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

3.89Average IGDoffline Rank

End-to-End

Updated 1mo ago

Evaluation Results

Method	Links
End-to-End 2026.06		3.89
Multi Head 2026.06		4
End-to-End 2026.06		4.64
Multiple Models 2026.06		4.95
Multi Head 2026.06		5.01
Multiple Models 2026.06		5.28
MOBO 2026.06		6.26
End-to-End 2026.06		6.54
MultipleModels + COMs 2026.06		6.56
MOBO 2026.06		6.58
Multiple Models 2026.06		6.9
End-to-End + PcGrad 2026.06		6.99
Multiple Models + RoMA 2026.06		7.12
DOMOO 2026.06		7.14
Multiple Models 2026.06		7.3
Multi Head + PcGrad 2026.06		7.42
Multi Head 2026.06		7.53
Multiple Models 2026.06		7.68
Multiple Models + IOM 2026.06		7.85
DOMOO 2026.06		8.7
Multiple Models + ICT 2026.06		8.8
Multiple Models 2026.06		9.11
ParetoFlow 2026.06		9.19
D(best) 2026.06		9.31
Multiple Models 2026.06		9.52
ParetoFlow 2026.06		9.6
Multiple Models + Tri-Mentoring 2026.06		9.71
End-to-End 2026.06		10.93
MOBO-qParEGO 2026.06		11.27
End-to-End + GradNorm 2026.06		12.1
MOBO 2026.06		12.15
Multi Head + GradNorm 2026.06		12.58
Multi Head 2026.06		12.68
D(best) 2026.06		12.83