Architecture Performance Evaluation on ENAS search space CIFAR
0.777Spearman CorrelationFT-ScoreNet
Evaluation Results
| Method | Links | |
|---|---|---|
| FT-ScoreNetTraining Dataset=ENAS, Normalization=V-Norm2023.08 | 0.777 | |
| FT-ScoreNetTraining Dataset=Amoeba, Normalization=V-Norm2023.08 | 0.76 | |
| FT-ScoreNetTraining Dataset=DARTS, Normalization=V-Norm2023.08 | 0.735 | |
| FT-ScoreNetTraining Dataset=NASNet, Normalization=V-Norm2023.08 | 0.721 | |
| FT-ScoreNetTraining Dataset=PNAS, Normalization=V-Norm2023.08 | 0.642 | |
| ParamsNormalization=V-Norm, Category=Handcrafted2023.08 | 0.561 | |
| NASWOTNormalization=V-Norm, Category=Handcrafted2023.08 | 0.532 | |
| FT-ScoreNetTraining Dataset=NB201, Normalization=V-Norm2023.08 | 0.425 | |
| FT-ScoreNetTraining Dataset=Macro, Normalization=V-Norm2023.08 | 0.375 | |
| Zen-ScoreNormalization=V-Norm, Category=Handcrafted2023.08 | 0.232 | |
| FT-ScoreNetTraining Dataset=NB101, Normalization=V-Norm2023.08 | 0.033 |