Learning With Noisy Labels Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels [NIPS 2018] Bo Han, Quanming Yao, Xingrui Yu, Gang Niu, Miao Xu, Weihua Hu, Ivor Tsang, Masashi Sugiyama. Memorization effects: DNN first learning cleaning data, and then overfitting in noisy data. Co-teaching set two same NN architectures, and simultaneously training. Evert mini-batch, change small-loss updating parameters.