40 citations · 70 across the 3 of their papers we have counts for
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cs.CV2019
EAT-NAS: Elastic Architecture Transfer for Accelerating Large-scale Neural Architecture Search
Jiemin Fang, Yukang Chen, Xinbang Zhang +5
Neural architecture search (NAS) methods have been proposed to release human experts from tedious architecture engineering. However, most current methods are constrained in small-s…
cs.CV2018★ 19 cited
Joint Neural Architecture Search and Quantization
Yukang Chen, Gaofeng Meng, Qian Zhang +4
Designing neural architectures is a fundamental step in deep learning applications. As a partner technique, model compression on neural networks has been widely investigated to gea…
cs.CV2018★ 40 cited
You Only Search Once: Single Shot Neural Architecture Search via Direct Sparse Optimization
Xinbang Zhang, Zehao Huang, Naiyan Wang
Recently Neural Architecture Search (NAS) has aroused great interest in both academia and industry, however it remains challenging because of its huge and non-continuous search spa…