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Expected Calibration Error

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RESEARCH · CL_43559 · May 20 · 11:45

New loss function improves model confidence calibration under data shifts

Researchers have developed a new method called Expectation Consistency Loss (ECL) to improve confidence calibration in classification models, particularly when dealing with covariate shifts. This approach rethinks calib…

New loss function improves model confidence calibration under data shifts