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This repository was archived by the owner on Oct 31, 2023. It is now read-only.
In the paper, use L(zt, zs) = l(zt, qs) + l(zs, qt) for training, if only use L=l(zt, qt) for training, that is, one branch of the two data augmentations is removed. Do you think this can train normally?
In the paper, use L(zt, zs) = l(zt, qs) + l(zs, qt) for training, if only use L=l(zt, qt) for training, that is, one branch of the two data augmentations is removed. Do you think this can train normally?