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.DC - 分布式、并行与集群计算 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.RO - 机器人学 cs.SD - 声音处理 cs.SI - 社交网络与信息网络 cs.SY - 系统与控制 econ.EM - 计量经济学 eess.IV - 图像与视频处理 eess.SP - 信号处理 math.FA - 泛函演算 math.PR - 概率 math.ST - 统计理论 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习
• [cs.CL]A Topic-Agnostic Approach for Identifying Fake News Pages
• [cs.CL]Context awareness and embedding for biomedical event extraction
• [cs.CR]Browser Fingerprinting: A survey
• [cs.CR]Characterising Third Party Cookie Usage in the EU after GDPR
• [cs.CR]Enterprise Cyber Resiliency Against Lateral Movement: A Graph Theoretic Approach
• [cs.CR]Mimic Learning to Generate a Shareable Network Intrusion Detection Model
• [cs.CV]Anti-Confusing: Region-Aware Network for Human Pose Estimation
• [cs.CV]Blind Deconvolution Method using Omnidirectional Gabor Filter-based Edge Information
• [cs.CV]Computational analysis of laminar structure of the human cortex based on local neuron features
• [cs.CV]Distance Metric Learned Collaborative Representation Classifier
• [cs.CV]Enhanced free space detection in multiple lanes based on single CNN with scene identification
• [cs.CV]Generating Classification Weights with GNN Denoising Autoencoders for Few-Shot Learning
• [cs.CV]Group Emotion Recognition Using Machine Learning
• [cs.CV]Improving Visual Relation Detection using Depth Maps
• [cs.CV]Known-class Aware Self-ensemble for Open Set Domain Adaptation
• [cs.CV]Learning Cross-Modal Embeddings with Adversarial Networks for Cooking Recipes and Food Images
• [cs.CV]Leveraging Large-Scale Uncurated Data for Unsupervised Pre-training of Visual Features
• [cs.CV]Lifting 2d Human Pose to 3d : A Weakly Supervised Approach
• [cs.CV]Offline Writer Identification based on the Path Signature Feature
• [cs.CV]Omni-Scale Feature Learning for Person Re-Identification
• [cs.CV]PFA-ScanNet: Pyramidal Feature Aggregation with Synergistic Learning for Breast Cancer Metastasis Analysis
• [cs.CV]PRECOG: PREdiction Conditioned On Goals in Visual Multi-Agent Settings
• [cs.CV]Query-guided End-to-End Person Search
• [cs.CV]Real-time and robust multiple-view gender classification using gait features in video surveillance
• [cs.CV]Remote measurement of sea ice dynamics with regularized optimal transport
• [cs.CV]SCOPS: Self-Supervised Co-Part Segmentation
• [cs.CV]Scaling and Benchmarking Self-Supervised Visual Representation Learning
• [cs.CV]Seamless Scene Segmentation
• [cs.CV]Semantic Segmentation of Video Sequences with Convolutional LSTMs
• [cs.CV]Temporal Deformable Convolutional Encoder-Decoder Networks for Video Captioning
• [cs.CV]Visualizing Deep Networks by Optimizing with Integrated Gradients
• [cs.CY]What will you do next? A sequence analysis on the student transitions between online platforms in blended courses
• [cs.DC]An Efficient Approach to Achieve Compositionality using Optimized Multi-Version Object Based Transactional Systems
• [cs.DC]Leveraging Deep Learning to Improve the Performance Predictability of Cloud Microservices
• [cs.DC]Performance Optimization on Model Synchronization in Parallel Stochastic Gradient Descent Based SVM
• [cs.DC]Real Differences between OT and CRDT in Correctness and Complexity for Consistency Maintenance in Co-Editors
• [cs.DC]When parallel speedups hit the memory wall
• [cs.IR]A Personalized Subreddit Recommendation Engine
• [cs.IR]A Relation Extraction Approach for Clinical Decision Support
• [cs.IR]Time-sync Video Tag Extraction Using Semantic Association Graph
• [cs.IT]3GPP-inspired Stochastic Geometry-based Mobility Model for a Drone Cellular Network
• [cs.IT]Capacity Limits of Full-Duplex Cellular Network
• [cs.IT]Carrier Aggregation in Multi-Beam High Throughput Satellite Systems
• [cs.IT]Intelligent Reflecting Surfaces for Free Space Optical Communications
• [cs.IT]Inter-Cell Antenna Calibration for Coherent Joint Transmission in TDD System
• [cs.IT]New Perfect Nonlinear Functions and Their Semifields
• [cs.IT]Non-Orthogonal Contention-Based Access for URLLC Devices with Frequency Diversity
• [cs.IT]On the Separability of Parallel MISO Broadcast Channels Under Partial CSIT: A Degrees of Freedom Region Perspective
• [cs.IT]Precoded Cluster Hopping in Multi-Beam High Throughput Satellite Systems
• [cs.LG]A Fuzzy Inference System for the Identification
• [cs.LG]CharBot: A Simple and Effective Method for Evading DGA Classifiers
• [cs.LG]Collaborative Evolutionary Reinforcement Learning
• [cs.LG]Compressibility Loss for Neural Network Weights
• [cs.LG]Conditional WGANs with Adaptive Gradient Balancing for Sparse MRI Reconstruction
• [cs.LG]Continuous Learning for Large-scale Personalized Domain Classification
• [cs.LG]Convolution is outer product
• [cs.LG]Deconstructing Lottery Tickets: Zeros, Signs, and the Supermask
• [cs.LG]Deep Residual Reinforcement Learning
• [cs.LG]Disentangling Factors of Variation Using Few Labels
• [cs.LG]Information asymmetry in KL-regularized RL
• [cs.LG]Learning Programmatically Structured Representations with Perceptor Gradients
• [cs.LG]Learning Some Popular Gaussian Graphical Models without Condition Number Bounds
• [cs.LG]Learning in Modal Space: Solving Time-Dependent Stochastic PDEs Using Physics-Informed Neural Networks
• [cs.LG]Locale-agnostic Universal Domain Classification Model in Spoken Language Understanding
• [cs.LG]Locally Differentially Private Naive Bayes Classification
• [cs.LG]Matlab vs. OpenCV: A Comparative Study of Different Machine Learning Algorithms
• [cs.LG]Network Representation Learning: Consolidation and Renewed Bearing
• [cs.LG]Predicting Urban Dispersal Events: A Two-Stage Framework through Deep Survival Analysis on Mobility Data
• [cs.LG]Stability and Generalization of Graph Convolutional Neural Networks
• [cs.LG]Submodular Streaming in All its Glory: Tight Approximation, Minimum Memory and Low Adaptive Complexity
• [cs.LG]Transfer of Adversarial Robustness Between Perturbation Types
• [cs.LG]Uncertainty-Aware Principal Component Analysis
• [cs.RO]Asymmetric Dual-Arm Task Execution using an Extended Relative Jacobian
• [cs.RO]Behavior Planning of Autonomous Cars with Social Perception
• [cs.RO]HRC-SoS: Human Robot Collaboration Experimentation Platform as System of Systems
• [cs.RO]Joint Vision-Based Navigation, Control and Obstacle Avoidance for UAVs in Dynamic Environments
• [cs.RO]MobiKa - Low-Cost Mobile Robot for Human-Robot Interaction
• [cs.SD]A Statistically Principled and Computationally Efficient Approach to Speech Enhancement using Variational Autoencoders
• [cs.SI]Network interpolation
• [cs.SY]A Lyapunov-Based Approach to Exploit Asymmetries in Robotic Dual-Arm Task Resolution
• [cs.SY]Robust Cooperative Formation Control of Fixed-Wing Unmanned Aerial Vehicles
• [econ.EM]A Uniform Bound of the Operator Norm of Random Element Matrices and Operator Norm Minimizing Estimation
• [eess.IV]A Splitting-Based Iterative Algorithm for GPU-Accelerated Statistical Dual-Energy X-Ray CT Reconstruction
• [eess.IV]Deep Learning in Alzheimer’s Disease: Diagnostic Classification using Neuroimaging Data
• [eess.IV]Joint High Dynamic Range Imaging and Super-Resolution from a Single Image
• [eess.IV]Learned Quality Enhancement via Multi-Frame Priors for HEVC Compliant Low-Delay Applications
• [eess.SP]Generative Adversarial Network for Wireless Signal Spoofing
• [eess.SP]Indoor Localization for IoT Using Adaptive Feature Selection: A Cascaded Machine Learning Approach
• [math.FA]Approximation spaces of deep neural networks
• [math.PR]On the excursion area of perturbed Gaussian fields
• [math.ST]Functional central limit theorems for conditional Poisson sampling
• [math.ST]High dimensional VAR with low rank transition
• [stat.AP]Bayesian analysis of Turkish Income and Living Conditions data, using clustered longitudinal ordinal modelling with Bridge distributed random-effects
• [stat.AP]Characterizing functional relationships between technophony and biophony: A western New York soundscape case study
• [stat.AP]How are emergent constraints quantifying uncertainty and what do they leave behind?
• [stat.ME]Causality without potential outcomes and the dynamic approach
• [stat.ME]Online Control of the False Coverage Rate and False Sign Rate
• [stat.ME]Robust Model Selection for Finite Mixture of Regression Models Through Trimming
• [stat.ME]Selection of the Number of Clusters in Functional Data Analysis
• [stat.ME]Simulation study of estimating between-study variance and overall effect in meta-analyses of log-response-ratio for lognormal data
• [stat.ML]Parallel Gaussian process surrogate method to accelerate likelihood-free inference
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• [cs.CL]A Topic-Agnostic Approach for Identifying Fake News Pages
Sonia Castelo, Thais Almeida, Anas Elghafari, Aécio Santos, Kien Pham, Eduardo Nakamura, Juliana Freire
http://arxiv.org/abs/1905.00957v1
• [cs.CL]Context awareness and embedding for biomedical event extraction
Shankai Yan, Ka-Chun Wong
http://arxiv.org/abs/1905.00982v1
• [cs.CR]Browser Fingerprinting: A survey
Pierre Laperdrix, Nataliia Bielova, Benoit Baudry, Gildas Avoine
http://arxiv.org/abs/1905.01051v1
• [cs.CR]Characterising Third Party Cookie Usage in the EU after GDPR
Xuehui Hu, Nishanth Sastry
http://arxiv.org/abs/1905.01267v1
• [cs.CR]Enterprise Cyber Resiliency Against Lateral Movement: A Graph Theoretic Approach
Pin-Yu Chen, Sutanay Choudhury, Luke Rodriguez, Alfred Hero, Indrajit Ray
http://arxiv.org/abs/1905.01002v1
• [cs.CR]Mimic Learning to Generate a Shareable Network Intrusion Detection Model
Ahmed Shafee, Mohamed Baza, Douglas A. Talbert, Mostafa M. Fouda, Mahmoud Nabil, Mohamed Mahmoud
http://arxiv.org/abs/1905.00919v1
• [cs.CV]Anti-Confusing: Region-Aware Network for Human Pose Estimation
Xuan Cao, Yanhao Ge, Ying Tai, Wei Zhang, Jian Li, Chengjie Wang, Jilin Li, Feiyue Huang
http://arxiv.org/abs/1905.00996v1
• [cs.CV]Blind Deconvolution Method using Omnidirectional Gabor Filter-based Edge Information
Trung Dung Do, Xuenan Cui, Thi Hai Binh Nguyen, Hakil Kim, Van Huan Nguyen
http://arxiv.org/abs/1905.01003v1
• [cs.CV]Computational analysis of laminar structure of the human cortex based on local neuron features
Andrija Štajduhar, Tomislav Lipić, Goran Sedmak, Sven Lončarić, Miloš Judaš
http://arxiv.org/abs/1905.01173v1
• [cs.CV]Distance Metric Learned Collaborative Representation Classifier
Tapabrata Chakraborti, Brendan McCane, Steven Mills, Umapada Pal
http://arxiv.org/abs/1905.01168v1
• [cs.CV]Enhanced free space detection in multiple lanes based on single CNN with scene identification
Fabio Pizzati, Fernando García
http://arxiv.org/abs/1905.00941v1
• [cs.CV]Generating Classification Weights with GNN Denoising Autoencoders for Few-Shot Learning
Spyros Gidaris, Nikos Komodakis
http://arxiv.org/abs/1905.01102v1
• [cs.CV]Group Emotion Recognition Using Machine Learning
Samanyou Garg
http://arxiv.org/abs/1905.01118v1
• [cs.CV]Improving Visual Relation Detection using Depth Maps
Sahand Sharifzadeh, Max Berrendorf, Volker Tresp
http://arxiv.org/abs/1905.00966v1
• [cs.CV]Known-class Aware Self-ensemble for Open Set Domain Adaptation
Qing Lian, Wen Li, Lin Chen, Lixin Duan
http://arxiv.org/abs/1905.01068v1
• [cs.CV]Learning Cross-Modal Embeddings with Adversarial Networks for Cooking Recipes and Food Images
Hao Wang, Doyen Sahoo, Chenghao Liu, Ee-peng Lim, Steven C. H. Hoi
http://arxiv.org/abs/1905.01273v1
• [cs.CV]Leveraging Large-Scale Uncurated Data for Unsupervised Pre-training of Visual Features
Mathilde Caron, Piotr Bojanowski, Julien Mairal, Armand Joulin
http://arxiv.org/abs/1905.01278v1
• [cs.CV]Lifting 2d Human Pose to 3d : A Weakly Supervised Approach
Sandika Biswas, Sanjana Sinha, Kavya Gupta, Brojeshwar Bhowmick
http://arxiv.org/abs/1905.01047v1
• [cs.CV]Offline Writer Identification based on the Path Signature Feature
Songxuan Lai, Lianwen Jin
http://arxiv.org/abs/1905.01207v1
• [cs.CV]Omni-Scale Feature Learning for Person Re-Identification
Kaiyang Zhou, Yongxin Yang, Andrea Cavallaro, Tao Xiang
http://arxiv.org/abs/1905.00953v1
• [cs.CV]PFA-ScanNet: Pyramidal Feature Aggregation with Synergistic Learning for Breast Cancer Metastasis Analysis
Zixu Zhao, Huangjing Lin, Hao Chen, Pheng Ann Heng
http://arxiv.org/abs/1905.01040v1
• [cs.CV]PRECOG: PREdiction Conditioned On Goals in Visual Multi-Agent Settings
Nicholas Rhinehart, Rowan McAllister, Kris Kitani, Sergey Levine
http://arxiv.org/abs/1905.01296v1
• [cs.CV]Query-guided End-to-End Person Search
Bharti Munjal, Sikandar Amin, Federico Tombari, Fabio Galasso
http://arxiv.org/abs/1905.01203v1
• [cs.CV]Real-time and robust multiple-view gender classification using gait features in video surveillance
Trung Dung Do, Hakil Kim, Van Huan Nguyen
http://arxiv.org/abs/1905.01013v1
• [cs.CV]Remote measurement of sea ice dynamics with regularized optimal transport
M. D. Parno, B. A. West, A. J. Song, T. S. Hodgdon, D. T. O’Connor
http://arxiv.org/abs/1905.00989v1
• [cs.CV]SCOPS: Self-Supervised Co-Part Segmentation
Wei-Chih Hung, Varun Jampani, Sifei Liu, Pavlo Molchanov, Ming-Hsuan Yang, Jan Kautz
http://arxiv.org/abs/1905.01298v1
• [cs.CV]Scaling and Benchmarking Self-Supervised Visual Representation Learning
Priya Goyal, Dhruv Mahajan, Abhinav Gupta, Ishan Misra
http://arxiv.org/abs/1905.01235v1
• [cs.CV]Seamless Scene Segmentation
Lorenzo Porzi, Samuel Rota Bulò, Aleksander Colovic, Peter Kontschieder
http://arxiv.org/abs/1905.01220v1
• [cs.CV]Semantic Segmentation of Video Sequences with Convolutional LSTMs
Andreas Pfeuffer, Karina Schulz, Klaus Dietmayer
http://arxiv.org/abs/1905.01058v1
• [cs.CV]Temporal Deformable Convolutional Encoder-Decoder Networks for Video Captioning
Jingwen Chen, Yingwei Pan, Yehao Li, Ting Yao, Hongyang Chao, Tao Mei
http://arxiv.org/abs/1905.01077v1
• [cs.CV]Visualizing Deep Networks by Optimizing with Integrated Gradients
Zhongang Qi, Saeed Khorram, Li Fuxin
http://arxiv.org/abs/1905.00954v1
• [cs.CY]What will you do next? A sequence analysis on the student transitions between online platforms in blended courses
Niki Gitinabard, Sarah Heckman, Tiffany Barnes, Collin F. Lynch
http://arxiv.org/abs/1905.00928v1
• [cs.DC]An Efficient Approach to Achieve Compositionality using Optimized Multi-Version Object Based Transactional Systems
Chirag Juyal, Sandeep Kulkarni, Sweta Kumari, Sathya Peri, Archit Somani
http://arxiv.org/abs/1905.01200v1
• [cs.DC]Leveraging Deep Learning to Improve the Performance Predictability of Cloud Microservices
Yu Gan, Yanqi Zhang, Kelvin Hu, Dailun Cheng, Yuan He, Meghna Pancholi, Christina Delimitrou
http://arxiv.org/abs/1905.00968v1
• [cs.DC]Performance Optimization on Model Synchronization in Parallel Stochastic Gradient Descent Based SVM
Vibhatha Abeykoon, Geoffrey Fox, Minje Kim
http://arxiv.org/abs/1905.01219v1
• [cs.DC]Real Differences between OT and CRDT in Correctness and Complexity for Consistency Maintenance in Co-Editors
David Sun, Chengzheng Sun, Agustina, Weiwei Cai
http://arxiv.org/abs/1905.01302v1
• [cs.DC]When parallel speedups hit the memory wall
Alex F. A. Furtunato, Kyriakos Georgiou, Kerstin Eder, Samuel Xavier-de-Souza
http://arxiv.org/abs/1905.01234v1
• [cs.IR]A Personalized Subreddit Recommendation Engine
Abhishek K Das, Nikhil Bhat, Sukanto Guha, Janvi Palan
http://arxiv.org/abs/1905.01263v1
• [cs.IR]A Relation Extraction Approach for Clinical Decision Support
Maristella Agosti, Giorgio Maria Di Nunzio, Stefano Marchesin, Gianmaria Silvello
http://arxiv.org/abs/1905.01257v1
• [cs.IR]Time-sync Video Tag Extraction Using Semantic Association Graph
Wenmian Yang, Kun Wang, Na Ruan, Wenyuan Gao, Weijia Jia, Wei Zhao, Nan Liu, Yunyong Zhang
http://arxiv.org/abs/1905.01053v1
• [cs.IT]3GPP-inspired Stochastic Geometry-based Mobility Model for a Drone Cellular Network
Morteza Banagar, Harpreet S. Dhillon
http://arxiv.org/abs/1905.00972v1
• [cs.IT]Capacity Limits of Full-Duplex Cellular Network
Kaiming Shen, Reza K. Farsani, Wei Yu
http://arxiv.org/abs/1905.00944v1
• [cs.IT]Carrier Aggregation in Multi-Beam High Throughput Satellite Systems
Mirza Golam Kibria, Eva Lagunas, Nicola Maturo, Danilo Spano, Hayder Al-Hraishawi, Symeon Chatzinotas
http://arxiv.org/abs/1905.01123v1
• [cs.IT]Intelligent Reflecting Surfaces for Free Space Optical Communications
Marzieh Najafi, Robet Schober
http://arxiv.org/abs/1905.01094v1
• [cs.IT]Inter-Cell Antenna Calibration for Coherent Joint Transmission in TDD System
Hanqing Xu, Yajun Zhao, Linmei Mo, Chen Huang, Baoyu Sun
http://arxiv.org/abs/1905.01046v1
• [cs.IT]New Perfect Nonlinear Functions and Their Semifields
Jinquan Luo, Junru Ma
http://arxiv.org/abs/1905.01041v1
• [cs.IT]Non-Orthogonal Contention-Based Access for URLLC Devices with Frequency Diversity
Christopher Boyd, Radosław Kotaba, Olav Tirkkonen, Petar Popovski
http://arxiv.org/abs/1905.01210v1
• [cs.IT]On the Separability of Parallel MISO Broadcast Channels Under Partial CSIT: A Degrees of Freedom Region Perspective
Hamdi Joudeh, Bruno Clerckx
http://arxiv.org/abs/1905.01283v1
• [cs.IT]Precoded Cluster Hopping in Multi-Beam High Throughput Satellite Systems
Mirza Golam Kibria, Eva Lagunas, Nicola Maturo, Danilo Spano, Symeon Chatzinotas
http://arxiv.org/abs/1905.01162v1
• [cs.LG]A Fuzzy Inference System for the Identification
Jose de Jesus Rubio, Ramon Silva Ortigoza, Francisco Jacob Avila, Adolfo Melendez, Juan Manuel Stein
http://arxiv.org/abs/1905.00991v1
• [cs.LG]CharBot: A Simple and Effective Method for Evading DGA Classifiers
Jonathan Peck, Claire Nie, Raaghavi Sivaguru, Charles Grumer, Femi Olumofin, Bin Yu, Anderson Nascimento, Martine De Cock
http://arxiv.org/abs/1905.01078v1
• [cs.LG]Collaborative Evolutionary Reinforcement Learning
Shauharda Khadka, Somdeb Majumdar, Santiago Miret, Evren Tumer, Tarek Nassar, Zach Dwiel, Yinyin Liu, Kagan Tumer
http://arxiv.org/abs/1905.00976v1
• [cs.LG]Compressibility Loss for Neural Network Weights
Caglar Aytekin, Francesco Cricri, Emre Aksu
http://arxiv.org/abs/1905.01044v1
• [cs.LG]Conditional WGANs with Adaptive Gradient Balancing for Sparse MRI Reconstruction
Itzik Malkiel, Sangtae Ahn, Valentina Taviani, Anne Menini, Lior Wolf, Christopher J. Hardy
http://arxiv.org/abs/1905.00985v1
• [cs.LG]Continuous Learning for Large-scale Personalized Domain Classification
Han Li, Jihwan Lee, Sidharth Mudgal, Ruhi Sarikaya, Young-Bum Kim
http://arxiv.org/abs/1905.00921v1
• [cs.LG]Convolution is outer product
Jean-Marc Andreoli
http://arxiv.org/abs/1905.01289v1
• [cs.LG]Deconstructing Lottery Tickets: Zeros, Signs, and the Supermask
Hattie Zhou, Janice Lan, Rosanne Liu, Jason Yosinski
http://arxiv.org/abs/1905.01067v1
• [cs.LG]Deep Residual Reinforcement Learning
Shangtong Zhang, Wendelin Boehmer, Shimon Whiteson
http://arxiv.org/abs/1905.01072v1
• [cs.LG]Disentangling Factors of Variation Using Few Labels
Francesco Locatello, Michael Tschannen, Stefan Bauer, Gunnar Rätsch, Bernhard Schölkopf, Olivier Bachem
http://arxiv.org/abs/1905.01258v1
• [cs.LG]Information asymmetry in KL-regularized RL
Alexandre Galashov, Siddhant M. Jayakumar, Leonard Hasenclever, Dhruva Tirumala, Jonathan Schwarz, Guillaume Desjardins, Wojciech M. Czarnecki, Yee Whye Teh, Razvan Pascanu, Nicolas Heess
http://arxiv.org/abs/1905.01240v1
• [cs.LG]Learning Programmatically Structured Representations with Perceptor Gradients
Svetlin Penkov, Subramanian Ramamoorthy
http://arxiv.org/abs/1905.00956v1
• [cs.LG]Learning Some Popular Gaussian Graphical Models without Condition Number Bounds
Jonathan Kelner, Frederic Koehler, Raghu Meka, Ankur Moitra
http://arxiv.org/abs/1905.01282v1
• [cs.LG]Learning in Modal Space: Solving Time-Dependent Stochastic PDEs Using Physics-Informed Neural Networks
Dongkun Zhang, Ling Guo, George Em Karniadakis
http://arxiv.org/abs/1905.01205v1
• [cs.LG]Locale-agnostic Universal Domain Classification Model in Spoken Language Understanding
Jihwan Lee, Ruhi Sarikaya, Young-Bum Kim
http://arxiv.org/abs/1905.00924v1
• [cs.LG]Locally Differentially Private Naive Bayes Classification
Emre Yilmaz, Mohammad Al-Rubaie, J. Morris Chang
http://arxiv.org/abs/1905.01039v1
• [cs.LG]Matlab vs. OpenCV: A Comparative Study of Different Machine Learning Algorithms
Ahmed A. Elsayed, Waleed A. Yousef
http://arxiv.org/abs/1905.01213v1
• [cs.LG]Network Representation Learning: Consolidation and Renewed Bearing
Saket Gurukar, Priyesh Vijayan, Aakash Srinivasan, Goonmeet Bajaj, Chen Cai, Moniba Keymanesh, Saravana Kumar, Pranav Maneriker, Anasua Mitra, Vedang Patel, Balaraman Ravindran, Srinivasan Parthasarathy
http://arxiv.org/abs/1905.00987v1
• [cs.LG]Predicting Urban Dispersal Events: A Two-Stage Framework through Deep Survival Analysis on Mobility Data
Amin Vahedian, Xun Zhou, Ling Tong, W. Nick Street, Ynahua Li
http://arxiv.org/abs/1905.01281v1
• [cs.LG]Stability and Generalization of Graph Convolutional Neural Networks
Saurabh Verma, Zhi-Li Zhang
http://arxiv.org/abs/1905.01004v1
• [cs.LG]Submodular Streaming in All its Glory: Tight Approximation, Minimum Memory and Low Adaptive Complexity
Ehsan Kazemi, Marko Mitrovic, Morteza Zadimoghaddam, Silvio Lattanzi, Amin Karbasi
http://arxiv.org/abs/1905.00948v1
• [cs.LG]Transfer of Adversarial Robustness Between Perturbation Types
Daniel Kang, Yi Sun, Tom Brown, Dan Hendrycks, Jacob Steinhardt
http://arxiv.org/abs/1905.01034v1
• [cs.LG]Uncertainty-Aware Principal Component Analysis
Jochen Görtler, Thilo Spinner, Dirk Streeb, Daniel Weiskopf, Oliver Deussen
http://arxiv.org/abs/1905.01127v1
• [cs.RO]Asymmetric Dual-Arm Task Execution using an Extended Relative Jacobian
Diogo Almeida, Yiannis Karayiannidis
http://arxiv.org/abs/1905.01248v1
• [cs.RO]Behavior Planning of Autonomous Cars with Social Perception
Liting Sun, Wei Zhan, Ching-Yao Chan, Masayoshi Tomizuka
http://arxiv.org/abs/1905.00988v1
• [cs.RO]HRC-SoS: Human Robot Collaboration Experimentation Platform as System of Systems
Celal Savur, Shitij Kumar, Sarthak Arora, Tuly Hazbar, Ferat Sahin
http://arxiv.org/abs/1905.01026v1
• [cs.RO]Joint Vision-Based Navigation, Control and Obstacle Avoidance for UAVs in Dynamic Environments
Ciro Potena, Daniele nardi, Alberto Pretto
http://arxiv.org/abs/1905.01187v1
• [cs.RO]MobiKa - Low-Cost Mobile Robot for Human-Robot Interaction
Florenz Graf, Çağatay Odabaşı, Theo Jacobs, Birgit Graf, Thomas Födisch
http://arxiv.org/abs/1905.01065v1
• [cs.SD]A Statistically Principled and Computationally Efficient Approach to Speech Enhancement using Variational Autoencoders
Manuel Pariente, Antoine Deleforge, Emmanuel Vincent
http://arxiv.org/abs/1905.01209v1
• [cs.SI]Network interpolation
Thomas Reeves, Anil Damle, Austin R. Benson
http://arxiv.org/abs/1905.01253v1
• [cs.SY]A Lyapunov-Based Approach to Exploit Asymmetries in Robotic Dual-Arm Task Resolution
Diogo Almeida, Yiannis Karayiannidis
http://arxiv.org/abs/1905.01261v1
• [cs.SY]Robust Cooperative Formation Control of Fixed-Wing Unmanned Aerial Vehicles
Qingrui Zhang, Hugh H. T. Liu
http://arxiv.org/abs/1905.01028v1
• [econ.EM]A Uniform Bound of the Operator Norm of Random Element Matrices and Operator Norm Minimizing Estimation
Hyungsik Roger Moon
http://arxiv.org/abs/1905.01096v1
• [eess.IV]A Splitting-Based Iterative Algorithm for GPU-Accelerated Statistical Dual-Energy X-Ray CT Reconstruction
Fangda Li, Ankit Manerikar, Tanmay Prakash, Avinash Kak
http://arxiv.org/abs/1905.00934v1
• [eess.IV]Deep Learning in Alzheimer’s Disease: Diagnostic Classification using Neuroimaging Data
Taeho Jo, Kwangsik Nho, Andrew J. Saykin
http://arxiv.org/abs/1905.00931v1
• [eess.IV]Joint High Dynamic Range Imaging and Super-Resolution from a Single Image
Jae Woong Soh, Jae Sung Park, Nam Ik Cho
http://arxiv.org/abs/1905.00933v1
• [eess.IV]Learned Quality Enhancement via Multi-Frame Priors for HEVC Compliant Low-Delay Applications
Ming Lu, Ming Cheng, Yiling Xu, Shiliang Pu, Qiu Shen, Zhan Ma
http://arxiv.org/abs/1905.01025v1
• [eess.SP]Generative Adversarial Network for Wireless Signal Spoofing
Yi Shi, Kemal Davaslioglu, Yalin E. Sagduyu
http://arxiv.org/abs/1905.01008v1
• [eess.SP]Indoor Localization for IoT Using Adaptive Feature Selection: A Cascaded Machine Learning Approach
Mohamed I. AlHajri, Nazar T. Ali, Raed M. Shubair
http://arxiv.org/abs/1905.01000v1
• [math.FA]Approximation spaces of deep neural networks
Rémi Gribonval, Gitta Kutyniok, Morten Nielsen, Felix Voigtlaender
http://arxiv.org/abs/1905.01208v1
• [math.PR]On the excursion area of perturbed Gaussian fields
Elena Di Bernardino, Anne Estrade, Maurizia Rossi
http://arxiv.org/abs/1905.00206v1
• [math.ST]Functional central limit theorems for conditional Poisson sampling
Leo Pasquazzi
http://arxiv.org/abs/1905.01021v1
• [math.ST]High dimensional VAR with low rank transition
Pierre Alquier, Karine Bertin, Paul Doukhan, Rémy Garnier
http://arxiv.org/abs/1905.00959v1
• [stat.AP]Bayesian analysis of Turkish Income and Living Conditions data, using clustered longitudinal ordinal modelling with Bridge distributed random-effects
Özgür Asar
http://arxiv.org/abs/1905.01106v1
• [stat.AP]Characterizing functional relationships between technophony and biophony: A western New York soundscape case study
Jeffrey W. Doser, Kristina M. Hannam, Andrew O. Finley
http://arxiv.org/abs/1905.01218v1
• [stat.AP]How are emergent constraints quantifying uncertainty and what do they leave behind?
Daniel B. Williamson, Philip G. Sansom
http://arxiv.org/abs/1905.01241v1
• [stat.ME]Causality without potential outcomes and the dynamic approach
Daniel Commenges
http://arxiv.org/abs/1905.01195v1
• [stat.ME]Online Control of the False Coverage Rate and False Sign Rate
Asaf Weinstein, Aaditya Ramdas
http://arxiv.org/abs/1905.01059v1
• [stat.ME]Robust Model Selection for Finite Mixture of Regression Models Through Trimming
Sijia Xiang, Weixin Yao
http://arxiv.org/abs/1905.01036v1
• [stat.ME]Selection of the Number of Clusters in Functional Data Analysis
Adriano Zanin Zambom, Julian A. Collazos, Ronaldo Dias
http://arxiv.org/abs/1905.00977v1
• [stat.ME]Simulation study of estimating between-study variance and overall effect in meta-analyses of log-response-ratio for lognormal data
Ilyas Bakbergenuly, David C. Hoaglin, Elena Kulinskaya
http://arxiv.org/abs/1905.01243v1
• [stat.ML]Parallel Gaussian process surrogate method to accelerate likelihood-free inference
Marko Järvenpää, Michael Gutmann, Aki Vehtari, Pekka Marttinen
http://arxiv.org/abs/1905.01252v1