Architecture Performance Evaluation on NAS-Bench-101 CIFAR
0.877Spearman CorrelationFT-ScoreNet
Evaluation Results
| Method | Links | |
|---|---|---|
| FT-ScoreNetTraining Dataset=NB101, Normalization=V-Norm2023.08 | 0.877 | |
| FT-ScoreNetTraining Dataset=DARTS, Normalization=V-Norm2023.08 | 0.636 | |
| Zen-ScoreNormalization=V-Norm, Category=Handcrafted2023.08 | 0.628 | |
| FT-ScoreNetTraining Dataset=NASNet, Normalization=V-Norm2023.08 | 0.56 | |
| FT-ScoreNetTraining Dataset=Amoeba, Normalization=V-Norm2023.08 | 0.529 | |
| FT-ScoreNetTraining Dataset=ENAS, Normalization=V-Norm2023.08 | 0.494 | |
| FT-ScoreNetTraining Dataset=Macro, Normalization=V-Norm2023.08 | 0.463 | |
| ParamsNormalization=V-Norm, Category=Handcrafted2023.08 | 0.431 | |
| NASWOTNormalization=V-Norm, Category=Handcrafted2023.08 | 0.388 | |
| FT-ScoreNetTraining Dataset=PNAS, Normalization=V-Norm2023.08 | 0.341 | |
| FT-ScoreNetTraining Dataset=NB201, Normalization=V-Norm2023.08 | 0.34 |