Variational Inference of Disentangled Latent Concepts from Unlabeled Observations

2 November 2017

Papers citing "Variational Inference of Disentangled Latent Concepts from Unlabeled Observations"

22 / 22 papers shown

Title
Unveiling and Steering Connectome Organization with Interpretable Latent Variables Yubin Li Xingyu Liu Guozhang Chen 117 0 0 19 May 2025
Symbolic Disentangled Representations for Images Alexandr Korchemnyi A. Kovalev Aleksandr I. Panov OCL 77 0 0 31 Dec 2024
Analyzing Generative Models by Manifold Entropic Metrics Daniel Galperin Ullrich Köthe DRL 91 0 0 25 Oct 2024
DualContrast: Unsupervised Disentangling of Content and Transformations with Implicit Parameterization M. R. Uddin Min Xu 82 0 0 27 May 2024
Learning Disentangled Speech Representations Yusuf Brima U. Krumnack Simone Pika Gunther Heidemann CoGe DRL 77 3 0 04 Nov 2023
Disentanglement Learning via Topology Nikita Balabin Daria Voronkova I. Trofimov Evgeny Burnaev S. Barannikov DRL 85 2 0 24 Aug 2023
Auto-Encoding Goodness of Fit A. Palmer Zhiyi Chi Derek Aguiar J. Bi 59 1 0 12 Oct 2022
Linear Disentangled Representations and Unsupervised Action Estimation Matthew Painter Jonathon S. Hare Adam Prugel-Bennett CoGe DRL 58 20 0 18 Aug 2020
PCAAE: Principal Component Analysis Autoencoder for organising the latent space of generative networks Chi-Hieu Pham Saïd Ladjal A. Newson DRL 50 31 0 14 Jun 2020
Weakly Supervised Disentanglement with Guarantees Rui Shu Yining Chen Abhishek Kumar Stefano Ermon Ben Poole CoGe DRL 83 137 0 22 Oct 2019
Towards Principled Methods for Training Generative Adversarial Networks Martín Arjovsky M. Nault GAN 74 2,102 0 17 Jan 2017
A Survey of Inductive Biases for Factorial Representation-Learning Karl Ridgeway DRL CML 45 76 0 15 Dec 2016
f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization Sebastian Nowozin Botond Cseke Ryota Tomioka GAN 93 1,648 0 02 Jun 2016
Adversarially Learned Inference Vincent Dumoulin Ishmael Belghazi Ben Poole Olivier Mastropietro Alex Lamb Martín Arjovsky Aaron Courville GAN 62 1,312 0 02 Jun 2016
Asynchrony begets Momentum, with an Application to Deep Learning Jeff Donahue Philipp Krahenbuhl Stefan Hadjis Christopher Ré 82 1,827 0 31 May 2016
Generating Sentences from a Continuous Space Samuel R. Bowman Luke Vilnis Oriol Vinyals Andrew M. Dai Rafal Jozefowicz Samy Bengio DRL 77 2,352 0 19 Nov 2015
Adversarial Autoencoders Alireza Makhzani Jonathon Shlens Navdeep Jaitly Ian Goodfellow Brendan J. Frey GAN 74 2,224 0 18 Nov 2015
Learning to Linearize Under Uncertainty Ross Goroshin Michaël Mathieu Yann LeCun GAN OOD 70 141 0 09 Jun 2015
Generative Moment Matching Networks Yujia Li Kevin Swersky R. Zemel OOD GAN 93 844 0 10 Feb 2015
Stochastic Variational Inference Matt Hoffman David M. Blei Chong-Jun Wang John Paisley BDL 204 2,616 0 29 Jun 2012
Representation Learning: A Review and New Perspectives Yoshua Bengio Aaron Courville Pascal Vincent OOD SSL 184 12,384 0 24 Jun 2012
Invariant Scattering Convolution Networks Joan Bruna S. Mallat 91 1,272 0 05 Mar 2012