CIFAR
Benchmarks
Task NameDataset NameSOTA ResultTrendResults
CIFAR-10 one-for-all
87.8AUROC
14
CIFAR-100
19.3Error Rate (10000 Labels)
14
CIFAR-10
4.16Error Rate (4000 Labels)
14
CIFAR-100-LT Ratio 100 (test)
48.3Balanced Accuracy
14
CIFAR-100 Noisy Fine (test)
73.79Accuracy
14
CIFAR 10 (test)
1.16ECE
14
CIFAR-FS (test)
87.63Accuracy
14
CIFAR10 unlabelled (train)
99.1Clustering Accuracy
14
CIFAR-10 (test)
1.5Verified Error
14
CIFAR-10
55.16Total Time (s)
14
CIFAR-10 (in-dist) CIFAR-100 (out-dist)
0.938AUROC
14
CIFAR-10.02
87.5WG
14
CIFAR-10
2.25FID
14
CIFAR-10 (test)
92.82Best Accuracy
14
CIFAR-10 (test)
0.204NLL
14
CIFAR-10 (test)
82.6AutoAttack Accuracy
14
CIFAR-10-LT (test)
4.74ECE
14
CIFAR10
95.2AUROC
14
CIFAR-100 (test)
77.44Accuracy (40% Noise)
14
CIFAR FS
92.16Accuracy
14
CIFAR-10 DARTS search space (test)
2.43Best Test Error
14
CIFAR-10 4000 labeled samples (train test)
13.1Test Error
14
CIFAR-100 vs iSUN (test)
0.959TNR @ TPR95
14
CIFAR-10
88.1Accuracy (Natural)
13
CIFAR10-DVS
82.36Accuracy
13