├── README.md ├── docs ├── mdl.md └── mkl.md └── pdf ├── A Graph-based Framework for Multi-Task Multi-View Learning.pdf ├── Domain Adaptation – Algorithms, Variants and Extensions.pdf ├── Esther3.25.2011.pdf ├── Multi-Objective Multi-Task Learning.pdf ├── Multi-Task Active Learning.pdf ├── Multi-Task Learning-Models, Optimization and Applications.pdf ├── Multi-Task Learning-Theory, Algorithms, and Applications.pdf ├── Multi-task Learning and Structured Sparsity.pdf ├── Multi-task Learning-1.pdf ├── Multi-task and Transfer Learning.pdf ├── bark08_williams_mtlwgp_01.pdf ├── kdd2010_chen_lislrpmt_01.ppt ├── lkasok08_argyriou_mtlvmr_01.pdf ├── machine_zhang_learning_01.pdf ├── nips2010_jalali_dmm_01.pdf ├── nipsworkshops2010_widmer_mmk_01.pdf ├── oh06_argyriou_mtfl_01.pdf ├── oh06_heskes_bw_01.pdf ├── roks2013_pontil_learning_01.pdf └── simbad2011_cazzanti_generative_01.pdf /README.md: -------------------------------------------------------------------------------- 1 | # Multitask-Learning 2 | 多任务学习相关资料，主要包括代表性学者主页、论文、综述、幻灯片、论文集和开源代码。欢迎分享~ 3 | 4 | This repository collects Multitask-Learning related materials, mainly including the homepage of representative scholars, papers, surveys, slides, proceedings, and open-source projects. Welcome to share these materials! 5 | * Something New!!! 6 | * [CS330: Deep Multi-Task and Meta-Learning](http://cs330.stanford.edu/) 7 | * Homepage 8 | * [Rich Caruana's (terribly out-of-date) Home Page](http://www.cs.cmu.edu/~caruana/) 9 | * [Massimiliano Pontil - UCL](http://www0.cs.ucl.ac.uk/staff/M.Pontil/) 10 | * [Jiayu Zhou | Machine Learning at Michigan State University](http://jiayuzhou.github.io/) 11 | * [Yu Zhang (张宇) - HKUST](https://www.cse.ust.hk/~yuzhangcse/) 12 | * [Tong Zhang (张潼)- Tencent AI Lab](http://tongzhang-ml.org/publication.html) 13 | * [Fuzhen Zhuang (庄福振)](http://www.intsci.ac.cn/users/zhuangfuzhen/#Resources) 14 | * [Lei Han's Homepage](http://sysbio.cvm.msstate.edu/~leihan/) 15 | * [Pattern Recognition & Neural Computing Group - NUAA](http://parnec.nuaa.edu.cn/) 16 | * [Fei Sha University of Southern California](http://www-bcf.usc.edu/~feisha/index.html) 17 | * [Dr Xiaojun Chang – Faculty of Information Technology – Monash University](http://www.cs.cmu.edu/~uqxchan1/index.html) 18 | * [Yu-Gang Jiang Prof.](http://www.yugangjiang.info/) 19 | * [Zhuoliang Kang Ph.D student, Computer Science, USC](http://zhuoliang.me/research.html) 20 | * [Shiliang Sun’s Home Page](http://www.cs.ecnu.edu.cn/~slsun/) 21 | * [Dr. Timothy Hospedales](http://www.eecs.qmul.ac.uk/~tmh/index.html#home) 22 | * [ML^2 @ UCF](http://ml.cecs.ucf.edu/node/52) 23 | * [Elisa Ricci](https://sites.google.com/site/elisaricciunipg/home) 24 | * [Gjorgji Strezoski](https://staff.fnwi.uva.nl/g.strezoski/) 25 | * [Machine Learning with Interdependent and Non-identically Distributed Data](https://www.dagstuhl.de/en/program/calendar/semhp/?semnr=15152) 26 | * [SFU Machine Learning Reading Group](https://www.cs.ubc.ca/~schmidtm/MLRG/) 27 | * Github 28 | * Logistic Regression 29 | * [Multi-task logistic regression in brain-computer interfaces](https://github.com/vinay-jayaram/MTlearning) 30 | * Bayesian Methods 31 | * [Kernelized Bayesian Multitask Learning](https://github.com/mehmetgonen/kbmtl) 32 | * [Parametric Bayesian multi-task learning for modeling biomarker trajectories](https://github.com/LeonAksman/bayes-mtl-traj) 33 | * [Bayesian Multitask Multiple Kernel Learning](https://github.com/mehmetgonen/bmtmkl) 34 | * Gaussian Process 35 | * [Multi-task Gaussian process (MTGP)](https://github.com/ebonilla/mtgp) 36 | * [Gaussian process multi-task learning](https://github.com/amarquand/gpmtl) 37 | * Sparse & Low Rank Methods 38 | * [Asymmetric Multi-Task Learning](https://github.com/BlasterL/AMTL) 39 | * [Hierarchical_Multi_Task_Learning](https://github.com/digbose92/Hierarchical_Multi_Task_Learning) 40 | * [Asynchronous Multi-Task Learning](https://github.com/illidanlab/AMTL) 41 | * [HMTL: Hierarchical Multi-Task Learning](https://github.com/huggingface/hmtl) 42 | * [Multi-task feature learning](https://github.com/argyriou/multi_task_learning) 43 | * [Multiplicative MultiTask Feature Learning (MMTFL)](https://github.com/JunYongJeong/MMTFL) 44 | * [Learning Incoherent Sparse and Low-Rank Patterns from Multiple Tasks](https://github.com/AlamiMejjati/Mtl-Implem) 45 | * [Variable Selection and Task Grouping for Multi-Task Learning (VSTG-MTL)](https://github.com/JunYongJeong/VSTG-MTL) 46 | * [Calibrated Multi-Task Learning Based on Non-convex Low Rank](https://github.com/sudalvxin/Multi-task-Learning) 47 | * [Multi-task_Survival_Analysis](https://github.com/yanlirock/Multi-task_Survival_Analysis) 48 | * [A Multi-Task Learning Formulation for Survival Analysis](https://github.com/yanlirock/MTLSA) 49 | * [Federated Multi-Task Learning](https://github.com/gingsmith/fmtl) 50 | * Online Learning 51 | * [Online Multi-Task Learning Toolkit (OMT) v1.0](https://github.com/lancopku/Multi-Task-Learning) 52 | * Reinforcement Learning 53 | * [Robust-Multitask-Reinforcement Learning](https://github.com/Alfo5123/Robust-Multitask-RL) 54 | * Package & Toolbox 55 | * [MALSAR: Multi-task learning via Structural Regularization](http://jiayuzhou.github.io/MALSAR/) 56 | * [MALSAR package Version 1.1](https://github.com/xiayan/MTL) 57 | * [Multi Task Learning Package for Matlab](https://github.com/cciliber/matMTL) 58 | * [Regularized Multi-task Learning in R](https://github.com/transbioZI/RMTL) 59 | * [Package to apply MTL on a few dataset](https://github.com/chcorbi/MultiTaskLearning) 60 | * [Matlab MultiClass MultiTask Learning (MCMTL) toolbox](https://github.com/dsmbgu8/MCMTL) 61 | * [Personalized Multitask Learning](https://github.com/mitmedialab/PersonalizedMultitaskLearning) 62 | * Papers 63 | * [Multitask Learning](https://link.springer.com/article/10.1023/A:1007379606734) 64 | * [An overview of multi-task learning](https://academic.oup.com/nsr/article/5/1/30/4101432) 65 | * [A brief review on multi-task learning](https://link.springer.com/article/10.1007%2Fs11042-018-6463-x) 66 | * [A review on multi-task metric learning](https://bdataanalytics.biomedcentral.com/articles/10.1186/s41044-018-0029-9) 67 | * [Safe sample screening for regularized multi-task learning](https://linkinghub.elsevier.com/retrieve/pii/S0950705120304469) 68 | * [Multi-task feature learning by using trace norm regularization](http://adsabs.harvard.edu/abs/2017OPhy...15...79J) 69 | * [Multi-Task Clustering with Model Relation Learning](https://doi.org/10.24963/ijcai.2018/435) 70 | * [Online Multitask Learning](https://www.microsoft.com/en-us/research/publication/online-multitask-learning/) 71 | * [Online multitask relative similarity learning](https://ink.library.smu.edu.sg/sis_research/3846/) 72 | * [New Directions in Transfer and Multi-Task: Learning Across Domains and Tasks](https://sites.google.com/site/learningacross/home/accepted-papers) 73 | * [Manifold Regularized Multi-Task Learning](https://doi.org/10.1007/978-3-642-34487-9_64) 74 | * [Multi-Objective Multi-Task Learning](./pdf/Multi-Objective%20Multi-Task%20Learning.pdf) 75 | * [Multi-Task Active Learning](./pdf/Multi-Task%20Active%20Learning.pdf) 76 | * Arxiv 77 | * [A Survey on Multi-Task Learning](https://arxiv.org/abs/1707.08114) 78 | * [Self-Paced Multi-Task Clustering](https://arxiv.org/abs/1808.08068) 79 | * [Model-Protected Multi-Task Learning](https://arxiv.org/abs/1809.06546) 80 | * Slides 81 | * Article slides 82 | * [Multi-Task Feature Learning](./pdf/oh06_argyriou_mtfl_01.pdf) 83 | * [Multi-Stage Multi-Task Feature Learning](./pdf/machine_zhang_learning_01.pdf) 84 | * [A Dirty Model for Multitask Learning](./pdf/nips2010_jalali_dmm_01.pdf) 85 | * [Learning Incoherent Sparse and Low-Rank Patterns from Multiple Tasks](./pdf/kdd2010_chen_lislrpmt_01.ppt) 86 | * [A Graph-based Framework for Multi-Task Multi-View Learning](./pdf/A%20Graph-based%20Framework%20for%20Multi-Task%20Multi-View%20Learning.pdf) 87 | * Lecture slides 88 | * [Multi-Task Learning: The Bayesian Way, 2006](./pdf/oh06_heskes_bw_01.pdf) 89 | * [Multi-task Gaussian Process Prediction, 2008](./pdf/bark08_williams_mtlwgp_01.pdf) 90 | * [Multitask Multiple Kernel Learning, 2010](./pdf/nipsworkshops2010_widmer_mmk_01.pdf) 91 | * [Multi-task Regularization of Generative Similarity Models, 2011](./pdf/simbad2011_cazzanti_generative_01.pdf) 92 | * [Learning Multiple Tasks with a Sparse Matrix-Normal Penalty, 2011](./pdf/Esther3.25.2011.pdf) 93 | * [Multi-Task Learning via Matrix Regularization](./pdf/lkasok08_argyriou_mtlvmr_01.pdf) 94 | * [Multi-Task Learning: Theory, Algorithms, and Applications, 2012](./pdf/Multi-Task%20Learning-Theory,%20Algorithms,%20and%20Applications.pdf) 95 | * [Multi-task and Transfer Learning, 2013](./pdf/Multi-task%20and%20Transfer%20Learning.pdf) 96 | * [Multi-task Learning and Structured Sparsity, 2013](./pdf/Multi-task%20Learning%20and%20Structured%20Sparsity.pdf) 97 | * [Multi-task Learning, 2013](./pdf/roks2013_pontil_learning_01.pdf) 98 | * [Multi-task Learning, 2014](./pdf/Multi-task%20Learning-1.pdf) 99 | * [Multi-Task Learning: Models, Optimization and Applications, 2016](./pdf/Multi-Task%20Learning-Models,%20Optimization%20and%20Applications.pdf) 100 | * [Domain Adaptation / Multi-Task Learning Methods and Examples](./pdf/Domain%20Adaptation%20–%20Algorithms,%20Variants%20and%20Extensions.pdf) 101 | * [Recent Advances in Multi-Task Learning](http://jiayuzhou.github.io/talks/advances_in_multitask_learning.pdf) 102 | * Resources 103 | * [Task Sensitive Feature Exploration and Learning for Multi-Task Graph Classification](http://www.cse.fau.edu/~xqzhu/FelMuG/index.html) 104 | * [BMTMKL: Bayesian Multitask Multiple Kernel Learning](https://research.cs.aalto.fi/pml/software/bmtmkl/) 105 | * [Multitask Learning / Domain Adaptation](http://www.cs.cornell.edu/~kilian/research/multitasklearning/multitasklearning.html) 106 | * [Multitask Kernel Methods](./docs/mkl.md) 107 | * [Multitask Deep Learning](./docs/mdl.md) 108 | * Package & Toolbox 109 | * [RMTL: Regularized Multi-Task Learning 110 | ](https://cran.r-project.org/web/packages/RMTL/index.html) 111 | * [Multi-Task Learning: Theory, Algorithms, and Applications](https://archive.siam.org/meetings/sdm12/multi.php) 112 | * [An Tutorial for Regularized Multi-task Learning using the package RMTL](https://cran.r-project.org/web/packages/RMTL/vignettes/rmtl.html) 113 | * [SparseMTL Toolbox](http://asi.insa-rouen.fr/enseignants/~arakoto/code/SparseMTL.html#description) 114 | * [Probabilistic Machine Learning](https://research.cs.aalto.fi/pml/software.shtml) 115 | ## Related Research Areas 116 | * Multi-Label Learning 117 | * [KEEL-dataset repository](https://sci2s.ugr.es/keel/multilabel.php#sub10) 118 | * Few-Shot Learning & Meta-Learning 119 | * [PyTorch Meta-learning Framework for Researchers](https://github.com/learnables/learn2learn) 120 | * [Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning](https://github.com/floodsung/Meta-Learning-Papers) 121 | * [Awesome Meta Learning](https://github.com/sudharsan13296/Awesome-Meta-Learning) 122 | * [awesome-meta-learning](https://github.com/dragen1860/awesome-meta-learning) 123 | * [Torchmeta](https://github.com/tristandeleu/pytorch-meta) 124 | * [Model-Agnostic Meta-Learning](https://github.com/dragen1860/MAML-Pytorch) 125 | * Federated Learning 126 | * [Federated Learning](https://github.com/ZeroWangZY/federated-learning) 127 | * [Awesome Federated Learning](https://github.com/poga/awesome-federated-learning) 128 | * [Awesome Federated Computing](https://github.com/tushar-semwal/awesome-federated-computing) 129 | ## Convex Optimization 130 | * [EE364a: Convex Optimization I Professor Stephen Boyd, Stanford University](http://web.stanford.edu/class/ee364a/) 131 | * [EE227BT: Convex Optimization  —  Fall 2013](https://people.eecs.berkeley.edu/~elghaoui/Teaching/EE227A/index.html) 132 | * [CRAN - Package ADMM](http://cran.stat.ucla.edu/web/packages/ADMM/) 133 | * [Proximal-Proximal-Gradient Method](https://www.math.ucla.edu/~wotaoyin/papers/prox_prox_grad.html) 134 | * [Proximal gradient method](http://bicmr.pku.edu.cn/~wenzw/opt2015/lect-proxg.pdf) 135 | -------------------------------------------------------------------------------- /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 | * [A Multi-Task Learning Approach for Answer Selection: A Study and a Chinese Law Dataset](https://aaai.org/ojs/index.php/AAAI/article/view/5104) 16 | * [A Multi-Task Learning Framework for Abstractive Text Summarization](https://aaai.org/ojs/index.php/AAAI/article/view/5130) 17 | * Tutorials 18 | * [Multi-task Learning on MNIST Image Datasets](https://openreview.net/forum?id=S1PWi_lC-) 19 | * [New Research on Multi-Task Learning](https://blog.fastforwardlabs.com/2018/07/24/ff08-launch.html) 20 | * [Multi-Task Learning with Deep Neural Networks](https://medium.com/@kajalgupta/multi-task-learning-with-deep-neural-networks-7544f8b7b4e3) 21 | * [Multi-Task Learning Objectives for Natural Language Processing](http://ruder.io/multi-task-learning-nlp/) 22 | * GitHub 23 | * [Multi-Task Learning in Tensorflow](https://jg8610.github.io/Multi-Task/) 24 | * [Multi-Task Deep Neural Networks for Natural Language Understanding](https://github.com/namisan/mt-dnn) 25 | * [BERT for Multitask Learning](https://github.com/JayYip/bert-multitask-learning) 26 | * [Deep Multi-Task Sentiment Analysis](https://github.com/polaroidz/multitask_sentiment_analysis) 27 | * [MULTI-TASK LEARNING ON MNIST IMAGE DATASETS](https://github.com/pochih/MNIST-multitask) 28 | * [Multi-task joint learning](https://github.com/ksingla025/MultiTask) 29 | * [Multi-Task Learning Software Suite (MTL4C), Version: 1.0](https://github.com/LLNL/MTL-suite) 30 | -------------------------------------------------------------------------------- /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 | * [Shiliang Sun’s Home Page](http://www.cst.ecnu.edu.cn/~slsun/) 5 | * [Efficient Multi-Task chemogenomics for drug specificity prediction](https://github.com/bplaye/efficient_MultiTask_SVM_for_chemogenomics) 6 | * [Binary_SVM_MTL](https://github.com/maziars/Binary_SVM_MTL) 7 | * [Regularized multi-task learning](https://dl.acm.org/doi/10.1145/1014052.1014067) 8 | * [Multi-Task Least-Squares Support Vector Machines](https://github.com/pzczxs/MTLSSVM) 9 | * [Multi-task proximal support vector machine](https://doi.org/10.1016/j.patcog.2015.01.014) 10 | * [Multi-task asymmetric least squares support vector machine](https://link.springer.com/article/10.1007%2Fs10489-017-1087-9) 11 | * [Multi-task twin support vector machine](https://link.springer.com/chapter/10.1007%2F978-3-642-34481-7_42) 12 | * [Multi-task centroid twin support vector machine](https://doi.org/10.1016/j.neucom.2014.07.025) 13 | * [Multi-task least squares twin support vector machine](https://doi.org/10.1016/j.neucom.2018.12.079) 14 | * [Multi-task ν-twin support vector machines](https://link.springer.com/article/10.1007%2Fs00521-019-04628-5) 15 | * [Graph-regularized multi-task support vector machine](https://ieeexplore.ieee.org/document/6214595) 16 | * Multitask Multi-Kernel Learning 17 | * [Multikernel Multitask Learning](https://github.com/XiaoliNolan/MKMTL) 18 | * [Multi-Task Multiple Kernel Relationship Learning](https://github.com/keerthi166/MKMTRL) 19 | -------------------------------------------------------------------------------- /pdf/A Graph-based Framework for Multi-Task Multi-View Learning.pdf: -------------------------------------------------------------------------------- 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