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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Schema Networks: Zero-shot Transfer with a Generative Causal Model of Intuitive Physics · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1706.04317/</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/1706.04317/feed.xml" rel="self" type="application/rss+xml" /><item><title>Schema Networks: Zero-shot Transfer with a Generative Causal Model of Intuitive Physics — mentioned by blueyes</title><link>https://news.ycombinator.com/item?id=14856838</link><guid isPermaLink="false">urn:hackerpapers:mention:1706.04317:14856838</guid><pubDate>Wed, 26 Jul 2017 15:11:50 GMT</pubDate><description>&lt;p&gt;They&amp;#x27;ve published a few research papers. Few other researchers cite them, so it&amp;#x27;s hard to argue that their research has been influential, or even significant. In 2013 they announced they had solved/broken CAPTCHA, but refused to share their code, for which they were criticized: https://www.vicarious.com/news-detail-02.html More recently, they published a paper on what they call Schema Networks, which are an attempt to blend deep learning with concepts. They&amp;#x27;re winning Atari games with that, but DeepMind did it years ago. https://arxiv.org/abs/1706.04317 They&amp;#x27;re seven years old, and until…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1706.04317/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.AI</category></item></channel></rss>
