astro-ph.IM - 仪器仪表和天体物理学方法 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.ET - 新兴技术 cs.GT - 计算机科学与博弈论 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.RO - 机器人学 cs.SD - 声音处理 cs.SI - 社交网络与信息网络 eess.IV - 图像与视频处理 gr-qc - 广义相对论与量子宇宙学 math.AT - 代数拓扑 math.FA - 泛函演算 math.ST - 统计理论 physics.chem-ph -化学物理 q-fin.PM - 投资组合管理 q-fin.TR - 贸易与市场微观结构 quant-ph - 量子物理 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [astro-ph.IM]Multilevel and hierarchical Bayesian modeling of cosmic populations
    • [cs.AI]Analysis of Explainers of Black Box Deep Neural Networks for Computer Vision: A Survey
    • [cs.AI]Automated Peer-to-peer Negotiation for Energy Contract Settlements in Residential Cooperatives
    • [cs.AI]Learning Neural Search Policies for Classical Planning
    • [cs.AI]Property Invariant Embedding for Automated Reasoning
    • [cs.CL]A Vietnamese Question Answering System
    • [cs.CL]AIPNet: Generative Adversarial Pre-training of Accent-invariant Networks for End-to-end Speech Recognition
    • [cs.CL]Do Attention Heads in BERT Track Syntactic Dependencies?
    • [cs.CL]Evaluating Commonsense in Pre-trained Language Models
    • [cs.CL]Findings of the 2016 WMT Shared Task on Cross-lingual Pronoun Prediction
    • [cs.CL]JEC-QA: A Legal-Domain Question Answering Dataset
    • [cs.CL]Jejueo Datasets for Machine Translation and Speech Synthesis
    • [cs.CL]Large-Scale Noun Compound Interpretation Using Bootstrapping and the Web as a Corpus
    • [cs.CL]Neural Machine Translation with Explicit Phrase Alignment
    • [cs.CL]NorNE: Annotating Named Entities for Norwegian
    • [cs.CL]SAMSum Corpus: A Human-annotated Dialogue Dataset for Abstractive Summarization
    • [cs.CL]Self-Attention Enhanced Selective Gate with Entity-Aware Embedding for Distantly Supervised Relation Extraction
    • [cs.CL]Sideways Transliteration: How to Transliterate Multicultural Person Names?
    • [cs.CL]Simultaneous Neural Machine Translation using Connectionist Temporal Classification
    • [cs.CL]Single Headed Attention RNN: Stop Thinking With Your Head
    • [cs.CL]Taking a Stance on Fake News: Towards Automatic Disinformation Assessment via Deep Bidirectional Transformer Language Models for Stance Detection
    • [cs.CL]Zero-shot Chinese Discourse Dependency Parsing via Cross-lingual Mapping
    • [cs.CL]word2word: A Collection of Bilingual Lexicons for 3,564 Language Pairs
    • [cs.CR]Deep Reinforcement Learning based Adaptive Moving Target Defense
    • [cs.CR]Local Model Poisoning Attacks to Byzantine-Robust Federated Learning
    • [cs.CR]Moving Fast and Breaking Things: How to stop crashing more than twice
    • [cs.CR]Reviewing and Improving the Gaussian Mechanism for Differential Privacy
    • [cs.CR]Survey of Attacks and Defenses on Edge-Deployed Neural Networks
    • [cs.CV]AdaSample: Adaptive Sampling of Hard Positives for Descriptor Learning
    • [cs.CV]AdapNet: Adaptability Decomposing Encoder-Decoder Network for Weakly Supervised Action Recognition and Localization
    • [cs.CV]AttentionGAN: Unpaired Image-to-Image Translation using Attention-Guided Generative Adversarial Networks
    • [cs.CV]CSPNet: A New Backbone that can Enhance Learning Capability of CNN
    • [cs.CV]Calibrated Domain-Invariant Learning for Highly Generalizable Large Scale Re-Identification
    • [cs.CV]Can Attention Masks Improve Adversarial Robustness?
    • [cs.CV]Class-Conditional Domain Adaptation on Semantic Segmentation
    • [cs.CV]Decision Propagation Networks for Image Classification
    • [cs.CV]Deep Stereo using Adaptive Thin Volume Representation with Uncertainty Awareness
    • [cs.CV]Discriminative Adversarial Domain Adaptation
    • [cs.CV]Document Structure Extraction for Forms using Very High Resolution Semantic Segmentation
    • [cs.CV]Exploring Frequency Domain Interpretation of Convolutional Neural Networks
    • [cs.CV]GLA in MediaEval 2018 Emotional Impact of Movies Task
    • [cs.CV]GhostNet: More Features from Cheap Operations
    • [cs.CV]Grapy-ML: Graph Pyramid Mutual Learning for Cross-dataset Human Parsing
    • [cs.CV]In Perfect Shape: Certifiably Optimal 3D Shape Reconstruction from 2D Landmarks
    • [cs.CV]Learning to Match Templates for Unseen Instance Detection
    • [cs.CV]Literature Review of Action Recognition in the Wild
    • [cs.CV]Locality Aware Appearance Metric for Multi-Target Multi-Camera Tracking
    • [cs.CV]LucidDream: Controlled Temporally-Consistent DeepDream on Videos
    • [cs.CV]Methods of Weighted Combination for Text Field Recognition in a Video Stream
    • [cs.CV]MixNMatch: Multifactor Disentanglement and Encoding for Conditional Image Generation
    • [cs.CV]Multi-View Matching Network for 6D Pose Estimation
    • [cs.CV]Multi-view shape estimation of transparent containers
    • [cs.CV]Noise Robust Generative Adversarial Networks
    • [cs.CV]Non-Autoregressive Video Captioning with Iterative Refinement
    • [cs.CV]Orthogonal Convolutional Neural Networks
    • [cs.CV]PanDA: Panoptic Data Augmentation
    • [cs.CV]PointRGCN: Graph Convolution Networks for 3D Vehicles Detection Refinement
    • [cs.CV]Procrustes registration of two-dimensional statistical shape models without correspondences
    • [cs.CV]Recovering Facial Reflectance and Geometry from Multi-view Images
    • [cs.CV]Residual Bi-Fusion Feature Pyramid Network for Accurate Single-shot Object Detection
    • [cs.CV]Semantic Head Enhanced Pedestrian Detection in a Crowd
    • [cs.CV]SpoC: Spoofing Camera Fingerprints
    • [cs.CV]Towards Fairness in Visual Recognition: Effective Strategies for Bias Mitigation
    • [cs.CV]Towards Precise End-to-end Weakly Supervised Object Detection Network
    • [cs.CV]Transfer Learning in Visual and Relational Reasoning
    • [cs.CV]ViewAL: Active Learning with Viewpoint Entropy for Semantic Segmentation
    • [cs.CV]Visual Physics: Discovering Physical Laws from Videos
    • [cs.CY]Fooling with facts: Quantifying anchoring bias through a large-scale online experiment
    • [cs.DC]A Most Irrational Foraging Algorithm
    • [cs.DC]A Scalable Framework for Solving Fractional Diffusion Equations
    • [cs.DC]A Utilization Model for Optimization of Checkpoint Intervals in Distributed Stream Processing Systems
    • [cs.DC]Dynamically Provisioning Cray DataWarp Storage
    • [cs.DC]On the Minimal Set of Inputs Required for Efficient Neuro-Evolved Foraging
    • [cs.DL]Recency predicts bursts in the evolution of author citations
    • [cs.DS]Robustly Clustering a Mixture of Gaussians
    • [cs.ET]Representable Matrices: Enabling High Accuracy Analog Computation for Inference of DNNs using Memristors
    • [cs.GT]Generalizing Complex Hypotheses on Product Distributions: Auctions, Prophet Inequalities, and Pandora’s Problem
    • [cs.HC]Collaboration Drives Individual Productivity
    • [cs.IR]Rethinking the Item Order in Session-based Recommendation with Graph Neural Networks
    • [cs.IT]Holographic MIMO Surfaces for 6G Wireless Networks: Opportunities, Challenges, and Trends
    • [cs.IT]Low density majority codes and the problem of graceful degradation
    • [cs.LG]A Preliminary Study of Disentanglement With Insights on the Inadequacy of Metrics
    • [cs.LG]A tale of two toolkits, report the second: bake off redux. Chapter 1. dictionary based classifiers
    • [cs.LG]Actionable Interpretability through Optimizable Counterfactual Explanations for Tree Ensembles
    • [cs.LG]AdaCare: Explainable Clinical Health Status Representation Learning via Scale-Adaptive Feature Extraction and Recalibration
    • [cs.LG]Adaptive Initialization Method for K-means Algorithm
    • [cs.LG]An Adaptive View of Adversarial Robustness from Test-time Smoothing Defense
    • [cs.LG]An Efficient Machine Learning-based Elderly Fall Detection Algorithm
    • [cs.LG]Approximating the Permanent by Sampling from Adaptive Partitions
    • [cs.LG]Benefits of Jointly Training Autoencoders: An Improved Neural Tangent Kernel Analysis
    • [cs.LG]City2City: Translating Place Representations across Cities
    • [cs.LG]ConCare: Personalized Clinical Feature Embedding via Capturing the Healthcare Context
    • [cs.LG]Control-Tutored Reinforcement Learning: an application to the Herding Problem
    • [cs.LG]Crypto-Oriented Neural Architecture Design
    • [cs.LG]Explaining Models by Propagating Shapley Values of Local Components
    • [cs.LG]Fair DARTS: Eliminating Unfair Advantages in Differentiable Architecture Search
    • [cs.LG]Federated Learning for Ranking Browser History Suggestions
    • [cs.LG]GRIm-RePR: Prioritising Generating Important Features for Pseudo-Rehearsal
    • [cs.LG]High- and Low-level image component decomposition using VAEs for improved reconstruction and anomaly detection
    • [cs.LG]How Much Over-parameterization Is Sufficient to Learn Deep ReLU Networks?
    • [cs.LG]Improving Fictitious Play Reinforcement Learning with Expanding Models
    • [cs.LG]Label Dependent Deep Variational Paraphrase Generation
    • [cs.LG]Lifelong Spectral Clustering
    • [cs.LG]Multi-Range Attentive Bicomponent Graph Convolutional Network for Traffic Forecasting
    • [cs.LG]Multi-label Classification for Automatic Tag Prediction in the Context of Programming Challenges
    • [cs.LG]Novelty Detection Via Blurring
    • [cs.LG]SAG-VAE: End-to-end Joint Inference of Data Representations and Feature Relations
    • [cs.LG]SecureGBM: Secure Multi-Party Gradient Boosting
    • [cs.LG]Single Sample Feature Importance: An Interpretable Algorithm for Low-Level Feature Analysis
    • [cs.LG]Social Attention for Autonomous Decision-Making in Dense Traffic
    • [cs.LG]The Nonstochastic Control Problem
    • [cs.LG]TimeCaps: Capturing Time Series Data with Capsule Networks
    • [cs.LG]Towards Similarity Graphs Constructed by Deep Reinforcement Learning
    • [cs.LG]Your Local GAN: Designing Two Dimensional Local Attention Mechanisms for Generative Models
    • [cs.RO]A selected review on reinforcement learning based control for autonomous underwater vehicles
    • [cs.RO]BLAS: Broadcast Relative Localization and Clock Synchronization for Dynamic Dense Multi-Agent Systems
    • [cs.RO]Following Social Groups: Socially Compliant Autonomous Navigation in Dense Crowds
    • [cs.RO]Hyperproperties for Robotics: Motion Planning via HyperLTL
    • [cs.RO]Model Quality Aware RANSAC: A Robust Camera Motion Estimator
    • [cs.RO]Weakly-Supervised Road Affordances Inference and Learning in Scenes without Traffic Signs
    • [cs.SD]Improving Polyphonic Music Models with Feature-Rich Encoding
    • [cs.SD]SchrödingeRNN: Generative Modeling of Raw Audio as a Continuously Observed Quantum State
    • [cs.SI]Accumulative time-based ranking method to reputation evaluation in information networks
    • [cs.SI]ComHapDet: A Spatial Community Detection Algorithm for Haplotype Assembly
    • [cs.SI]Graph Representation for Face Analysis in Image Collections
    • [cs.SI]The Limited Reach of Fake News on Twitter during 2019 European Elections
    • [eess.IV]Artificial Intelligence for Diagnosis of Skin Cancer: Challenges and Opportunities
    • [eess.IV]Compressed MRI Reconstruction Exploiting a Rotation-Invariant Total Variation Discretization
    • [eess.IV]Data Augmentation Using Adversarial Training for Construction-Equipment Classification
    • [eess.IV]Fully Unsupervised Probabilistic Noise2Void
    • [eess.IV]Leveraging Self-supervised Denoising for Image Segmentation
    • [eess.IV]Multi-Object Portion Tracking in 4D Fluorescence Microscopy Imagery with Deep Feature Maps
    • [eess.IV]Potential of deep features for opinion-unaware, distortion-unaware, no-reference image quality assessment
    • [eess.IV]Shearlets as Feature Extractor for Semantic Edge Detection: The Model-Based and Data-Driven Realm
    • [gr-qc]Enabling real-time multi-messenger astrophysics discoveries with deep learning
    • [math.AT]Topological Machine Learning for Multivariate Time Series
    • [math.FA]Composition operators on reproducing kernel Hilbert spaces with analytic positive definite functions
    • [math.ST]K-MACE and Kernel K-MACE Clustering
    • [math.ST]On Robust Pseudo-Bayes Estimation for the Independent Non-homogeneous Set-up
    • [math.ST]Spike and Slab Pólya tree posterior distributions
    • [physics.chem-ph]Neural Network Based in Silico Simulation of Combustion Reactions
    • [q-fin.PM]Dynamic Portfolio Management with Reinforcement Learning
    • [q-fin.TR]Cryptocurrency Price Prediction and Trading Strategies Using Support Vector Machines
    • [quant-ph]Infinite Families of Quantum-Classical Hybrid Codes
    • [stat.AP]A fractional Brownian — Hawkes model for the Italian electricity spot market: estimation and forecasting
    • [stat.AP]Confounding and Regression Adjustment in Difference-in-Differences
    • [stat.ME]A race-DC in Big Data
    • [stat.ME]Fréchet Change Point Detection
    • [stat.ME]LSAR: Efficient Leverage Score Sampling Algorithm for the Analysis of Big Time Series Data
    • [stat.ME]LqRT: Robust Hypothesis Testing of Location Parameters using Lq-Likelihood-Ratio-Type Test in Python
    • [stat.ME]Modeling Spectral Properties in Stationary Processes of Varying Dimensions with Applications to Brain Local Field Potential Signals
    • [stat.ME]Modeling excess hazard with time—to—cure as a parameter
    • [stat.ME]Strong structure recovery for partially observed discrete Markov random fields on graphs
    • [stat.ME]The bivariate $K$-finite normal mixture “blanket” copula: an application to driving patterns
    • [stat.ML]Contrastive Learning of Structured World Models
    • [stat.ML]Sifted Randomized Singular Value Decomposition
    • [stat.ML]Stable Matrix Completion using Properly Configured Kronecker Product Decomposition
    • [stat.ML]Trading Convergence Rate with Computational Budget in High Dimensional Bayesian Optimization

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

    • [astro-ph.IM]Multilevel and hierarchical Bayesian modeling of cosmic populations
    Thomas J. Loredo, Martin A. Hendry
    http://arxiv.org/abs/1911.12337v1

    • [cs.AI]Analysis of Explainers of Black Box Deep Neural Networks for Computer Vision: A Survey
    Vanessa Buhrmester, David Münch, Michael Arens
    http://arxiv.org/abs/1911.12116v1

    • [cs.AI]Automated Peer-to-peer Negotiation for Energy Contract Settlements in Residential Cooperatives
    Shantanu Chakraborty, Tim Baarslag, Michael Kaisers
    http://arxiv.org/abs/1911.12303v1

    • [cs.AI]Learning Neural Search Policies for Classical Planning
    Pawel Gomoluch, Dalal Alrajeh, Alessandra Russo, Antonio Bucchiarone
    http://arxiv.org/abs/1911.12200v1

    • [cs.AI]Property Invariant Embedding for Automated Reasoning
    Miroslav Olšák, Cezary Kaliszyk, Josef Urban
    http://arxiv.org/abs/1911.12073v1

    • [cs.CL]A Vietnamese Question Answering System
    Dai Quoc Nguyen, Dat Quoc Nguyen, Son Bao Pham
    http://arxiv.org/abs/1911.12267v1

    • [cs.CL]AIPNet: Generative Adversarial Pre-training of Accent-invariant Networks for End-to-end Speech Recognition
    Yi-Chen Chen, Zhaojun Yang, Ching-Feng Yeh, Mahaveer Jain, Michael L. Seltzer
    http://arxiv.org/abs/1911.11935v1

    • [cs.CL]Do Attention Heads in BERT Track Syntactic Dependencies?
    Phu Mon Htut, Jason Phang, Shikha Bordia, Samuel R. Bowman
    http://arxiv.org/abs/1911.12246v1

    • [cs.CL]Evaluating Commonsense in Pre-trained Language Models
    Xuhui Zhou, Yue Zhang, Leyang Cui, Dandan Huang
    http://arxiv.org/abs/1911.11931v1

    • [cs.CL]Findings of the 2016 WMT Shared Task on Cross-lingual Pronoun Prediction
    Liane Guillou, Christian Hardmeier, Preslav Nakov, Sara Stymne, Jörg Tiedemann, Yannick Versley, Mauro Cettolo, Bonnie Webber, Andrei Popescu-Belis
    http://arxiv.org/abs/1911.12091v1

    • [cs.CL]JEC-QA: A Legal-Domain Question Answering Dataset
    Haoxi Zhong, Chaojun Xiao, Cunchao Tu, Tianyang Zhang, Zhiyuan Liu, Maosong Sun
    http://arxiv.org/abs/1911.12011v1

    • [cs.CL]Jejueo Datasets for Machine Translation and Speech Synthesis
    Kyubyong Park, Yo Joong Choe, Jiyeon Ham
    http://arxiv.org/abs/1911.12071v1

    • [cs.CL]Large-Scale Noun Compound Interpretation Using Bootstrapping and the Web as a Corpus
    Su Nam Kim, Preslav Nakov
    http://arxiv.org/abs/1911.12085v1

    • [cs.CL]Neural Machine Translation with Explicit Phrase Alignment
    Jiacheng Zhang, Huanbo Luan, Maosong Sun, FeiFei Zhai, Jingfang Xu, Yang Liu
    http://arxiv.org/abs/1911.11520v2

    • [cs.CL]NorNE: Annotating Named Entities for Norwegian
    Fredrik Jørgensen, Tobias Aasmoe, Anne-Stine Ruud Husevåg, Lilja Øvrelid, Erik Velldal
    http://arxiv.org/abs/1911.12146v1

    • [cs.CL]SAMSum Corpus: A Human-annotated Dialogue Dataset for Abstractive Summarization
    Bogdan Gliwa, Iwona Mochol, Maciej Biesek, Aleksander Wawer
    http://arxiv.org/abs/1911.12237v1

    • [cs.CL]Self-Attention Enhanced Selective Gate with Entity-Aware Embedding for Distantly Supervised Relation Extraction
    Yang Li, Guodong Long, Tao Shen, Tianyi Zhou, Lina Yao, Huan Huo, Jing Jiang
    http://arxiv.org/abs/1911.11899v1

    • [cs.CL]Sideways Transliteration: How to Transliterate Multicultural Person Names?
    Raphael Cohen, Michael Elhadad
    http://arxiv.org/abs/1911.12022v1

    • [cs.CL]Simultaneous Neural Machine Translation using Connectionist Temporal Classification
    Katsuki Chousa, Katsuhito Sudoh, Satoshi Nakamura
    http://arxiv.org/abs/1911.11933v1

    • [cs.CL]Single Headed Attention RNN: Stop Thinking With Your Head
    Stephen Merity
    http://arxiv.org/abs/1911.11423v2

    • [cs.CL]Taking a Stance on Fake News: Towards Automatic Disinformation Assessment via Deep Bidirectional Transformer Language Models for Stance Detection
    Chris Dulhanty, Jason L. Deglint, Ibrahim Ben Daya, Alexander Wong
    http://arxiv.org/abs/1911.11951v1

    • [cs.CL]Zero-shot Chinese Discourse Dependency Parsing via Cross-lingual Mapping
    Yi Cheng, Sujian Li
    http://arxiv.org/abs/1911.12014v1

    • [cs.CL]word2word: A Collection of Bilingual Lexicons for 3,564 Language Pairs
    Yo Joong Choe, Kyubyong Park, Dongwoo Kim
    http://arxiv.org/abs/1911.12019v1

    • [cs.CR]Deep Reinforcement Learning based Adaptive Moving Target Defense
    Taha Eghtesad, Yevgeniy Vorobeychik, Aron Laszka
    http://arxiv.org/abs/1911.11972v1

    • [cs.CR]Local Model Poisoning Attacks to Byzantine-Robust Federated Learning
    Minghong Fang, Xiaoyu Cao, Jinyuan Jia, Neil Zhenqiang Gong
    http://arxiv.org/abs/1911.11815v1

    • [cs.CR]Moving Fast and Breaking Things: How to stop crashing more than twice
    Tobias Fiebig
    http://arxiv.org/abs/1911.12139v1

    • [cs.CR]Reviewing and Improving the Gaussian Mechanism for Differential Privacy
    Jun Zhao, Teng Wang, Tao Bai, Kwok-Yan Lam, Xuebin Ren, Xinyu Yang, Shuyu Shi, Yang Liu, Han Yu
    http://arxiv.org/abs/1911.12060v1

    • [cs.CR]Survey of Attacks and Defenses on Edge-Deployed Neural Networks
    Mihailo Isakov, Vijay Gadepally, Karen M. Gettings, Michel A. Kinsy
    http://arxiv.org/abs/1911.11932v1

    • [cs.CV]AdaSample: Adaptive Sampling of Hard Positives for Descriptor Learning
    Xin-Yu Zhang, Le Zhang, Zao-Yi Zheng, Yun Liu, Jia-Wang Bian, Ming-Ming Cheng
    http://arxiv.org/abs/1911.12110v1

    • [cs.CV]AdapNet: Adaptability Decomposing Encoder-Decoder Network for Weakly Supervised Action Recognition and Localization
    Xiao-Yu Zhang, Changsheng Li, Haichao Shi, Xiaobin Zhu, Peng Li, Jing Dong
    http://arxiv.org/abs/1911.11961v1

    • [cs.CV]AttentionGAN: Unpaired Image-to-Image Translation using Attention-Guided Generative Adversarial Networks
    Hao Tang, Hong Liu, Dan Xu, Philip H. S. Torr, Nicu Sebe
    http://arxiv.org/abs/1911.11897v1

    • [cs.CV]CSPNet: A New Backbone that can Enhance Learning Capability of CNN
    Chien-Yao Wang, Hong-Yuan Mark Liao, I-Hau Yeh, Yueh-Hua Wu, Ping-Yang Chen, Jun-Wei Hsieh
    http://arxiv.org/abs/1911.11929v1

    • [cs.CV]Calibrated Domain-Invariant Learning for Highly Generalizable Large Scale Re-Identification
    Ye Yuan, Wuyang Chen, Tianlong Chen, Yang Yang, Zhou Ren, Zhangyang Wang, Gang Hua
    http://arxiv.org/abs/1911.11314v2

    • [cs.CV]Can Attention Masks Improve Adversarial Robustness?
    Pratik Vaishnavi, Tianji Cong, Kevin Eykholt, Atul Prakash, Amir Rahmati
    http://arxiv.org/abs/1911.11946v1

    • [cs.CV]Class-Conditional Domain Adaptation on Semantic Segmentation
    Yue Wang, Yuke Li, James H. Elder, Runmin Wu, Huchuan Lu
    http://arxiv.org/abs/1911.11981v1

    • [cs.CV]Decision Propagation Networks for Image Classification
    Keke Tang, Peng Song, Yuexin Ma, Zhaoquan Gu, Yu Su, Zhihong Tian, Wenping Wang
    http://arxiv.org/abs/1911.12101v1

    • [cs.CV]Deep Stereo using Adaptive Thin Volume Representation with Uncertainty Awareness
    Shuo Cheng, Zexiang Xu, Shilin Zhu, Zhuwen Li, Li Erran Li, Ravi Ramamoorthi, Hao Su
    http://arxiv.org/abs/1911.12012v1

    • [cs.CV]Discriminative Adversarial Domain Adaptation
    Hui Tang, Kui Jia
    http://arxiv.org/abs/1911.12036v1

    • [cs.CV]Document Structure Extraction for Forms using Very High Resolution Semantic Segmentation
    Mausoom Sarkar, Milan Aggarwal, Arneh Jain, Hiresh Gupta, Balaji Krishnamurthy
    http://arxiv.org/abs/1911.12170v1

    • [cs.CV]Exploring Frequency Domain Interpretation of Convolutional Neural Networks
    Zhongfan Jia, Chenglong Bao, Kaisheng Ma
    http://arxiv.org/abs/1911.12044v1

    • [cs.CV]GLA in MediaEval 2018 Emotional Impact of Movies Task
    Jennifer J. Sun, Ting Liu, Gautam Prasad
    http://arxiv.org/abs/1911.12361v1

    • [cs.CV]GhostNet: More Features from Cheap Operations
    Kai Han, Yunhe Wang, Qi Tian, Jianyuan Guo, Chunjing Xu, Chang Xu
    http://arxiv.org/abs/1911.11907v1

    • [cs.CV]Grapy-ML: Graph Pyramid Mutual Learning for Cross-dataset Human Parsing
    Haoyu He, Jing Zhang, Qiming Zhang, Dacheng Tao
    http://arxiv.org/abs/1911.12053v1

    • [cs.CV]In Perfect Shape: Certifiably Optimal 3D Shape Reconstruction from 2D Landmarks
    Heng Yang, Luca Carlone
    http://arxiv.org/abs/1911.11924v1

    • [cs.CV]Learning to Match Templates for Unseen Instance Detection
    Jean-Philippe Mercier, Mathieu Garon, Philippe Giguère, Jean-François Lalonde
    http://arxiv.org/abs/1911.11822v1

    • [cs.CV]Literature Review of Action Recognition in the Wild
    Asket Kaur, Navya Rao, Tanya Joon
    http://arxiv.org/abs/1911.12249v1

    • [cs.CV]Locality Aware Appearance Metric for Multi-Target Multi-Camera Tracking
    Yunzhong Hou, Liang Zheng, Zhongdao Wang, Shengjin Wang
    http://arxiv.org/abs/1911.12037v1

    • [cs.CV]LucidDream: Controlled Temporally-Consistent DeepDream on Videos
    Joel Ruben Antony Moniz, Eunsu Kang, Barnabás Póczos
    http://arxiv.org/abs/1911.11960v1

    • [cs.CV]Methods of Weighted Combination for Text Field Recognition in a Video Stream
    Olga Petrova, Konstantin Bulatov, Vladimir L. Arlazarov
    http://arxiv.org/abs/1911.12028v1

    • [cs.CV]MixNMatch: Multifactor Disentanglement and Encoding for Conditional Image Generation
    Yuheng Li, Krishna Kumar Singh, Utkarsh Ojha, Yong Jae Lee
    http://arxiv.org/abs/1911.11758v2

    • [cs.CV]Multi-View Matching Network for 6D Pose Estimation
    Daniel Mas Montserrat, Jianhang Chen, Qian Lin, Jan P. Allebach, Edward J. Delp
    http://arxiv.org/abs/1911.12330v1

    • [cs.CV]Multi-view shape estimation of transparent containers
    Alessio Xompero, Ricardo Sanchez-Matilla, Apostolos Modas, Pascal Frossard, Andrea Cavallaro
    http://arxiv.org/abs/1911.12354v1

    • [cs.CV]Noise Robust Generative Adversarial Networks
    Takuhiro Kaneko, Tatsuya Harada
    http://arxiv.org/abs/1911.11776v1

    • [cs.CV]Non-Autoregressive Video Captioning with Iterative Refinement
    Bang Yang, Fenglin Liu, Yuexian Zou
    http://arxiv.org/abs/1911.12018v1

    • [cs.CV]Orthogonal Convolutional Neural Networks
    Jiayun Wang, Yubei Chen, Rudrasis Chakraborty, Stella X. Yu
    http://arxiv.org/abs/1911.12207v1

    • [cs.CV]PanDA: Panoptic Data Augmentation
    Yang Liu, Pietro Perona, Markus Meister
    http://arxiv.org/abs/1911.12317v1

    • [cs.CV]PointRGCN: Graph Convolution Networks for 3D Vehicles Detection Refinement
    Jesus Zarzar, Silvio Giancola, Bernard Ghanem
    http://arxiv.org/abs/1911.12236v1

    • [cs.CV]Procrustes registration of two-dimensional statistical shape models without correspondences
    Alma Eguizabal, Peter J. Schreier, Jürgen Schmidt
    http://arxiv.org/abs/1911.11431v2

    • [cs.CV]Recovering Facial Reflectance and Geometry from Multi-view Images
    Guoxian Song, Jianmin Zheng, Jianfei Cai, Tat-Jen Cham
    http://arxiv.org/abs/1911.11999v1

    • [cs.CV]Residual Bi-Fusion Feature Pyramid Network for Accurate Single-shot Object Detection
    Ping-Yang Chen, Jun-Wei Hsieh, Chien-Yao Wang, Mark Hong-Yuan Liao, Munkhjargal Gochoo
    http://arxiv.org/abs/1911.12051v1

    • [cs.CV]Semantic Head Enhanced Pedestrian Detection in a Crowd
    Ruiqi Lu, Huimin Ma
    http://arxiv.org/abs/1911.11985v1

    • [cs.CV]SpoC: Spoofing Camera Fingerprints
    Davide Cozzolino, Justus Thies, Andreas Rössler, Matthias Nießner, Luisa Verdoliva
    http://arxiv.org/abs/1911.12069v1

    • [cs.CV]Towards Fairness in Visual Recognition: Effective Strategies for Bias Mitigation
    Zeyu Wang, Klint Qinami, Yannis Karakozis, Kyle Genova, Prem Nair, Kenji Hata, Olga Russakovsky
    http://arxiv.org/abs/1911.11834v1

    • [cs.CV]Towards Precise End-to-end Weakly Supervised Object Detection Network
    Ke Yang, Dongsheng Li, Yong Dou
    http://arxiv.org/abs/1911.12148v1

    • [cs.CV]Transfer Learning in Visual and Relational Reasoning
    T. S. Jayram, Vincent Marois, Tomasz Kornuta, Vincent Albouy, Emre Sevgen, Ahmet S. Ozcan
    http://arxiv.org/abs/1911.11938v1

    • [cs.CV]ViewAL: Active Learning with Viewpoint Entropy for Semantic Segmentation
    Yawar Siddiqui, Julien Valentin, Matthias Nießner
    http://arxiv.org/abs/1911.11789v1

    • [cs.CV]Visual Physics: Discovering Physical Laws from Videos
    Pradyumna Chari, Chinmay Talegaonkar, Yunhao Ba, Achuta Kadambi
    http://arxiv.org/abs/1911.11893v1

    • [cs.CY]Fooling with facts: Quantifying anchoring bias through a large-scale online experiment
    Taha Yasseri, Jannie Reher
    http://arxiv.org/abs/1911.12275v1

    • [cs.DC]A Most Irrational Foraging Algorithm
    Abhinav Aggarwal, William F. Vining, Diksha Gupta, Jared Saia, Melanie E. Moses
    http://arxiv.org/abs/1911.11973v1

    • [cs.DC]A Scalable Framework for Solving Fractional Diffusion Equations
    Max Carlson, Robert M. Kirby, Hari Sundar
    http://arxiv.org/abs/1911.11906v1

    • [cs.DC]A Utilization Model for Optimization of Checkpoint Intervals in Distributed Stream Processing Systems
    Sachini Jayasekara, Aaron Harwood, Shanika Karunasekera
    http://arxiv.org/abs/1911.11915v1

    • [cs.DC]Dynamically Provisioning Cray DataWarp Storage
    François Tessier, Maxime Martinasso, Matteo Chesi, Mark Klein, Miguel Gila
    http://arxiv.org/abs/1911.12162v1

    • [cs.DC]On the Minimal Set of Inputs Required for Efficient Neuro-Evolved Foraging
    John Erickson, Abhinav Aggarwal, Melanie E. Moses
    http://arxiv.org/abs/1911.11974v1

    • [cs.DL]Recency predicts bursts in the evolution of author citations
    Filipi Nascimento Silva, Aditya Tandon, Diego Raphael Amancio, Alessandro Flammini, Filippo Menczer, Staša Milojević, Santo Fortunato
    http://arxiv.org/abs/1911.11926v1

    • [cs.DS]Robustly Clustering a Mixture of Gaussians
    He Jia, Santosh Vempala
    http://arxiv.org/abs/1911.11838v1

    • [cs.ET]Representable Matrices: Enabling High Accuracy Analog Computation for Inference of DNNs using Memristors
    Baogang Zhang, Necati Uysal, Deliang Fan, Rickard Ewetz
    http://arxiv.org/abs/1911.12352v1

    • [cs.GT]Generalizing Complex Hypotheses on Product Distributions: Auctions, Prophet Inequalities, and Pandora’s Problem
    Chenghao Guo, Zhiyi Huang, Zhihao Gavin Tang, Xinzhi Zhang
    http://arxiv.org/abs/1911.11936v1

    • [cs.HC]Collaboration Drives Individual Productivity
    Goran Muric, Andres Abeliuk, Kristina Lerman, Emilio Ferrara
    http://arxiv.org/abs/1911.11787v1

    • [cs.IR]Rethinking the Item Order in Session-based Recommendation with Graph Neural Networks
    Qiu Ruihong, Li Jingjing, Huang Zi, Yin Hongzhi
    http://arxiv.org/abs/1911.11942v1

    • [cs.IT]Holographic MIMO Surfaces for 6G Wireless Networks: Opportunities, Challenges, and Trends
    Chongwen Huang, Sha Hu, George C. Alexandropoulos, Alessio Zappone, Chau Yuen, Rui Zhang, Marco Di Renzo, Mérouane Debbah
    http://arxiv.org/abs/1911.12296v1

    • [cs.IT]Low density majority codes and the problem of graceful degradation
    Hajir Roozbehani, Yury Polyanskiy
    http://arxiv.org/abs/1911.12263v1

    • [cs.LG]A Preliminary Study of Disentanglement With Insights on the Inadequacy of Metrics
    Amir H. Abdi, Purang Abolmaesumi, Sidney Fels
    http://arxiv.org/abs/1911.11791v1

    • [cs.LG]A tale of two toolkits, report the second: bake off redux. Chapter 1. dictionary based classifiers
    Anthony Bagnall, James Large, Matthew Middlehurst
    http://arxiv.org/abs/1911.12008v1

    • [cs.LG]Actionable Interpretability through Optimizable Counterfactual Explanations for Tree Ensembles
    Ana Lucic, Harrie Oosterhuis, Hinda Haned, Maarten de Rijke
    http://arxiv.org/abs/1911.12199v1

    • [cs.LG]AdaCare: Explainable Clinical Health Status Representation Learning via Scale-Adaptive Feature Extraction and Recalibration
    Liantao Ma, Junyi Gao, Yasha Wang, Chaohe Zhang, Jiangtao Wang, Wenjie Ruan, Wen Tang, Xin Gao, Xinyu Ma
    http://arxiv.org/abs/1911.12205v1

    • [cs.LG]Adaptive Initialization Method for K-means Algorithm
    Jie Yang, Yu-Kai Wang, Xin Yao, Chin-Teng Lin
    http://arxiv.org/abs/1911.12104v1

    • [cs.LG]An Adaptive View of Adversarial Robustness from Test-time Smoothing Defense
    Chao Tang, Yifei Fan, Anthony Yezzi
    http://arxiv.org/abs/1911.11881v1

    • [cs.LG]An Efficient Machine Learning-based Elderly Fall Detection Algorithm
    Faisal Hussain, Muhammad Basit Umair, Muhammad Ehatisham-ul-Haq, Ivan Miguel Pires, Tânia Valente, Nuno M. Garcia, Nuno Pombo
    http://arxiv.org/abs/1911.11976v1

    • [cs.LG]Approximating the Permanent by Sampling from Adaptive Partitions
    Jonathan Kuck, Tri Dao, Hamid Rezatofighi, Ashish Sabharwal, Stefano Ermon
    http://arxiv.org/abs/1911.11856v1

    • [cs.LG]Benefits of Jointly Training Autoencoders: An Improved Neural Tangent Kernel Analysis
    Thanh V. Nguyen, Raymond K. W. Wong, Chinmay Hegde
    http://arxiv.org/abs/1911.11983v1

    • [cs.LG]City2City: Translating Place Representations across Cities
    Takahiro Yabe, Kota Tsubouchi, Toru Shimizu, Yoshihide Sekimoto, Satish V. Ukkusuri
    http://arxiv.org/abs/1911.12143v1

    • [cs.LG]ConCare: Personalized Clinical Feature Embedding via Capturing the Healthcare Context
    Liantao Ma, Chaohe Zhang, Yasha Wang, Wenjie Ruan, Jiantao Wang, Wen Tang, Xinyu Ma, Xin Gao, Junyi Gao
    http://arxiv.org/abs/1911.12216v1

    • [cs.LG]Control-Tutored Reinforcement Learning: an application to the Herding Problem
    Francesco De Lellis, Fabrizia Auletta, Giovanni Russo, Mario di Bernardo
    http://arxiv.org/abs/1911.11444v2

    • [cs.LG]Crypto-Oriented Neural Architecture Design
    Avital Shafran, Gil Segev, Shmuel Peleg, Yedid Hoshen
    http://arxiv.org/abs/1911.12322v1

    • [cs.LG]Explaining Models by Propagating Shapley Values of Local Components
    Hugh Chen, Scott Lundberg, Su-In Lee
    http://arxiv.org/abs/1911.11888v1

    • [cs.LG]Fair DARTS: Eliminating Unfair Advantages in Differentiable Architecture Search
    Xiangxiang Chu, Tianbao Zhou, Bo Zhang, Jixiang Li
    http://arxiv.org/abs/1911.12126v1

    • [cs.LG]Federated Learning for Ranking Browser History Suggestions
    Florian Hartmann, Sunah Suh, Arkadiusz Komarzewski, Tim D. Smith, Ilana Segall
    http://arxiv.org/abs/1911.11807v1

    • [cs.LG]GRIm-RePR: Prioritising Generating Important Features for Pseudo-Rehearsal
    Craig Atkinson, Brendan McCane, Lech Szymanski, Anthony Robins
    http://arxiv.org/abs/1911.11988v1

    • [cs.LG]High- and Low-level image component decomposition using VAEs for improved reconstruction and anomaly detection
    David Zimmerer, Jens Petersen, Klaus Maier-Hein
    http://arxiv.org/abs/1911.12161v1

    • [cs.LG]How Much Over-parameterization Is Sufficient to Learn Deep ReLU Networks?
    Zixiang Chen, Yuan Cao, Difan Zou, Quanquan Gu
    http://arxiv.org/abs/1911.12360v1

    • [cs.LG]Improving Fictitious Play Reinforcement Learning with Expanding Models
    Rong-Jun Qin, Jing-Cheng Pang, Yang Yu
    http://arxiv.org/abs/1911.11928v1

    • [cs.LG]Label Dependent Deep Variational Paraphrase Generation
    Siamak Shakeri, Abhinav Sethy
    http://arxiv.org/abs/1911.11952v1

    • [cs.LG]Lifelong Spectral Clustering
    Gan Sun, Yang Cong, Qianqian Wang, Jun Li, Yun Fu
    http://arxiv.org/abs/1911.11908v1

    • [cs.LG]Multi-Range Attentive Bicomponent Graph Convolutional Network for Traffic Forecasting
    Weiqi Chen, Ling Chen, Yu Xie, Wei Cao, Yusong Gao, Xiaojie Feng
    http://arxiv.org/abs/1911.12093v1

    • [cs.LG]Multi-label Classification for Automatic Tag Prediction in the Context of Programming Challenges
    Bianca Iancu, Gabriele Mazzola, Kyriakos Psarakis, Panagiotis Soilis
    http://arxiv.org/abs/1911.12224v1

    • [cs.LG]Novelty Detection Via Blurring
    Sungik Choi, Sae-Young Chung
    http://arxiv.org/abs/1911.11943v1

    • [cs.LG]SAG-VAE: End-to-end Joint Inference of Data Representations and Feature Relations
    Chen Wang, Chengyuan Deng, Vladimir Ivanov
    http://arxiv.org/abs/1911.11984v1

    • [cs.LG]SecureGBM: Secure Multi-Party Gradient Boosting
    Zhi Fengy, Haoyi Xiong, Chuanyuan Song, Sijia Yang, Baoxin Zhao, Licheng Wang, Zeyu Chen, Shengwen Yang, Liping Liu, Jun Huan
    http://arxiv.org/abs/1911.11997v1

    • [cs.LG]Single Sample Feature Importance: An Interpretable Algorithm for Low-Level Feature Analysis
    Joseph Gatto, Ravi Lanka, Yumi Iwashita, Adrian Stoica
    http://arxiv.org/abs/1911.11901v1

    • [cs.LG]Social Attention for Autonomous Decision-Making in Dense Traffic
    Edouard Leurent, Jean Mercat
    http://arxiv.org/abs/1911.12250v1

    • [cs.LG]The Nonstochastic Control Problem
    Elad Hazan, Sham M. Kakade, Karan Singh
    http://arxiv.org/abs/1911.12178v1

    • [cs.LG]TimeCaps: Capturing Time Series Data with Capsule Networks
    Hirunima Jayasekara, Vinoj Jayasundara, Jathushan Rajasegaran, Sandaru Jayasekara, Suranga Senevirathne, Ranga Rodrigo
    http://arxiv.org/abs/1911.11800v1

    • [cs.LG]Towards Similarity Graphs Constructed by Deep Reinforcement Learning
    Dmitry Baranchuk, Artem Babenko
    http://arxiv.org/abs/1911.12122v1

    • [cs.LG]Your Local GAN: Designing Two Dimensional Local Attention Mechanisms for Generative Models
    Giannis Daras, Augustus Odena, Han Zhang, Alexandros G. Dimakis
    http://arxiv.org/abs/1911.12287v1

    • [cs.RO]A selected review on reinforcement learning based control for autonomous underwater vehicles
    Yachu Hsu, Hui Wu, Keyou You, Shiji Song
    http://arxiv.org/abs/1911.11991v1

    • [cs.RO]BLAS: Broadcast Relative Localization and Clock Synchronization for Dynamic Dense Multi-Agent Systems
    Qin Shi, Xiaowei Cui, Sihao Zhao, Shuang Xu, Mingquan Lu
    http://arxiv.org/abs/1911.11995v1

    • [cs.RO]Following Social Groups: Socially Compliant Autonomous Navigation in Dense Crowds
    Xinjie Yao, Ji Zhang, Jean Oh
    http://arxiv.org/abs/1911.12063v1

    • [cs.RO]Hyperproperties for Robotics: Motion Planning via HyperLTL
    Yu Wang, Siddhartha Nalluri, Miroslav Pajic
    http://arxiv.org/abs/1911.11870v1

    • [cs.RO]Model Quality Aware RANSAC: A Robust Camera Motion Estimator
    Shu-Hao Yeh, Dezhen Song
    http://arxiv.org/abs/1911.11884v1

    • [cs.RO]Weakly-Supervised Road Affordances Inference and Learning in Scenes without Traffic Signs
    Huifang Ma, Yue Wang, Rong Xiong, Sarath Kodagoda, Qianhui Luo
    http://arxiv.org/abs/1911.12007v1

    • [cs.SD]Improving Polyphonic Music Models with Feature-Rich Encoding
    Omar Peracha
    http://arxiv.org/abs/1911.11775v1

    • [cs.SD]SchrödingeRNN: Generative Modeling of Raw Audio as a Continuously Observed Quantum State
    Beñat Mencia Uranga, Austen Lamacraft
    http://arxiv.org/abs/1911.11879v1

    • [cs.SI]Accumulative time-based ranking method to reputation evaluation in information networks
    Hao Liao, Qi-xin Liu, Ze-cheng Huang, Chi Ho Yeung
    http://arxiv.org/abs/1911.11930v1

    • [cs.SI]ComHapDet: A Spatial Community Detection Algorithm for Haplotype Assembly
    Abishek Sankararaman, Haris Vikalo, François Baccelli
    http://arxiv.org/abs/1911.12285v1

    • [cs.SI]Graph Representation for Face Analysis in Image Collections
    Domingo Mery, Florencia Valdes
    http://arxiv.org/abs/1911.11970v1

    • [cs.SI]The Limited Reach of Fake News on Twitter during 2019 European Elections
    Matteo Cinelli, Stefano Cresci, Alessandro Galeazzi, Walter Quattrociocchi, Maurizio Tesconi
    http://arxiv.org/abs/1911.12039v1

    • [eess.IV]Artificial Intelligence for Diagnosis of Skin Cancer: Challenges and Opportunities
    Manu Goyal, Thomas Knackstedt, Shaofeng Yan, Amanda Oakley, Saeed Hassanpour
    http://arxiv.org/abs/1911.11872v1

    • [eess.IV]Compressed MRI Reconstruction Exploiting a Rotation-Invariant Total Variation Discretization
    Erfan Ebrahim Esfahani, Alireza Hosseini
    http://arxiv.org/abs/1911.11854v1

    • [eess.IV]Data Augmentation Using Adversarial Training for Construction-Equipment Classification
    Francis Baek, Somin Park, Hyoungkwan Kim
    http://arxiv.org/abs/1911.11916v1

    • [eess.IV]Fully Unsupervised Probabilistic Noise2Void
    Mangal Prakash, Manan Lalit, Pavel Tomancak, Alexander Krull, Florian Jug
    http://arxiv.org/abs/1911.12291v1

    • [eess.IV]Leveraging Self-supervised Denoising for Image Segmentation
    Mangal Prakash, Tim-Oliver Buchholz, Manan Lalit, Pavel Tomancak, Florian Jug, Alexander Krull
    http://arxiv.org/abs/1911.12239v1

    • [eess.IV]Multi-Object Portion Tracking in 4D Fluorescence Microscopy Imagery with Deep Feature Maps
    Yang Jiao, Mo Weng, Mei Yang
    http://arxiv.org/abs/1911.11808v1

    • [eess.IV]Potential of deep features for opinion-unaware, distortion-unaware, no-reference image quality assessment
    Subhayan Mukherjee, Giuseppe Valenzise, Irene Cheng
    http://arxiv.org/abs/1911.11903v1

    • [eess.IV]Shearlets as Feature Extractor for Semantic Edge Detection: The Model-Based and Data-Driven Realm
    Héctor Andrade-Loarca, Gitta Kutyniok, Ozan Öktem
    http://arxiv.org/abs/1911.12159v1

    • [gr-qc]Enabling real-time multi-messenger astrophysics discoveries with deep learning
    E. A. Huerta, Gabrielle Allen, Igor Andreoni, Javier M. Antelis, Etienne Bachelet, Bruce Berriman, Federica Bianco, Rahul Biswas, Matias Carrasco, Kyle Chard, Minsik Cho, Philip S. Cowperthwaite, Zachariah B. Etienne, Maya Fishbach, Francisco Förster, Daniel George, Tom Gibbs, Matthew Graham, William Gropp, Robert Gruendl, Anushri Gupta, Roland Haas, Sarah Habib, Elise Jennings, Margaret W. G. Johnson, Erik Katsavounidis, Daniel S. Katz, Asad Khan, Volodymyr Kindratenko, William T. C. Kramer, Xin Liu, Ashish Mahabal, Zsuzsa Marka, Kenton McHenry, Jonah Miller, Claudia Moreno, Mark Neubauer, Steve Oberlin, Alexander R. Olivas, Donald Petravick, Adam Rebei, Shawn Rosofsky, Milton Ruiz, Aaron Saxton, Bernard F. Schutz, Alex Schwing, Ed Seidel, Stuart L. Shapiro, Hongyu Shen, Yue Shen, Leo Singer, Brigitta M. Sipőcz, Lunan Sun, John Towns, Antonios Tsokaros, Wei Wei, Jack Wells, Timothy J. Williams, Jinjun Xiong, Zhizhen Zhao
    http://arxiv.org/abs/1911.11779v1

    • [math.AT]Topological Machine Learning for Multivariate Time Series
    Chengyuan Wu, Carol Anne Hargreaves
    http://arxiv.org/abs/1911.12082v1

    • [math.FA]Composition operators on reproducing kernel Hilbert spaces with analytic positive definite functions
    Masahiro Ikeda, Isao Ishikawa, Yoshihiro Sawano
    http://arxiv.org/abs/1911.11992v1

    • [math.ST]K-MACE and Kernel K-MACE Clustering
    Soosan Beheshti, Edward Nidoy, Faizan Rahman
    http://arxiv.org/abs/1911.11890v1

    • [math.ST]On Robust Pseudo-Bayes Estimation for the Independent Non-homogeneous Set-up
    Tuhin Majumder, Ayanendranath Basu, Abhik Ghosh
    http://arxiv.org/abs/1911.12160v1

    • [math.ST]Spike and Slab Pólya tree posterior distributions
    Ismaël Castillo, Romain Mismer
    http://arxiv.org/abs/1911.12106v1

    • [physics.chem-ph]Neural Network Based in Silico Simulation of Combustion Reactions
    Jinzhe Zeng, Liqun Cao, Mingyuan Xu, Tong Zhu, John ZH Zhang
    http://arxiv.org/abs/1911.12252v1

    • [q-fin.PM]Dynamic Portfolio Management with Reinforcement Learning
    Junhao Wang, Yinheng Li, Yijie Cao
    http://arxiv.org/abs/1911.11880v1

    • [q-fin.TR]Cryptocurrency Price Prediction and Trading Strategies Using Support Vector Machines
    David Zhao, Alessandro Rinaldo, Christopher Brookins
    http://arxiv.org/abs/1911.11819v1

    • [quant-ph]Infinite Families of Quantum-Classical Hybrid Codes
    Andrew Nemec, Andreas Klappenecker
    http://arxiv.org/abs/1911.12260v1

    • [stat.AP]A fractional Brownian — Hawkes model for the Italian electricity spot market: estimation and forecasting
    Luca M. Giordano, Daniela Morale
    http://arxiv.org/abs/1911.11795v1

    • [stat.AP]Confounding and Regression Adjustment in Difference-in-Differences
    Bret Zeldow, Laura A. Hatfield
    http://arxiv.org/abs/1911.12185v1

    • [stat.ME]A race-DC in Big Data
    Lu Lin, Jun Lu
    http://arxiv.org/abs/1911.11993v1

    • [stat.ME]Fréchet Change Point Detection
    Paromita Dubey, Hans-Georg Müller
    http://arxiv.org/abs/1911.11864v1

    • [stat.ME]LSAR: Efficient Leverage Score Sampling Algorithm for the Analysis of Big Time Series Data
    Ali Eshragh, Fred Roosta, Asef Nazari, Michael W. Mahoney
    http://arxiv.org/abs/1911.12321v1

    • [stat.ME]LqRT: Robust Hypothesis Testing of Location Parameters using Lq-Likelihood-Ratio-Type Test in Python
    Anton Alyakin, Yichen Qin, Carey E. Priebe
    http://arxiv.org/abs/1911.11922v1

    • [stat.ME]Modeling Spectral Properties in Stationary Processes of Varying Dimensions with Applications to Brain Local Field Potential Signals
    Raanju Ragavendar Sundararajan, Ron D. Frostig, Hernando Ombao
    http://arxiv.org/abs/1911.12295v1

    • [stat.ME]Modeling excess hazard with time—to—cure as a parameter
    Olayidé Boussari, Laurent Bordes, Gaëlle Romain, Marc Colonna, Nadine Bossard, Laurent Remontet, Valérie Jooste
    http://arxiv.org/abs/1911.12204v1

    • [stat.ME]Strong structure recovery for partially observed discrete Markov random fields on graphs
    Iara Frondana, Rodrigo R. S. Carvalho, Florencia Leonardi
    http://arxiv.org/abs/1911.12198v1

    • [stat.ME]The bivariate $K$-finite normal mixture “blanket” copula: an application to driving patterns
    Aristidis K. Nikoloulopoulos
    http://arxiv.org/abs/1911.12284v1

    • [stat.ML]Contrastive Learning of Structured World Models
    Thomas Kipf, Elise van der Pol, Max Welling
    http://arxiv.org/abs/1911.12247v1

    • [stat.ML]Sifted Randomized Singular Value Decomposition
    Ali Basirat
    http://arxiv.org/abs/1911.11772v1

    • [stat.ML]Stable Matrix Completion using Properly Configured Kronecker Product Decomposition
    Chencheng Cai, Rong Chen, Han Xiao
    http://arxiv.org/abs/1911.11774v1

    • [stat.ML]Trading Convergence Rate with Computational Budget in High Dimensional Bayesian Optimization
    Hung Tran-The, Sunil Gupta, Santu Rana, Svetha Venkatesh
    http://arxiv.org/abs/1911.11950v1