Papers with easy-to-hard order
Uncertainty-Aware Curriculum Learning for Neural Machine Translation (2020.acl-main)
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| Challenge: | Neural machine translation (NMT) has proven to be facilitated by curriculum learning which presents examples in an easy-to-hard order at different training stages. |
| Approach: | They propose to use an uncertainty-aware curriculum learning approach to assess data difficulty and model competence to provide examples in an easy-to-hard order at different training stages. |
| Outcome: | The proposed approach outperforms baseline and related methods on translation quality and convergence speed. |