GCSAM combines Gradient Centralization with Sharpness-Aware Minimization and reports modest, unrepeated test accuracy improvements over SAM and Adam in image classification.
Riemannian approach to batch normalization
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GCSAM: Gradient Centralized Sharpness Aware Minimization
GCSAM combines Gradient Centralization with Sharpness-Aware Minimization and reports modest, unrepeated test accuracy improvements over SAM and Adam in image classification.