Investigating and Mitigating the Side Effects of Noisy Views for Self-Supervised Clustering Algorithms in Practical Multi-View Scenarios

30 March 2023

Papers citing "Investigating and Mitigating the Side Effects of Noisy Views for Self-Supervised Clustering Algorithms in Practical Multi-View Scenarios"

6 / 6 papers shown

Title
Reliable Disentanglement Multi-view Learning Against View Adversarial Attacks Xuyang Wang Siyuan Duan Qizhi Li Guiduo Duan Yuan Sun Dezhong Peng AAML EDL 51 0 0 07 May 2025
Hierarchical Consensus Network for Multiview Feature Learning Chengwei Xia Chaoxi Niu Kun Zhan 60 0 0 04 Feb 2025
Mask-informed Deep Contrastive Incomplete Multi-view Clustering Zhenglai Li Yuqi Shi Xiao He Chang-Fu Tang 77 0 0 04 Feb 2025
Balanced Multi-view Clustering Zhenglai Li Jun Wang Chang-Fu Tang Xinzhong Zhu Wei Zhang Xinwang Liu 74 0 0 05 Jan 2025
ELU-GCN: Effectively Label-Utilizing Graph Convolutional Network Jincheng Huang Yujie Mo Xiaoshuang Shi Lei Feng Xiaofeng Zhu 29 0 0 04 Nov 2024
Bridging Gaps: Federated Multi-View Clustering in Heterogeneous Hybrid Views Xinyue Chen Yazhou Ren Jie Xu Fangfei Lin X. Pu Yang Yang FedML 18 0 0 12 Oct 2024