本文整理了多任務學習領域相關資料，包括代表性學者主頁、論文、綜述、最新文集和開源代碼等等。
資源整理自網絡，源地址：https://github.com/mbs0221/Multitask-Learning
帶鏈接版資源下載地址：
鏈接: https://pan.baidu.com/s/1QfS3Vdcw1CZ-kzhx8ohp1Q
提取碼: n4ug
學者主頁
oMassimiliano Pontil - UCL
oYu Zhang (張宇) - HKUST
oTong Zhang (張潼)- Tencent AI Lab
oFuzhen Zhuang (莊福振)
oLei Han's Homepage
oPattern Recognition & Neural Computing Group - NUAA
oFei Sha University of Southern California
oDr Xiaojun Chang – Faculty of Information Technology – Monash University
oYu-Gang Jiang Prof.
oZhuoliang Kang Ph.D student, Computer Science, USC
oShiliang Sun’s Home Page
oDr. Timothy Hospedales
oML^2 @ UCF
oElisa Ricci
oGjorgji Strezoski
oMachine Learning with Interdependent and Non-identically Distributed Data
oSFU Machine Learning Reading Group
Github代碼
oLogistic Regression
Multi-task logistic regression in brain-computer interfaces
oBayesian Methods
Kernelized Bayesian Multitask Learning
Parametric Bayesian multi-task learning for modeling biomarker trajectories
Bayesian Multitask Multiple Kernel Learning
oGaussian Process
Multi-task Gaussian process (MTGP)
Gaussian process multi-task learning
oSparse & Low Rank Methods
Asymmetric Multi-Task Learning
Hierarchical_Multi_Task_Learning
Asynchronous Multi-Task Learning
HMTL: Hierarchical Multi-Task Learning
Multi-task feature learning
Multiplicative MultiTask Feature Learning (MMTFL)
Learning Incoherent Sparse and Low-Rank Patterns from Multiple Tasks
Variable Selection and Task Grouping for Multi-Task Learning (VSTG-MTL)
Calibrated Multi-Task Learning Based on Non-convex Low Rank
Multi-task_Survival_Analysis
A Multi-Task Learning Formulation for Survival Analysis
oFederated Multi-Task Learning
oOnline Learning
Online Multi-Task Learning Toolkit (OMT) v1.0
oReinforcement Learning
Robust-Multitask-Reinforcement Learning
oPackage & Toolbox
MALSAR: Multi-task learning via Structural Regularization
MALSAR package Version 1.1
Multi Task Learning Package for Matlab
Package to apply MTL on a few dataset
Matlab MultiClass MultiTask Learning (MCMTL) toolbox
Personalized Multitask Learning
經典論文
oMultitask Learning
oAn overview of multi-task learning
oA brief review on multi-task learning
oMulti-task feature learning by using trace norm regularization
oMulti-Task Clustering with Model Relation Learning
oOnline Multitask Learning
oOnline multitask relative similarity learning
oNew Directions in Transfer and Multi-Task: Learning Across Domains and Tasks
Arxiv論文
oA Survey on Multi-Task Learning
oSelf-Paced Multi-Task Clustering
oModel-Protected Multi-Task Learning
開源資源
oTask Sensitive Feature Exploration and Learning for Multi-Task Graph Classification
oBMTMKL: Bayesian Multitask Multiple Kernel Learning
oMultitask Learning / Domain Adaptation
oMultitask Kernel Methods
oMultitask Deep Learning
工具包
oMulti-Task Learning: Theory, Algorithms, and Applications
oAn Tutorial for Regularized Multi-task Learning using the package RMTL
oSparseMTL Toolbox
oProbabilistic Machine Learning
Multilabel學習
•KEEL-dataset repository
凸優化
•EE364a: Convex Optimization I Professor Stephen Boyd, Stanford University
•EE227BT: Convex Optimization — Fall 2013
•CRAN - Package ADMM
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