1. Invariant risk minimization;Arjovsky,2020
2. A closer look at memorization in deep networks;Arpit,2017
3. Active bias: Training more accurate neural networks by emphasizing high variance samples;Chang,2017
4. Chen, P., Chen, G., Ye, J., Zhao, J., & Heng, P.-A. (2021). Noise against noise: Stochastic label noise helps combat inherent label noise. In International conference on learning representations.
5. Understanding and utilizing deep neural networks trained with noisy labels;Chen,2019