Papers with Filtering training

1 papers
Competence-based Curriculum Learning for Neural Machine Translation (N19-1)

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Challenge: Existing NMT systems require specialized heuristics and large batch sizes.
Approach: They propose a curriculum learning framework for NMT that reduces training time and costs . framework consists of a principled way of deciding which training samples are shown to the model .
Outcome: The proposed framework can reduce training time and improve performance of recurrent neural network models and Transformers.

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