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Clustering using neural networks has recently demonstrated promising performance in machine learning and computer vision applications.
Gradient-based learning applied to document recognition
Y. LeCun, L. Bottou, Y. Bengio, and P. Haffner · 1998
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Semi-supervised clustering by seeding
S. Basu, A. Banerjee, and R. Mooney · 2002
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The cmu pose, illumination, and expression (pie) database
T. Sim, S. Baker, and M. Bsat · 2002
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Distance metric learning with application to clustering with side-information
E. P. Xing, M. I. Jordan, S. J. Russell, and A. Y. Ng · 2003
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Integrating constraints and metric learning in semi-supervised clustering
M. Bilenko, S. Basu, and R. J. Mooney · 2004
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Entropy regularization
Y. Grandvalet and Y. Bengio · 2006
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Face recognition in unconstrained videos with matched background similarity
L. Wolf, T. Hassner, and I. Maoz · 2011
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Imagenet classification with deep convolutional neural networks
A. Krizhevsky, I. Sutskever, and G. E. Hinton · 2012
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Pseudo-label: The simple and efficient semi-supervised learning method for deep neural networks
D.-H. Lee · 2013
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Rich feature hierarchies for accurate object detection and semantic segmentation
R. Girshick, J. Donahue, T. Darrell, and J. Malik · 2014
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Simultaneous detection and segmentation
B. Hariharan, P. Arbeláez, R. Girshick, and J. Malik · 2014
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Semi-supervised learning with deep generative models
D. P. Kingma, S. Mohamed, D. J. Rezende, and M. Welling · 2014
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Neural network-based clustering using pairwise constraints
Y.-C. Hsu and Z. Kira · 2015
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Semi-supervised learning with ladder networks
A. Rasmus, M. Berglund, M. Honkala, H. Valpola, and T. Raiko · 2015
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Semi-supervised learning with ladder networks
A. Rasmus, M. Berglund, M. Honkala, H. Valpola, and T. Raiko · 2015
Towards k-means-friendly spaces: Simultaneous deep learning and clustering
B. Yang, X. Fu, N. D. Sidiropoulos, and M. Hong · 2016
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Joint unsupervised learning of deep representations and image clusters
J. Yang, D. Parikh, and D. Batra · 2016
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Deep clustering via joint convolutional autoencoder embedding and relative entropy minimization
K. G. Dizaji, A. Herandi, C. Deng, W. Cai, and H. Huang · 2017
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Improved deep embedded clustering with local structure preservation
X. Guo, L. Gao, X. Liu, and J. Yin · 2017
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Deep clustering with convolutional autoencoders
X. Guo, X. Liu, E. Zhu, and J. Yin · 2017
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Deep spectral clustering learning
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Stacked what-where auto-encoders
J. J. Zhao, M. Mathieu, R. Goroshin, and Y. LeCun · 2015
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Unsupervised deep embedding for clustering analysis
J. Xie, R. Girshick, and A. Farhadi · 2016
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M. T. Law, R. Urtasun, and R. S. Zemel · 2017
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Deep metric learning via facility location
H. O. Song, S. Jegelka, V. Rathod, and K. Murphy · 2017
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Clustering-driven deep embedding with pairwise constraints
S. Fogel, H. Averbuch-Elor, J. Goldberger, and D. Cohen-Or · 2018
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