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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>BRUNO: A Deep Recurrent Model for Exchangeable Data · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1802.07535/</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/1802.07535/feed.xml" rel="self" type="application/rss+xml" /><item><title>BRUNO: A Deep Recurrent Model for Exchangeable Data — mentioned by 317070</title><link>https://news.ycombinator.com/item?id=17588451</link><guid isPermaLink="false">urn:hackerpapers:mention:1802.07535:17588451</guid><pubDate>Sun, 22 Jul 2018 19:33:49 GMT</pubDate><description>&lt;p&gt;It&amp;#x27;s the opposite, they are very data efficient (compared to neural networks). Also, they are a bayesian method and give some mathematical guarantees. They are computationally expensive though. You can use them in neural nets to do few shot learning [0]. [0] https://arxiv.org/pdf/1802.07535.pdf or https://arxiv.org/abs/1807.01622&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1802.07535/"&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>
