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.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.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.RO - 机器人学 cs.SD - 声音处理 cs.SE - 软件工程 cs.SI - 社交网络与信息网络 eess.IV - 图像与视频处理 hep-ph - 高能物理现象学 math.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 q-bio.NC - 神经元与认知 stat.AP - 应用统计 stat.CO - 统计计算 stat.ME - 统计方法论 stat.ML - (统计)机器学习 stat.OT - 其他统计学

    • [astro-ph.IM]Shall numerical astrophysics step into the era of Exascale computing?
    • [cs.AI]CoachAI: A Conversational Agent Assisted Health Coaching Platform
    • [cs.AI]Landmark-Based Approaches for Goal Recognition as Planning
    • [cs.AI]Neural Logic Machines
    • [cs.AI]Using Sub-Optimal Plan Detection to Identify Commitment Abandonment in Discrete Environments
    • [cs.CL]Are We Consistently Biased? Multidimensional Analysis of Biases in Distributional Word Vectors
    • [cs.CL]Contextualized Word Embeddings Enhanced Event Temporal Relation Extraction for Story Understanding
    • [cs.CL]Fake News Early Detection: A Theory-driven Model
    • [cs.CL]Look Who’s Talking: Inferring Speaker Attributes from Personal Longitudinal Dialog
    • [cs.CL]Neural Text Generation from Rich Semantic Representations
    • [cs.CL]Probing What Different NLP Tasks Teach Machines about Function Word Comprehension
    • [cs.CL]Think Again Networks, the Delta Loss, and an Application in Language Modeling
    • [cs.CL]Transformers with convolutional context for ASR
    • [cs.CV]A Large Scale Urban Surveillance Video Dataset for Multiple-Object Tracking and Behavior Analysis
    • [cs.CV]A Survey on Face Data Augmentation
    • [cs.CV]Box-driven Class-wise Region Masking and Filling Rate Guided Loss for Weakly Supervised Semantic Segmentation
    • [cs.CV]DeepPerimeter: Indoor Boundary Estimation from Posed Monocular Sequences
    • [cs.CV]EM-Fusion: Dynamic Object-Level SLAM with Probabilistic Data Association
    • [cs.CV]Face Video Generation from a Single Image and Landmarks
    • [cs.CV]GN-Net: The Gauss-Newton Loss for Deep Direct SLAM
    • [cs.CV]Graph Optimized Convolutional Networks
    • [cs.CV]High-Resolution Network for Photorealistic Style Transfer
    • [cs.CV]Lifting AutoEncoders: Unsupervised Learning of a Fully-Disentangled 3D Morphable Model using Deep Non-Rigid Structure from Motion
    • [cs.CV]Meta-Sim: Learning to Generate Synthetic Datasets
    • [cs.CV]Multiple Linear Regression Haze-removal Model Based on Dark Channel Prior
    • [cs.CV]Optical Flow Techniques for Facial Expression Analysis: Performance Evaluation and Improvements
    • [cs.CV]Producing Corpora of Medieval and Premodern Occitan
    • [cs.CV]Representation Similarity Analysis for Efficient Task taxonomy & Transfer Learning
    • [cs.CV]Scene Graph Prediction with Limited Labels
    • [cs.CV]Single Image Reflection Removal with Physically-based Rendering
    • [cs.CV]Small Target Detection for Search and Rescue Operations using Distributed Deep Learning and Synthetic Data Generation
    • [cs.CV]TVQA+: Spatio-Temporal Grounding for Video Question Answering
    • [cs.CV]Unifying Part Detection and Association for Recurrent Multi-Person Pose Estimation
    • [cs.CV]Unsupervised Deep Learning by Neighbourhood Discovery
    • [cs.CV]Weighted second-order cone programming twin support vector machine for imbalanced data classification
    • [cs.CY]Characterizing web pornography consumption from passive measurements
    • [cs.CY]Predicting Student Performance in an Educational Game Using a Hidden Markov Model
    • [cs.CY]Sparse Neural Attentive Knowledge-based Models for Grade Prediction
    • [cs.DC]A Benchmarking Study to Evaluate Apache Spark on Large-Scale Supercomputers
    • [cs.DC]Developing Secure Services for IoT with OP-TEE: A First Look at Performance and Usability
    • [cs.DC]Storage Solutions for Big Data Systems: A Qualitative Study and Comparison
    • [cs.DS]The Potential of Restarts for ProbSAT
    • [cs.HC]Gradient Descent for Sparse Rank-One Matrix Completion for Crowd-Sourced Aggregation of Sparsely Interacting Workers
    • [cs.HC]Interactive user interface based on Convolutional Auto-encoders for annotating CT-scans
    • [cs.IR]Recommending research articles to consumers of online vaccination information
    • [cs.IT]Array BP-XOR Codes for Parallel Matrix Multiplication using Hierarchical Computing
    • [cs.IT]Byzantine Multiple Access
    • [cs.IT]Capacity per Unit-Energy of Gaussian Many-Access Channels
    • [cs.IT]Construction of Subexponential-Size Optical Priority Queues with Switches and Fiber Delay Lines
    • [cs.IT]Countably Infinite Multilevel Source Polarization for Non-Stationary Erasure Distributions
    • [cs.IT]Cryptanalysis of a System Based on Twisted Reed-Solomon Codes
    • [cs.IT]Sensing Matrix Design and Sparse Recovery on the Sphere and the Rotation Group
    • [cs.IT]Towards a Non-Stochastic Information Theory
    • [cs.LG]A Novel Orthogonal Direction Mesh Adaptive Direct Search Approach for SVM Hyperparameter Tuning
    • [cs.LG]Adaptive Regret of Convex and Smooth Functions
    • [cs.LG]AutoKGE: Searching Scoring Functions for Knowledge Graph Embedding
    • [cs.LG]Bayesian Generative Active Deep Learning
    • [cs.LG]Classification from Pairwise Similarities/Dissimilarities and Unlabeled Data via Empirical Risk Minimization
    • [cs.LG]Copy mechanism and tailored training for character-based data-to-text generation
    • [cs.LG]DPVis: Visual Exploration of Disease Progression Pathways
    • [cs.LG]Decision Forest: A Nonparametric Approach to Modeling Irrational Choice
    • [cs.LG]Deep-IRT: Make Deep Learning Based Knowledge Tracing Explainable Using Item Response Theory
    • [cs.LG]DeepFreak: Learning Crystallography Diffraction Patterns with Automated Machine Learning
    • [cs.LG]End-to-End Adversarial Learning for Intrusion Detection in Computer Networks
    • [cs.LG]Evaluating Recurrent Neural Network Explanations
    • [cs.LG]Factored Contextual Policy Search with Bayesian Optimization
    • [cs.LG]I-vector Based Features Embedding for Heart Sound Classification
    • [cs.LG]Learning Semantic Vector Representations of Source Code via a Siamese Neural Network
    • [cs.LG]Learning to Prune: Speeding up Repeated Computations
    • [cs.LG]Machine Learning For Distributed Acoustic Sensors, Classic versus Image and Deep Neural Networks Approach
    • [cs.LG]On Exact Computation with an Infinitely Wide Neural Net
    • [cs.LG]Robust Metric Learning based on the Rescaled Hinge Loss
    • [cs.LG]Robustness Verification of Support Vector Machines
    • [cs.LG]SWALP : Stochastic Weight Averaging in Low-Precision Training
    • [cs.LG]Stability and Optimization Error of Stochastic Gradient Descent for Pairwise Learning
    • [cs.LG]Warm Up Cold-start Advertisements: Improving CTR Predictions via Learning to Learn ID Embeddings
    • [cs.RO]Crowd-sensing Simultaneous Localization and Radio Fingerprint Mapping based on Probabilistic Similarity Models
    • [cs.RO]Pedestrian Collision Avoidance System for Scenarios with Occlusions
    • [cs.RO]Perceptual Attention-based Predictive Control
    • [cs.SD]Speaker Sincerity Detection based on Covariance Feature Vectors and Ensemble Methods
    • [cs.SE]Formal Verification of Decision-Tree Ensemble Model and Detection of its Violating-input-value Ranges
    • [cs.SI]Neural Ideal Point Estimation Network
    • [cs.SI]Spectral partitioning of time-varying networks with unobserved edges
    • [cs.SI]Towards Understanding Political Interactions on Instagram
    • [eess.IV]Accurate and Robust Alignment of Variable-stained Histologic Images Using a General-purpose Greedy Diffeomorphic Registration Tool
    • [eess.IV]Improved visible to IR image transformation using synthetic data augmentation with cycle-consistent adversarial networks
    • [hep-ph]Reporting Results in High Energy Physics Papers: a Manifesto
    • [math.OC]General risk measures for robust machine learning
    • [math.OC]Parametric Scenario Optimization under Limited Data: A Distributionally Robust Optimization View
    • [math.PR]Preferential attachment without vertex growth: emergence of the giant component
    • [math.ST]On the Dependence between Functions of Quantile and Dispersion Estimators
    • [math.ST]Reference Bayesian analysis for hierarchical models
    • [math.ST]Uniform minimum risk equivariant estimates for moment condition models
    • [q-bio.NC]Passive nonlinear dendritic interactions as a general computational resource in functional spiking neural networks
    • [stat.AP]A Bayesian approach for small area population estimates using multiple administrative records
    • [stat.AP]Performance modeling of electro-optical devices for military target acquisition
    • [stat.CO]Evaluating the boundary and Stieltjes transform of limiting spectral distributions for random matrices with a separable variance profile
    • [stat.CO]New visualizations for Monte Carlo simulations
    • [stat.ME]Bayesian Factor Analysis for Inference on Interactions
    • [stat.ME]Bayesian Variable Selection for Multi-Outcome Models Through Shared Shrinkage
    • [stat.ME]Multivariate Functional Data Modeling with Time-varying Clustering
    • [stat.ME]Parameter clustering in Bayesian functional PCA of fMRI data
    • [stat.ME]Poisson PCA: Poisson Measurement Error corrected PCA, with Application to Microbiome Data
    • [stat.ME]Structural modeling using overlapped group penalties for discovering predictive biomarkers for subgroup analysis
    • [stat.ML]From Predictions to Prescriptions in Multistage Optimization Problems
    • [stat.ML]Online Learning Algorithms for Quaternion ARMA Model
    • [stat.ML]Simulating Execution Time of Tensor Programs using Graph Neural Networks
    • [stat.OT]Evaluating the Success of a Data Analysis

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

    • [astro-ph.IM]Shall numerical astrophysics step into the era of Exascale computing?
    Giuliano Taffoni, Giuseppe Murante, Luca Tornatore, David Goz, Stefano Borgani, Manolis Katevenis, Nikolaos Chrysos, Manolis Marazakis
    http://arxiv.org/abs/1904.11720v1

    • [cs.AI]CoachAI: A Conversational Agent Assisted Health Coaching Platform
    Ahmed Fadhil, Gianluca Schiavo, Yunlong Wang
    http://arxiv.org/abs/1904.11961v1

    • [cs.AI]Landmark-Based Approaches for Goal Recognition as Planning
    Ramon Fraga Pereira, Nir Oren, Felipe Meneguzzi
    http://arxiv.org/abs/1904.11739v1

    • [cs.AI]Neural Logic Machines
    Honghua Dong, Jiayuan Mao, Tian Lin, Chong Wang, Lihong Li, Denny Zhou
    http://arxiv.org/abs/1904.11694v1

    • [cs.AI]Using Sub-Optimal Plan Detection to Identify Commitment Abandonment in Discrete Environments
    Ramon Fraga Pereira, Nir Oren, Felipe Meneguzzi
    http://arxiv.org/abs/1904.11737v1

    • [cs.CL]Are We Consistently Biased? Multidimensional Analysis of Biases in Distributional Word Vectors
    Anne Lauscher, Goran Glavaš
    http://arxiv.org/abs/1904.11783v1

    • [cs.CL]Contextualized Word Embeddings Enhanced Event Temporal Relation Extraction for Story Understanding
    Rujun Han, Mengyue Liang, Bashar Alhafni, Nanyun Peng
    http://arxiv.org/abs/1904.11942v1

    • [cs.CL]Fake News Early Detection: A Theory-driven Model
    Xinyi Zhou, Atishay Jain, Vir V. Phoha, Reza Zafarani
    http://arxiv.org/abs/1904.11679v1

    • [cs.CL]Look Who’s Talking: Inferring Speaker Attributes from Personal Longitudinal Dialog
    Charles Welch, Verónica Pérez-Rosas, Jonathan K. Kummerfeld, Rada Mihalcea
    http://arxiv.org/abs/1904.11610v1

    • [cs.CL]Neural Text Generation from Rich Semantic Representations
    Valerie Hajdik, Jan Buys, Michael W. Goodman, Emily M. Bender
    http://arxiv.org/abs/1904.11564v1

    • [cs.CL]Probing What Different NLP Tasks Teach Machines about Function Word Comprehension
    Najoung Kim, Roma Patel, Adam Poliak, Alex Wang, Patrick Xia, R. Thomas McCoy, Ian Tenney, Alexis Ross, Tal Linzen, Benjamin Van Durme, Samuel R. Bowman, Ellie Pavlick
    http://arxiv.org/abs/1904.11544v1

    • [cs.CL]Think Again Networks, the Delta Loss, and an Application in Language Modeling
    Alexandre Salle, Marcelo Prates
    http://arxiv.org/abs/1904.11816v1

    • [cs.CL]Transformers with convolutional context for ASR
    Abdelrahman Mohamed, Dmytro Okhonko, Luke Zettlemoyer
    http://arxiv.org/abs/1904.11660v1

    • [cs.CV]A Large Scale Urban Surveillance Video Dataset for Multiple-Object Tracking and Behavior Analysis
    Guojun Yin, Bin Liu, Huihui Zhu, Tao Gong, Nenghai Yu
    http://arxiv.org/abs/1904.11784v1

    • [cs.CV]A Survey on Face Data Augmentation
    Xiang Wang, Kai Wang, Shiguo Lian
    http://arxiv.org/abs/1904.11685v1

    • [cs.CV]Box-driven Class-wise Region Masking and Filling Rate Guided Loss for Weakly Supervised Semantic Segmentation
    Chunfeng Song, Yan Huang, Wanli Ouyang, Liang Wang
    http://arxiv.org/abs/1904.11693v1

    • [cs.CV]DeepPerimeter: Indoor Boundary Estimation from Posed Monocular Sequences
    Ameya Phalak, Zhao Chen, Darvin Yi, Khushi Gupta, Vijay Badrinarayanan, Andrew Rabinovich
    http://arxiv.org/abs/1904.11595v1

    • [cs.CV]EM-Fusion: Dynamic Object-Level SLAM with Probabilistic Data Association
    Michael Strecke, Jörg Stückler
    http://arxiv.org/abs/1904.11781v1

    • [cs.CV]Face Video Generation from a Single Image and Landmarks
    Kritaphat Songsri-in, Stefanos Zafeiriou
    http://arxiv.org/abs/1904.11521v1

    • [cs.CV]GN-Net: The Gauss-Newton Loss for Deep Direct SLAM
    Lukas von Stumberg, Patrick Wenzel, Qadeer Khan, Daniel Cremers
    http://arxiv.org/abs/1904.11932v1

    • [cs.CV]Graph Optimized Convolutional Networks
    Bo Jiang, Ziyan Zhang, Jin Tang, Bin Luo
    http://arxiv.org/abs/1904.11883v1

    • [cs.CV]High-Resolution Network for Photorealistic Style Transfer
    Ming Li, Chunyang Ye, Wei Li
    http://arxiv.org/abs/1904.11617v1

    • [cs.CV]Lifting AutoEncoders: Unsupervised Learning of a Fully-Disentangled 3D Morphable Model using Deep Non-Rigid Structure from Motion
    Mihir Sahasrabudhe, Zhixin Shu, Edward Bartrum, Riza Alp Guler, Dimitris Samaras, Iasonas Kokkinos
    http://arxiv.org/abs/1904.11960v1

    • [cs.CV]Meta-Sim: Learning to Generate Synthetic Datasets
    Amlan Kar, Aayush Prakash, Ming-Yu Liu, Eric Cameracci, Justin Yuan, Matt Rusiniak, David Acuna, Antonio Torralba, Sanja Fidler
    http://arxiv.org/abs/1904.11621v1

    • [cs.CV]Multiple Linear Regression Haze-removal Model Based on Dark Channel Prior
    Binghan Li, Wenrui Zhang, Mi Lu
    http://arxiv.org/abs/1904.11587v1

    • [cs.CV]Optical Flow Techniques for Facial Expression Analysis: Performance Evaluation and Improvements
    Benjamin Allaert, Isaac Ronald Ward, Ioan Marius Bilasco, Chaabane Djeraba, Mohammed Bennamoun
    http://arxiv.org/abs/1904.11592v1

    • [cs.CV]Producing Corpora of Medieval and Premodern Occitan
    Jean-Baptiste Camps, Gilles Guilhem Couffignal
    http://arxiv.org/abs/1904.11815v1

    • [cs.CV]Representation Similarity Analysis for Efficient Task taxonomy & Transfer Learning
    Kshitij Dwivedi, Gemma Roig
    http://arxiv.org/abs/1904.11740v1

    • [cs.CV]Scene Graph Prediction with Limited Labels
    Vincent S. Chen, Paroma Varma, Ranjay Krishna, Michael Bernstein, Christopher Re, Li Fei-Fei
    http://arxiv.org/abs/1904.11622v1

    • [cs.CV]Single Image Reflection Removal with Physically-based Rendering
    Soomin Kim, Yuchi Huo, Sung-Eui Yoon
    http://arxiv.org/abs/1904.11934v1

    • [cs.CV]Small Target Detection for Search and Rescue Operations using Distributed Deep Learning and Synthetic Data Generation
    Kyongsik Yun, Luan Nguyen, Tuan Nguyen, Doyoung Kim, Sarah Eldin, Alexander Huyen, Thomas Lu, Edward Chow
    http://arxiv.org/abs/1904.11619v1

    • [cs.CV]TVQA+: Spatio-Temporal Grounding for Video Question Answering
    Jie Lei, Licheng Yu, Tamara L. Berg, Mohit Bansal
    http://arxiv.org/abs/1904.11574v1

    • [cs.CV]Unifying Part Detection and Association for Recurrent Multi-Person Pose Estimation
    Rania Briq, Andreas Doering, Juergen Gall
    http://arxiv.org/abs/1904.11864v1

    • [cs.CV]Unsupervised Deep Learning by Neighbourhood Discovery
    Jiabo Huang, Qi Dong, Shaogang Gong, Xiatian Zhu
    http://arxiv.org/abs/1904.11567v1

    • [cs.CV]Weighted second-order cone programming twin support vector machine for imbalanced data classification
    Saeideh Roshanfekr, Shahriar Esmaeili, Hassan Ataeian, Ali Amiri
    http://arxiv.org/abs/1904.11634v1

    • [cs.CY]Characterizing web pornography consumption from passive measurements
    Andrea Morichetta, Martino Trevisan, Luca Vassio
    http://arxiv.org/abs/1904.11723v1

    • [cs.CY]Predicting Student Performance in an Educational Game Using a Hidden Markov Model
    Manie Tadayon, Greg Pottie
    http://arxiv.org/abs/1904.11857v1

    • [cs.CY]Sparse Neural Attentive Knowledge-based Models for Grade Prediction
    Sara Morsy, George Karypis
    http://arxiv.org/abs/1904.11858v1

    • [cs.DC]A Benchmarking Study to Evaluate Apache Spark on Large-Scale Supercomputers
    George K. Thiruvathukal, Cameron Christensen, Xiaoyong Jin, François Tessier, Venkatram Vishwanath
    http://arxiv.org/abs/1904.11812v1

    • [cs.DC]Developing Secure Services for IoT with OP-TEE: A First Look at Performance and Usability
    Christian Göttel, Pascal Felber, Valerio Schiavoni
    http://arxiv.org/abs/1904.11545v1

    • [cs.DC]Storage Solutions for Big Data Systems: A Qualitative Study and Comparison
    Samiya Khan, Xiufeng Liu, Syed Arshad Ali, Mansaf Alam
    http://arxiv.org/abs/1904.11498v1

    • [cs.DS]The Potential of Restarts for ProbSAT
    Jan-Hendrik Lorenz, Julian Nickerl
    http://arxiv.org/abs/1904.11757v1

    • [cs.HC]Gradient Descent for Sparse Rank-One Matrix Completion for Crowd-Sourced Aggregation of Sparsely Interacting Workers
    Yao Ma, Alex Olshevsky, Venkatesh Saligrama, Csaba Szepesvari
    http://arxiv.org/abs/1904.11608v1

    • [cs.HC]Interactive user interface based on Convolutional Auto-encoders for annotating CT-scans
    Martin Längkvist, Jonas Widell, Per Thunberg, Amy Loutfi, Mats Lidén
    http://arxiv.org/abs/1904.11701v1

    • [cs.IR]Recommending research articles to consumers of online vaccination information
    Eliza Harrison, Paige Martin, Didi Surian, Adam G. Dunn
    http://arxiv.org/abs/1904.11886v1

    • [cs.IT]Array BP-XOR Codes for Parallel Matrix Multiplication using Hierarchical Computing
    Suayb S. Arslan
    http://arxiv.org/abs/1904.11563v1

    • [cs.IT]Byzantine Multiple Access
    Neha Sangwan, Mayank Bakshi, Bikash Kumar Dey, Vinod M. Prabhakaran
    http://arxiv.org/abs/1904.11925v1

    • [cs.IT]Capacity per Unit-Energy of Gaussian Many-Access Channels
    Jithin Ravi, Tobias Koch
    http://arxiv.org/abs/1904.11742v1

    • [cs.IT]Construction of Subexponential-Size Optical Priority Queues with Switches and Fiber Delay Lines
    Bin Tang, Xiaoliang Wang, Cam-Tu Nguyen, Baoliu Ye, Sanglu Lu
    http://arxiv.org/abs/1904.11759v1

    • [cs.IT]Countably Infinite Multilevel Source Polarization for Non-Stationary Erasure Distributions
    Yuta Sakai, Ken-ichi Iwata, Hiroshi Fujisaki
    http://arxiv.org/abs/1904.11721v1

    • [cs.IT]Cryptanalysis of a System Based on Twisted Reed-Solomon Codes
    Julien Lavauzelle, Julian Renner
    http://arxiv.org/abs/1904.11785v1

    • [cs.IT]Sensing Matrix Design and Sparse Recovery on the Sphere and the Rotation Group
    Arya Bangun, Arash Behboodi, Rudolf Mathar
    http://arxiv.org/abs/1904.11596v1

    • [cs.IT]Towards a Non-Stochastic Information Theory
    Anshuka Rangi, Massimo Franceschetti
    http://arxiv.org/abs/1904.11632v1

    • [cs.LG]A Novel Orthogonal Direction Mesh Adaptive Direct Search Approach for SVM Hyperparameter Tuning
    Alexandre Reeberg Mello, Jonathan de Matos, Marcelo R. Stemmer, Alceu de Souza Britto Jr., Alessandro Lameiras Koerich
    http://arxiv.org/abs/1904.11649v1

    • [cs.LG]Adaptive Regret of Convex and Smooth Functions
    Lijun Zhang, Tie-Yan Liu, Zhi-Hua Zhou
    http://arxiv.org/abs/1904.11681v1

    • [cs.LG]AutoKGE: Searching Scoring Functions for Knowledge Graph Embedding
    Yongqi Zhang, Quanming Yao, Wenyuan Dai, Lei Chen
    http://arxiv.org/abs/1904.11682v1

    • [cs.LG]Bayesian Generative Active Deep Learning
    Toan Tran, Thanh-Toan Do, Ian Reid, Gustavo Carneiro
    http://arxiv.org/abs/1904.11643v1

    • [cs.LG]Classification from Pairwise Similarities/Dissimilarities and Unlabeled Data via Empirical Risk Minimization
    Takuya Shimada, Han Bao, Issei Sato, Masashi Sugiyama
    http://arxiv.org/abs/1904.11717v1

    • [cs.LG]Copy mechanism and tailored training for character-based data-to-text generation
    Marco Roberti, Giovanni Bonetta, Rossella Cancelliere, Patrick Gallinari
    http://arxiv.org/abs/1904.11838v1

    • [cs.LG]DPVis: Visual Exploration of Disease Progression Pathways
    Bum Chul Kwon, Vibha Anand, Kristen A Severson, Soumya Ghosh, Zhaonan Sun, Brigitte I Frohnert, Markus Lundgren, Kenney Ng
    http://arxiv.org/abs/1904.11652v1

    • [cs.LG]Decision Forest: A Nonparametric Approach to Modeling Irrational Choice
    Yi-Chun Chen, Velibor V. Mišić
    http://arxiv.org/abs/1904.11532v1

    • [cs.LG]Deep-IRT: Make Deep Learning Based Knowledge Tracing Explainable Using Item Response Theory
    Chun-Kit Yeung
    http://arxiv.org/abs/1904.11738v1

    • [cs.LG]DeepFreak: Learning Crystallography Diffraction Patterns with Automated Machine Learning
    Artur Souza, Leonardo B. Oliveira, Sabine Hollatz, Matt Feldman, Kunle Olukotun, James M. Holton, Aina E. Cohen, Luigi Nardi
    http://arxiv.org/abs/1904.11834v1

    • [cs.LG]End-to-End Adversarial Learning for Intrusion Detection in Computer Networks
    Bahram Mohammadi, Mohammad Sabokrou
    http://arxiv.org/abs/1904.11577v1

    • [cs.LG]Evaluating Recurrent Neural Network Explanations
    Leila Arras, Ahmed Osman, Klaus-Robert Müller, Wojciech Samek
    http://arxiv.org/abs/1904.11829v1

    • [cs.LG]Factored Contextual Policy Search with Bayesian Optimization
    Robert Pinsler, Peter Karkus, Andras Kupcsik, David Hsu, Wee Sun Lee
    http://arxiv.org/abs/1904.11761v1

    • [cs.LG]I-vector Based Features Embedding for Heart Sound Classification
    Mohammad Adiban, Bagher BabaAli, Saeedreza Shehnepoor
    http://arxiv.org/abs/1904.11914v1

    • [cs.LG]Learning Semantic Vector Representations of Source Code via a Siamese Neural Network
    David Wehr, Halley Fede, Eleanor Pence, Bo Zhang, Guilherme Ferreira, John Walczyk, Joseph Hughes
    http://arxiv.org/abs/1904.11968v1

    • [cs.LG]Learning to Prune: Speeding up Repeated Computations
    Daniel Alabi, Adam Tauman Kalai, Katrina Ligett, Cameron Musco, Christos Tzamos, Ellen Vitercik
    http://arxiv.org/abs/1904.11875v1

    • [cs.LG]Machine Learning For Distributed Acoustic Sensors, Classic versus Image and Deep Neural Networks Approach
    Mugdim Bublin
    http://arxiv.org/abs/1904.11546v1

    • [cs.LG]On Exact Computation with an Infinitely Wide Neural Net
    Sanjeev Arora, Simon S. Du, Wei Hu, Zhiyuan Li, Ruslan Salakhutdinov, Ruosong Wang
    http://arxiv.org/abs/1904.11955v1

    • [cs.LG]Robust Metric Learning based on the Rescaled Hinge Loss
    Sumia Abdulhussien Razooqi Al-Obaidi, Davood Zabihzadeh, Ali Salim Rasheed, Reza Monsefi
    http://arxiv.org/abs/1904.11711v1

    • [cs.LG]Robustness Verification of Support Vector Machines
    Francesco Ranzato, Marco Zanella
    http://arxiv.org/abs/1904.11803v1

    • [cs.LG]SWALP : Stochastic Weight Averaging in Low-Precision Training
    Guandao Yang, Tianyi Zhang, Polina Kirichenko, Junwen Bai, Andrew Gordon Wilson, Christopher De Sa
    http://arxiv.org/abs/1904.11943v1

    • [cs.LG]Stability and Optimization Error of Stochastic Gradient Descent for Pairwise Learning
    Wei Shen, Zhenhuan Yang, Yiming Ying, Xiaoming Yuan
    http://arxiv.org/abs/1904.11316v2

    • [cs.LG]Warm Up Cold-start Advertisements: Improving CTR Predictions via Learning to Learn ID Embeddings
    Feiyang Pan, Shuokai Li, Xiang Ao, Pingzhong Tang, Qing He
    http://arxiv.org/abs/1904.11547v1

    • [cs.RO]Crowd-sensing Simultaneous Localization and Radio Fingerprint Mapping based on Probabilistic Similarity Models
    Ran Liu, Sumudu Hasala Marakkalage, Madhushanka Padmal, Thiruketheeswaran Shaganan, Chau Yuen, Yong Liang Guan, U-Xuan Tan
    http://arxiv.org/abs/1904.11712v1

    • [cs.RO]Pedestrian Collision Avoidance System for Scenarios with Occlusions
    Markus Schratter, Maxime Bouton, Mykel J. Kochenderfer, Daniel Watzenig
    http://arxiv.org/abs/1904.11566v1

    • [cs.RO]Perceptual Attention-based Predictive Control
    Keuntaek Lee, Gabriel Nakajima An, Viacheslav Zakharov, Evangelos A. Theodorou
    http://arxiv.org/abs/1904.11898v1

    • [cs.SD]Speaker Sincerity Detection based on Covariance Feature Vectors and Ensemble Methods
    Mohammed Senoussaoui, Patrick Cardinal, Najim Dehak, Alessandro Lameiras Koerich
    http://arxiv.org/abs/1904.11641v1

    • [cs.SE]Formal Verification of Decision-Tree Ensemble Model and Detection of its Violating-input-value Ranges
    Naoto Sato, Hironobu Kuruma, Yuichiroh Nakagawa, Hideto Ogawa
    http://arxiv.org/abs/1904.11753v1

    • [cs.SI]Neural Ideal Point Estimation Network
    Kyungwoo Song, Wonsung Lee, Il-Chul Moon
    http://arxiv.org/abs/1904.11727v1

    • [cs.SI]Spectral partitioning of time-varying networks with unobserved edges
    Michael T. Schaub, Santiago Segarra, Hoi-To Wai
    http://arxiv.org/abs/1904.11930v1

    • [cs.SI]Towards Understanding Political Interactions on Instagram
    Martino Trevisan, Luca Vassio, Idilio Drago, Marco Mellia, Fabricio Murai, Flavio Figueiredo, Ana Paula Couto da Silva, Jussara M. Almeida
    http://arxiv.org/abs/1904.11719v1

    • [eess.IV]Accurate and Robust Alignment of Variable-stained Histologic Images Using a General-purpose Greedy Diffeomorphic Registration Tool
    Ludovic Venet, Sarthak Pati, Paul Yushkevich, Spyridon Bakas
    http://arxiv.org/abs/1904.11929v1

    • [eess.IV]Improved visible to IR image transformation using synthetic data augmentation with cycle-consistent adversarial networks
    Kyongsik Yun, Kevin Yu, Joseph Osborne, Sarah Eldin, Luan Nguyen, Alexander Huyen, Thomas Lu
    http://arxiv.org/abs/1904.11620v1

    • [hep-ph]Reporting Results in High Energy Physics Papers: a Manifesto
    Pietro Vischia
    http://arxiv.org/abs/1904.11718v1

    • [math.OC]General risk measures for robust machine learning
    Emilie Chouzenoux, Henri Gérard, Jean-Christophe Pesquet
    http://arxiv.org/abs/1904.11707v1

    • [math.OC]Parametric Scenario Optimization under Limited Data: A Distributionally Robust Optimization View
    Henry Lam, Fengpei Li
    http://arxiv.org/abs/1904.11626v1

    • [math.PR]Preferential attachment without vertex growth: emergence of the giant component
    Svante Janson, Lutz Warnke
    http://arxiv.org/abs/1904.11861v1

    • [math.ST]On the Dependence between Functions of Quantile and Dispersion Estimators
    Marcel Bräutigam, Marie Kratz
    http://arxiv.org/abs/1904.11871v1

    • [math.ST]Reference Bayesian analysis for hierarchical models
    Thaís C. O. Fonseca, Helio S. Migon, Heudson Mirandola
    http://arxiv.org/abs/1904.11609v1

    • [math.ST]Uniform minimum risk equivariant estimates for moment condition models
    Jana Jureckova, Amor Keziou, Michel Broniatowski, Jana CkovÂá, CkovÂ’ CkovÂá, Amor and
    http://arxiv.org/abs/1904.11823v1

    • [q-bio.NC]Passive nonlinear dendritic interactions as a general computational resource in functional spiking neural networks
    Andreas Stöckel, Chris Eliasmith
    http://arxiv.org/abs/1904.11713v1

    • [stat.AP]A Bayesian approach for small area population estimates using multiple administrative records
    Jairo Fuquene, Andryu Mendoza, Cesar Cristancho, Mariana Ospina
    http://arxiv.org/abs/1904.11144v2

    • [stat.AP]Performance modeling of electro-optical devices for military target acquisition
    Sumanta kumar das, R. S. Singh
    http://arxiv.org/abs/1904.11678v1

    • [stat.CO]Evaluating the boundary and Stieltjes transform of limiting spectral distributions for random matrices with a separable variance profile
    William Leeb
    http://arxiv.org/abs/1904.11665v1

    • [stat.CO]New visualizations for Monte Carlo simulations
    Nathan Robertson, James M. Flegal, Galin L. Jones, Dootika Vats
    http://arxiv.org/abs/1904.11912v1

    • [stat.ME]Bayesian Factor Analysis for Inference on Interactions
    Federico Ferrari, David B Dunson
    http://arxiv.org/abs/1904.11603v1

    • [stat.ME]Bayesian Variable Selection for Multi-Outcome Models Through Shared Shrinkage
    Debamita Kundu, Riten Mitra, Jeremy T. Gaskins
    http://arxiv.org/abs/1904.11594v1

    • [stat.ME]Multivariate Functional Data Modeling with Time-varying Clustering
    Philip A. White, Alan E. Gelfand
    http://arxiv.org/abs/1904.11518v1

    • [stat.ME]Parameter clustering in Bayesian functional PCA of fMRI data
    Nicolo’ Margaritella, Vanda Inacio de Carvalho, Ruth King
    http://arxiv.org/abs/1904.11758v1

    • [stat.ME]Poisson PCA: Poisson Measurement Error corrected PCA, with Application to Microbiome Data
    Toby Kenney, Tianshu Huang, Hong Gu
    http://arxiv.org/abs/1904.11745v1

    • [stat.ME]Structural modeling using overlapped group penalties for discovering predictive biomarkers for subgroup analysis
    Chong Ma, Wenxuan Deng, Shuangge Ma, Ray Liu, Kevin Galinsky
    http://arxiv.org/abs/1904.11648v1

    • [stat.ML]From Predictions to Prescriptions in Multistage Optimization Problems
    Dimitris Bertsimas, Christopher McCord
    http://arxiv.org/abs/1904.11637v1

    • [stat.ML]Online Learning Algorithms for Quaternion ARMA Model
    Xiaokun Pu, Chunguang Li
    http://arxiv.org/abs/1904.11830v1

    • [stat.ML]Simulating Execution Time of Tensor Programs using Graph Neural Networks
    Jakub M. Tomczak, Romain Lepert, Auke Wiggers
    http://arxiv.org/abs/1904.11876v1

    • [stat.OT]Evaluating the Success of a Data Analysis
    Stephanie C. Hicks, Roger D. Peng
    http://arxiv.org/abs/1904.11907v1