# Multitask-Learning **Repository Path**: yubo1993/Multitask-Learning ## Basic Information - **Project Name**: Multitask-Learning - **Description**: Multitask Learning Resources - **Primary Language**: Unknown - **License**: Not specified - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 1 - **Forks**: 0 - **Created**: 2020-08-24 - **Last Updated**: 2021-05-13 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README # Multitask-Learning 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。欢迎分享~ * Homepage * [Massimiliano Pontil - UCL](http://www0.cs.ucl.ac.uk/staff/M.Pontil/pubs.html) * [Yu Zhang (张宇) - HKUST](https://www.cse.ust.hk/~yuzhangcse/) * [Tong Zhang (张潼)- Tencent AI Lab](http://tongzhang-ml.org/publication.html) * [Fuzhen Zhuang (庄福振)](http://www.intsci.ac.cn/users/zhuangfuzhen/#Resources) * [Lei Han's Homepage](http://sysbio.cvm.msstate.edu/~leihan/) * [Pattern Recognition & Neural Computing Group - NUAA](http://parnec.nuaa.edu.cn/) * [Fei Sha University of Southern California](http://www-bcf.usc.edu/~feisha/index.html) * [Dr Xiaojun Chang – Faculty of Information Technology – Monash University](http://www.cs.cmu.edu/~uqxchan1/index.html) * [Yu-Gang Jiang Prof.](http://www.yugangjiang.info/) * [Zhuoliang Kang Ph.D student, Computer Science, USC](http://zhuoliang.me/research.html) * [Shiliang Sun’s Home Page](http://www.cs.ecnu.edu.cn/~slsun/) * [Dr. Timothy Hospedales](http://www.eecs.qmul.ac.uk/~tmh/index.html#home) * [ML^2 @ UCF](http://ml.cecs.ucf.edu/node/52) * [Elisa Ricci](https://sites.google.com/site/elisaricciunipg/home) * [Gjorgji Strezoski](https://staff.fnwi.uva.nl/g.strezoski/) * [Machine Learning with Interdependent and Non-identically Distributed Data](https://www.dagstuhl.de/en/program/calendar/semhp/?semnr=15152) * [SFU Machine Learning Reading Group](https://www.cs.ubc.ca/~schmidtm/MLRG/) * Github * Logistic Regression * [Multi-task logistic regression in brain-computer interfaces](https://github.com/vinay-jayaram/MTlearning) * Bayesian Methods * [Kernelized Bayesian Multitask Learning](https://github.com/mehmetgonen/kbmtl) * [Parametric Bayesian multi-task learning for modeling biomarker trajectories](https://github.com/LeonAksman/bayes-mtl-traj) * [Bayesian Multitask Multiple Kernel Learning](https://github.com/mehmetgonen/bmtmkl) * Gaussian Process * [Multi-task Gaussian process (MTGP)](https://github.com/ebonilla/mtgp) * [Gaussian process multi-task learning](https://github.com/amarquand/gpmtl) * Sparse & Low Rank Methods * [Asymmetric Multi-Task Learning](https://github.com/BlasterL/AMTL) * [Hierarchical_Multi_Task_Learning](https://github.com/digbose92/Hierarchical_Multi_Task_Learning) * [Asynchronous Multi-Task Learning](https://github.com/illidanlab/AMTL) * [HMTL: Hierarchical Multi-Task Learning](https://github.com/huggingface/hmtl) * [Multi-task feature learning](https://github.com/argyriou/multi_task_learning) * [Multiplicative MultiTask Feature Learning (MMTFL)](https://github.com/JunYongJeong/MMTFL) * [Learning Incoherent Sparse and Low-Rank Patterns from Multiple Tasks](https://github.com/AlamiMejjati/Mtl-Implem) * [Variable Selection and Task Grouping for Multi-Task Learning (VSTG-MTL)](https://github.com/JunYongJeong/VSTG-MTL) * [Calibrated Multi-Task Learning Based on Non-convex Low Rank](https://github.com/sudalvxin/Multi-task-Learning) * [Multi-task_Survival_Analysis](https://github.com/yanlirock/Multi-task_Survival_Analysis) * [A Multi-Task Learning Formulation for Survival Analysis](https://github.com/yanlirock/MTLSA) * [Federated Multi-Task Learning](https://github.com/gingsmith/fmtl) * Online Learning * [Online Multi-Task Learning Toolkit (OMT) v1.0](https://github.com/lancopku/Multi-Task-Learning) * Reinforcement Learning * [Robust-Multitask-Reinforcement Learning](https://github.com/Alfo5123/Robust-Multitask-RL) * Package & Toolbox * [MALSAR: Multi-task learning via Structural Regularization](http://jiayuzhou.github.io/MALSAR/) * [MALSAR package Version 1.1](https://github.com/xiayan/MTL) * [Multi Task Learning Package for Matlab](https://github.com/cciliber/matMTL) * [Package to apply MTL on a few dataset](https://github.com/chcorbi/MultiTaskLearning) * [Matlab MultiClass MultiTask Learning (MCMTL) toolbox](https://github.com/dsmbgu8/MCMTL) * [Personalized Multitask Learning](https://github.com/mitmedialab/PersonalizedMultitaskLearning) * Papers * [Multitask Learning](https://link.springer.com/article/10.1023/A:1007379606734) * [An overview of multi-task learning](https://academic.oup.com/nsr/article/5/1/30/4101432) * [A brief review on multi-task learning](https://link.springer.com/article/10.1007%2Fs11042-018-6463-x) * [Multi-task feature learning by using trace norm regularization](http://adsabs.harvard.edu/abs/2017OPhy...15...79J) * [Multi-Task Clustering with Model Relation Learning](https://doi.org/10.24963/ijcai.2018/435) * [Online Multitask Learning](https://www.microsoft.com/en-us/research/publication/online-multitask-learning/) * [Online multitask relative similarity learning](https://ink.library.smu.edu.sg/sis_research/3846/) * [New Directions in Transfer and Multi-Task: Learning Across Domains and Tasks](https://sites.google.com/site/learningacross/home/accepted-papers) * Arxiv * [A Survey on Multi-Task Learning](https://arxiv.org/abs/1707.08114) * [Self-Paced Multi-Task Clustering](https://arxiv.org/abs/1808.08068) * [Model-Protected Multi-Task Learning](https://arxiv.org/abs/1809.06546) * Resources * [Task Sensitive Feature Exploration and Learning for Multi-Task Graph Classification](http://www.cse.fau.edu/~xqzhu/FelMuG/index.html) * [BMTMKL: Bayesian Multitask Multiple Kernel Learning](https://research.cs.aalto.fi/pml/software/bmtmkl/) * [Multitask Learning / Domain Adaptation](http://www.cs.cornell.edu/~kilian/research/multitasklearning/multitasklearning.html) * [Multitask Kernel Methods](./docs/mkl.md) * [Multitask Deep Learning](./docs/mdl.md) * Package & Toolbox * [Multi-Task Learning: Theory, Algorithms, and Applications](https://archive.siam.org/meetings/sdm12/multi.php) * [An Tutorial for Regularized Multi-task Learning using the package RMTL](https://cran.r-project.org/web/packages/RMTL/vignettes/rmtl.html) * [SparseMTL Toolbox](http://asi.insa-rouen.fr/enseignants/~arakoto/code/SparseMTL.html#description) * [Probabilistic Machine Learning](https://research.cs.aalto.fi/pml/software.shtml) ## Multilabel learning * [KEEL-dataset repository](https://sci2s.ugr.es/keel/multilabel.php#sub10) ## Convex Optimization * [EE364a: Convex Optimization I Professor Stephen Boyd, Stanford University](http://web.stanford.edu/class/ee364a/) * [EE227BT: Convex Optimization  —  Fall 2013](https://people.eecs.berkeley.edu/~elghaoui/Teaching/EE227A/index.html) * [CRAN - Package ADMM](http://cran.stat.ucla.edu/web/packages/ADMM/)