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
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• [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