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MNIST

Benchmarks

Task NameDataset NameSOTA ResultTrend
Image ClassificationMNIST (test)
Accuracy99.35
894
Image ClassificationMNIST (test)
Accuracy99.8
654
Image ClassificationMNIST
Accuracy99.87
417
Image ClassificationMNIST
Accuracy100
398
Image ClassificationMNIST (test)
Accuracy99.6
201
Image ClassificationMNIST (test)
Test Accuracy99.67
189
Image ClassificationMNIST (test)
Accuracy98.15
177
Image ClassificationMNIST (test)
Accuracy99.7
168
ClusteringMNIST (test)
NMI0.97
154
Image ClassificationMNIST (train)
Train Accuracy100
141
Image ClassificationMNIST non-IID (test)
Accuracy98.92
139
Graph ClassificationMNIST (test)
Accuracy98.8
128
Graph classificationMNIST
Accuracy99.2
113
ClusteringMNIST
NMI0.978
113
Backdoor CertificationMNIST (test)
AER1.81
112
Image ClassificationMNIST rotated (test)
Test Error (%)0.59
105
Image GenerationMNIST Binary (test)
FID4.69
98
ClusteringMNIST (full)
Accuracy98.7
98
Image ClassificationMNIST
Standard Accuracy99.9
94
Digit ClassificationMNIST (test)
Error Rate0.21
94
ClassificationMNIST (test)
Accuracy99.4
93
Image GenerationMNIST
FID0.52
91
Anomaly DetectionMNIST
AUC100
90
ClassificationMNIST
Accuracy99.3
89
Backdoor AttackMNIST (test)
Classification Accuracy (C-Acc)99.89
88
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