BriefGPT.xyz
May, 2021
斜交卷积
Skew Orthogonal Convolutions
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Sahil Singla, Soheil Feizi
TL;DR
通过使用Skew Orthogonal Convolution(SOC)方法(一种梯度保持(GNP)卷积的优化算法),这篇论文在CIFAR-10数据集上获得了高准确度,同时提高了标准和认证的强健性。
Abstract
Training
convolutional neural networks
with a
lipschitz constraint
under the $l_{2}$ norm is useful for provable adversarial robustness, interpretable gradients, stable training, etc. While 1-Lipschitz networks c
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