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Updated: Jan 11, 2026

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GCSAM:渐变的集中度意识最小化

Mohamed Hassan1, Aleksandar Vakanski1, Boyu Zhang1

  • 1Department of Computer Science, University of Idaho, Idaho Falls, ID 83402, USA.

IEEE access : practical innovations, open solutions
|November 12, 2025
PubMed
概括

梯度集中敏度意识最小化 (GCSAM) 通过稳定梯度来改善深度神经网络的泛化. 这种方法提高了模型的可靠性,特别是在关键的医学成像任务中,优于现有的技术,如敏度意识最小化.

关键词:
深度学习是一种深度学习.概括的概括是一般化的.梯度集中化 梯度集中化损失的景观 损失的景观敏度感知最小化的最小化

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