astro-ph.IM - 仪器仪表和天体物理学方法

    cs.AI - 人工智能 cs.CL - 计算与语言 cs.CR - 加密与安全 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DC - 分布式、并行与集群计算 cs.DS - 数据结构与算法 cs.GT - 计算机科学与博弈论 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.NE - 神经与进化计算 cs.RO - 机器人学 cs.SD - 声音处理 cs.SI - 社交网络与信息网络 cs.SY - 系统与控制 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SP - 信号处理 math.NA - 数值分析 math.OC - 优化与控制 math.ST - 统计理论 physics.soc-ph - 物理学与社会 q-bio.QM - 定量方法 q-fin.ST - 统计金融学 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [astro-ph.IM]A Stochastic LBFGS Algorithm for Radio Interferometric Calibration
    • [cs.AI]MODL: A Modular Ontology Design Library
    • [cs.AI]Non-locally Encoder-Decoder Convolutional Network for Whole Brain QSM Inversion
    • [cs.AI]Ontologies-based Architecture for Sociocultural Knowledge Co-Construction Systems
    • [cs.CL]A Grounded Unsupervised Universal Part-of-Speech Tagger for Low-Resource Languages
    • [cs.CL]A high quality and phonetic balanced speech corpus for Vietnamese
    • [cs.CL]Adapting RNN Sequence Prediction Model to Multi-label Set Prediction
    • [cs.CL]ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission
    • [cs.CL]Corpora Generation for Grammatical Error Correction
    • [cs.CL]Cross-topic distributional semantic representations via unsupervised mappings
    • [cs.CL]FrameRank: A Text Processing Approach to Video Summarization
    • [cs.CL]Frequency vs. Association for Constraint Selection in Usage-Based Construction Grammar
    • [cs.CL]Gating Mechanisms for Combining Character and Word-level Word Representations: An Empirical Study
    • [cs.CL]Generating Animations from Screenplays
    • [cs.CL]Modeling Global Syntactic Variation in English Using Dialect Classification
    • [cs.CL]Modeling the Complexity and Descriptive Adequacy of Construction Grammars
    • [cs.CL]Multi-lingual Dialogue Act Recognition with Deep Learning Methods
    • [cs.CL]Providing Advanced Access to Historical War Memoirs Through the Identification of Events, Participants and Roles
    • [cs.CL]Scalable Cross-Lingual Transfer of Neural Sentence Embeddings
    • [cs.CL]Searching News Articles Using an Event Knowledge Graph Leveraged by Wikidata
    • [cs.CL]wav2vec: Unsupervised Pre-training for Speech Recognition
    • [cs.CR]A Survey of Distributed Consensus Protocols for Blockchain Networks
    • [cs.CR]Information Leakage in Encrypted Deduplication via Frequency Analysis: Attacks and Defenses
    • [cs.CR]Privacy protocols
    • [cs.CV]3D Dense Face Alignment via Graph Convolution Networks
    • [cs.CV]A Relation-Augmented Fully Convolutional Network for Semantic Segmentationin Aerial Scenes
    • [cs.CV]A Simple Baseline for Audio-Visual Scene-Aware Dialog
    • [cs.CV]An Analysis of Pre-Training on Object Detection
    • [cs.CV]An Empirical Study of Spatial Attention Mechanisms in Deep Networks
    • [cs.CV]Analyzing Dynamical Brain Functional Connectivity As Trajectories on Space of Covariance Matrices
    • [cs.CV]Attentive Action and Context Factorization
    • [cs.CV]BAOD: Budget-Aware Object Detection
    • [cs.CV]Black-Box Decision based Adversarial Attack with Symmetric $α$-stable Distribution
    • [cs.CV]C-MIL: Continuation Multiple Instance Learning for Weakly Supervised Object Detection
    • [cs.CV]C3AE: Exploring the Limits of Compact Model for Age Estimation
    • [cs.CV]Detecting Repeating Objects using Patch Correlation Analysis
    • [cs.CV]Difficulty-aware Image Super Resolution via Deep Adaptive Dual-Network
    • [cs.CV]Direct Fitting of Gaussian Mixture Models
    • [cs.CV]Efficient and Robust Registration on the 3D Special Euclidean Group
    • [cs.CV]Elucidating image-to-set prediction: An analysis of models, losses and datasets
    • [cs.CV]Expressive Body Capture: 3D Hands, Face, and Body from a Single Image
    • [cs.CV]FRNET: Flattened Residual Network for Infant MRI Skull Stripping
    • [cs.CV]FTGAN: A Fully-trained Generative Adversarial Networks for Text to Face Generation
    • [cs.CV]Factor Graph Attention
    • [cs.CV]Foreground-aware Pyramid Reconstruction for Alignment-free Occluded Person Re-identification
    • [cs.CV]Generalizing Monocular 3D Human Pose Estimation in the Wild
    • [cs.CV]Generating Multiple Hypotheses for 3D Human Pose Estimation with Mixture Density Network
    • [cs.CV]Improved training of binary networks for human pose estimation and image recognition
    • [cs.CV]Instance Segmentation based Semantic Matting for Compositing Applications
    • [cs.CV]Learning Single Camera Depth Estimation using Dual-Pixels
    • [cs.CV]Learning joint reconstruction of hands and manipulated objects
    • [cs.CV]Learning to Generate Synthetic Data via Compositing
    • [cs.CV]MAIN: Multi-Attention Instance Network for Video Segmentation
    • [cs.CV]Pixel-Adaptive Convolutional Neural Networks
    • [cs.CV]Predicting Future Pedestrian Motion in Video Sequences using Crowd Simulation
    • [cs.CV]Predicting Progression of Age-related Macular Degeneration from Fundus Images using Deep Learning
    • [cs.CV]Probabilistic Permutation Synchronization using the Riemannian Structure of the Birkhoff Polytope
    • [cs.CV]Reasoning Visual Dialogs with Structural and Partial Observations
    • [cs.CV]Reconstructing Network Inputs with Additive Perturbation Signatures
    • [cs.CV]Recurrent Space-time Graphs for Video Understanding
    • [cs.CV]Reducing Lateral Visual Biases in Displays
    • [cs.CV]Retinal Vessels Segmentation Based on Dilated Multi-Scale Convolutional Neural Network
    • [cs.CV]Sliced Wasserstein Generative Models
    • [cs.CV]Software Based Higher Order Structural Foot Abnormality Detection Using Image Processing
    • [cs.CV]Spherical Regression: Learning Viewpoints, Surface Normals and 3D Rotations on n-Spheres
    • [cs.CV]Two Body Problem: Collaborative Visual Task Completion
    • [cs.CV]Unified Visual-Semantic Embeddings: Bridging Vision and Language with Structured Meaning Representations
    • [cs.CV]Variational Information Distillation for Knowledge Transfer
    • [cs.CV]Weakly-Supervised White and Grey Matter Segmentation in 3D Brain Ultrasound
    • [cs.CV]YUVMultiNet: Real-time YUV multi-task CNN for autonomous driving
    • [cs.CY]Dungeons for Science: Mapping Belief Places and Spaces
    • [cs.CY]Leveraging Distributed Ledger Technologies and Blockchain to Combat Fake News
    • [cs.CY]Political Discussions in Homogeneous and Cross-Cutting Communication Spaces
    • [cs.CY]The Role of Big Data Analytics in Industrial Internet of Things
    • [cs.DC]Energy-Efficient High-Throughput Data Transfers via Dynamic CPU Frequency and Core Scaling
    • [cs.DC]FECBench: A Holistic Interference-aware Approach for Application Performance Modeling
    • [cs.DC]Locality of not-so-weak coloring
    • [cs.DC]Modular programming of computing media using spatial types, for artificial physics
    • [cs.DC]Optimal Edge User Allocation in Edge Computing with Variable Sized Vector Bin Packing
    • [cs.DC]R-Storm: Resource-Aware Scheduling in Storm
    • [cs.DC]Reducing Communication in Algebraic Multigrid with Multi-step Node Aware Communication
    • [cs.DC]Timely-Throughput Optimal Coded Computing over Cloud Networks
    • [cs.DS]Efficient Distributed Workload (Re-)Embedding
    • [cs.GT]The Convergence of Iterative Delegations in Liquid Democracy in a Social Network
    • [cs.IR]Investigating Retrieval Method Selection with Axiomatic Features
    • [cs.IR]Searching Heterogeneous Personal Digital Traces
    • [cs.IT]Centralized Coded Caching with User Cooperation
    • [cs.IT]Covariance Evolution for Spatially “Mt. Fuji” Coupled LDPC Codes
    • [cs.IT]On Code Design for Wireless Channels with Additive Radar Interference
    • [cs.IT]On Error Decoding of Locally Repairable and Partial MDS Codes
    • [cs.IT]On Fractional Decoding of Reed-Solomon Codes
    • [cs.IT]On Model Coding for Distributed Inference and Transmission in Mobile Edge Computing Systems
    • [cs.IT]On the 2-Adic Complexity of the Ding-Helleseth-Martinsen Binary Sequences
    • [cs.IT]Optimality in Quantum Data Compression using Dynamical Entropy
    • [cs.IT]Solving the large syndrome calculation problem in steganography
    • [cs.IT]The α-κ-μ Shadowed Fading Distribution: Statistical Characterization and Applications
    • [cs.LG]Analysis of the Gradient Descent Algorithm for a Deep Neural Network Model with Skip-connections
    • [cs.LG]Bridging Theory and Algorithm for Domain Adaptation
    • [cs.LG]Deep Learning for System Trace Restoration
    • [cs.LG]Deep Neural Network Ensembles
    • [cs.LG]Enhancing Decision Tree based Interpretation of Deep Neural Networks through L1-Orthogonal Regularization
    • [cs.LG]FairVis: Visual Analytics for Discovering Intersectional Bias in Machine Learning
    • [cs.LG]KeyIn: Discovering Subgoal Structure with Keyframe-based Video Prediction
    • [cs.LG]Knowledge Flow: Improve Upon Your Teachers
    • [cs.LG]Learning Trajectory Prediction with Continuous Inverse Optimal Control via Langevin Sampling of Energy-Based Models
    • [cs.LG]Max-Sliced Wasserstein Distance and its use for GANs
    • [cs.LG]Membership Inference Attacks on Sequence-to-Sequence Models
    • [cs.LG]Mitigating Information Leakage in Image Representations: A Maximum Entropy Approach
    • [cs.LG]Modified online Newton step based on element wise multiplication
    • [cs.LG]MxML: Mixture of Meta-Learners for Few-Shot Classification
    • [cs.LG]One-shot Voice Conversion by Separating Speaker and Content Representations with Instance Normalization
    • [cs.LG]Recurrent Event Network for Reasoning over Temporal Knowledge Graphs
    • [cs.LG]ReinBo: Machine Learning pipeline search and configuration with Bayesian Optimization embedded Reinforcement Learning
    • [cs.LG]Relational Graph Attention Networks
    • [cs.LG]Restricted Isometry Property under High Correlations
    • [cs.LG]Safer Deep RL with Shallow MCTS: A Case Study in Pommerman
    • [cs.LG]Scalarizing Functions in Bayesian Multiobjective Optimization
    • [cs.LG]Unsupervised Deep Learning Algorithm for PDE-based Forward and Inverse Problems
    • [cs.LG]Using Weight Mirrors to Improve Feedback Alignment
    • [cs.NE]GP-HD: Using Genetic Programming to Generate Dynamical Systems Models for Health Care
    • [cs.NE]Multiplicative Up-Drift
    • [cs.NE]Short note on the behavior of recurrent neural network for noisy dynamical system
    • [cs.RO]Autonomous Robot Navigation with Rich Information Mapping in Nuclear Storage Environments
    • [cs.RO]Efficient LiDAR data compression for embedded V2I or V2V data handling
    • [cs.RO]Improvisation through Physical Understanding: Using Novel Objects as Tools with Visual Foresight
    • [cs.RO]Learning to Take Good Pictures of People with a Robot Photographer
    • [cs.RO]Safe, Aggressive Quadrotor Flight via Reachability-based Trajectory Design
    • [cs.RO]ViTa-SLAM: Biologically-Inspired Visuo-Tactile SLAM
    • [cs.SD]STC Antispoofing Systems for the ASVspoof2019 Challenge
    • [cs.SI]Percolation Threshold for Competitive Influence in Random Networks
    • [cs.SY]Game-Theoretic Modeling of Multi-Vehicle Interactions at Uncontrolled Intersections
    • [eess.AS]RawNet: Fast End-to-End Neural Vocoder
    • [eess.IV]CNN-Based Deep Architecture for Reinforced Concrete Delamination Segmentation Through Thermography
    • [eess.IV]Diagnosis of Celiac Disease and Environmental Enteropathy on Biopsy Images Using Color Balancing on Convolutional Neural Networks
    • [eess.SP]Adaptive Virtual Waveform Design for Millimeter-Wave Joint Communication-Radar
    • [math.NA]A Kaczmarz Algorithm for Solving Tree Based Distributed Systems of Equations
    • [math.OC]Connections Between Adaptive Control and Optimization in Machine Learning
    • [math.OC]Constructing Clustering Transformations
    • [math.OC]Deep learning as optimal control problems: models and numerical methods
    • [math.OC]Least Squares Auto-Tuning
    • [math.ST]Comparing a Large Number of Multivariate Distributions
    • [math.ST]Efficient Entropy Estimation for Stationary Time Series
    • [physics.soc-ph]Relational flexibility of network elements based on inconsistent community detection
    • [physics.soc-ph]Social structure formation in a network of agents playing a hybrid of ultimatum and dictator games
    • [q-bio.QM]Scanner Invariant Representations for Diffusion MRI Harmonization
    • [q-fin.ST]Feature Engineering for Mid-Price Prediction Forecasting with Deep Learning
    • [stat.ME]FATSO: A family of operators for variable selection in linear models
    • [stat.ME]Practical Valid Inferences for the Two-Sample Binomial Problem
    • [stat.ME]Robust Principal Component Analysis for Compositional Tables
    • [stat.ML]A Selective Overview of Deep Learning
    • [stat.ML]A machine learning approach for underwater gas leakage detection
    • [stat.ML]Autoregressive Energy Machines
    • [stat.ML]Compressed sensing reconstruction using Expectation Propagation
    • [stat.ML]The Weight Function in the Subtree Kernel is Decisive

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    • [astro-ph.IM]A Stochastic LBFGS Algorithm for Radio Interferometric Calibration
    Sarod Yatawatta, Lukas De Clercq, Hanno Spreeuw, Faruk Diblen
    http://arxiv.org/abs/1904.05619v1

    • [cs.AI]MODL: A Modular Ontology Design Library
    Cogan Shimizu, Quinn Hirt, Pascal Hitzler
    http://arxiv.org/abs/1904.05405v1

    • [cs.AI]Non-locally Encoder-Decoder Convolutional Network for Whole Brain QSM Inversion
    Juan Liu, Kevin M. Koch
    http://arxiv.org/abs/1904.05493v1

    • [cs.AI]Ontologies-based Architecture for Sociocultural Knowledge Co-Construction Systems
    Guidedi Kaladzavi, Papa Fary Diallo, Cedric Béré, Olivier Corby, Isabelle Mirbel, Moussa Lo, Dina Taiwe Kolyang
    http://arxiv.org/abs/1904.05596v1

    • [cs.CL]A Grounded Unsupervised Universal Part-of-Speech Tagger for Low-Resource Languages
    Ronald Cardenas, Ying Lin, Heng Ji, Jonathan May
    http://arxiv.org/abs/1904.05426v1

    • [cs.CL]A high quality and phonetic balanced speech corpus for Vietnamese
    Pham Ngoc Phuong, Quoc Truong Do, Luong Chi Mai
    http://arxiv.org/abs/1904.05569v1

    • [cs.CL]Adapting RNN Sequence Prediction Model to Multi-label Set Prediction
    Kechen Qin, Cheng Li, Virgil Pavlu, Javed A. Aslam
    http://arxiv.org/abs/1904.05829v1

    • [cs.CL]ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission
    Kexin Huang, Jaan Altosaar, Rajesh Ranganath
    http://arxiv.org/abs/1904.05342v2

    • [cs.CL]Corpora Generation for Grammatical Error Correction
    Jared Lichtarge, Chris Alberti, Shankar Kumar, Noam Shazeer, Niki Parmar, Simon Tong
    http://arxiv.org/abs/1904.05780v1

    • [cs.CL]Cross-topic distributional semantic representations via unsupervised mappings
    Eleftheria Briakou, Nikos Athanasiou, Alexandros Potamianos
    http://arxiv.org/abs/1904.05674v1

    • [cs.CL]FrameRank: A Text Processing Approach to Video Summarization
    Zhuo Lei, Chao Zhang, Qian Zhang, Guoping Qiu
    http://arxiv.org/abs/1904.05544v1

    • [cs.CL]Frequency vs. Association for Constraint Selection in Usage-Based Construction Grammar
    Jonathan Dunn
    http://arxiv.org/abs/1904.05529v1

    • [cs.CL]Gating Mechanisms for Combining Character and Word-level Word Representations: An Empirical Study
    Jorge A. Balazs, Yutaka Matsuo
    http://arxiv.org/abs/1904.05584v1

    • [cs.CL]Generating Animations from Screenplays
    Yeyao Zhang, Eleftheria Tsipidi, Sasha Schriber, Mubbasir Kapadia, Markus Gross, Ashutosh Modi
    http://arxiv.org/abs/1904.05440v1

    • [cs.CL]Modeling Global Syntactic Variation in English Using Dialect Classification
    Jonathan Dunn
    http://arxiv.org/abs/1904.05527v1

    • [cs.CL]Modeling the Complexity and Descriptive Adequacy of Construction Grammars
    Jonathan Dunn
    http://arxiv.org/abs/1904.05588v1

    • [cs.CL]Multi-lingual Dialogue Act Recognition with Deep Learning Methods
    Jiří Martínek, Pavel Král, Ladislav Lenc, Christophe Cerisara
    http://arxiv.org/abs/1904.05606v1

    • [cs.CL]Providing Advanced Access to Historical War Memoirs Through the Identification of Events, Participants and Roles
    Marco Rovera, Federico Nanni, Simone Paolo Ponzetto
    http://arxiv.org/abs/1904.05439v1

    • [cs.CL]Scalable Cross-Lingual Transfer of Neural Sentence Embeddings
    Hanan Aldarmaki, Mona Diab
    http://arxiv.org/abs/1904.05542v1

    • [cs.CL]Searching News Articles Using an Event Knowledge Graph Leveraged by Wikidata
    Charlotte Rudnik, Thibault Ehrhart, Olivier Ferret, Denis Teyssou, Raphaël Troncy, Xavier Tannier
    http://arxiv.org/abs/1904.05557v1

    • [cs.CL]wav2vec: Unsupervised Pre-training for Speech Recognition
    Steffen Schneider, Alexei Baevski, Ronan Collobert, Michael Auli
    http://arxiv.org/abs/1904.05862v1

    • [cs.CR]A Survey of Distributed Consensus Protocols for Blockchain Networks
    Yang Xiao, Ning Zhang, Wenjing Lou, Y. Thomas Hou
    http://arxiv.org/abs/1904.04098v1

    • [cs.CR]Information Leakage in Encrypted Deduplication via Frequency Analysis: Attacks and Defenses
    Jingwei Li, Patrick P. C. Lee, Chufeng Tan, Chuan Qin, Xiaosong Zhang
    http://arxiv.org/abs/1904.05736v1

    • [cs.CR]Privacy protocols
    Jason Castiglione, Dusko Pavlovic, Peter-Michael Seidel
    http://arxiv.org/abs/1904.05540v1

    • [cs.CV]3D Dense Face Alignment via Graph Convolution Networks
    Huawei Wei, Shuang Liang, Yichen Wei
    http://arxiv.org/abs/1904.05562v1

    • [cs.CV]A Relation-Augmented Fully Convolutional Network for Semantic Segmentationin Aerial Scenes
    Lichao Mou, Yuansheng Hua, Xiao Xiang Zhu
    http://arxiv.org/abs/1904.05730v1

    • [cs.CV]A Simple Baseline for Audio-Visual Scene-Aware Dialog
    Idan Schwartz, Alexander Schwing, Tamir Hazan
    http://arxiv.org/abs/1904.05876v1

    • [cs.CV]An Analysis of Pre-Training on Object Detection
    Hengduo Li, Bharat Singh, Mahyar Najibi, Zuxuan Wu, Larry S. Davis
    http://arxiv.org/abs/1904.05871v1

    • [cs.CV]An Empirical Study of Spatial Attention Mechanisms in Deep Networks
    Xizhou Zhu, Dazhi Cheng, Zheng Zhang, Stephen Lin, Jifeng Dai
    http://arxiv.org/abs/1904.05873v1

    • [cs.CV]Analyzing Dynamical Brain Functional Connectivity As Trajectories on Space of Covariance Matrices
    Mengyu Dai, Zhengwu Zhang, Anuj Srivastava
    http://arxiv.org/abs/1904.05449v1

    • [cs.CV]Attentive Action and Context Factorization
    Yang Wang, Vinh Tran, Gedas Bertasius, Lorenzo Torresani, Minh Hoai
    http://arxiv.org/abs/1904.05410v1

    • [cs.CV]BAOD: Budget-Aware Object Detection
    Alejandro Pardo, Mengmeng Xu, Ali Thabet, Pablo Arbelaez, Bernard Ghanem
    http://arxiv.org/abs/1904.05443v1

    • [cs.CV]Black-Box Decision based Adversarial Attack with Symmetric $α$-stable Distribution
    Vignesh Srinivasan, Ercan E. Kuruoglu, Klaus-Robert Müller, Wojciech Samek, Shinichi Nakajima
    http://arxiv.org/abs/1904.05586v1

    • [cs.CV]C-MIL: Continuation Multiple Instance Learning for Weakly Supervised Object Detection
    Fang Wan, Chang Liu, Wei Ke, Xiangyang Ji, Jianbin Jiao, Qixiang Ye
    http://arxiv.org/abs/1904.05647v1

    • [cs.CV]C3AE: Exploring the Limits of Compact Model for Age Estimation
    Chao Zhang, Shuaicheng Liu, Xun Xu, Ce Zhu
    http://arxiv.org/abs/1904.05059v2

    • [cs.CV]Detecting Repeating Objects using Patch Correlation Analysis
    Inbar Huberman, Raanan Fattal
    http://arxiv.org/abs/1904.05629v1

    • [cs.CV]Difficulty-aware Image Super Resolution via Deep Adaptive Dual-Network
    Jinghui Qin, Ziwei Xie, Yukai Shi, Wushao Wen
    http://arxiv.org/abs/1904.05802v1

    • [cs.CV]Direct Fitting of Gaussian Mixture Models
    Leonid Keselman, Martial Hebert
    http://arxiv.org/abs/1904.05537v1

    • [cs.CV]Efficient and Robust Registration on the 3D Special Euclidean Group
    Uttaran Bhattacharya, Venu Madhav Govindu
    http://arxiv.org/abs/1904.05519v1

    • [cs.CV]Elucidating image-to-set prediction: An analysis of models, losses and datasets
    Luis Pineda, Amaia Salvador, Michal Drozdzal, Adriana Romero
    http://arxiv.org/abs/1904.05709v1

    • [cs.CV]Expressive Body Capture: 3D Hands, Face, and Body from a Single Image
    Georgios Pavlakos, Vasileios Choutas, Nima Ghorbani, Timo Bolkart, Ahmed A. A. Osman, Dimitrios Tzionas, Michael J. Black
    http://arxiv.org/abs/1904.05866v1

    • [cs.CV]FRNET: Flattened Residual Network for Infant MRI Skull Stripping
    Qian Zhang, Li Wang, Xiaopeng Zong, Weili Lin, Gang Li, Dinggang Shen
    http://arxiv.org/abs/1904.05578v1

    • [cs.CV]FTGAN: A Fully-trained Generative Adversarial Networks for Text to Face Generation
    Xiang Chen, Lingbo Qing, Xiaohai He, Xiaodong Luo, Yining Xu
    http://arxiv.org/abs/1904.05729v1

    • [cs.CV]Factor Graph Attention
    Idan Schwartz, Seunghak Yu, Tamir Hazan, Alexander Schwing
    http://arxiv.org/abs/1904.05880v1

    • [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/1904.04975v2

    • [cs.CV]Generalizing Monocular 3D Human Pose Estimation in the Wild
    Luyang Wang, Yan Chen, Zhenhua Guo, Keyuan Qian, Mude Lin, Hongsheng Li, Jimmy S. Ren
    http://arxiv.org/abs/1904.05512v1

    • [cs.CV]Generating Multiple Hypotheses for 3D Human Pose Estimation with Mixture Density Network
    Chen Li, Gim Hee Lee
    http://arxiv.org/abs/1904.05547v1

    • [cs.CV]Improved training of binary networks for human pose estimation and image recognition
    Adrian Bulat, Georgios Tzimiropoulos, Jean Kossaifi, Maja Pantic
    http://arxiv.org/abs/1904.05868v1

    • [cs.CV]Instance Segmentation based Semantic Matting for Compositing Applications
    Guanqing Hu, James J. Clark
    http://arxiv.org/abs/1904.05457v1

    • [cs.CV]Learning Single Camera Depth Estimation using Dual-Pixels
    Rahul Garg, Neal Wadhwa, Sameer Ansari, Jonathan T. Barron
    http://arxiv.org/abs/1904.05822v1

    • [cs.CV]Learning joint reconstruction of hands and manipulated objects
    Yana Hasson, Gül Varol, Dimitrios Tzionas, Igor Kalevatykh, Michael J. Black, Ivan Laptev, Cordelia Schmid
    http://arxiv.org/abs/1904.05767v1

    • [cs.CV]Learning to Generate Synthetic Data via Compositing
    Shashank Tripathi, Siddhartha Chandra, Amit Agrawal, Ambrish Tyagi, James M. Rehg, Visesh Chari
    http://arxiv.org/abs/1904.05475v1

    • [cs.CV]MAIN: Multi-Attention Instance Network for Video Segmentation
    Juan Leon Alcazar, Maria A. Bravo, Ali K. Thabet, Guillaume Jeanneret, Thomas Brox, Pablo Arbelaez, Bernard Ghanem
    http://arxiv.org/abs/1904.05847v1

    • [cs.CV]Pixel-Adaptive Convolutional Neural Networks
    Hang Su, Varun Jampani, Deqing Sun, Orazio Gallo, Erik Learned-Miller, Jan Kautz
    http://arxiv.org/abs/1904.05373v1

    • [cs.CV]Predicting Future Pedestrian Motion in Video Sequences using Crowd Simulation
    Cliceres dal Bianco, Soraia Raupp Musse
    http://arxiv.org/abs/1904.05448v1

    • [cs.CV]Predicting Progression of Age-related Macular Degeneration from Fundus Images using Deep Learning
    Boris Babenko, Siva Balasubramanian, Katy E. Blumer, Greg S. Corrado, Lily Peng, Dale R. Webster, Naama Hammel, Avinash V. Varadarajan
    http://arxiv.org/abs/1904.05478v1

    • [cs.CV]Probabilistic Permutation Synchronization using the Riemannian Structure of the Birkhoff Polytope
    Tolga Birdal, Umut Şimşekli
    http://arxiv.org/abs/1904.05814v1

    • [cs.CV]Reasoning Visual Dialogs with Structural and Partial Observations
    Zilong Zheng, Wenguan Wang, Siyuan Qi, Song-Chun Zhu
    http://arxiv.org/abs/1904.05548v1

    • [cs.CV]Reconstructing Network Inputs with Additive Perturbation Signatures
    Nick Moran, Chiraag Juvekar
    http://arxiv.org/abs/1904.05712v1

    • [cs.CV]Recurrent Space-time Graphs for Video Understanding
    Andrei Nicolicioiu, Iulia Duta, Marius Leordeanu
    http://arxiv.org/abs/1904.05582v1

    • [cs.CV]Reducing Lateral Visual Biases in Displays
    Inbar Huberman, Raanan Fattal
    http://arxiv.org/abs/1904.05614v1

    • [cs.CV]Retinal Vessels Segmentation Based on Dilated Multi-Scale Convolutional Neural Network
    Yun Jiang, Ning Tan, Tingting Peng, Hai Zhang
    http://arxiv.org/abs/1904.05644v1

    • [cs.CV]Sliced Wasserstein Generative Models
    Jiqing Wu, Zhiwu Huang, Dinesh Acharya, Wen Li, Janine Thoma, Danda Pani Paudel, Luc Van Gool
    http://arxiv.org/abs/1904.05408v1

    • [cs.CV]Software Based Higher Order Structural Foot Abnormality Detection Using Image Processing
    Arnesh Sen, Kaustav Sen, Jayoti Das
    http://arxiv.org/abs/1904.05651v1

    • [cs.CV]Spherical Regression: Learning Viewpoints, Surface Normals and 3D Rotations on n-Spheres
    Shuai Liao, Efstratios Gavves, Cees G. M. Snoek
    http://arxiv.org/abs/1904.05404v1

    • [cs.CV]Two Body Problem: Collaborative Visual Task Completion
    Unnat Jain, Luca Weihs, Eric Kolve, Mohammad Rastegari, Svetlana Lazebnik, Ali Farhadi, Alexander Schwing, Aniruddha Kembhavi
    http://arxiv.org/abs/1904.05879v1

    • [cs.CV]Unified Visual-Semantic Embeddings: Bridging Vision and Language with Structured Meaning Representations
    Hao Wu, Jiayuan Mao, Yufeng Zhang, Yuning Jiang, Lei Li, Weiwei Sun, Wei-Ying Ma
    http://arxiv.org/abs/1904.05521v1

    • [cs.CV]Variational Information Distillation for Knowledge Transfer
    Sungsoo Ahn, Shell Xu Hu, Andreas Damianou, Neil D. Lawrence, Zhenwen Dai
    http://arxiv.org/abs/1904.05835v1

    • [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/1904.05191v2

    • [cs.CV]YUVMultiNet: Real-time YUV multi-task CNN for autonomous driving
    Thomas Boulay, Said El-Hachimi, Mani Kumar Surisetti, Pullarao Maddu, Saranya Kandan
    http://arxiv.org/abs/1904.05673v1

    • [cs.CY]Dungeons for Science: Mapping Belief Places and Spaces
    Aaron Dant, Philip Feldman, Wayne Lutters
    http://arxiv.org/abs/1904.05216v2

    • [cs.CY]Leveraging Distributed Ledger Technologies and Blockchain to Combat Fake News
    Paula Fraga-Lamas, Tiago M. Fernández-Caramés
    http://arxiv.org/abs/1904.05386v1

    • [cs.CY]Political Discussions in Homogeneous and Cross-Cutting Communication Spaces
    Jisun An, Haewoon Kwak, Oliver Posegga, Andreas Jungherr
    http://arxiv.org/abs/1904.05643v1

    • [cs.CY]The Role of Big Data Analytics in Industrial Internet of Things
    Muhammad Habib ur Rehman, Ibrar Yaqoob, Khaled Salah, Muhammad Imran, Prem Prakash Jayaraman, Charith Perera
    http://arxiv.org/abs/1904.05556v1

    • [cs.DC]Energy-Efficient High-Throughput Data Transfers via Dynamic CPU Frequency and Core Scaling
    Luigi Di Tacchio, Zulkar Nine, Tevfik Kosar, Fatih M. Bulut, Jinho Hwang
    http://arxiv.org/abs/1904.05867v1

    • [cs.DC]FECBench: A Holistic Interference-aware Approach for Application Performance Modeling
    Yogesh D. Barve, Shashank Shekhar, Ajay Dev Chhokra, Shweta Khare, Anirban Bhattacharjee, Zhuangwei Kang, Hongyang Sun, Aniruddha Gokhale
    http://arxiv.org/abs/1904.05833v1

    • [cs.DC]Locality of not-so-weak coloring
    Alkida Balliu, Juho Hirvonen, Christoph Lenzen, Dennis Olivetti, Jukka Suomela
    http://arxiv.org/abs/1904.05627v1

    • [cs.DC]Modular programming of computing media using spatial types, for artificial physics
    Frederic Gruau
    http://arxiv.org/abs/1904.05787v1

    • [cs.DC]Optimal Edge User Allocation in Edge Computing with Variable Sized Vector Bin Packing
    Phu Lai, Qiang He, Mohamed Abdelrazek, Feifei Chen, John Hosking, John Grundy, Yun Yang
    http://arxiv.org/abs/1904.05553v1

    • [cs.DC]R-Storm: Resource-Aware Scheduling in Storm
    Boyang Peng, Mohammad Hosseini, Zhihao Hong, Reza Farivar, Roy Campbell
    http://arxiv.org/abs/1904.05456v1

    • [cs.DC]Reducing Communication in Algebraic Multigrid with Multi-step Node Aware Communication
    Amanda Bienz, Luke Olson, William Gropp
    http://arxiv.org/abs/1904.05838v1

    • [cs.DC]Timely-Throughput Optimal Coded Computing over Cloud Networks
    Chien-Sheng Yang, Ramtin Pedarsani, A. Salman Avestimehr
    http://arxiv.org/abs/1904.05522v1

    • [cs.DS]Efficient Distributed Workload (Re-)Embedding
    Monika Henzinger, Stefan Neumann, Stefan Schmid
    http://arxiv.org/abs/1904.05474v1

    • [cs.GT]The Convergence of Iterative Delegations in Liquid Democracy in a Social Network
    Bruno Escoffier, Hugo Gilbert, Adèle Pass-Lanneau
    http://arxiv.org/abs/1904.05775v1

    • [cs.IR]Investigating Retrieval Method Selection with Axiomatic Features
    Siddhant Arora, Andrew Yates
    http://arxiv.org/abs/1904.05737v1

    • [cs.IR]Searching Heterogeneous Personal Digital Traces
    Daniela Vianna, Varvara Kalokyri, Alexander Borgida, Thu D. Nguyen, Amelie Marian
    http://arxiv.org/abs/1904.05374v1

    • [cs.IT]Centralized Coded Caching with User Cooperation
    Jiahui Chen, Haoyu Yin, Xiaowen You, Yanlin Geng, Youlong Wu
    http://arxiv.org/abs/1904.05487v1

    • [cs.IT]Covariance Evolution for Spatially “Mt. Fuji” Coupled LDPC Codes
    Yuta Nakahara, Toshiyasu Matsushima
    http://arxiv.org/abs/1904.05396v1

    • [cs.IT]On Code Design for Wireless Channels with Additive Radar Interference
    Federico Brunero, Daniela Tuninetti, Natasha Devroye
    http://arxiv.org/abs/1904.05484v1

    • [cs.IT]On Error Decoding of Locally Repairable and Partial MDS Codes
    Lukas Holzbaur, Sven Puchinger, Antonia Wachter-Zeh
    http://arxiv.org/abs/1904.05623v1

    • [cs.IT]On Fractional Decoding of Reed-Solomon Codes
    Welington Santos
    http://arxiv.org/abs/1904.05400v1

    • [cs.IT]On Model Coding for Distributed Inference and Transmission in Mobile Edge Computing Systems
    Jingjing Zhang, Osvaldo Simeone
    http://arxiv.org/abs/1904.05591v1

    • [cs.IT]On the 2-Adic Complexity of the Ding-Helleseth-Martinsen Binary Sequences
    Lulu Zhang, Jun Zhang, Minghui Yang, Keqin Feng
    http://arxiv.org/abs/1904.05499v1

    • [cs.IT]Optimality in Quantum Data Compression using Dynamical Entropy
    George Androulakis, Duncan Wright
    http://arxiv.org/abs/1904.05402v1

    • [cs.IT]Solving the large syndrome calculation problem in steganography
    Suah Kim, Vasily Sachnev, Hyoung Joong Kim
    http://arxiv.org/abs/1904.05625v1

    • [cs.IT]The α-κ-μ Shadowed Fading Distribution: Statistical Characterization and Applications
    Pablo Ramirez-Espinosa, Jules M. Moualeu, Daniel Benevides da Costa, F. Javier Lopez-Martinez
    http://arxiv.org/abs/1904.05587v1

    • [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/1904.05263v2

    • [cs.LG]Bridging Theory and Algorithm for Domain Adaptation
    Yuchen Zhang, Tianle Liu, Mingsheng Long, Michael I. Jordan
    http://arxiv.org/abs/1904.05801v1

    • [cs.LG]Deep Learning for System Trace Restoration
    Ilia Sucholutsky, Apurva Narayan, Matthias Schonlau, Sebastian Fischmeister
    http://arxiv.org/abs/1904.05411v1

    • [cs.LG]Deep Neural Network Ensembles
    Sean Tao
    http://arxiv.org/abs/1904.05488v1

    • [cs.LG]Enhancing Decision Tree based Interpretation of Deep Neural Networks through L1-Orthogonal Regularization
    Nina Schaaf, Marco F. Huber
    http://arxiv.org/abs/1904.05394v1

    • [cs.LG]FairVis: Visual Analytics for Discovering Intersectional Bias in Machine Learning
    Ángel Alexander Cabrera, Will Epperson, Fred Hohman, Minsuk Kahng, Jamie Morgenstern, Duen Horng Chau
    http://arxiv.org/abs/1904.05419v1

    • [cs.LG]KeyIn: Discovering Subgoal Structure with Keyframe-based Video Prediction
    Karl Pertsch, Oleh Rybkin, Jingyun Yang, Kosta Derpanis, Joseph Lim, Kostas Daniilidis, Andrew Jaegle
    http://arxiv.org/abs/1904.05869v1

    • [cs.LG]Knowledge Flow: Improve Upon Your Teachers
    Iou-Jen Liu, Jian Peng, Alexander G. Schwing
    http://arxiv.org/abs/1904.05878v1

    • [cs.LG]Learning Trajectory Prediction with Continuous Inverse Optimal Control via Langevin Sampling of Energy-Based Models
    Yifei Xu, Tianyang Zhao, Chris Baker, Yibiao Zhao, Ying Nian Wu
    http://arxiv.org/abs/1904.05453v1

    • [cs.LG]Max-Sliced Wasserstein Distance and its use for GANs
    Ishan Deshpande, Yuan-Ting Hu, Ruoyu Sun, Ayis Pyrros, Nasir Siddiqui, Sanmi Koyejo, Zhizhen Zhao, David Forsyth, Alexander Schwing
    http://arxiv.org/abs/1904.05877v1

    • [cs.LG]Membership Inference Attacks on Sequence-to-Sequence Models
    Sorami Hisamoto, Matt Post, Kevin Duh
    http://arxiv.org/abs/1904.05506v1

    • [cs.LG]Mitigating Information Leakage in Image Representations: A Maximum Entropy Approach
    Proteek Chandan Roy, Vishnu Naresh Boddeti
    http://arxiv.org/abs/1904.05514v1

    • [cs.LG]Modified online Newton step based on element wise multiplication
    Charnjeet Singh, Anuj Sharma
    http://arxiv.org/abs/1904.05633v1

    • [cs.LG]MxML: Mixture of Meta-Learners for Few-Shot Classification
    Minseop Park, Jungtaek Kim, Saehoon Kim, Yanbin Liu, Seungjin Choi
    http://arxiv.org/abs/1904.05658v1

    • [cs.LG]One-shot Voice Conversion by Separating Speaker and Content Representations with Instance Normalization
    Ju-chieh Chou, Cheng-chieh Yeh, Hung-yi Lee
    http://arxiv.org/abs/1904.05742v1

    • [cs.LG]Recurrent Event Network for Reasoning over Temporal Knowledge Graphs
    Woojeong Jin, Changlin Zhang, Pedro Szekely, Xiang Ren
    http://arxiv.org/abs/1904.05530v1

    • [cs.LG]ReinBo: Machine Learning pipeline search and configuration with Bayesian Optimization embedded Reinforcement Learning
    Xudong Sun, Jiali Lin, Bernd Bischl
    http://arxiv.org/abs/1904.05381v1

    • [cs.LG]Relational Graph Attention Networks
    Dan Busbridge, Dane Sherburn, Pietro Cavallo, Nils Y. Hammerla
    http://arxiv.org/abs/1904.05811v1

    • [cs.LG]Restricted Isometry Property under High Correlations
    Shiva Prasad Kasiviswanathan, Mark Rudelson
    http://arxiv.org/abs/1904.05510v1

    • [cs.LG]Safer Deep RL with Shallow MCTS: A Case Study in Pommerman
    Bilal Kartal, Pablo Hernandez-Leal, Chao Gao, Matthew E. Taylor
    http://arxiv.org/abs/1904.05759v1

    • [cs.LG]Scalarizing Functions in Bayesian Multiobjective Optimization
    Tinkle Chugh
    http://arxiv.org/abs/1904.05760v1

    • [cs.LG]Unsupervised Deep Learning Algorithm for PDE-based Forward and Inverse Problems
    Leah Bar, Nir Sochen
    http://arxiv.org/abs/1904.05417v1

    • [cs.LG]Using Weight Mirrors to Improve Feedback Alignment
    Mohamed Akrout, Collin Wilson, Peter C. Humphreys, Timothy Lillicrap, Douglas Tweed
    http://arxiv.org/abs/1904.05391v1

    • [cs.NE]GP-HD: Using Genetic Programming to Generate Dynamical Systems Models for Health Care
    Mark Hoogendoorn, Ward van Breda, Jeroen Ruwaard
    http://arxiv.org/abs/1904.05815v1

    • [cs.NE]Multiplicative Up-Drift
    Benjamin Doerr, Timo Kötzing
    http://arxiv.org/abs/1904.05682v1

    • [cs.NE]Short note on the behavior of recurrent neural network for noisy dynamical system
    Kyongmin Yeo
    http://arxiv.org/abs/1904.05158v1

    • [cs.RO]Autonomous Robot Navigation with Rich Information Mapping in Nuclear Storage Environments
    Maozhen Wang, Xianchao Long, Peng Chang, Taskin Padir
    http://arxiv.org/abs/1904.05796v1

    • [cs.RO]Efficient LiDAR data compression for embedded V2I or V2V data handling
    Paul Caillet, Yohan Dupuis
    http://arxiv.org/abs/1904.05649v1

    • [cs.RO]Improvisation through Physical Understanding: Using Novel Objects as Tools with Visual Foresight
    Annie Xie, Frederik Ebert, Sergey Levine, Chelsea Finn
    http://arxiv.org/abs/1904.05538v1

    • [cs.RO]Learning to Take Good Pictures of People with a Robot Photographer
    Rhys Newbury, Akansel Cosgun, Mehmet Koseoglu, Tom Drummond
    http://arxiv.org/abs/1904.05688v1

    • [cs.RO]Safe, Aggressive Quadrotor Flight via Reachability-based Trajectory Design
    Shreyas Kousik, Patrick Holmes, Ramanarayan Vasudevan
    http://arxiv.org/abs/1904.05728v1

    • [cs.RO]ViTa-SLAM: Biologically-Inspired Visuo-Tactile SLAM
    Oliver Struckmeier, Kshitij Tiwari, Martin J. Pearson, Ville Kyrki
    http://arxiv.org/abs/1904.05667v1

    • [cs.SD]STC Antispoofing Systems for the ASVspoof2019 Challenge
    Galina Lavrentyeva, Sergey Novoselov, Andzhukaev Tseren, Marina Volkova, Artem Gorlanov, Alexandr Kozlov
    http://arxiv.org/abs/1904.05576v1

    • [cs.SI]Percolation Threshold for Competitive Influence in Random Networks
    Yu-Hsien Peng, Ping-En Lu, Cheng-Shang Chang, Duan-Shin Lee
    http://arxiv.org/abs/1904.05754v1

    • [cs.SY]Game-Theoretic Modeling of Multi-Vehicle Interactions at Uncontrolled Intersections
    Nan Li, Yu Yao, Ilya Kolmanovsky, Ella Atkins, Anouck Girard
    http://arxiv.org/abs/1904.05423v1

    • [eess.AS]RawNet: Fast End-to-End Neural Vocoder
    Yunchao He, Haitong Zhang, Yujun Wang
    http://arxiv.org/abs/1904.05351v1

    • [eess.IV]CNN-Based Deep Architecture for Reinforced Concrete Delamination Segmentation Through Thermography
    Chongsheng Cheng, Zhexiong Shang, Zhigang Shen
    http://arxiv.org/abs/1904.05509v1

    • [eess.IV]Diagnosis of Celiac Disease and Environmental Enteropathy on Biopsy Images Using Color Balancing on Convolutional Neural Networks
    Kamran Kowsari, Rasoul Sali, Marium N. Khan, William Adorno, S. Asad Ali, Sean R. Moore, Beatrice C. Amadi, Paul Kelly, Sana Syed, Donald E. Brown
    http://arxiv.org/abs/1904.05773v1

    • [eess.SP]Adaptive Virtual Waveform Design for Millimeter-Wave Joint Communication-Radar
    Preeti Kumari, Sergiy A. Vorobyov, Robert W. Heath Jr
    http://arxiv.org/abs/1904.05516v1

    • [math.NA]A Kaczmarz Algorithm for Solving Tree Based Distributed Systems of Equations
    Chinmay Hegde, Fritz Keinert, Eric S. Weber
    http://arxiv.org/abs/1904.05732v1

    • [math.OC]Connections Between Adaptive Control and Optimization in Machine Learning
    Joseph E. Gaudio, Travis E. Gibson, Anuradha M. Annaswamy, Michael A. Bolender, Eugene Lavretsky
    http://arxiv.org/abs/1904.05856v1

    • [math.OC]Constructing Clustering Transformations
    Steffen Borgwardt, Charles Viss
    http://arxiv.org/abs/1904.05406v1

    • [math.OC]Deep learning as optimal control problems: models and numerical methods
    Martin Benning, Elena Celledoni, Matthias J. Ehrhardt, Brynjulf Owren, Carola-Bibiane Schönlieb
    http://arxiv.org/abs/1904.05657v1

    • [math.OC]Least Squares Auto-Tuning
    Shane Barratt, Stephen Boyd
    http://arxiv.org/abs/1904.05460v1

    • [math.ST]Comparing a Large Number of Multivariate Distributions
    Ilmun Kim
    http://arxiv.org/abs/1904.05741v1

    • [math.ST]Efficient Entropy Estimation for Stationary Time Series
    Alexander L Young, David B Dunson
    http://arxiv.org/abs/1904.05850v1

    • [physics.soc-ph]Relational flexibility of network elements based on inconsistent community detection
    Heetae Kim, Sang Hoon Lee
    http://arxiv.org/abs/1904.05523v1

    • [physics.soc-ph]Social structure formation in a network of agents playing a hybrid of ultimatum and dictator games
    Jan E. Snellman, János Kertész, Rafael Barrio, Kimmo Kaski
    http://arxiv.org/abs/1904.05601v1

    • [q-bio.QM]Scanner Invariant Representations for Diffusion MRI Harmonization
    Daniel Moyer, Greg Ver Steeg, Chantal M. W. Tax, Paul M. Thompson
    http://arxiv.org/abs/1904.05375v1

    • [q-fin.ST]Feature Engineering for Mid-Price Prediction Forecasting with Deep Learning
    Adamantios Ntakaris, Giorgio Mirone, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis
    http://arxiv.org/abs/1904.05384v1

    • [stat.ME]FATSO: A family of operators for variable selection in linear models
    Nicolás E. Kuschinski, J. Andrés Christen
    http://arxiv.org/abs/1904.05828v1

    • [stat.ME]Practical Valid Inferences for the Two-Sample Binomial Problem
    Michael P. Fay, Sally A. Hunsberger
    http://arxiv.org/abs/1904.05416v1

    • [stat.ME]Robust Principal Component Analysis for Compositional Tables
    Julie Rendlová, Karel Hron, Kamila Fačevicová, Peter Filzmoser
    http://arxiv.org/abs/1904.05636v1

    • [stat.ML]A Selective Overview of Deep Learning
    Jianqing Fan, Cong Ma, Yiqiao Zhong
    http://arxiv.org/abs/1904.05526v1

    • [stat.ML]A machine learning approach for underwater gas leakage detection
    Paulo Hubert, Linilson Padovese
    http://arxiv.org/abs/1904.05661v1

    • [stat.ML]Autoregressive Energy Machines
    Charlie Nash, Conor Durkan
    http://arxiv.org/abs/1904.05626v1

    • [stat.ML]Compressed sensing reconstruction using Expectation Propagation
    Alfredo Braunstein, Anna Paola Muntoni, Andrea Pagnani, Mirko Pieropan
    http://arxiv.org/abs/1904.05777v1

    • [stat.ML]The Weight Function in the Subtree Kernel is Decisive
    Romain Azaïs, Florian Ingels
    http://arxiv.org/abs/1904.05421v1