Self-Supervised Interpretable End-to-End Learning via Latent Functional Modularity

Hyunki Seong, David Hyunchul Shim

We introduce MoNet, a novel functionally modular network for self-supervised and interpretable end-to-end learning. By leveraging its functional modularity with a latent-guided con…