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Massimiliano Pontil - UCLhttp://www0.cs.ucl.ac.uk/staff/M.Pontil/pubs.html
Yu Zhang (张宇) - HKUSThttps://www.cse.ust.hk/~yuzhangcse/
Tong Zhang (张潼)- Tencent AI Labhttp://tongzhang-ml.org/publication.html
Fuzhen Zhuang (庄福振)http://www.intsci.ac.cn/users/zhuangfuzhen/#Resources
Lei Han's Homepagehttp://sysbio.cvm.msstate.edu/~leihan/
Pattern Recognition & Neural Computing Group - NUAAhttp://parnec.nuaa.edu.cn/
Fei Sha University of Southern Californiahttp://www-bcf.usc.edu/~feisha/index.html
Dr Xiaojun Chang – Faculty of Information Technology – Monash Universityhttp://www.cs.cmu.edu/~uqxchan1/index.html
Yu-Gang Jiang Prof.http://www.yugangjiang.info/
Zhuoliang Kang Ph.D student, Computer Science, USChttp://zhuoliang.me/research.html
Shiliang Sun’s Home Pagehttp://www.cs.ecnu.edu.cn/~slsun/
Dr. Timothy Hospedaleshttp://www.eecs.qmul.ac.uk/~tmh/index.html#home
ML^2 @ UCFhttp://ml.cecs.ucf.edu/node/52
Elisa Riccihttps://sites.google.com/site/elisaricciunipg/home
Gjorgji Strezoskihttps://staff.fnwi.uva.nl/g.strezoski/
Machine Learning with Interdependent and Non-identically Distributed Datahttps://www.dagstuhl.de/en/program/calendar/semhp/?semnr=15152
SFU Machine Learning Reading Grouphttps://www.cs.ubc.ca/~schmidtm/MLRG/
Multi-task logistic regression in brain-computer interfaceshttps://github.com/vinay-jayaram/MTlearning
Multi-task feature learninghttps://github.com/argyriou/multi_task_learning
Calibrated Multi-Task Learning Based on Non-convex Low Rankhttps://github.com/sudalvxin/Multi-task-Learning
Bayesian multi-task learning based parametric trajectory modelhttps://github.com/LeonAksman/bayes-mtl-traj
Parametric Bayesian multi-task learning for modeling biomarker trajectorieshttps://github.com/LeonAksman/bayes-mtl-traj
Kernelized Bayesian Multitask Learninghttps://github.com/mehmetgonen/kbmtl
Multi-task Gaussian process (MTGP)https://github.com/ebonilla/mtgp
Gaussian process multi-task learninghttps://github.com/amarquand/gpmtl
Asymmetric Multi-Task Learninghttps://github.com/BlasterL/AMTL
Hierarchical_Multi_Task_Learninghttps://github.com/digbose92/Hierarchical_Multi_Task_Learning
Asynchronous Multi-Task Learninghttps://github.com/illidanlab/AMTL
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Online Multi-Task Learning Toolkit (OMT) v1.0https://github.com/lancopku/Multi-Task-Learning
Robust-Multitask-Reinforcement Learninghttps://github.com/Alfo5123/Robust-Multitask-RL
Variable Selection and Task Grouping for Multi-Task Learning (VSTG-MTL)https://github.com/JunYongJeong/VSTG-MTL
MALSAR: Multi-task learning via Structural Regularizationhttp://jiayuzhou.github.io/MALSAR/
Multi Task Learning Package for Matlabhttps://github.com/cciliber/matMTL
Matlab MultiClass MultiTask Learning (MCMTL) toolboxhttps://github.com/dsmbgu8/MCMTL
Multitask Learninghttps://link.springer.com/article/10.1023/A:1007379606734
An overview of multi-task learninghttps://academic.oup.com/nsr/article/5/1/30/4101432
A brief review on multi-task learninghttps://link.springer.com/article/10.1007%2Fs11042-018-6463-x
Multi-task feature learning by using trace norm regularizationhttp://adsabs.harvard.edu/abs/2017OPhy...15...79J
Multi-Task Clustering with Model Relation Learninghttps://doi.org/10.24963/ijcai.2018/435
Online Multitask Learninghttps://www.microsoft.com/en-us/research/publication/online-multitask-learning/
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New Directions in Transfer and Multi-Task: Learning Across Domains and Taskshttps://sites.google.com/site/learningacross/home/accepted-papers
A Survey on Multi-Task Learninghttps://arxiv.org/abs/1707.08114
Self-Paced Multi-Task Clusteringhttps://arxiv.org/abs/1808.08068
Model-Protected Multi-Task Learninghttps://arxiv.org/abs/1809.06546
Task Sensitive Feature Exploration and Learning for Multi-Task Graph Classificationhttp://www.cse.fau.edu/~xqzhu/FelMuG/index.html
BMTMKL: Bayesian Multitask Multiple Kernel Learninghttps://research.cs.aalto.fi/pml/software/bmtmkl/
Multitask Learning / Domain Adaptationhttp://www.cs.cornell.edu/~kilian/research/multitasklearning/multitasklearning.html
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Multi-Task Learning: Theory, Algorithms, and Applicationshttps://archive.siam.org/meetings/sdm12/multi.php
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