In this paper, two mixture-prior generative models are proposed, under the objective to produce high-quality hashing codes for documents.
a Gaussian mixture prior is first imposed onto the variational auto-encoder (VAE), followed by a separate step to cast the continuous latent representation of VAE into binary code.