arXiv · 2107.07343
Mutation is all you need
Abstract
Neural architecture search (NAS) promises to make deep learning accessible to non-experts by automating architecture engineering of deep neural networks. BANANAS is one state-of-the-art NAS method that is embedded within the Bayesian optimization framework. Recent experimental findings have demonstrated the strong performance of BANANAS on the NAS-Bench-101 benchmark being determined by its path encoding and not its choice of surrogate model. We present experimental results suggesting that the performance of BANANAS on the NAS-Bench-301 benchmark is determined by its acquisition function optimizer, which minimally mutates the incumbent.
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Lennart Schneider, Florian Pfisterer, Martin Binder, Bernd Bischl. 2021-07-04. Mutation is all you need. https://arxiv.org/abs/2107.07343
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