多任务学习相关资料、经典论文、开源代码整理分享

本文整理了多任务学习领域相关资料，包括代表性学者主页、论文、综述、最新文集和开源代码等等。

资源整理自网络，源地址：https://github.com/mbs0221/Multitask-Learning

带链接版资源下载地址：

链接: https://pan.baidu.com/s/1QfS3Vdcw1CZ-kzhx8ohp1Q

提取码: n4ug

学者主页

oMassimiliano Pontil - UCL

oYu Zhang (张宇) - HKUST

oTong Zhang (张潼)- Tencent AI Lab

oFuzhen Zhuang (庄福振)

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代码

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

经典论文

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论文

oA Survey on Multi-Task Learning

oSelf-Paced Multi-Task Clustering

oModel-Protected Multi-Task Learning

开源资源

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学习

•KEEL-dataset repository

凸优化

•EE364a: Convex Optimization I Professor Stephen Boyd, Stanford University

•EE227BT: Convex Optimization  —  Fall 2013

•CRAN - Package ADMM

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