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cs.LG2023★ 2 cited
Differentiable Search of Accurate and Robust Architectures
Yuwei Ou, Xiangning Xie, Shangce Gao +3
Deep neural networks (DNNs) are found to be vulnerable to adversarial attacks, and various methods have been proposed for the defense. Among these methods, adversarial training has…
cs.NE2023★ 1 cited
Efficient Evaluation Methods for Neural Architecture Search: A Survey
Xiaotian Song, Xiangning Xie, Zeqiong Lv +4
Neural Architecture Search (NAS) has received increasing attention because of its exceptional merits in automating the design of Deep Neural Network (DNN) architectures. However, t…