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Found 3 papers, 2 papers with code
STEM: Unleashing the Power of Embeddings for Multi-task Recommendation
Surprisingly, negative transfer still occurs in existing MTL methods on samples that receive comparable feedback across tasks.
Temporal Interest Network for User Response Prediction
To fill this gap, we propose a Temporal Interest Network (TIN) to capture the semantic-temporal correlation simultaneously between behaviors and the target.
AdaTask: A Task-aware Adaptive Learning Rate Approach to Multi-task Learning
In this paper, we propose to measure the task dominance degree of a parameter by the total updates of each task on this parameter.
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