The researchers filled in one hole by borrowing Suggestions from the machine-Mastering procedure referred to as contrastive Discovering and applying them to picture clustering. This resulted in a completely new algorithm which could classify unlabeled pictures 8 percent better than An additional point out-of-the-artwork approach.
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