cond-mat.mtrl-sci - 材料科学

    cs.AI - 人工智能 cs.CL - 计算与语言 cs.CR - 加密与安全 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DC - 分布式、并行与集群计算 cs.GT - 计算机科学与博弈论 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.MM - 多媒体 cs.NE - 神经与进化计算 cs.NI - 网络和互联网体系结构 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.IV - 图像与视频处理 math.NA - 数值分析 math.OC - 优化与控制 math.ST - 统计理论 nlin.AO - 适应和自组织系统 physics.soc-ph - 物理学与社会 quant-ph - 量子物理 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [cond-mat.mtrl-sci]Materials Fingerprinting Classification
    • [cs.AI]A Subjective Model of Human Decision Making Based on Quantum Decision Theory
    • [cs.AI]Hierarchical Width-Based Planning and Learning
    • [cs.AI]On the Verification and Validation of AI Navigation Algorithms
    • [cs.AI]Quality meets Diversity: A Model-Agnostic Framework for Computerized Adaptive Testing
    • [cs.CL]”Killing Me” Is Not a Spoiler: Spoiler Detection Model using Graph Neural Networks with Dependency Relation-Aware Attention Mechanism
    • [cs.CL]Coarse-grained decomposition and fine-grained interaction for multi-hop question answering
    • [cs.CL]Empirical Evaluation of Supervision Signals for Style Transfer Models
    • [cs.CL]Hierarchical Multitask Learning with Dependency Parsing for Japanese Semantic Role Labeling Improves Performance of Argument Identification
    • [cs.CL]Hostility Detection and Covid-19 Fake News Detection in Social Media
    • [cs.CL]Interpretable Multi-Head Self-Attention model for Sarcasm Detection in social media
    • [cs.CL]KDLSQ-BERT: A Quantized Bert Combining Knowledge Distillation with Learned Step Size Quantization
    • [cs.CL]Self-Training Pre-Trained Language Models for Zero- and Few-Shot Multi-Dialectal Arabic Sequence Labeling
    • [cs.CL]The Impact of Post-editing and Machine Translation on Creativity and Reading Experience
    • [cs.CL]Unstructured Knowledge Access in Task-oriented Dialog Modeling using Language Inference, Knowledge Retrieval and Knowledge-Integrative Response Generation
    • [cs.CL]Walk in Wild: An Ensemble Approach for Hostility Detection in Hindi Posts
    • [cs.CR]Horizon: A Gas-Efficient, Trustless Bridge for
    6ced
    Cross-Chain Transactions
    • [cs.CR]Towards interpreting ML-based automated malware detection models: a survey
    • [cs.CV]APEX-Net: Automatic Plot Extractor Network
    • [cs.CV]Accurate and Robust Scale Recovery for Monocular Visual Odometry Based on Plane Geometry
    • [cs.CV]Black-box Adversarial Attacks in Autonomous Vehicle Technology
    • [cs.CV]Blind Image Deblurring based on Kernel Mixture
    • [cs.CV]Convolutional Neural Network with Pruning Method for Handwritten Digit Recognition
    • [cs.CV]Data Impressions: Mining Deep Models to Extract Samples for Data-free Applications
    • [cs.CV]Deep Dual-resolution Networks for Real-time and Accurate Semantic Segmentation of Road Scenes
    • [cs.CV]Dynamic Normalization
    • [cs.CV]How Shift Equivariance Impacts Metric Learning for Instance Segmentation
    • [cs.CV]Image Enhancement using Fuzzy Intensity Measure and Adaptive Clipping Histogram Equalization
    • [cs.CV]Motion-Based Handwriting Recognition
    • [cs.CV]Motion-Based Handwriting Recognition and Word Reconstruction
    • [cs.CV]Multi-point dimensionality reduction to improve projection layout reliability
    • [cs.CV]Non-uniform Motion Deblurring with Blurry Component Divided Guidance
    • [cs.CV]PaddleSeg: A High-Efficient Development Toolkit for Image Segmentation
    • [cs.CV]Reasoning over Vision and Language: Exploring the Benefits of Supplemental Knowledge
    • [cs.CV]Recent Advances in Video Question Answering: A Review of Datasets and Methods
    • [cs.CV]Supervised Transfer Learning at Scale for Medical Imaging
    • [cs.CV]Temporal-Relational CrossTransformers for Few-Shot Action Recognition
    • [cs.CV]Towards a Computed-Aided Diagnosis System in Colonoscopy: Automatic Polyp Segmentation Using Convolution Neural Networks
    • [cs.CV]Video Summarization Using Deep Neural Networks: A Survey
    • [cs.CV]Vision-based Vehicle Speed Estimation for ITS: A Survey
    • [cs.CY]Data Science for Engineers: A Teaching Ecosystem
    • [cs.CY]Descriptive AI Ethics: Collecting and Understanding the Public Opinion
    • [cs.CY]Needmining: Designing Digital Support to Elicit Needs from Social Media
    • [cs.CY]Nowcasting Gentrification Using Airbnb Data
    • [cs.CY]Reviving Purpose Limitation and Data Minimisation in Personalisation, Profiling and Decision-Making Systems
    • [cs.CY]The Challenge of Value Alignment: from Fairer Algorithms to AI Safety
    • [cs.DC]CPU Scheduling in Data Centers Using Asynchronous Finite-Time Distributed Coordination Mechanisms
    • [cs.DC]Dynamic DNN Decomposition for Lossless Synergistic Inference
    • [cs.DC]Preserving Privacy in Personalized Models for Distributed Mobile Services
    • [cs.GT]Algorithmic Monoculture and Social Welfare
    • [cs.HC]Player-AI Interaction: What Neural Network Games Reveal About AI as Play
    • [cs.HC]Teaming up with information agents
    • [cs.IR]Annotation of epidemiological information in animal disease-related news articles: guidelines
    • [cs.IR]Ensemble Learning Based Classification Algorithm Recommendation
    • [cs.IR]Operationalizing Framing to Support MultiperspectiveRecommendations of Opinion Pieces
    • [cs.IT]A Risk-Sensitive Task Offloading Strategy for Edge Computing in Industrial Internet of Things
    • [cs.IT]Decoding of Interleaved Linearized Reed-Solomon Codes with Applications to Network Coding
    • [cs.IT]Improved Rank-Modulation Codes for DNA Storage with Shotgun Sequencing
    • [cs.IT]Is the Chen-Sbert Divergence a Metric?
    • [cs.IT]Let’s Share VMs: Optimal Placement and Pricing across Base Stations in MEC Systems
    • [cs.LG]A General Framework for Hypercomplex-valued Extreme Learning Machines
    • [cs.LG]A Novel Prediction Approach for Exploring PM2.5 Spatiotemporal Propagation Based on Convolutional Recursive Neural Networks
    • [cs.LG]Affordance-based Reinforcement Learning for Urban Driving
    • [cs.LG]Artificial Intelligence for IT Operations (AIOPS) Workshop White Paper
    • [cs.LG]Auto-weighted Robust Federated Learning with Corrupted Data Sources
    • [cs.LG]Counterfactual Generative Networks
    • [cs.LG]Deciding What to Learn: A Rate-Distortion Approach
    • [cs.LG]DeepWaste: Applying Deep Learning to Waste Classification for a Sustainable Planet
    • [cs.LG]EAGER: Embedding-Assisted Entity Resolution for Knowledge Graphs
    • [cs.LG]Efficient Semi-Implicit Variational Inference
    • [cs.LG]Harmonization and the Worst Scanner Syndrome
    • [cs.LG]Heating up decision boundaries: isocapacitory saturation, adversarial scenarios and generalization bounds
    • [cs.LG]Hybrid Quantum-Classical Graph Convolutional Network
    • [cs.LG]Inductive Representation Learning in Temporal Networks via Causal Anonymous Walks
    • [cs.LG]LIME: Learning Inductive Bias for Primitives of Mathematical Reasoning
    • [cs.LG]Learning Invariant Representation for Continual Learning
    • [cs.LG]Learning to Sample from Censored Markov Random Fields
    • [cs.LG]Local Search Algorithms for Rank-Constrained Convex Optimization
    • [cs.LG]Neural Attention Distillation: Erasing Backdoor Triggers from Deep Neural Networks
    • [cs.LG]Predictive Optimization with Zero-Shot Domain Adaptation
    • [cs.LG]Probabilistic Inference for Learning from Untrusted Sources
    • [cs.LG]Randomized Ensembled Double Q-Learning: Learning Fast Without a Model
    • [cs.LG]Responsible AI Challenges in End-to-end Machine Learning
    • [cs.LG]Robusta: Robust AutoML for Feature Selection via Reinforcement Learning
    • [cs.LG]The Geometry of Deep Generative Image Models and its Applications
    • [cs.MM]The Multimodal Sentiment Analysis in Car Reviews (MuSe-CaR) Dataset: Collection, Insights and Improvements
    • [cs.NE]A New Artificial Neuron Proposal with Trainable Simultaneous Local and Global Activation Function
    • [cs.NI]Cryptoasset Competition and Market Concentration in the Presence of Network Effects
    • [cs.NI]EC-SAGINs: Edge Computing-enhanced Space-Air-Ground Integrated Networks for Internet of Vehicles
    • [cs.RO]A Particle Filtering Framework for Integrity Risk of GNSS-Camera Sensor Fusion
    • [cs.RO]Constraint Handling in Continuous-Time DDP-Based Model Predictive Control
    • [cs.RO]Continual Learning of Knowledge Graph Embeddings
    • [cs.RO]Deep Reinforcement Learning for Haptic Shared Control in Unknown Tasks
    • [cs.RO]Differentiable Nonparametric Belief Propagation
    • [cs.RO]Instance-Aware Predictive Navigation in Multi-Agent Environments
    • [cs.RO]Interaction-Aware Behavior Planning for Autonomous Vehicles Validated with Real Traffic Data
    • [cs.RO]Internet of Robotic Things: Current Technologies, Applications, Challenges and Future Directions
    • [cs.RO]Local Navigation and Docking of an Autonomous Robot Mower using Reinforcement Learning and Computer Vision
    • [cs.RO]Scalable Learning of Safety Guarantees for Autonomous Systems using Hamilton-Jacobi Reachability
    • [cs.RO]SimGAN: Hybrid Simulator Identification for Domain Adaptation via Adversarial Reinforcement Learning
    • [cs.SE]Mining Knowledge Graphs From Incident Reports
    • [cs.SI]A Dataset of State-Censored Tweets
    • [cs.SI]A Random Algorithm for Profit Maximization with Multiple Adoptions in Online Social Networks
    • [cs.SI]Node and Edge Eigenvector Centrality for Hypergraphs
    • [cs.SI]Russian Troll Account Classification with Twitter and Facebook Data
    • [econ.EM]Causal Gradient Boosting: Boosted Instrumental Variable Regression
    • [eess.IV]Hyperspectral Image Classification — Traditional to Deep Models: A Survey for Future Prospects
    • [eess.IV]Neural Network-derived perfusion maps: a Model-free approach to computed tomography perfusion in patients with acute ischemic stroke
    • [eess.IV]Task-driven Self-supervised Bi-channel Networks Learning for Diagnosis of Breast Cancers with Mammography
    • [math.NA]STENCIL-NET: Data-driven solution-adaptive discretization of partial differential equations
    • [math.OC]Stochastic Learning Approach to Binary Optimization for Optimal Design of Experiments
    • [math.ST]Random and quasi-random designs in group testing
    • [math.ST]Row-column factorial designs with multiple levels
    • [nlin.AO]Unveiling the role of plasticity rules in reservoir computing
    • [physics.soc-ph]Flow stability for dynamic community detection
    • [quant-ph]On the statistical complexity of quantum circuits
    • [stat.ME]A Bayesian perspective on sampling of alternatives
    • [stat.ME]A practical test for a planted community in heterogeneous networks
    • [stat.ME]An Adaptive Algorithm based on High-Dimensional Function Approximation to obtain Optimal Designs
    • [stat.ME]Estimation of future discretionary benefits in traditional life insurance
    • [stat.ME]Fully Bayesian Estimation under Dependent and Informative Cluster Sampling
    • [stat.ME]Matrix-free Penalized Spline Smoothing with Multiple Covariates
    • [stat.ME]Private Tabular Survey Data Products through Synthetic Microdata Generation
    • [stat.ME]Structured Bayesian variable selection for multiple related response variables and high-dimensional predictors
    • [stat.ML]Physics-aware, probabilistic model order reduction with guaranteed stability

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

    • [cond-mat.mtrl-sci]Materials Fingerprinting Classification
    Adam Spannaus, Kody J. H. Law, Piotr Luszczek, Farzana Nasrin, Cassie Putman Micucci, Peter K. Liaw, Louis J. Santodonato, David J. Keffer, Vasileios Maroulas
    http://arxiv.org/abs/2101.05808v1

    • [cs.AI]A Subjective Model of Human Decision Making Based on Quantum Decision Theory
    Chenda Zhang, Hedvig Kjellström
    http://arxiv.org/abs/2101.05851v1

    • [cs.AI]Hierarchical Width-Based Planning and Learning
    Miquel Junyent, Vicenç Gómez, Anders Jonsson
    http://arxiv.org/abs/2101.06177v1

    • [cs.AI]On the Verification and Validation of AI Navigation Algorithms
    Ivan Porres, Sepinoud Azimi, Sébastien Lafond, Johan Lilius, Johanna Salokannel, Mirva Salokorpi
    http://arxiv.org/abs/2101.06091v1

    • [cs.AI]Quality meets Diversity: A Model-Agnostic Framework for Computerized Adaptive Testing
    Haoyang Bi, Haiping Ma, Zhenya Huang, Yu Yin, Qi Liu, Enhong Chen, Yu Su, Shijin Wang
    http://arxiv.org/abs/2101.05986v1

    • [cs.CL]“Killing Me” Is Not a Spoiler: Spoiler Detection Model using Graph Neural Networks with Dependency Relation-Aware Attention Mechanism
    Buru Chang, Inggeol Lee, Hyunjae Kim, Jaewoo Kang
    http://arxiv.org/abs/2101.05972v1

    • [cs.CL]Coarse-grained decomposition and fine-grained interaction for multi-hop question answering
    Xing Cao, Yun Liu
    http://arxiv.org/abs/2101.05988v1

    • [cs.CL]Empirical Evaluation of Supervision Signals for Style Transfer Models
    Yevgeniy Puzikov, Simoes Stanley, Iryna Gurevych, Immanuel Schweizer
    http://arxiv.org/abs/2101.06172v1

    • [cs.CL]Hierarchical Multitask Learning with Dependency Parsing for Japanese Semantic Role Labeling Improves Performance of Argument Identification
    Tomohiro Nakamura, Tomoya Miyashita, Soh Ohara
    http://arxiv.org/abs/2101.06071v1

    • [cs.CL]Hostility Detection and Covid-19 Fake News Detection in Social Media
    Ayush Gupta, Rohan Sukumaran, Kevin John, Sundeep Teki
    http://arxiv.org/abs/2101.05953v1

    • [cs.CL]Interpretable Multi-Head Self-Attention model for Sarcasm Detection in social media
    Ramya Akula, Ivan Garibay
    http://arxiv.org/abs/2101.05875v1

    • [cs.CL]KDLSQ-BERT: A Quantized Bert Combining Knowledge Distillation with Learned Step Size Quantization
    Jing Jin, Cai Liang, Tiancheng Wu, Liqin Zou, Zhiliang Gan
    http://arxiv.org/abs/2101.05938v1

    • [cs.CL]Self-Training Pre-Trained Language Models for Zero- and Few-Shot Multi-Dialectal Arabic Sequence Labeling
    Muhammad Khalifa, Muhammad Abdul-Mageed, Khaled Shaalan
    http://arxiv.org/abs/2101.04758v2

    • [cs.CL]The Impact of Post-editing and Machine Translation on Creativity and Reading Experience
    Ana Guerberof Arenas, Antonio Toral
    http://arxiv.org/abs/2101.06125v1

    • [cs.CL]Unstructured Knowledge Access in Task-oriented Dialog Modeling using Language Inference, Knowledge Retrieval and Knowledge-Integrative Response Generation
    Mudit Chaudhary, Borislav Dzodzo, Sida Huang, Chun Hei Lo, Mingzhi Lyu, Lun Yiu Nie, Jinbo Xing, Tianhua Zhang, Xiaoying Zhang, Jingyan Zhou, Hong Cheng, Wai Lam, Helen Meng
    http://arxiv.org/abs/2101.06066v1

    • [cs.CL]Walk in Wild: An Ensemble Approach for Hostility Detection in Hindi Posts
    Chander Shekhar, Bhavya Bagla, Kaushal Kumar Maurya, Maunendra Sankar Desarkar
    http://arxiv.org/abs/2101.06004v1

    • [cs.CR]Horizon: A Gas-Efficient, Trustless Bridge for
    6ced
    Cross-Chain Transactions
    Rongjian Lan, Ganesha Upadhyaya, Stephen Tse, Mahdi Zamani
    http://arxiv.org/abs/2101.06000v1

    • [cs.CR]Towards interpreting ML-based automated malware detection models: a survey
    Yuzhou Lin, Xiaolin Chang
    http://arxiv.org/abs/2101.06232v1

    • [cs.CV]APEX-Net: Automatic Plot Extractor Network
    Aalok Gangopadhyay, Prajwal Singh, Shanmuganathan Raman
    http://arxiv.org/abs/2101.06217v1

    • [cs.CV]Accurate and Robust Scale Recovery for Monocular Visual Odometry Based on Plane Geometry
    Rui Tian, Yunzhou Zhang, Delong Zhu, Shiwen Liang, Sonya Coleman, Dermot Kerr
    http://arxiv.org/abs/2101.05995v1

    • [cs.CV]Black-box Adversarial Attacks in Autonomous Vehicle Technology
    K Naveen Kumar, C Vishnu, Reshmi Mitra, C Krishna Mohan
    http://arxiv.org/abs/2101.06092v1

    • [cs.CV]Blind Image Deblurring based on Kernel Mixture
    Sajjad Amrollahi Biyouki, Hoon Hwangbo
    http://arxiv.org/abs/2101.06241v1

    • [cs.CV]Convolutional Neural Network with Pruning Method for Handwritten Digit Recognition
    Mengyu Chen
    http://arxiv.org/abs/2101.05996v1

    • [cs.CV]Data Impressions: Mining Deep Models to Extract Samples for Data-free Applications
    Gaurav Kumar Nayak, Konda Reddy Mopuri, Saksham Jain, Anirban Chakraborty
    http://arxiv.org/abs/2101.06069v1

    • [cs.CV]Deep Dual-resolution Networks for Real-time and Accurate Semantic Segmentation of Road Scenes
    Yuanduo Hong, Huihui Pan, Weichao Sun, Senior Member, IEEE, Yisong Jia
    http://arxiv.org/abs/2101.06085v1

    • [cs.CV]Dynamic Normalization
    Chuan Liu, Yi Gao, Jiancheng Lv
    http://arxiv.org/abs/2101.06073v1

    • [cs.CV]How Shift Equivariance Impacts Metric Learning for Instance Segmentation
    Josef Lorenz Rumberger, Xiaoyan Yu, Peter Hirsch, Melanie Dohmen, Vanessa Emanuela Guarino, Ashkan Mokarian, Lisa Mais, Jan Funke, Dagmar Kainmueller
    http://arxiv.org/abs/2101.05846v1

    • [cs.CV]Image Enhancement using Fuzzy Intensity Measure and Adaptive Clipping Histogram Equalization
    Xiangyuan Zhu, Xiaoming Xiao, Tardi Tjahjadi, Zhihu Wu, Jin Tang
    http://arxiv.org/abs/2101.05922v1

    • [cs.CV]Motion-Based Handwriting Recognition
    Junshen Kevin Chen, Wanze Xie, Yutong He
    http://arxiv.org/abs/2101.06022v1

    • [cs.CV]Motion-Based Handwriting Recognition and Word Reconstruction
    Junshen Kevin Chen, Wanze Xie, Yutong He
    http://arxiv.org/abs/2101.06025v1

    • [cs.CV]Multi-point dimensionality reduction to improve projection layout reliability
    Farshad Barahimi, Fernando Paulovich
    http://arxiv.org/abs/2101.06224v1

    • [cs.CV]Non-uniform Motion Deblurring with Blurry Component Divided Guidance
    Pei Wang, Wei Sun, Qingsen Yan, Axi Niu, Rui Li, Yu Zhu, Jinqiu Sun, Yanning Zhang
    http://arxiv.org/abs/2101.06021v1

    • [cs.CV]PaddleSeg: A High-Efficient Development Toolkit for Image Segmentation
    Yi Liu, Lutao Chu, Guowei Chen, Zewu Wu, Zeyu Chen, Baohua Lai, Yuying Hao
    http://arxiv.org/abs/2101.06175v1

    • [cs.CV]Reasoning over Vision and Language: Exploring the Benefits of Supplemental Knowledge
    Violetta Shevchenko, Damien Teney, Anthony Dick, Anton van den Hengel
    http://arxiv.org/abs/2101.06013v1

    • [cs.CV]Recent Advances in Video Question Answering: A Review of Datasets and Methods
    Devshree Patel, Ratnam Parikh, Yesha Shastri
    http://arxiv.org/abs/2101.05954v1

    • [cs.CV]Supervised Transfer Learning at Scale for Medical Imaging
    Basil Mustafa, Aaron Loh, Jan Freyberg, Patricia MacWilliams, Alan Karthikesalingam, Neil Houlsby, Vivek Natarajan
    http://arxiv.org/abs/2101.05913v1

    • [cs.CV]Temporal-Relational CrossTransformers for Few-Shot Action Recognition
    Toby Perrett, Alessandro Masullo, Tilo Burghardt, Majid Mirmehdi, Dima Damen
    http://arxiv.org/abs/2101.06184v1

    • [cs.CV]Towards a Computed-Aided Diagnosis System in Colonoscopy: Automatic Polyp Segmentation Using Convolution Neural Networks
    Patrick Brandao, Odysseas Zisimopoulos, Evangelos Mazomenos, Gastone Ciuti, Jorge Bernal, Marco Visentini-Scarzanella, Arianna Menciassi, Paolo Dario, Anastasios Koulaouzidis, Alberto Arezzo, David J Hawkes, Danail Stoyanov
    http://arxiv.org/abs/2101.06040v1

    • [cs.CV]Video Summarization Using Deep Neural Networks: A Survey
    Evlampios Apostolidis, Eleni Adamantidou, Alexandros I. Metsai, Vasileios Mezaris, Ioannis Patras
    http://arxiv.org/abs/2101.06072v1

    • [cs.CV]Vision-based Vehicle Speed Estimation for ITS: A Survey
    David Fernández Llorca, Antonio Hernández Martínez, Iván García Daza
    http://arxiv.org/abs/2101.06159v1

    • [cs.CY]Data Science for Engineers: A Teaching Ecosystem
    Felipe Tobar, Felipe Bravo-Marquez, Jocelyn Dunstan, Joaquin Fontbona, Alejandro Maass, Daniel Remenik, Jorge F. Silva
    http://arxiv.org/abs/2101.06119v1

    • [cs.CY]Descriptive AI Ethics: Collecting and Understanding the Public Opinion
    Gabriel Lima, Meeyoung Cha
    http://arxiv.org/abs/2101.05957v1

    • [cs.CY]Needmining: Designing Digital Support to Elicit Needs from Social Media
    Niklas Kühl, Gerhard Satzger
    http://arxiv.org/abs/2101.06146v1

    • [cs.CY]Nowcasting Gentrification Using Airbnb Data
    Shomik Jain, Davide Proserpio, Giovanni Quattrone, Daniele Quercia
    http://arxiv.org/abs/2101.05924v1

    • [cs.CY]Reviving Purpose Limitation and Data Minimisation in Personalisation, Profiling and Decision-Making Systems
    Michèle Finck, Asia Biega
    http://arxiv.org/abs/2101.06203v1

    • [cs.CY]The Challenge of Value Alignment: from Fairer Algorithms to AI Safety
    Iason Gabriel, Vafa Ghazavi
    http://arxiv.org/abs/2101.06060v1

    • [cs.DC]CPU Scheduling in Data Centers Using Asynchronous Finite-Time Distributed Coordination Mechanisms
    Andreas Grammenos, Themistoklis Charalambous, Evangelia Kalyvianaki
    http://arxiv.org/abs/2101.06139v1

    • [cs.DC]Dynamic DNN Decomposition for Lossless Synergistic Inference
    Beibei Zhang, Tian Xiang, Hongxuan Zhang, Te Li, Shiqiang Zhu, Jianjun Gu
    http://arxiv.org/abs/2101.05952v1

    • [cs.DC]Preserving Privacy in Personalized Models for Distributed Mobile Services
    Akanksha Atrey, Prashant Shenoy, David Jensen
    http://arxiv.org/abs/2101.05855v1

    • [cs.GT]Algorithmic Monoculture and Social Welfare
    Jon Kleinberg, Manish Raghavan
    http://arxiv.org/abs/2101.05853v1

    • [cs.HC]Player-AI Interaction: What Neural Network Games Reveal About AI as Play
    Jichen Zhu, Jennifer Villareale, Nithesh Javvaji, Sebastian Risi, Mathias Löwe, Rush Weigelt, Casper Harteveld
    http://arxiv.org/abs/2101.06220v1

    • [cs.HC]Teaming up with information agents
    Jurriaan van Diggelen, Wiard Jorritsma, Bob van der Vecht
    http://arxiv.org/abs/2101.06133v1

    • [cs.IR]Annotation of epidemiological information in animal disease-related news articles: guidelines
    Sarah Valentin, Elena Arsevska, Aline Vilain, Valérie De Waele, Renaud Lancelot, Mathieu Roche
    http://arxiv.org/abs/2101.06150v1

    • [cs.IR]Ensemble Learning Based Classification Algorithm Recommendation
    Guangtao Wang, Qinbao Song, Xiaoyan Zhu
    http://arxiv.org/abs/2101.05993v1

    • [cs.IR]Operationalizing Framing to Support MultiperspectiveRecommendations of Opinion Pieces
    Mats Mulder, Oana Inel, Jasper Oosterman, Nava Tintarev
    http://arxiv.org/abs/2101.06141v1

    • [cs.IT]A Risk-Sensitive Task Offloading Strategy for Edge Computing in Industrial Internet of Things
    Xiaoyu Hao, Ruohai Zhao, Tao Yang, Yulin Hu, Bo Hu, Yuhe Qiu
    http://arxiv.org/abs/2101.05946v1

    • [cs.IT]Decoding of Interleaved Linearized Reed-Solomon Codes with Applications to Network Coding
    Hannes Bartz, Sven Puchinger
    http://arxiv.org/abs/2101.05604v2

    • [cs.IT]Improved Rank-Modulation Codes for DNA Storage with Shotgun Sequencing
    Niv Beeri, Moshe Schwartz
    http://arxiv.org/abs/2101.06033v1

    • [cs.IT]Is the Chen-Sbert Divergence a Metric?
    Min Chen, Mateu Sbert
    http://arxiv.org/abs/2101.06103v1

    • [cs.IT]Let’s Share VMs: Optimal Placement and Pricing across Base Stations in MEC Systems
    Marie Siew, Kun Guo, Desmond Cai, Lingxiang Li, Tony Q. S. Quek
    http://arxiv.org/abs/2101.06129v1

    • [cs.LG]A General Framework for Hypercomplex-valued Extreme Learning Machines
    Guilherme Vieira, Marcos Eduardo Valle
    http://arxiv.org/abs/2101.06166v1

    • [cs.LG]A Novel Prediction Approach for Exploring PM2.5 Spatiotemporal Propagation Based on Convolutional Recursive Neural Networks
    Hsing-Chung Chen, Karisma Trinanda Putra, Jerry Chun-WeiLin
    http://arxiv.org/abs/2101.06213v1

    • [cs.LG]Affordance-based Reinforcement Learning for Urban Driving
    Tanmay Agarwal, Hitesh Arora, Jeff Schneider
    http://arxiv.org/abs/2101.05970v1

    • [cs.LG]Artificial Intelligence for IT Operations (AIOPS) Workshop White Paper
    Jasmin Bogatinovski, Sasho Nedelkoski, Alexander Acker, Florian Schmidt, Thorsten Wittkopp, Soeren Becker, Jorge Cardoso, Odej Kao
    http://arxiv.org/abs/2101.06054v1

    • [cs.LG]Auto-weighted Robust Federated Learning with Corrupted Data Sources
    Shenghui Li, Edith Ngai, Fanghua Ye, Thiemo Voigt
    http://arxiv.org/abs/2101.05880v1

    • [cs.LG]Counterfactual Generative Networks
    Axel Sauer, Andreas Geiger
    http://arxiv.org/abs/2101.06046v1

    • [cs.LG]Deciding What to Learn: A Rate-Distortion Approach
    Dilip Arumugam, Benjamin Van Roy
    http://arxiv.org/abs/2101.06197v1

    • [cs.LG]DeepWaste: Applying Deep Learning to Waste Classification for a Sustainable Planet
    Yash Narayan
    http://arxiv.org/abs/2101.05960v1

    • [cs.LG]EAGER: Embedding-Assisted Entity Resolution for Knowledge Graphs
    Daniel Obraczka, Jonathan Schuchart, Erhard Rahm
    http://arxiv.org/abs/2101.06126v1

    • [cs.LG]Efficient Semi-Implicit Variational Inference
    Vincent Moens, Hang Ren, Alexandre Maraval, Rasul Tutunov, Jun Wang, Haitham Ammar
    http://arxiv.org/abs/2101.06070v1

    • [cs.LG]Harmonization and the Worst Scanner Syndrome
    Daniel Moyer, Polina Golland
    http://arxiv.org/abs/2101.06255v1

    • [cs.LG]Heating up decision boundaries: isocapacitory saturation, adversarial scenarios and generalization bounds
    Bogdan Georgiev, Lukas Franken, Mayukh Mukherjee
    http://arxiv.org/abs/2101.06061v1

    • [cs.LG]Hybrid Quantum-Classical Graph Convolutional Network
    Samuel Yen-Chi Chen, Tzu-Chieh Wei, Chao Zhang, Haiwang Yu, Shinjae Yoo
    http://arxiv.org/abs/2101.06189v1

    • [cs.LG]Inductive Representation Learning in Temporal Networks via Causal Anonymous Walks
    Yanbang Wang, Yen-Yu Chang, Yunyu Liu, Jure Leskovec, Pan Li
    http://arxiv.org/abs/2101.05974v1

    • [cs.LG]LIME: Learning Inductive Bias for Primitives of Mathematical Reasoning
    Yuhuai Wu, Markus Rabe, Wenda Li, Jimmy Ba, Roger Grosse, Christian Szegedy
    http://arxiv.org/abs/2101.06223v1

    • [cs.LG]Learning Invariant Representation for Continual Learning
    Ghada Sokar, Decebal Constantin Mocanu, Mykola Pechenizkiy
    http://arxiv.org/abs/2101.06162v1

    • [cs.LG]Learning to Sample from Censored Markov Random Fields
    Ankur Moitra, Elchanan Mossel, Colin Sandon
    http://arxiv.org/abs/2101.06178v1

    • [cs.LG]Local Search Algorithms for Rank-Constrained Convex Optimization
    Kyriakos Axiotis, Maxim Sviridenko
    http://arxiv.org/abs/2101.06262v1

    • [cs.LG]Neural Attention Distillation: Erasing Backdoor Triggers from Deep Neural Networks
    Yige Li, Nodens Koren, Lingjuan Lyu, Xixiang Lyu, Bo Li, Xingjun Ma
    http://arxiv.org/abs/2101.05930v1

    • [cs.LG]Predictive Optimization with Zero-Shot Domain Adaptation
    Tomoya Sakai, Naoto Ohsaka
    http://arxiv.org/abs/2101.06233v1

    • [cs.LG]Probabilistic Inference for Learning from Untrusted Sources
    Duc Thien Nguyen, Shiau Hoong Lim, Laura Wynter, Desmond Cai
    http://arxiv.org/abs/2101.06171v1

    • [cs.LG]Randomized Ensembled Double Q-Learning: Learning Fast Without a Model
    Xinyue Chen, Che Wang, Zijian Zhou, Keith Ross
    http://arxiv.org/abs/2101.05982v1

    • [cs.LG]Responsible AI Challenges in End-to-end Machine Learning
    Steven Euijong Whang, Ki Hyun Tae, Yuji Roh, Geon Heo
    http://arxiv.org/abs/2101.05967v1

    • [cs.LG]Robusta: Robust AutoML for Feature Selection via Reinforcement Learning
    Xiaoyang Wang, Bo Li, Yibo Zhang, Bhavya Kailkhura, Klara Nahrstedt
    http://arxiv.org/abs/2101.05950v1

    • [cs.LG]The Geometry of Deep Generative Image Models and its Applications
    Binxu Wang, Carlos R. Ponce
    http://arxiv.org/abs/2101.06006v1

    • [cs.MM]The Multimodal Sentiment Analysis in Car Reviews (MuSe-CaR) Dataset: Collection, Insights and Improvements
    Lukas Stappen, Alice Baird, Lea Schumann, Björn Schuller
    http://arxiv.org/abs/2101.06053v1

    • [cs.NE]A New Artificial Neuron Proposal with Trainable Simultaneous Local and Global Activation Function
    Tiago A. E. Ferreira, Marios Mattheakis, Pavlos Protopapas
    http://arxiv.org/abs/2101.06100v1

    • [cs.NI]Cryptoasset Competition and Market Concentration in the Presence of Network Effects
    Konstantinos Stylianou, Leonhard Spiegelberg, Maurice Herlihy, Nic Carter
    http://arxiv.org/abs/2101.06210v1

    • [cs.NI]EC-SAGINs: Edge Computing-enhanced Space-Air-Ground Integrated Networks for Internet of Vehicles
    Shuai Yu, Xiaowen Gong, Qian Shi, Xiaofei Wang, Xu Chen
    http://arxiv.org/abs/2101.06056v1

    • [cs.RO]A Particle Filtering Framework for Integrity Risk of GNSS-Camera Sensor Fusion
    Adyasha Mohanty, Shubh Gupta, Grace Xingxin Gao
    http://arxiv.org/abs/2101.06044v1

    • [cs.RO]Constraint Handling in Continuous-Time DDP-Based Model Predictive Control
    Jean-Pierre Sleiman, Farbod Farshidian, Marco Hutter
    http://arxiv.org/abs/2101.06067v1

    • [cs.RO]Continual Learning of Knowledge Graph Embeddings
    Angel Daruna, Mehul Gupta, Mohan Sridharan, Sonia Chernova
    http://arxiv.org/abs/2101.05850v1

    • [cs.RO]Deep Reinforcement Learning for Haptic Shared Control in Unknown Tasks
    Franklin Cardeñoso Fernandez, Wouter Caarls
    http://arxiv.org/abs/2101.06227v1

    • [cs.RO]Differentiable Nonparametric Belief Propagation
    Anthony Opipari, Chao Chen, Shoutian Wang, Jana Pavlasek, Karthik Desingh, Odest Chadwicke Jenkins
    http://arxiv.org/abs/2101.05948v1

    • [cs.RO]Instance-Aware Predictive Navigation in Multi-Agent Environments
    Jinkun Cao, Xin Wang, Trevor Darrell, Fisher Yu
    http://arxiv.org/abs/2101.05893v1

    • [cs.RO]Interaction-Aware Behavior Planning for Autonomous Vehicles Validated with Real Traffic Data
    Jinning Li, Liting Sun, Wei Zhan, Masayoshi Tomizuka
    http://arxiv.org/abs/2101.05985v1

    • [cs.RO]Internet of Robotic Things: Current Technologies, Applications, Challenges and Future Directions
    Davide Villa, Xinchao Song, Matthew Heim, Liangshe Li
    http://arxiv.org/abs/2101.06256v1

    • [cs.RO]Local Navigation and Docking of an Autonomous Robot Mower using Reinforcement Learning and Computer Vision
    Ali Taghibakhshi, Nathan Ogden, Matthew West
    http://arxiv.org/abs/2101.06248v1

    • [cs.RO]Scalable Learning of Safety Guarantees for Autonomous Systems using Hamilton-Jacobi Reachability
    Sylvia Herbert, Jason J. Choi, Suvansh Qazi, Marsalis Gibson, Koushil Sreenath, Claire J. Tomlin
    http://arxiv.org/abs/2101.05916v1

    • [cs.RO]SimGAN: Hybrid Simulator Identification for Domain Adaptation via Adversarial Reinforcement Learning
    Yifeng Jiang, Tingnan Zhang, Daniel Ho, Yunfei Bai, C. Karen Liu, Sergey Levine, Jie Tan
    http://arxiv.org/abs/2101.06005v1

    • [cs.SE]Mining Knowledge Graphs From Incident Reports
    Manish Shetty, Chetan Bansal
    http://arxiv.org/abs/2101.05961v1

    • [cs.SI]A Dataset of State-Censored Tweets
    Tuğrulcan Elmas, Rebekah Overdorf, Karl Aberer
    http://arxiv.org/abs/2101.05919v1

    • [cs.SI]A Random Algorithm for Profit Maximization with Multiple Adoptions in Online Social Networks
    Tiantian Chen, Bin Liu, Wenjing Liu, Qizhi Fang, Jing Yuan, Weili Wu
    http://arxiv.org/abs/2101.06239v1

    • [cs.SI]Node and Edge Eigenvector Centrality for Hypergraphs
    Francesco Tudisco, Desmond J. Higham
    http://arxiv.org/abs/2101.06215v1

    • [cs.SI]Russian Troll Account Classification with Twitter and Facebook Data
    Dominic Lewinski, Md Rashidul Hasan
    http://arxiv.org/abs/2101.05983v1

    • [econ.EM]Causal Gradient Boosting: Boosted Instrumental Variable Regression
    Edvard Bakhitov, Amandeep Singh
    http://arxiv.org/abs/2101.06078v1

    • [eess.IV]Hyperspectral Image Classification — Traditional to Deep Models: A Survey for Future Prospects
    Sidrah Shabbir, Muhammad Ahmad
    http://arxiv.org/abs/2101.06116v1

    • [eess.IV]Neural Network-derived perfusion maps: a Model-free approach to computed tomography perfusion in patients with acute ischemic stroke
    Umberto A. Gava, Federico D’Agata, Enzo Tartaglione, Marco Grangetto, Francesca Bertolino, Ambra Santonocito, Edwin Bennink, Mauro Bergui
    http://arxiv.org/abs/2101.05992v1

    • [eess.IV]Task-driven Self-supervised Bi-channel Networks Learning for Diagnosis of Breast Cancers with Mammography
    Ronglin Gong, Zhiyang Lu, Jun Shi
    http://arxiv.org/abs/2101.06228v1

    • [math.NA]STENCIL-NET: Data-driven solution-adaptive discretization of partial differential equations
    Suryanarayana Maddu, Dominik Sturm, Bevan L. Cheeseman, Christian L. Müller, Ivo F. Sbalzarini
    http://arxiv.org/abs/2101.06182v1

    • [math.OC]Stochastic Learning Approach to Binary Optimization for Optimal Design of Experiments
    Ahmed Attia, Sven Leyffer, Todd Munson
    http://arxiv.org/abs/2101.05958v1

    • [math.ST]Random and quasi-random designs in group testing
    Jack Noonan, Anatoly Zhigljavsky
    http://arxiv.org/abs/2101.06130v1

    • [math.ST]Row-column factorial designs with multiple levels
    Fahim Rahim, Nicholas Cavenagh
    http://arxiv.org/abs/2101.05939v1

    • [nlin.AO]Unveiling the role of plasticity rules in reservoir computing
    Guillermo B. Morales, Claudio R. Mirasso, Miguel C. Soriano
    http://arxiv.org/abs/2101.05848v1

    • [physics.soc-ph]Flow stability for dynamic community detection
    Alexandre Bovet, Jean-Charles Delvenne, Renaud Lambiotte
    http://arxiv.org/abs/2101.06131v1

    • [quant-ph]On the statistical complexity of quantum circuits
    Kaifeng Bu, Dax Enshan Koh, Lu Li, Qingxian Luo, Yaobo Zhang
    http://arxiv.org/abs/2101.06154v1

    • [stat.ME]A Bayesian perspective on sampling of alternatives
    Thijs Dekker, Prateek Bansal
    http://arxiv.org/abs/2101.06211v1

    • [stat.ME]A practical test for a planted community in heterogeneous networks
    Mingao Yuan, Qian Wen
    http://arxiv.org/abs/2101.05928v1

    • [stat.ME]An Adaptive Algorithm based on High-Dimensional Function Approximation to obtain Optimal Designs
    Philipp Seufert, Jan Schwientek, Michael Bortz
    http://arxiv.org/abs/2101.06214v1

    • [stat.ME]Estimation of future discretionary benefits in traditional life insurance
    Florian Gach, Simon Hochgerner
    http://arxiv.org/abs/2101.06077v1

    • [stat.ME]Fully Bayesian Estimation under Dependent and Informative Cluster Sampling
    Luis G. Leon-Novelo, Terrance D. Savitsky
    http://arxiv.org/abs/2101.06237v1

    • [stat.ME]Matrix-free Penalized Spline Smoothing with Multiple Covariates
    Julian Wagner, Göran Kauermann, Ralf Münnich
    http://arxiv.org/abs/2101.06034v1

    • [stat.ME]Private Tabular Survey Data Products through Synthetic Microdata Generation
    Jingchen Hu, Terrance D. Savitsky, Matthew R. Williams
    http://arxiv.org/abs/2101.06188v1

    • [stat.ME]Structured Bayesian variable selection for multiple related response variables and high-dimensional predictors
    Zhi Zhao, Marco Banterle, Alex Lewin, Manuela Zucknick
    http://arxiv.org/abs/2101.05899v1

    • [stat.ML]Physics-aware, probabilistic model order reduction with guaranteed stability
    Sebastian Kaltenbach, Phaedon-Stelios Koutsourelakis
    http://arxiv.org/abs/2101.05834v1