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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>A Flexible Approach to Automated RNN Architecture Generation · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1712.07316/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:16:22 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/1712.07316/feed.xml" rel="self" type="application/rss+xml" /><item><title>A Flexible Approach to Automated RNN Architecture Generation — mentioned by jdonaldson</title><link>https://news.ycombinator.com/item?id=17056329</link><guid isPermaLink="false">urn:hackerpapers:mention:1712.07316:17056329</guid><pubDate>Sat, 12 May 2018 22:24:11 GMT</pubDate><description>&lt;p&gt;Yeah, I agree about smarter parameter search and training. That was a big theme at ICLR this year. Fwiw, here&amp;#x27;s the paper on RNN architecture generation referenced earlier. https://arxiv.org/abs/1712.07316&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1712.07316/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item><item><title>A Flexible Approach to Automated RNN Architecture Generation — HN submission</title><link>https://news.ycombinator.com/item?id=15985315</link><guid isPermaLink="false">urn:hackerpapers:submission:1712.07316:15985315</guid><pubDate>Fri, 22 Dec 2017 04:38:36 GMT</pubDate><description>&lt;p&gt;A Flexible Approach to Automated RNN Architecture Generation&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;2 points; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/1712.07316/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item></channel></rss>
