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	201
Image Classification	MNIST (test)	Test Accuracy99.67	189
Image Classification	MNIST (test)	Accuracy98.15	177
Image Classification	MNIST non-IID (test)	Accuracy98.92	139
Image Classification	MNIST (test)	Accuracy99.7	138
Clustering	MNIST (test)	NMI0.97	136
Graph Classification	MNIST (test)	Accuracy98.8	121
Clustering	MNIST	NMI0.978	113
Backdoor Certification	MNIST (test)	AER1.81	112
Image Classification	MNIST (train)	Train Accuracy100	107
Image Classification	MNIST rotated (test)	Test Error (%)0.59	105
Graph classification	MNIST	Accuracy99.2	103
Image Generation	MNIST Binary (test)	FID4.69	98
Clustering	MNIST (full)	Accuracy98.7	98
Digit Classification	MNIST (test)	Error Rate0.21	94
Anomaly Detection	MNIST	AUC100	90
Classification	MNIST	Accuracy99.3	89
Backdoor Attack	MNIST (test)	Classification Accuracy (C-Acc)99.89	88
Federated Learning Classification	MNIST FedAvg 0.962 (test)	Accuracy96.2	88
Anomaly Detection	MNIST	AUC99.35	87
Image Classification	MNIST VAE m=32 latent space (test)	Accuracy98.29	85
Image Generation	MNIST	FID1.02	85

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