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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Ternary Neural Networks for Resource-Efficient AI Applications · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1609.00222/</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/1609.00222/feed.xml" rel="self" type="application/rss+xml" /><item><title>Ternary Neural Networks for Resource-Efficient AI Applications — mentioned by oxxoxoxooo</title><link>https://news.ycombinator.com/item?id=39542445</link><guid isPermaLink="false">urn:hackerpapers:mention:1609.00222:39542445</guid><pubDate>Wed, 28 Feb 2024 19:23:46 GMT</pubDate><description>&lt;p&gt;Prior art: Binarized Neural Networks: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1 https://arxiv.org/abs/1602.02830 Ternary Neural Networks for Resource-Efficient AI Applications https://arxiv.org/abs/1609.00222&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1609.00222/"&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>
