brendenlake/MLC-ML: Meta-Learning for Compositionality (for machine learning benchmarks)

This is an archived version of this github repository . Please see the repo for a README and to check for any updates.

Meta-Learning for Compositionality (MLC) is an optimization procedure that encourages systematicity through a series of few-shot compositional tasks. This repository shows how to apply MLC to the SCAN and COGS machine learning benchmarks.