Enhancing Interpretability of Sparse Latent Representations with Class Information

Farshad Sangari Abiz, Reshad Hosseini, Babak N. Araabi

Variational Autoencoders (VAEs) are powerful generative models for learning latent representations. Standard VAEs generate dispersed and unstructured latent spaces by utilizing all…