Multi-Class Classification on PTB-XL
0.943Macro AUCER-JEPA
Evaluation Results
| Method | Links | |
|---|---|---|
| ER-JEPAPretrain dataset=Shao+CODE15, Records=180 K, Evaluation protocol=Fine-Tuning2026.07 | 0.943 | |
| ER-JEPA (10 trials)Pretrain dataset=Shao+CODE15, Records=180 K, Evaluation protocol=Fine-Tuning, Downstream trials=102026.07 | 0.943 | |
| JEPA (10 trials)Pretrain dataset=10 datasets, Records=1 M, Evaluation protocol=Fine-Tuning, Downstream trials=102026.07 | 0.935 | |
| SimCLRPretrain dataset=Shao+CODE15, Records=180 K, Evaluation protocol=Fine-Tuning2026.07 | 0.928 | |
| ECG-JEPAPretrain dataset=Shao+CODE15, Records=180 K, Evaluation protocol=Fine-Tuning2026.07 | 0.928 | |
| JEPA (10 trials)Pretrain dataset=MIMIC-IV-ECG, Records=800 K, Evaluation protocol=Fine-Tuning, Downstream trials=102026.07 | 0.928 | |
| 1D-JEPA (5 pretrained encoders)Pretrain dataset=Shao+CODE15, Records=180 K, Evaluation protocol=Fine-Tuning2026.07 | 0.923 | |
| MLAEPretrain dataset=Shao+CODE15, Records=180 K, Evaluation protocol=Fine-Tuning2026.07 | 0.915 | |
| MoCo v3Pretrain dataset=Shao+CODE15, Records=180 K, Evaluation protocol=Fine-Tuning2026.07 | 0.913 | |
| MTAEPretrain dataset=Shao+CODE15, Records=180 K, Evaluation protocol=Fine-Tuning2026.07 | 0.91 | |
| ST-MEMPretrain dataset=Shao+CODE15, Records=180 K, Evaluation protocol=Fine-Tuning2026.07 | 0.91 | |
| KEDPretrain dataset=MIMIC-IV-ECG, Records=800 K, Evaluation protocol=Fine-Tuning2026.07 | 0.906 | |
| ECG-FMPretrain dataset=UHN [10], Records=622 K, Evaluation protocol=Fine-Tuning2026.07 | 0.895 |