AutoScale selects fixed linear-scalarization weights by optimizing multi-task optimization metrics during a short exploration phase, matching grid-searched performance without search.
The cityscapes dataset for semantic urban scene understanding
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
dataset 1
citation-polarity summary
fields
cs.LG 1years
2025 1verdicts
CONDITIONAL 1roles
dataset 1polarities
use dataset 1representative citing papers
citing papers explorer
-
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.