Deep Latent Variable Models

Deep latent variable models are deep neural networks models that have latent variables (latent random variables - that is, unobserved random variables).

• Havrylov et al 2019 - Cooperative Learning of Disjoint Syntax and Semantics Latent variable model that learns a latent parse tree for the ListOps dataset. (cited from Rush 2020 - Torch-Struct)