Distinction Maximization Loss: Efficiently Improving Classification Accuracy, Uncertainty Estimation, and Out-of-Distribution Detection Simply Replacing the Loss and Calibrating.
David MacêdoCleber ZanchettinTeresa Bernarda LudermirPublished in: CoRR (2022)