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"Distinction Maximization Loss: Efficiently Improving Classification ..."

David Macêdo, Cleber Zanchettin, Teresa Bernarda Ludermir (2022)

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DOI: 10.48550/ARXIV.2205.05874

access: open

type: Informal or Other Publication

metadata version: 2022-05-17

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  - journals/corr/abs-2205-05874
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  - https://dblp.org/rec/journals/corr/abs-2205-05874
David Macêdo, Cleber Zanchettin, Teresa Bernarda Ludermir:
Distinction Maximization Loss: Efficiently Improving Classification Accuracy, Uncertainty Estimation, and Out-of-Distribution Detection Simply Replacing the Loss and Calibrating. CoRR abs/2205.05874 (2022)

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