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Renmin University of China, Ant Group
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GEAR slashes inference time by up to 2866 times while boosting AUC scores beyond conventional supervised models.
Gradient manipulation in multi-task learning can be significantly enhanced by recognizing the matrix structure of model parameters, leading to superior optimization outcomes.
