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CIFAR-10

Benchmarks

Task NameDataset NameSOTA ResultTrend
ClusteringCIFAR-10 (test)
Accuracy100
184
Image ClassificationCIFAR-10 NAS-Bench-201 (test)
Accuracy94.37
173
Out-of-distribution DetectionCIFAR-10 vs SVHN (test)
AUROC99.84
101
Image ClassificationCIFAR-10 v1 (test)
Accuracy90.06
98
Neural Architecture SearchCIFAR-10 NAS-Bench-201 (val)
Accuracy94.37
86
Image ClassificationCIFAR-10 Long-Tailed 1.0 (test)
Top-1 Error6.77
79
Backdoor DefenseCIFAR-10
Attack Success Rate6,010
78
Adversarial RobustnessCIFAR-10 (test)
Attack Success Rate (ASR)47.7
76
Out-of-Distribution Detection and GeneralizationCIFAR-10 ID LSUN-C semantic OOD & CIFAR-10-C covariate OOD
OOD Accuracy91.08
74
Data Poisoning DefenseCIFAR-10 (test)
Test Accuracy95.33
72
Image ClassificationCIFAR-10 (test)
Accuracy96.1
68
Image ClassificationCIFAR-10 (250 labels)
Error Rate2.42
66
Image ClassificationCIFAR-10 Symmetric Noise (test)
Test Accuracy (Overall)93.6
64
Image ClassificationCIFAR-10 (test)
Accuracy94.41
63
Generative Image SynthesisCIFAR-10 BigGAN
FID8.01
62
Generative Image SynthesisCIFAR-10 SNGAN
FID10.6
62
Image ClassificationCIFAR-10-C (test)
Accuracy (Clean)91.57
61
Image ClassificationCIFAR-10 Long Tailed Imbalance Ratio 50 (test)
Top-1 Accuracy89.2
57
Two-sample testingCIFAR-10 vs CIFAR-10.1 1.0 (test)
Test Power0.993
54
Task-incremental learningCIFAR-10 Split (test)
Average Accuracy98.31
46
Image GenerationCIFAR-10 32x32
FID1.96
44
Image ClassificationCIFAR-10 Standard data augmentation (test)
Test Error Rate3.38
43
Image ClassificationCIFAR-10 10% label
Accuracy91.32
42
Membership Inference AttackCIFAR-10 (test)
TPR@0.1%FPR1,038
42
ClassificationCIFAR-10
Robust Accuracy94.1
40
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