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