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ICLR 2020: Yann LeCun and Energy-Based Models
Machine Learning Street Talk (MLST)
Is There a Divergence in the Two Tasks?
With every additional task you introduce, the point is to find more ways to find points off of the manifold. But don't on'ly think that there is a divergence in in the two tasks. And by doing gradient descend on both tasks equally, these features might develop better. The same features will transfer to other tasks that you then find to knon which is what i'm i' going to talk about first.
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