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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>DataRater: Meta-Learned Dataset Curation · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2505.17895/</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/2505.17895/feed.xml" rel="self" type="application/rss+xml" /><item><title>DataRater: Meta-Learned Dataset Curation — mentioned by rishran</title><link>https://news.ycombinator.com/item?id=45316798</link><guid isPermaLink="false">urn:hackerpapers:mention:2505.17895:45316798</guid><pubDate>Sat, 20 Sep 2025 19:56:13 GMT</pubDate><description>&lt;p&gt;This result is representative of the idea where the DataRater learned how to down-weight corrupted images: https://github.com/rishabhranawat/DataRater/blob/main/mnist_... The inspiration was Figure 3 in the paper. Paper link: https://arxiv.org/abs/2505.17895 Authors: Calian et. al., Google Deepmind&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2505.17895/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>stat.ML</category></item></channel></rss>
