simclr
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I got curious while reading the paper. Why do we use just one positive sample?
I got curious while reading the paper. Why do we use just one positive sample?
I mean we can generate more positive samples by using strong augmentations.
I think many positive also help representation learning.
Do you already experiment?
Using more positive examples would converge faster (in iterations) but at a cost of more compute per iteration. There's a trick for doing it more efficient in SWAV (i.e. multi-crop).