We often optimize a Linear combinations of losses and hope to simultaneously reduce both and losses, but that this linear combination is actually precarious and treacherous.
Authours showed that when the pareto curve is concave, only one of these two losses was considered and this linear combination was valid in convex pareto curve.
In fact, We can't figure out the property of the pareto curve.
We can reformulate the linear combination losses as a constraint optimization problem, e.g., restricting
By doing so, authors gave three possible solutions.
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