133 citations · 344 across the 9 of their papers we have counts for
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cs.LG2021
Training BatchNorm Only in Neural Architecture Search and Beyond
Yichen Zhu, Jie Du, Yuqin Zhu +4
This work investigates the usage of batch normalization in neural architecture search (NAS). Specifically, Frankle et al. find that training BatchNorm only can achieve nontrivial p…
cs.LG2020★ 5 cited
NPAS: A Compiler-aware Framework of Unified Network Pruning and Architecture Search for Beyond Real-Time Mobile Acceleration
Zhengang Li, Geng Yuan, Wei Niu +13
With the increasing demand to efficiently deploy DNNs on mobile edge devices, it becomes much more important to reduce unnecessary computation and increase the execution speed. Pri…