Learning from Failure: Training Debiased Classifier from Biased Classifier

Junhyun Nam, Hyuntak Cha, Sungsoo Ahn +2

Neural networks often learn to make predictions that overly rely on spurious correlation existing in the dataset, which causes the model to be biased. While previous work tackles t…