SON-GOKU measures gradient conflicts between tasks, builds a conflict graph, greedily colors it, and updates one compatible task group per step, reporting gains over multi-task baselines.
It uses an online, per-step rule (no pairwise gradient ops), adding negligible overhead while remaining robust to loss-scale differences
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Graph Coloring for Multi-Task Learning
SON-GOKU measures gradient conflicts between tasks, builds a conflict graph, greedily colors it, and updates one compatible task group per step, reporting gains over multi-task baselines.