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Papers Benchmarks Datasets Tasks

MNIST dataset and benchmarks – Page 57 · SOTA2 Research

Research Datasets

MNIST

Benchmarks

Task NameDataset NameSOTA MethodSort

Task NameDataset NameSOTA ResultTrendResults

Machine Unlearning

MNIST

99.24Accuracy After Unlearning

1

Image-level shift

MNIST 3->8

200Nconv

1

Verifiable Data Valuation

MNIST

1,445Proving Time (s)

1

Image Classification

MNIST

1.164Latency (Unprotected DNN) (ms)

1

Image Classification

MNIST

23.15Donor Best Top-1 Accuracy Change

1

Synthetic image evaluation

MNIST

0.222ECS (T = 1)

1

Image Classification

MNIST Permuted Sequential (val)

97.21Accuracy

1

Gaussian Deblurring

MNIST-to-EMNIST

12.72FID

1

MNIST

92.6SVM Accuracy

1

Circuit Discovery

MNIST

100Robustness (%)

1

Spectral Clustering

MNIST (sample)

0.44Value [14]

1

Federated Clustering

MNIST N=100 clients

1.51ARI

1

Adversarial Image Classification

MNIST

0.98Clean Accuracy

1

Image Generation

BINARIZED MNIST standard (test)

0.02FID

1

Out-of-distribution detection

MNIST All

0.91AUROC

1

Out-of-distribution detection

MNIST Uniform

99AUROC

1

Image Classification

MNIST

—Primary metric

0

Image classification

MNIST

—Primary metric

0

Multitask classification

MNIST

—Primary metric

0

Image Generation

MNIST 28x28

—Primary metric

0

Dimensionality Reduction

MNIST 70K

—Primary metric

0

Image Classification

MNIST (test)

—Primary metric

0

Unsupervised Clustering

MNIST

—Primary metric

0

Image Classification

MNIST

—Primary metric

0

Image Classification

MNIST (test)

—Accuracy

0

Page 57 of 59

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