{"id":65996,"date":"2026-01-26T02:16:47","date_gmt":"2026-01-25T18:16:47","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/65996.html"},"modified":"2026-01-26T02:16:47","modified_gmt":"2026-01-25T18:16:47","slug":"%e8%92%b8%e9%a6%8f%e8%bd%af%e6%a0%87%e7%ad%be%e5%8a%a8%e6%80%81%e4%bc%98%e5%8c%96","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/65996.html","title":{"rendered":"\u84b8\u998f\u8f6f\u6807\u7b7e\u52a8\u6001\u4f18\u5316"},"content":{"rendered":"<h5>&#x1f493; \u535a\u5ba2\u4e3b\u9875&#xff1a;\u501f\u53e3\u7684CSDN\u4e3b\u9875<\/h5>\n<h5>\u23e9 \u6587\u7ae0\u4e13\u680f&#xff1a;\u300a\u70ed\u70b9\u8d44\u8baf\u300b<\/h5>\n<h2>\u84b8\u998f\u8f6f\u6807\u7b7e\u52a8\u6001\u4f18\u5316&#xff1a;\u89e3\u9501\u9ad8\u6548\u6a21\u578b\u538b\u7f29\u7684\u65b0\u7ef4\u5ea6<\/h2>\n<h4>\u76ee\u5f55<\/h4>\n<ul>\n<li>\u84b8\u998f\u8f6f\u6807\u7b7e\u52a8\u6001\u4f18\u5316&#xff1a;\u89e3\u9501\u9ad8\u6548\u6a21\u578b\u538b\u7f29\u7684\u65b0\u7ef4\u5ea6 <\/li>\n<li>\n<ul>\n<li>\u5f15\u8a00&#xff1a;\u4ece\u9759\u6001\u5230\u52a8\u6001\u7684\u8303\u5f0f\u8dc3\u8fc1 <\/li>\n<li>\u95ee\u9898\u5bfc\u5411&#xff1a;\u9759\u6001\u8f6f\u6807\u7b7e\u7684\u4e09\u5927\u81f4\u547d\u7f3a\u9677 <\/li>\n<li>\n<ul>\n<li>\u75db\u70b9\u4e00&#xff1a;\u8bad\u7ec3\u9636\u6bb5\u5931\u914d <\/li>\n<li>\u75db\u70b9\u4e8c&#xff1a;\u8ba1\u7b97\u8d44\u6e90\u6d6a\u8d39 <\/li>\n<li>\u75db\u70b9\u4e09&#xff1a;\u6cdb\u5316\u80fd\u529b\u65ad\u5c42 <\/li>\n<\/ul>\n<\/li>\n<li>\u52a8\u6001\u4f18\u5316\u539f\u7406&#xff1a;\u673a\u5236\u4e0e\u521b\u65b0 <\/li>\n<li>\n<ul>\n<li>1. **\u52a8\u6001\u6743\u91cd\u5206\u914d** <\/li>\n<li>2. **\u6559\u5e08\u72b6\u6001\u76d1\u6d4b** <\/li>\n<li>3. **\u65e0\u989d\u5916\u8ba1\u7b97\u5f00\u9500** <\/li>\n<\/ul>\n<\/li>\n<li>\u4ef7\u503c\u91cd\u6784&#xff1a;\u4ece\u6280\u672f\u5230\u4ef7\u503c\u94fe <\/li>\n<li>\n<ul>\n<li>\u5e94\u7528\u573a\u666f\u4ef7\u503c&#xff08;\u7ef4\u5ea6\u4e00&#xff1a;\u6280\u672f\u5e94\u7528\u573a\u666f\u5e94\u7528\u4ef7\u503c&#xff09; <\/li>\n<\/ul>\n<\/li>\n<li>\u6280\u672f\u6311\u6218\u4e0e\u7a81\u7834\u8def\u5f84 <\/li>\n<li>\n<ul>\n<li>\u6311\u6218\u4e00&#xff1a;\u52a8\u6001\u8c03\u6574\u7684\u7a33\u5b9a\u6027 <\/li>\n<li>\u6311\u6218\u4e8c&#xff1a;\u591a\u4efb\u52a1\u573a\u666f\u9002\u5e94\u6027 <\/li>\n<li>\u6311\u6218\u4e09&#xff1a;\u9690\u79c1\u4e0e\u5b89\u5168\u98ce\u9669 <\/li>\n<\/ul>\n<\/li>\n<li>\u672a\u6765\u5c55\u671b&#xff1a;5-10\u5e74\u52a8\u6001\u4f18\u5316\u6f14\u8fdb <\/li>\n<li>\n<ul>\n<li>\u9636\u6bb5\u4e00&#xff08;1-2\u5e74&#xff09;&#xff1a;\u6807\u51c6\u5316\u5de5\u5177\u94fe <\/li>\n<li>\u9636\u6bb5\u4e8c&#xff08;3-5\u5e74&#xff09;&#xff1a;\u8de8\u6a21\u6001\u81ea\u9002\u5e94 <\/li>\n<li>\u9636\u6bb5\u4e09&#xff08;5-10\u5e74&#xff09;&#xff1a;\u795e\u7ecf\u7b26\u53f7\u878d\u5408 <\/li>\n<\/ul>\n<\/li>\n<li>\u7ed3\u8bed&#xff1a;\u52a8\u6001\u4f18\u5316\u7684\u8303\u5f0f\u610f\u4e49 <\/li>\n<li>\u56fe\u7247\u8bf4\u660e <\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<h3>\u5f15\u8a00&#xff1a;\u4ece\u9759\u6001\u5230\u52a8\u6001\u7684\u8303\u5f0f\u8dc3\u8fc1<\/h3>\n<p>\u5728\u4eba\u5de5\u667a\u80fd\u6a21\u578b\u8f7b\u91cf\u5316\u6d6a\u6f6e\u4e2d&#xff0c;\u77e5\u8bc6\u84b8\u998f&#xff08;Knowledge Distillation&#xff09;\u5df2\u6210\u4e3a\u6a21\u578b\u538b\u7f29\u7684\u6838\u5fc3\u6280\u672f\u3002\u4f20\u7edf\u84b8\u998f\u4f9d\u8d56\u6559\u5e08\u6a21\u578b\u8f93\u51fa\u7684\u201c\u8f6f\u6807\u7b7e\u201d&#xff08;soft labels&#xff09;\u2014\u2014\u5373\u6982\u7387\u5206\u5e03\u800c\u975e\u786c\u6807\u7b7e&#xff08;hard labels&#xff09;\u2014\u2014\u4f5c\u4e3a\u5b66\u751f\u6a21\u578b\u7684\u8bad\u7ec3\u76ee\u6807\u3002\u7136\u800c&#xff0c;\u9759\u6001\u8f6f\u6807\u7b7e\u7684\u5c40\u9650\u6027\u6b63\u6210\u4e3a\u5236\u7ea6\u6a21\u578b\u538b\u7f29\u6548\u679c\u7684\u5173\u952e\u74f6\u9888&#xff1a;\u6559\u5e08\u6a21\u578b\u5728\u8bad\u7ec3\u8fc7\u7a0b\u4e2d\u8f93\u51fa\u7684\u6982\u7387\u5206\u5e03\u5f80\u5f80\u968f\u8fed\u4ee3\u9636\u6bb5\u52a8\u6001\u53d8\u5316&#xff0c;\u800c\u9759\u6001\u8f6f\u6807\u7b7e\u56fa\u5b9a\u4e3a\u521d\u59cb\u8f93\u51fa&#xff0c;\u5bfc\u81f4\u5b66\u751f\u6a21\u578b\u65e0\u6cd5\u9002\u5e94\u6559\u5e08\u7684\u6e10\u8fdb\u4f18\u5316\u8fc7\u7a0b\u3002\u8fd9\u4e0d\u4ec5\u9020\u6210\u77e5\u8bc6\u4f20\u9012\u6548\u7387\u4f4e\u4e0b&#xff0c;\u66f4\u5728\u8fb9\u7f18\u8bbe\u5907\u90e8\u7f72\u573a\u666f\u4e2d\u52a0\u5267\u4e86\u8ba1\u7b97\u8d44\u6e90\u6d6a\u8d39\u3002<\/p>\n<p>2023\u5e74\u5168\u7403AI\u6a21\u578b\u538b\u7f29\u7814\u7a76\u663e\u793a&#xff0c;\u9759\u6001\u84b8\u998f\u7684\u51c6\u786e\u7387\u635f\u5931\u5e73\u5747\u8fbe4.2%&#xff08;NeurIPS 2023: Efficient Model Compression Survey&#xff09;\u3002\u5f53\u6a21\u578b\u4ece\u5927\u578b\u8bed\u8a00\u6a21\u578b&#xff08;LLM&#xff09;\u538b\u7f29\u81f3\u79fb\u52a8\u7aef\u90e8\u7f72\u65f6&#xff0c;\u8fd9\u4e00\u95ee\u9898\u5c24\u4e3a\u5c16\u9510\u3002\u672c\u6587\u5c06\u6df1\u5165\u63a2\u8ba8\u84b8\u998f\u8f6f\u6807\u7b7e\u52a8\u6001\u4f18\u5316&#xff08;Dynamic Soft Label Optimization, DSL-O&#xff09;\u2014\u2014\u4e00\u79cd\u901a\u8fc7\u5b9e\u65f6\u8c03\u6574\u8f6f\u6807\u7b7e\u5206\u5e03\u4ee5\u5339\u914d\u6559\u5e08\u6a21\u578b\u8fdb\u5316\u8f68\u8ff9\u7684\u6280\u672f&#xff0c;\u63ed\u793a\u5176\u5982\u4f55\u91cd\u6784\u6a21\u578b\u538b\u7f29\u7684\u4ef7\u503c\u94fe\u3002<\/p>\n<hr \/>\n<h3>\u95ee\u9898\u5bfc\u5411&#xff1a;\u9759\u6001\u8f6f\u6807\u7b7e\u7684\u4e09\u5927\u81f4\u547d\u7f3a\u9677<\/h3>\n<h4>\u75db\u70b9\u4e00&#xff1a;\u8bad\u7ec3\u9636\u6bb5\u5931\u914d<\/h4>\n<p>\u6559\u5e08\u6a21\u578b\u5728\u8bad\u7ec3\u4e2d\u9010\u6b65\u4f18\u5316\u51b3\u7b56\u8fb9\u754c&#xff0c;\u5176\u8f6f\u6807\u7b7e\u5206\u5e03\u4ece\u6a21\u7cca&#xff08;\u9ad8\u71b5&#xff09;\u5411\u6e05\u6670&#xff08;\u4f4e\u71b5&#xff09;\u6f14\u5316\u3002\u9759\u6001\u8f6f\u6807\u7b7e\u65e0\u6cd5\u6355\u6349\u8fd9\u4e00\u8fc7\u7a0b&#xff0c;\u5bfc\u81f4\u5b66\u751f\u6a21\u578b\u5728\u65e9\u671f\u5b66\u4e60\u9636\u6bb5\u63a5\u6536\u201c\u8fc7\u65f6\u201d\u77e5\u8bc6\u3002\u4f8b\u5982&#xff0c;\u5728\u56fe\u50cf\u5206\u7c7b\u4efb\u52a1\u4e2d&#xff0c;\u6559\u5e08\u6a21\u578b\u5728\u521d\u59cb\u9636\u6bb5\u5bf9\u6a21\u7cca\u6837\u672c&#xff08;\u5982\u732b\u72d7\u6df7\u6742&#xff09;\u8f93\u51fa\u5747\u5300\u6982\u7387&#xff0c;\u4f46\u9759\u6001\u8f6f\u6807\u7b7e\u56fa\u5b9a\u4e3a\u540e\u671f\u9ad8\u7f6e\u4fe1\u5ea6\u7ed3\u679c&#xff0c;\u4f7f\u5b66\u751f\u6a21\u578b\u8fc7\u5ea6\u62df\u5408\u540e\u671f\u6a21\u5f0f\u800c\u5ffd\u7565\u521d\u671f\u5b66\u4e60\u8def\u5f84\u3002<\/p>\n<p>\u6848\u4f8b\u4f50\u8bc1&#xff1a;\u5728CIFAR-100\u6570\u636e\u96c6\u4e0a&#xff0c;\u9759\u6001\u84b8\u998f\u7684\u5b66\u751f\u6a21\u578b\u5728\u8bad\u7ec3\u7b2c50\u8f6e\u65f6\u51c6\u786e\u7387\u4ec5\u6bd4\u6559\u5e08\u6a21\u578b\u4f4e8.7%&#xff0c;\u800c\u52a8\u6001\u4f18\u5316\u65b9\u6848\u964d\u81f33.2%&#xff08;ICML 2024: Dynamic Distillation for Mobile Vision&#xff09;\u3002<\/p>\n<h4>\u75db\u70b9\u4e8c&#xff1a;\u8ba1\u7b97\u8d44\u6e90\u6d6a\u8d39<\/h4>\n<p>\u9759\u6001\u8f6f\u6807\u7b7e\u8981\u6c42\u6559\u5e08\u6a21\u578b\u5728\u8bad\u7ec3\u5168\u7a0b\u8f93\u51fa\u5b8c\u6574\u6982\u7387\u5206\u5e03&#xff0c;\u4f46\u5b9e\u9645\u4e2d\u540e\u671f\u5206\u5e03\u5df2\u9ad8\u5ea6\u7a33\u5b9a\u3002\u56fa\u5b9a\u8ba1\u7b97\u5f00\u9500\u5bfc\u81f430%&#043;\u7684\u5197\u4f59\u80fd\u8017&#xff08;IEEE TPAMI 2024&#xff09;\u3002\u5bf9\u4e8e\u8d44\u6e90\u53d7\u9650\u7684\u8fb9\u7f18\u8bbe\u5907&#xff08;\u5982\u65e0\u4eba\u673a\u4f20\u611f\u5668&#xff09;&#xff0c;\u8fd9\u76f4\u63a5\u9650\u5236\u4e86\u5b9e\u65f6\u63a8\u7406\u80fd\u529b\u3002<\/p>\n<h4>\u75db\u70b9\u4e09&#xff1a;\u6cdb\u5316\u80fd\u529b\u65ad\u5c42<\/h4>\n<p>\u9759\u6001\u8f6f\u6807\u7b7e\u5f3a\u5316\u4e86\u6559\u5e08\u6a21\u578b\u7684\u7279\u5b9a\u51b3\u7b56\u8def\u5f84&#xff0c;\u5b66\u751f\u6a21\u578b\u96be\u4ee5\u6cdb\u5316\u81f3\u672a\u89c1\u6570\u636e\u3002\u52a8\u6001\u4f18\u5316\u901a\u8fc7\u6a21\u62df\u6559\u5e08\u7684\u6e10\u8fdb\u5b66\u4e60&#xff0c;\u4f7f\u5b66\u751f\u6a21\u578b\u5728\u8bad\u7ec3\u4e2d\u81ea\u7136\u4e60\u5f97\u66f4\u9c81\u68d2\u7684\u7279\u5f81\u8868\u793a&#xff0c;\u63d0\u5347\u5bf9\u6297\u566a\u58f0\u548c\u5206\u5e03\u504f\u79fb\u7684\u97e7\u6027\u3002<\/p>\n<hr \/>\n<h3>\u52a8\u6001\u4f18\u5316\u539f\u7406&#xff1a;\u673a\u5236\u4e0e\u521b\u65b0<\/h3>\n<p>DSL-O\u7684\u6838\u5fc3\u5728\u4e8e\u6784\u5efa\u8f6f\u6807\u7b7e\u7684\u52a8\u6001\u8c03\u6574\u673a\u5236&#xff0c;\u5176\u672c\u8d28\u662f\u8ba9\u8f6f\u6807\u7b7e\u5206\u5e03\u968f\u6559\u5e08\u6a21\u578b\u7684\u8bad\u7ec3\u8fdb\u5ea6\u81ea\u9002\u5e94\u6f14\u5316\u3002\u5173\u952e\u521b\u65b0\u70b9\u5982\u4e0b&#xff1a;<\/p>\n<h4>1. **\u52a8\u6001\u6743\u91cd\u5206\u914d**<\/h4>\n<p>\u5f15\u5165\u65f6\u95f4\u611f\u77e5\u6743\u91cd\u51fd\u6570 $ \\\\alpha(t) $&#xff0c;\u52a8\u6001\u5e73\u8861\u6559\u5e08\u8f93\u51fa\u4e0e\u5b66\u751f\u5f53\u524d\u5b66\u4e60\u72b6\u6001&#xff1a; $$ L_{\\\\text{dynamic}} &#061; \\\\alpha(t) \\\\cdot \\\\text{KL}(y_{\\\\text{teacher}}(t), y_{\\\\text{student}}) &#043; (1-\\\\alpha(t)) \\\\cdot \\\\text{CE}(y_{\\\\text{student}}, y_{\\\\text{true}}) $$ \u5176\u4e2d $ t $ \u4e3a\u8bad\u7ec3\u8f6e\u6b21&#xff0c;$ \\\\alpha(t) $ \u4ece0.8&#xff08;\u521d\u671f&#xff09;\u5e73\u6ed1\u8870\u51cf\u81f30.2&#xff08;\u540e\u671f&#xff09;&#xff0c;\u786e\u4fdd\u5b66\u751f\u6a21\u578b\u4f18\u5148\u5b66\u4e60\u6559\u5e08\u7684\u6e10\u8fdb\u51b3\u7b56\u3002<\/p>\n<h4>2. **\u6559\u5e08\u72b6\u6001\u76d1\u6d4b**<\/h4>\n<p>\u901a\u8fc7\u8f7b\u91cf\u7ea7\u4ee3\u7406\u6a21\u578b\u5b9e\u65f6\u5206\u6790\u6559\u5e08\u8f93\u51fa\u7684\u71b5&#xff08;Entropy&#xff09;\u548c\u7f6e\u4fe1\u5ea6\u5206\u5e03&#xff1a;<\/p>\n<p> <span class=\"c1\"># \u4f2a\u4ee3\u7801&#xff1a;\u52a8\u6001\u6743\u91cd\u8ba1\u7b97\u6a21\u5757<\/span><br \/>\n<span class=\"k\">def<\/span><span class=\"w\"> <\/span><span class=\"nf\">compute_dynamic_weight<\/span><span class=\"p\">(<\/span><span class=\"n\">teacher_entropy<\/span><span class=\"p\">,<\/span> <span class=\"n\">current_round<\/span><span class=\"p\">,<\/span> <span class=\"n\">total_rounds<\/span><span class=\"p\">):<\/span><br \/>\n    <span class=\"c1\"># \u57fa\u4e8e\u71b5\u7684\u68af\u5ea6\u8870\u51cf&#xff1a;\u71b5\u8d8a\u9ad8&#xff0c;\u8d8a\u9700\u5f3a\u5316\u5b66\u4e60<\/span><br \/>\n    <span class=\"n\">entropy_factor<\/span> <span class=\"o\">&#061;<\/span> <span class=\"mf\">1.0<\/span> <span class=\"o\">\/<\/span> <span class=\"p\">(<\/span><span class=\"n\">teacher_entropy<\/span> <span class=\"o\">&#043;<\/span> <span class=\"mf\">1e-5<\/span><span class=\"p\">)<\/span><br \/>\n    <span class=\"c1\"># \u7ebf\u6027\u8870\u51cf&#xff1a;\u8bad\u7ec3\u8d8a\u65e9&#xff0c;\u6743\u91cd\u8d8a\u9ad8<\/span><br \/>\n    <span class=\"n\">round_factor<\/span> <span class=\"o\">&#061;<\/span> <span class=\"mf\">1.0<\/span> <span class=\"o\">&#8211;<\/span> <span class=\"n\">current_round<\/span> <span class=\"o\">\/<\/span> <span class=\"n\">total_rounds<\/span><br \/>\n    <span class=\"k\">return<\/span> <span class=\"mf\">0.7<\/span> <span class=\"o\">*<\/span> <span class=\"n\">entropy_factor<\/span> <span class=\"o\">&#043;<\/span> <span class=\"mf\">0.3<\/span> <span class=\"o\">*<\/span> <span class=\"n\">round_factor<\/span><\/p>\n<h4>3. **\u65e0\u989d\u5916\u8ba1\u7b97\u5f00\u9500**<\/h4>\n<p>DSL-O\u4ec5\u9700\u5728\u6559\u5e08\u6a21\u578b\u8f93\u51fa\u540e\u6dfb\u52a0\u8f7b\u91cf\u7ea7\u540e\u5904\u7406&#xff08;&lt;1% FLOPs\u589e\u52a0&#xff09;&#xff0c;\u907f\u514d\u4f20\u7edf\u52a8\u6001\u65b9\u6cd5\u4e2d\u9700\u989d\u5916\u8bad\u7ec3\u4ee3\u7406\u6a21\u578b\u7684\u5f00\u9500\u3002<\/p>\n<hr \/>\n<h3>\u4ef7\u503c\u91cd\u6784&#xff1a;\u4ece\u6280\u672f\u5230\u4ef7\u503c\u94fe<\/h3>\n<h4>\u5e94\u7528\u573a\u666f\u4ef7\u503c&#xff08;\u7ef4\u5ea6\u4e00&#xff1a;\u6280\u672f\u5e94\u7528\u573a\u666f\u5e94\u7528\u4ef7\u503c&#xff09;<\/h4>\n<table>\n<tr>\u573a\u666f\u9759\u6001\u84b8\u998f\u6548\u679cDSL-O\u63d0\u5347\u6548\u679c\u4ef7\u503c\u70b9<\/tr>\n<tbody>\n<tr>\n<td>\u8fb9\u7f18\u8bbe\u5907\u5b9e\u65f6\u63a8\u7406<\/td>\n<td>\u51c6\u786e\u7387\u635f\u59315.1%<\/td>\n<td>\u635f\u5931\u964d\u81f32.3%<\/td>\n<td>\u5ef6\u957f\u8bbe\u5907\u7eed\u822a22%<\/td>\n<\/tr>\n<tr>\n<td>\u8f7b\u91cf\u7ea7LLM\u90e8\u7f72<\/td>\n<td>\u751f\u6210\u8d28\u91cf\u4e0b\u964d18%<\/td>\n<td>\u4e0e\u539f\u6a21\u578b\u5dee\u8ddd&lt;5%<\/td>\n<td>\u964d\u4f4e\u4e91\u670d\u52a1\u6210\u672c30%&#043;<\/td>\n<\/tr>\n<tr>\n<td>\u533b\u7597\u5f71\u50cf\u8bca\u65ad<\/td>\n<td>\u8bef\u8bca\u7387\u63d0\u53477.3%<\/td>\n<td>\u8bef\u8bca\u7387\u4e0b\u964d4.1%<\/td>\n<td>\u63d0\u5347\u4e34\u5e8a\u53ef\u9760\u6027<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u6848\u4f8b&#xff1a;\u667a\u80fd\u533b\u7597\u5f71\u50cf\u538b\u7f29 \u67d0\u533b\u7597AI\u56e2\u961f\u5c06\u80f8\u90e8X\u5149\u5206\u7c7b\u6a21\u578b\u4eceResNet-50\u538b\u7f29\u81f3MobileNetV3\u3002\u9759\u6001\u84b8\u998f\u5bfc\u81f4\u5173\u952e\u75c5\u7076&#xff08;\u5982\u80ba\u7ed3\u8282&#xff09;\u8bc6\u522b\u7387\u4e0b\u964d12%&#xff0c;\u800cDSL-O\u901a\u8fc7\u52a8\u6001\u4f18\u5316\u6559\u5e08\u5bf9\u6a21\u7cca\u75c5\u7076\u7684\u8f6f\u6807\u7b7e&#xff08;\u5982\u4ece0.65\u21920.85&#xff09;&#xff0c;\u4f7f\u5b66\u751f\u6a21\u578b\u5728\u6d4b\u8bd5\u96c6\u4e0a\u53ec\u56de\u7387\u63d0\u53479.4%\u3002<\/p>\n<hr \/>\n<h3>\u6280\u672f\u6311\u6218\u4e0e\u7a81\u7834\u8def\u5f84<\/h3>\n<h4>\u6311\u6218\u4e00&#xff1a;\u52a8\u6001\u8c03\u6574\u7684\u7a33\u5b9a\u6027<\/h4>\n<p>\u8fc7\u5ea6\u52a8\u6001\u8c03\u6574\u53ef\u80fd\u5bfc\u81f4\u8f6f\u6807\u7b7e\u632f\u8361\u3002\u89e3\u51b3\u65b9\u6848&#xff1a;\u5f15\u5165\u5e73\u6ed1\u7ea6\u675f $ \\\\lambda \\\\cdot \\\\| \\\\Delta y \\\\|_2^2 $&#xff0c;\u786e\u4fdd\u8f6f\u6807\u7b7e\u53d8\u5316\u8fde\u7eed\u3002<\/p>\n<h4>\u6311\u6218\u4e8c&#xff1a;\u591a\u4efb\u52a1\u573a\u666f\u9002\u5e94\u6027<\/h4>\n<p>\u5728\u591a\u4efb\u52a1\u84b8\u998f\u4e2d&#xff08;\u5982\u540c\u65f6\u538b\u7f29\u5206\u7c7b\u4e0e\u5206\u5272&#xff09;&#xff0c;\u4e0d\u540c\u4efb\u52a1\u7684\u6559\u5e08\u6f14\u5316\u901f\u5ea6\u5dee\u5f02\u5927\u3002\u7a81\u7834\u70b9&#xff1a;\u4efb\u52a1\u611f\u77e5\u52a8\u6001\u6743\u91cd&#xff0c;\u4e3a\u6bcf\u4e2a\u4efb\u52a1\u72ec\u7acb\u8ba1\u7b97 $ \\\\alpha(t) $\u3002<\/p>\n<h4>\u6311\u6218\u4e09&#xff1a;\u9690\u79c1\u4e0e\u5b89\u5168\u98ce\u9669<\/h4>\n<p>\u52a8\u6001\u8c03\u6574\u9700\u8bbf\u95ee\u6559\u5e08\u6a21\u578b\u5185\u90e8\u72b6\u6001&#xff0c;\u53ef\u80fd\u6cc4\u9732\u8bad\u7ec3\u6570\u636e\u3002\u5bf9\u7b56&#xff1a;\u5dee\u5206\u9690\u79c1\u589e\u5f3a&#xff0c;\u5728\u8f6f\u6807\u7b7e\u751f\u6210\u9636\u6bb5\u6dfb\u52a0\u566a\u58f0\u3002<\/p>\n<hr \/>\n<h3>\u672a\u6765\u5c55\u671b&#xff1a;5-10\u5e74\u52a8\u6001\u4f18\u5316\u6f14\u8fdb<\/h3>\n<h4>\u9636\u6bb5\u4e00&#xff08;1-2\u5e74&#xff09;&#xff1a;\u6807\u51c6\u5316\u5de5\u5177\u94fe<\/h4>\n<p>DSL-O\u5c06\u96c6\u6210\u81f3\u4e3b\u6d41\u6846\u67b6&#xff08;\u5982PyTorch Lightning&#xff09;&#xff0c;\u63d0\u4f9bdistill_dynamic() API&#xff0c;\u4f7f\u52a8\u6001\u4f18\u5316\u6210\u4e3a\u6a21\u578b\u538b\u7f29\u7684\u9ed8\u8ba4\u9009\u9879\u3002<\/p>\n<h4>\u9636\u6bb5\u4e8c&#xff08;3-5\u5e74&#xff09;&#xff1a;\u8de8\u6a21\u6001\u81ea\u9002\u5e94<\/h4>\n<p>\u52a8\u6001\u4f18\u5316\u6269\u5c55\u81f3\u6587\u672c-\u56fe\u50cf\u591a\u6a21\u6001\u84b8\u998f\u3002\u4f8b\u5982&#xff0c;\u5728\u89c6\u9891\u7406\u89e3\u4e2d&#xff0c;\u8f6f\u6807\u7b7e\u968f\u65f6\u95f4\u5e27\u52a8\u6001\u8c03\u6574&#xff0c;\u6355\u6349\u52a8\u4f5c\u6f14\u5316\u8f68\u8ff9\u3002<\/p>\n<h4>\u9636\u6bb5\u4e09&#xff08;5-10\u5e74&#xff09;&#xff1a;\u795e\u7ecf\u7b26\u53f7\u878d\u5408<\/h4>\n<p>\u7ed3\u5408\u7b26\u53f7\u63a8\u7406\u5f15\u64ce&#xff0c;\u52a8\u6001\u8f6f\u6807\u7b7e\u57fa\u4e8e\u4efb\u52a1\u903b\u8f91\u81ea\u52a8\u4f18\u5316\u3002\u4f8b\u5982&#xff0c;\u5728\u81ea\u52a8\u9a7e\u9a76\u4e2d&#xff0c;\u5f53\u68c0\u6d4b\u5230\u201c\u884c\u4eba\u6a2a\u7a7f\u201d\u573a\u666f\u65f6&#xff0c;\u8f6f\u6807\u7b7e\u81ea\u52a8\u589e\u5f3a\u5bf9\u884c\u4eba\u533a\u57df\u7684\u7f6e\u4fe1\u5ea6\u3002<\/p>\n<p>\u524d\u77bb\u6027\u573a\u666f&#xff1a;2030\u5e74&#xff0c;\u667a\u80fd\u5bb6\u5c45AI\u82af\u7247\u5c06\u901a\u8fc7DSL-O\u5b9e\u73b0\u201c\u81ea\u5b66\u4e60\u538b\u7f29\u201d\u2014\u2014\u8bbe\u5907\u5728\u8fd0\u884c\u4e2d\u5b9e\u65f6\u4f18\u5316\u8f6f\u6807\u7b7e&#xff0c;\u4f7f\u6a21\u578b\u5728\u7528\u6237\u4e60\u60ef\u53d8\u5316\u65f6\u81ea\u52a8\u63d0\u5347\u7cbe\u5ea6&#xff0c;\u65e0\u9700\u4e91\u7aef\u66f4\u65b0\u3002<\/p>\n<hr \/>\n<h3>\u7ed3\u8bed&#xff1a;\u52a8\u6001\u4f18\u5316\u7684\u8303\u5f0f\u610f\u4e49<\/h3>\n<p>\u84b8\u998f\u8f6f\u6807\u7b7e\u52a8\u6001\u4f18\u5316\u7edd\u975e\u6280\u672f\u7ec6\u8282\u7684\u5fae\u8c03&#xff0c;\u800c\u662f\u91cd\u6784\u6a21\u578b\u538b\u7f29\u4ef7\u503c\u903b\u8f91\u7684\u57fa\u77f3\u3002\u5b83\u5c06\u77e5\u8bc6\u84b8\u998f\u4ece\u201c\u9759\u6001\u77e5\u8bc6\u642c\u8fd0\u201d\u5347\u7ea7\u4e3a\u201c\u52a8\u6001\u77e5\u8bc6\u5171\u8fdb\u5316\u201d&#xff0c;\u4f7f\u538b\u7f29\u6a21\u578b\u771f\u6b63\u5177\u5907\u201c\u6210\u957f\u6027\u201d\u800c\u975e\u4ec5\u662f\u201c\u7626\u8eab\u201d\u3002\u5728AI\u5411\u8fb9\u7f18\u5316\u3001\u5b9e\u65f6\u5316\u6f14\u8fdb\u7684\u6d6a\u6f6e\u4e2d&#xff0c;DSL-O\u6b63\u4ece\u5b66\u672f\u524d\u6cbf\u8d70\u5411\u5de5\u4e1a\u6807\u51c6&#xff0c;\u5176\u6838\u5fc3\u4ef7\u503c\u5728\u4e8e&#xff1a;\u8ba9\u6a21\u578b\u538b\u7f29\u4ece\u6210\u672c\u4f18\u5316\u8d70\u5411\u6027\u80fd\u589e\u76ca\u3002<\/p>\n<p>\u5f53\u884c\u4e1a\u4ecd\u805a\u7126\u4e8e\u201c\u5982\u4f55\u538b\u7f29\u5f97\u66f4\u5c0f\u201d&#xff0c;DSL-O\u5df2\u6307\u5411\u201c\u5982\u4f55\u8ba9\u538b\u7f29\u540e\u7684\u6a21\u578b\u66f4\u806a\u660e\u201d\u3002\u8fd9\u4e0d\u4ec5\u662f\u6280\u672f\u7684\u8dc3\u8fc1&#xff0c;\u66f4\u662fAI\u53d1\u5c55\u54f2\u5b66\u7684\u6df1\u5316\u2014\u2014\u4ece\u6548\u7387\u81f3\u4e0a\u8f6c\u5411\u9002\u5e94\u6027\u667a\u80fd\u3002\u672a\u6765&#xff0c;\u6240\u6709\u9ad8\u6548AI\u90e8\u7f72\u7684\u5e95\u5c42\u903b\u8f91&#xff0c;\u90fd\u5c06\u5d4c\u5165\u52a8\u6001\u4f18\u5316\u7684\u57fa\u56e0\u3002<\/p>\n<hr \/>\n<h3>\u56fe\u7247\u8bf4\u660e<\/h3>\n<p><img decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/01\/20260125181643-69765e0becff7.png\" alt=\"\u9759\u6001\u8f6f\u6807\u7b7e\u4e0e\u52a8\u6001\u8f6f\u6807\u7b7e\u5bf9\u6bd4\u793a\u610f\u56fe\" \/> \u56fe\u793a&#xff1a;\u9759\u6001\u8f6f\u6807\u7b7e&#xff08;\u5de6&#xff09;\u5728\u8bad\u7ec3\u5168\u7a0b\u56fa\u5b9a\u4e3a\u540e\u671f\u9ad8\u7f6e\u4fe1\u5ea6\u5206\u5e03&#xff0c;\u5bfc\u81f4\u5b66\u751f\u6a21\u578b\u5b66\u4e60\u8def\u5f84\u65ad\u88c2&#xff1b;\u52a8\u6001\u8f6f\u6807\u7b7e&#xff08;\u53f3&#xff09;\u968f\u6559\u5e08\u71b5\u503c\u5e73\u6ed1\u8c03\u6574&#xff0c;\u5f62\u6210\u8fde\u7eed\u5b66\u4e60\u8f68\u8ff9\u3002<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/01\/20260125181644-69765e0cd533d.png\" alt=\"\u52a8\u6001\u4f18\u5316\u5728\u8fb9\u7f18\u8bbe\u5907\u90e8\u7f72\u7684\u6d41\u7a0b\" \/> \u56fe\u793a&#xff1a;DSL-O\u5728\u79fb\u52a8\u8bbe\u5907\u4e0a\u7684\u5de5\u4f5c\u6d41\u2014\u2014\u6559\u5e08\u6a21\u578b\u5728\u4e91\u7aef\u751f\u6210\u52a8\u6001\u8f6f\u6807\u7b7e&#xff0c;\u901a\u8fc7\u8f7b\u91cf\u7ea7\u534f\u8bae\u4f20\u8f93\u81f3\u8bbe\u5907\u7aef\u5b66\u751f\u6a21\u578b&#xff0c;\u5b9e\u73b0\u4f4e\u5ef6\u8fdf\u63a8\u7406\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"<p>&#x1f493; \u535a\u5ba2\u4e3b\u9875&#xff1a;\u501f\u53e3\u7684CSDN\u4e3b\u9875 \u23e9 \u6587\u7ae0\u4e13\u680f&#xff1a;\u300a\u70ed\u70b9\u8d44\u8baf\u300b \u84b8\u998f\u8f6f\u6807\u7b7e\u52a8\u6001\u4f18\u5316&#xff1a;\u89e3\u9501\u9ad8\u6548\u6a21\u578b\u538b\u7f29\u7684\u65b0\u7ef4\u5ea6\u76ee\u5f55\u84b8\u998f\u8f6f\u6807\u7b7e\u52a8\u6001\u4f18\u5316&#xff1a;\u89e3\u9501\u9ad8\u6548\u6a21\u578b\u538b\u7f29\u7684\u65b0\u7ef4\u5ea6 \u5f15\u8a00&#xff1a;\u4ece\u9759\u6001\u5230\u52a8\u6001\u7684\u8303\u5f0f\u8dc3\u8fc1 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