%0 Journal Article %1 journals/corr/abs-2205-05874 %A Macêdo, David %A Zanchettin, Cleber %A Ludermir, Teresa Bernarda %D 2022 %J CoRR %K dblp %T Distinction Maximization Loss: Efficiently Improving Classification Accuracy, Uncertainty Estimation, and Out-of-Distribution Detection Simply Replacing the Loss and Calibrating. %U http://dblp.uni-trier.de/db/journals/corr/corr2205.html#abs-2205-05874 %V abs/2205.05874

@article{journals/corr/abs-2205-05874, added-at = {2022-05-17T00:00:00.000+0200}, author = {Macêdo, David and Zanchettin, Cleber and Ludermir, Teresa Bernarda}, biburl = {https://www.bibsonomy.org/bibtex/2de2834c97c6413862f060340e82ff7bc/dblp}, ee = {https://doi.org/10.48550/arXiv.2205.05874}, interhash = {9f407dadd440749b6a45d593b54442e9}, intrahash = {de2834c97c6413862f060340e82ff7bc}, journal = {CoRR}, keywords = {dblp}, timestamp = {2024-04-08T22:40:03.000+0200}, title = {Distinction Maximization Loss: Efficiently Improving Classification Accuracy, Uncertainty Estimation, and Out-of-Distribution Detection Simply Replacing the Loss and Calibrating.}, url = {http://dblp.uni-trier.de/db/journals/corr/corr2205.html#abs-2205-05874}, volume = {abs/2205.05874}, year = 2022 }