Changes adding things and dir locals

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4 changed files with 231 additions and 132 deletions
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@@ -87,3 +87,74 @@
year={1989},
publisher={Taylor \& Francis}
}
@inproceedings{ghosh2017robust,
title={Robust Loss Functions under Label Noise for Deep Neural Networks},
author={Ghosh, Aritra and Kumar, Himanshu and Sastry, P. S.},
booktitle={Proceedings of the Thirty-First {AAAI} Conference on Artificial Intelligence},
pages={1919--1925},
year={2017}
}
@inproceedings{arpit2017memorization,
title={A Closer Look at Memorization in Deep Networks},
author={Arpit, Devansh and Jastrz\k{e}bski, Stanis{\l}aw and Ballas, Nicolas and Krueger, David and Bengio, Emmanuel and Kanwal, Maxinder S. and Maharaj, Tegan and Fischer, Asja and Courville, Aaron and Bengio, Yoshua and Lacoste-Julien, Simon},
booktitle={Proceedings of the 34th International Conference on Machine Learning},
pages={233--242},
year={2017}
}
@inproceedings{zhang2018generalized,
title={Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels},
author={Zhang, Zhilu and Sabuncu, Mert},
booktitle={Advances in Neural Information Processing Systems},
volume={31},
year={2018}
}
@inproceedings{patrini2017making,
title={Making Deep Neural Networks Robust to Label Noise: {A} Loss Correction Approach},
author={Patrini, Giorgio and Rozza, Alessandro and Krishna Menon, Aditya and Nock, Richard and Qu, Lizhen},
booktitle={Proceedings of the {IEEE} Conference on Computer Vision and Pattern Recognition},
pages={1944--1952},
year={2017}
}
@inproceedings{han2018coteaching,
title={Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels},
author={Han, Bo and Yao, Quanming and Yu, Xingrui and Niu, Gang and Xu, Miao and Hu, Weihua and Tsang, Ivor and Sugiyama, Masashi},
booktitle={Advances in Neural Information Processing Systems},
volume={31},
year={2018}
}
@inproceedings{li2020dividemix,
title={{DivideMix}: Learning with Noisy Labels as Semi-Supervised Learning},
author={Li, Junnan and Socher, Richard and Hoi, Steven C. H.},
booktitle={International Conference on Learning Representations},
year={2020}
}
@inproceedings{ren2018learning,
title={Learning to Reweight Examples for Robust Deep Learning},
author={Ren, Mengye and Zeng, Wenyuan and Yang, Bin and Urtasun, Raquel},
booktitle={Proceedings of the 35th International Conference on Machine Learning},
pages={4334--4343},
year={2018}
}
@inproceedings{feng2020can,
title={Can Cross Entropy Loss Be Robust to Label Noise?},
author={Feng, Lei and Shu, Senlin and Lin, Zhuoyi and Lv, Fengmei and Li, Li and An, Bo},
booktitle={Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence},
pages={2206--2212},
year={2020}
}
@inproceedings{zhou2021asymmetric,
title={Asymmetric Loss Functions for Learning with Noisy Labels},
author={Zhou, Xiong and Liu, Xianming and Jiang, Junjun and Gao, Xin and Ji, Xiangyang},
booktitle={Proceedings of the 38th International Conference on Machine Learning},
pages={12846--12856},
year={2021}
}