SAM-GS is a new multi-task optimizer that modulates gradient updates based on gradient magnitude similarity to reduce task conflicts.
In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2016)
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Gradient Similarity Surgery in Multi-Task Deep Learning
SAM-GS is a new multi-task optimizer that modulates gradient updates based on gradient magnitude similarity to reduce task conflicts.