---
_id: '14193'
abstract:
- lang: eng
  text: "A disentangled representation encodes information about the salient factors\r\nof
    variation in the data independently. Although it is often argued that this\r\nrepresentational
    format is useful in learning to solve many real-world\r\ndown-stream tasks, there
    is little empirical evidence that supports this claim.\r\nIn this paper, we conduct
    a large-scale study that investigates whether\r\ndisentangled representations
    are more suitable for abstract reasoning tasks.\r\nUsing two new tasks similar
    to Raven's Progressive Matrices, we evaluate the\r\nusefulness of the representations
    learned by 360 state-of-the-art unsupervised\r\ndisentanglement models. Based
    on these representations, we train 3600 abstract\r\nreasoning models and observe
    that disentangled representations do in fact lead\r\nto better down-stream performance.
    In particular, they enable quicker learning\r\nusing fewer samples."
article_processing_charge: No
arxiv: 1
author:
- first_name: Sjoerd van
  full_name: Steenkiste, Sjoerd van
  last_name: Steenkiste
- first_name: Francesco
  full_name: Locatello, Francesco
  id: 26cfd52f-2483-11ee-8040-88983bcc06d4
  last_name: Locatello
  orcid: 0000-0002-4850-0683
- first_name: Jürgen
  full_name: Schmidhuber, Jürgen
  last_name: Schmidhuber
- first_name: Olivier
  full_name: Bachem, Olivier
  last_name: Bachem
citation:
  ama: 'Steenkiste S van, Locatello F, Schmidhuber J, Bachem O. Are disentangled representations
    helpful for abstract visual reasoning? In: <i>Advances in Neural Information Processing
    Systems</i>. Vol 32. ; 2019.'
  apa: Steenkiste, S. van, Locatello, F., Schmidhuber, J., &#38; Bachem, O. (2019).
    Are disentangled representations helpful for abstract visual reasoning? In <i>Advances
    in Neural Information Processing Systems</i> (Vol. 32). Vancouver, Canada.
  chicago: Steenkiste, Sjoerd van, Francesco Locatello, Jürgen Schmidhuber, and Olivier
    Bachem. “Are Disentangled Representations Helpful for Abstract Visual Reasoning?”
    In <i>Advances in Neural Information Processing Systems</i>, Vol. 32, 2019.
  ieee: S. van Steenkiste, F. Locatello, J. Schmidhuber, and O. Bachem, “Are disentangled
    representations helpful for abstract visual reasoning?,” in <i>Advances in Neural
    Information Processing Systems</i>, Vancouver, Canada, 2019, vol. 32.
  ista: 'Steenkiste S van, Locatello F, Schmidhuber J, Bachem O. 2019. Are disentangled
    representations helpful for abstract visual reasoning? Advances in Neural Information
    Processing Systems. NeurIPS: Neural Information Processing Systems vol. 32.'
  mla: Steenkiste, Sjoerd van, et al. “Are Disentangled Representations Helpful for
    Abstract Visual Reasoning?” <i>Advances in Neural Information Processing Systems</i>,
    vol. 32, 2019.
  short: S. van Steenkiste, F. Locatello, J. Schmidhuber, O. Bachem, in:, Advances
    in Neural Information Processing Systems, 2019.
conference:
  end_date: 2019-12-14
  location: Vancouver, Canada
  name: 'NeurIPS: Neural Information Processing Systems'
  start_date: 2019-12-08
date_created: 2023-08-22T14:09:53Z
date_published: 2019-05-29T00:00:00Z
date_updated: 2024-10-14T12:28:15Z
day: '29'
department:
- _id: FrLo
extern: '1'
external_id:
  arxiv:
  - '1905.12506'
intvolume: '        32'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.48550/arXiv.1905.12506
month: '05'
oa: 1
oa_version: Preprint
publication: Advances in Neural Information Processing Systems
publication_identifier:
  isbn:
  - '9781713807933'
publication_status: published
quality_controlled: '1'
status: public
title: Are disentangled representations helpful for abstract visual reasoning?
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 32
year: '2019'
...