cs.AI - 人工智能

    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.DL - 数字图书馆 cs.DS - 数据结构与算法 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.MM - 多媒体 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.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 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SP - 信号处理 eess.SY - 系统和控制 math.CO - 组合数学 math.NA - 数值分析 math.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 physics.comp-ph - 计算物理学 physics.data-an - 数据分析、 统计和概率 physics.med-ph - 医学物理学 physics.soc-ph - 物理学与社会 q-bio.PE - 人口与发展 q-fin.PM - 投资组合管理 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [cs.AI]Travel Time Estimation without Road Networks: An Urban Morphological Layout Representation Approach
    • [cs.CL]A Natural Language Corpus of Common Grounding under Continuous and Partially-Observable Context
    • [cs.CL]ANETAC: Arabic Named Entity Transliteration and Classification Dataset
    • [cs.CL]Applying a Pre-trained Language Model to Spanish Twitter Humor Prediction
    • [cs.CL]BERT-DST: Scalable End-to-End Dialogue State Tracking with Bidirectional Encoder Representations from Transformer
    • [cs.CL]Best Practices for Learning Domain-Specific Cross-Lingual Embeddings
    • [cs.CL]Correct-and-Memorize: Learning to Translate from Interactive Revisions
    • [cs.CL]Early Discovery of Emerging Entities in Microblogs
    • [cs.CL]Evolutionary Algorithm for Sinhala to English Translation
    • [cs.CL]Exploiting Out-of-Domain Parallel Data through Multilingual Transfer Learning for Low-Resource Neural Machine Translation
    • [cs.CL]Exploring difference in public perceptions on HPV vaccine between gender groups from Twitter using deep learning
    • [cs.CL]Graph based Neural Networks for Event Factuality Prediction using Syntactic and Semantic Structures
    • [cs.CL]Improved low-resource Somali speech recognition by semi-supervised acoustic and language model training
    • [cs.CL]Improving Cross-Domain Performance for Relation Extraction via Dependency Prediction and Information Flow Control
    • [cs.CL]Joint Lifelong Topic Model and Manifold Ranking for Document Summarization
    • [cs.CL]Knowledge-aware Pronoun Coreference Resolution
    • [cs.CL]Multiple Generative Models Ensemble for Knowledge-Driven Proactive Human-Computer Dialogue Agent
    • [cs.CL]NIESR: Nuisance Invariant End-to-end Speech Recognition
    • [cs.CL]Searching for Effective Neural Extractive Summarization: What Works and What’s Next
    • [cs.CL]Short Text Conversation Based on Deep Neural Network and Analysis on Evaluation Measures
    • [cs.CL]Towards Universal Dialogue Act Tagging for Task-Oriented Dialogues
    • [cs.CL]Zero-Shot Open Entity Typing as Type-Compatible Grounding
    • [cs.CR]Faking and Discriminating the Navigation Data of a Micro Aerial Vehicle Using Quantum Generative Adversarial Networks
    • [cs.CR]FortuneTeller: Predicting Microarchitectural Attacks via Unsupervised Deep Learning
    • [cs.CR]I Am Not What I Write: Privacy Preserving Text Representation Learning
    • [cs.CR]QUOTIENT: Two-Party Secure Neural Network Training and Prediction
    • [cs.CR]Smart Grid Cyber Attacks Detection using Supervised Learning and Heuristic Feature Selection
    • [cs.CR]Uncovering Download Fraud Activities in Mobile App Markets
    • [cs.CV]A Deep Learning Approach for Real-Time 3D Human Action Recognition from Skeletal Data
    • [cs.CV]A Novel Teacher-Student Learning Framework For Occluded Person Re-Identification
    • [cs.CV]A unified neural network for object detection, multiple object tracking and vehicle re-identification
    • [cs.CV]AMD Severity Prediction And Explainability Using Image Registration And Deep Embedded Clustering
    • [cs.CV]ASCNet: Adaptive-Scale Convolutional Neural Networks for Multi-Scale Feature Learning
    • [cs.CV]Bilevel Integrative Optimization for Ill-posed Inverse Problems
    • [cs.CV]Blind Universal Bayesian Image Denoising with Gaussian Noise Level Learning
    • [cs.CV]Bootstrap Model Ensemble and Rank Loss for Engagement Intensity Regression
    • [cs.CV]Correlation via synthesis: end-to-end nodule image generation and radiogenomic map learning based on generative adversarial network
    • [cs.CV]Data Distillation, Face-Related Tasks, Multi Task Learning, Semi-Supervised Learning
    • [cs.CV]Deep Learning for Fine-Grained Image Analysis: A Survey
    • [cs.CV]Dependency-aware Attention Control for Unconstrained Face Recognition with Image Sets
    • [cs.CV]ELF: Embedded Localisation of Features in pre-trained CNN
    • [cs.CV]Embodied Vision-and-Language Navigation with Dynamic Convolutional Filters
    • [cs.CV]Facial Makeup Transfer Combining Illumination Transfer
    • [cs.CV]Fast Universal Style Transfer for Artistic and Photorealistic Rendering
    • [cs.CV]Learning Structural Graph Layouts and 3D Shapes for Long Span Bridges 3D Reconstruction
    • [cs.CV]Linking Art through Human Poses
    • [cs.CV]Multi-level Wavelet Convolutional Neural Networks
    • [cs.CV]Multimodal Fusion with Deep Neural Networks for Audio-Video Emotion Recognition
    • [cs.CV]Part-A^2 Net: 3D Part-Aware and Aggregation Neural Network for Object Detection from Point Cloud
    • [cs.CV]Point-Voxel CNN for Efficient 3D Deep Learning
    • [cs.CV]Revisiting Metric Learning for Few-Shot Image Classification
    • [cs.CV]SAN: Scale-Aware Network for Semantic Segmentation of High-Resolution Aerial Images
    • [cs.CV]Spacetime Graph Optimization for Video Object Segmentation
    • [cs.CV]Tree-gated Deep Regressor Ensemble For Face Alignment In The Wild
    • [cs.CV]Unified Attentional Generative Adversarial Network for Brain Tumor Segmentation From Multimodal Unpaired Images
    • [cs.CV]Unsupervised Domain Alignment to Mitigate Low Level Dataset Biases
    • [cs.CV]Unsupervised cycle-consistent deformation for shape matching
    • [cs.CV]Variational Context: Exploiting Visual and Textual Context for Grounding Referring Expressions
    • [cs.CV]Video Question Generation via Cross-Modal Self-Attention Networks Learning
    • [cs.CY]A Conceptual Marketplace Model for IoT Generated Personal Data
    • [cs.CY]Differential Privacy in the 2020 Decennial Census and the Implications for Available Data Products
    • [cs.CY]Ensuring Responsible Outcomes from Technology
    • [cs.DC]A Topological Perspective on Distributed Network Algorithms
    • [cs.DC]Enabling Microsoft OneDrive Integration with HTCondor
    • [cs.DC]Fair Byzantine Agreements for Blockchains
    • [cs.DC]Graphyti: A Semi-External Memory Graph Library for FlashGraph
    • [cs.DC]IoT Platforms for 5G Network and Practical Considerations: A Survey
    • [cs.DC]Ostraka: Secure Blockchain Scaling by Node Sharding
    • [cs.DC]Platypus: a Partially Synchronous Offchain Protocol for Blockchains
    • [cs.DC]Qualitative Benchmarking of Deep Learning Hardware and Frameworks: Review and Tutorial
    • [cs.DL]Publication modalities ‘article in press’ and ‘open access’ in relation to journal average citation
    • [cs.DS]Composable Core-sets for Determinant Maximization: A Simple Near-Optimal Algorithm
    • [cs.DS]Contraction Clustering (RASTER): A Very Fast Big Data Algorithm for Sequential and Parallel Density-Based Clustering in Linear Time, Constant Memory, and a Single Pass
    • [cs.DS]Towards Testing Monotonicity of Distributions Over General Posets
    • [cs.IR]CobWeb: A Research Prototype for Exploring User Bias in Political Fact-Checking
    • [cs.IR]Global Aggregations of Local Explanations for Black Box models
    • [cs.IR]Incorporating Query Term Independence Assumption for Efficient Retrieval and Ranking using Deep Neural Networks
    • [cs.IR]Joint Neural Collaborative Filtering for Recommender Systems
    • [cs.IR]NeuType: A Simple and Effective Neural Network Approach for Predicting Missing Entity Type Information in Knowledge Bases
    • [cs.IR]Recommending Related Tables
    • [cs.IR]Search-Based Serving Architecture of Embeddings-Based Recommendations
    • [cs.IR]TEALS: Time-aware Text Embedding Approach to Leverage Subgraphs
    • [cs.IT]Asymmetric LOCO Codes: Constrained Codes for Flash Memories
    • [cs.IT]Capacity and Algorithms for a Cognitive Network with Primary-Secondary User Cooperation
    • [cs.IT]Deep Learning based Wireless Resource Allocation with Application to Vehicular Networks
    • [cs.IT]Early Detection for Optimal-Latency Communications in Multi-Hop Links
    • [cs.IT]Enabling Ultra Reliable Wireless Communications for Factory Automation with Distributed MIMO
    • [cs.IT]Error Probability Bounds for Gaussian Channels under Maximal and Average Power Constraints
    • [cs.IT]Further results on some classes of permutation polynomials over finite fields
    • [cs.IT]Fusion-Based Cooperative Support Identification for Compressive Networked Sensing
    • [cs.IT]Graph Signal Processing — Part I: Graphs, Graph Spectra, and Spectral Clustering
    • [cs.IT]Importance of Small Probability Events in Big Data: Information Measures, Applications, and Challenges
    • [cs.IT]Intelligent Reflecting Surface Assisted Non-Orthogonal Multiple Access
    • [cs.IT]Max-Min Rate of Cell-Free Massive MIMO Uplink with Optimal Uniform Quantization
    • [cs.IT]Resource Allocation for Secure IRS-assisted Multiuser MISO Systems
    • [cs.IT]Secure Network Coding in the Setting in Which a Non-Source Node May Generate Random Keys
    • [cs.LG]A Communication-Efficient Multi-Agent Actor-Critic Algorithm for Distributed Reinforcement Learning
    • [cs.LG]A Human-Grounded Evaluation of SHAP for Alert Processing
    • [cs.LG]A Multi-Stage Clustering Framework for Automotive Radar Data
    • [cs.LG]Adversarial Fault Tolerant Training for Deep Neural Networks
    • [cs.LG]AutoSlim: An Automatic DNN Structured Pruning Framework for Ultra-High Compression Rates
    • [cs.LG]Blending-target Domain Adaptation by Adversarial Meta-Adaptation Networks
    • [cs.LG]Case-Based Reasoning for Assisting Domain Experts in Processing Fraud Alerts of Black-Box Machine Learning Models
    • [cs.LG]Copula & Marginal Flows: Disentangling the Marginal from its Joint
    • [cs.LG]Data Efficient Reinforcement Learning for Legged Robots
    • [cs.LG]Deep Exponential-Family Auto-Encoders
    • [cs.LG]Diachronic Embedding for Temporal Knowledge Graph Completion
    • [cs.LG]Etalumis: Bringing Probabilistic Programming to Scientific Simulators at Scale
    • [cs.LG]Expressive power of tensor-network factorizations for probabilistic modeling, with applications from hidden Markov models to quantum machine learning
    • [cs.LG]Fast ES-RNN: A GPU Implementation of the ES-RNN Algorithm
    • [cs.LG]Fast and Provable ADMM for Learning with Generative Priors
    • [cs.LG]Gaussian Processes for Analyzing Positioned Trajectories in Sports
    • [cs.LG]General non-linear Bellman equations
    • [cs.LG]Generalized Control Functions via Variational Decoupling
    • [cs.LG]Generative Counterfactual Introspection for Explainable Deep Learning
    • [cs.LG]Improving Detection of Credit Card Fraudulent Transactions using Generative Adversarial Networks
    • [cs.LG]Individual Regret in Cooperative Nonstochastic Multi-Armed Bandits
    • [cs.LG]Intelligent Systems Design for Malware Classification Under Adversarial Conditions
    • [cs.LG]Intrinsic Motivation Driven Intuitive Physics Learning using Deep Reinforcement Learning with Intrinsic Reward Normalization
    • [cs.LG]Jointly Aligning and Predicting Continuous Emotion Annotations
    • [cs.LG]Learning a Behavioral Repertoire from Demonstrations
    • [cs.LG]Multivariate-Information Adversarial Ensemble for Scalable Joint Distribution Matching
    • [cs.LG]On-Policy Robot Imitation Learning from a Converging Supervisor
    • [cs.LG]Physics Informed Extreme Learning Machine (PIELM) — A rapid method for the numerical solution of partial differential equations
    • [cs.LG]Playing Flappy Bird via Asynchronous Advantage Actor Critic Algorithm
    • [cs.LG]Policy-Gradient Algorithms Have No Guarantees of Convergence in Continuous Action and State Multi-Agent Settings
    • [cs.LG]Predicting Customer Call Intent by Analyzing Phone Call Transcripts based on CNN for Multi-Class Classification
    • [cs.LG]Privacy-Preserving Classification with Secret Vector Machines
    • [cs.LG]Quantifying Transparency of Machine Learning Systems through Analysis of Contributions
    • [cs.LG]Quantitative $W_1$ Convergence of Langevin-Like Stochastic Processes with Non-Convex Potential State-Dependent Noise
    • [cs.LG]Quantum-inspired canonical correlation analysis for exponentially large dimensional data
    • [cs.LG]Regularizing linear inverse problems with convolutional neural networks
    • [cs.LG]Resource-Efficient Computing in Wearable Systems
    • [cs.LG]Resource-Efficient Wearable Computing for Real-Time Reconfigurable Machine Learning: A Cascading Binary Classification
    • [cs.LG]Self-supervised Learning of Distance Functions for Goal-Conditioned Reinforcement Learning
    • [cs.LG]ShrinkML: End-to-End ASR Model Compression Using Reinforcement Learning
    • [cs.LG]The Price of Interpretability
    • [cs.LG]Towards Debugging Deep Neural Networks by Generating Speech Utterances
    • [cs.LG]Towards Robust, Locally Linear Deep Networks
    • [cs.LG]TrackNet: A Deep Learning Network for Tracking High-speed and Tiny Objects in Sports Applications
    • [cs.LG]Weakly-supervised Knowledge Graph Alignment with Adversarial Learning
    • [cs.LG]What graph neural networks cannot learn: depth vs width
    • [cs.MM]Informative Visual Storytelling with Cross-modal Rules
    • [cs.NE]Adaptive Neuro-Surrogate-Based Optimisation Method for Wave Energy Converters Placement Optimisation
    • [cs.NE]Takens-inspired neuromorphic processor: a downsizing tool for random recurrent neural networks via feature extraction
    • [cs.NI]The Fog Development Kit: A Development Platform for SDN-based Edge-Fog Systems
    • [cs.PF]Optimizing Xeon Phi for Interactive Data Analysis
    • [cs.RO]A Review of Robot Learning for Manipulation: Challenges, Representations, and Algorithms
    • [cs.RO]Augmenting Knowledge through Statistical, Goal-oriented Human-Robot Dialog
    • [cs.RO]Modeling and Simulation of the Quadrtor Delivery System
    • [cs.RO]Segway DRIVE Benchmark: Place Recognition and SLAM Data Collected by A Fleet of Delivery Robots
    • [cs.RO]System Architecture for Real-time Surface Inspection Using Multiple UAVs
    • [cs.RO]Time Distance: A Novel Collision Prediction and Path Planning Method
    • [cs.SD]Towards Explainable Music Emotion Recognition: The Route via Mid-level Features
    • [cs.SE]MigrationMiner: An Automated Detection Tool of Third-Party Java Library Migration at the Method Level
    • [cs.SI]Network Embedding: on Compression and Learning
    • [eess.AS]The GDPR & Speech Data: Reflections of Legal and Technology Communities, First Steps towards a Common Understanding
    • [eess.IV]Adaptive Weighting Depth-variant Deconvolution of Fluorescence Microscopy Images with Convolutional Neural Network
    • [eess.IV]An Experimental-based Review of Image Enhancement and Image Restoration Methods for Underwater Imaging
    • [eess.IV]Assessing Reliability and Challenges of Uncertainty Estimations for Medical Image Segmentation
    • [eess.IV]Dual Adversarial Learning with Attention Mechanism for Fine-grained Medical Image Synthesis
    • [eess.IV]FC$^2$N: Fully Channel-Concatenated Network for Single Image Super-Resolution
    • [eess.IV]Learning joint lesion and tissue segmentation from task-specific hetero-modal datasets
    • [eess.IV]MRI Super-Resolution with Ensemble Learning and Complementary Priors
    • [eess.IV]Perceptual representations of structural information in images: application to quality assessment of synthesized view in FTV scenario
    • [eess.IV]Skin Lesion Analyser: An Efficient Seven-Way Multi-Class Skin Cancer Classification Using MobileNet
    • [eess.SP]Vertex-Frequency Graph Signal Processing
    • [eess.SY]A New Approach to Distributed Hypothesis Testing and Non-Bayesian Learning: Improved Learning Rate and Byzantine-Resilience
    • [eess.SY]Smart Households Demand Response Management with Micro Grid
    • [math.CO]One-step Majority-logic Decoding with Subspace Designs
    • [math.CO]Placement Delivery Arrays from Combinations of Strong Edge Colorings
    • [math.NA]Deep splitting method for parabolic PDEs
    • [math.OC]ReLU Networks as Surrogate Models in Mixed-Integer Linear Programs
    • [math.OC]Robust Guarantees for Perception-Based Control
    • [math.PR]Distance from the Nucleus to a Uniformly Random Point in the Typical and the Crofton Cells of the Poisson-Voronoi Tessellation
    • [math.PR]Posterior Convergence of $α$-Stable Sheets
    • [math.PR]Volume Doubling Condition and a Local Poincaré Inequality on Unweighted Random Geometric Graphs
    • [math.ST]Bayes factors with (overly) informative priors
    • [math.ST]Convergence Analysis of a Collapsed Gibbs Sampler for Bayesian Vector Autoregressions
    • [math.ST]Estimating location parameters in entangled single-sample distributions
    • [math.ST]Improving Lasso for model selection and prediction
    • [math.ST]On Inferences from Completed Data
    • [math.ST]On the Glivenko-Cantelli theorem for the functional empirical process using associated sequences
    • [math.ST]Testing Mixtures of Discrete Distributions
    • [physics.comp-ph]IRNet: A General Purpose Deep Residual Regression Framework for Materials Discovery
    • [physics.data-an]Precision annealing Monte Carlo methods for statistical data assimilation and machine learning
    • [physics.med-ph]Non-Invasive MGMT Status Prediction in GBM Cancer Using Magnetic Resonance Images (MRI) Radiomics Features: Univariate and Multivariate Machine Learning Radiogenomics Analysis
    • [physics.soc-ph]Characteristics of human mobility patterns revealed by high-frequency cell-phone position data
    • [q-bio.PE]How many groups? A statistical methodology for data-driven partitioning of infectious disease incidence into age-groups
    • [q-fin.PM]An intelligent financial portfolio trading strategy using deep Q-learning
    • [stat.AP]Causal mechanism of extreme river discharges in the upper Danube basin network
    • [stat.AP]Filaments of crime: Informing policing via thresholded ridge estimation
    • [stat.AP]Investigating some attributes of periodicity in DNA sequences via semi-Markov modelling
    • [stat.ME]A Versatile Estimation Procedure without Estimating the Nonignorable Missingness Mechanism
    • [stat.ME]Bayesian Nonparametric Nonhomogeneous Poisson Process with Applications to USGS Earthquake Data
    • [stat.ME]Learning a latent pattern of heterogeneity in the innovation rates of a time series of counts
    • [stat.ME]Modeling Symmetric Positive Definite Matrices with An Application to Functional Brain Connectivity
    • [stat.ME]The revisited knockoffs method for variable selection in L1-penalised regressions
    • [stat.ML]Unbiased estimators for random design regression
    • [stat.ML]XGBoostLSS — An extension of XGBoost to probabilistic forecasting

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    • [cs.AI]Travel Time Estimation without Road Networks: An Urban Morphological Layout Representation Approach
    Wuwei Lan, Yanyan Xu, Bin Zhao
    http://arxiv.org/abs/1907.03381v1

    • [cs.CL]A Natural Language Corpus of Common Grounding under Continuous and Partially-Observable Context
    Takuma Udagawa, Akiko Aizawa
    http://arxiv.org/abs/1907.03399v1

    • [cs.CL]ANETAC: Arabic Named Entity Transliteration and Classification Dataset
    Mohamed Seghir Hadj Ameur, Farid Meziane, Ahmed Guessoum
    http://arxiv.org/abs/1907.03110v1

    • [cs.CL]Applying a Pre-trained Language Model to Spanish Twitter Humor Prediction
    Bobak Farzin, Piotr Czapla, Jeremy Howard
    http://arxiv.org/abs/1907.03187v1

    • [cs.CL]BERT-DST: Scalable End-to-End Dialogue State Tracking with Bidirectional Encoder Representations from Transformer
    Guan-Lin Chao, Ian Lane
    http://arxiv.org/abs/1907.03040v1

    • [cs.CL]Best Practices for Learning Domain-Specific Cross-Lingual Embeddings
    Lena Shakurova, Beata Nyari, Chao Li, Mihai Rotaru
    http://arxiv.org/abs/1907.03112v1

    • [cs.CL]Correct-and-Memorize: Learning to Translate from Interactive Revisions
    Rongxiang Weng, Hao Zhou, Shujian Huang, Lei Li, Yifan Xia, Jiajun Chen
    http://arxiv.org/abs/1907.03468v1

    • [cs.CL]Early Discovery of Emerging Entities in Microblogs
    Satoshi Akasaki, Naoki Yoshinaga, Masashi Toyoda
    http://arxiv.org/abs/1907.03513v1

    • [cs.CL]Evolutionary Algorithm for Sinhala to English Translation
    J. K. Joseph, W. M. T. Chathurika, A. Nugaliyadde, Y. Mallawarachchi
    http://arxiv.org/abs/1907.03202v1

    • [cs.CL]Exploiting Out-of-Domain Parallel Data through Multilingual Transfer Learning for Low-Resource Neural Machine Translation
    Aizhan Imankulova, Raj Dabre, Atsushi Fujita, Kenji Imamura
    http://arxiv.org/abs/1907.03060v1

    • [cs.CL]Exploring difference in public perceptions on HPV vaccine between gender groups from Twitter using deep learning
    Jingcheng Du, Chongliang Luo, Qiang Wei, Yong Chen, Cui Tao
    http://arxiv.org/abs/1907.03167v1

    • [cs.CL]Graph based Neural Networks for Event Factuality Prediction using Syntactic and Semantic Structures
    Amir Pouran Ben Veyseh, Thien Huu Nguyen, Dejing Dou
    http://arxiv.org/abs/1907.03227v1

    • [cs.CL]Improved low-resource Somali speech recognition by semi-supervised acoustic and language model training
    Astik Biswas, Raghav Menon, Ewald van der Westhuizen, Thomas Niesler
    http://arxiv.org/abs/1907.03064v1

    • [cs.CL]Improving Cross-Domain Performance for Relation Extraction via Dependency Prediction and Information Flow Control
    Amir Pouran Ben Veyseh, Thien Huu Nguyen, Dejing Dou
    http://arxiv.org/abs/1907.03230v1

    • [cs.CL]Joint Lifelong Topic Model and Manifold Ranking for Document Summarization
    Jianying Lin, Rui Liu, Quanye Jia
    http://arxiv.org/abs/1907.03224v1

    • [cs.CL]Knowledge-aware Pronoun Coreference Resolution
    Hongming Zhang, Yan Song, Yangqiu Song, Dong Yu
    http://arxiv.org/abs/1907.03663v1

    • [cs.CL]Multiple Generative Models Ensemble for Knowledge-Driven Proactive Human-Computer Dialogue Agent
    Zelin Dai, Weitang Liu, Hao Zhang, Minghao Zhu, Long Wang
    http://arxiv.org/abs/1907.03590v1

    • [cs.CL]NIESR: Nuisance Invariant End-to-end Speech Recognition
    I-Hung Hsu, Ayush Jaiswal, Premkumar Natarajan
    http://arxiv.org/abs/1907.03233v1

    • [cs.CL]Searching for Effective Neural Extractive Summarization: What Works and What’s Next
    Ming Zhong, Pengfei Liu, Danqing Wang, Xipeng Qiu, Xuanjing Huang
    http://arxiv.org/abs/1907.03491v1

    • [cs.CL]Short Text Conversation Based on Deep Neural Network and Analysis on Evaluation Measures
    Hsiang-En Cherng, Chia-Hui Chang
    http://arxiv.org/abs/1907.03070v1

    • [cs.CL]Towards Universal Dialogue Act Tagging for Task-Oriented Dialogues
    Shachi Paul, Rahul Goel, Dilek Hakkani-Tür
    http://arxiv.org/abs/1907.03020v1

    • [cs.CL]Zero-Shot Open Entity Typing as Type-Compatible Grounding
    Ben Zhou, Daniel Khashabi, Chen-Tse Tsai, Dan Roth
    http://arxiv.org/abs/1907.03228v1

    • [cs.CR]Faking and Discriminating the Navigation Data of a Micro Aerial Vehicle Using Quantum Generative Adversarial Networks
    Michel Barbeau, Joaquin Garcia-Alfaro
    http://arxiv.org/abs/1907.03038v1

    • [cs.CR]FortuneTeller: Predicting Microarchitectural Attacks via Unsupervised Deep Learning
    Berk Gulmezoglu, Ahmad Moghimi, Thomas Eisenbarth, Berk Sunar
    http://arxiv.org/abs/1907.03651v1

    • [cs.CR]I Am Not What I Write: Privacy Preserving Text Representation Learning
    Ghazaleh Beigi, Kai Shu, Ruocheng Guo, Suhang Wang, Huan Liu
    http://arxiv.org/abs/1907.03189v1

    • [cs.CR]QUOTIENT: Two-Party Secure Neural Network Training and Prediction
    Nitin Agrawal, Ali Shahin Shamsabadi, Matt J. Kusner, Adrià Gascón
    http://arxiv.org/abs/1907.03372v1

    • [cs.CR]Smart Grid Cyber Attacks Detection using Supervised Learning and Heuristic Feature Selection
    Jacob Sakhnini, Hadis Karimipour, Ali Dehghantanha
    http://arxiv.org/abs/1907.03313v1

    • [cs.CR]Uncovering Download Fraud Activities in Mobile App Markets
    Yingtong Dou, Weijian Li, Zhirong Liu, Zhenhua Dong, Jiebo Luo, Philip S. Yu
    http://arxiv.org/abs/1907.03048v1

    • [cs.CV]A Deep Learning Approach for Real-Time 3D Human Action Recognition from Skeletal Data
    Huy Hieu Pham, Houssam Salmane, Louahdi Khoudour, Alain Crouzil, Pablo Zegers, Sergio A Velastin
    http://arxiv.org/abs/1907.03520v1

    • [cs.CV]A Novel Teacher-Student Learning Framework For Occluded Person Re-Identification
    Jiaxuan Zhuo, Jianhuang Lai, Peijia Chen
    http://arxiv.org/abs/1907.03253v1

    • [cs.CV]A unified neural network for object detection, multiple object tracking and vehicle re-identification
    Yuhao Xu, Jiakui Wang
    http://arxiv.org/abs/1907.03465v1

    • [cs.CV]AMD Severity Prediction And Explainability Using Image Registration And Deep Embedded Clustering
    Dwarikanath Mahapatra
    http://arxiv.org/abs/1907.03075v1

    • [cs.CV]ASCNet: Adaptive-Scale Convolutional Neural Networks for Multi-Scale Feature Learning
    Mo Zhang, Jie Zhao, Xiang Li, Li Zhang, Quanzheng Li
    http://arxiv.org/abs/1907.03241v1

    • [cs.CV]Bilevel Integrative Optimization for Ill-posed Inverse Problems
    Risheng Liu, Long Ma, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang
    http://arxiv.org/abs/1907.03083v1

    • [cs.CV]Blind Universal Bayesian Image Denoising with Gaussian Noise Level Learning
    Majed El Helou, Sabine Susstrunk
    http://arxiv.org/abs/1907.03029v1

    • [cs.CV]Bootstrap Model Ensemble and Rank Loss for Engagement Intensity Regression
    Kai Wang, Jianfei Yang, Da Guo, Kaipeng Zhang, Xiaojiang Peng, Yu Qiao
    http://arxiv.org/abs/1907.03422v1

    • [cs.CV]Correlation via synthesis: end-to-end nodule image generation and radiogenomic map learning based on generative adversarial network
    Ziyue Xu, Xiaosong Wang, Hoo-Chang Shin, Dong Yang, Holger Roth, Fausto Milletari, Ling Zhang, Daguang Xu
    http://arxiv.org/abs/1907.03728v1

    • [cs.CV]Data Distillation, Face-Related Tasks, Multi Task Learning, Semi-Supervised Learning
    Sepidehsadat Hosseini, Mohammad Amin Shabani, Nam Ik Cho
    http://arxiv.org/abs/1907.03402v1

    • [cs.CV]Deep Learning for Fine-Grained Image Analysis: A Survey
    Xiu-Shen Wei, Jianxin Wu, Quan Cui
    http://arxiv.org/abs/1907.03069v1

    • [cs.CV]Dependency-aware Attention Control for Unconstrained Face Recognition with Image Sets
    Xiaofeng Liu, B. V. K Vijaya Kumar, Chao Yang, Qingming Tang, Jane You
    http://arxiv.org/abs/1907.03030v1

    • [cs.CV]ELF: Embedded Localisation of Features in pre-trained CNN
    Assia Benbihi, Matthieu Geist, Cédric Pradalier
    http://arxiv.org/abs/1907.03261v1

    • [cs.CV]Embodied Vision-and-Language Navigation with Dynamic Convolutional Filters
    Federico Landi, Lorenzo Baraldi, Massimiliano Corsini, Rita Cucchiara
    http://arxiv.org/abs/1907.02985v1

    • [cs.CV]Facial Makeup Transfer Combining Illumination Transfer
    Xin Jin, Rui Han, Ning Ning, Xiaodong Li, Xiaokun Zhang
    http://arxiv.org/abs/1907.03398v1

    • [cs.CV]Fast Universal Style Transfer for Artistic and Photorealistic Rendering
    Jie An, Haoyi Xiong, Jiebo Luo, Jun Huan, Jinwen Ma
    http://arxiv.org/abs/1907.03118v1

    • [cs.CV]Learning Structural Graph Layouts and 3D Shapes for Long Span Bridges 3D Reconstruction
    Fangqiao Hu, Jin Zhao, Yong Hunag, Hui Li
    http://arxiv.org/abs/1907.03387v1

    • [cs.CV]Linking Art through Human Poses
    Tomas Jenicek, Ondřej Chum
    http://arxiv.org/abs/1907.03537v1

    • [cs.CV]Multi-level Wavelet Convolutional Neural Networks
    Pengju Liu, Hongzhi Zhang, Wei Lian, Wangmeng Zuo
    http://arxiv.org/abs/1907.03128v1

    • [cs.CV]Multimodal Fusion with Deep Neural Networks for Audio-Video Emotion Recognition
    Juan D. S. Ortega, Mohammed Senoussaoui, Eric Granger, Marco Pedersoli, Patrick Cardinal, Alessandro L. Koerich
    http://arxiv.org/abs/1907.03196v1

    • [cs.CV]Part-A^2 Net: 3D Part-Aware and Aggregation Neural Network for Object Detection from Point Cloud
    Shaoshuai Shi, Zhe Wang, Xiaogang Wang, Hongsheng Li
    http://arxiv.org/abs/1907.03670v1

    • [cs.CV]Point-Voxel CNN for Efficient 3D Deep Learning
    Zhijian Liu, Haotian Tang, Yujun Lin, Song Han
    http://arxiv.org/abs/1907.03739v1

    • [cs.CV]Revisiting Metric Learning for Few-Shot Image Classification
    Xiaomeng Li, Lequan Yu, Chi-Wing Fu, Meng Fang, Pheng-Ann Heng
    http://arxiv.org/abs/1907.03123v1

    • [cs.CV]SAN: Scale-Aware Network for Semantic Segmentation of High-Resolution Aerial Images
    Jingbo Lin, Weipeng Jing, Houbing Song
    http://arxiv.org/abs/1907.03089v1

    • [cs.CV]Spacetime Graph Optimization for Video Object Segmentation
    Emanuela Haller, Adina Magda Florea, Marius Leordeanu
    http://arxiv.org/abs/1907.03326v1

    • [cs.CV]Tree-gated Deep Regressor Ensemble For Face Alignment In The Wild
    Estephe Arnaud, Arnaud Dapogny, Kevin Bailly
    http://arxiv.org/abs/1907.03248v1

    • [cs.CV]Unified Attentional Generative Adversarial Network for Brain Tumor Segmentation From Multimodal Unpaired Images
    Wenguang Yuan, Jia Wei, Jiabing Wang, Qianli Ma, Tolga Tasdizen
    http://arxiv.org/abs/1907.03548v1

    • [cs.CV]Unsupervised Domain Alignment to Mitigate Low Level Dataset Biases
    Kirthi Shankar Sivamani
    http://arxiv.org/abs/1907.03644v1

    • [cs.CV]Unsupervised cycle-consistent deformation for shape matching
    Thibault Groueix, Matthew Fisher, Vladimir G. Kim, Bryan C. Russell, Mathieu Aubry
    http://arxiv.org/abs/1907.03165v1

    • [cs.CV]Variational Context: Exploiting Visual and Textual Context for Grounding Referring Expressions
    Yulei Niu, Hanwang Zhang, Zhiwu Lu, Shih-Fu Chang
    http://arxiv.org/abs/1907.03609v1

    • [cs.CV]Video Question Generation via Cross-Modal Self-Attention Networks Learning
    Yu-Siang Wang, Hung-Ting Su, Chen-Hsi Chang, Winston Hsu
    http://arxiv.org/abs/1907.03049v1

    • [cs.CY]A Conceptual Marketplace Model for IoT Generated Personal Data
    Victor Molina, Marta Kersten-Oertel, Tristan Glatard
    http://arxiv.org/abs/1907.03047v1

    • [cs.CY]Differential Privacy in the 2020 Decennial Census and the Implications for Available Data Products
    danah boyd
    http://arxiv.org/abs/1907.03639v1

    • [cs.CY]Ensuring Responsible Outcomes from Technology
    Aaditeshwar Seth
    http://arxiv.org/abs/1907.03263v1

    • [cs.DC]A Topological Perspective on Distributed Network Algorithms
    Armando Castañeda, Pierre Fraigniaud, Ami Paz, Sergio Rajsbaum, Matthieu Roy, Corentin Travers
    http://arxiv.org/abs/1907.03565v1

    • [cs.DC]Enabling Microsoft OneDrive Integration with HTCondor
    Derek Weitzel
    http://arxiv.org/abs/1907.03688v1

    • [cs.DC]Fair Byzantine Agreements for Blockchains
    Tzu-Wei Chao, Hao Chung, Po-Chun Kuo
    http://arxiv.org/abs/1907.03437v1

    • [cs.DC]Graphyti: A Semi-External Memory Graph Library for FlashGraph
    Disa Mhembere, Da Zheng, Carey E. Priebe, Joshua T. Vogelstein, Randal Burns
    http://arxiv.org/abs/1907.03335v1

    • [cs.DC]IoT Platforms for 5G Network and Practical Considerations: A Survey
    Sejuti Banik, Irvin Steve Cardenas, Jong Hoon Kim
    http://arxiv.org/abs/1907.03592v1

    • [cs.DC]Ostraka: Secure Blockchain Scaling by Node Sharding
    Alex Manuskin, Michael Mirkin, Ittay Eyal
    http://arxiv.org/abs/1907.03331v1

    • [cs.DC]Platypus: a Partially Synchronous Offchain Protocol for Blockchains
    Alejandro Ranchal-Pedrosa, Vincent Gramoli
    http://arxiv.org/abs/1907.03730v1

    • [cs.DC]Qualitative Benchmarking of Deep Learning Hardware and Frameworks: Review and Tutorial
    Wei Dai, Daniel Berleant
    http://arxiv.org/abs/1907.03626v1

    • [cs.DL]Publication modalities ‘article in press’ and ‘open access’ in relation to journal average citation
    Sara M. González-Betancor, Pablo Dorta-González
    http://arxiv.org/abs/1907.03518v1

    • [cs.DS]Composable Core-sets for Determinant Maximization: A Simple Near-Optimal Algorithm
    Piotr Indyk, Sepideh Mahabadi, Shayan Oveis Gharan, Alireza Rezaei
    http://arxiv.org/abs/1907.03197v1

    • [cs.DS]Contraction Clustering (RASTER): A Very Fast Big Data Algorithm for Sequential and Parallel Density-Based Clustering in Linear Time, Constant Memory, and a Single Pass
    Gregor Ulm, Simon Smith, Adrian Nilsson, Emil Gustavsson, Mats Jirstrand
    http://arxiv.org/abs/1907.03620v1

    • [cs.DS]Towards Testing Monotonicity of Distributions Over General Posets
    Maryam Aliakbarpour, Themis Gouleakis, John Peebles, Ronitt Rubinfeld, Anak Yodpinyanee
    http://arxiv.org/abs/1907.03182v1

    • [cs.IR]CobWeb: A Research Prototype for Exploring User Bias in Political Fact-Checking
    Anubrata Das, Kunjan Mehta, Matthew Lease
    http://arxiv.org/abs/1907.03718v1

    • [cs.IR]Global Aggregations of Local Explanations for Black Box models
    Ilse van der Linden, Hinda Haned, Evangelos Kanoulas
    http://arxiv.org/abs/1907.03039v1

    • [cs.IR]Incorporating Query Term Independence Assumption for Efficient Retrieval and Ranking using Deep Neural Networks
    Bhaskar Mitra, Corby Rosset, David Hawking, Nick Craswell, Fernando Diaz, Emine Yilmaz
    http://arxiv.org/abs/1907.03693v1

    • [cs.IR]Joint Neural Collaborative Filtering for Recommender Systems
    Wanyu Chen, Fei Cai, Honghui Chen, Maarten de Rijke
    http://arxiv.org/abs/1907.03459v1

    • [cs.IR]NeuType: A Simple and Effective Neural Network Approach for Predicting Missing Entity Type Information in Knowledge Bases
    Jon Arne Bø Hovda, Darío Garigliotti, Krisztian Balog
    http://arxiv.org/abs/1907.03007v1

    • [cs.IR]Recommending Related Tables
    Shuo Zhang, Krisztian Balog
    http://arxiv.org/abs/1907.03595v1

    • [cs.IR]Search-Based Serving Architecture of Embeddings-Based Recommendations
    Sonya Liberman, Shaked Bar, Raphael Vannerom, Danny Rosenstein, Ronny Lempel
    http://arxiv.org/abs/1907.03336v1

    • [cs.IR]TEALS: Time-aware Text Embedding Approach to Leverage Subgraphs
    Saeid Hosseini, Saeed Najafi Pour, Ngai-Man Cheung, Mohammad Reza Kangavari, Xiaofang Zhou, Yuval Elovici
    http://arxiv.org/abs/1907.03191v1

    • [cs.IT]Asymmetric LOCO Codes: Constrained Codes for Flash Memories
    Ahmed Hareedy, Robert Calderbank
    http://arxiv.org/abs/1907.03707v1

    • [cs.IT]Capacity and Algorithms for a Cognitive Network with Primary-Secondary User Cooperation
    Athanasios Papadopoulos, Nestor D. Chatzidiamantis, Leonidas Georgiadis
    http://arxiv.org/abs/1907.03444v1

    • [cs.IT]Deep Learning based Wireless Resource Allocation with Application to Vehicular Networks
    Le Liang, Hao Ye, Guanding Yu, Geoffrey Ye Li
    http://arxiv.org/abs/1907.03289v1

    • [cs.IT]Early Detection for Optimal-Latency Communications in Multi-Hop Links
    Diego Barragán Guerrero, Minh Au, Ghyslain Gagnon, François Gagnon, Pascal Giard
    http://arxiv.org/abs/1907.02576v2

    • [cs.IT]Enabling Ultra Reliable Wireless Communications for Factory Automation with Distributed MIMO
    Gianluca Casciano, Paolo Baracca, Stefano Buzzi
    http://arxiv.org/abs/1907.03530v1

    • [cs.IT]Error Probability Bounds for Gaussian Channels under Maximal and Average Power Constraints
    Gonzalo Vazquez-Vilar
    http://arxiv.org/abs/1907.03163v1

    • [cs.IT]Further results on some classes of permutation polynomials over finite fields
    Xiaogang Liu
    http://arxiv.org/abs/1907.03386v1

    • [cs.IT]Fusion-Based Cooperative Support Identification for Compressive Networked Sensing
    Ming-Hsun Yang, Jwo-Yuh Wu, Tsang-Yi Wang, Robert G. Maunder, Rung-Hung Gau
    http://arxiv.org/abs/1907.03071v1

    • [cs.IT]Graph Signal Processing — Part I: Graphs, Graph Spectra, and Spectral Clustering
    Ljubisa Stankovic, Danilo Mandic, Milos Dakovic, Milos Brajovic, Bruno Scalzo, Tony Constantinides
    http://arxiv.org/abs/1907.03467v1

    • [cs.IT]Importance of Small Probability Events in Big Data: Information Measures, Applications, and Challenges
    Rui She, Shanyun Liu, Shuo Wan, Ke Xiong, Pingyi Fan
    http://arxiv.org/abs/1907.02652v2

    • [cs.IT]Intelligent Reflecting Surface Assisted Non-Orthogonal Multiple Access
    Gang Yang, Xinyue Xu, Ying-Chang Liang
    http://arxiv.org/abs/1907.03133v1

    • [cs.IT]Max-Min Rate of Cell-Free Massive MIMO Uplink with Optimal Uniform Quantization
    Manijeh Bashar, Kanapathippillai Cumanan, Alister G. Burr, Hien Quoc Ngo, Merouane Debbah, Pei Xiao
    http://arxiv.org/abs/1907.03262v1

    • [cs.IT]Resource Allocation for Secure IRS-assisted Multiuser MISO Systems
    Dongfang Xu, Xianghao Yu, Yan Sun, Derrick Wing Kwan Ng, Robert Schober
    http://arxiv.org/abs/1907.03085v1

    • [cs.IT]Secure Network Coding in the Setting in Which a Non-Source Node May Generate Random Keys
    Debaditya Chaudhuri, Michael Langberg, Michelle Effros
    http://arxiv.org/abs/1907.03522v1

    • [cs.LG]A Communication-Efficient Multi-Agent Actor-Critic Algorithm for Distributed Reinforcement Learning
    Yixuan Lin, Kaiqing Zhang, Zhuoran Yang, Zhaoran Wang, Tamer Başar, Romeil Sandhu, Ji Liu
    http://arxiv.org/abs/1907.03053v1

    • [cs.LG]A Human-Grounded Evaluation of SHAP for Alert Processing
    Hilde J. P. Weerts, Werner van Ipenburg, Mykola Pechenizkiy
    http://arxiv.org/abs/1907.03324v1

    • [cs.LG]A Multi-Stage Clustering Framework for Automotive Radar Data
    Nicolas Scheiner, Nils Appenrodt, Jürgen Dickmann, Bernhard Sick
    http://arxiv.org/abs/1907.03511v1

    • [cs.LG]Adversarial Fault Tolerant Training for Deep Neural Networks
    Vasisht Duddu, D. Vijay Rao, Valentina E. Balas
    http://arxiv.org/abs/1907.03103v1

    • [cs.LG]AutoSlim: An Automatic DNN Structured Pruning Framework for Ultra-High Compression Rates
    Ning Liu, Xiaolong Ma, Zhiyuan Xu, Yanzhi Wang, Jian Tang, Jieping Ye
    http://arxiv.org/abs/1907.03141v1

    • [cs.LG]Blending-target Domain Adaptation by Adversarial Meta-Adaptation Networks
    Ziliang Chen, Jingyu Zhuang, Xiaodan Liang, Liang Lin
    http://arxiv.org/abs/1907.03389v1

    • [cs.LG]Case-Based Reasoning for Assisting Domain Experts in Processing Fraud Alerts of Black-Box Machine Learning Models
    Hilde J. P. Weerts, Werner van Ipenburg, Mykola Pechenizkiy
    http://arxiv.org/abs/1907.03334v1

    • [cs.LG]Copula & Marginal Flows: Disentangling the Marginal from its Joint
    Magnus Wiese, Robert Knobloch, Ralf Korn
    http://arxiv.org/abs/1907.03361v1

    • [cs.LG]Data Efficient Reinforcement Learning for Legged Robots
    Yuxiang Yang, Ken Caluwaerts, Atil Iscen, Tingnan Zhang, Jie Tan, Vikas Sindhwani
    http://arxiv.org/abs/1907.03613v1

    • [cs.LG]Deep Exponential-Family Auto-Encoders
    Bahareh Tolooshams, Andrew H. Song, Simona Temereanca, Demba Ba
    http://arxiv.org/abs/1907.03211v1

    • [cs.LG]Diachronic Embedding for Temporal Knowledge Graph Completion
    Rishab Goel, Seyed Mehran Kazemi, Marcus Brubaker, Pascal Poupart
    http://arxiv.org/abs/1907.03143v1

    • [cs.LG]Etalumis: Bringing Probabilistic Programming to Scientific Simulators at Scale
    Atılım Güneş Baydin, Lei Shao, Wahid Bhimji, Lukas Heinrich, Lawrence Meadows, Jialin Liu, Andreas Munk, Saeid Naderiparizi, Bradley Gram-Hansen, Gilles Louppe, Mingfei Ma, Xiaohui Zhao, Philip Torr, Victor Lee, Kyle Cranmer, Prabhat, Frank Wood
    http://arxiv.org/abs/1907.03382v1

    • [cs.LG]Expressive power of tensor-network factorizations for probabilistic modeling, with applications from hidden Markov models to quantum machine learning
    Ivan Glasser, Ryan Sweke, Nicola Pancotti, Jens Eisert, J. Ignacio Cirac
    http://arxiv.org/abs/1907.03741v1

    • [cs.LG]Fast ES-RNN: A GPU Implementation of the ES-RNN Algorithm
    Andrew Redd, Kaung Khin, Aldo Marini
    http://arxiv.org/abs/1907.03329v1

    • [cs.LG]Fast and Provable ADMM for Learning with Generative Priors
    Fabian Latorre Gómez, Armin Eftekhari, Volkan Cevher
    http://arxiv.org/abs/1907.03343v1

    • [cs.LG]Gaussian Processes for Analyzing Positioned Trajectories in Sports
    Yuxin Zhao, Feng Yin, Fredrik Gunnarsson, Fredrik Hultkrantz
    http://arxiv.org/abs/1907.03043v1

    • [cs.LG]General non-linear Bellman equations
    Hado van Hasselt, John Quan, Matteo Hessel, Zhongwen Xu, Diana Borsa, Andre Barreto
    http://arxiv.org/abs/1907.03687v1

    • [cs.LG]Generalized Control Functions via Variational Decoupling
    Aahlad Manas Puli, Rajesh Ranganath
    http://arxiv.org/abs/1907.03451v1

    • [cs.LG]Generative Counterfactual Introspection for Explainable Deep Learning
    Shusen Liu, Bhavya Kailkhura, Donald Loveland, Yong Han
    http://arxiv.org/abs/1907.03077v1

    • [cs.LG]Improving Detection of Credit Card Fraudulent Transactions using Generative Adversarial Networks
    Hung Ba
    http://arxiv.org/abs/1907.03355v1

    • [cs.LG]Individual Regret in Cooperative Nonstochastic Multi-Armed Bandits
    Yogev Bar-On, Yishay Mansour
    http://arxiv.org/abs/1907.03346v1

    • [cs.LG]Intelligent Systems Design for Malware Classification Under Adversarial Conditions
    Sean M. Devine, Nathaniel D. Bastian
    http://arxiv.org/abs/1907.03149v1

    • [cs.LG]Intrinsic Motivation Driven Intuitive Physics Learning using Deep Reinforcement Learning with Intrinsic Reward Normalization
    JaeWon Choi, Sung-eui Yoon
    http://arxiv.org/abs/1907.03116v1

    • [cs.LG]Jointly Aligning and Predicting Continuous Emotion Annotations
    Soheil Khorram, Melvin G McInnis, Emily Mower Provost
    http://arxiv.org/abs/1907.03050v1

    • [cs.LG]Learning a Behavioral Repertoire from Demonstrations
    Niels Justesen, Miguel Gonzalez Duque, Daniel Cabarcas Jaramillo, Jean-Baptiste Mouret, Sebastian Risi
    http://arxiv.org/abs/1907.03046v1

    • [cs.LG]Multivariate-Information Adversarial Ensemble for Scalable Joint Distribution Matching
    Ziliang Chen, Zhanfu Yang, Xiaoxi Wang, Xiaodan Liang, Xiaopeng Yan, Guanbin Li, Liang Lin
    http://arxiv.org/abs/1907.03426v1

    • [cs.LG]On-Policy Robot Imitation Learning from a Converging Supervisor
    Ashwin Balakrishna, Brijen Thananjeyan, Jonathan Lee, Arsh Zahed, Felix Li, Joseph E. Gonzalez, Ken Goldberg
    http://arxiv.org/abs/1907.03423v1

    • [cs.LG]Physics Informed Extreme Learning Machine (PIELM) — A rapid method for the numerical solution of partial differential equations
    Vikas Dwivedi, Balaji Srinivasan
    http://arxiv.org/abs/1907.03507v1

    • [cs.LG]Playing Flappy Bird via Asynchronous Advantage Actor Critic Algorithm
    Elit Cenk Alp, Mehmet Serdar Guzel
    http://arxiv.org/abs/1907.03098v1

    • [cs.LG]Policy-Gradient Algorithms Have No Guarantees of Convergence in Continuous Action and State Multi-Agent Settings
    Eric Mazumdar, Lillian J. Ratliff, Michael I. Jordan, S. Shankar Sastry
    http://arxiv.org/abs/1907.03712v1

    • [cs.LG]Predicting Customer Call Intent by Analyzing Phone Call Transcripts based on CNN for Multi-Class Classification
    Junmei Zhong, William Li
    http://arxiv.org/abs/1907.03715v1

    • [cs.LG]Privacy-Preserving Classification with Secret Vector Machines
    Valentin Hartmann, Konark Modi, Josep M. Pujol, Robert West
    http://arxiv.org/abs/1907.03373v1

    • [cs.LG]Quantifying Transparency of Machine Learning Systems through Analysis of Contributions
    Iain Barclay, Alun Preece, Ian Taylor, Dinesh Verma
    http://arxiv.org/abs/1907.03483v1

    • [cs.LG]Quantitative $W_1$ Convergence of Langevin-Like Stochastic Processes with Non-Convex Potential State-Dependent Noise
    Xiang Cheng, Peter L. Bartlett, Michael I. Jordan
    http://arxiv.org/abs/1907.03215v1

    • [cs.LG]Quantum-inspired canonical correlation analysis for exponentially large dimensional data
    Naoko Koide-Majima, Kei Majima
    http://arxiv.org/abs/1907.03236v1

    • [cs.LG]Regularizing linear inverse problems with convolutional neural networks
    Reinhard Heckel
    http://arxiv.org/abs/1907.03100v1

    • [cs.LG]Resource-Efficient Computing in Wearable Systems
    Mahdi Pedram, Mahsan Rofouei, Francesco Fraternali, Zhila Esna Ashari, Hassan Ghasemzadeh
    http://arxiv.org/abs/1907.03247v1

    • [cs.LG]Resource-Efficient Wearable Computing for Real-Time Reconfigurable Machine Learning: A Cascading Binary Classification
    Mahdi Pedram, Seyed Ali Rokni, Marjan Nourollahi, Houman Homayoun, Hassan Ghasemzadeh
    http://arxiv.org/abs/1907.03250v1

    • [cs.LG]Self-supervised Learning of Distance Functions for Goal-Conditioned Reinforcement Learning
    Srinivas Venkattaramanujam, Eric Crawford, Thang Doan, Doina Precup
    http://arxiv.org/abs/1907.02998v1

    • [cs.LG]ShrinkML: End-to-End ASR Model Compression Using Reinforcement Learning
    Łukasz Dudziak, Mohamed S. Abdelfattah, Ravichander Vipperla, Stefanos Laskaridis, Nicholas D. Lane
    http://arxiv.org/abs/1907.03540v1

    • [cs.LG]The Price of Interpretability
    Dimitris Bertsimas, Arthur Delarue, Patrick Jaillet, Sebastien Martin
    http://arxiv.org/abs/1907.03419v1

    • [cs.LG]Towards Debugging Deep Neural Networks by Generating Speech Utterances
    Bilal Soomro, Anssi Kanervisto, Trung Ngo Trong, Ville Hautamäki
    http://arxiv.org/abs/1907.03164v1

    • [cs.LG]Towards Robust, Locally Linear Deep Networks
    Guang-He Lee, David Alvarez-Melis, Tommi S. Jaakkola
    http://arxiv.org/abs/1907.03207v1

    • [cs.LG]TrackNet: A Deep Learning Network for Tracking High-speed and Tiny Objects in Sports Applications
    Yu-Chuan Huang, I-No Liao, Ching-Hsuan Chen, Tsì-Uí İk, Wen-Chih Peng
    http://arxiv.org/abs/1907.03698v1

    • [cs.LG]Weakly-supervised Knowledge Graph Alignment with Adversarial Learning
    Meng Qu, Jian Tang, Yoshua Bengio
    http://arxiv.org/abs/1907.03179v1

    • [cs.LG]What graph neural networks cannot learn: depth vs width
    Andreas Loukas
    http://arxiv.org/abs/1907.03199v1

    • [cs.MM]Informative Visual Storytelling with Cross-modal Rules
    Jiacheng Li, Haizhou Shi, Siliang Tang, Fei Wu, Yueting Zhuang
    http://arxiv.org/abs/1907.03240v1

    • [cs.NE]Adaptive Neuro-Surrogate-Based Optimisation Method for Wave Energy Converters Placement Optimisation
    Mehdi, Neshat, Ehsan, Abbasnejad, Qinfeng, Shi, Bradley, Alexander, Markus, Wagner
    http://arxiv.org/abs/1907.03076v1

    • [cs.NE]Takens-inspired neuromorphic processor: a downsizing tool for random recurrent neural networks via feature extraction
    Bicky A. Marquez, Jose Suarez-Vargas, Bhavin J. Shastri
    http://arxiv.org/abs/1907.03122v1

    • [cs.NI]The Fog Development Kit: A Development Platform for SDN-based Edge-Fog Systems
    Colton Powell, Christopher Desiniotis, Behnam Dezfouli
    http://arxiv.org/abs/1907.03081v1

    • [cs.PF]Optimizing Xeon Phi for Interactive Data Analysis
    Chansup Byun, Jeremy Kepner, William Arcand, David Bestor, William Bergeron, Matthew Hubbell, Vijay Gadepally, Michael Houle, Michael Jones, Anne Klein, Lauren Milechin, Peter Michaleas, Julie Mullen, Andrew Prout, Antonio Rosa, Siddharth Samsi, Charles Yee, Albert Reuther
    http://arxiv.org/abs/1907.03195v1

    • [cs.RO]A Review of Robot Learning for Manipulation: Challenges, Representations, and Algorithms
    Oliver Kroemer, Scott Niekum, George Konidaris
    http://arxiv.org/abs/1907.03146v1

    • [cs.RO]Augmenting Knowledge through Statistical, Goal-oriented Human-Robot Dialog
    Saeid Amiri, Sujay Bajracharya, Cihangir Goktolga, Jesse Thomason, Shiqi Zhang
    http://arxiv.org/abs/1907.03390v1

    • [cs.RO]Modeling and Simulation of the Quadrtor Delivery System
    A. M. El-Edkawy, M. A. El-Dosuky
    http://arxiv.org/abs/1907.03716v1

    • [cs.RO]Segway DRIVE Benchmark: Place Recognition and SLAM Data Collected by A Fleet of Delivery Robots
    Jianzhu Huai, Yusen Qin, Fumin Pang, Zichong Chen
    http://arxiv.org/abs/1907.03424v1

    • [cs.RO]System Architecture for Real-time Surface Inspection Using Multiple UAVs
    Van Truong Hoang, Manh Duong Phung, Tran Hiep Dinh, Quang P. Ha
    http://arxiv.org/abs/1907.03305v1

    • [cs.RO]Time Distance: A Novel Collision Prediction and Path Planning Method
    Ali Analooee, Shahram Azadi, Reza Kazemi
    http://arxiv.org/abs/1907.03244v1

    • [cs.SD]Towards Explainable Music Emotion Recognition: The Route via Mid-level Features
    Shreyan Chowdhury, Andreu Vall, Verena Haunschmid, Gerhard Widmer
    http://arxiv.org/abs/1907.03572v1

    • [cs.SE]MigrationMiner: An Automated Detection Tool of Third-Party Java Library Migration at the Method Level
    Hussein Alrubaye
    http://arxiv.org/abs/1907.02997v1

    • [cs.SI]Network Embedding: on Compression and Learning
    Esra Akbas, Mehmet Aktas
    http://arxiv.org/abs/1907.02811v2

    • [eess.AS]The GDPR & Speech Data: Reflections of Legal and Technology Communities, First Steps towards a Common Understanding
    Andreas Nautsch, Catherine Jasserand, Els Kindt, Massimiliano Todisco, Isabel Trancoso, Nicholas Evans
    http://arxiv.org/abs/1907.03458v1

    • [eess.IV]Adaptive Weighting Depth-variant Deconvolution of Fluorescence Microscopy Images with Convolutional Neural Network
    Da He, De Cai, Jiasheng Zhou, Jiajia Luo, Sung-Liang Chen
    http://arxiv.org/abs/1907.03217v1

    • [eess.IV]An Experimental-based Review of Image Enhancement and Image Restoration Methods for Underwater Imaging
    Yan Wang, Wei Song, Giancarlo Fortino, Lizhe Qi, Wenqiang Zhang, Antonio Liotta
    http://arxiv.org/abs/1907.03246v1

    • [eess.IV]Assessing Reliability and Challenges of Uncertainty Estimations for Medical Image Segmentation
    Alain Jungo, Mauricio Reyes
    http://arxiv.org/abs/1907.03338v1

    • [eess.IV]Dual Adversarial Learning with Attention Mechanism for Fine-grained Medical Image Synthesis
    Dong Nie, Lei Xiang, Qian Wang, Dinggang Shen
    http://arxiv.org/abs/1907.03297v1

    • [eess.IV]FC$^2$N: Fully Channel-Concatenated Network for Single Image Super-Resolution
    Xiaole Zhao, Ying Liao, Ye Li, Tao Zhang, Xueming Zou
    http://arxiv.org/abs/1907.03221v1

    • [eess.IV]Learning joint lesion and tissue segmentation from task-specific hetero-modal datasets
    Reuben Dorent, Wenqi Li, Jinendra Ekanayake, Sebastien Ourselin, Tom Vercauteren
    http://arxiv.org/abs/1907.03327v1

    • [eess.IV]MRI Super-Resolution with Ensemble Learning and Complementary Priors
    Qing Lyu, Hongming Shan, Ge Wang
    http://arxiv.org/abs/1907.03063v1

    • [eess.IV]Perceptual representations of structural information in images: application to quality assessment of synthesized view in FTV scenario
    Ling suiyi, Li Jing, Le Callet Patrick, Wang Junle
    http://arxiv.org/abs/1907.03448v1

    • [eess.IV]Skin Lesion Analyser: An Efficient Seven-Way Multi-Class Skin Cancer Classification Using MobileNet
    Saket S. Chaturvedi, Kajol Gupta, Prakash. S. Prasad
    http://arxiv.org/abs/1907.03220v1

    • [eess.SP]Vertex-Frequency Graph Signal Processing
    Ljubisa Stankovic, Danilo P. Mandic, Milos Dakovic, Bruno Scalzo, Milos Brajovic, Ervin Sejdic, Anthony G. Constantinides
    http://arxiv.org/abs/1907.03471v1

    • [eess.SY]A New Approach to Distributed Hypothesis Testing and Non-Bayesian Learning: Improved Learning Rate and Byzantine-Resilience
    Aritra Mitra, John A. Richards, Shreyas Sundaram
    http://arxiv.org/abs/1907.03588v1

    • [eess.SY]Smart Households Demand Response Management with Micro Grid
    Hossein Mohammadi Rouzbahani, Abolfazl Rahimnezhad, Hadis Karimipour
    http://arxiv.org/abs/1907.03641v1

    • [math.CO]One-step Majority-logic Decoding with Subspace Designs
    Alfred Wassermann
    http://arxiv.org/abs/1907.03344v1

    • [math.CO]Placement Delivery Arrays from Combinations of Strong Edge Colorings
    Jerod Michel, Qi Wang
    http://arxiv.org/abs/1907.03177v1

    • [math.NA]Deep splitting method for parabolic PDEs
    Christian Beck, Sebastian Becker, Patrick Cheridito, Arnulf Jentzen, Ariel Neufeld
    http://arxiv.org/abs/1907.03452v1

    • [math.OC]ReLU Networks as Surrogate Models in Mixed-Integer Linear Programs
    Bjarne Grimstad, Henrik Andersson
    http://arxiv.org/abs/1907.03140v1

    • [math.OC]Robust Guarantees for Perception-Based Control
    Sarah Dean, Nikolai Matni, Benjamin Recht, Vickie Ye
    http://arxiv.org/abs/1907.03680v1

    • [math.PR]Distance from the Nucleus to a Uniformly Random Point in the Typical and the Crofton Cells of the Poisson-Voronoi Tessellation
    Praful D. Mankar, Priyabrata Parida, Harpreet S. Dhillon, Martin Haenggi
    http://arxiv.org/abs/1907.03635v1

    • [math.PR]Posterior Convergence of $α$-Stable Sheets
    Neil K. Chada, Sari. Lasanen, Lassi. Roininen
    http://arxiv.org/abs/1907.03086v1

    • [math.PR]Volume Doubling Condition and a Local Poincaré Inequality on Unweighted Random Geometric Graphs
    Franziska Göbel, Gilles Blanchard
    http://arxiv.org/abs/1907.03192v1

    • [math.ST]Bayes factors with (overly) informative priors
    Richard A Lockhart
    http://arxiv.org/abs/1907.02473v2

    • [math.ST]Convergence Analysis of a Collapsed Gibbs Sampler for Bayesian Vector Autoregressions
    Karl Oskar Ekvall, Galin L. Jones
    http://arxiv.org/abs/1907.03170v1

    • [math.ST]Estimating location parameters in entangled single-sample distributions
    Ankit Pensia, Varun Jog, Po-Ling Loh
    http://arxiv.org/abs/1907.03087v1

    • [math.ST]Improving Lasso for model selection and prediction
    Piotr Pokarowski, Wojciech Rejchel, Agnieszka Soltys, Michal Frej, Jan Mielniczuk
    http://arxiv.org/abs/1907.03025v1

    • [math.ST]On Inferences from Completed Data
    Jamie Haddock, Denali Molitor, Deanna Needell, Sneha Sambandam, Joy Song, Simon Sun
    http://arxiv.org/abs/1907.03028v1

    • [math.ST]On the Glivenko-Cantelli theorem for the functional empirical process using associated sequences
    Harouna Sangare, Gane Samb Lo
    http://arxiv.org/abs/1907.03625v1

    • [math.ST]Testing Mixtures of Discrete Distributions
    Maryam Aliakbarpour, Ravi Kumar, Ronitt Rubinfeld
    http://arxiv.org/abs/1907.03190v1

    • [physics.comp-ph]IRNet: A General Purpose Deep Residual Regression Framework for Materials Discovery
    Dipendra Jha, Logan Ward, Zijiang Yang, Christopher Wolverton, Ian Foster, Wei-keng Liao, Alok Choudhary, Ankit Agrawal
    http://arxiv.org/abs/1907.03222v1

    • [physics.data-an]Precision annealing Monte Carlo methods for statistical data assimilation and machine learning
    Zheng Fang, Adrian S. Wong, Kangbo Hao, Alexander J. A. Ty, Henry D. I. Abarbanel
    http://arxiv.org/abs/1907.03137v1

    • [physics.med-ph]Non-Invasive MGMT Status Prediction in GBM Cancer Using Magnetic Resonance Images (MRI) Radiomics Features: Univariate and Multivariate Machine Learning Radiogenomics Analysis
    Ghasem Hajianfar, Isaac Shiri, Hassan Maleki, Niki Oveisi, Abbass Haghparast, Hamid Abdollahi, Mehrdad Oveisi
    http://arxiv.org/abs/1907.03495v1

    • [physics.soc-ph]Characteristics of human mobility patterns revealed by high-frequency cell-phone position data
    Chen Zhao, An Zeng, Chi Ho Yeung
    http://arxiv.org/abs/1907.03604v1

    • [q-bio.PE]How many groups? A statistical methodology for data-driven partitioning of infectious disease incidence into age-groups
    Rami Yaari, Amit Huppert, Itai Dattner
    http://arxiv.org/abs/1907.03441v1

    • [q-fin.PM]An intelligent financial portfolio trading strategy using deep Q-learning
    Hyungjun Park, Min Kyu Sim, Dong Gu Choi
    http://arxiv.org/abs/1907.03665v1

    • [stat.AP]Causal mechanism of extreme river discharges in the upper Danube basin network
    Linda Mhalla, Valérie Chavez-Demoulin, Debbie J. Dupuis
    http://arxiv.org/abs/1907.03555v1

    • [stat.AP]Filaments of crime: Informing policing via thresholded ridge estimation
    Ben Moews, Jaime R. Argueta Jr., Antonia Gieschen
    http://arxiv.org/abs/1907.03206v1

    • [stat.AP]Investigating some attributes of periodicity in DNA sequences via semi-Markov modelling
    Pavlos Kolias, Alexandra Papadopoulou
    http://arxiv.org/abs/1907.03119v1

    • [stat.ME]A Versatile Estimation Procedure without Estimating the Nonignorable Missingness Mechanism
    Jiwei Zhao, Yanyuan Ma
    http://arxiv.org/abs/1907.03682v1

    • [stat.ME]Bayesian Nonparametric Nonhomogeneous Poisson Process with Applications to USGS Earthquake Data
    Junxian Geng, Wei Shi, Guanyu Hu
    http://arxiv.org/abs/1907.03186v1

    • [stat.ME]Learning a latent pattern of heterogeneity in the innovation rates of a time series of counts
    Helton Graziadei, Hedibert F. Lopes, Paulo C. Marques F
    http://arxiv.org/abs/1907.03155v1

    • [stat.ME]Modeling Symmetric Positive Definite Matrices with An Application to Functional Brain Connectivity
    Zhenhua Lin, Dehan Kong, Qiang Sun
    http://arxiv.org/abs/1907.03385v1

    • [stat.ME]The revisited knockoffs method for variable selection in L1-penalised regressions
    Anne Gégout-Petit, Aurélie Gueudin-Muller, Clémence Karmann
    http://arxiv.org/abs/1907.03153v1

    • [stat.ML]Unbiased estimators for random design regression
    Michał Dereziński, Manfred K. Warmuth, Daniel Hsu
    http://arxiv.org/abs/1907.03411v1

    • [stat.ML]XGBoostLSS — An extension of XGBoost to probabilistic forecasting
    Alexander März
    http://arxiv.org/abs/1907.03178v1