BriefGPT.xyz
May, 2018
迈向稳健的持续学习评估
Towards Robust Evaluations of Continual Learning
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Sebastian Farquhar, Yarin Gal
TL;DR
针对目前连续学习研究中存在的实验不够真实的问题,文章提出了连续学习评估的几个重要方面,并介绍了新的实验设计方法,以准确地评估不同的连续学习方法和数据集,建议学界重新分配研究方向。
Abstract
continual learning
experiments used in current deep learning papers do not faithfully assess fundamental challenges of learning continually, masking weak-points of the suggested approaches instead. We study gaps in such existing
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