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CIFAR10

Benchmarks

Task NameDataset NameSOTA ResultTrend
Image ClassificationCIFAR10 (test)
Accuracy99.5
585
ClassificationCIFAR10 (test)
Accuracy97.42
331
Image GenerationCIFAR10 32x32 (test)
FID1.1
186
Image ClassificationCIFAR10 non-iid
Accuracy88.1
162
Graph ClassificationCIFAR10 (test)
Test Accuracy76.903
152
Image ClassificationCIFAR10 LT (test)
Accuracy86.7
106
Image Classification CalibrationCIFAR10
Classwise ECE0.33
84
Image GenerationCIFAR10 50k samples (test)
FID1.79
81
Image ClassificationCIFAR10 (test)
Accuracy98.1
76
Image GenerationCIFAR10 (train)
FID0.02
71
Image ClassificationCIFAR10 long-tailed (test)
Accuracy85.5
68
Image ClassificationCIFAR10 IDN (test)
Accuracy96.68
67
Continual LearningSplit CIFAR10 32x32 (test)
Accuracy60.1
66
Image ClassificationCIFAR10-C (test)
Accuracy (Gaussian)89.94
65
Sequential Image ClassificationSequential CIFAR10
Accuracy91.13
60
Image ClassificationCIFAR10 (val)
Accuracy99.29
51
Image ClassificationCIFAR10 5 tasks (test)
Accuracy69.1
51
Continual LearningCIFAR10 5 tasks (test)
Avg Forgetting Rate10
51
Image ClassificationCIFAR10 (test)
Test Accuracy94.7
49
Image ClassificationCIFAR10
Training Loss0.02
48
Data ValuationCIFAR10
Provider Influence (Mean)0.508
48
Image ClassificationCIFAR10-C
Inference Latency47
42
Image ClassificationCIFAR10-C
Mean Accuracy (mAcc)84.68
41
Binary ClassificationCIFAR10 Binary imb. 200 (test)
FPR @ 98% TPR0.7
41
Machine UnlearningCIFAR10 Subclass airplane (test)
KL Divergence (t)0
39
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