<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Reversible Column Networks · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2212.11696/</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/2212.11696/feed.xml" rel="self" type="application/rss+xml" /><item><title>Reversible Column Networks — mentioned by thomasahle</title><link>https://news.ycombinator.com/item?id=34745582</link><guid isPermaLink="false">urn:hackerpapers:mention:2212.11696:34745582</guid><pubDate>Fri, 10 Feb 2023 20:46:01 GMT</pubDate><description>&lt;p&gt;Nevermind, I guess it&amp;#x27;s &amp;quot;ImageNet-1K trained models&amp;quot; on which ViT gets 79.9% and the 90% is only when pretraining with ImageNet-22K. There are other non-attention based networks that get 90% too though: https://arxiv.org/pdf/2212.11696v3.pdf&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2212.11696/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CV</category></item></channel></rss>
