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