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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Learning the Bitter Lesson: Empirical Evidence from 20 Years of CVPR Proceedings · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2410.09649/</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/2410.09649/feed.xml" rel="self" type="application/rss+xml" /><item><title>Learning the Bitter Lesson: Empirical Evidence from 20 Years of CVPR Proceedings — mentioned by sitkack</title><link>https://news.ycombinator.com/item?id=42887220</link><guid isPermaLink="false">urn:hackerpapers:mention:2410.09649:42887220</guid><pubDate>Fri, 31 Jan 2025 13:00:16 GMT</pubDate><description>&lt;p&gt;http://www.incompleteideas.net/IncIdeas/BitterLesson.html &amp;gt; Our methodology leverages state-of-the-art natural language processing techniques to systematically evaluate the evolution of research approaches in computer vision. The results reveal significant trends in the adoption of general-purpose learning algorithms and the utilization of increased computational resources. We discuss the implications of these findings for the future direction of computer vision research and its potential impact on broader artificial intelligence development. https://arxiv.org/abs/2410.09649v1&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2410.09649/"&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>
