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Variational Inference of Disentangled Latent Concepts from Unlabeled Observations

2 November 2017

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

50 / 51 papers shown

Title
Unveiling and Steering Connectome Organization with Interpretable Latent Variables Yubin Li Xingyu Liu Guozhang Chen 145 0 0 19 May 2025
Symbolic Disentangled Representations for Images Alexandr Korchemnyi A. Kovalev Aleksandr I. Panov OCL 119 0 0 31 Dec 2024
Analyzing Generative Models by Manifold Entropic Metrics Daniel Galperin Ullrich Köthe DRL 142 0 0 25 Oct 2024
DualContrast: Unsupervised Disentangling of Content and Transformations with Implicit Parameterization M. R. Uddin Min Xu 118 0 0 27 May 2024
Learning Disentangled Speech Representations Yusuf Brima U. Krumnack Simone Pika Gunther Heidemann CoGe DRL 104 3 0 04 Nov 2023
Disentanglement Learning via Topology Nikita Balabin Daria Voronkova I. Trofimov Evgeny Burnaev S. Barannikov DRL 119 3 0 24 Aug 2023
Auto-Encoding Goodness of Fit A. Palmer Zhiyi Chi Derek Aguiar J. Bi 90 1 0 12 Oct 2022
Linear Disentangled Representations and Unsupervised Action Estimation Matthew Painter Jonathon S. Hare Adam Prugel-Bennett CoGe DRL 70 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 81 32 0 14 Jun 2020
Weakly Supervised Disentanglement with Guarantees Rui Shu Yining Chen Abhishek Kumar Stefano Ermon Ben Poole CoGe DRL 124 139 0 22 Oct 2019
A Disentangled Recognition and Nonlinear Dynamics Model for Unsupervised Learning Marco Fraccaro Simon Kamronn Ulrich Paquet Ole Winther BDL 76 284 0 16 Oct 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 137 363 0 01 Jun 2017
Unsupervised Learning of Disentangled Representations from Video Emily L. Denton Vighnesh Birodkar DRL CoGe OOD 88 553 0 31 May 2017
Semi-supervised Learning with GANs: Manifold Invariance with Improved Inference Abhishek Kumar P. Sattigeri P. T. Fletcher GAN 72 42 0 24 May 2017
Towards Deeper Understanding of Variational Autoencoding Models Shengjia Zhao Jiaming Song Stefano Ermon DRL 84 158 0 28 Feb 2017
Wasserstein GAN Martín Arjovsky Soumith Chintala Léon Bottou GAN 177 4,827 0 26 Jan 2017
Towards Principled Methods for Training Generative Adversarial Networks Martín Arjovsky M. Nault GAN 83 2,112 0 17 Jan 2017
A Survey of Inductive Biases for Factorial Representation-Learning Karl Ridgeway DRL CML 68 76 0 15 Dec 2016
Local Group Invariant Representations via Orbit Embeddings Anant Raj Abhishek Kumar Youssef Mroueh Tom Fletcher Bernhard Schölkopf 53 38 0 06 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 109 490 0 10 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 161 4,238 0 12 Jun 2016
f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization Sebastian Nowozin Botond Cseke Ryota Tomioka GAN 158 1,659 0 02 Jun 2016
Adversarially Learned Inference Vincent Dumoulin Ishmael Belghazi Ben Poole Olivier Mastropietro Alex Lamb Martín Arjovsky Aaron Courville GAN 89 1,314 0 02 Jun 2016
Asynchrony begets Momentum, with an Application to Deep Learning Jeff Donahue Philipp Krahenbuhl Stefan Hadjis Christopher Ré 92 142 0 31 May 2016
Group Equivariant Convolutional Networks Taco S. Cohen Max Welling BDL 176 1,946 0 24 Feb 2016
Understanding Visual Concepts with Continuation Learning William F. Whitney Michael Chang Tejas D. Kulkarni J. Tenenbaum DRL GAN 84 55 0 22 Feb 2016
Exploiting Cyclic Symmetry in Convolutional Neural Networks Sander Dieleman J. Fauw Koray Kavukcuoglu 121 364 0 08 Feb 2016
Weakly-supervised Disentangling with Recurrent Transformations for 3D View Synthesis Jimei Yang Scott E. Reed Ming-Hsuan Yang Honglak Lee VOT 64 314 0 05 Jan 2016
Variational Inference: A Review for Statisticians David M. Blei A. Kucukelbir Jon D. McAuliffe BDL 298 4,812 0 04 Jan 2016
Generating Sentences from a Continuous Space Samuel R. Bowman Luke Vilnis Oriol Vinyals Andrew M. Dai Rafal Jozefowicz Samy Bengio DRL 113 2,364 0 19 Nov 2015
Neural Variational Inference for Text Processing Yishu Miao Lei Yu Phil Blunsom VLM DRL 137 622 0 19 Nov 2015
Adversarial Autoencoders Alireza Makhzani Jonathon Shlens Navdeep Jaitly Ian Goodfellow Brendan J. Frey GAN 103 2,228 0 18 Nov 2015
Bayesian representation learning with oracle constraints Theofanis Karaletsos Serge J. Belongie Gunnar Rätsch BDL 73 92 0 16 Jun 2015
Learning to Linearize Under Uncertainty Ross Goroshin Michaël Mathieu Yann LeCun GAN OOD 96 142 0 09 Jun 2015
Learning with Group Invariant Features: A Kernel Perspective Youssef Mroueh S. Voinea T. Poggio VLM 58 35 0 08 Jun 2015
Training generative neural networks via Maximum Mean Discrepancy optimization Gintare Karolina Dziugaite Daniel M. Roy Zoubin Ghahramani GAN 84 530 0 14 May 2015
On Invariance and Selectivity in Representation Learning Fabio Anselmi Lorenzo Rosasco T. Poggio 99 105 0 19 Mar 2015
Deep Convolutional Inverse Graphics Network Tejas D. Kulkarni William F. Whitney Pushmeet Kohli J. Tenenbaum DRL BDL 103 929 0 11 Mar 2015
Generative Moment Matching Networks Yujia Li Kevin Swersky R. Zemel OOD GAN 119 847 0 10 Feb 2015
Transformation Properties of Learned Visual Representations Taco S. Cohen Max Welling 60 106 0 24 Dec 2014
Discovering Hidden Factors of Variation in Deep Networks Brian Cheung J. Livezey Arjun K. Bansal Bruno A. Olshausen DRL 90 193 0 20 Dec 2014
Deep Learning Face Attributes in the Wild Ziwei Liu Ping Luo Xiaogang Wang Xiaoou Tang CVBM 247 8,429 0 28 Nov 2014
Learning to Generate Chairs, Tables and Cars with Convolutional Networks Alexey Dosovitskiy Jost Tobias Springenberg Maxim Tatarchenko Thomas Brox GAN 179 676 0 21 Nov 2014
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 455 16,923 0 20 Dec 2013
Unsupervised Learning of Invariant Representations in Hierarchical Architectures Fabio Anselmi Joel Z Leibo Lorenzo Rosasco Jim Mutch Andrea Tacchetti T. Poggio OCL 78 88 0 17 Nov 2013
Disentangling Factors of Variation via Generative Entangling Guillaume Desjardins Aaron Courville Yoshua Bengio CoGe CML DRL 93 104 0 19 Oct 2012
Stochastic Variational Inference Matt Hoffman David M. Blei Chong-Jun Wang John Paisley BDL 262 2,627 0 29 Jun 2012
Representation Learning: A Review and New Perspectives Yoshua Bengio Aaron Courville Pascal Vincent OOD SSL 278 12,460 0 24 Jun 2012
Rényi Divergence and Kullback-Leibler Divergence T. Erven P. Harremoes 90 1,342 0 12 Jun 2012
Invariant Scattering Convolution Networks Joan Bruna S. Mallat 131 1,279 0 05 Mar 2012