Literature on NN with multiple objectives

Hi guys,

I have a RNN with tabular data that needs to predict over 30 outputs at each time step. What I have observed is that the prediction of one output damages the other. Can you guys recommend some literature on how to specialize your NN to predict different outputs? I know that, for autonomous driving, you may have many outputs being generated at the same time.

Thanks in advance!

I thought this was a good summary: A Comparison of Loss Weighting Strategies for Multi task Learning in Deep Neural Networks