astro-ph.IM - 仪器仪表和天体物理学方法
    cs.AI - 人工智能
    cs.CL - 计算与语言
    cs.CR - 加密与安全
    cs.CV - 机器视觉与模式识别
    cs.CY - 计算与社会
    cs.DC - 分布式、并行与集群计算
    cs.ET - 新兴技术
    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.SI - 社交网络与信息网络
    eess.AS - 语音处理
    eess.IV - 图像与视频处理
    eess.SP - 信号处理
    eess.SY - 系统和控制
    math.DG - 微分几何
    math.OC - 优化与控制
    math.SG - 辛几何
    math.ST - 统计理论
    physics.bio-ph - 生物物理
    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

    • [astro-ph.IM]Astronomical source finding services for the CIRASA visual analytic platform
    • [cs.AI]A Survey on State-of-the-art Techniques for Knowledge Graphs Construction and Challenges ahead
    • [cs.AI]Certainty Modeling of a Decision Support System for Mobile Monitoring of Exercise induced Respiratory Conditions
    • [cs.AI]LPRules: Rule Induction in Knowledge Graphs Using Linear Programming
    • [cs.AI]NeuroLKH: Combining Deep Learning Model with Lin-Kernighan-Helsgaun Heuristic for Solving the Traveling Salesman Problem
    • [cs.AI]SAT Encodings for Pseudo-Boolean Constraints Together With At-Most-One Constraints
    • [cs.CL]BBQ: A Hand-Built Bias Benchmark for Question Answering
    • [cs.CL]Breaking Down Multilingual Machine Translation
    • [cs.CL]Bridging the Gap: Cross-Lingual Summarization with Compression Rate
    • [cs.CL]Crisis Domain Adaptation Using Sequence-to-sequence Transformers
    • [cs.CL]Cross-Domain Data Integration for Named Entity Disambiguation in Biomedical Text
    • [cs.CL]Cross-Lingual Fine-Grained Entity Typing
    • [cs.CL]DYLE: Dynamic Latent Extraction for Abstractive Long-Input Summarization
    • [cs.CL]DialFact: A Benchmark for Fact-Checking in Dialogue
    • [cs.CL]Direct simultaneous speech to speech translation
    • [cs.CL]End-to-End Segmentation-based News Summarization
    • [cs.CL]Estimating the Level and Direction of Phonetic Dialect Change in the Northern Netherlands
    • [cs.CL]Exploring Low-dimensional Intrinsic Task Subspace via Prompt Tuning
    • [cs.CL]Few-Shot Bot: Prompt-Based Learning for Dialogue Systems
    • [cs.CL]Generating Natural Language Adversarial Examples through An Improved Beam Search Algorithm
    • [cs.CL]Hierarchical Curriculum Learning for AMR Parsing
    • [cs.CL]Hindsight: Posterior-guided training of retrievers for improved open-ended generation
    • [cs.CL]Identifying Causal Influences on Publication Trends and Behavior: A Case Study of the Computational Linguistics Community
    • [cs.CL]Incremental Speech Synthesis For Speech-To-Speech Translation
    • [cs.CL]Integrating diverse extraction pathways using iterative predictions for Multilingual Open Information Extraction
    • [cs.CL]Jurassic is (almost) All You Need: Few-Shot Meaning-to-Text Generation for Open-Domain Dialogue
    • [cs.CL]Kronecker Decomposition for GPT Compression
    • [cs.CL]Meta-learning via Language Model In-context Tuning
    • [cs.CL]MixQG: Neural Question Generation with Mixed Answer Types
    • [cs.CL]Modeling Endorsement for Multi-Document Abstractive Summarization
    • [cs.CL]Modeling Proficiency with Implicit User Representations
    • [cs.CL]Multilingual Speech Recognition using Knowledge Transfer across Learning Processes
    • [cs.CL]Multimodal Emotion-Cause Pair Extraction in Conversations
    • [cs.CL]RAP: Robustness-Aware Perturbations for Defending against Backdoor Attacks on NLP Models
    • [cs.CL]Rewire-then-Probe: A Contrastive Recipe for Probing Biomedical Knowledge of Pre-trained Language Models
    • [cs.CL]SPoT: Better Frozen Model Adaptation through Soft Prompt Transfer
    • [cs.CL]Scribosermo: Fast Speech-to-Text models for German and other Languages
    • [cs.CL]Socially Aware Bias Measurements for Hindi Language Representations
    • [cs.CL]Sparse Progressive Distillation: Resolving Overfitting under Pr
    119a
    etrain-and-Finetune Paradigm
    • [cs.CL]Structural Modeling for Dialogue Disentanglement
    • [cs.CL]The World of an Octopus: How Reporting Bias Influences a Language Model’s Perception of Color
    • [cs.CL]Tracing Origins: Coref-aware Machine Reading Comprehension
    • [cs.CL]Transformer-based Multi-task Learning for Disaster Tweet Categorisation
    • [cs.CL]Tricks for Training Sparse Translation Models
    • [cs.CL]UniDS: A Unified Dialogue System for Chit-Chat and Task-oriented Dialogues
    • [cs.CL]Why don’t people use character-level machine translation?
    • [cs.CL]mLUKE: The Power of Entity Representations in Multilingual Pretrained Language Models
    • [cs.CR]A Modern Analysis of Aging Machine Learning Based IoT Cybersecurity Methods
    • [cs.CR]Assessing Risks and Modeling Threats in the Internet of Things
    • [cs.CR]Hand Me Your PIN! Inferring ATM PINs of Users Typing with a Covered Hand
    • [cs.CR]Machine Learning Algorithms In User Authentication Schemes
    • [cs.CR]Textual Backdoor Attacks Can Be More Harmful via Two Simple Tricks
    • [cs.CV]”Knights”: First Place Submission for VIPriors21 Action Recognition Challenge at ICCV 2021
    • [cs.CV]3D Reconstruction of Curvilinear Structures with Stereo Matching DeepConvolutional Neural Networks
    • [cs.CV]4D flight trajectory prediction using a hybrid Deep Learning prediction method based on ADS-B technology: a case study of Hartsfield-Jackson Atlanta International Airport(ATL)
    • [cs.CV]Accurate Fine-grained Layout Analysis for the Historical Tibetan Document Based on the Instance Segmentation
    • [cs.CV]Active Learning for Improved Semi-Supervised Semantic Segmentation in Satellite Images
    • [cs.CV]Advances and Challenges in Deep Lip Reading
    • [cs.CV]Adversarial Attacks on ML Defense Models Competition
    • [cs.CV]Adversarial Purification through Representation Disentanglement
    • [cs.CV]Attention meets Geometry: Geometry Guided Spatial-Temporal Attention for Consistent Self-Supervised Monocular Depth Estimation
    • [cs.CV]Augmenting Imitation Experience via Equivariant Representations
    • [cs.CV]Automated Quality Control of Vacuum Insulated Glazing by Convolutional Neural Network Image Classification
    • [cs.CV]Crop Rotation Modeling for Deep Learning-Based Parcel Classification from Satellite Time Series
    • [cs.CV]DG-Labeler and DGL-MOTS Dataset: Boost the Autonomous Driving Perception
    • [cs.CV]Data Generation using Texture Co-occurrence and Spatial Self-Similarity for Debiasing
    • [cs.CV]EFENet: Reference-based Video Super-Resolution with Enhanced Flow Estimation
    • [cs.CV]Fire Together Wire Together: A Dynamic Pruning Approach with Self-Supervised Mask Prediction
    • [cs.CV]FlexConv: Continuous Kernel Convolutions with Differentiable Kernel Sizes
    • [cs.CV]Gait-based Frailty Assessment using Image Representation of IMU Signals and Deep CNN
    • [cs.CV]Guided Point Contrastive Learning for Semi-supervised Point Cloud Semantic Segmentation
    • [cs.CV]Improving Unsupervised Domain Adaptive Re-Identification via Source-Guided Selection of Pseudo-Labeling Hyperparameters
    • [cs.CV]Joint Channel and Weight Pruning for Model Acceleration on Moblie Devices
    • [cs.CV]Learning to Infer Kinematic Hierarchies for Novel Object Instances
    • [cs.CV]Multi-Tailed, Multi-Headed, Spatial Dynamic Memory refined Text-to-Image Synthesis
    • [cs.CV]NeuroView: Explainable Deep Network Decision Making
    • [cs.CV]Occupancy Estimation from Thermal Images
    • [cs.CV]On Generating Identifiable Virtual Faces
    • [cs.CV]PTQ-SL: Exploring the Sub-layerwise Post-training Quantization
    • [cs.CV]Performance, Successes and Limitations of Deep Learning Semantic Segmentation of Multiple Defects in Transmission Electron Micrographs
    • [cs.CV]PolyNet: Polynomial Neural Network for 3D Shape Recognition with PolyShape Representation
    • [cs.CV]Pose-guided Generative Adversarial Net for Novel View Action Synthesis
    • [cs.CV]Pyramid Correlation based Deep Hough Voting for Visual Object Tracking
    • [cs.CV]Receptive Field Broadening and Boosting for Salient Object Detection
    • [cs.CV]Relation Preserving Triplet Mining for Stabilizing the Triplet Loss in Vehicle Re-identification
    • [cs.CV]Shaping embodied agent behavior with activity-context priors from egocentric video
    • [cs.CY]Dynamics of Cross-Platform Attention to Retracted Papers: Pervasiveness, Audience Skepticism, and Timing of Retractions
    • [cs.DC]Metrics and Design of an Instruction Roofline Model for AMD GPUs
    • [cs.ET]Design Technology Co-Optimization for Neuromorphic Computing
    • [cs.IR]Exposing Query Identification for Search Transparency
    • [cs.IR]Intent-based Product Collections for E-commerce using Pretrained Language Models
    • [cs.IR]Web Search via an Efficient and Effective Brain-Machine Interface
    • [cs.IT]今日学术视野(2021.10.19) - 图1 — Online Policies and Fundamental Limits
    • [cs.IT]Achievable Secrecy Rate for the Relay Eavesdropper Channel with Non-Causal State Available at Transmitter and Relay
    • [cs.IT]Channel Eigenvalues and Effective Degrees of Freedom of Reconfigurable Intelligent Surfaces
    • [cs.IT]Cooperative Localization in Massive Networks
    • [cs.IT]Distributed Resource Allocation Optimization for User-Centric Cell-Free MIMO Networks
    • [cs.IT]Hardware Architecture of Layered Decoders for PLDPC-Hadamard Codes
    • [cs.IT]Linear maximum rank distance codes of exceptional type
    • [cs.IT]Meta-Reinforcement Learning Based Resource Allocation for Dynamic V2X Communications
    • [cs.IT]On proportional fairness of uplink spectral efficiency in cell-free massive MIMO systems
    • [cs.IT]Optimal Distribution Design for Irregular Repetition Slotted ALOHA with Multi-Packet Reception
    • [cs.IT]Performance Analysis of a MIMO System with Bursty Traffic in the presence of Energy Harvesting Jammer
    • [cs.LG]A Dual-Perception Graph Neural Network with Multi-hop Graph Generator
    • [cs.LG]A Survey of Evolutionary Multi-Objective Clustering Approaches
    • [cs.LG]ACE-HGNN: Adaptive Curvature Exploration Hyperbolic Graph Neural Network
    • [cs.LG]Almost Optimal Batch-Regret Tradeoff for Batch Linear Contextual Bandits
    • [cs.LG]Collaborating with Humans without Human Data
    • [cs.LG]Combining Diverse Feature Priors
    • [cs.LG]Containerized Distributed Value-Based Multi-Agent Reinforcement Learning
    • [cs.LG]Detecting Modularity in Deep Neural Networks
    • [cs.LG]Equivariant and Invariant Reynolds Networks
    • [cs.LG]Evaluation of Hyperparameter-Optimization Approaches in an Industrial Federated Learning System
    • [cs.LG]FOLD-R++: A Toolset for Automated Inductive Learning of Default Theories from Mixed Data
    • [cs.LG]FedMe: Federated Learning via Model Exchange
    • [cs.LG]FedSEAL: Semi-Supervised Federated Learning with Self-Ensemble Learning and Negative Learning
    • [cs.LG]Gradient Descent on Infinitely Wide Neural Networks: Global Convergence and Generalization
    • [cs.LG]Graph Neural Networks with Learnable Structural and Positional Representations
    • [cs.LG]Guiding Visual Question Generation
    • [cs.LG]Identifying Incorrect Classifications with Balanced Uncertainty
    • [cs.LG]Improving Hyperparameter Optimization by Planning Ahead
    • [cs.LG]Interpretable Neural Networks with Frank-Wolfe: Sparse Relevance Maps and Relevance Orderings
    • [cs.LG]Label-Wise Message Passing Graph Neural Network on Heterophilic Graphs
    • [cs.LG]Learn Proportional Derivative Controllable Latent Space from Pixels
    • [cs.LG]Leveraging Spatial and Temporal Correlations in Sparsified Mean Estimation
    • [cs.LG]Low-rank Matrix Recovery With Unknown Correspondence
    • [cs.LG]MaGNET: Uniform Sampling from Deep Generative Network Manifolds Without Retraining
    • [cs.LG]Multitask Prompted Training Enables Zero-Shot Task Generalization
    • [cs.LG]NNK-Means: Dictionary Learning using Non-Negative Kernel regression
    • [cs.LG]On Extending Amdahl’s law to Learn Computer Performance
    • [cs.LG]On-Policy Model Errors in Reinforcement Learning
    • [cs.LG]Propagation on Multi-relational Graphs for Node Regression
    • [cs.LG]Reappraising Domain Generalization in Neural Networks
    • [cs.LG]Residual2Vec: Debiasing graph embedding with random graphs
    • [cs.LG]SaLinA: Sequential Learning of Agents
    • [cs.LG]Scalable Causal Structure Learning: New Opportunities in Biomedicine
    • [cs.LG]Shared Visual Representations of Drawing for Communication: How do different biases affect human interpretability and intent?
    • [cs.LG]StreaMulT: Streaming Multimodal Transformer for Heterogeneous and Arbitrary Long Sequential Data
    • [cs.LG]The Neural Data Router: Adaptive Control Flow in Transformers Improves Systematic Generalization
    • [cs.LG]Towards Better Plasticity-Stability Trade-off in Incremental Learning: A simple Linear Connector
    • [cs.LG]Towards Statistical and Computational Complexities of Polyak Step Size Gradient Descent
    • [cs.LG]Trade-offs of Local SGD at Scale: An Empirical Study
    • [cs.LG]Transforming Autoregression: Interpretable and Expressive Time Series Forecast
    • [cs.LG]Understanding and Improving Robustness of Vision Transformers through Patch-based Negative Augmentation
    • [cs.LG]VICause: Simultaneous Missing Value Imputation and Causal Discovery with Groups
    • [cs.LG]Value Penalized Q-Learning for Recommender Systems
    • [cs.LG]Wasserstein Unsupervised Reinforcement Learning
    • [cs.MA]Simulation of emergence in artificial societies: a practical model-based approach with the EB-DEVS formalism
    • [cs.NE]Benchmark Problems for CEC2021 Competition on Evolutionary Transfer Multiobjectve Optimization
    • [cs.NE]Effects of Different Optimization Formulations in Evolutionary Reinforcement Learning on Diverse Behavior Generation
    • [cs.NE]Evolving spiking neuron cellular automata and networks to emulate in vitro neuronal activity
    • [cs.RO]A Broad-persistent Advising Approach for Deep Interactive Reinforcement Learning in Robotic Environments
    • [cs.RO]Anomaly Detection in Multi-Agent Trajectories for Automated Driving
    • [cs.RO]Dual-Arm Adversarial Robot Learning
    • [cs.RO]Estimation and Prediction of Deterministic Human Intent Signal to augment Haptic Glove aided Control of Robotic Hand
    • [cs.RO]Safety-aware Policy Optimisation for Autonomous Racing
    • [cs.RO]Toward Learning Context-Dependent Tasks from Demonstration for Tendon-Driven Surgical Robots
    • [cs.SD]Towards Identity Preserving Normal to Dysarthric Voice Conversion
    • [cs.SD]Using DeepProbLog to perform Complex Event Processing on an Audio Stream
    • [cs.SI]Role Similarity Metric Based on Spanning Rooted Forest
    • [eess.AS]Don’t speak too fast: The impact of data bias on self-supervised speech models
    • [eess.AS]Neural Dubber: Dubbing for Silent Videos According to Scripts
    • [eess.IV]A deep learning model for classification of diabetic retinopathy in eye fundus images based on retinal lesion detection
    • [eess.IV]Combining CNNs With Transformer for Multimodal 3D MRI Brain Tumor Segmentation With Self-Supervised Pretraining
    • [eess.IV]Multi-modal Aggregation Network for Fast MR Imaging
    • [eess.IV]Prediction of Lung CT Scores of Systemic Sclerosis by Cascaded Regression Neural Networks
    • [eess.IV]Single volume lung biomechanics from chest computed tomography using a mode preserving generative adversarial network
    • [eess.SP]BayesAoA: A Bayesian method for Computation Efficient Angle of Arrival Estimation
    • [eess.SY]A Machine Learning Approach for Delineating Similar Sound Symptoms of Respiratory Conditions on a Smartphone
    • [eess.SY]An Artificial Neural Network-Based Model Predictive Control for Three-phase Flying Capacitor Multi-Level Inverter
    • [math.DG]Convergence of Laplacian Eigenmaps and its Rate for Submanifolds with Singularities
    • [math.OC]Halpern-Type Accelerated and Splitting Algorithms For Monotone Inclusions
    • [math.SG]Areas on the space of smooth probability density functions on 今日学术视野(2021.10.19) - 图2
    • [math.ST]Minimax-robust estimation problems for sequences with periodically stationary increments observed with noise
    • [math.ST]Quickest Inference of Network Cascades with Noisy Information
    • [math.ST]Testing for long-range dependence in non-stationary time series time-varying regression
    • [physics.bio-ph]The Power of Many: A Physarum Swarm Steiner Tree Algorithm
    • [physics.soc-ph]Directed Percolation in Random Temporal Network Models with Heterogeneities
    • [q-bio.QM]A novel framework to quantify uncertainty in peptide-tandem mass spectrum matches with application to nanobody peptide identification
    • [quant-ph]Efficiently Solve the Max-cut Problem via a Quantum Qubit Rotation Algorithm
    • [quant-ph]The Entanglement-Assisted Communication Capacity over Quantum Trajectories
    • [stat.AP]The effect of COVID-19 vaccinations on self-reported depression and anxiety during February 2021
    • [stat.ME]A Distribution-Free Independence Test for High Dimension Data
    • [stat.ME]A new class of 今日学术视野(2021.10.19) - 图3-transformations for the spatial analysis of Compositional Data
    • [stat.ME]Algorithms for Sparse Support Vector Machines
    • [stat.ME]Different coefficients for studying dependence
    • [stat.ME]Fast Online Changepoint Detection via Functional Pruning CUSUM statistics
    • [stat.ME]Fast Partial Quantile Regression
    • [stat.ME]More Efficient, Doubly Robust, Nonparametric Estimators of Treatment Effects in Multilevel Studies
    • [stat.ME]Multiple Observers Ranked Set Samples for Shrinkage Estimators
    • [stat.ME]Multivariate Mean Comparison under Differential Privacy
    • [stat.ME]SAFFRON and LORD Ensure Online Control of the False Discovery Rate Under Positive Dependence
    • [stat.ME]Second-level randomness test based on the Kolmogorov-Smirnov test
    • [stat.ME]Spatially Adaptive Calibrations of AirBox PM今日学术视野(2021.10.19) - 图4 Data
    • [stat.ME]pimeta: an R package of prediction intervals for random-effects meta-analysis
    • [stat.ML]An active learning approach for improving the performance of equilibrium based chemical simulations
    • [stat.ML]Causal Identification with Additive Noise Models: Quantifying the Effect of Noise
    • [stat.ML]Choice functions based multi-objective Bayesian optimisation
    • [stat.ML]Compressive Independent Component Analysis: Theory and Algorithms
    • [stat.ML]Gaussian Process Bandit Optimization with Few Batches
    • [stat.ML]Learning Mean-Field Equations from Particle Data Using WSINDy
    • [stat.ML]Model-Change Active Learning in Graph-Based Semi-Supervised Learning

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

    • [astro-ph.IM]Astronomical source finding services for the CIRASA visual analytic platform
    S. Riggia, C. Bordiu, F. Vitello, G. Tudisco, E. Sciacca, D. Magro, R. Sortino, C. Pino, M. Molinaro, M. Benedettini, S. Leurini, F. Bufano, M. Raciti, U. Becciani
    http://arxiv.org/abs/2110.08211v1

    • [cs.AI]A Survey on State-of-the-art Techniques for Knowledge Graphs Construction and Challenges ahead
    Ali Hur, Naeem Janjua, Mohiuddin Ahmed
    http://arxiv.org/abs/2110.08012v1

    • [cs.AI]Certainty Modeling of a Decision Support System for Mobile Monitoring of Exercise induced Respiratory Conditions
    Chinazunwa Uwaoma, Gunjan. Mansingh
    http://arxiv.org/abs/2110.07898v1

    • [cs.AI]LPRules: Rule Induction in Knowledge Graphs Using Linear Programming
    Sanjeeb Dash, Joao Goncalves
    http://arxiv.org/abs/2110.08245v1

    • [cs.AI]NeuroLKH: Combining Deep Learning Model with Lin-Kernighan-Helsgaun Heuristic for Solving the Traveling Salesman Problem
    Liang Xin, Wen Song, Zhiguang Cao, Jie Zhang
    http://arxiv.org/abs/2110.07983v1

    • [cs.AI]SAT Encodings for Pseudo-Boolean Constraints Together With At-Most-One Constraints
    Miquel Bofill, Jordi Coll, Peter Nightingale, Josep Suy, Felix Ulrich-Oltean, Mateu Villaret
    http://arxiv.org/abs/2110.08068v1

    • [cs.CL]BBQ: A Hand-Built Bias Benchmark for Question Answering
    Alicia Parrish, Angelica Chen, Nikita Nangia, Vishakh Padmakumar, Jason Phang, Jana Thompson, Phu Mon Htut, Samuel R. Bowman
    http://arxiv.org/abs/2110.08193v1

    • [cs.CL]Breaking Down Multilingual Machine Translation
    Ting-Rui Chiang, Yi-Pei Chen, Yi-Ting Yeh, Graham Neubig
    http://arxiv.org/abs/2110.08130v1

    • [cs.CL]Bridging the Gap: Cross-Lingual Summarization with Compression Rate
    Yu Bai, Heyan Huang, Kai Fan, Yang Gao, Zewen Chi, Boxing Chen
    http://arxiv.org/abs/2110.07936v1

    • [cs.CL]Crisis Domain Adaptation Using Sequence-to-sequence Transformers
    Congcong Wang, Paul Nulty, David Lillis
    http://arxiv.org/abs/2110.08015v1

    • [cs.CL]Cross-Domain Data Integration for Named Entity Disambiguation in Biomedical Text
    Maya Varma, Laurel Orr, Sen Wu, Megan Leszczynski, Xiao Ling, Christopher Ré
    http://arxiv.org/abs/2110.08228v1

    • [cs.CL]Cross-Lingual Fine-Grained Entity Typing
    Nila Selvaraj, Yasumasa Onoe, Greg Durrett
    http://arxiv.org/abs/2110.07837v1

    • [cs.CL]DYLE: Dynamic Latent Extraction for Abstractive Long-Input Summarization
    Ziming Mao, Chen Henry Wu, Ansong Ni, Yusen Zhang, Rui Zhang, Tao Yu, Budhaditya Deb, Chenguang Zhu, Ahmed H. Awadallah, Dragomir Radev
    http://arxiv.org/abs/2110.08168v1

    • [cs.CL]DialFact: A Benchmark for Fact-Checking in Dialogue
    Prakhar Gupta, Chien-Sheng Wu, Wenhao Liu, Caiming Xiong
    http://arxiv.org/abs/2110.08222v1

    • [cs.CL]Direct simultaneous speech to speech translation
    Xutai Ma, Hongyu Gong, Danni Liu, Ann Lee, Yun Tang, Peng-Jen Chen, Wei-Ning Hsu, Kenneth Heafield, Phillip Koehn, Juan Pino
    http://arxiv.org/abs/2110.08250v1

    • [cs.CL]End-to-End Segmentation-based News Summarization
    Yang Liu, Chenguang Zhu, Michael Zeng
    http://arxiv.org/abs/2110.07850v1

    • [cs.CL]Estimating the Level and Direction of Phonetic Dialect Change in the Northern Netherlands
    Raoul Buurke, Hedwig Sekeres, Wilbert Heeringa, Remco Knooihuizen, Martijn Wieling
    http://arxiv.org/abs/2110.07918v1

    • [cs.CL]Exploring Low-dimensional Intrinsic Task Subspace via Prompt Tuning
    Yujia Qin, Xiaozhi Wang, Yusheng Su, Yankai Lin, Ning Ding, Zhiyuan Liu, Juanzi Li, Lei Hou, Peng Li, Maosong Sun, Jie Zhou
    http://arxiv.org/abs/2110.07867v1

    • [cs.CL]Few-Shot Bot: Prompt-Based Learning for Dialogue Systems
    Andrea Madotto, Zhaojiang Lin, Genta Indra Winata, Pascale Fung
    http://arxiv.org/abs/2110.08118v1

    • [cs.CL]Generating Natural Language Adversarial Examples through An Improved Beam Search Algorithm
    Tengfei Zhao, Zhaocheng Ge, Hanping Hu, Dingmeng Shi
    http://arxiv.org/abs/2110.08036v1

    • [cs.CL]Hierarchical Curriculum Learning for AMR Parsing
    Peiyi Wang, Liang Chen, Tianyu Liu, Baobao Chang, Zhifang Sui
    http://arxiv.org/abs/2110.07855v1

    • [cs.CL]Hindsight: Posterior-guided training of retrievers for improved open-ended generation
    Ashwin Paranjape, Omar Khattab, Christopher Potts, Matei Zaharia, Christopher D. Manning
    http://arxiv.org/abs/2110.07752v1

    • [cs.CL]Identifying Causal Influences on Publication Trends and Behavior: A Case Study of the Computational Linguistics Community
    Maria Glenski, Svitlana Volkova
    http://arxiv.org/abs/2110.07938v1

    • [cs.CL]Incremental Speech Synthesis For Speech-To-Speech Translation
    Danni Liu, Changhan Wang, Hongyu Gong, Xutai Ma, Yun Tang, Juan Pino
    http://arxiv.org/abs/2110.08214v1

    • [cs.CL]Integrating diverse extraction pathways using iterative predictions for Multilingual Open Information Extraction
    Bhushan Kotnis, Kiril Gashteovski, Carolin Lawrence, Daniel Oñoro Rubio, Vanesa Rodriguez-Tembras, Makoto Takamoto, Mathias Niepert
    http://arxiv.org/abs/2110.08144v1

    • [cs.CL]Jurassic is (almost) All You Need: Few-Shot Meaning-to-Text Generation for Open-Domain Dialogue
    Lena Reed, Cecilia Li, Angela Ramirez, Liren Wu, Marilyn Walker
    http://arxiv.org/abs/2110.08094v1

    • [cs.CL]Kronecker Decomposition for GPT Compression
    Ali Edalati, Marzieh Tahaei, Ahmad Rashid, Vahid Partovi Nia, James J. Clark, Mehdi Rezagholizadeh
    http://arxiv.org/abs/2110.08152v1

    • [cs.CL]Meta-learning via Language Model In-context Tuning
    Yanda Chen, Ruiqi Zhong, Sheng Zha, George Karypis, He He
    http://arxiv.org/abs/2110.07814v1

    • [cs.CL]MixQG: Neural Question Generation with Mixed Answer Types
    Lidiya Murakhovs’ka, Chien-Sheng Wu, Tong Niu, Wenhao Liu, Caiming Xiong
    http://arxiv.org/abs/2110.08175v1

    • [cs.CL]Modeling Endorsement for Multi-Document Abstractive Summarization
    Logan Lebanoff, Bingqing Wang, Zhe Feng, Fei Liu
    http://arxiv.org/abs/2110.07844v1

    • [cs.CL]Modeling Proficiency with Implicit User Representations
    Kim Breitwieser, Allison Lahnala, Charles Welch, Lucie Flek, Martin Potthast
    http://arxiv.org/abs/2110.08011v1

    • [cs.CL]Multilingual Speech Recognition using Knowledge Transfer across Learning Processes
    Rimita Lahiri, Kenichi Kumatani, Eric Sun, Yao Qian
    http://arxiv.org/abs/2110.07909v1

    • [cs.CL]Multimodal Emotion-Cause Pair Extraction in Conversations
    Fanfan Wang, Zixiang Ding, Rui Xia, Zhaoyu Li, Jianfei Yu
    http://arxiv.org/abs/2110.08020v1

    • [cs.CL]RAP: Robustness-Aware Perturbations for Defending against Backdoor Attacks on NLP Models
    Wenkai Yang, Yankai Lin, Peng Li, Jie Zhou, Xu Sun
    http://arxiv.org/abs/2110.07831v1

    • [cs.CL]Rewire-then-Probe: A Contrastive Recipe for Probing Biomedical Knowledge of Pre-trained Language Models
    Zaiqiao Meng, Fangyu Liu, Ehsan Shareghi, Yixuan Su, Charlotte Collins, Nigel Collier
    http://arxiv.org/abs/2110.08173v1

    • [cs.CL]SPoT: Better Frozen Model Adaptation through Soft Prompt Transfer
    Tu Vu, Brian Lester, Noah Constant, Rami Al-Rfou, Daniel Cer
    http://arxiv.org/abs/2110.07904v1

    • [cs.CL]Scribosermo: Fast Speech-to-Text models for German and other Languages
    Daniel Bermuth, Alexander Poeppel, Wolfgang Reif
    http://arxiv.org/abs/2110.07982v1

    • [cs.CL]Socially Aware Bias Measurements for Hindi Language Representations
    Vijit Malik, Sunipa Dev, Akihiro Nishi, Nanyun Peng, Kai-Wei Chang
    http://arxiv.org/abs/2110.07871v1

    • [cs.CL]Sparse Progressive Distillation: Resolving Overfitting under Pr
    119a
    etrain-and-Finetune Paradigm
    Shaoyi Huang, Dongkuan Xu, Ian E. H. Yen, Sung-en Chang, Bingbing Li, Shiyang Chen, Mimi Xie, Hang Liu, Caiwen Ding
    http://arxiv.org/abs/2110.08190v1

    • [cs.CL]Structural Modeling for Dialogue Disentanglement
    Xinbei Ma, Zhuosheng Zhang, Hai Zhao
    http://arxiv.org/abs/2110.08018v1

    • [cs.CL]The World of an Octopus: How Reporting Bias Influences a Language Model’s Perception of Color
    Cory Paik, Stéphane Aroca-Ouellette, Alessandro Roncone, Katharina Kann
    http://arxiv.org/abs/2110.08182v1

    • [cs.CL]Tracing Origins: Coref-aware Machine Reading Comprehension
    Baorong Huang, Zhuosheng Zhang, Hai Zhao
    http://arxiv.org/abs/2110.07961v1

    • [cs.CL]Transformer-based Multi-task Learning for Disaster Tweet Categorisation
    Congcong Wang, Paul Nulty, David Lillis
    http://arxiv.org/abs/2110.08010v1

    • [cs.CL]Tricks for Training Sparse Translation Models
    Dheeru Dua, Shruti Bhosale, Vedanuj Goswami, James Cross, Mike Lewis, Angela Fan
    http://arxiv.org/abs/2110.08246v1

    • [cs.CL]UniDS: A Unified Dialogue System for Chit-Chat and Task-oriented Dialogues
    Xinyan Zhao, Bin He, Yasheng Wang, Yitong Li, Fei Mi, Yajiao Liu, Xin Jiang, Qun Liu, Huanhuan Chen
    http://arxiv.org/abs/2110.08032v1

    • [cs.CL]Why don’t people use character-level machine translation?
    Jindřich Libovický, Helmut Schmid, Alexander Fraser
    http://arxiv.org/abs/2110.08191v1

    • [cs.CL]mLUKE: The Power of Entity Representations in Multilingual Pretrained Language Models
    Ryokan Ri, Ikuya Yamada, Yoshimasa Tsuruoka
    http://arxiv.org/abs/2110.08151v1

    • [cs.CR]A Modern Analysis of Aging Machine Learning Based IoT Cybersecurity Methods
    Sam Strecker, Rushit Dave, Nyle Siddiqui, Naeem Seliya
    http://arxiv.org/abs/2110.07832v1

    • [cs.CR]Assessing Risks and Modeling Threats in the Internet of Things
    Paul Griffioen, Bruno Sinopoli
    http://arxiv.org/abs/2110.07771v1

    • [cs.CR]Hand Me Your PIN! Inferring ATM PINs of Users Typing with a Covered Hand
    Matteo Cardaioli, Stefano Cecconello, Mauro Conti, Simone Milani, Stjepan Picek, Eugen Saraci
    http://arxiv.org/abs/2110.08113v1

    • [cs.CR]Machine Learning Algorithms In User Authentication Schemes
    Laura Pryor, Dr. Rushit Dave, Dr. Naeem Seliya, Dr. Evelyn R Sowells Boone
    http://arxiv.org/abs/2110.07826v1

    • [cs.CR]Textual Backdoor Attacks Can Be More Harmful via Two Simple Tricks
    Yangyi Chen, Fanchao Qi, Zhiyuan Liu, Maosong Sun
    http://arxiv.org/abs/2110.08247v1

    • [cs.CV]“Knights”: First Place Submission for VIPriors21 Action Recognition Challenge at ICCV 2021
    Ishan Dave, Naman Biyani, Brandon Clark, Rohit Gupta, Yogesh Rawat, Mubarak Shah
    http://arxiv.org/abs/2110.07758v1

    • [cs.CV]3D Reconstruction of Curvilinear Structures with Stereo Matching DeepConvolutional Neural Networks
    Okan Altingövde, Anastasiia Mishchuk, Gulnaz Ganeeva, Emad Oveisi, Cecile Hebert, Pascal Fua
    http://arxiv.org/abs/2110.07766v1

    • [cs.CV]4D flight trajectory prediction using a hybrid Deep Learning prediction method based on ADS-B technology: a case study of Hartsfield-Jackson Atlanta International Airport(ATL)
    Hesam Sahfienya, Amelia C. Regan
    http://arxiv.org/abs/2110.07774v1

    • [cs.CV]Accurate Fine-grained Layout Analysis for the Historical Tibetan Document Based on the Instance Segmentation
    Penghai Zhao, Weilan Wang, Xiaojuan Wang, Zhengqi Cai, Guowei Zhang, Yuqi Lu
    http://arxiv.org/abs/2110.08164v1

    • [cs.CV]Active Learning for Improved Semi-Supervised Semantic Segmentation in Satellite Images
    Shasvat Desai, Debasmita Ghose
    http://arxiv.org/abs/2110.07782v1

    • [cs.CV]Advances and Challenges in Deep Lip Reading
    Marzieh Oghbaie, Arian Sabaghi, Kooshan Hashemifard, Mohammad Akbari
    http://arxiv.org/abs/2110.07879v1

    • [cs.CV]Adversarial Attacks on ML Defense Models Competition
    Yinpeng Dong, Qi-An Fu, Xiao Yang, Wenzhao Xiang, Tianyu Pang, Hang Su, Jun Zhu, Jiayu Tang, Yuefeng Chen, XiaoFeng Mao, Yuan He, Hui Xue, Chao Li, Ye Liu, Qilong Zhang, Lianli Gao, Yunrui Yu, Xitong Gao, Zhe Zhao, Daquan Lin, Jiadong Lin, Chuanbiao Song, Zihao Wang, Zhennan Wu, Yang Guo, Jiequan Cui, Xiaogang Xu, Pengguang Chen
    http://arxiv.org/abs/2110.08042v1

    • [cs.CV]Adversarial Purification through Representation Disentanglement
    Tao Bai, Jun Zhao, Lanqing Guo, Bihan Wen
    http://arxiv.org/abs/2110.07801v1

    • [cs.CV]Attention meets Geometry: Geometry Guided Spatial-Temporal Attention for Consistent Self-Supervised Monocular Depth Estimation
    Patrick Ruhkamp, Daoyi Gao, Hanzhi Chen, Nassir Navab, Benjamin Busam
    http://arxiv.org/abs/2110.08192v1

    • [cs.CV]Augmenting Imitation Experience via Equivariant Representations
    Dhruv Sharma, Alihusein Kuwajerwala, Florian Shkurti
    http://arxiv.org/abs/2110.07668v1

    • [cs.CV]Automated Quality Control of Vacuum Insulated Glazing by Convolutional Neural Network Image Classification
    Henrik Riedel, Sleheddine Mokdad, Isabell Schulz, Cenk Kocer, Philipp Rosendahl, Jens Schneider, Michael A. Kraus, Michael Drass
    http://arxiv.org/abs/2110.08079v1

    • [cs.CV]Crop Rotation Modeling for Deep Learning-Based Parcel Classification from Satellite Time Series
    Félix Quinton, Loic Landrieu
    http://arxiv.org/abs/2110.08187v1

    • [cs.CV]DG-Labeler and DGL-MOTS Dataset: Boost the Autonomous Driving Perception
    Yiming Cui, Zhiwen Cao, Yixin Xie, Xingyu Jiang, Feng Tao, Yingjie Chen, Lin Li, Dongfang Liu
    http://arxiv.org/abs/2110.07790v1

    • [cs.CV]Data Generation using Texture Co-occurrence and Spatial Self-Similarity for Debiasing
    Myeongkyun Kang, Dongkyu Won, Miguel Luna, Kyung Soo Hong, June Hong Ahn, Sang Hyun Park
    http://arxiv.org/abs/2110.07920v1

    • [cs.CV]EFENet: Reference-based Video Super-Resolution with Enhanced Flow Estimation
    Yaping Zhao, Mengqi Ji, Ruqi Huang, Bin Wang, Shengjin Wang
    http://arxiv.org/abs/2110.07797v1

    • [cs.CV]Fire Together Wire Together: A Dynamic Pruning Approach with Self-Supervised Mask Prediction
    Sara Elkerdawy, Mostafa Elhoushi, Hong Zhang, Nilanjan Ray
    http://arxiv.org/abs/2110.08232v1

    • [cs.CV]FlexConv: Continuous Kernel Convolutions with Differentiable Kernel Sizes
    David W. Romero, Robert-Jan Bruintjes, Jakub M. Tomczak, Erik J. Bekkers, Mark Hoogendoorn, Jan C. van Gemert
    http://arxiv.org/abs/2110.08059v1

    • [cs.CV]Gait-based Frailty Assessment using Image Representation of IMU Signals and Deep CNN
    Muhammad Zeeshan Arshad, Dawoon Jung, Mina Park, Hyungeun Shin, Jinwook Kim, Kyung-Ryoul Mun
    http://arxiv.org/abs/2110.07821v1

    • [cs.CV]Guided Point Contrastive Learning for Semi-supervised Point Cloud Semantic Segmentation
    Li Jiang, Shaoshuai Shi, Zhuotao Tian, Xin Lai, Shu Liu, Chi-Wing Fu, Jiaya Jia
    http://arxiv.org/abs/2110.08188v1

    • [cs.CV]Improving Unsupervised Domain Adaptive Re-Identification via Source-Guided Selection of Pseudo-Labeling Hyperparameters
    Fabian Dubourvieux, Angélique Loesch, Romaric Audigier, Samia Ainouz, Stéphane Canu
    http://arxiv.org/abs/2110.07897v1

    • [cs.CV]Joint Channel and Weight Pruning for Model Acceleration on Moblie Devices
    Tianli Zhao, Xi Sheryl Zhang, Wentao Zhu, Jiaxing Wang, Ji Liu, Jian Cheng
    http://arxiv.org/abs/2110.08013v1

    • [cs.CV]Learning to Infer Kinematic Hierarchies for Novel Object Instances
    Hameed Abdul-Rashid, Miles Freeman, Ben Abbatematteo, George Konidaris, Daniel Ritchie
    http://arxiv.org/abs/2110.07911v1

    • [cs.CV]Multi-Tailed, Multi-Headed, Spatial Dynamic Memory refined Text-to-Image Synthesis
    Amrit Diggavi Seshadri, Balaraman Ravindran
    http://arxiv.org/abs/2110.08143v1

    • [cs.CV]NeuroView: Explainable Deep Network Decision Making
    CJ Barberan, Randall Balestriero, Richard G. Baraniuk
    http://arxiv.org/abs/2110.07778v1

    • [cs.CV]Occupancy Estimation from Thermal Images
    Zishan Qin, Dipankar Chaki, Abdallah Lakhdari, Amani Abusafia, Athman Bouguettaya
    http://arxiv.org/abs/2110.07796v1

    • [cs.CV]On Generating Identifiable Virtual Faces
    Zhuowen Yuan, Sheng Li, Xinpeng Zhang, Zhenxin Qian, Alex Kot
    http://arxiv.org/abs/2110.07986v1

    • [cs.CV]PTQ-SL: Exploring the Sub-layerwise Post-training Quantization
    Zhihang Yuan, Yiqi Chen, Chenhao Xue, Chenguang Zhang, Qiankun Wang, Qiankun Wang, Guangyu Sun
    http://arxiv.org/abs/2110.07809v1

    • [cs.CV]Performance, Successes and Limitations of Deep Learning Semantic Segmentation of Multiple Defects in Transmission Electron Micrographs
    Ryan Jacobs, Mingren Shen, Yuhan Liu, Wei Hao, Xiaoshan Li, Ruoyu He, Jacob RC Greaves, Donglin Wang, Zeming Xie, Zitong Huang, Chao Wang, Kevin G. Field, Dane Morgan
    http://arxiv.org/abs/2110.08244v1

    • [cs.CV]PolyNet: Polynomial Neural Network for 3D Shape Recognition with PolyShape Representation
    Mohsen Yavartanoo, Shih-Hsuan Hung, Reyhaneh Neshatavar, Yue Zhang, Kyoung Mu Lee
    http://arxiv.org/abs/2110.07882v1

    • [cs.CV]Pose-guided Generative Adversarial Net for Novel View Action Synthesis
    Xianhang Li, Junhao Zhang, Kunchang Li, Shruti Vyas, Yogesh S Rawat
    http://arxiv.org/abs/2110.07993v1

    • [cs.CV]Pyramid Correlation based Deep Hough Voting for Visual Object Tracking
    Ying Wang, Tingfa Xu, Jianan Li, Shenwang Jiang, Junjie Chen
    http://arxiv.org/abs/2110.07994v1

    • [cs.CV]Receptive Field Broadening and Boosting for Salient Object Detection
    Mingcan Ma, Changqun Xia, Chenxi Xie, Xiaowu Chen, Jia Li
    http://arxiv.org/abs/2110.07859v1

    • [cs.CV]Relation Preserving Triplet Mining for Stabilizing the Triplet Loss in Vehicle Re-identification
    Adhiraj Ghosh, Kuruparan Shanmugalingam, Wen-Yan Lin
    http://arxiv.org/abs/2110.07933v1

    • [cs.CV]Shaping embodied agent behavior with activity-context priors from egocentric video
    Tushar Nagarajan, Kristen Grauman
    http://arxiv.org/abs/2110.07692v1

    • [cs.CY]Dynamics of Cross-Platform Attention to Retracted Papers: Pervasiveness, Audience Skepticism, and Timing of Retractions
    Hao Peng, Daniel M. Romero, Emőke-Ágnes Horvát
    http://arxiv.org/abs/2110.07798v1

    • [cs.DC]Metrics and Design of an Instruction Roofline Model for AMD GPUs
    Matthew Leinhauser, René Widera, Sergei Bastrakov, Alexander Debus, Michael Bussmann, Sunita Chandrasekaran
    http://arxiv.org/abs/2110.08221v1

    • [cs.ET]Design Technology Co-Optimization for Neuromorphic Computing
    Ankita Paul, Shihao Song, Anup Das
    http://arxiv.org/abs/2110.08131v1

    • [cs.IR]Exposing Query Identification for Search Transparency
    Ruohan Li, Jianxiang Li, Bhaskar Mitra, Fernando Diaz, Asia J. Biega
    http://arxiv.org/abs/2110.07701v1

    • [cs.IR]Intent-based Product Collections for E-commerce using Pretrained Language Models
    Hiun Kim, Jisu Jeong, Kyung-Min Kim, Dongjun Lee, Hyun Dong Lee, Dongpil Seo, Jeeseung Han, Dong Wook Park, Ji Ae Heo, Rak Yeong Kim
    http://arxiv.org/abs/2110.08241v1

    • [cs.IR]Web Search via an Efficient and Effective Brain-Machine Interface
    Xuesong Chen, Ziyi Ye, Xiaohui Xie, Yiqun Liu, Weihang Su, Shuqi Zhu, Min Zhang, Shaoping Ma
    http://arxiv.org/abs/2110.07225v2

    • [cs.IT]今日学术视野(2021.10.19) - 图5 — Online Policies and Fundamental Limits
    Samrat Mukhopadhyay, Sourav Sahoo, Abhishek Sinha
    http://arxiv.org/abs/2110.07881v1

    • [cs.IT]Achievable Secrecy Rate for the Relay Eavesdropper Channel with Non-Causal State Available at Transmitter and Relay
    Nematollah Zarmehi
    http://arxiv.org/abs/2110.07977v1

    • [cs.IT]Channel Eigenvalues and Effective Degrees of Freedom of Reconfigurable Intelligent Surfaces
    Shu Sun
    http://arxiv.org/abs/2110.07947v1

    • [cs.IT]Cooperative Localization in Massive Networks
    Yifeng Xiong, Nan Wu, Yuan Shen, Moe Z. Win
    http://arxiv.org/abs/2110.08062v1

    • [cs.IT]Distributed Resource Allocation Optimization for User-Centric Cell-Free MIMO Networks
    Hussein A. Ammar, Raviraj Adve, Shahram Shahbazpanahi, Gary Boudreau, Kothapalli Venkata Srinivas
    http://arxiv.org/abs/2110.08154v1

    • [cs.IT]Hardware Architecture of Layered Decoders for PLDPC-Hadamard Codes
    Peng W. Zhang, Francis C. M. Lau, Chiu-W. Sham
    http://arxiv.org/abs/2110.07906v1

    • [cs.IT]Linear maximum rank distance codes of exceptional type
    Daniele Bartoli, Giovanni Zini, Ferdinando Zullo
    http://arxiv.org/abs/2110.08102v1

    • [cs.IT]Meta-Reinforcement Learning Based Resource Allocation for Dynamic V2X Communications
    Yi Yuan, Gan Zheng, Kai-Kit Wong, Khaled B. Letaief
    http://arxiv.org/abs/2110.07734v1

    • [cs.IT]On proportional fairness of uplink spectral efficiency in cell-free massive MIMO systems
    Viet Quoc Pham, Ha Hoang Kha, Le Ty Khanh
    http://arxiv.org/abs/2110.07885v1

    • [cs.IT]Optimal Distribution Design for Irregular Repetition Slotted ALOHA with Multi-Packet Reception
    Zhengchuan Chen, Yifan Feng, Chundie Feng, Liang Liang, Yunjian Jia, Tony Q. S. Quek
    http://arxiv.org/abs/2110.08166v1

    • [cs.IT]Performance Analysis of a MIMO System with Bursty Traffic in the presence of Energy Harvesting Jammer
    Sujatha Allipuram, Parthajit Mohapatra, Nikolaos Pappas, Shabnam Parmar, Saswat Chakrabarti
    http://arxiv.org/abs/2110.07678v1

    • [cs.LG]A Dual-Perception Graph Neural Network with Multi-hop Graph Generator
    Li Zhou, Wenyu Chen, Dingyi Zeng, Shaohuan Cheng, Wanlong Liu, Hong Qu
    http://arxiv.org/abs/2110.07869v1

    • [cs.LG]A Survey of Evolutionary Multi-Objective Clustering Approaches
    Cristina Y. Morimoto, Aurora Pozo, Marcílio C. P. de Souto
    http://arxiv.org/abs/2110.08100v1

    • [cs.LG]ACE-HGNN: Adaptive Curvature Exploration Hyperbolic Graph Neural Network
    Xingcheng Fu, Jianxin Li, Jia Wu, Qingyun Sun, Cheng Ji, Senzhang Wang, Jiajun Tan, Hao Peng, Philip S. Yu
    http://arxiv.org/abs/2110.07888v1

    • [cs.LG]Almost Optimal Batch-Regret Tradeoff for Batch Linear Contextual Bandits
    Zihan Zhang, Xiangyang Ji, Yuan Zhou
    http://arxiv.org/abs/2110.08057v1

    • [cs.LG]Collaborating with Humans without Human Data
    DJ Strouse, Kevin R. McKee, Matt Botvinick, Edward Hughes, Richard Everett
    http://arxiv.org/abs/2110.08176v1

    • [cs.LG]Combining Diverse Feature Priors
    Saachi Jain, Dimitris Tsipras, Aleksander Madry
    http://arxiv.org/abs/2110.08220v1

    • [cs.LG]Containerized Distributed Value-Based Multi-Agent Reinforcement Learning
    Siyang Wu, Tonghan Wang, Chenghao Li, Chongjie Zhang
    http://arxiv.org/abs/2110.08169v1

    • [cs.LG]Detecting Modularity in Deep Neural Networks
    Shlomi Hod, Stephen Casper, Daniel Filan, Cody Wild, Andrew Critch, Stuart Russell
    http://arxiv.org/abs/2110.08058v1

    • [cs.LG]Equivariant and Invariant Reynolds Networks
    Akiyoshi Sannai, Makoto Kawano, Wataru Kumagai
    http://arxiv.org/abs/2110.08092v1

    • [cs.LG]Evaluation of Hyperparameter-Optimization Approaches in an Industrial Federated Learning System
    Stephanie Holly, Thomas Hiessl, Safoura Rezapour Lakani, Daniel Schall, Clemens Heitzinger, Jana Kemnitz
    http://arxiv.org/abs/2110.08202v1

    • [cs.LG]FOLD-R++: A Toolset for Automated Inductive Learning of Default Theories from Mixed Data
    Huaduo Wang, Gopal Gupta
    http://arxiv.org/abs/2110.07843v1

    • [cs.LG]FedMe: Federated Learning via Model Exchange
    Koji Matsuda, Yuya Sasaki, Chuan Xiao, Makoto Onizuka
    http://arxiv.org/abs/2110.07868v1

    • [cs.LG]FedSEAL: Semi-Supervised Federated Learning with Self-Ensemble Learning and Negative Learning
    Jieming Bian, Zhu Fu, Jie Xu
    http://arxiv.org/abs/2110.07829v1

    • [cs.LG]Gradient Descent on Infinitely Wide Neural Networks: Global Convergence and Generalization
    Francis Bach, Lenaïc Chizat
    http://arxiv.org/abs/2110.08084v1

    • [cs.LG]Graph Neural Networks with Learnable Structural and Positional Representations
    Vijay Prakash Dwivedi, Anh Tuan Luu, Thomas Laurent, Yoshua Bengio, Xavier Bresson
    http://arxiv.org/abs/2110.07875v1

    • [cs.LG]Guiding Visual Question Generation
    Nihir Vedd, Zixu Wang, Marek Rei, Yishu Miao, Lucia Specia
    http://arxiv.org/abs/2110.08226v1

    • [cs.LG]Identifying Incorrect Classifications with Balanced Uncertainty
    Bolian Li, Zige Zheng, Changqing Zhang
    http://arxiv.org/abs/2110.08030v1

    • [cs.LG]Improving Hyperparameter Optimization by Planning Ahead
    Hadi S. Jomaa, Jonas Falkner, Lars Schmidt-Thieme
    http://arxiv.org/abs/2110.08028v1

    • [cs.LG]Interpretable Neural Networks with Frank-Wolfe: Sparse Relevance Maps and Relevance Orderings
    Jan Macdonald, Mathieu Besançon, Sebastian Pokutta
    http://arxiv.org/abs/2110.08105v1

    • [cs.LG]Label-Wise Message Passing Graph Neural Network on Heterophilic Graphs
    Enyan Dai, Zhimeng Guo, Suhang Wang
    http://arxiv.org/abs/2110.08128v1

    • [cs.LG]Learn Proportional Derivative Controllable Latent Space from Pixels
    Weiyao Wang, Marin Kobilarov, Gregory D. Hager
    http://arxiv.org/abs/2110.08239v1

    • [cs.LG]Leveraging Spatial and Temporal Correlations in Sparsified Mean Estimation
    Divyansh Jhunjhunwala, Ankur Mallick, Advait Gadhikar, Swanand Kadhe, Gauri Joshi
    http://arxiv.org/abs/2110.07751v1

    • [cs.LG]Low-rank Matrix Recovery With Unknown Correspondence
    Zhiwei Tang, Tsung-Hui Chang, Xiaojing Ye, Hongyuan Zha
    http://arxiv.org/abs/2110.07959v1

    • [cs.LG]MaGNET: Uniform Sampling from Deep Generative Network Manifolds Without Retraining
    Ahmed Imtiaz Humayun, Randall Balestriero, Richard Baraniuk
    http://arxiv.org/abs/2110.08009v1

    • [cs.LG]Multitask Prompted Training Enables Zero-Shot Task Generalization
    Victor Sanh, Albert Webson, Colin Raffel, Stephen H. Bach, Lintang Sutawika, Zaid Alyafeai, Antoine Chaffin, Arnaud Stiegler, Teven Le Scao, Arun Raja, Manan Dey, M Saiful Bari, Canwen Xu, Urmish Thakker, Shanya Sharma Sharma, Eliza Szczechla, Taewoon Kim, Gunjan Chhablani, Nihal Nayak, Debajyoti Datta, Jonathan Chang, Mike Tian-Jian Jiang, Han Wang, Matteo Manica, Sheng Shen, Zheng Xin Yong, Harshit Pandey, Rachel Bawden, Thomas Wang, Trishala Neeraj, Jos Rozen, Abheesht Sharma, Andrea Santilli, Thibault Fevry, Jason Alan Fries, Ryan Teehan, Stella Biderman, Leo Gao, Tali Bers, Thomas Wolf, Alexander M. Rush
    http://arxiv.org/abs/2110.08207v1

    • [cs.LG]NNK-Means: Dictionary Learning using Non-Negative Kernel regression
    Sarath Shekkizhar, Antonio Ortega
    http://arxiv.org/abs/2110.08212v1

    • [cs.LG]On Extending Amdahl’s law to Learn Computer Performance
    Chaitanya Poolla, Rahul Saxena
    http://arxiv.org/abs/2110.07822v1

    • [cs.LG]On-Policy Model Errors in Reinforcement Learning
    Lukas P. Fröhlich, Maksym Lefarov, Melanie N. Zeilinger, Felix Berkenkamp
    http://arxiv.org/abs/2110.07985v1

    • [cs.LG]Propagation on Multi-relational Graphs for Node Regression
    Eda Bayram
    http://arxiv.org/abs/2110.08185v1

    • [cs.LG]Reappraising Domain Generalization in Neural Networks
    Sarath Sivaprasad, Akshay Goindani, Vaibhav Garg, Vineet Gandhi
    http://arxiv.org/abs/2110.07981v1

    • [cs.LG]Residual2Vec: Debiasing graph embedding with random graphs
    Sadamori Kojaku, Jisung Yoon, Isabel Constantino, Yong-Yeol Ahn
    http://arxiv.org/abs/2110.07654v1

    • [cs.LG]SaLinA: Sequential Learning of Agents
    Ludovic Denoyer, Alfredo de la Fuente, Song Duong, Jean-Baptiste Gaya, Pierre-Alexandre Kamienny, Daniel H. Thompson
    http://arxiv.org/abs/2110.07910v1

    • [cs.LG]Scalable Causal Structure Learning: New Opportunities in Biomedicine
    Pulakesh Upadhyaya, Kai Zhang, Can Li, Xiaoqian Jiang, Yejin Kim
    http://arxiv.org/abs/2110.07785v1

    • [cs.LG]Shared Visual Representations of Drawing for Communication: How do different biases affect human interpretability and intent?
    Daniela Mihai, Jonathon Hare
    http://arxiv.org/abs/2110.08203v1

    • [cs.LG]StreaMulT: Streaming Multimodal Transformer for Heterogeneous and Arbitrary Long Sequential Data
    Victor Pellegrain, Myriam Tami, Michel Batteux, Céline Hudelot
    http://arxiv.org/abs/2110.08021v1

    • [cs.LG]The Neural Data Router: Adaptive Control Flow in Transformers Improves Systematic Generalization
    Róbert Csordás, Kazuki Irie, Jürgen Schmidhuber
    http://arxiv.org/abs/2110.07732v1

    • [cs.LG]Towards Better Plasticity-Stability Trade-off in Incremental Learning: A simple Linear Connector
    Guoliang Lin, Hanglu Chu, Hanjiang Lai
    http://arxiv.org/abs/2110.07905v1

    • [cs.LG]Towards Statistical and Computational Complexities of Polyak Step Size Gradient Descent
    Tongzheng Ren, Fuheng Cui, Alexia Atsidakou, Sujay Sanghavi, Nhat Ho
    http://arxiv.org/abs/2110.07810v1

    • [cs.LG]Trade-offs of Local SGD at Scale: An Empirical Study
    Jose Javier Gonzalez Ortiz, Jonathan Frankle, Mike Rabbat, Ari Morcos, Nicolas Ballas
    http://arxiv.org/abs/2110.08133v1

    • [cs.LG]Transforming Autoregression: Interpretable and Expressive Time Series Forecast
    David Rügamer, Philipp F. M. Baumann, Thomas Kneib, Torsten Hothorn
    http://arxiv.org/abs/2110.08248v1

    • [cs.LG]Understanding and Improving Robustness of Vision Transformers through Patch-based Negative Augmentation
    Yao Qin, Chiyuan Zhang, Ting Chen, Balaji Lakshminarayanan, Alex Beutel, Xuezhi Wang
    http://arxiv.org/abs/2110.07858v1

    • [cs.LG]VICause: Simultaneous Missing Value Imputation and Causal Discovery with Groups
    Pablo Morales-Alvarez, Angus Lamb, Simon Woodhead, Simon Peyton Jones, Miltiadis Allamanis, Cheng Zhang
    http://arxiv.org/abs/2110.08223v1

    • [cs.LG]Value Penalized Q-Learning for Recommender Systems
    Chengqian Gao, Ke Xu, Peilin Zhao
    http://arxiv.org/abs/2110.07923v1

    • [cs.LG]Wasserstein Unsupervised Reinforcement Learning
    Shuncheng He, Yuhang Jiang, Hongchang Zhang, Jianzhun Shao, Xiangyang Ji
    http://arxiv.org/abs/2110.07940v1

    • [cs.MA]Simulation of emergence in artificial societies: a practical model-based approach with the EB-DEVS formalism
    Daniel Foguelman, Esteban Lanzarotti, Emanuel Ferreyra, Rodrigo Castro
    http://arxiv.org/abs/2110.08170v1

    • [cs.NE]Benchmark Problems for CEC2021 Competition on Evolutionary Transfer Multiobjectve Optimization
    Songbai Liu, Qiuzhen Lin, Kay Chen Tan, Qing Li
    http://arxiv.org/abs/2110.08033v1

    • [cs.NE]Effects of Different Optimization Formulations in Evolutionary Reinforcement Learning on Diverse Behavior Generation
    Victor Villin, Naoki Masuyama, Yusuke Nojima
    http://arxiv.org/abs/2110.08122v1

    • [cs.NE]Evolving spiking neuron cellular automata and networks to emulate in vitro neuronal activity
    Jørgen Jensen Farner, Håkon Weydahl, Ruben Jahren, Ola Huse Ramstad, Stefano Nichele, Kristine Heiney
    http://arxiv.org/abs/2110.08242v1

    • [cs.RO]A Broad-persistent Advising Approach for Deep Interactive Reinforcement Learning in Robotic Environments
    Hung Son Nguyen, Francisco Cruz, Richard Dazeley
    http://arxiv.org/abs/2110.08003v1

    • [cs.RO]Anomaly Detection in Multi-Agent Trajectories for Automated Driving
    Julian Wiederer, Arij Bouazizi, Marco Troina, Ulrich Kressel, Vasileios Belagiannis
    http://arxiv.org/abs/2110.07922v1

    • [cs.RO]Dual-Arm Adversarial Robot Learning
    Elie Aljalbout
    http://arxiv.org/abs/2110.08066v1

    • [cs.RO]Estimation and Prediction of Deterministic Human Intent Signal to augment Haptic Glove aided Control of Robotic Hand
    Rajesh Kumar, Pimmy Gandotra, Brejesh Lall, Arzad A. Kherani, Sudipto Mukherjee
    http://arxiv.org/abs/2110.07953v1

    • [cs.RO]Safety-aware Policy Optimisation for Autonomous Racing
    Bingqing Chen, Jonathan Francis, James Herman, Jean Oh, Eric Nyberg, Sylvia L. Herbert
    http://arxiv.org/abs/2110.07699v1

    • [cs.RO]Toward Learning Context-Dependent Tasks from Demonstration for Tendon-Driven Surgical Robots
    Yixuan Huang, Michael Bentley, Tucker Hermans, Alan Kuntz
    http://arxiv.org/abs/2110.07789v1

    • [cs.SD]Towards Identity Preserving Normal to Dysarthric Voice Conversion
    Wen-Chin Huang, Bence Mark Halpern, Lester Phillip Violeta, Odette Scharenborg, Tomoki Toda
    http://arxiv.org/abs/2110.08213v1

    • [cs.SD]Using DeepProbLog to perform Complex Event Processing on an Audio Stream
    Marc Roig Vilamala, Tianwei Xing, Harrison Taylor, Luis Garcia, Mani Srivastava, Lance Kaplan, Alun Preece, Angelika Kimmig, Federico Cerutti
    http://arxiv.org/abs/2110.08090v1

    • [cs.SI]Role Similarity Metric Based on Spanning Rooted Forest
    Qi Bao, Zhongzhi Zhang
    http://arxiv.org/abs/2110.07872v1

    • [eess.AS]Don’t speak too fast: The impact of data bias on self-supervised speech models
    Yen Meng, Yi-Hui Chou, Andy T. Liu, Hung-yi Lee
    http://arxiv.org/abs/2110.07957v1

    • [eess.AS]Neural Dubber: Dubbing for Silent Videos According to Scripts
    Chenxu Hu, Qiao Tian, Tingle Li, Yuping Wang, Yuxuan Wang, Hang Zhao
    http://arxiv.org/abs/2110.08243v1

    • [eess.IV]A deep learning model for classification of diabetic retinopathy in eye fundus images based on retinal lesion detection
    Melissa delaPava, Hernán Ríos, Francisco J. Rodríguez, Oscar J. Perdomo, Fabio A. González
    http://arxiv.org/abs/2110.07745v1

    • [eess.IV]Combining CNNs With Transformer for Multimodal 3D MRI Brain Tumor Segmentation With Self-Supervised Pretraining
    Mariia Dobko, Danylo-Ivan Kolinko, Ostap Viniavskyi, Yurii Yelisieiev
    http://arxiv.org/abs/2110.07919v1

    • [eess.IV]Multi-modal Aggregation Network for Fast MR Imaging
    Chun-Mei Feng, Huazhu Fe, Tianfei Zhou, Yong Xu, Ling Shao, David Zhang
    http://arxiv.org/abs/2110.08080v1

    • [eess.IV]Prediction of Lung CT Scores of Systemic Sclerosis by Cascaded Regression Neural Networks
    Jingnan Jia, Marius Staring, Irene Hernández-Girón, Lucia J. M. Kroft, Anne A. Schouffoer, Berend C. Stoel
    http://arxiv.org/abs/2110.08085v1

    • [eess.IV]Single volume lung biomechanics from chest computed tomography using a mode preserving generative adversarial network
    Muhammad F. A. Chaudhary, Sarah E. Gerard, Di Wang, Gary E. Christensen, Christopher B. Cooper, Joyce D. Schroeder, Eric A. Hoffman, Joseph M. Reinhardt
    http://arxiv.org/abs/2110.07878v1

    • [eess.SP]BayesAoA: A Bayesian method for Computation Efficient Angle of Arrival Estimation
    Akshay Sharma, Nancy Nayak, Sheetal Kalyani
    http://arxiv.org/abs/2110.07992v1

    • [eess.SY]A Machine Learning Approach for Delineating Similar Sound Symptoms of Respiratory Conditions on a Smartphone
    Chinazunwa Uwaoma, Gunjan Mansingh
    http://arxiv.org/abs/2110.07895v1

    • [eess.SY]An Artificial Neural Network-Based Model Predictive Control for Three-phase Flying Capacitor Multi-Level Inverter
    Parisa Boodaghi Malidarreh, Abualkasim Bakeer, Ihab S. Mohamed, Lantao Liu
    http://arxiv.org/abs/2110.08101v1

    • [math.DG]Convergence of Laplacian Eigenmaps and its Rate for Submanifolds with Singularities
    Masayuki Aino
    http://arxiv.org/abs/2110.08138v1

    • [math.OC]Halpern-Type Accelerated and Splitting Algorithms For Monotone Inclusions
    Quoc Tran-Dinh, Yang Luo
    http://arxiv.org/abs/2110.08150v1

    • [math.SG]Areas on the space of smooth probability density functions on 今日学术视野(2021.10.19) - 图6
    J. C. Ruíz-Pantaleón, P. Suárez-Serrato
    http://arxiv.org/abs/2110.07773v1

    • [math.ST]Minimax-robust estimation problems for sequences with periodically stationary increments observed with noise
    Maksym Luz, Mikhail Moklyachuk
    http://arxiv.org/abs/2110.07952v1

    • [math.ST]Quickest Inference of Network Cascades with Noisy Information
    Anirudh Sridhar, H. Vincent Poor
    http://arxiv.org/abs/2110.08115v1

    • [math.ST]Testing for long-range dependence in non-stationary time series time-varying regression
    Lujia Bai, Weichi Wu
    http://arxiv.org/abs/2110.08089v1

    • [physics.bio-ph]The Power of Many: A Physarum Swarm Steiner Tree Algorithm
    Sheryl Hsu, Fidel I. Schaposnik Massolo, Laura P. Schaposnik
    http://arxiv.org/abs/2110.08233v1

    • [physics.soc-ph]Directed Percolation in Random Temporal Network Models with Heterogeneities
    Arash Badie-Modiri, Abbas K. Rizi, Márton Karsai, Mikko Kivelä
    http://arxiv.org/abs/2110.07698v1

    • [q-bio.QM]A novel framework to quantify uncertainty in peptide-tandem mass spectrum matches with application to nanobody peptide identification
    Chris McKennan, Zhe Sang, Yi Shi
    http://arxiv.org/abs/2110.07818v1

    • [quant-ph]Efficiently Solve the Max-cut Problem via a Quantum Qubit Rotation Algorithm
    Xin Wang
    http://arxiv.org/abs/2110.08016v1

    • [quant-ph]The Entanglement-Assisted Communication Capacity over Quantum Trajectories
    Daryus Chandra, Marcello Caleffi, Angela Sara Cacciapuoti
    http://arxiv.org/abs/2110.08078v1

    • [stat.AP]The effect of COVID-19 vaccinations on self-reported depression and anxiety during February 2021
    Max Rubinstein, Amelia Haviland
    http://arxiv.org/abs/2110.06834v2

    • [stat.ME]A Distribution-Free Independence Test for High Dimension Data
    Zhanrui Cai, Jing Lei, Kathryn Roeder
    http://arxiv.org/abs/2110.07652v1

    • [stat.ME]A new class of 今日学术视野(2021.10.19) - 图7-transformations for the spatial analysis of Compositional Data
    Lucia Clarotto, Denis Allard, Alessandra Menafoglio
    http://arxiv.org/abs/2110.07967v1

    • [stat.ME]Algorithms for Sparse Support Vector Machines
    Alfonso Landeros, Kenneth Lange
    http://arxiv.org/abs/2110.07691v1

    • [stat.ME]Different coefficients for studying dependence
    Oona Rainio
    http://arxiv.org/abs/2110.07928v1

    • [stat.ME]Fast Online Changepoint Detection via Functional Pruning CUSUM statistics
    Gaetano Romano, Idris Eckley, Paul Fearnhead, Guillem Rigaill
    http://arxiv.org/abs/2110.08205v1

    • [stat.ME]Fast Partial Quantile Regression
    Alvaro Mendez Civieta, M. Carmen Aguilera-Morillo, Rosa E. Lillo
    http://arxiv.org/abs/2110.07998v1

    • [stat.ME]More Efficient, Doubly Robust, Nonparametric Estimators of Treatment Effects in Multilevel Studies
    Chan Park, Hyunseung Kang
    http://arxiv.org/abs/2110.07740v1

    • [stat.ME]Multiple Observers Ranked Set Samples for Shrinkage Estimators
    Andrew David Pearce, Armin Hatefi
    http://arxiv.org/abs/2110.07851v1

    • [stat.ME]Multivariate Mean Comparison under Differential Privacy
    Martin Dunsche, Tim Kutta, Holger Dette
    http://arxiv.org/abs/2110.07996v1

    • [stat.ME]SAFFRON and LORD Ensure Online Control of the False Discovery Rate Under Positive Dependence
    Aaron Fisher
    http://arxiv.org/abs/2110.08161v1

    • [stat.ME]Second-level randomness test based on the Kolmogorov-Smirnov test
    Akihiro Yamaguchi, Asaki Saito
    http://arxiv.org/abs/2110.08023v1

    • [stat.ME]Spatially Adaptive Calibrations of AirBox PM今日学术视野(2021.10.19) - 图8 Data
    ShengLi Tzeng, Chi-Wei Lai, Hsin-Cheng Huang
    http://arxiv.org/abs/2110.08005v1

    • [stat.ME]pimeta: an R package of prediction intervals for random-effects meta-analysis
    Kengo Nagashima, Hisashi Noma, Toshi A. Furukawa
    http://arxiv.org/abs/2110.07856v1

    • [stat.ML]An active learning approach for improving the performance of equilibrium based chemical simulations
    Mary Savino, Céline Lévy-Leduc, Marc Leconte, Benoit Cochepin
    http://arxiv.org/abs/2110.08111v1

    • [stat.ML]Causal Identification with Additive Noise Models: Quantifying the Effect of Noise
    Benjamin Kap, Marharyta Aleksandrova, Thomas Engel
    http://arxiv.org/abs/2110.08087v1

    • [stat.ML]Choice functions based multi-objective Bayesian optimisation
    Alessio Benavoli, Dario Azzimonti, Dario Piga
    http://arxiv.org/abs/2110.08217v1

    • [stat.ML]Compressive Independent Component Analysis: Theory and Algorithms
    Michael P. Sheehan, Mike E. Davies
    http://arxiv.org/abs/2110.08045v1

    • [stat.ML]Gaussian Process Bandit Optimization with Few Batches
    Zihan Li, Jonathan Scarlett
    http://arxiv.org/abs/2110.07788v1

    • [stat.ML]Learning Mean-Field Equations from Particle Data Using WSINDy
    Daniel A. Messenger, David M. Bortz
    http://arxiv.org/abs/2110.07756v1

    • [stat.ML]Model-Change Active Learning in Graph-Based Semi-Supervised Learning
    Kevin Miller, Andrea L. Bertozzi
    http://arxiv.org/abs/2110.07739v1