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May, 2020
关于具有感知对齐梯度的模型的优点
On the Benefits of Models with Perceptually-Aligned Gradients
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Gunjan Aggarwal, Abhishek Sinha, Nupur Kumari, Mayank Singh
TL;DR
本文研究了在对抗训练中利用最大扰动界限限制来获得可解释的、感知对齐特征,并证明这种方法可以提高零样本和弱监督定位任务的性能。
Abstract
adversarial robust models
have been shown to learn more robust and
interpretable features
than standard trained models. As shown in [\cite{tsipras2018robustness}], such robust models inherit useful interpretable
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