cs.AI - 人工智能 cs.CL - 计算与语言 cs.CR - 加密与安全 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DC - 分布式、并行与集群计算 cs.DL - 数字图书馆 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.NE - 神经与进化计算 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 eess.IV - 图像与视频处理 eess.SP - 信号处理 math.CO - 组合数学 math.NA - 数值分析 math.OC - 优化与控制 math.ST - 统计理论 nlin.AO - 适应和自组织系统 physics.comp-ph - 计算物理学 physics.med-ph - 医学物理学 physics.soc-ph - 物理学与社会 q-bio.QM - 定量方法 q-fin.RM - 风险管理 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

    • [cs.AI]Bidding in Spades
    • [cs.AI]Next Priority Concept: A new and generic algorithm computing concepts from complex and heterogeneous data
    • [cs.AI]PILS: Exploring high-order neighborhoods by pattern mining and injection
    • [cs.AI]Stochastic Fairness and Language-Theoretic Fairness in Planning on Nondeterministic Domains
    • [cs.CL]FALCON 2.0: An Entity and Relation Linking framework over Wikidata
    • [cs.CL]Improving Abstractive Text Summarization with History Aggregation
    • [cs.CR]An Analisys of Application Logs with Splunk : developing an App for the synthetic analysis of data and security incidents
    • [cs.CR]Assessing differentially private deep learning with Membership Inference
    • [cs.CR]Integration of Static and Dynamic Analysis for Malware Family Classification with Composite Neural Network
    • [cs.CR]Introducing the Robot Vulnerability Database (RVD)
    • [cs.CR]On the Decentralized Generation of theRSA Moduli in Multi-Party Settings
    • [cs.CV]A Comprehensive Analysis of Weakly-Supervised Semantic Segmentation in Different Image Domains
    • [cs.CV]Adaptive Distraction Context Aware Tracking Based on Correlation Filter
    • [cs.CV]Adversarial AutoAugment
    • [cs.CV]Analyzing ImageNet with Spectral Relevance Analysis: Towards ImageNet un-Hans’ed
    • [cs.CV]Audio-Visual Embodied Navigation
    • [cs.CV]BETANAS: BalancEd TrAining and selective drop for Neural Architecture Search
    • [cs.CV]Cascading Convolutional Color Constancy
    • [cs.CV]Computation Reallocation for Object Detection
    • [cs.CV]Deep Manifold Embedding for Hyperspectral Image Classification
    • [cs.CV]Dense RepPoints: Representing Visual Objects with Dense Point Sets
    • [cs.CV]FHDR: HDR Image Reconstruction from a Single LDR Image using Feedback Network
    • [cs.CV]FisheyeMultiNet: Real-time Multi-task Learning Architecture for Surround-view Automated Parking System
    • [cs.CV]Geometry-aware Generation of Adversarial and Cooperative Point Clouds
    • [cs.CV]Large Scale Learning of General Visual Representations for Transfer
    • [cs.CV]Learning to Navigate Using Mid-Level Visual Priors
    • [cs.CV]Multi-Graph Transformer for Free-Hand Sketch Recognition
    • [cs.CV]Neural Shape Parsers for Constructive Solid Geometry
    • [cs.CV]Ordered or Orderless: A Revisit for Video based Person Re-Identification
    • [cs.CV]Oriented Objects as pairs of Middle Lines
    • [cs.CV]Robust Visual Tracking via Implicit Low-Rank Constraints and Structural Color Histograms
    • [cs.CV]Unsupervised Scene Adaptation with Memory Regularization in vivo
    • [cs.CY]Defining AI in Policy versus Practice
    • [cs.DC]Flat combined Red Black Trees
    • [cs.DC]Performance Tuning and Scaling Enterprise Blockchain Applications
    • [cs.DL]Where Are We? Using Scopus to Map the Literature at the Intersection Between Artificial Intelligence and Crime
    • [cs.IR]RecVAE: a New Variational Autoencoder for Top-N Recommendations with Implicit Feedback
    • [cs.IT]Addressing the curse of mobility in massive MIMO with Prony-based angular-delay domain channel predictions
    • [cs.IT]Bandlimited Communication With One-Bit Quantization and Oversampling: Transceiver Design and Performance Evaluation
    • [cs.IT]Computing the Number of Affine Equivalence Classes of Boolean Functions modulo Functions of Different Degrees
    • [cs.IT]FDD Massive MIMO Uplink and Downlink Channel Reciprocity Properties: Full or Partial Reciprocity?
    • [cs.IT]Opportunistic Wireless Energy Beamforming using RSSI Feedback
    • [cs.IT]Passive Beamforming and Information Transfer Design for Large Intelligent Surface Aided Multiuser MIMO Systems
    • [cs.IT]Reconstruction of Strings from their Substrings Spectrum
    • [cs.IT]Sample-Measurement Tradeoff in Support Recovery under a Subgaussian Prior
    • [cs.LG]A Communication Efficient Vertical Federated Learning Framework
    • [cs.LG]A Distributed Neural Network Architecture for Robust Non-Linear Spatio-Temporal Prediction
    • [cs.LG]An Entropy-based Variable Feature Weighted Fuzzy k-Means Algorithm for High Dimensional Data
    • [cs.LG]Attack-Resistant Federated Learning with Residual-based Reweighting
    • [cs.LG]Attention-Aware Answers of the Crowd
    • [cs.LG]Broad Learning System Based on Maximum Correntropy Criterion
    • [cs.LG]Characterizing the Decision Boundary of Deep Neural Networks
    • [cs.LG]Customers Churn Prediction in Financial Institution Using Artificial Neural Network
    • [cs.LG]Data-driven Discovery of Emergent Behaviors in Collective Dynamics
    • [cs.LG]Discrete and Continuous Action Representation for Practical RL in Video Games
    • [cs.LG]EnsemFDet: An Ensemble Approach to Fraud Detection based on Bipartite Graph
    • [cs.LG]High Utility Interval-Based Sequences
    • [cs.LG]Learning to Combat Compounding-Error in Model-Based Reinforcement Learning
    • [cs.LG]Meta-Learning PAC-Bayes Priors in Model Averaging
    • [cs.LG]Mining User Behaviour from Smartphone data, a literature review
    • [cs.LG]On Sharing Models Instead of Data using Mimic learning for Smart Health Applications
    • [cs.LG]On Simulation and Trajectory Prediction with Gaussian Process Dynamics
    • [cs.LG]Online Algorithms for Multiclass Classification using Partial Labels
    • [cs.LG]Quadruply Stochastic Gradient Method for Large Scale Nonlinear Semi-Supervised Ordinal Regression AUC Optimization
    • [cs.LG]Safe Sample Screening for Robust Support Vector Machine
    • [cs.LG]TRADI: Tracking deep neural network weight distributions
    • [cs.LG]Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport
    • [cs.LG]Variational Recurrent Models for Solving Partially Observable Control Tasks
    • [cs.LG]a simple and effective framework for pairwise deep metric learning
    • [cs.LG]mRMR-DNN with Transfer Learning for IntelligentFault Diagnosis of Rotating Machines
    • [cs.NE]An uncertainty principle for neural coding: Conjugate representations of position and velocity are mapped onto firing rates and co-firing rates of neural spike trains
    • [cs.NE]Fast and deep neuromorphic learning with time-to-first-spike coding
    • [cs.NE]Multifactorial Evolutionary Algorithm For Clustered Minimum Routing Cost Problem
    • [cs.NE]Towards Multicellular Biological Deep Neural Nets Based on Transcriptional Regulation
    • [cs.NI]A Replication Strategy for Mobile Opportunistic Networks based on Utility Clustering
    • [cs.NI]Hierarchical Soft Slicing to Meet Multi-Dimensional QoS Demand in Cache-Enabled Vehicular Networks
    • [cs.RO]Shared Autonomy in Web-based Human Robot Interaction
    • [cs.SD]Audio-based automatic mating success prediction of giant pandas
    • [cs.SE]ADD-Lib: Decision Diagrams in Practice
    • [cs.SI]Algorithmic Extremism: Examining YouTube’s Rabbit Hole of Radicalization
    • [cs.SI]Detection of Community Structures in Networks with Nodal Features based on Generative Probabilistic Approach
    • [cs.SI]From Welcome New Gabbers to the Pittsburgh Synagogue Shooting: The Evolution of Gab
    • [eess.AS]end-to-end training of a large vocabulary end-to-end speech recognition system
    • [eess.AS]power-law nonlinearity with maximally uniform distribution criterion for improved neural network training in automatic speech recognition
    • [eess.IV]Atmospheric turbulence removal using convolutional neural network
    • [eess.IV]Robustness of Brain Tumor Segmentation
    • [eess.SP]Comparison of the P300 detection accuracy related to the BCI speller and image recognition scenarios
    • [math.CO]Graph fractal dimension and structure of fractal networks: a combinatorial perspective
    • [math.NA]Robust Group Synchronization via Cycle-Edge Message Passing
    • [math.OC]Deep learning architectures for nonlinear operator functions and nonlinear inverse problems
    • [math.ST]Algorithms for Heavy-Tailed Statistics: Regression, Covariance Estimation, and Beyond
    • [math.ST]Kernel Embedding Linear Response
    • [math.ST]Risk of estimators for Sobol sensitivity indices based on metamodels
    • [math.ST]Universal Inference Using the Split Likelihood Ratio Test
    • [nlin.AO]Optimal short-term memory before the edge of chaos in driven random recurrent networks
    • [physics.comp-ph]Multi-level Convolutional Autoencoder Networks for Parametric Prediction of Spatio-temporal Dynamics
    • [physics.med-ph]CBCT-to-CT synthesis with a single neural network for head-and-neck, lung and breast cancer adaptive radiotherapy
    • [physics.soc-ph]Containing rumors spreading on correlated multiplex networks
    • [physics.soc-ph]Modeling temporal networks with bursty activity patterns of nodes and links
    • [q-bio.QM]TF3P: Three-dimensional Force Fields Fingerprint Learned by Deep Capsular Network
    • [q-fin.RM]Online Quantification of Input Model Uncertainty by Two-Layer Importance Sampling
    • [stat.AP]Aggregating predictions from experts: a scoping review of statistical methods, experiments, and applications
    • [stat.CO]MM for Penalized Estimation
    • [stat.ME]A Symmetric Prior for Multinomial Probit Models
    • [stat.ME]Bayesian Aggregation
    • [stat.ME]Power Comparisons in 2x2 Contingency Tables: Odds Ratio versus Pearson Correlation versus Canonical Correlation
    • [stat.ML]An error bound for Lasso and Group Lasso in high dimensions
    • [stat.ML]Cronus: Robust and Heterogeneous Collaborative Learning with Black-Box Knowledge Transfer

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

    • [cs.AI]Bidding in Spades
    Gal Cohensius, Reshef Meir, Roni Stern, Nadav Oved
    http://arxiv.org/abs/1912.11323v1

    • [cs.AI]Next Priority Concept: A new and generic algorithm computing concepts from complex and heterogeneous data
    Christophe Demko, Karell Bertet, Cyril Faucher, Jean-François Viaud, Sergeï Kuznetsov
    http://arxiv.org/abs/1912.11038v1

    • [cs.AI]PILS: Exploring high-order neighborhoods by pattern mining and injection
    Florian Arnold, Ítalo Santana, Kenneth Sörensen, Thibaut Vidal
    http://arxiv.org/abs/1912.11462v1

    • [cs.AI]Stochastic Fairness and Language-Theoretic Fairness in Planning on Nondeterministic Domains
    Benjamin Aminof, Giuseppe De Giacomo, Sasha Rubin
    http://arxiv.org/abs/1912.11203v1

    • [cs.CL]FALCON 2.0: An Entity and Relation Linking framework over Wikidata
    Ahmad Sakor, Kuldeep Singh, Anery Patel, Maria-Esther Vidal
    http://arxiv.org/abs/1912.11270v1

    • [cs.CL]Improving Abstractive Text Summarization with History Aggregation
    Pengcheng Liao, Chuang Zhang, Xiaojun Chen, Xiaofei Zhou
    http://arxiv.org/abs/1912.11046v1

    • [cs.CR]An Analisys of Application Logs with Splunk : developing an App for the synthetic analysis of data and security incidents
    Roberto Bruzzese
    http://arxiv.org/abs/1912.11283v1

    • [cs.CR]Assessing differentially private deep learning with Membership Inference
    Daniel Bernau, Philip-William Grassal, Jonas Robl, Florian Kerschbaum
    http://arxiv.org/abs/1912.11328v1

    • [cs.CR]Integration of Static and Dynamic Analysis for Malware Family Classification with Composite Neural Network
    Yao Saint Yen, Zhe Wei Chen, Ying Ren Guo, Meng Chang Chen
    http://arxiv.org/abs/1912.11249v1

    • [cs.CR]Introducing the Robot Vulnerability Database (RVD)
    Víctor Mayoral Vilches, Lander Usategui San Juan, Bernhard Dieber, Unai Ayucar Carbajo, Endika Gil-Uriarte
    http://arxiv.org/abs/1912.11299v1

    • [cs.CR]On the Decentralized Generation of theRSA Moduli in Multi-Party Settings
    Vidal Attias, Luigi Vigneri, Vassil Dimitrov
    http://arxiv.org/abs/1912.11401v1

    • [cs.CV]A Comprehensive Analysis of Weakly-Supervised Semantic Segmentation in Different Image Domains
    Lyndon Chan, Mahdi S. Hosseini, Konstantinos N. Plataniotis
    http://arxiv.org/abs/1912.11186v1

    • [cs.CV]Adaptive Distraction Context Aware Tracking Based on Correlation Filter
    Fei Feng, Xiao-Jun Wu, Tianyang Xu, Josef Kittler, Xue-Feng Zhu
    http://arxiv.org/abs/1912.11325v1

    • [cs.CV]Adversarial AutoAugment
    Xinyu Zhang, Qiang Wang, Jian Zhang, Zhao Zhong
    http://arxiv.org/abs/1912.11188v1

    • [cs.CV]Analyzing ImageNet with Spectral Relevance Analysis: Towards ImageNet un-Hans’ed
    Christopher J. Anders, Talmaj Marinč, David Neumann, Wojciech Samek, Klaus-Robert Müller, Sebastian Lapuschkin
    http://arxiv.org/abs/1912.11425v1

    • [cs.CV]Audio-Visual Embodied Navigation
    Changan Chen, Unnat Jain, Carl Schissler, Sebastia Vicenc Amengual Gari, Ziad Al-Halah, Vamsi Krishna Ithapu, Philip Robinson, Kristen Grauman
    http://arxiv.org/abs/1912.11474v1

    • [cs.CV]BETANAS: BalancEd TrAining and selective drop for Neural Architecture Search
    Muyuan Fang, Qiang Wang, Zhao Zhong
    http://arxiv.org/abs/1912.11191v1

    • [cs.CV]Cascading Convolutional Color Constancy
    Huanglin Yu, Ke Chen, Kaiqi Wang, Yanlin Qian, Zhaoxiang Zhang, Kui Jia
    http://arxiv.org/abs/1912.11180v1

    • [cs.CV]Computation Reallocation for Object Detection
    Feng Liang, Chen Lin, Ronghao Guo, Ming Sun, Wei Wu, Junjie Yan, Wanli Ouyang
    http://arxiv.org/abs/1912.11234v1

    • [cs.CV]Deep Manifold Embedding for Hyperspectral Image Classification
    Zhiqiang Gong, Weidong Hu, Xiaoyong Du, Ping Zhong, Panhe Hu
    http://arxiv.org/abs/1912.11264v1

    • [cs.CV]Dense RepPoints: Representing Visual Objects with Dense Point Sets
    Ze Yang, Yinghao Xu, Han Xue, Zheng Zhang, Raquel Urtasun, Liwei Wang, Stephen Lin, Han Hu
    http://arxiv.org/abs/1912.11473v1

    • [cs.CV]FHDR: HDR Image Reconstruction from a Single LDR Image using Feedback Network
    Zeeshan Khan, Mukul Khanna, Shanmuganathan Raman
    http://arxiv.org/abs/1912.11463v1

    • [cs.CV]FisheyeMultiNet: Real-time Multi-task Learning Architecture for Surround-view Automated Parking System
    Pullarao Maddu, Wayne Doherty, Ganesh Sistu, Isabelle Leang, Michal Uricar, Sumanth Chennupati, Hazem Rashed, Jonathan Horgan, Ciaran Hughes, Senthil Yogamani
    http://arxiv.org/abs/1912.11066v1

    • [cs.CV]Geometry-aware Generation of Adversarial and Cooperative Point Clouds
    Yuxin Wen, Jiehong Lin, Ke Chen, Kui Jia
    http://arxiv.org/abs/1912.11171v1

    • [cs.CV]Large Scale Learning of General Visual Representations for Transfer
    Alexander Kolesnikov, Lucas Beyer, Xiaohua Zhai, Joan Puigcerver, Jessica Yung, Sylvain Gelly, Neil Houlsby
    http://arxiv.org/abs/1912.11370v1

    • [cs.CV]Learning to Navigate Using Mid-Level Visual Priors
    Alexander Sax, Jeffrey O. Zhang, Bradley Emi, Amir Zamir, Silvio Savarese, Leonidas Guibas, Jitendra Malik
    http://arxiv.org/abs/1912.11121v1

    • [cs.CV]Multi-Graph Transformer for Free-Hand Sketch Recognition
    Peng Xu, Chaitanya K. Joshi, Xavier Bresson
    http://arxiv.org/abs/1912.11258v1

    • [cs.CV]Neural Shape Parsers for Constructive Solid Geometry
    Gopal Sharma, Rishabh Goyal, Difan Liu, Evangelos Kalogerakis, Subhransu Maji
    http://arxiv.org/abs/1912.11393v1

    • [cs.CV]Ordered or Orderless: A Revisit for Video based Person Re-Identification
    Le Zhang, Zenglin Shi, Joey Tianyi Zhou, Ming-Ming Cheng, Yun Liu, Jia-Wang Bian, Zeng Zeng, Chunhua Shen
    http://arxiv.org/abs/1912.11236v1

    • [cs.CV]Oriented Objects as pairs of Middle Lines
    Haoran Wei, Lin Zhou, Yue Zhang, Hao Li, Rongxin Guo, Hongqi Wang
    http://arxiv.org/abs/1912.10694v2

    • [cs.CV]Robust Visual Tracking via Implicit Low-Rank Constraints and Structural Color Histograms
    Yi-Xuan Wang, Xiao-Jun Wu, Xue-Feng Zhu
    http://arxiv.org/abs/1912.11343v1

    • [cs.CV]Unsupervised Scene Adaptation with Memory Regularization in vivo
    Zhedong Zheng, Yi Yang
    http://arxiv.org/abs/1912.11164v1

    • [cs.CY]Defining AI in Policy versus Practice
    P. M. Krafft, Meg Young, Michael Katell, Karen Huang, Ghislain Bugingo
    http://arxiv.org/abs/1912.11095v1

    • [cs.DC]Flat combined Red Black Trees
    Sergio Sainz-Palacios
    http://arxiv.org/abs/1912.11417v1

    • [cs.DC]Performance Tuning and Scaling Enterprise Blockchain Applications
    Grant Chung, Luc Desrosiers, Manav Gupta, Andrew Sutton, Kaushik Venkatadri, Ontak Wong, Goran Zugic
    http://arxiv.org/abs/1912.11456v1

    • [cs.DL]Where Are We? Using Scopus to Map the Literature at the Intersection Between Artificial Intelligence and Crime
    Gian Maria Campedelli
    http://arxiv.org/abs/1912.11084v1

    • [cs.IR]RecVAE: a New Variational Autoencoder for Top-N Recommendations with Implicit Feedback
    Ilya Shenbin, Anton Alekseev, Elena Tutubalina, Valentin Malykh, Sergey I. Nikolenko
    http://arxiv.org/abs/1912.11160v1

    • [cs.IT]Addressing the curse of mobility in massive MIMO with Prony-based angular-delay domain channel predictions
    Haifan Yin, Haiquan Wang, Yingzhuang Liu, David Gesbert
    http://arxiv.org/abs/1912.11330v1

    • [cs.IT]Bandlimited Communication With One-Bit Quantization and Oversampling: Transceiver Design and Performance Evaluation
    Rui Deng, Jing Zhou, Wenyi Zhang
    http://arxiv.org/abs/1912.11232v1

    • [cs.IT]Computing the Number of Affine Equivalence Classes of Boolean Functions modulo Functions of Different Degrees
    Xiao Zeng, Guowu Yang
    http://arxiv.org/abs/1912.11189v1

    • [cs.IT]FDD Massive MIMO Uplink and Downlink Channel Reciprocity Properties: Full or Partial Reciprocity?
    Zhimeng Zhong, Li Fan, Shibin Ge
    http://arxiv.org/abs/1912.11221v1

    • [cs.IT]Opportunistic Wireless Energy Beamforming using RSSI Feedback
    Samith Abeywickrama
    http://arxiv.org/abs/1912.11392v1

    • [cs.IT]Passive Beamforming and Information Transfer Design for Large Intelligent Surface Aided Multiuser MIMO Systems
    Wenjing Yan, Xiaojun~Yuan, Zhen-Qing He, Xiaoyan Kuai
    http://arxiv.org/abs/1912.10209v1

    • [cs.IT]Reconstruction of Strings from their Substrings Spectrum
    Sagi Marcovich, Eitan Yaakobi
    http://arxiv.org/abs/1912.11108v1

    • [cs.IT]Sample-Measurement Tradeoff in Support Recovery under a Subgaussian Prior
    Lekshmi Ramesh, Chandra R Murthy, Himanshu Tyagi
    http://arxiv.org/abs/1912.11247v1

    • [cs.LG]A Communication Efficient Vertical Federated Learning Framework
    Yang Liu, Yan Kang, Xinwei Zhang, Liping Li, Yong Cheng, Tianjian Chen, Mingyi Hong, Qiang Yang
    http://arxiv.org/abs/1912.11187v1

    • [cs.LG]A Distributed Neural Network Architecture for Robust Non-Linear Spatio-Temporal Prediction
    Matthias Karlbauer, Sebastian Otte, Hendrik P. A. Lensch, Thomas Scholten, Volker Wulfmeyer, Martin V. Butz
    http://arxiv.org/abs/1912.11141v1

    • [cs.LG]An Entropy-based Variable Feature Weighted Fuzzy k-Means Algorithm for High Dimensional Data
    Vikas Singh, Nishchal K. Verma
    http://arxiv.org/abs/1912.11209v1

    • [cs.LG]Attack-Resistant Federated Learning with Residual-based Reweighting
    Shuhao Fu, Chulin Xie, Bo Li, Qifeng Chen
    http://arxiv.org/abs/1912.11464v1

    • [cs.LG]Attention-Aware Answers of the Crowd
    Jingzheng Tu, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang
    http://arxiv.org/abs/1912.11238v1

    • [cs.LG]Broad Learning System Based on Maximum Correntropy Criterion
    Yunfei Zheng, Badong Chen, Senior Member, IEEE, Shiyuan Wang, Senior Member, IEEE, Weiqun Wang, Member, IEEE
    http://arxiv.org/abs/1912.11368v1

    • [cs.LG]Characterizing the Decision Boundary of Deep Neural Networks
    Hamid Karimi, Tyler Derr, Jiliang Tang
    http://arxiv.org/abs/1912.11460v1

    • [cs.LG]Customers Churn Prediction in Financial Institution Using Artificial Neural Network
    Kamorudeen A. Amuda, Adesesan B. Adeyemo
    http://arxiv.org/abs/1912.11346v1

    • [cs.LG]Data-driven Discovery of Emergent Behaviors in Collective Dynamics
    Mauro Maggioni, Jason Miller, Ming Zhong
    http://arxiv.org/abs/1912.11123v1

    • [cs.LG]Discrete and Continuous Action Representation for Practical RL in Video Games
    Olivier Delalleau, Maxim Peter, Eloi Alonso, Adrien Logut
    http://arxiv.org/abs/1912.11077v1

    • [cs.LG]EnsemFDet: An Ensemble Approach to Fraud Detection based on Bipartite Graph
    Yuxiang Ren, Hao Zhu, Jiawei ZHang, Peng Dai, Liefeng Bo
    http://arxiv.org/abs/1912.11113v1

    • [cs.LG]High Utility Interval-Based Sequences
    S. Mohammad Mirbagheri, Howard J. Hamilton
    http://arxiv.org/abs/1912.11165v1

    • [cs.LG]Learning to Combat Compounding-Error in Model-Based Reinforcement Learning
    Chenjun Xiao, Yifan Wu, Chen Ma, Dale Schuurmans, Martin Müller
    http://arxiv.org/abs/1912.11206v1

    • [cs.LG]Meta-Learning PAC-Bayes Priors in Model Averaging
    Huang Yimin, Huang Weiran, Li Liang, Li Zhenguo
    http://arxiv.org/abs/1912.11252v1

    • [cs.LG]Mining User Behaviour from Smartphone data, a literature review
    Valentino Servizi, Francisco C. Pereira, Marie K. Anderson, Otto A. Nielsen
    http://arxiv.org/abs/1912.11259v1

    • [cs.LG]On Sharing Models Instead of Data using Mimic learning for Smart Health Applications
    Mohamed Baza, Andrew Salazar, Mohamed Mahmoud, Mohamed Abdallah, Kemal Akkaya
    http://arxiv.org/abs/1912.11210v1

    • [cs.LG]On Simulation and Trajectory Prediction with Gaussian Process Dynamics
    Lukas Hewing, Elena Arcari, Lukas P. Fröhlich, Melanie N. Zeilinger
    http://arxiv.org/abs/1912.10900v2

    • [cs.LG]Online Algorithms for Multiclass Classification using Partial Labels
    Rajarshi Bhattacharjee, Naresh Manwani
    http://arxiv.org/abs/1912.11367v1

    • [cs.LG]Quadruply Stochastic Gradient Method for Large Scale Nonlinear Semi-Supervised Ordinal Regression AUC Optimization
    Wanli Shi, Bin Gu, Xinag Li, Heng Huang
    http://arxiv.org/abs/1912.11193v1

    • [cs.LG]Safe Sample Screening for Robust Support Vector Machine
    Zhou Zhai, Bin Gu, Xiang Li, Heng Huang
    http://arxiv.org/abs/1912.11217v1

    • [cs.LG]TRADI: Tracking deep neural network weight distributions
    Gianni Franchi, Andrei Bursuc, Emanuel Aldea, Severine Dubuisson, Isabelle Bloch
    http://arxiv.org/abs/1912.11316v1

    • [cs.LG]Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport
    Tengfei Ma, Jie Chen
    http://arxiv.org/abs/1912.11176v1

    • [cs.LG]Variational Recurrent Models for Solving Partially Observable Control Tasks
    Dongqi Han, Kenji Doya, Jun Tani
    http://arxiv.org/abs/1912.10703v2

    • [cs.LG]a simple and effective framework for pairwise deep metric learning
    Qi Qi, Yan Yan, Zixuan Wu, Xiaoyu Wang, Tianbao Yang
    http://arxiv.org/abs/1912.11194v1

    • [cs.LG]mRMR-DNN with Transfer Learning for IntelligentFault Diagnosis of Rotating Machines
    Vikas Singh, Nishchal K. Verma
    http://arxiv.org/abs/1912.11235v1

    • [cs.NE]An uncertainty principle for neural coding: Conjugate representations of position and velocity are mapped onto firing rates and co-firing rates of neural spike trains
    Ryan Grgurich, Hugh T. Blair
    http://arxiv.org/abs/1912.11126v1

    • [cs.NE]Fast and deep neuromorphic learning with time-to-first-spike coding
    Julian Göltz, Andreas Baumbach, Sebastian Billaudelle, Oliver Breitwieser, Dominik Dold, Laura Kriener, Akos Ferenc Kungl, Walter Senn, Johannes Schemmel, Karlheinz Meier, Mihai Alexandru Petrovici
    http://arxiv.org/abs/1912.11443v1

    • [cs.NE]Multifactorial Evolutionary Algorithm For Clustered Minimum Routing Cost Problem
    Tran Ba Trung, Huynh Thi Thanh Binh, Le Tien Thanh, Ly Trung Hieu, Pham Dinh Thanh
    http://arxiv.org/abs/1912.109
    4000
    86v1
    4000
    86v1)

    • [cs.NE]Towards Multicellular Biological Deep Neural Nets Based on Transcriptional Regulation
    Sihao Huang
    http://arxiv.org/abs/1912.11423v1

    • [cs.NI]A Replication Strategy for Mobile Opportunistic Networks based on Utility Clustering
    Evangelos Papapetrou, Aristidis Likas
    http://arxiv.org/abs/1912.11146v1

    • [cs.NI]Hierarchical Soft Slicing to Meet Multi-Dimensional QoS Demand in Cache-Enabled Vehicular Networks
    Shan Zhang, Hongbin Luo, Junling Li, Weisen Shi, Xuemin Shen
    http://arxiv.org/abs/1912.11272v1

    • [cs.RO]Shared Autonomy in Web-based Human Robot Interaction
    Yug Ajmera
    http://arxiv.org/abs/1912.10274v2

    • [cs.SD]Audio-based automatic mating success prediction of giant pandas
    WeiRan Yan, MaoLin Tang, Qijun Zhao, Peng Chen, Dunwu Qi, Rong Hou, Zhihe Zhang
    http://arxiv.org/abs/1912.11333v1

    • [cs.SE]ADD-Lib: Decision Diagrams in Practice
    Frederik Gossen, Alnis Murtovi, Philip Zweihoff, Bernhard Steffen
    http://arxiv.org/abs/1912.11308v1

    • [cs.SI]Algorithmic Extremism: Examining YouTube’s Rabbit Hole of Radicalization
    Mark Ledwich, Anna Zaitsev
    http://arxiv.org/abs/1912.11211v1

    • [cs.SI]Detection of Community Structures in Networks with Nodal Features based on Generative Probabilistic Approach
    Hadi Zare, Mahdi Hajiabadi, Mahdi Jalili
    http://arxiv.org/abs/1912.11420v1

    • [cs.SI]From Welcome New Gabbers to the Pittsburgh Synagogue Shooting: The Evolution of Gab
    Reid McIlroy-Young, Ashton Anderson
    http://arxiv.org/abs/1912.11278v1

    • [eess.AS]end-to-end training of a large vocabulary end-to-end speech recognition system
    Chanwoo Kim, Sungsoo Kim, Kwangyoun Kim, Mehul Kumar, Jiyeon Kim, Kyungmin Lee, Changwoo Han, Abhinav Garg, Eunhyang Kim, Minkyoo Shin, Shatrughan Singh, Larry Heck, Dhananjaya Gowda
    http://arxiv.org/abs/1912.11040v1

    • [eess.AS]power-law nonlinearity with maximally uniform distribution criterion for improved neural network training in automatic speech recognition
    Chanwoo Kim, Mehul Kumar, Kwangyoun Kim, Dhananjaya Gowda
    http://arxiv.org/abs/1912.11041v1

    • [eess.IV]Atmospheric turbulence removal using convolutional neural network
    Jing Gao, N. Anantrasirichai, David Bull
    http://arxiv.org/abs/1912.11350v1

    • [eess.IV]Robustness of Brain Tumor Segmentation
    Sabine Müller, Joachim Weickert, Norbert Graf
    http://arxiv.org/abs/1912.11312v1

    • [eess.SP]Comparison of the P300 detection accuracy related to the BCI speller and image recognition scenarios
    S. A. Karimi, A. M. Mijani, M. T. Talebian, S. Mirzakuchaki
    http://arxiv.org/abs/1912.11371v1

    • [math.CO]Graph fractal dimension and structure of fractal networks: a combinatorial perspective
    Pavel Skums, Leonid Bunimovich
    http://arxiv.org/abs/1912.11385v1

    • [math.NA]Robust Group Synchronization via Cycle-Edge Message Passing
    Gilad Lerman, Yunpeng Shi
    http://arxiv.org/abs/1912.11347v1

    • [math.OC]Deep learning architectures for nonlinear operator functions and nonlinear inverse problems
    Maarten V. de Hoop, Matti Lassas, Christopher A. Wong
    http://arxiv.org/abs/1912.11090v1

    • [math.ST]Algorithms for Heavy-Tailed Statistics: Regression, Covariance Estimation, and Beyond
    Yeshwanth Cherapanamjeri, Samuel B. Hopkins, Tarun Kathuria, Prasad Raghavendra, Nilesh Tripuraneni
    http://arxiv.org/abs/1912.11071v1

    • [math.ST]Kernel Embedding Linear Response
    He Zhang, John Harlim, Xiantao Li
    http://arxiv.org/abs/1912.11110v1

    • [math.ST]Risk of estimators for Sobol sensitivity indices based on metamodels
    Ivan Panin
    http://arxiv.org/abs/1912.11070v1

    • [math.ST]Universal Inference Using the Split Likelihood Ratio Test
    Larry Wasserman, Aaditya Ramdas, Sivaraman Balakrishnan
    http://arxiv.org/abs/1912.11436v1

    • [nlin.AO]Optimal short-term memory before the edge of chaos in driven random recurrent networks
    Taichi Haruna, Kohei Nakajima
    http://arxiv.org/abs/1912.11213v1

    • [physics.comp-ph]Multi-level Convolutional Autoencoder Networks for Parametric Prediction of Spatio-temporal Dynamics
    Jiayang Xu, Karthik Duraisamy
    http://arxiv.org/abs/1912.11114v1

    • [physics.med-ph]CBCT-to-CT synthesis with a single neural network for head-and-neck, lung and breast cancer adaptive radiotherapy
    Matteo Maspero, Mark HF Savenije, Tristan CF van Heijst, Joost JC Verhoeff, Alexis NTJ Kotte, Anette C Houweling, Cornelis AT van den Berg
    http://arxiv.org/abs/1912.11136v1

    • [physics.soc-ph]Containing rumors spreading on correlated multiplex networks
    Jiajun Xian, Dan Yang, Liming Pan, Ming Liu, Wei Wang
    http://arxiv.org/abs/1912.11196v1

    • [physics.soc-ph]Modeling temporal networks with bursty activity patterns of nodes and links
    Takayuki Hiraoka, Naoki Masuda, Aming Li, Hang-Hyun Jo
    http://arxiv.org/abs/1912.11212v1

    • [q-bio.QM]TF3P: Three-dimensional Force Fields Fingerprint Learned by Deep Capsular Network
    Yanxing Wang, Jianxing Hu, Junyong Lai, Yibo Li, Hongwei Jin, Lihe Zhang, Liangren Zhang, Zhenming Liu
    http://arxiv.org/abs/1912.11430v1

    • [q-fin.RM]Online Quantification of Input Model Uncertainty by Two-Layer Importance Sampling
    Tianyi Liu, Enlu Zhou
    http://arxiv.org/abs/1912.11172v1

    • [stat.AP]Aggregating predictions from experts: a scoping review of statistical methods, experiments, and applications
    Thomas McAndrew, Nutcha Wattanachit, G. Casey Gibson, Nicholas G. Reich
    http://arxiv.org/abs/1912.11409v1

    • [stat.CO]MM for Penalized Estimation
    Zhu Wang
    http://arxiv.org/abs/1912.11119v1

    • [stat.ME]A Symmetric Prior for Multinomial Probit Models
    Lane F. Burgette, David Puelz, P. Richard Hahn
    http://arxiv.org/abs/1912.10334v2

    • [stat.ME]Bayesian Aggregation
    Yuling Yao
    http://arxiv.org/abs/1912.11218v1

    • [stat.ME]Power Comparisons in 2x2 Contingency Tables: Odds Ratio versus Pearson Correlation versus Canonical Correlation
    Mohammad Alfrad Nobel Bhuiyan, Michael J Wathen, M Bhaskara Rao
    http://arxiv.org/abs/1912.11466v1

    • [stat.ML]An error bound for Lasso and Group Lasso in high dimensions
    Antoine Dedieu
    http://arxiv.org/abs/1912.11398v1

    • [stat.ML]Cronus: Robust and Heterogeneous Collaborative Learning with Black-Box Knowledge Transfer
    Hongyan Chang, Virat Shejwalkar, Reza Shokri, Amir Houmansadr
    http://arxiv.org/abs/1912.11279v1