Learning Latent Representations in Neural Networks for Clustering through Pseudo Supervision and Graph-based Activity Regularization

8 February 2018

Papers citing "Learning Latent Representations in Neural Networks for Clustering through Pseudo Supervision and Graph-based Activity Regularization"

8 / 8 papers shown

Title
GAR: An efficient and scalable Graph-based Activity Regularization for semi-supervised learning Ozsel Kilinc Ismail Uysal 34 28 0 19 May 2017
Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders Nat Dilokthanakul P. Mediano M. Garnelo M. J. Lee Hugh Salimbeni Kai Arulkumaran Murray Shanahan DRL 82 658 0 08 Nov 2016
Joint Unsupervised Learning of Deep Representations and Image Clusters Jianwei Yang Devi Parikh Dhruv Batra SSL 69 819 0 13 Apr 2016
Unsupervised Deep Embedding for Clustering Analysis Junyuan Xie Ross B. Girshick Ali Farhadi SSL 110 2,889 0 19 Nov 2015
Adversarial Autoencoders Alireza Makhzani Jonathon Shlens Navdeep Jaitly Ian Goodfellow Brendan J. Frey GAN 106 2,228 0 18 Nov 2015
Semi-Supervised Learning with Deep Generative Models Diederik P. Kingma Danilo Jimenez Rezende S. Mohamed Max Welling GAN SSL BDL 107 2,746 0 20 Jun 2014
Natural Language Processing (almost) from Scratch R. Collobert Jason Weston Léon Bottou Michael Karlen Koray Kavukcuoglu Pavel P. Kuksa 209 7,731 0 02 Mar 2011
A Tutorial on Spectral Clustering U. V. Luxburg 292 10,550 0 01 Nov 2007