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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>A Review of Open-World Learning and Steps Toward Open-World Learning Without Labels · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2011.12906/</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/2011.12906/feed.xml" rel="self" type="application/rss+xml" /><item><title>A Review of Open-World Learning and Steps Toward Open-World Learning Without Labels — mentioned by gessha</title><link>https://news.ycombinator.com/item?id=39500967</link><guid isPermaLink="false">urn:hackerpapers:mention:2011.12906:39500967</guid><pubDate>Sun, 25 Feb 2024 14:11:42 GMT</pubDate><description>&lt;p&gt;Yes, you can find some of the work on this topic under the terms open world recognition or open world X where X is a topic in computer vision or NLP. https://arxiv.org/abs/2011.12906&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2011.12906/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CV</category></item></channel></rss>
