cs.AR - 硬件体系结构

    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.MA - 多代理系统 cs.NE - 神经与进化计算 cs.NI - 网络和互联网体系结构 cs.PF - 计算性能 cs.RO - 机器人学 cs.SD - 声音处理 cs.SI - 社交网络与信息网络 cs.SY - 系统与控制 econ.EM - 计量经济学 eess.SP - 信号处理 math.CO - 组合数学 math.ST - 统计理论 physics.med-ph - 医学物理学 q-bio.PE - 人口与发展 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.AR]An Application-Specific VLIW Processor with Vector Instruction Set for CNN Acceleration
    • [cs.AR]High Performance Reconfigurable Computing Systems
    • [cs.CL]A Variational Approach to Weakly Supervised Document-Level Multi-Aspect Sentiment Classification
    • [cs.CL]Advances in Natural Language Question Answering: A Review
    • [cs.CL]BAG: Bi-directional Attention Entity Graph Convolutional Network for Multi-hop Reasoning Question Answering
    • [cs.CL]Better Word Embeddings by Disentangling Contextual n-Gram Information
    • [cs.CL]CNM: An Interpretable Complex-valued Network for Matching
    • [cs.CL]Characterizing the impact of geometric properties of word embeddings on task performance
    • [cs.CL]ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission
    • [cs.CL]Cross-lingual Visual Verb Sense Disambiguation
    • [cs.CL]Data Selection with Cluster-Based Language Difference Models and Cynical Selection
    • [cs.CL]Deep Neural Networks Ensemble for Detecting Medication Mentions in Tweets
    • [cs.CL]Detecting Cybersecurity Events from Noisy Short Text
    • [cs.CL]From Semi-supervised to Almost-unsupervised Speech Recognition with Very-low Resource by Jointly Learning Phonetic Structures from Audio and Text Embeddings
    • [cs.CL]Multi-Context Term Embeddings: the Use Case of Corpus-based Term Set Expansion
    • [cs.CL]NLPR@SRPOL at SemEval-2019 Task 6 and Task 5: Linguistically enhanced deep learning offensive sentence classifier
    • [cs.CL]Performance Monitoring for End-to-End Speech Recognition
    • [cs.CL]Simple BERT Models for Relation Extraction and Semantic Role Labeling
    • [cs.CV]3D Object Instance Recognition and Pose Estimation Using Triplet Loss with Dynamic Margin
    • [cs.CV]3D Quantum Cuts for Automatic Segmentation of Porous Media in Tomography Images
    • [cs.CV]A Data Fusion Platform for Supporting Bridge Deck Condition Monitoring by Merging Aerial and Ground Inspection Imagery
    • [cs.CV]A Non-linear Differential CNN-Rendering Module for 3D Data Enhancement
    • [cs.CV]Active Multi-Kernel Domain Adaptation for Hyperspectral Image Classification
    • [cs.CV]Actor-Critic Instance Segmentation
    • [cs.CV]Back to the Future: Knowledge Distillation for Human Action Anticipation
    • [cs.CV]C3AE: Exploring the Limits of Compact Model for Age Estimation
    • [cs.CV]Context-Aware Embeddings for Automatic Art Analysis
    • [cs.CV]Contextual Attention for Hand Detection in the Wild
    • [cs.CV]Convolutional Temporal Attention Model for Video-based Person Re-identification
    • [cs.CV]Curriculum semi-supervised segmentation
    • [cs.CV]DAVANet: Stereo Deblurring with View Aggregation
    • [cs.CV]DSNet: An Efficient CNN for Road Scene Segmentation
    • [cs.CV]Data Priming Network for Automatic Check-Out
    • [cs.CV]Decorrelated Adversarial Learning for Age-Invariant Face Recognition
    • [cs.CV]Deep Learning Inversion of Electrical Resistivity Data
    • [cs.CV]Depth from Videos in the Wild: Unsupervised Monocular Depth Learning from Unknown Cameras
    • [cs.CV]Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks with Octave Convolution
    • [cs.CV]Efficient Retrieval of Logos Using Rough Set Reducts
    • [cs.CV]Egocentric Visitors Localization in Cultural Sites
    • [cs.CV]Evaluation of a Dual Convolutional Neural Network Architecture for Object-wise Anomaly Detection in Cluttered X-ray Security Imagery
    • [cs.CV]FAMNet: Joint Learning of Feature, Affinity and Multi-dimensional Assignment for Online Multiple Object Tracking
    • [cs.CV]Fast Accurate CT Metal Artifact Reduction using Data Domain Deep Learning
    • [cs.CV]Foreground-aware Pyramid Reconstruction for Alignment-free Occluded Person Re-identification
    • [cs.CV]Gait Recognition via Disentangled Representation Learning
    • [cs.CV]H+O: Unified Egocentric Recognition of 3D Hand-Object Poses and Interactions
    • [cs.CV]Heavy Rain Image Restoration: Integrating Physics Model and Conditional Adversarial Learning
    • [cs.CV]Image Quality Assessment for Omnidirectional Cross-reference Stitching
    • [cs.CV]Imitating Targets from all sides: An Unsupervised Transfer Learning method for Person Re-identification
    • [cs.CV]Instance Segmentation of Biological Images Using Harmonic Embeddings
    • [cs.CV]Iterative Residual Refinement for Joint Optical Flow and Occlusion Estimation
    • [cs.CV]Joint Manifold Diffusion for Combining Predictions on Decoupled Observations
    • [cs.CV]Large-Scale Long-Tailed Recognition in an Open World
    • [cs.CV]Localized Trajectories for 2D and 3D Action Recognition
    • [cs.CV]Next-Active-Object prediction from Egocentric Videos
    • [cs.CV]Non-Lambertian Surface Shape and Reflectance Reconstruction Using Concentric Multi-Spectral Light Field
    • [cs.CV]On zero-shot recognition of generic objects
    • [cs.CV]POSEAMM: A Unified Framework for Solving Pose Problems using an Alternating Minimization Method
    • [cs.CV]Person Re-identification with Metric Learning using Privileged Information
    • [cs.CV]Predicting Novel Views Using Generative Adversarial Query Network
    • [cs.CV]Rain O’er Me: Synthesizing real rain to derain with data distillation
    • [cs.CV]Relational Knowledge Distillation
    • [cs.CV]SOSNet: Second Order Similarity Regularization for Local Descriptor Learning
    • [cs.CV]Semi-Supervised Graph Classification: A Hierarchical Graph Perspective
    • [cs.CV]Soft Conditional Computation
    • [cs.CV]Spatiotemporal Knowledge Distillation for Efficient Estimation of Aerial Video Saliency
    • [cs.CV]StegaStamp: Invisible Hyperlinks in Physical Photographs
    • [cs.CV]Text Guided Person Image Synthesis
    • [cs.CV]ThumbNet: One Thumbnail Image Contains All You Need for Recognition
    • [cs.CV]Towards High-fidelity Nonlinear 3D Face Morphable Model
    • [cs.CV]Towards Universal Object Detection by Domain Attention
    • [cs.CV]Weakly Supervised Learning of Instance Segmentation with Inter-pixel Relations
    • [cs.CV]Weakly-Supervised White and Grey Matter Segmentation in 3D Brain Ultrasound
    • [cs.CY]Adaptive Learning Expert System for Diagnosis and Management of Viral Hepatitis
    • [cs.CY]Dungeons for Science: Mapping Belief Places and Spaces
    • [cs.CY]Survey of ETA prediction methods in public transport networks
    • [cs.DC]A Proposal for an Open Logistics Interconnection Reference Model for a Physical Internet
    • [cs.DC]A Three-Level Parallelisation Scheme and Application to the Nelder-Mead Algorithm
    • [cs.DC]Analyzes of the Distributed System Load with Multifractal Input Data Flows
    • [cs.DC]Applicability study of the PRIMAD model to LIGO gravitational wave search workflows
    • [cs.DC]Application performance on a Cluster-Booster system
    • [cs.HC]A Model for Using Physiological Conditions for Proactive Tourist Recommendations
    • [cs.HC]Is Two Better than One? Effects of Multiple Agents on User Persuasion
    • [cs.IR]AMRec: An Intelligent System for Academic Method Recommendation
    • [cs.IR]Causal Embeddings for Recommendation: An Extended Abstract
    • [cs.IT]Cache-Aided Interference Management with Subexponential Subpacketization
    • [cs.IT]Cellular UAV-to-UAV Communications
    • [cs.IT]Decentralized Pliable Index Coding
    • [cs.IT]New Converse Bounds for Discrete Memoryless Channels in the Finite Blocklength Regime
    • [cs.IT]On the $k$-error linear complexity of subsequences of $d$-ary Sidel’nikov sequences over prime field $\mathbb{F}_{d}$
    • [cs.IT]On the Optimality of Gauss’s Algorithm over Euclidean Imaginary Quadratic Fields
    • [cs.IT]On the Scalar-Help-Vector Source Coding Problem
    • [cs.IT]Private Pliable Index Coding
    • [cs.IT]Tensor Representation of Rank-Metric Codes
    • [cs.LG]Analysis of the Gradient Descent Algorithm for a Deep Neural Network Model with Skip-connections
    • [cs.LG]Black-box Adversarial Attacks on Video Recognition Models
    • [cs.LG]Discovering patterns of online popularity from time series
    • [cs.LG]Few-shot Learning: A Survey
    • [cs.LG]Handling temporality of clinical events with application to Adverse Drug Event detection in Electronic Health Records: A scoping review
    • [cs.LG]Identification of Predictive Sub-Phenotypes of Acute Kidney Injury using Structured and Unstructured Electronic Health Record Data with Memory Networks
    • [cs.LG]Just Jump: Dynamic Neighborhood Aggregation in Graph Neural Networks
    • [cs.LG]Knowledge Squeezed Adversarial Network Compression
    • [cs.LG]Multitask Hopfield Networks
    • [cs.LG]SWNet: Small-World Neural Networks and Rapid Convergence
    • [cs.LG]Universal Lipschitz Approximation in Bounded Depth Neural Networks
    • [cs.LG]What’s in a Name? Reducing Bias in Bios without Access to Protected Attributes
    • [cs.MA]Modelling Social Care Provision in An Agent-Based Framework with Kinship Networks
    • [cs.NE]A review on Neural Turing Machine
    • [cs.NE]Black-Box Complexity of the Binary Value Function
    • [cs.NE]Classification of Two-channel Signals by Means of Genetic Programming
    • [cs.NE]Fitness Dependent Optimizer: Inspired by the Bee Swarming Reproductive Process
    • [cs.NI]Designing Sensing as a Service (S2aaS) Ecosystem for Internet of Things
    • [cs.PF]Cross-Platform Performance Portability Using Highly Parametrized SYCL Kernels
    • [cs.RO]Asymptotic Optimality of a Time Optimal Path Parametrization Algorithm
    • [cs.RO]Automatic 3D Mapping for Tree Diameter Measurements in Inventory Operations
    • [cs.RO]Compare Contact Model-based Control and Contact Model-free Learning: A Survey of Robotic Peg-in-hole Assembly Strategies
    • [cs.RO]Differential Dynamic Programming for Multi-Phase Rigid Contact Dynamics
    • [cs.RO]Indoor Testing and Simulation Platform for Close-distance Visual Inspection of Complex Structures using Micro Quadrotor UAV
    • [cs.RO]Novel Quadrotor Manipulation System
    • [cs.RO]Vision-model-based Real-time Localization of Unmanned Aerial Vehicle for Autonomous Structure Inspection under GPS-denied Environment
    • [cs.SD]A Framework for Multi-f0 Modeling in SATB Choir Recordings
    • [cs.SD]Acoustic Scene Classification by Implicitly Identifying Distinct Sound Events
    • [cs.SD]An Interactive Musical Prediction System with Mixture Density Recurrent Neural Networks
    • [cs.SD]Distributed Deep Learning Strategies For Automatic Speech Recognition
    • [cs.SD]Neuralogram: A Deep Neural Network Based Representation for Audio Signals
    • [cs.SI]A Classification Algorithm to Recognize Fake News Websites
    • [cs.SI]Adapting Stochastic Block Models to Power-Law Degree Distributions
    • [cs.SI]An In-Depth Comparison of s-t Reliability Algorithms over Uncertain Graphs
    • [cs.SI]Bayesian estimation of the latent dimension and communities in stochastic blockmodels
    • [cs.SI]Better Safe Than Sorry: An Adversarial Approach to Improve Social Bot Detection
    • [cs.SI]Community Detection in Social Network using Temporal Data
    • [cs.SI]Environmental Changes and the Dynamics of Musical Identity
    • [cs.SI]Hierarchical Temporal Convolutional Networks for Dynamic Recommender Systems
    • [cs.SI]Nine Quick Tips for Analyzing Network Data
    • [cs.SI]Understanding Information Flow in Cascades Using Network Motifs
    • [cs.SY]Theory and implementation of event-triggered stabilization over digital channels
    • [econ.EM]Local Polynomial Estimation of Time-Varying Parameters in Nonlinear Models
    • [econ.EM]Solving Dynamic Discrete Choice Models Using Smoothing and Sieve Methods
    • [eess.SP]Cell Discovery in Millimeter Wave Systems: Physical Layer Implementations
    • [math.CO]Divergent permutations
    • [math.ST]Extreme value theory based confidence intervals for the parameters of a symmetric Lévy-stable distribution
    • [math.ST]Infill asymptotics and bandwidth selection for kernel estimators of spatial intensity functions
    • [physics.med-ph]Accelerated Nuclear Magnetic Resonance Spectroscopy with Deep Learning
    • [q-bio.PE]Nowcasting Influenza Incidence with CDC Web Traffic Data: A Demonstration Using a Novel Data Set
    • [q-bio.QM]Classification of signaling proteins based on molecular star graph descriptors using Machine Learning models
    • [stat.AP]Association of night-waking and inattention/hyperactivity symptoms trajectories in preschool-aged children
    • [stat.AP]Cord-blood vitamin D level and night sleep duration in preschoolers in the EDEN mother-child birth cohort
    • [stat.AP]Early features associated with the neurocognitive development at 36 months of age: the AuBE study
    • [stat.AP]Google Street View image of a house predicts car accident risk of its resident
    • [stat.AP]Multiple imputation and selection of ordinal level 2 predictors in multilevel models. An analysis of the relationship between student ratings and teacher beliefs and practices
    • [stat.AP]Night sleep duration trajectories and associated factors among preschool children from the EDEN cohort
    • [stat.ME]A Nonparametric Normality Test for High-dimensional Data
    • [stat.ME]A Reproducing Kernel Hilbert Space log-rank test for the two-sample problem
    • [stat.ME]Ensemble updating of binary state vectors by maximising the expected number of unchanged components
    • [stat.ME]Improving interim decisions in randomized trials by exploiting information on short-term outcomes and prognostic baseline covariates
    • [stat.ME]Network depth: identifying median and contours in complex networks
    • [stat.ML]Active Learning for Decision-Making from Imbalanced Observational Data
    • [stat.ML]Attraction-Repulsion clustering with applications to fairness
    • [stat.ML]Enhancing Time Series Momentum Strategies Using Deep Neural Networks
    • [stat.ML]Know Your Boundaries: Constraining Gaussian Processes by Variational Harmonic Features
    • [stat.ML]New Computational and Statistical Aspects of Regularized Regression with Application to Rare Feature Selection and Aggregation
    • [stat.ML]Novel Uncertainty Framework for Deep Learning Ensembles
    • [stat.ML]Time-Series Analysis via Low-Rank Matrix Factorization Applied to Infant-Sleep Data

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

    • [cs.AR]An Application-Specific VLIW Processor with Vector Instruction Set for CNN Acceleration
    Andreas Bytyn, Rainer Leupers, Gerd Ascheid
    http://arxiv.org/abs/1904.05106v1

    • [cs.AR]High Performance Reconfigurable Computing Systems
    Issam Damaj
    http://arxiv.org/abs/1904.04953v1

    • [cs.CL]A Variational Approach to Weakly Supervised Document-Level Multi-Aspect Sentiment Classification
    Ziqian Zeng, Wenxuan Zhou, Xin Liu, Yangqiu Song
    http://arxiv.org/abs/1904.05055v1

    • [cs.CL]Advances in Natural Language Question Answering: A Review
    K. S. D. Ishwari, A. K. R. R. Aneeze, S. Sudheesan, H. J. D. A. Karunaratne, A. Nugaliyadde, Y. Mallawarrachchi
    http://arxiv.org/abs/1904.05276v1

    • [cs.CL]BAG: Bi-directional Attention Entity Graph Convolutional Network for Multi-hop Reasoning Question Answering
    Yu Cao, Meng Fang, Dacheng Tao
    http://arxiv.org/abs/1904.04969v1

    • [cs.CL]Better Word Embeddings by Disentangling Contextual n-Gram Information
    Prakhar Gupta, Matteo Pagliardini, Martin Jaggi
    http://arxiv.org/abs/1904.05033v1

    • [cs.CL]CNM: An Interpretable Complex-valued Network for Matching
    Qiuchi Li, Benyou Wang, Massimo Melucci
    http://arxiv.org/abs/1904.05298v1

    • [cs.CL]Characterizing the impact of geometric properties of word embeddings on task performance
    Brendan Whitaker, Denis Newman-Griffis, Aparajita Haldar, Hakan Ferhatosmanoglu, Eric Fosler-Lussier
    http://arxiv.org/abs/1904.04866v1

    • [cs.CL]ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission
    Kexin Huang, Jaan Altosaar, Rajesh Ranganath
    http://arxiv.org/abs/1904.05342v1

    • [cs.CL]Cross-lingual Visual Verb Sense Disambiguation
    Spandana Gella, Desmond Elliott, Frank Keller
    http://arxiv.org/abs/1904.05092v1

    • [cs.CL]Data Selection with Cluster-Based Language Difference Models and Cynical Selection
    Lucía Santamaría, Amittai Axelrod
    http://arxiv.org/abs/1904.04900v1

    • [cs.CL]Deep Neural Networks Ensemble for Detecting Medication Mentions in Tweets
    Davy Weissenbacher, Abeed Sarker, Ari Klein, Karen O’Connor, Arjun Magge Ranganatha, Graciela Gonzalez-Hernandez
    http://arxiv.org/abs/1904.05308v1

    • [cs.CL]Detecting Cybersecurity Events from Noisy Short Text
    Semih Yagcioglu, Mehmet Saygin Seyfioglu, Begum Citamak, Batuhan Bardak, Seren Guldamlasioglu, Azmi Yuksel, Emin Islam Tatli
    http://arxiv.org/abs/1904.05054v1

    • [cs.CL]From Semi-supervised to Almost-unsupervised Speech Recognition with Very-low Resource by Jointly Learning Phonetic Structures from Audio and Text Embeddings
    Yi-Chen Chen, Sung-Feng Huang, Hung-yi Lee, Lin-shan Lee
    http://arxiv.org/abs/1904.05078v1

    • [cs.CL]Multi-Context Term Embeddings: the Use Case of Corpus-based Term Set Expansion
    Jonathan Mamou, Oren Pereg, Moshe Wasserblat, Ido Dagan
    http://arxiv.org/abs/1904.02496v2

    • [cs.CL]NLPR@SRPOL at SemEval-2019 Task 6 and Task 5: Linguistically enhanced deep learning offensive sentence classifier
    Alessandro Seganti, Helena Sobol, Iryna Orlova, Hannam Kim, Jakub Staniszewski, Tymoteusz Krumholc, Krystian Koziel
    http://arxiv.org/abs/1904.05152v1

    • [cs.CL]Performance Monitoring for End-to-End Speech Recognition
    Ruizhi Li, Gregory Sell, Hynek Hermansky
    http://arxiv.org/abs/1904.04896v1

    • [cs.CL]Simple BERT Models for Relation Extraction and Semantic Role Labeling
    Peng Shi, Jimmy Lin
    http://arxiv.org/abs/1904.05255v1

    • [cs.CV]3D Object Instance Recognition and Pose Estimation Using Triplet Loss with Dynamic Margin
    Sergey Zakharov, Wadim Kehl, Benjamin Planche, Andreas Hutter, Slobodan Ilic
    http://arxiv.org/abs/1904.04854v1

    • [cs.CV]3D Quantum Cuts for Automatic Segmentation of Porous Media in Tomography Images
    Junaid Malik, Serkan Kiranyaz, Riyadh Al-Raoush, Olivier Monga, Patricia Garnier, Sebti Foufou, Abdelaziz Bouras, Alexandros Iosifidis, Moncef Gabbouj, Philippe C. Baveye
    http://arxiv.org/abs/1904.04412v2

    • [cs.CV]A Data Fusion Platform for Supporting Bridge Deck Condition Monitoring by Merging Aerial and Ground Inspection Imagery
    Zhexiong Shang, Chongsheng Cheng, Zhigang Shen
    http://arxiv.org/abs/1904.04986v1

    • [cs.CV]A Non-linear Differential CNN-Rendering Module for 3D Data Enhancement
    Yonatan Svirsky, Andrei Sharf
    http://arxiv.org/abs/1904.04850v1

    • [cs.CV]Active Multi-Kernel Domain Adaptation for Hyperspectral Image Classification
    Cheng Deng, Xianglong Liu, Chao Li, Dacheng Tao
    http://arxiv.org/abs/1904.05200v1

    • [cs.CV]Actor-Critic Instance Segmentation
    Nikita Araslanov, Constantin Rothkopf, Stefan Roth
    http://arxiv.org/abs/1904.05126v1

    • [cs.CV]Back to the Future: Knowledge Distillation for Human Action Anticipation
    Vinh Tran, Yang Wang, Minh Hoai
    http://arxiv.org/abs/1904.04868v1

    • [cs.CV]C3AE: Exploring the Limits of Compact Model for Age Estimation
    Chao Zhang, Shuaicheng Liu, Xun Xu, Ce Zhu
    http://arxiv.org/abs/1904.05059v1

    • [cs.CV]Context-Aware Embeddings for Automatic Art Analysis
    Noa Garcia, Benjamin Renoust, Yuta Nakashima
    http://arxiv.org/abs/1904.04985v1

    • [cs.CV]Contextual Attention for Hand Detection in the Wild
    Supreeth Narasimhaswamy, Zhengwei Wei, Yang Wang, Justin Zhang, Minh Hoai
    http://arxiv.org/abs/1904.04882v1

    • [cs.CV]Convolutional Temporal Attention Model for Video-based Person Re-identification
    Tanzila Rahman, Mrigank Rochan, Yang Wang
    http://arxiv.org/abs/1904.04492v2

    • [cs.CV]Curriculum semi-supervised segmentation
    Hoel Kervadec, Jose Dolz, Eric Granger, Ismail Ben Ayed
    http://arxiv.org/abs/1904.05236v1

    • [cs.CV]DAVANet: Stereo Deblurring with View Aggregation
    Shangchen Zhou, Jiawei Zhang, Wangmeng Zuo, Haozhe Xie, Jinshan Pan, Jimmy Ren
    http://arxiv.org/abs/1904.05065v1

    • [cs.CV]DSNet: An Efficient CNN for Road Scene Segmentation
    Ping-Rong Chen, Hsueh-Ming Hang, Sheng-Wei Chan, Jing-Jhih Lin
    http://arxiv.org/abs/1904.05022v1

    • [cs.CV]Data Priming Network for Automatic Check-Out
    Congcong Li, Dawei Du, Libo Zhang, Tiejian Luo, Yanjun Wu, Qi Tian, Longyin Wen, Siwei Lyu
    http://arxiv.org/abs/1904.04978v1

    • [cs.CV]Decorrelated Adversarial Learning for Age-Invariant Face Recognition
    Hao Wang, Dihong Gong, Zhifeng Li, Wei Liu
    http://arxiv.org/abs/1904.04972v1

    • [cs.CV]Deep Learning Inversion of Electrical Resistivity Data
    Bin Liu, Qian Guo, Shucai Li, Benchao Liu, Yuxiao Ren, Yonghao Pang, Lanbo Liu, Peng Jiang
    http://arxiv.org/abs/1904.05265v1

    • [cs.CV]Depth from Videos in the Wild: Unsupervised Monocular Depth Learning from Unknown Cameras
    Ariel Gordon, Hanhan Li, Rico Jonschkowski, Anelia Angelova
    http://arxiv.org/abs/1904.04998v1

    • [cs.CV]Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks with Octave Convolution
    Yunpeng Chen, Haoqi Fang, Bing Xu, Zhicheng Yan, Yannis Kalantidis, Marcus Rohrbach, Shuicheng Yan, Jiashi Feng
    http://arxiv.org/abs/1904.05049v1

    • [cs.CV]Efficient Retrieval of Logos Using Rough Set Reducts
    Ushasi Chaudhuri, Partha Bhowmick, Jayanta Mukhopadhyay
    http://arxiv.org/abs/1904.05008v1

    • [cs.CV]Egocentric Visitors Localization in Cultural Sites
    Francesco Ragusa, Antonino Furnari, Sebastiano Battiato, Giovanni Signorello, Giovanni Maria Farinella
    http://arxiv.org/abs/1904.05264v1

    • [cs.CV]Evaluation of a Dual Convolutional Neural Network Architecture for Object-wise Anomaly Detection in Cluttered X-ray Security Imagery
    Yona Falinie A. Gaus, Neelanjan Bhowmik, Samet Akçay, Paolo M. Guillen-Garcia, Jack W. Barker, Toby P. Breckon
    http://arxiv.org/abs/1904.05304v1

    • [cs.CV]FAMNet: Joint Learning of Feature, Affinity and Multi-dimensional Assignment for Online Multiple Object Tracking
    Peng Chu, Haibin Ling
    http://arxiv.org/abs/1904.04989v1

    • [cs.CV]Fast Accurate CT Metal Artifact Reduction using Data Domain Deep Learning
    Muhammad Usman Ghani, W. Clem Karl
    http://arxiv.org/abs/1904.04691v2

    • [cs.CV]Foreground-aware Pyramid Reconstruction for Alignment-free Occluded Person Re-identification
    Lingxiao He, Yinggang Wang, Wu Liu, Xingyu Liao, He Zhao, Zhenan Sun, Jiashi Feng
    http://arxiv.org/abs/1904.04975v1

    • [cs.CV]Gait Recognition via Disentangled Representation Learning
    Ziyuan Zhang, Luan Tran, Xi Yin, Yousef Atoum, Xiaoming Liu, Jian Wan, Nanxin Wang
    http://arxiv.org/abs/1904.04925v1

    • [cs.CV]H+O: Unified Egocentric Recognition of 3D Hand-Object Poses and Interactions
    Bugra Tekin, Federica Bogo, Marc Pollefeys
    http://arxiv.org/abs/1904.05349v1

    • [cs.CV]Heavy Rain Image Restoration: Integrating Physics Model and Conditional Adversarial Learning
    Ruotent Li, Loong Fah Cheong, Robby T. Tan
    http://arxiv.org/abs/1904.05050v1

    • [cs.CV]Image Quality Assessment for Omnidirectional Cross-reference Stitching
    Kaiwen Yu, Jia Li, Yu Zhang, Yifan Zhao, Long Xu
    http://arxiv.org/abs/1904.04960v1

    • [cs.CV]Imitating Targets from all sides: An Unsupervised Transfer Learning method for Person Re-identification
    Jiajie Tian, Zhu Teng, Rui Li, Yan Li, Baopeng Zhang, Jianping Fan
    http://arxiv.org/abs/1904.05020v1

    • [cs.CV]Instance Segmentation of Biological Images Using Harmonic Embeddings
    Victor Kulikov, Victor Lempitsky
    http://arxiv.org/abs/1904.05257v1

    • [cs.CV]Iterative Residual Refinement for Joint Optical Flow and Occlusion Estimation
    Junhwa Hur, Stefan Roth
    http://arxiv.org/abs/1904.05290v1

    • [cs.CV]Joint Manifold Diffusion for Combining Predictions on Decoupled Observations
    Kwang In Kim, Hyung Jin Chang
    http://arxiv.org/abs/1904.05159v1

    • [cs.CV]Large-Scale Long-Tailed Recognition in an Open World
    Ziwei Liu, Zhongqi Miao, Xiaohang Zhan, Jiayun Wang, Boqing Gong, Stella X. Yu
    http://arxiv.org/abs/1904.05160v1

    • [cs.CV]Localized Trajectories for 2D and 3D Action Recognition
    Konstantinos Papadopoulos, Girum Demisse, Enjie Ghorbel, Michel Antunes, Djamila Aouada, Björn Ottersten
    http://arxiv.org/abs/1904.05244v1

    • [cs.CV]Next-Active-Object prediction from Egocentric Videos
    Antonino Furnari, Sebastiano Battiato, Kristen Grauman, Giovanni Maria Farinella
    http://arxiv.org/abs/1904.05250v1

    • [cs.CV]Non-Lambertian Surface Shape and Reflectance Reconstruction Using Concentric Multi-Spectral Light Field
    Mingyuan Zhou, Yu Ji, Yuqi Ding, Jinwei Ye, S. Susan Young, Jingyi Yu
    http://arxiv.org/abs/1904.04875v1

    • [cs.CV]On zero-shot recognition of generic objects
    Tristan Hascoet, Yasuo Ariki, Tetsuya Takiguchi
    http://arxiv.org/abs/1904.04957v1

    • [cs.CV]POSEAMM: A Unified Framework for Solving Pose Problems using an Alternating Minimization Method
    Joao Campos, Joao R. Cardoso, Pedro Miraldo
    http://arxiv.org/abs/1904.04858v1

    • [cs.CV]Person Re-identification with Metric Learning using Privileged Information
    Xun Yang, Meng Wang, Dacheng Tao
    http://arxiv.org/abs/1904.05005v1

    • [cs.CV]Predicting Novel Views Using Generative Adversarial Query Network
    Phong Nguyen-Ha, Lam Huynh, Esa Rahtu, Janne Heikkila
    http://arxiv.org/abs/1904.05124v1

    • [cs.CV]Rain O’er Me: Synthesizing real rain to derain with data distillation
    Huangxing Lin, Yanlong Li, Xinghao Ding, Weihong Zeng, Yue Huang, John Paisley
    http://arxiv.org/abs/1904.04605v2

    • [cs.CV]Relational Knowledge Distillation
    Wonpyo Park, Dongju Kim, Yan Lu, Minsu Cho
    http://arxiv.org/abs/1904.05068v1

    • [cs.CV]SOSNet: Second Order Similarity Regularization for Local Descriptor Learning
    Yurun Tian, Xin Yu, Bin Fan, Fuchao Wu, Huub Heijnen, Vassileios Balntas
    http://arxiv.org/abs/1904.05019v1

    • [cs.CV]Semi-Supervised Graph Classification: A Hierarchical Graph Perspective
    Jia Li, Yu Rong, Hong Cheng, Helen Meng, Wenbing Huang, Junzhou Huang
    http://arxiv.org/abs/1904.05003v1

    • [cs.CV]Soft Conditional Computation
    Brandon Yang, Gabriel Bender, Quoc V. Le, Jiquan Ngiam
    http://arxiv.org/abs/1904.04971v1

    • [cs.CV]Spatiotemporal Knowledge Distillation for Efficient Estimation of Aerial Video Saliency
    Jia Li, Kui Fu, Shengwei Zhao, Shiming Ge
    http://arxiv.org/abs/1904.04992v1

    • [cs.CV]StegaStamp: Invisible Hyperlinks in Physical Photographs
    Matthew Tancik, Ben Mildenhall, Ren Ng
    http://arxiv.org/abs/1904.05343v1

    • [cs.CV]Text Guided Person Image Synthesis
    Xingran Zhou, Siyu Huang, Bin Li, Yingming Li, Jiachen Li, Zhongfei Zhang
    http://arxiv.org/abs/1904.05118v1

    • [cs.CV]ThumbNet: One Thumbnail Image Contains All You Need for Recognition
    Chen Zhao, Bernard Ghanem
    http://arxiv.org/abs/1904.05034v1

    • [cs.CV]Towards High-fidelity Nonlinear 3D Face Morphable Model
    Luan Tran, Feng Liu, Xiaoming Liu
    http://arxiv.org/abs/1904.04933v1

    • [cs.CV]Towards Universal Object Detection by Domain Attention
    Xudong Wang, Zhaowei Cai, Dashan Gao, Nuno Vasconcelos
    http://arxiv.org/abs/1904.04402v2

    • [cs.CV]Weakly Supervised Learning of Instance Segmentation with Inter-pixel Relations
    Jiwoon Ahn, Sunghyun Cho, Suha Kwak
    http://arxiv.org/abs/1904.05044v1

    • [cs.CV]Weakly-Supervised White and Grey Matter Segmentation in 3D Brain Ultrasound
    Beatrice Demiray, Julia Rackerseder, Stevica Bozhinoski, Nassir Navab
    http://arxiv.org/abs/1904.05191v1

    • [cs.CY]Adaptive Learning Expert System for Diagnosis and Management of Viral Hepatitis
    Henok Yared Agizew
    http://arxiv.org/abs/1904.04937v1

    • [cs.CY]Dungeons for Science: Mapping Belief Places and Spaces
    Aaron Dant, Philip Feldman, Wayne Lutters
    http://arxiv.org/abs/1904.05216v1

    • [cs.CY]Survey of ETA prediction methods in public transport networks
    Thilo Reich, Marcin Budka, Derek Robbins, David Hulbert
    http://arxiv.org/abs/1904.05037v1

    • [cs.DC]A Proposal for an Open Logistics Interconnection Reference Model for a Physical Internet
    Jean-Yves Colin, Hervé Mathieu, Moustafa Nakechbandi
    http://arxiv.org/abs/1904.05069v1

    • [cs.DC]A Three-Level Parallelisation Scheme and Application to the Nelder-Mead Algorithm
    Rima Kriauzienė, Andrej Bugajev, Raimondas Čiegis
    http://arxiv.org/abs/1904.05208v1

    • [cs.DC]Analyzes of the Distributed System Load with Multifractal Input Data Flows
    Kirichenko Lyudmyla, Radivilova Tamara
    http://arxiv.org/abs/1904.05218v1

    • [cs.DC]Applicability study of the PRIMAD model to LIGO gravitational wave search workflows
    Dylan Chapp, Danny Rorabaugh, Duncan Brown, Ewa Deelman, Karan Vahi, Von Welch, Michela Taufer
    http://arxiv.org/abs/1904.05211v1

    • [cs.DC]Application performance on a Cluster-Booster system
    Anke Kreuzer, Jorge Amaya, Norbert Eicker, Estela Suarez
    http://arxiv.org/abs/1904.05275v1

    • [cs.HC]A Model for Using Physiological Conditions for Proactive Tourist Recommendations
    Rinita Roy, Linus W. Dietz
    http://arxiv.org/abs/1904.05247v1

    • [cs.HC]Is Two Better than One? Effects of Multiple Agents on User Persuasion
    Reshmashree B. Kantharaju, Dominic De Franco, Alison Pease, Catherine Pelachaud
    http://arxiv.org/abs/1904.05248v1

    • [cs.IR]AMRec: An Intelligent System for Academic Method Recommendation
    Shanshan Huang, Xiaojun Wan, Xuewei Tang
    http://arxiv.org/abs/1904.04995v1

    • [cs.IR]Causal Embeddings for Recommendation: An Extended Abstract
    Stephen Bonner, Flavian Vasile
    http://arxiv.org/abs/1904.05165v1

    • [cs.IT]Cache-Aided Interference Management with Subexponential Subpacketization
    Hari Hara Suthan Chittoor, K V Sushena Sree, Prasad Krishnan
    http://arxiv.org/abs/1904.05213v1

    • [cs.IT]Cellular UAV-to-UAV Communications
    M. Mahdi Azari, Giovanni Geraci, Adrian Garcia-Rodriguez, Sofie Pollin
    http://arxiv.org/abs/1904.05104v1

    • [cs.IT]Decentralized Pliable Index Coding
    Tang Liu, Daniela Tuninetti
    http://arxiv.org/abs/1904.05272v1

    • [cs.IT]New Converse Bounds for Discrete Memoryless Channels in the Finite Blocklength Regime
    Yasutada Oohama
    http://arxiv.org/abs/1904.04894v1

    • [cs.IT]On the $k$-error linear complexity of subsequences of $d$-ary Sidel’nikov sequences over prime field $\mathbb{F}_{d}$
    Minghui Yang, Jiejing Wen
    http://arxiv.org/abs/1904.05083v1

    • [cs.IT]On the Optimality of Gauss’s Algorithm over Euclidean Imaginary Quadratic Fields
    Christian Porter, Shanxiang Lyu, Cong Ling
    http://arxiv.org/abs/1904.05285v1

    • [cs.IT]On the Scalar-Help-Vector Source Coding Problem
    C. Deng, S. Wu, Q. Zhang
    http://arxiv.org/abs/1904.05179v1

    • [cs.IT]Private Pliable Index Coding
    Tang Liu, Daniela Tuninetti
    http://arxiv.org/abs/1904.04468v2

    • [cs.IT]Tensor Representation of Rank-Metric Codes
    Eimear Byrne, Alessandro Neri, Alberto Ravagnani, John Sheekey
    http://arxiv.org/abs/1904.05227v1

    • [cs.LG]Analysis of the Gradient Descent Algorithm for a Deep Neural Network Model with Skip-connections
    Weinan E, Chao Ma, Lei Wu
    http://arxiv.org/abs/1904.05263v1

    • [cs.LG]Black-box Adversarial Attacks on Video Recognition Models
    Linxi Jiang, Xingjun Ma, Shaoxiang Chen, James Bailey, Yu-Gang Jiang
    http://arxiv.org/abs/1904.05181v1

    • [cs.LG]Discovering patterns of online popularity from time series
    Mert Ozer, Anna Sapienza, Andrés Abeliuk, Goran Muric, Emilio Ferrara
    http://arxiv.org/abs/1904.04994v1

    • [cs.LG]Few-shot Learning: A Survey
    Yaqing Wang, Quanming Yao
    http://arxiv.org/abs/1904.05046v1

    • [cs.LG]Handling temporality of clinical events with application to Adverse Drug Event detection in Electronic Health Records: A scoping review
    Maria Bampa
    http://arxiv.org/abs/1904.04940v1

    • [cs.LG]Identification of Predictive Sub-Phenotypes of Acute Kidney Injury using Structured and Unstructured Electronic Health Record Data with Memory Networks
    Zhenxing Xu, Jingyuan Chou, Xi Sheryl Zhang, Yuan Luo, Tamara Isakova, Prakash Adekkanattu, Jessica S. Ancker, Guoqian Jiang, Richard C. Kiefer, Jennifer A. Pacheco, Luke V. Rasmussen, Jyotishman Pathak, Fei Wang
    http://arxiv.org/abs/1904.04990v1

    • [cs.LG]Just Jump: Dynamic Neighborhood Aggregation in Graph Neural Networks
    Matthias Fey
    http://arxiv.org/abs/1904.04849v1

    • [cs.LG]Knowledge Squeezed Adversarial Network Compression
    Shu Changyong, Li Peng, Xie Yuan, Qu Yanyun, Dai Longquan, Ma Lizhuang
    http://arxiv.org/abs/1904.05100v1

    • [cs.LG]Multitask Hopfield Networks
    Marco Frasca, Giuliano Grossi, Giorgio Valentini
    http://arxiv.org/abs/1904.05098v1

    • [cs.LG]SWNet: Small-World Neural Networks and Rapid Convergence
    Mojan Javaheripi, Bita Darvish Rouhani, Farinaz Koushanfar
    http://arxiv.org/abs/1904.04862v1

    • [cs.LG]Universal Lipschitz Approximation in Bounded Depth Neural Networks
    Jeremy E. J. Cohen, Todd Huster, Ra Cohen
    http://arxiv.org/abs/1904.04861v1

    • [cs.LG]What’s in a Name? Reducing Bias in Bios without Access to Protected Attributes
    Alexey Romanov, Maria De-Arteaga, Hanna Wallach, Jennifer Chayes, Christian Borgs, Alexandra Chouldechova, Sahin Geyik, Krishnaram Kenthapadi, Anna Rumshisky, Adam Tauman Kalai
    http://arxiv.org/abs/1904.05233v1

    • [cs.MA]Modelling Social Care Provision in An Agent-Based Framework with Kinship Networks
    Umberto Gostoli, Eric Silverman
    http://arxiv.org/abs/1904.05267v1

    • [cs.NE]A review on Neural Turing Machine
    Soroor Malekmohammadi Faradonbeh, Faramarz Safi-Esfahani
    http://arxiv.org/abs/1904.05061v1

    • [cs.NE]Black-Box Complexity of the Binary Value Function
    Nina Bulanova, Maxim Buzdalov
    http://arxiv.org/abs/1904.04867v1

    • [cs.NE]Classification of Two-channel Signals by Means of Genetic Programming
    Daniel Rivero, Enrique Fernandez-Blanco, Julian Dorado, Alejandro Pazos
    http://arxiv.org/abs/1904.05027v1

    • [cs.NE]Fitness Dependent Optimizer: Inspired by the Bee Swarming Reproductive Process
    Jaza M. Abdullah, Tarik A. Rashid
    http://arxiv.org/abs/1904.05226v1

    • [cs.NI]Designing Sensing as a Service (S2aaS) Ecosystem for Internet of Things
    Charith Perera, Mahmoud Barhamgi, Suparna De, Tim Baarslag, Massimo Vecchio, Kim-Kwang Raymond Choo
    http://arxiv.org/abs/1904.05023v1

    • [cs.PF]Cross-Platform Performance Portability Using Highly Parametrized SYCL Kernels
    John Lawson, Mehdi Goli, Duncan McBain, Daniel Soutar, Louis Sugy
    http://arxiv.org/abs/1904.05347v1

    • [cs.RO]Asymptotic Optimality of a Time Optimal Path Parametrization Algorithm
    Igor Spasojevic, Varun Murali, Sertac Karaman
    http://arxiv.org/abs/1904.04968v1

    • [cs.RO]Automatic 3D Mapping for Tree Diameter Measurements in Inventory Operations
    Jean-François Tremblay, Martin Béland, François Pomerleau, Richard Gagnon, Philippe Giguère
    http://arxiv.org/abs/1904.05281v1

    • [cs.RO]Compare Contact Model-based Control and Contact Model-free Learning: A Survey of Robotic Peg-in-hole Assembly Strategies
    Jing Xu, Zhimin Hou, Zhi Liu, Hong Qiao
    http://arxiv.org/abs/1904.05240v1

    • [cs.RO]Differential Dynamic Programming for Multi-Phase Rigid Contact Dynamics
    Rohan Budhiraja, Justin Carpentier, Carlos Mastalli, Nicolas Mansard
    http://arxiv.org/abs/1904.05072v1

    • [cs.RO]Indoor Testing and Simulation Platform for Close-distance Visual Inspection of Complex Structures using Micro Quadrotor UAV
    Zhexiong Shang, Zhigang Shen
    http://arxiv.org/abs/1904.05271v1

    • [cs.RO]Novel Quadrotor Manipulation System
    Ahmed Khalifa
    http://arxiv.org/abs/1904.05090v1

    • [cs.RO]Vision-model-based Real-time Localization of Unmanned Aerial Vehicle for Autonomous Structure Inspection under GPS-denied Environment
    Zhexiong Shang, Zhigang Shen
    http://arxiv.org/abs/1904.04987v1

    • [cs.SD]A Framework for Multi-f0 Modeling in SATB Choir Recordings
    Helena Cuesta, Emilia Gómez, Pritish Chandna
    http://arxiv.org/abs/1904.05086v1

    • [cs.SD]Acoustic Scene Classification by Implicitly Identifying Distinct Sound Events
    Hongwei Song, Jiqing Han, Shiwen Deng, Zhihao Du
    http://arxiv.org/abs/1904.05204v1

    • [cs.SD]An Interactive Musical Prediction System with Mixture Density Recurrent Neural Networks
    Charles P Martin, Jim Torresen
    http://arxiv.org/abs/1904.05009v1

    • [cs.SD]Distributed Deep Learning Strategies For Automatic Speech Recognition
    Wei Zhang, Xiaodong Cui, Ulrich Finkler, Brian Kingsbury, George Saon, David Kung, Michael Picheny
    http://arxiv.org/abs/1904.04956v1

    • [cs.SD]Neuralogram: A Deep Neural Network Based Representation for Audio Signals
    Prateek Verma, Chris Chafe, Jonathan Berger
    http://arxiv.org/abs/1904.05073v1

    • [cs.SI]A Classification Algorithm to Recognize Fake News Websites
    Davide Bennato, Giuseppe Pernagallo, Benedetto Torrisi
    http://arxiv.org/abs/1904.05305v1

    • [cs.SI]Adapting Stochastic Block Models to Power-Law Degree Distributions
    Maoying Qiao, Jun Yu, Wei Bian, Qiang Li, Dacheng Tao
    http://arxiv.org/abs/1904.05335v1

    • [cs.SI]An In-Depth Comparison of s-t Reliability Algorithms over Uncertain Graphs
    Xiangyu Ke, Arijit Khan, Leroy Lim Hong Quan
    http://arxiv.org/abs/1904.05300v1

    • [cs.SI]Bayesian estimation of the latent dimension and communities in stochastic blockmodels
    Francesco Sanna Passino, Nicholas A. Heard
    http://arxiv.org/abs/1904.05333v1

    • [cs.SI]Better Safe Than Sorry: An Adversarial Approach to Improve Social Bot Detection
    Stefano Cresci, Marinella Petrocchi, Angelo Spognardi, Stefano Tognazzi
    http://arxiv.org/abs/1904.05132v1

    • [cs.SI]Community Detection in Social Network using Temporal Data
    Victor Stany Rozario, A. Z. M. Ehtesham Chowdhury, Muhammad Sarwar Jahan Morshed
    http://arxiv.org/abs/1904.05291v1

    • [cs.SI]Environmental Changes and the Dynamics of Musical Identity
    Samuel F. Way, Santiago Gil, Ian Anderson, Aaron Clauset
    http://arxiv.org/abs/1904.04948v1

    • [cs.SI]Hierarchical Temporal Convolutional Networks for Dynamic Recommender Systems
    Jiaxuan You, Yichen Wang, Aditya Pal, Pong Eksombatchai, Chuck Rosenberg, Jure Leskovec
    http://arxiv.org/abs/1904.04381v2

    • [cs.SI]Nine Quick Tips for Analyzing Network Data
    Vincent Miele, Catherine Matias, Stephane Robin, Stéphane Dray
    http://arxiv.org/abs/1904.05334v1

    • [cs.SI]Understanding Information Flow in Cascades Using Network Motifs
    Soumajyoti Sarkar, Hamidreza Alvari, Paulo Shakarian
    http://arxiv.org/abs/1904.05161v1

    • [cs.SY]Theory and implementation of event-triggered stabilization over digital channels
    Mohammad Javad Khojasteh, Mojtaba Hedayatpour, Massimo Franceschetti
    http://arxiv.org/abs/1904.05016v1

    • [econ.EM]Local Polynomial Estimation of Time-Varying Parameters in Nonlinear Models
    Dennis Kristensen, Young Jun Lee
    http://arxiv.org/abs/1904.05209v1

    • [econ.EM]Solving Dynamic Discrete Choice Models Using Smoothing and Sieve Methods
    Dennis Kristensen, Patrick K. Mogensen, Jong Myun Moon, Bertel Schjerning
    http://arxiv.org/abs/1904.05232v1

    • [eess.SP]Cell Discovery in Millimeter Wave Systems: Physical Layer Implementations
    Rashmi P, Manoj A, Arun Pachai Kannu
    http://arxiv.org/abs/1904.05014v1

    • [math.CO]Divergent permutations
    Emanuela Fachini, János Körner
    http://arxiv.org/abs/1904.05113v1

    • [math.ST]Extreme value theory based confidence intervals for the parameters of a symmetric Lévy-stable distribution
    Djamel Meraghni, Louiza Soltane
    http://arxiv.org/abs/1904.04863v1

    • [math.ST]Infill asymptotics and bandwidth selection for kernel estimators of spatial intensity functions
    M. N. M. van Lieshout
    http://arxiv.org/abs/1904.05095v1

    • [physics.med-ph]Accelerated Nuclear Magnetic Resonance Spectroscopy with Deep Learning
    Xiaobo Qu, Yihui Huang, Hengfa Lu, Tianyu Qiu, Di Guo, Vladislav Orekhov, Zhong Chen
    http://arxiv.org/abs/1904.05168v1

    • [q-bio.PE]Nowcasting Influenza Incidence with CDC Web Traffic Data: A Demonstration Using a Novel Data Set
    Wendy K. Caldwell, Geoffrey Fairchild, Sara Y. Del Valle
    http://arxiv.org/abs/1904.04931v1

    • [q-bio.QM]Classification of signaling proteins based on molecular star graph descriptors using Machine Learning models
    Carlos Fernandez-Lozano, Ruben F. Cuinas, Jose A. Seoane, Enrique Fernandez-Blanco, Julian Dorado, Cristian R. Munteanu
    http://arxiv.org/abs/1904.05052v1

    • [stat.AP]Association of night-waking and inattention/hyperactivity symptoms trajectories in preschool-aged children
    Eve Reynaud, Anne Forhan, Barbara Heude, Marie-Aline Charles, Sabine Plancoulaine
    http://arxiv.org/abs/1904.05043v1

    • [stat.AP]Cord-blood vitamin D level and night sleep duration in preschoolers in the EDEN mother-child birth cohort
    Chu Yan Yong, Eve Reynaud, Anne Forhan, Partricia Dargent-Molina, Barbara Heude, Marie-Aline Charles, Sabine Plancoulaine
    http://arxiv.org/abs/1904.05070v1

    • [stat.AP]Early features associated with the neurocognitive development at 36 months of age: the AuBE study
    Sabine Plancoulaine, Camille Stagnara, Sophie Flori, Flora Bat-Pitault, Jian-Sheng Lin, Hugues Patural, Patricia Franco
    http://arxiv.org/abs/1904.05026v1

    • [stat.AP]Google Street View image of a house predicts car accident risk of its resident
    Kinga Kita, Łukasz Kidziński
    http://arxiv.org/abs/1904.05270v1

    • [stat.AP]Multiple imputation and selection of ordinal level 2 predictors in multilevel models. An analysis of the relationship between student ratings and teacher beliefs and practices
    Leonardo Grilli, Maria Francesca Marino, Omar Paccagnella, Carla Rampichini
    http://arxiv.org/abs/1904.05062v1

    • [stat.AP]Night sleep duration trajectories and associated factors among preschool children from the EDEN cohort
    Sabine Plancoulaine, Eve Reynaud, Anne Forhan, Sandrine Lioret, Barbara Heude, Marie-Aline Charles
    http://arxiv.org/abs/1904.05042v1

    • [stat.ME]A Nonparametric Normality Test for High-dimensional Data
    Hao Chen, Yin Xia
    http://arxiv.org/abs/1904.05289v1

    • [stat.ME]A Reproducing Kernel Hilbert Space log-rank test for the two-sample problem
    Tamara Fernandez, Nicolas Rivera
    http://arxiv.org/abs/1904.05187v1

    • [stat.ME]Ensemble updating of binary state vectors by maximising the expected number of unchanged components
    Margrethe Kvale Loe, Håkon Tjelmeland
    http://arxiv.org/abs/1904.05107v1

    • [stat.ME]Improving interim decisions in randomized trials by exploiting information on short-term outcomes and prognostic baseline covariates
    Kelly Van Lancker, An Vandebosch, Stijn Vansteelandt
    http://arxiv.org/abs/1904.04876v1

    • [stat.ME]Network depth: identifying median and contours in complex networks
    G. Bertagnolli, C. Agostinelli, M. De Domenico
    http://arxiv.org/abs/1904.05060v1

    • [stat.ML]Active Learning for Decision-Making from Imbalanced Observational Data
    Iiris Sundin, Peter Schulam, Eero Siivola, Aki Vehtari, Suchi Saria, Samuel Kaski
    http://arxiv.org/abs/1904.05268v1

    • [stat.ML]Attraction-Repulsion clustering with applications to fairness
    Eustasio del Barrio, Hristo Inouzhe, Jean-Michel Loubes
    http://arxiv.org/abs/1904.05254v1

    • [stat.ML]Enhancing Time Series Momentum Strategies Using Deep Neural Networks
    Bryan Lim, Stefan Zohren, Stephen Roberts
    http://arxiv.org/abs/1904.04912v1

    • [stat.ML]Know Your Boundaries: Constraining Gaussian Processes by Variational Harmonic Features
    Arno Solin, Manon Kok
    http://arxiv.org/abs/1904.05207v1

    • [stat.ML]New Computational and Statistical Aspects of Regularized Regression with Application to Rare Feature Selection and Aggregation
    Amin Jalali, Adel Javanmard, Maryam Fazel
    http://arxiv.org/abs/1904.05338v1

    • [stat.ML]Novel Uncertainty Framework for Deep Learning Ensembles
    Tal Kachman, Michal Moshkovitz, Michal Rosen-Zvi
    http://arxiv.org/abs/1904.04917v1

    • [stat.ML]Time-Series Analysis via Low-Rank Matrix Factorization Applied to Infant-Sleep Data
    Sheng Liu, Mark Cheng, Hayley Brooks, Wayne Mackey, David J. Heeger, Esteban G. Tabak, Carlos Fernandez-Granda
    http://arxiv.org/abs/1904.04780v2