Neural Architecture Search on NAS-Bench-101 CIFAR-10 (test)
94.32AccuracyOptimal
Evaluation results
| Method | Links | ||
|---|---|---|---|
| Optimal2021.08 | 94.32 | — | |
| Optimum*2022.03 | 94.32 | — | |
| WeakNASQueries=2002022.03 | 94.18 | — | |
| AG-NetQueries=1922022.03 | 94.18 | — | |
| XGB + rankingQueries=1922022.03 | 94.14 | — | |
| XGBQueries=1922022.03 | 94.13 | — | |
| Arch2vec + RLQueries=4002022.03 | 94.1 | — | |
| BANANASQueries=1922022.03 | 94.09 | — | |
| Arch2vec + BOQueries=4002022.03 | 94.05 | — | |
| Local SearchQueries=1922022.03 | 93.97 | — | |
| Bayesian OptimizationQueries=1922022.03 | 93.96 | — | |
| AREASearch (s)=120002020.06 | 93.91 | — | |
| Regularized EvolutionQueries=1922022.03 | 93.89 | — | |
| REASearch (s)=120002020.06 | 93.87 | — | |
| Random SearchQueries=1922022.03 | 93.61 | — | |
| NAOQueries=1922022.03 | 93.49 | — | |
| NASWOTSearch (s)=23, Sample size N=1002020.06 | 91.77 | — | |
| RandomSearch (s)=N/A2020.06 | 90.38 | — | |
| AUTOMATABudget (b)=0.05|D|2024.09 | — | 5.26 | |
| AUTOMATABudget (b)=0.1|D|2024.09 | — | 3.39 | |
| RandomBudget (b)=0.05|D|2024.09 | — | 5.44 | |
| RandomBudget (b)=0.1|D|2024.09 | — | 3.72 | |
| SUBSELNETBudget (b)=0.05|D|2024.09 | — | 4.11 | |
| SUBSELNETBudget (b)=0.1|D|2024.09 | — | 2.7 |