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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Generating Long Sequences with Sparse Transformers · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1904.10509/</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/1904.10509/feed.xml" rel="self" type="application/rss+xml" /><item><title>Generating Long Sequences with Sparse Transformers — HN submission</title><link>https://news.ycombinator.com/item?id=39015825</link><guid isPermaLink="false">urn:hackerpapers:submission:1904.10509:39015825</guid><pubDate>Tue, 16 Jan 2024 17:15:58 GMT</pubDate><description>&lt;p&gt;Generating Long Sequences with Sparse Transformers&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;3 points; 1 discussion reply on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/1904.10509/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item><item><title>Generating Long Sequences with Sparse Transformers — mentioned by p1esk</title><link>https://news.ycombinator.com/item?id=22709382</link><guid isPermaLink="false">urn:hackerpapers:mention:1904.10509:22709382</guid><pubDate>Sat, 28 Mar 2020 05:13:54 GMT</pubDate><description>&lt;p&gt;Interesting you mentioned Makridakis competitions. There&amp;#x27;s one going on right now on Kaggle, and the current leader believes a NN will be the winning model: https://www.kaggle.com/c/m5-forecasting-accuracy/discussion/... More generally, it seems that time series forecasting so far has mostly attracted statisticians with little DL experience [1]. Now that there is $50k prize, this will be a good test of whether statistical methods are &amp;quot;still king&amp;quot;. If I were to enter this field, I&amp;#x27;d probably look into latest transformer based models, especially the ones used to model raw audio data, e.g. [2].…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1904.10509/"&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>
