Contrastive Learning on (val)
1.244NT-Xent LossPRIOR
Evaluation Results
| Method | Links | |
|---|---|---|
| PRIORToken type=Gaussian, Optimization variant=opt.2026.06 | 1.244 | |
| MBOP-TDToken type=Gaussian, Optimization variant=opt.2026.06 | 1.288 | |
| MBOP-ITDToken type=Gaussian, Optimization variant=opt.2026.06 | 1.337 | |
| PRIORToken type=EMA-VQ, Optimization variant=opt.2026.06 | 1.35 | |
| MBOP-ITDToken type=Gaussian, Optimization variant=match2026.06 | 1.391 | |
| PRIORToken type=Categorical, Optimization variant=opt.2026.06 | 1.4 | |
| MBOP-TDToken type=Gaussian, Optimization variant=match2026.06 | 1.424 | |
| MBOP-ITDToken type=EMA-VQ, Optimization variant=opt.2026.06 | 1.426 | |
| MBOP-ITDToken type=Categorical, Optimization variant=opt.2026.06 | 1.844 | |
| MBOP-ITDToken type=EMA-VQ, Optimization variant=match2026.06 | 1.994 | |
| MBOP-ITDToken type=Categorical, Optimization variant=match2026.06 | 2.137 | |
| MBOP-TDToken type=EMA-VQ, Optimization variant=opt.2026.06 | 2.183 | |
| MBOP-TDToken type=EMA-VQ, Optimization variant=match2026.06 | 2.376 | |
| MBOP-TDToken type=Categorical, Optimization variant=match2026.06 | 2.664 | |
| MBOP-TDToken type=Categorical, Optimization variant=opt.2026.06 | 2.881 |