What is cl-meta?

Answer 1

CL-Meta refers to a framework or approach that integrates meta-learning techniques within the context of continual learning (CL). It aims to enhance the ability of machine learning models to adapt and learn from new tasks over time without forgetting previous knowledge. By leveraging meta-learning strategies, CL-Meta seeks to improve efficiency and robustness in learning systems, enabling them to better generalize across various tasks and environments.