<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>GANs on English AI Terms Dictionary</title><link>https://terms-en.ai-term-hub.com/en/tags/gans/</link><description>Recent content in GANs on English AI Terms Dictionary</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Sat, 18 Jul 2026 11:44:44 +0000</lastBuildDate><atom:link href="https://terms-en.ai-term-hub.com/en/tags/gans/index.xml" rel="self" type="application/rss+xml"/><item><title>Mode Collapse</title><link>https://terms-en.ai-term-hub.com/en/terms/mode_collapse/</link><pubDate>Sat, 18 Jul 2026 10:07:39 +0000</pubDate><guid>https://terms-en.ai-term-hub.com/en/terms/mode_collapse/</guid><description>&lt;h2 id="definition">Definition&lt;/h2>
&lt;p>In GANs, mode collapse occurs when the generator learns to exploit weaknesses in the discriminator by producing a narrow range of plausible samples, ignoring other modes of the data distribution. This results in a lack of diversity in generated content, such as generating only one specific digit in MNIST despite training on all digits, severely limiting the utility of the generative model.&lt;/p>
&lt;h3 id="summary">Summary&lt;/h3>
&lt;p>Mode collapse is a failure mode in Generative Adversarial Networks where the generator produces limited varieties of outputs.&lt;/p></description></item></channel></rss>