Multitask-Learning

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~

• Homepage
  • 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
  • Multi-task logistic regression in brain-computer interfaces
  • Multi-task feature learning
  • Calibrated Multi-Task Learning Based on Non-convex Low Rank
  • Bayesian multi-task learning based parametric trajectory model
  • Parametric Bayesian multi-task learning for modeling biomarker trajectories
  • Kernelized Bayesian Multitask Learning
  • Multi-task Gaussian process (MTGP)
  • Gaussian process multi-task learning
  • Asymmetric Multi-Task Learning
  • Hierarchical_Multi_Task_Learning
  • Asynchronous Multi-Task Learning
  • Asymmetric Multi-Task Learning
  • HMTL: Hierarchical Multi-Task Learning
  • Multi-task_Survival_Analysis
  • Federated Multi-Task Learning
  • Online Multi-Task Learning Toolkit (OMT) v1.0
  • Robust-Multitask-Reinforcement Learning
  • Variable Selection and Task Grouping for Multi-Task Learning (VSTG-MTL)
  • MALSAR: Multi-task learning via Structural Regularization
  • Multi Task Learning Package for Matlab
  • Matlab MultiClass MultiTask Learning (MCMTL) toolbox
• Papers
  • Multitask Learning
  • An overview of multi-task learning
  • A brief review on 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
• Arxiv
  • A Survey on Multi-Task Learning
  • Self-Paced Multi-Task Clustering
  • Model-Protected Multi-Task Learning
• Resources
  • Task Sensitive Feature Exploration and Learning for Multi-Task Graph Classification
  • BMTMKL: Bayesian Multitask Multiple Kernel Learning
  • Multitask Learning / Domain Adaptation
  • Multitask Kernel Methods
  • Multitask Deep Learning
• Package & Toolbox
  • Multi-Task Learning: Theory, Algorithms, and Applications
  • An Tutorial for Regularized Multi-task Learning using the package RMTL
  • SparseMTL Toolbox
  • Probabilistic Machine Learning

Multilabel learning

• KEEL-dataset repository

Convex Optimization

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