Neural Architecture Search on CIFAR-10 NAS-Bench-201 (val)
94.37AccuracyDCL-ENAS
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| DCL-ENASBudget=100, Optimized type=EA2025.12 | 94.37 | — | — | — | 1 | |
| arch2vec-BOBudget=100, Optimized type=BO2025.12 | 94.36 | — | — | — | 2 | |
| CAPBudget=100, Optimized type=EA2025.12 | 94.34 | — | — | — | 3 | |
| NPENAS-NPBudget=100, Optimized type=EA2025.12 | 94.33 | — | — | — | 5 | |
| SAENAS-NEBudget=100, Optimized type=EA2025.12 | 94.33 | — | — | — | 4 | |
| NPENAS-SSCCLBudget=100, Optimized type=EA2025.12 | 94.3 | — | — | — | 6 | |
| local-searchBudget=1002025.12 | 94.28 | — | — | — | 7 | |
| BOGCN-NASBudget=100, Optimized type=BO2025.12 | 94.27 | — | — | — | 9 | |
| NPENAS-SSRLBudget=100, Optimized type=EA2025.12 | 94.27 | — | — | — | 8 | |
| BANANAS-AEBudget=100, Optimized type=BO2025.12 | 94.26 | — | — | — | 10 | |
| arch2vec-RLBudget=100, Optimized type=RL2025.12 | 94.25 | — | — | — | 11 | |
| BANANAS-PAPEBudget=100, Optimized type=BO2025.12 | 94.23 | — | — | — | 12 | |
| GP-BOBudget=100, Optimized type=BO2025.12 | 94.21 | — | — | — | 13 | |
| REABudget=100, Optimized type=EA2025.12 | 94.1 | — | — | — | 14 | |
| BANANAS-PEBudget=100, Optimized type=BO2025.12 | 94.05 | — | — | — | 15 | |
| DNGOBudget=100, Optimized type=BO2025.12 | 94.05 | — | — | — | 16 | |
| BOHAMIANNBudget=100, Optimized type=BO2025.12 | 94.03 | — | — | — | 17 | |
| GCN-predictorBudget=100, Optimized type=R2025.12 | 93.8 | — | — | — | 18 | |
| RandomBudget=100, Optimized type=R2025.12 | 93.75 | — | — | — | 19 | |
| optimal2021.06 | 91.61 | — | — | — | — | |
| optimal2021.11 | 91.61 | — | — | — | — | |
| optimal2022.03 | 91.61 | — | — | — | — | |
| Optimum2022.03 | 91.61 | — | — | — | — | |
| AG-NetQueries=400, Search Method=Generative LSO2022.03 | 91.61 | — | — | — | — | |
| Optimum2024.03 | 91.61 | — | — | — | — | |
| DiNASQueries/Gen.=1922024.03 | 91.61 | — | — | — | — | |
| Optimal2025.09 | 91.61 | — | — | — | — | |
| AG-NetQueries=192, Search Method=Generative LSO2022.03 | 91.6 | — | — | — | — | |
| AG-NetQueries/Gen.=1922024.03 | 91.6 | — | — | — | — | |
| CoLLM-NASParadigm=LLM-based NAS methods2025.09 | 91.59 | — | — | — | — | |
| BANANASQueries=192, Search Method=Bayesian Optimization2022.03 | 91.56 | — | — | — | — | |
| BANANASQueries/Gen.=1922024.03 | 91.56 | — | — | — | — | |
| DrNAS2021.11 | 91.55 | — | — | — | — | |
| β-DARTSCost (hours)=3.22022.03 | 91.55 | — | — | — | — | |
| AG-NetQueries=96, Search Method=Generative LSO2022.03 | 91.55 | — | — | — | — | |
| B-DARTS2024.03 | 91.55 | — | — | — | — | |
| BO+Queries=192, Search Method=Bayesian Optimization2022.03 | 91.54 | — | — | — | — | |
| XGBQueries=192, Search Method=Generative LSO2022.03 | 91.54 | — | — | — | — | |
| Bayesian Opt.Queries/Gen.=1922024.03 | 91.54 | — | — | — | — | |
| CR-LSO2022.11 | 91.54 | — | — | — | — | |
| ConvNP2026.05 | 91.53 | — | — | — | — | |
| BaLeNAS-TFOptimization=Training-free proxies, Proxy=Synflow2021.11 | 91.52 | — | — | — | — | |
| LM-SearcherParadigm=LLM-based NAS methods2025.09 | 91.52 | — | — | — | — | |
| CARL2026.05 | 91.49 | — | — | — | — | |
| XGB + RankingQueries=192, Search Method=Generative LSO2022.03 | 91.48 | — | — | — | — | |
| RZ-NASParadigm=LLM-based NAS methods2025.09 | 91.45 | — | — | — | — | |
| LLMaticParadigm=LLM-based NAS methods2025.09 | 91.42 | — | — | — | — | |
| Arch2vec + BOQueries=100, Search Method=Bayesian Optimization2022.03 | 91.41 | — | — | — | — | |
| AG-NetQueries=100, Search Method=Generative LSO, topk=12022.03 | 91.41 | — | — | — | — | |
| arch2vec-BO2022.11 | 91.41 | — | — | — | — | |
| Evolutionary AlgorithmParadigm=conventional search algorithms2025.09 | 91.33 | — | — | — | — | |
| BaLeNASOrder=2nd-order2021.11 | 91.32 | — | — | — | — | |
| RE2026.05 | 91.26 | — | — | — | — | |
| RR2026.05 | 91.23 | — | — | — | — | |
| Reinforcement LearningParadigm=conventional search algorithms2025.09 | 91.2 | — | — | — | — | |
| RF2026.05 | 91.19 | — | — | — | — | |
| RS+Queries=192, Search Method=Random2022.03 | 91.12 | — | — | — | — | |
| Random SearchQueries/Gen.=1922024.03 | 91.12 | — | — | — | — | |
| REINFORCE2022.11 | 91.09 | — | — | — | — | |
| GENIUSParadigm=LLM-based NAS methods2025.09 | 91.07 | — | — | — | — | |
| BaLeNASOrder=1st-order2021.11 | 91.03 | — | — | — | — | |
| DARTS-Cost (hours)=3.22022.03 | 91.03 | — | — | — | — | |
| DARTS-Paradigm=one-shot NAS2025.09 | 91.03 | — | — | — | — | |
| RS2026.05 | 91.02 | — | — | — | — | |
| Random SearchParadigm=conventional search algorithms2025.09 | 90.96 | — | — | — | — | |
| RS2022.11 | 90.93 | — | — | — | — | |
| CAP2026.05 | 90.91 | — | — | — | — | |
| ReNAS2022.11 | 90.9 | — | — | — | — | |
| NP2026.05 | 90.87 | — | — | — | — | |
| BOHB2022.11 | 90.82 | — | — | — | — | |
| LR2026.05 | 90.72 | — | — | — | — | |
| MLP2026.05 | 90.7 | — | — | — | — | |
| XGB2026.05 | 90.21 | — | — | — | — | |
| Zero-cost NAS2021.11 | 90.19 | — | — | — | — | |
| SGNASSearch Method=Supernet2022.03 | 90.18 | — | — | — | — | |
| SGNAS2024.03 | 90.18 | — | — | — | — | |
| EG-NASParadigm=one-shot NAS2025.09 | 90.12 | — | — | — | — | |
| SNAS2022.03 | 90.1 | — | — | — | — | |
| FairNAS2022.11 | 90.07 | — | — | — | — | |
| FairNASParadigm=one-shot NAS2025.09 | 90.07 | — | — | — | — | |
| GDAS2021.11 | 90 | — | — | — | — | |
| PC-DARTS2022.03 | 89.96 | — | — | — | — | |
| PC-DARTSParadigm=one-shot NAS2025.09 | 89.96 | — | — | — | — | |
| GDASCost (hours)=8.72022.03 | 89.89 | — | — | — | — | |
| GDAS2022.11 | 89.89 | — | — | — | — | |
| GDAS2021.06 | 89.88 | — | — | — | — | |
| iDARTS2021.06 | 89.86 | — | — | — | — | |
| iDARTS2022.03 | 89.86 | — | — | — | — | |
| DSNAS2022.03 | 89.66 | — | — | — | — | |
| RandomNAS2021.11 | 85.63 | — | — | — | — | |
| SETN2021.06 | 84.04 | — | — | — | — | |
| SETN2021.11 | 84.04 | — | — | — | — | |
| Random baseline2021.11 | 83.2 | — | — | — | — | |
| RandomNAS2021.06 | 80.42 | — | — | — | — | |
| DARTS2021.06 | 39.77 | — | — | — | — | |
| DARTSOrder=1st-order2021.11 | 39.77 | — | — | — | — | |
| DARTSOrder=2nd-order2021.11 | 39.77 | — | — | — | — | |
| DARTS(1st)Cost (hours)=3.22022.03 | 39.77 | — | — | — | — | |
| DARTS(2nd)Cost (hours)=10.22022.03 | 39.77 | — | — | — | — | |
| DARTS2022.11 | 39.77 | — | — | — | — |