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Isabel Valera

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#artificial intelligence Preprint Oct 2026

Calibration in One Go: Jointly Learning Accurate and Calibrated Neural Networks

This paper shows that standard (post-hoc) calibrators can be trained end-to-end with the backbone via a bilevel Stackelberg formulation, and shows that using the final classification layer itself as the calibrator yields accurate, well-calibrated models with no additional parameters.

Nektarios G. Kalampalikis, Pablo M. Olmos, Isabel Valera · 0 citations

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