2min chapter

Machine Learning Street Talk (MLST) cover image

061: Interpolation, Extrapolation and Linearisation (Prof. Yann LeCun, Dr. Randall Balestriero)

Machine Learning Street Talk (MLST)

CHAPTER

Is the Latent Too Big?

If the latent space is too big, lots of information will be incoded. And so even though it may be putting all kinds of little bits of extra information, it's probably only adding little plus or minus,. You know, point point one %, tight, tight things to the accuracy. Whereas andand so, since it is only adding these little, kind of very tiny values there, right? The only meaningful way to talk about interpolation or extrapolation on that entire dimension you've added there is really more just, are you interpolating ont the most salient dimensions?, he asks.

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