Meta-Learning and Few-Shot Learning
Meta-learning, also known as “learning to learn,” is a subfield of machine learning that focuses on developing models or algorithms that can learn how to learn from a set of tasks or domains. The goal of meta-learning is to enable models to acquire new skills or adapt quickly to new tasks with limited data. In […]