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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Hierarchical compositional feature learning · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1611.02252/</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/1611.02252/feed.xml" rel="self" type="application/rss+xml" /><item><title>Hierarchical compositional feature learning — mentioned by p1esk</title><link>https://news.ycombinator.com/item?id=20329793</link><guid isPermaLink="false">urn:hackerpapers:mention:1611.02252:20329793</guid><pubDate>Mon, 01 Jul 2019 21:11:08 GMT</pubDate><description>&lt;p&gt;Yeah they do, here are 3 papers on convnets: https://arxiv.org/abs/1611.02252 https://arxiv.org/abs/1611.02767 https://arxiv.org/abs/1706.04313 But it seems like lately they focus more on RL for robotics.&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1611.02252/"&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>
