We're writing an academic paper about fastai2. As well as citing the obvious prior work (pytorch, tf, blocks/fuel, keras) I'd like to make sure we don't miss stuff with significant innovations. Any suggestions for stuff we should look at (which launched specific new innovations)?
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Thanks for the suggestion! I've often promoted Tensorly, as you know - although fastai doesn't have any functionality inspired by or related to it, so a citation wouldn't quite fit, unfortunately
Thanks @jeremyphoward I hope in future you can incorporate tensorly. Happy to chat more about it
