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Saman K. Halgamuge

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Jun 2026

FedLAS: Feature-Modulated Bidirectional Label Smoothing for Neural Network Calibration

This work proposes FedLAS: Feature-Modulated Bidirectional Label Smoothing, a plug-and-play algorithm for label smoothing-based losses that consistently improves calibration compared to modern baselines, reducing Expected Calibration Error (ECE) and Adaptive ECE while maintaining Top-1 accuracy.

Thiru Thillai Nadarasar Bahavan, Sachith Seneviratne, Saman K. Halgamuge · 0 citations