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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>An Algorithm for Routing Capsules in All Domains · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1911.00792/</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/1911.00792/feed.xml" rel="self" type="application/rss+xml" /><item><title>An Algorithm for Routing Capsules in All Domains — mentioned by cs702</title><link>https://news.ycombinator.com/item?id=23410632</link><guid isPermaLink="false">urn:hackerpapers:mention:1911.00792:23410632</guid><pubDate>Wed, 03 Jun 2020 23:59:07 GMT</pubDate><description>&lt;p&gt;Have you looked at capsule-routing algorithms that use expectation-maximization to generate layer outputs in deep neural networks? For example, in https://research.google/pubs/pub46653/ and https://arxiv.org/abs/1911.00792 each output capsule in a layer is generated by a Gaussian mixture model and also has an associated &amp;quot;activation value&amp;quot; that increases to the extent the GMM can explain (i.e., generate) its input data data &amp;quot;better&amp;quot; than the GMMs of other output capsules in the same layer. I wonder, do you think these routing algorithms, which are differentiable end-to-end, could be…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1911.00792/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item><item><title>An Algorithm for Routing Capsules in All Domains — mentioned by cs702</title><link>https://news.ycombinator.com/item?id=23062122</link><guid isPermaLink="false">urn:hackerpapers:mention:1911.00792:23062122</guid><pubDate>Sun, 03 May 2020 21:48:41 GMT</pubDate><description>&lt;p&gt;I&amp;#x27;m surprised there is no mention of capsules and capsule-routing algorithms. Capsules are groups of neurons that represent discrete entities in different contexts. For example, a 4x4 pose matrix is a capsule representing a particular object in different orientations seen from different viewpoints. Similarly, a subword embedding can be seen as a capsule with vector shape representing a particular subword in different natural language contexts. More generally, a capsule can have any shape, but it always represents only one entity in some context. In certain new capsule-routing algorithms…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1911.00792/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item><item><title>An Algorithm for Routing Capsules in All Domains — mentioned by cs702</title><link>https://news.ycombinator.com/item?id=21758341</link><guid isPermaLink="false">urn:hackerpapers:mention:1911.00792:21758341</guid><pubDate>Wed, 11 Dec 2019 00:32:41 GMT</pubDate><description>&lt;p&gt;I recently saw a paper (which I reposted here on HN a while back) that perhaps could help with your problem. The paper proposes an approach that sort of induces models to learn representations of objects that are good at predicting &amp;quot;the most agreed-upon&amp;quot; rotations of the inputs. I&amp;#x27;m not explaining it well. Anyway, a model in the paper achieved SOTA on a change-of-viewpoint dataset with a really tiny number of parameters. Might be worth a look: https://arxiv.org/abs/1911.00792&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1911.00792/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item><item><title>An Algorithm for Routing Capsules in All Domains — HN submission</title><link>https://news.ycombinator.com/item?id=21464379</link><guid isPermaLink="false">urn:hackerpapers:submission:1911.00792:21464379</guid><pubDate>Wed, 06 Nov 2019 16:55:50 GMT</pubDate><description>&lt;p&gt;Maximizing ‘bang per bit’ to achieve state of the art results&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;24 points; 1 discussion reply on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/1911.00792/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item></channel></rss>
