On Better Exploring and Exploiting Task Relationships in Multitask Learning: Joint Model and Feature Learning

Abstract

Multitask learning (MTL) aims to learn multiple tasks simultaneously through the interdependence between different tasks. The way to measure the relatedness between tasks is always a popular issue. There are mainly two ways to measure relatedness between tasks: common parameters sharing and common features sharing across different tasks. However, these two… (More)
DOI: 10.1109/TNNLS.2017.2690683

Topics

8 Figures and Tables

Slides referencing similar topics