Investigating and Mitigating the Side Effects of Noisy Views for Self-Supervised Clustering Algorithms in Practical Multi-View Scenarios
Fuente:
arXiv
Saved in:
| Main Authors: | Xu, Jie, Ren, Yazhou, Wang, Xiaolong, Feng, Lei, Zhang, Zheng, Niu, Gang, Zhu, Xiaofeng |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Self-Supervised Discriminative Feature Learning for Deep Multi-View Clustering
by: Xu, Jie, et al.
Published: (2021)
by: Xu, Jie, et al.
Published: (2021)
Bridging Gaps: Federated Multi-View Clustering in Heterogeneous Hybrid Views
by: Chen, Xinyue, et al.
Published: (2024)
by: Chen, Xinyue, et al.
Published: (2024)
Missing Pattern Tree based Decision Grouping and Ensemble for Enhancing Pair Utilization in Deep Incomplete Multi-View Clustering
by: Xu, Jie, et al.
Published: (2025)
by: Xu, Jie, et al.
Published: (2025)
Robust Multi-View Learning via Representation Fusion of Sample-Level Attention and Alignment of Simulated Perturbation
by: Xu, Jie, et al.
Published: (2025)
by: Xu, Jie, et al.
Published: (2025)
Variational Graph Generator for Multi-View Graph Clustering
by: Chen, Jianpeng, et al.
Published: (2022)
by: Chen, Jianpeng, et al.
Published: (2022)
Clusterability-Based Assessment of Potentially Noisy Views for Multi-View Clustering
by: Jiang, Mudi, et al.
Published: (2026)
by: Jiang, Mudi, et al.
Published: (2026)
S^2MVTC: a Simple yet Efficient Scalable Multi-View Tensor Clustering
by: Long, Zhen, et al.
Published: (2024)
by: Long, Zhen, et al.
Published: (2024)
Self Supervised Correlation-based Permutations for Multi-View Clustering
by: Eisenberg, Ran, et al.
Published: (2024)
by: Eisenberg, Ran, et al.
Published: (2024)
SiMilarity-Enhanced Homophily for Multi-View Heterophilous Graph Clustering
by: Chen, Jianpeng, et al.
Published: (2024)
by: Chen, Jianpeng, et al.
Published: (2024)
Dual-Optimized Adaptive Graph Reconstruction for Multi-View Graph Clustering
by: Wen, Zichen, et al.
Published: (2024)
by: Wen, Zichen, et al.
Published: (2024)
Global-Graph Guided and Local-Graph Weighted Contrastive Learning for Unified Clustering on Incomplete and Noise Multi-View Data
by: He, Hongqing, et al.
Published: (2025)
by: He, Hongqing, et al.
Published: (2025)
Homophily-Related: Adaptive Hybrid Graph Filter for Multi-View Graph Clustering
by: Wen, Zichen, et al.
Published: (2024)
by: Wen, Zichen, et al.
Published: (2024)
MVEB: Self-Supervised Learning with Multi-View Entropy Bottleneck
by: Wen, Liangjian, et al.
Published: (2024)
by: Wen, Liangjian, et al.
Published: (2024)
Enhanced Federated Deep Multi-View Clustering under Uncertainty Scenario
by: Wei, Bingjun, et al.
Published: (2025)
by: Wei, Bingjun, et al.
Published: (2025)
Multi-View Crowd Counting With Self-Supervised Learning
by: Mo, Hong, et al.
Published: (2025)
by: Mo, Hong, et al.
Published: (2025)
Generative Diffusion Contrastive Network for Multi-View Clustering
by: Zhu, Jian, et al.
Published: (2025)
by: Zhu, Jian, et al.
Published: (2025)
Trusted Mamba Contrastive Network for Multi-View Clustering
by: Zhu, Jian, et al.
Published: (2024)
by: Zhu, Jian, et al.
Published: (2024)
Multi‐View Self‐Supervised Auxiliary Task for Few‐Shot Remote Sensing Classification
by: Baodi Liu, et al.
Published: (2024)
by: Baodi Liu, et al.
Published: (2024)
Structure-guided Deep Multi-View Clustering
by: Cui, Jinrong, et al.
Published: (2025)
by: Cui, Jinrong, et al.
Published: (2025)
Fast and Scalable Semi-Supervised Learning for Multi-View Subspace Clustering
by: Ling, Huaming, et al.
Published: (2024)
by: Ling, Huaming, et al.
Published: (2024)
SSL-Cleanse: Trojan Detection and Mitigation in Self-Supervised Learning
by: Zheng, Mengxin, et al.
Published: (2023)
by: Zheng, Mengxin, et al.
Published: (2023)
Self-Supervised Partial Cycle-Consistency for Multi-View Matching
by: Taggenbrock, Fedor, et al.
Published: (2025)
by: Taggenbrock, Fedor, et al.
Published: (2025)
Multi‐View Clustering Based on Intra‐View Heterogeneity and Inter‐View Compatibility
by: Zhangshu Xiao, et al.
Published: (2025)
by: Zhangshu Xiao, et al.
Published: (2025)
Interpretable Multi-View Clustering
by: Jiang, Mudi, et al.
Published: (2024)
by: Jiang, Mudi, et al.
Published: (2024)
Information Maximization Clustering via Multi-View Self-Labelling
by: Ntelemis, Foivos, et al.
Published: (2021)
by: Ntelemis, Foivos, et al.
Published: (2021)
Multi-View Spectral Clustering for Graphs with Multiple View Structures
by: Tsitsikas, Yorgos, et al.
Published: (2025)
by: Tsitsikas, Yorgos, et al.
Published: (2025)
RAC-DMVC: Reliability-Aware Contrastive Deep Multi-View Clustering under Multi-Source Noise
by: Dong, Shihao, et al.
Published: (2025)
by: Dong, Shihao, et al.
Published: (2025)
Towards Cross-View-Consistent Self-Supervised Surround Depth Estimation
by: Ding, Laiyan, et al.
Published: (2024)
by: Ding, Laiyan, et al.
Published: (2024)
Self-Supervised Uncalibrated Multi-View Video Anonymization in the Operating Room
by: Chen, Keqi, et al.
Published: (2026)
by: Chen, Keqi, et al.
Published: (2026)
Self-Supervised Multi-View Learning for Disentangled Music Audio Representations
by: Wilkins, Julia, et al.
Published: (2024)
by: Wilkins, Julia, et al.
Published: (2024)
Uncertainty and Self-Supervision in Single-View Depth
by: Rodriguez-Puigvert, Javier
Published: (2024)
by: Rodriguez-Puigvert, Javier
Published: (2024)
Unpaired Multi-view Clustering via Reliable View Guidance
by: Xin, Like, et al.
Published: (2024)
by: Xin, Like, et al.
Published: (2024)
Semi-Supervised Multi-View Crowd Counting by Ranking Multi-View Fusion Models
by: Zhang, Qi, et al.
Published: (2025)
by: Zhang, Qi, et al.
Published: (2025)
A Supervised Variational Autoencoder for Incomplete Multi‐View Classification
by: Yi Xu, et al.
Published: (2025)
by: Yi Xu, et al.
Published: (2025)
Efficient Self‐Guided One‐Pass Multi‐View Subspace Clustering
by: Haoyu Duan, et al.
Published: (2026)
by: Haoyu Duan, et al.
Published: (2026)
WISTERIA: Learning Clinical Representations from Noisy Supervision via Multi-View Consistency in Electronic Health Records
by: Dong, Ruan, et al.
Published: (2026)
by: Dong, Ruan, et al.
Published: (2026)
THCRL: Trusted Hierarchical Contrastive Representation Learning for Multi-View Clustering
by: Zhu, Jian
Published: (2025)
by: Zhu, Jian
Published: (2025)
GenView: Enhancing View Quality with Pretrained Generative Model for Self-Supervised Learning
by: Li, Xiaojie, et al.
Published: (2024)
by: Li, Xiaojie, et al.
Published: (2024)
Adversarial Fair Multi-View Clustering
by: Jiang, Mudi, et al.
Published: (2025)
by: Jiang, Mudi, et al.
Published: (2025)
Automatically Identify and Rectify: Robust Deep Contrastive Multi-view Clustering in Noisy Scenarios
by: Yang, Xihong, et al.
Published: (2025)
by: Yang, Xihong, et al.
Published: (2025)
Similar Items
-
Self-Supervised Discriminative Feature Learning for Deep Multi-View Clustering
by: Xu, Jie, et al.
Published: (2021) -
Bridging Gaps: Federated Multi-View Clustering in Heterogeneous Hybrid Views
by: Chen, Xinyue, et al.
Published: (2024) -
Missing Pattern Tree based Decision Grouping and Ensemble for Enhancing Pair Utilization in Deep Incomplete Multi-View Clustering
by: Xu, Jie, et al.
Published: (2025) -
Robust Multi-View Learning via Representation Fusion of Sample-Level Attention and Alignment of Simulated Perturbation
by: Xu, Jie, et al.
Published: (2025) -
Variational Graph Generator for Multi-View Graph Clustering
by: Chen, Jianpeng, et al.
Published: (2022)