Auto-Encoding Total Correlation Explanation

16 February 2018

Papers citing "Auto-Encoding Total Correlation Explanation"

22 / 22 papers shown

Title
Decision-Making with Auto-Encoding Variational Bayes Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier BDL 221 10,591 0 17 Feb 2020
Disentangling by Factorising Hyunjik Kim A. Mnih CoGe OOD 44 1,336 0 16 Feb 2018
Independently Controllable Factors Valentin Thomas Jules Pondard Emmanuel Bengio Marc Sarfati Philippe Beaudoin Marie-Jean Meurs Joelle Pineau Doina Precup Yoshua Bengio CML 49 69 0 03 Aug 2017
Unsupervised Learning via Total Correlation Explanation Greg Ver Steeg SSL DRL LRM 41 16 0 27 Jun 2017
Fast structure learning with modular regularization Greg Ver Steeg Hrayr Harutyunyan Daniel Moyer Aram Galstyan 42 6 0 11 Jun 2017
InfoVAE: Information Maximizing Variational Autoencoders Shengjia Zhao Jiaming Song Stefano Ermon DRL 72 442 0 07 Jun 2017
Emergence of Invariance and Disentanglement in Deep Representations Alessandro Achille Stefano Soatto OOD DRL 69 473 0 05 Jun 2017
Independently Controllable Features Emmanuel Bengio Valentin Thomas Joelle Pineau Doina Precup Yoshua Bengio DRL 54 67 0 22 Mar 2017
Opening the Black Box of Deep Neural Networks via Information Ravid Shwartz-Ziv Naftali Tishby AI4CE 79 1,406 0 02 Mar 2017
Learning Hierarchical Features from Generative Models Shengjia Zhao Jiaming Song Stefano Ermon BDL GAN OOD DRL 33 74 0 27 Feb 2017
Deep Variational Information Bottleneck Alexander A. Alemi Ian S. Fischer Joshua V. Dillon Kevin Patrick Murphy 86 1,697 0 01 Dec 2016
Anchored Correlation Explanation: Topic Modeling with Minimal Domain Knowledge Ryan J. Gallagher Kyle Reing David C. Kale Greg Ver Steeg 123 171 0 30 Nov 2016
PixelVAE: A Latent Variable Model for Natural Images Ishaan Gulrajani Kundan Kumar Faruk Ahmed Adrien Ali Taïga Francesco Visin David Vazquez Aaron Courville DRL SSL BDL 62 340 0 15 Nov 2016
Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders Nat Dilokthanakul P. Mediano M. Garnelo M. J. Lee Hugh Salimbeni Kai Arulkumaran Murray Shanahan DRL 54 651 0 08 Nov 2016
Information Dropout: Learning Optimal Representations Through Noisy Computation Alessandro Achille Stefano Soatto OOD DRL SSL 47 397 0 04 Nov 2016
InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets Xi Chen Yan Duan Rein Houthooft John Schulman Ilya Sutskever Pieter Abbeel GAN 140 4,224 0 12 Jun 2016
Ladder Variational Autoencoders C. Sønderby T. Raiko Lars Maaløe Søren Kaae Sønderby Ole Winther BDL DRL 77 909 0 06 Feb 2016
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 399 2,563 0 25 Jan 2016
NICE: Non-linear Independent Components Estimation Laurent Dinh David M. Krueger Yoshua Bengio DRL BDL 96 2,251 0 30 Oct 2014
Maximally Informative Hierarchical Representations of High-Dimensional Data Greg Ver Steeg Aram Galstyan TPM 42 65 0 27 Oct 2014
Discovering Structure in High-Dimensional Data Through Correlation Explanation Greg Ver Steeg Aram Galstyan CML 54 99 0 04 Jun 2014
Representation Learning: A Review and New Perspectives Yoshua Bengio Aaron Courville Pascal Vincent OOD SSL 184 12,384 0 24 Jun 2012