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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>The Mythos of Model Interpretability · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1606.03490/</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/1606.03490/feed.xml" rel="self" type="application/rss+xml" /><item><title>The Mythos of Model Interpretability — mentioned by owenshen24</title><link>https://news.ycombinator.com/item?id=23064767</link><guid isPermaLink="false">urn:hackerpapers:mention:1606.03490:23064767</guid><pubDate>Mon, 04 May 2020 05:11:49 GMT</pubDate><description>&lt;p&gt;Zachary Lipton has a really good taxonomy of the different things people refer to when they talk about interpretability and explainability here: https://arxiv.org/pdf/1606.03490.pdf&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1606.03490/"&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>The Mythos of Model Interpretability — mentioned by mlthoughts2018</title><link>https://news.ycombinator.com/item?id=22098959</link><guid isPermaLink="false">urn:hackerpapers:mention:1606.03490:22098959</guid><pubDate>Mon, 20 Jan 2020 14:24:01 GMT</pubDate><description>&lt;p&gt;I work professionally in machine learning for over ten years now and I deeply dispute what you say, and many other practitioners do as well. &amp;gt; “not particularly clear how the features actually interact to reach the prediction.“ This is quite true of many models, such as linear regression in the wild. You may also have a clear but wrong picture of how features interact, eg looking at coefficients of interaction terms in a misspecified linear model. See for example, “The Mythos of Model Interpretability” - https://arxiv.org/abs/1606.03490 Without a coherent definition of what “not black box” or…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1606.03490/"&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>The Mythos of Model Interpretability — mentioned by 1_over_n</title><link>https://news.ycombinator.com/item?id=21958517</link><guid isPermaLink="false">urn:hackerpapers:mention:1606.03490:21958517</guid><pubDate>Sat, 04 Jan 2020 23:48:37 GMT</pubDate><description>&lt;p&gt;This is a great point. There is a general lack of understanding about what it means for models to be interpretable &amp;amp; explainable. These words get thrown around often by people who don&amp;#x27;t understand the definition, and also the trade off with accuracy. Some papers i found interesting on the subject: https://arxiv.org/abs/1606.03490 https://arxiv.org/abs/1707.03886 https://arxiv.org/abs/1806.07552 https://arxiv.org/abs/1702.08608 (i found this was a good sumary of the issues)&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1606.03490/"&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>The Mythos of Model Interpretability — mentioned by mlthoughts2018</title><link>https://news.ycombinator.com/item?id=21958410</link><guid isPermaLink="false">urn:hackerpapers:mention:1606.03490:21958410</guid><pubDate>Sat, 04 Jan 2020 23:29:29 GMT</pubDate><description>&lt;p&gt;“Explainability” is a subjective idea that allows people to act as gatekeepers about the use of a model through arbitrary politics. “The Mythos of Model Interpretability” is good reading on this. https://arxiv.org/pdf/1606.03490.pdf&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1606.03490/"&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>The Mythos of Model Interpretability — mentioned by DanWaterworth</title><link>https://news.ycombinator.com/item?id=17564510</link><guid isPermaLink="false">urn:hackerpapers:mention:1606.03490:17564510</guid><pubDate>Thu, 19 Jul 2018 07:43:12 GMT</pubDate><description>&lt;p&gt;You may prefer this link: https://arxiv.org/abs/1606.03490&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1606.03490/"&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>The Mythos of Model Interpretability — mentioned by ylem</title><link>https://news.ycombinator.com/item?id=13600966</link><guid isPermaLink="false">urn:hackerpapers:mention:1606.03490:13600966</guid><pubDate>Wed, 08 Feb 2017 18:58:26 GMT</pubDate><description>&lt;p&gt;The following article has an interesting treatment of interpretability: https://arxiv.org/pdf/1606.03490.pdf&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1606.03490/"&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>The Mythos of Model Interpretability — HN submission</title><link>https://news.ycombinator.com/item?id=12120695</link><guid isPermaLink="false">urn:hackerpapers:submission:1606.03490:12120695</guid><pubDate>Tue, 19 Jul 2016 09:09:53 GMT</pubDate><description>&lt;p&gt;The Mythos of Model Interpretability&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;56 points; 20 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/1606.03490/"&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>
