Confounder-Free Continual Learning via Recursive Feature Normalization

Yash Shah, Camila Gonzalez, Mohammad H. Abbasi +3

Confounders are extraneous variables that affect both the input and the target, resulting in spurious correlations and biased predictions. There are recent advances in dealing with…