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.ET - 新兴技术 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.NE - 神经与进化计算 cs.RO - 机器人学 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 math.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 nlin.AO - 适应和自组织系统 q-bio.GN - 基因组学 q-bio.NC - 神经元与认知 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [cs.AI]Autonomous Open-Ended Learning of Interdependent Tasks
    • [cs.AI]Descriptive evaluation of students using fuzzy approximate reasoning
    • [cs.AI]Design Space Exploration as Quantified Satisfaction
    • [cs.AI]Learned human-agent decision-making, communication and joint action in a virtual reality environment
    • [cs.CL]Caveats in Generating Medical Imaging Labels from Radiology Reports
    • [cs.CL]Comprehensible Context-driven Text Game Playing
    • [cs.CL]English-Bhojpuri SMT System: Insights from the Karaka Model
    • [cs.CL]MASS: Masked Sequence to Sequence Pre-training for Language Generation
    • [cs.CL]Question Relatedness on Stack Overflow: The Task, Dataset, and Corpus-inspired Models
    • [cs.CL]RelExt: Relation Extraction using Deep Learning approaches for Cybersecurity Knowledge Graph Improvement
    • [cs.CL]The method of automatic summarization from different sources
    • [cs.CV]A Geometric Approach to Obtain a Bird’s Eye View from an Image
    • [cs.CV]Adapting Image Super-Resolution State-of-the-arts and Learning Multi-model Ensemble for Video Super-Resolution
    • [cs.CV]Attention-based Fusion for Multi-source Human Image Generation
    • [cs.CV]Automatic 4D Facial Expression Recognition via Collaborative Cross-domain Dynamic Image Network
    • [cs.CV]CARAFE: Content-Aware ReAssembly of FEatures
    • [cs.CV]Context-Aware Automatic Occlusion Removal
    • [cs.CV]Contrastive Learning for Lifted Networks
    • [cs.CV]EDVR: Video Restoration with Enhanced Deformable Convolutional Networks
    • [cs.CV]Ensemble of Convolutional Neural Networks Trained with Different Activation Functions
    • [cs.CV]Feature-Fused Context-Encoding Network for Neuroanatomy Segmentation
    • [cs.CV]Frame-wise Motion and Appearance for Real-time Multiple Object Tracking
    • [cs.CV]High Frequency Residual Learning for Multi-Scale Image Classification
    • [cs.CV]Image Matters: Detecting Offensive and Non-Compliant Content / Logo in Product Images
    • [cs.CV]Interactive Video Retrieval with Dialog
    • [cs.CV]LEDNet: A Lightweight Encoder-Decoder Network for Real-Time Semantic Segmentation
    • [cs.CV]Learning Unsupervised Multi-View Stereopsis via Robust Photometric Consistency
    • [cs.CV]Learning to Interpret Satellite Images in Global Scale Using Wikipedia
    • [cs.CV]Locality and Structure Regularized Low Rank Representation for Hyperspectral Image Classification
    • [cs.CV]P2SGrad: Refined Gradients for Optimizing Deep Face Models
    • [cs.CV]PackNet-SfM: 3D Packing for Self-Supervised Monocular Depth Estimation
    • [cs.CV]Recovering remote Photoplethysmograph Signal from Facial videos Using Spatio-Temporal Convolutional Networks
    • [cs.CV]Searching for MobileNetV3
    • [cs.CV]Semantic Adversarial Network for Zero-Shot Sketch-Based Image Retrieval
    • [cs.CV]Simultaneous Object Detection and Semantic Segmentation
    • [cs.CV]Source Generator Attribution via Inversion
    • [cs.CV]Sparse data interpolation using the geodesic distance affinity space
    • [cs.CV]Spatially Constrained Generative Adversarial Networks for Conditional Image Generation
    • [cs.CV]Transferring Multiscale Map Styles Using Generative Adversarial Networks
    • [cs.CV]Variational Representation Learning for Vehicle Re-Identification
    • [cs.CY]A model to assess customer alignment through customer experience concepts
    • [cs.CY]Business and Information Technology Alignment Measurement — a recent Literature Review
    • [cs.DC]Enhancing Quality of Experience using DHT Overlay on Device-to-Device Communications in LTE-A Networks
    • [cs.DC]Transferable Knowledge for Low-cost Decision Making in Cloud Environments
    • [cs.DS]Adversarially Robust Submodular Maximization under Knapsack Constraints
    • [cs.DS]Optimal Convergence Rate of Hamiltonian Monte Carlo for Strongly Logconcave Distributions
    • [cs.ET]An Interpretable Neural Network for Configuring Programmable Wireless Environments
    • [cs.HC]A Visual Programming Paradigm for Abstract Deep Learning Model Development
    • [cs.HC]On bias in social reviews of university courses
    • [cs.IR]A general graph-based framework for top-N recommendation using content, temporal and trust information
    • [cs.IR]Interactive Search and Exploration in Online Discussion Forums Using Multimodal Embeddings
    • [cs.IT]A Dynamic and Incentive Policy for Selecting D2D Mobile Relays
    • [cs.IT]Correcting Codes for Asymmetric Single Magnitude Four Error
    • [cs.IT]Greedy Signal Space Recovery Algorithm with Overcomplete Dictionaries in Compressive Sensing
    • [cs.IT]Hierarchical Coding to Enable Scalability and Flexibility in Heterogeneous Cloud Storage
    • [cs.IT]Lifted Multiplicity Codes
    • [cs.IT]Time-Varying Massive MIMO Channel Estimation: Capturing, Reconstruction and Restoration
    • [cs.IT]Two classes of linear codes and their generalized Hamming weights
    • [cs.LG]A Bayesian Variational Framework for Stochastic Optimization
    • [cs.LG]A Modular Deep Learning Approach for Extreme Multi-label Text Classification
    • [cs.LG]A joint model of unpaired data from scRNA-seq and spatial transcriptomics for imputing missing gene expression measurements
    • [cs.LG]Adversarial Variational Embedding for Robust Semi-supervised Learning
    • [cs.LG]An Integrated Multi-Time-Scale Modeling for Solar Irradiance Forecasting Using Deep Learning
    • [cs.LG]Are Graph Neural Networks Miscalibrated?
    • [cs.LG]CrossTrainer: Practical Domain Adaptation with Loss Reweighting
    • [cs.LG]Dimension-Wise Importance Sampling Weight Clipping for Sample-Efficient Reinforcement Learning
    • [cs.LG]FCC-GAN: A Fully Connected and Convolutional Net Architecture for GANs
    • [cs.LG]Gaussian Differential Privacy
    • [cs.LG]Generating Realistic Unrestricted Adversarial Inputs using Dual-Objective GAN Training
    • [cs.LG]Interpretable Outcome Prediction with Sparse Bayesian Neural Networks in Intensive Care
    • [cs.LG]Learning Causality: Synthesis of Large-Scale Causal Networks from High-Dimensional Time Series Data
    • [cs.LG]Learning Optimal Data Augmentation Policies via Bayesian Optimization for Image Classification Tasks
    • [cs.LG]Lessons from Real-World Reinforcement Learning in a Customer Support Bot
    • [cs.LG]Machine Learning Cryptanalysis of a Quantum Random Number Generator
    • [cs.LG]MixMatch: A Holistic Approach to Semi-Supervised Learning
    • [cs.LG]Neural Architecture Refinement: A Practical Way for Avoiding Overfitting in NAS
    • [cs.LG]Object Exchangeability in Reinforcement Learning: Extended Abstract
    • [cs.LG]REGAL: Transfer Learning For Fast Optimization of Computation Graphs
    • [cs.LG]Rethinking Arithmetic for Deep Neural Networks
    • [cs.LG]Sum-of-Squares Polynomial Flow
    • [cs.NE]A Comprehensive Analysis on Adversarial Robustness of Spiking Neural Networks
    • [cs.NE]Continual and Multi-task Reinforcement Learning With Shared Episodic Memory
    • [cs.RO]Bee$^+$: A 95-mg Four-Winged Insect-Scale Flying Robot Driven by Twinned Unimorph Actuators
    • [cs.RO]Collaborative Localization for Micro Aerial Vehicles
    • [cs.RO]Combining Planning and Deep Reinforcement Learning in Tactical Decision Making for Autonomous Driving
    • [cs.RO]FSMI: Fast computation of Shannon Mutual Information for information-theoretic mapping
    • [cs.SI]PocketCare: Tracking the Flu with Mobile Phones using Partial Observations of Proximity and Symptoms
    • [cs.SI]The Alt-Right and Global Information Warfare
    • [cs.SY]Optimal Control of Complex Systems through Variational Inference with a Discrete Event Decision Process
    • [eess.AS]Meeting Transcription Using Virtual Microphone Arrays
    • [eess.IV]Accurate Tissue Interface Segmentation via Adversarial Pre-Segmentation of Anterior Segment OCT Images
    • [eess.IV]DLIMD: Dictionary Learning based Image-domain Material Decomposition for spectral CT
    • [eess.IV]Efficient Neural Architecture Search on Low-Dimensional Data for OCT Image Segmentation
    • [eess.IV]Ocular Diseases Diagnosis in Fundus Images using a Deep Learning: Approaches, tools and Performance evaluation
    • [eess.IV]PI-BA Bundle Adjustment Acceleration on Embedded FPGAs with Co-observation Optimization
    • [eess.IV]Trinity of Pixel Enhancement: a Joint Solution for Demosaicking, Denoising and Super-Resolution
    • [math.OC]Convergence Rate of Distributed Optimization Algorithms Based on Gradient Tracking
    • [math.PR]Ergodic branching diffusions with immigration: properties of invariant occupation measure, identification of particles under high-frequency observation, and estimation of the diffusion coefficient at nonparametric rates
    • [math.ST]Moderate deviations in a class of stable but nearly unstable processes
    • [math.ST]On the assumption of independent right censoring
    • [math.ST]Tail dependence and smoothness
    • [nlin.AO]Performance boost of time-delay reservoir computing by non-resonant clock cycle
    • [q-bio.GN]Analysis of Gene Interaction Graphs for Biasing Machine Learning Models
    • [q-bio.NC]A Complementary Learning Systems Approach to Temporal Difference Learning
    • [q-bio.NC]Representation of White- and Black-Box Adversarial Examples in Deep Neural Networks and Humans: A Functional Magnetic Resonance Imaging Study
    • [stat.AP]A mixture model approach for clustering bipartite networks
    • [stat.AP]One-class classification with application to forensic analysis
    • [stat.AP]Tree-based Reconstruction of Ecological Network from Abundance Data
    • [stat.ME]F-measure Maximizing Logistic Regression
    • [stat.ME]On Weighted Multivariate Sign Functions
    • [stat.ML]Adversarial Examples Are Not Bugs, They Are Features
    • [stat.ML]Bayesian Optimization for Multi-objective Optimization and Multi-point Search
    • [stat.ML]Estimate Sequences for Variance-Reduced Stochastic Composite Optimization
    • [stat.ML]Guided Visual Exploration of Relations in Data Sets
    • [stat.ML]Hybrid Density- and Partition-based Clustering Algorithm for Data with Mixed-type Variables
    • [stat.ML]Knowing The What But Not The Where in Bayesian Optimization
    • [stat.ML]Learning Clique Forests
    • [stat.ML]Towards Evaluating and Understanding Robust Optimisation under Transfer

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

    • [cs.AI]Autonomous Open-Ended Learning of Interdependent Tasks
    Vieri Giuliano Santucci, Emilio Cartoni, Bruno Castro da Silva, Gianluca Baldassarre
    http://arxiv.org/abs/1905.02690v1

    • [cs.AI]Descriptive evaluation of students using fuzzy approximate reasoning
    Mohsen Annabestani, Alireza Rowhanimanesh, Aylar Mizani, Akram Rezaei
    http://arxiv.org/abs/1905.02549v1

    • [cs.AI]Design Space Exploration as Quantified Satisfaction
    Alexander Feldman, Johan de Kleer, Ion Matei
    http://arxiv.org/abs/1905.02303v1

    • [cs.AI]Learned human-agent decision-making, communication and joint action in a virtual reality environment
    Patrick M. Pilarski, Andrew Butcher, Michael Johanson, Matthew M. Botvinick, Andrew Bolt, Adam S. R. Parker
    http://arxiv.org/abs/1905.02691v1

    • [cs.CL]Caveats in Generating Medical Imaging Labels from Radiology Reports
    Tobi Olatunji, Li Yao, Ben Covington, Alexander Rhodes, Anthony Upton
    http://arxiv.org/abs/1905.02283v1

    • [cs.CL]Comprehensible Context-driven Text Game Playing
    Xusen Yin, Jonathan May
    http://arxiv.org/abs/1905.02265v1

    • [cs.CL]English-Bhojpuri SMT System: Insights from the Karaka Model
    Atul Kr. Ojha
    http://arxiv.org/abs/1905.02239v1

    • [cs.CL]MASS: Masked Sequence to Sequence Pre-training for Language Generation
    Kaitao Song, Xu Tan, Tao Qin, Jianfeng Lu, Tie-Yan Liu
    http://arxiv.org/abs/1905.02450v1

    • [cs.CL]Question Relatedness on Stack Overflow: The Task, Dataset, and Corpus-inspired Models
    Amirreza Shirani, Bowen Xu, David Lo, Thamar Solorio, Amin Alipour
    http://arxiv.org/abs/1905.01966v2

    • [cs.CL]RelExt: Relation Extraction using Deep Learning approaches for Cybersecurity Knowledge Graph Improvement
    Aditya Pingle, Aritran Piplai, Sudip Mittal, Anupam Joshi
    http://arxiv.org/abs/1905.02497v1

    • [cs.CL]The method of automatic summarization from different sources
    Nataliya Shakhovska, Taras Cherna
    http://arxiv.org/abs/1905.02623v1

    • [cs.CV]A Geometric Approach to Obtain a Bird’s Eye View from an Image
    Ammar Abbas, Andrew Zisserman
    http://arxiv.org/abs/1905.02231v1

    • [cs.CV]Adapting Image Super-Resolution State-of-the-arts and Learning Multi-model Ensemble for Video Super-Resolution
    Chao Li, Dongliang He, Xiao Liu, Yukang Ding, Shilei Wen
    http://arxiv.org/abs/1905.02462v1

    • [cs.CV]Attention-based Fusion for Multi-source Human Image Generation
    Stéphane Lathuilière, Enver Sangineto, Aliaksandr Siarohin, Nicu Sebe
    http://arxiv.org/abs/1905.02655v1

    • [cs.CV]Automatic 4D Facial Expression Recognition via Collaborative Cross-domain Dynamic Image Network
    Muzammil Behzad, Nhat Vo, Xiaobai Li, Guoying Zhao
    http://arxiv.org/abs/1905.02319v1

    • [cs.CV]CARAFE: Content-Aware ReAssembly of FEatures
    Jiaqi Wang, Kai Chen, Rui Xu, Ziwei Liu, Chen Change Loy, Dahua Lin
    http://arxiv.org/abs/1905.02188v2

    • [cs.CV]Context-Aware Automatic Occlusion Removal
    Kumara Kahatapitiya, Dumindu Tissera, Ranga Rodrigo
    http://arxiv.org/abs/1905.02710v1

    • [cs.CV]Contrastive Learning for Lifted Networks
    Christopher Zach, Virginia Estellers
    http://arxiv.org/abs/1905.02507v1

    • [cs.CV]EDVR: Video Restoration with Enhanced Deformable Convolutional Networks
    Xintao Wang, Kelvin C. K. Chan, Ke Yu, Chao Dong, Chen Change Loy
    http://arxiv.org/abs/1905.02716v1

    • [cs.CV]Ensemble of Convolutional Neural Networks Trained with Different Activation Functions
    Gianluca Maguolo, Loris Nanni, Stefano Ghidoni
    http://arxiv.org/abs/1905.02473v1

    • [cs.CV]Feature-Fused Context-Encoding Network for Neuroanatomy Segmentation
    Yuemeng Li, Hangfan Liu, Hongming Li, Yong Fan
    http://arxiv.org/abs/1905.02686v1

    • [cs.CV]Frame-wise Motion and Appearance for Real-time Multiple Object Tracking
    Jimuyang Zhang, Sanping Zhou, Jinjun Wang, Dong Huang
    http://arxiv.org/abs/1905.02292v1

    • [cs.CV]High Frequency Residual Learning for Multi-Scale Image Classification
    Bowen Cheng, Rong Xiao, Jianfeng Wang, Thomas Huang, Lei Zhang
    http://arxiv.org/abs/1905.02649v1

    • [cs.CV]Image Matters: Detecting Offensive and Non-Compliant Content / Logo in Product Images
    Shreyansh Gandhi, Samrat Kokkula, Abon Chaudhuri, Alessandro Magnani, Theban Stanley, Behzad Ahmadi, Venkatesh Kandaswamy, Omer Ovenc, Shie Mannor
    http://arxiv.org/abs/1905.02234v1

    • [cs.CV]Interactive Video Retrieval with Dialog
    Sho Maeoki, Kohei Uehara, Tatsuya Harada
    http://arxiv.org/abs/1905.02442v1

    • [cs.CV]LEDNet: A Lightweight Encoder-Decoder Network for Real-Time Semantic Segmentation
    Yu Wang, Quan Zhou, Jia Liu, Jian Xiong, Guangwei Gao, Xiaofu Wu, Longin Jan Latecki
    http://arxiv.org/abs/1905.02423v1

    • [cs.CV]Learning Unsupervised Multi-View Stereopsis via Robust Photometric Consistency
    Tejas Khot, Shubham Agrawal, Shubham Tulsiani, Christoph Mertz, Simon Lucey, Martial Hebert
    http://arxiv.org/abs/1905.02706v1

    • [cs.CV]Learning to Interpret Satellite Images in Global Scale Using Wikipedia
    Burak Uzkent, Evan Sheehan, Chenlin Meng, Zhongyi Tang, Marshall Burke, David Lobell, Stefano Ermon
    http://arxiv.org/abs/1905.02506v1

    • [cs.CV]Locality and Structure Regularized Low Rank Representation for Hyperspectral Image Classification
    Qi Wang, Xiange He, Xuelong Li
    http://arxiv.org/abs/1905.02488v1

    • [cs.CV]P2SGrad: Refined Gradients for Optimizing Deep Face Models
    Xiao Zhang, Rui Zhao, Junjie Yan, Mengya Gao, Yu Qiao, Xiaogang Wang, Hongsheng Li
    http://arxiv.org/abs/1905.02479v1

    • [cs.CV]PackNet-SfM: 3D Packing for Self-Supervised Monocular Depth Estimation
    Vitor Guizilini, Rares Ambrus, Sudeep Pillai, Adrien Gaidon
    http://arxiv.org/abs/1905.02693v1

    • [cs.CV]Recovering remote Photoplethysmograph Signal from Facial videos Using Spatio-Temporal Convolutional Networks
    Zitong Yu, Xiaobai Li, Guoying Zhao
    http://arxiv.org/abs/1905.02419v1

    • [cs.CV]Searching for MobileNetV3
    Andrew Howard, Mark Sandler, Grace Chu, Liang-Chieh Chen, Bo Chen, Mingxing Tan, Weijun Wang, Yukun Zhu, Ruoming Pang, Vijay Vasudevan, Quoc V. Le, Hartwig Adam
    http://arxiv.org/abs/1905.02244v1

    • [cs.CV]Semantic Adversarial Network for Zero-Shot Sketch-Based Image Retrieval
    Xinxun Xu, Hao Wang, Leida Li, Cheng Deng
    http://arxiv.org/abs/1905.02327v1

    • [cs.CV]Simultaneous Object Detection and Semantic Segmentation
    Niels Ole Salscheider
    http://arxiv.org/abs/1905.02285v1

    • [cs.CV]Source Generator Attribution via Inversion
    Michael Albright, Scott McCloskey
    http://arxiv.org/abs/1905.02259v1

    • [cs.CV]Sparse data interpolation using the geodesic distance affinity space
    Mikhail G. Mozerov, Fei Yang, Joost van de Weijer
    http://arxiv.org/abs/1905.02229v1

    • [cs.CV]Spatially Constrained Generative Adversarial Networks for Conditional Image Generation
    Songyao Jiang, Hongfu Liu, Yue Wu, Yun Fu
    http://arxiv.org/abs/1905.02320v1

    • [cs.CV]Transferring Multiscale Map Styles Using Generative Adversarial Networks
    Yuhao Kang, Song Gao, Robert E. Roth
    http://arxiv.org/abs/1905.02200v1

    • [cs.CV]Variational Representation Learning for Vehicle Re-Identification
    Saghir Ahmed Saghir Alfasly, Yongjian Hu, Tiancai Liang, Xiaofeng Jin, Qingli Zhao, Beibei Liu
    http://arxiv.org/abs/1905.02343v1

    • [cs.CY]A model to assess customer alignment through customer experience concepts
    Leonardo Munoz, Oscar Avila
    http://arxiv.org/abs/1905.02356v1

    • [cs.CY]Business and Information Technology Alignment Measurement — a recent Literature Review
    Leonardo Munoz, Oscar Avila
    http://arxiv.org/abs/1905.02349v1

    • [cs.DC]Enhancing Quality of Experience using DHT Overlay on Device-to-Device Communications in LTE-A Networks
    Sumit Kumar Tetarave, Somanath Tripathy, R. K. Ghosh
    http://arxiv.org/abs/1905.02381v1

    • [cs.DC]Transferable Knowledge for Low-cost Decision Making in Cloud Environments
    Faiza Samreen, Gordon S Blair, Yehia Elkhatib
    http://arxiv.org/abs/1905.02448v1

    • [cs.DS]Adversarially Robust Submodular Maximization under Knapsack Constraints
    Dmitrii Avdiukhin, Slobodan Mitrović, Grigory Yaroslavtsev, Samson Zhou
    http://arxiv.org/abs/1905.02367v1

    • [cs.DS]Optimal Convergence Rate of Hamiltonian Monte Carlo for Strongly Logconcave Distributions
    Zongchen Chen, Santosh S. Vempala
    http://arxiv.org/abs/1905.02313v1

    • [cs.ET]An Interpretable Neural Network for Configuring Programmable Wireless Environments
    Christos Liaskos, Ageliki Tsioliaridou, Shuai Nie, Andreas Pitsillides, Sotiris Ioannidis, Ian Akyildiz
    http://arxiv.org/abs/1905.02495v1

    • [cs.HC]A Visual Programming Paradigm for Abstract Deep Learning Model Development
    Srikanth Tamilselvam, Naveen Panwar, Shreya Khare, Rahul Aralikatte, Anush Sankaran, Senthil Mani
    http://arxiv.org/abs/1905.02486v1

    • [cs.HC]On bias in social reviews of university courses
    Taha Hassan
    http://arxiv.org/abs/1905.02272v1

    • [cs.IR]A general graph-based framework for top-N recommendation using content, temporal and trust information
    Armel Jacques Nzekon Nzeko’o, Maurice Tchuente, Matthieu Latapy
    http://arxiv.org/abs/1905.02681v1

    • [cs.IR]Interactive Search and Exploration in Online Discussion Forums Using Multimodal Embeddings
    Iva Gornishka, Stevan Rudinac, Marcel Worring
    http://arxiv.org/abs/1905.02430v1

    • [cs.IT]A Dynamic and Incentive Policy for Selecting D2D Mobile Relays
    Rita Ibrahim, Mohamad Assaad, Berna Sayrac
    http://arxiv.org/abs/1905.02392v1

    • [cs.IT]Correcting Codes for Asymmetric Single Magnitude Four Error
    Derong Xie, Jinquan Luo
    http://arxiv.org/abs/1905.02570v1

    • [cs.IT]Greedy Signal Space Recovery Algorithm with Overcomplete Dictionaries in Compressive Sensing
    Jianchen Zhu, Shengjie Zhao, Qingjiang Shi, Gonzalo R. Arce
    http://arxiv.org/abs/1905.02433v1

    • [cs.IT]Hierarchical Coding to Enable Scalability and Flexibility in Heterogeneous Cloud Storage
    Siyi Yang, Ahmed Hareedy, Robert Calderbank, Lara Dolecek
    http://arxiv.org/abs/1905.02279v1

    • [cs.IT]Lifted Multiplicity Codes
    Ray Li, Mary Wootters
    http://arxiv.org/abs/1905.02270v1

    • [cs.IT]Time-Varying Massive MIMO Channel Estimation: Capturing, Reconstruction and Restoration
    Muye Li, Shun Zhang, Nan Zhao, Weile Zhang, Xianbin Wang
    http://arxiv.org/abs/1905.02371v1

    • [cs.IT]Two classes of linear codes and their generalized Hamming weights
    Gaopeng Jian
    http://arxiv.org/abs/1905.02482v1

    • [cs.LG]A Bayesian Variational Framework for Stochastic Optimization
    Philippe Casgrain
    http://arxiv.org/abs/1905.01707v2

    • [cs.LG]A Modular Deep Learning Approach for Extreme Multi-label Text Classification
    Wei-Cheng Chang, Hsiang-Fu Yu, Kai Zhong, Yiming Yang, Inderjit Dhillon
    http://arxiv.org/abs/1905.02331v1

    • [cs.LG]A joint model of unpaired data from scRNA-seq and spatial transcriptomics for imputing missing gene expression measurements
    Romain Lopez, Achille Nazaret, Maxime Langevin, Jules Samaran, Jeffrey Regier, Michael I. Jordan, Nir Yosef
    http://arxiv.org/abs/1905.02269v1

    • [cs.LG]Adversarial Variational Embedding for Robust Semi-supervised Learning
    Xiang Zhang, Lina Yao, Feng Yuan
    http://arxiv.org/abs/1905.02361v1

    • [cs.LG]An Integrated Multi-Time-Scale Modeling for Solar Irradiance Forecasting Using Deep Learning
    Sakshi Mishra, Praveen Palanisamy
    http://arxiv.org/abs/1905.02616v1

    • [cs.LG]Are Graph Neural Networks Miscalibrated?
    Leonardo Teixeira, Brian Jalaian, Bruno Ribeiro
    http://arxiv.org/abs/1905.02296v1

    • [cs.LG]CrossTrainer: Practical Domain Adaptation with Loss Reweighting
    Justin Chen, Edward Gan, Kexin Rong, Sahaana Suri, Peter Bailis
    http://arxiv.org/abs/1905.02304v1

    • [cs.LG]Dimension-Wise Importance Sampling Weight Clipping for Sample-Efficient Reinforcement Learning
    Seungyul Han, Youngchul Sung
    http://arxiv.org/abs/1905.02363v1

    • [cs.LG]FCC-GAN: A Fully Connected and Convolutional Net Architecture for GANs
    Sukarna Barua, Sarah Monazam Erfani, James Bailey
    http://arxiv.org/abs/1905.02417v1

    • [cs.LG]Gaussian Differential Privacy
    Jinshuo Dong, Aaron Roth, Weijie J. Su
    http://arxiv.org/abs/1905.02383v1

    • [cs.LG]Generating Realistic Unrestricted Adversarial Inputs using Dual-Objective GAN Training
    Isaac Dunn, Tom Melham, Daniel Kroening
    http://arxiv.org/abs/1905.02463v1

    • [cs.LG]Interpretable Outcome Prediction with Sparse Bayesian Neural Networks in Intensive Care
    Anna-Lena Popkes, Hiske Overweg, Ari Ercole, Yingzhen Li, José Miguel Hernández-Lobato, Yordan Zaykov, Cheng Zhang
    http://arxiv.org/abs/1905.02599v1

    • [cs.LG]Learning Causality: Synthesis of Large-Scale Causal Networks from High-Dimensional Time Series Data
    Mark-Oliver Stehr, Peter Avar, Andrew R. Korte, Lida Parvin, Ziad J. Sahab, Deborah I. Bunin, Merrill Knapp, Denise Nishita, Andrew Poggio, Carolyn L. Talcott, Brian M. Davis, Christine A. Morton, Christopher J. Sevinsky, Maria I. Zavodszky, Akos Vertes
    http://arxiv.org/abs/1905.02291v1

    • [cs.LG]Learning Optimal Data Augmentation Policies via Bayesian Optimization for Image Classification Tasks
    Chunxu Zhang, Jiaxu Cui, Bo Yang
    http://arxiv.org/abs/1905.02610v1

    • [cs.LG]Lessons from Real-World Reinforcement Learning in a Customer Support Bot
    Nikos Karampatziakis, Sebastian Kochman, Jade Huang, Paul Mineiro, Kathy Osborne, Weizhu Chen
    http://arxiv.org/abs/1905.02219v1

    • [cs.LG]Machine Learning Cryptanalysis of a Quantum Random Number Generator
    Nhan Duy Truong, Jing Yan Haw, Syed Muhamad Assad, Ping Koy Lam, Omid Kavehei
    http://arxiv.org/abs/1905.02342v1

    • [cs.LG]MixMatch: A Holistic Approach to Semi-Supervised Learning
    David Berthelot, Nicholas Carlini, Ian Goodfellow, Nicolas Papernot, Avital Oliver, Colin Raffel
    http://arxiv.org/abs/1905.02249v1

    • [cs.LG]Neural Architecture Refinement: A Practical Way for Avoiding Overfitting in NAS
    Yang Jiang, Cong Zhao, Lei Pang
    http://arxiv.org/abs/1905.02341v1

    • [cs.LG]Object Exchangeability in Reinforcement Learning: Extended Abstract
    John Mern, Dorsa Sadigh, Mykel Kochenderfer
    http://arxiv.org/abs/1905.02698v1

    • [cs.LG]REGAL: Transfer Learning For Fast Optimization of Computation Graphs
    Aditya Paliwal, Felix Gimeno, Vinod Nair, Yujia Li, Miles Lubin, Pushmeet Kohli, Oriol Vinyals
    http://arxiv.org/abs/1905.02494v1

    • [cs.LG]Rethinking Arithmetic for Deep Neural Networks
    George A. Constantinides
    http://arxiv.org/abs/1905.02438v1

    • [cs.LG]Sum-of-Squares Polynomial Flow
    Priyank Jaini, Kira A. Selby, Yaoliang Yu
    http://arxiv.org/abs/1905.02325v1

    • [cs.NE]A Comprehensive Analysis on Adversarial Robustness of Spiking Neural Networks
    Saima Sharmin, Priyadarshini Panda, Syed Shakib Sarwar, Chankyu Lee, Wachirawit Ponghiran, Kaushik Roy
    http://arxiv.org/abs/1905.02704v1

    • [cs.NE]Continual and Multi-task Reinforcement Learning With Shared Episodic Memory
    Artyom Y. Sorokin, Mikhail S. Burtsev
    http://arxiv.org/abs/1905.02662v1

    • [cs.RO]Bee$^+$: A 95-mg Four-Winged Insect-Scale Flying Robot Driven by Twinned Unimorph Actuators
    Xiufeng Yang, Ying Chen, Longlong Chang, Ariel A. Calderón, Néstor O. Pérez-Arancibia
    http://arxiv.org/abs/1905.02253v1

    • [cs.RO]Collaborative Localization for Micro Aerial Vehicles
    Sai Vemprala, Srikanth Saripalli
    http://arxiv.org/abs/1905.02648v1

    • [cs.RO]Combining Planning and Deep Reinforcement Learning in Tactical Decision Making for Autonomous Driving
    Carl-Johan Hoel, Katherine Driggs-Campbell, Krister Wolff, Leo Laine, Mykel J. Kochenderfer
    http://arxiv.org/abs/1905.02680v1

    • [cs.RO]FSMI: Fast computation of Shannon Mutual Information for information-theoretic mapping
    Zhengdong Zhang, Trevor Henderson, Sertac Karaman, Vivienne Sze
    http://arxiv.org/abs/1905.02238v1

    • [cs.SI]PocketCare: Tracking the Flu with Mobile Phones using Partial Observations of Proximity and Symptoms
    Wen Dong, Tong Guan, Bruno Lepri, Chunming Qiao
    http://arxiv.org/abs/1905.02607v1

    • [cs.SI]The Alt-Right and Global Information Warfare
    Emmi Bevensee, Alexander Reid Ross
    http://arxiv.org/abs/1905.02712v1

    • [cs.SY]Optimal Control of Complex Systems through Variational Inference with a Discrete Event Decision Process
    Wen Dong, Bo Liu, Fan Yang
    http://arxiv.org/abs/1905.02606v1

    • [eess.AS]Meeting Transcription Using Virtual Microphone Arrays
    Takuya Yoshioka, Zhuo Chen, Dimitrios Dimitriadis, William Hinthorn, Xuedong Huang, Andreas Stolcke, Michael Zeng
    http://arxiv.org/abs/1905.02545v1

    • [eess.IV]Accurate Tissue Interface Segmentation via Adversarial Pre-Segmentation of Anterior Segment OCT Images
    Jiahong Ouyang, Tejas Sudharshan Mathai, Kira Lathrop, John Galeotti
    http://arxiv.org/abs/1905.02378v1

    • [eess.IV]DLIMD: Dictionary Learning based Image-domain Material Decomposition for spectral CT
    Weiwen Wu, Haijun Yu, Peijun Chen, Fulin Luo, Fenglin Liu, Qian Wang, Yining Zhu, Yanbo Zhang, Jian Feng, Hengyong Yu
    http://arxiv.org/abs/1905.02567v1

    • [eess.IV]Efficient Neural Architecture Search on Low-Dimensional Data for OCT Image Segmentation
    Nils Gessert, Alexander Schlaefer
    http://arxiv.org/abs/1905.02590v1

    • [eess.IV]Ocular Diseases Diagnosis in Fundus Images using a Deep Learning: Approaches, tools and Performance evaluation
    Yaroub Elloumi, Mohamed Akil, Henda Boudegga
    http://arxiv.org/abs/1905.02544v1

    • [eess.IV]PI-BA Bundle Adjustment Acceleration on Embedded FPGAs with Co-observation Optimization
    Shuzhen Qin, Qiang Liu, Bo Yu, Shaoshan Liu
    http://arxiv.org/abs/1905.02373v1

    • [eess.IV]Trinity of Pixel Enhancement: a Joint Solution for Demosaicking, Denoising and Super-Resolution
    Guocheng Qian, Jinjin Gu, Jimmy S. Ren, Chao Dong, Furong Zhao, Juan Lin
    http://arxiv.org/abs/1905.02538v1

    • [math.OC]Convergence Rate of Distributed Optimization Algorithms Based on Gradient Tracking
    Ying Sun, Amir Daneshmand, Gesualdo Scutari
    http://arxiv.org/abs/1905.02637v1

    • [math.PR]Ergodic branching diffusions with immigration: properties of invariant occupation measure, identification of particles under high-frequency observation, and estimation of the diffusion coefficient at nonparametric rates
    Matthias Hammer, Reinhard Höpfner, Tobias Berg
    http://arxiv.org/abs/1905.02656v1

    • [math.ST]Moderate deviations in a class of stable but nearly unstable processes
    Frédéric Proïa
    http://arxiv.org/abs/1905.02618v1

    • [math.ST]On the assumption of independent right censoring
    Morten Overgaard, Stefan Nygaard Hansen
    http://arxiv.org/abs/1905.02508v1

    • [math.ST]Tail dependence and smoothness
    Helena Ferreira, Marta Ferreira
    http://arxiv.org/abs/1905.02511v1

    • [nlin.AO]Performance boost of time-delay reservoir computing by non-resonant clock cycle
    Florian Stelzer, André Röhm, Kathy Lüdge, Serhiy Yanchuk
    http://arxiv.org/abs/1905.02534v1

    • [q-bio.GN]Analysis of Gene Interaction Graphs for Biasing Machine Learning Models
    Paul Bertin, Mohammad Hashir, Martin Weiss, Geneviève Boucher, Vincent Frappier, Joseph Paul Cohen
    http://arxiv.org/abs/1905.02295v1

    • [q-bio.NC]A Complementary Learning Systems Approach to Temporal Difference Learning
    Sam Blakeman, Denis Mareschal
    http://arxiv.org/abs/1905.02636v1

    • [q-bio.NC]Representation of White- and Black-Box Adversarial Examples in Deep Neural Networks and Humans: A Functional Magnetic Resonance Imaging Study
    Chihye Han, Wonjun Yoon, Gihyun Kwon, Seungkyu Nam, Daeshik Kim
    http://arxiv.org/abs/1905.02422v1

    • [stat.AP]A mixture model approach for clustering bipartite networks
    Isabella Gollini
    http://arxiv.org/abs/1905.02659v1

    • [stat.AP]One-class classification with application to forensic analysis
    Laura Anderlucci, Francesca Fortunato, Angela Montanari
    http://arxiv.org/abs/1905.02406v1

    • [stat.AP]Tree-based Reconstruction of Ecological Network from Abundance Data
    Raphaëlle Momal, Stéphane Robin, Christophe Ambroise
    http://arxiv.org/abs/1905.02452v1

    • [stat.ME]F-measure Maximizing Logistic Regression
    Masaaki Okabe, Jun Tsuchida, Hiroshi Yadohisa
    http://arxiv.org/abs/1905.02535v1

    • [stat.ME]On Weighted Multivariate Sign Functions
    Subhabrata Majumdar, Snigdhansu Chatterjee
    http://arxiv.org/abs/1905.02700v1

    • [stat.ML]Adversarial Examples Are Not Bugs, They Are Features
    Andrew Ilyas, Shibani Santurkar, Dimitris Tsipras, Logan Engstrom, Brandon Tran, Aleksander Madry
    http://arxiv.org/abs/1905.02175v2

    • [stat.ML]Bayesian Optimization for Multi-objective Optimization and Multi-point Search
    Takashi Wada, Hideitsu Hino
    http://arxiv.org/abs/1905.02370v1

    • [stat.ML]Estimate Sequences for Variance-Reduced Stochastic Composite Optimization
    Andrei Kulunchakov, Julien Mairal
    http://arxiv.org/abs/1905.02374v1

    • [stat.ML]Guided Visual Exploration of Relations in Data Sets
    Kai Puolamäki, Emilia Oikarinen, Andreas Henelius
    http://arxiv.org/abs/1905.02515v1

    • [stat.ML]Hybrid Density- and Partition-based Clustering Algorithm for Data with Mixed-type Variables
    Shu Wang, Jonathan G. Yabes, Chung-Chou H. Chang
    http://arxiv.org/abs/1905.02257v1

    • [stat.ML]Knowing The What But Not The Where in Bayesian Optimization
    Vu Nguyen, Michael A. Osborne
    http://arxiv.org/abs/1905.02685v1

    • [stat.ML]Learning Clique Forests
    Guido Previde Massara, Tomaso Aste
    http://arxiv.org/abs/1905.02266v1

    • [stat.ML]Towards Evaluating and Understanding Robust Optimisation under Transfer
    Todor Davchev, Timos Kores, Stathi Fotiadis, Nick Antonopoulos, Subramanian Ramamoorthy
    http://arxiv.org/abs/1905.02675v1