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by ylecun on 2021-03-04 (UTC).

SEER: large-scale SSL for vision.
- pre-train via SSL on 1 billion randomly selected images using SwAV.
- fine-tune on ImageNet: 84.2% top-1 accuracy.
- ft on 10% of ImageNet: 77.9%
- ft on 1% (13 samples per class): 60.5%
- beats SOTA on other CV taskshttps://t.co/Q8BT5QvKmf

— Yann LeCun (@ylecun) March 4, 2021
researchcv
by GaryMarcus on 2021-03-07 (UTC).

Want to make your results look "incredible"? Turn a modest improvement into a WIRED story? Step 1: run y axis from 62 to 78 (rather than 0 to 100). Step 2: help yourself to an extra billion parameters. Step 3: congratulate yourself.

New SEER paper @facebook pic.twitter.com/y64IXuPy9f

— Gary Marcus (@GaryMarcus) March 7, 2021
miscresearchthought

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