cs.AI - 人工智能
cs.CL - 计算与语言 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DC - 分布式、并行与集群计算 cs.DS - 数据结构与算法 cs.ET - 新兴技术 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.NE - 神经与进化计算 cs.RO - 机器人学 cs.SI - 社交网络与信息网络 cs.SY - 系统与控制 eess.AS - 语音处理 eess.IV - 图像与视频处理 math.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 nlin.AO - 适应和自组织系统 q-bio.GN - 基因组学 q-bio.NC - 神经元与认知 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习
• [cs.AI]Autonomous Open-Ended Learning of Interdependent Tasks
• [cs.AI]Descriptive evaluation of students using fuzzy approximate reasoning
• [cs.AI]Design Space Exploration as Quantified Satisfaction
• [cs.AI]Learned human-agent decision-making, communication and joint action in a virtual reality environment
• [cs.CL]Caveats in Generating Medical Imaging Labels from Radiology Reports
• [cs.CL]Comprehensible Context-driven Text Game Playing
• [cs.CL]English-Bhojpuri SMT System: Insights from the Karaka Model
• [cs.CL]MASS: Masked Sequence to Sequence Pre-training for Language Generation
• [cs.CL]Question Relatedness on Stack Overflow: The Task, Dataset, and Corpus-inspired Models
• [cs.CL]RelExt: Relation Extraction using Deep Learning approaches for Cybersecurity Knowledge Graph Improvement
• [cs.CL]The method of automatic summarization from different sources
• [cs.CV]A Geometric Approach to Obtain a Bird’s Eye View from an Image
• [cs.CV]Adapting Image Super-Resolution State-of-the-arts and Learning Multi-model Ensemble for Video Super-Resolution
• [cs.CV]Attention-based Fusion for Multi-source Human Image Generation
• [cs.CV]Automatic 4D Facial Expression Recognition via Collaborative Cross-domain Dynamic Image Network
• [cs.CV]CARAFE: Content-Aware ReAssembly of FEatures
• [cs.CV]Context-Aware Automatic Occlusion Removal
• [cs.CV]Contrastive Learning for Lifted Networks
• [cs.CV]EDVR: Video Restoration with Enhanced Deformable Convolutional Networks
• [cs.CV]Ensemble of Convolutional Neural Networks Trained with Different Activation Functions
• [cs.CV]Feature-Fused Context-Encoding Network for Neuroanatomy Segmentation
• [cs.CV]Frame-wise Motion and Appearance for Real-time Multiple Object Tracking
• [cs.CV]High Frequency Residual Learning for Multi-Scale Image Classification
• [cs.CV]Image Matters: Detecting Offensive and Non-Compliant Content / Logo in Product Images
• [cs.CV]Interactive Video Retrieval with Dialog
• [cs.CV]LEDNet: A Lightweight Encoder-Decoder Network for Real-Time Semantic Segmentation
• [cs.CV]Learning Unsupervised Multi-View Stereopsis via Robust Photometric Consistency
• [cs.CV]Learning to Interpret Satellite Images in Global Scale Using Wikipedia
• [cs.CV]Locality and Structure Regularized Low Rank Representation for Hyperspectral Image Classification
• [cs.CV]P2SGrad: Refined Gradients for Optimizing Deep Face Models
• [cs.CV]PackNet-SfM: 3D Packing for Self-Supervised Monocular Depth Estimation
• [cs.CV]Recovering remote Photoplethysmograph Signal from Facial videos Using Spatio-Temporal Convolutional Networks
• [cs.CV]Searching for MobileNetV3
• [cs.CV]Semantic Adversarial Network for Zero-Shot Sketch-Based Image Retrieval
• [cs.CV]Simultaneous Object Detection and Semantic Segmentation
• [cs.CV]Source Generator Attribution via Inversion
• [cs.CV]Sparse data interpolation using the geodesic distance affinity space
• [cs.CV]Spatially Constrained Generative Adversarial Networks for Conditional Image Generation
• [cs.CV]Transferring Multiscale Map Styles Using Generative Adversarial Networks
• [cs.CV]Variational Representation Learning for Vehicle Re-Identification
• [cs.CY]A model to assess customer alignment through customer experience concepts
• [cs.CY]Business and Information Technology Alignment Measurement — a recent Literature Review
• [cs.DC]Enhancing Quality of Experience using DHT Overlay on Device-to-Device Communications in LTE-A Networks
• [cs.DC]Transferable Knowledge for Low-cost Decision Making in Cloud Environments
• [cs.DS]Adversarially Robust Submodular Maximization under Knapsack Constraints
• [cs.DS]Optimal Convergence Rate of Hamiltonian Monte Carlo for Strongly Logconcave Distributions
• [cs.ET]An Interpretable Neural Network for Configuring Programmable Wireless Environments
• [cs.HC]A Visual Programming Paradigm for Abstract Deep Learning Model Development
• [cs.HC]On bias in social reviews of university courses
• [cs.IR]A general graph-based framework for top-N recommendation using content, temporal and trust information
• [cs.IR]Interactive Search and Exploration in Online Discussion Forums Using Multimodal Embeddings
• [cs.IT]A Dynamic and Incentive Policy for Selecting D2D Mobile Relays
• [cs.IT]Correcting Codes for Asymmetric Single Magnitude Four Error
• [cs.IT]Greedy Signal Space Recovery Algorithm with Overcomplete Dictionaries in Compressive Sensing
• [cs.IT]Hierarchical Coding to Enable Scalability and Flexibility in Heterogeneous Cloud Storage
• [cs.IT]Lifted Multiplicity Codes
• [cs.IT]Time-Varying Massive MIMO Channel Estimation: Capturing, Reconstruction and Restoration
• [cs.IT]Two classes of linear codes and their generalized Hamming weights
• [cs.LG]A Bayesian Variational Framework for Stochastic Optimization
• [cs.LG]A Modular Deep Learning Approach for Extreme Multi-label Text Classification
• [cs.LG]A joint model of unpaired data from scRNA-seq and spatial transcriptomics for imputing missing gene expression measurements
• [cs.LG]Adversarial Variational Embedding for Robust Semi-supervised Learning
• [cs.LG]An Integrated Multi-Time-Scale Modeling for Solar Irradiance Forecasting Using Deep Learning
• [cs.LG]Are Graph Neural Networks Miscalibrated?
• [cs.LG]CrossTrainer: Practical Domain Adaptation with Loss Reweighting
• [cs.LG]Dimension-Wise Importance Sampling Weight Clipping for Sample-Efficient Reinforcement Learning
• [cs.LG]FCC-GAN: A Fully Connected and Convolutional Net Architecture for GANs
• [cs.LG]Gaussian Differential Privacy
• [cs.LG]Generating Realistic Unrestricted Adversarial Inputs using Dual-Objective GAN Training
• [cs.LG]Interpretable Outcome Prediction with Sparse Bayesian Neural Networks in Intensive Care
• [cs.LG]Learning Causality: Synthesis of Large-Scale Causal Networks from High-Dimensional Time Series Data
• [cs.LG]Learning Optimal Data Augmentation Policies via Bayesian Optimization for Image Classification Tasks
• [cs.LG]Lessons from Real-World Reinforcement Learning in a Customer Support Bot
• [cs.LG]Machine Learning Cryptanalysis of a Quantum Random Number Generator
• [cs.LG]MixMatch: A Holistic Approach to Semi-Supervised Learning
• [cs.LG]Neural Architecture Refinement: A Practical Way for Avoiding Overfitting in NAS
• [cs.LG]Object Exchangeability in Reinforcement Learning: Extended Abstract
• [cs.LG]REGAL: Transfer Learning For Fast Optimization of Computation Graphs
• [cs.LG]Rethinking Arithmetic for Deep Neural Networks
• [cs.LG]Sum-of-Squares Polynomial Flow
• [cs.NE]A Comprehensive Analysis on Adversarial Robustness of Spiking Neural Networks
• [cs.NE]Continual and Multi-task Reinforcement Learning With Shared Episodic Memory
• [cs.RO]Bee$^+$: A 95-mg Four-Winged Insect-Scale Flying Robot Driven by Twinned Unimorph Actuators
• [cs.RO]Collaborative Localization for Micro Aerial Vehicles
• [cs.RO]Combining Planning and Deep Reinforcement Learning in Tactical Decision Making for Autonomous Driving
• [cs.RO]FSMI: Fast computation of Shannon Mutual Information for information-theoretic mapping
• [cs.SI]PocketCare: Tracking the Flu with Mobile Phones using Partial Observations of Proximity and Symptoms
• [cs.SI]The Alt-Right and Global Information Warfare
• [cs.SY]Optimal Control of Complex Systems through Variational Inference with a Discrete Event Decision Process
• [eess.AS]Meeting Transcription Using Virtual Microphone Arrays
• [eess.IV]Accurate Tissue Interface Segmentation via Adversarial Pre-Segmentation of Anterior Segment OCT Images
• [eess.IV]DLIMD: Dictionary Learning based Image-domain Material Decomposition for spectral CT
• [eess.IV]Efficient Neural Architecture Search on Low-Dimensional Data for OCT Image Segmentation
• [eess.IV]Ocular Diseases Diagnosis in Fundus Images using a Deep Learning: Approaches, tools and Performance evaluation
• [eess.IV]PI-BA Bundle Adjustment Acceleration on Embedded FPGAs with Co-observation Optimization
• [eess.IV]Trinity of Pixel Enhancement: a Joint Solution for Demosaicking, Denoising and Super-Resolution
• [math.OC]Convergence Rate of Distributed Optimization Algorithms Based on Gradient Tracking
• [math.PR]Ergodic branching diffusions with immigration: properties of invariant occupation measure, identification of particles under high-frequency observation, and estimation of the diffusion coefficient at nonparametric rates
• [math.ST]Moderate deviations in a class of stable but nearly unstable processes
• [math.ST]On the assumption of independent right censoring
• [math.ST]Tail dependence and smoothness
• [nlin.AO]Performance boost of time-delay reservoir computing by non-resonant clock cycle
• [q-bio.GN]Analysis of Gene Interaction Graphs for Biasing Machine Learning Models
• [q-bio.NC]A Complementary Learning Systems Approach to Temporal Difference Learning
• [q-bio.NC]Representation of White- and Black-Box Adversarial Examples in Deep Neural Networks and Humans: A Functional Magnetic Resonance Imaging Study
• [stat.AP]A mixture model approach for clustering bipartite networks
• [stat.AP]One-class classification with application to forensic analysis
• [stat.AP]Tree-based Reconstruction of Ecological Network from Abundance Data
• [stat.ME]F-measure Maximizing Logistic Regression
• [stat.ME]On Weighted Multivariate Sign Functions
• [stat.ML]Adversarial Examples Are Not Bugs, They Are Features
• [stat.ML]Bayesian Optimization for Multi-objective Optimization and Multi-point Search
• [stat.ML]Estimate Sequences for Variance-Reduced Stochastic Composite Optimization
• [stat.ML]Guided Visual Exploration of Relations in Data Sets
• [stat.ML]Hybrid Density- and Partition-based Clustering Algorithm for Data with Mixed-type Variables
• [stat.ML]Knowing The What But Not The Where in Bayesian Optimization
• [stat.ML]Learning Clique Forests
• [stat.ML]Towards Evaluating and Understanding Robust Optimisation under Transfer
·····································
• [cs.AI]Autonomous Open-Ended Learning of Interdependent Tasks
Vieri Giuliano Santucci, Emilio Cartoni, Bruno Castro da Silva, Gianluca Baldassarre
http://arxiv.org/abs/1905.02690v1
• [cs.AI]Descriptive evaluation of students using fuzzy approximate reasoning
Mohsen Annabestani, Alireza Rowhanimanesh, Aylar Mizani, Akram Rezaei
http://arxiv.org/abs/1905.02549v1
• [cs.AI]Design Space Exploration as Quantified Satisfaction
Alexander Feldman, Johan de Kleer, Ion Matei
http://arxiv.org/abs/1905.02303v1
• [cs.AI]Learned human-agent decision-making, communication and joint action in a virtual reality environment
Patrick M. Pilarski, Andrew Butcher, Michael Johanson, Matthew M. Botvinick, Andrew Bolt, Adam S. R. Parker
http://arxiv.org/abs/1905.02691v1
• [cs.CL]Caveats in Generating Medical Imaging Labels from Radiology Reports
Tobi Olatunji, Li Yao, Ben Covington, Alexander Rhodes, Anthony Upton
http://arxiv.org/abs/1905.02283v1
• [cs.CL]Comprehensible Context-driven Text Game Playing
Xusen Yin, Jonathan May
http://arxiv.org/abs/1905.02265v1
• [cs.CL]English-Bhojpuri SMT System: Insights from the Karaka Model
Atul Kr. Ojha
http://arxiv.org/abs/1905.02239v1
• [cs.CL]MASS: Masked Sequence to Sequence Pre-training for Language Generation
Kaitao Song, Xu Tan, Tao Qin, Jianfeng Lu, Tie-Yan Liu
http://arxiv.org/abs/1905.02450v1
• [cs.CL]Question Relatedness on Stack Overflow: The Task, Dataset, and Corpus-inspired Models
Amirreza Shirani, Bowen Xu, David Lo, Thamar Solorio, Amin Alipour
http://arxiv.org/abs/1905.01966v2
• [cs.CL]RelExt: Relation Extraction using Deep Learning approaches for Cybersecurity Knowledge Graph Improvement
Aditya Pingle, Aritran Piplai, Sudip Mittal, Anupam Joshi
http://arxiv.org/abs/1905.02497v1
• [cs.CL]The method of automatic summarization from different sources
Nataliya Shakhovska, Taras Cherna
http://arxiv.org/abs/1905.02623v1
• [cs.CV]A Geometric Approach to Obtain a Bird’s Eye View from an Image
Ammar Abbas, Andrew Zisserman
http://arxiv.org/abs/1905.02231v1
• [cs.CV]Adapting Image Super-Resolution State-of-the-arts and Learning Multi-model Ensemble for Video Super-Resolution
Chao Li, Dongliang He, Xiao Liu, Yukang Ding, Shilei Wen
http://arxiv.org/abs/1905.02462v1
• [cs.CV]Attention-based Fusion for Multi-source Human Image Generation
Stéphane Lathuilière, Enver Sangineto, Aliaksandr Siarohin, Nicu Sebe
http://arxiv.org/abs/1905.02655v1
• [cs.CV]Automatic 4D Facial Expression Recognition via Collaborative Cross-domain Dynamic Image Network
Muzammil Behzad, Nhat Vo, Xiaobai Li, Guoying Zhao
http://arxiv.org/abs/1905.02319v1
• [cs.CV]CARAFE: Content-Aware ReAssembly of FEatures
Jiaqi Wang, Kai Chen, Rui Xu, Ziwei Liu, Chen Change Loy, Dahua Lin
http://arxiv.org/abs/1905.02188v2
• [cs.CV]Context-Aware Automatic Occlusion Removal
Kumara Kahatapitiya, Dumindu Tissera, Ranga Rodrigo
http://arxiv.org/abs/1905.02710v1
• [cs.CV]Contrastive Learning for Lifted Networks
Christopher Zach, Virginia Estellers
http://arxiv.org/abs/1905.02507v1
• [cs.CV]EDVR: Video Restoration with Enhanced Deformable Convolutional Networks
Xintao Wang, Kelvin C. K. Chan, Ke Yu, Chao Dong, Chen Change Loy
http://arxiv.org/abs/1905.02716v1
• [cs.CV]Ensemble of Convolutional Neural Networks Trained with Different Activation Functions
Gianluca Maguolo, Loris Nanni, Stefano Ghidoni
http://arxiv.org/abs/1905.02473v1
• [cs.CV]Feature-Fused Context-Encoding Network for Neuroanatomy Segmentation
Yuemeng Li, Hangfan Liu, Hongming Li, Yong Fan
http://arxiv.org/abs/1905.02686v1
• [cs.CV]Frame-wise Motion and Appearance for Real-time Multiple Object Tracking
Jimuyang Zhang, Sanping Zhou, Jinjun Wang, Dong Huang
http://arxiv.org/abs/1905.02292v1
• [cs.CV]High Frequency Residual Learning for Multi-Scale Image Classification
Bowen Cheng, Rong Xiao, Jianfeng Wang, Thomas Huang, Lei Zhang
http://arxiv.org/abs/1905.02649v1
• [cs.CV]Image Matters: Detecting Offensive and Non-Compliant Content / Logo in Product Images
Shreyansh Gandhi, Samrat Kokkula, Abon Chaudhuri, Alessandro Magnani, Theban Stanley, Behzad Ahmadi, Venkatesh Kandaswamy, Omer Ovenc, Shie Mannor
http://arxiv.org/abs/1905.02234v1
• [cs.CV]Interactive Video Retrieval with Dialog
Sho Maeoki, Kohei Uehara, Tatsuya Harada
http://arxiv.org/abs/1905.02442v1
• [cs.CV]LEDNet: A Lightweight Encoder-Decoder Network for Real-Time Semantic Segmentation
Yu Wang, Quan Zhou, Jia Liu, Jian Xiong, Guangwei Gao, Xiaofu Wu, Longin Jan Latecki
http://arxiv.org/abs/1905.02423v1
• [cs.CV]Learning Unsupervised Multi-View Stereopsis via Robust Photometric Consistency
Tejas Khot, Shubham Agrawal, Shubham Tulsiani, Christoph Mertz, Simon Lucey, Martial Hebert
http://arxiv.org/abs/1905.02706v1
• [cs.CV]Learning to Interpret Satellite Images in Global Scale Using Wikipedia
Burak Uzkent, Evan Sheehan, Chenlin Meng, Zhongyi Tang, Marshall Burke, David Lobell, Stefano Ermon
http://arxiv.org/abs/1905.02506v1
• [cs.CV]Locality and Structure Regularized Low Rank Representation for Hyperspectral Image Classification
Qi Wang, Xiange He, Xuelong Li
http://arxiv.org/abs/1905.02488v1
• [cs.CV]P2SGrad: Refined Gradients for Optimizing Deep Face Models
Xiao Zhang, Rui Zhao, Junjie Yan, Mengya Gao, Yu Qiao, Xiaogang Wang, Hongsheng Li
http://arxiv.org/abs/1905.02479v1
• [cs.CV]PackNet-SfM: 3D Packing for Self-Supervised Monocular Depth Estimation
Vitor Guizilini, Rares Ambrus, Sudeep Pillai, Adrien Gaidon
http://arxiv.org/abs/1905.02693v1
• [cs.CV]Recovering remote Photoplethysmograph Signal from Facial videos Using Spatio-Temporal Convolutional Networks
Zitong Yu, Xiaobai Li, Guoying Zhao
http://arxiv.org/abs/1905.02419v1
• [cs.CV]Searching for MobileNetV3
Andrew Howard, Mark Sandler, Grace Chu, Liang-Chieh Chen, Bo Chen, Mingxing Tan, Weijun Wang, Yukun Zhu, Ruoming Pang, Vijay Vasudevan, Quoc V. Le, Hartwig Adam
http://arxiv.org/abs/1905.02244v1
• [cs.CV]Semantic Adversarial Network for Zero-Shot Sketch-Based Image Retrieval
Xinxun Xu, Hao Wang, Leida Li, Cheng Deng
http://arxiv.org/abs/1905.02327v1
• [cs.CV]Simultaneous Object Detection and Semantic Segmentation
Niels Ole Salscheider
http://arxiv.org/abs/1905.02285v1
• [cs.CV]Source Generator Attribution via Inversion
Michael Albright, Scott McCloskey
http://arxiv.org/abs/1905.02259v1
• [cs.CV]Sparse data interpolation using the geodesic distance affinity space
Mikhail G. Mozerov, Fei Yang, Joost van de Weijer
http://arxiv.org/abs/1905.02229v1
• [cs.CV]Spatially Constrained Generative Adversarial Networks for Conditional Image Generation
Songyao Jiang, Hongfu Liu, Yue Wu, Yun Fu
http://arxiv.org/abs/1905.02320v1
• [cs.CV]Transferring Multiscale Map Styles Using Generative Adversarial Networks
Yuhao Kang, Song Gao, Robert E. Roth
http://arxiv.org/abs/1905.02200v1
• [cs.CV]Variational Representation Learning for Vehicle Re-Identification
Saghir Ahmed Saghir Alfasly, Yongjian Hu, Tiancai Liang, Xiaofeng Jin, Qingli Zhao, Beibei Liu
http://arxiv.org/abs/1905.02343v1
• [cs.CY]A model to assess customer alignment through customer experience concepts
Leonardo Munoz, Oscar Avila
http://arxiv.org/abs/1905.02356v1
• [cs.CY]Business and Information Technology Alignment Measurement — a recent Literature Review
Leonardo Munoz, Oscar Avila
http://arxiv.org/abs/1905.02349v1
• [cs.DC]Enhancing Quality of Experience using DHT Overlay on Device-to-Device Communications in LTE-A Networks
Sumit Kumar Tetarave, Somanath Tripathy, R. K. Ghosh
http://arxiv.org/abs/1905.02381v1
• [cs.DC]Transferable Knowledge for Low-cost Decision Making in Cloud Environments
Faiza Samreen, Gordon S Blair, Yehia Elkhatib
http://arxiv.org/abs/1905.02448v1
• [cs.DS]Adversarially Robust Submodular Maximization under Knapsack Constraints
Dmitrii Avdiukhin, Slobodan Mitrović, Grigory Yaroslavtsev, Samson Zhou
http://arxiv.org/abs/1905.02367v1
• [cs.DS]Optimal Convergence Rate of Hamiltonian Monte Carlo for Strongly Logconcave Distributions
Zongchen Chen, Santosh S. Vempala
http://arxiv.org/abs/1905.02313v1
• [cs.ET]An Interpretable Neural Network for Configuring Programmable Wireless Environments
Christos Liaskos, Ageliki Tsioliaridou, Shuai Nie, Andreas Pitsillides, Sotiris Ioannidis, Ian Akyildiz
http://arxiv.org/abs/1905.02495v1
• [cs.HC]A Visual Programming Paradigm for Abstract Deep Learning Model Development
Srikanth Tamilselvam, Naveen Panwar, Shreya Khare, Rahul Aralikatte, Anush Sankaran, Senthil Mani
http://arxiv.org/abs/1905.02486v1
• [cs.HC]On bias in social reviews of university courses
Taha Hassan
http://arxiv.org/abs/1905.02272v1
• [cs.IR]A general graph-based framework for top-N recommendation using content, temporal and trust information
Armel Jacques Nzekon Nzeko’o, Maurice Tchuente, Matthieu Latapy
http://arxiv.org/abs/1905.02681v1
• [cs.IR]Interactive Search and Exploration in Online Discussion Forums Using Multimodal Embeddings
Iva Gornishka, Stevan Rudinac, Marcel Worring
http://arxiv.org/abs/1905.02430v1
• [cs.IT]A Dynamic and Incentive Policy for Selecting D2D Mobile Relays
Rita Ibrahim, Mohamad Assaad, Berna Sayrac
http://arxiv.org/abs/1905.02392v1
• [cs.IT]Correcting Codes for Asymmetric Single Magnitude Four Error
Derong Xie, Jinquan Luo
http://arxiv.org/abs/1905.02570v1
• [cs.IT]Greedy Signal Space Recovery Algorithm with Overcomplete Dictionaries in Compressive Sensing
Jianchen Zhu, Shengjie Zhao, Qingjiang Shi, Gonzalo R. Arce
http://arxiv.org/abs/1905.02433v1
• [cs.IT]Hierarchical Coding to Enable Scalability and Flexibility in Heterogeneous Cloud Storage
Siyi Yang, Ahmed Hareedy, Robert Calderbank, Lara Dolecek
http://arxiv.org/abs/1905.02279v1
• [cs.IT]Lifted Multiplicity Codes
Ray Li, Mary Wootters
http://arxiv.org/abs/1905.02270v1
• [cs.IT]Time-Varying Massive MIMO Channel Estimation: Capturing, Reconstruction and Restoration
Muye Li, Shun Zhang, Nan Zhao, Weile Zhang, Xianbin Wang
http://arxiv.org/abs/1905.02371v1
• [cs.IT]Two classes of linear codes and their generalized Hamming weights
Gaopeng Jian
http://arxiv.org/abs/1905.02482v1
• [cs.LG]A Bayesian Variational Framework for Stochastic Optimization
Philippe Casgrain
http://arxiv.org/abs/1905.01707v2
• [cs.LG]A Modular Deep Learning Approach for Extreme Multi-label Text Classification
Wei-Cheng Chang, Hsiang-Fu Yu, Kai Zhong, Yiming Yang, Inderjit Dhillon
http://arxiv.org/abs/1905.02331v1
• [cs.LG]A joint model of unpaired data from scRNA-seq and spatial transcriptomics for imputing missing gene expression measurements
Romain Lopez, Achille Nazaret, Maxime Langevin, Jules Samaran, Jeffrey Regier, Michael I. Jordan, Nir Yosef
http://arxiv.org/abs/1905.02269v1
• [cs.LG]Adversarial Variational Embedding for Robust Semi-supervised Learning
Xiang Zhang, Lina Yao, Feng Yuan
http://arxiv.org/abs/1905.02361v1
• [cs.LG]An Integrated Multi-Time-Scale Modeling for Solar Irradiance Forecasting Using Deep Learning
Sakshi Mishra, Praveen Palanisamy
http://arxiv.org/abs/1905.02616v1
• [cs.LG]Are Graph Neural Networks Miscalibrated?
Leonardo Teixeira, Brian Jalaian, Bruno Ribeiro
http://arxiv.org/abs/1905.02296v1
• [cs.LG]CrossTrainer: Practical Domain Adaptation with Loss Reweighting
Justin Chen, Edward Gan, Kexin Rong, Sahaana Suri, Peter Bailis
http://arxiv.org/abs/1905.02304v1
• [cs.LG]Dimension-Wise Importance Sampling Weight Clipping for Sample-Efficient Reinforcement Learning
Seungyul Han, Youngchul Sung
http://arxiv.org/abs/1905.02363v1
• [cs.LG]FCC-GAN: A Fully Connected and Convolutional Net Architecture for GANs
Sukarna Barua, Sarah Monazam Erfani, James Bailey
http://arxiv.org/abs/1905.02417v1
• [cs.LG]Gaussian Differential Privacy
Jinshuo Dong, Aaron Roth, Weijie J. Su
http://arxiv.org/abs/1905.02383v1
• [cs.LG]Generating Realistic Unrestricted Adversarial Inputs using Dual-Objective GAN Training
Isaac Dunn, Tom Melham, Daniel Kroening
http://arxiv.org/abs/1905.02463v1
• [cs.LG]Interpretable Outcome Prediction with Sparse Bayesian Neural Networks in Intensive Care
Anna-Lena Popkes, Hiske Overweg, Ari Ercole, Yingzhen Li, José Miguel Hernández-Lobato, Yordan Zaykov, Cheng Zhang
http://arxiv.org/abs/1905.02599v1
• [cs.LG]Learning Causality: Synthesis of Large-Scale Causal Networks from High-Dimensional Time Series Data
Mark-Oliver Stehr, Peter Avar, Andrew R. Korte, Lida Parvin, Ziad J. Sahab, Deborah I. Bunin, Merrill Knapp, Denise Nishita, Andrew Poggio, Carolyn L. Talcott, Brian M. Davis, Christine A. Morton, Christopher J. Sevinsky, Maria I. Zavodszky, Akos Vertes
http://arxiv.org/abs/1905.02291v1
• [cs.LG]Learning Optimal Data Augmentation Policies via Bayesian Optimization for Image Classification Tasks
Chunxu Zhang, Jiaxu Cui, Bo Yang
http://arxiv.org/abs/1905.02610v1
• [cs.LG]Lessons from Real-World Reinforcement Learning in a Customer Support Bot
Nikos Karampatziakis, Sebastian Kochman, Jade Huang, Paul Mineiro, Kathy Osborne, Weizhu Chen
http://arxiv.org/abs/1905.02219v1
• [cs.LG]Machine Learning Cryptanalysis of a Quantum Random Number Generator
Nhan Duy Truong, Jing Yan Haw, Syed Muhamad Assad, Ping Koy Lam, Omid Kavehei
http://arxiv.org/abs/1905.02342v1
• [cs.LG]MixMatch: A Holistic Approach to Semi-Supervised Learning
David Berthelot, Nicholas Carlini, Ian Goodfellow, Nicolas Papernot, Avital Oliver, Colin Raffel
http://arxiv.org/abs/1905.02249v1
• [cs.LG]Neural Architecture Refinement: A Practical Way for Avoiding Overfitting in NAS
Yang Jiang, Cong Zhao, Lei Pang
http://arxiv.org/abs/1905.02341v1
• [cs.LG]Object Exchangeability in Reinforcement Learning: Extended Abstract
John Mern, Dorsa Sadigh, Mykel Kochenderfer
http://arxiv.org/abs/1905.02698v1
• [cs.LG]REGAL: Transfer Learning For Fast Optimization of Computation Graphs
Aditya Paliwal, Felix Gimeno, Vinod Nair, Yujia Li, Miles Lubin, Pushmeet Kohli, Oriol Vinyals
http://arxiv.org/abs/1905.02494v1
• [cs.LG]Rethinking Arithmetic for Deep Neural Networks
George A. Constantinides
http://arxiv.org/abs/1905.02438v1
• [cs.LG]Sum-of-Squares Polynomial Flow
Priyank Jaini, Kira A. Selby, Yaoliang Yu
http://arxiv.org/abs/1905.02325v1
• [cs.NE]A Comprehensive Analysis on Adversarial Robustness of Spiking Neural Networks
Saima Sharmin, Priyadarshini Panda, Syed Shakib Sarwar, Chankyu Lee, Wachirawit Ponghiran, Kaushik Roy
http://arxiv.org/abs/1905.02704v1
• [cs.NE]Continual and Multi-task Reinforcement Learning With Shared Episodic Memory
Artyom Y. Sorokin, Mikhail S. Burtsev
http://arxiv.org/abs/1905.02662v1
• [cs.RO]Bee$^+$: A 95-mg Four-Winged Insect-Scale Flying Robot Driven by Twinned Unimorph Actuators
Xiufeng Yang, Ying Chen, Longlong Chang, Ariel A. Calderón, Néstor O. Pérez-Arancibia
http://arxiv.org/abs/1905.02253v1
• [cs.RO]Collaborative Localization for Micro Aerial Vehicles
Sai Vemprala, Srikanth Saripalli
http://arxiv.org/abs/1905.02648v1
• [cs.RO]Combining Planning and Deep Reinforcement Learning in Tactical Decision Making for Autonomous Driving
Carl-Johan Hoel, Katherine Driggs-Campbell, Krister Wolff, Leo Laine, Mykel J. Kochenderfer
http://arxiv.org/abs/1905.02680v1
• [cs.RO]FSMI: Fast computation of Shannon Mutual Information for information-theoretic mapping
Zhengdong Zhang, Trevor Henderson, Sertac Karaman, Vivienne Sze
http://arxiv.org/abs/1905.02238v1
• [cs.SI]PocketCare: Tracking the Flu with Mobile Phones using Partial Observations of Proximity and Symptoms
Wen Dong, Tong Guan, Bruno Lepri, Chunming Qiao
http://arxiv.org/abs/1905.02607v1
• [cs.SI]The Alt-Right and Global Information Warfare
Emmi Bevensee, Alexander Reid Ross
http://arxiv.org/abs/1905.02712v1
• [cs.SY]Optimal Control of Complex Systems through Variational Inference with a Discrete Event Decision Process
Wen Dong, Bo Liu, Fan Yang
http://arxiv.org/abs/1905.02606v1
• [eess.AS]Meeting Transcription Using Virtual Microphone Arrays
Takuya Yoshioka, Zhuo Chen, Dimitrios Dimitriadis, William Hinthorn, Xuedong Huang, Andreas Stolcke, Michael Zeng
http://arxiv.org/abs/1905.02545v1
• [eess.IV]Accurate Tissue Interface Segmentation via Adversarial Pre-Segmentation of Anterior Segment OCT Images
Jiahong Ouyang, Tejas Sudharshan Mathai, Kira Lathrop, John Galeotti
http://arxiv.org/abs/1905.02378v1
• [eess.IV]DLIMD: Dictionary Learning based Image-domain Material Decomposition for spectral CT
Weiwen Wu, Haijun Yu, Peijun Chen, Fulin Luo, Fenglin Liu, Qian Wang, Yining Zhu, Yanbo Zhang, Jian Feng, Hengyong Yu
http://arxiv.org/abs/1905.02567v1
• [eess.IV]Efficient Neural Architecture Search on Low-Dimensional Data for OCT Image Segmentation
Nils Gessert, Alexander Schlaefer
http://arxiv.org/abs/1905.02590v1
• [eess.IV]Ocular Diseases Diagnosis in Fundus Images using a Deep Learning: Approaches, tools and Performance evaluation
Yaroub Elloumi, Mohamed Akil, Henda Boudegga
http://arxiv.org/abs/1905.02544v1
• [eess.IV]PI-BA Bundle Adjustment Acceleration on Embedded FPGAs with Co-observation Optimization
Shuzhen Qin, Qiang Liu, Bo Yu, Shaoshan Liu
http://arxiv.org/abs/1905.02373v1
• [eess.IV]Trinity of Pixel Enhancement: a Joint Solution for Demosaicking, Denoising and Super-Resolution
Guocheng Qian, Jinjin Gu, Jimmy S. Ren, Chao Dong, Furong Zhao, Juan Lin
http://arxiv.org/abs/1905.02538v1
• [math.OC]Convergence Rate of Distributed Optimization Algorithms Based on Gradient Tracking
Ying Sun, Amir Daneshmand, Gesualdo Scutari
http://arxiv.org/abs/1905.02637v1
• [math.PR]Ergodic branching diffusions with immigration: properties of invariant occupation measure, identification of particles under high-frequency observation, and estimation of the diffusion coefficient at nonparametric rates
Matthias Hammer, Reinhard Höpfner, Tobias Berg
http://arxiv.org/abs/1905.02656v1
• [math.ST]Moderate deviations in a class of stable but nearly unstable processes
Frédéric Proïa
http://arxiv.org/abs/1905.02618v1
• [math.ST]On the assumption of independent right censoring
Morten Overgaard, Stefan Nygaard Hansen
http://arxiv.org/abs/1905.02508v1
• [math.ST]Tail dependence and smoothness
Helena Ferreira, Marta Ferreira
http://arxiv.org/abs/1905.02511v1
• [nlin.AO]Performance boost of time-delay reservoir computing by non-resonant clock cycle
Florian Stelzer, André Röhm, Kathy Lüdge, Serhiy Yanchuk
http://arxiv.org/abs/1905.02534v1
• [q-bio.GN]Analysis of Gene Interaction Graphs for Biasing Machine Learning Models
Paul Bertin, Mohammad Hashir, Martin Weiss, Geneviève Boucher, Vincent Frappier, Joseph Paul Cohen
http://arxiv.org/abs/1905.02295v1
• [q-bio.NC]A Complementary Learning Systems Approach to Temporal Difference Learning
Sam Blakeman, Denis Mareschal
http://arxiv.org/abs/1905.02636v1
• [q-bio.NC]Representation of White- and Black-Box Adversarial Examples in Deep Neural Networks and Humans: A Functional Magnetic Resonance Imaging Study
Chihye Han, Wonjun Yoon, Gihyun Kwon, Seungkyu Nam, Daeshik Kim
http://arxiv.org/abs/1905.02422v1
• [stat.AP]A mixture model approach for clustering bipartite networks
Isabella Gollini
http://arxiv.org/abs/1905.02659v1
• [stat.AP]One-class classification with application to forensic analysis
Laura Anderlucci, Francesca Fortunato, Angela Montanari
http://arxiv.org/abs/1905.02406v1
• [stat.AP]Tree-based Reconstruction of Ecological Network from Abundance Data
Raphaëlle Momal, Stéphane Robin, Christophe Ambroise
http://arxiv.org/abs/1905.02452v1
• [stat.ME]F-measure Maximizing Logistic Regression
Masaaki Okabe, Jun Tsuchida, Hiroshi Yadohisa
http://arxiv.org/abs/1905.02535v1
• [stat.ME]On Weighted Multivariate Sign Functions
Subhabrata Majumdar, Snigdhansu Chatterjee
http://arxiv.org/abs/1905.02700v1
• [stat.ML]Adversarial Examples Are Not Bugs, They Are Features
Andrew Ilyas, Shibani Santurkar, Dimitris Tsipras, Logan Engstrom, Brandon Tran, Aleksander Madry
http://arxiv.org/abs/1905.02175v2
• [stat.ML]Bayesian Optimization for Multi-objective Optimization and Multi-point Search
Takashi Wada, Hideitsu Hino
http://arxiv.org/abs/1905.02370v1
• [stat.ML]Estimate Sequences for Variance-Reduced Stochastic Composite Optimization
Andrei Kulunchakov, Julien Mairal
http://arxiv.org/abs/1905.02374v1
• [stat.ML]Guided Visual Exploration of Relations in Data Sets
Kai Puolamäki, Emilia Oikarinen, Andreas Henelius
http://arxiv.org/abs/1905.02515v1
• [stat.ML]Hybrid Density- and Partition-based Clustering Algorithm for Data with Mixed-type Variables
Shu Wang, Jonathan G. Yabes, Chung-Chou H. Chang
http://arxiv.org/abs/1905.02257v1
• [stat.ML]Knowing The What But Not The Where in Bayesian Optimization
Vu Nguyen, Michael A. Osborne
http://arxiv.org/abs/1905.02685v1
• [stat.ML]Learning Clique Forests
Guido Previde Massara, Tomaso Aste
http://arxiv.org/abs/1905.02266v1
• [stat.ML]Towards Evaluating and Understanding Robust Optimisation under Transfer
Todor Davchev, Timos Kores, Stathi Fotiadis, Nick Antonopoulos, Subramanian Ramamoorthy
http://arxiv.org/abs/1905.02675v1