Probabilistic Transformers
2020-10-15Code Available1· sign in to hype
Javier R. Movellan
Code Available — Be the first to reproduce this paper.
ReproduceCode
- github.com/apple/ml-probabilistic-attentionpytorch★ 33
Abstract
We show that Transformers are Maximum Posterior Probability estimators for Mixtures of Gaussian Models. This brings a probabilistic point of view to Transformers and suggests extensions to other probabilistic cases.