Looking at Model Debiasing through the Lens of Anomaly Detection

Vito Paolo Pastore, Massimiliano Ciranni, Davide Marinelli +2

It is widely recognized that deep neural networks are sensitive to bias in the data. This means that during training these models are likely to learn spurious correlations between…