| Benchmark | Model | Rank | Results |
|---|---|---|---|
| few-shot-text-classification-on-average-on | SetFit + OCD(5) | #1 | Accuracy: 0.648 |
| few-shot-text-classification-on-average-on | SetFit + OCD | #2 | Accuracy: 0.643 |
| few-shot-text-classification-on-average-on | T-few 3B | #3 | Accuracy: 0.633 |
| few-shot-text-classification-on-average-on | SetFit | #4 | Accuracy: 0.622 |
| image-classification-on-tiny-imagenet-1 | DeiT-B/16-D + OCD(5) | #2 | Validation Acc: 92.0% |
| image-classification-on-tiny-imagenet-1 | DeiT-B/16-D + OCD | #6 | Validation Acc: 90.8% |
| speech-separation-on-libri5mix | OCD | #1 | SI-SDRi: 13.4 |