatzinotas, Bjorn Ottersten
    http://arxiv.org/abs/2109.05316v1

    • [cs.IT]URLLC and eMBB Coexistence in MIMO Non-orthogonal Multiple Access Systems
    Qimei Chen, Jiajia Wang, Hao Jiang
    http://arxiv.org/abs/2109.05725v1

    • [cs.IT]Whittle Index Based Scheduling Policy for Minimizing the Cost of Age of Information
    Zhifeng Tang, Zhuo Sun, Nan Yang, Xiangyun Zhou
    http://arxiv.org/abs/2109.05869v1

    • [cs.LG]2-in-1 Accelerator: Enabling Random Precision Switch for Winning Both Adversarial Robustness and Efficiency
    Yonggan Fu, Yang Zhao, Qixuan Yu, Chaojian Li, Yingyan Lin
    http://arxiv.org/abs/2109.05223v1

    • [cs.LG]A Novel Intrinsic Measure of Data Separability
    Shuyue Guan, Murray Loew
    http://arxiv.org/abs/2109.05180v1

    • [cs.LG]A deep learning guided memetic framework for graph coloring problems
    Olivier Goudet, Cyril Grelier, Jin-Kao Hao
    http://arxiv.org/abs/2109.05948v1

    • [cs.LG]AMI-FML: A Privacy-Preserving Federated Machine Learning Framework for AMI
    Milan Biswal, Abu Saleh Md Tayeen, Satyajayant Misra
    http://arxiv.org/abs/2109.05666v1

    • [cs.LG]Accurate Prediction Using Triangular Type-2 Fuzzy Linear Regression
    Assef Zare, Afshin Shoeibi, Narges Shafaei, Parisa Moridian, Roohallah Alizadehsani, Majid Halaji, Abbas Khosravi
    http://arxiv.org/abs/2109.05461v1

    • [cs.LG]Adaptive network reliability analysis: Methodology and applications to power grid
    Nariman L. Dehghani, Soroush Zamanian, Abdollah Shafieezadeh
    http://arxiv.org/abs/2109.05360v1

    • [cs.LG]Adversarial Representation Learning With Closed-Form Solvers
    Bashir Sadeghi, Lan Wang, Vishnu Naresh Boddeti
    http://arxiv.org/abs/2109.05535v1

    • [cs.LG]An Empirical Comparison of Off-policy Prediction Learning Algorithms in the Four Rooms Environment
    Sina Ghiassian, Richard S. Sutton
    http://arxiv.org/abs/2109.05110v1

    • [cs.LG]An End-to-end Point of Interest (POI) Conflation Framework
    Raymond Low, Zeynep D. Tekler, Lynette Cheah
    http://arxiv.org/abs/2109.06073v1

    • [cs.LG]Application of Machine Learning in Early Recommendation of Cardiac Resynchronization Therapy
    Brendan E. Odigwe, Francis G. Spinale, Homayoun Valafar
    http://arxiv.org/abs/2109.06139v1

    • [cs.LG]Applications of Recurrent Neural Network for Biometric Authentication & Anomaly Detection
    Joseph M. Ackerson, Dave Rushit, Seliya Jim
    http://arxiv.org/abs/2109.05701v1

    • [cs.LG]CoG: a Two-View Co-training Framework for Defending Adversarial Attacks on Graph
    Xugang Wu, Huijun Wu, Xu Zhou, Kai Lu
    http://arxiv.org/abs/2109.05558v1

    • [cs.LG]Compute and Energy Consumption Trends in Deep Learning Inference
    Radosvet Desislavov, Fernando Martínez-Plumed, José Hernández-Orallo
    http://arxiv.org/abs/2109.05472v1

    • [cs.LG]Concave Utility Reinforcement Learning with Zero-Constraint Violations
    Mridul Agarwal, Qinbo Bai, Vaneet Aggarwal
    http://arxiv.org/abs/2109.05439v1

    • [cs.LG]Concept Drift Detection in Federated Networked Systems
    Dimitrios Michael Manias, Ibrahim Shaer, Li Yang, Abdallah Shami
    http://arxiv.org/abs/2109.06088v1

    • [cs.LG]Cost-Effective Federated Learning in Mobile Edge Networks
    Bing Luo, Xiang Li, Shiqiang Wang, Jianwei Huang, Leandros Tassiulas
    http://arxiv.org/abs/2109.05411v1

    • [cs.LG]Critical Learning Periods in Federated Learning
    Gang Yan, Hao Wang, Jian Li
    http://arxiv.org/abs/2109.05613v1

    • [cs.LG]DHA: End-to-End Joint Optimization of Data Augmentation Policy, Hyper-parameter and Architecture
    Kaichen Zhou, Lanqing Hong, Shoukang Hu, Fengwei Zhou, Binxin Ru, Jiashi Feng, Zhenguo Li
    http://arxiv.org/abs/2109.05765v1

    • [cs.LG]Data Analytics for Smart cities: Challenges and Promises
    Farid Ghareh Mohammadi, Farzan Shenavarmasouleh, M. Hadi Amini, Hamid R. Arabnia
    http://arxiv.org/abs/2109.05581v1

    • [cs.LG]Detecting Handwritten Mathematical Terms with Sensor Based Data
    Lukas Wegmeth, Alexander Hoelzemann, Kristof Van Laerhoven
    http://arxiv.org/abs/2109.05594v1

    • [cs.LG]Direct Advantage Estimation
    Hsiao-Ru Pan, Nico Gürtler, Alexander Neitz, Bernhard Schölkopf
    http://arxiv.org/abs/2109.06093v1

    • [cs.LG]DisCERN:Discovering Counterfactual Explanations using Relevance Features from Neighbourhoods
    Nirmalie Wiratunga, Anjana Wijekoon, Ikechukwu Nkisi-Orji, Kyle Martin, Chamath Palihawadana, David Corsar
    http://arxiv.org/abs/2109.05800v1

    • [cs.LG]Doubly Adaptive Scaled Algorithm for Machine Learning Using Second-Order Information
    Majid Jahani, Sergey Rusakov, Zheng Shi, Peter Richtárik, Michael W. Mahoney, Martin Takáč
    http://arxiv.org/abs/2109.05198v1

    • [cs.LG]DynSTGAT: Dynamic Spatial-Temporal Graph Attention Network for Traffic Signal Control
    Libing Wu, Min Wang, Dan Wu, Jia Wu
    http://arxiv.org/abs/2109.05491v1

    • [cs.LG]EMVLight: A Decentralized Reinforcement Learning Framework for EfficientPassage of Emergency Vehicles
    Haoran Su, Yaofeng Desmond Zhong, Biswadip Dey, Amit Chakraborty
    http://arxiv.org/abs/2109.05429v1

    • [cs.LG]Explaining Deep Learning Representations by Tracing the Training Process
    Lukas Pfahler, Katharina Morik
    http://arxiv.org/abs/2109.05880v1

    • [cs.LG]Fast Variational AutoEncoder with Inverted Multi-Index for Collaborative Filtering
    Jin Chen, Binbin Jin, Xu Huang, Defu Lian, Kai Zheng, Enhong Chen
    http://arxiv.org/abs/2109.05773v1

    • [cs.LG]Feature Importance in Gradient Boosting Trees with Cross-Validation Feature Selection
    Afek Ilay Adler, Amichai Painsky
    http://arxiv.org/abs/2109.05468v1

    • [cs.LG]FedFair: Training Fair Models In Cross-Silo Federated Learning
    Lingyang Chu, Lanjun Wang, Yanjie Dong, Jian Pei, Zirui Zhou, Yong Zhang
    http://arxiv.org/abs/2109.05662v1

    • [cs.LG]FedTriNet: A Pseudo Labeling Method with Three Players for Federated Semi-supervised Learning
    Liwei Che, Zewei Long, Jiaqi Wang, Yaqing Wang, Houping Xiao, Fenglong Ma
    http://arxiv.org/abs/2109.05612v1

    • [cs.LG]Federated Ensemble Model-based Reinforcement Learning
    Jin Wang, Jia Hu, Jed Mills, Geyong Min
    http://arxiv.org/abs/2109.05549v1

    • [cs.LG]Formalizing and Estimating Distribution Inference Risks
    Anshuman Suri, David Evans
    http://arxiv.org/abs/2109.06024v1

    • [cs.LG]Global and Local Interpretation of black-box Machine Learning models to determine prognostic factors from early COVID-19 data
    Ananya Jana, Carlos D. Minacapelli, Vinod Rustgi, Dimitris Metaxas
    http://arxiv.org/abs/2109.05087v1

    • [cs.LG]GradTS: A Gradient-Based Automatic Auxiliary Task Selection Method Based on Transformer Networks
    Weicheng Ma, Renze Lou, Kai Zhang, Lili Wang, Soroush Vosoughi
    http://arxiv.org/abs/2109.05748v1

    • [cs.LG]HyAR: Addressing Discrete-Continuous Action Reinforcement Learning via Hybrid Action Representation
    Boyan Li, Hongyao Tang, Yan Zheng, Jianye Hao, Pengyi Li, Zhen Wang, Zhaopeng Meng, Li Wang
    http://arxiv.org/abs/2109.05490v1

    • [cs.LG]HyP-ABC: A Novel Automated Hyper-Parameter Tuning Algorithm Using Evolutionary Optimization
    Leila Zahedi, Farid Ghareh Mohammadi, M. Hadi Amini
    http://arxiv.org/abs/2109.05319v1

    • [cs.LG]Improved Algorithms for Misspecified Linear Markov Decision Processes
    Daniel Vial, Advait Parulekar, Sanjay Shakkottai, R. Srikant
    http://arxiv.org/abs/2109.05546v1

    • [cs.LG]Is Heterophily A Real Nightmare For Graph Neural Networks To Do Node Classification?
    Sitao Luan, Chenqing Hua, Qincheng Lu, Jiaqi Zhu, Mingde Zhao, Shuyuan Zhang, Xiao-Wen Chang, Doina Precup
    http://arxiv.org/abs/2109.05641v1

    • [cs.LG]Learning To Describe Player Form in The MLB
    Connor Heaton, Prasenjit Mitra
    http://arxiv.org/abs/2109.05280v1

    • [cs.LG]Machine learning reveals how personalized climate communication can both succeed and backfire
    Totte Harinen, Alexandre Filipowicz, Shabnam Hakimi, Rumen Iliev, Matthew Klenk, Emily Sumner
    http://arxiv.org/abs/2109.05104v1

    • [cs.LG]Mixing between the Cross Entropy and the Expectation Loss Terms
    Barak Battash, Lior Wolf, Tamir Hazan
    http://arxiv.org/abs/2109.05635v1

    • [cs.LG]No True State-of-the-Art? OOD Detection Methods are Inconsistent across Datasets
    Fahim Tajwar, Ananya Kumar, Sang Michael Xie, Percy Liang
    http://arxiv.org/abs/2109.05554v1

    • [cs.LG]Omnipredictors
    Parikshit Gopalan, Adam Tauman Kalai, Omer Reingold, Vatsal Sharan, Udi Wieder
    http://arxiv.org/abs/2109.05389v1

    • [cs.LG]On Solving a Stochastic Shortest-Path Markov Decision Process as Probabilistic Inference
    Mohamed Baioumy, Bruno Lacerda, Paul Duckworth, Nick Hawes
    http://arxiv.org/abs/2109.05866v1

    • [cs.LG]On Tilted Losses in Machine Learning: Theory and Applications
    Tian Li, Ahmad Beirami, Maziar Sanjabi, Virginia Smith
    http://arxiv.org/abs/2109.06141v1

    • [cs.LG]On the Choice of Fairness: Finding Representative Fairness Metrics for a Given Context
    Hadis Anahideh, Nazanin Nezami, Abolfazl Asudeh
    http://arxiv.org/abs/2109.05697v1

    • [cs.LG]On the Compression of Neural Networks Using 今日学术视野(2021.9.15) - 图8-Norm Regularization and Weight Pruning
    Felipe Dennis de Resende Oliveira, Eduardo Luiz Ortiz Batista, Rui Seara
    http://arxiv.org/abs/2109.05075v1

    • [cs.LG]On the Efficiency of Subclass Knowledge Distillation in Classification Tasks
    Ahmad Sajedi, Konstantinos N. Plataniotis
    http://arxiv.org/abs/2109.05587v1

    • [cs.LG]On the Impact of Spurious Correlation for Out-of-distribution Detection
    Yifei Ming, Hang Yin, Yixuan Li
    http://arxiv.org/abs/2109.05642v1

    • [cs.LG]On the Initial Behavior Monitoring Issues in Federated Learning
    Ranwa Al Mallah, Godwin Badu-Marfo, Bilal Farooq
    http://arxiv.org/abs/2109.05385v1

    • [cs.LG]Online Learning of Optimally Diverse Rankings
    Stefan Magureanu, Alexandre Proutiere, Marcus Isaksson, Boxun Zhang
    http://arxiv.org/abs/2109.05899v1

    • [cs.LG]Physics-based Deep Learning
    Nils Thuerey, Philipp Holl, Maximilian Mueller, Patrick Schnell, Felix Trost, Kiwon Um
    http://arxiv.org/abs/2109.05237v1

    • [cs.LG]Process Discovery Using Graph Neural Networks
    Dominique Sommers, Vlado Menkovski, Dirk Fahland
    http://arxiv.org/abs/2109.05835v1

    • [cs.LG]RADARS: Memory Efficient Reinforcement Learning Aided Differentiable Neural Architecture Search
    Zheyu Yan, Weiwen Jiang, Xiaobo Sharon Hu, Yiyu Shi
    http://arxiv.org/abs/2109.05691v1

    • [cs.LG]Region Invariant Normalizing Flows for Mobility Transfer
    Vinayak Gupta, Srikanta Bedathur
    http://arxiv.org/abs/2109.05738v1

    • [cs.LG]Relaxed Marginal Consistency for Differentially Private Query Answering
    Ryan McKenna, Siddhant Pradhan, Daniel Sheldon, Gerome Miklau
    http://arxiv.org/abs/2109.06153v1

    • [cs.LG]Remaining Useful Life Estimation of Hard Disk Drives using Bidirectional LSTM Networks
    Austin Coursey, Gopal Nath, Srikanth Prabhu, Saptarshi Sengupta
    http://arxiv.org/abs/2109.05351v1

    • [cs.LG]Robust Federated Best-Arm Identification in Multi-Armed Bandits
    Aritra Mitra, Hamed Hassani, George Pappas
    http://arxiv.org/abs/2109.05700v1

    • [cs.LG]Robust Stability of Neural-Network Controlled Nonlinear Systems with Parametric Variability
    Soumyabrata Talukder, Ratnesh Kumar
    http://arxiv.org/abs/2109.05710v1

    • [cs.LG]SignGuard: Byzantine-robust Federated Learning through Collaborative Malicious Gradient Filtering
    Jian Xu, Shao-Lun Huang, Linqi Song, Tian Lan
    http://arxiv.org/abs/2109.05872v1

    • [cs.LG]Space Meets Time: Local Spacetime Neural Network For Traffic Flow Forecasting
    Song Yang, Jiamou Liu, Kaiqi Zhao
    http://arxiv.org/abs/2109.05225v1

    • [cs.LG]Stochastic Adversarial Koopman Model for Dynamical Systems
    Kaushik Balakrishnan, Devesh Upadhyay
    http://arxiv.org/abs/2109.05095v1

    • [cs.LG]Structure-preserving Sparse Identification of Nonlinear Dynamics for Data-driven Modeling
    Kookjin Lee, Nathaniel Trask, Panos Stinis
    http://arxiv.org/abs/2109.05364v1

    • [cs.LG]The Logic Traps in Evaluating Post-hoc Interpretations
    Yiming Ju, Yuanzhe Zhang, Zhao Yang, Zhongtao Jiang, Kang Liu, Jun Zhao
    http://arxiv.org/abs/2109.05463v1

    • [cs.LG]The mathematics of adversarial attacks in AI — Why deep learning is unstable despite the existence of stable neural networks
    Alexander Bastounis, Anders C Hansen, Verner Vlačić
    http://arxiv.org/abs/2109.06098v1

    • [cs.LG]Toward Communication Efficient Adaptive Gradient Method
    Xiangyi Chen, Xiaoyun Li, Ping Li
    http://arxiv.org/abs/2109.05109v1

    • [cs.LG]Towards a Rigorous Evaluation of Time-series Anomaly Detection
    Siwon Kim, Kukjin Choi, Hyun-Soo Choi, Byunghan Lee, Sungroh Yoon
    http://arxiv.org/abs/2109.05257v1

    • [cs.LG]Uniform Generalization Bounds for Overparameterized Neural Networks
    Sattar Vakili, Michael Bromberg, Da-shan Shiu, Alberto Bernacchia
    http://arxiv.org/abs/2109.06099v1

    • [cs.LG]Utility Fairness for the Differentially Private Federated Learning
    Sheeraz A. Alvi, Yi Hong, Salman Durrani
    http://arxiv.org/abs/2109.05267v1

    • [cs.LG]Zeroth-order non-convex learning via hierarchical dual averaging
    Amélie Héliou, Matthieu Martin, Panayotis Mertikopoulos, Thibaud Rahier
    http://arxiv.org/abs/2109.05829v1

    • [cs.LO]Categorical Semantics of Reversible Pattern-Matching
    Louis Lemonnier, Kostia Chardonnet, Benoît Valiron
    http://arxiv.org/abs/2109.05837v1

    • [cs.MA]Learning Robot Swarm Tactics over Complex Adversarial Environments
    Amir Behjat, Hemanth Manjunatha, Prajit KrisshnaKumar, Apurv Jani, Leighton Collins, Payam Ghassemi, Joseph Distefano, David Doermann, Karthik Dantu, Ehsan Esfahani, Souma Chowdhury
    http://arxiv.org/abs/2109.05663v1

    • [cs.MM]MOMENTA: A Multimodal Framework for Detecting Harmful Memes and Their Targets
    Shraman Pramanick, Shivam Sharma, Dimitar Dimitrov, Md Shad Akhtar, Preslav Nakov, Tanmoy Chakraborty
    http://arxiv.org/abs/2109.05184v1

    • [cs.NE]A Scalable Continuous Unbounded Optimisation Benchmark Suite from Neural Network Regression
    Katherine M. Malan, Christopher W. Cleghorn
    http://arxiv.org/abs/2109.05606v1

    • [cs.NE]Batched Data-Driven Evolutionary Multi-Objective Optimization Based on Manifold Interpolation
    Ke Li, Renzhi Chen
    http://arxiv.org/abs/2109.05639v1

    • [cs.NE]BioLCNet: Reward-modulated Locally Connected Spiking Neural Networks
    Hafez Ghaemi, Erfan Mirzaei, Mahbod Nouri, Saeed Reza Kheradpisheh
    http://arxiv.org/abs/2109.05539v1

    • [cs.NE]Illuminating Diverse Neural Cellular Automata for Level Generation
    Sam Earle, Justin Snider, Matthew C. Fontaine, Stefanos Nikolaidis, Julian Togelius
    http://arxiv.org/abs/2109.05489v1

    • [cs.NE]MOEA/D with Adaptative Number of Weight Vectors
    Yuri Lavinas, Abe Mitsu Teru, Yuta Kobayashi, Claus Aranha
    http://arxiv.org/abs/2109.05741v1

    • [cs.NE]Parameterless Gene-pool Optimal Mixing Evolutionary Algorithms
    Arkadiy Dushatskiy, Marco Virgolin, Anton Bouter, Dirk Thierens, Peter A. N. Bosman
    http://arxiv.org/abs/2109.05259v1

    • [cs.NE]Runtime Analysis of Single- and Multi-Objective Evolutionary Algorithms for Chance Constrained Optimization Problems with Normally Distributed Random Variables
    Frank Neumann, Carsten Witt
    http://arxiv.org/abs/2109.05799v1

    • [cs.NI]Computation Rate Maximum for Mobile Terminals in UAV-assisted Wireless Powered MEC Networks with Fairness Constraint
    Xiaoyi Zhou, Liang Huang, Tong Ye, Weiqiang Sun
    http://arxiv.org/abs/2109.05767v1

    • [cs.NI]No Size Fits All: Automated Radio Configuration for LPWANs
    Zerina Kapetanovic, Deepak Vasisht, Tusher Chakraborty, Joshua R. Smith, Ranveer Chandra
    http://arxiv.org/abs/2109.05103v1

    • [cs.RO]A Q-learning Control Method for a Soft Robotic Arm Utilizing Training Data from a Rough Simulator
    Peijin Li, Gaotian Wang, Hao Jiang, Yusong Jin, Yinghao Gan, Xiaoping Chen, Jianmin Ji
    http://arxiv.org/abs/2109.05795v1

    • [cs.RO]A Right Invariant Extended Kalman Filter for Object based SLAM
    Yang Song, Zhuqing Zhang, Jun Wu, Yue Wang, Liang Zhao, Shoudong Huang
    http://arxiv.org/abs/2109.05297v1

    • [cs.RO]A study and design of localization system for mobile robot based on ROS
    Anh-Tu Nguyen, Cong-Thanh Vu
    http://arxiv.org/abs/2109.05551v1

    • [cs.RO]ART-SLAM: Accurate Real-Time 6DoF LiDAR SLAM
    Matteo Frosi, Matteo Matteucci
    http://arxiv.org/abs/2109.05483v1

    • [cs.RO]Adversarial Imitation Learning via Random Search in Lane Change Decision-Making
    Myungjae Shin, Joongheon Kim
    http://arxiv.org/abs/2109.05197v1

    • [cs.RO]AutoSoC: Automating Algorithm-SOC Co-design for Aerial Robots
    Srivatsan Krishnan, Thierry Tambe, Zishen Wan, Vijay Janapa Reddi
    http://arxiv.org/abs/2109.05683v1

    • [cs.RO]Autonomous Head-to-Head Racing in the Indy Autonomous Challenge Simulation Race
    Gabriel Hartmann, Zvi Shiller, Amos Azaria
    http://arxiv.org/abs/2109.05455v1

    • [cs.RO]Autonomous Underwater Vehicle-Manipulator Systems Path Planning with RRTAUVMS Algorithm
    Xiaoxu Cao, Linyi Gu, JunChen Mu, Qian Zhang, Qi Song, Chunxiao Liu, Cong Qiu
    http://arxiv.org/abs/2109.05208v1

    • [cs.RO]Balancing the Budget: Feature Selection and Tracking for Multi-Camera Visual-Inertial Odometry
    Lintong Zhang, David Wisth, Marco Camurri, Maurice Fallon
    http://arxiv.org/abs/2109.05975v1

    • [cs.RO]Bundled Gradients through Contact via Randomized Smoothing
    H. J. Terry Suh, Tao Pang, Russ Tedrake
    http://arxiv.org/abs/2109.05143v1

    • [cs.RO]CoHaptics: Development of Human-Robot Collaborative System with Forearm-worn Haptic Display to Increase Safety in Future Factories
    Miguel Altamirano Cabrera, Juan Heredia, Jonathan Tirado, Vladislav Panov, Fikre Hagos, Dzmitry Tsetserukou
    http://arxiv.org/abs/2109.05912v1

    • [cs.RO]Constraint-Driven Optimal Control of Multi-Agent Systems: A Highway Platooning Case Study
    Logan E. Beaver, Andreas A. Malikopoulos
    http://arxiv.org/abs/2109.05988v1

    • [cs.RO]Creation and Verification of Digital Twins in Cloud Production
    Maksim Kubrikov, Mikhail Saramud, Angelina Petetskaya, Evgeniy Talay
    http://arxiv.org/abs/2109.05856v1

    • [cs.RO]Cross Domain Robot Imitation with Invariant Representation
    Zhao-Heng Yin, Lingfeng Sun, Hengbo Ma, Masayoshi Tomizuka, Wu-Jun Li
    http://arxiv.org/abs/2109.05940v1

    • [cs.RO]Deformation-Aware Data-Driven Grasp Synthesis
    Tran Nguyen Le, Jens Lundell, Fares J. Abu-Dakka, Ville Kyrki
    http://arxiv.org/abs/2109.05320v1

    • [cs.RO]Direct Random Search for Fine Tuning of Deep Reinforcement Learning Policies
    Sean Gillen, Asutay Ozmen, Katie Byl
    http://arxiv.org/abs/2109.05604v1

    • [cs.RO]Encoding Distributional Soft Actor-Critic for Autonomous Driving in Multi-lane Scenarios
    Jingliang Duan, Yangang Ren, Fawang Zhang, Yang Guan, Dongjie Yu, Shengbo Eben Li, Bo Cheng, Lin Zhao
    http://arxiv.org/abs/2109.05540v1

    • [cs.RO]Extended Capture Point and Optimization-based Control for Quadrupedal Robot Walking on Dynamic Rigid Surfaces
    Amir Iqbal, Yan Gu
    http://arxiv.org/abs/2109.05135v1

    • [cs.RO]Learning Selective Communication for Multi-Agent Path Finding
    Ziyuan Ma, Yudong Luo, Jia Pan
    http://arxiv.org/abs/2109.05413v1

    • [cs.RO]Learning and Leveraging Environmental Features to Improve Robot Awareness
    Tahiya Salam, Victoria Edwards, M. Ani Hsieh
    http://arxiv.org/abs/2109.06107v1

    • [cs.RO]Learning to Navigate Sidewalks in Outdoor Environments
    Maks Sorokin, Jie Tan, C. Karen Liu, Sehoon Ha
    http://arxiv.org/abs/2109.05603v1

    • [cs.RO]Learning to Swarm with Knowledge-Based Neural Ordinary Differential Equations
    Tom Z. Jiahao, Lishuo Pan, M. Ani Hsieh
    http://arxiv.org/abs/2109.04927v2

    • [cs.RO]LiDAR Odometry Methodologies for Autonomous Driving: A Survey
    Nikhil Jonnavithula, Yecheng Lyu, Ziming Zhang
    http://arxiv.org/abs/2109.06120v1

    • [cs.RO]Natural Multicontact Walking for Robotic Assistive Devices via Musculoskeletal Models and Hybrid Zero Dynamics
    Kejun Li, Maegan Tucker, Rachel Gehlhar, Yisong Yue, Aaron D. Ames
    http://arxiv.org/abs/2109.05113v1

    • [cs.RO]On pareto-optimal fronts for diminishment of lane-changing impact in mixed traffic
    Yang Li, Linbo Li, Daiheng Ni
    http://arxiv.org/abs/2109.06080v1

    • [cs.RO]Prioritized Planning for Cooperative Range-Only Localization in Multi-Robot Networks
    Alan Papalia, Nicole Thumma, John Leonard
    http://arxiv.org/abs/2109.05132v1

    • [cs.RO]RVMDE: Radar Validated Monocular Depth Estimation for Robotics
    Muhamamd Ishfaq Hussain, Muhammad Aasim Rafique, Moongu Jeon
    http://arxiv.org/abs/2109.05265v1

    • [cs.RO]Robot Navigation in Irregular Environments with Local Elevation Estimation using Deep Reinforcement Learning
    Kasun Weerakoon, Adarsh Jagan Sathyamoorthy, Utsav Patel, Dinesh Manocha
    http://arxiv.org/abs/2109.05120v1

    • [cs.RO]SMARRT: Self-Repairing Motion-Reactive Anytime RRT for Dynamic Environments
    Zongyuan Shen, James Wilson, Ryan Harvey, Shalabh Gupta
    http://arxiv.org/abs/2109.05043v1

    • [cs.RO]Topology-Informed Model Predictive Control for Anticipatory Collision Avoidance on a Ballbot
    Christoforos Mavrogiannis, Krishna Balasubramanian, Sriyash Poddar, Anush Gandra, Siddhartha S. Srinivasa
    http://arxiv.org/abs/2109.05084v1

    • [cs.RO]Towards Robust Monocular Visual Odometry for Flying Robots on Planetary Missions
    Martin Wudenka, Marcus G. Müller, Nikolaus Demmel, Armin Wedler, Rudolph Triebel, Daniel Cremers, Wolfgang Stürzl
    http://arxiv.org/abs/2109.05509v1

    • [cs.RO]Towards Stochastic Fault-tolerant Control using Precision Learning and Active Inference
    Mohamed Baioumy, Corrado Pezzato, Carlos Hernandez Corbato, Nick Hawes, Riccardo Ferrari
    http://arxiv.org/abs/2109.05870v1

    • [cs.RO]Two-timescale Mechanism-and-Data-Driven Control for Aggressive Driving of Autonomous Cars
    Yiwen Lu, Bo Yang, Yilin Mo
    http://arxiv.org/abs/2109.05170v1

    • [cs.RO]Unified Kinematic and Dynamical Modeling of a Soft Robotic Arm by a Piecewise Universal Joint Model
    Zhanchi Wang, Gaotian Wang, Nikolaos M. Freris
    http://arxiv.org/abs/2109.05791v1

    • [cs.RO]Vision-Aided Autonomous Navigation of Bipedal Robots in Height-Constrained Environments
    Zhongyu Li, Jun Zeng, Shuxiao Chen, Koushil Sreenath
    http://arxiv.org/abs/2109.05714v1

    • [cs.SD]Zero-Shot Text-to-Speech for Text-Based Insertion in Audio Narration
    Chuanxin Tang, Chong Luo, Zhiyuan Zhao, Dacheng Yin, Yucheng Zhao, Wenjun Zeng
    http://arxiv.org/abs/2109.05426v1

    • [cs.SE]Neural Network Guided Evolutionary Fuzzing for Finding Traffic Violations of Autonomous Vehicles
    Ziyuan Zhong, Gail Kaiser, Baishakhi Ray
    http://arxiv.org/abs/2109.06126v1

    • [cs.SI]How social network influences human behavior: An integrated latent space approach
    Ick Hoon Jin, Jina Park, Minjeong Jeon
    http://arxiv.org/abs/2109.05200v1

    • [cs.SI]Online Influence Maximization with Node-level Feedback Using Standard Offline Oracles
    Zhijie Zhang, Wei Chen, Xiaoming Sun, Jialin Zhang
    http://arxiv.org/abs/2109.06077v1

    • [cs.SI]QUINT: Node embedding using network hashing
    Debajyoti Bera, Rameshwar Pratap, Bhisham Dev Verma, Biswadeep Sen, Tanmoy Chakraborty
    http://arxiv.org/abs/2109.04206v2

    • [cs.SI]SDG Target Interactions: The Philippine Analysis of Indivisible and Cancelling Targets
    Vena Pearl Bongolan, Arian Allenson M. Valdez, Roselle Leah K. Rivera
    http://arxiv.org/abs/2109.05532v1

    • [cs.SI]Who shapes crisis communication on Twitter? An analysis of influential German-language accounts during the COVID-19 pandemic
    Gautam Kishore Shahi, Sünje Clausen, Stefan Stieglitz
    http://arxiv.org/abs/2109.05492v1

    • [econ.EM]Estimating a new panel MSK dataset for comparative analyses of national absorptive capacity systems, economic growth, and development in low and middle income economies
    Muhammad Salar Khan
    http://arxiv.org/abs/2109.05529v1

    • [econ.EM]Nonparametric Estimation of Truncated Conditional Expectation Functions
    Tomasz Olma
    http://arxiv.org/abs/2109.06150v1

    • [eess.IV]A Complex Constrained Total Variation Image Denoising Algorithm with Application to Phase Retrieval
    Yunhui Gao, Liangcai Cao
    http://arxiv.org/abs/2109.05496v1

    • [eess.IV]A Joint Graph and Image Convolution Network for Automatic Brain Tumor Segmentation
    Camillo Saueressig, Adam Berkley, Reshma Munbodh, Ritambhara Singh
    http://arxiv.org/abs/2109.05580v1

    • [eess.IV]Blood vessel segmentation in en-face OCTA images: a frequency based method
    Anna Breger, Felix Goldbach, Bianca S. Gerendas, Ursula Schmidt-Erfurth, Martin Ehler
    http://arxiv.org/abs/2109.06116v1

    • [eess.IV]CAN3D: Fast 3D Medical Image Segmentation via Compact Context Aggregation
    Wei Dai, Boyeong Woo, Siyu Liu, Matthew Marques, Craig B. Engstrom, Peter B. Greer, Stuart Crozier, Jason A. Dowling, Shekhar S. Chandras
    http://arxiv.org/abs/2109.05443v1

    • [eess.IV]Co-Correcting: Noise-tolerant Medical Image Classification via mutual Label Correction
    Jiarun Liu, Ruirui Li, Chuan Sun
    http://arxiv.org/abs/2109.05159v1

    • [eess.IV]Differential Diagnosis of Frontotemporal Dementia and Alzheimer’s Disease using Generative Adversarial Network
    Ma Da, Lu Donghuan, Popuri Karteek, Beg Mirza Faisal
    http://arxiv.org/abs/2109.05627v1

    • [eess.IV]Domain and Content Adaptive Convolution for Domain Generalization in Medical Image Segmentation
    Shishuai Hu, Zehui Liao, Jianpeng Zhang, Yong Xia
    http://arxiv.org/abs/2109.05676v1

    • [eess.IV]Dual-view Snapshot Compressive Imaging via Optical Flow Aided Recurrent Neural Network
    Ruiying Lu, Bo Chen, Guanliang Liu, Ziheng Cheng, Mu Qiao, Xin Yuan
    http://arxiv.org/abs/2109.05287v1

    • [eess.IV]Efficient Re-parameterization Residual Attention Network For Nonhomogeneous Image Dehazing
    Tian Ye, ErKang Chen, XinRui Huang, Peng Chen
    http://arxiv.org/abs/2109.05479v1

    • [eess.IV]Follow the Curve: Robotic-Ultrasound Navigation with Learning Based Localization of Spinous Processes for Scoliosis Assessment
    Maria Victorova, Michael Ka-Shing Lee, David Navarro-Alarcon, Yongping Zheng
    http://arxiv.org/abs/2109.05196v1

    • [eess.IV]IceNet for Interactive Contrast Enhancement
    Keunsoo Ko, Chang-Su Kim
    http://arxiv.org/abs/2109.05838v1

    • [eess.IV]Low-Light Image Enhancement with Normalizing Flow
    Yufei Wang, Renjie Wan, Wenhan Yang, Haoliang Li, Lap-Pui Chau, Alex C. Kot
    http://arxiv.org/abs/2109.05923v1

    • [eess.IV]Self supervised learning improves dMMR/MSI detection from histology slides across multiple cancers
    Charlie Saillard, Olivier Dehaene, Tanguy Marchand, Olivier Moindrot, Aurélie Kamoun, Benoit Schmauch, Simon Jegou
    http://arxiv.org/abs/2109.05819v1

    • [eess.IV]Sickle Cell Disease Severity Prediction from Percoll Gradient Images using Graph Convolutional Networks
    Ario Sadafi, Asya Makhro, Leonid Livshits, Nassir Navab, Anna Bogdanova, Shadi Albarqouni, Carsten Marr
    http://arxiv.org/abs/2109.05372v1

    • [eess.IV]Team NeuroPoly: Description of the Pipelines for the MICCAI 2021 MS New Lesions Segmentation Challenge
    Uzay Macar, Enamundram Naga Karthik, Charley Gros, Andréanne Lemay, Julien Cohen-Adad
    http://arxiv.org/abs/2109.05409v1

    • [eess.IV]WeakSTIL: Weak whole-slide image level stromal tumor infiltrating lymphocyte scores are all you need
    Yoni Schirris, Mendel Engelaer, Andreas Panteli, Hugo Mark Horlings, Efstratios Gavves, Jonas Teuwen
    http://arxiv.org/abs/2109.05892v1

    • [eess.SP]Graph Attention Network Based Single-Pixel Compressive Direction of Arrival Estimation
    Kürşat Tekbıyık, Okan Yurduseven, Güneş Karabulut Kurt
    http://arxiv.org/abs/2109.05466v1

    • [eess.SP]Link Scheduling using Graph Neural Networks
    Zhongyuan Zhao, Gunjan Verma, Chirag Rao, Ananthram Swami, Santiago Segarra
    http://arxiv.org/abs/2109.05536v1

    • [eess.SP]Multi-User Scheduling in Hybrid Millimeter Wave Massive MIMO Systems
    Seyedeh Maryam Hosseini, Shahram Shahsavari, Catherine Rosenberg
    http://arxiv.org/abs/2109.05681v1

    • [eess.SP]Real-Time EMG Signal Classification via Recurrent Neural Networks
    Reza Bagherian Azhiri, Mohammad Esmaeili, Mehrdad Nourani
    http://arxiv.org/abs/2109.05674v1

    • [eess.SY]Data Generation Method for Learning a Low-dimensional Safe Region in Safe Reinforcement Learning
    Zhehua Zhou, Ozgur S. Oguz, Yi Ren, Marion Leibold, Martin Buss
    http://arxiv.org/abs/2109.05077v1

    • [eess.SY]Interactive multi-modal motion planning with Branch Model Predictive Control
    Yuxiao Chen, Ugo Rosolia, Wyatt Ubellacker, Noel Csomay-Shanklin, Aaron D. Ames
    http://arxiv.org/abs/2109.05128v1

    • [math.NA]Construction of Grid Operators for Multilevel Solvers: a Neural Network Approach
    Claudio Tomasi, Rolf Krause
    http://arxiv.org/abs/2109.05873v1

    • [math.NA]Quasi-Monte Carlo-Based Conditional Malliavin Method for Continuous-Time Asian Option Greeks
    Chao Yu, Xiaoqun Wang
    http://arxiv.org/abs/2109.05279v1

    • [math.OC]Barzilai and Borwein conjugate gradient method equipped with a non-monotone line search technique and its application on non-negative matrix factorization
    Sajad Fathi Hafshejani, Daya Gaur, Shahadat Hossain, Robert Benkoczi
    http://arxiv.org/abs/2109.05685v1

    • [math.OC]Gradients and Subgradients of Buffered Failure Probability
    Johannes O. Royset, Ji-Eun Byun
    http://arxiv.org/abs/2109.05391v1

    • [math.ST]On Some Problems of Confidence Region Construction
    Michael Evans, Miaoshiqi Liu, Michael Moon, Sabrina Sixta, Siyi Wei, Siyue Yang
    http://arxiv.org/abs/2109.05332v1

    • [math.ST]On the consistency and asymptotic normality of multiparameter persistent Betti numbers
    Magnus Bakke Botnan, Christian Hirsch
    http://arxiv.org/abs/2109.05513v1

    • [math.ST]Restricted Hidden Cardinality Constraints in Causal Models
    Beata Zjawin, Elie Wolfe, Robert W. Spekkens
    http://arxiv.org/abs/2109.05656v1

    • [math.ST]The Double-Constant Matrix, Centering Matrix and Equicorrelation Matrix: Theory and Applications
    Ben O’Neill
    http://arxiv.org/abs/2109.05814v1

    • [physics.bio-ph]Bayesian inference of PolII dynamics over the exclusion process
    Massimo Cavallaro, Yuexuan Wang, Daniel Hebenstreit, Ritabrata Dutta
    http://arxiv.org/abs/2109.05100v1

    • [physics.bio-ph]Prediction of gene expression time series and structural analysis of gene regulatory networks using recurrent neural networks
    Michele Monti, Jonathan Fiorentino, Edoardo Milanetti, Giorgio Gosti, Gian Gaetano Tartaglia
    http://arxiv.org/abs/2109.05849v1

    • [physics.comp-ph]Scaling and Acceleration of Three-dimensional Structure Determination for Single-Particle Imaging Experiments with SpiniFEL
    Hsing-Yin Chang, Elliott Slaughter, Seema Mirchandaney, Jeffrey Donatelli, Chun Hong Yoon
    http://arxiv.org/abs/2109.05339v1

    • [physics.geo-ph]MLReal: Bridging the gap between training on synthetic data and real data applications in machine learning
    Tariq Alkhalifah, Hanchen Wang, Oleg Ovcharenko
    http://arxiv.org/abs/2109.05294v1

    • [q-bio.PE]Modelling the Utility of Group Testing for Public Health Surveillance
    Günther Koliander, Georg Pichler
    http://arxiv.org/abs/2109.05378v1

    • [quant-ph]Efficient Noise Mitigation Technique for Quantum Computing
    Ali Shaib, Mohamad H. Naim, Mohammed E. Fouda, Rouwaida Kanj, Fadi Kurdahi
    http://arxiv.org/abs/2109.05136v1

    • [quant-ph]Towards a variational Jordan-Lee-Preskill quantum algorithm
    Junyu Liu, Jinzhao Sun, Xiao Yuan
    http://arxiv.org/abs/2109.05547v1

    • [stat.AP]Bayesian Estimation of the ETAS Model for Earthquake Occurrences
    Gordon J Ross
    http://arxiv.org/abs/2109.05894v1

    • [stat.AP]Decompositions for Sum-of-Power Statistics and the Sample Central Moments
    Ben O’Neill
    http://arxiv.org/abs/2109.05801v1

    • [stat.AP]Microbiome subcommunity learning with logistic-tree normal latent Dirichlet allocation
    Patrick LeBlanc, Li Ma
    http://arxiv.org/abs/2109.05386v1

    • [stat.AP]Multiscale Analysis of Count Data through Topic Alignment
    Julia Fukuyama, Kris Sankaran, Laura Symul
    http://arxiv.org/abs/2109.05541v1

    • [stat.CO]The Permutation-Spectrum Test: Identifying Periodic Signals using the Maximum Fourier Intensity
    Ben O’Neill
    http://arxiv.org/abs/2109.05798v1

    • [stat.ME]Diagnostics for Monte Carlo Algorithms for Models with Intractable Normalizing Functions
    Bokgyeong Kang, John Hughes, Murali Haran
    http://arxiv.org/abs/2109.05121v1

    • [stat.ME]Factor and Idiosyncratic VAR-Ito Volatility Models for Heavy-Tailed High-Frequency Financial Data
    Minseok Shin, Donggyu Kim, Yazhen Wang, Jianqing Fan
    http://arxiv.org/abs/2109.05227v1

    • [stat.ME]Function-on-function partial quantile regression
    Ufuk Beyaztas, Han Lin Shang, Aylin Alin
    http://arxiv.org/abs/2109.05874v1

    • [stat.ME]High-Dimensional Quantile Regression: Convolution Smoothing and Concave Regularization
    Kean Ming Tan, Lan Wang, Wen-Xin Zhou
    http://arxiv.org/abs/2109.05640v1

    • [stat.ME]IQ: Intrinsic measure for quantifying the heterogeneity in meta-analysis
    Ke Yang, Enxuan Lin, Tiejun Tong
    http://arxiv.org/abs/2109.05755v1

    • [stat.ME]Large-scale local surrogate modeling of stochastic simulation experiments
    D Austin Cole, Robert B Gramacy, Mike Ludkovski
    http://arxiv.org/abs/2109.05324v1

    • [stat.ME]Optimal hypergeometric confidence sets are (almost) always intervals
    Jay Bartroff, Gary Lorden, Lijia Wang
    http://arxiv.org/abs/2109.05624v1

    • [stat.ME]PAC Mode Estimation using PPR Martingale Confidence Sequences
    Shubham Anand Jain, Sanit Gupta, Denil Mehta, Inderjeet Jayakumar Nair, Rohan Shah, Jian Vora, Sushil Khyalia, Sourav Das, Vinay J. Ribeiro, Shivaram Kalyanakrishnan
    http://arxiv.org/abs/2109.05047v1

    • [stat.ME]Propensity Score Adapted Covariate Selection for Causal Inference
    Kangjie Zhou, Jinzhu Jia
    http://arxiv.org/abs/2109.05155v1

    • [stat.ME]Regression Analysis of Correlations for Correlated Data
    Jie Hu, Yu Chen, Chenlei Leng, Cheng Yong Tang
    http://arxiv.org/abs/2109.05861v1

    • [stat.ME]Variance Reduction for Causal Inference
    Kangjie Zhou, Jinzhu Jia
    http://arxiv.org/abs/2109.05150v1

    • [stat.ME]Wavelet Shrinkage in Nonparametric Regression Models with Positive Noise
    Alex Rodrigo dos Santos Sousa, Nancy Lopes Garcia
    http://arxiv.org/abs/2109.06102v1

    • [stat.ML]Automatic Componentwise Boosting: An Interpretable AutoML System
    Stefan Coors, Daniel Schalk, Bernd Bischl, David Rügamer
    http://arxiv.org/abs/2109.05583v1

    • [stat.ML]Bayesian Topic Regression for Causal Inference
    Maximilian Ahrens, Julian Ashwin, Jan-Peter Calliess, Vu Nguyen
    http://arxiv.org/abs/2109.05317v1

    • [stat.ML]Differentially Private Variable Selection via the Knockoff Filter
    Mehrdad Pournaderi, Yu Xiang
    http://arxiv.org/abs/2109.05402v1

    • [stat.ML]Estimation of Local Average Treatment Effect by Data Combination
    Kazuhiko Shinoda, Takahiro Hoshino
    http://arxiv.org/abs/2109.05175v1

    • [stat.ML]Inferential Wasserstein Generative Adversarial Networks
    Yao Chen, Qingyi Gao, Xiao Wang
    http://arxiv.org/abs/2109.05652v1

    • [stat.ML]Kernel PCA with the Nyström method
    Fredrik Hallgren
    http://arxiv.org/abs/2109.05578v1

    • [stat.ML]Near Instance Optimal Model Selection for Pure Exploration Linear Bandits
    Yinglun Zhu, Julian Katz-Samuels, Robert Nowak
    http://arxiv.org/abs/2109.05131v1

    • [stat.ML]Nonlinear matrix recovery using optimization on the Grassmann manifold
    Florentin Goyens, Coralia Cartis, Armin Eftekhari
    http://arxiv.org/abs/2109.06095v1