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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Learning Simple Algorithms from Examples · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1511.07275/</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/1511.07275/feed.xml" rel="self" type="application/rss+xml" /><item><title>Learning Simple Algorithms from Examples — mentioned by sapphireblue</title><link>https://news.ycombinator.com/item?id=12197681</link><guid isPermaLink="false">urn:hackerpapers:mention:1511.07275:12197681</guid><pubDate>Sun, 31 Jul 2016 16:55:11 GMT</pubDate><description>&lt;p&gt;The author proposes a lot of vague ideas in this article (for example &amp;quot;I believe one of the biggest problems is the use of Error Propagation and Gradient Descent&amp;quot;) without references or any solid proofs why they are necessary to solve the proposed program (Automate programming using ML?). In fact there is already a lot of solid work just on this subject: * Learning algorithms from examples http://arxiv.org/abs/1511.07275 https://arxiv.org/abs/1410.5401 * Generating source code from natural language description http://arxiv.org/abs/1510.07211 * And, the most closest work to what author…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1511.07275/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.AI</category></item><item><title>Learning Simple Algorithms from Examples — HN submission</title><link>https://news.ycombinator.com/item?id=10716926</link><guid isPermaLink="false">urn:hackerpapers:submission:1511.07275:10716926</guid><pubDate>Fri, 11 Dec 2015 13:29:45 GMT</pubDate><description>&lt;p&gt;Deep Neural Network that learns algorithms&lt;/p&gt;&lt;p&gt;youtube: https://www.youtube.com/watch?v=GVe6kfJnRAw paper: http://arxiv.org/abs/1511.07275 code: https://github.com/wojzaremba/algorithm-learning&lt;/p&gt;&lt;p&gt;7 points; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/1511.07275/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.AI</category></item><item><title>Learning Simple Algorithms from Examples — HN submission</title><link>https://news.ycombinator.com/item?id=10705078</link><guid isPermaLink="false">urn:hackerpapers:submission:1511.07275:10705078</guid><pubDate>Wed, 09 Dec 2015 17:22:21 GMT</pubDate><description>&lt;p&gt;Learning Simple Algorithms from Examples&lt;/p&gt;&lt;p&gt;youtube: https://www.youtube.com/watch?v=GVe6kfJnRAw paper: http://arxiv.org/abs/1511.07275 code: https://github.com/wojzaremba/algorithm-learning&lt;/p&gt;&lt;p&gt;16 points; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/1511.07275/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.AI</category></item></channel></rss>
