Semantic alignment with self-supervision for class incremental learning

Sharpness-aware gradient guidance for few-shot class-incremental learning

R Chen, XY **g, F Wu, H Chen - Knowledge-Based Systems, 2024 - Elsevier
Few-shot class-incremental learning (FSCIL) is a challenge that requires a model to learn
new classes from limited examples without forgetting the learned knowledge. A common …
Запазване Позоваване С позовавания в 2 Сродни статии Всички 2 версии

Class incremental learning with KL constraint and multi-strategy exemplar selection for classification based on MMFA model

Y Li, L Du, J Chen - Information Sciences, 2024 - Elsevier
Class incremental learning (CIL) can learn new classes continuously by updating the model
rather than retraining a model from scratch with all seen classes like traditional offline …
Запазване Позоваване Сродни статии Всички 2 версии