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.DB - 数据库 cs.DC - 分布式、并行与集群计算 cs.DM - 离散数学 cs.DS - 数据结构与算法 cs.GR - 计算机图形学 cs.GT - 计算机科学与博弈论 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.NI - 网络和互联网体系结构 cs.PF - 计算性能 cs.RO - 机器人学 cs.SD - 声音处理 cs.SI - 社交网络与信息网络 cs.SY - 系统与控制 econ.EM - 计量经济学 econ.GN - 一般经济学 eess.IV - 图像与视频处理 eess.SP - 信号处理 math.CO - 组合数学 math.NA - 数值分析 math.ST - 统计理论 nlin.AO - 适应和自组织系统 physics.data-an - 数据分析、 统计和概率 physics.soc-ph - 物理学与社会 q-bio.PE - 人口与发展 q-bio.QM - 定量方法 quant-ph - 量子物理 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [cs.CL]A Large Parallel Corpus of Full-Text Scientific Articles
    • [cs.CL]A Parallel Corpus of Theses and Dissertations Abstracts
    • [cs.CL]A Typedriven Vector Semantics for Ellipsis with Anaphora using Lambek Calculus with Limited Contraction
    • [cs.CL]Anonymized BERT: An Augmentation Approach to the Gendered Pronoun Resolution Challenge
    • [cs.CL]BVS Corpus: A Multilingual Parallel Corpus of Biomedical Scientific Texts
    • [cs.CL]Contextualization of Morphological Inflection
    • [cs.CL]Distributional Semantics and Linguistic Theory
    • [cs.CL]Effectiveness of Self Normalizing Neural Networks for Text Classification
    • [cs.CL]HHMM at SemEval-2019 Task 2: Unsupervised Frame Induction using Contextualized Word Embeddings
    • [cs.CL]Learning to Denoise Distantly-Labeled Data for Entity Typing
    • [cs.CL]RSL19BD at DBDC4: Ensemble of Decision Tree-based and LSTM-based Models
    • [cs.CL]UFRGS Participation on the WMT Biomedical Translation Shared Task
    • [cs.CR]DeepCheck: A Non-intrusive Control-flow Integrity Checking based on Deep Learning
    • [cs.CV]A Joint Convolutional Neural Networks and Context Transfer for Street Scenes Labeling
    • [cs.CV]A Methodological Review of Visual Road Recognition Procedures for Autonomous Driving Applications
    • [cs.CV]A Review of Object Detection Models based on Convolutional Neural Network
    • [cs.CV]Accurate Face Detection for High Performance
    • [cs.CV]Automated Building Image Extraction from 360-degree Panoramas for Post-Disaster Evaluation
    • [cs.CV]Automated Segmentation of Lesions in Ultrasound Using Semi-pixel-wise Cycle Generative Adversarial Nets
    • [cs.CV]CARAFE: Content-Aware ReAssembly of FEatures
    • [cs.CV]Conditional Generative Neural System for Probabilistic Trajectory Prediction
    • [cs.CV]Creating Lightweight Object Detectors with Model Compression for Deployment on Edge Devices
    • [cs.CV]Deep Convolutional Neural Network-Based Autonomous Drone Navigation
    • [cs.CV]Deep Multi-Sensor Lane Detection
    • [cs.CV]Deep Video Inpainting
    • [cs.CV]Deep Visual City Recognition Visualization
    • [cs.CV]DeepSignals: Predicting Intent of Drivers Through Visual Signals
    • [cs.CV]Drone Path-Following in GPS-Denied Environments using Convolutional Networks
    • [cs.CV]Embedding Structured Contour and Location Prior in Siamesed Fully Convolutional Networks for Road Detection
    • [cs.CV]Extracting human emotions at different places based on facial expressions and spatial clustering analysis
    • [cs.CV]Face Hallucination by Attentive Sequence Optimization with Reinforcement Learning
    • [cs.CV]FaceShapeGene: A Disentangled Shape Representation for Flexible Face Image Editing
    • [cs.CV]Fast and Reliable Architecture Selection for Convolutional Neural Networks
    • [cs.CV]Few-Shot Unsupervised Image-to-Image Translation
    • [cs.CV]Few-shot Adaptive Gaze Estimation
    • [cs.CV]Fine-grained Attention-based Video Face Recognition
    • [cs.CV]FlowSAN: Privacy-enhancing Semi-Adversarial Networks to Confound Arbitrary Face-based Gender Classifiers
    • [cs.CV]GETNET: A General End-to-end Two-dimensional CNN Framework for Hyperspectral Image Change Detection
    • [cs.CV]Image Captioning with Clause-Focused Metrics in a Multi-Modal Setting for Marketing
    • [cs.CV]Improved Hard Example Mining by Discovering Attribute-based Hard Person Identity
    • [cs.CV]Intra-clip Aggregation for Video Person Re-identification
    • [cs.CV]Label-Noise Robust Multi-Domain Image-to-Image Translation
    • [cs.CV]Learning Character-Agnostic Motion for Motion Retargeting in 2D
    • [cs.CV]Learning by Inertia: Self-supervised Monocular Visual Odometry for Road Vehicles
    • [cs.CV]Leveraging Crowdsourced GPS Data for Road Extraction from Aerial Imagery
    • [cs.CV]Localizing Adverts in Outdoor Scenes
    • [cs.CV]Nostalgin: Extracting 3D City Models from Historical Image Data
    • [cs.CV]On Exploring Undetermined Relationships for Visual Relationship Detection
    • [cs.CV]P-ODN: Prototype based Open Deep Network for Open Set Recognition
    • [cs.CV]PasteGAN: A Semi-Parametric Method to Generate Image from Scene Graph
    • [cs.CV]Pixel-wise Regression: 3D Hand Pose Estimation via Spatial-form Representation and Differentiable Decoder
    • [cs.CV]SEMEDA: Enhancing Segmentation Precision with Semantic Edge Aware Loss
    • [cs.CV]Simulating CRF with CNN for CNN
    • [cs.CV]Single Image 3D Hand Reconstruction with Mesh Convolutions
    • [cs.CV]SoilingNet: Soiling Detection on Automotive Surround-View Cameras
    • [cs.CV]Spatio-Temporal Action Localization in a Weakly Supervised Setting
    • [cs.CV]The Missing Data Encoder: Cross-Channel Image Completion\with Hide-And-Seek Adversarial Network
    • [cs.CV]Towards Instance-level Image-to-Image Translation
    • [cs.CV]Towards More Realistic Human-Robot Conversation: A Seq2Seq-based Body Gesture Interaction System
    • [cs.CV]Understanding urban landuse from the above and ground perspectives: a deep learning, multimodal solution
    • [cs.CV]VSSA-NET: Vertical Spatial Sequence Attention Network for Traffic Sign Detection
    • [cs.CV]Visibility Constrained Generative Model for Depth-based 3D Facial Pose Tracking
    • [cs.CV]WoodScape: A multi-task, multi-camera fisheye dataset for autonomous driving
    • [cs.CY]Internet, Social Media and Conflict Studies Can Greater Interdisciplinarity Solve the Analytical Deadlocks in Cybersecurity Research?
    • [cs.DB]Adaptive filter ordering in Spark
    • [cs.DB]Big Data Model “Entity and Features”
    • [cs.DB]Dataspace architecture and manage its components class projection
    • [cs.DB]Learning Functional Dependencies with Sparse Regression
    • [cs.DC]Adaptive Task Allocation for Asynchronous Federated Mobile Edge Learning
    • [cs.DC]Efficient Inter-Datacenter Bulk Transfers with Mixed Completion Time Objectives
    • [cs.DC]Job Edge-Fog Interconnection Network Creation Game in Internet of Things
    • [cs.DC]Lynceus: Tuning and Provisioning Data Analytic Jobs on a Budget
    • [cs.DC]Multi-threaded Output in CMS using ROOT
    • [cs.DC]Parsl: Pervasive Parallel Programming in Python
    • [cs.DC]Real-Time Simulation in Real-Time Systems: Current Status, Research Challenges and A Way Forward
    • [cs.DC]Remove-Win: a Design Framework for Conflict-free Replicated Data Collections
    • [cs.DM]Quantitative Group Testing in the Sublinear Regime
    • [cs.DS]Efficient Second-Order Shape-Constrained Function Fitting
    • [cs.DS]Faster algorithms for polytope rounding, sampling, and volume computation via a sublinear “Ball Walk’’
    • [cs.GR]A Similarity Measure for Material Appearance
    • [cs.GR]Unsupervised Detection of Distinctive Regions on 3D Shapes
    • [cs.GT]Computing a Data Dividend
    • [cs.HC]Intrinsically Motivated Autonomy in Human-Robot Interaction: Human Perception of Predictive Information in Robots
    • [cs.HC]Public vs Media Opinion on Robots
    • [cs.HC]Understanding Perceptions of Problematic Facebook Use: When People Experience Negative Life Impact and a Lack of Control
    • [cs.IR]Investigating the Successes and Failures of BERT for Passage Re-Ranking
    • [cs.IR]Latent Unexpected and Useful Recommendation
    • [cs.IR]On the Difficulty of Evaluating Baselines: A Study on Recommender Systems
    • [cs.IR]POG: Personalized Outfit Generation for Fashion Recommendation at Alibaba iFashion
    • [cs.IR]Personalized Query Auto-Completion Through a Lightweight Representation of the User Context
    • [cs.IR]Visually-aware Recommendation with Aesthetic Features
    • [cs.IT]A Throughput and Energy Efficiency Scheme for Unlicensed Massive Machine Type Communications
    • [cs.IT]Age of Information Scaling in Large Networks with Hierarchical Cooperation
    • [cs.IT]Online Trajectory Optimization for Rotary-Wing UAVs in Wireless Networks
    • [cs.IT]Optimal Resource Allocation for Cellular Networks with Virtual Cell Joint Decoding
    • [cs.IT]Optimization-based Decentralized Coded Caching for Files and Caches with Arbitrary Size
    • [cs.IT]Passive Beamforming and Information Transfer via Large Intelligent Surface
    • [cs.IT]Stochastic Design and Analysis of Wireless Cloud Caching Networks
    • [cs.IT]Two constructions of asymptotically optimal codebooks via the trace functions
    • [cs.LG]A Bayesian Variational Framework for Stochastic Optimization
    • [cs.LG]A Survey on Neural Architecture Search
    • [cs.LG]An embarrassingly simple approach to neural multiple instance classification
    • [cs.LG]Auditing ImageNet: Towards a Model-driven Framework for Annotating Demographic Attributes of Large-Scale Image Datasets
    • [cs.LG]Batch Normalization is a Cause of Adversarial Vulnerability
    • [cs.LG]Better the Devil you Know: An Analysis of Evasion Attacks using Out-of-Distribution Adversarial Examples
    • [cs.LG]Characterizing the invariances of learning algorithms using category theory
    • [cs.LG]Clustering-aware Graph Construction: A Joint Learning Perspective
    • [cs.LG]Curious Meta-Controller: Adaptive Alternation between Model-Based and Model-Free Control in Deep Reinforcement Learning
    • [cs.LG]Deep Discriminative Clustering Analysis
    • [cs.LG]Deep Ordinal Reinforcement Learning
    • [cs.LG]Development of a Forecasting and Warning System on the Ecological Life-Cycle of Sunn Pest
    • [cs.LG]Differentiable Architecture Search with Ensemble Gumbel-Softmax
    • [cs.LG]Edge-labeling Graph Neural Network for Few-shot Learning
    • [cs.LG]Fast communication-efficient spectral clustering over distributed data
    • [cs.LG]Free Component Analysis: Theory, Algorithms & Applications
    • [cs.LG]Hierarchical Policy Learning is Sensitive to Goal Space Design
    • [cs.LG]Interpretable Automated Machine Learning in Maana(TM) Knowledge Platform
    • [cs.LG]Learning Graph Neural Networks with Noisy Labels
    • [cs.LG]Learning to Control in Metric Space with Optimal Regret
    • [cs.LG]Maximal Margin Distribution Support Vector Regression with coupled Constraints-based Convex Optimization
    • [cs.LG]Meta-learners’ learning dynamics are unlike learners’
    • [cs.LG]Missing Data Imputation with Adversarially-trained Graph Convolutional Networks
    • [cs.LG]Multivariate Time Series Classification using Dilated Convolutional Neural Network
    • [cs.LG]NAMSG: An Efficient Method For Training Neural Networks
    • [cs.LG]New Item Consumption Prediction Using Deep Learning
    • [cs.LG]Optimal Resampling for Learning Small Models
    • [cs.LG]P3O: Policy-on Policy-off Policy Optimization
    • [cs.LG]Predicting Economic Development using Geolocated Wikipedia Articles
    • [cs.LG]SinReQ: Generalized Sinusoidal Regularization for Automatic Low-Bitwidth Deep Quantized Training
    • [cs.LG]Static Activation Function Normalization
    • [cs.LG]Temporal Graph Convolutional Networks for Automatic Seizure Detection
    • [cs.LG]The Game of Tetris in Machine Learning
    • [cs.LG]Unsupervised Domain Adaptation using Graph Transduction Games
    • [cs.LG]Zero-Shot Audio Classification Based on Class Label Embeddings
    • [cs.NI]Towards Big data processing in IoT: network management for online edge data processing
    • [cs.PF]Evolutionary Optimisation of Real-Time Systems and Networks
    • [cs.RO]Data-efficient Learning of Morphology and Controller for a Microrobot
    • [cs.RO]IVO: Inverse Velocity Obstacles for Real Time Navigation
    • [cs.RO]Path Planning for Autonomous Bus Driving in Urban Environments
    • [cs.RO]ReFusion: 3D Reconstruction in Dynamic Environments for RGB-D Cameras Exploiting Residuals
    • [cs.RO]Stability Control of Walking Biped Robots based on Total Momentum
    • [cs.RO]Stabilization of Bipedal Robot Motion based on Total Momentum
    • [cs.SD]Deep Tensor Factorization for Spatially-Aware Scene Decomposition
    • [cs.SD]Learning with Learned Loss Function: Speech Enhancement with Quality-Net to Improve Perceptual Evaluation of Speech Quality
    • [cs.SI]An End-to-End Framework to Identify Pathogenic Social Media Accounts on Twitter
    • [cs.SI]Characterizing Attention Cascades in WhatsApp Groups
    • [cs.SI]Detecting Pathogenic Social Media Accounts without Content or Network Structure
    • [cs.SI]DynComm R Package — Dynamic Community Detection for Evolving Networks
    • [cs.SI]Is a Single Embedding Enough? Learning Node Representations that Capture Multiple Social Contexts
    • [cs.SI]Representation Learning for Attributed Multiplex Heterogeneous Network
    • [cs.SI]Same Influenza, Different Responses: Social Media Can Sense a Regional Spectrum of Symptoms
    • [cs.SY]On the Controllability of Clustered Scale-Free Networks
    • [econ.EM]Non-standard inference for augmented double autoregressive models with null volatility coefficients
    • [econ.GN]Impact of Artificial Intelligence on Businesses: from Research, Innovation, Market Deployment to Future Shifts in Business Models
    • [eess.IV]Breast Tumor Cellularity Assessment using Deep Neural Networks
    • [eess.SP]A Pattern Recognition Method for Partial Discharge Detection on Insulated Overhead Conductors
    • [eess.SP]PhaseDNN - A Parallel Phase Shift Deep Neural Network for Adaptive Wideband Learning
    • [math.CO]On optimal weak algebraic manipulation detection codes and weighted external difference families
    • [math.NA]Computation of Circular Area and Spherical Volume Invariants via Boundary Integrals
    • [math.NA]Propagation of Uncertainties in Density-Driven Flow
    • [math.ST]De-biased graphical Lasso for high-frequency data
    • [math.ST]Estimating Piecewise Monotone Signals
    • [math.ST]Exact Largest Eigenvalue Distribution for Doubly Singular Beta Ensemble
    • [math.ST]Improved Classification Rates for Localized SVMs
    • [math.ST]Projection Theorems, Estimating Equations, and Power-Law Distributions
    • [math.ST]Test for homogeneity with unordered paired observations
    • [nlin.AO]Model reconstruction from temporal data for coupled oscillator networks
    • [physics.data-an]Estimating the Mutual Information between two Discrete, Asymmetric Variables with Limited Samples
    • [physics.soc-ph]Universality of population recovery patterns after disasters
    • [q-bio.PE]Maximum likelihood (ML) estimators for scaled mutation parameters with a strand symmetric mutation model in equilibrium
    • [q-bio.QM]Machine Learning to Predict Developmental Neurotoxicity with High-throughput Data from 2D Bio-engineered Tissues
    • [quant-ph]Matrix Product State Based Quantum Classifier
    • [stat.AP]Estimating the effect of PEG in ALS patients using observational data subject to censoring by death and missing outcomes
    • [stat.AP]Estimation of high-dimensional factor models and its application in power data analysis
    • [stat.AP]Informed Bayesian Inference for the A/B Test
    • [stat.AP]Robust multiple comparisons against a control group with application in toxicology
    • [stat.ME]Efficient selection of predictive biomarkers for individual treatment selection
    • [stat.ME]Multivariate Signal Modelling with Applications to Inertial Sensor Calibration
    • [stat.ME]Propensity Process: a Balancing Functional
    • [stat.ME]Regularized estimation for highly multivariate log Gaussian Cox processes
    • [stat.ME]Spectral density estimation using P-spline priors
    • [stat.ML]ARSM: Augment-REINFORCE-Swap-Merge Estimator for Gradient Backpropagation Through Categorical Variables
    • [stat.ML]Adversarial Examples Are Not Bugs, They Are Features
    • [stat.ML]Improving and Understanding Variational Continual Learning
    • [stat.ML]Statistically Discriminative Sub-trajectory Mining
    • [stat.ML]Tight Regret Bounds for Infinite-armed Linear Contextual Bandits
    • [stat.ML]Vertex Nomination, Consistent Estimation, and Adversarial Modification

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

    • [cs.CL]A Large Parallel Corpus of Full-Text Scientific Articles
    Felipe Soares, Viviane Pereira Moreira, Karin Becker
    http://arxiv.org/abs/1905.01852v1

    • [cs.CL]A Parallel Corpus of Theses and Dissertations Abstracts
    Felipe Soares, Gabrielli Harumi Yamashita, Michel Jose Anzanello
    http://arxiv.org/abs/1905.01715v1

    • [cs.CL]A Typedriven Vector Semantics for Ellipsis with Anaphora using Lambek Calculus with Limited Contraction
    Gijs Wijnholds, Mehrnoosh Sadrzadeh
    http://arxiv.org/abs/1905.01647v1

    • [cs.CL]Anonymized BERT: An Augmentation Approach to the Gendered Pronoun Resolution Challenge
    Bo Liu
    http://arxiv.org/abs/1905.01780v1

    • [cs.CL]BVS Corpus: A Multilingual Parallel Corpus of Biomedical Scientific Texts
    Felipe Soares, Martin Krallinger
    http://arxiv.org/abs/1905.01712v1

    • [cs.CL]Contextualization of Morphological Inflection
    Ekaterina Vylomova, Ryan Cotterell, Timothy Baldwin, Trevor Cohn, Jason Eisner
    http://arxiv.org/abs/1905.01420v1

    • [cs.CL]Distributional Semantics and Linguistic Theory
    Gemma Boleda
    http://arxiv.org/abs/1905.01896v1

    • [cs.CL]Effectiveness of Self Normalizing Neural Networks for Text Classification
    Avinash Madasu, Vijjini Anvesh Rao
    http://arxiv.org/abs/1905.01338v1

    • [cs.CL]HHMM at SemEval-2019 Task 2: Unsupervised Frame Induction using Contextualized Word Embeddings
    Saba Anwar, Dmitry Ustalov, Nikolay Arefyev, Simone Paolo Ponzetto, Chris Biemann, Alexander Panchenko
    http://arxiv.org/abs/1905.01739v1

    • [cs.CL]Learning to Denoise Distantly-Labeled Data for Entity Typing
    Yasumasa Onoe, Greg Durrett
    http://arxiv.org/abs/1905.01566v1

    • [cs.CL]RSL19BD at DBDC4: Ensemble of Decision Tree-based and LSTM-based Models
    Chih-Hao Wang, Sosuke Kato, Tetsuya Sakai
    http://arxiv.org/abs/1905.01799v1

    • [cs.CL]UFRGS Participation on the WMT Biomedical Translation Shared Task
    Felipe Soares, Karin Becker
    http://arxiv.org/abs/1905.01855v1

    • [cs.CR]DeepCheck: A Non-intrusive Control-flow Integrity Checking based on Deep Learning
    Jiliang Zhang, Wuqiao Chen, Yuqi Niu
    http://arxiv.org/abs/1905.01858v1

    • [cs.CV]A Joint Convolutional Neural Networks and Context Transfer for Street Scenes Labeling
    Qi Wang, Junyu Gao, Yuan Yuan
    http://arxiv.org/abs/1905.01574v1

    • [cs.CV]A Methodological Review of Visual Road Recognition Procedures for Autonomous Driving Applications
    Kai Li Lim, Thomas Bräunl
    http://arxiv.org/abs/1905.01635v1

    • [cs.CV]A Review of Object Detection Models based on Convolutional Neural Network
    F. Sultana, A. Sufian, P. Dutta
    http://arxiv.org/abs/1905.01614v1

    • [cs.CV]Accurate Face Detection for High Performance
    Faen Zhang, Xinyu Fan, Guo Ai, Jianfei Song, Yongqiang Qin, Jiahong Wu
    http://arxiv.org/abs/1905.01585v1

    • [cs.CV]Automated Building Image Extraction from 360-degree Panoramas for Post-Disaster Evaluation
    Ali Lenjani, Chul Min Yeum, Shirley Dyke, Ilias Bilionis
    http://arxiv.org/abs/1905.01524v1

    • [cs.CV]Automated Segmentation of Lesions in Ultrasound Using Semi-pixel-wise Cycle Generative Adversarial Nets
    Jie Xing, Zheren Li, Biyuan Wang, Bingbin Yu, Farhad G. Zanjani, Aiwen Zheng, Remco Duits, Tao Tan
    http://arxiv.org/abs/1905.01902v1

    • [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/1905.02188v1

    • [cs.CV]Conditional Generative Neural System for Probabilistic Trajectory Prediction
    Jiachen Li, Hengbo Ma, Masayoshi Tomizuka
    http://arxiv.org/abs/1905.01631v1

    • [cs.CV]Creating Lightweight Object Detectors with Model Compression for Deployment on Edge Devices
    Yiwu Yao, Weiqiang Yang, Haoqi Zhu
    http://arxiv.org/abs/1905.01787v1

    • [cs.CV]Deep Convolutional Neural Network-Based Autonomous Drone Navigation
    K. Amer, M. Samy, M. Shaker, M. ElHelw
    http://arxiv.org/abs/1905.01657v1

    • [cs.CV]Deep Multi-Sensor Lane Detection
    Min Bai, Gellert Mattyus, Namdar Homayounfar, Shenlong Wang, Shrinidhi Kowshika Lakshmikanth, Raquel Urtasun
    http://arxiv.org/abs/1905.01555v1

    • [cs.CV]Deep Video Inpainting
    Dahun Kim, Sanghyun Woo, Joon-Young Lee, In So Kweon
    http://arxiv.org/abs/1905.01639v1

    • [cs.CV]Deep Visual City Recognition Visualization
    Xiangwei Shi, Seyran Khademi, Jan van Gemert
    http://arxiv.org/abs/1905.01932v1

    • [cs.CV]DeepSignals: Predicting Intent of Drivers Through Visual Signals
    Davi Frossard, Eric Kee, Raquel Urtasun
    http://arxiv.org/abs/1905.01333v1

    • [cs.CV]Drone Path-Following in GPS-Denied Environments using Convolutional Networks
    M. Samy, K. Amer, M. Shaker, M. ElHelw
    http://arxiv.org/abs/1905.01658v1

    • [cs.CV]Embedding Structured Contour and Location Prior in Siamesed Fully Convolutional Networks for Road Detection
    Qi Wang, Junyu Gao, Yuan Yuan
    http://arxiv.org/abs/1905.01575v1

    • [cs.CV]Extracting human emotions at different places based on facial expressions and spatial clustering analysis
    Yuhao Kang, Qingyuan Jia, Song Gao, Xiaohuan Zeng, Yueyao Wang, Stephan Angsuesser, Yu Liu, Xinyue Ye, Teng Fei
    http://arxiv.org/abs/1905.01817v1

    • [cs.CV]Face Hallucination by Attentive Sequence Optimization with Reinforcement Learning
    Yukai Shi, Guanbin Li, Qingxing Cao, Keze Wang, Liang Lin
    http://arxiv.org/abs/1905.01509v1

    • [cs.CV]FaceShapeGene: A Disentangled Shape Representation for Flexible Face Image Editing
    Sen-Zhe Xu, Hao-Zhi Huang, Shi-Min Hu, Wei Liu
    http://arxiv.org/abs/1905.01920v1

    • [cs.CV]Fast and Reliable Architecture Selection for Convolutional Neural Networks
    Lukas Hahn, Lutz Roese-Koerner, Klaus Friedrichs, Anton Kummert
    http://arxiv.org/abs/1905.01924v1

    • [cs.CV]Few-Shot Unsupervised Image-to-Image Translation
    Ming-Yu Liu, Xun Huang, Arun Mallya, Tero Karras, Timo Aila, Jaakko Lehtinen, Jan Kautz
    http://arxiv.org/abs/1905.01723v1

    • [cs.CV]Few-shot Adaptive Gaze Estimation
    Seonwook Park, Shalini De Mello, Pavlo Molchanov, Umar Iqbal, Otmar Hilliges, Jan Kautz
    http://arxiv.org/abs/1905.01941v1

    • [cs.CV]Fine-grained Attention-based Video Face Recognition
    Zhaoxiang Liu, Huan Hu, Jinqiang Bai, Shaohua Li, Shiguo Lian
    http://arxiv.org/abs/1905.01796v1

    • [cs.CV]FlowSAN: Privacy-enhancing Semi-Adversarial Networks to Confound Arbitrary Face-based Gender Classifiers
    Vahid Mirjalili, Sebastian Raschka, Arun Ross
    http://arxiv.org/abs/1905.01388v1

    • [cs.CV]GETNET: A General End-to-end Two-dimensional CNN Framework for Hyperspectral Image Change Detection
    Qi Wang, Senior Member, IEEE, Zhenghang Yuan, Qian Du, Fellow, IEEE, Xuelong Li, Fellow, IEEE
    http://arxiv.org/abs/1905.01662v1

    • [cs.CV]Image Captioning with Clause-Focused Metrics in a Multi-Modal Setting for Marketing
    Philipp Harzig, Dan Zecha, Rainer Lienhart, Carolin Kaiser, René Schallner
    http://arxiv.org/abs/1905.01919v1

    • [cs.CV]Improved Hard Example Mining by Discovering Attribute-based Hard Person Identity
    Xiao Wang, Ziliang Chen, Rui Yang, Bin Luo, Jin Tang
    http://arxiv.org/abs/1905.02102v1

    • [cs.CV]Intra-clip Aggregation for Video Person Re-identification
    Takashi Isobe, Jian Han, Fang Zhu, Yali Li, Shengjin Wang
    http://arxiv.org/abs/1905.01722v1

    • [cs.CV]Label-Noise Robust Multi-Domain Image-to-Image Translation
    Takuhiro Kaneko, Tatsuya Harada
    http://arxiv.org/abs/1905.02185v1

    • [cs.CV]Learning Character-Agnostic Motion for Motion Retargeting in 2D
    Kfir Aberman, Rundi Wu, Dani Lischinski, Baoquan Chen, Daniel Cohen-Or
    http://arxiv.org/abs/1905.01680v1

    • [cs.CV]Learning by Inertia: Self-supervised Monocular Visual Odometry for Road Vehicles
    Chengze Wang, Yuan Yuan, Qi Wang
    http://arxiv.org/abs/1905.01634v1

    • [cs.CV]Leveraging Crowdsourced GPS Data for Road Extraction from Aerial Imagery
    Tao Sun, Zonglin Di, Pengyu Che, Chun Liu, Yin Wang
    http://arxiv.org/abs/1905.01447v1

    • [cs.CV]Localizing Adverts in Outdoor Scenes
    Soumyabrata Dev, Murhaf Hossari, Matthew Nicholson, Killian McCabe, Atul Nautiyal, Clare Conran, Jian Tang, Wei Xu, François Pitié
    http://arxiv.org/abs/1905.02106v1

    • [cs.CV]Nostalgin: Extracting 3D City Models from Historical Image Data
    Amol Kapoor, Hunter Larco, Raimondas Kiveris
    http://arxiv.org/abs/1905.01772v1

    • [cs.CV]On Exploring Undetermined Relationships for Visual Relationship Detection
    Yibing Zhan, Jun Yu, Ting Yu, Dacheng Tao
    http://arxiv.org/abs/1905.01595v1

    • [cs.CV]P-ODN: Prototype based Open Deep Network for Open Set Recognition
    Yu Shu, Yemin Shi, Yaowei Wang, Tiejun Huang, Yonghong Tian
    http://arxiv.org/abs/1905.01851v1

    • [cs.CV]PasteGAN: A Semi-Parametric Method to Generate Image from Scene Graph
    Yikang Li, Tao Ma, Yeqi Bai, Nan Duan, Sining Wei, Xiaogang Wang
    http://arxiv.org/abs/1905.01608v1

    • [cs.CV]Pixel-wise Regression: 3D Hand Pose Estimation via Spatial-form Representation and Differentiable Decoder
    Xingyuan Zhang, Fuhai Zhang
    http://arxiv.org/abs/1905.02085v1

    • [cs.CV]SEMEDA: Enhancing Segmentation Precision with Semantic Edge Aware Loss
    Yifu Chen, Arnaud Dapogny, Matthieu Cord
    http://arxiv.org/abs/1905.01892v1

    • [cs.CV]Simulating CRF with CNN for CNN
    Lena Gorelick, Olga Veksler
    http://arxiv.org/abs/1905.02163v1

    • [cs.CV]Single Image 3D Hand Reconstruction with Mesh Convolutions
    Dominik Kulon, Haoyang Wang, Riza Alp Güler, Michael Bronstein, Stefanos Zafeiriou
    http://arxiv.org/abs/1905.01326v1

    • [cs.CV]SoilingNet: Soiling Detection on Automotive Surround-View Cameras
    Michal Uricar, Pavel Krizek, Ganesh Sistu, Senthil Yogamani
    http://arxiv.org/abs/1905.01492v1

    • [cs.CV]Spatio-Temporal Action Localization in a Weakly Supervised Setting
    Kurt Degiorgio, Fabio Cuzzolin
    http://arxiv.org/abs/1905.02171v1

    • [cs.CV]The Missing Data Encoder: Cross-Channel Image Completion\with Hide-And-Seek Adversarial Network
    Arnaud Dapogny, Matthieu Cord, Patrick Perez
    http://arxiv.org/abs/1905.01861v1

    • [cs.CV]Towards Instance-level Image-to-Image Translation
    Zhiqiang Shen, Mingyang Huang, Jianping Shi, Xiangyang Xue, Thomas Huang
    http://arxiv.org/abs/1905.01744v1

    • [cs.CV]Towards More Realistic Human-Robot Conversation: A Seq2Seq-based Body Gesture Interaction System
    Minjie Hua, Fuyuan Shi, Yibing Nan, Kai Wang, Hao Chen, Shiguo Lian
    http://arxiv.org/abs/1905.01641v1

    • [cs.CV]Understanding urban landuse from the above and ground perspectives: a deep learning, multimodal solution
    Shivangi Srivastava, John E. Vargas-Muñoz, Devis Tuia
    http://arxiv.org/abs/1905.01752v1

    • [cs.CV]VSSA-NET: Vertical Spatial Sequence Attention Network for Traffic Sign Detection
    Yuan Yuan, Senior Member, IEEE, Zhitong Xiong, Student Member, IEEE, Qi Wang, Senior Member, IEEE
    http://arxiv.org/abs/1905.01583v1

    • [cs.CV]Visibility Constrained Generative Model for Depth-based 3D Facial Pose Tracking
    Lu Sheng, Jianfei Cai, Tat-Jen Cham, Vladimir Pavlovic, King Ngi Ngan
    http://arxiv.org/abs/1905.02114v1

    • [cs.CV]WoodScape: A multi-task, multi-camera fisheye dataset for autonomous driving
    Senthil Yogamani, Ciaran Hughes, Jonathan Horgan, Ganesh Sistu, Padraig Varley, Derek O’Dea, Michal Uricar, Stefan Milz, Martin Simon, Karl Amende, Christian Witt, Hazem Rashed, Sumanth Chennupati, Sanjaya Nayak, Saquib Mansoor, Xavier Perroton, Patrick Perez
    http://arxiv.org/abs/1905.01489v1

    • [cs.CY]Internet, Social Media and Conflict Studies Can Greater Interdisciplinarity Solve the Analytical Deadlocks in Cybersecurity Research?
    H. Akin Unver
    http://arxiv.org/abs/1905.01777v1

    • [cs.DB]Adaptive filter ordering in Spark
    Nikodimos Nikolaidis, Anastasios Gounaris
    http://arxiv.org/abs/1905.01349v1

    • [cs.DB]Big Data Model “Entity and Features”
    Nataliya Shakhovska, Uyrii Bolubash, Oleh Veres
    http://arxiv.org/abs/1905.01306v1

    • [cs.DB]Dataspace architecture and manage its components class projection
    Nataliya Shakhovska, Yurii Bolubash
    http://arxiv.org/abs/1905.01307v1

    • [cs.DB]Learning Functional Dependencies with Sparse Regression
    Zhihan Guo, Theodoros Rekatsinas
    http://arxiv.org/abs/1905.01425v1

    • [cs.DC]Adaptive Task Allocation for Asynchronous Federated Mobile Edge Learning
    Umair Mohammad, Sameh Sorour
    http://arxiv.org/abs/1905.01656v1

    • [cs.DC]Efficient Inter-Datacenter Bulk Transfers with Mixed Completion Time Objectives
    Mohammad Noormohammadpour, Srikanth Kandula, Cauligi S. Raghavendra, Sriram Rao
    http://arxiv.org/abs/1905.01749v1

    • [cs.DC]Job Edge-Fog Interconnection Network Creation Game in Internet of Things
    Rupei Xu, András Faragó, Jason P. Jue
    http://arxiv.org/abs/1905.01443v1

    • [cs.DC]Lynceus: Tuning and Provisioning Data Analytic Jobs on a Budget
    Maria Casimiro, Diego Didona, Paolo Romano, Luís Rodrigues, Willy Zwanepoel
    http://arxiv.org/abs/1905.02119v1

    • [cs.DC]Multi-threaded Output in CMS using ROOT
    Daniel Riley, Christopher Jones
    http://arxiv.org/abs/1905.02113v1

    • [cs.DC]Parsl: Pervasive Parallel Programming in Python
    Yadu Babuji, Anna Woodard, Zhuozhao Li, Daniel S. Katz, Ben Clifford, Rohan Kumar, Lukasz Lacinski, Ryan Chard, Justin M. Wozniak, Ian Foster, Michael Wilde, Kyle Chard
    http://arxiv.org/abs/1905.02158v1

    • [cs.DC]Real-Time Simulation in Real-Time Systems: Current Status, Research Challenges and A Way Forward
    Xi Zheng
    http://arxiv.org/abs/1905.01848v1

    • [cs.DC]Remove-Win: a Design Framework for Conflict-free Replicated Data Collections
    Yuqi Zhang, Yu Huang, Hengfeng Wei, Jian Lu
    http://arxiv.org/abs/1905.01403v1

    • [cs.DM]Quantitative Group Testing in the Sublinear Regime
    Oliver Gebhard, Max Hahn-Klimroth, Dominik Kaaser, Philipp Loick
    http://arxiv.org/abs/1905.01458v1

    • [cs.DS]Efficient Second-Order Shape-Constrained Function Fitting
    David Durfee, Yu Gao, Anup B. Rao, Sebastian Wild
    http://arxiv.org/abs/1905.02149v1

    • [cs.DS]Faster algorithms for polytope rounding, sampling, and volume computation via a sublinear “Ball Walk’’
    Oren Mangoubi, Nisheeth K. Vishnoi
    http://arxiv.org/abs/1905.01745v1

    • [cs.GR]A Similarity Measure for Material Appearance
    Manuel Lagunas, Sandra Malpica, Ana Serrano, Elena Garces, Diego Gutierrez, Belen Masia
    http://arxiv.org/abs/1905.01562v1

    • [cs.GR]Unsupervised Detection of Distinctive Regions on 3D Shapes
    Xianzhi Li, Lequan Yu, Chi-Wing Fu, Daniel Cohen-Or, Pheng-Ann Heng
    http://arxiv.org/abs/1905.01684v1

    • [cs.GT]Computing a Data Dividend
    Eric Bax
    http://arxiv.org/abs/1905.01805v1

    • [cs.HC]Intrinsically Motivated Autonomy in Human-Robot Interaction: Human Perception of Predictive Information in Robots
    Marcus M. Scheunemann, Christoph Salge, Kerstin Dautenhahn
    http://arxiv.org/abs/1905.01734v1

    • [cs.HC]Public vs Media Opinion on Robots
    Alireza Javaheri, Navid Moghadamnejad, Hamidreza Keshavarz, Ehsan Javaheri, Chelsea Dobbins, Elaheh Momeni, Reza Rawassizadeh
    http://arxiv.org/abs/1905.01615v1

    • [cs.HC]Understanding Perceptions of Problematic Facebook Use: When People Experience Negative Life Impact and a Lack of Control
    Justin Cheng, Moira Burke, Elena Goetz Davis
    http://arxiv.org/abs/1905.01911v1

    • [cs.IR]Investigating the Successes and Failures of BERT for Passage Re-Ranking
    Harshith Padigela, Hamed Zamani, W. Bruce Croft
    http://arxiv.org/abs/1905.01758v1

    • [cs.IR]Latent Unexpected and Useful Recommendation
    Pan Li, Alexander Tuzhilin
    http://arxiv.org/abs/1905.01546v1

    • [cs.IR]On the Difficulty of Evaluating Baselines: A Study on Recommender Systems
    Steffen Rendle, Li Zhang, Yehuda Koren
    http://arxiv.org/abs/1905.01395v1

    • [cs.IR]POG: Personalized Outfit Generation for Fashion Recommendation at Alibaba iFashion
    Wen Chen, Pipei Huang, Jiaming Xu, Xin Guo, Cheng Guo, Fei Sun, Chao Li, Andreas Pfadler, Huan Zhao, Binqiang Zhao
    http://arxiv.org/abs/1905.01866v1

    • [cs.IR]Personalized Query Auto-Completion Through a Lightweight Representation of the User Context
    Manojkumar Rangasamy Kannadasan, Grigor Aslanyan
    http://arxiv.org/abs/1905.01386v1

    • [cs.IR]Visually-aware Recommendation with Aesthetic Features
    Wenhui Yu, Xiangnan He, Jian Pei, Xu Chen, Li Xiong, Jinfei Liu, Zheng Qin
    http://arxiv.org/abs/1905.02009v1

    • [cs.IT]A Throughput and Energy Efficiency Scheme for Unlicensed Massive Machine Type Communications
    Iran Ramezanipour, Hirley Alves, Pedro J. H. Nardelli, Ari Pouttu
    http://arxiv.org/abs/1905.01516v1

    • [cs.IT]Age of Information Scaling in Large Networks with Hierarchical Cooperation
    Baturalp Buyukates, Alkan Soysal, Sennur Ulukus
    http://arxiv.org/abs/1905.02178v1

    • [cs.IT]Online Trajectory Optimization for Rotary-Wing UAVs in Wireless Networks
    Matthew Bliss, Nicolò Michelusi
    http://arxiv.org/abs/1905.01755v1

    • [cs.IT]Optimal Resource Allocation for Cellular Networks with Virtual Cell Joint Decoding
    Michal Yemini, Andrea J. Goldsmith
    http://arxiv.org/abs/1905.02184v1

    • [cs.IT]Optimization-based Decentralized Coded Caching for Files and Caches with Arbitrary Size
    Qi Wang, Ying Cui, Sian Jin, Junni Zou, Chenglin Li, Hongkai Xiong
    http://arxiv.org/abs/1905.01633v1

    • [cs.IT]Passive Beamforming and Information Transfer via Large Intelligent Surface
    Wenjing Yan, Xiaoyan Kuai, Xiaojun Yuan, Senior Member, IEEE
    http://arxiv.org/abs/1905.01491v1

    • [cs.IT]Stochastic Design and Analysis of Wireless Cloud Caching Networks
    Seyed Mohammad Azimi-Abarghouyi, Masoumeh Nasiri-Kenari, Merouane Debbah
    http://arxiv.org/abs/1905.01708v1

    • [cs.IT]Two constructions of asymptotically optimal codebooks via the trace functions
    Xia Wu, Wei Lu, Xiwang Cao, Ming Chen
    http://arxiv.org/abs/1905.01815v1

    • [cs.LG]A Bayesian Variational Framework for Stochastic Optimization
    Philippe Casgrain
    http://arxiv.org/abs/1905.01707v1

    • [cs.LG]A Survey on Neural Architecture Search
    Martin Wistuba, Ambrish Rawat, Tejaswini Pedapati
    http://arxiv.org/abs/1905.01392v1

    • [cs.LG]An embarrassingly simple approach to neural multiple instance classification
    Amina Asif, Fayyaz ul Amir Afsar Minhas
    http://arxiv.org/abs/1905.01947v1

    • [cs.LG]Auditing ImageNet: Towards a Model-driven Framework for Annotating Demographic Attributes of Large-Scale Image Datasets
    Chris Dulhanty, Alexander Wong
    http://arxiv.org/abs/1905.01347v1

    • [cs.LG]Batch Normalization is a Cause of Adversarial Vulnerability
    Angus Galloway, Anna Golubeva, Thomas Tanay, Medhat Moussa, Graham W. Taylor
    http://arxiv.org/abs/1905.02161v1

    • [cs.LG]Better the Devil you Know: An Analysis of Evasion Attacks using Out-of-Distribution Adversarial Examples
    Vikash Sehwag, Arjun Nitin Bhagoji, Liwei Song, Chawin Sitawarin, Daniel Cullina, Mung Chiang, Prateek Mittal
    http://arxiv.org/abs/1905.01726v1

    • [cs.LG]Characterizing the invariances of learning algorithms using category theory
    Kenneth D. Harris
    http://arxiv.org/abs/1905.02072v1

    • [cs.LG]Clustering-aware Graph Construction: A Joint Learning Perspective
    Yuheng Jia, Hui Liu, Junhui Hou, Sam Kwong
    http://arxiv.org/abs/1905.01446v1

    • [cs.LG]Curious Meta-Controller: Adaptive Alternation between Model-Based and Model-Free Control in Deep Reinforcement Learning
    Muhammad Burhan Hafez, Cornelius Weber, Matthias Kerzel, Stefan Wermter
    http://arxiv.org/abs/1905.01718v1

    • [cs.LG]Deep Discriminative Clustering Analysis
    Jianlong Chang, Yiwen Guo, Lingfeng Wang, Gaofeng Meng, Shiming Xiang, Chunhong Pan
    http://arxiv.org/abs/1905.01681v1

    • [cs.LG]Deep Ordinal Reinforcement Learning
    Alexander Zap, Tobias Joppen, Johannes Fürnkranz
    http://arxiv.org/abs/1905.02005v1

    • [cs.LG]Development of a Forecasting and Warning System on the Ecological Life-Cycle of Sunn Pest
    İsmail Balaban, Fatih Acun, Onur Yiğit Arpalı, Furkan Murat, Numan Ertuğrul Babaroğlu, Emre Akci, Mehmet Çulcu, Mümtaz Özkan, Selim Temizer
    http://arxiv.org/abs/1905.01640v1

    • [cs.LG]Differentiable Architecture Search with Ensemble Gumbel-Softmax
    Jianlong Chang, Xinbang Zhang, Yiwen Guo, Gaofeng Meng, Shiming Xiang, Chunhong Pan
    http://arxiv.org/abs/1905.01786v1

    • [cs.LG]Edge-labeling Graph Neural Network for Few-shot Learning
    Jongmin Kim, Taesup Kim, Sungwoong Kim, Chang D. Yoo
    http://arxiv.org/abs/1905.01436v1

    • [cs.LG]Fast communication-efficient spectral clustering over distributed data
    Donghui Yan, Yingjie Wang, Jin Wang, Guodong Wu, Honggang Wang
    http://arxiv.org/abs/1905.01596v1

    • [cs.LG]Free Component Analysis: Theory, Algorithms & Applications
    Hao Wu, Raj Rao Nadakuditi
    http://arxiv.org/abs/1905.01713v1

    • [cs.LG]Hierarchical Policy Learning is Sensitive to Goal Space Design
    Zach Dwiel, Madhavun Candadai, Mariano J. Phielipp, Arjun K. Bansal
    http://arxiv.org/abs/1905.01537v1

    • [cs.LG]Interpretable Automated Machine Learning in Maana(TM) Knowledge Platform
    Alexander Elkholy, Fangkai Yang, Steven Gustafson
    http://arxiv.org/abs/1905.02168v1

    • [cs.LG]Learning Graph Neural Networks with Noisy Labels
    Hoang NT, Choong Jun Jin, Tsuyoshi Murata
    http://arxiv.org/abs/1905.01591v1

    • [cs.LG]Learning to Control in Metric Space with Optimal Regret
    Lin F. Yang, Chengzhuo Ni, Mengdi Wang
    http://arxiv.org/abs/1905.01576v1

    • [cs.LG]Maximal Margin Distribution Support Vector Regression with coupled Constraints-based Convex Optimization
    Gaoyang Li, Jinyu Yang, Chunguo Wu, Qin Ma
    http://arxiv.org/abs/1905.01620v1

    • [cs.LG]Meta-learners’ learning dynamics are unlike learners’
    Neil C. Rabinowitz
    http://arxiv.org/abs/1905.01320v1

    • [cs.LG]Missing Data Imputation with Adversarially-trained Graph Convolutional Networks
    Indro Spinelli, Simone Scardapane, Aurelio Uncini
    http://arxiv.org/abs/1905.01907v1

    • [cs.LG]Multivariate Time Series Classification using Dilated Convolutional Neural Network
    Omolbanin Yazdanbakhsh, Scott Dick
    http://arxiv.org/abs/1905.01697v1

    • [cs.LG]NAMSG: An Efficient Method For Training Neural Networks
    Yushu Chen, Hao Jing, Wenlai Zhao, Zhiqiang Liu, Liang Qiao, Wei Xue, Haohuan Fu, Guangwen Yang
    http://arxiv.org/abs/1905.01422v1

    • [cs.LG]New Item Consumption Prediction Using Deep Learning
    Michael Shekasta, Gilad Katz, Asnat Greenstein-Messica, Lior Rokach, Bracha Shapira
    http://arxiv.org/abs/1905.01686v1

    • [cs.LG]Optimal Resampling for Learning Small Models
    Abhishek Ghose, Balaraman Ravindran
    http://arxiv.org/abs/1905.01520v1

    • [cs.LG]P3O: Policy-on Policy-off Policy Optimization
    Rasool Fakoor, Pratik Chaudhari, Alexander J. Smola
    http://arxiv.org/abs/1905.01756v1

    • [cs.LG]Predicting Economic Development using Geolocated Wikipedia Articles
    Evan Sheehan, Chenlin Meng, Matthew Tan, Burak Uzkent, Neal Jean, David Lobell, Marshall Burke, Stefano Ermon
    http://arxiv.org/abs/1905.01627v1

    • [cs.LG]SinReQ: Generalized Sinusoidal Regularization for Automatic Low-Bitwidth Deep Quantized Training
    Ahmed T. Elthakeb, Prannoy Pilligundla, Hadi Esmaeilzadeh
    http://arxiv.org/abs/1905.01416v1

    • [cs.LG]Static Activation Function Normalization
    Pierre H. Richemond, Yike Guo
    http://arxiv.org/abs/1905.01369v1

    • [cs.LG]Temporal Graph Convolutional Networks for Automatic Seizure Detection
    Ian Covert, Balu Krishnan, Imad Najm, Jiening Zhan, Matthew Shore, John Hixson, Ming Jack Po
    http://arxiv.org/abs/1905.01375v1

    • [cs.LG]The Game of Tetris in Machine Learning
    Simón Algorta, Özgür Şimşek
    http://arxiv.org/abs/1905.01652v1

    • [cs.LG]Unsupervised Domain Adaptation using Graph Transduction Games
    Sebastiano Vascon, Sinem Aslan, Alessandro Torcinovich, Twan van Laarhoven, Elena Marchiori, Marcello Pelillo
    http://arxiv.org/abs/1905.02036v1

    • [cs.LG]Zero-Shot Audio Classification Based on Class Label Embeddings
    Huang Xie, Tuomas Virtanen
    http://arxiv.org/abs/1905.01926v1

    • [cs.NI]Towards Big data processing in IoT: network management for online edge data processing
    Shuo Wan, Jiaxun Lu, Pingyi Fan, Khaled B. Letaief
    http://arxiv.org/abs/1905.01663v1

    • [cs.PF]Evolutionary Optimisation of Real-Time Systems and Networks
    Leandro Soares Indrusiak, Piotr Dziurzanski
    http://arxiv.org/abs/1905.01888v1

    • [cs.RO]Data-efficient Learning of Morphology and Controller for a Microrobot
    Thomas Liao, Grant Wang, Brian Yang, Rene Lee, Kristofer Pister, Sergey Levine, Roberto Calandra
    http://arxiv.org/abs/1905.01334v1

    • [cs.RO]IVO: Inverse Velocity Obstacles for Real Time Navigation
    P. S. Naga Jyotish, Yash Goel, A. V. S. Sai Bhargav Kumar, K. Madhava Krishna
    http://arxiv.org/abs/1905.01438v1

    • [cs.RO]Path Planning for Autonomous Bus Driving in Urban Environments
    Rui Oliveira, Pedro F. Lima, Gonçalo Collares Pereira, Jonas Mårtensson, Bo Wahlberg
    http://arxiv.org/abs/1905.01683v1

    • [cs.RO]ReFusion: 3D Reconstruction in Dynamic Environments for RGB-D Cameras Exploiting Residuals
    Emanuele Palazzolo, Jens Behley, Philipp Lottes, Philippe Giguère, Cyrill Stachniss
    http://arxiv.org/abs/1905.02082v1

    • [cs.RO]Stability Control of Walking Biped Robots based on Total Momentum
    Mostafa Ghobadi
    http://arxiv.org/abs/1905.01590v1

    • [cs.RO]Stabilization of Bipedal Robot Motion based on Total Momentum
    Erfan Ghorbani, Venus Pasandi, Mehdi Keshmiri, Mostafa Ghobadi
    http://arxiv.org/abs/1905.01593v1

    • [cs.SD]Deep Tensor Factorization for Spatially-Aware Scene Decomposition
    Jonah Casebeer, Michael Colomb, Paris Smaragdis
    http://arxiv.org/abs/1905.01391v1

    • [cs.SD]Learning with Learned Loss Function: Speech Enhancement with Quality-Net to Improve Perceptual Evaluation of Speech Quality
    Szu-Wei Fu, Chien-Feng Liao, Yu Tsao
    http://arxiv.org/abs/1905.01898v1

    • [cs.SI]An End-to-End Framework to Identify Pathogenic Social Media Accounts on Twitter
    Elham Shaabani, Ashkan Sadeghi-Mobarakeh, Hamidreza Alvari, Paulo Shakarian
    http://arxiv.org/abs/1905.01553v1

    • [cs.SI]Characterizing Attention Cascades in WhatsApp Groups
    Josemar Alves Caetano, Gabriel Magno, Marcos Gonçalves, Jussara Almeida, Humberto T. Marques-Neto, Virgílio Almeida
    http://arxiv.org/abs/1905.00825v2

    • [cs.SI]Detecting Pathogenic Social Media Accounts without Content or Network Structure
    Elham Shaabani, Ruocheng Guo, Paulo Shakarian
    http://arxiv.org/abs/1905.01556v1

    • [cs.SI]DynComm R Package — Dynamic Community Detection for Evolving Networks
    Rui Portocarrero Sarmento, Luís Lemos, Mário Cordeiro, Giulio Rossetti, Douglas Cardoso
    http://arxiv.org/abs/1905.01498v1

    • [cs.SI]Is a Single Embedding Enough? Learning Node Representations that Capture Multiple Social Contexts
    Alessandro Epasto, Bryan Perozzi
    http://arxiv.org/abs/1905.02138v1

    • [cs.SI]Representation Learning for Attributed Multiplex Heterogeneous Network
    Yukuo Cen, Xu Zou, Jianwei Zhang, Hongxia Yang, Jingren Zhou, Jie Tang
    http://arxiv.org/abs/1905.01669v1

    • [cs.SI]Same Influenza, Different Responses: Social Media Can Sense a Regional Spectrum of Symptoms
    Siqing Shan, Yingwei Jia, Jichang Zhao
    http://arxiv.org/abs/1905.01778v1

    • [cs.SY]On the Controllability of Clustered Scale-Free Networks
    Mohammadreza Doostmohammadian, Usman A. Khan
    http://arxiv.org/abs/1905.01630v1

    • [econ.EM]Non-standard inference for augmented double autoregressive models with null volatility coefficients
    Feiyu Jiang, Dong Li, Ke Zhu
    http://arxiv.org/abs/1905.01798v1

    • [econ.GN]Impact of Artificial Intelligence on Businesses: from Research, Innovation, Market Deployment to Future Shifts in Business Models
    Neha Soni, Enakshi Khular Sharma, Narotam Singh, Amita Kapoor
    http://arxiv.org/abs/1905.02092v1

    • [eess.IV]Breast Tumor Cellularity Assessment using Deep Neural Networks
    Alexander Rakhlin, Alexey A. Shvets, Alexandr A. Kalinin, Aleksei Tiulpin, Vladimir I. Iglovikov, Sergey Nikolenko
    http://arxiv.org/abs/1905.01743v1

    • [eess.SP]A Pattern Recognition Method for Partial Discharge Detection on Insulated Overhead Conductors
    Ming Dong, Zexi Sun, Carl Wang
    http://arxiv.org/abs/1905.01588v1

    • [eess.SP]PhaseDNN - A Parallel Phase Shift Deep Neural Network for Adaptive Wideband Learning
    Wei Cai, Xiaoguang Li, Lizuo Liu
    http://arxiv.org/abs/1905.01389v1

    • [math.CO]On optimal weak algebraic manipulation detection codes and weighted external difference families
    Minfeng Shao, Ying Miao
    http://arxiv.org/abs/1905.01412v1

    • [math.NA]Computation of Circular Area and Spherical Volume Invariants via Boundary Integrals
    Riley O’Neill, Pedro Angulo-Umana, Jeff Calder, Bo Hessburg, Peter J. Olver, Chehrzad Shakiban, Katrina Yezzi-Woodley
    http://arxiv.org/abs/1905.02176v1

    • [math.NA]Propagation of Uncertainties in Density-Driven Flow
    Alexander Litvinenko, Dmitry Logashenko, Raul Tempone, Gabriel Wittum, David Keyes
    http://arxiv.org/abs/1905.01770v1

    • [math.ST]De-biased graphical Lasso for high-frequency data
    Yuta Koike
    http://arxiv.org/abs/1905.01494v1

    • [math.ST]Estimating Piecewise Monotone Signals
    Kentaro Minami
    http://arxiv.org/abs/1905.01840v1

    • [math.ST]Exact Largest Eigenvalue Distribution for Doubly Singular Beta Ensemble
    Stepan Grinek
    http://arxiv.org/abs/1905.01774v1

    • [math.ST]Improved Classification Rates for Localized SVMs
    Ingrid Blaschzyk, Ingo Steinwart
    http://arxiv.org/abs/1905.01502v1

    • [math.ST]Projection Theorems, Estimating Equations, and Power-Law Distributions
    Atin Gayen, M. Ashok Kumar
    http://arxiv.org/abs/1905.01434v1

    • [math.ST]Test for homogeneity with unordered paired observations
    Jiahua Chen, Pengfei Li, Jing Qin, Tao Yu
    http://arxiv.org/abs/1905.01402v1

    • [nlin.AO]Model reconstruction from temporal data for coupled oscillator networks
    Mark J Panaggio, Maria-Veronica Ciocanel, Lauren Lazarus, Chad M Topaz, Bin Xu
    http://arxiv.org/abs/1905.01408v1

    • [physics.data-an]Estimating the Mutual Information between two Discrete, Asymmetric Variables with Limited Samples
    Damián G. Hernández, Inés Samengo
    http://arxiv.org/abs/1905.02034v1

    • [physics.soc-ph]Universality of population recovery patterns after disasters
    Takahiro Yabe, Kota Tsubouchi, Naoya Fujiwara, Yoshihide Sekimoto, Satish V. Ukkusuri
    http://arxiv.org/abs/1905.01804v1

    • [q-bio.PE]Maximum likelihood (ML) estimators for scaled mutation parameters with a strand symmetric mutation model in equilibrium
    Claus Vogl, Lynette Caitlin Mikula
    http://arxiv.org/abs/1905.02015v1

    • [q-bio.QM]Machine Learning to Predict Developmental Neurotoxicity with High-throughput Data from 2D Bio-engineered Tissues
    Finn Kuusisto, Vitor Santos Costa, Zhonggang Hou, James Thomson, David Page, Ron Stewart
    http://arxiv.org/abs/1905.02121v1

    • [quant-ph]Matrix Product State Based Quantum Classifier
    Amandeep Singh Bhatia, Mandeep Kaur Saggi, Ajay Kumar, Sushma Jain
    http://arxiv.org/abs/1905.01426v1

    • [stat.AP]Estimating the effect of PEG in ALS patients using observational data subject to censoring by death and missing outcomes
    Pallavi Mishra-Kalyani, Brent A. Johnson, Jonathan D. Glass, Qi Long
    http://arxiv.org/abs/1905.02062v1

    • [stat.AP]Estimation of high-dimensional factor models and its application in power data analysis
    Xin Shi, Robert Qiu, Tiebin Mi
    http://arxiv.org/abs/1905.02061v1

    • [stat.AP]Informed Bayesian Inference for the A/B Test
    Quentin F. Gronau, Akash Raj K. N., Eric-Jan Wagenmakers
    http://arxiv.org/abs/1905.02068v1

    • [stat.AP]Robust multiple comparisons against a control group with application in toxicology
    Ludwig A. Hothorn, Felix M. Kluxen
    http://arxiv.org/abs/1905.01838v1

    • [stat.ME]Efficient selection of predictive biomarkers for individual treatment selection
    Shonosuke Sugasawa, Hisashi Noma
    http://arxiv.org/abs/1905.01582v1

    • [stat.ME]Multivariate Signal Modelling with Applications to Inertial Sensor Calibration
    Haotian Xu, Stéphane Guerrier, Roberto Molinari ‘and’ Mucyo Karemera
    http://arxiv.org/abs/1905.01480v1

    • [stat.ME]Propensity Process: a Balancing Functional
    Pallavi S. Mishra-Kalyani, Brent A. Johnson, Qi Long
    http://arxiv.org/abs/1905.02065v1

    • [stat.ME]Regularized estimation for highly multivariate log Gaussian Cox processes
    Achmad Choiruddin, Francisco Cuevas-Pacheco, Jean-François Coeurjolly, Rasmus Waagepetersen
    http://arxiv.org/abs/1905.01455v1

    • [stat.ME]Spectral density estimation using P-spline priors
    Patricio Maturana-Russel, Renate Meyer
    http://arxiv.org/abs/1905.01832v1

    • [stat.ML]ARSM: Augment-REINFORCE-Swap-Merge Estimator for Gradient Backpropagation Through Categorical Variables
    Mingzhang Yin, Yuguang Yue, Mingyuan Zhou
    http://arxiv.org/abs/1905.01413v1

    • [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/1905.02175v1

    • [stat.ML]Improving and Understanding Variational Continual Learning
    Siddharth Swaroop, Cuong V. Nguyen, Thang D. Bui, Richard E. Turner
    http://arxiv.org/abs/1905.02099v1

    • [stat.ML]Statistically Discriminative Sub-trajectory Mining
    Vo Nguyen Le Duy, Takuto Sakuma, Taiju Ishiyama, Hiroki Toda, Kazuya Nishi, Masayuki Karasuyama, Yuta Okubo, Masayuki Sunaga, Yasuo Tabei, Ichiro Takeuchi
    http://arxiv.org/abs/1905.01788v1

    • [stat.ML]Tight Regret Bounds for Infinite-armed Linear Contextual Bandits
    Yingkai Li, Yining Wang, Yuan Zhou
    http://arxiv.org/abs/1905.01435v1

    • [stat.ML]Vertex Nomination, Consistent Estimation, and Adversarial Modification
    Joshua Agterberg, Youngser Park, Jonathan Larson, Christopher White, Carey E. Priebe, Vince Lyzinski
    http://arxiv.org/abs/1905.01776v1