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UnrealNAS: Can We Search Neural Architectures with Unreal Data?. (arXiv:2205.02162v1 [cs.CV])
May 5, 2022, 1:10 a.m. | Zhen Dong, Kaicheng Zhou, Guohao Li, Qiang Zhou, Mingfei Guo, Bernard Ghanem, Kurt Keutzer, Shanghang Zhang
cs.CV updates on arXiv.org arxiv.org
Neural architecture search (NAS) has shown great success in the automatic
design of deep neural networks (DNNs). However, the best way to use data to
search network architectures is still unclear and under exploration. Previous
work [19, 46] has analyzed the necessity of having ground-truth labels in NAS
and inspired broad interest. In this work, we take a further step to question
whether real data is necessary for NAS to be effective. The answer to this
question is important for …
More from arxiv.org / cs.CV updates on arXiv.org
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