COVID-19
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Multi-step short-term forecasting | COVID-19 (test) | MAE0.071 | 58 | |
| Multivariate Time Series Forecasting | COVID-19 (test) | MAE0.071 | 28 | |
| Short-term forecasting | COVID-19 | MAE0.123 | 26 | |
| Epidemic Forecasting | COVID-19 (Overall) | RMSE169.1 | 23 | |
| Epidemic Forecasting | COVID-19 (14 d Ahead) | RMSE230.1 | 23 | |
| Epidemic Forecasting | COVID-19 7 d Ahead | RMSE149.3 | 23 | |
| Epidemic Forecasting | COVID-19 3 d Ahead | RMSE125.3 | 23 | |
| Multivariate Time Series Forecasting | COVID-19 | MAE0.123 | 23 | |
| Medical Image Segmentation | Covid-19 | Dice Score45.04 | 21 | |
| Medical Image Classification | Covid-19 | F1-Score97.78 | 20 | |
| Opinion Dynamics Modeling | COVID-19 (60 T) | RMSE20.05 | 17 | |
| Opinion Dynamics Modeling | COVID-19 (30 T) | RMSE18.26 | 17 | |
| Multivariate Time-series Forecasting | COVID-19 1/22/2020 to 5/10/2020 (14 Day horizon) | MAPE17.1 | 16 | |
| Multivariate Time-series Forecasting | COVID-19 7 Day horizon 1/22/2020 to 5/10/2020 | MAPE15.5 | 16 | |
| Symbolic Regression | COVID-19 (C-19) (test) | MSE0 | 15 | |
| Long-term forecasting | COVID-19 Country 1 | MSE0.11 | 15 | |
| Medical Image Segmentation | COVID-19 dataset (test) | Dice Coefficient73.99 | 14 | |
| Volumetric Segmentation | COVID-19-20 100% labels | DSC65.1 | 12 | |
| Volumetric Segmentation | COVID-19-20 10% labels | DSC44.3 | 12 | |
| Epidemic Forecasting | COVID-19 | MSE10,753 | 12 | |
| Time-series Forecasting | COVID-19 (global) | RMSLE0.9289 | 12 | |
| Identifying shifted features | COVID-19 Dense Simulation | AUC95 | 12 | |
| Identifying shifted features | COVID-19 Sparse Simulation | AUC99 | 12 | |
| Sparse-view CT | COVID-19 dataset (unseen) | PSNR33.72 | 12 | |
| Next-event time and location prediction | COVID-19 | Temporal Error (RMSE)0.093 | 10 |
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