2016
Asymmetric Multi-task Learning Based on Task Relatedness and Loss
ICML 2016poster
We propose a novel multi-task learning method that can minimize the effect of negative transfer by allowing asymmetric transfer between the tasks based on task relatedness as well as the amount of individual task losses, which we refer to as Asymmetric Multi-task Learning (AMTL). To tackle this prob…