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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2001.07685/</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/2001.07685/feed.xml" rel="self" type="application/rss+xml" /><item><title>FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence — mentioned by amitness</title><link>https://news.ycombinator.com/item?id=22770770</link><guid isPermaLink="false">urn:hackerpapers:mention:2001.07685:22770770</guid><pubDate>Fri, 03 Apr 2020 16:15:23 GMT</pubDate><description>&lt;p&gt;Hi, Wanted to clarify that this is the summary article of the paper. I wrote it to help out people who might not have the math rigor and research background to understand research papers but would benefit from an intuitive explanation. The actual paper is available here: https://arxiv.org/abs/2001.07685&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2001.07685/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item><item><title>FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence — mentioned by colincooke</title><link>https://news.ycombinator.com/item?id=22770669</link><guid isPermaLink="false">urn:hackerpapers:mention:2001.07685:22770669</guid><pubDate>Fri, 03 Apr 2020 16:05:58 GMT</pubDate><description>&lt;p&gt;This is a blog not a paper, it seems you wouldn&amp;#x27;t like the source material: https://arxiv.org/pdf/2001.07685.pdf But you are correct! This way of showing off your work is much nicer than what ends up in the paper. The blog representation is a good opportunity to show off the results of the paper on a higher level. However, the &amp;quot;mathy&amp;quot; paper is still important so other experts in the field can understand the details of the technique&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2001.07685/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item><item><title>FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence — HN submission</title><link>https://news.ycombinator.com/item?id=22123752</link><guid isPermaLink="false">urn:hackerpapers:submission:2001.07685:22123752</guid><pubDate>Thu, 23 Jan 2020 00:50:49 GMT</pubDate><description>&lt;p&gt;FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;2 points; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2001.07685/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item></channel></rss>
