<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Knowledge Distillation | Chunzheng Zhu</title><link>https://zhcz328.github.io/tag/knowledge-distillation/</link><atom:link href="https://zhcz328.github.io/tag/knowledge-distillation/index.xml" rel="self" type="application/rss+xml"/><description>Knowledge Distillation</description><generator>Wowchemy (https://wowchemy.com)</generator><language>en-us</language><lastBuildDate>Tue, 03 Dec 2024 00:00:00 +0000</lastBuildDate><image><url>https://zhcz328.github.io/media/icon_huc9fe9d140a9bb016fbeeaa3ba1111928_724048_512x512_fill_lanczos_center_3.png</url><title>Knowledge Distillation</title><link>https://zhcz328.github.io/tag/knowledge-distillation/</link></image><item><title>Advancing Ultrasound Medical Continuous Learning with Task-Specific Generalization and Adaptability</title><link>https://zhcz328.github.io/publication/ultrasound-continual-learning/</link><pubDate>Tue, 03 Dec 2024 00:00:00 +0000</pubDate><guid>https://zhcz328.github.io/publication/ultrasound-continual-learning/</guid><description>&lt;p>This work addresses catastrophic forgetting in ultrasound medical image analysis with masked ultrasound image modeling and contrastive historical-current learning.&lt;/p></description></item></channel></rss>