Using Pre-Training Can Improve Model Robustness and Uncertainty

Dan Hendrycks, Kimin Lee, Mantas Mazeika. Using Pre-Training Can Improve Model Robustness and Uncertainty. 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 2712-2721, PMLR, 2019. [doi]

@inproceedings{HendrycksLM19,
  title = {Using Pre-Training Can Improve Model Robustness and Uncertainty},
  author = {Dan Hendrycks and Kimin Lee and Mantas Mazeika},
  year = {2019},
  url = {http://proceedings.mlr.press/v97/hendrycks19a.html},
  researchr = {https://researchr.org/publication/HendrycksLM19},
  cites = {0},
  citedby = {0},
  pages = {2712-2721},
  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},
}