Abstract: Sharpness-Aware Minimization (SAM) has proven highly effective in improving model generalization in machine learning tasks. However, SAM employs a fixed hyperparameter associated with the ...
Abstract: Effective clinical deployment of deep learning models in healthcare demands high generalization performance to ensure accurate diagnosis and treatment planning. In recent years, significant ...
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This blade pushes sharpness to the limit
Sharpness isn’t just about cutting power. This video explains how edge geometry, materials, and brittleness interact. Past a certain point, sharper actually means weaker. The build reveals where ...
Recent studies on deep ensembles have identified the sharpness of the local minima of individual learners and the diversity of the ensemble members as key factors in improving test-time performance.
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