NestedVAE: Isolating Common Factors via Weak Supervision

26 February 2020

Papers citing "NestedVAE: Isolating Common Factors via Weak Supervision"

24 / 74 papers shown

Title
Fader Networks: Manipulating Images by Sliding Attributes Guillaume Lample Neil Zeghidour Nicolas Usunier Antoine Bordes Ludovic Denoyer MarcÁurelio Ranzato DRL GAN 96 545 0 01 Jun 2017
Learning Disentangled Representations with Semi-Supervised Deep Generative Models Siddharth Narayanaswamy Brooks Paige Jan-Willem van de Meent Alban Desmaison Noah D. Goodman Pushmeet Kohli Frank Wood Philip Torr DRL CoGe 113 362 0 01 Jun 2017
Controllable Invariance through Adversarial Feature Learning Qizhe Xie Zihang Dai Yulun Du Eduard H. Hovy Graham Neubig OOD 78 291 0 31 May 2017
Unsupervised Learning of Disentangled Representations from Video Emily L. Denton Vighnesh Birodkar DRL CoGe OOD 76 553 0 31 May 2017
Multi-Level Variational Autoencoder: Learning Disentangled Representations from Grouped Observations Diane Bouchacourt Ryota Tomioka Sebastian Nowozin BDL OOD DRL 54 312 0 24 May 2017
VAE with a VampPrior Jakub M. Tomczak Max Welling GAN BDL 66 632 0 19 May 2017
Reinterpreting Importance-Weighted Autoencoders Chris Cremer Q. Morris David Duvenaud BDL FAtt 84 94 0 10 Apr 2017
Age Progression/Regression by Conditional Adversarial Autoencoder Zhifei Zhang Yang Song Hairong Qi GAN CVBM 57 1,111 0 27 Feb 2017
Deep Variational Information Bottleneck Alexander A. Alemi Ian S. Fischer Joshua V. Dillon Kevin Patrick Murphy 98 1,714 0 01 Dec 2016
Disentangling factors of variation in deep representations using adversarial training Michaël Mathieu Jiaqi Zhao Pablo Sprechmann Aditya A. Ramesh Yann LeCun DRL CML 89 490 0 10 Nov 2016
Domain Separation Networks Konstantinos Bousmalis George Trigeorgis N. Silberman Dilip Krishnan D. Erhan OOD 107 1,449 0 22 Aug 2016
Tutorial on Variational Autoencoders Carl Doersch BDL DRL 92 1,741 0 19 Jun 2016
Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteriors Christos Louizos Max Welling BDL 60 257 0 15 Mar 2016
Ladder Variational Autoencoders C. Sønderby T. Raiko Lars Maaløe Søren Kaae Sønderby Ole Winther BDL DRL 95 911 0 06 Feb 2016
The Variational Fair Autoencoder Christos Louizos Kevin Swersky Yujia Li Max Welling R. Zemel DRL 192 633 0 03 Nov 2015
Domain Generalization for Object Recognition with Multi-task Autoencoders Muhammad Ghifary W. Kleijn Mengjie Zhang David Balduzzi ViT OOD 67 659 0 31 Aug 2015
Domain-Adversarial Training of Neural Networks Yaroslav Ganin E. Ustinova Hana Ajakan Pascal Germain Hugo Larochelle François Laviolette M. Marchand Victor Lempitsky GAN OOD 366 9,467 0 28 May 2015
Deep Convolutional Inverse Graphics Network Tejas D. Kulkarni William F. Whitney Pushmeet Kohli J. Tenenbaum DRL BDL 91 929 0 11 Mar 2015
Deep Learning and the Information Bottleneck Principle Naftali Tishby Noga Zaslavsky DRL 161 1,580 0 09 Mar 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.4K 149,842 0 22 Dec 2014
Semi-Supervised Learning with Deep Generative Models Diederik P. Kingma Danilo Jimenez Rezende S. Mohamed Max Welling GAN SSL BDL 83 2,738 0 20 Jun 2014
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 412 16,947 0 20 Dec 2013
Representation Learning: A Review and New Perspectives Yoshua Bengio Aaron Courville Pascal Vincent OOD SSL 220 12,422 0 24 Jun 2012
Identifying confounders using additive noise models Dominik Janzing J. Peters Joris Mooij Bernhard Schölkopf CML 88 66 0 09 May 2012