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
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• [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