Architecture Performance Evaluation on NASNet search space CIFAR
0.803Spearman CorrelationFT-ScoreNet
Evaluation Results
| Method | Links | |
|---|---|---|
| FT-ScoreNetTraining Dataset=NASNet, Normalization=V-Norm2023.08 | 0.803 | |
| FT-ScoreNetTraining Dataset=ENAS, Normalization=V-Norm2023.08 | 0.713 | |
| FT-ScoreNetTraining Dataset=Amoeba, Normalization=V-Norm2023.08 | 0.699 | |
| FT-ScoreNetTraining Dataset=PNAS, Normalization=V-Norm2023.08 | 0.648 | |
| FT-ScoreNetTraining Dataset=DARTS, Normalization=V-Norm2023.08 | 0.633 | |
| FT-ScoreNetTraining Dataset=Macro, Normalization=V-Norm2023.08 | 0.453 | |
| FT-ScoreNetTraining Dataset=NB201, Normalization=V-Norm2023.08 | 0.442 | |
| NASWOTNormalization=V-Norm, Category=Handcrafted2023.08 | 0.418 | |
| ParamsNormalization=V-Norm, Category=Handcrafted2023.08 | 0.411 | |
| FT-ScoreNetTraining Dataset=NB101, Normalization=V-Norm2023.08 | 0.199 | |
| Zen-ScoreNormalization=V-Norm, Category=Handcrafted2023.08 | 0.102 |