On the Importance of the Kullback-Leibler Divergence Term in Variational Autoencoders for Text Generation

Victor Prokhorov, Ehsan Shareghi, Yingzhen Li +2

Variational Autoencoders (VAEs) are known to suffer from learning uninformative latent representation of the input due to issues such as approximated posterior collapse, or entangl…