F. Lopes

Meta-Learning Algorithms for Rapid Model Adaptation

The present paper researches in-depth the meta-learning algorithm of rapid model adaptation focusing on theoretical background, algorithm frameworks, and implementation to prove that meta-learning algorithms are much better performing than the traditional transfer learning methods under low-data conditions.