BriefGPT.xyz
Jul, 2020
La-MAML: 前瞻元学习用于连续学习
La-MAML: Look-ahead Meta Learning for Continual Learning
HTML
PDF
Gunshi Gupta, Karmesh Yadav, Liam Paull
TL;DR
本文提出了Look-ahead MAML算法及其在在线连续学习中的应用,通过调整元学习更新中每个参数的学习率实现更灵活、高效的控制灾难性遗忘,并在实际视觉分类任务中取得了优异的性能。
Abstract
The
continual learning
problem involves training models with limited capacity to perform well on a set of an unknown number of sequentially arriving tasks. While
meta-learning
shows great potential for reducing i
→