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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>MusicBERT: Symbolic Music Understanding with Large-Scale Pre-Training · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2106.05630/</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/2106.05630/feed.xml" rel="self" type="application/rss+xml" /><item><title>MusicBERT: Symbolic Music Understanding with Large-Scale Pre-Training — mentioned by radq</title><link>https://news.ycombinator.com/item?id=36054406</link><guid isPermaLink="false">urn:hackerpapers:mention:2106.05630:36054406</guid><pubDate>Wed, 24 May 2023 05:26:52 GMT</pubDate><description>&lt;p&gt;This reminds me of the Octuple MIDI tokenization scheme introduced in the MusicBERT paper (https://arxiv.org/pdf/2106.05630.pdf). Would be interesting to see how much of a performance difference results from using a smaller decoder model (in Megabyte) instead of just doing a softmax (a la Octuple).&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2106.05630/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.SD</category></item></channel></rss>
