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Acceleration Consortium, University of Toronto, Toronto, ON M5R 0A3, Canada, Department of Materials Science and Engineering, University of Toronto, St. George Campus, Toronto, ON M5R 0A3, Canada, Department of Physics, University of Toronto, St. George Campus, Toronto, ON M5R 0A3, Canada, Vector Institute for Artificial Intelligence, Toronto, ON M5S 1M1, Canada
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Exploiting approximate label symmetries can significantly improve data scaling in machine learning, even when those symmetries aren't perfect.
