34 citations · 150 across the 26 of their papers we have counts for
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cs.LG2020★ 30 cited
Learning the Pareto Front with Hypernetworks
Aviv Navon, Aviv Shamsian, Gal Chechik +1
Multi-objective optimization (MOO) problems are prevalent in machine learning. These problems have a set of optimal solutions, called the Pareto front, where each point on the fron…
cs.CV2020★ 4 cited
Auxiliary Learning by Implicit Differentiation
Aviv Navon, Idan Achituve, Haggai Maron +2
Training neural networks with auxiliary tasks is a common practice for improving the performance on a main task of interest. Two main challenges arise in this multi-task learning s…