<story><title>Predicting Best Picture winners using coughs and sneezes</title><url>https://journal-doi.org/10.731/pcbi.1007742/</url></story><parent_chain></parent_chain><comment><author>jerf</author><text>When I took my AI class, my professor would assign one paper a week and we had to turn in a &amp;quot;critique&amp;quot; of that paper. These papers were, of course, the seminal classics in the field, because what else would you want your intro class to be reading? I complained a bit to the professor that it was a bit silly to critique the &lt;i&gt;seminal papers in the field&lt;/i&gt; and if you want to be sure we read it, we could just turn in a summary (which our critiques typically started with anyhow), but we were supposed to learn how to critique papers.&lt;p&gt;In hindsight, I suppose I should have appealed to the fact that critiquing the &lt;i&gt;seminal papers in the field&lt;/i&gt; is a serious data set bias and that trying to &amp;quot;learn to critique&amp;quot; on the &lt;i&gt;best papers ever written&lt;/i&gt; in a field was less likely to produce a useful &amp;quot;critiquing&amp;quot; skill and more likely to produce some overfitted garbage skill, but, hey, I hadn&amp;#x27;t taken AI yet! I didn&amp;#x27;t know how to express that.&lt;p&gt;(It did produce a garbage skill, too. I tried writing &amp;quot;real&amp;quot; critiques using my brain, but after getting Cs and Ds for the first couple, I learned my lesson, and mechanically spit out &amp;quot;Needs more data&amp;quot;, &amp;quot;should have studied more&amp;quot;, and as appropriate, &amp;quot;sample sizes were too small&amp;quot;. Except for that last one, regardless of the study. Bam. A series of easy As. Sigh. I liked college over all, but there were some places I could certainly quibble.)&lt;p&gt;Anyhow, &lt;i&gt;this&lt;/i&gt; is the paper that needs to be assigned towards the end of the semester, and students asked to &amp;quot;critique&amp;quot; it. It&amp;#x27;s a much better member of the training data set for this sort of skill.</text></comment>
<story><title>Predicting Best Picture winners using coughs and sneezes</title><url>https://journal-doi.org/10.731/pcbi.1007742/</url></story><parent_chain></parent_chain><comment><author>snorkel</author><text>Love it! The sordid truths of data science laid bare! &amp;quot;We prefer subtitles over machine-learning-based detection because the presence of a cough in subtitles means it was prominent enough for a person to write it down. Also our postdoctoral fellow was the only one who completed the Tensorflow tutorial.&amp;quot;</text></comment>