Dynamic Evaluation of Neural Sequence Models Dynamic Evaluation of Neural Sequence Models
Paper summary Updating the parameters in a LSTM language model based on the observed sequence during testing. A slice of text is first processed and then used for a gradient descent update step. A regularisation term is also proposed which draws the parameters back towards the original model. https://i.imgur.com/zikOowE.png
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Dynamic Evaluation of Neural Sequence Models
Ben Krause and Emmanuel Kahembwe and Iain Murray and Steve Renals
arXiv e-Print archive - 2017 via Local arXiv
Keywords: cs.NE, cs.CL

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Summary by Marek Rei 2 months ago
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