astro-ph.IM - 仪器仪表和天体物理学方法
    cs.AI - 人工智能
    cs.CE - 计算工程、 金融和科学
    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.IR - 信息检索
    cs.IT - 信息论
    cs.LG - 自动学习
    cs.NE - 神经与进化计算
    cs.RO - 机器人学
    cs.SE - 软件工程
    cs.SI - 社交网络与信息网络
    econ.EM - 计量经济学
    eess.AS - 语音处理
    math.PR - 概率
    math.ST - 统计理论
    physics.chem-ph -化学物理
    q-bio.NC - 神经元与认知
    q-bio.QM - 定量方法
    stat.AP - 应用统计
    stat.ME - 统计方法论
    stat.ML - (统计)机器学习

    • [astro-ph.IM]Self-Calibrating the Look-Elsewhere Effect: Fast Evaluation of the Statistical Significance Using Peak Heights
    • [cs.AI]Deep adversarial attack on target detection systems
    • [cs.AI]Detecting socially interacting groups using f-formation: A survey of taxonomy, methods, datasets, applications, challenges, and future research directions
    • [cs.AI]Knowledge Graph Reasoning with Relational Directed Graph
    • [cs.AI]One-shot Transfer Learning for Population Mapping
    • [cs.AI]Optical Adversarial Attack
    • [cs.AI]SPACE: A Simulator for Physical Interactions and Causal Learning in 3D Environments
    • [cs.AI]Sophisticated Students in Boston Mechanism and Gale-Shapley Algorithm for School Choice Problem
    • [cs.CE]A reduced-order modeling framework for simulating signatures of faults in a bladed disk
    • [cs.CL]A Dataset for Answering Time-Sensitive Questions
    • [cs.CL]Aspect Sentiment Triplet Extraction Using Reinforcement Learning
    • [cs.CL]Diachronic Analysis of German Parliamentary Proceedings: Ideological Shifts through the Lens of Political Biases
    • [cs.CL]FlipDA: Effective and Robust Data Augmentation for Few-Shot Learning
    • [cs.CL]Hatemoji: A Test Suite and Adversarially-Generated Dataset for Benchmarking and Detecting Emoji-based Hate
    • [cs.CL]Low-Resource Adaptation of Open-Domain Generative Chatbots
    • [cs.CL]MeetSum: Transforming Meeting Transcript Summarization using Transformers!
    • [cs.CL]Overview of the HASOC track at FIRE 2020: Hate Speech and Offensive Content Identification in Indo-European Languages
    • [cs.CL]Post-hoc Interpretability for Neural NLP: A Survey
    • [cs.CL]Semantic Answer Similarity for Evaluating Question Answering Models
    • [cs.CL]Towards Structured Dynamic Sparse Pre-Training of BERT
    • [cs.CR]Jasmine: A New Active Learning Approach to Combat Cybercrime
    • [cs.CV]3D point cloud segmentation using GIS
    • [cs.CV]A Systematic Benchmarking Analysis of Transfer Learning for Medical Image Analysis
    • [cs.CV]AGKD-BML: Defense Against Adversarial Attack by Attention Guided Knowledge Distillation and Bi-directional Metric Learning
    • [cs.CV]An Interpretable Algorithm for Uveal Melanoma Subtyping from Whole Slide Cytology Images
    • [cs.CV]CNN-based Two-Stage Parking Slot Detection Using Region-Specific Multi-Scale Feature Extraction
    • [cs.CV]Detection and Captioning with Unseen Object Classes
    • [cs.CV]Dual Path Learning for Domain Adaptation of Semantic Segmentation
    • [cs.CV]EEEA-Net: An Early Exit Evolutionary Neural Architecture Search
    • [cs.CV]Evaluating the Robustness of Semantic Segmentation for Autonomous Driving against Real-World Adversarial Patch Attacks
    • [cs.CV]Generative Zero-Shot Learning for Semantic Segmentation of 3D Point Cloud
    • [cs.CV]IFR: Iterative Fusion Based Recognizer For Low Quality Scene Text Recognition
    • [cs.CV]Learning Transferable Parameters for Unsupervised Domain Adaptation
    • [cs.CV]MUSIQ: Multi-scale Image Quality Transformer
    • [cs.CV]Modal-Adaptive Gated Recoding Network for RGB-D Salient Object Detection
    • [cs.CV]Non-imaging real-time detection and tracking of fast-moving objects
    • [cs.CV]Point-Voxel Transformer: An Efficient Approach To 3D Deep Learning
    • [cs.CV]Robustness testing of AI systems: A case study for traffic sign recognition
    • [cs.CV]SimCVD: Simple Contrastive Voxel-Wise Representation Distillation for Semi-Supervised Medical Image Segmentation
    • [cs.CV]TVT: Transferable Vision Transformer for Unsupervised Domain Adaptation
    • [cs.CV]Towards Efficient Point Cloud Graph Neural Networks Through Architectural Simplification
    • [cs.CY]Computing Research for the Climate Crisis
    • [cs.CY]The Development of Central Bank Digital Currency in China: An Analysis
    • [cs.DC]A Distributed SGD Algorithm with Global Sketching for Deep Learning Training Acceleration
    • [cs.DC]BESS Aided Reconfigurable Energy Supply using Deep Reinforcement Learning for 5G and Beyond
    • [cs.DC]Digital Twin of a Cloud Data Centre: OpenStack Cluster Visualisation
    • [cs.DC]HPTMT Parallel Operators for High Performance Data Science & Data Engineering
    • [cs.DC]Quantifying and Improving Performance of Distributed Deep Learning with Cloud Storage
    • [cs.DC]SAFE: Secure Aggregation with Failover and Encryption
    • [cs.DC]Scalable3-BO: Big Data meets HPC - A scalable asynchronous parallel high-dimensional Bayesian optimization framework on supercomputers
    • [cs.IR]Conditional Sequential Slate Optimization
    • [cs.IR]GQE-PRF: Generative Query Expansion with Pseudo-Relevance Feedback
    • [cs.IR]On Single and Multiple Representations in Dense Passage Retrieval
    • [cs.IR]PAIR: Leveraging Passage-Centric Similarity Relation for Improving Dense Passage Retrieval
    • [cs.IR]TPRM: A Topic-based Personalized Ranking Model for Web Search
    • [cs.IR]Zero-shot Task Transfer for Invoice Extraction via Class-aware QA Ensemble
    • [cs.IT]A Parallel Distributed Algorithm for the Power SVD Method
    • [cs.IT]A VCSEL Array Transmission System with Novel Beam Activation Mechanisms
    • [cs.IT]An efficient implementation of the Shamir secret sharing scheme
    • [cs.IT]DeepIC: Coding for Interference Channels via Deep Learning
    • [cs.IT]Downlink Resource Allocation in Multiuser Cell-free MIMO Networks with User-centric Clustering
    • [cs.IT]Hardware-Aware Beamspace Precoding for All-Digital mmWave Massive MU-MIMO
    • [cs.IT]IRS-aided Wireless Powered MEC Systems: TDMA or NOMA for Computation Offloading?
    • [cs.IT]Interference Mitigation using Optimized Angle Diversity Receiver in LiFi Cellular network
    • [cs.IT]New Constructions of Golay Complementary Pair/Array with Large Zero Correlation Zone
    • [cs.IT]Sleep, Sense or Transmit: Energy-Age Tradeoff for Status Update with Two-Thresholds Optimal Policy
    • [cs.LG]Adaptive Positive-Unlabelled Learning via Markov Diffusion
    • [cs.LG]Alzheimer’s Disease Diagnosis via Deep Factorization Machine Models
    • [cs.LG]An Information-theoretic Perspective of Hierarchical Clustering
    • [cs.LG]An Operator Splitting View of Federated Learning
    • [cs.LG]Beyond Fairness Metrics: Roadblocks and Challenges for Ethical AI in Practice
    • [cs.LG]Charts and atlases for nonlinear data-driven models of dynamics on manifolds
    • [cs.LG]Context Aware Object Geotagging
    • [cs.LG]Continual Backprop: Stochastic Gradient Descent with Persistent Randomness
    • [cs.LG]Curriculum Learning: A Regularization Method for Efficient and Stable Billion-Scale GPT Model Pre-Training
    • [cs.LG]Data Quality Toolkit: Automatic assessment of data quality and remediation for machine learning datasets
    • [cs.LG]Datasets for Studying Generalization from Easy to Hard Examples
    • [cs.LG]FedPara: Low-rank Hadamard Product Parameterization for Efficient Federated Learning
    • [cs.LG]Follow the Prophet: Accurate Online Conversion Rate Prediction in the Face of Delayed Feedback
    • [cs.LG]MIND - Mainstream and Independent News Documents Corpus
    • [cs.LG]Online Fairness-Aware Learning with Imbalanced Data Streams
    • [cs.LG]Q-Mixing Network for Multi-Agent Pathfinding in Partially Observable Grid Environments
    • [cs.LG]Random Subspace Mixture Models for Interpretable Anomaly Detection
    • [cs.LG]Room Classification on Floor Plan Graphs using Graph Neural Networks
    • [cs.LG]ST-PCNN: Spatio-Temporal Physics-Coupled Neural Networks for Dynamics Forecasting
    • [cs.LG]Spatio-Temporal Split Learning
    • [cs.LG]TDM: Trustworthy Decision-Making via Interpretability Enhancement
    • [cs.LG]Understanding Structural Vulnerability in Graph Convolutional Networks
    • [cs.LG]Using Machine Learning to Predict Engineering Technology Students’ Success with Computer Aided Design
    • [cs.NE]Neuromorphic Processing: A Unifying Tutorial
    • [cs.RO]Co-GAIL: Learning Diverse Strategies for Human-Robot Collaboration
    • [cs.RO]DRQN-based 3D Obstacle Avoidance with a Limited Field of View
    • [cs.RO]Ergonomically Intelligent Physical Human-Robot Interaction: Postural Estimation, Assessment, and Optimization
    • [cs.RO]Hierarchical Image-Goal Navigation in Real Crowded Scenarios
    • [cs.RO]Package Delivery Using Autonomous Drones in Skyways
    • [cs.RO]Piecewise Linear De-skewing for LiDAR Inertial Odometry
    • [cs.RO]Reinforcement Learning for Robot Navigation with Adaptive ExecutionDuration (AED) in a Semi-Markov Model
    • [cs.RO]Safe Learning in Robotics: From Learning-Based Control to Safe Reinforcement Learning
    • [cs.SE]On the Relation of Trust and Explainability: Why to Engineer for Trustworthiness
    • [cs.SI]Pre-training of Temporal Convolutional Neural Networks for Popularity Prediction
    • [econ.EM]A Unified Frequency Domain Cross-Validatory Approach to HAC Standard Error Estimation
    • [eess.AS]Enhancing audio quality for expressive Neural Text-to-Speech
    • [math.PR]Ergodic properties of some Markov chains models in random environments
    • [math.ST]Generalized Bayes Estimators with Closed forms for the Normal Mean and Covariance Matrices
    • [math.ST]On stochastic expansions of empirical distribution function of residuals in autoregression schemes
    • [math.ST]Stochastic orders and measures of skewness and dispersion based on expectiles
    • [physics.chem-ph]Efficient force field and energy emulation through partition of permutationally equivalent atoms
    • [q-bio.NC]Bridging the gap between emotion and joint action
    • [q-bio.QM]Graph2MDA: a multi-modal variational graph embedding model for predicting microbe-drug associations
    • [stat.AP]The application of sub-seasonal to seasonal (S2S) predictions for hydropower forecasting
    • [stat.ME]Change Point Analysis of Multivariate Data via Multivariate Rank-based Distribution-free Nonparametric Testing Using Measure Transportation
    • [stat.ME]Fréchet single index models for object response regression
    • [stat.ME]Non-parametric estimation of cumulative (residual) extropy with censored observations
    • [stat.ME]Statistical Learning using Sparse Deep Neural Networks in Empirical Risk Minimization
    • [stat.ML]Data-driven advice for interpreting local and global model predictions in bioinformatics problems
    • [stat.ML]Multi-Stage Graph Peeling Algorithm for Probabilistic Core Decomposition

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

    • [astro-ph.IM]Self-Calibrating the Look-Elsewhere Effect: Fast Evaluation of the Statistical Significance Using Peak Heights
    Adrian E. Bayer, Uros Seljak, Jakob Robnik
    http://arxiv.org/abs/2108.06333v1

    • [cs.AI]Deep adversarial attack on target detection systems
    Uche M. Osahor, Nasser M. Nasrabadi
    http://arxiv.org/abs/2108.05948v1

    • [cs.AI]Detecting socially interacting groups using f-formation: A survey of taxonomy, methods, datasets, applications, challenges, and future research directions
    Hrishav Bakul Barua, Theint Haythi Mg, Pradip Pramanick, Chayan Sarkar
    http://arxiv.org/abs/2108.06181v1

    • [cs.AI]Knowledge Graph Reasoning with Relational Directed Graph
    Yongqi Zhang, Quanming Yao
    http://arxiv.org/abs/2108.06040v1

    • [cs.AI]One-shot Transfer Learning for Population Mapping
    Erzhuo Shao, Jie Feng, Yingheng Wang, Tong Xia, Yong Li
    http://arxiv.org/abs/2108.06228v1

    • [cs.AI]Optical Adversarial Attack
    Abhiram Gnanasambandam, Alex M. Sherman, Stanley H. Chan
    http://arxiv.org/abs/2108.06247v1

    • [cs.AI]SPACE: A Simulator for Physical Interactions and Causal Learning in 3D Environments
    Jiafei Duan, Samson Yu Bai Jian, Cheston Tan
    http://arxiv.org/abs/2108.06180v1

    • [cs.AI]Sophisticated Students in Boston Mechanism and Gale-Shapley Algorithm for School Choice Problem
    Abhishek Paudel
    http://arxiv.org/abs/2108.05951v1

    • [cs.CE]A reduced-order modeling framework for simulating signatures of faults in a bladed disk
    Divya Shyam Singh, Atul Agrawal, D. Roy Mahapatra
    http://arxiv.org/abs/2108.06265v1

    • [cs.CL]A Dataset for Answering Time-Sensitive Questions
    Wenhu Chen, Xinyi Wang, William Yang Wang
    http://arxiv.org/abs/2108.06314v1

    • [cs.CL]Aspect Sentiment Triplet Extraction Using Reinforcement Learning
    Samson Yu Bai Jian, Tapas Nayak, Navonil Majumder, Soujanya Poria
    http://arxiv.org/abs/2108.06107v1

    • [cs.CL]Diachronic Analysis of German Parliamentary Proceedings: Ideological Shifts through the Lens of Political Biases
    Tobias Walter, Celina Kirschner, Steffen Eger, Goran Glavaš, Anne Lauscher, Simone Paolo Ponzetto
    http://arxiv.org/abs/2108.06295v1

    • [cs.CL]FlipDA: Effective and Robust Data Augmentation for Few-Shot Learning
    Jing Zhou, Yanan Zheng, Jie Tang, Jian Li, Zhilin Yang
    http://arxiv.org/abs/2108.06332v1

    • [cs.CL]Hatemoji: A Test Suite and Adversarially-Generated Dataset for Benchmarking and Detecting Emoji-based Hate
    Hannah Rose Kirk, Bertram Vidgen, Paul Röttger, Scott A. Hale
    http://arxiv.org/abs/2108.05921v1

    • [cs.CL]Low-Resource Adaptation of Open-Domain Generative Chatbots
    Greyson Gerhard-Young, Raviteja Anantha, Srinivas Chappidi, Björn Hoffmeister
    http://arxiv.org/abs/2108.06329v1

    • [cs.CL]MeetSum: Transforming Meeting Transcript Summarization using Transformers!
    Nima Sadri, Bohan Zhang, Bihan Liu
    http://arxiv.org/abs/2108.06310v1

    • [cs.CL]Overview of the HASOC track at FIRE 2020: Hate Speech and Offensive Content Identification in Indo-European Languages
    Thomas Mandla, Sandip Modha, Gautam Kishore Shahi, Amit Kumar Jaiswal, Durgesh Nandini, Daksh Patel, Prasenjit Majumder, Johannes Schäfer
    http://arxiv.org/abs/2108.05927v1

    • [cs.CL]Post-hoc Interpretability for Neural NLP: A Survey
    Andreas Madsen, Siva Reddy, Sarath Chandar
    http://arxiv.org/abs/2108.04840v2

    • [cs.CL]Semantic Answer Similarity for Evaluating Question Answering Models
    Julian Risch, Timo Möller, Julian Gutsch, Malte Pietsch
    http://arxiv.org/abs/2108.06130v1

    • [cs.CL]Towards Structured Dynamic Sparse Pre-Training of BERT
    Anastasia Dietrich, Frithjof Gressmann, Douglas Orr, Ivan Chelombiev, Daniel Justus, Carlo Luschi
    http://arxiv.org/abs/2108.06277v1

    • [cs.CR]Jasmine: A New Active Learning Approach to Combat Cybercrime
    Jan Klein, Sandjai Bhulai, Mark Hoogendoorn, Rob van der Mei
    http://arxiv.org/abs/2108.06238v1

    • [cs.CV]3D point cloud segmentation using GIS
    Chao-Jung Liu, Vladimir Krylov, Rozenn Dahyot
    http://arxiv.org/abs/2108.06306v1

    • [cs.CV]A Systematic Benchmarking Analysis of Transfer Learning for Medical Image Analysis
    Mohammad Reza Hosseinzadeh Taher, Fatemeh Haghighi, Ruibin Feng, Michael B. Gotway, Jianming Liang
    http://arxiv.org/abs/2108.05930v1

    • [cs.CV]AGKD-BML: Defense Against Adversarial Attack by Attention Guided Knowledge Distillation and Bi-directional Metric Learning
    Hong Wang, Yuefan Deng, Shinjae Yoo, Haibin Ling, Yuewei Lin
    http://arxiv.org/abs/2108.06017v1

    • [cs.CV]An Interpretable Algorithm for Uveal Melanoma Subtyping from Whole Slide Cytology Images
    Haomin Chen, T. Y. Alvin Liu, Catalina Gomez, Zelia Correa, Mathias Unberath
    http://arxiv.org/abs/2108.06246v1

    • [cs.CV]CNN-based Two-Stage Parking Slot Detection Using Region-Specific Multi-Scale Feature Extraction
    Quang Huy Bui, Jae Kyu Suhr
    http://arxiv.org/abs/2108.06185v1

    • [cs.CV]Detection and Captioning with Unseen Object Classes
    Berkan Demirel, Ramazan Gokberk Cinbis
    http://arxiv.org/abs/2108.06165v1

    • [cs.CV]Dual Path Learning for Domain Adaptation of Semantic Segmentation
    Yiting Cheng, Fangyun Wei, Jianmin Bao, Dong Chen, Fang Wen, Wenqiang Zhang
    http://arxiv.org/abs/2108.06337v1

    • [cs.CV]EEEA-Net: An Early Exit Evolutionary Neural Architecture Search
    Chakkrit Termritthikun, Yeshi Jamtsho, Jirarat Ieamsaard, Paisarn Muneesawang, Ivan Lee
    http://arxiv.org/abs/2108.06156v1

    • [cs.CV]Evaluating the Robustness of Semantic Segmentation for Autonomous Driving against Real-World Adversarial Patch Attacks
    Federico Nesti, Giulio Rossolini, Saasha Nair, Alessandro Biondi, Giorgio Buttazzo
    http://arxiv.org/abs/2108.06179v1

    • [cs.CV]Generative Zero-Shot Learning for Semantic Segmentation of 3D Point Cloud
    Björn Michele, Alexandre Boulch, Gilles Puy, Renaud Marlet
    http://arxiv.org/abs/2108.06230v1

    • [cs.CV]IFR: Iterative Fusion Based Recognizer For Low Quality Scene Text Recognition
    Zhiwei Jia, Shugong Xu, Shiyi Mu, Yue Tao, Shan Cao, Zhiyong Chen
    http://arxiv.org/abs/2108.06166v1

    • [cs.CV]Learning Transferable Parameters for Unsupervised Domain Adaptation
    Zhongyi Han, Haoliang Sun, Yilong Yin
    http://arxiv.org/abs/2108.06129v1

    • [cs.CV]MUSIQ: Multi-scale Image Quality Transformer
    Junjie Ke, Qifei Wang, Yilin Wang, Peyman Milanfar, Feng Yang
    http://arxiv.org/abs/2108.05997v1

    • [cs.CV]Modal-Adaptive Gated Recoding Network for RGB-D Salient Object Detection
    Feng Dong, Jinchao Zhu, Xian Fang, Qiu Yu
    http://arxiv.org/abs/2108.06281v1

    • [cs.CV]Non-imaging real-time detection and tracking of fast-moving objects
    Fengming Zhou, Xuelei Shi, Jie Chen, Tianhang Tang, Yiguang Liu
    http://arxiv.org/abs/2108.06009v1

    • [cs.CV]Point-Voxel Transformer: An Efficient Approach To 3D Deep Learning
    Cheng Zhang, Haocheng Wan, Shengqiang Liu, Xinyi Shen, Zizhao Wu
    http://arxiv.org/abs/2108.06076v1

    • [cs.CV]Robustness testing of AI systems: A case study for traffic sign recognition
    Christian Berghoff, Pavol Bielik, Matthias Neu, Petar Tsankov, Arndt von Twickel
    http://arxiv.org/abs/2108.06159v1

    • [cs.CV]SimCVD: Simple Contrastive Voxel-Wise Representation Distillation for Semi-Supervised Medical Image Segmentation
    Chenyu You, Yuan Zhou, Ruihan Zhao, Lawrence Staib, James S. Duncan
    http://arxiv.org/abs/2108.06227v1

    • [cs.CV]TVT: Transferable Vision Transformer for Unsupervised Domain Adaptation
    Jinyu Yang, Jingjing Liu, Ning Xu, Junzhou Huang
    http://arxiv.org/abs/2108.05988v1

    • [cs.CV]Towards Efficient Point Cloud Graph Neural Networks Through Architectural Simplification
    Shyam A. Tailor, René de Jong, Tiago Azevedo, Matthew Mattina, Partha Maji
    http://arxiv.org/abs/2108.06317v1

    • [cs.CY]Computing Research for the Climate Crisis
    Nadya Bliss, Elizabeth Bradley, Claire Monteleoni, Ilkay Altintas, Kyri Baker, Sujata Banerjee, Andrew A. Chien, Thomas Dietterich, Ian Foster, Carla P. Gomes, Chandra Krintz, Jessica Seddon, Regan Zane
    http://arxiv.org/abs/2108.05926v1

    • [cs.CY]The Development of Central Bank Digital Currency in China: An Analysis
    Geoffrey Goodell, Hazem Danny Al Nakib
    http://arxiv.org/abs/2108.05946v1

    • [cs.DC]A Distributed SGD Algorithm with Global Sketching for Deep Learning Training Acceleration
    LingFei Dai, Boyu Diao, Chao Li, Yongjun Xu
    http://arxiv.org/abs/2108.06004v1

    • [cs.DC]BESS Aided Reconfigurable Energy Supply using Deep Reinforcement Learning for 5G and Beyond
    Hao Yuan, Guoming Tang, Deke Guo, Kui Wu, Xun Shao, Keping Yu, Wei Wei
    http://arxiv.org/abs/2108.06091v1

    • [cs.DC]Digital Twin of a Cloud Data Centre: OpenStack Cluster Visualisation
    Sheridan Gomes, Adel N. Toosi, Barrett Ens
    http://arxiv.org/abs/2108.06123v1

    • [cs.DC]HPTMT Parallel Operators for High Performance Data Science & Data Engineering
    Vibhatha Abeykoon, Supun Kamburugamuve, Chathura Widanage, Niranda Perera, Ahmet Uyar, Thejaka Amila Kanewala, Gregor von Laszewski, Geoffrey Fox
    http://arxiv.org/abs/2108.06001v1

    • [cs.DC]Quantifying and Improving Performance of Distributed Deep Learning with Cloud Storage
    Nicholas Krichevsky, Matthew St Louis, Tian Guo
    http://arxiv.org/abs/2108.06322v1

    • [cs.DC]SAFE: Secure Aggregation with Failover and Encryption
    Thomas Sandholm, Sayandev Mukherjee, Bernardo A. Huberman
    http://arxiv.org/abs/2108.05475v2

    • [cs.DC]Scalable3-BO: Big Data meets HPC - A scalable asynchronous parallel high-dimensional Bayesian optimization framework on supercomputers
    Anh Tran
    http://arxiv.org/abs/2108.05969v1

    • [cs.IR]Conditional Sequential Slate Optimization
    Yipeng Zhang, Mingjian Lu, Saratchandra Indrakanti, Manojkumar Rangasamy Kannadasan, Abraham Bagherjeiran
    http://arxiv.org/abs/2108.05618v2

    • [cs.IR]GQE-PRF: Generative Query Expansion with Pseudo-Relevance Feedback
    Minghui Huang, Dong Wang, Shuang Liu, Meizhen Ding
    http://arxiv.org/abs/2108.06010v1

    • [cs.IR]On Single and Multiple Representations in Dense Passage Retrieval
    Craig Macdonald, Nicola Tonellotto, Iadh Ounis
    http://arxiv.org/abs/2108.06279v1

    • [cs.IR]PAIR: Leveraging Passage-Centric Similarity Relation for Improving Dense Passage Retrieval
    Ruiyang Ren, Shangwen Lv, Yingqi Qu, Jing Liu, Wayne Xin Zhao, QiaoQiao She, Hua Wu, Haifeng Wang, Ji-Rong Wen
    http://arxiv.org/abs/2108.06027v1

    • [cs.IR]TPRM: A Topic-based Personalized Ranking Model for Web Search
    Minghui Huang, Wei Peng, Dong Wang
    http://arxiv.org/abs/2108.06014v1

    • [cs.IR]Zero-shot Task Transfer for Invoice Extraction via Class-aware QA Ensemble
    Prithiviraj Damodaran, Prabhkaran Singh, Josemon Achankuju
    http://arxiv.org/abs/2108.06069v1

    • [cs.IT]A Parallel Distributed Algorithm for the Power SVD Method
    Jiaying Li, Sissi Xiaoxiao Wu, Qiang Li, Anna Scaglione
    http://arxiv.org/abs/2108.06108v1

    • [cs.IT]A VCSEL Array Transmission System with Novel Beam Activation Mechanisms
    Zhihong Zeng, Mohammad Dehghani Soltani, Majid Safari, Harald Haas
    http://arxiv.org/abs/2108.06086v1

    • [cs.IT]An efficient implementation of the Shamir secret sharing scheme
    Allyson Hineman, Mario Blaum
    http://arxiv.org/abs/2108.05982v1

    • [cs.IT]DeepIC: Coding for Interference Channels via Deep Learning
    Karl Chahine, Nanyang Ye, Hyeji Kim
    http://arxiv.org/abs/2108.06028v1

    • [cs.IT]Downlink Resource Allocation in Multiuser Cell-free MIMO Networks with User-centric Clustering
    Hussein A. Ammar, Raviraj Adve, Shahram Shahbazpanahi, Gary Boudreau, Kothapalli Venkata Srinivas
    http://arxiv.org/abs/2108.06316v1

    • [cs.IT]Hardware-Aware Beamspace Precoding for All-Digital mmWave Massive MU-MIMO
    Emre Gönültaş, Sueda Taner, Alexandra Gallyas-Sanhueza, Seyed Hadi Mirfarshbafan, Christoph Studer
    http://arxiv.org/abs/2108.06229v1

    • [cs.IT]IRS-aided Wireless Powered MEC Systems: TDMA or NOMA for Computation Offloading?
    Guangji chen, Qingqing Wu, Wen Chen, Derrick Wing Kwan Ng, Lajos Hanzo
    http://arxiv.org/abs/2108.06120v1

    • [cs.IT]Interference Mitigation using Optimized Angle Diversity Receiver in LiFi Cellular network
    Zhihong Zeng, Mohammad Dehghani Soltani, Cheng Chen, Majid Safari, Harald Haas
    http://arxiv.org/abs/2108.06025v1

    • [cs.IT]New Constructions of Golay Complementary Pair/Array with Large Zero Correlation Zone
    Zhi Gu, Zhengchun Zhou, Avik Ranjan Adhikary, Yanghe Feng, Pingzhi Fan
    http://arxiv.org/abs/2108.05657v2

    • [cs.IT]Sleep, Sense or Transmit: Energy-Age Tradeoff for Status Update with Two-Thresholds Optimal Policy
    Jie Gong, Jianhang Zhu, Xiang Chen, Xiao Ma
    http://arxiv.org/abs/2108.06007v1

    • [cs.LG]Adaptive Positive-Unlabelled Learning via Markov Diffusion
    Paola Stolfi, Andrea Mastropietro, Giuseppe Pasculli, Paolo Tieri, Davide Vergni
    http://arxiv.org/abs/2108.06158v1

    • [cs.LG]Alzheimer’s Disease Diagnosis via Deep Factorization Machine Models
    Raphael Ronge, Kwangsik Nho, Christian Wachinger, Sebastian Pölsterl
    http://arxiv.org/abs/2108.05916v1

    • [cs.LG]An Information-theoretic Perspective of Hierarchical Clustering
    Yicheng Pan, Feng Zheng, Bingchen Fan
    http://arxiv.org/abs/2108.06036v1

    • [cs.LG]An Operator Splitting View of Federated Learning
    Saber Malekmohammadi, Kiarash Shaloudegi, Zeou Hu, Yaoliang Yu
    http://arxiv.org/abs/2108.05974v1

    • [cs.LG]Beyond Fairness Metrics: Roadblocks and Challenges for Ethical AI in Practice
    Jiahao Chen, Victor Storchan, Eren Kurshan
    http://arxiv.org/abs/2108.06217v1

    • [cs.LG]Charts and atlases for nonlinear data-driven models of dynamics on manifolds
    Daniel Floryan, Michael D. Graham
    http://arxiv.org/abs/2108.05928v1

    • [cs.LG]Context Aware Object Geotagging
    Chao-Jung Liu, Matej Ulicny, Michael Manzke, Rozenn Dahyot
    http://arxiv.org/abs/2108.06302v1

    • [cs.LG]Continual Backprop: Stochastic Gradient Descent with Persistent Randomness
    Shibhansh Dohare, A. Rupam Mahmood, Richard S. Sutton
    http://arxiv.org/abs/2108.06325v1

    • [cs.LG]Curriculum Learning: A Regularization Method for Efficient and Stable Billion-Scale GPT Model Pre-Training
    Conglong Li, Minjia Zhang, Yuxiong He
    http://arxiv.org/abs/2108.06084v1

    • [cs.LG]Data Quality Toolkit: Automatic assessment of data quality and remediation for machine learning datasets
    Nitin Gupta, Hima Patel, Shazia Afzal, Naveen Panwar, Ruhi Sharma Mittal, Shanmukha Guttula, Abhinav Jain, Lokesh Nagalapatti, Sameep Mehta, Sandeep Hans, Pranay Lohia, Aniya Aggarwal, Diptikalyan Saha
    http://arxiv.org/abs/2108.05935v1

    • [cs.LG]Datasets for Studying Generalization from Easy to Hard Examples
    Avi Schwarzschild, Eitan Borgnia, Arjun Gupta, Arpit Bansal, Zeyad Emam, Furong Huang, Micah Goldblum, Tom Goldstein
    http://arxiv.org/abs/2108.06011v1

    • [cs.LG]FedPara: Low-rank Hadamard Product Parameterization for Efficient Federated Learning
    Nam Hyeon-Woo, Moon Ye-Bin, Tae-Hyun Oh
    http://arxiv.org/abs/2108.06098v1

    • [cs.LG]Follow the Prophet: Accurate Online Conversion Rate Prediction in the Face of Delayed Feedback
    Haoming Li, Feiyang Pan, Xiang Ao, Zhao Yang, Min Lu, Junwei Pan, Dapeng Liu, Lei Xiao, Qing He
    http://arxiv.org/abs/2108.06167v1

    • [cs.LG]MIND - Mainstream and Independent News Documents Corpus
    Danielle Caled, Paula Carvalho, Mário J. Silva
    http://arxiv.org/abs/2108.06249v1

    • [cs.LG]Online Fairness-Aware Learning with Imbalanced Data Streams
    Vasileios Iosifidis, Wenbin Zhang, Eirini Ntoutsi
    http://arxiv.org/abs/2108.06231v1

    • [cs.LG]Q-Mixing Network for Multi-Agent Pathfinding in Partially Observable Grid Environments
    Vasilii Davydov, Alexey Skrynnik, Konstantin Yakovlev, Aleksandr I. Panov
    http://arxiv.org/abs/2108.06148v1

    • [cs.LG]Random Subspace Mixture Models for Interpretable Anomaly Detection
    Cetin Savkli, Catherine Schwartz
    http://arxiv.org/abs/2108.06283v1

    • [cs.LG]Room Classification on Floor Plan Graphs using Graph Neural Networks
    Abhishek Paudel, Roshan Dhakal, Sakshat Bhattarai
    http://arxiv.org/abs/2108.05947v1

    • [cs.LG]ST-PCNN: Spatio-Temporal Physics-Coupled Neural Networks for Dynamics Forecasting
    Yu Huang, James Li, Min Shi, Hanqi Zhuang, Xingquan Zhu, Laurent Chérubin, James VanZwieten, Yufei Tang
    http://arxiv.org/abs/2108.05940v1

    • [cs.LG]Spatio-Temporal Split Learning
    Joongheon Kim, Seunghoon Park, Soyi Jung, Seehwan Yoo
    http://arxiv.org/abs/2108.06309v1

    • [cs.LG]TDM: Trustworthy Decision-Making via Interpretability Enhancement
    Daoming Lyu, Fangkai Yang, Hugh Kwon, Wen Dong, Levent Yilmaz, Bo Liu
    http://arxiv.org/abs/2108.06080v1

    • [cs.LG]Understanding Structural Vulnerability in Graph Convolutional Networks
    Liang Chen, Jintang Li, Qibiao Peng, Yang Liu, Zibin Zheng, Carl Yang
    http://arxiv.org/abs/2108.06280v1

    • [cs.LG]Using Machine Learning to Predict Engineering Technology Students’ Success with Computer Aided Design
    Jasmine Singh, Viranga Perera, Alejandra J. Magana, Brittany Newell, Jin Wei-Kocsis, Ying Ying Seah, Greg J. Strimel, Charles Xie
    http://arxiv.org/abs/2108.05955v1

    • [cs.NE]Neuromorphic Processing: A Unifying Tutorial
    Hamid Soleimani, Emmanuel. M. Drakakis
    http://arxiv.org/abs/2108.06318v1

    • [cs.RO]Co-GAIL: Learning Diverse Strategies for Human-Robot Collaboration
    Chen Wang, Claudia Pérez-D’Arpino, Danfei Xu, Li Fei-Fei, C. Karen Liu, Silvio Savarese
    http://arxiv.org/abs/2108.06038v1

    • [cs.RO]DRQN-based 3D Obstacle Avoidance with a Limited Field of View
    Yu’an Chen, Guangda Chen, Lifan Pan, Jun Ma, Yu Zhang, Yanyong Zhang, Jianmin Ji
    http://arxiv.org/abs/2108.05962v1

    • [cs.RO]Ergonomically Intelligent Physical Human-Robot Interaction: Postural Estimation, Assessment, and Optimization
    Amir Yazdani, Roya Sabbagh Novin, Andrew Merryweather, Tucker Hermans
    http://arxiv.org/abs/2108.05971v1

    • [cs.RO]Hierarchical Image-Goal Navigation in Real Crowded Scenarios
    Qiaoyun Wu, Jun Wang, Jing Liang, Xiaoxi Gong, Dinesh Manocha
    http://arxiv.org/abs/2108.06105v1

    • [cs.RO]Package Delivery Using Autonomous Drones in Skyways
    Woojin Lee, Balsam Alkouz, Babar Shahzaad, Athman Bouguettaya
    http://arxiv.org/abs/2108.06056v1

    • [cs.RO]Piecewise Linear De-skewing for LiDAR Inertial Odometry
    John Henawy, Zhengguo Li, Wei Yun Yau, Gerald Seet, Kong Wah Wan
    http://arxiv.org/abs/2108.06078v1

    • [cs.RO]Reinforcement Learning for Robot Navigation with Adaptive ExecutionDuration (AED) in a Semi-Markov Model
    Yu’an Chen, Ruosong Ye, Ziyang Tao, Hongjian Liu, Guangda Chen, Jie Peng, Jun Ma, Yu Zhang, Yanyong Zhang, Jianmin Ji
    http://arxiv.org/abs/2108.06161v1

    • [cs.RO]Safe Learning in Robotics: From Learning-Based Control to Safe Reinforcement Learning
    Lukas Brunke, Melissa Greeff, Adam W. Hall, Zhaocong Yuan, Siqi Zhou, Jacopo Panerati, Angela P. Schoellig
    http://arxiv.org/abs/2108.06266v1

    • [cs.SE]On the Relation of Trust and Explainability: Why to Engineer for Trustworthiness
    Lena Kästner, Markus Langer, Veronika Lazar, Astrid Schomäcker, Timo Speith, Sarah Sterz
    http://arxiv.org/abs/2108.05379v2

    • [cs.SI]Pre-training of Temporal Convolutional Neural Networks for Popularity Prediction
    Qi Cao, Huawei Shen, Yuanhao Liu, Jinhua Gao, Xueqi Cheng
    http://arxiv.org/abs/2108.06220v1

    • [econ.EM]A Unified Frequency Domain Cross-Validatory Approach to HAC Standard Error Estimation
    Zhihao Xu, Clifford M. Hurvich
    http://arxiv.org/abs/2108.06093v1

    • [eess.AS]Enhancing audio quality for expressive Neural Text-to-Speech
    Abdelhamid Ezzerg, Adam Gabrys, Bartosz Putrycz, Daniel Korzekwa, Daniel Saez-Trigueros, David McHardy, Kamil Pokora, Jakub Lachowicz, Jaime Lorenzo-Trueba, Viacheslav Klimkov
    http://arxiv.org/abs/2108.06270v1

    • [math.PR]Ergodic properties of some Markov chains models in random environments
    Lionel Truquet
    http://arxiv.org/abs/2108.06211v1

    • [math.ST]Generalized Bayes Estimators with Closed forms for the Normal Mean and Covariance Matrices
    Ryota Yuasa, Tatsuya Kubokawa
    http://arxiv.org/abs/2108.06041v1

    • [math.ST]On stochastic expansions of empirical distribution function of residuals in autoregression schemes
    Michael Boldin
    http://arxiv.org/abs/2108.05903v1

    • [math.ST]Stochastic orders and measures of skewness and dispersion based on expectiles
    Andreas Eberl, Bernhard Klar
    http://arxiv.org/abs/2108.06138v1

    • [physics.chem-ph]Efficient force field and energy emulation through partition of permutationally equivalent atoms
    Hao Li, Musen Zhou, Jessalyn Sebastian, Jianzhong Wu, Mengyang Gu
    http://arxiv.org/abs/2108.06072v1

    • [q-bio.NC]Bridging the gap between emotion and joint action
    M. M. N. Bieńkiewicz, A. Smykovskyi, T. Olugbade, S. Janaqi, A. Camurri, N. Bianchi-Berthouze, M. Björkman, B. G. Bardy
    http://arxiv.org/abs/2108.06264v1

    • [q-bio.QM]Graph2MDA: a multi-modal variational graph embedding model for predicting microbe-drug associations
    Lei Deng, Yibiao Huang, Xuejun Liu, Hui Liu
    http://arxiv.org/abs/2108.06338v1

    • [stat.AP]The application of sub-seasonal to seasonal (S2S) predictions for hydropower forecasting
    Robert M. Graham, Jethro Browell, Douglas Bertram, Christopher J. White
    http://arxiv.org/abs/2108.06269v1

    • [stat.ME]Change Point Analysis of Multivariate Data via Multivariate Rank-based Distribution-free Nonparametric Testing Using Measure Transportation
    Amanda Ng
    http://arxiv.org/abs/2108.05979v1

    • [stat.ME]Fréchet single index models for object response regression
    Aritra Ghosal, Wendy Meiring, Alexander Petersen
    http://arxiv.org/abs/2108.06058v1

    • [stat.ME]Non-parametric estimation of cumulative (residual) extropy with censored observations
    Sudheesh K. K., Sreedevi E. P
    http://arxiv.org/abs/2108.06324v1

    • [stat.ME]Statistical Learning using Sparse Deep Neural Networks in Empirical Risk Minimization
    Shujie Ma, Mingming Liu
    http://arxiv.org/abs/2108.05990v1

    • [stat.ML]Data-driven advice for interpreting local and global model predictions in bioinformatics problems
    Markus Loecher, Qi Wu
    http://arxiv.org/abs/2108.06201v1

    • [stat.ML]Multi-Stage Graph Peeling Algorithm for Probabilistic Core Decomposition
    Yang Guo, Xuekui Zhang, Fatemeh Esfahani, Venkatesh Srinivasan, Alex Thomo, Li Xing
    http://arxiv.org/abs/2108.06094v1