NAS-Bench-201
Introduced by Dong et al. in NAS-Bench-201: Extending the Scope of Reproducible Neural Architecture Search
NAS-Bench-201 is a benchmark (and search space) for neural architecture search. Each architecture consists of a predefined skeleton with a stack of the searched cell. In this way, architecture search is transformed into the problem of searching a good cell.
Source: NAS-Bench-201: Extending the Scope of Reproducible Neural Architecture SearchBenchmarks
| Trend | Task | Dataset Variant | Best Model | Paper | Code |
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NAS-Bench-201, ImageNet-16-120
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CR-LSO
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NAS-Bench-201, CIFAR-100
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DiNAS
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NAS-Bench-201, CIFAR-10
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DiNAS
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NAS-Bench-201
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Improved FireFly Algorithme
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Papers
| Paper | Code | Results | Date | Stars |
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