mbs0221 / Multitask Learning
Awesome Multitask Learning Resources
Stars: ✭ 361
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Multitask-Learning
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~
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!
- Something New!!!
- Homepage
- Rich Caruana's (terribly out-of-date) Home Page
- Massimiliano Pontil - UCL
- Yu Zhang (张宇) - HKUST
- Tong Zhang (张潼)- Tencent AI Lab
- Fuzhen Zhuang (庄福振)
- Lei Han's Homepage
- Pattern Recognition & Neural Computing Group - NUAA
- Fei Sha University of Southern California
- Dr Xiaojun Chang – Faculty of Information Technology – Monash University
- Yu-Gang Jiang Prof.
- Zhuoliang Kang Ph.D student, Computer Science, USC
- Shiliang Sun’s Home Page
- Dr. Timothy Hospedales
- ML^2 @ UCF
- Elisa Ricci
- Gjorgji Strezoski
- Machine Learning with Interdependent and Non-identically Distributed Data
- SFU Machine Learning Reading Group
- Github
- Logistic Regression
- Bayesian Methods
- Gaussian Process
- Sparse & Low Rank Methods
- Asymmetric Multi-Task Learning
- Hierarchical_Multi_Task_Learning
- Asynchronous Multi-Task Learning
- HMTL: Hierarchical Multi-Task Learning
- Multi-task feature learning
- Multiplicative MultiTask Feature Learning (MMTFL)
- Learning Incoherent Sparse and Low-Rank Patterns from Multiple Tasks
- Variable Selection and Task Grouping for Multi-Task Learning (VSTG-MTL)
- Calibrated Multi-Task Learning Based on Non-convex Low Rank
- Multi-task_Survival_Analysis
- A Multi-Task Learning Formulation for Survival Analysis
- Federated Multi-Task Learning
- Online Learning
- Reinforcement Learning
- Package & Toolbox
- Papers
- Multitask Learning
- An overview of multi-task learning
- A brief review on multi-task learning
- A review on multi-task metric learning
- Safe sample screening for regularized multi-task learning
- Multi-task feature learning by using trace norm regularization
- Multi-Task Clustering with Model Relation Learning
- Online Multitask Learning
- Online multitask relative similarity learning
- New Directions in Transfer and Multi-Task: Learning Across Domains and Tasks
- Manifold Regularized Multi-Task Learning
- Multi-Objective Multi-Task Learning
- Multi-Task Active Learning
- Arxiv
- Slides
- Article slides
- Lecture slides
- Multi-Task Learning: The Bayesian Way, 2006
- Multi-task Gaussian Process Prediction, 2008
- Multitask Multiple Kernel Learning, 2010
- Multi-task Regularization of Generative Similarity Models, 2011
- Learning Multiple Tasks with a Sparse Matrix-Normal Penalty, 2011
- Multi-Task Learning via Matrix Regularization
- Multi-Task Learning: Theory, Algorithms, and Applications, 2012
- Multi-task and Transfer Learning, 2013
- Multi-task Learning and Structured Sparsity, 2013
- Multi-task Learning, 2013
- Multi-task Learning, 2014
- Multi-Task Learning: Models, Optimization and Applications, 2016
- Domain Adaptation / Multi-Task Learning Methods and Examples
- Resources
- Package & Toolbox
Related Research Areas
- Multi-Label Learning
- Few-Shot Learning & Meta-Learning
- Federated Learning
Convex Optimization
Note that the project description data, including the texts, logos, images, and/or trademarks,
for each open source project belongs to its rightful owner.
If you wish to add or remove any projects, please contact us at [email protected].