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Thiru Thillai Nadarasar Bahavan

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#machine learning Preprint Oct 2026

SmoothOperator: Enhancing Representations for Fine-grained Open-set Recognition via Modulated Label Smoothing

A plug-in, SmoothOperator (SmoothOP), which sets the smoothing coefficient of each sample from its prominence, an embedding-space signal measuring how clearly the sample's own class stands out against its strongest competing class, integrates into four existing spherical representation learning methods at minimal train...

Thiru Thillai Nadarasar Bahavan, Yu Xia, Sachith Seneviratne et al. · 0 citations

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 · arXiv.org · 0 citations