Multi-Task Learning
Definition of
Multi-Task Learning
Multi-Task Learning (MTL) is a subfield in Machine Learning that leverages the similarities and differences of multiple learning tasks in order to solve them all at the same time. This can result in better learning efficiency and prediction accuracy.
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