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