AINeutralarXiv – CS AI · 10h ago6/10
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New Smooth Loss functions for Robust Regression that Closely Approximate Absolute Error and Provide Improved Performance on Datasets With Significant Outliers
Researchers introduce two new differentiable loss functions—Square Root Loss (SRL) and Smooth Mean Absolute Error (SMAE)—that better approximate Mean Absolute Error while improving robustness in regression tasks with outlier-heavy datasets. These functions address limitations of existing approaches like MSE and MAE by providing superior mathematical properties and training stability.