Yuanzhe Cai

Hard Sample Aware Robust Contrastive Learning for Multi-View Clustering

Multi-view clustering aims to divide samples into several clusters, by mining and utilizing the consistency and complementarity of multi-view data. Recent years, numerous deep contrastive multi-view clustering methods have been proposed to address the false negative issue by using self-supervised in…