<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Dropout on The Standard Error</title><link>https://jongha-jeon-dev.github.io/standarderror/tags/dropout/</link><description>Recent content in Dropout on The Standard Error</description><generator>Hugo -- 0.123.7</generator><language>en-gb</language><lastBuildDate>Tue, 13 Oct 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://jongha-jeon-dev.github.io/standarderror/tags/dropout/index.xml" rel="self" type="application/rss+xml"/><item><title>ML 25: Weight Scaling Keeps Dropout's Answers, Not Its Doubts</title><link>https://jongha-jeon-dev.github.io/standarderror/lectures/ml-25-dropout/</link><pubDate>Tue, 13 Oct 2026 00:00:00 +0000</pubDate><guid>https://jongha-jeon-dev.github.io/standarderror/lectures/ml-25-dropout/</guid><description>Switching dropout off and scaling the weights gives almost the same labels as averaging many dropout masks. It does not give the same probabilities.</description></item></channel></rss>