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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Training Large Neural Networks with Constant Memory using a New Execution Algorithm · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2002.05645/</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/2002.05645/feed.xml" rel="self" type="application/rss+xml" /><item><title>Training Large Neural Networks with Constant Memory using a New Execution Algorithm — HN submission</title><link>https://news.ycombinator.com/item?id=24904956</link><guid isPermaLink="false">urn:hackerpapers:submission:2002.05645:24904956</guid><pubDate>Tue, 27 Oct 2020 06:43:51 GMT</pubDate><description>&lt;p&gt;Training Large Neural Networks with Limited GPU Memory&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;1 point; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2002.05645/"&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>Training Large Neural Networks with Constant Memory using a New Execution Algorithm — mentioned by ctoth</title><link>https://news.ycombinator.com/item?id=24246738</link><guid isPermaLink="false">urn:hackerpapers:mention:2002.05645:24246738</guid><pubDate>Sat, 22 Aug 2020 19:46:12 GMT</pubDate><description>&lt;p&gt;I keep wanting to write a long explanation of just why this is so... silly? to read? But Gwern has already done the hard work. [0] The only other bit I&amp;#x27;d like to mention is that GPT-3 uses exactly none of the new techniques that have been coming out in the last two years that would have significant impact on text generation. From working methods to apply GANs to text, to far more efficient transformer models that can handle longer sequences. For instance [1] [2] [3] for better direction, or [4] [5] [6] for efficiency. Or perhaps the outside view might help. After seeing GPT-2 last year, did…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2002.05645/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item></channel></rss>
