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。 欢迎一起贡献~

• 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

• MALSAR: Multi-task learning via Structural Regularization
• Multi-Task Learning: Theory, Algorithms, and Applications
• SparseMTL Toolbox
• Bayesian multi-task learning based parametric trajectory model
• Probabilistic Machine Learning
• HMTL: Hierarchical Multi-Task Learning
• Matlab MultiClass MultiTask Learning (MCMTL) toolbox
• Multi Task Learning Package for Matlab
• Multi-task_Survival_Analysis

• Multitask Learning
• A Survey on Multi-Task Learning
• An overview of multi-task learning
• A brief review on multi-task learning
• Online Multitask Learning
• Online multitask relative similarity learning
• New Directions in Transfer and Multi-Task: Learning Across Domains and Tasks

• 多任务关系学习

  • Asymmetric Multi-Task Learning
  • Hierarchical_Multi_Task_Learning
  • Asynchronous Multi-Task Learning
  • Asymmetric Multi-Task Learning
  • Calibrated Multi-Task Learning Based on Non-convex Low Rank

• 多任务特征学习

  • Multi-task feature learning
  • Multi-task feature learning by using trace norm regularization
  • Task Sensitive Feature Exploration and Learning for Multi-Task Graph Classification

• 多任务特征与关系学习

  • Variable Selection and Task Grouping for Multi-Task Learning (VSTG-MTL)

• 聚类多任务学习

• 多任务聚类

  • Self-Paced Multi-Task Clustering

• 联邦多任务学习

  • Federated Multi-Task Learning

• 模型保护多任务学习

  • Model-Protected Multi-Task Learning

• 多任务Logistic回归
  • Multi-task logistic regression in brain-computer interfaces
• 多任务贝叶斯方法
  • Parametric Bayesian multi-task learning for modeling biomarker trajectories
  • Kernelized Bayesian Multitask Learning
  • BMTMKL: Bayesian Multitask Multiple Kernel Learning
• 多任务高斯过程
  • Multi-task Gaussian process (MTGP)
  • Gaussian process multi-task learning
• 多任务核方法
• 深度多任务学习
• 在线多任务学习
  • Online Multi-Task Learning Toolkit (OMT) v1.0
• 多任务集成学习
• 多任务强化学习
  • Robust-Multitask-RL

• EE364a: Convex Optimization I Professor Stephen Boyd, Stanford University
• EE227BT: Convex Optimization  —  Fall 2013
• CRAN - Package ADMM