astro-ph.IM - 仪器仪表和天体物理学方法

    cond-mat.stat-mech - 统计数学 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.DB - 数据库 cs.DC - 分布式、并行与集群计算 cs.DS - 数据结构与算法 cs.GR - 计算机图形学 cs.HC - 人机接口 cs.IT - 信息论 cs.LG - 自动学习 cs.MM - 多媒体 cs.NE - 神经与进化计算 cs.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 eess.SP - 信号处理 math.FA - 泛函演算 math.NT - 数论 math.ST - 统计理论 physics.soc-ph - 物理学与社会 q-bio.BM - 生物分子 q-bio.MN - 分子网络 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [astro-ph.IM]Deep Learning for space-variant deconvolution in galaxy surveys
    • [cond-mat.stat-mech]Phase transitions and optimal algorithms in the semi-supervised classfications in graphs: from belief propagation to convolution neural networks
    • [cs.AI]Generalized Mean Estimation in Monte-Carlo Tree Search
    • [cs.AI]Reasoning Over Paths via Knowledge Base Completion
    • [cs.AI]Research and application of time series algorithms in centralized purchasing data
    • [cs.CL]A Robust Data-Driven Approach for Dialogue State Tracking of Unseen Slot Values
    • [cs.CL]BERT Goes to Law School: Quantifying the Competitive Advantage of Access to Large Legal Corpora in Contract Understanding
    • [cs.CL]CCNet: Extracting High Quality Monolingual Datasets from Web Crawl Data
    • [cs.CL]Dreaddit: A Reddit Dataset for Stress Analysis in Social Media
    • [cs.CL]Efficient Feature Selection techniques for Sentiment Analysis
    • [cs.CL]Engaging in Dialogue about an Agent’s Norms and Behaviors
    • [cs.CL]Forget Me Not: Reducing Catastrophic Forgetting for Domain Adaptation in Reading Comprehension
    • [cs.CL]Generalization through Memorization: Nearest Neighbor Language Models
    • [cs.CL]Generating Justifications for Norm-Related Agent Decisions
    • [cs.CL]Implementation of an Index Optimize Technology for Highly Specialized Terms based on the Phonetic Algorithm Metaphone
    • [cs.CL]Improving Generalization of Transformer for Speech Recognition with Parallel Schedule Sampling and Relative Positional Embedding
    • [cs.CL]Kernelized Bayesian Softmax for Text Generation
    • [cs.CL]Neural Cross-Lingual Relation Extraction Based on Bilingual Word Embedding Mapping
    • [cs.CL]On the Linguistic Representational Power of Neural Machine Translation Models
    • [cs.CL]On the Unintended Social Bias of Training Language Generation Models with Data from Local Media
    • [cs.CL]Select, Answer and Explain: Interpretable Multi-hop Reading Comprehension over Multiple Documents
    • [cs.CL]Sequence Modeling with Unconstrained Generation Order
    • [cs.CL]When Choosing Plausible Alternatives, Clever Hans can be Clever
    • [cs.CR]Privacy-Preserving Machine Learning Using EtC Images
    • [cs.CV]3D hierarchical optimization for Multi-view depth map coding
    • [cs.CV]Audience measurement using a top-view camera and oriented trajectories
    • [cs.CV]Cali-Sketch: Stroke Calibration and Completion for High-Quality Face Image Generation from Poorly-Drawn Sketches
    • [cs.CV]Centroid-Based Scene Classification (CBSC): Using Deep Features and Clustering for RGB-D Indoor Scene Classification
    • [cs.CV]Chirality Nets for Human Pose Regression
    • [cs.CV]Comb Convolution for Efficient Convolutional Architecture
    • [cs.CV]Decentralized Distributed PPO: Solving PointGoal Navigation
    • [cs.CV]Multi-Moments in Time: Learning and Interpreting Models for Multi-Action Video Understanding
    • [cs.CV]Multimodal Video-based Apparent Personality Recognition Using Long Short-Term Memory and Convolutional Neural Networks
    • [cs.CV]Rotation Invariant Point Cloud Classification: Where Local Geometry Meets Global Topology
    • [cs.CV]Surface Reconstruction from 3D Line Segments
    • [cs.DB]Extending Relational Query Processing with ML Inference
    • [cs.DC]Difficulty Scaling in Proof of Work for Decentralized Problem Solving
    • [cs.DC]Optimal Metastability-Containing Sorting via Parallel Prefix Computation
    • [cs.DS]A Simple and Efficient Method to Compute a Single Linkage Dendrogram
    • [cs.GR]Learning-based Real-time Detection of Intrinsic Reflectional Symmetry
    • [cs.GR]Personality-Aware Probabilistic Map for Trajectory Prediction of Pedestrians
    • [cs.HC]SignCol: Open-Source Software for Collecting Sign Language Gestures
    • [cs.HC]VR with Older Adults: Participatory Design of a Virtual ATM Training Simulation
    • [cs.IT]A Game-Theoretic Approach to Covert Communications
    • [cs.IT]Construction of Const Dimension Codes from Serval Parallel Lift MRD Code
    • [cs.IT]Energy-Aware Analog Aggregation for Federated Learning with Redundant Data
    • [cs.IT]Link-Layer Capacity of Downlink NOMA with Generalized Selection Combining Receivers
    • [cs.IT]On hybrid precoder/combiner for downlink mmWave massive MU-MIMO systems
    • [cs.LG]A Formal Proof of PAC Learnability for Decision Stumps
    • [cs.LG]ARSM Gradient Estimator for Supervised Learning to Rank
    • [cs.LG]Active Learning with Siamese Twins for Sequence Tagging
    • [cs.LG]Adaptive Precision Training: Quantify Back Propagation in Neural Networks with Fixed-point Numbers
    • [cs.LG]Context-Aware Local Differential Privacy
    • [cs.LG]Data-driven Evolutions of Critical Points
    • [cs.LG]Deep Bidirectional Transformers for Relation Extraction without Supervision
    • [cs.LG]DeepLine: AutoML Tool for Pipelines Generation using Deep Reinforcement Learning and Hierarchical Actions Filtering
    • [cs.LG]Does Adam optimizer keep close to the optimal point?
    • [cs.LG]Explaining black box decisions by Shapley cohort refinement
    • [cs.LG]Explanation by Progressive Exaggeration
    • [cs.LG]Finding the most similar textual documents using Case-Based Reasoning
    • [cs.LG]Generalized Speedy Q-learning
    • [cs.LG]High-dimensional Nonlinear Profile Monitoring based on Deep Probabilistic Autoencoders
    • [cs.LG]InteractE: Improving Convolution-based Knowledge Graph Embeddings by Increasing Feature Interactions
    • [cs.LG]Learning Hawkes Processes from a Handful of Events
    • [cs.LG]Learning Without Loss
    • [cs.LG]Low-Rank HOCA: Efficient High-Order Cross-Modal Attention for Video Captioning
    • [cs.LG]On Distributed Quantization for Classification
    • [cs.LG]On Neural Architecture Search for Resource-Constrained Hardware Platforms
    • [cs.LG]PIC: Permutation Invariant Critic for Multi-Agent Deep Reinforcement Learning
    • [cs.LG]PODNet: A Neural Network for Discovery of Plannable Options
    • [cs.LG]Performance Analysis on Federated Learning with Differential Privacy
    • [cs.LG]Picking groups instead of samples: A close look at Static Pool-based Meta-Active Learning
    • [cs.LG]Positive-Unlabeled Reward Learning
    • [cs.LG]Predicting the Politics of an Image Using Webly Supervised Data
    • [cs.LG]Progressive Compressed Records: Taking a Byte out of Deep Learning Data
    • [cs.LG]RankML: a Meta Learning-Based Approach for Pre-Ranking Machine Learning Pipelines
    • [cs.LG]Regularized Non-negative Spectral Embedding for Clustering
    • [cs.LG]Robust Federated Learning with Noisy Communication
    • [cs.LG]Robust contrastive learning and nonlinear ICA in the presence of outliers
    • [cs.LG]Second-Order Group Influence Functions for Black-Box Predictions
    • [cs.LG]Situated GAIL: Multitask imitation using task-conditioned adversarial inverse reinforcement learning
    • [cs.LG]Text-to-image synthesis method evaluation based on visual patterns
    • [cs.MM]Learning a Representation for Cover Song Identification Using Convolutional Neural Network
    • [cs.NE]A Dynamically Controlled Recurrent Neural Network for Modeling Dynamical Systems
    • [cs.NE]An Automatic Design Framework of Swarm Pattern Formation based on Multi-objective Genetic Programming
    • [cs.NE]Device-Circuit-Architecture Co-Exploration for Computing-in-Memory Neural Accelerators
    • [cs.NE]Short and Wide Network Paths
    • [cs.NE]Variations of Genetic Algorithms
    • [cs.RO]A2: Extracting Cyclic Switchings from DOB-nets for Rejecting Excessive Disturbances
    • [cs.RO]Hybrid Differential Dynamic Programming for Planar Manipulation Primitive
    • [cs.RO]Method to Characterize UAS Vehicle to Vehicle Encounters using Open Source Data by the UAS SARP
    • [cs.SD]Long-distance Detection of Bioacoustic Events with Per-channel Energy Normalization
    • [cs.SI]DNA: Dynamic Social Network Alignment
    • [cs.SI]Metric Representations of Networks: A Uniqueness Result
    • [eess.IV]Automatic Prostate Zonal Segmentation Using Fully Convolutional Network with Feature Pyramid Attention
    • [eess.IV]Deep learning assessment of breast terminal duct lobular unit involution: towards automated prediction of breast cancer risk
    • [eess.IV]Modified U-Net (mU-Net) with Incorporation of Object-Dependent High Level Features for Improved Liver and Liver-Tumor Segmentation in CT Images
    • [eess.IV]Multivariate Medians for Image and Shape Analysis
    • [eess.IV]Semantic Feature Attention Network for Liver Tumor Segmentation in Large-scale CT database
    • [eess.IV]Validation of a deep learning mammography model in a population with low screening rates
    • [eess.SP]FootSLAM meets Adaptive Thresholding
    • [eess.SP]LFZip: Lossy compression of multivariate floating-point time series data via improved prediction
    • [eess.SP]Training Neural Networks for Likelihood/Density Ratio Estimation
    • [math.FA]Approximate Representer Theorems in Non-reflexive Banach Spaces
    • [math.NT]On the supersingular GPST attack
    • [math.ST]Exact model comparisons in the plausibility framework
    • [math.ST]Jump Markov Chains and Rejection-Free Metropolis Algorithms
    • [math.ST]Notes on the dimension dependence in high-dimensional central limit theorems for hyperrectangles
    • [math.ST]Update of a conditional probability by minimal divergence
    • [physics.soc-ph]Improving the robustness of online social networks: A simulation approach of network interventions
    • [q-bio.BM]Protein Fold Family Recognition From Unassigned Residual Dipolar Coupling Data
    • [q-bio.MN]Kinetic foundation of the zero-inflated negative binomial model for single-cell RNA sequencing data
    • [stat.ME]A general framework for estimating the spatio-temporal distribution of a species using multiple data types
    • [stat.ME]An efficient and robust approach to Mendelian randomization with measured pleiotropic effects in a high-dimensional setting
    • [stat.ME]Bayesian Multivariate Nonlinear State Space Copula Models
    • [stat.ME]On the two-dataset problem
    • [stat.ME]Regression of binary network data with exchangeable latent errors
    • [stat.ME]Residual Analysis for Regression with Censored Data via Randomized Survival Probabilities
    • [stat.ME]Revisiting the random shift approach for testing in spatial statistics
    • [stat.ME]Simultaneous Inference for Multiple Proportions: A Multivariate Beta-Binomial Model
    • [stat.ME]The consequences of checking for zero-inflation and overdispersion in the analysis of count data
    • [stat.ML]A Unified Stochastic Gradient Approach to Designing Bayesian-Optimal Experiments
    • [stat.ML]Integrated Clustering and Anomaly Detection (INCAD) for Streaming Data (Revised)
    • [stat.ML]Randomization as Regularization: A Degrees of Freedom Explanation for Random Forest Success
    • [stat.ML]Statistical Model Aggregation via Parameter Matching

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

    • [astro-ph.IM]Deep Learning for space-variant deconvolution in galaxy surveys
    Florent Sureau, Alexis Lechat, Jean-Luc Starck
    http://arxiv.org/abs/1911.00443v1

    • [cond-mat.stat-mech]Phase transitions and optimal algorithms in the semi-supervised classfications in graphs: from belief propagation to convolution neural networks
    Pengfei Zhou, Pan Zhang
    http://arxiv.org/abs/1911.00197v1

    • [cs.AI]Generalized Mean Estimation in Monte-Carlo Tree Search
    Tuan Dam, Pascal Klink, Carlo D’Eramo, Jan Peters, Joni Pajarinen
    http://arxiv.org/abs/1911.00384v1

    • [cs.AI]Reasoning Over Paths via Knowledge Base Completion
    Saatviga Sudhahar, Ian Roberts, Andrea Pierleoni
    http://arxiv.org/abs/1911.00492v1

    • [cs.AI]Research and application of time series algorithms in centralized purchasing data
    Yun Bai, Suling Jia, Xixi Li
    http://arxiv.org/abs/1911.00449v1

    • [cs.CL]A Robust Data-Driven Approach for Dialogue State Tracking of Unseen Slot Values
    Vevake Balaraman, Bernardo Magnini
    http://arxiv.org/abs/1911.00269v1

    • [cs.CL]BERT Goes to Law School: Quantifying the Competitive Advantage of Access to Large Legal Corpora in Contract Understanding
    Emad Elwany, Dave Moore, Gaurav Oberoi
    http://arxiv.org/abs/1911.00473v1

    • [cs.CL]CCNet: Extracting High Quality Monolingual Datasets from Web Crawl Data
    Guillaume Wenzek, Marie-Anne Lachaux, Alexis Conneau, Vishrav Chaudhary, Francisco Guzmán, Armand Joulin, Edouard Grave
    http://arxiv.org/abs/1911.00359v1

    • [cs.CL]Dreaddit: A Reddit Dataset for Stress Analysis in Social Media
    Elsbeth Turcan, Kathleen McKeown
    http://arxiv.org/abs/1911.00133v1

    • [cs.CL]Efficient Feature Selection techniques for Sentiment Analysis
    Avinash Madasu, Sivasankar E
    http://arxiv.org/abs/1911.00288v1

    • [cs.CL]Engaging in Dialogue about an Agent’s Norms and Behaviors
    Daniel Kasenberg, Antonio Roque, Ravenna Thielstrom, Matthias Scheutz
    http://arxiv.org/abs/1911.00229v1

    • [cs.CL]Forget Me Not: Reducing Catastrophic Forgetting for Domain Adaptation in Reading Comprehension
    Y. Xu, X. Zhong, A. J. J. Yepes, J. H. Lau
    http://arxiv.org/abs/1911.00202v1

    • [cs.CL]Generalization through Memorization: Nearest Neighbor Language Models
    Urvashi Khandelwal, Omer Levy, Dan Jurafsky, Luke Zettlemoyer, Mike Lewis
    http://arxiv.org/abs/1911.00172v1

    • [cs.CL]Generating Justifications for Norm-Related Agent Decisions
    Daniel Kasenberg, Antonio Roque, Ravenna Thielstrom, Meia Chita-Tegmark, Matthias Scheutz
    http://arxiv.org/abs/1911.00226v1

    • [cs.CL]Implementation of an Index Optimize Technology for Highly Specialized Terms based on the Phonetic Algorithm Metaphone
    V. Buriachok, M. Hadzhyiev, V. Sokolov, P. Skladannyi, L. Kuzmenko
    http://arxiv.org/abs/1911.00152v1

    • [cs.CL]Improving Generalization of Transformer for Speech Recognition with Parallel Schedule Sampling and Relative Positional Embedding
    Pan Zhou, Ruchao Fan, Wei Chen, Jia Jia
    http://arxiv.org/abs/1911.00203v1

    • [cs.CL]Kernelized Bayesian Softmax for Text Generation
    Ning Miao, Hao Zhou, Chengqi Zhao, Wenxian Shi, Lei Li
    http://arxiv.org/abs/1911.00274v1

    • [cs.CL]Neural Cross-Lingual Relation Extraction Based on Bilingual Word Embedding Mapping
    Jian Ni, Radu Florian
    http://arxiv.org/abs/1911.00069v1

    • [cs.CL]On the Linguistic Representational Power of Neural Machine Translation Models
    Yonatan Belinkov, Nadir Durrani, Fahim Dalvi, Hassan Sajjad, James Glass
    http://arxiv.org/abs/1911.00317v1

    • [cs.CL]On the Unintended Social Bias of Training Language Generation Models with Data from Local Media
    Omar U. Florez
    http://arxiv.org/abs/1911.00461v1

    • [cs.CL]Select, Answer and Explain: Interpretable Multi-hop Reading Comprehension over Multiple Documents
    Ming Tu, Kevin Huang, Guangtao Wang, Jing Huang, Xiaodong He, Bowen Zhou
    http://arxiv.org/abs/1911.00484v1

    • [cs.CL]Sequence Modeling with Unconstrained Generation Order
    Dmitrii Emelianenko, Elena Voita, Pavel Serdyukov
    http://arxiv.org/abs/1911.00176v1

    • [cs.CL]When Choosing Plausible Alternatives, Clever Hans can be Clever
    Pride Kavumba, Naoya Inoue, Benjamin Heinzerling, Keshav Singh, Paul Reisert, Kentaro Inui
    http://arxiv.org/abs/1911.00225v1

    • [cs.CR]Privacy-Preserving Machine Learning Using EtC Images
    Ayana Kawamura, Yuma Kinoshita, Hitoshi Kiya
    http://arxiv.org/abs/1911.00227v1

    • [cs.CV]3D hierarchical optimization for Multi-view depth map coding
    Marc Maceira, David Varas, Josep-Ramon Morros, JavierRuiz-Hidalgo, Ferran Marques
    http://arxiv.org/abs/1911.00376v1

    • [cs.CV]Audience measurement using a top-view camera and oriented trajectories
    Manuel Lopez-Palma, Javier Gago, Montserrat Corbalan, Josep Ramon Morros
    http://arxiv.org/abs/1911.00354v1

    • [cs.CV]Cali-Sketch: Stroke Calibration and Completion for High-Quality Face Image Generation from Poorly-Drawn Sketches
    Weihao Xia, Yujiu Yang, Jing-Hao Xue
    http://arxiv.org/abs/1911.00426v1

    • [cs.CV]Centroid-Based Scene Classification (CBSC): Using Deep Features and Clustering for RGB-D Indoor Scene Classification
    Ali Ayub, Alan Wagner
    http://arxiv.org/abs/1911.00155v1

    • [cs.CV]Chirality Nets for Human Pose Regression
    Raymond A. Yeh, Yuan-Ting Hu, Alexander G. Schwing
    http://arxiv.org/abs/1911.00029v1

    • [cs.CV]Comb Convolution for Efficient Convolutional Architecture
    Dandan Li, Yuan Zhou, Shuwei Huo, Sun-Yuan Kung
    http://arxiv.org/abs/1911.00387v1

    • [cs.CV]Decentralized Distributed PPO: Solving PointGoal Navigation
    Erik Wijmans, Abhishek Kadian, Ari Morcos, Stefan Lee, Irfan Essa, Devi Parikh, Manolis Savva, Dhruv Batra
    http://arxiv.org/abs/1911.00357v1

    • [cs.CV]Multi-Moments in Time: Learning and Interpreting Models for Multi-Action Video Understanding
    Mathew Monfort, Kandan Ramakrishnan, Alex Andonian, Barry A McNamara, Alex Lascelles, Bowen Pan, Dan Gutfreund, Rogerio Feris, Aude Oliva
    http://arxiv.org/abs/1911.00232v1

    • [cs.CV]Multimodal Video-based Apparent Personality Recognition Using Long Short-Term Memory and Convolutional Neural Networks
    Süleyman Aslan, Uğur Güdükbay
    http://arxiv.org/abs/1911.00381v1

    • [cs.CV]Rotation Invariant Point Cloud Classification: Where Local Geometry Meets Global Topology
    Chen Zhao, Jiaqi Yang, Xin Xiong, Angfan Zhu, Zhiguo Cao, Xin Li
    http://arxiv.org/abs/1911.00195v1

    • [cs.CV]Surface Reconstruction from 3D Line Segments
    Pierre-Alain Langlois, Alexandre Boulch, Renaud Marlet
    http://arxiv.org/abs/1911.00451v1

    • [cs.DB]Extending Relational Query Processing with ML Inference
    Konstantinos Karanasos, Matteo Interlandi, Doris Xin, Fotis Psallidas, Rathijit Sen, Kwanghyun Park, Ivan Popivanov, Supun Nakandal, Subru Krishnan, Markus Weimer, Yuan Yu, Raghu Ramakrishnan, Carlo Curino
    http://arxiv.org/abs/1911.00231v1

    • [cs.DC]Difficulty Scaling in Proof of Work for Decentralized Problem Solving
    Pericles Philippopoulos, Alessandro Ricottone, Carlos G. Oliver
    http://arxiv.org/abs/1911.00435v1

    • [cs.DC]Optimal Metastability-Containing Sorting via Parallel Prefix Computation
    Johannes Bund, Christoph Lenzen, Moti Medina
    http://arxiv.org/abs/1911.00267v1

    • [cs.DS]A Simple and Efficient Method to Compute a Single Linkage Dendrogram
    Huanbiao Zhu, Werner Stuetzle
    http://arxiv.org/abs/1911.00223v1

    • [cs.GR]Learning-based Real-time Detection of Intrinsic Reflectional Symmetry
    Yi-Ling Qiao, Lin Gao, Shu-Zhi Liu, Ligang Liu, Yu-Kun Lai, Xilin Chen
    http://arxiv.org/abs/1911.00189v1

    • [cs.GR]Personality-Aware Probabilistic Map for Trajectory Prediction of Pedestrians
    Chaochao Li, Pei Lv, Mingliang Xu, Xinyu Wang, Dinesh Manocha, Bing Zhou, Meng Wang
    http://arxiv.org/abs/1911.00193v1

    • [cs.HC]SignCol: Open-Source Software for Collecting Sign Language Gestures
    Mohammad Eslami, Mahdi Karami, Sedigheh Eslami, Solale Tabarestani, Farah Torkamani-Azar, Christoph Meinel
    http://arxiv.org/abs/1911.00071v1

    • [cs.HC]VR with Older Adults: Participatory Design of a Virtual ATM Training Simulation
    Wiesław Kopeć, Marcin Wichrowski, Krzysztof Kalinowski, Anna Jaskulska, Kinga Skorupska, Daniel Cnotkowski, Jakub Tyszka, Agata Popieluch, Anna Voitenkova, Rafał Masłyk, Piotr Gago, Maciej Krzywicki, Monika Kornacka, Cezary Biele, Paweł Kobyliński, Jarosław Kowalski, Katarzyna Abramczuk, Aldona Zdrodowska, Grzegorz Pochwatko, Jakub Możaryn, Krzysztof Marasek
    http://arxiv.org/abs/1911.00466v1

    • [cs.IT]A Game-Theoretic Approach to Covert Communications
    Alex S. Leong, Daniel E. Quevedo, Subhrakanti Dey
    http://arxiv.org/abs/1911.00156v1

    • [cs.IT]Construction of Const Dimension Codes from Serval Parallel Lift MRD Code
    Xianmang He, Yindong Chen
    http://arxiv.org/abs/1911.00154v1

    • [cs.IT]Energy-Aware Analog Aggregation for Federated Learning with Redundant Data
    Yuxuan Sun, Sheng Zhou, Deniz Gündüz
    http://arxiv.org/abs/1911.00188v1

    • [cs.IT]Link-Layer Capacity of Downlink NOMA with Generalized Selection Combining Receivers
    Vaibhav Kumar, Barry Cardiff, Shankar Prakriya, Mark F. Flanagan
    http://arxiv.org/abs/1911.00101v1

    • [cs.IT]On hybrid precoder/combiner for downlink mmWave massive MU-MIMO systems
    Alvaro Javier Ortega, Raimundo Sampaio-Neto, Rodrigo Pereira David
    http://arxiv.org/abs/1911.00153v1

    • [cs.LG]A Formal Proof of PAC Learnability for Decision Stumps
    Joseph Tassarotti, Jean-Baptiste Tristan, Koundinya Vajjha
    http://arxiv.org/abs/1911.00385v1

    • [cs.LG]ARSM Gradient Estimator for Supervised Learning to Rank
    Siamak Zamani Dadaneh, Shahin Boluki, Mingyuan Zhou, Xiaoning Qian
    http://arxiv.org/abs/1911.00465v1

    • [cs.LG]Active Learning with Siamese Twins for Sequence Tagging
    Rishi Hazra, Shubham Gupta, Ambedkar Dukkipati
    http://arxiv.org/abs/1911.00234v1

    • [cs.LG]Adaptive Precision Training: Quantify Back Propagation in Neural Networks with Fixed-point Numbers
    Xishan Zhang, Shaoli Liu, Rui Zhang, Chang Liu, Di Huang, Shiyi Zhou, Jiaming Guo, Yu Kang, Qi Guo, Zidong Du, Yunji Chen
    http://arxiv.org/abs/1911.00361v1

    • [cs.LG]Context-Aware Local Differential Privacy
    Jayadev Acharya, Keith Bonawitz, Peter Kairouz, Daniel Ramage, Ziteng Sun
    http://arxiv.org/abs/1911.00038v1

    • [cs.LG]Data-driven Evolutions of Critical Points
    Stefano Almi, Massimo Fornasier, Richard Huber
    http://arxiv.org/abs/1911.00298v1

    • [cs.LG]Deep Bidirectional Transformers for Relation Extraction without Supervision
    Yannis Papanikolaou, Ian Roberts, Andrea Pierleoni
    http://arxiv.org/abs/1911.00313v1

    • [cs.LG]DeepLine: AutoML Tool for Pipelines Generation using Deep Reinforcement Learning and Hierarchical Actions Filtering
    Yuval Heffetz, Roman Vainstein, Gilad Katz, Lior Rokach
    http://arxiv.org/abs/1911.00061v1

    • [cs.LG]Does Adam optimizer keep close to the optimal point?
    Kiwook Bae, Heechang Ryu, Hayong Shin
    http://arxiv.org/abs/1911.00289v1

    • [cs.LG]Explaining black box decisions by Shapley cohort refinement
    Masayoshi Mase, Art B. Owen, Benjamin Seiler
    http://arxiv.org/abs/1911.00467v1

    • [cs.LG]Explanation by Progressive Exaggeration
    Sumedha Singla, Brian Pollack, Junxiang Chen, Kayhan Batmanghelich
    http://arxiv.org/abs/1911.00483v1

    • [cs.LG]Finding the most similar textual documents using Case-Based Reasoning
    Marko Mihajlovic, Ning Xiong
    http://arxiv.org/abs/1911.00262v1

    • [cs.LG]Generalized Speedy Q-learning
    Indu John, Chandramouli Kamanchi, Shalabh Bhatnagar
    http://arxiv.org/abs/1911.00397v1

    • [cs.LG]High-dimensional Nonlinear Profile Monitoring based on Deep Probabilistic Autoencoders
    Nurettin Sergin, Hao Yan
    http://arxiv.org/abs/1911.00482v1

    • [cs.LG]InteractE: Improving Convolution-based Knowledge Graph Embeddings by Increasing Feature Interactions
    Shikhar Vashishth, Soumya Sanyal, Vikram Nitin, Nilesh Agrawal, Partha Talukdar
    http://arxiv.org/abs/1911.00219v1

    • [cs.LG]Learning Hawkes Processes from a Handful of Events
    Farnood Salehi, William Trouleau, Matthias Grossglauser, Patrick Thiran
    http://arxiv.org/abs/1911.00292v1

    • [cs.LG]Learning Without Loss
    Veit Elser
    http://arxiv.org/abs/1911.00493v1

    • [cs.LG]Low-Rank HOCA: Efficient High-Order Cross-Modal Attention for Video Captioning
    Tao Jin, Siyu Huang, Yingming Li, Zhongfei Zhang
    http://arxiv.org/abs/1911.00212v1

    • [cs.LG]On Distributed Quantization for Classification
    Osama A. Hanna, Yahya H. Ezzeldin, Tara Sadjadpour, Christina Fragouli, Suhas Diggavi
    http://arxiv.org/abs/1911.00216v1

    • [cs.LG]On Neural Architecture Search for Resource-Constrained Hardware Platforms
    Qing Lu, Weiwen Jiang, Xiaowei Xu, Yiyu Shi, Jingtong Hu
    http://arxiv.org/abs/1911.00105v1

    • [cs.LG]PIC: Permutation Invariant Critic for Multi-Agent Deep Reinforcement Learning
    Iou-Jen Liu, Raymond A. Yeh, Alexander G. Schwing
    http://arxiv.org/abs/1911.00025v1

    • [cs.LG]PODNet: A Neural Network for Discovery of Plannable Options
    Ritwik Bera, Vinicius G. Goecks, John Valasek, Nicholas R. Waytowich
    http://arxiv.org/abs/1911.00171v1

    • [cs.LG]Performance Analysis on Federated Learning with Differential Privacy
    Kang Wei, Jun Li, Ming Ding, Chuan Ma, Howard H. Yang, Farokhi Farhad, Shi Jin, Tony Q. S. Quek, H. Vincent Poor
    http://arxiv.org/abs/1911.00222v1

    • [cs.LG]Picking groups instead of samples: A close look at Static Pool-based Meta-Active Learning
    Ignasi Mas, Josep Ramon Morros, Veronica Vilaplana
    http://arxiv.org/abs/1911.00314v1

    • [cs.LG]Positive-Unlabeled Reward Learning
    Danfei Xu, Misha Denil
    http://arxiv.org/abs/1911.00459v1

    • [cs.LG]Predicting the Politics of an Image Using Webly Supervised Data
    Christopher Thomas, Adriana Kovashka
    http://arxiv.org/abs/1911.00147v1

    • [cs.LG]Progressive Compressed Records: Taking a Byte out of Deep Learning Data
    Michael Kuchnik, George Amvrosiadis, Virginia Smith
    http://arxiv.org/abs/1911.00472v1

    • [cs.LG]RankML: a Meta Learning-Based Approach for Pre-Ranking Machine Learning Pipelines
    Doron Laadan, Roman Vainshtein, Yarden Curiel, Gilad Katz, Lior Rokach
    http://arxiv.org/abs/1911.00108v1

    • [cs.LG]Regularized Non-negative Spectral Embedding for Clustering
    Yifei Wang, Rui Liu, Yong Chen, Hui Zhangs, Zhiwen Ye
    http://arxiv.org/abs/1911.00179v1

    • [cs.LG]Robust Federated Learning with Noisy Communication
    Fan Ang, Li Chen, Nan Zhao, Yunfei Chen, Weidong Wang, F. Richard Yu
    http://arxiv.org/abs/1911.00251v1

    • [cs.LG]Robust contrastive learning and nonlinear ICA in the presence of outliers
    Hiroaki Sasaki, Takashi Takenouchi, Ricardo Monti, Aapo Hyvärinen
    http://arxiv.org/abs/1911.00265v1

    • [cs.LG]Second-Order Group Influence Functions for Black-Box Predictions
    Samyadeep Basu, Xuchen You, Soheil Feizi
    http://arxiv.org/abs/1911.00418v1

    • [cs.LG]Situated GAIL: Multitask imitation using task-conditioned adversarial inverse reinforcement learning
    Kyoichiro Kobayashi, Takato Horii, Ryo Iwaki, Yukie Nagai, Minoru Asada
    http://arxiv.org/abs/1911.00238v1

    • [cs.LG]Text-to-image synthesis method evaluation based on visual patterns
    William Lund Sommer, Alexandros Iosifidis
    http://arxiv.org/abs/1911.00077v1

    • [cs.MM]Learning a Representation for Cover Song Identification Using Convolutional Neural Network
    Zhesong Yu, Xiaoshuo Xu, Xiaoou Chen, Deshun Yang
    http://arxiv.org/abs/1911.00334v1

    • [cs.NE]A Dynamically Controlled Recurrent Neural Network for Modeling Dynamical Systems
    Yiwei Fu, Samer Saab Jr, Asok Ray, Michael Hauser
    http://arxiv.org/abs/1911.00089v1

    • [cs.NE]An Automatic Design Framework of Swarm Pattern Formation based on Multi-objective Genetic Programming
    Zhun Fan, Zhaojun Wang, Xiaomin Zhu, Bingliang Hu, Anmin Zou, Dongwei Bao
    http://arxiv.org/abs/1910.14627v2

    • [cs.NE]Device-Circuit-Architecture Co-Exploration for Computing-in-Memory Neural Accelerators
    Weiwen Jiang, Qiuwen Lou, Zheyu Yan, Lei Yang, Jingtong Hu, Xiaobo Sharon Hu, Yiyu Shi
    http://arxiv.org/abs/1911.00139v1

    • [cs.NE]Short and Wide Network Paths
    Lavanya Marla, Lav R. Varshney, Devavrat Shah, Nirmal A. Prakash, Michael E. Gale
    http://arxiv.org/abs/1911.00344v1

    • [cs.NE]Variations of Genetic Algorithms
    Alison Jenkins, Vinika Gupta, Alexis Myrick, Mary Lenoir
    http://arxiv.org/abs/1911.00490v1

    • [cs.RO]A2: Extracting Cyclic Switchings from DOB-nets for Rejecting Excessive Disturbances
    Wenjie Lu, Dikai Liu
    http://arxiv.org/abs/1911.00165v1

    • [cs.RO]Hybrid Differential Dynamic Programming for Planar Manipulation Primitive
    Neel Doshi, Francois R. Hogan, Alberto Rodriguez
    http://arxiv.org/abs/1911.00175v1

    • [cs.RO]Method to Characterize UAS Vehicle to Vehicle Encounters using Open Source Data by the UAS SARP
    Andrew Weinert
    http://arxiv.org/abs/1911.00110v1

    • [cs.SD]Long-distance Detection of Bioacoustic Events with Per-channel Energy Normalization
    Vincent Lostanlen, Kaitlin Palmer, Elly Knight, Christopher Clark, Holger Klinck, Andrew Farnsworth, Tina Wong, Jason Cramer, Juan Pablo Bello
    http://arxiv.org/abs/1911.00417v1

    • [cs.SI]DNA: Dynamic Social Network Alignment
    Li Sun, Zhongbao Zhang, Pengxin Ji, Jian Wen, Sen Su, Philip S. Yu
    http://arxiv.org/abs/1911.00067v1

    • [cs.SI]Metric Representations of Networks: A Uniqueness Result
    Santiago Segarra, T. Mitchell Roddenberry, Facundo Memoli, Alejandro Ribeiro
    http://arxiv.org/abs/1911.00164v1

    • [eess.IV]Automatic Prostate Zonal Segmentation Using Fully Convolutional Network with Feature Pyramid Attention
    Yongkai Liu, Guang Yang, Sohrab Afshari Mirak, Melina Hosseiny, Afshin Azadikhah, Xinran Zhong, Robert E. Reiter, Yeejin Lee, Steven Raman, Kyunghyun Sung
    http://arxiv.org/abs/1911.00127v1

    • [eess.IV]Deep learning assessment of breast terminal duct lobular unit involution: towards automated prediction of breast cancer risk
    Suzanne C Wetstein, Allison M Onken, Christina Luffman, Gabrielle M Baker, Michael E Pyle, Kevin H Kensler, Ying Liu, Bart Bakker, Ruud Vlutters, Marinus B van Leeuwen, Laura C Collins, Stuart J Schnitt, Josien PW Pluim, Rulla M Tamimi, Yujing J Heng, Mitko Veta
    http://arxiv.org/abs/1911.00036v1

    • [eess.IV]Modified U-Net (mU-Net) with Incorporation of Object-Dependent High Level Features for Improved Liver and Liver-Tumor Segmentation in CT Images
    Hyunseok Seo, Charles Huang, Maxime Bassenne, Ruoxiu Xiao, Lei Xing
    http://arxiv.org/abs/1911.00140v1

    • [eess.IV]Multivariate Medians for Image and Shape Analysis
    Martin Welk
    http://arxiv.org/abs/1911.00143v1

    • [eess.IV]Semantic Feature Attention Network for Liver Tumor Segmentation in Large-scale CT database
    Yao Zhang, Cheng Zhong, Yang Zhang, Zhongchao Shi, Zhiqiang He
    http://arxiv.org/abs/1911.00282v1

    • [eess.IV]Validation of a deep learning mammography model in a population with low screening rates
    Kevin Wu, Eric Wu, Yaping Wu, Hongna Tan, Greg Sorensen, Meiyun Wang, Bill Lotter
    http://arxiv.org/abs/1911.00364v1

    • [eess.SP]FootSLAM meets Adaptive Thresholding
    Johan Wahlstrom, Andrew Markham, Niki Trigoni
    http://arxiv.org/abs/1911.00420v1

    • [eess.SP]LFZip: Lossy compression of multivariate floating-point time series data via improved prediction
    Shubham Chandak, Kedar Tatwawadi, Chengtao Wen, Lingyun Wang, Juan Aparicio, Tsachy Weissman
    http://arxiv.org/abs/1911.00208v1

    • [eess.SP]Training Neural Networks for Likelihood/Density Ratio Estimation
    George V. Moustakides, Kalliopi Basioti
    http://arxiv.org/abs/1911.00405v1

    • [math.FA]Approximate Representer Theorems in Non-reflexive Banach Spaces
    Kevin Schlegel
    http://arxiv.org/abs/1911.00433v1

    • [math.NT]On the supersingular GPST attack
    Andrea Basso, Fabien Pazuki
    http://arxiv.org/abs/1911.00409v1

    • [math.ST]Exact model comparisons in the plausibility framework
    Stefan Böhringer, Dietmar Lohmann
    http://arxiv.org/abs/1911.00469v1

    • [math.ST]Jump Markov Chains and Rejection-Free Metropolis Algorithms
    J. S. Rosenthal, A. Dote, K. Dabiri, H. Tamura, A. Sheikholeslami
    http://arxiv.org/abs/1910.13316v2

    • [math.ST]Notes on the dimension dependence in high-dimensional central limit theorems for hyperrectangles
    Yuta Koike
    http://arxiv.org/abs/1911.00160v1

    • [math.ST]Update of a conditional probability by minimal divergence
    Jan Naudts
    http://arxiv.org/abs/1911.00217v1

    • [physics.soc-ph]Improving the robustness of online social networks: A simulation approach of network interventions
    Giona Casiraghi, Frank Schweitzer
    http://arxiv.org/abs/1910.14562v1

    • [q-bio.BM]Protein Fold Family Recognition From Unassigned Residual Dipolar Coupling Data
    Rishi Mukhopadhyay, Paul Shealy, Homayoun Valafar
    http://arxiv.org/abs/1911.00383v1

    • [q-bio.MN]Kinetic foundation of the zero-inflated negative binomial model for single-cell RNA sequencing data
    Chen Jia
    http://arxiv.org/abs/1911.00356v1

    • [stat.ME]A general framework for estimating the spatio-temporal distribution of a species using multiple data types
    Joe Watson, Ruth Joy, Dominic Tollit, Sheila J Thornton, Marie Auger-Méthé
    http://arxiv.org/abs/1911.00151v1

    • [stat.ME]An efficient and robust approach to Mendelian randomization with measured pleiotropic effects in a high-dimensional setting
    Andrew J. Grant, Stephen Burgess
    http://arxiv.org/abs/1911.00347v1

    • [stat.ME]Bayesian Multivariate Nonlinear State Space Copula Models
    Alexander Kreuzer, Luciana Dalla Valle, Claudia Czado
    http://arxiv.org/abs/1911.00448v1

    • [stat.ME]On the two-dataset problem
    Steven N. MacEachern, Koji Miyawaki
    http://arxiv.org/abs/1911.00204v1

    • [stat.ME]Regression of binary network data with exchangeable latent errors
    Frank W. Marrs, Bailey K. Fosdick
    http://arxiv.org/abs/1911.00082v1

    • [stat.ME]Residual Analysis for Regression with Censored Data via Randomized Survival Probabilities
    Tingxuan Wu, Cindy Feng, Longhai Li
    http://arxiv.org/abs/1911.00198v1

    • [stat.ME]Revisiting the random shift approach for testing in spatial statistics
    Tomas Mrkvicka, Jiri Dvorak, Jonatan A. Gonzalez, Jorge Mateu
    http://arxiv.org/abs/1911.00240v1

    • [stat.ME]Simultaneous Inference for Multiple Proportions: A Multivariate Beta-Binomial Model
    Max Westphal
    http://arxiv.org/abs/1911.00098v1

    • [stat.ME]The consequences of checking for zero-inflation and overdispersion in the analysis of count data
    Harlan Campbell
    http://arxiv.org/abs/1911.00115v1

    • [stat.ML]A Unified Stochastic Gradient Approach to Designing Bayesian-Optimal Experiments
    Adam Foster, Martin Jankowiak, Matthew O’Meara, Yee Whye Teh, Tom Rainforth
    http://arxiv.org/abs/1911.00294v1

    • [stat.ML]Integrated Clustering and Anomaly Detection (INCAD) for Streaming Data (Revised)
    Sreelekha Guggilam, Syed M. A. Zaidi, Varun Chandola, Abani K. Patra
    http://arxiv.org/abs/1911.00184v1

    • [stat.ML]Randomization as Regularization: A Degrees of Freedom Explanation for Random Forest Success
    Lucas Mentch, Siyu Zhou
    http://arxiv.org/abs/1911.00190v1

    • [stat.ML]Statistical Model Aggregation via Parameter Matching
    Mikhail Yurochkin, Mayank Agarwal, Soumya Ghosh, Kristjan Greenewald, Trong Nghia Hoang
    http://arxiv.org/abs/1911.00218v1