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Exploring Optimizations in Multi-Task Recommendation via Manipulating Auxiliary Gradients
Auxiliary Task Learning has proven to be an effective way to transfer knowledge between tasks. This is the case in many personalized recommendation scenarios, where many auxiliary tasks can boost the performance of the ...