<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Learning to Reason with Third-Order Tensor Products · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1811.12143/</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/1811.12143/feed.xml" rel="self" type="application/rss+xml" /><item><title>Learning to Reason with Third-Order Tensor Products — mentioned by andreyk</title><link>https://news.ycombinator.com/item?id=18761950</link><guid isPermaLink="false">urn:hackerpapers:mention:1811.12143:18761950</guid><pubDate>Wed, 26 Dec 2018 13:07:17 GMT</pubDate><description>&lt;p&gt;While it&amp;#x27;s true that the basics of Deep Learning (eg ImageNet) are not that conceptually interesting, it is also worth noting people are working on tons of interesting directions within this framework combined with other ideas from AI (see eg &amp;#x27;Learning to Reason with Third-Order Tensor Products&amp;#x27; - https://arxiv.org/abs/1811.12143 | &amp;#x27;Beyond imitation: Zero-shot task transfer on robots by learning concepts as cognitive programs&amp;#x27; - https://arxiv.org/abs/1812.02788)&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1811.12143/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item></channel></rss>
