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News/Expectation Consistency Loss: Rethink Confidence Calibration under Covariate Shift
arxiv
PublishedMay 22, 2026 at 4:00 AM
—neutral

Expectation Consistency Loss: Rethink Confidence Calibration under Covariate Shift

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Publisher summary· verbatim

arXiv:2605.21552v1 Announce Type: new Abstract: Confidence calibration for classification models is vital in safety-critical decision-making scenarios and has received extensive attention. General confidence calibration methods assume training and test data are independent and identically distribute

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#calibration#covariate-shift#domain-adaptation#machine-learning

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Source
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arxiv
Read original ↗All from arxiv →
Tags
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#calibration#covariate-shift#domain-adaptation#machine-learning

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