LRNAS: Differentiable Searching for Adversarially Robust Lightweight Neural Architecture-Reference-Cited by-同舟云学术

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LRNAS: Differentiable Searching for Adversarially Robust Lightweight Neural Architecture

Published:2024 Issue: Volume: Page:1-15
ISSN:2162-237X
Container-title:IEEE Transactions on Neural Networks and Learning Systems
language:
Short-container-title:IEEE Trans. Neural Netw. Learning Syst.

Author:

Feng Yuqi¹,Lv Zeqiong¹^ORCID,Chen Hongyang²^ORCID,Gao Shangce³^ORCID,An Fengping⁴,Sun Yanan¹^ORCID

Affiliation:

1. College of Computer Science, Sichuan University, Chengdu, China

2. Research Center for Graph Computing, Zhejiang Laboratory, Hangzhou, China

3. Faculty of Engineering, University of Toyama, Toyama, Japan

4. School of Automation and Software Engineering, Shanxi University, Taiyuan, China

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Open Fund of the Key Laboratory of the Ministry of Culture and Tourism of Zhejiang Conservatory of Music

Research and Develop Program of West China Hospital of Stomatology Sichuan University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/5962385/6104215/10490151.pdf?arnumber=10490151

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