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Neural Architecture Search on NAS-Bench-201 CIFAR-100 (test)

73.51Accuracyoptimal
13.29428.92744.5660.193Apr 16, 2020Apr 20, 2021Apr 24, 2022Apr 28, 2023May 1, 2024May 5, 2025May 10, 2026

Evaluation results

MethodLinks
optimal2021.0673.51—
Bench Optimal2021.0273.51—
DrNAS2021.1173.51—
optimal2021.1173.51—
β-DARTSCost (hours)=3.22022.0373.51—
optimal2022.0373.51—
Optimum2022.0373.51—
AG-NetQueries=192, Search Method=Generative LSO2022.0373.51—
AG-NetQueries=400, Search Method=Generative LSO2022.0373.51—
Optimal2022.0173.51—
Optimum2024.0373.51—
AG-NetQueries/Gen.=1922024.0373.51—
TNAS2024.0373.51—
B-DARTS2024.0373.51—
DiffusionNAG2024.0373.51—
DiNASQueries/Gen.=1922024.0373.51—
Optimal2025.0973.51—
BANANASQueries=192, Search Method=Bayesian Optimization2022.0373.5—
BANANASQueries/Gen.=1922024.0373.5—
Optimal2021.0873.49—
CR-LSO2022.1173.47—
CoLLM-NASParadigm=LLM-based NAS methods2025.0973.44—
GAEA DARTS (ERM)setting=direct2020.0473.43—
Arch2vec + BOQueries=100, Search Method=Bayesian Optimization2022.0373.37—
arch2vec-BO2022.1173.37—
MetaD2AQueries/Gen.=5002024.0373.34—
RZ-NASParadigm=LLM-based NAS methods2025.0973.3—
GANASQueries=444, Search Method=Generative Reinforcement Learning2022.0373.28—
GANASQueries/Gen.=1412024.0373.28—
XGB + RankingQueries=192, Search Method=Generative LSO2022.0373.24—
BO+Queries=192, Search Method=Bayesian Optimization2022.0373.22—
Bayesian Opt.Queries/Gen.=1922024.0373.22—
AG-NetQueries=100, Search Method=Generative LSO, topk=12022.0373.15—
AG-NetQueries=96, Search Method=Generative LSO2022.0373.12—
ConvNP2026.0572.99—
LM-SearcherParadigm=LLM-based NAS methods2025.0972.96—
BaLeNAS-TFOptimization=Training-free proxies, Proxy=Synflow2021.1172.95—
XGBQueries=192, Search Method=Generative LSO2022.0372.93—
CARL2026.0572.92—
Evolutionary AlgorithmParadigm=conventional search algorithms2025.0972.82—
RR2026.0572.77—
GAEA DARTS (ERM)setting=transfer (CIFAR-10)2020.0472.6—
BOHB2022.1172.37—
RF2026.0572.34—
CAP2026.0572.32—
RE2026.0572.13—
ReNAS2022.1172.12—
RS+Queries=192, Search Method=Random2022.0372.07—
Random SearchQueries/Gen.=1922024.0372.07—
MLP2026.0571.94—
BaLeNASOrder=2nd-order2021.1171.93—
GAEA DARTS (bilevel)setting=direct2020.0471.87—
REAsetting=transfer (CIFAR-10)2020.0471.84—
LR2026.0571.84—
NP2026.0571.84—
Reinforcement LearningParadigm=conventional search algorithms2025.0971.78—
REINFORCE2022.1171.71—
LLMaticParadigm=LLM-based NAS methods2025.0971.62—
RS2026.0571.55—
DARTS-Cost (hours)=3.22022.0371.53—
DARTS-Paradigm=one-shot NAS2025.0971.53—
Random SearchParadigm=conventional search algorithms2025.0971.52—
XGB2026.0571.06—
RS2022.1171.04—
FairNAS2022.1171—
FairNASParadigm=one-shot NAS2025.0971—
BaLeNASOrder=1st-order2021.1170.98—
EG-NASParadigm=one-shot NAS2025.0970.91—
GENIUSParadigm=LLM-based NAS methods2025.0970.91—
ResNetMethod=manual, Applicable Space=-2022.0170.86—
iDARTS2021.0670.83—
iDARTS2022.0370.83—
Zero-cost NAS2021.1170.73—
GDASsetting=transfer (CIFAR-10)2020.0470.7—
GDASCost (hours)=8.72022.0370.7—
GDAS2022.1170.7—
GDAS2021.1170.61—
GAEA GDASsetting=direct2020.0470.47—
GDAS2021.0670.33—
SGNASSearch Method=Supernet2022.0370.31—
SGNAS2024.0370.31—
SNAS2022.0369.34—
KNASMethod=training-free, Applicable Space=C & D2022.0168.914,200
GAEA DARTS (bilevel)setting=transfer (CIFAR-10)2020.0468.39—
PC-DARTS2022.0367.48—
PC-DARTSParadigm=one-shot NAS2025.0967.48—
RandomNAS2021.1161.45—
Random baseline2021.1160.83—
SETN2021.0659.05—
SETN2021.1159.05—
RSPSsetting=transfer (CIFAR-10)2020.0458.33—
RandomNAS2021.0652.31—
DSNAS2022.0331.01—
DARTS2021.0615.61—
DARTSOrder=1st-order2021.1115.61—
DARTSOrder=2nd-order2021.1115.61—
DARTS(1st)Cost (hours)=3.22022.0315.61—
DARTS(2nd)Cost (hours)=10.22022.0315.61—
DARTS2022.1115.61—
DARTSParadigm=one-shot NAS2025.0915.61—