Preventing posterior collapse in variational autoencoders for text generation via decoder regularization

Alban Petit, Caio Corro

Variational autoencoders trained to minimize the reconstruction error are sensitive to the posterior collapse problem, that is the proposal posterior distribution is always equal t…