├── README.md └── docs ├── mdl.md └── mkl.md /README.md: -------------------------------------------------------------------------------- 1 | # 多任务学习 Multitask-Learning 2 | 包含多任务学习的所有资料，包括：代表性学者主页、论文、综述、最新文集和开源代码。 3 | *欢迎一起贡献*~ 4 | # Introduction 5 | ## Personal Page 6 | * [Massimiliano Pontil - UCL](http://www0.cs.ucl.ac.uk/staff/M.Pontil/pubs.html) 7 | * [Yu Zhang (张宇) - HKUST](https://www.cse.ust.hk/~yuzhangcse/) 8 | * [Tong Zhang (张潼)- Tencent AI Lab](http://tongzhang-ml.org/publication.html) 9 | * [Fuzhen Zhuang (庄福振)](http://www.intsci.ac.cn/users/zhuangfuzhen/#Resources) 10 | * [Lei Han's Homepage](http://sysbio.cvm.msstate.edu/~leihan/) 11 | * [Pattern Recognition & Neural Computing Group - NUAA](http://parnec.nuaa.edu.cn/) 12 | * [Fei Sha University of Southern California](http://www-bcf.usc.edu/~feisha/index.html) 13 | * [Dr Xiaojun Chang – Faculty of Information Technology – Monash University](http://www.cs.cmu.edu/~uqxchan1/index.html) 14 | * [Yu-Gang Jiang Prof.](http://www.yugangjiang.info/) 15 | * [Zhuoliang Kang Ph.D student, Computer Science, USC](http://zhuoliang.me/research.html) 16 | * [Shiliang Sun’s Home Page](http://www.cs.ecnu.edu.cn/~slsun/) 17 | * [Dr. Timothy Hospedales](http://www.eecs.qmul.ac.uk/~tmh/index.html#home) 18 | * [ML^2 @ UCF](http://ml.cecs.ucf.edu/node/52) 19 | * [Elisa Ricci](https://sites.google.com/site/elisaricciunipg/home) 20 | * [Gjorgji Strezoski](https://staff.fnwi.uva.nl/g.strezoski/) 21 | * [Machine Learning with Interdependent and Non-identically Distributed Data](https://www.dagstuhl.de/en/program/calendar/semhp/?semnr=15152) 22 | * [SFU Machine Learning Reading Group](https://www.cs.ubc.ca/~schmidtm/MLRG/) 23 | ## Package and Toolbox 24 | * [MALSAR: Multi-task learning via Structural Regularization](http://jiayuzhou.github.io/MALSAR/) 25 | * [Multi-Task Learning: Theory, Algorithms, and Applications](https://archive.siam.org/meetings/sdm12/multi.php) 26 | * [SparseMTL Toolbox](http://asi.insa-rouen.fr/enseignants/~arakoto/code/SparseMTL.html#description) 27 | * [Bayesian multi-task learning based parametric trajectory model](https://github.com/LeonAksman/bayes-mtl-traj) 28 | * [Probabilistic Machine Learning](https://research.cs.aalto.fi/pml/software.shtml) 29 | * [HMTL: Hierarchical Multi-Task Learning](https://github.com/huggingface/hmtl) 30 | * [Matlab MultiClass MultiTask Learning (MCMTL) toolbox](https://github.com/dsmbgu8/MCMTL) 31 | * [Multi Task Learning Package for Matlab](https://github.com/cciliber/matMTL) 32 | * [Multi-task_Survival_Analysis](https://github.com/yanlirock/Multi-task_Survival_Analysis) 33 | ## Papers 34 | * [Multitask Learning](https://link.springer.com/article/10.1023/A:1007379606734) 35 | * [A Survey on Multi-Task Learning](https://arxiv.org/abs/1707.08114) 36 | * [An overview of multi-task learning](https://academic.oup.com/nsr/article/5/1/30/4101432) 37 | * [A brief review on multi-task learning](https://link.springer.com/article/10.1007%2Fs11042-018-6463-x) 38 | * [Online Multitask Learning](https://www.microsoft.com/en-us/research/publication/online-multitask-learning/) 39 | * [Online multitask relative similarity learning](https://ink.library.smu.edu.sg/sis_research/3846/) 40 | * [New Directions in Transfer and Multi-Task: Learning Across Domains and Tasks](https://sites.google.com/site/learningacross/home/accepted-papers) 41 | ## Multitask Learning Areas 42 | ### 多任务建模方式 43 | * 多任务关系学习 44 | + [Asymmetric Multi-Task Learning](https://github.com/BlasterL/AMTL) 45 | + [Hierarchical_Multi_Task_Learning](https://github.com/digbose92/Hierarchical_Multi_Task_Learning) 46 | + [Asynchronous Multi-Task Learning](https://github.com/illidanlab/AMTL) 47 | + [Asymmetric Multi-Task Learning](https://github.com/BlasterL/AMTL) 48 | + [Calibrated Multi-Task Learning Based on Non-convex Low Rank](https://github.com/sudalvxin/Multi-task-Learning) 49 | * 多任务特征学习 50 | + [Multi-task feature learning](https://github.com/argyriou/multi_task_learning) 51 | + [Multi-task feature learning by using trace norm regularization](http://adsabs.harvard.edu/abs/2017OPhy...15...79J) 52 | + [Task Sensitive Feature Exploration and Learning for Multi-Task Graph Classification](http://www.cse.fau.edu/~xqzhu/FelMuG/index.html) 53 | * 多任务特征与关系学习 54 | + [Variable Selection and Task Grouping for Multi-Task Learning (VSTG-MTL)](https://github.com/JunYongJeong/VSTG-MTL) 55 | 56 | * 聚类多任务学习 57 | * 多任务聚类 58 | + [Self-Paced Multi-Task Clustering](https://arxiv.org/abs/1808.08068) 59 | * 联邦多任务学习 60 | + [Federated Multi-Task Learning](https://github.com/gingsmith/fmtl) 61 | * 模型保护多任务学习 62 | + [Model-Protected Multi-Task Learning](https://arxiv.org/abs/1809.06546) 63 | ### 多任务学习方法 64 | * 多任务Logistic回归 65 | + [Multi-task logistic regression in brain-computer interfaces](https://github.com/vinay-jayaram/MTlearning) 66 | * 多任务贝叶斯方法 67 | + [Parametric Bayesian multi-task learning for modeling biomarker trajectories](https://github.com/LeonAksman/bayes-mtl-traj) 68 | + [Kernelized Bayesian Multitask Learning](https://github.com/mehmetgonen/kbmtl) 69 | + [BMTMKL: Bayesian Multitask Multiple Kernel Learning](https://research.cs.aalto.fi/pml/software/bmtmkl/) 70 | * 多任务高斯过程 71 | + [Multi-task Gaussian process (MTGP)](https://github.com/ebonilla/mtgp) 72 | + [Gaussian process multi-task learning](https://github.com/amarquand/gpmtl) 73 | * [多任务核方法](./docs/mkl.md) 74 | * [深度多任务学习](./docs/mdl.md) 75 | * 在线多任务学习 76 | + [Online Multi-Task Learning Toolkit (OMT) v1.0](https://github.com/lancopku/Multi-Task-Learning) 77 | * 多任务集成学习 78 | * 多任务强化学习 79 | + [Robust-Multitask-RL](https://github.com/Alfo5123/Robust-Multitask-RL) 80 | ## 凸优化 Convex Optimization 81 | * [EE364a: Convex Optimization I Professor Stephen Boyd, Stanford University](http://web.stanford.edu/class/ee364a/) 82 | * [EE227BT: Convex Optimization  —  Fall 2013](https://people.eecs.berkeley.edu/~elghaoui/Teaching/EE227A/index.html) 83 | * [CRAN - Package ADMM](http://cran.stat.ucla.edu/web/packages/ADMM/) -------------------------------------------------------------------------------- /docs/mdl.md: -------------------------------------------------------------------------------- 1 | # 多任务深度学习 2 | * Survey and Overview 3 | * [An Overview of Multi-Task Learning in Deep Neural Networks](http://ruder.io/multi-task/index.html) 4 | * Others 5 | * [Facial Landmark Detection by Deep Multi-task Learning](http://mmlab.ie.cuhk.edu.hk/projects/TCDCN.html) 6 | * [Multi-task Learning on MNIST Image Datasets](https://openreview.net/forum?id=S1PWi_lC-) 7 | * [New Research on Multi-Task Learning](https://blog.fastforwardlabs.com/2018/07/24/ff08-launch.html) 8 | * [An Overview of Multi-Task Learning in Deep Neural Networks](https://arxiv.org/abs/1706.05098) 9 | * [Multi-Task Learning with Deep Neural Networks](https://medium.com/@kajalgupta/multi-task-learning-with-deep-neural-networks-7544f8b7b4e3) 10 | * [Multi-Task Learning Objectives for Natural Language Processing](http://ruder.io/multi-task-learning-nlp/) 11 | * [Multi-Task Learning in Tensorflow](https://jg8610.github.io/Multi-Task/) 12 | * [Neural Networks Research Group](http://nn.cs.utexas.edu/index.php) 13 | * [Caiming Xiong - Home Page](http://www.stat.ucla.edu/~caiming/) -------------------------------------------------------------------------------- /docs/mkl.md: -------------------------------------------------------------------------------- 1 | # 多任务核方法 2 | * 多任务支持向量机 3 | + [Massimiliano Pontil - UCL](http://www0.cs.ucl.ac.uk/staff/M.Pontil/pubs.html) 4 | + [Efficient Multi-Task chemogenomics for drug specificity prediction](https://github.com/bplaye/efficient_MultiTask_SVM_for_chemogenomics) 5 | * 多任务多核学习 6 | + [Multi-Task Multiple Kernel Relationship Learning](https://github.com/keerthi166/MKMTRL) --------------------------------------------------------------------------------