astro-ph.CO - 宇宙学和天体物理学
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.CY - 计算与社会
cs.DB - 数据库
cs.DC - 分布式、并行与集群计算
cs.GR - 计算机图形学
cs.HC - 人机接口
cs.IR - 信息检索
cs.IT - 信息论
cs.LG - 自动学习
cs.LO - 计算逻辑
cs.MM - 多媒体
cs.NI - 网络和互联网体系结构
cs.RO - 机器人学
cs.SD - 声音处理
cs.SE - 软件工程
cs.SI - 社交网络与信息网络
eess.AS - 语音处理
math.CO - 组合数学
math.OC - 优化与控制
math.ST - 统计理论
physics.geo-ph - 地球物理学
physics.soc-ph - 物理学与社会
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.CO - 统计计算
stat.ME - 统计方法论
stat.ML - (统计)机器学习
• [astro-ph.CO]Stress testing the dark energy equation of state imprint on supernova data
• [cs.AI]Can rationality be measured?
• [cs.AI]Goal-based Course Recommendation
• [cs.AI]Optimizing Answer Set Computation via Heuristic-Based Decomposition
• [cs.AI]Trip Prediction by Leveraging Trip Histories from Neighboring Users
• [cs.CL]A Bi-model based RNN Semantic Frame Parsing Model for Intent Detection and Slot Filling
• [cs.CL]An Investigation of Supervised Learning Methods for Authorship Attribution in Short Hinglish Texts using Char & Word N-grams
• [cs.CL]Building a Neural Semantic Parser from a Domain Ontology
• [cs.CL]DBpedia NIF: Open, Large-Scale and Multilingual Knowledge Extraction Corpus
• [cs.CL]Learning to Refine Source Representations for Neural Machine Translation
• [cs.CL]Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyond
• [cs.CL]Meta Learning for Few-shot Keyword Spotting
• [cs.CL]Moment Matching Training for Neural Machine Translation: A Preliminary Study
• [cs.CL]Non-Autoregressive Neural Machine Translation with Enhanced Decoder Input
• [cs.CL]Quantized-Dialog Language Model for Goal-Oriented Conversational Systems
• [cs.CR]A Review on The Use of Deep Learning in Android Malware Detection
• [cs.CR]Exploratory Data Analysis of a Network Telescope Traffic and Prediction of Port Probing Rates
• [cs.CR]Privacy-Preserving Collaborative Deep Learning with Irregular Participants
• [cs.CV]3D PersonVLAD: Learning Deep Global Representations for Video-based Person Re-identification
• [cs.CV]A Multi-Stream Convolutional Neural Network Framework for Group Activity Recognition
• [cs.CV]A Poisson-Gaussian Denoising Dataset with Real Fluorescence Microscopy Images
• [cs.CV]A Survey to Deep Facial Attribute Analysis
• [cs.CV]A Unified Framework for Mutual Improvement of SLAM and Semantic Segmentation
• [cs.CV]A Whole Slide Image Grading Benchmark and Tissue Classification for Cervical Cancer Precursor Lesions with Inter-Observer Variability
• [cs.CV]Advanced Image Processing for Astronomical Images
• [cs.CV]Adversarial Feature Genome: a Data Driven Adversarial Examples Recognition Method
• [cs.CV]Attention Branch Network: Learning of Attention Mechanism for Visual Explanation
• [cs.CV]Classification of X-Ray Protein Crystallization Using Deep Convolutional Neural Networks with a Finder Module
• [cs.CV]Color Image Enhancement Method Based on Weighted Image Guided Filtering
• [cs.CV]Coupled Analysis Dictionary Learning to inductively learn inversion: Application to real-time reconstruction of Biomedical signals
• [cs.CV]Coupled Recurrent Network (CRN)
• [cs.CV]Curriculum Domain Adaptation for Semantic Segmentation of Urban Scenes
• [cs.CV]Deep Convolutional Generative Adversarial Network Based Food Recognition Using Partially Labeled Data
• [cs.CV]Deep Learning for Inferring the Surface Solar Irradiance from Sky Imagery
• [cs.CV]Domain-Aware Generalized Zero-Shot Learning
• [cs.CV]End-to-End Latent Fingerprint Search
• [cs.CV]FPD-M-net: Fingerprint Image Denoising and Inpainting Using M-Net Based Convolutional Neural Networks
• [cs.CV]Holistic Decomposition Convolution for Effective Semantic Segmentation of 3D MR Images
• [cs.CV]Image-to-Image Translation via Group-wise Deep Whitening and Coloring Transformation
• [cs.CV]Informative Object Annotations: Tell Me Something I Don't Know
• [cs.CV]Latent Filter Scaling for Multimodal Unsupervised Image-to-Image Translation
• [cs.CV]Learning Not to Learn: Training Deep Neural Networks with Biased Data
• [cs.CV]Learning a Disentangled Embedding for Monocular 3D Shape Retrieval and Pose Estimation
• [cs.CV]MMFNet: A Multi-modality MRI Fusion Network for Segmentation of Nasopharyngeal Carcinoma
• [cs.CV]Motion Blur removal via Coupled Autoencoder
• [cs.CV]Motion Selective Prediction for Video Frame Synthesis
• [cs.CV]Perceptually-based single-image depth super-resolution
• [cs.CV]Practical Adversarial Attack Against Object Detector
• [cs.CV]Precision Highway for Ultra Low-Precision Quantization
• [cs.CV]RegNet: Learning the Optimization of Direct Image-to-Image Pose Registration
• [cs.CV]Region Proposal Networks with Contextual Selective Attention for Real-Time Organ Detection
• [cs.CV]Selectivity or Invariance: Boundary-aware Salient Object Detection
• [cs.CV]Similarity R-C3D for Few-shot Temporal Activity Detection
• [cs.CV]Spatial and Temporal Mutual Promotion for Video-based Person Re-identification
• [cs.CV]Spotting Micro-Expressions on Long Videos Sequences
• [cs.CV]Structure-Aware 3D Hourglass Network for Hand Pose Estimation from Single Depth Image
• [cs.CV]TextNet: Irregular Text Reading from Images with an End-to-End Trainable Network
• [cs.CV]Texture Deformation Based Generative Adversarial Networks for Face Editing
• [cs.CV]The algorithm of formation of a training set for an artificial neural network for image segmentation
• [cs.CV]The algorithm of the impulse noise filtration in images based on an algorithm of community detection in graphs
• [cs.CY]Border Effect of Complex Network: An analysis on the cooperation network of movie stars across different regions
• [cs.CY]Movies Network as the Indicator of Globalization
• [cs.CY]PatientEG Dataset: Bringing Event Graph Model with Temporal Relations to Electronic Medical Records
• [cs.CY]Water quality information dissemination at real-time in South Africa using language modelling
• [cs.CY]Wibson: A Decentralized Data Marketplace
• [cs.DB]On Functional Aggregate Queries with Additive Inequalities
• [cs.DC]Bioinformatics Computational Cluster Batch Task Profiling with Machine Learning for Failure Prediction
• [cs.DC]CLoTH: a Simulator for HTLC Payment Networks
• [cs.DC]Correction to Byzantine Agreement in Expected Polynomial Time, JACM 2016
• [cs.DC]JALAD: Joint Accuracy- and Latency-Aware Deep Structure Decoupling for Edge-Cloud Execution
• [cs.DC]The ShareGrid Portal: an easy way to submit jobs on computational Grids
• [cs.DC]The TAAROA Project Specification
• [cs.DC]The Use of MPI and OpenMP Technologies for Subsequence Similarity Search in Very Large Time Series on Computer Cluster System with Nodes Based on the Intel Xeon Phi Knights Landing Many-core Processor
• [cs.GR]A Survey on Non-rigid 3D Shape Analysis
• [cs.HC]BCI decoder performance comparison of an LSTM recurrent neural network and a Kalman filter in retrospective simulation
• [cs.HC]Intelligent Tutoring Systems: A Comprehensive Historical Survey with Recent Developments
• [cs.IR]Sequence to Sequence Learning for Query Expansion
• [cs.IR]TransNFCM: Translation-Based Neural Fashion Compatibility Modeling
• [cs.IT]A Proof of the Beierle-Kranz-Leander Conjecture related to Lightweight Multiplication in
• [cs.IT]Age of Information in Multihop Multicast Networks
• [cs.IT]CodedSketch: A Coding Scheme for Distributed Computation of Approximated Matrix Multiplications
• [cs.IT]Explicit Formulas for the Weight Enumerators of Some Classes of Deletion Correcting Codes
• [cs.IT]Exploiting non-orthogonal multiple access in downlink coordinated multipoint transmission with the presence of imperfect channel state information
• [cs.IT]GASP Codes for Secure Distributed Matrix Multiplication
• [cs.IT]Optimal Secure GDoF of Symmetric Gaussian Wiretap Channel with a Helper
• [cs.IT]Reinforcement Learning for Self-Organization and Power Control of Two-Tier Heterogeneous Networks
• [cs.IT]Second-Order Converses via Reverse Hypercontractivity
• [cs.IT]Study of Robust Diffusion Recursive Least Squares Algorithms with Side Information for Networked Agents
• [cs.IT]Trainable Projected Gradient Detector for Massive Overloaded MIMO Channels: Data-driven Tuning Approach
• [cs.LG]A New Concept of Deep Reinforcement Learning based Augmented General Sequence Tagging System
• [cs.LG]Dropout Regularization in Hierarchical Mixture of Experts
• [cs.LG]Dual Principal Component Pursuit: Probability Analysis and Efficient Algorithms
• [cs.LG]Dynamic Online Gradient Descent with Improved Query Complexity: A Theoretical Revisit
• [cs.LG]Dynamic Runtime Feature Map Pruning
• [cs.LG]ECG Segmentation by Neural Networks: Errors and Correction
• [cs.LG]Generalization Bounds for Uniformly Stable Algorithms
• [cs.LG]Group Preserving Label Embedding for Multi-Label Classification
• [cs.LG]Improving MMD-GAN Training with Repulsive Loss Function
• [cs.LG]Invariant and Equivariant Graph Networks
• [cs.LG]Joint Embedding Learning and Low-Rank Approximation: A Framework for Incomplete Multi-view Learning
• [cs.LG]Learning when to Communicate at Scale in Multiagent Cooperative and Competitive Tasks
• [cs.LG]Mixed-Order Spectral Clustering for Networks
• [cs.LG]Overparameterized Nonlinear Learning: Gradient Descent Takes the Shortest Path?
• [cs.LG]PPD: Permutation Phase Defense Against Adversarial Examples in Deep Learning
• [cs.LG]Parallel Clustering of Single Cell Transcriptomic Data with Split-Merge Sampling on Dirichlet Process Mixtures
• [cs.LG]Parallelized Interactive Machine Learning on Autonomous Vehicles
• [cs.LG]Protecting Sensitive Attributes via Generative Adversarial Networks
• [cs.LG]SNAS: Stochastic Neural Architecture Search
• [cs.LG]Self-Attention Equipped Graph Convolutions for Disease Prediction
• [cs.LG]Stochastic Trust Region Inexact Newton Method for Large-scale Machine Learning
• [cs.LG]Structure Learning of Sparse GGMs over Multiple Access Networks
• [cs.LG]Studying the Plasticity in Deep Convolutional Neural Networks using Random Pruning
• [cs.LG]The CORAL+ Algorithm for Unsupervised Domain Adaptation of PLDA
• [cs.LG]Towards a Theoretical Understanding of Hashing-Based Neural Nets
• [cs.LG]VMAV-C: A Deep Attention-based Reinforcement Learning Algorithm for Model-based Control
• [cs.LG]bigMap: Big Data Mapping with Parallelized t-SNE
• [cs.LO]The content correlation of multiple streaming edges
• [cs.MM]Learning based Facial Image Compression with Semantic Fidelity Metric
• [cs.NI]Iroko: A Framework to Prototype Reinforcement Learning for Data Center Traffic Control
• [cs.RO]An Efficient L-Shape Fitting Method for Vehicle Pose Detection with 2D LiDAR
• [cs.RO]Learning to Prevent Monocular SLAM Failure using Reinforcement Learning
• [cs.RO]SRM: An Efficient Framework for Autonomous Robotic Exploration in Indoor Environments
• [cs.RO]Self-Localization of Parking Robots Using Square-Like Landmarks
• [cs.SD]Noise Flooding for Detecting Audio Adversarial Examples Against Automatic Speech Recognition
• [cs.SD]Tensor-Train Long Short-Term Memory for Monaural Speech Enhancement
• [cs.SE]Assuring Autonomous Systems: Opportunities for Integrated Formal Methods?
• [cs.SE]The iEnvironment Platform: Developing an Open Science Software Platform for Integrated Environmental Monitoring and Modeling of Surface Water
• [cs.SI]Analysis of contagion maps on a class of networks that are spatially embedded in a torus
• [cs.SI]Elites Tweet? Characterizing the Twitter Verified User Network
• [eess.AS]Pansori: ASR Corpus Generation from Open Online Video Contents
• [math.CO]The hat guessing number of graphs
• [math.OC]On Increasing Self-Confidence in Non-Bayesian Social Learning over Time-Varying Directed Graphs
• [math.ST]Almost sure convergence for weighted sums of pairwise PQD random variables
• [math.ST]Optimal Designs for Prediction in Two Treatment Groups Random Coefficient Regression Models
• [math.ST]Optimal False Discovery Control of Minimax Estimator
• [math.ST]Sign tests for weak principal directions
• [physics.geo-ph]Deep learning electromagnetic inversion with convolutional neural networks
• [physics.geo-ph]Incorporating Deformation Energetics in Long-Term Tectonic Modeling
• [physics.soc-ph]The Chaperone Effect in Scientific Publishing
• [q-fin.PM]Portfolio Optimization for Cointelated Pairs: SDEs vs. Machine Learning
• [q-fin.TR]Optimizing Market Making using Multi-Agent Reinforcement Learning
• [quant-ph]Efficiently computable bounds for magic state distillation
• [stat.AP]A backward procedure for change-point detection with applications to copy number variation detection
• [stat.AP]Bayesian Point Set Registration
• [stat.AP]Comparing Spatial Regression to Random Forests for Large Environmental Data Sets
• [stat.AP]Detecting British Columbia Coastal Rainfall Patterns by Clustering Gaussian Processes
• [stat.CO]An Algorithm for computing the t-signature of two-state networks
• [stat.ME]Bayesian Propagation of Record Linkage Uncertainty into Population Size Estimation of Human Rights Violations
• [stat.ME]Bayesian semiparametric modelling of phase-varying point processes
• [stat.ME]Bi-clustering for time-varying relational count data analysis
• [stat.ME]Model Selection for Mixture Models - Perspectives and Strategies
• [stat.ME]On discrimination between the Lindley and xgamma distributions
• [stat.ME]Optimal Treatment Selection Using the Covariate-Specific Treatment Effect Curve with High-dimensional Covariates
• [stat.ME]Synthetic Difference in Differences
• [stat.ME]rstap: An R Package for Spatial Temporal Aggregated Predictor Models
• [stat.ML]A determinantal point process for column subset selection
• [stat.ML]Bayesian Causal Inference
• [stat.ML]Deep neural networks are biased towards simple functions
• [stat.ML]Guessing Smart: Biased Sampling for Efficient Black-Box Adversarial Attacks
• [stat.ML]Large Multistream Data Analytics for Monitoring and Diagnostics in Manufacturing Systems
·····································
• [astro-ph.CO]Stress testing the dark energy equation of state imprint on supernova data
Ben Moews, Rafael S. de Souza, Emille E. O. Ishida, Alex I. Malz, Caroline Heneka, Ricardo Vilalta, Joe Zuntz
http://arxiv.org/abs/1812.09786v1
• [cs.AI]Can rationality be measured?
Tshilidzi Marwala
http://arxiv.org/abs/1812.10144v1
• [cs.AI]Goal-based Course Recommendation
Weijie Jiang, Zachary A. Pardos, Qiang Wei
http://arxiv.org/abs/1812.10078v1
• [cs.AI]Optimizing Answer Set Computation via Heuristic-Based Decomposition
Francesco Calimeri, Simona Perri, Jessica Zangari
http://arxiv.org/abs/1812.09718v1
• [cs.AI]Trip Prediction by Leveraging Trip Histories from Neighboring Users
Yuxin Chen, Morteza Haghir Chehreghani
http://arxiv.org/abs/1812.10097v1
• [cs.CL]A Bi-model based RNN Semantic Frame Parsing Model for Intent Detection and Slot Filling
Yu Wang, Yilin Shen, Hongxia Jin
http://arxiv.org/abs/1812.10235v1
• [cs.CL]An Investigation of Supervised Learning Methods for Authorship Attribution in Short Hinglish Texts using Char & Word N-grams
Abhay Sharma, Ananya Nandan, Reetika Ralhan
http://arxiv.org/abs/1812.10281v1
• [cs.CL]Building a Neural Semantic Parser from a Domain Ontology
Jianpeng Cheng, Siva Reddy, Mirella Lapata
http://arxiv.org/abs/1812.10037v1
• [cs.CL]DBpedia NIF: Open, Large-Scale and Multilingual Knowledge Extraction Corpus
Milan Dojchinovski, Julio Hernandez, Markus Ackermann, Amit Kirschenbaum, Sebastian Hellmann
http://arxiv.org/abs/1812.10315v1
• [cs.CL]Learning to Refine Source Representations for Neural Machine Translation
Xinwei Geng, Longyue Wang, Xing Wang, Bing Qin, Ting Liu, Zhaopeng Tu
http://arxiv.org/abs/1812.10230v1
• [cs.CL]Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyond
Mikel Artetxe, Holger Schwenk
http://arxiv.org/abs/1812.10464v1
• [cs.CL]Meta Learning for Few-shot Keyword Spotting
Yangbin Chen, Tom Ko, Lifeng Shang, Xiao Chen, Xin Jiang, Qing Li
http://arxiv.org/abs/1812.10233v1
• [cs.CL]Moment Matching Training for Neural Machine Translation: A Preliminary Study
Cong Duy Vu Hoang, Ioan Calapodescu, Marc Dymetman
http://arxiv.org/abs/1812.09836v1
• [cs.CL]Non-Autoregressive Neural Machine Translation with Enhanced Decoder Input
Junliang Guo, Xu Tan, Di He, Tao Qin, Linli Xu, Tie-Yan Liu
http://arxiv.org/abs/1812.09664v1
• [cs.CL]Quantized-Dialog Language Model for Goal-Oriented Conversational Systems
R. Chulaka Gunasekara, David Nahamoo, Lazaros C. Polymenakos, Jatin Ganhotra, Kshitij P. Fadnis
http://arxiv.org/abs/1812.10356v1
• [cs.CR]A Review on The Use of Deep Learning in Android Malware Detection
Abdelmonim Naway, Yuancheng LI
http://arxiv.org/abs/1812.10360v1
• [cs.CR]Exploratory Data Analysis of a Network Telescope Traffic and Prediction of Port Probing Rates
Mehdi Zakroum, Abdellah Houmz, Mounir Ghogho, Ghita Mezzour, Abdelkader Lahmadi, Jérôme François, Mohammed El Koutbi
http://arxiv.org/abs/1812.09790v1
• [cs.CR]Privacy-Preserving Collaborative Deep Learning with Irregular Participants
Lingchen Zhao, Yan Zhang, Qian Wang, Yanjiao Chen, Cong Wang, Qin Zou
http://arxiv.org/abs/1812.10113v1
• [cs.CV]3D PersonVLAD: Learning Deep Global Representations for Video-based Person Re-identification
Lin Wu, Yang Wang, Ling Shao, Meng Wang
http://arxiv.org/abs/1812.10222v1
• [cs.CV]A Multi-Stream Convolutional Neural Network Framework for Group Activity Recognition
Sina Mokhtarzadeh Azar, Mina Ghadimi Atigh, Ahmad Nickabadi
http://arxiv.org/abs/1812.10328v1
• [cs.CV]A Poisson-Gaussian Denoising Dataset with Real Fluorescence Microscopy Images
Yide Zhang, Yinhao Zhu, Evan Nichols, Qingfei Wang, Siyuan Zhang, Cody Smith, Scott Howard
http://arxiv.org/abs/1812.10366v1
• [cs.CV]A Survey to Deep Facial Attribute Analysis
Xin Zheng, Yanqing Guo, Huaibo Huang, Yi Li, Ran He
http://arxiv.org/abs/1812.10265v1
• [cs.CV]A Unified Framework for Mutual Improvement of SLAM and Semantic Segmentation
Kai Wang, Yimin Lin, Luowei Wang, Liming Han, Minjie Hua, Xiang Wang, Shiguo Lian, Bill Huang
http://arxiv.org/abs/1812.10016v1
• [cs.CV]A Whole Slide Image Grading Benchmark and Tissue Classification for Cervical Cancer Precursor Lesions with Inter-Observer Variability
Abdulkadir Albayrak, Asli Unlu, Nurullah Calik, Abdulkerim Capar, Gokhan Bilgin, Behcet Ugur Toreyin, Bahar Muezzinoglu, Ilknur Turkmen, Lutfiye Durak-Ata
http://arxiv.org/abs/1812.10256v1
• [cs.CV]Advanced Image Processing for Astronomical Images
Diganta Misra, Sparsha Mishra, Bhargav Appasani
http://arxiv.org/abs/1812.09702v1
• [cs.CV]Adversarial Feature Genome: a Data Driven Adversarial Examples Recognition Method
Li Chen, Hailun Ding, Qi Li, Jiawei Zhu, Haozhe Huang, Yifan Chang, Haifeng Li
http://arxiv.org/abs/1812.10085v1
• [cs.CV]Attention Branch Network: Learning of Attention Mechanism for Visual Explanation
Hiroshi Fukui, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi
http://arxiv.org/abs/1812.10025v1
• [cs.CV]Classification of X-Ray Protein Crystallization Using Deep Convolutional Neural Networks with a Finder Module
Yusei Miura, Tetsuya Sakurai, Claus Aranha, Toshiya Senda, Ryuichi Kato, Yusuke Yamada
http://arxiv.org/abs/1812.10087v1
• [cs.CV]Color Image Enhancement Method Based on Weighted Image Guided Filtering
Qi Mu, Yanyan Wei, Zhanli Li
http://arxiv.org/abs/1812.09930v1
• [cs.CV]Coupled Analysis Dictionary Learning to inductively learn inversion: Application to real-time reconstruction of Biomedical signals
Kavya Gupta, Brojeshwar Bhowmick, Angshul Majumdar
http://arxiv.org/abs/1812.09878v1
• [cs.CV]Coupled Recurrent Network (CRN)
Lin Sun, Kui Jia, Yuejia Shen, Silvio Savarese, Dit Yan Yeung, Bertram E. Shi
http://arxiv.org/abs/1812.10071v1
• [cs.CV]Curriculum Domain Adaptation for Semantic Segmentation of Urban Scenes
Yang Zhang, Philip David, Hassan Foroosh, Boqing Gong
http://arxiv.org/abs/1812.09953v1
• [cs.CV]Deep Convolutional Generative Adversarial Network Based Food Recognition Using Partially Labeled Data
Bappaditya Mandal, N. B. Puhan, Avijit Verma
http://arxiv.org/abs/1812.10179v1
• [cs.CV]Deep Learning for Inferring the Surface Solar Irradiance from Sky Imagery
Mehdi Zakroum, Mounir Ghogho, Mustapha Faqir, Mohamed Aymane Ahajjam
http://arxiv.org/abs/1812.09793v1
• [cs.CV]Domain-Aware Generalized Zero-Shot Learning
Yuval Atzmon, Gal Chechik
http://arxiv.org/abs/1812.09903v1
• [cs.CV]End-to-End Latent Fingerprint Search
Kai Cao, Dinh-Luan Nguyen, Cori Tymoszek, A. K. Jain
http://arxiv.org/abs/1812.10213v1
• [cs.CV]FPD-M-net: Fingerprint Image Denoising and Inpainting Using M-Net Based Convolutional Neural Networks
Sukesh Adiga V, Jayanthi Sivaswamy
http://arxiv.org/abs/1812.10191v1
• [cs.CV]Holistic Decomposition Convolution for Effective Semantic Segmentation of 3D MR Images
Guodong Zeng, Guoyan Zheng
http://arxiv.org/abs/1812.09834v1
• [cs.CV]Image-to-Image Translation via Group-wise Deep Whitening and Coloring Transformation
Wonwoong Cho, Sungha Choi, David Park, Inkyu Shin, Jaegul Choo
http://arxiv.org/abs/1812.09912v1
• [cs.CV]Informative Object Annotations: Tell Me Something I Don't Know
Lior Bracha, Gal Chechik
http://arxiv.org/abs/1812.10358v1
• [cs.CV]Latent Filter Scaling for Multimodal Unsupervised Image-to-Image Translation
Yazeed Alharbi, Neil Smith, Peter Wonka
http://arxiv.org/abs/1812.09877v1
• [cs.CV]Learning Not to Learn: Training Deep Neural Networks with Biased Data
Byungju Kim, Hyunwoo Kim, Kyungsu Kim, Sungjin Kim, Junmo Kim
http://arxiv.org/abs/1812.10352v1
• [cs.CV]Learning a Disentangled Embedding for Monocular 3D Shape Retrieval and Pose Estimation
Kyaw Zaw Lin, Weipeng Xu, Qianru Sun, Christian Theobalt, Tat-Seng Chua
http://arxiv.org/abs/1812.09899v1
• [cs.CV]MMFNet: A Multi-modality MRI Fusion Network for Segmentation of Nasopharyngeal Carcinoma
Huai Chen, Yuxiao Qi, Yong Yin, TengXiang Li, Guanzhong Gong, Lisheng Wang
http://arxiv.org/abs/1812.10033v1
• [cs.CV]Motion Blur removal via Coupled Autoencoder
Kavya Gupta, Brojeshwar Bhowmick, Angshul Majumdar
http://arxiv.org/abs/1812.09888v1
• [cs.CV]Motion Selective Prediction for Video Frame Synthesis
Veronique Prinet
http://arxiv.org/abs/1812.10157v1
• [cs.CV]Perceptually-based single-image depth super-resolution
O. Voinov, A. Artemov, V. Egiazarian, A. Notchenko, G. Bobrovskikh, D. Zorin, E. Burnaev
http://arxiv.org/abs/1812.09874v1
• [cs.CV]Practical Adversarial Attack Against Object Detector
Yue Zhao, Hong Zhu, Qintao Shen, Ruigang Liang, Kai Chen, Shengzhi Zhang
http://arxiv.org/abs/1812.10217v1
• [cs.CV]Precision Highway for Ultra Low-Precision Quantization
Eunhyeok Park, Dongyoung Kim, Sungjoo Yoo, Peter Vajda
http://arxiv.org/abs/1812.09818v1
• [cs.CV]RegNet: Learning the Optimization of Direct Image-to-Image Pose Registration
Lei Han, Mengqi Ji, Lu Fang, Matthias Nießner
http://arxiv.org/abs/1812.10212v1
• [cs.CV]Region Proposal Networks with Contextual Selective Attention for Real-Time Organ Detection
Awais Mansoor, Antonio R. Porras, Marius George Linguraru
http://arxiv.org/abs/1812.10330v1
• [cs.CV]Selectivity or Invariance: Boundary-aware Salient Object Detection
Jinming Su, Jia Li, Changqun Xia, Yonghong Tian
http://arxiv.org/abs/1812.10066v1
• [cs.CV]Similarity R-C3D for Few-shot Temporal Activity Detection
Huijuan Xu, Bingyi Kang, Ximeng Sun, Jiashi Feng, Kate Saenko, Trevor Darrell
http://arxiv.org/abs/1812.10000v1
• [cs.CV]Spatial and Temporal Mutual Promotion for Video-based Person Re-identification
Yiheng Liu, Zhenxun Yuan, Wengang Zhou, Houqiang Li
http://arxiv.org/abs/1812.10305v1
• [cs.CV]Spotting Micro-Expressions on Long Videos Sequences
Jingting Li, Catherine Soladie, Renaud Sguier, Sujing Wang, Moi Hoon Yap
http://arxiv.org/abs/1812.10306v1
• [cs.CV]Structure-Aware 3D Hourglass Network for Hand Pose Estimation from Single Depth Image
Fuyang Huang, Ailing Zeng, Minhao Liu, Jing Qin, Qiang Xu
http://arxiv.org/abs/1812.10320v1
• [cs.CV]TextNet: Irregular Text Reading from Images with an End-to-End Trainable Network
Yipeng Sun, Chengquan Zhang, Zuming Huang, Jiaming Liu, Junyu Han, Errui Ding
http://arxiv.org/abs/1812.09900v1
• [cs.CV]Texture Deformation Based Generative Adversarial Networks for Face Editing
WenTing Chen, Xinpeng Xie, Xi Jia, Linlin Shen
http://arxiv.org/abs/1812.09832v1
• [cs.CV]The algorithm of formation of a training set for an artificial neural network for image segmentation
S. V. Belim, S. B. Larionov
http://arxiv.org/abs/1812.09569v1
• [cs.CV]The algorithm of the impulse noise filtration in images based on an algorithm of community detection in graphs
S. V. Belim, S. B. Larionov
http://arxiv.org/abs/1812.10098v1
• [cs.CY]Border Effect of Complex Network: An analysis on the cooperation network of movie stars across different regions
Wen Zhou, Dong Zhang, Chen Chen, Dianbo Liu
http://arxiv.org/abs/1812.09657v1
• [cs.CY]Movies Network as the Indicator of Globalization
Zilu Yu, Chen Chen, Dianbo Liu
http://arxiv.org/abs/1812.09639v1
• [cs.CY]PatientEG Dataset: Bringing Event Graph Model with Temporal Relations to Electronic Medical Records
Xuli Liu, Jihao Jin, Qi Wang, Tong Ruan, Yangming Zhou, Daqi Gao, Yichao Yin
http://arxiv.org/abs/1812.09905v1
• [cs.CY]Water quality information dissemination at real-time in South Africa using language modelling
Laing Lourens, Arijit Patra, Luqmaan Hassim, Faheem Sima, Avashlin Moodley, Pulkit Sharma
http://arxiv.org/abs/1812.09745v1
• [cs.CY]Wibson: A Decentralized Data Marketplace
Matias Travizano, Carlos Sarraute, Gustavo Ajzenman, Martin Minnoni
http://arxiv.org/abs/1812.09966v1
• [cs.DB]On Functional Aggregate Queries with Additive Inequalities
Mahmoud Abo Khamis, Ryan R. Curtin, Benjamin Moseley, Hung Q. Ngo, XuanLong Nguyen, Dan Olteanu, Maximilian Schleich
http://arxiv.org/abs/1812.09526v1
• [cs.DC]Bioinformatics Computational Cluster Batch Task Profiling with Machine Learning for Failure Prediction
Christopher Harrison, Christine R. Kirkpatrick, Inês Dutra
http://arxiv.org/abs/1812.09537v1
• [cs.DC]CLoTH: a Simulator for HTLC Payment Networks
Marco Conoscenti, Antonio Vetrò, Juan Carlos De Martin, Federico Spini, Fabio Castaldo, Sebastiano Scròfina
http://arxiv.org/abs/1812.09940v1
• [cs.DC]Correction to Byzantine Agreement in Expected Polynomial Time, JACM 2016
Valerie King, Jared Saia
http://arxiv.org/abs/1812.10169v1
• [cs.DC]JALAD: Joint Accuracy- and Latency-Aware Deep Structure Decoupling for Edge-Cloud Execution
Hongshan Li, Chenghao Hu, Jingyan Jiang, Zhi Wang, Yonggang Wen, Wenwu Zhu
http://arxiv.org/abs/1812.10027v1
• [cs.DC]The ShareGrid Portal: an easy way to submit jobs on computational Grids
Cosimo Anglano, Massimo Canonico, Marco Guazzone
http://arxiv.org/abs/1812.09727v1
• [cs.DC]The TAAROA Project Specification
Cosimo Anglano, Massimo Canonico, Marco Guazzone, Matteo Zola
http://arxiv.org/abs/1812.09730v1
• [cs.DC]The Use of MPI and OpenMP Technologies for Subsequence Similarity Search in Very Large Time Series on Computer Cluster System with Nodes Based on the Intel Xeon Phi Knights Landing Many-core Processor
Yana Kraeva, Mikhail Zymbler
http://arxiv.org/abs/1812.10302v1
• [cs.GR]A Survey on Non-rigid 3D Shape Analysis
Hamid Laga
http://arxiv.org/abs/1812.10111v1
• [cs.HC]BCI decoder performance comparison of an LSTM recurrent neural network and a Kalman filter in retrospective simulation
Tommy Hosman, Marco Vilela, Daniel Milstein, Jessica N. Kelemen, David M. Brandman, Leigh R. Hochberg, John D. Simeral
http://arxiv.org/abs/1812.09835v1
• [cs.HC]Intelligent Tutoring Systems: A Comprehensive Historical Survey with Recent Developments
Ali Alkhatlan, Jugal Kalita
http://arxiv.org/abs/1812.09628v1
• [cs.IR]Sequence to Sequence Learning for Query Expansion
Salah Zaiem, Fatiha Sadat
http://arxiv.org/abs/1812.10119v1
• [cs.IR]TransNFCM: Translation-Based Neural Fashion Compatibility Modeling
Xun Yang, Yunshan Ma, Lizi Liao, Meng Wang, Tat-Seng Chua
http://arxiv.org/abs/1812.10021v1
• [cs.IT]A Proof of the Beierle-Kranz-Leander Conjecture related to Lightweight Multiplication in
Sihem Mesnager, Kwang Ho Kim, Dujin Jo, Junyop Choe, Munhyon Han, Dok Nam Lee
http://arxiv.org/abs/1812.09666v1
• [cs.IT]Age of Information in Multihop Multicast Networks
Baturalp Buyukates, Alkan Soysal, Sennur Ulukus
http://arxiv.org/abs/1812.10455v1
• [cs.IT]CodedSketch: A Coding Scheme for Distributed Computation of Approximated Matrix Multiplications
Tayyebeh Jahani-Nezhad, Mohammad Ali Maddah-Ali
http://arxiv.org/abs/1812.10460v1
• [cs.IT]Explicit Formulas for the Weight Enumerators of Some Classes of Deletion Correcting Codes
Khodakhast Bibak, Olgica Milenkovic
http://arxiv.org/abs/1812.09627v1
• [cs.IT]Exploiting non-orthogonal multiple access in downlink coordinated multipoint transmission with the presence of imperfect channel state information
Fahri Wisnu Murti, Rahmat Faddli Siregar, Soo Young Shin
http://arxiv.org/abs/1812.10266v1
• [cs.IT]GASP Codes for Secure Distributed Matrix Multiplication
Rafael G. L. D'Oliveira, Salim El Rouayheb, David Karpuk
http://arxiv.org/abs/1812.09962v1
• [cs.IT]Optimal Secure GDoF of Symmetric Gaussian Wiretap Channel with a Helper
Jinyuan Chen, Chunhua Geng
http://arxiv.org/abs/1812.10457v1
• [cs.IT]Reinforcement Learning for Self-Organization and Power Control of Two-Tier Heterogeneous Networks
Roohollah Amiri, Mojtaba Ahmadi Almasi, Jeffrey G. Andrews, Hani Mehrpouyan
http://arxiv.org/abs/1812.09778v1
• [cs.IT]Second-Order Converses via Reverse Hypercontractivity
Jingbo Liu, Ramon van Handel, Sergio Verdú
http://arxiv.org/abs/1812.10129v1
• [cs.IT]Study of Robust Diffusion Recursive Least Squares Algorithms with Side Information for Networked Agents
Y. Yu, R. C. de Lamare, Y. Zakharov
http://arxiv.org/abs/1812.09985v1
• [cs.IT]Trainable Projected Gradient Detector for Massive Overloaded MIMO Channels: Data-driven Tuning Approach
Satoshi Takabe, Masayuki Imanishi, Tadashi Wadayama, Kazunori Hayashi
http://arxiv.org/abs/1812.10044v1
• [cs.LG]A New Concept of Deep Reinforcement Learning based Augmented General Sequence Tagging System
Yu Wang, Abhishek Patel, Hongxia Jin
http://arxiv.org/abs/1812.10234v1
• [cs.LG]Dropout Regularization in Hierarchical Mixture of Experts
Ozan İrsoy, Ethem Alpaydın
http://arxiv.org/abs/1812.10158v1
• [cs.LG]Dual Principal Component Pursuit: Probability Analysis and Efficient Algorithms
Zhihui Zhu, Yifan Wang, Daniel P. Robinson, Daniel Q. Naiman, Rene Vidal, Manolis C. Tsakiris
http://arxiv.org/abs/1812.09924v1
• [cs.LG]Dynamic Online Gradient Descent with Improved Query Complexity: A Theoretical Revisit
Yawei Zhao, En Zhu, Xinwang Liu, Jianping Yin
http://arxiv.org/abs/1812.10186v1
• [cs.LG]Dynamic Runtime Feature Map Pruning
Tailin Liang, Lei Wang, Shaobo Shi, John Glossner
http://arxiv.org/abs/1812.09922v1
• [cs.LG]ECG Segmentation by Neural Networks: Errors and Correction
Iana Sereda, Sergey Alekseev, Aleksandra Koneva, Roman Kataev, Grigory Osipov
http://arxiv.org/abs/1812.10386v1
• [cs.LG]Generalization Bounds for Uniformly Stable Algorithms
Vitaly Feldman, Jan Vondrak
http://arxiv.org/abs/1812.09859v1
• [cs.LG]Group Preserving Label Embedding for Multi-Label Classification
Vikas Kumar, Arun K Pujari, Vineet Padmanabhan, Venkateswara Rao Kagita
http://arxiv.org/abs/1812.09910v1
• [cs.LG]Improving MMD-GAN Training with Repulsive Loss Function
Wei Wang, Yuan Sun, Saman Halgamuge
http://arxiv.org/abs/1812.09916v1
• [cs.LG]Invariant and Equivariant Graph Networks
Haggai Maron, Heli Ben-Hamu, Nadav Shamir, Yaron Lipman
http://arxiv.org/abs/1812.09902v1
• [cs.LG]Joint Embedding Learning and Low-Rank Approximation: A Framework for Incomplete Multi-view Learning
Hong Tao, Chenping Hou, Dongyun Yi, Jubo Zhu
http://arxiv.org/abs/1812.10012v1
• [cs.LG]Learning when to Communicate at Scale in Multiagent Cooperative and Competitive Tasks
Amanpreet Singh, Tushar Jain, Sainbayar Sukhbaatar
http://arxiv.org/abs/1812.09755v1
• [cs.LG]Mixed-Order Spectral Clustering for Networks
Yan Ge, Haiping Lu, Pan Peng
http://arxiv.org/abs/1812.10140v1
• [cs.LG]Overparameterized Nonlinear Learning: Gradient Descent Takes the Shortest Path?
Samet Oymak, Mahdi Soltanolkotabi
http://arxiv.org/abs/1812.10004v1
• [cs.LG]PPD: Permutation Phase Defense Against Adversarial Examples in Deep Learning
Mehdi Jafarnia-Jahromi, Tasmin Chowdhury, Hsin-Tai Wu, Sayandev Mukherjee
http://arxiv.org/abs/1812.10049v1
• [cs.LG]Parallel Clustering of Single Cell Transcriptomic Data with Split-Merge Sampling on Dirichlet Process Mixtures
Tiehang Duan, José P. Pinto, Xiaohui Xie
http://arxiv.org/abs/1812.10048v1
• [cs.LG]Parallelized Interactive Machine Learning on Autonomous Vehicles
Xi Chen, Caylin Hickey
http://arxiv.org/abs/1812.09724v1
• [cs.LG]Protecting Sensitive Attributes via Generative Adversarial Networks
Aria Rezaei, Chaowei Xiao, Jie Gao, Bo Li
http://arxiv.org/abs/1812.10193v1
• [cs.LG]SNAS: Stochastic Neural Architecture Search
Sirui Xie, Hehui Zheng, Chunxiao Liu, Liang Lin
http://arxiv.org/abs/1812.09926v1
• [cs.LG]Self-Attention Equipped Graph Convolutions for Disease Prediction
Anees Kazi, S. Arvind krishna, Shayan Shekarforoush, Karsten Kortuem, Shadi Albarqouni, Nassir Navab
http://arxiv.org/abs/1812.09954v1
• [cs.LG]Stochastic Trust Region Inexact Newton Method for Large-scale Machine Learning
Vinod Kumar Chauhan, Anuj Sharma, Kalpana Dahiya
http://arxiv.org/abs/1812.10426v1
• [cs.LG]Structure Learning of Sparse GGMs over Multiple Access Networks
Mostafa Tavassolipour, Armin Karamzade, Reza Mirzaeifard, Seyed Abolfazl Motahari, Mohammad-Taghi Manzuri Shalmani
http://arxiv.org/abs/1812.10437v1
• [cs.LG]Studying the Plasticity in Deep Convolutional Neural Networks using Random Pruning
Deepak Mittal, Shweta Bhardwaj, Mitesh M. Khapra, Balaraman Ravindran
http://arxiv.org/abs/1812.10240v1
• [cs.LG]The CORAL+ Algorithm for Unsupervised Domain Adaptation of PLDA
Kong Aik Lee, Qiongqiong Wang, Takafumi Koshinaka
http://arxiv.org/abs/1812.10260v1
• [cs.LG]Towards a Theoretical Understanding of Hashing-Based Neural Nets
Yibo Lin, Zhao Song, Lin F. Yang
http://arxiv.org/abs/1812.10244v1
• [cs.LG]VMAV-C: A Deep Attention-based Reinforcement Learning Algorithm for Model-based Control
Xingxing Liang, Qi Wang, Yanghe Feng, Zhong Liu, Jincai Huang
http://arxiv.org/abs/1812.09968v1
• [cs.LG]bigMap: Big Data Mapping with Parallelized t-SNE
Joan Garriga, Frederic Bartumeus
http://arxiv.org/abs/1812.09869v1
• [cs.LO]The content correlation of multiple streaming edges
Michel de Rougemont, Guillaume Vimont
http://arxiv.org/abs/1812.09867v1
• [cs.MM]Learning based Facial Image Compression with Semantic Fidelity Metric
Zhibo Chen, Tianyu He
http://arxiv.org/abs/1812.10067v1
• [cs.NI]Iroko: A Framework to Prototype Reinforcement Learning for Data Center Traffic Control
Fabian Ruffy, Michael Przystupa, Ivan Beschastnikh
http://arxiv.org/abs/1812.09975v1
• [cs.RO]An Efficient L-Shape Fitting Method for Vehicle Pose Detection with 2D LiDAR
Sanqing Qu, Guang Chen, Canbo Ye, Fan Lu, Fa Wang, Zhongcong Xu, Yixin Ge
http://arxiv.org/abs/1812.09670v1
• [cs.RO]Learning to Prevent Monocular SLAM Failure using Reinforcement Learning
Vignesh Prasad, Karmesh Yadav, Rohitashva Singh Saurabh, Swapnil Daga, Nahas Pareekutty, K. Madhava Krishna, Balaraman Ravindran, Brojeshwar Bhowmick
http://arxiv.org/abs/1812.09647v1
• [cs.RO]SRM: An Efficient Framework for Autonomous Robotic Exploration in Indoor Environments
Chaoqun Wang, Delong Zhu, Teng Li, Max Q. -H. Meng, Clarence De. Silva
http://arxiv.org/abs/1812.09852v1
• [cs.RO]Self-Localization of Parking Robots Using Square-Like Landmarks
Canbo Ye, Guang Chen, Sanqing Qu, Qianyi Yang, Kai Chen, Jiatong Du, Ruien Hu
http://arxiv.org/abs/1812.09668v1
• [cs.SD]Noise Flooding for Detecting Audio Adversarial Examples Against Automatic Speech Recognition
Krishan Rajaratnam, Jugal Kalita
http://arxiv.org/abs/1812.10061v1
• [cs.SD]Tensor-Train Long Short-Term Memory for Monaural Speech Enhancement
Suman Samui, Indrajit Chakrabarti, Soumya K. Ghosh
http://arxiv.org/abs/1812.10095v1
• [cs.SE]Assuring Autonomous Systems: Opportunities for Integrated Formal Methods?
Mario Gleirscher, Simon Foster, Jim Woodcock
http://arxiv.org/abs/1812.10103v1
• [cs.SE]The iEnvironment Platform: Developing an Open Science Software Platform for Integrated Environmental Monitoring and Modeling of Surface Water
Paulo Alencar, Donald Cowan, Doug Mulholland
http://arxiv.org/abs/1812.10175v1
• [cs.SI]Analysis of contagion maps on a class of networks that are spatially embedded in a torus
Barbara I. Mahler, Ulrike Tillmann, Mason A. Porter
http://arxiv.org/abs/1812.09806v1
• [cs.SI]Elites Tweet? Characterizing the Twitter Verified User Network
Indraneil Paul, Abhinav Khattar, Ponnurangam Kumaraguru, Manish Gupta, Shaan Chopra
http://arxiv.org/abs/1812.09710v1
• [eess.AS]Pansori: ASR Corpus Generation from Open Online Video Contents
Yoona Choi, Bowon Lee
http://arxiv.org/abs/1812.09798v1
• [math.CO]The hat guessing number of graphs
Noga Alon, Omri Ben-Eliezer, Chong Shangguan, Itzhak Tamo
http://arxiv.org/abs/1812.09752v1
• [math.OC]On Increasing Self-Confidence in Non-Bayesian Social Learning over Time-Varying Directed Graphs
César A. Uribe, Ali Jadbabaie
http://arxiv.org/abs/1812.09819v1
• [math.ST]Almost sure convergence for weighted sums of pairwise PQD random variables
João Lita da Silva
http://arxiv.org/abs/1812.09947v1
• [math.ST]Optimal Designs for Prediction in Two Treatment Groups Random Coefficient Regression Models
Maryna Prus
http://arxiv.org/abs/1812.09514v1
• [math.ST]Optimal False Discovery Control of Minimax Estimator
Qifan Song, Guang Cheng
http://arxiv.org/abs/1812.10013v1
• [math.ST]Sign tests for weak principal directions
Davy Paindaveine, Julien Remy, Thomas Verdebout
http://arxiv.org/abs/1812.09367v1
• [physics.geo-ph]Deep learning electromagnetic inversion with convolutional neural networks
Vladimir Puzyrev
http://arxiv.org/abs/1812.10247v1
• [physics.geo-ph]Incorporating Deformation Energetics in Long-Term Tectonic Modeling
Sabber Ahamed, Eunseo Choi
http://arxiv.org/abs/1812.09849v1
• [physics.soc-ph]The Chaperone Effect in Scientific Publishing
Vedran Sekara, Pierre Deville, Sebastian Ahnert, Albert-László Barabási, Roberta Sinatra, Sune Lehmann
http://arxiv.org/abs/1812.10181v1
• [q-fin.PM]Portfolio Optimization for Cointelated Pairs: SDEs vs. Machine Learning
Babak Mahdavi-Damghani, Konul Mustafayeva, Stephen Roberts, Cristin Buescu
http://arxiv.org/abs/1812.10183v1
• [q-fin.TR]Optimizing Market Making using Multi-Agent Reinforcement Learning
Yagna Patel
http://arxiv.org/abs/1812.10252v1
• [quant-ph]Efficiently computable bounds for magic state distillation
Xin Wang, Mark M. Wilde, Yuan Su
http://arxiv.org/abs/1812.10145v1
• [stat.AP]A backward procedure for change-point detection with applications to copy number variation detection
Seung Jun Shin, Yichao Wu, Ning Hao
http://arxiv.org/abs/1812.10107v1
• [stat.AP]Bayesian Point Set Registration
Adam Spannaus, Vasileios Maroulas, David J. Keffer, Kody J. H. Law
http://arxiv.org/abs/1812.09821v1
• [stat.AP]Comparing Spatial Regression to Random Forests for Large Environmental Data Sets
Eric W. Fox, Jay M. Ver Hoef, Anthony R. Olsen
http://arxiv.org/abs/1812.10236v1
• [stat.AP]Detecting British Columbia Coastal Rainfall Patterns by Clustering Gaussian Processes
Forrest Paton, Paul D. McNicholas
http://arxiv.org/abs/1812.09758v1
• [stat.CO]An Algorithm for computing the t-signature of two-state networks
M. Siavashi, S. Zarezadeh
http://arxiv.org/abs/1812.10150v1
• [stat.ME]Bayesian Propagation of Record Linkage Uncertainty into Population Size Estimation of Human Rights Violations
Mauricio Sadinle
http://arxiv.org/abs/1812.09590v1
• [stat.ME]Bayesian semiparametric modelling of phase-varying point processes
Bastian Galasso, Yoav Zemel, Miguel de Carvalho
http://arxiv.org/abs/1812.09607v1
• [stat.ME]Bi-clustering for time-varying relational count data analysis
Satoshi Goto, Mariko Takagishi, Hiroshi Yadohisa
http://arxiv.org/abs/1812.09481v1
• [stat.ME]Model Selection for Mixture Models - Perspectives and Strategies
Gilles Celeux, Sylvia Fruewirth-Schnatter, Christian P. Robert
http://arxiv.org/abs/1812.09885v1
• [stat.ME]On discrimination between the Lindley and xgamma distributions
Subhradev Sen, Hazem Al-Mofleh, Sudhansu S. Maiti
http://arxiv.org/abs/1812.10042v1
• [stat.ME]Optimal Treatment Selection Using the Covariate-Specific Treatment Effect Curve with High-dimensional Covariates
Wenchuan Guo, Xiao-hua Zhou, Shujie Ma
http://arxiv.org/abs/1812.10018v1
• [stat.ME]Synthetic Difference in Differences
Dmitry Arkhangelsky, Susan Athey, David A. Hirshberg, Guido W. Imbens, Stefan Wager
http://arxiv.org/abs/1812.09970v1
• [stat.ME]rstap: An R Package for Spatial Temporal Aggregated Predictor Models
Adam Peterson, Brisa Sanchez
http://arxiv.org/abs/1812.10208v1
• [stat.ML]A determinantal point process for column subset selection
Ayoub Belhadji, Rémi Bardenet, Pierre Chainais
http://arxiv.org/abs/1812.09771v1
• [stat.ML]Bayesian Causal Inference
Maximilian Kurthen, Torsten A. Enßlin
http://arxiv.org/abs/1812.09895v1
• [stat.ML]Deep neural networks are biased towards simple functions
Giacomo De Palma, Bobak Toussi Kiani, Seth Lloyd
http://arxiv.org/abs/1812.10156v1
• [stat.ML]Guessing Smart: Biased Sampling for Efficient Black-Box Adversarial Attacks
Thomas Brunner, Frederik Diehl, Michael Truong Le, Alois Knoll
http://arxiv.org/abs/1812.09803v1
• [stat.ML]Large Multistream Data Analytics for Monitoring and Diagnostics in Manufacturing Systems
Samaneh Ebrahimi, Chitta Ranjan, Kamran Paynabar
http://arxiv.org/abs/1812.10430v1
网友评论