| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Runtime analysis | Synthetic dataset c=2 | CPU Runtime (s)0.001 | 70 | |
| Multi-view Clustering | Synthetic Dataset Setup | Rand Index1 | 60 | |
| Novel View Synthesis | Synthetic Dataset (test) | PSNR58.38 | 53 | |
| Local Lipschitz constant estimation | 16-dimensional synthetic dataset (test) | Estimated Lipschitz Constant628.91 | 39 | |
| Attribute Inference | Synthetic Dataset | Attribute Inference Accuracy71.24 | 33 | |
| Future Link Prediction | Synthetic Dataset w/ OOD | AUC70.12 | 30 | |
| Multi-view Clustering | Synthetic Dataset Setup 2 | Rand Index1 | 24 | |
| Operator Learning | Synthetic Dataset | MAE0.01 | 24 | |
| Multi-label content safety classification | Synthetic Dataset | F1 Score0.768 | 21 | |
| Calibration Testing | Synthetic dataset (test) | Calibration Threshold0.01 | 21 | |
| Multiple Rotation Averaging | Synthetic dataset (test) | Mean Angular Error0.23 | 18 | |
| Revenue Uplift Modeling | Synthetic Dataset | AUUC0.3155 | 17 | |
| Signal recovery | Unbalanced synthetic dataset (n=(50, 70, 120), N=20, K=3) | SNR10.4 | 15 | |
| Semantic Segmentation | Synthetic dataset (val) | mIoU0.735 | 13 | |
| Object Detection | Synthetic dataset (val) | Precision66.9 | 13 | |
| Community Detection | Synthetic dataset (test) | F1 Score83.75 | 12 | |
| System identification | Synthetic dataset | Rel Error (delta_mu)0.004 | 12 | |
| Fuzzy Private Set Intersection | Synthetic Dataset l=512, nQ=nR=512 | Total Run Time (s)4.58 | 11 | |
| Visual Localization | Synthetic Dataset Average | Translational Error (m)7.5 | 11 | |
| Visual Localization | Synthetic Dataset (T4) | Translational Error (m)7.95 | 11 | |
| Visual Localization | Synthetic Dataset (T3) | Translational Error (m)8.1 | 11 | |
| Visual Localization | Synthetic Dataset (T2) | Translation Error (m)6.05 | 11 | |
| Visual Localization | Synthetic Dataset (T1) | Translational Error (m)5.9 | 11 | |
| Anomaly Detection | Synthetic dataset | Precision100 | 11 | |
| Automatic Modulation Classification | 10-class synthetic dataset In-Distribution (test) | Accuracy83 | 10 |