Renkun Ni

Data Augmentation for Meta-Learning

2020 · arXiv (Cornell University)

Conventional image classifiers are trained by randomly sampling mini-batches of images. To achieve state-of-the-art performance, practitioners use sophisticated data augmentation schemes to expand the amount of training data available for sampling. In contrast, meta-learning algorithms …