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Breaking a Task into Stages Can Lower Data Needs
If a prediction problem can be split into simpler intermediate steps with their own labels, each stage may be easier to learn than a single model that goes straight from input to final output. In that case, the staged approach can require less labeled data overall than a fully end-to-end model.
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Breaking a Task into Stages Can Lower Data Needs
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Breaking a Task into Pipeline Stages Can Make Learning Easier