cs.AI - 人工智能
    cs.CL - 计算与语言
    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.DS - 数据结构与算法
    cs.GT - 计算机科学与博弈论
    cs.HC - 人机接口
    cs.IR - 信息检索
    cs.IT - 信息论
    cs.LG - 自动学习
    cs.MA - 多代理系统
    cs.NE - 神经与进化计算
    cs.RO - 机器人学
    cs.SD - 声音处理
    cs.SE - 软件工程
    cs.SI - 社交网络与信息网络
    eess.IV - 图像与视频处理
    eess.SP - 信号处理
    eess.SY - 系统和控制
    math.OC - 优化与控制
    math.ST - 统计理论
    physics.med-ph - 医学物理学
    physics.soc-ph - 物理学与社会
    q-bio.QM - 定量方法
    quant-ph - 量子物理
    stat.AP - 应用统计
    stat.ME - 统计方法论
    stat.ML - (统计)机器学习

    • [cs.AI]Benchmarking the Spectrum of Agent Capabilities
    • [cs.AI]Continuous Homeostatic Reinforcement Learning for Self-Regulated Autonomous Agents
    • [cs.AI]Deceptive Decision-Making Under Uncertainty
    • [cs.AI]Deep hierarchical reinforcement agents for automated penetration testing
    • [cs.AI]Exploration in Deep Reinforcement Learning: A Comprehensive Survey
    • [cs.AI]Learning Density Distribution of Reachable States for Autonomous Systems
    • [cs.AI]Lo
    1000
    gic-level Evidence Retrieval and Graph-based Verification Network for Table-based Fact Verification
    • [cs.AI]MindCraft: Theory of Mind Modeling for Situated Dialogue in Collaborative Tasks
    • [cs.AI]Optimal To-Do List Gamification for Long Term Planning
    • [cs.C
    6e19
    L]A Massively Multilingual Analysis of Cross-linguality in Shared Embedding Space
    • [cs.CL]A Novel Global Feature-Oriented Relational Triple Extraction Model based on Table Filling
    • [cs.CL]A Temporal Variational Model for Story Generation
    • [cs.CL]A system for information extraction from scientific texts in Russian
    • [cs.CL]Adaptive Information Seeking for Open-Domain Question Answering
    • [cs.CL]AligNART: Non-autoregressive Neural Machine Translation by Jointly Learning to Estimate Alignment and Translate
    • [cs.CL]An MRC Framework for Semantic Role Labeling
    • [cs.CL]BenchIE: Open Information Extraction Evaluation Based on Facts, Not Tokens
    • [cs.CL]Broaden the Vision: Geo-Diverse Visual Commonsense Reasoning
    • [cs.CL]Challenging Instances are Worth Learning: Generating Valuable Negative Samples for Response Selection Training
    • [cs.CL]Commonsense-Focused Dialogues for Response Generation: An Empirical Study
    • [cs.CL]Compression, Transduction, and Creation: A Unified Framework for Evaluating Natural Language Generation
    • [cs.CL]Controllable Dialogue Generation with Disentangled Multi-grained Style Specification and Attribute Consistency Reward
    • [cs.CL]Cross-document Event Identity via Dense Annotation
    • [cs.CL]Different Strokes for Different Folks: Investigating Appropriate Further Pre-training Approaches for Diverse Dialogue Tasks
    • [cs.CL]Efficient Inference for Multilingual Neural Machine Translation
    • [cs.CL]Efficient Sampling of Dependency Structures
    • [cs.CL]Evaluating Multiway Multilingual NMT in the Turkic Languages
    • [cs.CL]Evaluating Transferability of BERT Models on Uralic Languages
    • [cs.CL]Everything Is All It Takes: A Multipronged Strategy for Zero-Shot Cross-Lingual Information Extraction
    • [cs.CL]Exploring Personality and Online Social Engagement: An Investigation of MBTI Users on Twitter
    • [cs.CL]Exploring Prompt-based Few-shot Learning for Grounded Dialog Generation
    • [cs.CL]Few-Shot Intent Detection via Contrastive Pre-Training and Fine-Tuning
    • [cs.CL]Gradient Imitation Reinforcement Learning for Low Resource Relation Extraction
    • [cs.CL]Graph Algorithms for Multiparallel Word Alignment
    • [cs.CL]Hunspell for Sorani Kurdish Spell Checking and Morphological Analysis
    • [cs.CL]Identifying Untrustworthy Samples: Data Filtering for Open-domain Dialogues with Bayesian Optimization
    • [cs.CL]Improving Gradient-based Adversarial Training for Text Classification by Contrastive Learning and Auto-Encoder
    • [cs.CL]Improving Zero-shot Cross-lingual Transfer between Closely Related Languages by injecting Character-level Noise
    • [cs.CL]Just What do You Think You’re Doing, Dave?’ A Checklist for Responsible Data Use in NLP
    • [cs.CL]KFCNet: Knowledge Filtering and Contrastive Learning Network for Generative Commonsense Reasoning
    • [cs.CL]KroneckerBERT: Learning Kronecker Decomposition for Pre-trained Language Models via Knowledge Distillation
    • [cs.CL]LM-Critic: Language Models for Unsupervised Grammatical Error Correction
    • [cs.CL]Learning Bill Similarity with Annotated and Augmented Corpora of Bills
    • [cs.CL]Learning Constraints and Descriptive Segmentation for Subevent Detection
    • [cs.CL]Legal Transformer Models May Not Always Help
    • [cs.CL]MDAPT: Multilingual Domain Adaptive Pretraining in a Single Model
    • [cs.CL]Mitigating Catastrophic Forgetting in Scheduled Sampling with Elastic Weight Consolidation in Neural Machine Translation
    • [cs.CL]Mitigating Language-Dependent Ethnic Bias in BERT
    • [cs.CL]Multi-Sentence Resampling: A Simple Approach to Alleviate Dataset Length Bias and Beam-Search Degradation
    • [cs.CL]Multilevel profiling of situation and dialogue-based deep networks for movie genre classification using movie trailers
    • [cs.CL]Netmarble AI Center’s WMT21 Automatic Post-Editing Shared Task Submission
    • [cs.CL]Non-Parametric Unsupervised Domain Adaptation for Neural Machine Translation
    • [cs.CL]Non-autoregressive Transformer with Unified Bidirectional Decoder for Automatic Speech Recognition
    • [cs.CL]Old BERT, New Tricks: Artificial Language Learning for Pre-Trained Language Models
    • [cs.CL]Performance-Efficiency Trade-offs in Unsupervised Pre-training for Speech Recognition
    • [cs.CL]Phrase-BERT: Improved Phrase Embeddings from BERT with an Application to Corpus Exploration
    • [cs.CL]Post-OCR Document Correction with large Ensembles of Character Sequence Models
    • [cs.CL]Question Answering over Electronic Devices: A New Benchmark Dataset and a Multi-Task Learning based QA Framework
    • [cs.CL]Rationales for Sequential Predictions
    • [cs.CL]STraTA: Self-Training with Task Augmentation for Better Few-shot Learning
    • [cs.CL]Semantic Answer Type Prediction using BERT: IAI at the ISWC SMART Task 2020
    • [cs.CL]Sparse Fuzzy Attention for Structural Sentiment Analysis
    • [cs.CL]Summarize-then-Answer: Generating Concise Explanations for Multi-hop Reading Comprehension
    • [cs.CL]Talking Space: inference from spatial linguistic meanings
    • [cs.CL]Task-adaptive Pre-training and Self-training are Complementary for Natural Language Understanding
    • [cs.CL]The Emergence of the Shape Bias Results from Communicative Efficiency
    • [cs.CL]The Perils of Using Mechanical Turk to Evaluate Open-Ended Text Generation
    • [cs.CL]Tribrid: Stance Classification with Neural Inconsistency Detection
    • [cs.CL]Types of Out-of-Distribution Texts and How to Detect Them
    • [cs.CL]Uncertainty-Aware Machine Translation Evaluation
    • [cs.CL]Uncovering Implicit Gender Bias in Narratives through Commonsense Inference
    • [cs.CL]conSultantBERT: Fine-tuned Siamese Sentence-BERT for Matching Jobs and Job Seekers
    • [cs.CL]ePiC: Employing Proverbs in Context as a Benchmark for Abstract Language Understanding
    • [cs.CR]Deep Generative Models to Extend Active Directory Graphs with Honeypot Users
    • [cs.CR]What are the attackers doing now? Automating cyber threat intelligence extraction from text on pace with the changing threat landscape: A survey
    • [cs.CV]A Deep Learning Approach for Masking Fet
    1000
    al Gender in Ultrasound Images
    • [cs.CV]A Semantic Indexing Structure for Image Retrieval
    • [cs.CV]AdaPruner: Adaptive Channel Pruning and Effective Weights Inheritance
    • [cs.CV]Adaptive Proposal Generation Network for Temporal Sentence Localization in Videos
    • [cs.CV]Camera-Tracklet-Aware Contrastive Learning for Unsupervised Vehicle Re-Identification
    • [cs.CV]Can Language Models Encode Perceptual Structure Without Grounding? A Case Study in Color
    • [cs.CV]Cross-Region Domain Adaptation for Class-level Alignment
    • [cs.CV]Dodging Attack Using Carefully Crafted Natural Makeup
    • [cs.CV]Domain Adaptation by Maximizing Population Correlation with Neural Architecture Search
    • [cs.CV]Dynamic Attentive Graph Learning for Image Restoration
    • [cs.CV]From Heatmaps to Structural Explanations of Image Classifiers
    • [cs.CV]High-Fidelity GAN Inversion for Image Attribute Editing
    • [cs.CV]High-Resolution Image Harmonization via Collaborative Dual Transformations
    • [cs.CV]Identifying partial mouse brain microscopy images from Allen reference atlas using a contrastively learned semantic space
    • [cs.CV]Image-Based Alignment of 3D Scans
    • [cs.CV]Improved Few-shot Segmentation by Redifinition of the Roles of Multi-level CNN Features
    • [cs.CV]Incremental Abstraction in Distributed Probabilistic SLAM Graphs
    • [cs.CV]LRWR: Large-Scale Benchmark for Lip Reading in Russian language
    • [cs.CV]Luminance Attentive Networks for HDR Image and Panorama Reconstruction
    • [cs.CV]Monocular Camera Localization for Automated Vehicles Using Image Retrieval
    • [cs.CV]MotionHint: Self-Supervised Monocular Visual Odometrywith Motion Constraints
    • [cs.CV]Multi-Level Features Contrastive Networks for Unsupervised Domain Adaptation
    • [cs.CV]One-Class Meta-Learning: Towards Generalizable Few-Shot Open-Set Classification
    • [cs.CV]POPCORN: Progressive Pseudo-labeling with Consistency Regularization and Neighboring
    • [cs.CV]Progressively Guide to Attend: An Iterative Alignment Framework for Temporal Sentence Grounding
    • [cs.CV]Sampling Network Guided Cross-Entropy Method for Unsupervised Point Cloud Registration
    • [cs.CV]Sensor Adversarial Traits: Analyzing Robustness of 3D Object Detection Sensor Fusion Models
    • [cs.CV]Space Time Recurrent Memory Network
    • [cs.CV]Spiking Neural Networks for Visual Place Recognition via Weighted Neuronal Assignments
    • [cs.CV]Tesla-Rapture: A Lightweight Gesture Recognition System from mmWave Radar Point Clouds
    • [cs.CV]Vision-based system identification and 3D keypoint discovery using dynamics constraints
    • [cs.CY]Fairness and Data Protection Impact Assessments
    • [cs.CY]Project 412Connect: Bridging Students and Communities
    • [cs.DB]Cardinality Estimation in DBMS: A Comprehensive Benchmark Evaluation
    • [cs.DB]ML Based Lineage in Databases
    • [cs.DC]Beyond Distributed Subgraph Detection: Induced Subgraphs, Multicolored Problems and Graph Parameters
    • [cs.DC]Egalitarian Byzantine Fault Tolerance
    • [cs.DL]Learning to Drive on the Wrong Side of the Road: How American Computing Came to Rely on Conferences for Primary Publication
    • [cs.DL]The correlation coefficient between citation metrics and winning a Nobel or Abel Prize
    • [cs.DS]Distributed Vertex Cover Reconfiguration
    • [cs.DS]Online Algorithms with Lookaround
    • [cs.GT]Machine-Learned Prediction Equilibrium for Dynamic Traffic Assignment
    • [cs.HC]The Impact of User Demographics and Task Types on Cross-App Mobile Search
    • [cs.IR]ARGO: Modeling Heterogeneity in E-commerce Recommendation
    • [cs.IR]BERT for Target Apps Selection: Analyzing the Diversity and Performance of BERT in Unified Mobile Search
    • [cs.IR]Detecting Layout Templates in Complex Multiregion Files
    • [cs.IR]MMCoVaR: Multimodal COVID-19 Vaccine Focused Data Repository for Fake News Detection and a Baseline Architecture for Classification
    • [cs.IR]Position Paper on Simulating Privacy Dynamics in Recommender Systems
    • [cs.IR]Sequential Modelling with Applications to Music Recommendation, Fact-Checking, and Speed Reading
    • [cs.IR]Statistical Inference: The Missing Piece of RecSys Experiment Reliability Discourse
    • [cs.IR]YES SIR!Optimizing Semantic Space of Negatives with Self-Involvement Ranker
    • [cs.IT]A graph complexity measure based on the spectral analysis of the Laplace operator
    • [cs.IT]Fast Federated Edge Learning with Overlapped Communication and Computation and Channel-Aware Fair Client Scheduling
    • [cs.IT]Linear block and convolutional MDS codes to required rate, distance and type
    • [cs.IT]New Extremal Binary Self-Dual Codes of Length 72 from 今日学术视野(2021.9.16) - 图1G#card=math&code=M_6%28%5Cmathbb%7BF%7D_2%29G&id=xAC8L) - Group Matrix Rings by a Hybrid Search Technique Based on a Neighbourhood-Virus Optimisation Algorithm
    • [cs.IT]On Decentralized Multi-Transmitter Coded Caching
    • [cs.IT]On Distributed Learning with Constant Communication Bits
    • [cs.IT]On the Age of Information of a Queuing System with Heterogeneous Servers
    • [cs.IT]Statistical limits of dictionary learning: random matrix theory and the spectral replica method
    • [cs.IT]Timely Status Updating Over Erasure Channels Using an Energy Harvesting Sensor: Single and Multiple Sources
    • [cs.LG]A Practical Adversarial Attack on Contingency Detection of Smart Energy Systems
    • [cs.LG]A machine-learning framework for daylight and visual comfort assessment in early design stages
    • [cs.LG]A pragmatic approach to estimating average treatment effects from EHR data: the effect of prone positioning on mechanically ventilated COVID-19 patients
    • [cs.LG]Achieving Zero Constraint Violation for Constrained Reinforcement Learning via Primal-Dual Approach
    • [cs.LG]Anomaly Attribution of Multivariate Time Series using Counterfactual Reasoning
    • [cs.LG]Automatic Tuning of Tensorflow’s CPU Backend using Gradient-Free Optimization Algorithms
    • [cs.LG]COVID-Net Clinical ICU: Enhanced Prediction of ICU Admission for COVID-19 Patients via Explainability and Trust Quantification
    • [cs.LG]Complexity-aware Adaptive Training and Inference for Edge-Cloud Distributed AI Systems
    • [cs.LG]Conditional Synthetic Data Generation for Robust Machine Learning Applications with Limited Pandemic Data
    • [cs.LG]DSDF: An approach to handle stochastic agents in collaborative multi-agent reinforcement learning
    • [cs.LG]Deep Denerative Models for Drug Design and Response
    • [cs.LG]Expert Knowledge-Guided Length-Variant Hierarchical Label Generation for Proposal Classification
    • [cs.LG]Exploring the Connection between Knowledge Distillation and Logits Matching
    • [cs.LG]Exploring the Long Short-Term Dependencies to Infer Shot Influence in Badminton Matches
    • [cs.LG]Few-shot Quality-Diversity Optimisation
    • [cs.LG]Formalizing and Estimating Distribution Inference Risks
    • [cs.LG]Greenformer: Factorization Toolkit for Efficient Deep Neural Networks
    • [cs.LG]HPOBench: A Collection of Reproducible Multi-Fidelity Benchmark Problems for HPO
    • [cs.LG]IGNNITION: Bridging the Gap Between Graph Neural Networks and Networking Systems
    • [cs.LG]Instance-wise Graph-based Framework for Multivariate Time Series Forecasting
    • [cs.LG]Knowledge-guided Self-supervised Learning for estimating River-Basin Characteristics
    • [cs.LG]Machine Learning for Online Algorithm Selection under Censored Feedback
    • [cs.LG]Mitigating Sampling Bias and Improving Robustness in Active Learning
    • [cs.LG]Multiple shooting with neural differential equations
    • [cs.LG]Neural Networks with Physics-Informed Architectures and Constraints for Dynamical Systems Modeling
    • [cs.LG]Nonlinearities in Steerable SO(2)-Equivariant CNNs
    • [cs.LG]PETGEN: Personalized Text Generation Attack on Deep Sequence Embedding-based Classification Models
    • [cs.LG]Policy Optimization Using Semiparametric Models for Dynamic Pricing
    • [cs.LG]Pre-emptive learning-to-defer for sequential medical decision-making under uncertainty
    • [cs.LG]Predicting Loss Risks for B2B Tendering Processes
    • [cs.LG]Program-to-Circuit: Exploiting GNNs for Program Representation and Circuit Translation
    • [cs.LG]ROMAX: Certifiably Robust Deep Multiagent Reinforcement Learning via Convex Relaxation
    • [cs.LG]Simulations in Recommender Systems: An industry perspective
    • [cs.LG]State Relevance for Off-Policy Evaluation
    • [cs.LG]Sum-Product-Attention Networks: Leveraging Self-Attention in Probabilistic Circuits
    • [cs.LG]Theoretical Guarantees of Fictitious Discount Algorithms for Episodic Reinforcement Learning and Global Convergence of Policy Gradient Methods
    • [cs.LG]Towards Better Model Understanding with Path-Sufficient Explanations
    • [cs.LG]Towards optimized actions in critical situations of soccer games with deep reinforcement learning
    • [cs.LG]Variation-Incentive Loss Re-weighting for Regression Analysis on Biased Data
    • [cs.LG]Vision Transformer for Learning Driving Policies in Complex Multi-Agent Environments
    • [cs.MA]Reactive and Safe Road User Simulations using Neural Barrier Certificates
    • [cs.NE]Automatic hippocampal surface generation via 3D U-net and active shape modeling with hybrid particle swarm optimization
    • [cs.NE]Choosing the Right Algorithm With Hints From Complexity Theory
    • [cs.RO]A Hierarchical Control Framework for Drift Maneuvering of Autonomous Vehicles
    • [cs.RO]Adaptive Constrained Kinematic Control using Partial or Complete Task-Space Measurements
    • [cs.RO]Comparing Reconstruction- and Contrastive-based Models for Visual Task Planning
    • [cs.RO]Dependability Analysis of Deep Reinforcement Learning based Robotics and Autonomous Systems
    • [cs.RO]Design and Model Predictive Control of Mars Coaxial Quadrotor
    • [cs.RO]Designing Multi-Stage Coupled Convex Programming with Data-Driven McCormick Envelope Relaxations for Motion Planning
    • [cs.RO]Detecting Safety Problems of Multi-Sensor Fusion in Autonomous Driving
    • [cs.RO]Extended Version of GTGraffiti: Spray Painting Graffiti Art from Human Painting Motions with a Cable Driven Parallel Robot
    • [cs.RO]Fast and Accurate Extrinsic Calibration for Multiple LiDARs and Cameras
    • [cs.RO]GALOPP: Multi-Agent Deep Reinforcement Learning For Persistent Monitoring With Localization Constraints
    • [cs.RO]GPGM-SLAM: a Robust SLAM System for Unstructured Planetary Environments with Gaussian Process Gradient Maps
    • [cs.RO]Geometric analysis of gaits and optimal control for three-link kinematic swimmers
    • [cs.RO]Large-scale Autonomous Flight with Real-time Semantic SLAM under Dense Forest Canopy
    • [cs.RO]Learning Based Adaptive Force Control of Robotic Manipulation Based on Real-Time Object Stiffness Detection
    • [cs.RO]Learning to Navigate Intersections with Unsupervised Driver Trait Inference
    • [cs.RO]Multi-modal Motion Prediction with Transformer-based Neural Network for Autonomous Driving
    • [cs.RO]Object Shell Reconstruction: Camera-centric Object Representation for Robotic Grasping
    • [cs.RO]Obstacle Avoidance for Autonomous Mobile Robots Based on Mapping Method
    • [cs.RO]Reinforcement Learning with Evolutionary Trajectory Generator: A General Approach for Quadrupedal Locomotion
    • [cs.RO]Rethinking Trust in Social Robotics
    • [cs.RO]TTM: Terrain Traversability Mapping for Autonomous Excavator Navigation in Unstructured Environments
    • [cs.RO]Tracking Control foe Multi-Agent Systems Using Broadcast Signals Based on Positive Realness
    • [cs.RO]Unified Kinematic and Dynamical Modeling of a Soft Robotic Arm by a Piecewise Universal Joint Model
    • [cs.RO]safe-control-gym: a Unified Benchmark Suite for Safe Learning-based Control and Reinforcement Learning
    • [cs.SD]A Machine-learning Framework for Acoustic Design Assessment in Early Design Stages
    • [cs.SD]Structure-Enhanced Pop Music Generation via Harmony-Aware Learning
    • [cs.SE]Developers Who Vlog: Dismantling Stereotypes through Community and Identity
    • [cs.SE]Improving Test Case Generation for REST APIs Through Hierarchical Clustering
    • [cs.SI]Los fact-checkers iberoamericanos frente a la COVID-19. Análisis de actividad en Facebook / The Ibero-American fact-checkers facing the COVID-19. Analysis of activity on Facebook
    • [eess.IV]3-Dimensional Deep Learning with Spatial Erasing for Unsupervised Anomaly Segmentation in Brain MRI
    • [eess.IV]COVID-Net MLSys: Designing COVID-Net for the Clinical Workflow
    • [eess.IV]Cross-Modality Domain Adaptation for Vestibular Schwannoma and Cochlea Segmentation
    • [eess.IV]Dense Deep Unfolding Network with 3D-CNN Prior for Snapshot Compressive Imaging
    • [eess.IV]ImUnity: a generalizable VAE-GAN solution for multicenter MR image harmonization
    • [eess.IV]ImUnity: a generalizable VAE-GAN solution for multicenter MR image harmonization
    • [eess.IV]Multi-Scale Input Strategies for Medulloblastoma Tumor Classification using Deep Transfer Learning
    • [eess.IV]Physics Driven Domain Specific Transporter Framework with Attention Mechanism for Ultrasound Imaging
    • [eess.SP]Bayesian AirComp with Sign-Alignment Precoding for Wireless Federated Learning
    • [eess.SP]On the Correlation between the Noise and a Priori Error Vectors in Affine Projection Algorithms
    • [eess.SY]Safe Nonlinear Control Using Robust Neural Lyapunov-Barrier Functions
    • [eess.SY]Stochastic Observer for SLAM on the Lie Group
    • [math.OC]On the regularized risk of distributionally robust learning over deep neural networks
    • [math.OC]Performance of a Markovian neural network versus dynamic programming on a fishing control problem
    • [math.ST]A Wasserstein index of dependence for random measures
    • [math.ST]Gibbs posterior inference on a Levy density under discrete sampling
    • [math.ST]Parametric Modeling Approach to COVID-19 Pandemic Data
    • [math.ST]Tail bounds for empirically standardized sums
    • [physics.med-ph]An Apparatus for the Simulation of Breathing Disorders: Physically Meaningful Generation of Surrogate Data
    • [physics.soc-ph]Information Cocoons in Online Navigation
    • [q-bio.QM]Specified Certainty Classification, with Application to Read Classification for Reference-Guided Metagenomic Assembly
    • [quant-ph]Distilling GHZ States using Stabilizer Codes
    • [quant-ph]QKD parameter estimation by two-universal hashing leads to faster convergence to the asymptotic rate
    • [stat.AP]Transformation-based generalized spatial regression using the spmoran package: Case study examples
    • [stat.ME]Asymptotic normality for eigenvalue statistics of a general sample covariance matrix when 今日学术视野(2021.9.16) - 图2 and applications
    • [stat.ME]Bayesian model-based outlier detection in network meta-analysis
    • [stat.ME]Competing Risks Regression for Clustered Data via the Marginal Additive Subdistribution Hazard Model
    • [stat.ME]Quantile Mixed Hidden Markov Models for multivariate longitudinal data
    • [stat.ME]Using Clinical Experts Beliefs to Compare Survival Models in Health Technology Assessment
    • [stat.ML]A geometric perspective on functional outlier detection
    • [stat.ML]Differentially Private Variable Selection via the Knockoff Filter
    • [stat.ML]Tuna-AI: tuna biomass estimation with Machine Learning models trained on oceanography and echosounder FAD data

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

    • [cs.AI]Benchmarking the Spectrum of Agent Capabilities
    Danijar Hafner
    http://arxiv.org/abs/2109.06780v1

    • [cs.AI]Continuous Homeostatic Reinforcement Learning for Self-Regulated Autonomous Agents
    Hugo Laurençon, Charbel-Raphaël Ségerie, Johann Lussange, Boris S. Gutkin
    http://arxiv.org/abs/2109.06580v1

    • [cs.AI]Deceptive Decision-Making Under Uncertainty
    Yagiz Savas, Christos K. Verginis, Ufuk Topcu
    http://arxiv.org/abs/2109.06740v1

    • [cs.AI]Deep hierarchical reinforcement agents for automated penetration testing
    Khuong Tran, Ashlesha Akella, Maxwell Standen, Junae Kim, David Bowman, Toby Richer, Chin-Teng Lin
    http://arxiv.org/abs/2109.06449v1

    • [cs.AI]Exploration in Deep Reinforcement Learning: A Comprehensive Survey
    Tianpei Yang, Hongyao Tang, Chenjia Bai, Jinyi Liu, Jianye Hao, Zhaopeng Meng, Peng Liu
    http://arxiv.org/abs/2109.06668v1

    • [cs.AI]Learning Density Distribution of Reachable States for Autonomous Systems
    Yue Meng, Dawei Sun, Zeng Qiu, Md Tawhid Bin Waez, Chuchu Fan
    http://arxiv.org/abs/2109.06728v1

    • [cs.AI]Lo
    1000
    gic-level Evidence Retrieval and Graph-based Verification Network for Table-based Fact Verification
    Qi Shi, Yu Zhang, Qingyu Yin, Ting Liu
    http://arxiv.org/abs/2109.06480v1

    • [cs.AI]MindCraft: Theory of Mind Modeling for Situated Dialogue in Collaborative Tasks
    Cristian-Paul Bara, Sky CH-Wang, Joyce Chai
    http://arxiv.org/abs/2109.06275v1

    • [cs.AI]Optimal To-Do List Gamification for Long Term Planning
    Saksham Consul, Jugoslav Stojcheski, Valkyrie Felso, Falk Lieder
    http://arxiv.org/abs/2109.06505v1

    • [cs.C
    6e19
    L]A Massively Multilingual Analysis of Cross-linguality in Shared Embedding Space
    Alex Jones, William Yang Wang, Kyle Mahowald
    http://arxiv.org/abs/2109.06324v1

    • [cs.CL]A Novel Global Feature-Oriented Relational Triple Extraction Model based on Table Filling
    Feiliang Ren, Longhui Zhang, Shujuan Yin, Xiaofeng Zhao, Shilei Liu, Bochao Li, Yaduo Liu
    http://arxiv.org/abs/2109.06705v1

    • [cs.CL]A Temporal Variational Model for Story Generation
    David Wilmot, Frank Keller
    http://arxiv.org/abs/2109.06807v1

    • [cs.CL]A system for information extraction from scientific texts in Russian
    Elena Bruches, Anastasia Mezentseva, Tatiana Batura
    http://arxiv.org/abs/2109.06703v1

    • [cs.CL]Adaptive Information Seeking for Open-Domain Question Answering
    Yunchang Zhu, Liang Pang, Yanyan Lan, Huawei Shen, Xueqi Cheng
    http://arxiv.org/abs/2109.06747v1

    • [cs.CL]AligNART: Non-autoregressive Neural Machine Translation by Jointly Learning to Estimate Alignment and Translate
    Jongyoon Song, Sungwon Kim, Sungroh Yoon
    http://arxiv.org/abs/2109.06481v1

    • [cs.CL]An MRC Framework for Semantic Role Labeling
    Nan Wang, Jiwei Li, Yuxian Meng, Xiaofei Sun, Jun He
    http://arxiv.org/abs/2109.06660v1

    • [cs.CL]BenchIE: Open Information Extraction Evaluation Based on Facts, Not Tokens
    Kiril Gashteovski, Mingying Yu, Bhushan Kotnis, Carolin Lawrence, Goran Glavas, Mathias Niepert
    http://arxiv.org/abs/2109.06850v1

    • [cs.CL]Broaden the Vision: Geo-Diverse Visual Commonsense Reasoning
    Da Yin, Liunian Harold Li, Ziniu Hu, Nanyun Peng, Kai-Wei Chang
    http://arxiv.org/abs/2109.06860v1

    • [cs.CL]Challenging Instances are Worth Learning: Generating Valuable Negative Samples for Response Selection Training
    Yao Qiu, Jinchao Zhang, Huiying Ren, Jie Zhou
    http://arxiv.org/abs/2109.06538v1

    • [cs.CL]Commonsense-Focused Dialogues for Response Generation: An Empirical Study
    Pei Zhou, Karthik Gopalakrishnan, Behnam Hedayatnia, Seokhwan Kim, Jay Pujara, Xiang Ren, Yang Liu, Dilek Hakkani-Tur
    http://arxiv.org/abs/2109.06427v1

    • [cs.CL]Compression, Transduction, and Creation: A Unified Framework for Evaluating Natural Language Generation
    Mingkai Deng, Bowen Tan, Zhengzhong Liu, Eric P. Xing, Zhiting Hu
    http://arxiv.org/abs/2109.06379v1

    • [cs.CL]Controllable Dialogue Generation with Disentangled Multi-grained Style Specification and Attribute Consistency Reward
    Zhe Hu, Zhiwei Cao, Hou Pong Chan, Jiachen Liu, Xinyan Xiao, Jinsong Su, Hua Wu
    http://arxiv.org/abs/2109.06717v1

    • [cs.CL]Cross-document Event Identity via Dense Annotation
    Adithya Pratapa, Zhengzhong Liu, Kimihiro Hasegawa, Linwei Li, Yukari Yamakawa, Shikun Zhang, Teruko Mitamura
    http://arxiv.org/abs/2109.06417v1

    • [cs.CL]Different Strokes for Different Folks: Investigating Appropriate Further Pre-training Approaches for Diverse Dialogue Tasks
    Yao Qiu, Jinchao Zhang, Jie Zhou
    http://arxiv.org/abs/2109.06524v1

    • [cs.CL]Efficient Inference for Multilingual Neural Machine Translation
    Alexandre Berard, Dain Lee, Stéphane Clinchant, Kweonwoo Jung, Vassilina Nikoulina
    http://arxiv.org/abs/2109.06679v1

    • [cs.CL]Efficient Sampling of Dependency Structures
    Ran Zmigrod, Tim Vieira, Ryan Cotterell
    http://arxiv.org/abs/2109.06521v1

    • [cs.CL]Evaluating Multiway Multilingual NMT in the Turkic Languages
    Jamshidbek Mirzakhalov, Anoop Babu, Aigiz Kunafin, Ahsan Wahab, Behzod Moydinboyev, Sardana Ivanova, Mokhiyakhon Uzokova, Shaxnoza Pulatova, Duygu Ataman, Julia Kreutzer, Francis Tyers, Orhan Firat, John Licato, Sriram Chellappan
    http://arxiv.org/abs/2109.06262v1

    • [cs.CL]Evaluating Transferability of BERT Models on Uralic Languages
    Judit Ács, Dániel Lévai, András Kornai
    http://arxiv.org/abs/2109.06327v1

    • [cs.CL]Everything Is All It Takes: A Multipronged Strategy for Zero-Shot Cross-Lingual Information Extraction
    Mahsa Yarmohammadi, Shijie Wu, Marc Marone, Haoran Xu, Seth Ebner, Guanghui Qin, Yunmo Chen, Jialiang Guo, Craig Harman, Kenton Murray, Aaron Steven White, Mark Dredze, Benjamin Van Durme
    http://arxiv.org/abs/2109.06798v1

    • [cs.CL]Exploring Personality and Online Social Engagement: An Investigation of MBTI Users on Twitter
    Partha Kadambi
    http://arxiv.org/abs/2109.06402v1

    • [cs.CL]Exploring Prompt-based Few-shot Learning for Grounded Dialog Generation
    Chujie Zheng, Minlie Huang
    http://arxiv.org/abs/2109.06513v1

    • [cs.CL]Few-Shot Intent Detection via Contrastive Pre-Training and Fine-Tuning
    Jianguo Zhang, Trung Bui, Seunghyun Yoon, Xiang Chen, Zhiwei Liu, Congying Xia, Quan Hung Tran, Walter Chang, Philip Yu
    http://arxiv.org/abs/2109.06349v1

    • [cs.CL]Gradient Imitation Reinforcement Learning for Low Resource Relation Extraction
    Xuming Hu, Chenwei Zhang, Yawen Yang, Xiaohe Li, Li Lin, Lijie Wen, Philip S. Yu
    http://arxiv.org/abs/2109.06415v1

    • [cs.CL]Graph Algorithms for Multiparallel Word Alignment
    Ayyoob Imani, Masoud Jalili Sabet, Lütfi Kerem Şenel, Philipp Dufter, François Yvon, Hinrich Schütze
    http://arxiv.org/abs/2109.06283v1

    • [cs.CL]Hunspell for Sorani Kurdish Spell Checking and Morphological Analysis
    Sina Ahmadi
    http://arxiv.org/abs/2109.06374v1

    • [cs.CL]Identifying Untrustworthy Samples: Data Filtering for Open-domain Dialogues with Bayesian Optimization
    Lei Shen, Haolan Zhan, Xin Shen, Hongshen Chen, Xiaofang Zhao, Xiaodan Zhu
    http://arxiv.org/abs/2109.06471v1

    • [cs.CL]Improving Gradient-based Adversarial Training for Text Classification by Contrastive Learning and Auto-Encoder
    Yao Qiu, Jinchao Zhang, Jie Zhou
    http://arxiv.org/abs/2109.06536v1

    • [cs.CL]Improving Zero-shot Cross-lingual Transfer between Closely Related Languages by injecting Character-level Noise
    Noëmi Aepli, Rico Sennrich
    http://arxiv.org/abs/2109.06772v1

    • [cs.CL]Just What do You Think You’re Doing, Dave?’ A Checklist for Responsible Data Use in NLP
    Anna Rogers, Tim Baldwin, Kobi Leins
    http://arxiv.org/abs/2109.06598v1

    • [cs.CL]KFCNet: Knowledge Filtering and Contrastive Learning Network for Generative Commonsense Reasoning
    Haonan Li, Yeyun Gong, Jian Jiao, Ruofei Zhang, Timothy Baldwin, Nan Duan
    http://arxiv.org/abs/2109.06704v1

    • [cs.CL]KroneckerBERT: Learning Kronecker Decomposition for Pre-trained Language Models via Knowledge Distillation
    Marzieh S. Tahaei, Ella Charlaix, Vahid Partovi Nia, Ali Ghodsi, Mehdi Rezagholizadeh
    http://arxiv.org/abs/2109.06243v1

    • [cs.CL]LM-Critic: Language Models for Unsupervised Grammatical Error Correction
    Michihiro Yasunaga, Jure Leskovec, Percy Liang
    http://arxiv.org/abs/2109.06822v1

    • [cs.CL]Learning Bill Similarity with Annotated and Augmented Corpora of Bills
    Jiseon Kim, Elden Griggs, In Song Kim, Alice Oh
    http://arxiv.org/abs/2109.06527v1

    • [cs.CL]Learning Constraints and Descriptive Segmentation for Subevent Detection
    Haoyu Wang, Hongming Zhang, Muhao Chen, Dan Roth
    http://arxiv.org/abs/2109.06316v1

    • [cs.CL]Legal Transformer Models May Not Always Help
    Sakbo Geng, Rémi Lebret, Karl Aberer
    http://arxiv.org/abs/2109.06862v1

    • [cs.CL]MDAPT: Multilingual Domain Adaptive Pretraining in a Single Model
    Rasmus Kær Jørgensen, Mareike Hartmann, Xiang Dai, Desmond Elliott
    http://arxiv.org/abs/2109.06605v1

    • [cs.CL]Mitigating Catastrophic Forgetting in Scheduled Sampling with Elastic Weight Consolidation in Neural Machine Translation
    Michalis Korakakis, Andreas Vlachos
    http://arxiv.org/abs/2109.06308v1

    • [cs.CL]Mitigating Language-Dependent Ethnic Bias in BERT
    Jaimeen Ahn, Alice Oh
    http://arxiv.org/abs/2109.05704v2

    • [cs.CL]Multi-Sentence Resampling: A Simple Approach to Alleviate Dataset Length Bias and Beam-Search Degradation
    Ivan Provilkov, Andrey Malinin
    http://arxiv.org/abs/2109.06253v1

    • [cs.CL]Multilevel profiling of situation and dialogue-based deep networks for movie genre classification using movie trailers
    Dinesh Kumar Vishwakarma, Mayank Jindal, Ayush Mittal, Aditya Sharma
    http://arxiv.org/abs/2109.06488v1

    • [cs.CL]Netmarble AI Center’s WMT21 Automatic Post-Editing Shared Task Submission
    Shinhyeok Oh, Sion Jang, Hu Xu, Shounan An, Insoo Oh
    http://arxiv.org/abs/2109.06515v1

    • [cs.CL]Non-Parametric Unsupervised Domain Adaptation for Neural Machine Translation
    Xin Zheng, Zhirui Zhang, Shujian Huang, Boxing Chen, Jun Xie, Weihua Luo, Jiajun Chen
    http://arxiv.org/abs/2109.06604v1

    • [cs.CL]Non-autoregressive Transformer with Unified Bidirectional Decoder for Automatic Speech Recognition
    Chuan-Fei Zhang, Yan Liu, Tian-Hao Zhang, Song-Lu Chen, Feng Chen, Xu-Cheng Yin
    http://arxiv.org/abs/2109.06684v1

    • [cs.CL]Old BERT, New Tricks: Artificial Language Learning for Pre-Trained Language Models
    Lisa Bylinina, Alexey Tikhonov, Ekaterina Garmash
    http://arxiv.org/abs/2109.06333v1

    • [cs.CL]Performance-Efficiency Trade-offs in Unsupervised Pre-training for Speech Recognition
    Felix Wu, Kwangyoun Kim, Jing Pan, Kyu Han, Kilian Q. Weinberger, Yoav Artzi
    http://arxiv.org/abs/2109.06870v1

    • [cs.CL]Phrase-BERT: Improved Phrase Embeddings from BERT with an Application to Corpus Exploration
    Shufan Wang, Laure Thompson, Mohit Iyyer
    http://arxiv.org/abs/2109.06304v1

    • [cs.CL]Post-OCR Document Correction with large Ensembles of Character Sequence Models
    Juan Ramirez-Orta, Eduardo Xamena, Ana Maguitman, Evangelos Milios, Axel J. Soto
    http://arxiv.org/abs/2109.06264v1

    • [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/2109.05897v2

    • [cs.CL]Rationales for Sequential Predictions
    Keyon Vafa, Yuntian Deng, David M. Blei, Alexander M. Rush
    http://arxiv.org/abs/2109.06387v1

    • [cs.CL]STraTA: Self-Training with Task Augmentation for Better Few-shot Learning
    Tu Vu, Minh-Thang Luong, Quoc V. Le, Grady Simon, Mohit Iyyer
    http://arxiv.org/abs/2109.06270v1

    • [cs.CL]Semantic Answer Type Prediction using BERT: IAI at the ISWC SMART Task 2020
    Vinay Setty, Krisztian Balog
    http://arxiv.org/abs/2109.06714v1

    • [cs.CL]Sparse Fuzzy Attention for Structural Sentiment Analysis
    Letain Peng, Zuchao Li, Hai Zhao
    http://arxiv.org/abs/2109.06719v1

    • [cs.CL]Summarize-then-Answer: Generating Concise Explanations for Multi-hop Reading Comprehension
    Naoya Inoue, Harsh Trivedi, Steven Sinha, Niranjan Balasubramanian, Kentaro Inui
    http://arxiv.org/abs/2109.06853v1

    • [cs.CL]Talking Space: inference from spatial linguistic meanings
    Vincent Wang-Mascianica, Bob Coecke
    http://arxiv.org/abs/2109.06554v1

    • [cs.CL]Task-adaptive Pre-training and Self-training are Complementary for Natural Language Understanding
    Shiyang Li, Semih Yavuz, Wenhu Chen, Xifeng Yan
    http://arxiv.org/abs/2109.06466v1

    • [cs.CL]The Emergence of the Shape Bias Results from Communicative Efficiency
    Eva Portelance, Michael C. Frank, Dan Jurafsky, Alessandro Sordoni, Romain Laroche
    http://arxiv.org/abs/2109.06232v1

    • [cs.CL]The Perils of Using Mechanical Turk to Evaluate Open-Ended Text Generation
    Marzena Karpinska, Nader Akoury, Mohit Iyyer
    http://arxiv.org/abs/2109.06835v1

    • [cs.CL]Tribrid: Stance Classification with Neural Inconsistency Detection
    Song Yang, Jacopo Urbani
    http://arxiv.org/abs/2109.06508v1

    • [cs.CL]Types of Out-of-Distribution Texts and How to Detect Them
    Udit Arora, William Huang, He He
    http://arxiv.org/abs/2109.06827v1

    • [cs.CL]Uncertainty-Aware Machine Translation Evaluation
    Taisiya Glushkova, Chrysoula Zerva, Ricardo Rei, André F. T. Martins
    http://arxiv.org/abs/2109.06352v1

    • [cs.CL]Uncovering Implicit Gender Bias in Narratives through Commonsense Inference
    Tenghao Huang, Faeze Brahman, Vered Shwartz, Snigdha Chaturvedi
    http://arxiv.org/abs/2109.06437v1

    • [cs.CL]conSultantBERT: Fine-tuned Siamese Sentence-BERT for Matching Jobs and Job Seekers
    Dor Lavi, Volodymyr Medentsiy, David Graus
    http://arxiv.org/abs/2109.06501v1

    • [cs.CL]ePiC: Employing Proverbs in Context as a Benchmark for Abstract Language Understanding
    Sayan Ghosh, Shashank Srivastava
    http://arxiv.org/abs/2109.06838v1

    • [cs.CR]Deep Generative Models to Extend Active Directory Graphs with Honeypot Users
    Ondrej Lukas, Sebastian Garcia
    http://arxiv.org/abs/2109.06180v1

    • [cs.CR]What are the attackers doing now? Automating cyber threat intelligence extraction from text on pace with the changing threat landscape: A survey
    Md Rayhanur Rahman, Rezvan Mahdavi-Hezaveh, Laurie Williams
    http://arxiv.org/abs/2109.06808v1

    • [cs.CV]A Deep Learning Approach for Masking Fet
    1000
    al Gender in Ultrasound Images
    Amit Borundiya, Arshak Navruzyan, Dennis Igoschev, Feras C. Oughali, Hemanth Pasupuleti, Mike Fuller, Vinay Kanigicherla, T S Aniruddha Kashyap, Rishabh Chaurasia, Sonali Vinod Jain
    http://arxiv.org/abs/2109.06790v1

    • [cs.CV]A Semantic Indexing Structure for Image Retrieval
    Ying Wang, Tingzhen Liu, Zepeng Bu, Yuhui Huang, Lizhong Gao, Qiao Wang
    http://arxiv.org/abs/2109.06583v1

    • [cs.CV]AdaPruner: Adaptive Channel Pruning and Effective Weights Inheritance
    Xiangcheng Liu, Jian Cao, Hongyi Yao, Wenyu Sun, Yuan Zhang
    http://arxiv.org/abs/2109.06397v1

    • [cs.CV]Adaptive Proposal Generation Network for Temporal Sentence Localization in Videos
    Daizong Liu, Xiaoye Qu, Jianfeng Dong, Pan Zhou
    http://arxiv.org/abs/2109.06398v1

    • [cs.CV]Camera-Tracklet-Aware Contrastive Learning for Unsupervised Vehicle Re-Identification
    Jongmin Yu, Junsik Kim, Minkyung Kim, Hyeontaek Oh
    http://arxiv.org/abs/2109.06401v1

    • [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/2109.06129v2

    • [cs.CV]Cross-Region Domain Adaptation for Class-level Alignment
    Zhijie Wang, Xing Liu, Masanori Suganuma, Takayuki Okatani
    http://arxiv.org/abs/2109.06422v1

    • [cs.CV]Dodging Attack Using Carefully Crafted Natural Makeup
    Nitzan Guetta, Asaf Shabtai, Inderjeet Singh, Satoru Momiyama, Yuval Elovici
    http://arxiv.org/abs/2109.06467v1

    • [cs.CV]Domain Adaptation by Maximizing Population Correlation with Neural Architecture Search
    Zhixiong Yue, Pengxin Guo, Yu Zhang
    http://arxiv.org/abs/2109.06652v1

    • [cs.CV]Dynamic Attentive Graph Learning for Image Restoration
    Chong Mou, Jian Zhang, Zhuoyuan Wu
    http://arxiv.org/abs/2109.06620v1

    • [cs.CV]From Heatmaps to Structural Explanations of Image Classifiers
    Li Fuxin, Zhongang Qi, Saeed Khorram, Vivswan Shitole, Prasad Tadepalli, Minsuk Kahng, Alan Fern
    http://arxiv.org/abs/2109.06365v1

    • [cs.CV]High-Fidelity GAN Inversion for Image Attribute Editing
    Tengfei Wang, Yong Zhang, Yanbo Fan, Jue Wang, Qifeng Chen
    http://arxiv.org/abs/2109.06590v1

    • [cs.CV]High-Resolution Image Harmonization via Collaborative Dual Transformations
    Wenyan Cong, Xinhao Tao, Li Niu, Jing Liang, Xuesong Gao, Qihao Sun, Liqing Zhang
    http://arxiv.org/abs/2109.06671v1

    • [cs.CV]Identifying partial mouse brain microscopy images from Allen reference atlas using a contrastively learned semantic space
    Justinas Antanavicius, Roberto Leiras Gonzalez, Raghavendra Selvan
    http://arxiv.org/abs/2109.06662v1

    • [cs.CV]Image-Based Alignment of 3D Scans
    Dolores Messer, Jakob Wilm, Eythor R. Eiriksson, Vedrana A. Dahl, Anders B. Dahl
    http://arxiv.org/abs/2109.06526v1

    • [cs.CV]Improved Few-shot Segmentation by Redifinition of the Roles of Multi-level CNN Features
    Zhijie Wang, Masanori Suganuma, Takayuki Okatani
    http://arxiv.org/abs/2109.06432v1

    • [cs.CV]Incremental Abstraction in Distributed Probabilistic SLAM Graphs
    Joseph Ortiz, Talfan Evans, Edgar Sucar, Andrew J. Davison
    http://arxiv.org/abs/2109.06241v1

    • [cs.CV]LRWR: Large-Scale Benchmark for Lip Reading in Russian language
    Evgeniy Egorov, Vasily Kostyumov, Mikhail Konyk, Sergey Kolesnikov
    http://arxiv.org/abs/2109.06692v1

    • [cs.CV]Luminance Attentive Networks for HDR Image and Panorama Reconstruction
    Hanning Yu, Wentao Liu, Chengjiang Long, Bo Dong, Qin Zou, Chunxia Xiao
    http://arxiv.org/abs/2109.06688v1

    • [cs.CV]Monocular Camera Localization for Automated Vehicles Using Image Retrieval
    Eunhyek Joa, Francesco Borrelli
    http://arxiv.org/abs/2109.06296v1

    • [cs.CV]MotionHint: Self-Supervised Monocular Visual Odometrywith Motion Constraints
    Cong Wang, Yu-Ping Wang, Dinesh Manocha
    http://arxiv.org/abs/2109.06768v1

    • [cs.CV]Multi-Level Features Contrastive Networks for Unsupervised Domain Adaptation
    Le Liu, Jieren Cheng, Boyi Liu, Yue Yang, Ke Zhou, Qiaobo Da
    http://arxiv.org/abs/2109.06543v1

    • [cs.CV]One-Class Meta-Learning: Towards Generalizable Few-Shot Open-Set Classification
    Jedrzej Kozerawski, Matthew Turk
    http://arxiv.org/abs/2109.06859v1

    • [cs.CV]POPCORN: Progressive Pseudo-labeling with Consistency Regularization and Neighboring
    Reda Abdellah Kamraoui, Vinh-Thong Ta, Nicolas Papadakis, Fanny Compaire, José V Manjon, Pierrick Coupé
    http://arxiv.org/abs/2109.06361v1

    • [cs.CV]Progressively Guide to Attend: An Iterative Alignment Framework for Temporal Sentence Grounding
    Daizong Liu, Xiaoye Qu, Pan Zhou
    http://arxiv.org/abs/2109.06400v1

    • [cs.CV]Sampling Network Guided Cross-Entropy Method for Unsupervised Point Cloud Registration
    Haobo Jiang, Yaqi Shen, Jin Xie, Jun Li, Jianjun Qian, Jian Yang
    http://arxiv.org/abs/2109.06619v1

    • [cs.CV]Sensor Adversarial Traits: Analyzing Robustness of 3D Object Detection Sensor Fusion Models
    Won Park, Nan Li, Qi Alfred Chen, Z. Morley Mao
    http://arxiv.org/abs/2109.06363v1

    • [cs.CV]Space Time Recurrent Memory Network
    Hung Nguyen, Fuxin Li
    http://arxiv.org/abs/2109.06474v1

    • [cs.CV]Spiking Neural Networks for Visual Place Recognition via Weighted Neuronal Assignments
    Somayeh Hussaini, Michael Milford, Tobias Fischer
    http://arxiv.org/abs/2109.06452v1

    • [cs.CV]Tesla-Rapture: A Lightweight Gesture Recognition System from mmWave Radar Point Clouds
    Dariush Salami, Ramin Hasibi, Sameera Palipana, Petar Popovski, Tom Michoel, Stephan Sigg
    http://arxiv.org/abs/2109.06448v1

    • [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/org/abs/2109.05928v1

    • [cs.CY]Fairness and Data Protection Impact Assessments
    Atoosa Kasirzadeh, Damian Clifford
    http://arxiv.org/abs/2109.06309v1

    • [cs.CY]Project 412Connect: Bridging Students and Communities
    Alex DiChristofano, Michael L. Hamilton, Sera Linardi, Mara F. McCloud
    http://arxiv.org/abs/2109.06287v1

    • [cs.DB]Cardinality Estimation in DBMS: A Comprehensive Benchmark Evaluation
    Yuxing Han, Ziniu Wu, Peizhi Wu, Rong Zhu, Jingyi Yang, Liang Wei Tan, Kai Zeng, Gao Cong, Yanzhao Qin, Andreas Pfadler, Zhengping Qian, Jingren Zhou, Jiangneng Li, Bin Cui
    http://arxiv.org/abs/2109.05877v2

    • [cs.DB]ML Based Lineage in Databases
    Michael Leybovich, Oded Shmueli
    http://arxiv.org/abs/2109.06339v1

    • [cs.DC]Beyond Distributed Subgraph Detection: Induced Subgraphs, Multicolored Problems and Graph Parameters
    Janne H. Korhonen, Amir Nikabadi
    http://arxiv.org/abs/2109.06561v1

    • [cs.DC]Egalitarian Byzantine Fault Tolerance
    Michael Eischer, Tobias Distler
    http://arxiv.org/abs/2109.06811v1

    • [cs.DL]Learning to Drive on the Wrong Side of the Road: How American Computing Came to Rely on Conferences for Primary Publication
    Elijah Bouma-Sims
    http://arxiv.org/abs/2109.06438v1

    • [cs.DL]The correlation coefficient between citation metrics and winning a Nobel or Abel Prize
    M. V. Simkin
    http://arxiv.org/abs/2109.06329v1

    • [cs.DS]Distributed Vertex Cover Reconfiguration
    Keren Censor-Hillel, Yannic Maus, Shahar Romem-Peled, Tigran Tonoyan
    http://arxiv.org/abs/2109.06601v1

    • [cs.DS]Online Algorithms with Lookaround
    Amirreza Akbari, Henrik Lievonen, Darya Melnyk, Joona Sarkijarvi, Jukka Suomela
    http://arxiv.org/abs/2109.06593v1

    • [cs.GT]Machine-Learned Prediction Equilibrium for Dynamic Traffic Assignment
    Lukas Graf, Tobias Harks, Kostas Kollias, Michael Markl
    http://arxiv.org/abs/2109.06713v1

    • [cs.HC]The Impact of User Demographics and Task Types on Cross-App Mobile Search
    Mohammad Aliannejadi, Fabio Crestani, Theo Huibers, Monica Landoni, Emiliana Murgia, Maria Soledad Pera
    http://arxiv.org/abs/2109.06573v1

    • [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/2109.05789v2

    • [cs.IR]BERT for Target Apps Selection: Analyzing the Diversity and Performance of BERT in Unified Mobile Search
    Negin Ghasemi, Mohammad Aliannejadi, Djoerd Hiemstra
    http://arxiv.org/abs/2109.06306v1

    • [cs.IR]Detecting Layout Templates in Complex Multiregion Files
    Gerardo Vitagliano, Lan Jiang, Felix Naumann
    http://arxiv.org/abs/2109.06630v1

    • [cs.IR]MMCoVaR: Multimodal COVID-19 Vaccine Focused Data Repository for Fake News Detection and a Baseline Architecture for Classification
    Mingxuan Chen, Xinqiao Chu, K. P. Subbalakshmi
    http://arxiv.org/abs/2109.06416v1

    • [cs.IR]Position Paper on Simulating Privacy Dynamics in Recommender Systems
    Peter Müllner, Elisabeth Lex, Dominik Kowald
    http://arxiv.org/abs/2109.06473v1

    • [cs.IR]Sequential Modelling with Applications to Music Recommendation, Fact-Checking, and Speed Reading
    Christian Hansen
    http://arxiv.org/abs/2109.06736v1

    • [cs.IR]Statistical Inference: The Missing Piece of RecSys Experiment Reliability Discourse
    Ngozi Ihemelandu, Michael D. Ekstrand
    http://arxiv.org/abs/2109.06424v1

    • [cs.IR]YES SIR!Optimizing Semantic Space of Negatives with Self-Involvement Ranker
    Ruizhi Pu, Xinyu Zhang, Ruofei Lai, Zikai Guo, Yinxia Zhang, Hao Jiang, Yongkang Wu, Yantao Jia, Zhicheng Dou, Zhao Cao
    http://arxiv.org/abs/2109.06436v1

    • [cs.IT]A graph complexity measure based on the spectral analysis of the Laplace operator
    Diego M. Mateos, Federico Morana, Hugo Aimar
    http://arxiv.org/abs/2109.06706v1

    • [cs.IT]Fast Federated Edge Learning with Overlapped Communication and Computation and Channel-Aware Fair Client Scheduling
    Mehmet Emre Ozfatura, Junlin Zhao, Deniz Gündüz
    http://arxiv.org/abs/2109.06710v1

    • [cs.IT]Linear block and convolutional MDS codes to required rate, distance and type
    Ted Hurley
    http://arxiv.org/abs/2109.06721v1

    • [cs.IT]New Extremal Binary Self-Dual Codes of Length 72 from 今日学术视野(2021.9.16) - 图3G#card=math&code=M6%28%5Cmathbb%7BF%7D_2%29G&id=dyH6V) - Group Matrix Rings by a Hybrid Search Technique Based on a Neighbourhood-Virus Optimisation Algorithm
    _Adrian Korban, Serap Sahinkaya, Deniz Ustun
    http://arxiv.org/abs/2109.06522v1

    • [cs.IT]On Decentralized Multi-Transmitter Coded Caching
    Mohammad Mahmoudi, Mohammad Javad Sojdeh, Seyed Pooya Shariatpanahi
    http://arxiv.org/abs/2109.06867v1

    • [cs.IT]On Distributed Learning with Constant Communication Bits
    Xiangxiang Xu, Shao-Lun Huang
    http://arxiv.org/abs/2109.06388v1

    • [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/2109.05752v2

    • [cs.IT]Statistical limits of dictionary learning: random matrix theory and the spectral replica method
    Jean Barbier, Nicolas Macris
    http://arxiv.org/abs/2109.06610v1

    • [cs.IT]Timely Status Updating Over Erasure Channels Using an Energy Harvesting Sensor: Single and Multiple Sources
    Ahmed Arafa, Jing Yang, Sennur Ulukus, H. Vincent Poor
    http://arxiv.org/abs/2109.06855v1

    • [cs.LG]A Practical Adversarial Attack on Contingency Detection of Smart Energy Systems
    Moein Sabounchi, Jin Wei-Kocsis
    http://arxiv.org/abs/2109.06358v1

    • [cs.LG]A machine-learning framework for daylight and visual comfort assessment in early design stages
    Hanieh Nourkojouri, Zahra Sadat Zomorodian, Mohammad Tahsildoost, Zohreh Shaghaghian
    http://arxiv.org/abs/2109.06450v1

    • [cs.LG]A pragmatic approach to estimating average treatment effects from EHR data: the effect of prone positioning on mechanically ventilated COVID-19 patients
    Adam Izdebski, Patrick J Thoral, Robbert C A Lalisang, Dean M McHugh, Robert Entjes, Nardo J M van der Meer, Dave A Dongelmans, Age D Boelens, Sander Rigter, Stefaan H A Hendriks, Remko de Jong, Marlijn J A Kamps, Marco Peters, A Karakus, Diederik Gommers, Dharmanand Ramnarain, Evert-Jan Wils, Sefanja Achterberg, Ralph Nowitzky, Walter van den Tempel, Cornelis P C de Jager, Fleur G C A Nooteboom, Evelien Oostdijk, Peter Koetsier, Alexander D Cornet, Auke C Reidinga, Wouter de Ruijter, Rob J Bosman, Tim Frenzel, Louise C Urlings-Strop, Paul de Jong, Ellen G M Smit, Olaf L Cremer, Frits H M van Osch, Harald J Faber, Judith Lens, Gert B Brunnekreef, Barbara Festen-Spanjer, Tom Dormans, Bram Simons, A A Rijkeboer, Annemieke Dijkstra, Sesmu Arbous, Marcel Aries, Menno Beukema, Rutger van Raalte, Martijn van Tellingen, Niels C Gritters van den Oever, Paul W G Elbers, Giovanni Cinà
    http://arxiv.org/abs/2109.06707v1

    • [cs.LG]Achieving Zero Constraint Violation for Constrained Reinforcement Learning via Primal-Dual Approach
    Qinbo Bai, Amrit Singh Bedi, Mridul Agarwal, Alec Koppel, Vaneet Aggarwal
    http://arxiv.org/abs/2109.06332v1

    • [cs.LG]Anomaly Attribution of Multivariate Time Series using Counterfactual Reasoning
    Violeta Teodora Trifunov, Maha Shadaydeh, Björn Barz, Joachim Denzler
    http://arxiv.org/abs/2109.06562v1

    • [cs.LG]Automatic Tuning of Tensorflow’s CPU Backend using Gradient-Free Optimization Algorithms
    Derssie Mebratu, Niranjan Hasabnis, Pietro Mercati, Gaurit Sharma, Shamima Najnin
    http://arxiv.org/abs/2109.06266v1

    • [cs.LG]COVID-Net Clinical ICU: Enhanced Prediction of ICU Admission for COVID-19 Patients via Explainability and Trust Quantification
    Audrey Chung, Mahmoud Famouri, Andrew Hryniowski, Alexander Wong
    http://arxiv.org/abs/2109.06711v1

    • [cs.LG]Complexity-aware Adaptive Training and Inference for Edge-Cloud Distributed AI Systems
    Yinghan Long, Indranil Chakraborty, Gopalakrishnan Srinivasan, Kaushik Roy
    http://arxiv.org/abs/2109.06440v1

    • [cs.LG]Conditional Synthetic Data Generation for Robust Machine Learning Applications with Limited Pandemic Data
    Hari Prasanna Das, Ryan Tran, Japjot Singh, Xiangyu Yue, Geoff Tison, Alberto Sangiovanni-Vincentelli, Costas J. Spanos
    http://arxiv.org/abs/2109.06486v1

    • [cs.LG]DSDF: An approach to handle stochastic agents in collaborative multi-agent reinforcement learning
    Satheesh K. Perepu, Kaushik Dey
    http://arxiv.org/abs/2109.06609v1

    • [cs.LG]Deep Denerative Models for Drug Design and Response
    Karina Zadorozhny, Lada Nuzhna
    http://arxiv.org/abs/2109.06469v1

    • [cs.LG]Expert Knowledge-Guided Length-Variant Hierarchical Label Generation for Proposal Classification
    Meng Xiao, Ziyue Qiao, Yanjie Fu, Yi Du, Pengyang Wang
    http://arxiv.org/abs/2109.06661v1

    • [cs.LG]Exploring the Connection between Knowledge Distillation and Logits Matching
    Defang Chen, Can Wang, Yan Feng, Chun Chen
    http://arxiv.org/abs/2109.06458v1

    • [cs.LG]Exploring the Long Short-Term Dependencies to Infer Shot Influence in Badminton Matches
    Wei-Yao Wang, Teng-Fong Chan, Hui-Kuo Yang, Chih-Chuan Wang, Yao-Chung Fan, Wen-Chih Peng
    http://arxiv.org/abs/2109.06431v1

    • [cs.LG]Few-shot Quality-Diversity Optimisation
    Achkan Salehi, Alexandre Coninx, Stephane Doncieux
    http://arxiv.org/abs/2109.06826v1

    • [cs.LG]Formalizing and Estimating Distribution Inference Risks
    Anshuman Suri, David Evans
    http://arxiv.org/abs/2109.06024v2

    • [cs.LG]Greenformer: Factorization Toolkit for Efficient Deep Neural Networks
    Samuel Cahyawijaya, Genta Indra Winata, Holy Lovenia, Bryan Wilie, Wenliang Dai, Etsuko Ishii, Pascale Fung
    http://arxiv.org/abs/2109.06762v1

    • [cs.LG]HPOBench: A Collection of Reproducible Multi-Fidelity Benchmark Problems for HPO
    Katharina Eggensperger, Philipp Müller, Neeratyoy Mallik, Matthias Feurer, René Sass, Aaron Klein, Noor Awad, Marius Lindauer, Frank Hutter
    http://arxiv.org/abs/2109.06716v1

    • [cs.LG]IGNNITION: Bridging the Gap Between Graph Neural Networks and Networking Systems
    David Pujol-Perich, José Suárez-Varela, Miquel Ferriol, Shihan Xiao, Bo Wu, Albert Cabellos-Aparicio, Pere Barlet-Ros
    http://arxiv.org/abs/2109.06715v1

    • [cs.LG]Instance-wise Graph-based Framework for Multivariate Time Series Forecasting
    Wentao Xu, Weiqing Liu, Jiang Bian, Jian Yin, Tie-Yan Liu
    http://arxiv.org/abs/2109.06489v1

    • [cs.LG]Knowledge-guided Self-supervised Learning for estimating River-Basin Characteristics
    Rahul Ghosh, Arvind Renganathan, Ankush Khandelwal, Xiaowei Jia, Xiang Li, John Neiber, Chris Duffy, Vipin Kumar
    http://arxiv.org/abs/2109.06429v1

    • [cs.LG]Machine Learning for Online Algorithm Selection under Censored Feedback
    Alexander Tornede, Viktor Bengs, Eyke Hüllermeier
    http://arxiv.org/abs/2109.06234v1

    • [cs.LG]Mitigating Sampling Bias and Improving Robustness in Active Learning
    Ranganath Krishnan, Alok Sinha, Nilesh Ahuja, Mahesh Subedar, Omesh Tickoo, Ravi Iyer
    http://arxiv.org/abs/2109.06321v1

    • [cs.LG]Multiple shooting with neural differential equations
    Evren Mert Turan, Johannes Jäschke
    http://arxiv.org/abs/2109.06786v1

    • [cs.LG]Neural Networks with Physics-Informed Architectures and Constraints for Dynamical Systems Modeling
    Franck Djeumou, Cyrus Neary, Eric Goubault, Sylvie Putot, Ufuk Topcu
    http://arxiv.org/abs/2109.06407v1

    • [cs.LG]Nonlinearities in Steerable SO(2)-Equivariant CNNs
    Daniel Franzen, Michael Wand
    http://arxiv.org/abs/2109.06861v1

    • [cs.LG]PETGEN: Personalized Text Generation Attack on Deep Sequence Embedding-based Classification Models
    Bing He, Mustaque Ahamad, Srijan Kumar
    http://arxiv.org/abs/2109.06777v1

    • [cs.LG]Policy Optimization Using Semiparametric Models for Dynamic Pricing
    Jianqing Fan, Yongyi Guo, Mengxin Yu
    http://arxiv.org/abs/2109.06368v1

    • [cs.LG]Pre-emptive learning-to-defer for sequential medical decision-making under uncertainty
    Shalmali Joshi, Sonali Parbhoo, Finale Doshi-Velez
    http://arxiv.org/abs/2109.06312v1

    • [cs.LG]Predicting Loss Risks for B2B Tendering Processes
    Eelaaf Zahid, Yuya Jeremy Ong, Aly Megahed, Taiga Nakamura
    http://arxiv.org/abs/2109.06815v1

    • [cs.LG]Program-to-Circuit: Exploiting GNNs for Program Representation and Circuit Translation
    Nan Wu, Huake He, Yuan Xie, Pan Li, Cong Hao
    http://arxiv.org/abs/2109.06265v1

    • [cs.LG]ROMAX: Certifiably Robust Deep Multiagent Reinforcement Learning via Convex Relaxation
    Chuangchuang Sun, Dong-Ki Kim, Jonathan P. How
    http://arxiv.org/abs/2109.06795v1

    • [cs.LG]Simulations in Recommender Systems: An industry perspective
    Lucas Bernardi, Sakshi Batra, Cintia Alicia Bruscantini
    http://arxiv.org/abs/2109.06723v1

    • [cs.LG]State Relevance for Off-Policy Evaluation
    Simon P. Shen, Yecheng Jason Ma, Omer Gottesman, Finale Doshi-Velez
    http://arxiv.org/abs/2109.06310v1

    • [cs.LG]Sum-Product-Attention Networks: Leveraging Self-Attention in Probabilistic Circuits
    Zhongjie Yu, Devendra Singh Dhami, Kristian Kersting
    http://arxiv.org/abs/2109.06587v1

    • [cs.LG]Theoretical Guarantees of Fictitious Discount Algorithms for Episodic Reinforcement Learning and Global Convergence of Policy Gradient Methods
    Xin Guo, Anran Hu, Junzi Zhang
    http://arxiv.org/abs/2109.06362v1

    • [cs.LG]Towards Better Model Understanding with Path-Sufficient Explanations
    Ronny Luss, Amit Dhurandhar
    http://arxiv.org/abs/2109.06181v1

    • [cs.LG]Towards optimized actions in critical situations of soccer games with deep reinforcement learning
    Pegah Rahimian, Afshin Oroojlooy, Laszlo Toka
    http://arxiv.org/abs/2109.06625v1

    • [cs.LG]Variation-Incentive Loss Re-weighting for Regression Analysis on Biased Data
    Wentai Wu, Ligang He, Weiwei Lin
    http://arxiv.org/abs/2109.06565v1

    • [cs.LG]Vision Transformer for Learning Driving Policies in Complex Multi-Agent Environments
    Eshagh Kargar, Ville Kyrki
    http://arxiv.org/abs/2109.06514v1

    • [cs.MA]Reactive and Safe Road User Simulations using Neural Barrier Certificates
    Yue Meng, Zengyi Qin, Chuchu Fan
    http://arxiv.org/abs/2109.06689v1

    • [cs.NE]Automatic hippocampal surface generation via 3D U-net and active shape modeling with hybrid particle swarm optimization
    Pinyuan Zhong, Yue Zhang, Xiaoying Tang
    http://arxiv.org/abs/2109.06817v1

    • [cs.NE]Choosing the Right Algorithm With Hints From Complexity Theory
    Shouda Wang, Weijie Zheng, Benjamin Doerr
    http://arxiv.org/abs/2109.06584v1

    • [cs.RO]A Hierarchical Control Framework for Drift Maneuvering of Autonomous Vehicles
    Bo Yang, Yiwen Lu, Xu Yang, Yilin Mo
    http://arxiv.org/abs/2109.06730v1

    • [cs.RO]Adaptive Constrained Kinematic Control using Partial or Complete Task-Space Measurements
    Murilo Marques Marinho, Bruno Vilhena Adorno
    http://arxiv.org/abs/2109.06375v1

    • [cs.RO]Comparing Reconstruction- and Contrastive-based Models for Visual Task Planning
    Constantinos Chamzas, Martina Lippi, Michael C. Welle, Anastasia Varava, Lydia E. Kavraki, Danica Kragic
    http://arxiv.org/abs/2109.06737v1

    • [cs.RO]Dependability Analysis of Deep Reinforcement Learning based Robotics and Autonomous Systems
    Yi Dong, Xingyu Zhao, Xiaowei Huang
    http://arxiv.org/abs/2109.06523v1

    • [cs.RO]Design and Model Predictive Control of Mars Coaxial Quadrotor
    Akash Patel, Avijit Banerjee, Bjorn Lindqvist, Christoforos Kanellakis, George Nikolakopoulos
    http://arxiv.org/abs/2109.06810v1

    • [cs.RO]Designing Multi-Stage Coupled Convex Programming with Data-Driven McCormick Envelope Relaxations for Motion Planning
    Xuan Lin, Min Sung Ahn, Dennis Hong
    http://arxiv.org/abs/2109.06516v1

    • [cs.RO]Detecting Safety Problems of Multi-Sensor Fusion in Autonomous Driving
    Ziyuan Zhong, Zhisheng Hu, Shengjian Guo, Xinyang Zhang, Zhenyu Zhong, Baishakhi Ray
    http://arxiv.org/abs/2109.06404v1

    • [cs.RO]Extended Version of GTGraffiti: Spray Painting Graffiti Art from Human Painting Motions with a Cable Driven Parallel Robot
    Gerry Chen, Sereym Baek, Juan-Diego Florez, Wanli Qian, Sang-won Leigh, Seth Hutchinson, Frank Dellaert
    http://arxiv.org/abs/2109.06238v1

    • [cs.RO]Fast and Accurate Extrinsic Calibration for Multiple LiDARs and Cameras
    Xiyuan Liu, Chongjian Yuan, Fu Zhang
    http://arxiv.org/abs/2109.06550v1

    • [cs.RO]GALOPP: Multi-Agent Deep Reinforcement Learning For Persistent Monitoring With Localization Constraints
    Manav Mishra, Prithvi Poddar, Jingxi Chen, Pratap Tokekar, P. B. Sujit
    http://arxiv.org/abs/2109.06831v1

    • [cs.RO]GPGM-SLAM: a Robust SLAM System for Unstructured Planetary Environments with Gaussian Process Gradient Maps
    Riccardo Giubilato, Cedric Le Gentil, Mallikarjuna Vayugundla, Martin J. Schuster, Teresa Vidal-Calleja, Rudolph Triebel
    http://arxiv.org/abs/2109.06596v1

    • [cs.RO]Geometric analysis of gaits and optimal control for three-link kinematic swimmers
    Oren Wiezel, Suresh Ramasamy, Nathan Justus, Yizhar Or, Ross Hatton
    http://arxiv.org/abs/2109.06511v1

    • [cs.RO]Large-scale Autonomous Flight with Real-time Semantic SLAM under Dense Forest Canopy
    Xu Liu, Guilherme V. Nardari, Fernando Cladera Ojeda, Yuezhan Tao, Alex Zhou, Thomas Donnelly, Chao Qu, Chao Qu, Roseli A. F. Romero, Camillo J. Taylor, Vijay Kumar
    http://arxiv.org/abs/2109.06479v1

    • [cs.RO]Learning Based Adaptive Force Control of Robotic Manipulation Based on Real-Time Object Stiffness Detection
    Zhaoxing Deng, Xutian Deng, Miao Li
    http://arxiv.org/abs/2109.06702v1

    • [cs.RO]Learning to Navigate Intersections with Unsupervised Driver Trait Inference
    Shuijing Liu, Peixin Chang, Haonan Chen, Neeloy Chakraborty, Katherine Driggs-Campbell
    http://arxiv.org/abs/2109.06783v1

    • [cs.RO]Multi-modal Motion Prediction with Transformer-based Neural Network for Autonomous Driving
    Zhiyu Huang, Xiaoyu Mo, Chen Lv
    http://arxiv.org/abs/2109.06446v1

    • [cs.RO]Object Shell Reconstruction: Camera-centric Object Representation for Robotic Grasping
    Nikhil Chavan-Dafle, Sergiy Popovych, Shubham Agrawal, Daniel D. Lee, Volkan Isler
    http://arxiv.org/abs/2109.06837v1

    • [cs.RO]Obstacle Avoidance for Autonomous Mobile Robots Based on Mapping Method
    Anh-Tu Nguyen, Cong-Thanh Vu
    http://arxiv.org/abs/2109.06773v1

    • [cs.RO]Reinforcement Learning with Evolutionary Trajectory Generator: A General Approach for Quadrupedal Locomotion
    Haojie Shi, Bo Zhou, Hongsheng Zeng, Fan Wang, Yueqiang Dong, Jiangyong Li, Kang Wang, Hao Tian, Max Q. -H. Meng
    http://arxiv.org/abs/2109.06409v1

    • [cs.RO]Rethinking Trust in Social Robotics
    Rachele Carli, Amro Najjar
    http://arxiv.org/abs/2109.06800v1

    • [cs.RO]TTM: Terrain Traversability Mapping for Autonomous Excavator Navigation in Unstructured Environments
    Tianrui Guan, Zhenpeng He, Dinesh Manocha, Liangjun Zhang
    http://arxiv.org/abs/2109.06250v1

    • [cs.RO]Tracking Control foe Multi-Agent Systems Using Broadcast Signals Based on Positive Realness
    Yasushi Amano, Tomohiko Jimbo, Kenji Fujimoto
    http://arxiv.org/abs/2109.06372v1

    • [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/2109.05791v2

    • [cs.RO]safe-control-gym: a Unified Benchmark Suite for Safe Learning-based Control and Reinforcement Learning
    Zhaocong Yuan, Adam W. Hall, Siqi Zhou, Lukas Brunke, Melissa Greeff, Jacopo Panerati, Angela P. Schoellig
    http://arxiv.org/abs/2109.06325v1

    • [cs.SD]A Machine-learning Framework for Acoustic Design Assessment in Early Design Stages
    Reyhane Abarghooie, Zahra Sadat Zomorodian, Mohammad Tahsildoost, Zohreh Shaghaghian
    http://arxiv.org/abs/2109.06459v1

    • [cs.SD]Structure-Enhanced Pop Music Generation via Harmony-Aware Learning
    Xueyao Zhang, Jinchao Zhang, Yao Qiu, Li Wang, Jie Zhou
    http://arxiv.org/abs/2109.06441v1

    • [cs.SE]Developers Who Vlog: Dismantling Stereotypes through Community and Identity
    Souti Chattopadhyay, Denae Ford, Thomas Zimmermann
    http://arxiv.org/abs/2109.06302v1

    • [cs.SE]Improving Test Case Generation for REST APIs Through Hierarchical Clustering
    Dimitri Stallenberg, Mitchell Olsthoorn, Annibale Panichella
    http://arxiv.org/abs/2109.06655v1

    • [cs.SI]Los fact-checkers iberoamericanos frente a la COVID-19. Análisis de actividad en Facebook / The Ibero-American fact-checkers facing the COVID-19. Analysis of activity on Facebook
    Alberto Dafonte-Gómez, María-Isabel Míguez-González, Xabier Martínez-Rolán
    http://arxiv.org/abs/2109.06533v1

    • [eess.IV]3-Dimensional Deep Learning with Spatial Erasing for Unsupervised Anomaly Segmentation in Brain MRI
    Marcel Bengs, Finn Behrendt, Julia Krüger, Roland Opfer, Alexander Schlaefer
    http://arxiv.org/abs/2109.06540v1

    • [eess.IV]COVID-Net MLSys: Designing COVID-Net for the Clinical Workflow
    Audrey G. Chung, Maya Pavlova, Hayden Gunraj, Naomi Terhljan, Alexander MacLean, Hossein Aboutalebi, Siddharth Surana, Andy Zhao, Saad Abbasi, Alexander Wong
    http://arxiv.org/abs/2109.06421v1

    • [eess.IV]Cross-Modality Domain Adaptation for Vestibular Schwannoma and Cochlea Segmentation
    Han Liu, Yubo Fan, Can Cui, Dingjie Su, Andrew McNeil, Benoit M. Dawant
    http://arxiv.org/abs/2109.06274v1

    • [eess.IV]Dense Deep Unfolding Network with 3D-CNN Prior for Snapshot Compressive Imaging
    Zhuoyuan Wu, Jian Zhang, Chong Mou
    http://arxiv.org/abs/2109.06548v1

    • [eess.IV]ImUnity: a generalizable VAE-GAN solution for multicenter MR image harmonization
    Stenzel Cackowski, Emmanuel L. Barbier, Michel Dojat, Thomas Christen
    http://arxiv.org/abs/2109
    59a0
    .06756v1
    59a0
    .06756v1)

    • [eess.IV]ImUnity: a generalizable VAE-GAN solution for multicenter MR image harmonization
    Stenzel Cackowski, Emmanuel L. Barbier, Michel Dojat, Thomas Christen
    http://arxiv.org/abs/2109.06756v1

    • [eess.IV]Multi-Scale Input Strategies for Medulloblastoma Tumor Classification using Deep Transfer Learning
    Marcel Bengs, Satish Pant, Michael Bockmayr, Ulrich Schüller, Alexander Schlaefer
    http://arxiv.org/abs/2109.06547v1

    • [eess.IV]Physics Driven Domain Specific Transporter Framework with Attention Mechanism for Ultrasound Imaging
    Arpan Tripathi, Abhilash Rakkunedeth, Mahesh Raveendranatha Panicker, Jack Zhang, Naveenjyote Boora, Jessica Knight, Jacob Jaremko, Yale Tung Chen, Kiran Vishnu Narayan, Kesavadas C
    http://arxiv.org/abs/2109.06346v1

    • [eess.SP]Bayesian AirComp with Sign-Alignment Precoding for Wireless Federated Learning
    Chanho Park, Seunghoon Lee, Namyoon Lee
    http://arxiv.org/abs/2109.06579v1

    • [eess.SP]On the Correlation between the Noise and a Priori Error Vectors in Affine Projection Algorithms
    Andres Altieri
    http://arxiv.org/abs/2109.06344v1

    • [eess.SY]Safe Nonlinear Control Using Robust Neural Lyapunov-Barrier Functions
    Charles Dawson, Zengyi Qin, Sicun Gao, Chuchu Fan
    http://arxiv.org/abs/2109.06697v1

    • [eess.SY]Stochastic Observer for SLAM on the Lie Group
    Marium Tawhid, Ajay Singh Ludher, Hashim A. Hashim
    http://arxiv.org/abs/2109.06323v1

    • [math.OC]On the regularized risk of distributionally robust learning over deep neural networks
    Camilo Garcia Trillos, Nicolas Garcia Trillos
    http://arxiv.org/abs/2109.06294v1

    • [math.OC]Performance of a Markovian neural network versus dynamic programming on a fishing control problem
    Mathieu Laurière, Gilles Pagès, Olivier Pironneau
    http://arxiv.org/abs/2109.06856v1

    • [math.ST]A Wasserstein index of dependence for random measures
    Marta Catalano, Hugo Lavenant, Antonio Lijoi, Igor Prünster
    http://arxiv.org/abs/2109.06646v1

    • [math.ST]Gibbs posterior inference on a Levy density under discrete sampling
    Zhe Wang, Ryan Martin
    http://arxiv.org/abs/2109.06567v1

    • [math.ST]Parametric Modeling Approach to COVID-19 Pandemic Data
    N. I. Badmus, O. Faweya, S. A. Ige
    http://arxiv.org/abs/2109.06254v1

    • [math.ST]Tail bounds for empirically standardized sums
    Guenther Walther
    http://arxiv.org/abs/2109.06371v1

    • [physics.med-ph]An Apparatus for the Simulation of Breathing Disorders: Physically Meaningful Generation of Surrogate Data
    Harry J. Davies, Ghena Hammour, Danilo P. Mandic
    http://arxiv.org/abs/2109.06699v1

    • [physics.soc-ph]Information Cocoons in Online Navigation
    Lei Hou, Xue Pan, Kecheng Liu, Zimo Yang, Jianguo Liu, Tao Zhou
    http://arxiv.org/abs/2109.06589v1

    • [q-bio.QM]Specified Certainty Classification, with Application to Read Classification for Reference-Guided Metagenomic Assembly
    Alan F. Karr, Jason Hauzel, Prahlad Menon, Adam A. Porter, Marcel Schaefer
    http://arxiv.org/abs/2109.06677v1

    • [quant-ph]Distilling GHZ States using Stabilizer Codes
    Narayanan Rengaswamy, Ankur Raina, Nithin Raveendran, Bane Vasić
    http://arxiv.org/abs/2109.06248v1

    • [quant-ph]QKD parameter estimation by two-universal hashing leads to faster convergence to the asymptotic rate
    Dimiter Ostrev
    http://arxiv.org/abs/2109.06709v1

    • [stat.AP]Transformation-based generalized spatial regression using the spmoran package: Case study examples
    Daisuke Murakami
    http://arxiv.org/abs/2109.06383v1

    • [stat.ME]Asymptotic normality for eigenvalue statistics of a general sample covariance matrix when 今日学术视野(2021.9.16) - 图4 and applications
    Jiaxin Qiu, Zeng Li, Jianfeng Yao
    http://arxiv.org/abs/2109.06701v1

    • [stat.ME]Bayesian model-based outlier detection in network meta-analysis
    Silvia Metelli, Dimitris Mavridis, Perrine Créquit, Anna Chaimani
    http://arxiv.org/abs/2109.06559v1

    • [stat.ME]Competing Risks Regression for Clustered Data via the Marginal Additive Subdistribution Hazard Model
    Xinyuan Chen, Denise Esserman, Fan Li
    http://arxiv.org/abs/2109.06348v1

    • [stat.ME]Quantile Mixed Hidden Markov Models for multivariate longitudinal data
    Luca Merlo, Lea Petrella, Nikos Tzavidis
    http://arxiv.org/abs/2109.06751v1

    • [stat.ME]Using Clinical Experts Beliefs to Compare Survival Models in Health Technology Assessment
    J. W. Stevens, M. Orr
    http://arxiv.org/abs/2109.06760v1

    • [stat.ML]A geometric perspective on functional outlier detection
    Moritz Herrmann, Fabian Scheipl
    http://arxiv.org/abs/2109.06849v1

    • [stat.ML]Differentially Private Variable Selection via the Knockoff Filter
    Mehrdad Pournaderi, Yu Xiang
    http://arxiv.org/abs/2109.05402v2

    • [stat.ML]Tuna-AI: tuna biomass estimation with Machine Learning models trained on oceanography and echosounder FAD data
    Daniel Precioso, Manuel Navarro-García, Kathryn Gavira-O’Neill, Alberto Torres-Barrán, David Gordo, Victor Gallego-Alcalá, David Gómez-Ullate
    http://arxiv.org/abs/2109.06732v1