<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Neural Networks | Trustworthy AI Systems Lab (TAS Lab)</title><link>https://tas-lab.org/tag/neural-networks/</link><atom:link href="https://tas-lab.org/tag/neural-networks/index.xml" rel="self" type="application/rss+xml"/><description>Neural Networks</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Fri, 01 Jan 2021 00:00:00 +0000</lastBuildDate><image><url>https://tas-lab.org/media/icon_hu_9cf092d4d003c2c7.png</url><title>Neural Networks</title><link>https://tas-lab.org/tag/neural-networks/</link></image><item><title>Class-Specific Affinity based Weakly Supervised Semantic Segmentation with Neutral Region Exploration</title><link>https://tas-lab.org/publication/2021-class-specific-affinity-semantic-segmentation/</link><pubDate>Fri, 01 Jan 2021 00:00:00 +0000</pubDate><guid>https://tas-lab.org/publication/2021-class-specific-affinity-semantic-segmentation/</guid><description/></item><item><title>Experimental study on stacked autoencoder on insufficient training samples</title><link>https://tas-lab.org/publication/2017-experimental-study-on-stacked-autoencoder-on-insufficient-training-samples/</link><pubDate>Sun, 01 Jan 2017 00:00:00 +0000</pubDate><guid>https://tas-lab.org/publication/2017-experimental-study-on-stacked-autoencoder-on-insufficient-training-samples/</guid><description/></item></channel></rss>