Sparse training with fixed per-neuron top-magnitude masks reduces the measured incidence of gradient conflict and improves multi-task learning performance across several backbones and gradient manipulation methods.
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Proactive Gradient Conflict Mitigation in Multi-Task Learning: A Sparse Training Perspective
Sparse training with fixed per-neuron top-magnitude masks reduces the measured incidence of gradient conflict and improves multi-task learning performance across several backbones and gradient manipulation methods.