cs.AI - 人工智能
cs.AR - 硬件体系结构 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.DS - 数据结构与算法 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.LO - 计算逻辑 cs.MA - 多代理系统 cs.NE - 神经与进化计算 cs.NI - 网络和互联网体系结构 cs.PF - 计算性能 cs.PL - 编程语言 cs.RO - 机器人学 cs.SD - 声音处理 cs.SE - 软件工程 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.OC - 优化与控制 math.ST - 统计理论 physics.comp-ph - 计算物理学 physics.soc-ph - 物理学与社会 quant-ph - 量子物理 stat.AP - 应用统计 stat.CO - 统计计算 stat.ME - 统计方法论 stat.ML - (统计)机器学习
• [cs.AI]A context-aware knowledge acquisition for planning applications using ontologies
• [cs.AI]Learning the Right Expansion-ordering Heuristics for Satisfiability Testing in OWL Reasoners
• [cs.AI]Preference-based Multiobjective Virtual Machine Placement: A Ceteris Paribus Approach
• [cs.AI]Reward Potentials for Planning with Learned Neural Network Transition Models
• [cs.AI]Specification-Driven Predictive Business Process Monitoring
• [cs.AR]Energy-Efficient Runtime Adaptable L1 STT-RAM Cache Design
• [cs.CL]BERTScore: Evaluating Text Generation with BERT
• [cs.CL]Constant-Time Machine Translation with Conditional Masked Language Models
• [cs.CL]Dynamic Past and Future for Neural Machine Translation
• [cs.CL]Energy-based Self-attentive Learning of Abstractive Communities for Spoken Language Understanding
• [cs.CL]Exploring Unsupervised Pretraining and Sentence Structure Modelling for Winograd Schema Challenge
• [cs.CL]Fact Discovery from Knowledge Base via Facet Decomposition
• [cs.CL]Few-shot NLG with Pre-trained Language Model
• [cs.CL]Good-Enough Compositional Data Augmentation
• [cs.CL]Improving Multi-Task Deep Neural Networks via Knowledge Distillation for Natural Language Understanding
• [cs.CL]Judging Chemical Reaction Practicality From Positive Sample only Learning
• [cs.CL]Language Models with Transformers
• [cs.CL]Looking Beyond Label Noise: Shifted Label Distribution Matters in Distantly Supervised Relation Extraction
• [cs.CL]Model Compression with Multi-Task Knowledge Distillation for Web-scale Question Answering System
• [cs.CL]NeuronBlocks — Building Your NLP DNN Models Like Playing Lego
• [cs.CL]Obfuscation for Privacy-preserving Syntactic Parsing
• [cs.CL]Personalized sentence generation using generative adversarial networks with author-specific word usage
• [cs.CL]Probing Prior Knowledge Needed in Challenging Chinese Machine Reading Comprehension
• [cs.CL]PullNet: Open Domain Question Answering with Iterative Retrieval on Knowledge Bases and Text
• [cs.CL]Repurposing Entailment for Multi-Hop Question Answering Tasks
• [cs.CL]Robust Argument Unit Recognition and Classification
• [cs.CL]Self-imitating Feedback Generation Using GAN for Computer-Assisted Pronunciation Training
• [cs.CL]SocialIQA: Commonsense Reasoning about Social Interactions
• [cs.CL]Tetra-Tagging: Word-Synchronous Parsing with Linear-Time Inference
• [cs.CL]The Curious Case of Neural Text Degeneration
• [cs.CL]Understanding Roles and Entities: Datasets and Models for Natural Language Inference
• [cs.CL]Understanding Stability of Medical Concept Embeddings: Analysis and Prediction
• [cs.CL]UniSent: Universal Adaptable Sentiment Lexica for 1000+ Languages
• [cs.CL]Unsupervised Text Generation from Structured Data
• [cs.CL]Weakly-Supervised Concept-based Adversarial Learning for Cross-lingual Word Embeddings
• [cs.CR]Auditable Blockchain Randomization Tool
• [cs.CR]Can Machine Learning Model with Static Features be Fooled: an Adversarial Machine Learning Approach
• [cs.CR]Performance and Resilience of Cyber-Physical Control Systems with Reactive Attack Mitigation
• [cs.CR]Providing Confidential Cloud-based Fall Detection from Remote Sensor Data Using Multi-Party Computation
• [cs.CV]2D3D-MatchNet: Learning to Match Keypoints Across 2D Image and 3D Point Cloud
• [cs.CV]3G structure for image caption generation
• [cs.CV]A Differential Approach for Gaze Estimation
• [cs.CV]A Simple Pooling-Based Design for Real-Time Salient Object Detection
• [cs.CV]An Energy and GPU-Computation Efficient Backbone Network for Real-Time Object Detection
• [cs.CV]An image structure model for exact edge detection
• [cs.CV]Assessing Architectural Similarity in Populations of Deep Neural Networks
• [cs.CV]Attention Augmented Convolutional Networks
• [cs.CV]Automatic Temporally Coherent Video Colorization
• [cs.CV]ChoiceNet: CNN learning through choice of multiple feature map representations
• [cs.CV]City-scale Road Extraction from Satellite Imagery
• [cs.CV]Compact Scene Graphs for Layout Composition and Patch Retrieval
• [cs.CV]Complete Scene Reconstruction by Merging Images and Laser Scans
• [cs.CV]Context-Aware Zero-Shot Recognition
• [cs.CV]Cubic LSTMs for Video Prediction
• [cs.CV]Data-Driven Neuron Allocation for Scale Aggregation Networks
• [cs.CV]Deep Anchored Convolutional Neural Networks
• [cs.CV]Deep Hough Voting for 3D Object Detection in Point Clouds
• [cs.CV]Deep Metric Learning Beyond Binary Supervision
• [cs.CV]DeepCaps: Going Deeper with Capsule Networks
• [cs.CV]Detecting retail products in situ using CNN without human effort labeling
• [cs.CV]FACLSTM: ConvLSTM with Focused Attention for Scene Text Recognition
• [cs.CV]Facial Expression Recognition Research Based on Deep Learning
• [cs.CV]Facial Feature Embedded CycleGAN for VIS-NIR Translation
• [cs.CV]Fast User-Guided Video Object Segmentation by Interaction-and-Propagation Networks
• [cs.CV]FeatherNets: Convolutional Neural Networks as Light as Feather for Face Anti-spoofing
• [cs.CV]FishNet: A Camera Localizer using Deep Recurrent Networks
• [cs.CV]FoxNet: A Multi-face Alignment Method
• [cs.CV]Funnel Transform for Straight Line Detection
• [cs.CV]GestARLite: An On-Device Pointing Finger Based Gestural Interface for Smartphones and Video See-Through Head-Mounts
• [cs.CV]LEARNet Dynamic Imaging Network for Micro Expression Recognition
• [cs.CV]Late or Earlier Information Fusion from Depth and Spectral Data? Large-Scale Digital Surface Model Refinement by Hybrid-cGAN
• [cs.CV]Learning to Calibrate Straight Lines for Fisheye Image Rectification
• [cs.CV]Local Deep-Feature Alignment for Unsupervised Dimension Reduction
• [cs.CV]Machine Learning Based Analysis of Finnish World War II Photographers
• [cs.CV]Metric Learning for Image Registration
• [cs.CV]MiniMax Entropy Network: Learning Category-Invariant Features for Domain Adaptation
• [cs.CV]Multi-modal gated recurrent units for image description
• [cs.CV]NLP Driven Ensemble Based Automatic Subtitle Generation and Semantic Video Summarization Technique
• [cs.CV]Neural Architecture Search for Deep Face Recognition
• [cs.CV]PCAN: 3D Attention Map Learning Using Contextual Information for Point Cloud Based Retrieval
• [cs.CV]Probabilistic Face Embeddings
• [cs.CV]Real-time Intent Prediction of Pedestrians for Autonomous Ground Vehicles via Spatio-Temporal DenseNet
• [cs.CV]STGAN: A Unified Selective Transfer Network for Arbitrary Image Attribute Editing
• [cs.CV]Saliency-Guided Attention Network for Image-Sentence Matching
• [cs.CV]Semantic Relationships Guided Representation Learning for Facial Action Unit Recognition
• [cs.CV]Ship Instance Segmentation From Remote Sensing Images Using Sequence Local Context Module
• [cs.CV]Social Ways: Learning Multi-Modal Distributions of Pedestrian Trajectories with GANs
• [cs.CV]Stochastic Region Pooling: Make Attention More Expressive
• [cs.CV]Superquadrics Revisited: Learning 3D Shape Parsing beyond Cuboids
• [cs.CV]Switchable Whitening for Deep Representation Learning
• [cs.CV]Synaptic Partner Assignment Using Attentional Voxel Association Networks
• [cs.CV]Towards Learning of Filter-Level Heterogeneous Compression of Convolutional Neural Networks
• [cs.CV]TransGaGa: Geometry-Aware Unsupervised Image-to-Image Translation
• [cs.CV]Tripping through time: Efficient Localization of Activities in Videos
• [cs.CV]Video Object Segmentation and Tracking: A Survey
• [cs.CV]Water-Filling: An Efficient Algorithm for Digitized Document Shadow Removal
• [cs.CV]You2Me: Inferring Body Pose in Egocentric Video via First and Second Person Interactions
• [cs.CV]blessing in disguise: Designing Robust Turing Test by Employing Algorithm Unrobustness
• [cs.CY]Apps, Places and People: strategies, limitations and trade-offs in the physical and digital worlds
• [cs.CY]Health Behaviour Change Techniques in Diabetes Management Applications: A Systematic Review
• [cs.DB]CleanML: A Benchmark for Joint Data Cleaning and Machine Learning [Experiments and Analysis]
• [cs.DB]Mining Rules Incrementally over Large Knowledge Bases
• [cs.DC]A Blockchain-based Decentralized Self-balancing Architecture for the Web of Things
• [cs.DC]Optimal Load Allocation for Coded Distributed Computation in Heterogeneous Clusters
• [cs.DC]Scalable, Secure and Broad-Spectrum Enforcement of Contracts, Without Blockchains
• [cs.DC]Storing and Querying Large-Scale Spatio-Temporal Graphs with High-Throughput Edge Insertions
• [cs.DC]Structural Self-adaptation for Decentralized Pervasive Intelligence
• [cs.DS]Low-Rank Approximation from Communication Complexity
• [cs.DS]Submodular Maximization Beyond Non-negativity: Guarantees, Fast Algorithms, and Applications
• [cs.DS]Trace Reconstruction: Generalized and Parameterized
• [cs.HC]Unremarkable AI: Fitting Intelligent Decision Support into Critical, Clinical Decision-Making Processes
• [cs.IR]A Study on Agreement in PICO Span Annotations
• [cs.IR]Integrating Association Rules with Decision Trees in Object-Relational Databases
• [cs.IT]Communication for Generating Correlation: A Survey
• [cs.IT]Coordinated Nonorthogonal Pilot Design for Massive MIMO
• [cs.IT]Enabling Secure Wireless Communications via Intelligent Reflecting Surfaces
• [cs.IT]Exact Sparse Signal Recovery via Orthogonal Matching Pursuit with Prior Information
• [cs.IT]Improved Upper Bounds on the Hermite and KZ Constants
• [cs.IT]Interval Algorithm for Random Number Generation: Information Spectrum Approach
• [cs.IT]Linear codes over signed graphs
• [cs.IT]On Detection of Critical Events in a Finite Forest using Randomly Deployed Wireless Sensors
• [cs.IT]On Hybrid MoSK-CSK Modulation based Molecular Communication: Error Rate Performance Analysis using Stochastic Geometry
• [cs.IT]On the Sum-Rate Capacity of Poisson Multiple Access Channel with Non-Perfect Photon-Counting Receiver
• [cs.IT]Steepest Gradient-Based Orthogonal Precoder For Integer-Forcing MIMO
• [cs.IT]The estimation performance of nonlinear least squares for phase retrieval
• [cs.LG]Adversarial Dropout for Recurrent Neural Networks
• [cs.LG]Beyond Explainability: Leveraging Interpretability for Improved Adversarial Learning
• [cs.LG]Challenges and Prospects in Vision and Language Research
• [cs.LG]Compositional generalization in a deep seq2seq model by separating syntax and semantics
• [cs.LG]Compression and Localization in Reinforcement Learning for ATARI Games
• [cs.LG]DDGK: Learning Graph Representations for Deep Divergence Graph Kernels
• [cs.LG]Deep Learning for Large-Scale Real-World ACARS and ADS-B Radio Signal Classification
• [cs.LG]Derivative-Free Global Optimization Algorithms: Bayesian Method and Lipschitzian Approaches
• [cs.LG]Derivative-Free Global Optimization Algorithms: Population based Methods and Random Search Approaches
• [cs.LG]Distributed generation of privacy preserving data with user customization
• [cs.LG]Explaining a prediction in some nonlinear models
• [cs.LG]GAN-based Generation and Automatic Selection of Explanations for Neural Networks
• [cs.LG]Gender specific and Age dependent classification model for improved diagnosis in Parkinson’s disease
• [cs.LG]Generative Exploration and Exploitation
• [cs.LG]HCFContext: Smartphone Context Inference via Sequential History-based Collaborative Filtering
• [cs.LG]Identifying Points of Interest and Similar Individuals from Raw GPS Data
• [cs.LG]Intermittent Learning: On-Device Machine Learning on Intermittently Powered System
• [cs.LG]LIBS2ML: A Library for Scalable Second Order Machine Learning Algorithms
• [cs.LG]Learning gradient-based ICA by neurally estimating mutual information
• [cs.LG]Linear Multiple Low-Rank Kernel Based Stationary Gaussian Processes Regression for Time Series
• [cs.LG]Meta-Weighted Gaussian Process Experts for Personalized Forecasting of AD Cognitive Changes
• [cs.LG]Minimax Optimal Online Stochastic Learning for Sequences of Convex Functions under Sub-Gradient Observation Failures
• [cs.LG]Model-free Deep Reinforcement Learning for Urban Autonomous Driving
• [cs.LG]PLUME: Polyhedral Learning Using Mixture of Experts
• [cs.LG]Reliable Weakly Supervised Learning: Maximize Gain and Maintain Safeness
• [cs.LG]Solution of Definite Integrals using Functional Link Artificial Neural Networks
• [cs.LG]Tracking and Improving Information in the Service of Fairness
• [cs.LG]Training generative networks using random discriminators
• [cs.LG]Waterfall Bandits: Learning to Sell Ads Online
• [cs.LO]Cut-free Calculi and Relational Semantics for Temporal STIT Logics
• [cs.MA]Foundation for Genuine Global Identities
• [cs.NE]A new insight into the Position Optimization of Wave Energy Converters by a Hybrid Local Search
• [cs.NE]Algorithm Portfolio for Individual-based Surrogate-Assisted Evolutionary Algorithms
• [cs.NE]Continual Learning with Self-Organizing Maps
• [cs.NE]Donkey and Smuggler Optimization Algorithm: A Collaborative Working Approach to Path Finding
• [cs.NI]A Novel QoE-Aware SDN-enabled, NFV-based Management Architecture for Future Multimedia Applications on 5G Systems
• [cs.PF]A mechanism for balancing accuracy and scope in cross-machine black-box GPU performance modeling
• [cs.PL]Optimization + Abstraction: A Synergistic Approach for Analyzing Neural Network Robustness
• [cs.RO]Active Adversarial Evader Tracking with a Probabilistic Pursuer under the Pursuit-Evasion Game Framework
• [cs.RO]Inducing Multi-Convexity in Path Constrained Trajectory Optimization for Mobile Manipulators
• [cs.RO]Learning Manipulation under Physics Constraints with Visual Perception
• [cs.RO]Qualitative and Quantitative Risk Analysis and Safety Assessment of Unmanned Aerial Vehicles Missions over the Internet
• [cs.RO]Safety experiments for small robots investigating the potential of soft materials in mitigating the harm to the head due to impacts
• [cs.SD]hf0: A hybrid pitch extraction method for multimodal voice
• [cs.SE]One DSL to Rule Them All: IDE-Assisted Code Generation for Agile Data Analysis
• [cs.SI]A Fast and Efficient Incremental Approach toward Dynamic Community Detection
• [cs.SY]Learning Sparse Dynamical Systems from a Single Sample Trajectory
• [econ.EM]Average Density Estimators: Efficiency and Bootstrap Consistency
• [eess.IV]LORAKI: Autocalibrated Recurrent Neural Networks for Autoregressive MRI Reconstruction in k-Space
• [eess.IV]Non-local Attention Optimized Deep Image Compression
• [eess.SP]Analysis and Design of Robust Max Consensus for Wireless Sensor Networks
• [eess.SP]Deep Learning for Physical-Layer 5G Wireless Techniques: Opportunities, Challenges and Solutions
• [eess.SP]Recovery of the fetal electrocardiogram for morphological analysis from two trans-abdominal channels via optimal shrinkage
• [eess.SP]Revisiting Multi-Step Nonlinearity Compensation with Machine Learning
• [math.OC]Provable Bregman-divergence based Methods for Nonconvex and Non-Lipschitz Problems
• [math.OC]Stability Analysis for a Class of Sparse Optimization Problems
• [math.ST]Achieving the Bayes Error Rate in Synchronization and Block Models by SDP, Robustly
• [math.ST]Estimating Sparse Networks with Hubs
• [math.ST]Gaussian Process Regression and Classification under Mathematical Constraints with Learning Guarantees
• [math.ST]Inference of synchrosqueezing transform — toward a unified statistical analysis of nonlinear-type time-frequency analysis
• [math.ST]Note on Mean Vector Testing for High-Dimensional Dependent Observations
• [math.ST]On Parameter Estimation of the Hidden Gaussian Process in perturbed SDE
• [math.ST]Optimal Adaptivity of Signed-Polygon Statistics for Network Testing
• [math.ST]Particle filter efficiency under limited communication
• [math.ST]Simultaneous Estimation of Poisson Parameters
• [math.ST]Unbiased Multilevel Monte Carlo: Stochastic Optimization, Steady-state Simulation, Quantiles, and Other Applications
• [physics.comp-ph]DeepMoD: Deep learning for Model Discovery in noisy data
• [physics.soc-ph]Generalized Markov stability of network communities
• [quant-ph]Efficient Online Quantum Generative Adversarial Learning Algorithms with Applications
• [stat.AP]High Dimensional Process Monitoring Using Robust Sparse Probabilistic Principal Component Analysis
• [stat.AP]Latent Feature Extraction for Process Data via Multidimensional Scaling
• [stat.AP]Measuring and Assessing Latent Variation in Alliance Design and Objectives
• [stat.AP]Radiogenomics models in precision radiotherapy: from mechanistic to machine learning
• [stat.CO]Kriging in Tensor Train data format
• [stat.ME]Assessing Modeling Variability in Autonomous Vehicle Accelerated Evaluation
• [stat.ME]Is infinity that far? A Bayesian nonparametric perspective of finite mixture models
• [stat.ME]Partial Correlations in Compositional Data Analysis
• [stat.ME]Stationary subspace analysis of nonstationary covariance processes: eigenstructure description and testing
• [stat.ME]Total Variation Regularized Fréchet Regression for Metric-Space Valued Data
• [stat.ML]A General Neural Network Architecture for Persistence Diagrams and Graph Classification
• [stat.ML]A Unified Framework for Structured Graph Learning via Spectral Constraints
• [stat.ML]Continuous-Time Birth-Death MCMC for Bayesian Regression Tree Models
• [stat.ML]Mesh Learning Using Persistent Homology on the Laplacian Eigenfunctions
• [stat.ML]On Learning Non-Convergent Short-Run MCMC Toward Energy-Based Model
• [stat.ML]TiK-means: $K$-means clustering for skewed groups
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• [cs.AI]A context-aware knowledge acquisition for planning applications using ontologies
Mohannad Babli, Eva Onaindia
http://arxiv.org/abs/1904.09845v1
• [cs.AI]Learning the Right Expansion-ordering Heuristics for Satisfiability Testing in OWL Reasoners
Razieh Mehri, Volker Haarslev, Hamidreza Chinaei
http://arxiv.org/abs/1904.09443v1
• [cs.AI]Preference-based Multiobjective Virtual Machine Placement: A Ceteris Paribus Approach
Abdulaziz Alashaikh, Eisa Alanazi
http://arxiv.org/abs/1904.09477v1
• [cs.AI]Reward Potentials for Planning with Learned Neural Network Transition Models
Buser Say, Scott Sanner, Sylvie Thiébaux
http://arxiv.org/abs/1904.09366v1
• [cs.AI]Specification-Driven Predictive Business Process Monitoring
Ario Santoso, Michael Felderer
http://arxiv.org/abs/1904.09422v1
• [cs.AR]Energy-Efficient Runtime Adaptable L1 STT-RAM Cache Design
Kyle Kuan, Tosiron Adegbija
http://arxiv.org/abs/1904.09363v1
• [cs.CL]BERTScore: Evaluating Text Generation with BERT
Tianyi Zhang, Varsha Kishore, Felix Wu, Kilian Q. Weinberger, Yoav Artzi
http://arxiv.org/abs/1904.09675v1
• [cs.CL]Constant-Time Machine Translation with Conditional Masked Language Models
Marjan Ghazvininejad, Omer Levy, Yinhan Liu, Luke Zettlemoyer
http://arxiv.org/abs/1904.09324v1
• [cs.CL]Dynamic Past and Future for Neural Machine Translation
Zaixiang Zheng, Shujian Huang, Zhaopeng Tu, Xin-Yu Dai, Jiajun Chen
http://arxiv.org/abs/1904.09646v1
• [cs.CL]Energy-based Self-attentive Learning of Abstractive Communities for Spoken Language Understanding
Guokan Shang, Antoine Jean-Pierre Tixier, Michalis Vazirgiannis, Jean-Pierre Lorré
http://arxiv.org/abs/1904.09491v1
• [cs.CL]Exploring Unsupervised Pretraining and Sentence Structure Modelling for Winograd Schema Challenge
Yu-Ping Ruan, Xiaodan Zhu, Zhen-Hua Ling, Zhan Shi, Quan Liu, Si Wei
http://arxiv.org/abs/1904.09705v1
• [cs.CL]Fact Discovery from Knowledge Base via Facet Decomposition
Zihao Fu, Yankai Lin, Zhiyuan Liu, Wai Lam
http://arxiv.org/abs/1904.09540v1
• [cs.CL]Few-shot NLG with Pre-trained Language Model
Zhiyu Chen, Harini Eavani, Yinyin Liu, William Yang Wang
http://arxiv.org/abs/1904.09521v1
• [cs.CL]Good-Enough Compositional Data Augmentation
Jacob Andreas
http://arxiv.org/abs/1904.09545v1
• [cs.CL]Improving Multi-Task Deep Neural Networks via Knowledge Distillation for Natural Language Understanding
Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao
http://arxiv.org/abs/1904.09482v1
• [cs.CL]Judging Chemical Reaction Practicality From Positive Sample only Learning
Shu Jiang, Zhuosheng Zhang, Hai Zhao, Jiangtong Li, Yang Yang, Bao-Liang Lu, Ning Xia
http://arxiv.org/abs/1904.09824v1
• [cs.CL]Language Models with Transformers
Chenguang Wang, Mu Li, Alexander J. Smola
http://arxiv.org/abs/1904.09408v1
• [cs.CL]Looking Beyond Label Noise: Shifted Label Distribution Matters in Distantly Supervised Relation Extraction
Maosen Zhang, Qinyuan Ye, Liyuan Liu, Xiang Ren
http://arxiv.org/abs/1904.09331v1
• [cs.CL]Model Compression with Multi-Task Knowledge Distillation for Web-scale Question Answering System
Ze Yang, Linjun Shou, Ming Gong, Wutao Lin, Daxin Jiang
http://arxiv.org/abs/1904.09636v1
• [cs.CL]NeuronBlocks — Building Your NLP DNN Models Like Playing Lego
Ming Gong, Linjun Shou, Wutao Lin, Zhijie Sang, Quanjia Yan, Ze Yang, Daxin Jiang
http://arxiv.org/abs/1904.09535v1
• [cs.CL]Obfuscation for Privacy-preserving Syntactic Parsing
Zhifeng Hu, Serhii Havrylov, Ivan Titov, Shay B. Cohen
http://arxiv.org/abs/1904.09585v1
• [cs.CL]Personalized sentence generation using generative adversarial networks with author-specific word usage
Chenhan Yuan, Yi-Chin Huang
http://arxiv.org/abs/1904.09442v1
• [cs.CL]Probing Prior Knowledge Needed in Challenging Chinese Machine Reading Comprehension
Kai Sun, Dian Yu, Dong Yu, Claire Cardie
http://arxiv.org/abs/1904.09679v1
• [cs.CL]PullNet: Open Domain Question Answering with Iterative Retrieval on Knowledge Bases and Text
Haitian Sun, Tania Bedrax-Weiss, William W. Cohen
http://arxiv.org/abs/1904.09537v1
• [cs.CL]Repurposing Entailment for Multi-Hop Question Answering Tasks
Harsh Trivedi, Heeyoung Kwon, Tushar Khot, Ashish Sabharwal, Niranjan Balasubramanian
http://arxiv.org/abs/1904.09380v1
• [cs.CL]Robust Argument Unit Recognition and Classification
Dietrich Trautmann, Johannes Daxenberger, Christian Stab, Hinrich Schütze, Iryna Gurevych
http://arxiv.org/abs/1904.09688v1
• [cs.CL]Self-imitating Feedback Generation Using GAN for Computer-Assisted Pronunciation Training
Seung Hee Yang, Minhwa Chung
http://arxiv.org/abs/1904.09407v1
• [cs.CL]SocialIQA: Commonsense Reasoning about Social Interactions
Maarten Sap, Hannah Rashkin, Derek Chen, Ronan LeBras, Yejin Choi
http://arxiv.org/abs/1904.09728v1
• [cs.CL]Tetra-Tagging: Word-Synchronous Parsing with Linear-Time Inference
Nikita Kitaev, Dan Klein
http://arxiv.org/abs/1904.09745v1
• [cs.CL]The Curious Case of Neural Text Degeneration
Ari Holtzman, Jan Buys, Maxwell Forbes, Yejin Choi
http://arxiv.org/abs/1904.09751v1
• [cs.CL]Understanding Roles and Entities: Datasets and Models for Natural Language Inference
Arindam Mitra, Ishan Shrivastava, Chitta Baral
http://arxiv.org/abs/1904.09720v1
• [cs.CL]Understanding Stability of Medical Concept Embeddings: Analysis and Prediction
Grace E. Lee, Aixin Sun
http://arxiv.org/abs/1904.09552v1
• [cs.CL]UniSent: Universal Adaptable Sentiment Lexica for 1000+ Languages
Ehsaneddin Asgari, Fabienne Braune, Christoph Ringlstetter, Mohammad R. K. Mofrad
http://arxiv.org/abs/1904.09678v1
• [cs.CL]Unsupervised Text Generation from Structured Data
Martin Schmitt, Hinrich Schütze
http://arxiv.org/abs/1904.09447v1
• [cs.CL]Weakly-Supervised Concept-based Adversarial Learning for Cross-lingual Word Embeddings
Haozhou Wang, James Henderson, Paola Merlo
http://arxiv.org/abs/1904.09446v1
• [cs.CR]Auditable Blockchain Randomization Tool
Olivia Saa, Julio Michael Stern
http://arxiv.org/abs/1904.09500v1
• [cs.CR]Can Machine Learning Model with Static Features be Fooled: an Adversarial Machine Learning Approach
Rahim Taheri, Reza Javidan, Mohammad Shojafar, Vinod P, Mauro Conti
http://arxiv.org/abs/1904.09433v1
• [cs.CR]Performance and Resilience of Cyber-Physical Control Systems with Reactive Attack Mitigation
Subhash Lakshminarayana, Jabir Shabbir Karachiwala, Teo Zhan Teng, Rui Tan, David K. Y. Yau
http://arxiv.org/abs/1904.09445v1
• [cs.CR]Providing Confidential Cloud-based Fall Detection from Remote Sensor Data Using Multi-Party Computation
Pradip Mainali, Carlton Shepherd
http://arxiv.org/abs/1904.09896v1
• [cs.CV]2D3D-MatchNet: Learning to Match Keypoints Across 2D Image and 3D Point Cloud
Mengdan Feng, Sixing Hu, Marcelo Ang, Gim Hee Lee
http://arxiv.org/abs/1904.09742v1
• [cs.CV]3G structure for image caption generation
Aihong Yuan, Xuelong Li, Xiaoqiang Lu
http://arxiv.org/abs/1904.09544v1
• [cs.CV]A Differential Approach for Gaze Estimation
Gang Liu, Yu Yu, Kenneth A. Funes Mora, Jean-Marc Odobez
http://arxiv.org/abs/1904.09459v1
• [cs.CV]A Simple Pooling-Based Design for Real-Time Salient Object Detection
Jiang-Jiang Liu, Qibin Hou, Ming-Ming Cheng, Jiashi Feng, Jianmin Jiang
http://arxiv.org/abs/1904.09569v1
• [cs.CV]An Energy and GPU-Computation Efficient Backbone Network for Real-Time Object Detection
Youngwan Lee, Joong-won Hwang, Sangrok Lee, Yuseok Bae, Jongyoul Park
http://arxiv.org/abs/1904.09730v1
• [cs.CV]An image structure model for exact edge detection
Alessandro Dal Palu’
http://arxiv.org/abs/1904.09659v1
• [cs.CV]Assessing Architectural Similarity in Populations of Deep Neural Networks
Audrey Chung, Paul Fieguth, Alexander Wong
http://arxiv.org/abs/1904.09879v1
• [cs.CV]Attention Augmented Convolutional Networks
Irwan Bello, Barret Zoph, Ashish Vaswani, Jonathon Shlens, Quoc V. Le
http://arxiv.org/abs/1904.09925v1
• [cs.CV]Automatic Temporally Coherent Video Colorization
Harrish Thasarathan, Kamyar Nazeri, Mehran Ebrahimi
http://arxiv.org/abs/1904.09527v1
• [cs.CV]ChoiceNet: CNN learning through choice of multiple feature map representations
Farshid Rayhan, Aphrodite Galata, Timothy F. Cootes
http://arxiv.org/abs/1904.09472v1
• [cs.CV]City-scale Road Extraction from Satellite Imagery
Adam Van Etten
http://arxiv.org/abs/1904.09901v1
• [cs.CV]Compact Scene Graphs for Layout Composition and Patch Retrieval
Subarna Tripathi, Sharath Nittur Sridhar, Sairam Sundaresan, Hanlin Tang
http://arxiv.org/abs/1904.09348v1
• [cs.CV]Complete Scene Reconstruction by Merging Images and Laser Scans
Xiang Gao, Shuhan Shen, Lingjie Zhu, Tianxin Shi, Zhiheng Wang, Zhanyi Hu
http://arxiv.org/abs/1904.09568v1
• [cs.CV]Context-Aware Zero-Shot Recognition
Ruotian Luo, Ning Zhang, Bohyung Han, Linjie Yang
http://arxiv.org/abs/1904.09320v1
• [cs.CV]Cubic LSTMs for Video Prediction
Hehe Fan, Linchao Zhu, Yi Yang
http://arxiv.org/abs/1904.09412v1
• [cs.CV]Data-Driven Neuron Allocation for Scale Aggregation Networks
Yi Li, Zhanghui Kuang, Yimin Chen, Wayne Zhang
http://arxiv.org/abs/1904.09460v1
• [cs.CV]Deep Anchored Convolutional Neural Networks
Jiahui Huang, Kshitij Dwivedi, Gemma Roig
http://arxiv.org/abs/1904.09764v1
• [cs.CV]Deep Hough Voting for 3D Object Detection in Point Clouds
Charles R. Qi, Or Litany, Kaiming He, Leonidas J. Guibas
http://arxiv.org/abs/1904.09664v1
• [cs.CV]Deep Metric Learning Beyond Binary Supervision
Sungyeon Kim, Minkyo Seo, Ivan Laptev, Minsu Cho, Suha Kwak
http://arxiv.org/abs/1904.09626v1
• [cs.CV]DeepCaps: Going Deeper with Capsule Networks
Jathushan Rajasegaran, Vinoj Jayasundara, Sandaru Jayasekara, Hirunima Jayasekara, Suranga Seneviratne, Ranga Rodrigo
http://arxiv.org/abs/1904.09546v1
• [cs.CV]Detecting retail products in situ using CNN without human effort labeling
Wei Yi, Yaoran Sun, Tao Ding, Sailing He
http://arxiv.org/abs/1904.09781v1
• [cs.CV]FACLSTM: ConvLSTM with Focused Attention for Scene Text Recognition
Qingqing Wang, Wenjing Jia, Xiangjian He, Yue Lu, Michael Blumenstein, Ye Huang
http://arxiv.org/abs/1904.09405v1
• [cs.CV]Facial Expression Recognition Research Based on Deep Learning
Yongpei Zhu, Hongwei Fan, Kehong Yuan
http://arxiv.org/abs/1904.09737v1
• [cs.CV]Facial Feature Embedded CycleGAN for VIS-NIR Translation
Huijiao Wang, Li Wang, Xulei Yang, Lei Yu, Haijian Zhang
http://arxiv.org/abs/1904.09464v1
• [cs.CV]Fast User-Guided Video Object Segmentation by Interaction-and-Propagation Networks
Seoung Wug Oh, Joon-Young Lee, Ning Xu, Seon Joo Kim
http://arxiv.org/abs/1904.09791v1
• [cs.CV]FeatherNets: Convolutional Neural Networks as Light as Feather for Face Anti-spoofing
Peng Zhang, Fuhao Zou, Zhiwen Wu, Nengli Dai, Skarpness Mark, Michael Fu, Juan Zhao, Kai Li
http://arxiv.org/abs/1904.09290v1
• [cs.CV]FishNet: A Camera Localizer using Deep Recurrent Networks
Hsin-I Chen, Sebastian Agethen, Chiamin Wu, Winston Hsu, Bing-Yu Chen
http://arxiv.org/abs/1904.09722v1
• [cs.CV]FoxNet: A Multi-face Alignment Method
Yuxiang Wu, Zehua Cheng, Bin Huang, Yiming Chen, Kele Xu, Weiyang Wang
http://arxiv.org/abs/1904.09758v1
• [cs.CV]Funnel Transform for Straight Line Detection
QianRu Wei, DaZheng Feng, WeiXing Zheng
http://arxiv.org/abs/1904.09409v1
• [cs.CV]GestARLite: An On-Device Pointing Finger Based Gestural Interface for Smartphones and Video See-Through Head-Mounts
Varun Jain, Gaurav Garg, Ramakrishna Perla, Ramya Hebbalaguppe
http://arxiv.org/abs/1904.09843v1
• [cs.CV]LEARNet Dynamic Imaging Network for Micro Expression Recognition
Monu Verma, Santosh Kumar Vipparthi, Girdhari Singh, Subrahmanyam Murala
http://arxiv.org/abs/1904.09410v1
• [cs.CV]Late or Earlier Information Fusion from Depth and Spectral Data? Large-Scale Digital Surface Model Refinement by Hybrid-cGAN
Ksenia Bittner, Marco Körner, Peter Reinartz
http://arxiv.org/abs/1904.09935v1
• [cs.CV]Learning to Calibrate Straight Lines for Fisheye Image Rectification
Zhucun Xue, Nan Xue, Gui-Song Xia, Weiming Shen
http://arxiv.org/abs/1904.09856v1
• [cs.CV]Local Deep-Feature Alignment for Unsupervised Dimension Reduction
Jian Zhang, Jun Yu, Dacheng Tao
http://arxiv.org/abs/1904.09747v1
• [cs.CV]Machine Learning Based Analysis of Finnish World War II Photographers
Kateryna Chumachenko, Anssi Männistö, Alexandros Iosifidis, Jenni Raitoharju
http://arxiv.org/abs/1904.09811v1
• [cs.CV]Metric Learning for Image Registration
Marc Niethammer, Roland Kwitt, Francois-Xavier Vialard
http://arxiv.org/abs/1904.09524v1
• [cs.CV]MiniMax Entropy Network: Learning Category-Invariant Features for Domain Adaptation
Chaofan Tao, Fengmao Lv, Lixin Duan, Min Wu
http://arxiv.org/abs/1904.09601v1
• [cs.CV]Multi-modal gated recurrent units for image description
Xuelong Li, Aihong Yuan, Xiaoqiang Lu
http://arxiv.org/abs/1904.09421v1
• [cs.CV]NLP Driven Ensemble Based Automatic Subtitle Generation and Semantic Video Summarization Technique
VB Aswin, Mohammed Javed, Parag Parihar, K Aswanth, CR Druval, Anpam Dagar, CV Aravinda
http://arxiv.org/abs/1904.09740v1
• [cs.CV]Neural Architecture Search for Deep Face Recognition
Ning Zhu, Xiaolong Bai
http://arxiv.org/abs/1904.09523v1
• [cs.CV]PCAN: 3D Attention Map Learning Using Contextual Information for Point Cloud Based Retrieval
Wenxiao Zhang, Chunxia Xiao
http://arxiv.org/abs/1904.09793v1
• [cs.CV]Probabilistic Face Embeddings
Yichun Shi, Anil K. Jain, Nathan D. Kalka
http://arxiv.org/abs/1904.09658v1
• [cs.CV]Real-time Intent Prediction of Pedestrians for Autonomous Ground Vehicles via Spatio-Temporal DenseNet
Khaled Saleh, Mohammed Hossny, Saeid Nahavandi
http://arxiv.org/abs/1904.09862v1
• [cs.CV]STGAN: A Unified Selective Transfer Network for Arbitrary Image Attribute Editing
Ming Liu, Yukang Ding, Min Xia, Xiao Liu, Errui Ding, Wangmeng Zuo, Shilei Wen
http://arxiv.org/abs/1904.09709v1
• [cs.CV]Saliency-Guided Attention Network for Image-Sentence Matching
Zhong Ji, Haoran Wang, Jungong Han, Yanwei Pang
http://arxiv.org/abs/1904.09471v1
• [cs.CV]Semantic Relationships Guided Representation Learning for Facial Action Unit Recognition
Guanbin Li, Xin Zhu, Yirui Zeng, Qing Wang, Liang Lin
http://arxiv.org/abs/1904.09939v1
• [cs.CV]Ship Instance Segmentation From Remote Sensing Images Using Sequence Local Context Module
Yingchao Feng, Wenhui Diao, Zhonghan Chang, Menglong Yan, Xian Sun, Xin Gao
http://arxiv.org/abs/1904.09823v1
• [cs.CV]Social Ways: Learning Multi-Modal Distributions of Pedestrian Trajectories with GANs
Javad Amirian, Jean-Bernard Hayet, Julien Pettre
http://arxiv.org/abs/1904.09507v1
• [cs.CV]Stochastic Region Pooling: Make Attention More Expressive
Mingnan Luo, Guihua Wen, Yang Hu, Dan Dai, Yingxue Xu
http://arxiv.org/abs/1904.09853v1
• [cs.CV]Superquadrics Revisited: Learning 3D Shape Parsing beyond Cuboids
Despoina Paschalidou, Ali Osman Ulusoy, Andreas Geiger
http://arxiv.org/abs/1904.09970v1
• [cs.CV]Switchable Whitening for Deep Representation Learning
Xingang Pan, Xiaohang Zhan, Jianping Shi, Xiaoou Tang, Ping Luo
http://arxiv.org/abs/1904.09739v1
• [cs.CV]Synaptic Partner Assignment Using Attentional Voxel Association Networks
Nicholas Turner, Kisuk Lee, Ran Lu, Jingpeng Wu, Dodam Ih, H. Sebastian Seung
http://arxiv.org/abs/1904.09947v1
• [cs.CV]Towards Learning of Filter-Level Heterogeneous Compression of Convolutional Neural Networks
Yochai Zur, Chaim Baskin, Evgenii Zheltonozhskii, Brian Chmiel, Itay Evron, Alex M. Bronstein
http://arxiv.org/abs/1904.09872v1
• [cs.CV]TransGaGa: Geometry-Aware Unsupervised Image-to-Image Translation
Wayne Wu, Kaidi Cao, Cheng Li, Chen Qian, Chen Change Loy
http://arxiv.org/abs/1904.09571v1
• [cs.CV]Tripping through time: Efficient Localization of Activities in Videos
Meera Hahn, Asim Kadav, James M. Rehg, Hans Peter Graf
http://arxiv.org/abs/1904.09936v1
• [cs.CV]Video Object Segmentation and Tracking: A Survey
Rui Yao, Guosheng Lin, Shixiong Xia, Jiaqi Zhao, Yong Zhou
http://arxiv.org/abs/1904.09172v2
• [cs.CV]Water-Filling: An Efficient Algorithm for Digitized Document Shadow Removal
Seungjun Jung, Muhammad Abul Hasan, Changick Kim
http://arxiv.org/abs/1904.09763v1
• [cs.CV]You2Me: Inferring Body Pose in Egocentric Video via First and Second Person Interactions
Evonne Ng, Donglai Xiang, Hanbyul Joo, Kristen Grauman
http://arxiv.org/abs/1904.09882v1
• [cs.CV]blessing in disguise: Designing Robust Turing Test by Employing Algorithm Unrobustness
Jiaming Zhang, Jitao Sang, Kaiyuan Xu, Shangxi Wu, Yongli Hu, Yanfeng Sun, Jian Yu
http://arxiv.org/abs/1904.09804v1
• [cs.CY]Apps, Places and People: strategies, limitations and trade-offs in the physical and digital worlds
Marco De Nadai, Angelo Cardoso, Antonio Lima, Bruno Lepri, Nuria Oliver
http://arxiv.org/abs/1904.09350v1
• [cs.CY]Health Behaviour Change Techniques in Diabetes Management Applications: A Systematic Review
Ahmed Fadhil, Yunlong Wang
http://arxiv.org/abs/1904.09884v1
• [cs.DB]CleanML: A Benchmark for Joint Data Cleaning and Machine Learning [Experiments and Analysis]**
Peng Li, Xi Rao, Jennifer Blase, Yue Zhang, Xu Chu, Ce Zhang
http://arxiv.org/abs/1904.09483v1
• [cs.DB]Mining Rules Incrementally over Large Knowledge Bases
Xiaofeng Zhou, Ali Sadeghian, Daisy Zhe Wang
http://arxiv.org/abs/1904.09399v1
• [cs.DC]A Blockchain-based Decentralized Self-balancing Architecture for the Web of Things
Aleksandar Tošić, Jernej Vičič, Michael Mrissa
http://arxiv.org/abs/1904.09595v1
• [cs.DC]Optimal Load Allocation for Coded Distributed Computation in Heterogeneous Clusters
DaeJin Kim, Hyegyeong Park, Junkyun Choi
http://arxiv.org/abs/1904.09496v1
• [cs.DC]Scalable, Secure and Broad-Spectrum Enforcement of Contracts, Without Blockchains
Naftaly Minsky, Chen Cong
http://arxiv.org/abs/1904.09940v1
• [cs.DC]Storing and Querying Large-Scale Spatio-Temporal Graphs with High-Throughput Edge Insertions
Mengsu Ding, Muqiao Yang, Shimin Chen
http://arxiv.org/abs/1904.09610v1
• [cs.DC]Structural Self-adaptation for Decentralized Pervasive Intelligence
Jovan Nikiloc, Evangelos Pournaras
http://arxiv.org/abs/1904.09681v1
• [cs.DS]Low-Rank Approximation from Communication Complexity
Cameron Musco, Christopher Musco, David P. Woodruff
http://arxiv.org/abs/1904.09841v1
• [cs.DS]Submodular Maximization Beyond Non-negativity: Guarantees, Fast Algorithms, and Applications
Christopher Harshaw, Moran Feldman, Justin Ward, Amin Karbasi
http://arxiv.org/abs/1904.09354v1
• [cs.DS]Trace Reconstruction: Generalized and Parameterized
Akshay Krishnamurthy, Arya Mazumdar, Andrew McGregor, Soumyabrata Pal
http://arxiv.org/abs/1904.09618v1
• [cs.HC]Unremarkable AI: Fitting Intelligent Decision Support into Critical, Clinical Decision-Making Processes
Qian Yang, Aaron Steinfeld, John Zimmerman
http://arxiv.org/abs/1904.09612v1
• [cs.IR]A Study on Agreement in PICO Span Annotations
Grace E. Lee, Aixin Sun
http://arxiv.org/abs/1904.09557v1
• [cs.IR]Integrating Association Rules with Decision Trees in Object-Relational Databases
Maruthi Rohit Ayyagari
http://arxiv.org/abs/1904.09654v1
• [cs.IT]Communication for Generating Correlation: A Survey
Madhu Sudan, Himanshu Tyagi, Shun Watanabe
http://arxiv.org/abs/1904.09563v1
• [cs.IT]Coordinated Nonorthogonal Pilot Design for Massive MIMO
Kaiming Shen, Hei Victor Cheng, Yonina C. Eldar, Wei Yu
http://arxiv.org/abs/1904.09653v1
• [cs.IT]Enabling Secure Wireless Communications via Intelligent Reflecting Surfaces
Xianghao Yu, Dongfang Xu, Robert Schober
http://arxiv.org/abs/1904.09573v1
• [cs.IT]Exact Sparse Signal Recovery via Orthogonal Matching Pursuit with Prior Information
Jinming Wen, Wei Yu
http://arxiv.org/abs/1904.09398v1
• [cs.IT]Improved Upper Bounds on the Hermite and KZ Constants
Jinming Wen, Xiao-Wen Chang, Jian Weng
http://arxiv.org/abs/1904.09395v1
• [cs.IT]Interval Algorithm for Random Number Generation: Information Spectrum Approach
Shun Watanabe, Te Sun Han
http://arxiv.org/abs/1904.09782v1
• [cs.IT]Linear codes over signed graphs
Jose Martinez-Bernal, Miguel A. Valencia, Rafael H. Villarreal
http://arxiv.org/abs/1904.09487v1
• [cs.IT]On Detection of Critical Events in a Finite Forest using Randomly Deployed Wireless Sensors
Kaushlendra K. Pandey, Abhishek K. Gupta
http://arxiv.org/abs/1904.09543v1
• [cs.IT]On Hybrid MoSK-CSK Modulation based Molecular Communication: Error Rate Performance Analysis using Stochastic Geometry
Nithin V. Sabu, Neeraj Varshney, Abhishek K. Gupta
http://arxiv.org/abs/1904.09736v1
• [cs.IT]On the Sum-Rate Capacity of Poisson Multiple Access Channel with Non-Perfect Photon-Counting Receiver
Zhimeng Jiang, Chen Gong, Guanchu Wang, Zhengyuan Xu
http://arxiv.org/abs/1904.09924v1
• [cs.IT]Steepest Gradient-Based Orthogonal Precoder For Integer-Forcing MIMO
Mohammad Nur Hasan, Brian M. Kurkoski, Amin Sakzad, Emanuele Viterbo
http://arxiv.org/abs/1904.09356v1
• [cs.IT]The estimation performance of nonlinear least squares for phase retrieval
Meng Huang, Zhiqiang Xu
http://arxiv.org/abs/1904.09711v1
• [cs.LG]Adversarial Dropout for Recurrent Neural Networks
Sungrae Park, Kyungwoo Song, Mingi Ji, Wonsung Lee, Il-Chul Moon
http://arxiv.org/abs/1904.09816v1
• [cs.LG]Beyond Explainability: Leveraging Interpretability for Improved Adversarial Learning
Devinder Kumar, Ibrahim Ben-Daya, Kanav Vats, Jeffery Feng, Graham Taylor and, Alexander Wong
http://arxiv.org/abs/1904.09633v1
• [cs.LG]Challenges and Prospects in Vision and Language Research
Kushal Kafle, Robik Shrestha, Christopher Kanan
http://arxiv.org/abs/1904.09317v1
• [cs.LG]Compositional generalization in a deep seq2seq model by separating syntax and semantics
Jake Russin, Jason Jo, Randall C. O’Reilly
http://arxiv.org/abs/1904.09708v1
• [cs.LG]Compression and Localization in Reinforcement Learning for ATARI Games
Joel Ruben Antony Moniz, Barun Patra, Sarthak Garg
http://arxiv.org/abs/1904.09489v1
• [cs.LG]DDGK: Learning Graph Representations for Deep Divergence Graph Kernels
Rami Al-Rfou, Dustin Zelle, Bryan Perozzi
http://arxiv.org/abs/1904.09671v1
• [cs.LG]Deep Learning for Large-Scale Real-World ACARS and ADS-B Radio Signal Classification
Shichuan Chen, Shilian Zheng, Lifeng Yang, Xiaoniu Yang
http://arxiv.org/abs/1904.09425v1
• [cs.LG]Derivative-Free Global Optimization Algorithms: Bayesian Method and Lipschitzian Approaches
Jiawei Zhang
http://arxiv.org/abs/1904.09365v1
• [cs.LG]Derivative-Free Global Optimization Algorithms: Population based Methods and Random Search Approaches
Jiawei Zhang
http://arxiv.org/abs/1904.09368v1
• [cs.LG]Distributed generation of privacy preserving data with user customization
Xiao Chen, Thomas Navidi, Stefano Ermon, Ram Rajagopal
http://arxiv.org/abs/1904.09415v1
• [cs.LG]Explaining a prediction in some nonlinear models
Cosimo Izzo
http://arxiv.org/abs/1904.09615v1
• [cs.LG]GAN-based Generation and Automatic Selection of Explanations for Neural Networks
Saumitra Mishra, Daniel Stoller, Emmanouil Benetos, Bob L. Sturm, Simon Dixon
http://arxiv.org/abs/1904.09533v1
• [cs.LG]Gender specific and Age dependent classification model for improved diagnosis in Parkinson’s disease
Ujjwal Gupta, Hritik Bansal, Deepak Joshi
http://arxiv.org/abs/1904.09651v1
• [cs.LG]Generative Exploration and Exploitation
Jiechuan Jiang, Zongqing Lu
http://arxiv.org/abs/1904.09605v1
• [cs.LG]HCFContext: Smartphone Context Inference via Sequential History-based Collaborative Filtering
Vidyasagar Sadhu, Saman Zonouz, Vincent Sritapan, Dario Pompili
http://arxiv.org/abs/1904.09631v1
• [cs.LG]Identifying Points of Interest and Similar Individuals from Raw GPS Data
Thiago Andrade, João Gama
http://arxiv.org/abs/1904.09357v1
• [cs.LG]Intermittent Learning: On-Device Machine Learning on Intermittently Powered System
Seulki Lee, Bashima Islam, Yubo Luo, Shahriar Nirjon
http://arxiv.org/abs/1904.09644v1
• [cs.LG]LIBS2ML: A Library for Scalable Second Order Machine Learning Algorithms
Vinod Kumar Chauhan, Anuj Sharma, Kalpana Dahiya
http://arxiv.org/abs/1904.09448v1
• [cs.LG]Learning gradient-based ICA by neurally estimating mutual information
Hlynur Davíð Hlynsson, Laurenz Wiskott
http://arxiv.org/abs/1904.09858v1
• [cs.LG]Linear Multiple Low-Rank Kernel Based Stationary Gaussian Processes Regression for Time Series
Feng Yin, Lishuo Pan, Xinwei He, Tianshi Chen, Sergios Theodoridis, Zhi-Quan, Luo
http://arxiv.org/abs/1904.09559v1
• [cs.LG]Meta-Weighted Gaussian Process Experts for Personalized Forecasting of AD Cognitive Changes
Ognjen Rudovic, Yuria Utsumi, Ricardo Guerrero, Kelly Peterson, Daniel Rueckert, Rosalind W. Picard
http://arxiv.org/abs/1904.09370v1
• [cs.LG]Minimax Optimal Online Stochastic Learning for Sequences of Convex Functions under Sub-Gradient Observation Failures
Hakan Gokcesu, Suleyman S. Kozat
http://arxiv.org/abs/1904.09369v1
• [cs.LG]Model-free Deep Reinforcement Learning for Urban Autonomous Driving
Jianyu Chen, Bodi Yuan, Masayoshi Tomizuka
http://arxiv.org/abs/1904.09503v1
• [cs.LG]PLUME: Polyhedral Learning Using Mixture of Experts
Kulin Shah, P. S. Sastry, Naresh Manwani
http://arxiv.org/abs/1904.09948v1
• [cs.LG]Reliable Weakly Supervised Learning: Maximize Gain and Maintain Safeness
Lan-Zhe Guo, Yu-Feng Li, Ming Li, Jin-Feng Yi, Bo-Wen Zhou, Zhi-Hua Zhou
http://arxiv.org/abs/1904.09743v1
• [cs.LG]Solution of Definite Integrals using Functional Link Artificial Neural Networks
Satyasaran Changdar, Snehangshu Bhattacharjee
http://arxiv.org/abs/1904.09656v1
• [cs.LG]Tracking and Improving Information in the Service of Fairness
Sumegha Garg, Michael P. Kim, Omer Reingold
http://arxiv.org/abs/1904.09942v1
• [cs.LG]Training generative networks using random discriminators
Babak Barazandeh, Meisam Razaviyayn, Maziar Sanjabi
http://arxiv.org/abs/1904.09775v1
• [cs.LG]Waterfall Bandits: Learning to Sell Ads Online
Branislav Kveton, Saied Mahdian, S. Muthukrishnan, Zheng Wen, Yikun Xian
http://arxiv.org/abs/1904.09404v1
• [cs.LO]Cut-free Calculi and Relational Semantics for Temporal STIT Logics
Kees van Berkel, Tim Lyon
http://arxiv.org/abs/1904.09899v1
• [cs.MA]Foundation for Genuine Global Identities
Gal Shahaf, Ehud Shapiro, Nimrod Talmon
http://arxiv.org/abs/1904.09630v1
• [cs.NE]A new insight into the Position Optimization of Wave Energy Converters by a Hybrid Local Search
Mehdi Neshat, Bradley Alexander, Nataliia Sergiienko, Markus Wagner
http://arxiv.org/abs/1904.09599v1
• [cs.NE]Algorithm Portfolio for Individual-based Surrogate-Assisted Evolutionary Algorithms
Hao Tong, Jialin Liu, Xin Yao
http://arxiv.org/abs/1904.09813v1
• [cs.NE]Continual Learning with Self-Organizing Maps
Pouya Bashivan, Martin Schrimpf, Robert Ajemian, Irina Rish, Matthew Riemer, Yuhai Tu
http://arxiv.org/abs/1904.09330v1
• [cs.NE]Donkey and Smuggler Optimization Algorithm: A Collaborative Working Approach to Path Finding
Ahmed S. Shamsaldin, Tarik A. Rashid, Rawan A. Al-Rashid Agha, Nawzad K. Al-Salihi, Mokhtar Mohammadi
http://arxiv.org/abs/1904.09352v1
• [cs.NI]A Novel QoE-Aware SDN-enabled, NFV-based Management Architecture for Future Multimedia Applications on 5G Systems
Alcardo Alex Barakabitze, Lingfen Sun, Is-Haka Mkwawa, Emmanuel Ifeachor
http://arxiv.org/abs/1904.09917v1
• [cs.PF]A mechanism for balancing accuracy and scope in cross-machine black-box GPU performance modeling
James D. Stevens
http://arxiv.org/abs/1904.09538v1
• [cs.PL]Optimization + Abstraction: A Synergistic Approach for Analyzing Neural Network Robustness
Greg Anderson, Shankara Pailoor, Isil Dillig, Swarat Chaudhuri
http://arxiv.org/abs/1904.09959v1
• [cs.RO]Active Adversarial Evader Tracking with a Probabilistic Pursuer under the Pursuit-Evasion Game Framework
Varun Chandra Jammula, Anshul Rai, Yezhou Yang
http://arxiv.org/abs/1904.09307v1
• [cs.RO]Inducing Multi-Convexity in Path Constrained Trajectory Optimization for Mobile Manipulators
Arun Kumar Singh, Andrei Ahonen, Reza Ghabcheloo, Andreas Muller
http://arxiv.org/abs/1904.09780v1
• [cs.RO]Learning Manipulation under Physics Constraints with Visual Perception
Wenbin Li, Aleš Leonardis, Jeannette Bohg, Mario Fritz
http://arxiv.org/abs/1904.09860v1
• [cs.RO]Qualitative and Quantitative Risk Analysis and Safety Assessment of Unmanned Aerial Vehicles Missions over the Internet
Azza Allouch, Anis Koubaa, Mohamed Khalgui, Tarek Abbes
http://arxiv.org/abs/1904.09432v1
• [cs.RO]Safety experiments for small robots investigating the potential of soft materials in mitigating the harm to the head due to impacts
Ahmad Yaser Alhaddad, John-John Cabibihan, Ahmad Hayek, Andrea Bonarini
http://arxiv.org/abs/1904.09621v1
• [cs.SD]hf0: A hybrid pitch extraction method for multimodal voice
Pradeep Rengaswamy, Gurunath Reddy M, Krothapalli Sreenivasa Rao
http://arxiv.org/abs/1904.09765v1
• [cs.SE]One DSL to Rule Them All: IDE-Assisted Code Generation for Agile Data Analysis
Artur Andrzejak, Oliver Wenz, Diego Costa
http://arxiv.org/abs/1904.09818v1
• [cs.SI]A Fast and Efficient Incremental Approach toward Dynamic Community Detection
Neda Zarayeneh, Ananth Kalyanaraman
http://arxiv.org/abs/1904.08553v2
• [cs.SY]Learning Sparse Dynamical Systems from a Single Sample Trajectory
Salar Fattahi, Nikolai Matni, Somayeh Sojoudi
http://arxiv.org/abs/1904.09396v1
• [econ.EM]Average Density Estimators: Efficiency and Bootstrap Consistency
Matias D. Cattaneo, Michael Jansson
http://arxiv.org/abs/1904.09372v1
• [eess.IV]LORAKI: Autocalibrated Recurrent Neural Networks for Autoregressive MRI Reconstruction in k-Space
Tae Hyung Kim, Pratyush Garg, Jusin P. Haldar
http://arxiv.org/abs/1904.09390v1
• [eess.IV]Non-local Attention Optimized Deep Image Compression
Haojie Liu, Tong Chen, Peiyao Guo, Qiu Shen, Xun Cao, Yao Wang, Zhan Ma
http://arxiv.org/abs/1904.09757v1
• [eess.SP]Analysis and Design of Robust Max Consensus for Wireless Sensor Networks
Gowtham Muniraju, Cihan Tepedelenlioglu, Andreas Spanias
http://arxiv.org/abs/1904.09377v1
• [eess.SP]Deep Learning for Physical-Layer 5G Wireless Techniques: Opportunities, Challenges and Solutions
Hongji Huang, Song Guo, Guan Gui, Zhen Yang, Jianhua Zhang, Hikmet Sari, Fumiyuki Adachi
http://arxiv.org/abs/1904.09673v1
• [eess.SP]Recovery of the fetal electrocardiogram for morphological analysis from two trans-abdominal channels via optimal shrinkage
Pei-Chun Su, Stephen Miller, Salim Idriss, Piers Barker, Hau-Tieng Wu
http://arxiv.org/abs/1904.09525v1
• [eess.SP]Revisiting Multi-Step Nonlinearity Compensation with Machine Learning
Christian Häger, Henry D. Pfister, Rick M. Bütler, Gabriele Liga, Alex Alvarado
http://arxiv.org/abs/1904.09807v1
• [math.OC]Provable Bregman-divergence based Methods for Nonconvex and Non-Lipschitz Problems
Qiuwei Li, Zhihui Zhu, Gongguo Tang, Michael B. Wakin
http://arxiv.org/abs/1904.09712v1
• [math.OC]Stability Analysis for a Class of Sparse Optimization Problems
Jialiang Xu, Yun-Bin Zhao
http://arxiv.org/abs/1904.09637v1
• [math.ST]Achieving the Bayes Error Rate in Synchronization and Block Models by SDP, Robustly
Yingjie Fei, Yudong Chen
http://arxiv.org/abs/1904.09635v1
• [math.ST]Estimating Sparse Networks with Hubs
Annaliza McGillivray, Abbas Khalili, David A. Stephens
http://arxiv.org/abs/1904.09394v1
• [math.ST]Gaussian Process Regression and Classification under Mathematical Constraints with Learning Guarantees
Jeremiah Zhe Liu
http://arxiv.org/abs/1904.09632v1
• [math.ST]Inference of synchrosqueezing transform — toward a unified statistical analysis of nonlinear-type time-frequency analysis
Matt Sourisseau, Hau-Tieng Wu, Zhou Zhou
http://arxiv.org/abs/1904.09534v1
• [math.ST]Note on Mean Vector Testing for High-Dimensional Dependent Observations
Seonghun Cho, Johan Lim, Deepak Nag Ayyala, Junyong Park, Anindya Roy
http://arxiv.org/abs/1904.09344v1
• [math.ST]On Parameter Estimation of the Hidden Gaussian Process in perturbed SDE
Yury A. Kutoyants, Li Zhou
http://arxiv.org/abs/1904.09750v1
• [math.ST]Optimal Adaptivity of Signed-Polygon Statistics for Network Testing
Jiashun Jin, Zheng Tracy Ke, Shengming Luo
http://arxiv.org/abs/1904.09532v1
• [math.ST]Particle filter efficiency under limited communication
Deborshee Sen, Alexandre H Thiery
http://arxiv.org/abs/1904.09623v1
• [math.ST]Simultaneous Estimation of Poisson Parameters
Emil Aas Stoltenberg, Nils Lid Hjort
http://arxiv.org/abs/1904.09318v1
• [math.ST]Unbiased Multilevel Monte Carlo: Stochastic Optimization, Steady-state Simulation, Quantiles, and Other Applications
Jose H. Blanchet, Peter W. Glynn, Yanan Pei
http://arxiv.org/abs/1904.09929v1
• [physics.comp-ph]DeepMoD: Deep learning for Model Discovery in noisy data
Gert-Jan Both, Subham Choudhury, Pierre Sens, Remy Kusters
http://arxiv.org/abs/1904.09406v1
• [physics.soc-ph]Generalized Markov stability of network communities
Aurelio Patelli, Andrea Gabrielli, Giulio Cimini
http://arxiv.org/abs/1904.09877v1
• [quant-ph]Efficient Online Quantum Generative Adversarial Learning Algorithms with Applications
Yuxuan Du, Min-Hsiu Hsieh, Dacheng Tao
http://arxiv.org/abs/1904.09602v1
• [stat.AP]High Dimensional Process Monitoring Using Robust Sparse Probabilistic Principal Component Analysis
Mohammad Nabhan, Yajun Mei, Jianjun Shi
http://arxiv.org/abs/1904.09514v1
• [stat.AP]Latent Feature Extraction for Process Data via Multidimensional Scaling
Xueying Tang, Zhi Wang, Qiwei He, Jingchen Liu, Zhiliang Ying
http://arxiv.org/abs/1904.09699v1
• [stat.AP]Measuring and Assessing Latent Variation in Alliance Design and Objectives
Benjamin W. Campbell
http://arxiv.org/abs/1904.09883v1
• [stat.AP]Radiogenomics models in precision radiotherapy: from mechanistic to machine learning
John Kang, James T. Coates, Robert L. Strawderman, Barry S. Rosenstein, Sarah L. Kerns
http://arxiv.org/abs/1904.09662v1
• [stat.CO]Kriging in Tensor Train data format
Sergey Dolgov, Alexander Litvinenko, Dishi Liu
http://arxiv.org/abs/1904.09668v1
• [stat.ME]Assessing Modeling Variability in Autonomous Vehicle Accelerated Evaluation
Zhiyuan Huang, Mansur Arief, Henry Lam, Ding Zhao
http://arxiv.org/abs/1904.09306v1
• [stat.ME]Is infinity that far? A Bayesian nonparametric perspective of finite mixture models
Raffaele Argiento, Maria De Iorio
http://arxiv.org/abs/1904.09733v1
• [stat.ME]Partial Correlations in Compositional Data Analysis
Ionas Erb
http://arxiv.org/abs/1904.09480v1
• [stat.ME]Stationary subspace analysis of nonstationary covariance processes: eigenstructure description and testing
Raanju Ragavendar Sundararajan, Vladas Pipiras, Mohsen Pourahmadi
http://arxiv.org/abs/1904.09420v1
• [stat.ME]Total Variation Regularized Fréchet Regression for Metric-Space Valued Data
Zhenhua Lin, Hans-Georg Müller
http://arxiv.org/abs/1904.09647v1
• [stat.ML]A General Neural Network Architecture for Persistence Diagrams and Graph Classification
Mathieu Carrière, Frédéric Chazal, Yuichi Ike, Théo Lacombe, Martin Royer, Yuhei Umeda
http://arxiv.org/abs/1904.09378v1
• [stat.ML]A Unified Framework for Structured Graph Learning via Spectral Constraints
Sandeep Kumar, Jiaxi Ying, José Vinícius de M. Cardoso, Daniel Palomar
http://arxiv.org/abs/1904.09792v1
• [stat.ML]Continuous-Time Birth-Death MCMC for Bayesian Regression Tree Models
Reza Mohammadi, Matthew Pratola, Maurits Kaptein
http://arxiv.org/abs/1904.09339v1
• [stat.ML]Mesh Learning Using Persistent Homology on the Laplacian Eigenfunctions
Yunhao Zhang, Haowen Liu, Paul Rosen, Mustafa Hajij
http://arxiv.org/abs/1904.09639v1
• [stat.ML]On Learning Non-Convergent Short-Run MCMC Toward Energy-Based Model
Erik Nijkamp, Song-Chun Zhu, Ying Nian Wu
http://arxiv.org/abs/1904.09770v1
• [stat.ML]TiK-means: $K$-means clustering for skewed groups
Nicholas S. Berry, Ranjan Maitra
http://arxiv.org/abs/1904.09609v1
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