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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Recurrent Neural Network Training with Dark Knowledge Transfer · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1505.04630/</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/1505.04630/feed.xml" rel="self" type="application/rss+xml" /><item><title>Recurrent Neural Network Training with Dark Knowledge Transfer — mentioned by visarga</title><link>https://news.ycombinator.com/item?id=13042095</link><guid isPermaLink="false">urn:hackerpapers:mention:1505.04630:13042095</guid><pubDate>Sat, 26 Nov 2016 06:32:55 GMT</pubDate><description>&lt;p&gt;Yeah, but you don&amp;#x27;t want to run an ensemble of 10 RNNs on your phone, or in the cloud for that matter, when you got billions of queries. It&amp;#x27;s too expensive. In practice the ensemble model is compactly transferred into a single network. In order to do that, they train a new network to copy the outputs of the ensemble, exploiting &amp;quot;dark knowledge&amp;quot;. Recurrent Neural Network Training with Dark Knowledge Transfer - https://arxiv.org/abs/1505.04630v5&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1505.04630/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>stat.ML</category></item></channel></rss>
