Dataset-1
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Inverse Reinforcement Learning | Dataset 1 | MSE0 | 13 | |
| Disease Progression Forecasting | Dataset-1 | AUROC (6 months)83.5 | 12 | |
| Intent Expressiveness | Dataset 1 DeFi and NFT Intents | Total Num4,050 | 10 | |
| Survival Prediction | Dataset 1 mIF | AUROC1 | 10 | |
| Time-series forecasting | Dataset 1 | RMSE0.0047 | 9 | |
| Trajectory alignment | Dataset 1 Cold France | Mean Fisher-test p-value1 | 8 | |
| Speech Enhancement | Dataset-1 WSJ0, DEMAND, RNNoise 1.0 (test) | PESQ3.44 | 7 | |
| Virtual Sensing | Dataset 1 SM2 Outlet Temperature (test) | RMSE0.0605 | 6 | |
| Virtual Sensing | Dataset 1 SM2 Inlet Temperature (test) | RMSE0.1091 | 6 | |
| Virtual Sensing | Dataset 1 SM2 Flow Rate (test) | RMSE0.1152 | 6 | |
| Virtual Sensing | Dataset 1 SM1 Outlet Temperature (test) | RMSE0.1852 | 6 | |
| Virtual Sensing | Dataset 1 SM1 Inlet Temperature (test) | RMSE0.1243 | 6 | |
| Virtual Sensing | Dataset 1 SM1 Flow Rate (test) | RMSE0.1749 | 6 | |
| Classification | Dataset-1 OpenML-CC18 (test) | Accuracy51.48 | 6 | |
| Serverless Resource Management | Dataset-1 High-frequency Uniform Workload | CSRR51.2 | 5 | |
| Gaze behavior detection | Dataset 1 Group of four | F1-score88.6 | 5 | |
| SfM Reconstruction | Dataset 1 | Time Cost (min)13.9 | 5 | |
| Disease-free Survival prediction | Dataset 1 (test) | CI0.905 | 4 | |
| Overall Survival prediction | Dataset 1 (test) | CI0.897 | 4 | |
| Clickbait Detection | Dataset 1 | Accuracy98.3 | 2 | |
| Tissue deformation prediction | Dataset 1 (test) | Success Rate (< 1 mm) (%)95.11 | 1 |
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