cond-mat.mtrl-sci - 材料科学

    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.GR - 计算机图形学 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.LO - 计算逻辑 cs.RO - 机器人学 cs.SE - 软件工程 cs.SI - 社交网络与信息网络 econ.EM - 计量经济学 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.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 physics.bio-ph - 生物物理 q-bio.MN - 分子网络 q-bio.NC - 神经元与认知 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

    • [cond-mat.mtrl-sci]Machine learning driven synthesis of few-layered WTe2
    • [cs.AI]AI for Explaining Decisions in Multi-Agent Environments
    • [cs.AI]Causality and deceit: Do androids watch action movies?
    • [cs.AI]Contract Statements Knowledge Service for Chatbots
    • [cs.AI]Learning High-order Structural and Attribute information by Knowledge Graph Attention Networks for Enhancing Knowledge Graph Embedding
    • [cs.AI]RLCard: A Toolkit for Reinforcement Learning in Card Games
    • [cs.AI]Strategic Coalitions in Stochastic Games
    • [cs.AI]The Quest for Interpretable and Responsible Artificial Intelligence
    • [cs.AR]hlslib: Software Engineering for Hardware Design
    • [cs.CL]A Closer Look At Feature Space Data Augmentation For Few-Shot Intent Classification
    • [cs.CL]Automatic Quality Estimation for Natural Language Generation: Ranting (Jointly Rating and Ranking)
    • [cs.CL]Controllable Sentence Simplification: Employing Syntactic and Lexical Constraints
    • [cs.CL]Cross-lingual Alignment vs Joint Training: A Comparative Study and A Simple Unified Framework
    • [cs.CL]Efficient Semi-Supervised Learning for Natural Language Understanding by Optimizing Diversity
    • [cs.CL]FUSE: Multi-Faceted Set Expansion by Coherent Clustering of Skip-grams
    • [cs.CL]Find or Classify? Dual Strategy for Slot-Value Predictions on Multi-Domain Dialog State Tracking
    • [cs.CL]Language Transfer for Early Warning of Epidemics from Social Media
    • [cs.CL]Learning Only from Relevant Keywords and Unlabeled Documents
    • [cs.CL]Learning to Contextually Aggregate Multi-Source Supervision for Sequence Labeling
    • [cs.CL]Multi-label Categorization of Accounts of Sexism using a Neural Framework
    • [cs.CL]Multilingual Question Answering from Formatted Text applied to Conversational Agents
    • [cs.CL]Perturbation Sensitivity Analysis to Detect Unintended Model Biases
    • [cs.CL]RC-QED: Evaluating Natural Language Derivations in Multi-Hop Reading Comprehension
    • [cs.CL]Spoken Language Identification using ConvNets
    • [cs.CL]Structured Pruning of Large Language Models
    • [cs.CL]The Daunting Task of Real-World Textual Style Transfer Auto-Evaluation
    • [cs.CL]Universal Adversarial Perturbation for Text Classification
    • [cs.CR]Using NIST Special Publication (SP) 800-171r2/171B to assess and evaluate the Information Security posture of Technology Service Providers who support Covered Entities and/or their Business Associates in the Healthcare Sector
    • [cs.CV]Adaptive and Azimuth-Aware Fusion Network of Multimodal Local Features for 3D Object Detection
    • [cs.CV]AlignNet-3D: Fast Point Cloud Registration of Partially Observed Objects
    • [cs.CV]CATER: A diagnostic dataset for Compositional Actions and TEmporal Reasoning
    • [cs.CV]Cross-modal knowledge distillation for action recognition
    • [cs.CV]Deep localization of protein structures in fluorescence microscopy images
    • [cs.CV]Improving Pedestrian Attribute Recognition With Weakly-Supervised Multi-Scale Attribute-Specific Localization
    • [cs.CV]Learning to Generalize One Sample at a Time with Self-Supervision
    • [cs.CV]MetaPix: Few-Shot Video Retargeting
    • [cs.CV]On Recognizing Texts of Arbitrary Shapes with 2D Self-Attention
    • [cs.CV]Panoptic-DeepLab
    • [cs.CV]Practical License Plate Recognition in Unconstrained Surveillance Systems with Adversarial Super-Resolution
    • [cs.CV]Referring Expression Object Segmentation with Caption-Aware Consistency
    • [cs.CV]Searching for A Robust Neural Architecture in Four GPU Hours
    • [cs.CV]Semi-Supervised Variational Autoencoder for Survival Prediction
    • [cs.CV]Sentiment Analysis from Images of Natural Disasters
    • [cs.CV]Traned Rank Pruning for Efficient Deep Neural Networks
    • [cs.CV]Unconstrained Road Marking Recognition with Generative Adversarial Networks
    • [cs.CV]Visual Indeterminacy in Generative Neural Art
    • [cs.CY]Intelligent Traffic Monitoring Systems for Vehicle Classification: A Survey
    • [cs.DB]LISA: Towards Learned DNA Sequence Search
    • [cs.DC]BigDataSDNSim: A Simulator for Analyzing Big Data Applications in Software-Defined Cloud Data Centers
    • [cs.DC]Graph Sampling with Distributed In-Memory Dataflow Systems
    • [cs.DC]Provenance Data in the Machine Learning Lifecycle in Computational Science and Engineering
    • [cs.DC]Succinct Population Protocols for Presburger Arithmetic
    • [cs.GR]Dialog on a canvas with a machine
    • [cs.IR]Efficient Sketching Algorithm for Sparse Binary Data
    • [cs.IT]Common Throughput Maximization for UAV-Enabled Interference Channel with Wireless Powered Communications
    • [cs.IT]Construction of Const Dimension Code from Two Parallel Versions of Linkage Construction
    • [cs.IT]Joint Design of Measurement Matrix and Sparse Support Recovery Method via Deep Auto-encoder
    • [cs.IT]Optimal few-weight codes from simplicial complexes
    • [cs.LG]A Multi-view Dimensionality Reduction Algorithm Based on Smooth Representation Model
    • [cs.LG]Active Learning with Importance Sampling
    • [cs.LG]Adversarial Training: embedding adversarial perturbations into the parameter space of a neural network to build a robust system
    • [cs.LG]An Anatomy of Graph Neural Networks Going Deep via the Lens of Mutual Information: Exponential Decay vs. Full Preservation
    • [cs.LG]Comparison of Generative Adversarial Networks Architectures Which Reduce Mode Collapse
    • [cs.LG]Deep Structured Mixtures of Gaussian Processes
    • [cs.LG]Defending Neural Backdoors via Generative Distribution Modeling
    • [cs.LG]Domain-Relevant Embeddings for Medical Question Similarity
    • [cs.LG]Efficient Intrinsically Motivated Robotic Grasping with Learning-Adaptive Imagination in Latent Space
    • [cs.LG]Estimating Transfer Entropy via Copula Entropy
    • [cs.LG]Hierarchical Reinforcement Learning with Advantage-Based Auxiliary Rewards
    • [cs.LG]Imitation Learning from Observations by Minimizing Inverse Dynamics Disagreement
    • [cs.LG]Improved Sample Complexities for Deep Networks and Robust Classification via an All-Layer Margin
    • [cs.LG]Integrating Behavior Cloning and Reinforcement Learning for Improved Performance in Sparse Reward Environments
    • [cs.LG]Learning beyond Predefined Label Space via Bayesian Nonparametric Topic Modelling
    • [cs.LG]Learning to Remember from a Multi-Task Teacher
    • [cs.LG]Manifold learning from a teacher’s demonstrations
    • [cs.LG]Membership Model Inversion Attacks for Deep Networks
    • [cs.LG]Model-free prediction of spatiotemporal dynamical systems with recurrent neural networks: Role of network spectral radius
    • [cs.LG]NEURO-DRAM: a 3D recurrent visual attention model for interpretable neuroimaging classification
    • [cs.LG]On the Effects of Pseudo and Quantum Random Number Generators in Soft Computing
    • [cs.LG]On the adequacy of untuned warmup for adaptive optimization
    • [cs.LG]Online Learning Using Only Peer Assessment
    • [cs.LG]Orthogonality Constrained Multi-Head Attention For Keyword Spotting
    • [cs.LG]Out-of-distribution Detection in Classifiers via Generation
    • [cs.LG]PAC-Bayesian Contrastive Unsupervised Representation Learning
    • [cs.LG]Probabilistic Rollouts for Learning Curve Extrapolation Across Hyperparameter Settings
    • [cs.LG]QPyTorch: A Low-Precision Arithmetic Simulation Framework
    • [cs.LG]Rate-Distortion Optimization Guided Autoencoder for Generative Approach with quantitatively measurable latent space
    • [cs.LG]Removing input features via a generative model to explain their attributions to classifier’s decisions
    • [cs.LG]Sequential VAE-LSTM for Anomaly Detection on Time Series
    • [cs.LG]Sparse tree search optimality guarantees in POMDPs with continuous observation spaces
    • [cs.LG]Still no free lunches: the price to pay for tighter PAC-Bayes bounds
    • [cs.LG]Stochastic Implicit Natural Gradient for Black-box Optimization
    • [cs.LG]Straggler-Agnostic and Communication-Efficient Distributed Primal-Dual Algorithm for High-Dimensional Data Mining
    • [cs.LG]Time series classification for varying length series
    • [cs.LG]Transportation Mode Classification from Smartphone Sensors via a Long-Short-Term-Memory Network
    • [cs.LG]Using Neural Networks for Programming by Demonstration
    • [cs.LG]Visual Understanding of Multiple Attributes Learning Model of X-Ray Scattering Images
    • [cs.LG]Who’s responsible? Jointly quantifying the contribution of the learning algorithm and training data
    • [cs.LO]Reflections on “Incremental Cardinality Constraints for MaxSAT”
    • [cs.RO]Asking Easy Questions: A User-Friendly Approach to Active Reward Learning
    • [cs.RO]Assistive Gym: A Physics Simulation Framework for Assistive Robotics
    • [cs.RO]Concepts for End-to-end Augmented Reality based Human-Robot Interaction Systems
    • [cs.RO]Defensive Escort Teams via Multi-Agent Deep Reinforcement Learning
    • [cs.RO]Design, Modelling and Validation of a Novel Extra Slender Continuum Robot for In-situ Inspection and Repair in Aeroengine
    • [cs.RO]From Visual Place Recognition to Navigation: Learning Sample-Efficient Control Policies across Diverse Real World Environments
    • [cs.RO]Jointly Learnable Behavior and Trajectory Planning for Self-Driving Vehicles
    • [cs.RO]Online Simultaneous Semi-Parametric Dynamics Model Learning
    • [cs.RO]Trajectory Optimization for Coordinated Human-Robot Collaboration
    • [cs.SE]Studying Software Engineering Patterns for Designing Machine Learning Systems
    • [cs.SI]Experiments in Inferring Social Networks of Diffusion
    • [cs.SI]Local alliances and rivalries shape near-repeat terror activity of al-Qaeda, ISIS and insurgents
    • [econ.EM]Robust Likelihood Ratio Tests for Incomplete Economic Models
    • [eess.AS]DOA Estimation by DNN-based Denoising and Dereverberation from Sound Intensity Vector
    • [eess.AS]First Order Ambisonics Domain Spatial Augmentation for DNN-based Direction of Arrival Estimation
    • [eess.IV]Agent with Warm Start and Active Termination for Plane Localization in 3D Ultrasound
    • [eess.IV]BitNet: Learning-Based Bit-Depth Expansion
    • [eess.IV]Breathing deformation model — application to multi-resolution abdominal MRI
    • [eess.IV]Image Quality Assessment for Rigid Motion Compensation
    • [eess.IV]Image Super-Resolution via Attention based Back Projection Networks
    • [eess.IV]Machine Learning with Multi-Site Imaging Data: An Empirical Study on the Impact of Scanner Effects
    • [eess.IV]Multi-Stage Pathological Image Classification using Semantic Segmentation
    • [eess.SP]Non-contact Infant Sleep Apnea Detection
    • [eess.SY]Cooperative driving strategy based on naturalitic driving data and non-cooperative MPC
    • [eess.SY]Maxwells Demon: Controlling Entropy via Discrete Ricci Flow Over Networks
    • [math.OC]One Sample Stochastic Frank-Wolfe
    • [math.OC]Two-stage stochastic programming approach for path planning problems under travel time and availability uncertainties
    • [math.PR]Asymptotics of empirical eigenvalues for large separable covariance matrices
    • [math.ST]Efficient Estimation for Random Dot Product Graphs via a One-step Procedure
    • [math.ST]On the rate of concentration of maxima in Gaussian arrays
    • [math.ST]Rate Optimal Variational Bayesian Inference for Sparse DNN
    • [math.ST]Subspace Estimation from Unbalanced and Incomplete Data Matrices: $\ell_{2,\infty}$ Statistical Guarantees
    • [physics.bio-ph]Learning protein conformational space by enforcing physics with convolutions and latent interpolations
    • [q-bio.MN]Modeling of negative protein-protein interactions: methods and experiments
    • [q-bio.NC]Learning Sparse Spatial Codes for Cognitive Mapping Inspired by Entorhinal-Hippocampal Neurocircuit
    • [quant-ph]Monogamy of Temporal Correlations: Witnessing non-Markovianity Beyond Data Processing
    • [stat.AP]Bayesian factor models for multivariate categorical data obtained from questionnaires
    • [stat.CO]Distributed Bayesian Computation for Model Choice
    • [stat.ME]A stacked approach for chained equations multiple imputation incorporating the substantive model
    • [stat.ME]An Unified Semiparametric Approach to Model Lifetime Data with Crossing Survival Curves
    • [stat.ME]Bayesian Diagnostics for Chain Event Graphs
    • [stat.ME]Likelihood-based Inference for Partially Observed Epidemics on Dynamic Networks
    • [stat.ME]Testing for a Change in Mean After Changepoint Detection
    • [stat.ML]Computationally Efficient Tree Variants of Gromov-Wasserstein
    • [stat.ML]Detecting organized eCommerce fraud using scalable categorical clustering
    • [stat.ML]Graph Spectral Embedding for Parsimonious Transmission of Multivariate Time Series
    • [stat.ML]Kernel-Based Approaches for Sequence Modeling: Connections to Neural Methods
    • [stat.ML]Learning from Indirect Observations
    • [stat.ML]Learning from Multiple Corrupted Sources, with Application to Learning from Label Proportions
    • [stat.ML]Learning with minibatch Wasserstein : asymptotic and gradient properties
    • [stat.ML]On Scalable Variant of Wasserstein Barycenter
    • [stat.ML]On the Dualization of Operator-Valued Kernel Machines
    • [stat.ML]Prescribed Generative Adversarial Networks
    • [stat.ML]Robust Dynamic Assortment Optimization in the Presence of Outlier Customers
    • [stat.ML]The Implicit Regularization of Ordinary Least Squares Ensembles

    ·····································

    • [cond-mat.mtrl-sci]Machine learning driven synthesis of few-layered WTe2
    Manzhang Xu, Bijun Tang, Chao Zhu, Yuhao Lu, Chao Zhu, Lu Zheng, Jingyu Zhang, Nannan Han, Yuxi Guo, Jun Di, Pin Song, Yongmin He, Lixing Kang, Zhiyong Zhang, Wu Zhao, Cuntai Guan, Xuewen Wang, Zheng Liu
    http://arxiv.org/abs/1910.04603v1

    • [cs.AI]AI for Explaining Decisions in Multi-Agent Environments
    Amos Azaria, Jelena Fiosina, Maike Greve, Noam Hazon, Lutz Kolbe, Tim-Benjamin Lembcke, Jörg P. Müller, Sören Schleibaum, Mark Vollrath
    http://arxiv.org/abs/1910.04404v1

    • [cs.AI]Causality and deceit: Do androids watch action movies?
    Dusko Pavlovic, Temra Pavlovic
    http://arxiv.org/abs/1910.04383v1

    • [cs.AI]Contract Statements Knowledge Service for Chatbots
    Boris Ruf, Matteo Sammarco, Marcin Detyniecki
    http://arxiv.org/abs/1910.04424v1

    • [cs.AI]Learning High-order Structural and Attribute information by Knowledge Graph Attention Networks for Enhancing Knowledge Graph Embedding
    Wenqiang Liu, Hongyun Cai, Xu Cheng, Sifa Xie, Yipeng Yu, Hanyu Zhang
    http://arxiv.org/abs/1910.03891v2

    • [cs.AI]RLCard: A Toolkit for Reinforcement Learning in Card Games
    Daochen Zha, Kwei-Herng Lai, Yuanpu Cao, Songyi Huang, Ruzhe Wei, Junyu Guo, Xia Hu
    http://arxiv.org/abs/1910.04376v1

    • [cs.AI]Strategic Coalitions in Stochastic Games
    Pavel Naumov, Kevin Ros
    http://arxiv.org/abs/1910.04489v1

    • [cs.AI]The Quest for Interpretable and Responsible Artificial Intelligence
    Vaishak Belle
    http://arxiv.org/abs/1910.04527v1

    • [cs.AR]hlslib: Software Engineering for Hardware Design
    Johannes de Fine Licht, Torsten Hoefler
    http://arxiv.org/abs/1910.04436v1

    • [cs.CL]A Closer Look At Feature Space Data Augmentation For Few-Shot Intent Classification
    Varun Kumar, Hadrien Glaude, Cyprien de Lichy, William Campbell
    http://arxiv.org/abs/1910.04176v1

    • [cs.CL]Automatic Quality Estimation for Natural Language Generation: Ranting (Jointly Rating and Ranking)
    Ondřej Dušek, Karin Sevegnani, Ioannis Konstas, Verena Rieser
    http://arxiv.org/abs/1910.04731v1

    • [cs.CL]Controllable Sentence Simplification: Employing Syntactic and Lexical Constraints
    Jonathan Mallinson, Mirella Lapata
    http://arxiv.org/abs/1910.04387v1

    • [cs.CL]Cross-lingual Alignment vs Joint Training: A Comparative Study and A Simple Unified Framework
    Zirui Wang, Jiateng Xie, Ruochen Xu, Yiming Yang, Graham Neubig, Jaime Carbonell
    http://arxiv.org/abs/1910.04708v1

    • [cs.CL]Efficient Semi-Supervised Learning for Natural Language Understanding by Optimizing Diversity
    Eunah Cho, He Xie, John P. Lalor, Varun Kumar, William M. Campbell
    http://arxiv.org/abs/1910.04196v1

    • [cs.CL]FUSE: Multi-Faceted Set Expansion by Coherent Clustering of Skip-grams
    Wanzheng Zhu, Hongyu Gong, Jiaming Shen, Chao Zhang, Jingbo Shang, Suma Bhat, Jiawei Han
    http://arxiv.org/abs/1910.04345v1

    • [cs.CL]Find or Classify? Dual Strategy for Slot-Value Predictions on Multi-Domain Dialog State Tracking
    Jian-Guo Zhang, Kazuma Hashimoto, Chien-Sheng Wu, Yao Wan, Philip S. Yu, Richard Socher, Caiming Xiong
    http://arxiv.org/abs/1910.03544v2

    • [cs.CL]Language Transfer for Early Warning of Epidemics from Social Media
    Mattias Appelgren, Patrick Schrempf, Matúš Falis, Satoshi Ikeda, Alison Q O’Neil
    http://arxiv.org/abs/1910.04519v1

    • [cs.CL]Learning Only from Relevant Keywords and Unlabeled Documents
    Nontawat Charoenphakdee, Jongyeong Lee, Yiping Jin, Dittaya Wanvarie, Masashi Sugiyama
    http://arxiv.org/abs/1910.04385v1

    • [cs.CL]Learning to Contextually Aggregate Multi-Source Supervision for Sequence Labeling
    Ouyu Lan, Xiao Huang, Bill Yuchen Lin, He Jiang, Liyuan Liu, Xiang Ren
    http://arxiv.org/abs/1910.04289v1

    • [cs.CL]Multi-label Categorization of Accounts of Sexism using a Neural Framework
    Pulkit Parikh, Harika Abburi, Pinkesh Badjatiya, Radhika Krishnan, Niyati Chhaya, Manish Gupta, Vasudeva Varma
    http://arxiv.org/abs/1910.04602v1

    • [cs.CL]Multilingual Question Answering from Formatted Text applied to Conversational Agents
    Wissam Siblini, Charlotte Pasqual, Axel Lavielle, Cyril Cauchois
    http://arxiv.org/abs/1910.04659v1

    • [cs.CL]Perturbation Sensitivity Analysis to Detect Unintended Model Biases
    Vinodkumar Prabhakaran, Ben Hutchinson, Margaret Mitchell
    http://arxiv.org/abs/1910.04210v1

    • [cs.CL]RC-QED: Evaluating Natural Language Derivations in Multi-Hop Reading Comprehension
    Naoya Inoue, Pontus Stenetorp, Kentaro Inui
    http://arxiv.org/abs/1910.04601v1

    • [cs.CL]Spoken Language Identification using ConvNets
    Sarthak, Shikhar Shukla, Govind Mittal
    http://arxiv.org/abs/1910.04269v1

    • [cs.CL]Structured Pruning of Large Language Models
    Ziheng Wang, Jeremy Wohlwend, Tao Lei
    http://arxiv.org/abs/1910.04732v1

    • [cs.CL]The Daunting Task of Real-World Textual Style Transfer Auto-Evaluation
    Richard Yuanzhe Pang
    http://arxiv.org/abs/1910.03747v2

    • [cs.CL]Universal Adversarial Perturbation for Text Classification
    Hang Gao, Tim Oates
    http://arxiv.org/abs/1910.04618v1

    • [cs.CR]Using NIST Special Publication (SP) 800-171r2/171B to assess and evaluate the Information Security posture of Technology Service Providers who support Covered Entities and/or their Business Associates in the Healthcare Sector
    Thomas P. Dover
    http://arxiv.org/abs/1910.04293v1

    • [cs.CV]Adaptive and Azimuth-Aware Fusion Network of Multimodal Local Features for 3D Object Detection
    Yonglin Tian, Kunfeng Wang, Yuang Wang, Yulin Tian, Zilei Wang, Fei-Yue Wang
    http://arxiv.org/abs/1910.04392v1

    • [cs.CV]AlignNet-3D: Fast Point Cloud Registration of Partially Observed Objects
    Johannes Groß, Aljosa Osep, Bastian Leibe
    http://arxiv.org/abs/1910.04668v1

    • [cs.CV]CATER: A diagnostic dataset for Compositional Actions and TEmporal Reasoning
    Rohit Girdhar, Deva Ramanan
    http://arxiv.org/abs/1910.04744v1

    • [cs.CV]Cross-modal knowledge distillation for action recognition
    Fida Mohammad Thoker, Juergen Gall
    http://arxiv.org/abs/1910.04641v1

    • [cs.CV]Deep localization of protein structures in fluorescence microscopy images
    Muhammad Tahir, Saeed Anwar, Ajmal Mian
    http://arxiv.org/abs/1910.04287v1

    • [cs.CV]Improving Pedestrian Attribute Recognition With Weakly-Supervised Multi-Scale Attribute-Specific Localization
    Chufeng Tang, Lu Sheng, Zhaoxiang Zhang, Xiaolin Hu
    http://arxiv.org/abs/1910.04562v1

    • [cs.CV]Learning to Generalize One Sample at a Time with Self-Supervision
    Antonio D’Innocente, Silvia Bucci, Tatiana Tommasi, Barbara Caputo
    http://arxiv.org/abs/1910.03915v2

    • [cs.CV]MetaPix: Few-Shot Video Retargeting
    Jessica Lee, Deva Ramanan, Rohit Girdhar
    http://arxiv.org/abs/1910.04742v1

    • [cs.CV]On Recognizing Texts of Arbitrary Shapes with 2D Self-Attention
    Junyeop Lee, Sungrae Park, Jeonghun Baek, Seong Joon Oh, Seonghyeon Kim, Hwalsuk Lee
    http://arxiv.org/abs/1910.04396v1

    • [cs.CV]Panoptic-DeepLab
    Bowen Cheng, Maxwell D. Collins, Yukun Zhu, Ting Liu, Thomas S. Huang, Hartwig Adam, Liang-Chieh Chen
    http://arxiv.org/abs/1910.04751v1

    • [cs.CV]Practical License Plate Recognition in Unconstrained Surveillance Systems with Adversarial Super-Resolution
    Younkwan Lee, Jiwon Jun, Yoojin Hong, Moongu Jeon
    http://arxiv.org/abs/1910.04324v1

    • [cs.CV]Referring Expression Object Segmentation with Caption-Aware Consistency
    Yi-Wen Chen, Yi-Hsuan Tsai, Tiantian Wang, Yen-Yu Lin, Ming-Hsuan Yang
    http://arxiv.org/abs/1910.04748v1

    • [cs.CV]Searching for A Robust Neural Architecture in Four GPU Hours
    Xuanyi Dong, Yi Yang
    http://arxiv.org/abs/1910.04465v1

    • [cs.CV]Semi-Supervised Variational Autoencoder for Survival Prediction
    Sveinn Pálsson, Stefano Cerri, Andrea Dittadi, Koen Van Leemput
    http://arxiv.org/abs/1910.04488v1

    • [cs.CV]Sentiment Analysis from Images of Natural Disasters
    Syed Zohaib, Kashif Ahmad, Nicola Conci, Ala Al-Fuqaha
    http://arxiv.org/abs/1910.04416v1

    • [cs.CV]Traned Rank Pruning for Efficient Deep Neural Networks
    Yuhui Xu, Yuxi Li, Shuai Zhang, Wei Wen, Botao Wang, Wenrui Dai, Yingyong Qi, Yiran Chen, Weiyao Lin, Hongkai Xiong
    http://arxiv.org/abs/1910.04576v1

    • [cs.CV]Unconstrained Road Marking Recognition with Generative Adversarial Networks
    Younkwan Lee, Juhyun Lee, Yoojin Hong, YeongMin Ko, Moongu Jeon
    http://arxiv.org/abs/1910.04326v1

    • [cs.CV]Visual Indeterminacy in Generative Neural Art
    Aaron Hertzmann
    http://arxiv.org/abs/1910.04639v1

    • [cs.CY]Intelligent Traffic Monitoring Systems for Vehicle Classification: A Survey
    Myounggyu Won
    http://arxiv.org/abs/1910.04656v1

    • [cs.DB]LISA: Towards Learned DNA Sequence Search
    Darryl Ho, Jialin Ding, Sanchit Misra, Nesime Tatbul, Vikram Nathan, Vasimuddin Md, Tim Kraska
    http://arxiv.org/abs/1910.04728v1

    • [cs.DC]BigDataSDNSim: A Simulator for Analyzing Big Data Applications in Software-Defined Cloud Data Centers
    Khaled Alwasel, Rodrigo N. Calheiros, Saurabh Garg, Rajkumar Buyya, Rajiv Ranjan
    http://arxiv.org/abs/1910.04517v1

    • [cs.DC]Graph Sampling with Distributed In-Memory Dataflow Systems
    Kevin Gomez, Matthias Täschner, M. Ali Rostami, Christopher Rost, Erhard Rahm
    http://arxiv.org/abs/1910.04493v1

    • [cs.DC]Provenance Data in the Machine Learning Lifecycle in Computational Science and Engineering
    Renan Souza, Leonardo Azevedo, Vítor Lourenço, Elton Soares, Raphael Thiago, Rafael Brandão, Daniel Civitarese, Emilio Vital Brazil, Marcio Moreno, Patrick Valduriez, Marta Mattoso, Renato Cerqueira, Marco A. S. Netto
    http://arxiv.org/abs/1910.04223v1

    • [cs.DC]Succinct Population Protocols for Presburger Arithmetic
    Michael Blondin, Javier Esparza, Blaise Genest, Martin Helfrich, Stefan Jaax
    http://arxiv.org/abs/1910.04600v1

    • [cs.GR]Dialog on a canvas with a machine
    Vivien Cabannes, Thomas Kerdreux, Louis Thiry, Tina Campana, Charly Ferrandes
    http://arxiv.org/abs/1910.04386v1

    • [cs.IR]Efficient Sketching Algorithm for Sparse Binary Data
    Rameshwar Pratap, Debajyoti Bera, Karthik Revanuru
    http://arxiv.org/abs/1910.04658v1

    • [cs.IT]Common Throughput Maximization for UAV-Enabled Interference Channel with Wireless Powered Communications
    Lifeng Xie, Jie Xu, Yong Zeng
    http://arxiv.org/abs/1910.04403v1

    • [cs.IT]Construction of Const Dimension Code from Two Parallel Versions of Linkage Construction
    Xianmang He
    http://arxiv.org/abs/1910.04472v1

    • [cs.IT]Joint Design of Measurement Matrix and Sparse Support Recovery Method via Deep Auto-encoder
    Shuaichao Li, Wanqing Zhang, Ying Cui, Hei Victor Cheng, Wei Yu
    http://arxiv.org/abs/1910.04330v1

    • [cs.IT]Optimal few-weight codes from simplicial complexes
    Yansheng Wu, Xiaomeng Zhu, Qin Yue
    http://arxiv.org/abs/1910.04334v1

    • [cs.LG]A Multi-view Dimensionality Reduction Algorithm Based on Smooth Representation Model
    Haohao Li, Huibing Wang
    http://arxiv.org/abs/1910.04439v1

    • [cs.LG]Active Learning with Importance Sampling
    Muni Sreenivas Pydi, Vishnu Suresh Lokhande
    http://arxiv.org/abs/1910.04371v1

    • [cs.LG]Adversarial Training: embedding adversarial perturbations into the parameter space of a neural network to build a robust system
    Shixian Wen, Laurent Itti
    http://arxiv.org/abs/1910.04279v1

    • [cs.LG]An Anatomy of Graph Neural Networks Going Deep via the Lens of Mutual Information: Exponential Decay vs. Full Preservation
    Nezihe Merve Gürel, Hansheng Ren, Yujing Wang, Hui Xue, Yaming Yang, Ce Zhang
    http://arxiv.org/abs/1910.04499v1

    • [cs.LG]Comparison of Generative Adversarial Networks Architectures Which Reduce Mode Collapse
    Yicheng, Hong
    http://arxiv.org/abs/1910.04636v1

    • [cs.LG]Deep Structured Mixtures of Gaussian Processes
    Martin Trapp, Robert Peharz, Franz Pernkopf, Carl E. Rasmussen
    http://arxiv.org/abs/1910.04536v1

    • [cs.LG]Defending Neural Backdoors via Generative Distribution Modeling
    Ximing Qiao, Yukun Yang, Hai Li
    http://arxiv.org/abs/1910.04749v1

    • [cs.LG]Domain-Relevant Embeddings for Medical Question Similarity
    Clara McCreery, Namit Katariya, Anitha Kannan, Manish Chablani, Xavier Amatriain
    http://arxiv.org/abs/1910.04192v1

    • [cs.LG]Efficient Intrinsically Motivated Robotic Grasping with Learning-Adaptive Imagination in Latent Space
    Muhammad Burhan Hafez, Cornelius Weber, Matthias Kerzel, Stefan Wermter
    http://arxiv.org/abs/1910.04729v1

    • [cs.LG]Estimating Transfer Entropy via Copula Entropy
    Ma Jian
    http://arxiv.org/abs/1910.04375v1

    • [cs.LG]Hierarchical Reinforcement Learning with Advantage-Based Auxiliary Rewards
    Siyuan Li, Rui Wang, Minxue Tang, Chongjie Zhang
    http://arxiv.org/abs/1910.04450v1

    • [cs.LG]Imitation Learning from Observations by Minimizing Inverse Dynamics Disagreement
    Chao Yang, Xiaojian Ma, Wenbing Huang, Fuchun Sun, Huaping Liu, Junzhou Huang, Chuang Gan
    http://arxiv.org/abs/1910.04417v1

    • [cs.LG]Improved Sample Complexities for Deep Networks and Robust Classification via an All-Layer Margin
    Colin Wei, Tengyu Ma
    http://arxiv.org/abs/1910.04284v1

    • [cs.LG]Integrating Behavior Cloning and Reinforcement Learning for Improved Performance in Sparse Reward Environments
    Vinicius G. Goecks, Gregory M. Gremillion, Vernon J. Lawhern, John Valasek, Nicholas R. Waytowich
    http://arxiv.org/abs/1910.04281v1

    • [cs.LG]Learning beyond Predefined Label Space via Bayesian Nonparametric Topic Modelling
    Changying Du, Fuzhen Zhuang, Jia He, Qing He, Guoping Long
    http://arxiv.org/abs/1910.04420v1

    • [cs.LG]Learning to Remember from a Multi-Task Teacher
    Yuwen Xiong, Mengye Ren, Raquel Urtasun
    http://arxiv.org/abs/1910.04650v1

    • [cs.LG]Manifold learning from a teacher’s demonstrations
    Pei Wang, Arash Givchi, Patrick Shafto
    http://arxiv.org/abs/1910.04615v1

    • [cs.LG]Membership Model Inversion Attacks for Deep Networks
    Samyadeep Basu, Rauf Izmailov, Chris Mesterharm
    http://arxiv.org/abs/1910.04257v1

    • [cs.LG]Model-free prediction of spatiotemporal dynamical systems with recurrent neural networks: Role of network spectral radius
    Junjie Jiang, Ying-Cheng Lai
    http://arxiv.org/abs/1910.04426v1

    • [cs.LG]NEURO-DRAM: a 3D recurrent visual attention model for interpretable neuroimaging classification
    David Wood, James Cole, Thomas Booth
    http://arxiv.org/abs/1910.04721v1

    • [cs.LG]On the Effects of Pseudo and Quantum Random Number Generators in Soft Computing
    Jordan J. Bird, Anikó Ekárt, Diego R. Faria
    http://arxiv.org/abs/1910.04701v1

    • [cs.LG]On the adequacy of untuned warmup for adaptive optimization
    Jerry Ma, Denis Yarats
    http://arxiv.org/abs/1910.04209v1

    • [cs.LG]Online Learning Using Only Peer Assessment
    Yang Liu, David P. Helmbold
    http://arxiv.org/abs/1910.04382v1

    • [cs.LG]Orthogonality Constrained Multi-Head Attention For Keyword Spotting
    Mingu Lee, Jinkyu Lee, Hye Jin Jang, Byeonggeun Kim, Wonil Chang, Kyuwoong Hwang
    http://arxiv.org/abs/1910.04500v1

    • [cs.LG]Out-of-distribution Detection in Classifiers via Generation
    Sachin Vernekar, Ashish Gaurav, Vahdat Abdelzad, Taylor Denouden, Rick Salay, Krzysztof Czarnecki
    http://arxiv.org/abs/1910.04241v1

    • [cs.LG]PAC-Bayesian Contrastive Unsupervised Representation Learning
    Kento Nozawa, Pascal Germain, Benjamin Guedj
    http://arxiv.org/abs/1910.04464v1

    • [cs.LG]Probabilistic Rollouts for Learning Curve Extrapolation Across Hyperparameter Settings
    Matilde Gargiani, Aaron Klein, Stefan Falkner, Frank Hutter
    http://arxiv.org/abs/1910.04522v1

    • [cs.LG]QPyTorch: A Low-Precision Arithmetic Simulation Framework
    Tianyi Zhang, Zhiqiu Lin, Guandao Yang, Christopher De Sa
    http://arxiv.org/abs/1910.04540v1

    • [cs.LG]Rate-Distortion Optimization Guided Autoencoder for Generative Approach with quantitatively measurable latent space
    Keizo Kato, Jing Zhou, Akira Nakagawa
    http://arxiv.org/abs/1910.04329v1

    • [cs.LG]Removing input features via a generative model to explain their attributions to classifier’s decisions
    Chirag Agarwal, Dan Schonfeld, Anh Nguyen
    http://arxiv.org/abs/1910.04256v1

    • [cs.LG]Sequential VAE-LSTM for Anomaly Detection on Time Series
    Run-Qing Chen, Guang-Hui Shi, Wan-Lei Zhao, Chang-Hui Liang
    http://arxiv.org/abs/1910.03818v2

    • [cs.LG]Sparse tree search optimality guarantees in POMDPs with continuous observation spaces
    Michael H. Lim, Claire J. Tomlin, Zachary N. Sunberg
    http://arxiv.org/abs/1910.04332v1

    • [cs.LG]Still no free lunches: the price to pay for tighter PAC-Bayes bounds
    Benjamin Guedj, Louis Pujol
    http://arxiv.org/abs/1910.04460v1

    • [cs.LG]Stochastic Implicit Natural Gradient for Black-box Optimization
    Yueming Lyu, Ivor W. Tsang
    http://arxiv.org/abs/1910.04301v1

    • [cs.LG]Straggler-Agnostic and Communication-Efficient Distributed Primal-Dual Algorithm for High-Dimensional Data Mining
    Zhouyuan Huo, Heng Huang
    http://arxiv.org/abs/1910.04235v1

    • [cs.LG]Time series classification for varying length series
    Chang Wei Tan, Francois Petitjean, Eamonn Keogh, Geoffrey I. Webb
    http://arxiv.org/abs/1910.04341v1

    • [cs.LG]Transportation Mode Classification from Smartphone Sensors via a Long-Short-Term-Memory Network
    Björn Friedrich, Benjamin Cauchy, Andreas Hein, Sebastian Fudickar
    http://arxiv.org/abs/1910.04739v1

    • [cs.LG]Using Neural Networks for Programming by Demonstration
    Karan K. Budhraja, Hang Gao, Tim Oates
    http://arxiv.org/abs/1910.04724v1

    • [cs.LG]Visual Understanding of Multiple Attributes Learning Model of X-Ray Scattering Images
    Xinyi Huang, Suphanut Jamonnak, Ye Zhao, Boyu Wang, Minh Hoai, Kevin Yager, Wei Xu
    http://arxiv.org/abs/1910.04357v1

    • [cs.LG]Who’s responsible? Jointly quantifying the contribution of the learning algorithm and training data
    Gal Yona, Amirata Ghorbani, James Zou
    http://arxiv.org/abs/1910.04214v1

    • [cs.LO]Reflections on “Incremental Cardinality Constraints for MaxSAT”
    Ruben Martins, Saurabh Joshi, Vasco Manquinho, Ines Lynce
    http://arxiv.org/abs/1910.04643v1

    • [cs.RO]Asking Easy Questions: A User-Friendly Approach to Active Reward Learning
    Erdem Bıyık, Malayandi Palan, Nicholas C. Landolfi, Dylan P. Losey, Dorsa Sadigh
    http://arxiv.org/abs/1910.04365v1

    • [cs.RO]Assistive Gym: A Physics Simulation Framework for Assistive Robotics
    Zackory Erickson, Vamsee Gangaram, Ariel Kapusta, C. Karen Liu, Charles C. Kemp
    http://arxiv.org/abs/1910.04700v1

    • [cs.RO]Concepts for End-to-end Augmented Reality based Human-Robot Interaction Systems
    David Puljiz, Björn Hein
    http://arxiv.org/abs/1910.04494v1

    • [cs.RO]Defensive Escort Teams via Multi-Agent Deep Reinforcement Learning
    Arpit Garg, Yazied A. Hasan, Adam Yañez, Lydia Tapia
    http://arxiv.org/abs/1910.04537v1

    • [cs.RO]Design, Modelling and Validation of a Novel Extra Slender Continuum Robot for In-situ Inspection and Repair in Aeroengine
    Mingfeng Wang, Xin Dong, Weiming Ba, Abdelkhalick Mohammad, Dragos Axinte, Andy Norton
    http://arxiv.org/abs/1910.04572v1

    • [cs.RO]From Visual Place Recognition to Navigation: Learning Sample-Efficient Control Policies across Diverse Real World Environments
    Marvin Chancán, Michael Milford
    http://arxiv.org/abs/1910.04335v1

    • [cs.RO]Jointly Learnable Behavior and Trajectory Planning for Self-Driving Vehicles
    Abbas Sadat, Mengye Ren, Andrei Pokrovsky, Yen-Chen Lin, Ersin Yumer, Raquel Urtasun
    http://arxiv.org/abs/1910.04586v1

    • [cs.RO]Online Simultaneous Semi-Parametric Dynamics Model Learning
    Joshua Smith, Michael Mistry
    http://arxiv.org/abs/1910.04297v1

    • [cs.RO]Trajectory Optimization for Coordinated Human-Robot Collaboration
    Adam Fishman, Chris Paxton, Wei Yang, Nathan Ratliff, Dieter Fox
    http://arxiv.org/abs/1910.04339v1

    • [cs.SE]Studying Software Engineering Patterns for Designing Machine Learning Systems
    Hironori Washizaki, Hiromu Uchida, Foutse Khomh, Yann-Gael Gueheneuc
    http://arxiv.org/abs/1910.04736v1

    • [cs.SI]Experiments in Inferring Social Networks of Diffusion
    Daniel Campos, Zoe Konrad
    http://arxiv.org/abs/1910.04277v1

    • [cs.SI]Local alliances and rivalries shape near-repeat terror activity of al-Qaeda, ISIS and insurgents
    Yao-Li Chuang, Noam Ben-Asher, Maria R. D’Orsogna
    http://arxiv.org/abs/1910.04349v1

    • [econ.EM]Robust Likelihood Ratio Tests for Incomplete Economic Models
    Hiroaki Kaido, Yi Zhang
    http://arxiv.org/abs/1910.04610v1

    • [eess.AS]DOA Estimation by DNN-based Denoising and Dereverberation from Sound Intensity Vector
    Masahiro Yasuda, Yuma Koizumi, Luca Mazzon, Shoichiro Saito, Hisashi Uematsu
    http://arxiv.org/abs/1910.04415v1

    • [eess.AS]First Order Ambisonics Domain Spatial Augmentation for DNN-based Direction of Arrival Estimation
    Luca Mazzon, Yuma Koizumi, Masahiro Yasuda, Noboru Harada
    http://arxiv.org/abs/1910.04388v1

    • [eess.IV]Agent with Warm Start and Active Termination for Plane Localization in 3D Ultrasound
    Haoran Dou, Xin Yang, Jikuan Qian, Wufeng Xue, Hao Qin, Xu Wang, Lequan Yu, Shujun Wang, Yi Xiong, Pheng-Ann Heng, Dong Ni
    http://arxiv.org/abs/1910.04331v1

    • [eess.IV]BitNet: Learning-Based Bit-Depth Expansion
    Junyoung Byun, Kyujin Shim, Changick Kim
    http://arxiv.org/abs/1910.04397v1

    • [eess.IV]Breathing deformation model — application to multi-resolution abdominal MRI
    Chompunuch Sarasaen, Soumick Chatterjee, Mario Breitkopf, Domenico Iuso, Georg Rose, Oliver Speck
    http://arxiv.org/abs/1910.04456v1

    • [eess.IV]Image Quality Assessment for Rigid Motion Compensation
    Alexander Preuhs, Michael Manhart, Philipp Roser, Bernhard Stimpel, Christopher Syben, Marios Psychogios, Markus Kowarschik, Andreas Maier
    http://arxiv.org/abs/1910.04254v1

    • [eess.IV]Image Super-Resolution via Attention based Back Projection Networks
    Zhi-Song Liu, Li-Wen Wang, Chu-Tak Li, Wan-Chi Siu, Yui-Lam Chan
    http://arxiv.org/abs/1910.04476v1

    • [eess.IV]Machine Learning with Multi-Site Imaging Data: An Empirical Study on the Impact of Scanner Effects
    Ben Glocker, Robert Robinson, Daniel C. Castro, Qi Dou, Ender Konukoglu
    http://arxiv.org/abs/1910.04597v1

    • [eess.IV]Multi-Stage Pathological Image Classification using Semantic Segmentation
    Shusuke Takahama, Yusuke Kurose, Yusuke Mukuta, Hiroyuki Abe, Masashi Fukayama, Akihiko Yoshizawa, Masanobu Kitagawa, Tatsuya Harada
    http://arxiv.org/abs/1910.04473v1

    • [eess.SP]Non-contact Infant Sleep Apnea Detection
    Gihan Jayatilaka, Harshana Weligampola, Suren Sritharan, Pankayraj Pathmanathan, Roshan Ragel, Isuru Nawinne
    http://arxiv.org/abs/1910.04725v1

    • [eess.SY]Cooperative driving strategy based on naturalitic driving data and non-cooperative MPC
    Rui Liu, Xichan Zhu, Lin Liu, Biao Wu, Zhixiong Ma, Zhiwei Fei, Jingwei He
    http://arxiv.org/abs/1910.04323v1

    • [eess.SY]Maxwells Demon: Controlling Entropy via Discrete Ricci Flow Over Networks
    Romeil Sandhu, Ji Liu
    http://arxiv.org/abs/1910.04560v1

    • [math.OC]One Sample Stochastic Frank-Wolfe
    Mingrui Zhang, Zebang Shen, Aryan Mokhtari, Hamed Hassani, Amin Karbasi
    http://arxiv.org/abs/1910.04322v1

    • [math.OC]Two-stage stochastic programming approach for path planning problems under travel time and availability uncertainties
    Saravanan Venkatachalam, Manish Bansal, Jonathon M. Smereka, Joseph Lee
    http://arxiv.org/abs/1910.04251v1

    • [math.PR]Asymptotics of empirical eigenvalues for large separable covariance matrices
    Tiebin Mi, Robert Caiming Qiu
    http://arxiv.org/abs/1910.04408v1

    • [math.ST]Efficient Estimation for Random Dot Product Graphs via a One-step Procedure
    Fangzheng Xie, Yanxun Xu
    http://arxiv.org/abs/1910.04333v1

    • [math.ST]On the rate of concentration of maxima in Gaussian arrays
    Rafail Kartsioukas, Zheng Gao, Stilian Stoev
    http://arxiv.org/abs/1910.04259v1

    • [math.ST]Rate Optimal Variational Bayesian Inference for Sparse DNN
    Jincheng Bai, Qifan Song, Guang Cheng
    http://arxiv.org/abs/1910.04355v1

    • [math.ST]Subspace Estimation from Unbalanced and Incomplete Data Matrices: $\ell_{2,\infty}$ Statistical Guarantees
    Changxiao Cai, Gen Li, Yuejie Chi, H. Vincent Poor, Yuxin Chen
    http://arxiv.org/abs/1910.04267v1

    • [physics.bio-ph]Learning protein conformational space by enforcing physics with convolutions and latent interpolations
    Venkata K. Ramaswamy, Chris G. Willcocks, Matteo T. Degiacomi
    http://arxiv.org/abs/1910.04543v1

    • [q-bio.MN]Modeling of negative protein-protein interactions: methods and experiments
    Andrea Moscatelli
    http://arxiv.org/abs/1910.04709v1

    • [q-bio.NC]Learning Sparse Spatial Codes for Cognitive Mapping Inspired by Entorhinal-Hippocampal Neurocircuit
    Taiping Zeng, XiaoLi Li, Bailu Si
    http://arxiv.org/abs/1910.04590v1

    • [quant-ph]Monogamy of Temporal Correlations: Witnessing non-Markovianity Beyond Data Processing
    Matheus Capela, Lucas C. Céleri, Kavan Modi, Rafael Chaves
    http://arxiv.org/abs/1910.04236v1

    • [stat.AP]Bayesian factor models for multivariate categorical data obtained from questionnaires
    Vitor G. C. da Silva, Kelly C. M. Gonçalves, João B. M. Pereira
    http://arxiv.org/abs/1910.04283v1

    • [stat.CO]Distributed Bayesian Computation for Model Choice
    Alexander Buchholz, Daniel Ahfock, Sylvia Richardson
    http://arxiv.org/abs/1910.04672v1

    • [stat.ME]A stacked approach for chained equations multiple imputation incorporating the substantive model
    Lauren Beesley, Jeremy M G Taylor
    http://arxiv.org/abs/1910.04625v1

    • [stat.ME]An Unified Semiparametric Approach to Model Lifetime Data with Crossing Survival Curves
    Fabio N. Demarqui, Vinicius D. Mayrink, Sujit K. Ghosh
    http://arxiv.org/abs/1910.04475v1

    • [stat.ME]Bayesian Diagnostics for Chain Event Graphs
    Rachel L. Wilkerson, Jim Q. Smith
    http://arxiv.org/abs/1910.04679v1

    • [stat.ME]Likelihood-based Inference for Partially Observed Epidemics on Dynamic Networks
    Fan Bu, Allison E. Aiello, Jason Xu, Alexander Volfovsky
    http://arxiv.org/abs/1910.04221v1

    • [stat.ME]Testing for a Change in Mean After Changepoint Detection
    Sean Jewell, Paul Fearnhead, Daniela Witten
    http://arxiv.org/abs/1910.04291v1

    • [stat.ML]Computationally Efficient Tree Variants of Gromov-Wasserstein
    Tam Le, Nhat Ho, Makoto Yamada
    http://arxiv.org/abs/1910.04462v1

    • [stat.ML]Detecting organized eCommerce fraud using scalable categorical clustering
    Samuel Marchal, Sebastian Szyller
    http://arxiv.org/abs/1910.04514v1

    • [stat.ML]Graph Spectral Embedding for Parsimonious Transmission of Multivariate Time Series
    Lihan Yao, Paul Bendich
    http://arxiv.org/abs/1910.04689v1

    • [stat.ML]Kernel-Based Approaches for Sequence Modeling: Connections to Neural Methods
    Kevin J Liang, Guoyin Wang, Yitong Li, Ricardo Henao, Lawrence Carin
    http://arxiv.org/abs/1910.04233v1

    • [stat.ML]Learning from Indirect Observations
    Yivan Zhang, Nontawat Charoenphakdee, Masashi Sugiyama
    http://arxiv.org/abs/1910.04394v1

    • [stat.ML]Learning from Multiple Corrupted Sources, with Application to Learning from Label Proportions
    Clayton Scott, Jianxin Zhang
    http://arxiv.org/abs/1910.04665v1

    • [stat.ML]Learning with minibatch Wasserstein : asymptotic and gradient properties
    Kilian Fatras, Younes Zine, Rémi Flamary, Rémi Gribonval, Nicolas Courty
    http://arxiv.org/abs/1910.04091v2

    • [stat.ML]On Scalable Variant of Wasserstein Barycenter
    Tam Le, Viet Huynh, Nhat Ho, Dinh Phung, Makoto Yamada
    http://arxiv.org/abs/1910.04483v1

    • [stat.ML]On the Dualization of Operator-Valued Kernel Machines
    Pierre Laforgue, Alex Lambert, Luc Motte, Florence d’Alché-Buc
    http://arxiv.org/abs/1910.04621v1

    • [stat.ML]Prescribed Generative Adversarial Networks
    Adji B. Dieng, Francisco J. R. Ruiz, David M. Blei, Michalis K. Titsias
    http://arxiv.org/abs/1910.04302v1

    • [stat.ML]Robust Dynamic Assortment Optimization in the Presence of Outlier Customers
    Xi Chen, Akshay Krishnamurthy, Yining Wang
    http://arxiv.org/abs/1910.04183v1

    • [stat.ML]The Implicit Regularization of Ordinary Least Squares Ensembles
    Daniel LeJeune, Hamid Javadi, Richard G. Baraniuk
    http://arxiv.org/abs/1910.04743v1