Consistent Multitask Learning with Nonlinear Output Relations
Carlo Ciliberto, Alessandro Rudi, Lorenzo Rosasco, Massimiliano Pontil
–Neural Information Processing Systems
Improving the efficiency of learning from human supervision is one of the great challenges in machine learning. Multitask learning is one of the key approaches in this sense and it is based on the assumption that different learning problems (i.e.
Neural Information Processing Systems
Nov-21-2025, 12:27:34 GMT
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