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cs.CV2019
Saliency is a Possible Red Herring When Diagnosing Poor Generalization
Joseph D. Viviano, Becks Simpson, Francis Dutil +2
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…
cs.CV2019
GradMask: Reduce Overfitting by Regularizing Saliency
Becks Simpson, Francis Dutil, Yoshua Bengio +1
With too few samples or too many model parameters, overfitting can inhibit the ability to generalise predictions to new data. Within medical imaging, this can occur when features a…