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. 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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