BibTeX record conf/aaai/HsuCLLY22

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@inproceedings{DBLP:conf/aaai/HsuCLLY22,
  author       = {Chia{-}Yi Hsu and
                  Pin{-}Yu Chen and
                  Songtao Lu and
                  Sijia Liu and
                  Chia{-}Mu Yu},
  title        = {Adversarial Examples Can Be Effective Data Augmentation for Unsupervised
                  Machine Learning},
  booktitle    = {Thirty-Sixth {AAAI} Conference on Artificial Intelligence, {AAAI}
                  2022, Thirty-Fourth Conference on Innovative Applications of Artificial
                  Intelligence, {IAAI} 2022, The Twelveth Symposium on Educational Advances
                  in Artificial Intelligence, {EAAI} 2022 Virtual Event, February 22
                  - March 1, 2022},
  pages        = {6926--6934},
  publisher    = {{AAAI} Press},
  year         = {2022},
  url          = {https://doi.org/10.1609/aaai.v36i6.20650},
  doi          = {10.1609/AAAI.V36I6.20650},
  timestamp    = {Mon, 04 Sep 2023 16:50:24 +0200},
  biburl       = {https://dblp.org/rec/conf/aaai/HsuCLLY22.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}