Local Search is State of the Art for Neural Architecture Search Benchmarks

By Colin White, Sam Nolen, Yash Savani. 2020

13 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Colin White
2. Willie Neiswanger
3. Julien N. Siems
4. Yash Savani
5. Arber Zela
6. Lucas Zimmer
7. Frank Hutter
8. Jovita Lukasik

Citations in the corpus

• BANANAS: Bayesian Optimization with Neural Architectures for Neural Architecture Search (2019, methodology): “We compare BANANAS to DARTS (Liu, Simonyan, and Yang 2018), random search (Liu, Simonyan, and Yang 2018), local search (White, Nolen, and Savani 2020), and ASHA (Li and Talwalkar 2019).”
• NAS-Bench-301 and the Case for Surrogate Benchmarks for Neural Architecture Search (2020, background): “As recently shown by White et al. (2020a), this representation can be critical for the performance of a NAS optimizer.”