Accuracy Prediction on NAS-Bench-201 (10% train)
0.901Kendall's TauNAR-Former
Evaluation Results
| Method | Links | |
|---|---|---|
| NAR-FormerBackbone=Transformer, Self-evolution strategy (SE)=false2023.06 | 0.901 | |
| NAR-Former V2Backbone=Transformer, Self-evolution strategy (SE)=false2023.06 | 0.888 | |
| TNASP + SEBackbone=Transformer, Self-evolution strategy (SE)=true2023.06 | 0.726 | |
| TNASPBackbone=Transformer, Self-evolution strategy (SE)=false2023.06 | 0.724 | |
| NP + SEBackbone=GNN, Self-evolution strategy (SE)=true2023.06 | 0.649 | |
| NPBackbone=GNN, Self-evolution strategy (SE)=false2023.06 | 0.646 | |
| NAO + SEBackbone=LSTM, Self-evolution strategy (SE)=true2023.06 | 0.528 | |
| NAOBackbone=LSTM, Self-evolution strategy (SE)=false2023.06 | 0.526 |