arxiv
PublishedJune 19, 2026 at 4:00 AM
—neutral
Interactive Pareto navigation for deep multi-task learning
Publisher summary· verbatim
arXiv:2606.19521v1 Announce Type: new Abstract: In multi-task learning, handling an increasing number of objectives can quickly become challenging, both in terms of the computational resources and the decision maker's capacity to choose appropriate trade-offs. A widely used approach is thus to aggre
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Originally published on arxiv ↗