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.DS - 数据结构与算法 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.MA - 多代理系统 cs.NI - 网络和互联网体系结构 cs.PL - 编程语言 cs.RO - 机器人学 cs.SD - 声音处理 econ.EM - 计量经济学 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SP - 信号处理 eess.SY - 系统和控制 math.AG - 代数几何 math.OC - 优化与控制 math.ST - 统计理论 physics.soc-ph - 物理学与社会 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [cs.AI]From Data to Actions in Intelligent Transportation Systems: a Prescription of Functional Requirements for Model Actionability
    • [cs.AI]From Route Instructions to Landmark Graphs
    • [cs.AI]Message Passing for Query Answering over Knowledge Graphs
    • [cs.AI]Relational Neural Machines
    • [cs.AI]Soft Hindsight Experience Replay
    • [cs.AI]Stimulating Creativity with FunLines: A Case Study of Humor Generation in Headlines
    • [cs.AI]Temporal-adaptive Hierarchical Reinforcement Learning
    • [cs.AI]The Mimicry Game: Towards Self-recognition in Chatbots
    • [cs.AI]Transfer Heterogeneous Knowledge Among Peer-to-Peer Teammates: A Model Distillation Approach
    • [cs.CE]Damage-sensitive and domain-invariant feature extraction for vehicle-vibration-based bridge health monitoring
    • [cs.CE]Deep-Learning-Enabled Simulated Annealing for Topology Optimization
    • [cs.CL]A Neural Topical Expansion Framework for Unstructured Persona-oriented Dialogue Generation
    • [cs.CL]Aligning the Pretraining and Finetuning Objectives of Language Models
    • [cs.CL]Attractive or Faithful? Popularity-Reinforced Learning for Inspired Headline Generation
    • [cs.CL]Citation Data of Czech Apex Courts
    • [cs.CL]Conversational Structure Aware and Context Sensitive Topic Model for Online Discussions
    • [cs.CL]Irony Detection in a Multilingual Context
    • [cs.CL]Multilingual acoustic word embedding models for processing zero-resource languages
    • [cs.CL]Related Tasks can Share! A Multi-task Framework for Affective language
    • [cs.CL]Towards Semantic Noise Cleansing of Categorical Data based on Semantic Infusion
    • [cs.CL]UNCC Biomedical Semantic Question Answering Systems. BioASQ: Task-7B, Phase-B
    • [cs.CR]BatPay: a gas efficient protocol for the recurrent micropayment of ERC20 tokens
    • [cs.CR]Mitigating Query-Flooding Parameter Duplication Attack on Regression Models with High-Dimensional Gaussian Mechanism
    • [cs.CR]Privacy Preserving PCA for Multiparty Modeling
    • [cs.CR]Privacy-Preserving Boosting in the Local Setting
    • [cs.CV]3DPIFCM Segmentation Algorithm for brain MRI
    • [cs.CV]An Information-rich Sampling Technique over Spatio-Temporal CNN for Classification of Human Actions in Videos
    • [cs.CV]Driver Gaze Estimation in the Real World: Overcoming the Eyeglass Challenge
    • [cs.CV]Fine-Grained Urban Flow Inference
    • [cs.CV]Forensic Scanner Identification Using Machine Learning
    • [cs.CV]Joint Deep Learning of Facial Expression Synthesis and Recognition
    • [cs.CV]Lane Boundary Geometry Extraction from Satellite Imagery
    • [cs.CV]Looking GLAMORous: Vehicle Re-Id in Heterogeneous Cameras Networks with Global and Local Attention
    • [cs.CV]Parallel 3DPIFCM Algorithm for Noisy Brain MRI Images
    • [cs.CV]Person Re-identification by Contour Sketch under Moderate Clothing Change
    • [cs.CV]Pose-Aware Instance Segmentation Framework from Cone Beam CT Images for Tooth Segmentation
    • [cs.CV]RGB-based Semantic Segmentation Using Self-Supervised Depth Pre-Training
    • [cs.CV]Random VLAD based Deep Hashing for Efficient Image Retrieval
    • [cs.CV]Reliability Validation of Learning Enabled Vehicle Tracking
    • [cs.CV]Rotation-invariant Mixed Graphical Model Network for 2D Hand Pose Estimation
    • [cs.CV]Solving Raven’s Progressive Matrices with Neural Networks
    • [cs.CY]Bayesian Networks in Healthcare: Distribution by Medical Condition
    • [cs.CY]Dialogue-based simulation for cultural awareness training
    • [cs.DS]Fair Correlation Clustering
    • [cs.GT]Partially Observable Games for Secure Autonomy
    • [cs.HC]DeepBrain: Towards Personalized EEG Interaction through Attentional and Embedded LSTM Learning
    • [cs.IR]Generating Scientific Question Answering Corpora from Q&A forums
    • [cs.IR]LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation
    • [cs.IR]Understanding Car-Speak: Replacing Humans in Dealerships
    • [cs.IT]A locality-based approach for coded computation
    • [cs.IT]Age of Information in Uncoordinated Unslotted Updating
    • [cs.IT]Generalized Pair Weights of Linear Codes and MacWilliams Extension Theorem
    • [cs.IT]MAC Protocol Design Optimization Using Deep Learning
    • [cs.IT]On Geometry of Information Flow for Causal Inference
    • [cs.IT]On Throughput of Compressive Random Access for One Short Message Delivery in IoT
    • [cs.IT]On the Age of Information for Multicast Transmission with Hard Deadlines in IoT Systems
    • [cs.IT]Optimal Centralized Dynamic-Time-Division-Duplex
    • [cs.IT]Roos bound for skew cyclic codes in Hamming and rank metric
    • [cs.IT]Rényi Entropy Bounds on the Active Learning Cost-Performance Tradeoff
    • [cs.IT]perm2vec: Graph Permutation Selection for Decoding of Error Correction Codes using Self-Attention
    • [cs.LG]A Deterministic Streaming Sketch for Ridge Regression
    • [cs.LG]A Feedback Shift Correction in Predicting Conversion Rates under Delayed Feedback
    • [cs.LG]A Neural Approach to Ordinal Regression for the Preventive Assessment of Developmental Dyslexia
    • [cs.LG]A Reinforcement Learning Framework for Time-Dependent Causal Effects Evaluation in A/B Testing
    • [cs.LG]A mean-field theory of lazy training in two-layer neural nets: entropic regularization and controlled McKean-Vlasov dynamics
    • [cs.LG]AI-GAN: Attack-Inspired Generation of Adversarial Examples
    • [cs.LG]Bridging Ordinary-Label Learning and Complementary-Label Learning
    • [cs.LG]Defending Adversarial Attacks via Semantic Feature Manipulation
    • [cs.LG]Dropout Prediction over Weeks in MOOCs by Learning Representations of Clicks and Videos
    • [cs.LG]Extracting dispersion curves from ambient noise correlations using deep learning
    • [cs.LG]FastGAE: Fast, Scalable and Effective Graph Autoencoders with Stochastic Subgraph Decoding
    • [cs.LG]Faster On-Device Training Using New Federated Momentum Algorithm
    • [cs.LG]Few-Shot Learning as Domain Adaptation: Algorithm and Analysis
    • [cs.LG]Finite Hilbert Transform in Weighted L2 Spaces
    • [cs.LG]LUNAR: Cellular Automata for Drifting Data Streams
    • [cs.LG]Learning Fine Grained Place Embeddings with Spatial Hierarchy from Human Mobility Trajectories
    • [cs.LG]Minimax Confidence Interval for Off-Policy Evaluation and Policy Optimization
    • [cs.LG]Minimizing Dynamic Regret and Adaptive Regret Simultaneously
    • [cs.LG]Mutual Information-based State-Control for Intrinsically Motivated Reinforcement Learning
    • [cs.LG]Nested Barycentric Coordinate System as an Explicit Feature Map
    • [cs.LG]Neural Network Representation Control: Gaussian Isolation Machines and CVC Regularization
    • [cs.LG]No-Regret Prediction in Marginally Stable Systems
    • [cs.LG]Optimal Adaptive Matrix Completion
    • [cs.LG]Product Kanerva Machines: Factorized Bayesian Memory
    • [cs.LG]Regret analysis of the Piyavskii-Shubert algorithm for global Lipschitz optimization
    • [cs.LG]Secure Social Recommendation based on Secret Sharing
    • [cs.LG]Supervised Learning on Relational Databases with Graph Neural Networks
    • [cs.LG]The Costs and Benefits of Goal-Directed Attention in Deep Convolutional Neural Networks
    • [cs.LG]Truncated Hilbert Transform: Uniqueness and a Chebyshev Polynomial Expansion Approach
    • [cs.LG]Unbalanced GANs: Pre-training the Generator of Generative Adversarial Network using Variational Autoencoder
    • [cs.LG]Using generative adversarial networks to synthesize artificial financial datasets
    • [cs.MA]Decentralized Socio-technical Services and Applications for the Internet of Things — A Testbed Self-Integration
    • [cs.MA]Social Diversity and Social Preferences in Mixed-Motive Reinforcement Learning
    • [cs.NI]Automatic Inference of High-Level Network Intents by Mining Forwarding Patterns
    • [cs.PL]PolyScientist: Automatic Loop Transformations Combined with Microkernels for Optimization of Deep Learning Primitives
    • [cs.RO]A Two-Stage Optimization Approach to Safe-by-Design Planning for Autonomous Driving
    • [cs.RO]Fast and Safe Path-Following Control using a State-Dependent Directional Metric
    • [cs.RO]Integrating Planning and Interpretable Goal Recognition for Autonomous Driving
    • [cs.RO]Learning Probabilistic Intersection Traffic Models for Trajectory Prediction
    • [cs.RO]Scalable and Probabilistically Complete Planning for Robotic Spatial Extrusion
    • [cs.RO]Smoother Position-Drift Compensation for Time Domain Passivity Approach based Teleoperation
    • [cs.RO]The utility of tactile force to autonomous learning of in-hand manipulation is task-dependent
    • [cs.RO]Vehicle Ego-Lane Estimation with Sensor Failure Modeling
    • [cs.SD]Continuous Melody Generation via Disentangled Short-Term Representations and Structural Conditions
    • [econ.EM]Dependence-Robust Inference Using Resampled Statistics
    • [eess.AS]BOFFIN TTS: Few-Shot Speaker Adaptation by Bayesian Optimization
    • [eess.IV]Brain Tumor Segmentation by Cascaded Deep Neural Networks Using Multiple Image Scales
    • [eess.IV]End-to-End Models for the Analysis of Pupil Size Variations and Diagnosis of Parkinson’s Disease
    • [eess.IV]Fixed smooth convolutional layer for avoiding checkerboard artifacts in CNNs
    • [eess.IV]Multimodal fusion of imaging and genomics for lung cancer recurrence prediction
    • [eess.IV]Residual-Recursion Autoencoder for Shape Illustration Images
    • [eess.IV]StegColNet: Steganalysis based on an ensemble colorspace approach
    • [eess.IV]Unsupervised Bidirectional Cross-Modality Adaptation via Deeply Synergistic Image and Feature Alignment for Medical Image Segmentation
    • [eess.SP]An Analysis of Adversarial Attacks and Defenses on Autonomous Driving Models
    • [eess.SP]Neural network with data augmentation in multi-objective prediction of multi-stage pump
    • [eess.SP]Over-the-Air Adversarial Attacks on Deep Learning Based Modulation Classifier over Wireless Channels
    • [eess.SP]Using Intelligent Reflecting Surfaces for Rank Improvement in MIMO Communications
    • [eess.SP]ViWi Vision-Aided mmWave Beam Tracking: Dataset, Task, and Baseline Solutions
    • [eess.SY]Data-based computation of stabilizing minimum dwell times for discrete-time switched linear systems
    • [eess.SY]VGAI: A Vision-Based Decentralized Controller Learning Framework for Robot Swarms
    • [math.AG]Toward good families of codes from towers of surfaces
    • [math.OC]Block Distributed Maj
    1000
    orize-Minimize Memory Gradient Algorithm and its application to 3D image restoration
    • [math.OC]Global Convergence of Frank Wolfe on One Hidden Layer Networks
    • [math.OC]Near-Optimal Algorithms for Minimax Optimization
    • [math.ST]Quantification of Differential Information using Matrix Pencil
    • [math.ST]Robust $k$-means Clustering for Distributions with Two Moments
    • [physics.soc-ph]Interlayer link prediction in multiplex social networks: an iterative degree penalty algorithm
    • [physics.soc-ph]Towards a data-driven characterization of behavioral changes induced by the seasonal flu
    • [stat.AP]GLRT based CFAR Pareto-Target Aircraft Detection in Two-Parameter Pareto Distributed Clutter
    • [stat.AP]Value of Information Analysis via Active Learning and Knowledge Sharing in Error-Controlled Adaptive Kriging
    • [stat.ME]An introduction to state-space modeling of ecological time series
    • [stat.ME]Exploring Maximum Entropy Distributions with Evolutionary Algorithms
    • [stat.ME]Fast Stable Parameter Estimation for Linear Dynamical Systems
    • [stat.ME]Robust Boosting for Regression Problems
    • [stat.ME]Small sample corrections for Wald tests in Latent Variable Models
    • [stat.ML]How Good is the Bayes Posterior in Deep Neural Networks Really?
    • [stat.ML]Macroscopic Traffic Flow Modeling with Physics Regularized Gaussian Process: A New Insight into Machine Learning Applications
    • [stat.ML]Near-optimal Reinforcement Learning in Factored MDPs: Oracle-Efficient Algorithms for the Non-episodic Setting
    • [stat.ML]Normalizing Flows on Tori and Spheres
    • [stat.ML]Uncovering differential equations from data with hidden variables

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

    • [cs.AI]From Data to Actions in Intelligent Transportation Systems: a Prescription of Functional Requirements for Model Actionability
    Ibai Lana, Javier J. Sanchez-Medina, Eleni I. Vlahogianni, Javier Del Ser
    http://arxiv.org/abs/2002.02210v1

    • [cs.AI]From Route Instructions to Landmark Graphs
    Christopher M Cervantes
    http://arxiv.org/abs/2002.02012v1

    • [cs.AI]Message Passing for Query Answering over Knowledge Graphs
    Daniel Daza, Michael Cochez
    http://arxiv.org/abs/2002.02406v1

    • [cs.AI]Relational Neural Machines
    Giuseppe Marra, Michelangelo Diligenti, Francesco Giannini, Marco Gori, Marco Maggini
    http://arxiv.org/abs/2002.02193v1

    • [cs.AI]Soft Hindsight Experience Replay
    Qiwei He, Liansheng Zhuang, Houqiang Li
    http://arxiv.org/abs/2002.02089v1

    • [cs.AI]Stimulating Creativity with FunLines: A Case Study of Humor Generation in Headlines
    Nabil Hossain, John Krumm, Tanvir Sajed, Henry Kautz
    http://arxiv.org/abs/2002.02031v1

    • [cs.AI]Temporal-adaptive Hierarchical Reinforcement Learning
    Wen-Ji Zhou, Yang Yu
    http://arxiv.org/abs/2002.02080v1

    • [cs.AI]The Mimicry Game: Towards Self-recognition in Chatbots
    Yigit Oktar, Erdem Okur, Mehmet Turkan
    http://arxiv.org/abs/2002.02334v1

    • [cs.AI]Transfer Heterogeneous Knowledge Among Peer-to-Peer Teammates: A Model Distillation Approach
    Zeyue Xue, Shuang Luo, Chao Wu, Pan Zhou, Kaigui Bian, Wei Du
    http://arxiv.org/abs/2002.02202v1

    • [cs.CE]Damage-sensitive and domain-invariant feature extraction for vehicle-vibration-based bridge health monitoring
    Jingxiao Liu, Bingqing Chen, Siheng Chen, Mario Berges, Jacobo Bielak, HaeYoung Noh
    http://arxiv.org/abs/2002.02105v1

    • [cs.CE]Deep-Learning-Enabled Simulated Annealing for Topology Optimization
    Changyu Deng, Can Qin, Wei Lu
    http://arxiv.org/abs/2002.01927v1

    • [cs.CL]A Neural Topical Expansion Framework for Unstructured Persona-oriented Dialogue Generation
    Minghong Xu, Piji Li, Haoran Yang, Pengjie Ren, Zhaochun Ren, Zhumin Chen, Jun Ma
    http://arxiv.org/abs/2002.02153v1

    • [cs.CL]Aligning the Pretraining and Finetuning Objectives of Language Models
    Nuo Wang Pierse, Jingwen Lu
    http://arxiv.org/abs/2002.02000v1

    • [cs.CL]Attractive or Faithful? Popularity-Reinforced Learning for Inspired Headline Generation
    Yun-Zhu Song, Hong-Han Shuai, Sung-Lin Yeh, Yi-Lun Wu, Lun-Wei Ku, Wen-Chih Peng
    http://arxiv.org/abs/2002.02095v1

    • [cs.CL]Citation Data of Czech Apex Courts
    Jakub Harašta, Tereza Novotná, Jaromír Šavelka
    http://arxiv.org/abs/2002.02224v1

    • [cs.CL]Conversational Structure Aware and Context Sensitive Topic Model for Online Discussions
    Yingcheng Sun, Kenneth Loparo, Richard Kolacinski
    http://arxiv.org/abs/2002.02353v1

    • [cs.CL]Irony Detection in a Multilingual Context
    Bilal Ghanem, Jihen Karoui, Farah Benamara, Paolo Rosso, Véronique Moriceau
    http://arxiv.org/abs/2002.02427v1

    • [cs.CL]Multilingual acoustic word embedding models for processing zero-resource languages
    Herman Kamper, Yevgen Matusevych, Sharon Goldwater
    http://arxiv.org/abs/2002.02109v1

    • [cs.CL]Related Tasks can Share! A Multi-task Framework for Affective language
    Kumar Shikhar Deep, Md Shad Akhtar, Asif Ekbal, Pushpak Bhattacharyya
    http://arxiv.org/abs/2002.02154v1

    • [cs.CL]Towards Semantic Noise Cleansing of Categorical Data based on Semantic Infusion
    Rishabh Gupta, Rajesh N Rao
    http://arxiv.org/abs/2002.02238v1

    • [cs.CL]UNCC Biomedical Semantic Question Answering Systems. BioASQ: Task-7B, Phase-B
    Sai Krishna Telukuntla, Aditya Kapri, Wlodek Zadrozny
    http://arxiv.org/abs/2002.01984v1

    • [cs.CR]BatPay: a gas efficient protocol for the recurrent micropayment of ERC20 tokens
    Hartwig Mayer, Ismael Bejarano, Daniel Fernandez, Gustavo Ajzenman, Nicolas Ayala, Nahuel Santoalla, Carlos Sarraute, Ariel Futoransky
    http://arxiv.org/abs/2002.02316v1

    • [cs.CR]Mitigating Query-Flooding Parameter Duplication Attack on Regression Models with High-Dimensional Gaussian Mechanism
    Xiaoguang Li, Hui Li, Haonan Yan, Zelei Cheng, Wenhai Sun, Hui Zhu
    http://arxiv.org/abs/2002.02061v1

    • [cs.CR]Privacy Preserving PCA for Multiparty Modeling
    Yingting Liu, Chaochao Chen, Longfei Zheng, Li Wang, Jun Zhou, Guiquan Liu
    http://arxiv.org/abs/2002.02091v1

    • [cs.CR]Privacy-Preserving Boosting in the Local Setting
    Sen Wang, J. Morris Chang
    http://arxiv.org/abs/2002.02096v1

    • [cs.CV]3DPIFCM Segmentation Algorithm for brain MRI
    Arie Agranonik
    http://arxiv.org/abs/2002.01985v1

    • [cs.CV]An Information-rich Sampling Technique over Spatio-Temporal CNN for Classification of Human Actions in Videos
    S. H. Shabbeer Basha, Viswanath Pulabaigari, Snehasis Mukherjee
    http://arxiv.org/abs/2002.02100v1

    • [cs.CV]Driver Gaze Estimation in the Real World: Overcoming the Eyeglass Challenge
    Akshay Rangesh, Bowen Zhang, Mohan M. Trivedi
    http://arxiv.org/abs/2002.02077v1

    • [cs.CV]Fine-Grained Urban Flow Inference
    Kun Ouyang, Yuxuan Liang, Ye Liu, Zekun Tong, Sijie Ruan, Yu Zheng, David S. Rosenblum
    http://arxiv.org/abs/2002.02318v1

    • [cs.CV]Forensic Scanner Identification Using Machine Learning
    Ruiting Shao, Edward J. Delp
    http://arxiv.org/abs/2002.02079v1

    • [cs.CV]Joint Deep Learning of Facial Expression Synthesis and Recognition
    Yan Yan, Ying Huang, Si Chen, Chunhua Shen, Hanzi Wang
    http://arxiv.org/abs/2002.02194v1

    • [cs.CV]Lane Boundary Geometry Extraction from Satellite Imagery
    Andi Zang, Runsheng Xu, Zichen Li, David Doria
    http://arxiv.org/abs/2002.02362v1

    • [cs.CV]Looking GLAMORous: Vehicle Re-Id in Heterogeneous Cameras Networks with Global and Local Attention
    Abhijit Suprem, Calton Pu
    http://arxiv.org/abs/2002.02256v1

    • [cs.CV]Parallel 3DPIFCM Algorithm for Noisy Brain MRI Images
    Arie Agranonik, Maya Herman, Mark Last
    http://arxiv.org/abs/2002.01981v1

    • [cs.CV]Person Re-identification by Contour Sketch under Moderate Clothing Change
    Qize Yang, Ancong Wu, Wei-Shi Zheng
    http://arxiv.org/abs/2002.02295v1

    • [cs.CV]Pose-Aware Instance Segmentation Framework from Cone Beam CT Images for Tooth Segmentation
    Minyoung Chung, Minkyung Lee, Jioh Hong, Sanguk Park, Jusang Lee, Jingyu Lee, Jeongjin Lee, Yeong-Gil Shin
    http://arxiv.org/abs/2002.02143v1

    • [cs.CV]RGB-based Semantic Segmentation Using Self-Supervised Depth Pre-Training
    Jean Lahoud, Bernard Ghanem
    http://arxiv.org/abs/2002.02200v1

    • [cs.CV]Random VLAD based Deep Hashing for Efficient Image Retrieval
    Li Weng, Lingzhi Ye, Jiangmin Tian, Jiuwen Cao, Jianzhong Wang
    http://arxiv.org/abs/2002.02333v1

    • [cs.CV]Reliability Validation of Learning Enabled Vehicle Tracking
    Youcheng Sun, Yifan Zhou, Simon Maskell, James Sharp, Xiaowei Huang
    http://arxiv.org/abs/2002.02424v1

    • [cs.CV]Rotation-invariant Mixed Graphical Model Network for 2D Hand Pose Estimation
    Deying Kong, Haoyu Ma, Yifei Chen, Xiaohui Xie
    http://arxiv.org/abs/2002.02033v1

    • [cs.CV]Solving Raven’s Progressive Matrices with Neural Networks
    Tao Zhuo, Mohan Kankanhalli
    http://arxiv.org/abs/2002.01646v2

    • [cs.CY]Bayesian Networks in Healthcare: Distribution by Medical Condition
    Scott McLachlan, Kudakwashe Dube, Graham A Hitman, Norman E Fenton, Evangelia Kyrimi
    http://arxiv.org/abs/2002.00224v2

    • [cs.CY]Dialogue-based simulation for cultural awareness training
    Sodiq Adewole, Erfaneh Gharavi, Benjamin Shpringer, Martin Bolger, Vaibhav Sharma, Sung Ming Yang, Donald E. Brown
    http://arxiv.org/abs/2002.00223v1

    • [cs.DS]Fair Correlation Clustering
    Sara Ahmadian, Alessandro Epasto, Ravi Kumar, Mohammad Mahdian
    http://arxiv.org/abs/2002.02274v1

    • [cs.GT]Partially Observable Games for Secure Autonomy
    Mohamadreza Ahmadi, Arun A. Viswanathan, Michel D. Ingham, Kymie Tan, Aaron D. Ames
    http://arxiv.org/abs/2002.01969v1

    • [cs.HC]DeepBrain: Towards Personalized EEG Interaction through Attentional and Embedded LSTM Learning
    Di Wu, Huayan Wan, Siping Liu, Weiren Yu, Zhanpeng Jin, Dakuo Wang
    http://arxiv.org/abs/2002.02086v1

    • [cs.IR]Generating Scientific Question Answering Corpora from Q&A forums
    Andre Lamurias, Diana Sousa, Francisco M. Couto
    http://arxiv.org/abs/2002.02375v1

    • [cs.IR]LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation
    Xiangnan He, Kuan Deng, Xiang Wang, Yan Li, Yongdong Zhang, Meng Wang
    http://arxiv.org/abs/2002.02126v1

    • [cs.IR]Understanding Car-Speak: Replacing Humans in Dealerships
    Habeeb Hooshmand, James Caverlee
    http://arxiv.org/abs/2002.02070v1

    • [cs.IT]A locality-based approach for coded computation
    Michael Rudow, K. V. Rashmi, Venkatesan Guruswami
    http://arxiv.org/abs/2002.02440v1

    • [cs.IT]Age of Information in Uncoordinated Unslotted Updating
    Roy D. Yates, Sanjit K. Kaul
    http://arxiv.org/abs/2002.02026v1

    • [cs.IT]Generalized Pair Weights of Linear Codes and MacWilliams Extension Theorem
    Hongwei Liu, Xu Pan
    http://arxiv.org/abs/2002.02165v1

    • [cs.IT]MAC Protocol Design Optimization Using Deep Learning
    Hannaneh Barahouei Pasandi, Tamer Nadeem
    http://arxiv.org/abs/2002.02075v1

    • [cs.IT]On Geometry of Information Flow for Causal Inference
    Sudam Surasinghe, Erik M. Bollt
    http://arxiv.org/abs/2002.02078v1

    • [cs.IT]On Throughput of Compressive Random Access for One Short Message Delivery in IoT
    Jinho Choi
    http://arxiv.org/abs/2002.02003v1

    • [cs.IT]On the Age of Information for Multicast Transmission with Hard Deadlines in IoT Systems
    Jie Li, Yong Zhou, He Chen
    http://arxiv.org/abs/2002.02125v1

    • [cs.IT]Optimal Centralized Dynamic-Time-Division-Duplex
    Mohsen Mohammadkhani Razlighi, Nikola Zlatanov, Shiva Raj Pokhrel, Petar Popovski
    http://arxiv.org/abs/2002.02123v1

    • [cs.IT]Roos bound for skew cyclic codes in Hamming and rank metric
    Gianira N. Alfarano, F. J. Lobillo, Alessandro Neri
    http://arxiv.org/abs/2002.02327v1

    • [cs.IT]Rényi Entropy Bounds on the Active Learning Cost-Performance Tradeoff
    Vahid Jamali, Antonia Tulino, Jaime Llorca, Elza Erkip
    http://arxiv.org/abs/2002.02025v1

    • [cs.IT]perm2vec: Graph Permutation Selection for Decoding of Error Correction Codes using Self-Attention
    Nir Raviv, Avi Caciularu, Tomer Raviv, Jacob Goldberger, Yair Be’ery
    http://arxiv.org/abs/2002.02315v1

    • [cs.LG]A Deterministic Streaming Sketch for Ridge Regression
    Benwei Shi, Jeff M. Phillips
    http://arxiv.org/abs/2002.02013v1

    • [cs.LG]A Feedback Shift Correction in Predicting Conversion Rates under Delayed Feedback
    Shota Yasui, Gota Morishita, Komei Fujita, Masashi Shibata
    http://arxiv.org/abs/2002.02068v1

    • [cs.LG]A Neural Approach to Ordinal Regression for the Preventive Assessment of Developmental Dyslexia
    F. J. Martinez-Murcia, A. Ortiz, M. Lopez-Zamora, J. L. Luque, A. Giménez
    http://arxiv.org/abs/2002.02184v1

    • [cs.LG]A Reinforcement Learning Framework for Time-Dependent Causal Effects Evaluation in A/B Testing
    Chengchun Shi, Xiaoyu Wang, Shikai Luo, Rui Song, Hongtu Zhu, Jieping Ye
    http://arxiv.org/abs/2002.01711v2

    • [cs.LG]A mean-field theory of lazy training in two-layer neural nets: entropic regularization and controlled McKean-Vlasov dynamics
    Belinda Tzen, Maxim Raginsky
    http://arxiv.org/abs/2002.01987v1

    • [cs.LG]AI-GAN: Attack-Inspired Generation of Adversarial Examples
    Tao Bai, Jun Zhao, Jinlin Zhu, Shoudong Han, Jiefeng Chen, Bo Li
    http://arxiv.org/abs/2002.02196v1

    • [cs.LG]Bridging Ordinary-Label Learning and Complementary-Label Learning
    Yasuhiro Katsura, Masato Uchida
    http://arxiv.org/abs/2002.02158v1

    • [cs.LG]Defending Adversarial Attacks via Semantic Feature Manipulation
    Shuo Wang, Tianle Chen, Surya Nepal, Carsten Rudolph, Marthie Grobler, Shangyu Chen
    http://arxiv.org/abs/2002.02007v1

    • [cs.LG]Dropout Prediction over Weeks in MOOCs by Learning Representations of Clicks and Videos
    Byungsoo Jeon, Namyong Park
    http://arxiv.org/abs/2002.01955v1

    • [cs.LG]Extracting dispersion curves from ambient noise correlations using deep learning
    Xiaotian Zhang, Zhe Jia, Zachary E. Ross, Robert W. Clayton
    http://arxiv.org/abs/2002.02040v1

    • [cs.LG]FastGAE: Fast, Scalable and Effective Graph Autoencoders with Stochastic Subgraph Decoding
    Guillaume Salha, Romain Hennequin, Jean-Baptiste Remy, Manuel Moussallam, Michalis Vazirgiannis
    http://arxiv.org/abs/2002.01910v2

    • [cs.LG]Faster On-Device Training Using New Federated Momentum Algorithm
    Zhouyuan Huo, Qian Yang, Bin Gu, Lawrence Carin. Heng Huang
    http://arxiv.org/abs/2002.02090v1

    • [cs.LG]Few-Shot Learning as Domain Adaptation: Algorithm and Analysis
    Jiechao Guan, Zhiwu Lu, Tao Xiang, Ji-Rong Wen
    http://arxiv.org/abs/2002.02050v1

    • [cs.LG]Finite Hilbert Transform in Weighted L2 Spaces
    Jason You
    http://arxiv.org/abs/2002.02071v1

    • [cs.LG]LUNAR: Cellular Automata for Drifting Data Streams
    Jesus L. Lobo, Javier Del Ser, Francisco Herrera
    http://arxiv.org/abs/2002.02164v1

    • [cs.LG]Learning Fine Grained Place Embeddings with Spatial Hierarchy from Human Mobility Trajectories
    Toru Shimizu, Takahiro Yabe, Kota Tsubouchi
    http://arxiv.org/abs/2002.02058v1

    • [cs.LG]Minimax Confidence Interval for Off-Policy Evaluation and Policy Optimization
    Nan Jiang, Jiawei Huang
    http://arxiv.org/abs/2002.02081v1

    • [cs.LG]Minimizing Dynamic Regret and Adaptive Regret Simultaneously
    Lijun Zhang, Shiyin Lu, Tianbao Yang
    http://arxiv.org/abs/2002.02085v1

    • [cs.LG]Mutual Information-based State-Control for Intrinsically Motivated Reinforcement Learning
    Rui Zhao, Volker Tresp, Wei Xu
    http://arxiv.org/abs/2002.01963v1

    • [cs.LG]Nested Barycentric Coordinate System as an Explicit Feature Map
    Lee-Ad Gottlieb, Eran Kaufman, Aryeh Kontorovich, Gabriel Nivasch, Ofir Pele
    http://arxiv.org/abs/2002.01999v1

    • [cs.LG]Neural Network Representation Control: Gaussian Isolation Machines and CVC Regularization
    Guy Amit, Ishai Rosenberg, Moshe Levy, Ron Bitton, Asaf Shabtai, Yuval Elovici
    http://arxiv.org/abs/2002.02176v1

    • [cs.LG]No-Regret Prediction in Marginally Stable Systems
    Udaya Ghai, Holden Lee, Karan Singh, Cyril Zhang, Yi Zhang
    http://arxiv.org/abs/2002.02064v1

    • [cs.LG]Optimal Adaptive Matrix Completion
    Ilqar ramazanli, Barnabas Poczos
    http://arxiv.org/abs/2002.02431v1

    • [cs.LG]Product Kanerva Machines: Factorized Bayesian Memory
    Adam Marblestone, Yan Wu, Greg Wayne
    http://arxiv.org/abs/2002.02385v1

    • [cs.LG]Regret analysis of the Piyavskii-Shubert algorithm for global Lipschitz optimization
    Clément Bouttier, Tommaso Cesari, Sébastien Gerchinovitz
    http://arxiv.org/abs/2002.02390v1

    • [cs.LG]Secure Social Recommendation based on Secret Sharing
    Chaochao Chen, Liang Li, Bingzhe Wu, Cheng Hong, Li Wang, Jun Zhou
    http://arxiv.org/abs/2002.02088v1

    • [cs.LG]Supervised Learning on Relational Databases with Graph Neural Networks
    Milan Cvitkovic
    http://arxiv.org/abs/2002.02046v1

    • [cs.LG]The Costs and Benefits of Goal-Directed Attention in Deep Convolutional Neural Networks
    Xiaoliang Luo, Brett D. Roads, Bradley C. Love
    http://arxiv.org/abs/2002.02342v1

    • [cs.LG]Truncated Hilbert Transform: Uniqueness and a Chebyshev Polynomial Expansion Approach
    Jason You
    http://arxiv.org/abs/2002.02073v1

    • [cs.LG]Unbalanced GANs: Pre-training the Generator of Generative Adversarial Network using Variational Autoencoder
    Hyungrok Ham, Tae Joon Jun, Daeyoung Kim
    http://arxiv.org/abs/2002.02112v1

    • [cs.LG]Using generative adversarial networks to synthesize artificial financial datasets
    Dmitry Efimov, Di Xu, Luyang Kong, Alexey Nefedov, Archana Anandakrishnan
    http://arxiv.org/abs/2002.02271v1

    • [cs.MA]Decentralized Socio-technical Services and Applications for the Internet of Things — A Testbed Self-Integration
    Farzam Fanitabasi, Edward Gaere, Evangelos Pournaras
    http://arxiv.org/abs/2002.02219v1

    • [cs.MA]Social Diversity and Social Preferences in Mixed-Motive Reinforcement Learning
    Kevin R. McKee, Ian Gemp, Brian McWilliams, Edgar A. Duéñez-Guzmán, Edward Hughes, Joel Z. Leibo
    http://arxiv.org/abs/2002.02325v1

    • [cs.NI]Automatic Inference of High-Level Network Intents by Mining Forwarding Patterns
    Ali Kheradmand
    http://arxiv.org/abs/2002.02423v1

    • [cs.PL]PolyScientist: Automatic Loop Transformations Combined with Microkernels for Optimization of Deep Learning Primitives
    Sanket Tavarageri, Alexander Heinecke, Sasikanth Avancha, Gagandeep Goyal, Ramakrishna Upadrasta, Bharat Kaul
    http://arxiv.org/abs/2002.02145v1

    • [cs.RO]A Two-Stage Optimization Approach to Safe-by-Design Planning for Autonomous Driving
    Francisco Eiras, Majd Hawasly, Stefano V. Albrecht, Subramanian Ramamoorthy
    http://arxiv.org/abs/2002.02215v1

    • [cs.RO]Fast and Safe Path-Following Control using a State-Dependent Directional Metric
    Zhichao Li, Omur Arslan, Nikolay Atanasov
    http://arxiv.org/abs/2002.02038v1

    • [cs.RO]Integrating Planning and Interpretable Goal Recognition for Autonomous Driving
    Stefano V. Albrecht, Cillian Brewitt, John Wilhelm, Francisco Eiras, Mihai Dobre, Subramanian Ramamoorthy
    http://arxiv.org/abs/2002.02277v1

    • [cs.RO]Learning Probabilistic Intersection Traffic Models for Trajectory Prediction
    Andrew Patterson, Aditya Gahlawat, Naira Hovakimyan
    http://arxiv.org/abs/2002.01965v1

    • [cs.RO]Scalable and Probabilistically Complete Planning for Robotic Spatial Extrusion
    Caelan Reed Garrett, Yijiang Huang, Tomás Lozano-Pérez, Caitlin Tobin Mueller
    http://arxiv.org/abs/2002.02360v1

    • [cs.RO]Smoother Position-Drift Compensation for Time Domain Passivity Approach based Teleoperation
    Andre Coelho, Harsimran Singh, Tin Muskardin, Ribin Balachandran, Konstantin Kondak
    http://arxiv.org/abs/2002.02296v1

    • [cs.RO]The utility of tactile force to autonomous learning of in-hand manipulation is task-dependent
    Romina Mir, Ali Marjaninejad, Francisco J. Valero-Cuevas
    http://arxiv.org/abs/2002.02418v1

    • [cs.RO]Vehicle Ego-Lane Estimation with Sensor Failure Modeling
    Augusto Luis Ballardini, Daniele Cattaneo, Rubén Izquierdo, Ignacio Parra Alonso, Andrea Piazzoni, Miguel Ángel Sotelo, Domenico Giorgio Sorrenti
    http://arxiv.org/abs/2002.01913v2

    • [cs.SD]Continuous Melody Generation via Disentangled Short-Term Representations and Structural Conditions
    Ke Chen, Gus Xia, Shlomo Dubnov
    http://arxiv.org/abs/2002.02393v1

    • [econ.EM]Dependence-Robust Inference Using Resampled Statistics
    Michael P. Leung
    http://arxiv.org/abs/2002.02097v1

    • [eess.AS]BOFFIN TTS: Few-Shot Speaker Adaptation by Bayesian Optimization
    Henry B. Moss, Vatsal Aggarwal, Nishant Prateek, Javier González, Roberto Barra-Chicote
    http://arxiv.org/abs/2002.01953v1

    • [eess.IV]Brain Tumor Segmentation by Cascaded Deep Neural Networks Using Multiple Image Scales
    Zahra Sobhaninia, Safiyeh Rezaei, Nader Karimi, Ali Emami, Shadrokh Samavi
    http://arxiv.org/abs/2002.01975v1

    • [eess.IV]End-to-End Models for the Analysis of Pupil Size Variations and Diagnosis of Parkinson’s Disease
    Dario Zanca, Alessandra Rufa, Andrea Canessa, Silvio Sabatini
    http://arxiv.org/abs/2002.02383v1

    • [eess.IV]Fixed smooth convolutional layer for avoiding checkerboard artifacts in CNNs
    Yuma Kinoshita, Hitoshi Kiya
    http://arxiv.org/abs/2002.02117v1

    • [eess.IV]Multimodal fusion of imaging and genomics for lung cancer recurrence prediction
    Vaishnavi Subramanian, Minh N. Do, Tanveer Syeda-Mahmood
    http://arxiv.org/abs/2002.01982v1

    • [eess.IV]Residual-Recursion Autoencoder for Shape Illustration Images
    Qianwei Zhou, Peng Tao, Xiaoxin Li, Shengyong Chen, Fan Zhang, Haigen Hu
    http://arxiv.org/abs/2002.02063v1

    • [eess.IV]StegColNet: Steganalysis based on an ensemble colorspace approach
    Shreyank N Gowda, Chun Yuan
    http://arxiv.org/abs/2002.02413v1

    • [eess.IV]Unsupervised Bidirectional Cross-Modality Adaptation via Deeply Synergistic Image and Feature Alignment for Medical Image Segmentation
    Cheng Chen, Qi Dou, Hao Chen, Jing Qin, Pheng Ann Heng
    http://arxiv.org/abs/2002.02255v1

    • [eess.SP]An Analysis of Adversarial Attacks and Defenses on Autonomous Driving Models
    Yao Deng, Xi Zheng, Tianyi Zhang, Chen Chen, Guannan Lou, Miryung Kim
    http://arxiv.org/abs/2002.02175v1

    • [eess.SP]Neural network with data augmentation in multi-objective prediction of multi-stage pump
    Hang Zhao
    http://arxiv.org/abs/2002.02402v1

    • [eess.SP]Over-the-Air Adversarial Attacks on Deep Learning Based Modulation Classifier over Wireless Channels
    Brian Kim, Yalin E. Sagduyu, Kemal Davaslioglu, Tugba Erpek, Sennur Ulukus
    http://arxiv.org/abs/2002.02400v1

    • [eess.SP]Using Intelligent Reflecting Surfaces for Rank Improvement in MIMO Communications
    Özgecan Özdogan, Emil Björnson, Erik G. Larsson
    http://arxiv.org/abs/2002.02182v1

    • [eess.SP]ViWi Vision-Aided mmWave Beam Tracking: Dataset, Task, and Baseline Solutions
    Muhammad Alrabeiah, Jayden Booth, Andrew Hredzak, Ahmed Alkhateeb
    http://arxiv.org/abs/2002.02445v1

    • [eess.SY]Data-based computation of stabilizing minimum dwell times for discrete-time switched linear systems
    Atreyee Kundu
    http://arxiv.org/abs/2002.02087v1

    • [eess.SY]VGAI: A Vision-Based Decentralized Controller Learning Framework for Robot Swarms
    Ting-Kuei Hu, Fernando Gama, Zhangyang Wang, Alejandro Ribeiro, Brian M. Sadler
    http://arxiv.org/abs/2002.02308v1

    • [math.AG]Toward good families of codes from towers of surfaces
    Alain Couvreur, Philippe Lebacque, Marc Perret
    http://arxiv.org/abs/2002.02220v1

    • [math.OC]Block Distributed Maj
    1000
    orize-Minimize Memory Gradient Algorithm and its application to 3D image restoration
    Mathieu Chalvidal, Emilie Chouzenoux
    http://arxiv.org/abs/2002.02328v1

    • [math.OC]Global Convergence of Frank Wolfe on One Hidden Layer Networks
    Alexandre d’Aspremont, Mert Pilanci
    http://arxiv.org/abs/2002.02208v1

    • [math.OC]Near-Optimal Algorithms for Minimax Optimization
    Tianyi Lin, Chi Jin, Michael. I. Jordan
    http://arxiv.org/abs/2002.02417v1

    • [math.ST]Quantification of Differential Information using Matrix Pencil
    Snigdha Bhagat, S. D. Joshi
    http://arxiv.org/abs/2002.02116v1

    • [math.ST]Robust $k$-means Clustering for Distributions with Two Moments
    Yegor Klochkov, Alexey Kroshnin, Nikita Zhivotovskiy
    http://arxiv.org/abs/2002.02339v1

    • [physics.soc-ph]Interlayer link prediction in multiplex social networks: an iterative degree penalty algorithm
    Rui Tang, Shuyu Jiang, Xingshu Chen, Haizhou Wang, Wenxian Wang, Wei Wang
    http://arxiv.org/abs/2002.02140v1

    • [physics.soc-ph]Towards a data-driven characterization of behavioral changes induced by the seasonal flu
    Nicolò Gozzi, Daniela Perrotta, Daniela Paolotti, Nicola Perra
    http://arxiv.org/abs/2002.00671v1

    • [stat.AP]GLRT based CFAR Pareto-Target Aircraft Detection in Two-Parameter Pareto Distributed Clutter
    John Bob Gali, Priyadip Ray, Goutam Das
    http://arxiv.org/abs/2002.02434v1

    • [stat.AP]Value of Information Analysis via Active Learning and Knowledge Sharing in Error-Controlled Adaptive Kriging
    Chi Zhang, Zeyu Wang, Abdollah Shafieezadeh
    http://arxiv.org/abs/2002.02354v1

    • [stat.ME]An introduction to state-space modeling of ecological time series
    Marie Auger-Méthé, Ken Newman, Diana Cole, Fanny Empacher, Rowenna Gryba, Aaron A. King, Vianney Leos-Barajas, Joanna Mills Flemming, Anders Nielsen, Giovanni Petris, Len Thomas
    http://arxiv.org/abs/2002.02001v1

    • [stat.ME]Exploring Maximum Entropy Distributions with Evolutionary Algorithms
    Raul Rojas
    http://arxiv.org/abs/2002.01973v1

    • [stat.ME]Fast Stable Parameter Estimation for Linear Dynamical Systems
    Michelle Carey, James O. Ramsay
    http://arxiv.org/abs/2002.02024v1

    • [stat.ME]Robust Boosting for Regression Problems
    Xiaomeng Ju, Matías Salibián-Barrera
    http://arxiv.org/abs/2002.02054v1

    • [stat.ME]Small sample corrections for Wald tests in Latent Variable Models
    Brice Ozenne, Patrick M. Fisher, Esben Budtz-Jørgensen
    http://arxiv.org/abs/2002.02272v1

    • [stat.ML]How Good is the Bayes Posterior in Deep Neural Networks Really?
    Florian Wenzel, Kevin Roth, Bastiaan S. Veeling, Jakub Świątkowski, Linh Tran, Stephan Mandt, Jasper Snoek, Tim Salimans, Rodolphe Jenatton, Sebastian Nowozin
    http://arxiv.org/abs/2002.02405v1

    • [stat.ML]Macroscopic Traffic Flow Modeling with Physics Regularized Gaussian Process: A New Insight into Machine Learning Applications
    Yun Yuan, Xianfeng Terry Yang, Zhao Zhang, Shandian Zhe
    http://arxiv.org/abs/2002.02374v1

    • [stat.ML]Near-optimal Reinforcement Learning in Factored MDPs: Oracle-Efficient Algorithms for the Non-episodic Setting
    Ziping Xu, Ambuj Tewari
    http://arxiv.org/abs/2002.02302v1

    • [stat.ML]Normalizing Flows on Tori and Spheres
    Danilo Jimenez Rezende, George Papamakarios, Sébastien Racanière, Michael S. Albergo, Gurtej Kanwar, Phiala E. Shanahan, Kyle Cranmer
    http://arxiv.org/abs/2002.02428v1

    • [stat.ML]Uncovering differential equations from data with hidden variables
    Agustín Somacal, Leonardo Boechi, Matthieu Jonckheere, Vincent Lefieux, Dominique Picard, Ezequiel Smucler
    http://arxiv.org/abs/2002.02250v1