Three years ago, we released the Omniglot dataset for one-shot learning, along with five
challenge tasks and a computational model that addresses these tasks. The model was not
meant to be the final word on Omniglot; we hoped that the community would build on our
work and develop new approaches. In the time since, we have been pleased to see wide
adoption of the dataset. There has been notable progress on one-shot classification, but
researchers have adopted new splits and procedures that make the task easier. There has …