Disentangled Representation Learning

Disentangled Representation Learning is a representation learning framework that seeks to identify and separate the underlying explanatory factors of data variation into statistically independent components within the learned latent space.

634

Publications

41.8K

Citations

2.1K

Authors

486

Institutions

Publications per year

2017–2026

619

Parents

Representation Learning

Publications

634

beta-VAE: Learning Basic Visual Concepts with a Constrained Variational Framework

Irina Higgins, Löıc Matthey, Arka Pal et al. · International Conference on Learning Representations · 2017 · 3.1K citations

Computing, Computer Science, Computer Vision +16

InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets

Xi Chen, Yan Duan, Rein Houthooft et al. · arXiv (Cornell University) · 2016 · 1.2K citations · Full text

Computing, Computer Science, Computer Vision +12

Disentangled Representation Learning GAN for Pose-Invariant Face Recognition

Luan Tran, Xi Yin, Xiaoming Liu · 2017 · 1.1K citations

Computing, Computer Science, Computer Vision +13

Interpreting the Latent Space of GANs for Semantic Face Editing

Yujun Shen, Jinjin Gu, Xiaoou Tang et al. · 2020 · 1K citations

Computing, Computer Science, Computational Art +10

Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations

Francesco Locatello, Stefan Bauer, Mario Lučić et al. · arXiv (Cornell University) · 2018 · 612 citations · Full text

Computing, Computer Science, Data Mining +14

1–5 of 634

Authors

2.1K

BS
Bernhard Schölkopf
Max Planck Institute for Intelligent Systems, Germany
20 publications · 1.5K citations
17
h-index
FL
Francesco Locatello
Max Planck Institute for Intelligent Systems, Germany
17 publications · 1.5K citations
15
h-index
SB
Stefan Bauer
Max Planck Institute for Intelligent Systems, Germany
15 publications · 1.3K citations
14
h-index
AL
Alexander Lerchner
Google (United States), United States
14 publications · 4.7K citations
14
h-index
IH
Irina Higgins
Google (United States), United States
13 publications · 4.4K citations
13
h-index

1–5 of 2.1K

Institutions

486

1–8 of 486

Venues

arXiv (Cornell University)
Repository · 193 publications · 11.4K citations
51
h-index
Proceedings of the AAAI Conference on Artificial Intelligence
Conference · 26 publications · 1.7K citations
20
h-index
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Conference · 13 publications · 1.1K citations
13
h-index
IEEE Transactions on Pattern Analysis and Machine Intelligence
TPAMI · 13 publications · 1.4K citations
13
h-index
IEEE Transactions on Multimedia
12 publications · 713 citations
12
h-index

1–5