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ICLR 2020: Yann LeCun and Energy-Based Models
Machine Learning Street Talk (MLST)
The Manifold of Language in a Neural Network
Every single layer in a neural network transforms one manifold into another. We could quite easily transform language into a spherical manifold just doing an l to normalis on. So i guess what i'm saying is that there are many possible manifolds that language could exist on. And given a typical neal network for bert, does the manifold change and evolve during training? I think it the one that that the bird represents for sure.
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