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Line 43: ==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 name=":1">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~~facilitate more efficient, effective and reproducible research on NAS. Following is the list of the most popular NAS benchmarks:

Neural architecture search: Difference between revisions