166 citations · 504 across the 15 of their papers we have counts for
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Michael Chang, Thomas L. Griffiths, Sergey Levine
Iterative refinement -- start with a random guess, then iteratively improve the guess -- is a useful paradigm for representation learning because it offers a way to break symmetrie…