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1909.02820
Cited By
Bayes-Factor-VAE: Hierarchical Bayesian Deep Auto-Encoder Models for Factor Disentanglement
6 September 2019
Minyoung Kim
Yuting Wang
Pritish Sahu
Vladimir Pavlovic
CoGe
BDL
CML
DRL
Re-assign community
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Papers citing
"Bayes-Factor-VAE: Hierarchical Bayesian Deep Auto-Encoder Models for Factor Disentanglement"
18 / 18 papers shown
Title
DualContrast: Unsupervised Disentangling of Content and Transformations with Implicit Parameterization
M. R. Uddin
Min Xu
104
0
0
27 May 2024
Relevance Factor VAE: Learning and Identifying Disentangled Factors
Minyoung Kim
Yuting Wang
Pritish Sahu
Vladimir Pavlovic
CoGe
CML
DRL
63
40
0
05 Feb 2019
Towards a Definition of Disentangled Representations
I. Higgins
David Amos
David Pfau
S. Racanière
Loic Matthey
Danilo Jimenez Rezende
Alexander Lerchner
OCL
DRL
103
480
0
05 Dec 2018
Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations
Francesco Locatello
Stefan Bauer
Mario Lucic
Gunnar Rätsch
Sylvain Gelly
Bernhard Schölkopf
Olivier Bachem
OOD
118
1,467
0
29 Nov 2018
Hyperprior Induced Unsupervised Disentanglement of Latent Representations
Abdul Fatir Ansari
Harold Soh
CoGe
CML
UD
DRL
57
31
0
12 Sep 2018
Structured Disentangled Representations
Babak Esmaeili
Hao Wu
Sarthak Jain
Alican Bozkurt
N. Siddharth
Brooks Paige
Dana H. Brooks
Jennifer Dy
Jan-Willem van de Meent
OOD
CML
BDL
DRL
79
166
0
06 Apr 2018
Hyperspherical Variational Auto-Encoders
Tim R. Davidson
Luca Falorsi
Nicola De Cao
Thomas Kipf
Jakub M. Tomczak
DRL
BDL
104
384
0
03 Apr 2018
Learning Disentangled Joint Continuous and Discrete Representations
Emilien Dupont
DRL
81
242
0
31 Mar 2018
Disentangling by Factorising
Hyunjik Kim
A. Mnih
CoGe
OOD
62
1,350
0
16 Feb 2018
Variational Inference of Disentangled Latent Concepts from Unlabeled Observations
Abhishek Kumar
P. Sattigeri
Avinash Balakrishnan
BDL
DRL
81
523
0
02 Nov 2017
Learning Independent Features with Adversarial Nets for Non-linear ICA
Philemon Brakel
Yoshua Bengio
OOD
CML
63
94
0
13 Oct 2017
VAE with a VampPrior
Jakub M. Tomczak
Max Welling
GAN
BDL
66
633
0
19 May 2017
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
InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets
Xi Chen
Yan Duan
Rein Houthooft
John Schulman
Ilya Sutskever
Pieter Abbeel
GAN
159
4,235
0
12 Jun 2016
Adversarial Autoencoders
Alireza Makhzani
Jonathon Shlens
Navdeep Jaitly
Ian Goodfellow
Brendan J. Frey
GAN
86
2,228
0
18 Nov 2015
Deep Learning Face Attributes in the Wild
Ziwei Liu
Ping Luo
Xiaogang Wang
Xiaoou Tang
CVBM
244
8,408
0
28 Nov 2014
Auto-Encoding Variational Bayes
Diederik P. Kingma
Max Welling
BDL
452
16,929
0
20 Dec 2013
Representation Learning: A Review and New Perspectives
Yoshua Bengio
Aaron Courville
Pascal Vincent
OOD
SSL
264
12,439
0
24 Jun 2012
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