Deep Learning for Natural Language Processing – ICLR 2017 Discoveries

A few brief notes:<p>Not at all sure the recommendations system papers should be grouped with QA papers. The techniques used aren&#x27;t that closely related.<p>FastText(.zip) continues to be a weird project.<p><i>LEARNING A NATURAL LANGUAGE INTERFACE WITH NEURAL PROGRAMMER</i> - yeah, that&#x27;s something. The neural programmer and related stuff seems like something out of sci-fi, even more so than normal neural networks.

I provided a write-up of interesting ICLR submissions, primarily for NLP, but have also provided a small snippet explaining why I thought the paper was important or how it fit with other recent relevant papers.<p><a href="http:&#x2F;&#x2F;smerity.com&#x2F;articles&#x2F;2016&#x2F;iclr_2017_submissions.html" rel="nofollow">http:&#x2F;&#x2F;smerity.com&#x2F;articles&#x2F;2016&#x2F;iclr_2017_submissions.html</a><p>I&#x27;d also strongly recommend people read through all the submissions themselves as every person seems to select a different set of papers depending on what they&#x27;re interested in. My write-up has very few papers discussing CNNs for example as I&#x27;m focused on RNNs for the most part.<p><a href="http:&#x2F;&#x2F;openreview.net&#x2F;group?id=ICLR.cc&#x2F;2017&#x2F;conference" rel="nofollow">http:&#x2F;&#x2F;openreview.net&#x2F;group?id=ICLR.cc&#x2F;2017&#x2F;conference</a>

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