Learning with Open-world Noisy Data via Class-independent Margin in Dual Representation Space

Linchao Pan, Can Gao, Jie Zhou +1

Learning with Noisy Labels (LNL) aims to improve the model generalization when facing data with noisy labels, and existing methods generally assume that noisy labels come from know…