Mitigating Memorization in Sample Selection for Learning with Noisy Labels

Kyeongbo Kong, Junggi Lee, Youngchul Kwak +3

Because deep learning is vulnerable to noisy labels, sample selection techniques, which train networks with only clean labeled data, have attracted a great attention. However, if t…