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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Explain Images with Multimodal Recurrent Neural Networks · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1410.1090/</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/1410.1090/feed.xml" rel="self" type="application/rss+xml" /><item><title>Explain Images with Multimodal Recurrent Neural Networks — mentioned by nl</title><link>https://news.ycombinator.com/item?id=8987645</link><guid isPermaLink="false">urn:hackerpapers:mention:1410.1090:8987645</guid><pubDate>Mon, 02 Feb 2015 22:53:17 GMT</pubDate><description>&lt;p&gt;There&amp;#x27;s a difference between the kind of things you are referring to as &amp;quot;projects&amp;quot; and the kind of things Ng is referring to as &amp;quot;tech&amp;quot;. A &amp;quot;project&amp;quot; is usually an application of existing technology done in an innovative way. It may well end up being the next Facebook, but it isn&amp;#x27;t something that usually requires breakthroughs in scientific fields. Ng&amp;#x27;s (and Baidu&amp;#x27;s) &amp;quot;tech&amp;quot; is a much more basic level of research. Baidu isn&amp;#x27;t interested in funding research into translating English into Latin because - while it is novel - it is unlikely to impact 100 million users. OTOH: Chinese/English…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1410.1090/"&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>Explain Images with Multimodal Recurrent Neural Networks — mentioned by tfgg</title><link>https://news.ycombinator.com/item?id=8624123</link><guid isPermaLink="false">urn:hackerpapers:mention:1410.1090:8624123</guid><pubDate>Tue, 18 Nov 2014 15:11:24 GMT</pubDate><description>&lt;p&gt;ArXiv abstract links, which are preferable to direct links to the PDF: http://arxiv.org/abs/1411.2539 http://arxiv.org/abs/1410.1090 http://arxiv.org/abs/1411.4389&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1410.1090/"&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>Explain Images with Multimodal Recurrent Neural Networks — mentioned by karpathy</title><link>https://news.ycombinator.com/item?id=8621917</link><guid isPermaLink="false">urn:hackerpapers:mention:1410.1090:8621917</guid><pubDate>Tue, 18 Nov 2014 01:24:44 GMT</pubDate><description>&lt;p&gt;Hi all, I&amp;#x27;m the author on the Stanford article, so I can answer any more detailed/technical questions. The article doesn&amp;#x27;t mention this, but closely related work I&amp;#x27;ve only very recently become aware of (if anyone is interested) are additionally: From UofT: http://arxiv.org/pdf/1411.2539v1.pdf From Baidu/UCLA: http://arxiv.org/pdf/1410.1090v1.pdf From Google: http://googleresearch.blogspot.com/2014/11/a-picture-is-wort... From Stanford (our work): http://cs.stanford.edu/people/karpathy/deepimagesent/ Edit: And seemingly also from Berkeley http://arxiv.org/pdf/1411.4389v1.pdf At least from my…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1410.1090/"&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>
