@misc{dl3-b-mixup-vicinal-risk-1,
  title = {mixup: Beyond Empirical Risk Minimization},
  author = {Hongyi Zhang and Moustapha Cisse and Yann N. Dauphin and David Lopez-Paz},
  year = {2017},
  url = {https://arxiv.org/abs/1710.09412},
  howpublished = {arXiv preprint},
  archivePrefix = {arXiv},
  eprint = {1710.09412},
  note = {Cited author-manuscript edition; peer review is not inferred from arXiv}
}

@inproceedings{dl3-b-mixup-vicinal-risk-2,
  title = {Manifold Mixup: Better Representations by Interpolating Hidden States},
  author = {Vikas Verma and Alex Lamb and Christopher Beckham and Amir Najafi and Ioannis Mitliagkas and David Lopez-Paz and Yoshua Bengio},
  year = {2019},
  url = {https://proceedings.mlr.press/v97/verma19a.html},
  booktitle = {Proceedings of the 36th International Conference on Machine Learning},
  volume = {97},
  pages = {6438-6447}
}

@misc{dl3-b-mixup-vicinal-risk-3,
  title = {CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features},
  author = {Sangdoo Yun and Dongyoon Han and Seong Joon Oh and Sanghyuk Chun and Junsuk Choe and Youngjoon Yoo},
  year = {2019},
  url = {https://arxiv.org/abs/1905.04899},
  howpublished = {arXiv preprint},
  archivePrefix = {arXiv},
  eprint = {1905.04899},
  note = {Cited author-manuscript edition; peer review is not inferred from arXiv}
}

@misc{dl3-b-mixup-vicinal-risk-4,
  title = {How Does Mixup Help With Robustness and Generalization?},
  author = {Linjun Zhang and Zhun Deng and Kenji Kawaguchi and Amirata Ghorbani and James Zou},
  year = {2020},
  url = {https://arxiv.org/abs/2010.04819},
  howpublished = {arXiv preprint},
  archivePrefix = {arXiv},
  eprint = {2010.04819},
  note = {Cited author-manuscript edition; peer review is not inferred from arXiv}
}

@inproceedings{dl3-b-mixup-vicinal-risk-5,
  title = {When and How Mixup Improves Calibration},
  author = {Linjun Zhang and Zhun Deng and Kenji Kawaguchi and James Zou},
  year = {2022},
  url = {https://proceedings.mlr.press/v162/zhang22f.html},
  booktitle = {Proceedings of the 39th International Conference on Machine Learning},
  volume = {162},
  pages = {26135-26160}
}

@inproceedings{dl3-b-mixup-vicinal-risk-6,
  title = {The Benefits of Mixup for Feature Learning},
  author = {Difan Zou and Yuan Cao and Yuanzhi Li and Quanquan Gu},
  year = {2023},
  url = {https://proceedings.mlr.press/v202/zou23a.html},
  booktitle = {Proceedings of the 40th International Conference on Machine Learning},
  volume = {202},
  pages = {43423-43479}
}