2021
Poisson-Randomised DirBN: Large Mutation is Needed in Dirichlet Belief Networks
ICML 2021spotlight
The Dirichlet Belief Network (DirBN) was recently proposed as a promising deep generative model to learn interpretable deep latent distributions for objects. However, its current representation capability is limited since its latent distributions across different layers is prone to form similar patt…