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Papers Benchmarks Datasets Tasks

MNIST dataset and benchmarks – Page 49 · SOTA2 Research

Research Datasets

MNIST

Benchmarks

Task NameDataset NameSOTA MethodSort

Task NameDataset NameSOTA ResultTrendResults

Tensor Train Decomposition

MNIST

0.46Fit

4

Anomaly Detection

MNIST One-vs-all

98.9AUPRC

4

Image Classification

MNIST Translated standard (test)

95.21Accuracy

4

Image Classification

MNIST Rotated (90) standard (test)

97.19Accuracy

4

Explanation Accuracy

MNIST (test)

99.79Average F1 Score

4

Rule extraction

MNIST

2.72Rule Extraction Time (s)

4

Logic Explanation Consistency

MNIST

100Consistency

4

Supervised Online Label Shift

MNIST online data

3.2Classification Error

4

Image Generation

MNIST 3/5 (test)

99.52Accuracy

4

Translation and Rotation Prediction

MNIST(U) (test)

0.93Rotation Correlation

4

Translation and Rotation Prediction

MNIST N (test)

0.898Rotation Correlation

4

Rotation Prediction

MNIST(U)

96.5Accuracy (Class 0)

4

CS-CMNIST

71.8Accuracy

4

MNIST (test)

93.49F-score

4

Positive-Unlabeled Classification

MNIST (test)

93.6Accuracy

4

Counterfactual Explanation Generation

MNIST

0Inference Time (sec)

4

Model Inversion Attack

MNIST

0.95Accuracy

4

MNIST

33.98FID

4

Video Prediction

MNIST

18.07PSNR

4

Shuffled MNIST 3 tasks

98.34Accuracy

4

Digit Classification

MNIST-M to MNIST

99.3Accuracy

4

Sequence Classification

PS-MNIST (test)

97.36Accuracy

4

Open-Set Recognition

MNIST (test)

91.37F1 Score

4

Continual Learning

Split-MNIST (S-MNIST) (test)

99.5Accuracy

4

Autoregressive Image Generation

MNIST

0.621Bits/dim

4

Page 49 of 59

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