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File:Comparison of loss functions.png

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outperforms the Squared error, Huber and Log-Cosh losses on datasets with significantly many outliers is proposed. This smooth absolute error loss function is infinitely differentiable and more closely approximates the absolute error loss compared to the Huber and Log-Cosh losses used for robust
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File:Comparison of loss functions.png
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1,024 × 538 pixels
1,545 × 811 pixels
Original file
Wikimedia Commons
description page there
You can help
https://arxiv.org/abs/2303.09935
M.Zkuba
https://orcid.org/0000-0002-3442-1642
Creative Commons
Attribution-Share Alike 4.0 International
same or compatible license
depicts
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