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