Multi-View Clustering Papers

Collections for the lasted paper about multi-view clustering methods (papers, codes). There also exists some repositories related to Multi-View Clustering Paper. Such as awesome-multi-view-clustering. The difference is that this repository is a list of papers and just a little analysis on them. Hope that receive your 'PR bombs'.

Besides, the directory 'data loader' is a simple coda base that is used to construct multi-view dataset object. Glad to receive your advice to improve it.

Note: some paper is not about Multi-View clustering but is related to Multi-View learning. I think it may be helpful for new ideas about Multi-View Clustering tasks.

Todo list

• link of code
• more deeper analysis
• More related paper
• The introduction of each data set
• The properties of each data set
• More related data
• ...

So many exciting work to do. We are glad to receive your pull request and contribution.

Survey papers

1. [IEEE 2021] A Survey on Multiview Clustering Paper
2. [KBS 2019] A study of graph-based system for multi-view clustering Paper code
3. [IEEE 2018] Multi-view clustering: A survey Paper
4. [arXiv 2013] A survey on multi-view learning Paper

Papers

• [IJCAI 2019] Deep Adversarial Multi-view Clustering Network Paper
• [IEEE 2018] Partial Multi-view Clustering via Consistent GAN Paper
• [ ] Megan: A generative adversarial network for multi-view network embedding Paper
• [TMM 2021] Consensus Graph Learning for Multi-view Clustering Paper
• [IJCAI 2019] Deep Adversarial Multi-view Clustering Network Paper
• [ICDE 2020] A Novel Approach to Learning Consensus and Complementary Information for Multi-View Data Clustering Paper
• [ICML 2019] COMIC: Multi-view Clustering Without Parameter Selection Paper
• [IEEE 2021] Dual Alignment Self-Supervised Incomplete Multi-View Subspace Clustering Network Paper
• [CVPR 2020] End-to-End Adversarial-Attention Network for Multi-Modal Clustering Paper
• [AAAI 2021] Fast Multi-view Discrete Clustering with Anchor Graphs Paper
• [IJCAI 2019] Flexible Multi-View Representation Learning for Subspace Clustering Paper
• [IJCAI 2019] Multi-View Attribute Graph Convolution Networks for Clustering Paper
• [arXiv 2021] Multi-view Clustering via Deep Matrix Factorization and Partition Alignment Paper
• [IJCAI 2019] Multi-view Clustering via Late Fusion Alignment Maximization Paper
• [AAAI 2021] Multi-View Representation Learning with Manifold Smoothness Paper
• [IJCAI 2019] Multi-view Spectral Clustering Network Paper
• [arXiv 2021] Non-Linear Fusion for Self-Paced Multi-View Clustering Paper
• [ICML 2021] One Pass Late Fusion Multi-view Clustering Paper
• [ICCV 2021] One-pass Multi-view Clustering for Large-scale Data Paper

Incomplete Multi-View Clustering

• [TPAMI 2021] Deep Partial Multi-View Learning Paper
• [CVPR 2021] COMPLETER: Incomplete Multi-view Clustering via Contrastive Prediction Paper
• [CVPR 2021] Reconsidering Representation Alignment for Multi-view Clustering Paper
• [AAAI 2021] Unified Tensor Framework for Incomplete Multi-view Clustering and Missing-view Inferring Paper
• [IJCAI 2019] Adversarial Incomplete Multi-view Clustering Paper
• [ICDM 2020] Deep Incomplete Multi-View Multiple Clustering Papers
• [IJCAI 2019] Simultaneous Representation Learning and Clustering for Incomplete Multi-view Data Paper

Multi-View Representation Learning

• [AAAI 2021] Multi-View Information-Bottleneck Representation Learning Paper
• [AAAI 2021] Uncertainty-Aware Multi-View Representation Learning Paper

Outlier Detection

• [AAAI 2021] Neighborhood Consensus Networks for Unsupervised Multi-view Outlier Detection Paper

Others: may be related

• [CVPR 2020] Multi-view Self-Constructing Graph Convolutional Networks with Adaptive Class Weighting Loss for Semantic Segmentation Paper
• [ICML 2021] Decomposed Mutual Information Estimation for Contrastive Representation Learning Paper
• [NeurIPS] What Makes Multi-modal Learning Better than Single (Provably) Paper
• [NeurIPS 2020] Removing Bias in Multi-modal Classifiers: Regularization by Maximizing Functional Entropies Paper
• [ICML 2020] Representation Learning via Adversarially-Contrastive Optimal Transport Paper
• [CVPR 2020] What Makes Training Multi-modal Classification Networks Hard? Paper
• [TKDE 2021] Cross-view Locality Preserved Diversity and Consensus Learning for Multi-view Unsupervised Feature Selection Paper

Data Set

Some data is so big that we can not upload to Github. But you can get them by Baidu Service. link code：g9zv