2min chapter

The Gradient: Perspectives on AI cover image

Yann LeCun on his Start in Research and Self-Supervised Learning

The Gradient: Perspectives on AI

CHAPTER

The Key Idea Is You Don't Need Negative Pairs

There's a lot of ways for images to be different from each other. And even if the embedding space in the end has the component dimension, it's still hard. So SimClear, for example, takes a very long time to train because of that. You have to use all kind of tricks for hard negative mining and all that stuff. The only one was noise at Target.

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