Review for NeurIPS paper: The Advantage of Conditional Meta-Learning for Biased Regularization and Fine Tuning

However, this sentence does feel a bit problematic. Fine tuning is simply an adaptation method, and biased regularization is a regularizer for meta-learning. I'd say at best, these are building blocks for meta-learning algorithms.