11 citations · 12 across the 3 of their papers we have counts for
3 papers
Forward-Backward Knowledge Distillation for Continual Clustering
Mohammadreza Sadeghi, Zihan Wang, Narges Armanfard
Unsupervised Continual Learning (UCL) is a burgeoning field in machine learning, focusing on enabling neural networks to sequentially learn tasks without explicit label information…
Deep Clustering with Self-Supervision using Pairwise Similarities
Mohammadreza Sadeghi, Narges Armanfard
Deep clustering incorporates embedding into clustering to find a lower-dimensional space appropriate for clustering. In this paper, we propose a novel deep clustering framework wit…
C3: Cross-instance guided Contrastive Clustering
Mohammadreza Sadeghi, Hadi Hojjati, Narges Armanfard
Clustering is the task of gathering similar data samples into clusters without using any predefined labels. It has been widely studied in machine learning literature, and recent ad…