Yao Shu, Yizhou Chen, Zhongxiang Dai, Bryan Kian Hsiang Low
TL;DR本文介绍一种名为 NESBS 的新型神经集成搜索算法,可从 NAS 搜索空间中有效且高效地选择表现优秀的神经网络集成,具有在实践中优于 NAS 算法的性能表现,而且与同类算法相比成本相当。
Abstract
Recently, neural architecture search (NAS) has been applied to automate the
design of neural networks in real-world applications. A large number of
algorithms have been developed to improve the search cost or the perfor