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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Progressive Neural Architecture Search · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1712.00559/</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/1712.00559/feed.xml" rel="self" type="application/rss+xml" /><item><title>Progressive Neural Architecture Search — HN submission</title><link>https://news.ycombinator.com/item?id=17682058</link><guid isPermaLink="false">urn:hackerpapers:submission:1712.00559:17682058</guid><pubDate>Fri, 03 Aug 2018 18:05:45 GMT</pubDate><description>&lt;p&gt;Progressive Neural Architecture Search&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;45 points; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/1712.00559/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.CV</category></item><item><title>Progressive Neural Architecture Search — mentioned by TheIronYuppie</title><link>https://news.ycombinator.com/item?id=16169812</link><guid isPermaLink="false">urn:hackerpapers:mention:1712.00559:16169812</guid><pubDate>Wed, 17 Jan 2018 17:28:53 GMT</pubDate><description>&lt;p&gt;Disclosure: I work at Google at Kubeflow There are a few different reasons: 1) Most companies have very limited skill in building advanced models. While many folks are trying to achieve 5% or better accuracy, MOST folks are trying to achieve ANY accuracy (since they have nothing) 2) Many problems are not very complicated and do not require a custom model. From the blog post, the &amp;quot;cloud&amp;quot; example only requires a small amount of changes to classify for a specific domain - to have to build an entirely new model for that, or train on MM of images seems like overkill 3) AutoML (often) is better…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1712.00559/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CV</category></item><item><title>Progressive Neural Architecture Search — mentioned by TheIronYuppie</title><link>https://news.ycombinator.com/item?id=16169772</link><guid isPermaLink="false">urn:hackerpapers:mention:1712.00559:16169772</guid><pubDate>Wed, 17 Jan 2018 17:25:14 GMT</pubDate><description>&lt;p&gt;Disclosure: I work at Google on Kubeflow Correct, it&amp;#x27;s a cloud service, based on the research Google published for model exploration[1][2]. There are research examples today where this service provided better models than humans were able to achieve by hand or with genetic algorithms (models trained faster and/or with better error rates)[3] [1] https://static.googleusercontent.com/media/research.google.c... [2] https://blog.acolyer.org/2017/10/02/google-vizier-a-service-... [3] https://arxiv.org/abs/1712.00559&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1712.00559/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CV</category></item></channel></rss>
