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Deep Clustering: methods and implements

Survey Paper Conference Code
A Survey of Clustering With Deep Learning: From the Perspective of Network Architecture IEEE ACCESS 2018
Clustering with Deep Learning: Taxonomy and New Methods Arxiv 2018 Theano
Pre-print Paper Method Conference Code
Deep Clustering and Representation Learning with Geometric Structure Preservation DCRL Arxiv 2021 -
Deep Clustering with Self-supervision using Pairwise Data Similarities DCSS TechRxiv 2021 Pytorch
SPICE: Semantic Pseudo-labeling for Image Clustering SPICE Arxiv 2021 Pytorch
DHOG: Deep Hierarchical Object Grouping DHOG Arxiv 2020 -
Unsupervised Feature Learning by Cross-Level Instance-Group Discrimination CLD Arxiv 2020 Pytorch
Deep Robust Clustering by Contrastive Learning DRC Arxiv 2020
Un-Mix: Rethinking Image Mixture for Unsupervised Visual Representation Learning Un-Mix Arxiv 2020 Pytorch
An Efficient Framework for Clustered Federated Learning IFCA Arxiv 2020 Pytorch
Differentiable Deep Clustering with Cluster Size Constraints - Arxiv 2019 -
Deep Continuous Clustering DCC Arxiv 2018 Pytorch
Clustering-driven Deep Embedding with Pairwise Constraints CPAC Arxiv 2018 Pytorch
Deep Temporal Clustering : Fully Unsupervised Learning of Time-Domain Features DTC Arxiv 2018 Keras
Graph Clustering with Dynamic Embedding GRACE Arxiv 2017
Deep Unsupervised Clustering Using Mixture of Autoencoders MIXAE Arxiv 2017
Discriminatively Boosted Image Clustering with Fully Convolutional Auto-Encoders DBC Arxiv 2017
Deep Clustering Network DCN Arxiv 2016 Theano
Paper Method Conference Code
Multi-Facet Clustering Variational Autoencoders MFCVAE NeurIPS 2021 Pytorch
Clustering by Maximizing Mutual Information Across Views CRLC ICCV 2021 -
Nearest Neighbor Matching for Deep Clustering NNM CVPR 2021 Pytorch
Jigsaw Clustering for Unsupervised Visual Representation Learning JigsawClustering CVPR 2021 Pytorch
COMPLETER: Incomplete Multi-view Clustering via Contrastive Prediction COMPLETER CVPR 2021 Pytorch
Reconsidering Representation Alignment for Multi-view Clustering SiMVC & CoMVC CVPR 2021 Pytorch
Double low-rank representation with projection distance penalty for clustering DLRRPD CVPR 2021 Matlab
Improving Unsupervised Image Clustering With Robust Learning RUC CVPR 2021 Pytorch
Learning a Self-Expressive Network for Subspace Clustering SENet CVPR 2021 -
Cluster-wise Hierarchical Generative Model for Deep Amortized Clustering CHiGac CVPR 2021 -
Refining Pseudo Labels with Clustering Consensus over Generations for Unsupervised Object Re-identification RLCC CVPR 2021 -
Prototypical Contrastive Learning of Unsupervised Representations PCL ICLR 2021 Pytorch
Contrastive Clustering CC AAAI2021 Pytorch
Clustering-friendly Representation Learning via Instance Discrimination and Feature Decorrelation IDFD ICLR2021 Pytorch
MiCE: Mixture of Contrastive Experts for Unsupervised Image Clustering MiCE ICLR2021 Pytorch
Deep clustering with a Dynamic Autoencoder: From reconstruction towards centroids construction DynAE NN 2020 TensorFlow
Adversarial Deep Embedded Clustering: on a better trade-off between Feature Randomness and Feature Drift ADEC TKDE 2020 -
Mitigating Embedding and Class Assignment Mismatch in Unsupervised Image Classification TSUC ECCV 2020 Pytorch
Variational Clustering: Leveraging Variational Autoencoders for Image Clustering - IJCNN 2020 -
GATCluster: Self-Supervised Gaussian-Attention Network for Image Clustering GATCluster ECCV 2020 Pytorch
Deep Image Clustering with Category-Style Representation DCCS ECCV 2020 Pytorch
MPCC: Matching Priors and Conditionals for Clustering MPCC ECCV 2020 Pytorch
Deep Subspace Clustering with Data Augmentation DSCwithDA NIPS2020 Pytorch
SCAN: Learning to Classify Images without Labels SCAN ECCV2020 Pytorch
Deep Transformation-Invariant Clustering DTI NIPS2020 Pytorch
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments SwAV NIPS2020 PyTorch
Adversarial Learning for Robust Deep Clustering ALRDC NIPS 2020 Keras
Learning to Cluster under Domain Shift ACIDS ECCV 2020 Pytorch
Deep Semantic Clustering by Partition Confidence Maximisation PICA CVPR 2020 Pytorch
Online Deep Clustering for Unsupervised Representation Learning ODC CVPR 2020 Python
Improving k-Means Clustering Performance with Disentangled Internal Representations Annealing SNNL IJCNN 2020 PyTorch
N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding. N2D ICPR 2020 TensorFlow
Unsupervised Clustering using Pseudo-semi-supervised Learning Kingdra ICLR 2020 Keras
Spectral Clustering with Graph Neural Networks for Graph Pooling - ICML 2020 TensorFlow
Self-labelling via simultaneous clustering and representation learning SeLa ICLR2020 Pytorch
Deep clustering: On the link between discriminative models and K-means SoftK-means TPAMI 2020 Python
Image Clustering via Deep Embedded Dimensionality Reduction and Probability-Based Triplet Loss DERC TIP2020 TensorFlow
Structural Deep Clustering Network SDCN WWW 2020 Pytorch
Attributed Graph Clustering: A Deep Attentional Embedding Approach DAEGC IJCAI 2019
Optimal Sampling and Clustering in the Stochastic Block Model NIPS 2019 Python
Selective Sampling-based Scalable Sparse Subspace Clustering S5C NIPS 2019 MATLAB
Learning Latent Superstructures in Variational Autoencoders for Deep Multidimensional Clustering LTVAE ICLR 2019 Pytorch
Balanced Self-Paced Learning for Generative Adversarial Clustering Network ClusterGAN CVPR2019
Adaptive Self-paced Deep Clustering with Data Augmentation ASPC-DA TKDE 2019 TensorFlow
Learning to Cluster Faces on an Affinity Graph LTC CVPR 2019 Pytorch
Video Face Clustering with Unknown Number of Clusters BCL ICCV 2019 Pytorch
ClusterSLAM: A SLAM Backend for Simultaneous Rigid Body ClusterSLAM ICCV 2019
Deep Clustering by Gaussian Mixture Variational Autoencoders with Graph Embedding DGG ICCV 2019 Pytorch
Deep Comprehensive Correlation Mining for Image Clustering DCCM ICCV 2019 Pytorch
Invariant Information Clustering for Unsupervised Image Classification and Segmentation IIC ICCV 2019 Pytorch
Subspace Structure-aware Spectral Clustering for Robust Subspace Clustering ICCV 2019
Is an Affine Constraint Needed for Affine Subspace Clustering? ICCV 2019
Deep Spectral Clustering using Dual Autoencoder Network ICCV 2019 Tensorflow
Learning to Discover Novel Visual Categories via Deep Transfer Clustering DTC ICCV 2019 Pytorch
Reciprocal Multi-Layer Subspace Learning for Multi-View Clustering RMSL ICCV 2019
GEMSEC: Graph Embedding with Self Clustering GEMSEC ASONAM 2019 TensorFlow
ClusterGAN: Latent Space Clustering in Generative Adversarial Networks ClusterGAN AAAI 2019 TensorFlow
Adversarial Graph Embedding for Ensemble Clustering AGAE IJCAI 2019
A Hybrid Autoencoder Network for Unsupervised Image Clustering Algorithms 2019
A Deep Clustering Algorithm based on Gaussian Mixture Model Journal of Physics: Conference Series 2019
Clustering Meets Implicit Generative Models ICLR 2019 workshop
Deep Embedded Clustering with Data Augmentation DEC-DA ACML 2018 TensorFlow
Deep Clustering for Unsupervised Learning of Visual Features DeepCluster ECCV 2018 Pytorch
Deep Clustering with Convolutional Autoencoders DCEC ICONIP 2018 Keras
SpectralNet: Spectral Clustering Using Deep Neural Networks SpectralNet ICLR 2018 TensorFlow
Subspace clustering using a low-rank constrained autoencoder LRAE Information Science 2018
Unsupervised Multi-Manifold Clustering by Learning Deep Representation DMC AAAI 2017 Workshop
Deep Discriminative Latent Space for Clustering NIPS 2017
Towards K-means-friendly Spaces: Simultaneous Deep Learning and Clustering DCN PMLR 2017 Theano
Deep Unsupervised Clustering With Gaussian Mixture Variational AutoEncoders GMVAE ICLR 2017 Lua
Is Simple Better?: Revisiting Simple Generative Models for Unsupervised Clustering NIPS 2017 Workshop Pytorch
Improved Deep Embedded Clustering with Local Structure Preservation IDEC IJCAI 2017 Keras Pytorch
Deep Clustering via joint convolutional autoencoder embedding and relative entropy minimization DEPICT ICCV 2017 Theano
Deep Adaptive Image Clustering DAC ICCV 2017 Keras
Variational Deep Embedding: An Unsupervised and Generative Approach to Clustering VaDE IJCAI 2017 Keras
Deep Subspace Clustering Networks DSC-Nets NIPS 2017 TensorFlow
CNN-Based Joint Clustering and Representation Learning with Feature Drift Compensation for Large-Scale Image Data IEEE Transactions on Multimedia 2017
Learning Discrete Representations via Information Maximizing Self-Augmented Training IMSAT ICML 2017 Python
Unsupervised Deep Embedding for Clustering Analysis DEC ICML 2016 Caffe TensorFlow
Joint Unsupervised Learning of Deep Representations and Image Clustering JULE CVPR 2016 Torch
Deep Embedding Network for Clustering DEN ICPR 2014
Learning Deep Representations for Graph Clustering AAAI 2014 Python
Auto-encoder Based Data Clustering ABDC CIARP 2013 Pytorch
Discriminative Clustering by Regularized Information Maximization RIM NIPS 2010

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