<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Multi Task Learning on 中文AI术语词典</title><link>https://terms-en.ai-term-hub.com/zh/tags/multi-task-learning/</link><description>Recent content in Multi Task Learning on 中文AI术语词典</description><generator>Hugo</generator><language>zh-cn</language><lastBuildDate>Sat, 18 Jul 2026 11:44:45 +0000</lastBuildDate><atom:link href="https://terms-en.ai-term-hub.com/zh/tags/multi-task-learning/index.xml" rel="self" type="application/rss+xml"/><item><title>多任务优化</title><link>https://terms-en.ai-term-hub.com/zh/terms/multitask_optimization/</link><pubDate>Sat, 18 Jul 2026 11:27:47 +0000</pubDate><guid>https://terms-en.ai-term-hub.com/zh/terms/multitask_optimization/</guid><description>&lt;h2 id="definition">Definition&lt;/h2>
&lt;p>多任务优化涉及训练单个模型同时处理几个不同但相关的任务。通过在任务间共享中间表示，模型可以学习到更通用的特征，从而提高泛化能力和效率。&lt;/p>
&lt;h3 id="summary">Summary&lt;/h3>
&lt;p>一种训练策略，使模型能够同时优化执行多个相关任务。&lt;/p>
&lt;h2 id="key-concepts">Key Concepts&lt;/h2>
&lt;ul>
&lt;li>共享表示&lt;/li>
&lt;li>任务特定头部&lt;/li>
&lt;li>梯度平衡&lt;/li>
&lt;li>迁移学习&lt;/li>
&lt;/ul>
&lt;h2 id="use-cases">Use Cases&lt;/h2>
&lt;ul>
&lt;li>联合目标检测与分割&lt;/li>
&lt;li>多标签分类&lt;/li>
&lt;li>语音识别与语言建模&lt;/li>
&lt;/ul>
&lt;h2 id="related-terms">Related Terms&lt;/h2>
&lt;ul>
&lt;li>&lt;a href="https://terms-en.ai-term-hub.com/en/terms/transfer_learning-%E8%BF%81%E7%A7%BB%E5%AD%A6%E4%B9%A0/">transfer_learning (迁移学习)&lt;/a>&lt;/li>
&lt;li>&lt;a href="https://terms-en.ai-term-hub.com/en/terms/multi_label_classification-%E5%A4%9A%E6%A0%87%E7%AD%BE%E5%88%86%E7%B1%BB/">multi_label_classification (多标签分类)&lt;/a>&lt;/li>
&lt;li>&lt;a href="https://terms-en.ai-term-hub.com/en/terms/shared_layers-%E5%85%B1%E4%BA%AB%E5%B1%82/">shared_layers (共享层)&lt;/a>&lt;/li>
&lt;li>&lt;a href="https://terms-en.ai-term-hub.com/en/terms/gradient_accumulation-%E6%A2%AF%E5%BA%A6%E7%B4%AF%E7%A7%AF/">gradient_accumulation (梯度累积)&lt;/a>&lt;/li>
&lt;/ul></description></item></channel></rss>