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Towards Evaluating and Training Verifiably Robust Neural Networks


Apr 05, 2021
Zhaoyang Lyu, Minghao Guo, Tong Wu, Guodong Xu, Kehuan Zhang, Dahua Lin

* Accepted to CVPR 2021 (Oral) 

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Texture Memory-Augmented Deep Patch-Based Image Inpainting


Sep 28, 2020
Rui Xu, Minghao Guo, Jiaqi Wang, Xiaoxiao Li, Bolei Zhou, Chen Change Loy

* Technical Report 

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When NAS Meets Robustness: In Search of Robust Architectures against Adversarial Attacks


Nov 26, 2019
Minghao Guo, Yuzhe Yang, Rui Xu, Ziwei Liu

* First two authors contributed equally 

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AM-LFS: AutoML for Loss Function Search


May 17, 2019
Chuming Li, Chen Lin, Minghao Guo, Wei Wu, Wanli Ouyang, Junjie Yan


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Online Hyper-parameter Learning for Auto-Augmentation Strategy


May 17, 2019
Chen Lin, Minghao Guo, Chuming Li, Wei Wu, Dahua Lin, Wanli Ouyang, Junjie Yan


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See the World through Network Cameras


Apr 14, 2019
Yung-Hsiang Lu, George K. Thiruvathukal, Ahmed S. Kaseb, Kent Gauen, Damini Rijhwani, Ryan Dailey, Deeptanshu Malik, Yutong Huang, Sarah Aghajanzadeh, Minghao Guo

* This paper is accepted by IEEE Computer for publication 

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IRLAS: Inverse Reinforcement Learning for Architecture Search


Dec 14, 2018
Minghao Guo, Zhao Zhong, Wei Wu, Dahua Lin, Junjie Yan


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