| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Target-Based Sentiment Analysis | DR Restaurant (test) | Precision68.64 | 16 | |
| Diabetic retinopathy classification | DR (test) | Accuracy78.3 | 14 | |
| Image Classification | DR In-Distribution | Accuracy91.89 | 11 | |
| Image Classification | DR (OOD) | Accuracy86.9 | 11 | |
| Graph Clustering | DR 100K | NMI96.2 | 10 | |
| Depression Binary Classification | DR (test) | Accuracy84 | 10 | |
| Aspect Term Extraction | DR Restaurant SemEval 2014 (test) | F1 Score92.76 | 10 | |
| Domain-Incremental Learning | DR APTOS → DDR → DRD | Average Accuracy85 | 8 | |
| PDE dynamics forecasting | DR (ID) | nMSE0.0052 | 7 | |
| Image Classification | DR (APTOS 2019, DDR, IDRiD) | Accuracy (D to A)74.52 | 7 | |
| World Coordinate 3D Point Tracking | DR | APD55.36 | 6 | |
| Binary Classification | DR | F1 Score94.25 | 6 | |
| Artist Removal | Dr remaining set (test) | AS0.352 | 6 | |
| Artist Removal | Dr remaining set (train) | AS35.5 | 6 | |
| Nudity Removal | Dr remaining set (test) | AS Score35.2 | 6 | |
| Nudity Removal | Dr remaining set (train) | AS0.357 | 6 | |
| PDE dynamics forecasting | DR (Out-time) | nMSE0.199 | 5 | |
| PDE dynamics forecasting | DR (In-time) | nMSE0.0009 | 5 | |
| Learning PDE Dynamics | DR | Relative L2 Error0.044 | 2 | |
| State Rollout | DR | Metric- | 0 |