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ResearchFormerly WizWand

Offline Multi-Objective Optimization on Off-MOO-Bench MO-NAS

3.89Average IGDoffline RankEnd-to-End
3.53245.94628.3610.7738Jun 13, 2026
Updated 4mo ago

Evaluation results

MethodLinks
End-to-End2026.063.89
Multi Head2026.064
End-to-EndNumber of solutions=256, Percentile=50th2026.064.64
Multiple Models2026.064.95
Multi HeadNumber of solutions=256, Percentile=50th2026.065.01
Multiple ModelsNumber of solutions=256, Percentile=50th2026.065.28
MOBONumber of solutions=256, Percentile=50th2026.066.26
End-to-EndOptimization=PcGrad2026.066.54
MultipleModels + COMsNumber of solutions=256, Percentile=50th2026.066.56
MOBO2026.066.58
Multiple ModelsExtension=COMs2026.066.9
End-to-End + PcGradNumber of solutions=256, Percentile=50th2026.066.99
Multiple Models + RoMANumber of solutions=256, Percentile=50th2026.067.12
DOMOO2026.067.14
Multiple ModelsExtension=RoMA2026.067.3
Multi Head + PcGradNumber of solutions=256, Percentile=50th2026.067.42
Multi HeadOptimization=PcGrad2026.067.53
Multiple ModelsExtension=IOM2026.067.68
Multiple Models + IOMNumber of solutions=256, Percentile=50th2026.067.85
DOMOONumber of solutions=256, Percentile=50th2026.068.7
Multiple Models + ICTNumber of solutions=256, Percentile=50th2026.068.8
Multiple ModelsExtension=ICT2026.069.11
ParetoFlowNumber of solutions=256, Percentile=50th2026.069.19
D(best)Number of solutions=256, Percentile=50th2026.069.31
Multiple ModelsExtension=Tri-Mentoring2026.069.52
ParetoFlow2026.069.6
Multiple Models + Tri-MentoringNumber of solutions=256, Percentile=50th2026.069.71
End-to-EndOptimization=GradNorm2026.0610.93
MOBO-qParEGONumber of solutions=256, Percentile=50th2026.0611.27
End-to-End + GradNormNumber of solutions=256, Percentile=50th2026.0612.1
MOBOAcquisition Function=qParEGO2026.0612.15
Multi Head + GradNormNumber of solutions=256, Percentile=50th2026.0612.58
Multi HeadOptimization=GradNorm2026.0612.68
D(best)2026.0612.83