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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Benchmarking Neural Network Training Algorithms · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2306.07179/</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/2306.07179/feed.xml" rel="self" type="application/rss+xml" /><item><title>Benchmarking Neural Network Training Algorithms — mentioned by tikkun</title><link>https://news.ycombinator.com/item?id=36310110</link><guid isPermaLink="false">urn:hackerpapers:mention:2306.07179:36310110</guid><pubDate>Tue, 13 Jun 2023 13:41:34 GMT</pubDate><description>&lt;p&gt;If you want to see some of the baseline results, they&amp;#x27;re in section 7: https://arxiv.org/pdf/2306.07179.pdf&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2306.07179/"&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>Benchmarking Neural Network Training Algorithms — HN submission</title><link>https://news.ycombinator.com/item?id=36309901</link><guid isPermaLink="false">urn:hackerpapers:submission:2306.07179:36309901</guid><pubDate>Tue, 13 Jun 2023 13:24:54 GMT</pubDate><description>&lt;p&gt;Benchmarking Neural Network Training Algorithms&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/2306.07179/"&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>
