| Dataset Name | SOTA Method | Metric | Trend | ||
|---|---|---|---|---|---|
| Combined speech dataset (Baker, LJSpeech, ESD, CREMA-D, Genshin Impact) 1.0 (subject-independent) | ParaMETA | Acc (B)0.382 | 19 | 3d ago | |
| HCP-Age | GNN* | Accuracy50.23 | 14 | 3d ago | |
| UTKFace (test) | HKD | Accuracy76.17 | 12 | 3d ago | |
| FairFace age | MeFEm | Accuracy (W)57.2 | 7 | 3d ago | |
| bFFHQ bias-conflicting samples (test) | DebiAN | Accuracy62.8 | 6 | 3d ago | |
| CREMA-D | CLSP | WA40.6 | 5 | 2d ago | |
| Queens (test) | Geospatial Attention | mIoU12.88 | 4 | 3d ago | |
| UK Biobank | Brain-Semantoks | Balanced Accuracy31.15 | 3 | 3d ago | |
| Common Voice (test) | SimCLR | Accuracy44.75 | 2 | 3d ago | |
| Common Voice (val) | SimCLR | Accuracy43.38 | 2 | 3d ago | |
| Sonos (test) | Causally Disentangled Contrastive Learning | Accuracy40.23 | 2 | 3d ago | |
| Sonos (val) | Causally Disentangled Contrastive Learning | Accuracy50.48 | 2 | 3d ago | |
| Red Deer Camera Trap Dataset | Age Classifier (Lightweight experimentation pipeline) | Accuracy0.9068 | 1 | 3d ago |
