URL details: joneswong.github.io/automl/2020/08/01/a-note-on-understanding-and-simplifying-one-shot-architecture-search.html
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A Note on Understanding and Simplifying One-shot Architecture Search | Asphalt
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Today, we studied the ICML18 paper Understanding and Simplifying One-shot Architecture Search. This paper empirically discusses the long-term concerns of one-shot NAS: By weight-sharing, does the performance of a stand-alone model correlates with that of its corresponding one-shot model? If it is correlated, what does the training of one-shot model actually learn? Which tricks for training the one-shot model are helpful for improving the correlations?
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