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FashionMNIST

Benchmarks

Task NameDataset NameSOTA ResultTrend
Image ClassificationFashionMNIST (test)
Accuracy95.71
461
Image ClassificationFashionMNIST
Accuracy96.93
192
Uncertainty QuantificationFashionMNIST
NLL0.248
42
Copyright VerificationFashionMNIST (test)
CVSR100
40
Anomaly DetectionFashionMNIST (test)
ROCAUC0.959
35
ClassificationFashionMNIST
F1-Macro90.84
28
Conformal PredictionFashionMNIST (test)
Efficiency Rate (γn,m)3.2814
27
Byzantine Attack DetectionFashionMNIST (test)
Detection Accuracy100
26
Poisoning Attack MitigationFashionMNIST
F1 Score87.8
19
Label CorrectionFashionMNIST
Error Rate10.6
18
ClassificationFashionMNIST
P10 Delta0.0095
18
ClassificationFashionMNIST
Worst Delta1.65
18
ClassificationFashionMNIST
Average Delta0.8309
18
Image ClassificationFashionMNIST (IID)
Accuracy90.6
17
Image ReconstructionFashionMNIST (test)
MSE0.004
17
Data AttributionFashionMNIST
Data Attribution Value0.1072
15
Out-of-Distribution DetectionFashionMNIST (test)
AUROC0.917
14
Uncertainty QuantificationFashionMNIST
V-ID92.5
13
Image ClassificationFashionMNIST
Standard Accuracy91.2
12
Evasion Attack DetectionFashionMNIST
Detection Accuracy95.11
12
Deep Active LearningFashionMNIST
AUBC0.7812
12
Image modelingFashionMNIST (test)
Bits/dim0.59
12
Dynamic Feature SelectionFashionMNIST
AUAC-F181.19
10
Fine-grained accuracy control attackFashionMNIST
Control Error Rate0.59
10
Image ClassificationFashionMNIST OOD: MNIST (test)
AUROC (H)0.971
10
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