Becks Simpson

Saliency is a Possible Red Herring When Diagnosing Poor Generalization

Poor generalization is one symptom of models that learn to predict target variables using spuriously-correlated image features present only in the training distribution instead of the true image features that denote a class. It is often thought that this can be diagnosed visually using attribution (…