Many Paths to Equilibrium: GANs Do Not Need to Decrease a Divergence At Every Step

William Fedus, Mihaela Rosca, Balaji Lakshminarayanan, Andrew M. Dai, Shakir Mohamed, Ian J. Goodfellow. Many Paths to Equilibrium: GANs Do Not Need to Decrease a Divergence At Every Step. In 6th International Conference on Learning Representations, ICLR 2018, Vancouver, BC, Canada, April 30 - May 3, 2018, Conference Track Proceedings. OpenReview.net, 2018. [doi]

@inproceedings{FedusRLDMG18,
  title = {Many Paths to Equilibrium: GANs Do Not Need to Decrease a Divergence At Every Step},
  author = {William Fedus and Mihaela Rosca and Balaji Lakshminarayanan and Andrew M. Dai and Shakir Mohamed and Ian J. Goodfellow},
  year = {2018},
  url = {https://openreview.net/forum?id=ByQpn1ZA-},
  researchr = {https://researchr.org/publication/FedusRLDMG18},
  cites = {0},
  citedby = {0},
  booktitle = {6th International Conference on Learning Representations, ICLR 2018, Vancouver, BC, Canada, April 30 - May 3, 2018, Conference Track Proceedings},
  publisher = {OpenReview.net},
}