Rafael Peres da Silva

Task Uncertainty Loss Reduce Negative Transfer in Asymmetric Multi-task\n Feature Learning

2020 · arXiv (Cornell University)

Multi-task learning (MTL) is frequently used in settings where a target task\nhas to be learnt based on limited training data, but knowledge can be leveraged\nfrom related auxiliary tasks. While MTL can improve task performance overall\nrelative …