Supervised Vector Quantized Variational Autoencoder for Learning Interpretable Global Representations

Yifan Xue, Michael Ding, Xinghua Lu

Learning interpretable representations of data remains a central challenge in deep learning. When training a deep generative model, the observed data are often associated with cert…