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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Measuring abstract reasoning in neural networks · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1807.04225/</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/1807.04225/feed.xml" rel="self" type="application/rss+xml" /><item><title>Measuring abstract reasoning in neural networks — mentioned by antidesitter</title><link>https://news.ycombinator.com/item?id=18722477</link><guid isPermaLink="false">urn:hackerpapers:mention:1807.04225:18722477</guid><pubDate>Thu, 20 Dec 2018 04:19:43 GMT</pubDate><description>&lt;p&gt;IQ tests [1] and one-shot learning come to mind. [1] https://arxiv.org/abs/1807.04225&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1807.04225/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item></channel></rss>
