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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>ReLoRA: High-Rank Training Through Low-Rank Updates · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2307.05695/</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/2307.05695/feed.xml" rel="self" type="application/rss+xml" /><item><title>ReLoRA: High-Rank Training Through Low-Rank Updates — mentioned by mountainriver</title><link>https://news.ycombinator.com/item?id=45474074</link><guid isPermaLink="false">urn:hackerpapers:mention:2307.05695:45474074</guid><pubDate>Sat, 04 Oct 2025 15:36:09 GMT</pubDate><description>&lt;p&gt;Don’t forget ReLoRA! https://arxiv.org/abs/2307.05695&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2307.05695/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item><item><title>ReLoRA: High-Rank Training Through Low-Rank Updates — mentioned by cabidaher</title><link>https://news.ycombinator.com/item?id=40390640</link><guid isPermaLink="false">urn:hackerpapers:mention:2307.05695:40390640</guid><pubDate>Fri, 17 May 2024 14:56:54 GMT</pubDate><description>&lt;p&gt;This paper [1] does atempt that and reports similar performance compared to conventional pre-training. However, they do start off by doing a normal full-rank training and claim that it is needed to &amp;#x27;warm start&amp;#x27; the training process. [1] https://arxiv.org/abs/2307.05695&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2307.05695/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item><item><title>ReLoRA: High-Rank Training Through Low-Rank Updates — HN submission</title><link>https://news.ycombinator.com/item?id=38720557</link><guid isPermaLink="false">urn:hackerpapers:submission:2307.05695:38720557</guid><pubDate>Thu, 21 Dec 2023 14:09:38 GMT</pubDate><description>&lt;p&gt;ReLoRA: High-Rank Training Through Low-Rank Updates&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;3 points; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2307.05695/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item></channel></rss>
