no code implementations • 20 Nov 2022 • Lefan Zhang, Zhang-Hao Tian, Wujun Zhou, Wei Wang
Specifically, we separate the noisy training data into clean labeled set and unlabeled set with sample selection, and train the deep neural network in a semi-supervised manner with a balanced loss based on model bias.