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D1

Benchmarks

Task NameDataset NameSOTA ResultTrend
ClassificationD1
Mean Accuracy99.291
30
Forecasting under missing-at-random observationsD1 advection–diffusion
RMSE0.589
21
Spatio-temporal signal recoveryD1
MAE0.155
18
Time Series ForecastingSynthetic D1 (test)
MSE0.512
16
Medical Image SegmentationD1 Pediatric Organs in CT
DSC85.59
14
Needle TrackingD1 Mean of IPS and IPM
AUC63.7
12
RegressionD1
RMSE0.31
10
RegressionD1
Average Relative MSE0.038
10
ClassificationD1 0.15 (test)
Mean Accuracy99.742
10
HDI Tensor CompletionD1
MAE3.9289
9
Super-ResolutionD1
SSIM0.9466
9
Outlier DetectionD1 with only clusteriers (test)
AUC83.3
9
Aspect-level sentiment classificationD1
Accuracy79.11
9
Needle TrackingD1 In-plane-moving (IPM)
AUC68
8
Needle TrackingD1 In-plane-static (IPS)
AUC60.3
8
Spatially inductive predictionD1 advection–diffusion 15 stations held out
RMSE (m)0.55
7
Spatially inductive predictionD1 advection–diffusion (10 stations held out)
RMSE (m)0.52
7
Spatially inductive predictionD1 advection–diffusion 5 stations held out
RMSE (m)0.53
7
Malicious Package DetectionD1 Calibrated
Precision99.1
7
SegmentationD1 trained on D0 (test)
Dice93.67
7
SegmentationD1 evaluated after training on D2
Dice Score93.67
7
Root Cause LocalizationD1 (complete data conditions)
Top-1 Score82.1
7
Missing Data ImputationD1 (test)
Micro AUPRC81.64
7
Hospital readmission predictionD1 (test)
Mean AUPRC21.51
7
PET Image DenoisingD1 in-distribution (test)
PSNR (DRF=2)51.63
6
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