├── README.md └── docs ├── mdl.md └── mkl.md /README.md: -------------------------------------------------------------------------------- 1 | # Multitask-Learning 2 | 3 | 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~ 4 | 5 | * Homepage 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 | * Github 24 | + [Multi-task logistic regression in brain-computer interfaces](https://github.com/vinay-jayaram/MTlearning) 25 | + [Multi-task feature learning](https://github.com/argyriou/multi_task_learning) 26 | + [Calibrated Multi-Task Learning Based on Non-convex Low Rank](https://github.com/sudalvxin/Multi-task-Learning) 27 | + [Bayesian multi-task learning based parametric trajectory model](https://github.com/LeonAksman/bayes-mtl-traj) 28 | + [Parametric Bayesian multi-task learning for modeling biomarker trajectories](https://github.com/LeonAksman/bayes-mtl-traj) 29 | + [Kernelized Bayesian Multitask Learning](https://github.com/mehmetgonen/kbmtl) 30 | + [Multi-task Gaussian process (MTGP)](https://github.com/ebonilla/mtgp) 31 | + [Gaussian process multi-task learning](https://github.com/amarquand/gpmtl) 32 | + [Asymmetric Multi-Task Learning](https://github.com/BlasterL/AMTL) 33 | + [Hierarchical_Multi_Task_Learning](https://github.com/digbose92/Hierarchical_Multi_Task_Learning) 34 | + [Asynchronous Multi-Task Learning](https://github.com/illidanlab/AMTL) 35 | + [Asymmetric Multi-Task Learning](https://github.com/BlasterL/AMTL) 36 | * [HMTL: Hierarchical Multi-Task Learning](https://github.com/huggingface/hmtl) 37 | + [Multi-task_Survival_Analysis](https://github.com/yanlirock/Multi-task_Survival_Analysis) 38 | + [Federated Multi-Task Learning](https://github.com/gingsmith/fmtl) 39 | + [Online Multi-Task Learning Toolkit (OMT) v1.0](https://github.com/lancopku/Multi-Task-Learning) 40 | + [Robust-Multitask-Reinforcement Learning](https://github.com/Alfo5123/Robust-Multitask-RL) 41 | + [Variable Selection and Task Grouping for Multi-Task Learning (VSTG-MTL)](https://github.com/JunYongJeong/VSTG-MTL) 42 | + [MALSAR: Multi-task learning via Structural Regularization](http://jiayuzhou.github.io/MALSAR/) 43 | + [Multi Task Learning Package for Matlab](https://github.com/cciliber/matMTL) 44 | + [Matlab MultiClass MultiTask Learning (MCMTL) toolbox](https://github.com/dsmbgu8/MCMTL) 45 | * Papers 46 | * [Multitask Learning](https://link.springer.com/article/10.1023/A:1007379606734) 47 | * [An overview of multi-task learning](https://academic.oup.com/nsr/article/5/1/30/4101432) 48 | * [A brief review on multi-task learning](https://link.springer.com/article/10.1007%2Fs11042-018-6463-x) 49 | * [Multi-task feature learning by using trace norm regularization](http://adsabs.harvard.edu/abs/2017OPhy...15...79J) 50 | * [Multi-Task Clustering with Model Relation Learning](https://doi.org/10.24963/ijcai.2018/435) 51 | * [Online Multitask Learning](https://www.microsoft.com/en-us/research/publication/online-multitask-learning/) 52 | * [Online multitask relative similarity learning](https://ink.library.smu.edu.sg/sis_research/3846/) 53 | * [New Directions in Transfer and Multi-Task: Learning Across Domains and Tasks](https://sites.google.com/site/learningacross/home/accepted-papers) 54 | * Arxiv 55 | * [A Survey on Multi-Task Learning](https://arxiv.org/abs/1707.08114) 56 | * [Self-Paced Multi-Task Clustering](https://arxiv.org/abs/1808.08068) 57 | * [Model-Protected Multi-Task Learning](https://arxiv.org/abs/1809.06546) 58 | * Resources 59 | * [Task Sensitive Feature Exploration and Learning for Multi-Task Graph Classification](http://www.cse.fau.edu/~xqzhu/FelMuG/index.html) 60 | * [BMTMKL: Bayesian Multitask Multiple Kernel Learning](https://research.cs.aalto.fi/pml/software/bmtmkl/) 61 | * [Multitask Learning / Domain Adaptation](http://www.cs.cornell.edu/~kilian/research/multitasklearning/multitasklearning.html) 62 | * [Multitask Kernel Methods](./docs/mkl.md) 63 | * [Multitask Deep Learning](./docs/mdl.md) 64 | * Package & Toolbox 65 | * [Multi-Task Learning: Theory, Algorithms, and Applications](https://archive.siam.org/meetings/sdm12/multi.php) 66 | * [An Tutorial for Regularized Multi-task Learning using the package RMTL](https://cran.r-project.org/web/packages/RMTL/vignettes/rmtl.html) 67 | * [SparseMTL Toolbox](http://asi.insa-rouen.fr/enseignants/~arakoto/code/SparseMTL.html#description) 68 | * [Probabilistic Machine Learning](https://research.cs.aalto.fi/pml/software.shtml) 69 | ## Multilabel learning 70 | * [KEEL-dataset repository](https://sci2s.ugr.es/keel/multilabel.php#sub10) 71 | ## Convex Optimization 72 | * [EE364a: Convex Optimization I Professor Stephen Boyd, Stanford University](http://web.stanford.edu/class/ee364a/) 73 | * [EE227BT: Convex Optimization  —  Fall 2013](https://people.eecs.berkeley.edu/~elghaoui/Teaching/EE227A/index.html) 74 | * [CRAN - Package ADMM](http://cran.stat.ucla.edu/web/packages/ADMM/) -------------------------------------------------------------------------------- /docs/mdl.md: -------------------------------------------------------------------------------- 1 | # Multitask Deep Learning 2 | * Homepage 3 | * [Neural Networks Research Group](http://nn.cs.utexas.edu/index.php) 4 | * [Caiming Xiong - Home Page](http://www.stat.ucla.edu/~caiming/) 5 | * Survey and Overview 6 | * [An Overview of Multi-Task Learning in Deep Neural Networks](https://arxiv.org/abs/1706.05098) 7 | * Papers 8 | * [Cross-connected Networks for Multi-task Learning of Detection and Segmentation](https://arxiv.org/abs/1805.05569) 9 | * [Learning and Transferring Multi-task Deep Representation for Face Alignment](https://arxiv.org/abs/1408.3967) 10 | * [Facial Landmark Detection by Deep Multi-task Learning](http://mmlab.ie.cuhk.edu.hk/projects/TCDCN.html) 11 | * [Multi-task Learning of Facial Landmarks and Expression](https://ieeexplore.ieee.org/document/6816830) 12 | * [One Model To Learn Them All](https://arxiv.org/abs/1706.05137) 13 | * [Auxiliary Tasks in Multi-task Learning](https://arxiv.org/abs/1805.06334) 14 | * [End-to-End Multi-Task Learning with Attention](https://arxiv.org/abs/1803.10704) 15 | * Tutorials 16 | * [Multi-task Learning on MNIST Image Datasets](https://openreview.net/forum?id=S1PWi_lC-) 17 | * [New Research on Multi-Task Learning](https://blog.fastforwardlabs.com/2018/07/24/ff08-launch.html) 18 | * [Multi-Task Learning with Deep Neural Networks](https://medium.com/@kajalgupta/multi-task-learning-with-deep-neural-networks-7544f8b7b4e3) 19 | * [Multi-Task Learning Objectives for Natural Language Processing](http://ruder.io/multi-task-learning-nlp/) 20 | * [Multi-Task Learning in Tensorflow](https://jg8610.github.io/Multi-Task/) 21 | * [Multi-Task Deep Neural Networks for Natural Language Understanding](https://github.com/namisan/mt-dnn) -------------------------------------------------------------------------------- /docs/mkl.md: -------------------------------------------------------------------------------- 1 | # Multitask Kernel Methods 2 | * Multitask Support Vector Machines 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 | * Regularized multi-task learning 6 | * Multi-task least squares support vector machine 7 | * Multi-task proximal support vector machine 8 | * Multi-task asymmetric least squares support vector machine 9 | * Multi-task twin support vector machine 10 | * [Multi-task centroid twin support vector machine](https://doi.org/10.1016/j.neucom.2014.07.025) 11 | * [Multi-task least squares twin support vector machine](https://doi.org/10.1016/j.neucom.2018.12.079) 12 | * Multitask Multi-Kernel Learning 13 | + [Multi-Task Multiple Kernel Relationship Learning](https://github.com/keerthi166/MKMTRL) --------------------------------------------------------------------------------