Lifelong learning is a difficult challenge for AI systems because it requires the system to be able to identify and exploit new patterns in data in order to improve its performance. There are several approaches that have been proposed to tackle the lifelong learning challenge, including representation learning, meta-learning, and neural architecture search. Each of…
Tag: meta-learning
Meta-learning
Meta-learning is a subfield of machine learning that focuses on developing algorithms that can learn from data and improve their performance over time. The goal of meta-learning is to design models that can quickly adapt to new tasks and environments. Meta-learning algorithms are typically based on deep learning models that learn from large amounts of…