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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Why do tree-based models still outperform deep learning on tabular data? · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2207.08815/</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/2207.08815/feed.xml" rel="self" type="application/rss+xml" /><item><title>Why do tree-based models still outperform deep learning on tabular data? — mentioned by babel_</title><link>https://news.ycombinator.com/item?id=39851558</link><guid isPermaLink="false">urn:hackerpapers:mention:2207.08815:39851558</guid><pubDate>Thu, 28 Mar 2024 13:59:52 GMT</pubDate><description>&lt;p&gt;So, from the perspective I have within the subfield I work in, explainable AI (XAI), we&amp;#x27;re seeing a bunch of fascinating developments. First, as you mentioned, Rudin continues to prove that the reason for using AI/ML is that we don&amp;#x27;t understand the problem well enough; otherwise we wouldn&amp;#x27;t even think to use it! So, pushing our focus to better understand the problem, and then levy ML concepts and techniques (including &amp;quot;classical AI&amp;quot; and statistical learning), we&amp;#x27;re able to make something that not only outperforms some state-of-the-art in most metrics, but often even is much less resource…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2207.08815/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item><item><title>Why do tree-based models still outperform deep learning on tabular data? — mentioned by hackerlight</title><link>https://news.ycombinator.com/item?id=39825989</link><guid isPermaLink="false">urn:hackerpapers:mention:2207.08815:39825989</guid><pubDate>Tue, 26 Mar 2024 10:04:08 GMT</pubDate><description>&lt;p&gt;What paper says the opposite? This is what I can find: https://arxiv.org/abs/2207.08815 https://arxiv.org/abs/2305.02997&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2207.08815/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item><item><title>Why do tree-based models still outperform deep learning on tabular data? — HN submission</title><link>https://news.ycombinator.com/item?id=39601710</link><guid isPermaLink="false">urn:hackerpapers:submission:2207.08815:39601710</guid><pubDate>Tue, 05 Mar 2024 10:44:01 GMT</pubDate><description>&lt;p&gt;Why do tree-based models still outperform deep learning on tabular data? (2022)&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;212 points; 111 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2207.08815/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item><item><title>Why do tree-based models still outperform deep learning on tabular data? — mentioned by wenc</title><link>https://news.ycombinator.com/item?id=37851788</link><guid isPermaLink="false">urn:hackerpapers:mention:2207.08815:37851788</guid><pubDate>Wed, 11 Oct 2023 23:39:26 GMT</pubDate><description>&lt;p&gt;DL also don’t win at medium scale tabular data. This paper mentions why and how DL could might better (if it indeed can, with limited sized data) Why do tree-based models still outperform deep learning on tabular data? https://arxiv.org/abs/2207.08815&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2207.08815/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item><item><title>Why do tree-based models still outperform deep learning on tabular data? — HN submission</title><link>https://news.ycombinator.com/item?id=32333565</link><guid isPermaLink="false">urn:hackerpapers:submission:2207.08815:32333565</guid><pubDate>Wed, 03 Aug 2022 16:08:02 GMT</pubDate><description>&lt;p&gt;Why do tree-based models still outperform deep learning on tabular data?&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;315 points; 139 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2207.08815/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item><item><title>Why do tree-based models still outperform deep learning on tabular data? — HN submission</title><link>https://news.ycombinator.com/item?id=32213240</link><guid isPermaLink="false">urn:hackerpapers:submission:2207.08815:32213240</guid><pubDate>Sun, 24 Jul 2022 13:22:51 GMT</pubDate><description>&lt;p&gt;Why do tree-based models still outperform deep learning on tabular data?&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;3 points; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2207.08815/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item></channel></rss>
