ML Anthology

Open Questions About Generative Adversarial Networks

Augustus Odena
Distill 2019
doi:10.23915/distill.00018 /distill/2019/odena2019distill-open/

Abstract

Distill articles are interactive publications and do not include traditional abstracts. This summary was written for the ML Anthology. Identifies seven open research problems in generative adversarial network development, including fundamental trade-offs with other generative models, scalability beyond image synthesis, convergence guarantees, and evaluation metrics.

Distill Code Semantic Scholar

Cite

Text

Odena. "Open Questions About Generative Adversarial Networks." Distill, 2019. doi:10.23915/distill.00018

Markdown

[Odena. "Open Questions About Generative Adversarial Networks." Distill, 2019.](https://mlanthology.org/distill/2019/odena2019distill-open/) doi:10.23915/distill.00018

BibTeX

@article{odena2019distill-open,
  title     = {{Open Questions About Generative Adversarial Networks}},
  author    = {Odena, Augustus},
  journal   = {Distill},
  year      = {2019},
  doi       = {10.23915/distill.00018},
  url       = {https://mlanthology.org/distill/2019/odena2019distill-open/}
}