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.
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.