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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Well-tuned Simple Nets Excel on Tabular Datasets · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2106.11189/</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/2106.11189/feed.xml" rel="self" type="application/rss+xml" /><item><title>Well-tuned Simple Nets Excel on Tabular Datasets — mentioned by ersiees</title><link>https://news.ycombinator.com/item?id=32335662</link><guid isPermaLink="false">urn:hackerpapers:mention:2106.11189:32335662</guid><pubDate>Wed, 03 Aug 2022 19:12:56 GMT</pubDate><description>&lt;p&gt;Our lab works on changing this. I think it might still take some years for a full solution, but so far we are successful with NNs for small datasets with meta-learning (https://arxiv.org/abs/2207.01848) and large datasets with regularisation (https://arxiv.org/abs/2106.11189). The first is very new, but the second is also cited in this paper, but they didn’t run it as a baseline.&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2106.11189/"&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>Well-tuned Simple Nets Excel on Tabular Datasets — mentioned by jwilber</title><link>https://news.ycombinator.com/item?id=32334265</link><guid isPermaLink="false">urn:hackerpapers:mention:2106.11189:32334265</guid><pubDate>Wed, 03 Aug 2022 17:02:33 GMT</pubDate><description>&lt;p&gt;If you’re interested in how tree-based models work, I wrote an interactive explanation on decision trees here: https://mlu-explain.github.io/decision-tree/ and random forests here: https://mlu-explain.github.io/random-forest/ It’s also worth noting that a recentish paper shows neural networks can perform well on tabular data if well-regularized: https://arxiv.org/abs/2106.11189v1?utm_source=jesper&amp;amp;utm_med...&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2106.11189/"&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>Well-tuned Simple Nets Excel on Tabular Datasets — HN submission</title><link>https://news.ycombinator.com/item?id=27595309</link><guid isPermaLink="false">urn:hackerpapers:submission:2106.11189:27595309</guid><pubDate>Tue, 22 Jun 2021 18:29:06 GMT</pubDate><description>&lt;p&gt;Regularization is all you need: simple neural nets can excel on tabular data&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;216 points; 93 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2106.11189/"&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>
