From Noisy Prediction to True Label: Noisy Prediction Calibration via Generative Model

HeeSun Bae, Seungjae Shin, Byeonghu Na +3

Noisy labels are inevitable yet problematic in machine learning society. It ruins the generalization of a classifier by making the classifier over-fitted to noisy labels. Existing…