MNIST

Benchmarks

Task Name	Dataset Name	SOTA Result
Image Classification	MNIST (test)	Accuracy99.35	894
Image Classification	MNIST	Accuracy99.87	417
Image Classification	MNIST	Accuracy100	398
Image Classification	MNIST (test)	Accuracy99.6	196
Image Classification	MNIST (test)	Test Accuracy99.67	189
Image Classification	MNIST (test)	Accuracy98.15	177
Clustering	MNIST (test)	NMI0.97	132
Clustering	MNIST	NMI0.978	113
Backdoor Certification	MNIST (test)	AER1.81	112
Graph Classification	MNIST (test)	Accuracy98.8	110
Image Classification	MNIST rotated (test)	Test Error (%)0.59	105
Image Generation	MNIST Binary (test)	FID4.69	98
Clustering	MNIST (full)	Accuracy98.7	98
Graph classification	MNIST	Accuracy99.2	95
Digit Classification	MNIST (test)	Error Rate0.21	94
Anomaly Detection	MNIST	AUC100	90
Federated Learning Classification	MNIST FedAvg 0.962 (test)	Accuracy96.2	88
Anomaly Detection	MNIST	AUC99.35	87
Image Generation	MNIST	FID1.02	85
Image Classification	MNIST 0.5 (test)	Accuracy96.28	80
Pixel-by-pixel Image Classification	Permuted Sequential MNIST (pMNIST) (test)	Accuracy98.76	79
Image Classification	MNIST -> USPS (test)	Accuracy99.5	79
Image Classification	MNIST	Clean Accuracy99.64	71
Image Classification	permuted MNIST (pMNIST) (test)	Accuracy97.87	69
Anomaly Detection	MNIST (test)	AUC99.6	65

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