<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Contrastive Learning on 中文AI术语词典</title><link>https://terms-en.ai-term-hub.com/zh/tags/contrastive-learning/</link><description>Recent content in Contrastive 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/contrastive-learning/index.xml" rel="self" type="application/rss+xml"/><item><title>局部病例对照采样</title><link>https://terms-en.ai-term-hub.com/zh/terms/local_case_control_sampling/</link><pubDate>Sat, 18 Jul 2026 11:24:46 +0000</pubDate><guid>https://terms-en.ai-term-hub.com/zh/terms/local_case_control_sampling/</guid><description>&lt;h2 id="definition">Definition&lt;/h2>
&lt;p>局部病例对照采样是一种主要用于训练对比学习模型或推荐系统的策略。它不是随机选择负样本，而是识别出与正例在嵌入空间中距离较近、难以区分的“困难负例”，从而提升模型的判别能力。&lt;/p>
&lt;h3 id="summary">Summary&lt;/h3>
&lt;p>一种负采样技术，从嵌入空间中正例的邻近区域选择困难负例。&lt;/p>
&lt;h2 id="key-concepts">Key Concepts&lt;/h2>
&lt;ul>
&lt;li>困难负例&lt;/li>
&lt;li>对比学习&lt;/li>
&lt;li>嵌入空间&lt;/li>
&lt;li>负采样&lt;/li>
&lt;/ul>
&lt;h2 id="use-cases">Use Cases&lt;/h2>
&lt;ul>
&lt;li>训练图像检索系统&lt;/li>
&lt;li>提高推荐引擎的准确性&lt;/li>
&lt;li>针对特定任务微调大型语言模型&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/triplet-loss-%E4%B8%89%E5%85%83%E7%BB%84%E6%8D%9F%E5%A4%B1/">Triplet Loss (三元组损失)&lt;/a>&lt;/li>
&lt;li>&lt;a href="https://terms-en.ai-term-hub.com/en/terms/infonce-%E4%BF%A1%E6%81%AF%E5%99%AA%E5%A3%B0%E5%AF%B9%E6%AF%94%E4%BC%B0%E8%AE%A1%E6%8D%9F%E5%A4%B1/">InfoNCE (信息噪声对比估计损失)&lt;/a>&lt;/li>
&lt;li>&lt;a href="https://terms-en.ai-term-hub.com/en/terms/hard-negative-mining-%E5%9B%B0%E9%9A%BE%E8%B4%9F%E4%BE%8B%E6%8C%96%E6%8E%98/">Hard Negative Mining (困难负例挖掘)&lt;/a>&lt;/li>
&lt;li>&lt;a href="https://terms-en.ai-term-hub.com/en/terms/contrastive-divergence-%E5%AF%B9%E6%AF%94%E6%95%A3%E5%BA%A6/">Contrastive Divergence (对比散度)&lt;/a>&lt;/li>
&lt;/ul></description></item></channel></rss>