NeurIPS 2019
Sun Dec 8th through Sat the 14th, 2019 at Vancouver Convention Center
Paper ID:9289
Title:Generalization in multitask deep neural classifiers: a statistical physics approach

This paper is a nice combination of theoretical understanding and simple experiments to verify it in the case of multitask learning in neural nets. Given that there is not much known in this space, this work can be impactful. I suggest authors to add a few multi-task experiments with real datasets to verify their understanding.