{"id":248,"date":"2026-08-24T16:32:37","date_gmt":"2026-08-24T08:32:37","guid":{"rendered":"https:\/\/linxce.ink\/?p=248"},"modified":"2026-08-24T16:43:49","modified_gmt":"2026-08-24T08:43:49","slug":"248","status":"publish","type":"post","link":"https:\/\/linxce.ink\/index.php\/2026\/08\/24\/248\/","title":{"rendered":"MAML"},"content":{"rendered":"<p>\u4e00\u7bc7\u5f88\u8001\u7684\u8bba\u6587\uff0c<strong>Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks<\/strong>.(2017)<\/p>\n<p>\u4f46\u662f\u601d\u60f3\u975e\u5e38\u6709\u610f\u601d\uff0c\u5176\u5b66\u4e60\u7684\u4e0d\u662f\u4e00\u4e2a\u76f4\u63a5\u7528\u4e8e\u9884\u6d4b\u7684\u6a21\u578b\uff0c\u800c\u662f\u5b66\u4e60\u201c\u5982\u4f55\u66f4\u5feb\u66f4\u597d\u5730\u5b66\u4e60\u4e00\u4e2a\u6a21\u578b\u201d\u3002<\/p>\n<p>MAML\u5b66\u4e60\u4e00\u4e2a\u597d\u7684\u521d\u59cb\u5316\u6743\u91cd\uff0c\u4ece\u800c\u5728\u65b0\u4efb\u52a1\u4e0a\u5b9e\u73b0fast 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