Adversarial Consistency-Guided Representation Learning for Multi-view Clustering
ACGRL is proposed, an adversarial consistency-guided representation learning framework for multi-view clustering that employs a gradient-reversal view discriminator to reduce view identifiability and obtain invariant reference representations.
Yu-Chen Lin, Kun-Peng Xu, Ying Fang et al.
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