[Re] When Does Label Smoothing Help?
A replication concerning label smoothing in neural-network training.
External publication. Published by its original venue; not published in our journal.
How does smoothing strength alter accuracy, log loss and calibration on a fixed validation protocol?
An independent scorer uses saved probabilities and evaluator-owned labels; hyperparameter selection is separated from final testing.
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Source and permission context
Wagner, Sven Dominik; Kurowski, Yann Philipp; Holländer, Leonhard Moritz; Uelwer, Tobias. [Re] When Does Label Smoothing Help?. ReScience C 10(1), #1; 10.5281/zenodo.14953654.
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