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Workshop

Meta-Learning a Dynamical Language Model

Thomas Wolf · Julien Chaumond · clement delangue

East Meeting Level 8 + 15 #8

Thu 3 May, 4:30 p.m. PDT

We consider the task of word-level language modeling and study the possibility of combining hidden-states-based short-term representations with medium-term representations encoded in dynamical weights of a language model. Our work extends recent experiments on language models with dynamically evolving weights by casting the language modeling problem into an online learning-to-learn framework in which a meta-learner is trained by gradient-descent to continuously update a language model weights.

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