| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Medical Image Classification | COVID | Accuracy90.47 | 54 | |
| Medical Image Classification | Covid (test) | Accuracy97.4 | 43 | |
| Information Retrieval | COVID | nDCG@1078.1 | 37 | |
| Medical Image Classification | COVID (downstream) | Accuracy86.21 | 28 | |
| CT Reconstruction | COVID (test) | PSNR23.41 | 28 | |
| Bayesian network structure discovery | covid | SHD29 | 22 | |
| Image Classification | COVID 4-way 5-shot (test) | Accuracy95.58 | 20 | |
| Image Classification | COVID 4-way 1-shot (test) | Accuracy93.47 | 20 | |
| Image Classification | COVID CT&X-ray | Last Epoch Accuracy92.43 | 18 | |
| Causal Discovery | Covid linear synthetic 4 | Dtop3.49 | 17 | |
| Causal Discovery | Covid linear synthetic 3 | Dtop2.64 | 17 | |
| Causal Discovery | Covid linear synthetic 2 | Dtop1.67 | 17 | |
| Causal Discovery | Covid linear synthetic 1 | Dtop100 | 17 | |
| Reranking | COVID | nDCG69 | 12 | |
| Medical Image Segmentation | COVID | DSC68.37 | 12 | |
| Spatio-temporal dynamics prediction | Covid (test) | MSE0.741 | 11 | |
| Medical Anomaly Detection | COVID-19 | Precision96.6 | 10 | |
| Causal order recovery | Covid non-linear synthetic 4 | D_top0 | 9 | |
| Causal order recovery | Covid 2 (non-linear synthetic) | D_top0 | 9 | |
| Total Effect Estimation | Covid 4 | Epsilon ATE0 | 9 | |
| Total Effect Estimation | Covid 3 | Epsilon ATE0 | 9 | |
| Total Effect Estimation | Covid 2 | Epsilon ATE0 | 9 | |
| Total Effect Estimation | Covid 1 | Epsilon ATE0 | 9 | |
| Estimating causal orders | Covid 4 linear synthetic standard | SHD2 | 9 | |
| Estimating causal orders | Covid 3 linear synthetic standard | SHD1 | 9 |