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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Deep Neural Networks and Tabular Data: A Survey · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2110.01889/</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/2110.01889/feed.xml" rel="self" type="application/rss+xml" /><item><title>Deep Neural Networks and Tabular Data: A Survey — mentioned by bluecoconut</title><link>https://news.ycombinator.com/item?id=32844253</link><guid isPermaLink="false">urn:hackerpapers:mention:2110.01889:32844253</guid><pubDate>Wed, 14 Sep 2022 22:25:18 GMT</pubDate><description>&lt;p&gt;Wow! Love it, this is the most exciting thing I&amp;#x27;ve seen in a while. I&amp;#x27;m working on something similar, and it&amp;#x27;s so great to see others who seem to get-it and are chasing generalization in AI systems! A few questions: 1. I&amp;#x27;m curious if you&amp;#x27;re representing the task-operations using RL techniques (as many personal assistant systems seem to be) or if this is entirely a seq2seq transformer style model for predicting actions? 2. Assumption: Due to scaling of transformers, I assume that this is not directly working on the image data of a screen, and instead is working off of DOM trees; (2a) is this…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2110.01889/"&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>Deep Neural Networks and Tabular Data: A Survey — HN submission</title><link>https://news.ycombinator.com/item?id=30868599</link><guid isPermaLink="false">urn:hackerpapers:submission:2110.01889:30868599</guid><pubDate>Thu, 31 Mar 2022 15:54:12 GMT</pubDate><description>&lt;p&gt;Deep Neural Networks and Tabular Data: A Survey&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;2 points; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2110.01889/"&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>
