@inproceedings{dl3-b-label-noise-identifiability-1,
  title = {Learning with Noisy Labels},
  author = {Nagarajan Natarajan and Inderjit S. Dhillon and Pradeep K. Ravikumar and Ambuj Tewari},
  year = {2013},
  url = {https://papers.nips.cc/paper_files/paper/2013/hash/3871bd64012152bfb53fdf04b401193f-Abstract.html},
  booktitle = {Advances in Neural Information Processing Systems},
  volume = {26},
  pages = {1196-1204}
}

@inproceedings{dl3-b-label-noise-identifiability-2,
  title = {Classification with Asymmetric Label Noise: Consistency and Maximal Denoising},
  author = {Clayton Scott and Gilles Blanchard and Gregory Handy},
  year = {2013},
  url = {https://proceedings.mlr.press/v30/Scott13.html},
  booktitle = {Proceedings of the 26th Annual Conference on Learning Theory},
  volume = {30},
  pages = {489-511}
}

@inproceedings{dl3-b-label-noise-identifiability-3,
  title = {Making Deep Neural Networks Robust to Label Noise: A Loss Correction Approach},
  author = {Giorgio Patrini and Alessandro Rozza and Aditya Krishna Menon and Richard Nock and Lizhen Qu},
  year = {2017},
  url = {https://openaccess.thecvf.com/content_cvpr_2017/html/Patrini_Making_Deep_Neural_CVPR_2017_paper.html},
  booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  pages = {1944-1952}
}

@misc{dl3-b-label-noise-identifiability-4,
  title = {Confident Learning: Estimating Uncertainty in Dataset Labels},
  author = {Curtis G. Northcutt and Lu Jiang and Isaac L. Chuang},
  year = {2019},
  url = {https://arxiv.org/abs/1911.00068},
  howpublished = {arXiv preprint},
  archivePrefix = {arXiv},
  eprint = {1911.00068},
  note = {Cited author-manuscript edition; peer review is not inferred from arXiv}
}

@misc{dl3-b-label-noise-identifiability-5,
  title = {Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels},
  author = {Bo Han and Quanming Yao and Xingrui Yu and Gang Niu and Miao Xu and Weihua Hu and Ivor W. Tsang and Masashi Sugiyama},
  year = {2018},
  url = {https://arxiv.org/abs/1804.06872},
  howpublished = {arXiv preprint},
  archivePrefix = {arXiv},
  eprint = {1804.06872},
  note = {Cited author-manuscript edition; peer review is not inferred from arXiv}
}

@misc{dl3-b-label-noise-identifiability-6,
  title = {Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels},
  author = {Zhilu Zhang and Mert R. Sabuncu},
  year = {2018},
  url = {https://arxiv.org/abs/1805.07836},
  howpublished = {arXiv preprint},
  archivePrefix = {arXiv},
  eprint = {1805.07836},
  note = {Cited author-manuscript edition; peer review is not inferred from arXiv}
}