Multimodal Deep Learning, Autoencoder, Gan, Vae.
probabilistic approach to approximate posterior inference. The model is trained to maximize a lower bound on the log-likelihood of the data. This lower bound includes the reconstruction term and the KL divergence term, which serve to balance the trade-off between data fidelity and regularization.