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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Shortcut Learning in Deep Neural Networks · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2004.07780/</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/2004.07780/feed.xml" rel="self" type="application/rss+xml" /><item><title>Shortcut Learning in Deep Neural Networks — mentioned by MindGods</title><link>https://news.ycombinator.com/item?id=23952090</link><guid isPermaLink="false">urn:hackerpapers:mention:2004.07780:23952090</guid><pubDate>Sat, 25 Jul 2020 20:21:04 GMT</pubDate><description>&lt;p&gt;Link to paper: https://arxiv.org/abs/2004.07780&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2004.07780/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CV</category></item><item><title>Shortcut Learning in Deep Neural Networks — mentioned by ArtWomb</title><link>https://news.ycombinator.com/item?id=23476126</link><guid isPermaLink="false">urn:hackerpapers:mention:2004.07780:23476126</guid><pubDate>Wed, 10 Jun 2020 12:02:34 GMT</pubDate><description>&lt;p&gt;Humans observe an object once, such as a cup for drinking water, and we immediately grasp its &amp;quot;cupness&amp;quot;. We can identify infinite varieties of cups despite variations in morphology, design, utility and context. Simply based on a single learning instance. This absence of any neural theory of inference is at the crux of the problem ;) Shortcut Learning in Deep Neural Networks https://arxiv.org/abs/2004.07780&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2004.07780/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CV</category></item><item><title>Shortcut Learning in Deep Neural Networks — HN submission</title><link>https://news.ycombinator.com/item?id=22904577</link><guid isPermaLink="false">urn:hackerpapers:submission:2004.07780:22904577</guid><pubDate>Sat, 18 Apr 2020 01:28:33 GMT</pubDate><description>&lt;p&gt;Shortcut Learning in Deep Neural Networks&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;3 points; 1 discussion reply on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2004.07780/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.CV</category></item></channel></rss>
