Isolating Sources of Disentanglement in Variational Autoencoders

14 February 2018

Papers citing "Isolating Sources of Disentanglement in Variational Autoencoders"

23 / 23 papers shown

Title
Controllable Semantic Image Inpainting Jin Xu Yee Whye Teh 23 7 0 15 Jun 2018
Disentangling by Factorising Hyunjik Kim A. Mnih CoGe OOD 39 1,336 0 16 Feb 2018
Auto-Encoding Total Correlation Explanation Shuyang Gao Rob Brekelmans Greg Ver Steeg Aram Galstyan BDL DRL 45 78 0 16 Feb 2018
Variational Inference of Disentangled Latent Concepts from Unlabeled Observations Abhishek Kumar P. Sattigeri Avinash Balakrishnan BDL DRL 45 520 0 02 Nov 2017
InfoVAE: Information Maximizing Variational Autoencoders Shengjia Zhao Jiaming Song Stefano Ermon DRL 62 442 0 07 Jun 2017
Generative Models of Visually Grounded Imagination Ramakrishna Vedantam Ian S. Fischer Jonathan Huang Kevin Patrick Murphy 37 138 0 30 May 2017
A Survey of Inductive Biases for Factorial Representation-Learning Karl Ridgeway DRL CML 38 76 0 15 Dec 2016
Disentangling Space and Time in Video with Hierarchical Variational Auto-encoders Will Grathwohl Aaron Wilson DRL 39 21 0 14 Dec 2016
Deep Variational Information Bottleneck Alexander A. Alemi Ian S. Fischer Joshua V. Dillon Kevin Patrick Murphy 73 1,697 0 01 Dec 2016
Information Dropout: Learning Optimal Representations Through Noisy Computation Alessandro Achille Stefano Soatto OOD DRL SSL 32 396 0 04 Nov 2016
Amortised MAP Inference for Image Super-resolution C. Sønderby Jose Caballero Lucas Theis Wenzhe Shi Ferenc Huszár 68 435 0 14 Oct 2016
InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets Xi Chen Yan Duan Rein Houthooft John Schulman Ilya Sutskever Pieter Abbeel GAN 133 4,224 0 12 Jun 2016
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks Alec Radford Luke Metz Soumith Chintala GAN OOD 223 13,968 0 19 Nov 2015
Adversarial Autoencoders Alireza Makhzani Jonathon Shlens Navdeep Jaitly Ian Goodfellow Brendan J. Frey GAN 63 2,224 0 18 Nov 2015
Bayesian representation learning with oracle constraints Theofanis Karaletsos Serge J. Belongie Gunnar Rätsch BDL 48 92 0 16 Jun 2015
Deep Convolutional Inverse Graphics Network Tejas D. Kulkarni William F. Whitney Pushmeet Kohli J. Tenenbaum DRL BDL 78 929 0 11 Mar 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 632 149,474 0 22 Dec 2014
Discovering Hidden Factors of Variation in Deep Networks Brian Cheung J. Livezey Arjun K. Bansal Bruno A. Olshausen DRL 56 193 0 20 Dec 2014
Deep Learning Face Attributes in the Wild Ziwei Liu Ping Luo Xiaogang Wang Xiaoou Tang CVBM 198 8,351 0 28 Nov 2014
Maximally Informative Hierarchical Representations of High-Dimensional Data Greg Ver Steeg Aram Galstyan TPM 39 65 0 27 Oct 2014
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 336 16,972 0 20 Dec 2013
Disentangling Factors of Variation via Generative Entangling Guillaume Desjardins Aaron Courville Yoshua Bengio CoGe CML DRL 45 104 0 19 Oct 2012
Representation Learning: A Review and New Perspectives Yoshua Bengio Aaron Courville Pascal Vincent OOD SSL 145 12,384 0 24 Jun 2012