Neural Architecture Search With a Lightweight Transformer for Text-to-Image Synthesis-Reference-Cited by-同舟云学术

Neural Architecture Search With a Lightweight Transformer for Text-to-Image Synthesis

Author:

Li Wei¹^ORCID,Wen Shiping²^ORCID,Shi Kaibo³^ORCID,Yang Yin⁴^ORCID,Huang Tingwen⁵^ORCID

Affiliation:

1. School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan, China

2. Australian AI Institute, Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney, NSW, Australia

3. School of Information Science and Engineering, Chengdu University, Chengdu, Sichuan, China

4. College of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar

5. Science Program, Texas A&M University at Qatar, Doha, Qatar

Funder

National Natural Science Foundation of China

Qatar National Research Fund

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Control and Systems Engineering

Link

Reference64 articles.

1. Large-scale evolution of image classifiers;real;Proc 34th Int Conf Mach Learn,0

2. Proxylessnas: Direct neural architecture search on target task and hardware;cai,0

3. DARTS: Differentiable architecture search;liu,2018

4. Efficient neural architecture search via parameter sharing;pham;Proc Int Conf Mach Learn,2018

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