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