CIFAR
Benchmarks
Task NameDataset NameSOTA ResultTrendResults
Spherical CIFAR-10 NAS-Bench-360
2Full-pipeline runtime (GPU hours)
4
CIFAR-100 NAS-Bench-360
2Full-pipeline Runtime (GPU hours)
4
CIFAR-100 (test)
1Rel@1
4
CIFAR-10 (test)
1Rel@1
4
CIFAR-10.2
94.4Top-1 Accuracy
4
CIFAR-10 Clean-label Trigger
14Detected L1 Norm
4
CIFAR-10 10% (train)
16.34FID
4
CIFAR10-LT gamma=100, 3726 labels (30%) (test)
80.6Accuracy
4
CIFAR-100 p=0.6, τ=0.5 (IID)
295Communication Cost
4
CIFAR-100 (test)
79.3Accuracy (Symmetric 20% Noise)
4
CIFAR-100 95% symmetric label noise
49.11Peak Classification Accuracy
4
CIFAR-10 (val)
0.04ECE (Noise-level 1)
4
CIFAR-10 Rotate (test)
0.302ECE
4
CIFAR100 Rotate (test)
0.097ECE
4
CIFAR-10 epsilon=0.05 (test)
46.2ILA
4
CIFAR-10 Interpolation (OOD)
71AUROC
4
CIFAR-100
86.26Top-5 Accuracy
4
CIFAR-10
99.23Top-5 Accuracy
4
CIFAR-100 long-tailed (test)
0.489Average Recall
4
CIFAR-10 (disjoint)
52.83Accuracy
4
CIFAR-10 (test)
93.66Original Accuracy
4
CIFAR-10 250 labels (train)
95.09Accuracy
4
CIFAR-10 80 labels (train)
93.97Accuracy
4
CIFAR-10 40 labels (train)
93.09Accuracy
4
CIFAR-10 20 labels (train)
87.67Accuracy
4