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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>An Evolutionary Approach to Dynamic Introduction of Tasks in Large-scale Multitask Learning Systems · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2205.12755/</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/2205.12755/feed.xml" rel="self" type="application/rss+xml" /><item><title>An Evolutionary Approach to Dynamic Introduction of Tasks in Large-scale Multitask Learning Systems — mentioned by avinassh</title><link>https://news.ycombinator.com/item?id=31546418</link><guid isPermaLink="false">urn:hackerpapers:mention:2205.12755:31546418</guid><pubDate>Sun, 29 May 2022 04:34:06 GMT</pubDate><description>&lt;p&gt;Jeff Dean responded to OP: (The paper mentioned by OP is https://arxiv.org/abs/2205.12755, and I am one of the two authors, along with Andrea Gesmundo, who did the bulk of the work). The goal of the work was not to get a high quality cifar10 model. Rather, it was to explore a setting where one can dynamically introduce new tasks into a running system and successfully get a high quality model for the new task that reuses representations from the existing model and introduces new parameters somewhat sparingly, while avoiding many of the issues that often plague multi-task systems, such as…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2205.12755/"&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 Evolutionary Approach to Dynamic Introduction of Tasks in Large-scale Multitask Learning Systems — HN submission</title><link>https://news.ycombinator.com/item?id=31524107</link><guid isPermaLink="false">urn:hackerpapers:submission:2205.12755:31524107</guid><pubDate>Thu, 26 May 2022 22:34:30 GMT</pubDate><description>&lt;p&gt;Evolutionary Approach to Introduction of Tasks in Multitask Learning Systems&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;2 points; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2205.12755/"&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>
