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Order Matters in the Presence of Dataset Imbalance for Multilingual Learning
In this paper, we empirically study the optimization dynamics of multi-task learning, particularly focusing on those that govern a collection of tasks with significant data imbalance.
Do Current Multi-Task Optimization Methods in Deep Learning Even Help?
Recent research has proposed a series of specialized optimization algorithms for deep multi-task models.
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