Learning to Reason with Neural Module Networks

I feel like the module approach makes sense. Once composing and training modules are easier for a non-researcher I think it will be a big win for machine learning.

I see immense value in pretrained modules being composed in novel ways to adapt to new problems, similar to the way in computer vision pretrained networks can greatly speed up adapting to a new domain.