Unsupervised learning of disentangled representations in deep restricted
kernel machines with orthogonality constraints

Unsupervised learning of disentangled representations in deep restricted kernel machines with orthogonality constraints

25 November 2020

Panagiotis Patrinos

Johan A. K. Suykens

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Papers citing "Unsupervised learning of disentangled representations in deep restricted kernel machines with orthogonality constraints"

17 / 17 papers shown

Title
Robust Generative Restricted Kernel Machines using Weighted Conjugate Feature Duality Arun Pandey J. Schreurs Johan A. K. Suykens 31 7 0 04 Feb 2020
Generative Restricted Kernel Machines: A Framework for Multi-view Generation and Disentangled Feature Learning Arun Pandey J. Schreurs Johan A. K. Suykens 69 13 0 19 Jun 2019
Learning Interpretable Disentangled Representations using Adversarial VAEs Mhd Hasan Sarhan Abouzar Eslami Nassir Navab Shadi Albarqouni DRL OOD 133 21 0 17 Apr 2019
Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations Francesco Locatello Stefan Bauer Mario Lucic Gunnar Rätsch Sylvain Gelly Bernhard Schölkopf Olivier Bachem OOD 143 1,475 0 29 Nov 2018
Robustly Disentangled Causal Mechanisms: Validating Deep Representations for Interventional Robustness Raphael Suter Ðorðe Miladinovic Bernhard Schölkopf Stefan Bauer CML OOD DRL 138 162 0 31 Oct 2018
Structured Disentangled Representations Babak Esmaeili Hao Wu Sarthak Jain Alican Bozkurt N. Siddharth Brooks Paige Dana H. Brooks Jennifer Dy Jan-Willem van de Meent OOD CML BDL DRL 88 169 0 06 Apr 2018
Disentangling by Factorising Hyunjik Kim A. Mnih CoGe OOD 70 1,356 0 16 Feb 2018
Learning Deep Disentangled Embeddings with the F-Statistic Loss Karl Ridgeway Michael C. Mozer FedML DRL CoGe 74 218 0 14 Feb 2018
Variational Inference of Disentangled Latent Concepts from Unlabeled Observations Abhishek Kumar P. Sattigeri Avinash Balakrishnan BDL DRL 93 523 0 02 Nov 2017
Emergence of Invariance and Disentanglement in Deep Representations Alessandro Achille Stefano Soatto OOD DRL 115 477 0 05 Jun 2017
InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets Xi Chen Yan Duan Rein Houthooft John Schulman Ilya Sutskever Pieter Abbeel GAN 161 4,240 0 12 Jun 2016
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.1K 150,433 0 22 Dec 2014
Maximally Informative Hierarchical Representations of High-Dimensional Data Greg Ver Steeg Aram Galstyan TPM 109 65 0 27 Oct 2014
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 464 16,922 0 20 Dec 2013
Visualizing and Understanding Convolutional Networks Matthew D. Zeiler Rob Fergus FAtt SSL 605 15,907 0 12 Nov 2013
On Causal and Anticausal Learning Bernhard Schölkopf Dominik Janzing J. Peters Eleni Sgouritsa Kun Zhang Joris Mooij CML 100 612 0 27 Jun 2012
Representation Learning: A Review and New Perspectives Yoshua Bengio Aaron Courville Pascal Vincent OOD SSL 286 12,467 0 24 Jun 2012