An Analytical Theory of Auxiliary Learning
Auxiliary learning is an optimization paradigm in which a neural network's performance on a target task is improved by jointly training it on additional tasks. However, the mechanisms behind this improvement remain poorly understood. We study this problem using a teacher-student framework and derive a closed system of...
Federico Milanesio, Alessandro Ingrosso, Matteo Osella
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