Overcoming challenges in leveraging GANs for few-shot data augmentation. Beckham, C., Laradji, I. H., Rodríguez, P., Vázquez, D., Nowrouzezahrai, D., & Pal, C. In Chandar, S., Pascanu, R., & Precup, D., 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, 2022. PMLR.
Overcoming challenges in leveraging GANs for few-shot data augmentation [link]Paper  bibtex   
@inproceedings{DBLP:conf/collas/BeckhamLRVNP22,
  author       = {Christopher Beckham and
                  Issam H. Laradji and
                  Pau Rodr{\'{\i}}guez and
                  David V{\'{a}}zquez and
                  Derek Nowrouzezahrai and
                  Christopher Pal},
  editor       = {Sarath Chandar and
                  Razvan Pascanu and
                  Doina Precup},
  title        = {Overcoming challenges in leveraging GANs for few-shot data augmentation},
  booktitle    = {Conference on Lifelong Learning Agents, CoLLAs 2022, 22-24 August
                  2022, McGill University, Montr{\'{e}}al, Qu{\'{e}}bec, Canada},
  series       = {Proceedings of Machine Learning Research},
  volume       = {199},
  pages        = {255--280},
  publisher    = {{PMLR}},
  year         = {2022},
  url          = {https://proceedings.mlr.press/v199/beckham22a.html},
  timestamp    = {Sat, 18 Feb 2023 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/conf/collas/BeckhamLRVNP22.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

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