cs.AI - 人工智能

    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 eess.AS - 语音处理 eess.IV - 图像与视频处理 math.RA - 环与代数 math.ST - 统计理论 physics.soc-ph - 物理学与社会 q-bio.GN - 基因组学 q-bio.QM - 定量方法 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [cs.AI]Intentional Computational Level Design
    • [cs.AI]Making Meaning: Semiotics Within Predictive Knowledge Architectures
    • [cs.AI]The Seventh Answer Set Programming Competition: Design and Results
    • [cs.CL]Beto, Bentz, Becas: The Surprising Cross-Lingual Effectiveness of BERT
    • [cs.CL]Code-Switching for Enhancing NMT with Pre-Specified Translation
    • [cs.CL]ERNIE: Enhanced Representation through Knowledge Integration
    • [cs.CL]Identifying Offensive Posts and Targeted Offense from Twitter
    • [cs.CL]Learning Programmatic Idioms for Scalable Semantic Parsing
    • [cs.CL]No Permanent Friends or Enemies: Tracking Relationships between Nations from News
    • [cs.CL]OpenTapioca: Lightweight Entity Linking for Wikidata
    • [cs.CL]Query-focused Sentence Compression in Linear Time
    • [cs.CL]Recognizing the vocabulary of Brazilian popular newspapers with a free-access computational dictionary
    • [cs.CL]Suggestion Mining from Online Reviews using ULMFiT
    • [cs.CL]Unifying Question Answering and Text Classification via Span Extraction
    • [cs.CL]Zero-Shot Cross-Lingual Opinion Target Extraction
    • [cs.CV]A Novel BiLevel Paradigm for Image-to-Image Translation
    • [cs.CV]A Scalable Handwritten Text Recognition System
    • [cs.CV]A deep learning based solution for construction equipment detection: from development to deployment
    • [cs.CV]AMNet: Deep Atrous Multiscale Stereo Disparity Estimation Networks
    • [cs.CV]Advanced Deep Convolutional Neural Network Approaches for Digital Pathology Image Analysis: a comprehensive evaluation with different use cases
    • [cs.CV]Assessing the Sharpness of Satellite Images: Study of the PlanetScope Constellation
    • [cs.CV]Automated Focal Loss for Image based Object Detection
    • [cs.CV]Automated Segmentation of Pulmonary Lobes using Coordination-Guided Deep Neural Networks
    • [cs.CV]Deep Likelihood Network for Image Restoration with Multiple Degradations
    • [cs.CV]Deep Q Learning Driven CT Pancreas Segmentation with Geometry-Aware U-Net
    • [cs.CV]Efficient Blind Deblurring under High Noise Levels
    • [cs.CV]Exploring the Limitations of Behavior Cloning for Autonomous Driving
    • [cs.CV]Fashion++: Minimal Edits for Outfit Improvement
    • [cs.CV]Feature Forwarding for Efficient Single Image Dehazing
    • [cs.CV]Feature Fusion for Online Mutual Knowledge Distillation
    • [cs.CV]Human Motion Prediction via Pattern Completion in Latent Representation Space
    • [cs.CV]Integrating Text and Image: Determining Multimodal Document Intent in Instagram Posts
    • [cs.CV]LATTE: Accelerating LiDAR Point Cloud Annotation via Sensor Fusion, One-Click Annotation, and Tracking
    • [cs.CV]Listen to the Image
    • [cs.CV]Realistic Hair Simulation Using Image Blending
    • [cs.CV]STEP: Spatio-Temporal Progressive Learning for Video Action Detection
    • [cs.CV]Salient Object Detection in the Deep Learning Era: An In-Depth Survey
    • [cs.CV]SelFlow: Self-Supervised Learning of Optical Flow
    • [cs.CV]Self-Supervised Audio-Visual Co-Segmentation
    • [cs.CV]Simple yet efficient real-time pose-based action recognition
    • [cs.CV]Video Object Segmentation and Tracking: A Survey
    • [cs.CV]Visualizing the decision-making process in deep neural decision forest
    • [cs.CV]Weakly Supervised Adversarial Domain Adaptation for Semantic Segmentation in Urban Scenes
    • [cs.CV]XLSor: A Robust and Accurate Lung Segmentor on Chest X-Rays Using Criss-Cross Attention and Customized Radiorealistic Abnormalities Generation
    • [cs.CY]#Cyberbullying in the digital age: People’s perspective and information sharing behavior on Twitter
    • [cs.CY]School management information systems: Challenges to educational decision-making in the big data era
    • [cs.DC]Data Races and the Discrete Resource-time Tradeoff Problem with Resource Reuse over Paths
    • [cs.DC]HEPCloud, an Elastic Hybrid HEP Facility using an Intelligent Decision Support System
    • [cs.DC]Harmonia: Near-Linear Scalability for Replicated Storage with In-Network Conflict Detection
    • [cs.HC]NNVA: Neural Network Assisted Visual Analysis of Yeast Cell Polarization Simulation
    • [cs.IR]A Hybrid Retrieval-Generation Neural Conversation Model
    • [cs.IR]Critically Examining the “Neural Hype”: Weak Baselines and the Additivity of Effectiveness Gains from Neural Ranking Models
    • [cs.IT]Non-Stationary Polar Codes for Resistive Memories
    • [cs.IT]Reconstruction and Error-Correction Codes for Polymer-Based Data Storage
    • [cs.IT]Transfer Entropy: where Shannon meets Turing
    • [cs.LG]Analyzing the benefits of communication channels between deep learning models
    • [cs.LG]Data Augmentation Using GANs
    • [cs.LG]EmbraceNet: A robust deep learning architecture for multimodal classification
    • [cs.LG]Emergence of Compositional Language with Deep Generational Transmission
    • [cs.LG]Graph Element Networks: adaptive, structured computation and memory
    • [cs.LG]Hierarchical Meta Learning
    • [cs.LG]Implicit regularization for deep neural networks driven by an Ornstein-Uhlenbeck like process
    • [cs.LG]Knowledge Distillation via Route Constrained Optimization
    • [cs.LG]Machine learning for early prediction of circulatory failure in the intensive care unit
    • [cs.LG]On the Convergence of Adam and Beyond
    • [cs.LG]Online Active Learning: Label Complexity vs. Classification Errors
    • [cs.LG]Optimal initialization of K-means using Particle Swarm Optimization
    • [cs.LG]Playgol: learning programs through play
    • [cs.LG]ProductNet: a Collection of High-Quality Datasets for Product Representation Learning
    • [cs.LG]Reliable Multi-label Classification: Prediction with Partial Abstention
    • [cs.LG]SSRGD: Simple Stochastic Recursive Gradient Descent for Escaping Saddle Points
    • [cs.LG]Semi-bandit Optimization in the Dispersed Setting
    • [cs.LG]Shallow Neural Network can Perfectly Classify an Object following Separable Probability Distribution
    • [cs.LG]Uncertainty about Uncertainty: Near-Optimal Adaptive Algorithms for Estimating Binary Mixtures of Unknown Coins
    • [cs.LG]Understanding Neural Networks via Feature Visualization: A survey
    • [cs.LG]When is a Prediction Knowledge?
    • [cs.NE]Epistasis-based Basis Estimation Method for Simplifying the Problem Space of an Evolutionary Search in Binary Representation
    • [cs.NE]Runtime Analysis of the Univariate Marginal Distribution Algorithm under Low Selective Pressure and Prior Noise
    • [cs.NE]SCANN: Synthesis of Compact and Accurate Neural Networks
    • [cs.RO]Body Lift and Drag for a Legged Millirobot in Compliant Beam Environment
    • [cs.RO]Contact-Aided Invariant Extended Kalman Filtering for Robot State Estimation
    • [cs.RO]DeepLocalization: Landmark-based Self-Localization with Deep Neural Networks
    • [cs.RO]Enabling Socially Competent navigation through incorporating HRI
    • [cs.RO]Geographical Map Registration and Fusion of Lidar-Aerial Orthoimagery in GIS
    • [cs.RO]Learning Manipulation Skills Via Hierarchical Spatial Attention
    • [cs.RO]Secure and secret cooperation of robotic swarms by using Merkle trees
    • [eess.AS]Dry, Focus, and Transcribe: End-to-End Integration of Dereverberation, Beamforming, and ASR
    • [eess.IV]Semi-Supervised First-Person Activity Recognition in Body-Worn Video
    • [math.RA]Intersection property and interaction decomposition
    • [math.ST]Adaptive Huber Regression on Markov-dependent Data
    • [math.ST]Optimal Recovery of Mahalanobis Distance in High Dimension
    • [math.ST]Square-root nuclear norm penalized estimator for panel data models with approximately low-rank unobserved heterogeneity
    • [physics.soc-ph]A Model for the Influence of Media on the Ideology of Content in Online Social Networks
    • [q-bio.GN]Testing for differential abundance in compositional counts data, with application to microbiome studies
    • [q-bio.QM]Random Fragments Classification of Microbial Marker Clades with Multi-class SVM and N-Best Algorithm
    • [stat.AP]A comparison of statistical and machine learning methods for creating national daily maps of ambient PM$_{2.5}$ concentration
    • [stat.AP]An Alternative Data-Driven Prediction Approach Based on Real Option Theories
    • [stat.AP]Online Non-stationary Time Series Analysis and Processing
    • [stat.AP]Safety-margin-based design and redesign considering mixed epistemic model uncertainty and aleatory parameter uncertainty
    • [stat.ME]Landmark Proportional Subdistribution Hazards Models for Dynamic Prediction of Cumulative Incidence Functions
    • [stat.ME]Simulation-based Value-at-Risk for Nonlinear Portfolios
    • [stat.ML]Causal Discovery with General Non-Linear Relationships Using Non-Linear ICA
    • [stat.ML]Risk Convergence of Centered Kernel Ridge Regression with Large Dimensional Data

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    • [cs.AI]Intentional Computational Level Design
    Ahmed Khalifa, Michael Cerny Green, Gabriella Barros, Julian Togelius
    http://arxiv.org/abs/1904.08972v1

    • [cs.AI]Making Meaning: Semiotics Within Predictive Knowledge Architectures
    Alex Kearney, Oliver Oxton
    http://arxiv.org/abs/1904.09023v1

    • [cs.AI]The Seventh Answer Set Programming Competition: Design and Results
    Martin Gebser, Marco Maratea, Francesco Ricca
    http://arxiv.org/abs/1904.09134v1

    • [cs.CL]Beto, Bentz, Becas: The Surprising Cross-Lingual Effectiveness of BERT
    Shijie Wu, Mark Dredze
    http://arxiv.org/abs/1904.09077v1

    • [cs.CL]Code-Switching for Enhancing NMT with Pre-Specified Translation
    Kai Song, Yue Zhang, Heng Yu, Weihua Luo, Kun Wang, Min Zhang
    http://arxiv.org/abs/1904.09107v1

    • [cs.CL]ERNIE: Enhanced Representation through Knowledge Integration
    Yu Sun, Shuohuan Wang, Yukun Li, Shikun Feng, Xuyi Chen, Han Zhang, Xin Tian, Danxiang Zhu, Hao Tian, Hua Wu
    http://arxiv.org/abs/1904.09223v1

    • [cs.CL]Identifying Offensive Posts and Targeted Offense from Twitter
    Haimin Zhang, Debanjan Mahata, Simra Shahid, Laiba Mehnaz, Sarthak Anand, Yaman Singla, Rajiv Ratn Shah, Karan Uppal
    http://arxiv.org/abs/1904.09072v1

    • [cs.CL]Learning Programmatic Idioms for Scalable Semantic Parsing
    Srinivasan Iyer, Alvin Cheung, Luke Zettlemoyer
    http://arxiv.org/abs/1904.09086v1

    • [cs.CL]No Permanent Friends or Enemies: Tracking Relationships between Nations from News
    Xiaochuang Han, Eunsol Choi, Chenhao Tan
    http://arxiv.org/abs/1904.08950v1

    • [cs.CL]OpenTapioca: Lightweight Entity Linking for Wikidata
    Antonin Delpeuch
    http://arxiv.org/abs/1904.09131v1

    • [cs.CL]Query-focused Sentence Compression in Linear Time
    Abram Handler, Brendan O’Connor
    http://arxiv.org/abs/1904.09051v1

    • [cs.CL]Recognizing the vocabulary of Brazilian popular newspapers with a free-access computational dictionary
    Maria José Finatto, Oto Vale, Eric Laporte
    http://arxiv.org/abs/1904.09108v1

    • [cs.CL]Suggestion Mining from Online Reviews using ULMFiT
    Sarthak Anand, Debanjan Mahata, Kartik Aggarwal, Laiba Mehnaz, Simra Shahid, Haimin Zhang, Yaman Kumar, Rajiv Ratn Shah, Karan Uppal
    http://arxiv.org/abs/1904.09076v1

    • [cs.CL]Unifying Question Answering and Text Classification via Span Extraction
    Nitish Shirish Keskar, Bryan McCann, Caiming Xiong, Richard Socher
    http://arxiv.org/abs/1904.09286v1

    • [cs.CL]Zero-Shot Cross-Lingual Opinion Target Extraction
    Soufian Jebbara, Philipp Cimiano
    http://arxiv.org/abs/1904.09122v1

    • [cs.CV]A Novel BiLevel Paradigm for Image-to-Image Translation
    Liqian Ma, Qianru Sun, Bernt Schiele, Luc Van Gool
    http://arxiv.org/abs/1904.09028v1

    • [cs.CV]A Scalable Handwritten Text Recognition System
    R. Reeve Ingle, Yasuhisa Fujii, Thomas Deselaers, Jonathan Baccash, Ashok C. Popat
    http://arxiv.org/abs/1904.09150v1

    • [cs.CV]A deep learning based solution for construction equipment detection: from development to deployment
    Saeed Arabi, Arya Haghighat, Anuj Sharma
    http://arxiv.org/abs/1904.09021v1

    • [cs.CV]AMNet: Deep Atrous Multiscale Stereo Disparity Estimation Networks
    Xianzhi Du, Mostafa El-Khamy, Jungwon Lee
    http://arxiv.org/abs/1904.09099v1

    • [cs.CV]Advanced Deep Convolutional Neural Network Approaches for Digital Pathology Image Analysis: a comprehensive evaluation with different use cases
    Md Zahangir Alom, Theus Aspiras, Tarek M. Taha, Vijayan K. Asari, TJ Bowen, Dave Billiter, Simon Arkell
    http://arxiv.org/abs/1904.09075v1

    • [cs.CV]Assessing the Sharpness of Satellite Images: Study of the PlanetScope Constellation
    Jérémy Anger, Carlo de Franchis, Gabriele Facciolo
    http://arxiv.org/abs/1904.09159v1

    • [cs.CV]Automated Focal Loss for Image based Object Detection
    Michael Weber, Michael Fürst, J. Marius Zöllner
    http://arxiv.org/abs/1904.09048v1

    • [cs.CV]Automated Segmentation of Pulmonary Lobes using Coordination-Guided Deep Neural Networks
    Wenjia Wang, Junxuan Chen, Jie Zhao, Ying Chi, Xuansong Xie, Li Zhang, Xiansheng Hua
    http://arxiv.org/abs/1904.09106v1

    • [cs.CV]Deep Likelihood Network for Image Restoration with Multiple Degradations
    Yiwen Guo, Wangmeng Zuo, Changshui Zhang, Yurong Chen
    http://arxiv.org/abs/1904.09105v1

    • [cs.CV]Deep Q Learning Driven CT Pancreas Segmentation with Geometry-Aware U-Net
    Yunze Man, Yangsibo Huang, Junyi Feng, Xi Li, Fei Wu
    http://arxiv.org/abs/1904.09120v1

    • [cs.CV]Efficient Blind Deblurring under High Noise Levels
    Jérémy Anger, Mauricio Delbracio, Gabriele Facciolo
    http://arxiv.org/abs/1904.09154v1

    • [cs.CV]Exploring the Limitations of Behavior Cloning for Autonomous Driving
    Felipe Codevilla, Eder Santana, Antonio M. López, Adrien Gaidon
    http://arxiv.org/abs/1904.08980v1

    • [cs.CV]Fashion++: Minimal Edits for Outfit Improvement
    Wei-Lin Hsiao, Isay Katsman, Chao-Yuan Wu, Devi Parikh, Kristen Grauman
    http://arxiv.org/abs/1904.09261v1

    • [cs.CV]Feature Forwarding for Efficient Single Image Dehazing
    Peter Morales, Tzofi Klinghoffer, Seung Jae Lee
    http://arxiv.org/abs/1904.09059v1

    • [cs.CV]Feature Fusion for Online Mutual Knowledge Distillation
    Jangho Kim, Minsung Hyun, Inseop Chung, Nojun Kwak
    http://arxiv.org/abs/1904.09058v1

    • [cs.CV]Human Motion Prediction via Pattern Completion in Latent Representation Space
    Yi Tian Xu, Yaqiao Li, David Meger
    http://arxiv.org/abs/1904.09039v1

    • [cs.CV]Integrating Text and Image: Determining Multimodal Document Intent in Instagram Posts
    Julia Kruk, Jonah Lubin, Karan Sikka, Xiao Lin, Dan Jurafsky, Ajay Divakaran
    http://arxiv.org/abs/1904.09073v1

    • [cs.CV]LATTE: Accelerating LiDAR Point Cloud Annotation via Sensor Fusion, One-Click Annotation, and Tracking
    Bernie Wang, Virginia Wu, Bichen Wu, Kurt Keutzer
    http://arxiv.org/abs/1904.09085v1

    • [cs.CV]Listen to the Image
    Di Hu, Dong Wang, Xuelong Li, Feiping Nie, Qi Wang
    http://arxiv.org/abs/1904.09115v1

    • [cs.CV]Realistic Hair Simulation Using Image Blending
    Mohamed Attia, Mohammed Hossny, Saeid Nahavandi, Anousha Yazdabadi, Hamed Asadi
    http://arxiv.org/abs/1904.09169v1

    • [cs.CV]STEP: Spatio-Temporal Progressive Learning for Video Action Detection
    Xitong Yang, Xiaodong Yang, Ming-Yu Liu, Fanyi Xiao, Larry Davis, Jan Kautz
    http://arxiv.org/abs/1904.09288v1

    • [cs.CV]Salient Object Detection in the Deep Learning Era: An In-Depth Survey
    Wenguan Wang, Qiuxia Lai, Huazhu Fu, Jianbing Shen, Haibin Ling
    http://arxiv.org/abs/1904.09146v1

    • [cs.CV]SelFlow: Self-Supervised Learning of Optical Flow
    Pengpeng Liu, Michael Lyu, Irwin King, Jia Xu
    http://arxiv.org/abs/1904.09117v1

    • [cs.CV]Self-Supervised Audio-Visual Co-Segmentation
    Andrew Rouditchenko, Hang Zhao, Chuang Gan, Josh McDermott, Antonio Torralba
    http://arxiv.org/abs/1904.09013v1

    • [cs.CV]Simple yet efficient real-time pose-based action recognition
    Dennis Ludl, Thomas Gulde, Cristóbal Curio
    http://arxiv.org/abs/1904.09140v1

    • [cs.CV]Video Object Segmentation and Tracking: A Survey
    Rui Yao, Guosheng Lin, Shixiong Xia, Jiaqi Zhao, Yong Zhou
    http://arxiv.org/abs/1904.09172v1

    • [cs.CV]Visualizing the decision-making process in deep neural decision forest
    Shichao Li, Kwang-Ting Cheng
    http://arxiv.org/abs/1904.09201v1

    • [cs.CV]Weakly Supervised Adversarial Domain Adaptation for Semantic Segmentation in Urban Scenes
    Qi Wang, Junyu Gao, Xuelong Li
    http://arxiv.org/abs/1904.09092v1

    • [cs.CV]XLSor: A Robust and Accurate Lung Segmentor on Chest X-Rays Using Criss-Cross Attention and Customized Radiorealistic Abnormalities Generation
    Youbao Tang, Yuxing Tang, Jing Xiao, Ronald M. Summers
    http://arxiv.org/abs/1904.09229v1

    • [cs.CY]#Cyberbullying in the digital age: People’s perspective and information sharing behavior on Twitter
    Iman Tahamtan, Li-Min Huang
    http://arxiv.org/abs/1904.09032v1

    • [cs.CY]School management information systems: Challenges to educational decision-making in the big data era
    Vivienne V. Forrester
    http://arxiv.org/abs/1904.08932v1

    • [cs.DC]Data Races and the Discrete Resource-time Tradeoff Problem with Resource Reuse over Paths
    Rathish Das, Shih-Yu Tsai, Sharmila Duppala, Jayson Lynch, Esther M. Arkin, Rezaul Chowdhury, Joseph S. B. Mitchell, Steven Skiena
    http://arxiv.org/abs/1904.09283v1

    • [cs.DC]HEPCloud, an Elastic Hybrid HEP Facility using an Intelligent Decision Support System
    Parag Mhashilkar, Mine Altunay, Eileen Berman, David Dagenhart, Stuart Fuess, Burt Holzman, James Kowalkowski, Dmitry Litvintsev, Qiming Lu, Alexander Moibenko, Marc Paterno, Panagiotis Spentzouris, Steven Timm, Anthony Tiradani, Eric Vaandering, John Hover, Jose Caballero Bejar
    http://arxiv.org/abs/1904.08988v1

    • [cs.DC]Harmonia: Near-Linear Scalability for Replicated Storage with In-Network Conflict Detection
    Hang Zhu, Zhihao Bai, Jialin Li, Ellis Michael, Dan Ports, Ion Stoica, Xin Jin
    http://arxiv.org/abs/1904.08964v1

    • [cs.HC]NNVA: Neural Network Assisted Visual Analysis of Yeast Cell Polarization Simulation
    Subhashis Hazarika, Haoyu Li, Ko-Chih Wang, Han-Wei Shen, Ching-Shan Chou
    http://arxiv.org/abs/1904.09044v1

    • [cs.IR]A Hybrid Retrieval-Generation Neural Conversation Model
    Liu Yang, Junjie Hu, Minghui Qiu, Chen Qu, Jianfeng Gao, W. Bruce Croft, Xiaodong Liu, Yelong Shen, Jingjing Liu
    http://arxiv.org/abs/1904.09068v1

    • [cs.IR]Critically Examining the “Neural Hype”: Weak Baselines and the Additivity of Effectiveness Gains from Neural Ranking Models
    Wei Yang, Kuang Lu, Peilin Yang, Jimmy Lin
    http://arxiv.org/abs/1904.09171v1

    • [cs.IT]Non-Stationary Polar Codes for Resistive Memories
    Marwen Zorgui, Mohammed E. Fouda, Zhiying Wang, Ahmed M. Eltawil, Fadi Kurdahi
    http://arxiv.org/abs/1904.08966v1

    • [cs.IT]Reconstruction and Error-Correction Codes for Polymer-Based Data Storage
    Srilakshmi Pattabiraman, Ryan Gabrys, Olgica Milenkovic
    http://arxiv.org/abs/1904.09280v1

    • [cs.IT]Transfer Entropy: where Shannon meets Turing
    David Sigtermans
    http://arxiv.org/abs/1904.09163v1

    • [cs.LG]Analyzing the benefits of communication channels between deep learning models
    Philippe Lacaille
    http://arxiv.org/abs/1904.09211v1

    • [cs.LG]Data Augmentation Using GANs
    Fabio Henrique Kiyoiti dos Santos Tanaka, Claus Aranha
    http://arxiv.org/abs/1904.09135v1

    • [cs.LG]EmbraceNet: A robust deep learning architecture for multimodal classification
    Jun-Ho Choi, Jong-Seok Lee
    http://arxiv.org/abs/1904.09078v1

    • [cs.LG]Emergence of Compositional Language with Deep Generational Transmission
    Michael Cogswell, Jiasen Lu, Stefan Lee, Devi Parikh, Dhruv Batra
    http://arxiv.org/abs/1904.09067v1

    • [cs.LG]Graph Element Networks: adaptive, structured computation and memory
    Ferran Alet, Adarsh K. Jeewajee, Maria Bauza, Alberto Rodriguez, Tomas Lozano-Perez, Leslie Pack Kaelbling
    http://arxiv.org/abs/1904.09019v1

    • [cs.LG]Hierarchical Meta Learning
    Yingtian Zou, Jiashi Feng
    http://arxiv.org/abs/1904.09081v1

    • [cs.LG]Implicit regularization for deep neural networks driven by an Ornstein-Uhlenbeck like process
    Guy Blanc, Neha Gupta, Gregory Valiant, Paul Valiant
    http://arxiv.org/abs/1904.09080v1

    • [cs.LG]Knowledge Distillation via Route Constrained Optimization
    Xiao Jin, Baoyun Peng, Yichao Wu, Yu Liu, Jiaheng Liu, Ding Liang, Junjie Yan, Xiaolin Hu
    http://arxiv.org/abs/1904.09149v1

    • [cs.LG]Machine learning for early prediction of circulatory failure in the intensive care unit
    Stephanie L. Hyland, Martin Faltys, Matthias Hüser, Xinrui Lyu, Thomas Gumbsch, Cristóbal Esteban, Christian Bock, Max Horn, Michael Moor, Bastian Rieck, Marc Zimmermann, Dean Bodenham, Karsten Borgwardt, Gunnar Rätsch, Tobias M. Merz
    http://arxiv.org/abs/1904.07990v2

    • [cs.LG]On the Convergence of Adam and Beyond
    Sashank J. Reddi, Satyen Kale, Sanjiv Kumar
    http://arxiv.org/abs/1904.09237v1

    • [cs.LG]Online Active Learning: Label Complexity vs. Classification Errors
    Boshuang Huang, Qing Zhao
    http://arxiv.org/abs/1904.09056v1

    • [cs.LG]Optimal initialization of K-means using Particle Swarm Optimization
    Ashutosh Mahesh Pednekar
    http://arxiv.org/abs/1904.09098v1

    • [cs.LG]Playgol: learning programs through play
    Andrew Cropper
    http://arxiv.org/abs/1904.08993v1

    • [cs.LG]ProductNet: a Collection of High-Quality Datasets for Product Representation Learning
    Chu Wang, Lei Tang, Yang Lu, Shujun Bian, Hirohisa Fujita, Da Zhang, Zuohua Zhang, Yongning Wu
    http://arxiv.org/abs/1904.09037v1

    • [cs.LG]Reliable Multi-label Classification: Prediction with Partial Abstention
    Vu-Linh Nguyen, Eyke Hüllermeier
    http://arxiv.org/abs/1904.09235v1

    • [cs.LG]SSRGD: Simple Stochastic Recursive Gradient Descent for Escaping Saddle Points
    Zhize Li
    http://arxiv.org/abs/1904.09265v1

    • [cs.LG]Semi-bandit Optimization in the Dispersed Setting
    Maria-Florina Balcan, Travis Dick, Wesley Pegden
    http://arxiv.org/abs/1904.09014v1

    • [cs.LG]Shallow Neural Network can Perfectly Classify an Object following Separable Probability Distribution
    Youngjae Min, Hye Won Chung
    http://arxiv.org/abs/1904.09109v1

    • [cs.LG]Uncertainty about Uncertainty: Near-Optimal Adaptive Algorithms for Estimating Binary Mixtures of Unknown Coins
    Jasper C. H. Lee, Paul Valiant
    http://arxiv.org/abs/1904.09228v1

    • [cs.LG]Understanding Neural Networks via Feature Visualization: A survey
    Anh Nguyen, Jason Yosinski, Jeff Clune
    http://arxiv.org/abs/1904.08939v1

    • [cs.LG]When is a Prediction Knowledge?
    Alex Kearney, Patrick M. Pilarski
    http://arxiv.org/abs/1904.09024v1

    • [cs.NE]Epistasis-based Basis Estimation Method for Simplifying the Problem Space of an Evolutionary Search in Binary Representation
    Junghwan Lee, Yong-Hyuk Kim
    http://arxiv.org/abs/1904.09103v1

    • [cs.NE]Runtime Analysis of the Univariate Marginal Distribution Algorithm under Low Selective Pressure and Prior Noise
    Per Kristian Lehre, Phan Trung Hai Nguyen
    http://arxiv.org/abs/1904.09239v1

    • [cs.NE]SCANN: Synthesis of Compact and Accurate Neural Networks
    Shayan Hassantabar, Zeyu Wang, Niraj K. Jha
    http://arxiv.org/abs/1904.09090v1

    • [cs.RO]Body Lift and Drag for a Legged Millirobot in Compliant Beam Environment
    Can Koc, Cem Koc, Brian Su, Carlos Casarez, Ronald Fearing
    http://arxiv.org/abs/1904.09101v1

    • [cs.RO]Contact-Aided Invariant Extended Kalman Filtering for Robot State Estimation
    Ross Hartley, Maani Ghaffari, Ryan M. Eustice, Jessy W. Grizzle
    http://arxiv.org/abs/1904.09251v1

    • [cs.RO]DeepLocalization: Landmark-based Self-Localization with Deep Neural Networks
    Nico Engel, Stefan Hoermann, Markus Horn, Vasileios Belagiannis, Klaus Dietmayer
    http://arxiv.org/abs/1904.09007v1

    • [cs.RO]Enabling Socially Competent navigation through incorporating HRI
    Arturo Cruz-Maya, Fernando Garcia, Amit Kumar Pandey
    http://arxiv.org/abs/1904.09116v1

    • [cs.RO]Geographical Map Registration and Fusion of Lidar-Aerial Orthoimagery in GIS
    Siqi Yi, Stewart Worrall, Eduardo Nebot
    http://arxiv.org/abs/1904.09047v1

    • [cs.RO]Learning Manipulation Skills Via Hierarchical Spatial Attention
    Marcus Gualtieri, Robert Platt
    http://arxiv.org/abs/1904.09191v1

    • [cs.RO]Secure and secret cooperation of robotic swarms by using Merkle trees
    Eduardo Castelló Ferrer, Thomas Hardjono, Alex, Pentland
    http://arxiv.org/abs/1904.09266v1

    • [eess.AS]Dry, Focus, and Transcribe: End-to-End Integration of Dereverberation, Beamforming, and ASR
    Aswin Shanmugam Subramanian, Xiaofei Wang, Shinji Watanabe, Toru Taniguchi, Dung Tran, Yuya Fujita
    http://arxiv.org/abs/1904.09049v1

    • [eess.IV]Semi-Supervised First-Person Activity Recognition in Body-Worn Video
    Honglin Chen, Hao Li, Alexander Song, Matt Haberland, Osman Akar, Adam Dhillon, Tiankuang Zhou, Andrea L. Bertozzi, P. Jeffrey Brantingham
    http://arxiv.org/abs/1904.09062v1

    • [math.RA]Intersection property and interaction decomposition
    Grégoire Sergeant-Perthuis
    http://arxiv.org/abs/1904.09017v1

    • [math.ST]Adaptive Huber Regression on Markov-dependent Data
    Jianqing Fan, Yongyi Guo, Bai Jiang
    http://arxiv.org/abs/1904.09027v1

    • [math.ST]Optimal Recovery of Mahalanobis Distance in High Dimension
    Matan Gavish, Ronen Talmon, Pei-Chun Su, Hau-Tieng Wu
    http://arxiv.org/abs/1904.09204v1

    • [math.ST]Square-root nuclear norm penalized estimator for panel data models with approximately low-rank unobserved heterogeneity
    Jad Beyhum, Eric Gautier
    http://arxiv.org/abs/1904.09192v1

    • [physics.soc-ph]A Model for the Influence of Media on the Ideology of Content in Online Social Networks
    Heather Z. Brooks, Mason A. Porter
    http://arxiv.org/abs/1904.09238v1

    • [q-bio.GN]Testing for differential abundance in compositional counts data, with application to microbiome studies
    Barak Brill, Amnon Amir, Ruth Heller
    http://arxiv.org/abs/1904.08937v1

    • [q-bio.QM]Random Fragments Classification of Microbial Marker Clades with Multi-class SVM and N-Best Algorithm
    Jingwei Liu
    http://arxiv.org/abs/1904.09061v1

    • [stat.AP]A comparison of statistical and machine learning methods for creating national daily maps of ambient PM$_{2.5}$ concentration
    Veronica J. Berrocal, Yawen Guan, Amanda Muyskens, Haoyu Wang, Brian J Reich, James A. Mulholland, Howard H. Chang
    http://arxiv.org/abs/1904.08931v1

    • [stat.AP]An Alternative Data-Driven Prediction Approach Based on Real Option Theories
    Abdullah AlShelahi, Jingxing Wang, Mingdi You, Eunshin Byon, Romesh Saigal
    http://arxiv.org/abs/1904.09241v1

    • [stat.AP]Online Non-stationary Time Series Analysis and Processing
    Shixiong Wang, Chongshou Li, Andrew Lim
    http://arxiv.org/abs/1904.09245v1

    • [stat.AP]Safety-margin-based design and redesign considering mixed epistemic model uncertainty and aleatory parameter uncertainty
    Nathaniel B. Price, Mathieu Balesdent, Sébastien Defoort, Rodolphe Le Riche, Nam H. Kim, Raphael T. Haftka
    http://arxiv.org/abs/1904.08978v1

    • [stat.ME]Landmark Proportional Subdistribution Hazards Models for Dynamic Prediction of Cumulative Incidence Functions
    Qing Liu, Gong Tang, Joseph P. Costantino, Chung-Chou H. Chang
    http://arxiv.org/abs/1904.09002v1

    • [stat.ME]Simulation-based Value-at-Risk for Nonlinear Portfolios
    Junyao Chen, Tony Sit, Hoi Ying Wong
    http://arxiv.org/abs/1904.09088v1

    • [stat.ML]Causal Discovery with General Non-Linear Relationships Using Non-Linear ICA
    Ricardo Pio Monti, Kun Zhang, Aapo Hyvarinen
    http://arxiv.org/abs/1904.09096v1

    • [stat.ML]Risk Convergence of Centered Kernel Ridge Regression with Large Dimensional Data
    Khalil Elkhalil, Abla Kammoun, Xiangliang Zhang, Mohamed-Slim Alouini, Tareq Al-Naffouri
    http://arxiv.org/abs/1904.09212v1