In this work, we start by analyzing the learning dynamics of PEFT techniques when trained on few-shot data from only a subset of categories, referred to as the “base” classes. We show that such ...

This repository implements a Model-Agnostic Meta-Learning (MAML) algorithm for few-shot image classification tasks using PyTorch. MAML is designed to address the challenge of adapting to new tasks ...