Architecture Performance Evaluation on PNAS search space CIFAR
0.758Spearman CorrelationFT-ScoreNet
Evaluation Results
| Method | Links | |
|---|---|---|
| FT-ScoreNetTraining Dataset=Amoeba, Normalization=V-Norm2023.08 | 0.758 | |
| FT-ScoreNetTraining Dataset=PNAS, Normalization=V-Norm2023.08 | 0.723 | |
| FT-ScoreNetTraining Dataset=ENAS, Normalization=V-Norm2023.08 | 0.696 | |
| FT-ScoreNetTraining Dataset=DARTS, Normalization=V-Norm2023.08 | 0.682 | |
| FT-ScoreNetTraining Dataset=NASNet, Normalization=V-Norm2023.08 | 0.58 | |
| ParamsNormalization=V-Norm, Category=Handcrafted2023.08 | 0.541 | |
| NASWOTNormalization=V-Norm, Category=Handcrafted2023.08 | 0.496 | |
| Zen-ScoreNormalization=V-Norm, Category=Handcrafted2023.08 | 0.259 | |
| FT-ScoreNetTraining Dataset=Macro, Normalization=V-Norm2023.08 | 0.116 | |
| FT-ScoreNetTraining Dataset=NB201, Normalization=V-Norm2023.08 | 0.029 | |
| FT-ScoreNetTraining Dataset=NB101, Normalization=V-Norm2023.08 | -0.091 |