2025
Provably Improving Generalization of Few-shot models with Synthetic Data
ICML 2025poster
Few-shot image classification remains challenging due to the scarcity of labeled training examples. Augmenting them with synthetic data has emerged as a promising way to alleviate this issue, but models trained on synthetic samples often face performance degradation due to the inherent gap between r…