Multi-task learning succeeds in deep networks by sharing parameters across related tasks and selecting helpful auxiliary tasks to improve generalization and efficiency.
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An Overview of Multi-Task Learning in Deep Neural Networks
Multi-task learning succeeds in deep networks by sharing parameters across related tasks and selecting helpful auxiliary tasks to improve generalization and efficiency.