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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Network In Network · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1312.4400/</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/1312.4400/feed.xml" rel="self" type="application/rss+xml" /><item><title>Network In Network — mentioned by svantana</title><link>https://news.ycombinator.com/item?id=19481284</link><guid isPermaLink="false">urn:hackerpapers:mention:1312.4400:19481284</guid><pubDate>Mon, 25 Mar 2019 09:59:22 GMT</pubDate><description>&lt;p&gt;Indeed, the Network-in-Network architecture [1] was a compelling idea to get complex activations, until it was realised that it&amp;#x27;s just a standard neural network which is not fully connected. Since neural networks are universal approximators, it&amp;#x27;s a bit silly to talk about something else being more powerful, it&amp;#x27;s all about the prior, bias, and training, which are all subject to the No Free Lunch theorem. [1] https://arxiv.org/abs/1312.4400&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1312.4400/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.NE</category></item><item><title>Network In Network — mentioned by buildbot</title><link>https://news.ycombinator.com/item?id=19479704</link><guid isPermaLink="false">urn:hackerpapers:mention:1312.4400:19479704</guid><pubDate>Mon, 25 Mar 2019 01:23:31 GMT</pubDate><description>&lt;p&gt;There&amp;#x27;s network in networks: https://arxiv.org/abs/1312.4400 And network ensembles in general: https://en.wikipedia.org/wiki/Ensemble_learning&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1312.4400/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.NE</category></item></channel></rss>
