BriefGPT.xyz
May, 2022
通过生成框架绕过在线类增量学习中的逻辑偏差
Bypassing Logits Bias in Online Class-Incremental Learning with a Generative Framework
HTML
PDF
Gehui Shen, Shibo Jie, Ziheng Li, Zhi-Hong Deng
TL;DR
本研究提出了一个基于特征空间的生成分类器框架,以解决在线类增量学习中用于避免softmax分类器的数量型偏差问题,并通过广泛实验验证了该框架的有效性。
Abstract
continual learning
requires the model to maintain the learned knowledge while learning from a non-i.i.d data stream continually. Due to the single-pass training setting, online
continual learning
is very challeng
→