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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Neural Network Surgery with Sets · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1912.06719/</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/1912.06719/feed.xml" rel="self" type="application/rss+xml" /><item><title>Neural Network Surgery with Sets — mentioned by fxtentacle</title><link>https://news.ycombinator.com/item?id=41837828</link><guid isPermaLink="false">urn:hackerpapers:mention:1912.06719:41837828</guid><pubDate>Mon, 14 Oct 2024 14:24:38 GMT</pubDate><description>&lt;p&gt;To me, it seemed that the technique presented here was just a logical continuation of methods that OpenAI used when they trained the Dota agents: https://arxiv.org/pdf/1912.06719v1 And, arguably, Facebook&amp;#x27;s unsupervised pre-training for their multi-modal speech-to-text models is kind of the same idea as unsupervised pre-training for a multi-modal text-to-image diffuser. https://ai.meta.com/research/publications/wav2vec-2.0-a-fram...&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1912.06719/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item></channel></rss>
