Neural Architecture Search on NAS-Bench-201 CIFAR-10 (test)
94.37AccuracyOptimal
Evaluation results
| Method | Links | ||
|---|---|---|---|
| Optimalsearch_run=N/A2020.04 | 94.37 | — | |
| optimal2021.06 | 94.37 | — | |
| Optimal2021.08 | 94.37 | — | |
| optimal2021.11 | 94.37 | — | |
| optimal2022.03 | 94.37 | — | |
| Optimum2022.03 | 94.37 | — | |
| AG-NetQueries=192, Search Method=Generative LSO2022.03 | 94.37 | — | |
| AG-NetQueries=400, Search Method=Generative LSO2022.03 | 94.37 | — | |
| Optimal2022.01 | 94.37 | — | |
| Optimum2024.03 | 94.37 | — | |
| AG-NetQueries/Gen.=1922024.03 | 94.37 | — | |
| TNAS2024.03 | 94.37 | — | |
| MetaD2AQueries/Gen.=5002024.03 | 94.37 | — | |
| DiffusionNAG2024.03 | 94.37 | — | |
| DiNASQueries/Gen.=1922024.03 | 94.37 | — | |
| CoLLM-NASParadigm=LLM-based NAS methods2025.09 | 94.37 | — | |
| Optimal2025.09 | 94.37 | — | |
| DrNAS2021.11 | 94.36 | — | |
| β-DARTSCost (hours)=3.22022.03 | 94.36 | — | |
| B-DARTS2024.03 | 94.36 | — | |
| CR-LSO2022.11 | 94.35 | — | |
| XGBQueries=192, Search Method=Generative LSO2022.03 | 94.34 | — | |
| GANASQueries=444, Search Method=Generative Reinforcement Learning2022.03 | 94.34 | — | |
| GANASQueries/Gen.=1412024.03 | 94.34 | — | |
| BaLeNAS-TFOptimization=Training-free proxies, Proxy=Synflow2021.11 | 94.33 | — | |
| CARL2026.05 | 94.31 | — | |
| ConvNP2026.05 | 94.31 | — | |
| BANANASQueries=192, Search Method=Bayesian Optimization2022.03 | 94.3 | — | |
| BANANASQueries/Gen.=1922024.03 | 94.3 | — | |
| LLMaticParadigm=LLM-based NAS methods2025.09 | 94.26 | — | |
| XGB + RankingQueries=192, Search Method=Generative LSO2022.03 | 94.25 | — | |
| AG-NetQueries=96, Search Method=Generative LSO2022.03 | 94.24 | — | |
| RZ-NASParadigm=LLM-based NAS methods2025.09 | 94.24 | — | |
| Evolutionary AlgorithmParadigm=conventional search algorithms2025.09 | 94.23 | — | |
| BO+Queries=192, Search Method=Bayesian Optimization2022.03 | 94.22 | — | |
| Bayesian Opt.Queries/Gen.=1922024.03 | 94.22 | — | |
| LM-SearcherParadigm=LLM-based NAS methods2025.09 | 94.2 | — | |
| Arch2vec + BOQueries=100, Search Method=Bayesian Optimization2022.03 | 94.18 | — | |
| arch2vec-BO2022.11 | 94.18 | — | |
| RR2026.05 | 94.18 | — | |
| AG-NetQueries=100, Search Method=Generative LSO, topk=12022.03 | 94.16 | — | |
| GAEA DARTS (ERM)search_run=CIFAR-10, category=Weight sharing, search_cost=90612020.04 | 94.1 | — | |
| RF2026.05 | 94.05 | — | |
| BaLeNASOrder=2nd-order2021.11 | 94.02 | — | |
| ReNAS2022.11 | 93.99 | — | |
| ResNetsearch_run=N/A2020.04 | 93.97 | — | |
| ResNetMethod=manual, Applicable Space=-2022.01 | 93.97 | — | |
| Reinforcement LearningParadigm=conventional search algorithms2025.09 | 93.94 | — | |
| REAsearch_run=CIFAR-10, category=Regular HO, search_cost=N/A2020.04 | 93.92 | — | |
| NP2026.05 | 93.92 | — | |
| RS+Queries=192, Search Method=Random2022.03 | 93.89 | — | |
| Random SearchQueries/Gen.=1922024.03 | 93.89 | — | |
| RE2026.05 | 93.88 | — | |
| REINFORCEsearch_run=CIFAR-10, category=Regular HO, search_cost=N/A2020.04 | 93.85 | — | |
| REINFORCE2022.11 | 93.85 | — | |
| LR2026.05 | 93.84 | — | |
| RS2026.05 | 93.83 | — | |
| Random SearchParadigm=conventional search algorithms2025.09 | 93.83 | — | |
| CAP2026.05 | 93.81 | — | |
| DARTS-Cost (hours)=3.22022.03 | 93.8 | — | |
| DARTS-Paradigm=one-shot NAS2025.09 | 93.8 | — | |
| GENIUSParadigm=LLM-based NAS methods2025.09 | 93.79 | — | |
| RSsearch_run=CIFAR-10, category=Regular HO, search_cost=N/A2020.04 | 93.7 | — | |
| RS2022.11 | 93.7 | — | |
| MLP2026.05 | 93.63 | — | |
| BaLeNASOrder=1st-order2021.11 | 93.62 | — | |
| BOHBsearch_run=CIFAR-10, category=Regular HO, search_cost=N/A2020.04 | 93.61 | — | |
| GDASsearch_run=CIFAR-10, category=Weight sharing, search_cost=316092020.04 | 93.61 | — | |
| GDASCost (hours)=8.72022.03 | 93.61 | — | |
| GDAS2022.11 | 93.61 | — | |
| BOHB2022.11 | 93.61 | — | |
| iDARTS2021.06 | 93.58 | — | |
| iDARTS2022.03 | 93.58 | — | |
| EG-NASParadigm=one-shot NAS2025.09 | 93.56 | — | |
| GAEA GDASsearch_run=direct, category=Weight sharing, search_cost=167542020.04 | 93.55 | — | |
| SGNASSearch Method=Supernet2022.03 | 93.53 | — | |
| SGNAS2024.03 | 93.53 | — | |
| GDAS#search_run=direct, category=Weight sharing, search_cost=279232020.04 | 93.52 | — | |
| GDAS2021.11 | 93.51 | — | |
| Zero-cost NAS2021.11 | 93.45 | — | |
| PC-DARTS2022.03 | 93.41 | — | |
| PC-DARTSParadigm=one-shot NAS2025.09 | 93.41 | — | |
| GDAS2021.06 | 93.4 | — | |
| FairNAS2022.11 | 93.23 | — | |
| FairNASParadigm=one-shot NAS2025.09 | 93.23 | — | |
| DSNAS2022.03 | 93.08 | — | |
| XGB2026.05 | 93.08 | — | |
| KNASMethod=training-free, Applicable Space=C & D2022.01 | 93.05 | 4,200 | |
| SNAS2022.03 | 92.77 | — | |
| GAEA DARTS (bilevel)search_run=CIFAR-10, category=Weight sharing, search_cost=79302020.04 | 91.63 | — | |
| RandomNAS2021.11 | 88.58 | — | |
| RSPSsearch_run=CIFAR-10, category=Weight sharing, search_cost=75872020.04 | 87.66 | — | |
| SETNsearch_run=CIFAR-10, category=Weight sharing, search_cost=341392020.04 | 87.64 | — | |
| SETN2021.06 | 87.64 | — | |
| SETN2021.11 | 87.64 | — | |
| Random baseline2021.11 | 86.61 | — | |
| DARTS+ (ERM)search_run=CIFAR-10, category=Weight sharing, search_cost=181122020.04 | 84.39 | — | |
| RandomNAS2021.06 | 84.07 | — | |
| DARTS (bilevel)search_run=CIFAR-10, category=Weight sharing, search_cost=357812020.04 | 54.3 | — | |
| DARTS+ (bilevel)search_run=CIFAR-10, category=Weight sharing, search_cost=106832020.04 | 54.3 | — |