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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>An Empirical Investigation of Catastrophic Forgetting in Gradient-Based Neural Networks · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1312.6211/</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/1312.6211/feed.xml" rel="self" type="application/rss+xml" /><item><title>An Empirical Investigation of Catastrophic Forgetting in Gradient-Based Neural Networks — mentioned by Houshalter</title><link>https://news.ycombinator.com/item?id=9280395</link><guid isPermaLink="false">urn:hackerpapers:mention:1312.6211:9280395</guid><pubDate>Sat, 28 Mar 2015 03:30:44 GMT</pubDate><description>&lt;p&gt;http://arxiv.org/abs/1312.6211&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1312.6211/"&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>
