系统地调查稀疏扰乱的敏度意识最小化优化器

概括

稀疏SAM (SSAM) 通过将稀疏扰动应用于深度神经网络训练来降低计算开销. 这种高效的方法与50%稀疏度的度意识最小化 (SAM) 相比,保持或提高了性能.

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