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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>The Neural Representation Benchmark and its Evaluation on Brain and Machine · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1301.3530/</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/1301.3530/feed.xml" rel="self" type="application/rss+xml" /><item><title>The Neural Representation Benchmark and its Evaluation on Brain and Machine — mentioned by chriskanan</title><link>https://news.ycombinator.com/item?id=8034717</link><guid isPermaLink="false">urn:hackerpapers:mention:1301.3530:8034717</guid><pubDate>Tue, 15 Jul 2014 04:06:11 GMT</pubDate><description>&lt;p&gt;Sure, I agree with you that there is more to vision than ImageNet (and many-category object recognition), and that&amp;#x27;s why I indicated I&amp;#x27;m looking for other computer vision problems to work on that I think I can solve. Incidentally, these deep convolutional neural networks do handle rotation very well (see Table 1, Krizhevsky et al): http://arxiv.org/pdf/1301.3530.pdf&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1301.3530/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.NE</category></item></channel></rss>
