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[D] Learning one representation for multiple tasks – favoring some tasks over others?

Are there any papers on balancing the impact of multiple tasks on the final single representation?

Let there be n tasks to be solved by one representation:

L_total = L_t1 + L_t2 + … + L_tn

If we want to favor one task over another based on prior knowledge is there any other way than setting a lambda type hyperparameter to increase the loss for a specific task?

submitted by /u/searchingundergrad
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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.