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.DC - 分布式、并行与集群计算
    cs.DS - 数据结构与算法
    cs.HC - 人机接口
    cs.IR - 信息检索
    cs.IT - 信息论
    cs.LG - 自动学习
    cs.LO - 计算逻辑
    cs.NE - 神经与进化计算
    cs.NI - 网络和互联网体系结构
    cs.PF - 计算性能
    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.DG - 微分几何
    math.OC - 优化与控制
    math.ST - 统计理论
    physics.soc-ph - 物理学与社会
    physics.space-ph - 空间物理学
    q-bio.GN - 基因组学
    stat.ME - 统计方法论
    stat.ML - (统计)机器学习

    • [cs.AI]AI Agents in Emergency Response Applications
    • [cs.AI]Automated Machine Learning, Bounded Rationality, and Rational Metareasoning
    • [cs.AI]Boosting Graph Search with Attention Network for Solving the General Orienteering Problem
    • [cs.AI]Solving the Extended Job Shop Scheduling Problem with AGVs — Classical and Quantum Approaches
    • [cs.CL]A Large-Scale Study of Machine Translation in the Turkic Languages
    • [cs.CL]A Simple and Effective Method To Eliminate the Self Language Bias in Multilingual Representations
    • [cs.CL]A Strong Baseline for Query Efficient Attacks in a Black Box Setting
    • [cs.CL]Active learning for reducing labeling effort in text classification tasks
    • [cs.CL]AfroMT: Pretraining Strategies and Reproducible Benchmarks for Translation of 8 African Languages
    • [cs.CL]An Evaluation Dataset and Strategy for Building Robust Multi-turn Response Selection Model
    • [cs.CL]An Exploratory Study on Long Dialogue Summarization: What Works and What’s Next
    • [cs.CL]Artificial Text Detection via Examining the Topology of Attention Maps
    • [cs.CL]Asking It All: Generating Contextualized Questions for any Semantic Role
    • [cs.CL]Assessing the Reliability of Word Embedding Gender Bias Measures
    • [cs.CL]AutoTriggER: Named Entity Recognition with Auxiliary Trigger Extraction
    • [cs.CL]Balancing Methods for Multi-label Text Classification with Long-Tailed Class Distribution
    • [cs.CL]Beyond the Tip of the Iceberg: Assessing Coherence of Text Classifiers
    • [cs.CL]BiSECT: Learning to Split and Rephrase Sentences with Bitexts
    • [cs.CL]Box Embeddings: An open-source library for representation learning using geometric structures
    • [cs.CL]CINS: Comprehensive Instruction for Few-shot Learning in Task-orientedDialog Systems
    • [cs.CL]CoPHE: A Count-Preserving Hierarchical Evaluation Metric in Large-Scale Multi-Label Text Classification
    • [cs.CL]Controlled Neural Sentence-Level Reframing of News Articles
    • [cs.CL]DIALKI: Knowledge Identification in Conversational Systems through Dialogue-Document Contextualization
    • [cs.CL]Distantly-Supervised Named Entity Recognition with Noise-Robust Learning and Language Model Augmented Self-Training
    • [cs.CL]Document-level Entity-based Extraction as Template Generation
    • [cs.CL]Does It Capture STEL? A Modular, Similarity-based Linguistic Style Evaluation Framework
    • [cs.CL]Does Pretraining for Summarization Require Knowledge Transfer?
    • [cs.CL]Dual-State Capsule Networks for Text Classification
    • [cs.CL]Dynamic Terminology Integration for COVID-19 and other Emerging Domains
    • [cs.CL]Efficient Test Time Adapter Ensembling for Low-resource Language Varieties
    • [cs.CL]EfficientCLIP: Efficient Cross-Modal Pre-training by Ensemble Confident Learning and Language Modeling
    • [cs.CL]EmoWOZ: A Large-Scale Corpus and Labelling Scheme for Emotion in Task-Oriented Dialogue Systems
    • [cs.CL]Euphemistic Phrase Detection by Masked Language Model
    • [cs.CL]Examining Cross-lingual Contextual Embeddings with Orthogonal Structural Probes
    • [cs.CL]Exophoric Pronoun Resolution in Dialogues with Topic Regularization
    • [cs.CL]Generating Self-Contained and Summary-Centric Question Answer Pairs via Differentiable Reward Imitation Learning
    • [cs.CL]Genre as Weak Supervision for Cross-lingual Dependency Parsing
    • [cs.CL]Heterogeneous Graph Neural Networks for Keyphrase Generation
    • [cs.CL]How Does Fine-tuning Affect the Geometry of Embedding Space: A Case Study on Isotropy
    • [cs.CL]Identifying Morality Frames in Political Tweets using Relational Learning
    • [cs.CL]Improving Multilingual Translation by Representation and Gradient Regularization
    • [cs.CL]IndoBERTweet: A Pretrained Language Model for Indonesian Twitter with
    567
    Effective Domain-Specific Vocabulary Initialization
    • [cs.CL]Integrating Approaches to Word Representation
    • [cs.CL]Investigating Numeracy Learning Ability of a Text-to-Text Transfer Model
    • [cs.CL]Knowledge-Aware Meta-learning for Low-Resource Text Classification
    • [cs.CL]Mixture-of-Partitions: Infusing Large Biomedical Knowledge Graphs into BERT
    • [cs.CL]Modeling Human Sentence Processing with Left-Corner Recurrent Neural Network Grammars
    • [cs.CL]MultiAzterTest: a Multilingual Analyzer on Multiple Levels of Language for Readability Assessment
    • [cs.CL]Neural Machine Translation Quality and Post-Editing Performance
    • [cs.CL]Pre-train or Annotate? Domain Adaptation with a Constrained Budget
    • [cs.CL]Predicting emergent linguistic compositions through time: Syntactic frame extension via multimodal chaining
    • [cs.CL]ReasonBERT: Pre-trained to Reason with Distant Supervision
    • [cs.CL]Rethinking Zero-shot Neural Machine Translation: From a Perspective of Latent Variables
    • [cs.CL]RoR: Read-over-Read for Long Document Machine Reading Comprehension
    • [cs.CL]Rule-based Morphological Inflection Improves Neural Terminology Translation
    • [cs.CL]Studying word order through iterative shuffling
    • [cs.CL]Tiered Reasoning for Intuitive Physics: Toward Verifiable Commonsense Language Understanding
    • [cs.CL]Topic-Aware Contrastive Learning for Abstractive Dialogue Summarization
    • [cs.CL]Towards Developing a Multilingual and Code-Mixed Visual Question Answering System by Knowledge Distillation
    • [cs.CL]We went to look for meaning and all we got were these lousy representations: aspects of meaning representation for computational semantics
    • [cs.CL]What Changes Can Large-scale Language Models Bring? Intensive Study on HyperCLOVA: Billions-scale Korean Generative Pretrained Transformers
    • [cs.CL]Zero-Shot Dialogue State Tracking via Cross-Task Transfer
    • [cs.CR]Emerging AI Security Threats for Autonomous Cars — Case Studies
    • [cs.CR]How Does Blockchain Security Dictate Blockchain Implementation?
    • [cs.CR]Knowledge mining of unstructured information: application to cyber-domain
    • [cs.CR]Utilizing Shannon’s Entropy to Create Privacy Aware Architectures
    • [cs.CV]An Empirical Study of GPT-3 for Few-Shot Knowledge-Based VQA
    • [cs.CV]Detection of GAN-synthesized street videos
    • [cs.CV]EVOQUER: Enhancing Temporal Grounding with Video-Pivoted BackQuery Generation
    • [cs.CV]IFBiD: Inference-Free Bias Detection
    • [cs.CV]LibFewShot: A Comprehensive Library for Few-shot Learning
    • [cs.CV]Line as a Visual Sentence: Context-aware Line Descriptor for Visual Localization
    • [cs.CV]Negative Sample Matters: A Renaissance of Metric Learning for Temporal Grounding
    • [cs.CV]PIP: Physical Interaction Prediction via Mental Imagery with Span Selection
    • [cs.CV]Panoptic Narrative Grounding
    • [cs.CV]Reconstructing and grounding narrated instructional videos in 3D
    • [cs.CV]Spatio-Temporal Recurrent Networks for Event-Based Optical Flow Estimation
    • [cs.CV]TADA: Taxonomy Adaptive Domain Adaptation
    • [cs.CV]Temporally Coherent Person Matting Trained on Fake-Motion Dataset
    • [cs.CV]Unsupervised Change Detection in Hyperspectral Images using Feature Fusion Deep Convolutional Autoencoders
    • [cs.DC]3D Real-Time Supercomputer Monitoring
    • [cs.DC]An Execution Fingerprint Dictionary for HPC Application Recognition
    • [cs.DC]Analytical Process Scheduling Optimization for Heterogeneous Multi-core Systems
    • [cs.DC]Efficient Exascale Discretizations: High-Order Finite Element Methods
    • [cs.DC]RandSolomon: optimally resilient multi-party random number generation protocol
    • [cs.DS]C-MinHash: Practically Reducing Two Permutations to Just One
    • [cs.DS]Efficient Locally Optimal Number Set Partitioning for Scheduling, Allocation and Fair Selection
    • [cs.HC]xBalloon: Animated Objects with Balloon Plastic Actuator
    • [cs.IR]Personalized Entity Search by Sparse and Scrutable User Profiles
    • [cs.IR]Query-driven Segment Selection for Ranking Long Documents
    • [cs.IR]Trust your neighbors: A comprehensive survey of neighborhood-based methods for recommender systems
    • [cs.IR]You Get What You Chat: Using Conversations to Personalize Search-based Recommendations
    • [cs.IT]Constructions of Binary Cross Z-Complementary Pairs With Large CZC Ratio
    • [cs.IT]Multi-agent deep reinforcement learning (MADRL) meets multi-user MIMO systems
    • [cs.IT]Notes on Generalizing the Maximum Entropy Principle to Uncertain Data
    • [cs.IT]Unselfish Coded Caching can Yield Unbounded Gains over Symmetrically Selfish Caching
    • [cs.LG]6MapNet: Representing soccer players from tracking data by a triplet network
    • [cs.LG]A Fast PC Algorithm with Reversed-order Pruning and A Parallelization Strategy
    • [cs.LG]A Neural Tangent Kernel Perspective of Infinite Tree Ensembles
    • [cs.LG]A Study of Joint Graph Inference and Forecasting
    • [cs.LG]Assessing the Quality of the Datasets by Identifying Mislabeled Samples
    • [cs.LG]Block Pruning For Faster Transformers
    • [cs.LG]Bootstrapped Meta-Learning
    • [cs.LG]Counterfactual Adversarial Learning with Representation Interpolation
    • [cs.LG]Dynamic Collective Intelligence Learning: Finding Efficient Sparse Model via Refined Gradients for Pruned Weights
    • [cs.LG]Efficiently Identifying Task Groupings for Multi-Task Learning
    • [cs.LG]Enhancing Unsupervised Anomaly Detection with Score-Guided Network
    • [cs.LG]Fairness without the sensitive attribute via Causal Variational Autoencoder
    • [cs.LG]Feature-based Individual Fairness in k-Clustering
    • [cs.LG]Hybrid modeling of the human cardiovascular system using NeuralFMUs
    • [cs.LG]Inverse design of 3d molecular structures with conditional generative neural networks
    • [cs.LG]Learning to Teach with Student Feedback
    • [cs.LG]Mesh convolutional neural networks for wall shear stress estimation in 3D artery models
    • [cs.LG]Multi-label Classification of Aircraft Heading Changes Using Neural Network to Resolve Conflicts
    • [cs.LG]Multimodal Federated Learning
    • [cs.LG]PWPAE: An Ensemble Framework for Concept Drift Adaptation in IoT Data Streams
    • [cs.LG]ProcK: Machine Learning for Knowledge-Intensive Processes
    • [cs.LG]Projected State-action Balancing Weights for Offline Reinforcement Learning
    • [cs.LG]Rapid Model Architecture Adaption for Meta-Learning
    • [cs.LG]ReLU Regression with Massart Noise
    • [cs.LG]Saliency Guided Experience Packing for Replay in Continual Learning
    • [cs.LG]Simulating the Effects of Eco-Friendly Transportation Selections for Air Pollution Reduction
    • [cs.LG]Spatially Focused Attack against Spatiotemporal Graph Neural Networks
    • [cs.LG]Style Pooling: Automatic Text Style Obfuscation for Improved Classification Fairness
    • [cs.LG]Unfolding Projection-free SDP Relaxation of Binary Graph Classifier via GDPA Linearization
    • [cs.LO]Knowledge-Assisted Reasoning of Model-Augmented System Requirements with Event Calculus and Goal-Directed Answer Set Programming
    • [cs.NE]Characterization of Constrained Continuous Multiobjective Optimization Problems: A Feature Space Perspective
    • [cs.NE]Citizen centric optimal electric vehicle charging stations locations in a full city: case of Malaga
    • [cs.NI]A Dynamic Scheduling Policy for a Network with Heterogeneous Time-Sensitive Traffic
    • [cs.PF]Performance Analysis of CP2K Code for Ab Initio Molecular Dynamics
    • [cs.RO]A Holistic Approach to Reactive Mobile Manipulation
    • [cs.RO]A Suitable Hierarchical Framework with Arbitrary Task Dimensions under Unilateral Constraints for physical Human Robot Interaction
    • [cs.RO]A Unified Model with Inertia Shaping for Highly Dynamic Jumps of Legged Robots
    • [cs.RO]Binarized P-Network: Deep Reinforcement Learning of Robot Control from Raw Images on FPGA
    • [cs.RO]Bodies Uncovered: Learning to Manipulate Real Blankets Around People via Physics Simulations
    • [cs.RO]CLINS: Continuous-Time Trajectory Estimation for LiDAR-Inertial System
    • [cs.RO]Closing the Sim2Real Gap in Dynamic Cloth Manipulation
    • [cs.RO]Discretizing Dynamics for Maximum Likelihood Constraint Inference
    • [cs.RO]Error State Extended Kalman Filter Multi-Sensor Fusion for Unmanned Aerial Vehicle Localization in GPS and Magnetometer Denied Indoor Environments
    • [cs.RO]Estimation and Adaption of Indoor Ego Airflow Disturbance with Application to Quadrotor Trajectory Planning
    • [cs.RO]Follow the Gradient: Crossing the Reality Gap using Differentiable Physics (RealityGrad)
    • [cs.RO]GPA-Teleoperation: Gaze Enhanced Perception-aware Safe Assistive Aerial Teleoperation
    • [cs.RO]Heading Estimation Using Ultra-Wideband Received Signal Strength and Gaussian Processes
    • [cs.RO]Human-Robot Interaction via a Joint-Initiative Supervised Autonomy (JISA) Framework
    • [cs.RO]Jammkle: Fibre jamming 3D printed multi-material tendons and their application in a robotic ankle
    • [cs.RO]KNODE-MPC: A Knowledge-based Data-driven Predictive Control Framework for Aerial Robots
    • [cs.RO]Learning to Swarm with Knowledge-Based Neural Ordinary Differential Equations
    • [cs.RO]On Inverse Inertia Matrix and Contact-Force Model for Robotic Manipulators at Normal Impacts
    • [cs.RO]Optimizing Space Utilization for More Effective Multi-Robot Path Planning
    • [cs.RO]PlaTe: Visually-Grounded Planning with Transformers in Procedural Tasks
    • [cs.RO]Range, Endurance, and Optimal Speed Estimates for Multicopters
    • [cs.RO]Risk-bounded Path Planning for Urban Air Mobility Operations under Uncertainty
    • [cs.RO]SO-SLAM: Semantic Object SLAM with Scale Proportional and Symmetrical Texture Constraints
    • [cs.RO]TIE: An Autonomous and Adaptive Terrestrial-Aerial Quadrotor
    • [cs.RO]Trajectory Optimization with Optimization-Based Dynamics
    • [cs.RO]Where Should I Look? Optimised Gaze Control for Whole-Body Collision Avoidance in Dynamic Environments
    • [cs.SD]Self-Attention Channel Combinator Frontend for End-to-End Multichannel Far-field Speech Recognition
    • [cs.SE]How Can Subgroup Discovery Help AIOps?
    • [cs.SE]On the validity of pre-trained transformers for natural language processing in the software engineering domain
    • [cs.SI]FR-Detect: A Multi-Modal Framework for Early Fake News Detection on Social Media Using Publishers Features
    • [cs.SI]GenCAT: Generating Attributed Graphs with Controlled Relationships between Classes, Attributes, and Topology
    • [cs.SI]Prediction and Prevention of Pandemics via Graphical Model Inference and Convex Programming
    • [cs.SI]WikiCSSH: Extracting and Evaluating Computer Science Subject Headings from Wikipedia
    • [eess.IV]Automatic Displacement and Vibration Measurement in Laboratory Experiments with A Deep Learning Method
    • [eess.IV]ReconfigISP: Reconfigurable Camera Image Processing Pipeline
    • [eess.IV]View Blind-spot as Inpainting: Self-Supervised Denoising with Mask Guided Residual Convolution
    • [eess.SP]GPS-Denied Navigation Using Low-Cost Inertial Sensors and Recurrent Neural Networks
    • [eess.SY]Secondary control activation analysed and predicted with explainable AI
    • [math.DG]Kahler toric manifolds from dually flat spaces
    • [math.OC]Asynchronous Iterations in Optimization: New Sequence Results and Sharper Algorithmic Guarantees
    • [math.OC]DIRECT: A Differential Dynamic Programming Based Framework for Trajectory Generation
    • [math.ST]On the eigenvalues associated with the limit null distribution of the Epps-Pulley test of normality
    • [math.ST]Sharp regret bounds for empirical Bayes and compound decision problems
    • [physics.soc-ph]Consensus dynamics on temporal hypergraphs
    • [physics.space-ph]Unsupervised classification of simulated magnetospheric regions
    • [q-bio.GN]Spike2Vec: An Efficient and Scalable Embedding Approach for COVID-19 Spike Sequences
    • [stat.ME]A Proximal Distance Algorithm for Likelihood-Based Sparse Covariance Estimation
    • [stat.ME]Differentially private methods for managing model uncertainty in linear regression models
    • [stat.ME]Implicit Copulas: An Overview
    • [stat.ME]Interaction Models and Generalized Score Matching for Compositional Data
    • [stat.ME]Low-rank statistical finite elements for scalable model-data synthesis
    • [stat.ME]Principal component analysis for high-dimensional compositional data
    • [stat.ME]Reducing bias and alleviating the influence of excess of zeros with multioutcome adaptive LAD-lasso
    • [stat.ML]Best-Arm Identification in Correlated Multi-Armed Bandits
    • [stat.ML]Differential Privacy in Personalized Pricing with Nonparametric Demand Models
    • [stat.ML]Ergodic Limits, Relaxations, and Geometric Properties of Random Walk Node Embeddings
    • [stat.ML]Neural Networks for Latent Budget Analysis of Compositional Data
    • [stat.ML]Supervising the Decoder of Variational Autoencoders to Improve Scientific Utility

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

    • [cs.AI]AI Agents in Emergency Response Applications
    Aryan Naim, Ryan Alimo, Jay Braun
    http://arxiv.org/abs/2109.04646v1

    • [cs.AI]Automated Machine Learning, Bounded Rationality, and Rational Metareasoning
    Eyke Hüllermeier, Felix Mohr, Alexander Tornede, Marcel Wever
    http://arxiv.org/abs/2109.04744v1

    • [cs.AI]Boosting Graph Search with Attention Network for Solving the General Orienteering Problem
    Zongtao Liu, Jing Xu, Jintao Su, Tao Xiao, Yang Yang
    http://arxiv.org/abs/2109.04730v1

    • [cs.AI]Solving the Extended Job Shop Scheduling Problem with AGVs — Classical and Quantum Approaches
    Marc Geitz, Cristian Grozea, Wolfgang Steigerwald, Robin Stöhr, Armin Wolf
    http://arxiv.org/abs/2109.04830v1

    • [cs.CL]A Large-Scale Study of Machine Translation in the Turkic Languages
    Jamshidbek Mirzakhalov, Anoop Babu, Duygu Ataman, Sherzod Kariev, Francis Tyers, Otabek Abduraufov, Mammad Hajili, Sardana Ivanova, Abror Khaytbaev, Antonio Laverghetta Jr., Behzodbek Moydinboyev, Esra Onal, Shaxnoza Pulatova, Ahsan Wahab, Orhan Firat, Sriram Chellappan
    http://arxiv.org/abs/2109.04593v1

    • [cs.CL]A Simple and Effective Method To Eliminate the Self Language Bias in Multilingual Representations
    Ziyi Yang, Yinfei Yang, Daniel Cer, Eric Darve
    http://arxiv.org/abs/2109.04727v1

    • [cs.CL]A Strong Baseline for Query Efficient Attacks in a Black Box Setting
    Rishabh Maheshwary, Saket Maheshwary, Vikram Pudi
    http://arxiv.org/abs/2109.04775v1

    • [cs.CL]Active learning for reducing labeling effort in text classification tasks
    Pieter Floris Jacobs, Gideon Maillette de Buy Wenniger, Marco Wiering, Lambert Schomaker
    http://arxiv.org/abs/2109.04847v1

    • [cs.CL]AfroMT: Pretraining Strategies and Reproducible Benchmarks for Translation of 8 African Languages
    Machel Reid, Junjie Hu, Graham Neubig, Yutaka Matsuo
    http://arxiv.org/abs/2109.04715v1

    • [cs.CL]An Evaluation Dataset and Strategy for Building Robust Multi-turn Response Selection Model
    Kijong Han, Seojin Lee, Wooin Lee, Joosung Lee, Dong-hun Lee
    http://arxiv.org/abs/2109.04834v1

    • [cs.CL]An Exploratory Study on Long Dialogue Summarization: What Works and What’s Next
    Yusen Zhang, Ansong Ni, Tao Yu, Rui Zhang, Chenguang Zhu, Budhaditya Deb, Asli Celikyilmaz, Ahmed Hassan Awadallah, Dragomir Radev
    http://arxiv.org/abs/2109.04609v1

    • [cs.CL]Artificial Text Detection via Examining the Topology of Attention Maps
    Laida Kushnareva, Daniil Cherniavskii, Vladislav Mikhailov, Ekaterina Artemova, Serguei Barannikov, Alexander Bernstein, Irina Piontkovskaya, Dmitri Piontkovski, Evgeny Burnaev
    http://arxiv.org/abs/2109.04825v1

    • [cs.CL]Asking It All: Generating Contextualized Questions for any Semantic Role
    Valentina Pyatkin, Paul Roit, Julian Michael, Reut Tsarfaty, Yoav Goldberg, Ido Dagan
    http://arxiv.org/abs/2109.04832v1

    • [cs.CL]Assessing the Reliability of Word Embedding Gender Bias Measures
    Yupei Du, Qixiang Fang, Dong Nguyen
    http://arxiv.org/abs/2109.04732v1

    • [cs.CL]AutoTriggER: Named Entity Recognition with Auxiliary Trigger Extraction
    Dong-Ho Lee, Ravi Kiran Selvam, Sheikh Muhammad Sarwar, Bill Yuchen Lin, Mahak Agarwal, Fred Morstatter, Jay Pujara, Elizabeth Boschee, James Allan, Xiang Ren
    http://arxiv.org/abs/2109.04726v1

    • [cs.CL]Balancing Methods for Multi-label Text Classification with Long-Tailed Class Distribution
    Yi Huang, Buse Giledereli, Abdullatif Köksal, Arzucan Özgür, Elif Ozkirimli
    http://arxiv.org/abs/2109.04712v1

    • [cs.CL]Beyond the Tip of the Iceberg: Assessing Coherence of Text Classifiers
    Shane Storks, Joyce Chai
    http://arxiv.org/abs/2109.04922v1

    • [cs.CL]BiSECT: Learning to Split and Rephrase Sentences with Bitexts
    Joongwon Kim, Mounica Maddela, Reno Kriz, Wei Xu, Chris Callison-Burch
    http://arxiv.org/abs/2109.05006v1

    • [cs.CL]Box Embeddings: An open-source library for representation learning using geometric structures
    Tejas Chheda, Purujit Goyal, Trang Tran, Dhruvesh Patel, Michael Boratko, Shib Sankar Dasgupta, Andrew McCallum
    http://arxiv.org/abs/2109.04997v1

    • [cs.CL]CINS: Comprehensive Instruction for Few-shot Learning in Task-orientedDialog Systems
    Fei Mi, Yitong Li, Yasheng Wang, Xin Jiang, Qun Liu
    http://arxiv.org/abs/2109.04645v1

    • [cs.CL]CoPHE: A Count-Preserving Hierarchical Evaluation Metric in Large-Scale Multi-Label Text Classification
    Matúš Falis, Hang Dong, Alexandra Birch, Beatrice Alex
    http://arxiv.org/abs/2109.04853v1

    • [cs.CL]Controlled Neural Sentence-Level Reframing of News Articles
    Wei-Fan Chen, Khalid Al-Khatib, Benno Stein, Henning Wachsmuth
    http://arxiv.org/abs/2109.04957v1

    • [cs.CL]DIALKI: Knowledge Identification in Conversational Systems through Dialogue-Document Contextualization
    Zeqiu Wu, Bo-Ru Lu, Hannaneh Hajishirzi, Mari Ostendorf
    http://arxiv.org/abs/2109.04673v1

    • [cs.CL]Distantly-Supervised Named Entity Recognition with Noise-Robust Learning and Language Model Augmented Self-Training
    Yu Meng, Yunyi Zhang, Jiaxin Huang, Xuan Wang, Yu Zhang, Heng Ji, Jiawei Han
    http://arxiv.org/abs/2109.05003v1

    • [cs.CL]Document-level Entity-based Extraction as Template Generation
    Kung-Hsiang Huang, Sam Tang, Nanyun Peng
    http://arxiv.org/abs/2109.04901v1

    • [cs.CL]Does It Capture STEL? A Modular, Similarity-based Linguistic Style Evaluation Framework
    Anna Wegmann, Dong Nguyen
    http://arxiv.org/abs/2109.04817v1

    • [cs.CL]Does Pretraining for Summarization Require Knowledge Transfer?
    Kundan Krishna, Jeffrey Bigham, Zachary C. Lipton
    http://arxiv.org/abs/2109.04953v1

    • [cs.CL]Dual-State Capsule Networks for Text Classification
    Piyumal Demotte, Surangika Ranathunga
    http://arxiv.org/abs/2109.04762v1

    • [cs.CL]Dynamic Terminology Integration for COVID-19 and other Emerging Domains
    Toms Bergmanis, Mārcis Pinnis
    http://arxiv.org/abs/2109.04708v1

    • [cs.CL]Efficient Test Time Adapter Ensembling for Low-resource Language Varieties
    Xinyi Wang, Yulia Tsvetkov, Sebastian Ruder, Graham Neubig
    http://arxiv.org/abs/2109.04877v1

    • [cs.CL]EfficientCLIP: Efficient Cross-Modal Pre-training by Ensemble Confident Learning and Language Modeling
    Jue Wang, Haofan Wang, Jincan Deng, Weijia Wu, Debing Zhang
    http://arxiv.org/abs/2109.04699v1

    • [cs.CL]EmoWOZ: A Large-Scale Corpus and Labelling Scheme for Emotion in Task-Oriented Dialogue Systems
    Shutong Feng, Nurul Lubis, Christian Geishauser, Hsien-chin Lin, Michael Heck, Carel van Niekerk, Milica Gašić
    http://arxiv.org/abs/2109.04919v1

    • [cs.CL]Euphemistic Phrase Detection by Masked Language Model
    Wanzheng Zhu, Suma Bhat
    http://arxiv.org/abs/2109.04666v1

    • [cs.CL]Examining Cross-lingual Contextual Embeddings with Orthogonal Structural Probes
    Tomasz Limisiewicz, David Mareček
    http://arxiv.org/abs/2109.04921v1

    • [cs.CL]Exophoric Pronoun Resolution in Dialogues with Topic Regularization
    Xintong Yu, Hongming Zhang, Yangqiu Song, Changshui Zhang, Kun Xu, Dong Yu
    http://arxiv.org/abs/2109.04787v1

    • [cs.CL]Generating Self-Contained and Summary-Centric Question Answer Pairs via Differentiable Reward Imitation Learning
    Li Zhou, Kevin Small, Yong Zhang, Sandeep Atluri
    http://arxiv.org/abs/2109.04689v1

    • [cs.CL]Genre as Weak Supervision for Cross-lingual Dependency Parsing
    Max Müller-Eberstein, Rob van der Goot, Barbara Plank
    http://arxiv.org/abs/2109.04733v1

    • [cs.CL]Heterogeneous Graph Neural Networks for Keyphrase Generation
    Jiacheng Ye, Ruijian Cai, Tao Gui, Qi Zhang
    http://arxiv.org/abs/2109.04703v1

    • [cs.CL]How Does Fine-tuning Affect the Geometry of Embedding Space: A Case Study on Isotropy
    Sara Rajaee, Mohammad Taher Pilehvar
    http://arxiv.org/abs/2109.04740v1

    • [cs.CL]Identifying Morality Frames in Political Tweets using Relational Learning
    Shamik Roy, Maria Leonor Pacheco, Dan Goldwasser
    http://arxiv.org/abs/2109.04535v1

    • [cs.CL]Improving Multilingual Translation by Representation and Gradient Regularization
    Yilin Yang, Akiko Eriguchi, Alexandre Muzio, Prasad Tadepalli, Stefan Lee, Hany Hassan
    http://arxiv.org/abs/2109.04778v1

    • [cs.CL]IndoBERTweet: A Pretrained Language Model for Indonesian Twitter with
    567
    Effective Domain-Specific Vocabulary Initialization
    Fajri Koto, Jey Han Lau, Timothy Baldwin
    http://arxiv.org/abs/2109.04607v1

    • [cs.CL]Integrating Approaches to Word Representation
    Yuval Pinter
    http://arxiv.org/abs/2109.04876v1

    • [cs.CL]Investigating Numeracy Learning Ability of a Text-to-Text Transfer Model
    Kuntal Kumar Pal, Chitta Baral
    http://arxiv.org/abs/2109.04672v1

    • [cs.CL]Knowledge-Aware Meta-learning for Low-Resource Text Classification
    Huaxiu Yao, Yingxin Wu, Maruan Al-Shedivat, Eric P. Xing
    http://arxiv.org/abs/2109.04707v1

    • [cs.CL]Mixture-of-Partitions: Infusing Large Biomedical Knowledge Graphs into BERT
    Zaiqiao Meng, Fangyu Liu, Thomas Hikaru Clark, Ehsan Shareghi, Nigel Collier
    http://arxiv.org/abs/2109.04810v1

    • [cs.CL]Modeling Human Sentence Processing with Left-Corner Recurrent Neural Network Grammars
    Ryo Yoshida, Hiroshi Noji, Yohei Oseki
    http://arxiv.org/abs/2109.04939v1

    • [cs.CL]MultiAzterTest: a Multilingual Analyzer on Multiple Levels of Language for Readability Assessment
    Kepa Bengoetxea, Itziar Gonzalez-Dios
    http://arxiv.org/abs/2109.04870v1

    • [cs.CL]Neural Machine Translation Quality and Post-Editing Performance
    Vilém Zouhar, Aleš Tamchyna, Martin Popel, Ondřej Bojar
    http://arxiv.org/abs/2109.05016v1

    • [cs.CL]Pre-train or Annotate? Domain Adaptation with a Constrained Budget
    Fan Bai, Alan Ritter, Wei Xu
    http://arxiv.org/abs/2109.04711v1

    • [cs.CL]Predicting emergent linguistic compositions through time: Syntactic frame extension via multimodal chaining
    Lei Yu, Yang Xu
    http://arxiv.org/abs/2109.04652v1

    • [cs.CL]ReasonBERT: Pre-trained to Reason with Distant Supervision
    Xiang Deng, Yu Su, Alyssa Lees, You Wu, Cong Yu, Huan Sun
    http://arxiv.org/abs/2109.04912v1

    • [cs.CL]Rethinking Zero-shot Neural Machine Translation: From a Perspective of Latent Variables
    Weizhi Wang, Zhirui Zhang, Yic
    2b9
    hao Du, Boxing Chen, Jun Xie, Weihua Luo
    http://arxiv.org/abs/2109.04705v1

    • [cs.CL]RoR: Read-over-Read for Long Document Machine Reading Comprehension
    Jing Zhao, Junwei Bao, Yifan Wang, Yongwei Zhou, Youzheng Wu, Xiaodong He, Bowen Zhou
    http://arxiv.org/abs/2109.04780v1

    • [cs.CL]Rule-based Morphological Inflection Improves Neural Terminology Translation
    Weijia Xu, Marine Carpuat
    http://arxiv.org/abs/2109.04620v1

    • [cs.CL]Studying word order through iterative shuffling
    Nikolay Malkin, Sameera Lanka, Pranav Goel, Nebojsa Jojic
    http://arxiv.org/abs/2109.04867v1

    • [cs.CL]Tiered Reasoning for Intuitive Physics: Toward Verifiable Commonsense Language Understanding
    Shane Storks, Qiaozi Gao, Yichi Zhang, Joyce Chai
    http://arxiv.org/abs/2109.04947v1

    • [cs.CL]Topic-Aware Contrastive Learning for Abstractive Dialogue Summarization
    Junpeng Liu, Yanyan Zou, Hainan Zhang, Hongshen Chen, Zhuoye Ding, Caixia Yuan, Xiaojie Wang
    http://arxiv.org/abs/2109.04994v1

    • [cs.CL]Towards Developing a Multilingual and Code-Mixed Visual Question Answering System by Knowledge Distillation
    Humair Raj Khan, Deepak Gupta, Asif Ekbal
    http://arxiv.org/abs/2109.04653v1

    • [cs.CL]We went to look for meaning and all we got were these lousy representations: aspects of meaning representation for computational semantics
    Simon Dobnik, Robin Cooper, Adam Ek, Bill Noble, Staffan Larsson, Nikolai Ilinykh, Vladislav Maraev, Vidya Somashekarappa
    http://arxiv.org/abs/2109.04949v1

    • [cs.CL]What Changes Can Large-scale Language Models Bring? Intensive Study on HyperCLOVA: Billions-scale Korean Generative Pretrained Transformers
    Boseop Kim, HyoungSeok Kim, Sang-Woo Lee, Gichang Lee, Donghyun Kwak, Dong Hyeon Jeon, Sunghyun Park, Sungju Kim, Seonhoon Kim, Dongpil Seo, Heungsub Lee, Minyoung Jeong, Sungjae Lee, Minsub Kim, Suk Hyun Ko, Seokhun Kim, Taeyong Park, Jinuk Kim, Soyoung Kang, Na-Hyeon Ryu, Kang Min Yoo, Minsuk Chang, Soobin Suh, Sookyo In, Jinseong Park, Kyungduk Kim, Hiun Kim, Jisu Jeong, Yong Goo Yeo, Donghoon Ham, Dongju Park, Min Young Lee, Jaewook Kang, Inho Kang, Jung-Woo Ha, Woomyoung Park, Nako Sung
    http://arxiv.org/abs/2109.04650v1

    • [cs.CL]Zero-Shot Dialogue State Tracking via Cross-Task Transfer
    Zhaojiang Lin, Bing Liu, Andrea Madotto, Seungwhan Moon, Paul Crook, Zhenpeng Zhou, Zhiguang Wang, Zhou Yu, Eunjoon Cho, Rajen Subba, Pascale Fung
    http://arxiv.org/abs/2109.04655v1

    • [cs.CR]Emerging AI Security Threats for Autonomous Cars — Case Studies
    Shanthi Lekkala, Tanya Motwani, Manojkumar Parmar, Amit Phadke
    http://arxiv.org/abs/2109.04865v1

    • [cs.CR]How Does Blockchain Security Dictate Blockchain Implementation?
    Andrew Lewis-Pye, Tim Roughgarden
    http://arxiv.org/abs/2109.04848v1

    • [cs.CR]Knowledge mining of unstructured information: application to cyber-domain
    Tuomas Takko, Kunal Bhattacharya, Martti Lehto, Pertti Jalasvirta, Aapo Cederberg, Kimmo Kaski
    http://arxiv.org/abs/2109.03848v2

    • [cs.CR]Utilizing Shannon’s Entropy to Create Privacy Aware Architectures
    bhinav Palia, Rajat Tandon, Carl Mathis
    http://arxiv.org/abs/2109.04649v1

    • [cs.CV]An Empirical Study of GPT-3 for Few-Shot Knowledge-Based VQA
    Zhengyuan Yang, Zhe Gan, Jianfeng Wang, Xiaowei Hu, Yumao Lu, Zicheng Liu, Lijuan Wang
    http://arxiv.org/abs/2109.05014v1

    • [cs.CV]Detection of GAN-synthesized street videos
    Omran Alamayreh, Mauro Barni
    http://arxiv.org/abs/2109.04991v1

    • [cs.CV]EVOQUER: Enhancing Temporal Grounding with Video-Pivoted BackQuery Generation
    Yanjun Gao, Lulu Liu, Jason Wang, Xin Chen, Huayan Wang, Rui Zhang
    http://arxiv.org/abs/2109.04600v1

    • [cs.CV]IFBiD: Inference-Free Bias Detection
    Ignacio Serna, Aythami Morales, Julian Fierrez, Javier Ortega-Garcia
    http://arxiv.org/abs/2109.04374v2

    • [cs.CV]LibFewShot: A Comprehensive Library for Few-shot Learning
    Wenbin Li, Chuanqi Dong, Pinzhuo Tian, Tiexin Qin, Xuesong Yang, Ziyi Wang, Jing Huo, Yinghuan Shi, Lei Wang, Yang Gao, Jiebo Luo
    http://arxiv.org/abs/2109.04898v1

    • [cs.CV]Line as a Visual Sentence: Context-aware Line Descriptor for Visual Localization
    Sungho Yoon, Ayoung Kim
    http://arxiv.org/abs/2109.04753v1

    • [cs.CV]Negative Sample Matters: A Renaissance of Metric Learning for Temporal Grounding
    Zhenzhi Wang, Limin Wang, Tao Wu, Tianhao Li, Gangshan Wu
    http://arxiv.org/abs/2109.04872v1

    • [cs.CV]PIP: Physical Interaction Prediction via Mental Imagery with Span Selection
    Jiafei Duan, Samson Yu, Soujanya Poria, Bihan Wen, Cheston Tan
    http://arxiv.org/abs/2109.04683v1

    • [cs.CV]Panoptic Narrative Grounding
    C. González, N. Ayobi, I. Hernández, J. Hernández, J. Pont-Tuset, P. Arbeláez
    http://arxiv.org/abs/2109.04988v1

    • [cs.CV]Reconstructing and grounding narrated instructional videos in 3D
    Dimitri Zhukov, Ignacio Rocco, Ivan Laptev, Josef Sivic, Johannes L. Schönberger, Bugra Tekin, Marc Pollefeys
    http://arxiv.org/abs/2109.04409v2

    • [cs.CV]Spatio-Temporal Recurrent Networks for Event-Based Optical Flow Estimation
    Ziluo Ding, Rui Zhao, Jiyuan Zhang, Tianxiao Gao, Ruiqin Xiong, Zhaofei Yu, Tiejun Huang
    http://arxiv.org/abs/2109.04871v1

    • [cs.CV]TADA: Taxonomy Adaptive Domain Adaptation
    Rui Gong, Martin Danelljan, Dengxin Dai, Wenguan Wang, Danda Pani Paudel, Ajad Chhatkuli, Fisher Yu, Luc Van Gool
    http://arxiv.org/abs/2109.04813v1

    • [cs.CV]Temporally Coherent Person Matting Trained on Fake-Motion Dataset
    Ivan Molodetskikh, Mikhail Erofeev, Andrey Moskalenko, Dmitry Vatolin
    http://arxiv.org/abs/2109.04843v1

    • [cs.CV]Unsupervised Change Detection in Hyperspectral Images using Feature Fusion Deep Convolutional Autoencoders
    Debasrita Chakraborty, Ashish Ghosh
    http://arxiv.org/abs/2109.04990v1

    • [cs.DC]3D Real-Time Supercomputer Monitoring
    Bill Bergeron, Matthew Hubbell, Dylan Sequeira, Winter Williams, William Arcand, David Bestor, Chansup, Byun, Vijay Gadepally, Michael Houle, Michael Jones, Anna Klien, Peter Michaleas, Lauren Milechin, Julie Mullen Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Charles Yee, Jeremy Kepner
    http://arxiv.org/abs/2109.04532v1

    • [cs.DC]An Execution Fingerprint Dictionary for HPC Application Recognition
    Thomas Jakobsche, Nicolas Lachiche, Aurélien Cavelan, Florina M. Ciorba
    http://arxiv.org/abs/2109.04766v1

    • [cs.DC]Analytical Process Scheduling Optimization for Heterogeneous Multi-core Systems
    Chien-Hao Chen, Ren-Song Tsay
    http://arxiv.org/abs/2109.04605v1

    • [cs.DC]Efficient Exascale Discretizations: High-Order Finite Element Methods
    Tzanio Kolev, Paul Fischer, Misun Min, Jack Dongarra, Jed Brown, Veselin Dobrev, Tim Warburton, Stanimire Tomov, Mark S. Shephard, Ahmad Abdelfattah, Valeria Barra, Natalie Beams, Jean-Sylvain Camier, Noel Chalmers, Yohann Dudouit, Ali Karakus, Ian Karlin, Stefan Kerkemeier, Yu-Hsiang Lan, David Medina, Elia Merzari, Aleksandr Obabko, Will Pazner, Thilina Rathnayake, Cameron W. Smith, Lukas Spies, Kasia Swirydowicz, Jeremy Thompson, Ananias Tomboulides, Vladimir Tomov
    http://arxiv.org/abs/2109.04996v1

    • [cs.DC]RandSolomon: optimally resilient multi-party random number generation protocol
    Luciano Freitas de Souza, Sara Tucci-Piergiovanni, Renaud Sirdey, Oana Stan, Nicolas Quero, Petr Kuznetsov
    http://arxiv.org/abs/2109.04911v1

    • [cs.DS]C-MinHash: Practically Reducing Two Permutations to Just One
    Xiaoyun Li, Ping Li
    http://arxiv.org/abs/2109.04595v1

    • [cs.DS]Efficient Locally Optimal Number Set Partitioning for Scheduling, Allocation and Fair Selection
    Kaan Gokcesu, Hakan Gokcesu
    http://arxiv.org/abs/2109.04809v1

    • [cs.HC]xBalloon: Animated Objects with Balloon Plastic Actuator
    Haoran Xie, Takuma Torii, Aoshi Chiba, Qiukai Qi
    http://arxiv.org/abs/2109.04717v1

    • [cs.IR]Personalized Entity Search by Sparse and Scrutable User Profiles
    Ghazaleh Haratinezhad Torbati, Andrew Yates, Gerhard Weikum
    http://arxiv.org/abs/2109.04713v1

    • [cs.IR]Query-driven Segment Selection for Ranking Long Documents
    Youngwoo Kim, Razieh Rahimi, Hamed Bonab, James Allan
    http://arxiv.org/abs/2109.04611v1

    • [cs.IR]Trust your neighbors: A comprehensive survey of neighborhood-based methods for recommender systems
    Athanasios N. Nikolakopoulos, Xia Ning, Christian Desrosiers, George Karypis
    http://arxiv.org/abs/2109.04584v1

    • [cs.IR]You Get What You Chat: Using Conversations to Personalize Search-based Recommendations
    Ghazaleh Haratinezhad Torbati, Andrew Yates, Gerhard Weikum
    http://arxiv.org/abs/2109.04716v1

    • [cs.IT]Constructions of Binary Cross Z-Complementary Pairs With Large CZC Ratio
    Hui Zhang, Cuiling Fan, Sihem Mesnager
    http://arxiv.org/abs/2109.04934v1

    • [cs.IT]Multi-agent deep reinforcement learning (MADRL) meets multi-user MIMO systems
    Heunchul Lee, Jaeseong Jeong
    http://arxiv.org/abs/2109.04986v1

    • [cs.IT]Notes on Generalizing the Maximum Entropy Principle to Uncertain Data
    Kenneth Bogert
    http://arxiv.org/abs/2109.04530v1

    • [cs.IT]Unselfish Coded Caching can Yield Unbounded Gains over Symmetrically Selfish Caching
    Federico Brunero, Petros Elia
    http://arxiv.org/abs/2109.04807v1

    • [cs.LG]6MapNet: Representing soccer players from tracking data by a triplet network
    Hyunsung Kim, Jihun Kim, Dongwook Chung, Jonghyun Lee, Jinsung Yoon, Sang-Ki Ko
    http://arxiv.org/abs/2109.04720v1

    • [cs.LG]A Fast PC Algorithm with Reversed-order Pruning and A Parallelization Strategy
    Kai Zhang, Chao Tian, Kun Zhang, Todd Johnson, Xiaoqian Jiang
    http://arxiv.org/abs/2109.04626v1

    • [cs.LG]A Neural Tangent Kernel Perspective of Infinite Tree Ensembles
    Ryuichi Kanoh, Mahito Sugiyama
    http://arxiv.org/abs/2109.04983v1

    • [cs.LG]A Study of Joint Graph Inference and Forecasting
    Daniel Zügner, François-Xavier Aubet, Victor Garcia Satorras, Tim Januschowski, Stephan Günnemann, Jan Gasthaus
    http://arxiv.org/abs/2109.04979v1

    • [cs.LG]Assessing the Quality of the Datasets by Identifying Mislabeled Samples
    Vaibhav Pulastya, Gaurav Nuti, Yash Kumar Atri, Tanmoy Chakraborty
    http://arxiv.org/abs/2109.05000v1

    • [cs.LG]Block Pruning For Faster Transformers
    François Lagunas, Ella Charlaix, Victor Sanh, Alexander M. Rush
    http://arxiv.org/abs/2109.04838v1

    • [cs.LG]Bootstrapped Meta-Learning
    Sebastian Flennerhag, Yannick Schroecker, Tom Zahavy, Hado van Hasselt, David Silver, Satinder Singh
    http://arxiv.org/abs/2109.04504v1

    • [cs.LG]Counterfactual Adversarial Learning with Representation Interpolation
    Wei Wang, Boxin Wang, Ning Shi, Jinfeng Li, Bingyu Zhu, Xiangyu Liu, Rong Zhang
    http://arxiv.org/abs/2109.04746v1

    • [cs.LG]Dynamic Collective Intelligence Learning: Finding Efficient Sparse Model via Refined Gradients for Pruned Weights
    Jangho Kim, Jayeon Yoo, Yeji Song, KiYoon Yoo, Nojun Kwak
    http://arxiv.org/abs/2109.04660v1

    • [cs.LG]Efficiently Identifying Task Groupings for Multi-Task Learning
    Christopher Fifty, Ehsan Amid, Zhe Zhao, Tianhe Yu, Rohan Anil, Chelsea Finn
    http://arxiv.org/abs/2109.04617v1

    • [cs.LG]Enhancing Unsupervised Anomaly Detection with Score-Guided Network
    Zongyuan Huang, Baohua Zhang, Guoqiang Hu, Longyuan Li, Yanyan Xu, Yaohui Jin
    http://arxiv.org/abs/2109.04684v1

    • [cs.LG]Fairness without the sensitive attribute via Causal Variational Autoencoder
    Vincent Grari, Sylvain Lamprier, Marcin Detyniecki
    http://arxiv.org/abs/2109.04999v1

    • [cs.LG]Feature-based Individual Fairness in k-Clustering
    Debajyoti Kar, Sourav Medya, Debmalya Mandal, Arlei Silva, Palash Dey, Swagato Sanyal
    http://arxiv.org/abs/2109.04554v1

    • [cs.LG]Hybrid modeling of the human cardiovascular system using NeuralFMUs
    Tobias Thummerer, Johannes Tintenherr, Lars Mikelsons
    http://arxiv.org/abs/2109.04880v1

    • [cs.LG]Inverse design of 3d molecular structures with conditional generative neural networks
    Niklas W. A. Gebauer, Michael Gastegger, Stefaan S. P. Hessmann, Klaus-Robert Müller, Kristof T. Schütt
    http://arxiv.org/abs/2109.04824v1

    • [cs.LG]Learning to Teach with Student Feedback
    Yitao Liu, Tianxiang Sun, Xipeng Qiu, Xuanjing Huang
    http://arxiv.org/abs/2109.04641v1

    • [cs.LG]Mesh convolutional neural networks for wall shear stress estimation in 3D artery models
    Julian Suk, Pim de Haan, Phillip Lippe, Christoph Brune, Jelmer M. Wolterink
    http://arxiv.org/abs/2109.04797v1

    • [cs.LG]Multi-label Classification of Aircraft Heading Changes Using Neural Network to Resolve Conflicts
    Md Siddiqur Rahman, Laurent Lapasset, Josiane Mothe
    http://arxiv.org/abs/2109.04767v1

    • [cs.LG]Multimodal Federated Learning
    Yuchen Zhao, Payam Barnaghi, Hamed Haddadi
    http://arxiv.org/abs/2109.04833v1

    • [cs.LG]PWPAE: An Ensemble Framework for Concept Drift Adaptation in IoT Data Streams
    Li Yang, Dimitrios Michael Manias, Abdallah Shami
    http://arxiv.org/abs/2109.05013v1

    • [cs.LG]ProcK: Machine Learning for Knowledge-Intensive Processes
    Tobias Jacobs, Jingyi Yu, Julia Gastinger, Timo Sztyler
    http://arxiv.org/abs/2109.04881v1

    • [cs.LG]Projected State-action Balancing Weights for Offline Reinforcement Learning
    Jiayi Wang, Zhengling Qi, Raymond K. W. Wong
    http://arxiv.org/abs/2109.04640v1

    • [cs.LG]Rapid Model Architecture Adaption for Meta-Learning
    Yiren Zhao, Xitong Gao, Ilia Shumailov, Nicolo Fusi, Robert Mullins
    http://arxiv.org/abs/2109.04925v1

    • [cs.LG]ReLU Regression with Massart Noise
    Ilias Diakonikolas, Jongho Park, Christos Tzamos
    http://arxiv.org/abs/2109.04623v1

    • [cs.LG]Saliency Guided Experience Packing for Replay in Continual Learning
    Gobinda Saha, Kaushik Roy
    http://arxiv.org/abs/2109.04954v1

    • [cs.LG]Simulating the Effects of Eco-Friendly Transportation Selections for Air Pollution Reduction
    Keiichi Ochiai, Tsukasa Demizu, Shin Ishiguro, Shohei Maruyama, Akihiro Kawana
    http://arxiv.org/abs/2109.04831v1

    • [cs.LG]Spatially Focused Attack against Spatiotemporal Graph Neural Networks
    Fuqiang Liu, Luis Miranda-Moreno, Lijun Sun
    http://arxiv.org/abs/2109.04608v1

    • [cs.LG]Style Pooling: Automatic Text Style Obfuscation for Improved Classification Fairness
    Fatemehsadat Mireshghallah, Taylor Berg-Kirkpatrick
    http://arxiv.org/abs/2109.04624v1

    • [cs.LG]Unfolding Projection-free SDP Relaxation of Binary Graph Classifier via GDPA Linearization
    Cheng Yang, Gene Cheung, Wai-tian Tan, Guangtao Zhai
    http://arxiv.org/abs/2109.04697v1

    • [cs.LO]Knowledge-Assisted Reasoning of Model-Augmented System Requirements with Event Calculus and Goal-Directed Answer Set Programming
    Brendan Hall, Sarat Chandra Varanasi, Jan Fiedor, Joaquín Arias, Kinjal Basu, Fang Li, Devesh Bhatt, Kevin Driscoll, Elmer Salazar, Gopal Gupta
    http://arxiv.org/abs/2109.04634v1

    • [cs.NE]Characterization of Constrained Continuous Multiobjective Optimization Problems: A Feature Space Perspective
    Aljoša Vodopija, Tea Tušar, Bogdan Filipič
    http://arxiv.org/abs/2109.04564v1

    • [cs.NE]Citizen centric optimal electric vehicle charging stations locations in a full city: case of Malaga
    Christian Cintrano, Jamal Toutouh, Enrique Alba
    http://arxiv.org/abs/2109.04975v1

    • [cs.NI]A Dynamic Scheduling Policy for a Network with Heterogeneous Time-Sensitive Traffic
    Emmanouil Fountoulakis, Themistoklis Charalambous, Anthony Ephremides, Nikolaos Pappas
    http://arxiv.org/abs/2109.04784v1

    • [cs.PF]Performance Analysis of CP2K Code for Ab Initio Molecular Dynamics
    Dewi Yokelson, Nikolay V. Tkachenko, Robert Robey, Ying Wai Li, Pavel A. Dub
    http://arxiv.org/abs/2109.04536v1

    • [cs.RO]A Holistic Approach to Reactive Mobile Manipulation
    Jesse Haviland, Niko Sünderhauf, Peter Corke
    http://arxiv.org/abs/2109.04749v1

    • [cs.RO]A Suitable Hierarchical Framework with Arbitrary Task Dimensions under Unilateral Constraints for physical Human Robot Interaction
    Juan David Munoz-Osorio, Felix Allmendinger
    http://arxiv.org/abs/2109.04743v1

    • [cs.RO]A Unified Model with Inertia Shaping for Highly Dynamic Jumps of Legged Robots
    Ke Wang, Guiyang Xin, Songyan Xin, Michael Mistry, Sethu Vijayakumar, Petar Kormushev
    http://arxiv.org/abs/2109.04581v1

    • [cs.RO]Binarized P-Network: Deep Reinforcement Learning of Robot Control from Raw Images on FPGA
    Yuki Kadokawa, Yoshihisa Tsurumine, Takamitsu Matsubara
    http://arxiv.org/abs/2109.04966v1

    • [cs.RO]Bodies Uncovered: Learning to Manipulate Real Blankets Around People via Physics Simulations
    Kavya Puthuveetil, Charles C. Kemp, Zackory Erickson
    http://arxiv.org/abs/2109.04930v1

    • [cs.RO]CLINS: Continuous-Time Trajectory Estimation for LiDAR-Inertial System
    Jiajun Lv, Kewei Hu, Jinhong Xu, Yong Liu, Xiushui Ma, Xingxing Zuo
    http://arxiv.org/abs/2109.04687v1

    • [cs.RO]Closing the Sim2Real Gap in Dynamic Cloth Manipulation
    Julius Hietala, David Blanco-Mulero, Gokhan Alcan, Ville Kyrki
    http://arxiv.org/abs/2109.04771v1

    • [cs.RO]Discretizing Dynamics for Maximum Likelihood Constraint Inference
    Kaylene C. Stocking, David L. McPherson, Robert P. Matthew, Claire J. Tomlin
    http://arxiv.org/abs/2109.04874v1

    • [cs.RO]Error State Extended Kalman Filter Multi-Sensor Fusion for Unmanned Aerial Vehicle Localization in GPS and Magnetometer Denied Indoor Environments
    Lovro Markovic, Marin Kovac, Robert Milijas, Marko Car, Stjepan Bogdan
    http://arxiv.org/abs/2109.04908v1

    • [cs.RO]Estimation and Adaption of Indoor Ego Airflow Disturbance with Application to Quadrotor Trajectory Planning
    Luqi Wang, Boyu Zhou, Chuhao Liu, Shaojie Shen
    http://arxiv.org/abs/2109.04918v1

    • [cs.RO]Follow the Gradient: Crossing the Reality Gap using Differentiable Physics (RealityGrad)
    Jack Collins, Ross Brown, Jürgen Leitner, David Howard
    http://arxiv.org/abs/2109.04674v1

    • [cs.RO]GPA-Teleoperation: Gaze Enhanced Perception-aware Safe Assistive Aerial Teleoperation
    Qianhao Wang, Botao He, Zhiren Xun, Chao Xu, Fei Gao
    http://arxiv.org/abs/2109.04907v1

    • [cs.RO]Heading Estimation Using Ultra-Wideband Received Signal Strength and Gaussian Processes
    Daniil Lisus, Charles Champagne Cossette, Mohammed Shalaby, James Richard Forbes
    http://arxiv.org/abs/2109.04868v1

    • [cs.RO]Human-Robot Interaction via a Joint-Initiative Supervised Autonomy (JISA) Framework
    Abbas Sidaoui, Naseem Daher, Daniel Asmar
    http://arxiv.org/abs/2109.04837v1

    • [cs.RO]Jammkle: Fibre jamming 3D printed multi-material tendons and their application in a robotic ankle
    James Brett, Katrina Lo Surdo, Lauren Hanson, Joshua Pinskier, David Howard
    http://arxiv.org/abs/2109.04681v1

    • [cs.RO]KNODE-MPC: A Knowledge-based Data-driven Predictive Control Framework for Aerial Robots
    Kong Yao Chee, Tom Z. Jiahao, M. Ani Hsieh
    http://arxiv.org/abs/2109.04821v1

    • [cs.RO]Learning to Swarm with Knowledge-Based Neural Ordinary Differential Equations
    Tom Z. Jiahao, Lishuo Pan, M. Ani Hsieh
    http://arxiv.org/abs/2109.04927v1

    • [cs.RO]On Inverse Inertia Matrix and Contact-Force Model for Robotic Manipulators at Normal Impacts
    Yuquan Wang, Niels Dehio, Abderrahmane Kheddar
    http://arxiv.org/abs/2109.04756v1

    • [cs.RO]Optimizing Space Utilization for More Effective Multi-Robot Path Planning
    Shuai D. Han, Jingjin Yu
    http://arxiv.org/abs/2109.04677v1

    • [cs.RO]PlaTe: Visually-Grounded Planning with Transformers in Procedural Tasks
    Jiankai Sun, De-An Huang, Bo Lu, Yun-Hui Liu, Bolei Zhou, Animesh Garg
    http://arxiv.org/abs/2109.04869v1

    • [cs.RO]Range, Endurance, and Optimal Speed Estimates for Multicopters
    Leonard Bauersfeld, Davide Scaramuzza
    http://arxiv.org/abs/2109.04741v1

    • [cs.RO]Risk-bounded Path Planning for Urban Air Mobility Operations under Uncertainty
    Pengcheng Wu, Junfei Xie, Yanchao Liu, Jun Chen
    http://arxiv.org/abs/2109.04606v1

    • [cs.RO]SO-SLAM: Semantic Object SLAM with Scale Proportional and Symmetrical Texture Constraints
    Ziwei Liao, Yutong Hu, Jiadong Zhang, Xianyu Qi, Xiaoyu Zhang, Wei Wang
    http://arxiv.org/abs/2109.04884v1

    • [cs.RO]TIE: An Autonomous and Adaptive Terrestrial-Aerial Quadrotor
    Ruibin Zhang, Yuze Wu, Lixian Zhang, Chao Xu, Fei Gao
    http://arxiv.org/abs/2109.04706v1

    • [cs.RO]Trajectory Optimization with Optimization-Based Dynamics
    Taylor A. Howell, Simon Le Cleac’h, Sumeet Singh, Pete Florence, Zachary Manchester, Vikas Sindhwani
    http://arxiv.org/abs/2109.04928v1

    • [cs.RO]Where Should I Look? Optimised Gaze Control for Whole-Body Collision Avoidance in Dynamic Environments
    Mark Nicholas Finean, Wolfgang Merkt, Ioannis Havoutis
    http://arxiv.org/abs/2109.04721v1

    • [cs.SD]Self-Attention Channel Combinator Frontend for End-to-End Multichannel Far-field Speech Recognition
    Rong Gong, Carl Quillen, Dushyant Sharma, Andrew Goderre, José Laínez, Ljubomir Milanović
    http://arxiv.org/abs/2109.04783v1

    • [cs.SE]How Can Subgroup Discovery Help AIOps?
    Youcef Remil
    http://arxiv.org/abs/2109.04909v1

    • [cs.SE]On the validity of pre-trained transformers for natural language processing in the software engineering domain
    Julian von der Mosel, Alexander Trautsch, Steffen Herbold
    http://arxiv.org/abs/2109.04738v1

    • [cs.SI]FR-Detect: A Multi-Modal Framework for Early Fake News Detection on Social Media Using Publishers Features
    Ali Jarrahi, Leila Safari
    http://arxiv.org/abs/2109.04835v1

    • [cs.SI]GenCAT: Generating Attributed Graphs with Controlled Relationships between Classes, Attributes, and Topology
    Seiji Maekawa, Yuya Sasaki, George Fletcher, Makoto Onizuka
    http://arxiv.org/abs/2109.04639v1

    • [cs.SI]Prediction and Prevention of Pandemics via Graphical Model Inference and Convex Programming
    Mikhail Krechetov, Amir Mohammad Esmaieeli Sikaroudi, Alon Efrat, Valentin Polishchuk, Michael Chertkov
    http://arxiv.org/abs/2109.04517v1

    • [cs.SI]WikiCSSH: Extracting and Evaluating Computer Science Subject Headings from Wikipedia
    Kanyao Han, Pingjing Yang, Shubhanshu Mishra, Jana Diesner
    http://arxiv.org/abs/2109.04945v1

    • [eess.IV]Automatic Displacement and Vibration Measurement in Laboratory Experiments with A Deep Learning Method
    Yongsheng Bai, Ramzi M. Abduallah, Halil Sezen, Alper Yilmaz
    http://arxiv.org/abs/2109.04960v1

    • [eess.IV]ReconfigISP: Reconfigurable Camera Image Processing Pipeline
    Ke Yu, Zexian Li, Yue Peng, Chen Change Loy, Jinwei Gu
    http://arxiv.org/abs/2109.04760v1

    • [eess.IV]View Blind-spot as Inpainting: Self-Supervised Denoising with Mask Guided Residual Convolution
    Yuhongze Zhou, Liguang Zhou, Tin Lun Lam, Yangsheng Xu
    http://arxiv.org/abs/2109.04970v1

    • [eess.SP]GPS-Denied Navigation Using Low-Cost Inertial Sensors and Recurrent Neural Networks
    Ahmed AbdulMajuid, Osama Mohamady, Mohannad Draz, Gamal El-bayoumi
    http://arxiv.org/abs/2109.04861v1

    • [eess.SY]Secondary control activation analysed and predicted with explainable AI
    Johannes Kruse, Benjamin Schäfer, Dirk Witthaut
    http://arxiv.org/abs/2109.04802v1

    • [math.DG]Kahler toric manifolds from dually flat spaces
    Mathieu Molitor
    http://arxiv.org/abs/2109.04839v1

    • [math.OC]Asynchronous Iterations in Optimization: New Sequence Results and Sharper Algorithmic Guarantees
    Hamid Reza Feyzmahdavian, Mikael Johansson
    http://arxiv.org/abs/2109.04522v1

    • [math.OC]DIRECT: A Differential Dynamic Programming Based Framework for Trajectory Generation
    Kun Cao, Muqing Cao, Shenghai Yuan, Lihua Xie
    http://arxiv.org/abs/2109.04686v1

    • [math.ST]On the eigenvalues associated with the limit null distribution of the Epps-Pulley test of normality
    Bruno Ebner, Norbert Henze
    http://arxiv.org/abs/2109.04897v1

    • [math.ST]Sharp regret bounds for empirical Bayes and compound decision problems
    Yury Polyanskiy, Yihong Wu
    http://arxiv.org/abs/2109.03943v2

    • [physics.soc-ph]Consensus dynamics on temporal hypergraphs
    Leonie Neuhäuser, Renaud Lambiotte, Michael T. Schaub
    http://arxiv.org/abs/2109.04985v1

    • [physics.space-ph]Unsupervised classification of simulated magnetospheric regions
    Maria Elena Innocenti, Jorge Amaya, Joachim Raeder, Romain Dupuis, Banafsheh Ferdousi, Giovanni Lapenta
    http://arxiv.org/abs/2109.04916v1

    • [q-bio.GN]Spike2Vec: An Efficient and Scalable Embedding Approach for COVID-19 Spike Sequences
    Sarwan Ali, Murray Patterson
    http://arxiv.org/abs/2109.05019v1

    • [stat.ME]A Proximal Distance Algorithm for Likelihood-Based Sparse Covariance Estimation
    Jason Xu, Kenneth Lange
    http://arxiv.org/abs/2109.04497v1

    • [stat.ME]Differentially private methods for managing model uncertainty in linear regression models
    Víctor Peña, Andrés F. Barrientos
    http://arxiv.org/abs/2109.03949v2

    • [stat.ME]Implicit Copulas: An Overview
    Michael Stanley Smith
    http://arxiv.org/abs/2109.04718v1

    • [stat.ME]Interaction Models and Generalized Score Matching for Compositional Data
    Shiqing Yu, Mathias Drton, Ali Shojaie
    http://arxiv.org/abs/2109.04671v1

    • [stat.ME]Low-rank statistical finite elements for scalable model-data synthesis
    Connor Duffin, Edward Cripps, Thomas Stemler, Mark Girolami
    http://arxiv.org/abs/2109.04757v1

    • [stat.ME]Principal component analysis for high-dimensional compositional data
    Jingru Zhang, Wei Lin
    http://arxiv.org/abs/2109.04657v1

    • [stat.ME]Reducing bias and alleviating the influence of excess of zeros with multioutcome adaptive LAD-lasso
    Jyrki Möttönen, Tero Lähderanta, Janne Salonen, Mikko J. Sillanpää
    http://arxiv.org/abs/2109.04798v1

    • [stat.ML]Best-Arm Identification in Correlated Multi-Armed Bandits
    Samarth Gupta, Gauri Joshi, Osman Yağan
    http://arxiv.org/abs/2109.04941v1

    • [stat.ML]Differential Privacy in Personalized Pricing with Nonparametric Demand Models
    Xi Chen, Sentao Miao, Yining Wang
    http://arxiv.org/abs/2109.04615v1

    • [stat.ML]Ergodic Limits, Relaxations, and Geometric Properties of Random Walk Node Embeddings
    Christy Lin, Daniel Sussman, Prakash Ishwar
    http://arxiv.org/abs/2109.04526v1

    • [stat.ML]Neural Networks for Latent Budget Analysis of Compositional Data
    Zhenwei Yang, Ayoub Bagheri, P. G. M van der Heijden
    http://arxiv.org/abs/2109.04875v1

    • [stat.ML]Supervising the Decoder of Variational Autoencoders to Improve Scientific Utility
    Liyun Tu, Austin Talbot, Neil Gallagher, David Carlson
    http://arxiv.org/abs/2109.04561v1