Population Based Augmentation: Efficient Learning of Augmentation Policy Schedules

Daniel Ho, Eric Liang, Xi Chen, Ion Stoica, Pieter Abbeel. Population Based Augmentation: Efficient Learning of Augmentation Policy Schedules. In Kamalika Chaudhuri, Ruslan Salakhutdinov, editors, Proceedings of the 36th International Conference on Machine Learning, ICML 2019, 9-15 June 2019, Long Beach, California, USA. Volume 97 of Proceedings of Machine Learning Research, pages 2731-2741, PMLR, 2019. [doi]

@inproceedings{HoLCSA19,
  title = {Population Based Augmentation: Efficient Learning of Augmentation Policy Schedules},
  author = {Daniel Ho and Eric Liang and Xi Chen and Ion Stoica and Pieter Abbeel},
  year = {2019},
  url = {http://proceedings.mlr.press/v97/ho19b.html},
  researchr = {https://researchr.org/publication/HoLCSA19},
  cites = {0},
  citedby = {0},
  pages = {2731-2741},
  booktitle = {Proceedings of the 36th International Conference on Machine Learning, ICML 2019, 9-15 June 2019, Long Beach, California, USA},
  editor = {Kamalika Chaudhuri and Ruslan Salakhutdinov},
  volume = {97},
  series = {Proceedings of Machine Learning Research},
  publisher = {PMLR},
}