Apr, 2023
开放世界持续学习:统一新颖性检测和持续学习
Open-World Continual Learning: Unifying Novelty Detection and Continual Learning
Gyuhak Kim, Changnan Xiao, Tatsuya Konishi, Zixuan Ke, Bing Liu
TL;DR论文理论证明了,对于 class incremental learning 来说,out-of-distribution detection 实际上是必需的。因此,一个好的 class incremental learning 算法必须要同时具备良好的 within-task prediction 和 out-of-distribution detection 能力,这将统一 novelty 或 out-of-distribution detection 以及 continual learning.