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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>A Closer Look at Memorization in Deep Networks · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1706.05394/</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/1706.05394/feed.xml" rel="self" type="application/rss+xml" /><item><title>A Closer Look at Memorization in Deep Networks — mentioned by fabianhjr</title><link>https://news.ycombinator.com/item?id=16451639</link><guid isPermaLink="false">urn:hackerpapers:mention:1706.05394:16451639</guid><pubDate>Sat, 24 Feb 2018 04:21:16 GMT</pubDate><description>&lt;p&gt;&amp;gt; Ontology of programs The presuppositions of programs or to program Example: https://arxiv.org/pdf/math/0602053v3.pdf &amp;gt; The epistemological status of computer science Do Neural Nets learn or memorize? What&amp;#x27;s the difference and how do we know what Neural Nets do? Example: https://arxiv.org/pdf/1706.05394.pdf&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1706.05394/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>stat.ML</category></item><item><title>A Closer Look at Memorization in Deep Networks — HN submission</title><link>https://news.ycombinator.com/item?id=14601925</link><guid isPermaLink="false">urn:hackerpapers:submission:1706.05394:14601925</guid><pubDate>Wed, 21 Jun 2017 08:25:07 GMT</pubDate><description>&lt;p&gt;A Closer Look at Memorization in Deep Networks&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/1706.05394/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>stat.ML</category></item></channel></rss>
