Neural architecture search: Difference between revisions

Revision as of 10:01, 4 March 2022

Revision as of 10:15, 4 March 2022

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==NAS Benchmarks==

NAS research is often very computationally expensive which makes it difficult to reproduce experiments and imposes a barrier-to-entry to researchers without access to large-scale computation<ref>Ying, C., Klein, A., Christiansen, E., Real, E., Murphy, K., & Hutter, F. (2019, May). Nas-bench-101: Towards reproducible neural architecture search. In International Conference on Machine Learning (pp. 7105-7114). PMLR.</ref>. Tabular or surrogate NAS benchmarks facilitates more efficient, effective and reproducible research on NAS.

Following is the list of the most popular NAS benchmarks:

# NAS-Bench-101

# NAS-Bench-201

# NAS-Bench-1shot1

# NAS-Bench-301

# NAS-Bench-ASR

# NAS-Bench-NLP

# TransNAS-Bench-101

# LC-Bench

# NAS-Bench-x11

# NAS-Bench-Suite

==See also==