Jongmin Lim

Data-Centric Meta-Learning for Robust Few-Shot Generalization

Few-shot learning aims to enable rapid adaptation to unseen tasks using limited data. Optimization-based meta-learning addresses this challenge by acquiring shared prior knowledge across diverse tasks. However, its effectiveness degrades in cross-domain scenarios where unseen tasks differ significan