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SotA/Methodology/AutoML/NAS-Bench-201, CIFAR-10

AutoML on NAS-Bench-201, CIFAR-10

Metric: Search time (s) (higher is better)

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#Model↕Search time (s)▼AugmentationsPaperDate↕Code
1SETN31010NoOne-Shot Neural Architecture Search via Self-Eva...2019-10-13Code
2DARTS-V229902No---
3GDAS28926NoSearching for A Robust Neural Architecture in Fo...2019-10-10Code
4ENAS13315No---
5arch2vec12000NoDoes Unsupervised Architecture Representation Le...2020-06-12Code
6DARTS-11520NoDARTS-: Robustly Stepping out of Performance Col...2020-09-02Code
7DARTS-V110890No---
8FairNAS9845NoFairNAS: Rethinking Evaluation Fairness of Weigh...2019-07-03Code
9RSPS7587NoRandom Search and Reproducibility for Neural Arc...2019-02-20Code
10GenNAS1080NoGeneric Neural Architecture Search via Regression2021-08-04Code
11EPE-NAS (N=1000)206.2NoEPE-NAS: Efficient Performance Estimation Withou...2021-02-16Code
12EPE-NAS (N=500)105.8NoEPE-NAS: Efficient Performance Estimation Withou...2021-02-16Code
13EPE-NAS (N=100)20.5NoEPE-NAS: Efficient Performance Estimation Withou...2021-02-16Code
14DiNAS15.36NoMulti-conditioned Graph Diffusion for Neural Arc...2024-03-09Code
15EPE-NAS (N=10)2.3NoEPE-NAS: Efficient Performance Estimation Withou...2021-02-16Code