1. Arazo, E., Ortego, D., Albert, P., et al. (2019). Unsupervised label noise modeling and loss correction. In: ICML
2. Arpit, D., Jastrzkebski, S., Ballas, N., et al. (2017). A closer look at memorization in deep networks. In: ICML
3. Bai, Y., & Liu, T. (2021). Me-momentum: Extracting hard confident examples from noisily labeled data. In: ICCV
4. Bai, Y., Yang, E., Han, B., et al. (2021). Understanding and improving early stopping for learning with noisy labels. In: NeurIPS
5. Bao, F., Wu, G., Li, C., et al. (2021). Stability and generalization of bilevel programming in hyperparameter optimization. In: NeurIPS