Learning Instance-Specific Augmentations by Capturing Local Invariances

Ning Miao, Tom Rainforth, Emile Mathieu, Yann Dubois, Yee Whye Teh, Adam Foster 0001, Hyunjik Kim. Learning Instance-Specific Augmentations by Capturing Local Invariances. In Andreas Krause 0001, Emma Brunskill, KyungHyun Cho, Barbara Engelhardt, Sivan Sabato, Jonathan Scarlett, editors, International Conference on Machine Learning, ICML 2023, 23-29 July 2023, Honolulu, Hawaii, USA. Volume 202 of Proceedings of Machine Learning Research, pages 24720-24736, PMLR, 2023. [doi]

@inproceedings{MiaoRMDT0K23,
  title = {Learning Instance-Specific Augmentations by Capturing Local Invariances},
  author = {Ning Miao and Tom Rainforth and Emile Mathieu and Yann Dubois and Yee Whye Teh and Adam Foster 0001 and Hyunjik Kim},
  year = {2023},
  url = {https://proceedings.mlr.press/v202/miao23a.html},
  researchr = {https://researchr.org/publication/MiaoRMDT0K23},
  cites = {0},
  citedby = {0},
  pages = {24720-24736},
  booktitle = {International Conference on Machine Learning, ICML 2023, 23-29 July 2023, Honolulu, Hawaii, USA},
  editor = {Andreas Krause 0001 and Emma Brunskill and KyungHyun Cho and Barbara Engelhardt and Sivan Sabato and Jonathan Scarlett},
  volume = {202},
  series = {Proceedings of Machine Learning Research},
  publisher = {PMLR},
}