2026
Bayes-inspired Integration of Pretrained Priors and Few-Shot Evidence for Few-Shot Classification
ICML 2026poster
Few-shot classification aims to adapt a pretrained model to novel classes with limited examples. While current methods often heuristically combine pretrained knowledge and few-shot evidence, we seek a more principled understanding of their relationship. In this paper, we propose a Bayesian-inspired …