2025
Improving Generalization in Meta-Learning via Meta-Gradient Augmentation
IJCAI 2025
Meta-learning methods typically follow a two-loop framework, where each loop potentially suffers from notorious overfitting, hindering rapid adaptation and generalization to new tasks. Existing methods address this by enhancing the mutual-exclusivity or diversity of training samples, but these data