1 code implementation • 22 Sep 2021 • Farzin Soleymani, Mohammad Eslami, Tobias Elze, Bernd Bischl, Mina Rezaei
We propose a Deep Variational Clustering (DVC) framework for unsupervised representation learning and clustering of large-scale medical images.
no code implementations • 15 Sep 2021 • Mina Rezaei, Farzin Soleymani, Bernd Bischl, Shekoofeh Azizi
In this paper, we propose deep Bregman divergences for contrastive learning of visual representation where we aim to enhance contrastive loss used in self-supervised learning by training additional networks based on functional Bregman divergence.