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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Debugging Machine Learning Tasks · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1603.07292/</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/1603.07292/feed.xml" rel="self" type="application/rss+xml" /><item><title>Debugging Machine Learning Tasks — mentioned by Mathnerd314</title><link>https://news.ycombinator.com/item?id=21116834</link><guid isPermaLink="false">urn:hackerpapers:mention:1603.07292:21116834</guid><pubDate>Mon, 30 Sep 2019 16:04:40 GMT</pubDate><description>&lt;p&gt;There are deep models like BERT that do pre-training and then need minimal training to do multiple tasks such as question answering, entailment, sentiment analysis, etc. I don&amp;#x27;t know about &amp;quot;explaining&amp;quot; an answer but there are debuggers that find errors in data sets: https://arxiv.org/pdf/1603.07292.pdf. But as I said, I don&amp;#x27;t see why an artist would suddenly get up to speed as a construction worker. He seems to overestimate the capacity of interns as well.&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1603.07292/"&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>
