AutoScale selects fixed linear-scalarization weights by optimizing multi-task optimization metrics during a short exploration phase, matching grid-searched performance without search.
Bayesian uncertainty for gradient aggre- gation in multi-task learning, 2024
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AutoScale: Linear Scalarization Guided by Multi-Task Optimization Metrics
AutoScale selects fixed linear-scalarization weights by optimizing multi-task optimization metrics during a short exploration phase, matching grid-searched performance without search.