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Title: GitHub - anff/Multitask-Learning: Awesome Multitask Learning Resources

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Description: Awesome Multitask Learning Resources. Contribute to anff/Multitask-Learning development by creating an account on GitHub.

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https://patch-diff.githubusercontent.com/anff/Multitask-Learning#multitask-learning
CS330: Deep Multi-Task and Meta-Learninghttp://cs330.stanford.edu/
Rich Caruana's (terribly out-of-date) Home Pagehttp://www.cs.cmu.edu/~caruana/
Massimiliano Pontil - UCLhttp://www0.cs.ucl.ac.uk/staff/M.Pontil/
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
Kernelized Bayesian Multitask Learninghttps://github.com/mehmetgonen/kbmtl
Parametric Bayesian multi-task learning for modeling biomarker trajectorieshttps://github.com/LeonAksman/bayes-mtl-traj
Bayesian Multitask Multiple Kernel Learninghttps://github.com/mehmetgonen/bmtmkl
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
HMTL: Hierarchical Multi-Task Learninghttps://github.com/huggingface/hmtl
Multi-task feature learninghttps://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 Taskshttps://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 Rankhttps://github.com/sudalvxin/Multi-task-Learning
Multi-task_Survival_Analysishttps://github.com/yanlirock/Multi-task_Survival_Analysis
A Multi-Task Learning Formulation for Survival Analysishttps://github.com/yanlirock/MTLSA
Federated Multi-Task Learninghttps://github.com/gingsmith/fmtl
Online Multi-Task Learning Toolkit (OMT) v1.0https://github.com/lancopku/Multi-Task-Learning
Robust-Multitask-Reinforcement Learninghttps://github.com/Alfo5123/Robust-Multitask-RL
MALSAR: Multi-task learning via Structural Regularizationhttp://jiayuzhou.github.io/MALSAR/
MALSAR package Version 1.1https://github.com/xiayan/MTL
Multi Task Learning Package for Matlabhttps://github.com/cciliber/matMTL
Regularized Multi-task Learning in Rhttps://github.com/transbioZI/RMTL
Package to apply MTL on a few datasethttps://github.com/chcorbi/MultiTaskLearning
Matlab MultiClass MultiTask Learning (MCMTL) toolboxhttps://github.com/dsmbgu8/MCMTL
Personalized Multitask Learninghttps://github.com/mitmedialab/PersonalizedMultitaskLearning
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
A review on multi-task metric learninghttps://bdataanalytics.biomedcentral.com/articles/10.1186/s41044-018-0029-9
Safe sample screening for regularized multi-task learninghttps://linkinghub.elsevier.com/retrieve/pii/S0950705120304469
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/
Online multitask relative similarity learninghttps://ink.library.smu.edu.sg/sis_research/3846/
New Directions in Transfer and Multi-Task: Learning Across Domains and Taskshttps://sites.google.com/site/learningacross/home/accepted-papers
Manifold Regularized Multi-Task Learninghttps://doi.org/10.1007/978-3-642-34487-9_64
Multi-Objective Multi-Task Learninghttps://patch-diff.githubusercontent.com/anff/Multitask-Learning/blob/master/pdf/Multi-Objective%20Multi-Task%20Learning.pdf
Multi-Task Active Learninghttps://patch-diff.githubusercontent.com/anff/Multitask-Learning/blob/master/pdf/Multi-Task%20Active%20Learning.pdf
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
Multi-Task Feature Learninghttps://patch-diff.githubusercontent.com/anff/Multitask-Learning/blob/master/pdf/oh06_argyriou_mtfl_01.pdf
Multi-Stage Multi-Task Feature Learninghttps://patch-diff.githubusercontent.com/anff/Multitask-Learning/blob/master/pdf/machine_zhang_learning_01.pdf
A Dirty Model for Multitask Learninghttps://patch-diff.githubusercontent.com/anff/Multitask-Learning/blob/master/pdf/nips2010_jalali_dmm_01.pdf
Learning Incoherent Sparse and Low-Rank Patterns from Multiple Taskshttps://patch-diff.githubusercontent.com/anff/Multitask-Learning/blob/master/pdf/kdd2010_chen_lislrpmt_01.ppt
A Graph-based Framework for Multi-Task Multi-View Learninghttps://patch-diff.githubusercontent.com/anff/Multitask-Learning/blob/master/pdf/A%20Graph-based%20Framework%20for%20Multi-Task%20Multi-View%20Learning.pdf
Multi-Task Learning: The Bayesian Way, 2006https://patch-diff.githubusercontent.com/anff/Multitask-Learning/blob/master/pdf/oh06_heskes_bw_01.pdf
Multi-task Gaussian Process Prediction, 2008https://patch-diff.githubusercontent.com/anff/Multitask-Learning/blob/master/pdf/bark08_williams_mtlwgp_01.pdf
Multitask Multiple Kernel Learning, 2010https://patch-diff.githubusercontent.com/anff/Multitask-Learning/blob/master/pdf/nipsworkshops2010_widmer_mmk_01.pdf
Multi-task Regularization of Generative Similarity Models, 2011https://patch-diff.githubusercontent.com/anff/Multitask-Learning/blob/master/pdf/simbad2011_cazzanti_generative_01.pdf
Learning Multiple Tasks with a Sparse Matrix-Normal Penalty, 2011https://patch-diff.githubusercontent.com/anff/Multitask-Learning/blob/master/pdf/Esther3.25.2011.pdf
Multi-Task Learning via Matrix Regularizationhttps://patch-diff.githubusercontent.com/anff/Multitask-Learning/blob/master/pdf/lkasok08_argyriou_mtlvmr_01.pdf
Multi-Task Learning: Theory, Algorithms, and Applications, 2012https://patch-diff.githubusercontent.com/anff/Multitask-Learning/blob/master/pdf/Multi-Task%20Learning-Theory,%20Algorithms,%20and%20Applications.pdf
Multi-task and Transfer Learning, 2013https://patch-diff.githubusercontent.com/anff/Multitask-Learning/blob/master/pdf/Multi-task%20and%20Transfer%20Learning.pdf
Multi-task Learning and Structured Sparsity, 2013https://patch-diff.githubusercontent.com/anff/Multitask-Learning/blob/master/pdf/Multi-task%20Learning%20and%20Structured%20Sparsity.pdf
Multi-task Learning, 2013https://patch-diff.githubusercontent.com/anff/Multitask-Learning/blob/master/pdf/roks2013_pontil_learning_01.pdf
Multi-task Learning, 2014https://patch-diff.githubusercontent.com/anff/Multitask-Learning/blob/master/pdf/Multi-task%20Learning-1.pdf
Multi-Task Learning: Models, Optimization and Applications, 2016https://patch-diff.githubusercontent.com/anff/Multitask-Learning/blob/master/pdf/Multi-Task%20Learning-Models,%20Optimization%20and%20Applications.pdf
Domain Adaptation / Multi-Task Learning Methods and Exampleshttps://patch-diff.githubusercontent.com/anff/Multitask-Learning/blob/master/pdf/Domain%20Adaptation%20%E2%80%93%20Algorithms,%20Variants%20and%20Extensions.pdf
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
Multitask Kernel Methodshttps://patch-diff.githubusercontent.com/anff/Multitask-Learning/blob/master/docs/mkl.md
Multitask Deep Learninghttps://patch-diff.githubusercontent.com/anff/Multitask-Learning/blob/master/docs/mdl.md
RMTL: Regularized Multi-Task Learning https://cran.r-project.org/web/packages/RMTL/index.html
Multi-Task Learning: Theory, Algorithms, and Applicationshttps://archive.siam.org/meetings/sdm12/multi.php
An Tutorial for Regularized Multi-task Learning using the package RMTLhttps://cran.r-project.org/web/packages/RMTL/vignettes/rmtl.html
SparseMTL Toolboxhttp://asi.insa-rouen.fr/enseignants/~arakoto/code/SparseMTL.html#description
Probabilistic Machine Learninghttps://research.cs.aalto.fi/pml/software.shtml
https://patch-diff.githubusercontent.com/anff/Multitask-Learning#related-research-areas
KEEL-dataset repositoryhttps://sci2s.ugr.es/keel/multilabel.php#sub10
PyTorch Meta-learning Framework for Researchershttps://github.com/learnables/learn2learn
Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learninghttps://github.com/floodsung/Meta-Learning-Papers
Awesome Meta Learninghttps://github.com/sudharsan13296/Awesome-Meta-Learning
awesome-meta-learninghttps://github.com/dragen1860/awesome-meta-learning
Torchmetahttps://github.com/tristandeleu/pytorch-meta
Model-Agnostic Meta-Learninghttps://github.com/dragen1860/MAML-Pytorch
Federated Learninghttps://github.com/ZeroWangZY/federated-learning
Awesome Federated Learninghttps://github.com/poga/awesome-federated-learning
Awesome Federated Computinghttps://github.com/tushar-semwal/awesome-federated-computing
https://patch-diff.githubusercontent.com/anff/Multitask-Learning#convex-optimization
EE364a: Convex Optimization I Professor Stephen Boyd, Stanford Universityhttp://web.stanford.edu/class/ee364a/
EE227BT: Convex Optimization  —  Fall 2013https://people.eecs.berkeley.edu/~elghaoui/Teaching/EE227A/index.html
CRAN - Package ADMMhttp://cran.stat.ucla.edu/web/packages/ADMM/
Proximal-Proximal-Gradient Methodhttps://www.math.ucla.edu/~wotaoyin/papers/prox_prox_grad.html
Proximal gradient methodhttp://bicmr.pku.edu.cn/~wenzw/opt2015/lect-proxg.pdf
Readme https://patch-diff.githubusercontent.com/anff/Multitask-Learning#readme-ov-file
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