<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>The Variational Homoencoder: Learning to learn high capacity generative models from few examples · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1807.08919/</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/1807.08919/feed.xml" rel="self" type="application/rss+xml" /><item><title>The Variational Homoencoder: Learning to learn high capacity generative models from few examples — mentioned by no_identd</title><link>https://news.ycombinator.com/item?id=19032182</link><guid isPermaLink="false">urn:hackerpapers:mention:1807.08919:19032182</guid><pubDate>Wed, 30 Jan 2019 02:47:51 GMT</pubDate><description>&lt;p&gt;What about variational homoencoders tho? See https://arxiv.org/abs/1807.08919&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1807.08919/"&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>
