https://terms-en.ai-term-hub.com/zh/tags/ml-theory/Recent content in ML Theory on 中文AI术语词典Hugozh-cnSat, 18 Jul 2026 11:44:45 +0000https://terms-en.ai-term-hub.com/zh/terms/few_shot_learning/Sat, 18 Jul 2026 11:00:03 +0000https://terms-en.ai-term-hub.com/zh/terms/few_shot_learning/<h2 id="definition">Definition</h2> <p>少样本学习旨在使模型能够从寥寥几个示例中进行泛化，模仿人类的学习效率。它通常依赖于元学习策略，即模型先在一系列相关任务上进行预训练，从而获得快速适应新任务的能力，即使这些新任务只有少量标注数据可用。</p> <h3 id="summary">Summary</h3> <p>少样本学习是一种机器学习范式，模型仅从非常有限的标记训练数据中学习新概念。</p> <h2 id="key-concepts">Key Concepts</h2> <ul> <li>元学习</li> <li>数据效率</li> <li>泛化能力</li> <li>任务适配</li> </ul> <h2 id="use-cases">Use Cases</h2> <ul> <li>罕见疾病识别</li> <li>新产品分类</li> <li>自定义物体检测</li> </ul> <h2 id="related-terms">Related Terms</h2> <ul> <li><a href="https://terms-en.ai-term-hub.com/en/terms/meta_learning-%E5%85%83%E5%AD%A6%E4%B9%A0/">meta_learning (元学习)</a></li> <li><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)</a></li> <li><a href="https://terms-en.ai-term-hub.com/en/terms/data_efficiency-%E6%95%B0%E6%8D%AE%E6%95%88%E7%8E%87/">data_efficiency (数据效率)</a></li> <li><a href="https://terms-en.ai-term-hub.com/en/terms/supervised_learning-%E7%9B%91%E7%9D%A3%E5%AD%A6%E4%B9%A0/">supervised_learning (监督学习)</a></li> </ul>