AutoML on CIFAR-10 Image Classification

Metric: Percentage error (lower is better)

LeaderboardDataset

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#	Model↕	Percentage error▲	Augmentations	Paper	Date↕	Code
1	NAT-M4	1.6	Yes	Neural Architecture Transfer	2020-05-12	Code
2	NAT-M3	1.8	Yes	Neural Architecture Transfer	2020-05-12	Code
3	NAONet + c/o	1.93	No	Neural Architecture Optimization	2018-08-22	Code
4	SharpSepConvDARTS	1.98	No	sharpDARTS: Faster and More Accurate Differentia...	2019-03-23	Code
5	MUXNet-m	2	Yes	MUXConv: Information Multiplexing in Convolution...	2020-03-31	Code
6	Proxyless-G + c/o	2.08	Yes	ProxylessNAS: Direct Neural Architecture Search ...	2018-12-02	Code
7	NAT-M2	2.1	Yes	Neural Architecture Transfer	2020-05-12	Code
8	AmoebaNet-B + c/o	2.13	No	Regularized Evolution for Image Classifier Archi...	2018-02-05	Code
9	PathLevel EAS + c/o	2.3	No	Path-Level Network Transformation for Efficient ...	2018-06-07	Code
10	NAS-RL-A + c/o	2.4	No	Neural Architecture Search with Reinforcement Le...	2016-11-05	Code
11	CATE	2.46	No	CATE: Computation-aware Neural Architecture Enco...	2021-02-14	Code
12	Soft Parameter Sharing	2.53	No	Learning Implicitly Recurrent CNNs Through Param...	2019-02-26	Code
13	arch2vec	2.56	No	Does Unsupervised Architecture Representation Le...	2020-06-12	Code
14	GATES + c/o	2.58	No	A Generic Graph-based Neural Architecture Encodi...	2020-04-04	Code
15	NAT-M1	2.6	Yes	Neural Architecture Transfer	2020-05-12	Code
16	DARTS + c/o	2.83	No	DARTS: Differentiable Architecture Search	2018-06-24	Code
17	ENAS + c/o	2.89	No	Efficient Neural Architecture Search via Paramet...	2018-02-09	Code