Architecture Performance Evaluation on CIFAR Macro search space
0.979Spearman CorrelationFT-ScoreNet
Evaluation Results
| Method | Links | |
|---|---|---|
| FT-ScoreNetTraining Dataset=Macro, Normalization=V-Norm2023.08 | 0.979 | |
| NASWOTNormalization=V-Norm, Category=Handcrafted2023.08 | 0.9 | |
| FT-ScoreNetTraining Dataset=NB201, Normalization=V-Norm2023.08 | 0.754 | |
| FT-ScoreNetTraining Dataset=DARTS, Normalization=V-Norm2023.08 | 0.71 | |
| Zen-ScoreNormalization=V-Norm, Category=Handcrafted2023.08 | 0.682 | |
| FT-ScoreNetTraining Dataset=NASNet, Normalization=V-Norm2023.08 | 0.65 | |
| FT-ScoreNetTraining Dataset=PNAS, Normalization=V-Norm2023.08 | 0.598 | |
| FT-ScoreNetTraining Dataset=ENAS, Normalization=V-Norm2023.08 | 0.591 | |
| FT-ScoreNetTraining Dataset=Amoeba, Normalization=V-Norm2023.08 | 0.54 | |
| ParamsNormalization=V-Norm, Category=Handcrafted2023.08 | 0.317 | |
| FT-ScoreNetTraining Dataset=NB101, Normalization=V-Norm2023.08 | 0.312 |