Search Results for author: Mahmoud Safari

Found 2 papers, 1 papers with code

NAS-Bench-Suite: NAS Evaluation is (Now) Surprisingly Easy

1 code implementation ICLR 2022 Yash Mehta, Colin White, Arber Zela, Arjun Krishnakumar, Guri Zabergja, Shakiba Moradian, Mahmoud Safari, Kaicheng Yu, Frank Hutter

The release of tabular benchmarks, such as NAS-Bench-101 and NAS-Bench-201, has significantly lowered the computational overhead for conducting scientific research in neural architecture search (NAS).

Image Classification Neural Architecture Search +4

SuperCoder: Program Learning Under Noisy Conditions From Superposition of States

no code implementations7 Dec 2020 Ali Davody, Mahmoud Safari, Răzvan V. Florian

We propose a new method of program learning in a Domain Specific Language (DSL) which is based on gradient descent with no direct search.

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