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Contains code for the NeurIPS 2020 paper by Pan et al., "Continual Deep Learning by FunctionalRegularisation of Memorable Past"
Hi, is it possible to use fromp for task like speech recognition?
If possible what I should change in the code?
Thanks
Comparing your code with the paper, I can't seem to find the rescaling of the loss before functional regularization by the training set size N
(see e.g. equation 15).
Is that on purpose or did I just miss it?
Is the implementation of task boundary detection (from the paper) available in the repo?
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