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.DC - 分布式、并行与集群计算
cs.HC - 人机接口
cs.IR - 信息检索
cs.IT - 信息论
cs.LG - 自动学习
cs.MA - 多代理系统
cs.OS - 操作系统
cs.RO - 机器人学
cs.SD - 声音处理
cs.SI - 社交网络与信息网络
cs.SY - 系统与控制
eess.AS - 语音处理
eess.IV - 图像与视频处理
math.OC - 优化与控制
math.ST - 统计理论
physics.chem-ph -化学物理
physics.comp-ph - 计算物理学
q-fin.ST - 统计金融学
stat.AP - 应用统计
stat.ME - 统计方法论
stat.ML - (统计)机器学习
• [cs.CL]A standardized Project Gutenberg corpus for statistical analysis of natural language and quantitative linguistics
• [cs.CL]Cyberbullying Detection in Social Networks Using Deep Learning Based Models; A Reproducibility Study
• [cs.CL]DTMT: A Novel Deep Transition Architecture for Neural Machine Translation
• [cs.CL]FrameNet automatic analysis : a study on a French corpus of encyclopedic texts
• [cs.CL]Self-Attention: A Better Building Block for Sentiment Analysis Neural Network Classifiers
• [cs.CL]Semantic Frame Parsing for Information Extraction : the CALOR corpus
• [cs.CL]Streaming Voice Query Recognition using Causal Convolutional Recurrent Neural Networks
• [cs.CL]Switch-LSTMs for Multi-Criteria Chinese Word Segmentation
• [cs.CL]wav2letter++: The Fastest Open-source Speech Recognition System
• [cs.CR]Preventing Attacks on Anonymous Data Collection
• [cs.CV]A Gated Peripheral-Foveal Convolutional Neural Network for Unified Image Aesthetic Prediction
• [cs.CV]Accurate Hand Keypoint Localization on Mobile Devices
• [cs.CV]Balanced Random Forest Classifier in WEKA
• [cs.CV]Crack Detection Using Enhanced Thresholding on UAV based Collected Images
• [cs.CV]Cross-Database Micro-Expression Recognition: A Benchmark
• [cs.CV]Deep Global-Relative Networks for End-to-End 6-DoF Visual Localization and Odometry
• [cs.CV]Discriminative analysis of the human cortex using spherical CNNs - a study on Alzheimer's disease diagnosis
• [cs.CV]Dynamic Programming Approach to Template-based OCR
• [cs.CV]Explanatory Graphs for CNNs
• [cs.CV]FML: Face Model Learning from Videos
• [cs.CV]GD-GAN: Generative Adversarial Networks for Trajectory Prediction and Group Detection in Crowds
• [cs.CV]Generating Diverse and Meaningful Captions
• [cs.CV]Generative One-Shot Learning (GOL): A Semi-Parametric Approach to One-Shot Learning in Autonomous Vision
• [cs.CV]Learning On-Road Visual Control for Self-Driving Vehicles with Auxiliary Tasks
• [cs.CV]Learning Symmetry Consistent Deep CNNs for Face Completion
• [cs.CV]Learning beamforming in ultrasound imaging
• [cs.CV]Light Weight Color Image Warping with Inter-Channel Information
• [cs.CV]Magnetic Resonance Fingerprinting using Recurrent Neural Networks
• [cs.CV]Mini-UAV-based Remote Sensing: Techniques, Applications and Prospectives
• [cs.CV]Mining Interpretable AOG Representations from Convolutional Networks via Active Question Answering
• [cs.CV]Multi-Shot Sensitivity-Encoded Diffusion MRI using Model-Based Deep Learning (MODL-MUSSELS)
• [cs.CV]Multitask Painting Categorization by Deep Multibranch Neural Network
• [cs.CV]OpenPose: Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields
• [cs.CV]Physical Attribute Prediction Using Deep Residual Neural Networks
• [cs.CV]PnP-AdaNet: Plug-and-Play Adversarial Domain Adaptation Network with a Benchmark at Cross-modality Cardiac Segmentation
• [cs.CV]Removing rain streaks by a linear model
• [cs.CV]Rotation Ensemble Module for Detecting Rotation-Invariant Features
• [cs.CV]Semi-Supervised Deep Learning for Abnormality Classification in Retinal Images
• [cs.CV]Shallow Cue Guided Deep Visual Tracking via Mixed Models
• [cs.CV]Training on the test set? An analysis of Spampinato et al. [31]
• [cs.CV]Unsupervised Event-based Learning of Optical Flow, Depth, and Egomotion
• [cs.CV]Unsupervised Video Object Segmentation with Distractor-Aware Online Adaptation
• [cs.CV]Very Power Efficient Neural Time-of-Flight
• [cs.CV]Window detection in aerial texture images of the Berlin 3D CityGML Model
• [cs.DC]AME Blockchain: An Architecture Design for Closed-Loop Fluid Economy Token System
• [cs.DC]Decentralized Periodic Approach for Adaptive Fault Diagnosis in Distributed Systems
• [cs.DC]Exposing A Customizable, Decentralized Cryptoeconomy as a Data Type
• [cs.DC]Fault Diagnosis for Distributed Systems using Accuracy Technique
• [cs.DC]Orchestrate: Infrastructure for Enabling Parallelism during Hyperparameter Optimization
• [cs.HC]Automatic Detection of Reflective Thinking in Mathematical Problem Solving based on Unconstrained Bodily Exploration
• [cs.HC]Motivations, Classification and Model Trial of Conversational Agents for Insurance Companies
• [cs.HC]Progressive Data Science: Potential and Challenges
• [cs.IR]Proximity Full-Text Search with a Response Time Guarantee by Means of Additional Indexes with Multi-Component Keys
• [cs.IT]Active Learning and CSI acquisition for mmWave Initial Alignment
• [cs.IT]Derandomizing compressed sensing with combinatorial design
• [cs.IT]Log-logarithmic Time Pruned Polar Coding on Binary Erasure Channels
• [cs.IT]Minimizing Age of Information with Soft Updates
• [cs.IT]Polar-like Codes and Asymptotic Tradeoff among Block Length, Code Rate, and Error Probability
• [cs.IT]Probabilistically Shaped Multi-Level Coding with Polar Codes for Fading Channels
• [cs.IT]Simple Semi-Grant-Free Transmission Strategies Assisted by Non-Orthogonal Multiple Access
• [cs.LG]A Comparison of LSTMs and Attention Mechanisms for Forecasting Financial Time Series
• [cs.LG]A Review of Meta-Reinforcement Learning for Deep Neural Networks Architecture Search
• [cs.LG]Adam Induces Implicit Weight Sparsity in Rectifier Neural Networks
• [cs.LG]An Empirical Evaluation of Sketched SVD and its Application to Leverage Score Ordering
• [cs.LG]CNN based Multi-Instance Multi-Task Learning for Syndrome Differentiation of Diabetic Patients
• [cs.LG]Clustering-Oriented Representation Learning with Attractive-Repulsive Loss
• [cs.LG]Credibility evaluation of income data with hierarchical correlation reconstruction
• [cs.LG]Deep Gated Recurrent and Convolutional Network Hybrid Model for Univariate Time Series Classification
• [cs.LG]Deep Online Learning via Meta-Learning: Continual Adaptation for Model-Based RL
• [cs.LG]Deep Transfer Learning for Static Malware Classification
• [cs.LG]Deep Variational Sufficient Dimensionality Reduction
• [cs.LG]Entropy-Constrained Training of Deep Neural Networks
• [cs.LG]Fast Adjustable Threshold For Uniform Neural Network Quantization
• [cs.LG]Fast Botnet Detection From Streaming Logs Using Online Lanczos Method
• [cs.LG]Fast and Accurate 3D Medical Image Segmentation with Data-swapping Method
• [cs.LG]Found in Translation: Learning Robust Joint Representations by Cyclic Translations Between Modalities
• [cs.LG]Interpretable preference learning: a game theoretic framework for large margin on-line feature and rule learning
• [cs.LG]Machine Learning in Cyber-Security - Problems, Challenges and Data Sets
• [cs.LG]Max-Diversity Distributed Learning: Theory and Algorithms
• [cs.LG]Modular meta-learning in abstract graph networks for combinatorial generalization
• [cs.LG]On The Chain Rule Optimal Transport Distance
• [cs.LG]Representation Learning for Spatial Graphs
• [cs.LG]Sepsis Prediction and Vital Signs Ranking in Intensive Care Unit Patients
• [cs.LG]Towards Deep Conversational Recommendations
• [cs.LG]Training Deep Neural Networks with 8-bit Floating Point Numbers
• [cs.LG]Training on Art Composition Attributes to Influence CycleGAN Art Generation
• [cs.LG]Unifying Topic, Sentiment & Preference in an HDP-Based Rating Regression Model for Online Reviews
• [cs.LG]Universal Successor Features Approximators
• [cs.MA]Hierarchical Macro Strategy Model for MOBA Game AI
• [cs.OS]Modeling Processor Idle Times in MPSoC Platforms to Enable Integrated DPM, DVFS, and Task Scheduling Subject to a Hard Deadline
• [cs.RO]Angle-Encoded Swarm Optimization for UAV Formation Path Planning
• [cs.RO]MID-Fusion: Octree-based Object-Level Multi-Instance Dynamic SLAM
• [cs.RO]Proceedings of the Workshop on Social Robots in Therapy: Focusing on Autonomy and Ethical Challenges
• [cs.SD]Uniform Convergence Bounds for Codec Selection
• [cs.SI]"Woman-Metal-White vs Man-Dress-Shorts": Combining Social, Temporal and Image Signals to Understand Popularity of Pinterest Fashion Boards
• [cs.SI]Computing a Score of Navigability in Large Graphs
• [cs.SI]Endogenous Epistemic Factionalization: A Network Epistemology Approach
• [cs.SI]Lexical analysis of automated accounts on Twitter
• [cs.SY]Distributed Algorithms for Internet-of-Things enabled Prosumer Markets: A Control Theoretic Perspective
• [cs.SY]Modelling and Fast Terminal Sliding Mode Control for Mirror-based Pointing Systems
• [eess.AS]Pathological Voice Classification Using Mel-Cepstrum Vectors and Support Vector Machine
• [eess.IV]A Tour of Unsupervised Deep Learning for Medical Image Analysis
• [math.OC]A Note on Lazy Training in Supervised Differentiable Programming
• [math.ST]A Bayesian semiparametric Archimedean copula
• [math.ST]A General Theory for Large-Scale Curve Time Series via Functional Stability Measure
• [math.ST]Convergence Rates for the Generalized Fréchet Mean via the Quadruple Inequality
• [math.ST]Inference For Heterogeneous Effects Using Low-Rank Estimations
• [math.ST]Parametrising correlation matrices
• [math.ST]Regressions with Fractional d=1/2 and Weakly Nonstationary Processes
• [math.ST]Sharp optimal recovery in the Two Gaussian Mixture Model
• [math.ST]Spectral Inference under Complex Temporal Dynamics
• [math.ST]The Mixture of Markov Jump Processes: Monte Carlo Method and the EM Estimation
• [physics.chem-ph]Machine Learning for Molecular Dynamics on Long Timescales
• [physics.chem-ph]Molecular Dynamics with Neural-Network Potentials
• [physics.comp-ph]Targeting GPUs with OpenMP Directives on Summit: A Simple and Effective Fortran Experience
• [q-fin.ST]Zero-Inflated Autoregressive Conditional Duration Model for Discrete Trade Durations with Excessive Zeros
• [stat.AP]A robust estimation for the extended t-process regression model
• [stat.AP]Bayesian regression with spatio-temporal varying coefficients
• [stat.AP]Efficiency in Lung Transplant Allocation Strategies
• [stat.AP]On environmental contours for marine and coastal design
• [stat.AP]Pattern Analysis of World Conflicts over the past 600 years
• [stat.AP]cgam: An R Package for the Constrained Generalized Additive Model
• [stat.ME]Active learning for efficiently training emulators of computationally expensive mathematical models
• [stat.ME]Bayesian Restricted Likelihood Methods: Conditioning on Insufficient Statistics in Bayesian Regression
• [stat.ME]Comment on "Model Confidence Bounds for Variable Selection" by Yang Li, Yuetian Luo, Davide Ferrari, Xiaonan Hu, and Yichen Qin
• [stat.ME]Covariance-based sample selection for heterogenous data: Applications to gene expression and autism risk gene detection
• [stat.ME]Multivariate one-sided testing in matched observational studies as an adversarial game
• [stat.ME]The negative binomial beta prime regression model with cure rate
• [stat.ME]Wasserstein Covariance for Multiple Random Densities
• [stat.ML]A Novel Variational Autoencoder with Applications to Generative Modelling, Classification, and Ordinal Regression
• [stat.ML]An Empirical Study of Generative Models with Encoders
• [stat.ML]Fast Exact Computation of Expected HyperVolume Improvement
• [stat.ML]Matrix Completion under Low-Rank Missing Mechanism
·····································
• [cs.CL]A standardized Project Gutenberg corpus for statistical analysis of natural language and quantitative linguistics
Martin Gerlach, Francesc Font-Clos
http://arxiv.org/abs/1812.08092v1
• [cs.CL]Cyberbullying Detection in Social Networks Using Deep Learning Based Models; A Reproducibility Study
Maral Dadvar, Kai Eckert
http://arxiv.org/abs/1812.08046v1
• [cs.CL]DTMT: A Novel Deep Transition Architecture for Neural Machine Translation
Fandong Meng, Jinchao Zhang
http://arxiv.org/abs/1812.07807v1
• [cs.CL]FrameNet automatic analysis : a study on a French corpus of encyclopedic texts
Gabriel Marzinotto, Géraldine Damnati, Frederic Bechet
http://arxiv.org/abs/1812.08044v1
• [cs.CL]Self-Attention: A Better Building Block for Sentiment Analysis Neural Network Classifiers
Artaches Ambartsoumian, Fred Popowich
http://arxiv.org/abs/1812.07860v1
• [cs.CL]Semantic Frame Parsing for Information Extraction : the CALOR corpus
Gabriel Marzinotto, Jeremy Auguste, Frederic Bechet, Géraldine Damnati, Alexis Nasr
http://arxiv.org/abs/1812.08039v1
• [cs.CL]Streaming Voice Query Recognition using Causal Convolutional Recurrent Neural Networks
Raphael Tang, Gefei Yang, Hong Wei, Yajie Mao, Ferhan Ture, Jimmy Lin
http://arxiv.org/abs/1812.07754v1
• [cs.CL]Switch-LSTMs for Multi-Criteria Chinese Word Segmentation
Jingjing Gong, Xinchi Chen, Tao Gui, Xipeng Qiu
http://arxiv.org/abs/1812.08033v1
• [cs.CL]wav2letter++: The Fastest Open-source Speech Recognition System
Vineel Pratap, Awni Hannun, Qiantong Xu, Jeff Cai, Jacob Kahn, Gabriel Synnaeve, Vitaliy Liptchinsky, Ronan Collobert
http://arxiv.org/abs/1812.07625v1
• [cs.CR]Preventing Attacks on Anonymous Data Collection
Alex Catarineu, Philipp Claßen, Konark Modi, Josep M. Pujol
http://arxiv.org/abs/1812.07927v1
• [cs.CV]A Gated Peripheral-Foveal Convolutional Neural Network for Unified Image Aesthetic Prediction
Xiaodan Zhang, Xinbo Gao, Wen Lu, Lihuo He
http://arxiv.org/abs/1812.07989v1
• [cs.CV]Accurate Hand Keypoint Localization on Mobile Devices
Filippos Gouidis, Paschalis Panteleris, Iason Oikonomidis, Antonis Argyros
http://arxiv.org/abs/1812.08028v1
• [cs.CV]Balanced Random Forest Classifier in WEKA
Mario Amrehn, Firas Mualla, Elli Angelopoulou, Stefan Steidl, Andreas Maier
http://arxiv.org/abs/1812.08102v1
• [cs.CV]Crack Detection Using Enhanced Thresholding on UAV based Collected Images
Q. Zhu, T. H. Dinh, V. T. Hoang, M. D. Phung, Q. P. Ha
http://arxiv.org/abs/1812.07868v1
• [cs.CV]Cross-Database Micro-Expression Recognition: A Benchmark
Yuan Zong, Wenming Zheng, Xiaopeng Hong, Chuangao Tang, Zhen Cui, Guoying Zhao
http://arxiv.org/abs/1812.07742v1
• [cs.CV]Deep Global-Relative Networks for End-to-End 6-DoF Visual Localization and Odometry
Yimin Lin, Zhaoxiang Liu, Jianfeng Huang, Chaopeng Wang, Guoguang Du, Jinqiang Bai, Shiguo Lian, Bill Huang
http://arxiv.org/abs/1812.07869v1
• [cs.CV]Discriminative analysis of the human cortex using spherical CNNs - a study on Alzheimer's disease diagnosis
Xinyang Feng, Jie Yang, Andrew F. Laine, Elsa D. Angelini
http://arxiv.org/abs/1812.07749v1
• [cs.CV]Dynamic Programming Approach to Template-based OCR
M. A. Povolotskiy, D. V. Tropin
http://arxiv.org/abs/1812.07933v1
• [cs.CV]Explanatory Graphs for CNNs
Quanshi Zhang, Xin Wang, Ruiming Cao, Ying Nian Wu, Feng Shi, Song-Chun Zhu
http://arxiv.org/abs/1812.07997v1
• [cs.CV]FML: Face Model Learning from Videos
Ayush Tewari, Florian Bernard, Pablo Garrido, Gaurav Bharaj, Mohamed Elgharib, Hans-Peter Seidel, Patrick Pérez, Michael Zollhöfer, Christian Theobalt
http://arxiv.org/abs/1812.07603v1
• [cs.CV]GD-GAN: Generative Adversarial Networks for Trajectory Prediction and Group Detection in Crowds
Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes
http://arxiv.org/abs/1812.07667v1
• [cs.CV]Generating Diverse and Meaningful Captions
Annika Lindh, Robert J. Ross, Abhijit Mahalunkar, Giancarlo Salton, John D. Kelleher
http://arxiv.org/abs/1812.08126v1
• [cs.CV]Generative One-Shot Learning (GOL): A Semi-Parametric Approach to One-Shot Learning in Autonomous Vision
Sorin Grigorescu
http://arxiv.org/abs/1812.07567v1
• [cs.CV]Learning On-Road Visual Control for Self-Driving Vehicles with Auxiliary Tasks
Yilun Chen, Praveen Palanisamy, Priyantha Mudalige, Katharina Muelling, John M. Dolan
http://arxiv.org/abs/1812.07760v1
• [cs.CV]Learning Symmetry Consistent Deep CNNs for Face Completion
Xiaoming Li, Ming Liu, Jieru Zhu, Wangmeng Zuo, Meng Wang, Guosheng Hu, Lei Zhang
http://arxiv.org/abs/1812.07741v1
• [cs.CV]Learning beamforming in ultrasound imaging
Sanketh Vedula, Ortal Senouf, Grigoriy Zurakhov, Alex Bronstein, Oleg Michailovich, Michael Zibulevsky
http://arxiv.org/abs/1812.08043v1
• [cs.CV]Light Weight Color Image Warping with Inter-Channel Information
Chuangye Zhang, Yan Niu, Tieru Wu, Ximing Li
http://arxiv.org/abs/1812.07763v1
• [cs.CV]Magnetic Resonance Fingerprinting using Recurrent Neural Networks
Ilkay Oksuz, Gastao Cruz, James Clough, Aurelien Bustin, Nicolo Fuin, Rene M. Botnar, Claudia Prieto, Andrew P. King, Julia A. Schnabel
http://arxiv.org/abs/1812.08155v1
• [cs.CV]Mini-UAV-based Remote Sensing: Techniques, Applications and Prospectives
Tian-Zhu Xiang, Gui-Song Xia, Liangpei Zhang
http://arxiv.org/abs/1812.07770v1
• [cs.CV]Mining Interpretable AOG Representations from Convolutional Networks via Active Question Answering
Quanshi Zhang, Ruiming Cao, Ying Nian Wu, Song-Chun Zhu
http://arxiv.org/abs/1812.07996v1
• [cs.CV]Multi-Shot Sensitivity-Encoded Diffusion MRI using Model-Based Deep Learning (MODL-MUSSELS)
Hemant Kumar Aggarwal, Merry P. Mani, Mathews Jacob
http://arxiv.org/abs/1812.08115v1
• [cs.CV]Multitask Painting Categorization by Deep Multibranch Neural Network
Simone Bianco, Davide Mazzini, Paolo Napoletano, Raimondo Schettini
http://arxiv.org/abs/1812.08052v1
• [cs.CV]OpenPose: Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields
Zhe Cao, Gines Hidalgo, Tomas Simon, Shih-En Wei, Yaser Sheikh
http://arxiv.org/abs/1812.08008v1
• [cs.CV]Physical Attribute Prediction Using Deep Residual Neural Networks
Rashidedin Jahandideh, Alireza Tavakoli Targhi, Maryam Tahmasbi
http://arxiv.org/abs/1812.07857v1
• [cs.CV]PnP-AdaNet: Plug-and-Play Adversarial Domain Adaptation Network with a Benchmark at Cross-modality Cardiac Segmentation
Qi Dou, Cheng Ouyang, Cheng Chen, Hao Chen, Ben Glocker, Xiahai Zhuang, Pheng-Ann Heng
http://arxiv.org/abs/1812.07907v1
• [cs.CV]Removing rain streaks by a linear model
Yinglong Wang, Shuaicheng Liu, Bing Zeng
http://arxiv.org/abs/1812.07870v1
• [cs.CV]Rotation Ensemble Module for Detecting Rotation-Invariant Features
Dongwon Park, Yonghyeok Seo, Se Young Chun
http://arxiv.org/abs/1812.07762v1
• [cs.CV]Semi-Supervised Deep Learning for Abnormality Classification in Retinal Images
Bruno Lecouat, Ken Chang, Chuan-Sheng Foo, Balagopal Unnikrishnan, James M. Brown, Houssam Zenati, Andrew Beers, Vijay Chandrasekhar, Jayashree Kalpathy-Cramer, Pavitra Krishnaswamy
http://arxiv.org/abs/1812.07832v1
• [cs.CV]Shallow Cue Guided Deep Visual Tracking via Mixed Models
Fangwen Tu, Shuzhi Sam Ge, Chang Chieh Hang
http://arxiv.org/abs/1812.08094v1
• [cs.CV]**Training on the test set? An analysis of Spampinato et al. [31]****
Ren Li, Jared S. Johansen, Hamad Ahmed, Thomas V. Ilyevsky, Ronnie B Wilbur, Hari M Bharadwaj, Jeffrey Mark Siskind
http://arxiv.org/abs/1812.07697v1
• [cs.CV]Unsupervised Event-based Learning of Optical Flow, Depth, and Egomotion
Alex Zihao Zhu, Liangzhe Yuan, Kenneth Chaney, Kostas Daniilidis
http://arxiv.org/abs/1812.08156v1
• [cs.CV]Unsupervised Video Object Segmentation with Distractor-Aware Online Adaptation
Ye Wang, Jongmoo Choi, Yueru Chen, Siyang Li, Qin Huang, Kaitai Zhang, Ming-Sui Lee, C. -C. Jay Kuo
http://arxiv.org/abs/1812.07712v1
• [cs.CV]Very Power Efficient Neural Time-of-Flight
Yan Chen, Jimmy Ren, Xuanye Cheng, Keyuan Qian, Jinwei Gu
http://arxiv.org/abs/1812.08125v1
• [cs.CV]Window detection in aerial texture images of the Berlin 3D CityGML Model
Franziska Lippoldt, Marius Erdt
http://arxiv.org/abs/1812.08095v1
• [cs.DC]AME Blockchain: An Architecture Design for Closed-Loop Fluid Economy Token System
Lanny Z. N. Yuan, Huaibing Jian, Peng Liu, Pengxin Zhu, ShanYang Fu
http://arxiv.org/abs/1812.08017v1
• [cs.DC]Decentralized Periodic Approach for Adaptive Fault Diagnosis in Distributed Systems
Latika Sarna, Sumedha Shenolikar, Poorva Kulkarni, Varsha Deshpande, Supriya Kelkar
http://arxiv.org/abs/1812.07782v1
• [cs.DC]Exposing A Customizable, Decentralized Cryptoeconomy as a Data Type
Jovonni L. Pharr
http://arxiv.org/abs/1812.08073v1
• [cs.DC]Fault Diagnosis for Distributed Systems using Accuracy Technique
Poorva Kulkarni, Varsha Deshpande, Latika Sarna, Sumedha Shenolikar, Supriya Kelkar
http://arxiv.org/abs/1812.07771v1
• [cs.DC]Orchestrate: Infrastructure for Enabling Parallelism during Hyperparameter Optimization
Alexandra Johnson, Michael McCourt
http://arxiv.org/abs/1812.07751v1
• [cs.HC]Automatic Detection of Reflective Thinking in Mathematical Problem Solving based on Unconstrained Bodily Exploration
Temitayo A. Olugbade, Joseph Newbold, Rose Johnson, Erica Volta, Paolo Alborno, Radoslaw Niewiadomski, Max Dillon, Gualtiero Volpe, Nadia Bianchi-Berthouze
http://arxiv.org/abs/1812.07941v1
• [cs.HC]Motivations, Classification and Model Trial of Conversational Agents for Insurance Companies
Falko Koetter, Matthias Blohm, Monika Kochanowski, Joscha Goetzer, Daniel Graziotin, Stefan Wagner
http://arxiv.org/abs/1812.07339v2
• [cs.HC]Progressive Data Science: Potential and Challenges
Cagatay Turkay, Nicola Pezzotti, Carsten Binnig, Hendrik Strobelt, Barbara Hammer, Daniel A. Keim, Jean-Daniel Fekete, Themis Palpanas, Yunhai Wang, Florin Rusu
http://arxiv.org/abs/1812.08032v1
• [cs.IR]Proximity Full-Text Search with a Response Time Guarantee by Means of Additional Indexes with Multi-Component Keys
Alexander B. Veretennikov
http://arxiv.org/abs/1812.07640v1
• [cs.IT]Active Learning and CSI acquisition for mmWave Initial Alignment
Sung-En Chiu, Nancy Ronquillo, Tara Javidi
http://arxiv.org/abs/1812.07722v1
• [cs.IT]Derandomizing compressed sensing with combinatorial design
Peter Jung, Richard Kueng, Dustin G. Mixon
http://arxiv.org/abs/1812.08130v1
• [cs.IT]Log-logarithmic Time Pruned Polar Coding on Binary Erasure Channels
Hsin-Po Wang, Iwan Duursma
http://arxiv.org/abs/1812.08106v1
• [cs.IT]Minimizing Age of Information with Soft Updates
Melih Bastopcu, Sennur Ulukus
http://arxiv.org/abs/1812.08148v1
• [cs.IT]Polar-like Codes and Asymptotic Tradeoff among Block Length, Code Rate, and Error Probability
Hsin-Po Wang, Iwan Duursma
http://arxiv.org/abs/1812.08112v1
• [cs.IT]Probabilistically Shaped Multi-Level Coding with Polar Codes for Fading Channels
Onurcan İşcan, Ronald Böhnke, Wen Xu
http://arxiv.org/abs/1812.07864v1
• [cs.IT]Simple Semi-Grant-Free Transmission Strategies Assisted by Non-Orthogonal Multiple Access
Zhiguo Ding, Robert Schober, Pingzhi Fan, H. Vincent Poor
http://arxiv.org/abs/1812.07883v1
• [cs.LG]A Comparison of LSTMs and Attention Mechanisms for Forecasting Financial Time Series
Thomas Hollis, Antoine Viscardi, Seung Eun Yi
http://arxiv.org/abs/1812.07699v1
• [cs.LG]A Review of Meta-Reinforcement Learning for Deep Neural Networks Architecture Search
Yesmina Jaafra, Jean Luc Laurent, Aline Deruyver, Mohamed Saber Naceur
http://arxiv.org/abs/1812.07995v1
• [cs.LG]Adam Induces Implicit Weight Sparsity in Rectifier Neural Networks
Atsushi Yaguchi, Taiji Suzuki, Wataru Asano, Shuhei Nitta, Yukinobu Sakata, Akiyuki Tanizawa
http://arxiv.org/abs/1812.08119v1
• [cs.LG]An Empirical Evaluation of Sketched SVD and its Application to Leverage Score Ordering
Hui Han Chin, Paul Pu Liang
http://arxiv.org/abs/1812.07903v1
• [cs.LG]CNN based Multi-Instance Multi-Task Learning for Syndrome Differentiation of Diabetic Patients
Zeyuan Wang, Josiah Poon, Shiding Sun, Simon Poon
http://arxiv.org/abs/1812.07764v1
• [cs.LG]Clustering-Oriented Representation Learning with Attractive-Repulsive Loss
Kian Kenyon-Dean, Andre Cianflone, Lucas Page-Caccia, Guillaume Rabusseau, Jackie Chi Kit Cheung, Doina Precup
http://arxiv.org/abs/1812.07627v1
• [cs.LG]Credibility evaluation of income data with hierarchical correlation reconstruction
Jarek Duda, Adam Szulc
http://arxiv.org/abs/1812.08040v1
• [cs.LG]Deep Gated Recurrent and Convolutional Network Hybrid Model for Univariate Time Series Classification
Nelly Elsayed, Anthony S. Maida, Magdy Bayoumi
http://arxiv.org/abs/1812.07683v1
• [cs.LG]Deep Online Learning via Meta-Learning: Continual Adaptation for Model-Based RL
Anusha Nagabandi, Chelsea Finn, Sergey Levine
http://arxiv.org/abs/1812.07671v1
• [cs.LG]Deep Transfer Learning for Static Malware Classification
Li Chen
http://arxiv.org/abs/1812.07606v1
• [cs.LG]Deep Variational Sufficient Dimensionality Reduction
Ershad Banijamali, Amir-Hossein Karimi, Ali Ghodsi
http://arxiv.org/abs/1812.07641v1
• [cs.LG]Entropy-Constrained Training of Deep Neural Networks
Simon Wiedemann, Arturo Marban, Klaus-Robert Müller, Wojciech Samek
http://arxiv.org/abs/1812.07520v2
• [cs.LG]Fast Adjustable Threshold For Uniform Neural Network Quantization
Alexander Goncharenko, Andrey Denisov, Sergey Alyamkin, Evgeny Terentev
http://arxiv.org/abs/1812.07872v1
• [cs.LG]Fast Botnet Detection From Streaming Logs Using Online Lanczos Method
Zheng Chen, Xinli Yu, Chi Zhang, Jin Zhang, Cui Lin, Bo Song, Jianliang Gao, Xiaohua Hu, Wei-Shih Yang, Erjia Yan
http://arxiv.org/abs/1812.07810v1
• [cs.LG]Fast and Accurate 3D Medical Image Segmentation with Data-swapping Method
Haruki Imai, Samuel Matzek, Tung D. Le, Yasushi Negishi, Kiyokuni Kawachiya
http://arxiv.org/abs/1812.07816v1
• [cs.LG]Found in Translation: Learning Robust Joint Representations by Cyclic Translations Between Modalities
Hai Pham, Paul Pu Liang, Thomas Manzini, Louis-Philippe Morency, Barnabas Poczos
http://arxiv.org/abs/1812.07809v1
• [cs.LG]Interpretable preference learning: a game theoretic framework for large margin on-line feature and rule learning
Mirko Polato, Fabio Aiolli
http://arxiv.org/abs/1812.07895v1
• [cs.LG]Machine Learning in Cyber-Security - Problems, Challenges and Data Sets
Idan Amit, John Matherly, William Hewlett, Zhi Xu, Yinnon Meshi, Yigal Weinberger
http://arxiv.org/abs/1812.07858v1
• [cs.LG]Max-Diversity Distributed Learning: Theory and Algorithms
Yong Liu, Jian Li, Weiping Wang
http://arxiv.org/abs/1812.07738v1
• [cs.LG]Modular meta-learning in abstract graph networks for combinatorial generalization
Ferran Alet, Maria Bauza, Alberto Rodriguez, Tomas Lozano-Perez, Leslie P. Kaelbling
http://arxiv.org/abs/1812.07768v1
• [cs.LG]On The Chain Rule Optimal Transport Distance
Frank Nielsen, Ke Sun
http://arxiv.org/abs/1812.08113v1
• [cs.LG]Representation Learning for Spatial Graphs
Zheng Wang, Ce Ju, Gao Cong, Cheng Long
http://arxiv.org/abs/1812.06668v2
• [cs.LG]Sepsis Prediction and Vital Signs Ranking in Intensive Care Unit Patients
Avijit Mitra, Khalid Ashraf
http://arxiv.org/abs/1812.06686v2
• [cs.LG]Towards Deep Conversational Recommendations
Raymond Li, Samira Kahou, Hannes Schulz, Vincent Michalski, Laurent Charlin, Chris Pal
http://arxiv.org/abs/1812.07617v1
• [cs.LG]Training Deep Neural Networks with 8-bit Floating Point Numbers
Naigang Wang, Jungwook Choi, Daniel Brand, Chia-Yu Chen, Kailash Gopalakrishnan
http://arxiv.org/abs/1812.08011v1
• [cs.LG]Training on Art Composition Attributes to Influence CycleGAN Art Generation
Holly Grimm
http://arxiv.org/abs/1812.07710v1
• [cs.LG]Unifying Topic, Sentiment & Preference in an HDP-Based Rating Regression Model for Online Reviews
Zheng Chen, Yong Zhang, Yue Shang, Xiaohua Hu
http://arxiv.org/abs/1812.07805v1
• [cs.LG]Universal Successor Features Approximators
Diana Borsa, André Barreto, John Quan, Daniel Mankowitz, Rémi Munos, Hado van Hasselt, David Silver, Tom Schaul
http://arxiv.org/abs/1812.07626v1
• [cs.MA]Hierarchical Macro Strategy Model for MOBA Game AI
Bin Wu, Qiang Fu, Jing Liang, Peng Qu, Xiaoqian Li, Liang Wang, Wei Liu, Wei Yang, Yongsheng Liu
http://arxiv.org/abs/1812.07887v1
• [cs.OS]Modeling Processor Idle Times in MPSoC Platforms to Enable Integrated DPM, DVFS, and Task Scheduling Subject to a Hard Deadline
Amirhossein Esmaili, Mahdi Nazemi, Massoud Pedram
http://arxiv.org/abs/1812.07723v1
• [cs.RO]Angle-Encoded Swarm Optimization for UAV Formation Path Planning
V. T. Hoang, M. D. Phung, T. H. Dinh, Q. P. Ha
http://arxiv.org/abs/1812.07873v1
• [cs.RO]MID-Fusion: Octree-based Object-Level Multi-Instance Dynamic SLAM
Binbin Xu, Wenbin Li, Dimos Tzoumanikas, Michael Bloesch, Andrew Davison, Stefan Leutenegger
http://arxiv.org/abs/1812.07976v1
• [cs.RO]Proceedings of the Workshop on Social Robots in Therapy: Focusing on Autonomy and Ethical Challenges
Pablo G. Esteban, Daniel Hernández García, Hee Rin Lee, Pauline Chevalier, Paul Baxter, Cindy L. Bethel, Jainendra Shukla, Joan Oliver, Domènec Puig, Jason R. Wilson, Linda Tickle-Degnen, Madeleine Bartlett, Tony Belpaeme, Serge Thill, Kim Baraka, Francisco S. Melo, Manuela Veloso, David Becerra, Maja Matarić, Eduard Fosch-Villaronga, Jordi Albo-Canals, Gloria Beraldo, Emanuele Menegatti, Valentina De Tommasi, Roberto Mancin, Franca Benini, Zachary Henkel, Kenna Baugus, David C. May, Lucile Dupuy, Wendy A. Rogers, Ronit Feingold Polak, Shelly Levy-Tzedek, Dagoberto Cruz-Sandoval, Jesus Favela, Michelle J. Johnson, Mayumi Mohan, Rochelle Mendonca
http://arxiv.org/abs/1812.07613v1
• [cs.SD]Uniform Convergence Bounds for Codec Selection
Clayton Sanford, Cyrus Cousins, Eli Upfal
http://arxiv.org/abs/1812.07568v1
• [cs.SI]"Woman-Metal-White vs Man-Dress-Shorts": Combining Social, Temporal and Image Signals to Understand Popularity of Pinterest Fashion Boards
Suman Kalyan Maity, Anshit Chaudhari, Animesh Mukherjee
http://arxiv.org/abs/1812.07759v1
• [cs.SI]Computing a Score of Navigability in Large Graphs
Pasquale De Meo, Mark Levene, Fabrizio Messina, Alessandro Provetti
http://arxiv.org/abs/1812.08012v1
• [cs.SI]Endogenous Epistemic Factionalization: A Network Epistemology Approach
James Owen Weatherall, Cailin O'Connor
http://arxiv.org/abs/1812.08131v1
• [cs.SI]Lexical analysis of automated accounts on Twitter
Isa Inuwa-Dutse, Bello Shehu Bello, Ioannis Korkontzelos
http://arxiv.org/abs/1812.07947v1
• [cs.SY]Distributed Algorithms for Internet-of-Things enabled Prosumer Markets: A Control Theoretic Perspective
Syed Eqbal Alam, Robert Shorten, Fabian Wirth, Jia Yuan Yu
http://arxiv.org/abs/1812.07636v1
• [cs.SY]Modelling and Fast Terminal Sliding Mode Control for Mirror-based Pointing Systems
Ansu Man Singh, Manh Duong Phung, Quang Ha
http://arxiv.org/abs/1812.07879v1
• [eess.AS]Pathological Voice Classification Using Mel-Cepstrum Vectors and Support Vector Machine
Maryam Pishgar, Fazle Karim, Somshubra Majumdar, Houshang Darabi
http://arxiv.org/abs/1812.07729v1
• [eess.IV]A Tour of Unsupervised Deep Learning for Medical Image Analysis
Khalid Raza, Nripendra Kumar Singh
http://arxiv.org/abs/1812.07715v1
• [math.OC]A Note on Lazy Training in Supervised Differentiable Programming
Lenaic Chizat, Francis Bach
http://arxiv.org/abs/1812.07956v1
• [math.ST]A Bayesian semiparametric Archimedean copula
Ricardo Hoyos, Luis Nieto-Barajas
http://arxiv.org/abs/1812.07700v1
• [math.ST]A General Theory for Large-Scale Curve Time Series via Functional Stability Measure
Shaojun Guo, Xinghao Qiao
http://arxiv.org/abs/1812.07619v1
• [math.ST]Convergence Rates for the Generalized Fréchet Mean via the Quadruple Inequality
Christof Schötz
http://arxiv.org/abs/1812.08037v1
• [math.ST]Inference For Heterogeneous Effects Using Low-Rank Estimations
Victor Chernozhukov, Christian Hansen, Yuan Liao, Yinchu Zhu
http://arxiv.org/abs/1812.08089v1
• [math.ST]Parametrising correlation matrices
P. J. Forrester, Jiyuan Zhang
http://arxiv.org/abs/1812.07685v1
• [math.ST]Regressions with Fractional d=1/2 and Weakly Nonstationary Processes
James A. Duffy, Ioannis Kasparis
http://arxiv.org/abs/1812.07944v1
• [math.ST]Sharp optimal recovery in the Two Gaussian Mixture Model
Mohamed Ndaoud
http://arxiv.org/abs/1812.08078v1
• [math.ST]Spectral Inference under Complex Temporal Dynamics
Jun Yang, Zhou Zhou
http://arxiv.org/abs/1812.07706v1
• [math.ST]The Mixture of Markov Jump Processes: Monte Carlo Method and the EM Estimation
H. Frydman, B. A. Surya
http://arxiv.org/abs/1812.07730v1
• [physics.chem-ph]Machine Learning for Molecular Dynamics on Long Timescales
Frank Noé
http://arxiv.org/abs/1812.07669v1
• [physics.chem-ph]Molecular Dynamics with Neural-Network Potentials
Michael Gastegger, Philipp Marquetand
http://arxiv.org/abs/1812.07676v1
• [physics.comp-ph]Targeting GPUs with OpenMP Directives on Summit: A Simple and Effective Fortran Experience
Reuben D. Budiardja, Christian Y. Cardall
http://arxiv.org/abs/1812.07977v1
• [q-fin.ST]Zero-Inflated Autoregressive Conditional Duration Model for Discrete Trade Durations with Excessive Zeros
Francisco Blasques, Vladimír Holý, Petra Tomanová
http://arxiv.org/abs/1812.07318v1
• [stat.AP]A robust estimation for the extended t-process regression model
Zhanfeng Wang, Kai Li, Jian Qing Shi
http://arxiv.org/abs/1812.07701v1
• [stat.AP]Bayesian regression with spatio-temporal varying coefficients
Luis E. Nieto-Barajas
http://arxiv.org/abs/1812.07704v1
• [stat.AP]Efficiency in Lung Transplant Allocation Strategies
Jingjing Zou, David Lederer, Daniel Rabinowitz
http://arxiv.org/abs/1812.07691v1
• [stat.AP]On environmental contours for marine and coastal design
Emma Ross, Ole Christian Astrup, Elzbieta Bitner-Gregersen, Nigel Bunn, Graham Feld, Ben Gouldby, Arne Huseby, Ye Liu, David Randell, Erik Vanem, Philip Jonathan
http://arxiv.org/abs/1812.07886v1
• [stat.AP]Pattern Analysis of World Conflicts over the past 600 years
Gianluca Martelloni, Francesca Di Patti, Ugo Bardi
http://arxiv.org/abs/1812.08071v1
• [stat.AP]cgam: An R Package for the Constrained Generalized Additive Model
Xiyue Liao, Mary C. Meyer
http://arxiv.org/abs/1812.07696v1
• [stat.ME]Active learning for efficiently training emulators of computationally expensive mathematical models
Alexandra G. Ellis, Rowan Iskandar, Christopher H. Schmid, John B. Wong, Thomas A. Trikalinos
http://arxiv.org/abs/1812.07673v1
• [stat.ME]Bayesian Restricted Likelihood Methods: Conditioning on Insufficient Statistics in Bayesian Regression
John R. Lewis, Steven N. MacEachern, Yoonkyung Lee
http://arxiv.org/abs/1812.07736v1
• [stat.ME]Comment on "Model Confidence Bounds for Variable Selection" by Yang Li, Yuetian Luo, Davide Ferrari, Xiaonan Hu, and Yichen Qin
Hannes Leeb, Benedikt M. Pötscher, Danijel Kivaranovic
http://arxiv.org/abs/1812.07955v1
• [stat.ME]Covariance-based sample selection for heterogenous data: Applications to gene expression and autism risk gene detection
Kevin Lin, Han Liu, Kathryn Roeder
http://arxiv.org/abs/1812.08147v1
• [stat.ME]Multivariate one-sided testing in matched observational studies as an adversarial game
Peter L. Cohen, Matt A. Olson, Colin B. Fogarty
http://arxiv.org/abs/1812.07728v1
• [stat.ME]The negative binomial beta prime regression model with cure rate
Jeremias Leão, Marcelo Bourguignon, Manoel Santos-Neto, Helton Saulo
http://arxiv.org/abs/1812.07935v1
• [stat.ME]Wasserstein Covariance for Multiple Random Densities
Alexander Petersen, Hans-Georg Müller
http://arxiv.org/abs/1812.07694v1
• [stat.ML]A Novel Variational Autoencoder with Applications to Generative Modelling, Classification, and Ordinal Regression
Joel Jaskari, Jyri J. Kivinen
http://arxiv.org/abs/1812.07352v2
• [stat.ML]An Empirical Study of Generative Models with Encoders
Paul K. Rubenstein, Yunpeng Li, Dominik Roblek
http://arxiv.org/abs/1812.07909v1
• [stat.ML]Fast Exact Computation of Expected HyperVolume Improvement
Guang Zhao, Raymundo Arroyave, Xiaoning Qian
http://arxiv.org/abs/1812.07692v1
• [stat.ML]Matrix Completion under Low-Rank Missing Mechanism
Xiaojun Mao, Raymond K. W. Wong, Song Xi Chen
http://arxiv.org/abs/1812.07813v1
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