Overcoming challenges in leveraging GANs for few-shot data augmentation

Christopher Beckham, Issam H. Laradji, Pau Rodríguez, David Vázquez 0001, Derek Nowrouzezahrai, Christopher Pal. Overcoming challenges in leveraging GANs for few-shot data augmentation. In Sarath Chandar, Razvan Pascanu, Doina Precup, editors, Conference on Lifelong Learning Agents, CoLLAs 2022, 22-24 August 2022, McGill University, Montréal, Québec, Canada. Volume 199 of Proceedings of Machine Learning Research, pages 255-280, PMLR, 2022. [doi]

@inproceedings{BeckhamLRVNP22,
  title = {Overcoming challenges in leveraging GANs for few-shot data augmentation},
  author = {Christopher Beckham and Issam H. Laradji and Pau Rodríguez and David Vázquez 0001 and Derek Nowrouzezahrai and Christopher Pal},
  year = {2022},
  url = {https://proceedings.mlr.press/v199/beckham22a.html},
  researchr = {https://researchr.org/publication/BeckhamLRVNP22},
  cites = {0},
  citedby = {0},
  pages = {255-280},
  booktitle = {Conference on Lifelong Learning Agents, CoLLAs 2022, 22-24 August 2022, McGill University, Montréal, Québec, Canada},
  editor = {Sarath Chandar and Razvan Pascanu and Doina Precup},
  volume = {199},
  series = {Proceedings of Machine Learning Research},
  publisher = {PMLR},
}