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
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

TIPS

If you find this repository useful to your research or work, it is really appreciate to star this repository.