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Papers Benchmarks Datasets Tasks

medical dataset and benchmarks – Page 2 · SOTA2 Research

Research Datasets

medical

Benchmarks

Task NameDataset NameSOTA MethodSort

Task NameDataset NameSOTA ResultTrendResults

Medical (OOV_SD)

26.68R-LCS

8

Multi-label Feature Selection

medical

0.011Hamming Loss

7

Multi-label Feature Selection

medical

0.11Running Time (sec)

7

Causal Discovery

Medical MR=0.6

64.8F1 Score

7

Causal Discovery

Medical MR=0.2

66.7F1 Score

7

MRI to CT translation

medical MRI→CT 256 × 256 (test)

4NFE

7

SSA-CWA to FOA-Attack Cross-Attack Detection

Medical

100Precision

6

SSA-CWA to M-Attack Cross-Attack Detection

Medical

100Precision

6

Medical

0.355NRMSE

6

Misaligned Task Learning

Medical In-domain

3.2Misalignment

6

Emergent Misalignment Measurement

Medical General Evaluation

0.38Misalignment

6

Machine Translation

Medical All-domain datastore (test)

55.1BLEU

6

Adversarial Attack Detection

Medical FOA-Attack in-domain

98.9Precision

5

Adversarial Attack Detection

Medical SSA-CWA in-domain

100Precision

5

Medical

1Coverage Loss

5

Automatic Speech Recognition

Medical

1.26WER

5

Multi-label classification

Medical

27.3Subset Accuracy

5

Multi-label classification

Medical

2.48Hamming Loss

5

Multi-label Classification

Medical

37.36Accuracy

5

Medical

100Accuracy

5

Machine Translation

Medical out-of-domain (test)

15.4BLEU

5

Mixed Linear Regression

medical

0.159Minimal Error (K=2)

5

Medical

100Clean Accuracy (Eager)

4

Medical

0.84RMSE

4

Automatic Speech Recognition

Medical (test)

1.26WER

4

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