AutoML on NATS-Bench Topology, ImageNet16-120

Metric: Test Accuracy (higher is better)

LeaderboardDataset

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#	Model↕	Test Accuracy▼	Augmentations	Paper	Date↕	Code
1	EigenNas (Zhu et al., 2022)	45.54	No	Generalization Properties of NAS under Activatio...	2022-09-15	-
2	PPO (Schulman et al., 2017)	44.95	No	Proximal Policy Optimization Algorithms	2017-07-20	Code
3	NASI (Shu et al., 2021)	44.84	No	NASI: Label- and Data-agnostic Neural Architectu...	2021-09-02	-
4	RE (Real et al., 2019)	44.76	No	Regularized Evolution for Image Classifier Archi...	2018-02-05	Code
5	TE-NAS (Chen et al., 2021)	42.38	No	Neural Architecture Search on ImageNet in Four G...	2021-02-23	Code
6	FairNAS (Chu et al., 2021)	42.19	No	FairNAS: Rethinking Evaluation Fairness of Weigh...	2019-07-03	Code
7	KNAS (Xu et al., 2021)	34.11	No	KNAS: Green Neural Architecture Search	2021-11-26	Code

#1EigenNas (Zhu et al., 2022)SOTA
45.54
Test Accuracy· 2022-09-15
Generalization Properties of NAS under Activation and Skip Connection Search
#2PPO (Schulman et al., 2017)SOTA
44.95
Test Accuracy· 2017-07-20
Proximal Policy Optimization Algorithms Code
#3NASI (Shu et al., 2021)
44.84
Test Accuracy· 2021-09-02
NASI: Label- and Data-agnostic Neural Architecture Search at Initialization
#4RE (Real et al., 2019)
44.76
Test Accuracy· 2018-02-05
Regularized Evolution for Image Classifier Architecture Search Code
#5TE-NAS (Chen et al., 2021)
42.38
Test Accuracy· 2021-02-23
Neural Architecture Search on ImageNet in Four GPU Hours: A Theoretically Inspired Perspective Code
#6FairNAS (Chu et al., 2021)
42.19
Test Accuracy· 2019-07-03
FairNAS: Rethinking Evaluation Fairness of Weight Sharing Neural Architecture Search Code
#7KNAS (Xu et al., 2021)
34.11
Test Accuracy· 2021-11-26
KNAS: Green Neural Architecture Search Code