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Hey guys, author here. Thought I'd share this post on a classic algorithm called Neighbourhood Components Analysis. I almost never see it mentioned so this post is an attempt to rectify it. It's accompanied by a PyTorch implementation with a few modifications. There's also a neat discussion about its relationship to the contrastive loss function.
There's unfortunately not much to read here yet...
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