Architecture Performance Evaluation on NAS-Bench-201 CIFAR
0.939Spearman CorrelationFT-ScoreNet
Evaluation Results
| Method | Links | |
|---|---|---|
| FT-ScoreNetTraining Dataset=NB201, Normalization=V-Norm2023.08 | 0.939 | |
| NASWOTNormalization=V-Norm, Category=Handcrafted2023.08 | 0.824 | |
| FT-ScoreNetTraining Dataset=Amoeba, Normalization=V-Norm2023.08 | 0.789 | |
| FT-ScoreNetTraining Dataset=PNAS, Normalization=V-Norm2023.08 | 0.789 | |
| FT-ScoreNetTraining Dataset=ENAS, Normalization=V-Norm2023.08 | 0.756 | |
| ParamsNormalization=V-Norm, Category=Handcrafted2023.08 | 0.725 | |
| FT-ScoreNetTraining Dataset=Macro, Normalization=V-Norm2023.08 | 0.721 | |
| FT-ScoreNetTraining Dataset=NB101, Normalization=V-Norm2023.08 | 0.704 | |
| FT-ScoreNetTraining Dataset=DARTS, Normalization=V-Norm2023.08 | 0.695 | |
| Zen-ScoreNormalization=V-Norm, Category=Handcrafted2023.08 | 0.429 | |
| FT-ScoreNetTraining Dataset=NASNet, Normalization=V-Norm2023.08 | 0.39 |