NLP and more broadly this this kind of entire area of studying similarity between deep representations has quite a lot of people who have been thinking about it so we're I'm mostly gonna be talking about using CCA but the first paper here was probably this paper called convergent learning by Lee Osinski Kuhn Lipson and Hopcroft in ic LR 2016 where instead of dealing with the distributed problem they just tried to find nice one-to-one mappings between between neurons and different networks then we kind of followed up with some of