arXiv stat.ML
· Papers
MOON: Multi-Objective OrthoNormalized Updates for Multitask Learning
arXiv:2608.11749v1 Announce Type: cross Abstract: Multi-objective optimization (MOO) has demonstrated significant success in multi-task learning by mitigating task conflicts through gradient manipulation. However, most existing methods flatten model parameters into vectors and perform gradient manipulation under Euclid