Reviews: Pareto Multi-Task Learning

Neural Information Processing Systems 

The paper is extending the recent (NeurIPS 2018) work, which poses multi-task learning as multi-objective optimization. Although the submission is somewhat incremental, it is significant. Finding an arbitrary point on a Pareto efficiency curve is a significant limitation, and practitioners would rather find the entire Pareto efficiency curve. The submission overcomes this limitation. Moreover, empirical results support the claim and show the significance of the method.