Learning with Instance-Dependent Label Noise: A Sample Sieve Approach

Hao Cheng, Zhaowei Zhu, Xingyu Li +3

Human-annotated labels are often prone to noise, and the presence of such noise will degrade the performance of the resulting deep neural network (DNN) models. Much of the literatu…