33 citations · 140 across the 19 of their papers we have counts for
3 papers · 1 filter
Deep Variational Clustering Framework for Self-labeling of Large-scale Medical Images
Farzin Soleymani, Mohammad Eslami, Tobias Elze +2
We propose a Deep Variational Clustering (DVC) framework for unsupervised representation learning and clustering of large-scale medical images. DVC simultaneously learns the multiv…
Deep Bregman Divergence for Contrastive Learning of Visual Representations
Mina Rezaei, Farzin Soleymani, Bernd Bischl +1
Deep Bregman divergence measures divergence of data points using neural networks which is beyond Euclidean distance and capable of capturing divergence over distributions. In this…
Joint Debiased Representation Learning and Imbalanced Data Clustering
Mina Rezaei, Emilio Dorigatti, David Ruegamer +1
One of the most promising approaches for unsupervised learning is combining deep representation learning and deep clustering. Some recent works propose to simultaneously learn repr…