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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Neural Module Networks · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1511.02799/</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/1511.02799/feed.xml" rel="self" type="application/rss+xml" /><item><title>Neural Module Networks — mentioned by Cybiote</title><link>https://news.ycombinator.com/item?id=12941563</link><guid isPermaLink="false">urn:hackerpapers:mention:1511.02799:12941563</guid><pubDate>Sun, 13 Nov 2016 02:48:44 GMT</pubDate><description>&lt;p&gt;I&amp;#x27;m talking about learning modularly. Children can categorize things they&amp;#x27;ve never seen before by inventing labels on the spot, they&amp;#x27;re not limited to selecting from a preexisting set (e.g. a lion is a &amp;quot;big cat&amp;quot;). They can recognize novelty and ask questions if nothing they know quites fit. As a human, you are able to learn the general concept of leg and understand it, even if it is in a context you have never seen before and an object you&amp;#x27;ve never seen or never seen used in that way before. Everything you learn, is also as part of a set of relations. Each of individual concept modified in a…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1511.02799/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CV</category></item></channel></rss>
