2 papers
cs.LG2024
Effective Decision Boundary Learning for Class Incremental Learning
Kunchi Li, Jun Wan, Shan Yu
Rehearsal approaches in class incremental learning (CIL) suffer from decision boundary overfitting to new classes, which is mainly caused by two factors: insufficiency of old class…
cs.LG2024
Out-of-distribution forgetting: vulnerability of continual learning to intra-class distribution shift
Liangxuan Guo, Yang Chen, Shan Yu
Continual learning (CL) is an important technique to allow artificial neural networks to work in open environments. CL enables a system to learn new tasks without severe interferen…