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Author

Yoshikazu Hayashi

2 papers indexed here

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Preprint Sep 2026

Sparsity-Adaptive Sharpness-Aware Minimization

Sparsity-Adaptive Sharpness-Aware Minimization (SA-SAM), which derives a sparsity-dependent SAM/ASAM perturbation radius by keeping the mean absolute perturbation approximately invariant as sparsity increases, is introduced.

Shiryu Ueno, Yoshikazu Hayashi, Kunihito Kato · 0 citations
#machine learning Preprint Aug 2026

Temperature-Adaptive Transformed Teacher Matching

This paper introduces a sample-wise inverse-temperature update for TTM by locally minimizing the Kullback-Leibler divergence between the temperature-scaled teacher distribution and the student's prediction and derives closed-form first and second derivatives with respect to the inverse temperature.

Hiroaki Aizawa, Yoshikazu Hayashi · 0 citations

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