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ResearchFormerly WizWand

Contrastive Learning on (val)

1.244NT-Xent LossPRIOR
1.178521.620512.06252.50449Jun 23, 2026
Updated 4mo ago

Evaluation results

MethodLinks
PRIORToken type=Gaussian, Optimization variant=opt.2026.061.244
MBOP-TDToken type=Gaussian, Optimization variant=opt.2026.061.288
MBOP-ITDToken type=Gaussian, Optimization variant=opt.2026.061.337
PRIORToken type=EMA-VQ, Optimization variant=opt.2026.061.35
MBOP-ITDToken type=Gaussian, Optimization variant=match2026.061.391
PRIORToken type=Categorical, Optimization variant=opt.2026.061.4
MBOP-TDToken type=Gaussian, Optimization variant=match2026.061.424
MBOP-ITDToken type=EMA-VQ, Optimization variant=opt.2026.061.426
MBOP-ITDToken type=Categorical, Optimization variant=opt.2026.061.844
MBOP-ITDToken type=EMA-VQ, Optimization variant=match2026.061.994
MBOP-ITDToken type=Categorical, Optimization variant=match2026.062.137
MBOP-TDToken type=EMA-VQ, Optimization variant=opt.2026.062.183
MBOP-TDToken type=EMA-VQ, Optimization variant=match2026.062.376
MBOP-TDToken type=Categorical, Optimization variant=match2026.062.664
MBOP-TDToken type=Categorical, Optimization variant=opt.2026.062.881