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SotA/Methodology/Neural Architecture Search/NATS-Bench Topology, CIFAR-10

Neural Architecture Search on NATS-Bench Topology, CIFAR-10

Metric: Test Accuracy (higher is better)

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#Model↕Test Accuracy▼AugmentationsPaperDate↕Code
1RE (Real et al., 2019)94.13NoRegularized Evolution for Image Classifier Archi...2018-02-05Code
2PPO (Schulman et al., 2017)94.02NoProximal Policy Optimization Algorithms2017-07-20Code
3TE-NAS (Chen et al., 2021)93.9NoNeural Architecture Search on ImageNet in Four G...2021-02-23Code
4NASI (Shu et al., 2021)93.55NoNASI: Label- and Data-agnostic Neural Architectu...2021-09-02-
5EigenNas (Zhu et al., 2022)93.46NoGeneralization Properties of NAS under Activatio...2022-09-15-
6FairNAS (Chu et al., 2021)93.23NoFairNAS: Rethinking Evaluation Fairness of Weigh...2019-07-03Code
7KNAS (Xu et al., 2021)93.05NoKNAS: Green Neural Architecture Search2021-11-26Code