Architecture Performance Evaluation on Amoeba search space CIFAR
0.797Spearman CorrelationFT-ScoreNet
Evaluation Results
| Method | Links | |
|---|---|---|
| FT-ScoreNetTraining Dataset=Amoeba, Normalization=V-Norm2023.08 | 0.797 | |
| FT-ScoreNetTraining Dataset=PNAS, Normalization=V-Norm2023.08 | 0.755 | |
| FT-ScoreNetTraining Dataset=DARTS, Normalization=V-Norm2023.08 | 0.709 | |
| FT-ScoreNetTraining Dataset=ENAS, Normalization=V-Norm2023.08 | 0.704 | |
| FT-ScoreNetTraining Dataset=NASNet, Normalization=V-Norm2023.08 | 0.662 | |
| ParamsNormalization=V-Norm, Category=Handcrafted2023.08 | 0.343 | |
| FT-ScoreNetTraining Dataset=NB201, Normalization=V-Norm2023.08 | 0.335 | |
| FT-ScoreNetTraining Dataset=Macro, Normalization=V-Norm2023.08 | 0.289 | |
| NASWOTNormalization=V-Norm, Category=Handcrafted2023.08 | 0.276 | |
| FT-ScoreNetTraining Dataset=NB101, Normalization=V-Norm2023.08 | 0.22 | |
| Zen-ScoreNormalization=V-Norm, Category=Handcrafted2023.08 | -0.046 |