多任务学习(Multitask-Learning)相关资料、经典论文、开源代码整理分享

    本文整理了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等等。

    资源整理自网络，源地址：https://github.com/mbs0221/Multitask-Learning

    

    带链接版资源下载地址：

    链接: https://pan.baidu.com/s/1QfS3Vdcw1CZ-kzhx8ohp1Q 

    提取码: n4ug 

学者主页

    oMassimiliano Pontil - UCL

    oYu Zhang (张宇) - HKUST

    oTong Zhang (张潼)- Tencent AI Lab

    oFuzhen Zhuang (庄福振)

    oLei Han's Homepage

    oPattern Recognition & Neural Computing Group - NUAA

    oFei Sha University of Southern California

    oDr Xiaojun Chang – Faculty of Information Technology – Monash University

    oYu-Gang Jiang Prof.

    oZhuoliang Kang Ph.D student, Computer Science, USC

    oShiliang Sun’s Home Page

    oDr. Timothy Hospedales

    oML^2 @ UCF

    oElisa Ricci

    oGjorgji Strezoski

    oMachine Learning with Interdependent and Non-identically Distributed Data

    oSFU Machine Learning Reading Group

Github代码

    oLogistic Regression

    Multi-task logistic regression in brain-computer interfaces

    oBayesian Methods

    Kernelized Bayesian Multitask Learning

    Parametric Bayesian multi-task learning for modeling biomarker trajectories

    Bayesian Multitask Multiple Kernel Learning

    oGaussian Process

    Multi-task Gaussian process (MTGP)

    Gaussian process multi-task learning

    oSparse & 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

    oFederated Multi-Task Learning

    oOnline Learning

    Online Multi-Task Learning Toolkit (OMT) v1.0

    oReinforcement Learning

    Robust-Multitask-Reinforcement Learning

    oPackage & Toolbox

    MALSAR: Multi-task learning via Structural Regularization

    MALSAR package Version 1.1

    Multi Task Learning Package for Matlab

    Package to apply MTL on a few dataset

    Matlab MultiClass MultiTask Learning (MCMTL) toolbox

    Personalized Multitask Learning

经典论文

    oMultitask Learning

    oAn overview of multi-task learning

    oA brief review on multi-task learning

    oMulti-task feature learning by using trace norm regularization

    oMulti-Task Clustering with Model Relation Learning

    oOnline Multitask Learning

    oOnline multitask relative similarity learning

    oNew Directions in Transfer and Multi-Task: Learning Across Domains and Tasks

Arxiv论文

    oA Survey on Multi-Task Learning

    oSelf-Paced Multi-Task Clustering

    oModel-Protected Multi-Task Learning

开源资源

    oTask Sensitive Feature Exploration and Learning for Multi-Task Graph Classification

    oBMTMKL: Bayesian Multitask Multiple Kernel Learning

    oMultitask Learning / Domain Adaptation

    oMultitask Kernel Methods

    oMultitask Deep Learning

工具包

    oMulti-Task Learning: Theory, Algorithms, and Applications

    oAn Tutorial for Regularized Multi-task Learning using the package RMTL

    oSparseMTL Toolbox

    oProbabilistic Machine Learning

Multilabel学习

    •KEEL-dataset repository

凸优化

    •EE364a: Convex Optimization I Professor Stephen Boyd, Stanford University

    •EE227BT: Convex Optimization  —  Fall 2013

    •CRAN - Package ADMM

往期精品内容推荐

期待AI也能实现如此强大功能 - 史上最强solo一键换装

首次公开：阿里年薪60万+的大数据开发全套教程，限时下载

斯坦福NLP组-2019-《CS224n: NLP与深度学习》-分享

免费自然语言处理(NLP)课程及教材分享

斯坦福NLP组-2019-《CS224n: NLP与深度学习》-分享

BERT-基于双向Transformer预训练模型原理详解

UC Berkeley《人工智能基础-2018》课程及视频教程（带中英文字幕）分享

Hinton-符号AI与深度学习区别

免费教材-《数据科学基础-2018》最新版下载

吴恩达 - 如何规划机器学习职业生涯

Geffery Hinton-数字代表模型从数据中抽取的知识、AI不会有寒冬

深度学习与计算机视觉任务应用综述

扫描下方二维码可以订阅哦！

DeepLearning_NLP

深度学习与NLP

       商务合作请联系微信号：lqfarmerlq