cs.AI - 人工智能

    cs.CC - 计算复杂度 cs.CL - 计算与语言 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.HC - 人机接口 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.SI - 社交网络与信息网络 eess.IV - 图像与视频处理 eess.SP - 信号处理 eess.SY - 系统和控制 math.OC - 优化与控制 math.ST - 统计理论 physics.comp-ph - 计算物理学 physics.soc-ph - 物理学与社会 q-bio.TO - 组织和器官 quant-ph - 量子物理 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [cs.AI]An efficient constraint based framework forhandling floating point SMT problems
    • [cs.AI]Automating the Generation of High School Geometry Proofs using Prolog in an Educational Context
    • [cs.AI]Bringing freedom in variable choice when searching counter-examples in floating point programs
    • [cs.AI]C-CoCoA: A Continuous Cooperative Constraint Approximation Algorithm to Solve Functional DCOPs
    • [cs.AI]Multi-tier Automated Planning for Adaptive Behavior (Extended Version)
    • [cs.AI]Towards a Geometry Automated Provers Competition
    • [cs.CC]Two Player Hidden Pointer Chasing and Multi-Pass Lower Bounds in Turnstile Streams
    • [cs.CL]Automatic Section Recognition in Obituaries
    • [cs.CL]Comparison of Speech Representations for Automatic Quality Estimation in Multi-Speaker Text-to-Speech Synthesis
    • [cs.CL]DC-BERT: Decoupling Question and Document for Efficient Contextual Encoding
    • [cs.CL]Do all Roads Lead to Rome? Understanding the Role of Initialization in Iterative Back-Translation
    • [cs.CL]Metaphoric Paraphrase Generation
    • [cs.CL]Modeling Future Cost for Neural Machine Translation
    • [cs.CL]Robust Unsupervised Neural Machine Translation with Adversarial Training
    • [cs.CL]Temporal Convolutional Attention-based Network For Sequence Modeling
    • [cs.CL]TextBrewer: An Open-Source Knowledge Distillation Toolkit for Natural Language Processing
    • [cs.CL]UKARA 1.0 Challenge Track 1: Automatic Short-Answer Scoring in Bahasa Indonesia
    • [cs.CL]UniLMv2: Pseudo-Masked Language Models for Unified Language Model Pre-Training
    • [cs.CV]4D Association Graph for Realtime Multi-person Motion Capture Using Multiple Video Cameras
    • [cs.CV]A Multi-Hypothesis Classification Approach to Color Constancy
    • [cs.CV]A Spatiotemporal Volumetric Interpolation Network for 4D Dynamic Medical Image
    • [cs.CV]A U-Net Based Discriminator for Generative Adversarial Networks
    • [cs.CV]A Video Analysis Method on Wanfang Dataset via Deep Neural Network
    • [cs.CV]Applying Tensor Decomposition to image for Robustness against Adversarial Attack
    • [cs.CV]Automated classification of stems and leaves of potted plants based on point cloud data
    • [cs.CV]Cross-modality Person re-identification with Shared-Specific Feature Transfer
    • [cs.CV]DGST : Discriminator Guided Scene Text detector
    • [cs.CV]Detecting Patch Adversarial Attacks with Image Residuals
    • [cs.CV]Detecting and Recovering Adversarial Examples: An Input Sensitivity Guided Method
    • [cs.CV]Exploring and Distilling Cross-Modal Information for Image Captioning
    • [cs.CV]Hand-Priming in Object Localization for Assistive Egocentric Vision
    • [cs.CV]Indoor Scene Recognition in 3D
    • [cs.CV]Infrared and 3D skeleton feature fusion for RGB-D action recognition
    • [cs.CV]Inverse Graphics GAN: Learning to Generate 3D Shapes from Unstructured 2D Data
    • [cs.CV]KeypointNet: A Large-scale 3D Keypoint Dataset Aggregated from Numerous Human Annotations
    • [cs.CV]MANet: Multimodal Attention Network based Point- View fusion for 3D Shape Recognition
    • [cs.CV]MINA: Convex Mixed-Integer Programming for Non-Rigid Shape Alignment
    • [cs.CV]MNN: A Universal and Efficient Inference Engine
    • [cs.CV]Neural Inheritance Relation Guided One-Shot Layer Assignment Search
    • [cs.CV]Predicting Sharp and Accurate Occlusion Boundaries in Monocular Depth Estimation Using Displacement Fields
    • [cs.CV]Road Curb Detection and Localization with Monocular Forward-view Vehicle Camera
    • [cs.CV]SCALE-Net: Scalable Vehicle Trajectory Prediction Network under Random Number of Interacting Vehicles via Edge-enhanced Graph Convolutional Neural Network
    • [cs.CV]Target Detection, Tracking and Avoidance System for Low-cost UAVs using AI-Based Approaches
    • [cs.CV]Utilizing Network Properties to Detect Erroneous Inputs
    • [cs.CY]Cities as they could be: Artificial Life and Urban Systems
    • [cs.CY]Comment Ranking Diversification in Forum Discussions
    • [cs.CY]Mobile Phone Usage Data for Credit Scoring
    • [cs.DC]A Comprehensive Evaluation of RDMA-enabled Concurrency Control Protocols
    • [cs.DC]Bringing Inter-Thread Cache Benefits to Federated Scheduling — Extended Results & Technical Report
    • [cs.DC]Real time Smart Contracts for IoT using Blockchain and Collaborative Intelligence based Dynamic Pricing for the next generation Smart Toll Application
    • [cs.HC]Do ML Experts Discuss Explainability for AI Systems? A discussion case in the industry for a domain-specific solution
    • [cs.HC]Unmet Needs and Opportunities for Mobile Translation AI
    • [cs.IR]Handling Position Bias for Unbiased Learning to Rank in Hotels Search
    • [cs.IT]Decentralized Federated Learning via SGD over Wireless D2D Networks
    • [cs.IT]Deep Learning Enabled Optimization of Downlink Beamforming Under Per-Antenna Power Constraints: Algorithms and Experimental Demonstration
    • [cs.IT]Galois hulls of MDS codes and their quantum error correction
    • [cs.IT]Jamming-Robust Uplink Transmission for Spatially Correlated Massive MIMO Systems
    • [cs.IT]NP-Complete Problems for Lee Metric Codes
    • [cs.IT]Optical Fiber Channel Modeling Using Conditional Generative Adversarial Network
    • [cs.LG]AdarGCN: Adaptive Aggregation GCN for Few-Shot Learning
    • [cs.LG]An Efficient Method of Training Small Models for Regression Problems with Knowledge Distillation
    • [cs.LG]Automatic Perturbation Analysis on General Computational Graphs
    • [cs.LG]ConQUR: Mitigating Delusional Bias in Deep Q-learning
    • [cs.LG]Convolutional Spectral Kernel Learning
    • [cs.LG]DROCC: Deep Robust One-Class Classification
    • [cs.LG]Decentralized gradient methods: does topology matter?
    • [cs.LG]Do optimization methods in deep learning applications matter?
    • [cs.LG]Efficiently Guiding Imitation Learning Algorithms with Human Gaze
    • [cs.LG]Explainable $k$-Means and $k$-Medians Clustering
    • [cs.LG]Federated Over-the-Air Subspace Learning from Incomplete Data
    • [cs.LG]First Order Methods take Exponential Time to Converge to Global Minimizers of Non-Convex Functions
    • [cs.LG]Global Convergence and Geometric Characterization of Slow to Fast Weight Evolution in Neural Network Training for Classifying Linearly Non-Separable Data
    • [cs.LG]HOTCAKE: Higher Order Tucker Articulated Kernels for Deeper CNN Compression
    • [cs.LG]Learning Multivariate Hawkes Processes at Scale
    • [cs.LG]Mixed Strategies for Robust Optimization of Unknown Objectives
    • [cs.LG]On Biased Compression for Distributed Learning
    • [cs.LG]On Catastrophic Interference in Atari 2600 Games
    • [cs.LG]Quantile Regularization: Towards Implicit Calibration of Regression Models
    • [cs.LG]Reinforcement Learning in FlipIt
    • [cs.LG]Reinforcement Learning through Active Inference
    • [cs.LG]The Implicit and Explicit Regularization Effects of Dropout
    • [cs.NE]Generalized Self-Adapting Particle Swarm Optimization algorithm with archive of samples
    • [cs.NE]ImmuNetNAS: An Immune-network approach for searching Convolutional Neural Network Architectures
    • [cs.RO]Advances in centerline estimation for autonomous lateral control
    • [cs.RO]Describing Physics For Physical Reasoning: Force-based Sequential Manipulation Planning
    • [cs.RO]High Precision In-Pipe Robot Localization with Reciprocal Sensor Fusion
    • [cs.RO]Introducing a Human-like Planner for Reaching in Cluttered Environments
    • [cs.RO]Linear Features Observation Model for Autonomous Vehicle Localization
    • [cs.RO]Piecewise linear regressions for approximating distance metrics
    • [cs.RO]Probably Approximately Correct Vision-Based Planning using Motion Primitives
    • [cs.RO]REGNet: REgion-based Grasp Network for Single-shot Grasp Detection in Point Clouds
    • [cs.RO]Rationally Inattentive Path-Planning via RRT*
    • [cs.SI]A multi-layer approach to disinformation detection on Twitter
    • [cs.SI]RP-DNN: A Tweet level propagation context based deep neural networks for early rumor detection in Social Media
    • [eess.IV]Class-Specific Blind Deconvolutional Phase Retrieval Under a Generative Prior
    • [eess.IV]Regional Registration of Whole Slide Image Stacks Containing Highly Deformed Artefacts
    • [eess.IV]Review: Noise and artifact reduction for MRI using deep learning
    • [eess.SP]A Big Data Enabled Channel Model for 5G Wireless Communication Systems
    • [eess.SP]Synchronization in 5G: a Bayesian Approach
    • [eess.SP]Wind Speed Prediction using Deep Ensemble Learning with a Jet-like Architecture
    • [eess.SY]Privacy-Preserving Distributed Clustering for Electrical Load Profiling
    • [math.OC]The Landscape of Matrix Factorization Revisited
    • [math.ST]A New Procedure for Controlling False Discovery Rate in Large-Scale t-tests
    • [math.ST]A stochastic comparison study for the smallest and largest ordered statistic from Weibull-G and Gompertz Makeham distribution
    • [math.ST]Asymptotic Theory for Differentially Private Generalized $β$-models with Parameters Increasing
    • [math.ST]Information Geometry of smooth densities on the Gaussian space: Poincaré inequalities
    • [math.ST]Probabilistic Learning on Manifolds
    • [math.ST]Regression estimators for the tail index
    • [math.ST]Statistical applications of Random matrix theory: comparison of two populations II
    • [math.ST]Statistical applications of random matrix theory: comparison of two populations I
    • [math.ST]Stochastic comparison study of the general family of PHR and PRHR distributions
    • [math.ST]Usual stochastic ordering results for series and parallel systems with components having Exponentiated Chen distribution
    • [math.ST]Weighted least squares estimators for the Parzen tail index
    • [physics.comp-ph]VegasFlow: accelerating Monte Carlo simulation across multiple hardware platforms
    • [physics.soc-ph]”Do the Right Thing” for Whom? An Experiment on Ingroup Favouritism, Group Assorting and Moral Suasion
    • [q-bio.TO]Neural Network Segmentation of Interstitial Fibrosis, Tubular Atrophy, and Glomerulosclerosis in Renal Biopsies
    • [quant-ph]Quantifying daseinisation using Shannon entropy
    • [stat.AP]The Atrial Fibrillation Risk Score for Hyperthyroidism Patients
    • [stat.AP]To be or not to be? A spatial predictive crime model for Rochester
    • [stat.ME]Causal inference with limited resources: proportionally-representative interventions
    • [stat.ME]Modelling High-Dimensional Categorical Data Using Nonconvex Fusion Penalties
    • [stat.ME]Nonparametric Empirical Bayes Estimation on Heterogeneous Data
    • [stat.ML]A Deep Generative Model for Fragment-Based Molecule Generation
    • [stat.ML]Causality and Robust Optimization
    • [stat.ML]Cautious Reinforcement Learning via Distributional Risk in the Dual Domain
    • [stat.ML]Generalized Sliced Distances for Probability Distributions
    • [stat.ML]Learning Directly from Grammar Compressed Text
    • [stat.ML]Risk Bounds for Multi-layer Perceptrons through Spectra of Integral Operators
    • [stat.ML]Self-Tuning Deep Reinforcement Learning
    • [stat.ML]Spectral neighbor joining for reconstruction of latent tree models
    • [stat.ML]The estimation error of general first order methods

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

    • [cs.AI]An efficient constraint based framework forhandling floating point SMT problems
    Heytem Zitoun, Claude Michel, Laurent Michel, Michel Rueher
    http://arxiv.org/abs/2002.12441v1

    • [cs.AI]Automating the Generation of High School Geometry Proofs using Prolog in an Educational Context
    Ludovic Font, Sébastien Cyr, Philippe R. Richard, Michel Gagnon
    http://arxiv.org/abs/2002.12551v1

    • [cs.AI]Bringing freedom in variable choice when searching counter-examples in floating point programs
    Heytem Zitoun, Claude Michel, Laurent Michel, Michel Rueher
    http://arxiv.org/abs/2002.12447v1

    • [cs.AI]C-CoCoA: A Continuous Cooperative Constraint Approximation Algorithm to Solve Functional DCOPs
    Amit Sarker, Abdullahil Baki Arif, Moumita Choudhury, Md. Mosaddek Khan
    http://arxiv.org/abs/2002.12427v1

    • [cs.AI]Multi-tier Automated Planning for Adaptive Behavior (Extended Version)
    Daniel Ciolek, Nicolás D’Ippolito, Alberto Pozanco, Sebastian Sardina
    http://arxiv.org/abs/2002.12445v1

    • [cs.AI]Towards a Geometry Automated Provers Competition
    Nuno Baeta, Pedro Quaresma, Zoltán Kovács
    http://arxiv.org/abs/2002.12556v1

    • [cs.CC]Two Player Hidden Pointer Chasing and Multi-Pass Lower Bounds in Turnstile Streams
    Anay Mehrotra, Vibhor Porwal, Raghunath Tewari
    http://arxiv.org/abs/2002.12856v1

    • [cs.CL]Automatic Section Recognition in Obituaries
    Valentino Sabbatino, Laura Bostan, Roman Klinger
    http://arxiv.org/abs/2002.12699v1

    • [cs.CL]Comparison of Speech Representations for Automatic Quality Estimation in Multi-Speaker Text-to-Speech Synthesis
    Jennifer Williams, Joanna Rownicka, Pilar Oplustil, Simon King
    http://arxiv.org/abs/2002.12645v1

    • [cs.CL]DC-BERT: Decoupling Question and Document for Efficient Contextual Encoding
    Yuyu Zhang, Ping Nie, Xiubo Geng, Arun Ramamurthy, Le Song, Daxin Jiang
    http://arxiv.org/abs/2002.12591v1

    • [cs.CL]Do all Roads Lead to Rome? Understanding the Role of Initialization in Iterative Back-Translation
    Mikel Artetxe, Gorka Labaka, Noe Casas, Eneko Agirre
    http://arxiv.org/abs/2002.12867v1

    • [cs.CL]Metaphoric Paraphrase Generation
    Kevin Stowe, Leonardo Ribeiro, Iryna Gurevych
    http://arxiv.org/abs/2002.12854v1

    • [cs.CL]Modeling Future Cost for Neural Machine Translation
    Chaoqun Duan, Kehai Chen, Rui Wang, Masao Utiyama, Eiichiro Sumita, Conghui Zhu, Tiejun Zhao
    http://arxiv.org/abs/2002.12558v1

    • [cs.CL]Robust Unsupervised Neural Machine Translation with Adversarial Training
    Haipeng Sun, Rui Wang, Kehai Chen, Masao Utiyama, Eiichiro Sumita, Tiejun Zhao
    http://arxiv.org/abs/2002.12549v1

    • [cs.CL]Temporal Convolutional Attention-based Network For Sequence Modeling
    Hongyan Hao, Yan Wang, Yudi Xia, Jian Zhao, Furao Shen
    http://arxiv.org/abs/2002.12530v1

    • [cs.CL]TextBrewer: An Open-Source Knowledge Distillation Toolkit for Natural Language Processing
    Ziqing Yang, Yiming Cui, Zhipeng Chen, Wanxiang Che, Ting Liu, Shijin Wang, Guoping Hu
    http://arxiv.org/abs/2002.12620v1

    • [cs.CL]UKARA 1.0 Challenge Track 1: Automatic Short-Answer Scoring in Bahasa Indonesia
    Ali Akbar Septiandri, Yosef Ardhito Winatmoko
    http://arxiv.org/abs/2002.12540v1

    • [cs.CL]UniLMv2: Pseudo-Masked Language Models for Unified Language Model Pre-Training
    Hangbo Bao, Li Dong, Furu Wei, Wenhui Wang, Nan Yang, Xiaodong Liu, Yu Wang, Songhao Piao, Jianfeng Gao, Ming Zhou, Hsiao-Wuen Hon
    http://arxiv.org/abs/2002.12804v1

    • [cs.CV]4D Association Graph for Realtime Multi-person Motion Capture Using Multiple Video Cameras
    Yuxiang Zhang, Liang An, Tao Yu, Xiu Li, Kun Li, Yebin Liu
    http://arxiv.org/abs/2002.12625v1

    • [cs.CV]A Multi-Hypothesis Classification Approach to Color Constancy
    Daniel Hernandez-Juarez, Sarah Parisot, Benjamin Busam, Ales Leonardis, Gregory Slabaugh, Steven McDonagh
    http://arxiv.org/abs/2002.12896v1

    • [cs.CV]A Spatiotemporal Volumetric Interpolation Network for 4D Dynamic Medical Image
    Yuyu Guo, Lei Bi, Euijoon Ahn, Dagan Feng, Qian Wang, Jinman Kim
    http://arxiv.org/abs/2002.12680v1

    • [cs.CV]A U-Net Based Discriminator for Generative Adversarial Networks
    Edgar Schönfeld, Bernt Schiele, Anna Khoreva
    http://arxiv.org/abs/2002.12655v1

    • [cs.CV]A Video Analysis Method on Wanfang Dataset via Deep Neural Network
    Jinlong Kang, Jiaxiang Zheng, Heng Bai, Xiaoting Xue, Yang Zhou, Jun Guo
    http://arxiv.org/abs/2002.12535v1

    • [cs.CV]Applying Tensor Decomposition to image for Robustness against Adversarial Attack
    Seungju Cho, Tae Joon Jun, Mingu Kang
    http://arxiv.org/abs/2002.12913v1

    • [cs.CV]Automated classification of stems and leaves of potted plants based on point cloud data
    Zichu Liu, Qing Zhang, Pei Wang, Zhen Li, Huiru Wang
    http://arxiv.org/abs/2002.12536v1

    • [cs.CV]Cross-modality Person re-identification with Shared-Specific Feature Transfer
    Yan Lu, Yue Wu, Bin Liu, Tianzhu Zhang, Baopu Li, Qi Chu, Nenghai Yu
    http://arxiv.org/abs/2002.12489v1

    • [cs.CV]DGST : Discriminator Guided Scene Text detector
    Jinyuan Zhao, Yanna Wang, Baihua Xiao, Cunzhao Shi, Fuxi Jia, Chunheng Wang
    http://arxiv.org/abs/2002.12509v1

    • [cs.CV]Detecting Patch Adversarial Attacks with Image Residuals
    Marius Arvinte, Ahmed Tewfik, Sriram Vishwanath
    http://arxiv.org/abs/2002.12504v1

    • [cs.CV]Detecting and Recovering Adversarial Examples: An Input Sensitivity Guided Method
    Mingxuan Li, Jingyuan Wang, Yufan Wu, Shuchang Zhou
    http://arxiv.org/abs/2002.12527v1

    • [cs.CV]Exploring and Distilling Cross-Modal Information for Image Captioning
    Fenglin Liu, Xuancheng Ren, Yuanxin Liu, Kai Lei, Xu Sun
    http://arxiv.org/abs/2002.12585v1

    • [cs.CV]Hand-Priming in Object Localization for Assistive Egocentric Vision
    Kyungjun Lee, Abhinav Shrivastava, Hernisa Kacorri
    http://arxiv.org/abs/2002.12557v1

    • [cs.CV]Indoor Scene Recognition in 3D
    Shengyu Huang, Mikhail Usvyatsov, Konrad Schindler
    http://arxiv.org/abs/2002.12819v1

    • [cs.CV]Infrared and 3D skeleton feature fusion for RGB-D action recognition
    Alban Main de Boissiere, Rita Noumeir
    http://arxiv.org/abs/2002.12886v1

    • [cs.CV]Inverse Graphics GAN: Learning to Generate 3D Shapes from Unstructured 2D Data
    Sebastian Lunz, Yingzhen Li, Andrew Fitzgibbon, Nate Kushman
    http://arxiv.org/abs/2002.12674v1

    • [cs.CV]KeypointNet: A Large-scale 3D Keypoint Dataset Aggregated from Numerous Human Annotations
    Yang You, Yujing Lou, Chengkun Li, Zhoujun Cheng, Liangwei Li, Lizhuang Ma, Cewu Lu, Weiming Wang
    http://arxiv.org/abs/2002.12687v1

    • [cs.CV]MANet: Multimodal Attention Network based Point- View fusion for 3D Shape Recognition
    Yaxin Zhao, Jichao Jiao, Tangkun Zhang
    http://arxiv.org/abs/2002.12573v1

    • [cs.CV]MINA: Convex Mixed-Integer Programming for Non-Rigid Shape Alignment
    Florian Bernard, Zeeshan Khan Suri, Christian Theobalt
    http://arxiv.org/abs/2002.12623v1

    • [cs.CV]MNN: A Universal and Efficient Inference Engine
    Xiaotang Jiang, Huan Wang, Yiliu Chen, Ziqi Wu, Lichuan Wang, Bin Zou, Yafeng Yang, Zongyang Cui, Yu Cai, Tianhang Yu, Chengfei Lv, Zhihua Wu
    http://arxiv.org/abs/2002.12418v1

    • [cs.CV]Neural Inheritance Relation Guided One-Shot Layer Assignment Search
    Rang Meng, Weijie Chen, Di Xie, Yuan Zhang, Shiliang Pu
    http://arxiv.org/abs/2002.12580v1

    • [cs.CV]Predicting Sharp and Accurate Occlusion Boundaries in Monocular Depth Estimation Using Displacement Fields
    Michael Ramamonjisoa, Yuming Du, Vincent Lepetit
    http://arxiv.org/abs/2002.12730v1

    • [cs.CV]Road Curb Detection and Localization with Monocular Forward-view Vehicle Camera
    Stanislav Panev, Francisco Vicente, Fernando De la Torre, Véronique Prinet
    http://arxiv.org/abs/2002.12492v1

    • [cs.CV]SCALE-Net: Scalable Vehicle Trajectory Prediction Network under Random Number of Interacting Vehicles via Edge-enhanced Graph Convolutional Neural Network
    Hyeongseok Jeon, Junwon Choi, Dongsuk Kum
    http://arxiv.org/abs/2002.12609v1

    • [cs.CV]Target Detection, Tracking and Avoidance System for Low-cost UAVs using AI-Based Approaches
    Vinorth Varatharasan, Alice Shuang Shuang Rao, Eric Toutounji, Ju-Hyeon Hong, Hyo-Sang Shin
    http://arxiv.org/abs/2002.12461v1

    • [cs.CV]Utilizing Network Properties to Detect Erroneous Inputs
    Matt Gorbett, Nathaniel Blanchard
    http://arxiv.org/abs/2002.12520v1

    • [cs.CY]Cities as they could be: Artificial Life and Urban Systems
    Juste Raimbault
    http://arxiv.org/abs/2002.12926v1

    • [cs.CY]Comment Ranking Diversification in Forum Discussions
    Curtis G. Northcutt, Kimberly A. Leon, Naichun Chen
    http://arxiv.org/abs/2002.12457v1

    • [cs.CY]Mobile Phone Usage Data for Credit Scoring
    Henri Ots, Innar Liiv, Diana Tur
    http://arxiv.org/abs/2002.12616v1

    • [cs.DC]A Comprehensive Evaluation of RDMA-enabled Concurrency Control Protocols
    Chao Wang, Kezhao Huang, Xuehai Qian
    http://arxiv.org/abs/2002.12664v1

    • [cs.DC]Bringing Inter-Thread Cache Benefits to Federated Scheduling — Extended Results & Technical Report
    Corey Tessler, Venkata P. Modekurthy, Nathan Fisher, Abusayeed Saifullah
    http://arxiv.org/abs/2002.12516v1

    • [cs.DC]Real time Smart Contracts for IoT using Blockchain and Collaborative Intelligence based Dynamic Pricing for the next generation Smart Toll Application
    Misha Abraham, Himajit Aithal, Krishnan Mohan
    http://arxiv.org/abs/2002.12654v1

    • [cs.HC]Do ML Experts Discuss Explainability for AI Systems? A discussion case in the industry for a domain-specific solution
    Juliana Jansen Ferreira, Mateus de Souza Monteiro
    http://arxiv.org/abs/2002.12450v1

    • [cs.HC]Unmet Needs and Opportunities for Mobile Translation AI
    Daniel J. Liebling, Michal Lahav, Abigail Evans, Aaron Donsbach, Jess Holbrook, Boris Smus, Lindsey Boran
    http://arxiv.org/abs/2002.12387v1

    • [cs.IR]Handling Position Bias for Unbiased Learning to Rank in Hotels Search
    Yinxiao Li
    http://arxiv.org/abs/2002.12528v1

    • [cs.IT]Decentralized Federated Learning via SGD over Wireless D2D Networks
    Hong Xing, Osvaldo Simeone, Suzhi Bi
    http://arxiv.org/abs/2002.12507v1

    • [cs.IT]Deep Learning Enabled Optimization of Downlink Beamforming Under Per-Antenna Power Constraints: Algorithms and Experimental Demonstration
    Juping Zhang, Wenchao Xia, Minglei You, Gan Zheng, Sangarapillai Lambotharan, Kai-Kit Wong
    http://arxiv.org/abs/2002.12589v1

    • [cs.IT]Galois hulls of MDS codes and their quantum error correction
    Meng Cao
    http://arxiv.org/abs/2002.12892v1

    • [cs.IT]Jamming-Robust Uplink Transmission for Spatially Correlated Massive MIMO Systems
    Hossein Akhlaghpasand, Emil Björnson, S. Mohammad Razavizadeh
    http://arxiv.org/abs/2002.12581v1

    • [cs.IT]NP-Complete Problems for Lee Metric Codes
    Violetta Weger, Paolo Santini, Massimo Battaglioni, Anna-Lena Horlemann-Trautmann
    http://arxiv.org/abs/2002.12785v1

    • [cs.IT]Optical Fiber Channel Modeling Using Conditional Generative Adversarial Network
    Hang Yang, Zekun Niu, Lilin Yi, Shilin Xiao
    http://arxiv.org/abs/2002.12648v1

    • [cs.LG]AdarGCN: Adaptive Aggregation GCN for Few-Shot Learning
    Jianhong Zhang, Manli Zhang, Zhiwu Lu, Tao Xiang, Jirong Wen
    http://arxiv.org/abs/2002.12641v1

    • [cs.LG]An Efficient Method of Training Small Models for Regression Problems with Knowledge Distillation
    Makoto Takamoto, Yusuke Morishita, Hitoshi Imaoka
    http://arxiv.org/abs/2002.12597v1

    • [cs.LG]Automatic Perturbation Analysis on General Computational Graphs
    Kaidi Xu, Zhouxing Shi, Huan Zhang, Minlie Huang, Kai-Wei Chang, Bhavya Kailkhura, Xue Lin, Cho-Jui Hsieh
    http://arxiv.org/abs/2002.12920v1

    • [cs.LG]ConQUR: Mitigating Delusional Bias in Deep Q-learning
    Andy Su, Jayden Ooi, Tyler Lu, Dale Schuurmans, Craig Boutilier
    http://arxiv.org/abs/2002.12399v1

    • [cs.LG]Convolutional Spectral Kernel Learning
    Jian Li, Yong Liu, Weiping Wang
    http://arxiv.org/abs/2002.12744v1

    • [cs.LG]DROCC: Deep Robust One-Class Classification
    Sachin Goyal, Aditi Raghunathan, Moksh Jain, Harsha Vardhan Simhadri, Prateek Jain
    http://arxiv.org/abs/2002.12718v1

    • [cs.LG]Decentralized gradient methods: does topology matter?
    Giovanni Neglia, Chuan Xu, Don Towsley, Gianmarco Calbi
    http://arxiv.org/abs/2002.12688v1

    • [cs.LG]Do optimization methods in deep learning applications matter?
    Buse Melis Ozyildirim, Mariam Kiran
    http://arxiv.org/abs/2002.12642v1

    • [cs.LG]Efficiently Guiding Imitation Learning Algorithms with Human Gaze
    Akanksha Saran, Ruohan Zhang, Elaine Schaertl Short, Scott Niekum
    http://arxiv.org/abs/2002.12500v1

    • [cs.LG]Explainable $k$-Means and $k$-Medians Clustering
    Sanjoy Dasgupta, Nave Frost, Michal Moshkovitz, Cyrus Rashtchian
    http://arxiv.org/abs/2002.12538v1

    • [cs.LG]Federated Over-the-Air Subspace Learning from Incomplete Data
    Praneeth Narayanamurthy, Namrata Vaswani, Aditya Ramamoorthy
    http://arxiv.org/abs/2002.12873v1

    • [cs.LG]First Order Methods take Exponential Time to Converge to Global Minimizers of Non-Convex Functions
    Krishna Reddy Kesari, Jean Honorio
    http://arxiv.org/abs/2002.12911v1

    • [cs.LG]Global Convergence and Geometric Characterization of Slow to Fast Weight Evolution in Neural Network Training for Classifying Linearly Non-Separable Data
    Ziang Long, Penghang Yin, Jack Xin
    http://arxiv.org/abs/2002.12563v1

    • [cs.LG]HOTCAKE: Higher Order Tucker Articulated Kernels for Deeper CNN Compression
    Rui Lin, Ching-Yun Ko, Zhuolun He, Cong Chen, Yuan Cheng, Hao Yu, Graziano Chesi, Ngai Wong
    http://arxiv.org/abs/2002.12663v1

    • [cs.LG]Learning Multivariate Hawkes Processes at Scale
    Maximilian Nickel, Matthew Le
    http://arxiv.org/abs/2002.12501v1

    • [cs.LG]Mixed Strategies for Robust Optimization of Unknown Objectives
    Pier Giuseppe Sessa, Ilija Bogunovic, Maryam Kamgarpour, Andreas Krause
    http://arxiv.org/abs/2002.12613v1

    • [cs.LG]On Biased Compression for Distributed Learning
    Aleksandr Beznosikov, Samuel Horváth, Peter Richtárik, Mher Safaryan
    http://arxiv.org/abs/2002.12410v1

    • [cs.LG]On Catastrophic Interference in Atari 2600 Games
    William Fedus, Dibya Ghosh, John D. Martin, Marc G. Bellemare, Yoshua Bengio, Hugo Larochelle
    http://arxiv.org/abs/2002.12499v1

    • [cs.LG]Quantile Regularization: Towards Implicit Calibration of Regression Models
    Saiteja Utpala, Piyush Rai
    http://arxiv.org/abs/2002.12860v1

    • [cs.LG]Reinforcement Learning in FlipIt
    Laura Greige, Peter Chin
    http://arxiv.org/abs/2002.12909v1

    • [cs.LG]Reinforcement Learning through Active Inference
    Alexander Tschantz, Beren Millidge, Anil K. Seth, Christopher L. Buckley
    http://arxiv.org/abs/2002.12636v1

    • [cs.LG]The Implicit and Explicit Regularization Effects of Dropout
    Colin Wei, Sham Kakade, Tengyu Ma
    http://arxiv.org/abs/2002.12915v1

    • [cs.NE]Generalized Self-Adapting Particle Swarm Optimization algorithm with archive of samples
    Michał Okulewicz, Mateusz Zaborski, Jacek Mańdziuk
    http://arxiv.org/abs/2002.12485v1

    • [cs.NE]ImmuNetNAS: An Immune-network approach for searching Convolutional Neural Network Architectures
    Kefan Chen, Wei Pang
    http://arxiv.org/abs/2002.12704v1

    • [cs.RO]Advances in centerline estimation for autonomous lateral control
    Paolo Cudrano, Simone Mentasti, Matteo Matteucci, Mattia Bersani, Stefano Arrigoni, Federico Cheli
    http://arxiv.org/abs/2002.12685v1

    • [cs.RO]Describing Physics For Physical Reasoning: Force-based Sequential Manipulation Planning
    Marc Toussaint, Jung-Su Ha, Danny Driess
    http://arxiv.org/abs/2002.12780v1

    • [cs.RO]High Precision In-Pipe Robot Localization with Reciprocal Sensor Fusion
    Dapeng Zhao, William Whittaker
    http://arxiv.org/abs/2002.12408v1

    • [cs.RO]Introducing a Human-like Planner for Reaching in Cluttered Environments
    Mohamed Hasan, Matthew Warburton, Wisdom C. Agboh, Mehmet R. Dogar, Matteo Leonetti, He Wang, Faisal Mushtaq, Mark Mon-Williams, Anthony G. Cohn
    http://arxiv.org/abs/2002.12738v1

    • [cs.RO]Linear Features Observation Model for Autonomous Vehicle Localization
    Oleg Shipitko, Vladislav Kibalov, Maxim Abramov
    http://arxiv.org/abs/2002.12731v1

    • [cs.RO]Piecewise linear regressions for approximating distance metrics
    Josiah Putman, Lisa Oh, Luyang Zhao, Evan Honnold, Galen Brown, Weifu Wang, Devin Balkcom
    http://arxiv.org/abs/2002.12466v1

    • [cs.RO]Probably Approximately Correct Vision-Based Planning using Motion Primitives
    Sushant Veer, Anirudha Majumdar
    http://arxiv.org/abs/2002.12852v1

    • [cs.RO]REGNet: REgion-based Grasp Network for Single-shot Grasp Detection in Point Clouds
    Binglei Zhao, Hanbo Zhang, Xuguang Lan, Haoyu Wang, Zhiqiang Tian, Nanning Zheng
    http://arxiv.org/abs/2002.12647v1

    • [cs.RO]Rationally Inattentive Path-Planning via RRT*
    Jeb Stefan, Ali Reza Pedram, Riku Funada, Takashi Tanaka
    http://arxiv.org/abs/2002.12494v1

    • [cs.SI]A multi-layer approach to disinformation detection on Twitter
    Francesco Pierri, Carlo Piccardi, Stefano Ceri
    http://arxiv.org/abs/2002.12612v1

    • [cs.SI]RP-DNN: A Tweet level propagation context based deep neural networks for early rumor detection in Social Media
    Jie Gao, Sooji Han, Xingyi Song, Fabio Ciravegna
    http://arxiv.org/abs/2002.12683v1

    • [eess.IV]Class-Specific Blind Deconvolutional Phase Retrieval Under a Generative Prior
    Fahad Shamshad, Ali Ahmed
    http://arxiv.org/abs/2002.12578v1

    • [eess.IV]Regional Registration of Whole Slide Image Stacks Containing Highly Deformed Artefacts
    Mahsa Paknezhad, Sheng Yang Michael Loh, Yukti Choudhury, Valerie Koh Cui Koh, TimothyTay Kwang Yong, Hui Shan Tan, Ravindran Kanesvaran, Puay Hoon Tan, John Yuen Shyi Peng, Weimiao Yu, Yongcheng Benjamin Tan, Yong Zhen Loy, Min-Han Tan, Hwee Kuan Lee
    http://arxiv.org/abs/2002.12588v1

    • [eess.IV]Review: Noise and artifact reduction for MRI using deep learning
    Daiki Tamada
    http://arxiv.org/abs/2002.12889v1

    • [eess.SP]A Big Data Enabled Channel Model for 5G Wireless Communication Systems
    Jie Huang, Cheng-Xiang Wang, Lu Bai, Jian Sun, Yang Yang, Jie Li, Olav Tirkkonen, Ming-Tuo Zhou
    http://arxiv.org/abs/2002.12561v1

    • [eess.SP]Synchronization in 5G: a Bayesian Approach
    M. Goodarzi, D. Cvetkovski, N. Maletic, J. Gutierrez, E. Grass
    http://arxiv.org/abs/2002.12660v1

    • [eess.SP]Wind Speed Prediction using Deep Ensemble Learning with a Jet-like Architecture
    Aqsa Saeed Qureshi, Asifullah Khan
    http://arxiv.org/abs/2002.12592v1

    • [eess.SY]Privacy-Preserving Distributed Clustering for Electrical Load Profiling
    Mengshuo Jia, Yi Wang, Chen Shen, Gabriela Hug
    http://arxiv.org/abs/2002.12769v1

    • [math.OC]The Landscape of Matrix Factorization Revisited
    Hossein Valavi, Sulin Liu, Peter J. Ramadge
    http://arxiv.org/abs/2002.12795v1

    • [math.ST]A New Procedure for Controlling False Discovery Rate in Large-Scale t-tests
    Changliang Zou, Haojie Ren, Xu Guo, Runze Li
    http://arxiv.org/abs/2002.12548v1

    • [math.ST]A stochastic comparison study for the smallest and largest ordered statistic from Weibull-G and Gompertz Makeham distribution
    Madhurima Datta, Nitin Gupta
    http://arxiv.org/abs/2002.12474v1

    • [math.ST]Asymptotic Theory for Differentially Private Generalized $β$-models with Parameters Increasing
    Yifan Fan, Huiming Zhang, Ting Yan
    http://arxiv.org/abs/2002.12733v1

    • [math.ST]Information Geometry of smooth densities on the Gaussian space: Poincaré inequalities
    Giovanni Pistone
    http://arxiv.org/abs/2002.12871v1

    • [math.ST]Probabilistic Learning on Manifolds
    Christian Soize, Roger Ghanem
    http://arxiv.org/abs/2002.12653v1

    • [math.ST]Regression estimators for the tail index
    Amenah AL-Najafi, László Viharos
    http://arxiv.org/abs/2002.12634v1

    • [math.ST]Statistical applications of Random matrix theory: comparison of two populations II
    Rémy Mariétan, Stephan Morgenthaler
    http://arxiv.org/abs/2002.12703v1

    • [math.ST]Statistical applications of random matrix theory: comparison of two populations I
    Rémy Mariétan, Stephan Morgenthaler
    http://arxiv.org/abs/2002.12741v1

    • [math.ST]Stochastic comparison study of the general family of PHR and PRHR distributions
    Madhurima Datta, Nitin Gupta
    http://arxiv.org/abs/2002.12436v1

    • [math.ST]Usual stochastic ordering results for series and parallel systems with components having Exponentiated Chen distribution
    Madhurima Datta, Nitin Gupta
    http://arxiv.org/abs/2002.12468v1

    • [math.ST]Weighted least squares estimators for the Parzen tail index
    Amenah AL-Najafi, László Viharos
    http://arxiv.org/abs/2002.12631v1

    • [physics.comp-ph]VegasFlow: accelerating Monte Carlo simulation across multiple hardware platforms
    Stefano Carrazza, Juan M. Cruz-Martinez
    http://arxiv.org/abs/2002.12921v1

    • [physics.soc-ph]“Do the Right Thing” for Whom? An Experiment on Ingroup Favouritism, Group Assorting and Moral Suasion
    Ennio Bilancini, Leonardo Boncinelli, Valerio Capraro, Tatiana Celadin, Roberto Di Paolo
    http://arxiv.org/abs/2002.12464v1

    • [q-bio.TO]Neural Network Segmentation of Interstitial Fibrosis, Tubular Atrophy, and Glomerulosclerosis in Renal Biopsies
    Brandon Ginley, Kuang-Yu Jen, Avi Rosenberg, Felicia Yen, Sanjay Jain, Agnes Fogo, Pinaki Sarder
    http://arxiv.org/abs/2002.12868v1

    • [quant-ph]Quantifying daseinisation using Shannon entropy
    Roman Zapatrin
    http://arxiv.org/abs/2002.12456v1

    • [stat.AP]The Atrial Fibrillation Risk Score for Hyperthyroidism Patients
    Ilya V. Derevitskii, Daria A. Savitskaya, Alina Y. Babenko, Sergey V. Kovalchuk
    http://arxiv.org/abs/2002.12632v1

    • [stat.AP]To be or not to be? A spatial predictive crime model for Rochester
    Ankani Chattoraj, Rupam Acharyya, Sabyasachi Shivkumar, Md Iftekar Tanveer, Mohammad Rafayet Ali
    http://arxiv.org/abs/2002.12721v1

    • [stat.ME]Causal inference with limited resources: proportionally-representative interventions
    Aaron L. Sarvet, Kerollos N. Wanis, Jessica Young, Roberto Hernandez-Alejandro, Miguel A. Hernán, Mats J. Stensrud
    http://arxiv.org/abs/2002.11846v2

    • [stat.ME]Modelling High-Dimensional Categorical Data Using Nonconvex Fusion Penalties
    Benjamin G. Stokell, Rajen D. Shah, Ryan J. Tibshirani
    http://arxiv.org/abs/2002.12606v1

    • [stat.ME]Nonparametric Empirical Bayes Estimation on Heterogeneous Data
    Luella J. Fu, Wenguang Sun, Gareth M. James
    http://arxiv.org/abs/2002.12586v1

    • [stat.ML]A Deep Generative Model for Fragment-Based Molecule Generation
    Marco Podda, Davide Bacciu, Alessio Micheli
    http://arxiv.org/abs/2002.12826v1

    • [stat.ML]Causality and Robust Optimization
    Akihiro Yabe
    http://arxiv.org/abs/2002.12626v1

    • [stat.ML]Cautious Reinforcement Learning via Distributional Risk in the Dual Domain
    Junyu Zhang, Amrit Singh Bedi, Mengdi Wang, Alec Koppel
    http://arxiv.org/abs/2002.12475v1

    • [stat.ML]Generalized Sliced Distances for Probability Distributions
    Soheil Kolouri, Kimia Nadjahi, Umut Simsekli, Shahin Shahrampour
    http://arxiv.org/abs/2002.12537v1

    • [stat.ML]Learning Directly from Grammar Compressed Text
    Yoichi Sasaki, Kosuke Akimoto, Takanori Maehara
    http://arxiv.org/abs/2002.12570v1

    • [stat.ML]Risk Bounds for Multi-layer Perceptrons through Spectra of Integral Operators
    Meyer Scetbon, Zaid Harchaoui
    http://arxiv.org/abs/2002.12640v1

    • [stat.ML]Self-Tuning Deep Reinforcement Learning
    Tom Zahavy, Zhongwen Xu, Vivek Veeriah, Matteo Hessel, Hado Van Hasslet, David Silver, Satinder Singh
    http://arxiv.org/abs/2002.12928v1

    • [stat.ML]Spectral neighbor joining for reconstruction of latent tree models
    Ariel Jaffe, Noah Amsel, Boaz Nadler, Joseph T. Chang, Yuval Kluger
    http://arxiv.org/abs/2002.12547v1

    • [stat.ML]The estimation error of general first order methods
    Michael Celentano, Andrea Montanari, Yuchen Wu
    http://arxiv.org/abs/2002.12903v1