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