Competence-based Curriculum Learning for Neural Machine Translation

NAACL 2019 Emmanouil Antonios PlataniosOtilia StretcuGraham NeubigBarnabas PoczosTom M. Mitchell

Current state-of-the-art NMT systems use large neural networks that are not only slow to train, but also often require many heuristics and optimization tricks, such as specialized learning rate schedules and large batch sizes. This is undesirable as it requires extensive hyperparameter tuning... (read more)

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