Image Classification on CIFAR-10, 2000 Labels

Metric: Accuracy (higher is better)

LeaderboardDataset

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#	Model↕	Accuracy▼	Extra Data	Paper	Date↕	Code
1	MixMatch	92.97	No	MixMatch: A Holistic Approach to Semi-Supervised...	2019-05-06	Code
2	ICT (CNN-13)	90.74	No	Interpolation Consistency Training for Semi-Supe...	2019-03-09	Code
3	Dual Student (600)	89.28	No	Dual Student: Breaking the Limits of the Teacher...	2019-09-03	Code
4	SESEMI SSL (ConvNet)	85.78	No	Exploring Self-Supervised Regularization for Sup...	2019-06-25	Code

#1MixMatchSOTA
92.97
Accuracy· 2019-05-06
MixMatch: A Holistic Approach to Semi-Supervised Learning Code
#2ICT (CNN-13)SOTA
90.74
Accuracy· 2019-03-09
Interpolation Consistency Training for Semi-Supervised Learning Code
#3Dual Student (600)
89.28
Accuracy· 2019-09-03
Dual Student: Breaking the Limits of the Teacher in Semi-supervised Learning Code
#4SESEMI SSL (ConvNet)
85.78
Accuracy· 2019-06-25
Exploring Self-Supervised Regularization for Supervised and Semi-Supervised Learning Code