Nilesh Kumar

Perturbation Sensitivity at Convergence: A Simple Signal for Identifying Spuriously Correlated Samples

It is shown that a usable signal is available after convergence, when loss no longer distinguishes the two populations, and applying a fixed perturbation to a converged model's inputs flips the predictions of the latter far more often than the former.