{"id":46694,"date":"2023-11-22T22:01:24","date_gmt":"2023-11-22T14:01:24","guid":{"rendered":"https:\/\/swarma.org\/?p=46694"},"modified":"2023-11-22T22:01:24","modified_gmt":"2023-11-22T14:01:24","slug":"%e5%9b%be%e4%b8%8e%e5%9f%ba%e7%a1%80%e6%a8%a1%e5%9e%8b%ef%bc%9a%e5%a4%9a%e6%a8%a1%e6%80%81%e5%9f%ba%e7%a1%80%e6%a8%a1%e5%9e%8b%e5%85%b3%e7%b3%bb%e6%8e%a8%e7%90%86%e8%83%bd%e5%8a%9b%e6%a6%82%e8%bf%b0","status":"publish","type":"post","link":"https:\/\/swarma.org\/?p=46694","title":{"rendered":"\u56fe\u4e0e\u57fa\u7840\u6a21\u578b\uff1a\u591a\u6a21\u6001\u57fa\u7840\u6a21\u578b\u5173\u7cfb\u63a8\u7406\u80fd\u529b\u6982\u8ff0"},"content":{"rendered":"
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\u5218<\/span><\/span>\u4f73\u73ae<\/span><\/span> <\/span>| \u6574\u7406<\/span><\/strong><\/span><\/strong><\/span><\/strong><\/span><\/strong><\/section>\n
\u738b\u5fd7\u9e4f\u3001\u8303\u957f\u4fca<\/span><\/span> <\/span>| \u5ba1\u6821<\/span><\/strong><\/span><\/strong><\/span><\/strong><\/span><\/strong><\/span><\/strong><\/span><\/strong><\/span><\/strong><\/span><\/strong><\/section>\n

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0. \u57fa\u7840\u6a21\u578b\u6982\u8ff0<\/span><\/strong><\/section>\n
1. \u6a21\u578b\u67b6\u6784\u4e2d\u7684\u5173\u7cfb\u7ed3\u6784<\/span><\/strong><\/section>\n
  <\/span><\/span><\/strong>– <\/span>\u90bb\u8fd1\u56fe\u6355\u6349\u76f8\u4f3c\u5173\u7cfb<\/span><\/span><\/strong><\/section>\n
  – \u7a00\u758f Transformer<\/span><\/span><\/strong><\/section>\n
2. \u4efb\u52a1\u4e2d\u7684\u5173\u7cfb\u7ed3\u6784<\/span><\/strong><\/section>\n
  <\/span><\/strong>– GNN\u5b66\u4e60\u5206\u5b50\u56fe\u8868\u5f81<\/span><\/span><\/strong><\/section>\n
3. \u63a8\u7406\u4e2d\u7684\u5173\u7cfb\u7ed3\u6784<\/span><\/strong><\/section>\n
  <\/span><\/strong>– \u601d\u7ef4\u4f20\u64ad<\/span><\/span><\/strong><\/section>\n
4. \u603b\u7ed3<\/span><\/strong><\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n
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\u201c\u57fa\u7840\u6a21\u578b\u201d<\/span>\uff08foundation model\uff09<\/span>\u4e00\u8bcd\u6700\u521d\u7531\u65af\u5766\u798f\u5927\u5b66\u7684 Bommasani \u7b49\u4eba\u63d0\u51fa\uff0c\u5b9a\u4e49\u4e3a\u201c\u5728\u5e7f\u6cdb\u7684\u6570\u636e\u4e0a\u8bad\u7ec3\u4e14\u53ef\u4ee5\u88ab\u5e94\u7528\u4e8e\u5e7f\u6cdb\u7684\u4e0b\u6e38\u4efb\u52a1\u7684\u6a21\u578b\u201d\u3002\u4eba\u5de5\u667a\u80fd\u5411\u57fa\u7840\u6a21\u578b\u7684\u8303\u5f0f\u8f6c\u53d8\u610f\u4e49\u91cd\u5927\uff0c\u5141\u8bb8\u7528\u66f4\u5e7f\u6cdb\u7684\u901a\u7528\u6a21\u578b\u66ff\u6362\u51e0\u4e2a\u72ed\u7a84\u7684\u4efb\u52a1\u7279\u5b9a\u6a21\u578b\uff0c\u8fd9\u4e9b\u6a21\u578b\u4e00\u65e6\u7ecf\u8fc7\u8bad\u7ec3\u5c31\u53ef\u4ee5\u5feb\u901f\u9002\u5e94\u591a\u4e2a\u5e94\u7528\u7a0b\u5e8f\uff0c\u5e76\u4e14\u968f\u7740\u6a21\u578b\u53c2\u6570\u589e\u5927\uff0c\u6709\u53ef\u80fd\u5c55\u73b0\u51fa\u201c\u6d8c\u73b0\u201d\u80fd\u529b\u3002<\/span><\/section>\n

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\u5f53\u8c08\u53ca\u57fa\u7840\u6a21\u578b\u65f6\uff0c\u6211\u4eec\u7684\u5b9a\u4e49\u53ef\u80fd\u4f1a\u66f4\u52a0\u5e7f\u6cdb\uff0c\u4e0d\u4ec5\u4ec5\u5305\u62ec\u5927\u8bed\u8a00\u6a21\u578b<\/span>\uff08LLM\uff09<\/span>\uff0c\u8fd8\u6db5\u76d6\u4e86\u57fa\u4e8e\u81ea\u76d1\u7763\u5b66\u4e60\u6846\u67b6\u7684\u5404\u79cd\u57fa\u7840\u6a21\u578b\u3002\u8fd9\u4e9b\u6a21\u578b\u901a\u5e38\u4f1a\u5728\u6700\u7ec8\u4efb\u52a1\u4e0a\u8fdb\u884c\u5fae\u8c03\u3002\u8fd9\u79cd\u8303\u5f0f\u5728\u673a\u5668\u5b66\u4e60\u9886\u57df\u7684\u4f5c\u7528\u65e5\u76ca\u589e\u5927\u3002\u4ee5ImageNet\u4e3a\u4f8b\uff0c\u5b83\u4e4b\u6240\u4ee5\u53d6\u5f97\u6210\u529f\uff0c\u4e3b\u8981\u662f\u56e0\u4e3a\u5f53\u65f6\u4eba\u4eec\u666e\u904d\u5d07\u5c1a\u76d1\u7763\u5b66\u4e60\u3002ImageNet\u624b\u52a8\u6807\u8bb0\u4e861400\u4e07\u5f20\u56fe\u50cf\uff0c\u8fd9\u4e3a\u76d1\u7763\u5b66\u4e60\u63d0\u4f9b\u4e86\u6570\u636e\u57fa\u7840\uff0c\u4ece\u800c\u63a8\u52a8\u4e86\u89c6\u89c9\u9886\u57df\u7684\u5de8\u5927\u8fdb\u5c55\u3002\u7136\u800c\uff0c\u5728\u5927\u591a\u6570\u60c5\u51b5\u4e0b\uff0c\u8fd9\u79cd\u65b9\u6cd5\u5e76\u4e0d\u53ef\u884c\u3002\u4f8b\u5982\uff0c\u81ea\u7136\u8bed\u8a00\u5904\u7406\u6d89\u53ca\u4f17\u591a\u4efb\u52a1\u548c\u5927\u91cf\u7ffb\u8bd1\u5de5\u4f5c\uff0c\u4e0d\u53ef\u80fd\u8ba9\u4eba\u9010\u4e00\u5b8c\u6210\u3002\u6b64\u5916\uff0c\u6211\u4eec\u83b7\u53d6\u7684\u6570\u636e\u5f80\u5f80\u662f\u65e0\u76d1\u7763\u7684\u3002\u56e0\u6b64\uff0c\u57fa\u7840\u6a21\u578b\u7684\u6700\u5927\u4f18\u52bf\u5728\u4e8e\uff0c\u5373\u4f7f\u5728\u6ca1\u6709\u76d1\u7763\u7684\u60c5\u51b5\u4e0b\uff0c\u6211\u4eec\u4ecd\u7136\u53ef\u4ee5\u5229\u7528\u5927\u91cf\u6570\u636e\u6765\u5f00\u53d1\u901a\u7528\u6a21\u578b\uff0c\u9002\u7528\u4e8e\u5404\u79cd\u4e0d\u540c\u7684\u4e0b\u6e38\u4efb\u52a1<\/strong>\u3002\u4e0b\u9762\u662f\u4e00\u4e2a\u4f20\u7edf\u7684\u57fa\u7840\u6a21\u578b\u6846\u67b6\uff1a<\/span><\/section>\n

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\u56fe1 \u9884\u8bad\u7ec3\u548c\u5fae\u8c03<\/span><\/section>\n

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\u8fd9\u4e2a\u8fc7\u7a0b\u4e3b\u8981\u5206\u4e3a\u9884\u8bad\u7ec3<\/span>\uff08pre-training\uff09<\/span>\u548c\u5fae\u8c03<\/span>\uff08finetuning\uff09<\/span>\u4e24\u4e2a\u6b65\u9aa4\u3002\u5728\u9884\u8bad\u7ec3\u9636\u6bb5<\/strong>\uff0c\u6211\u4eec\u91c7\u7528\u81ea\u76d1\u7763\u5b66\u4e60\u65b9\u6cd5\uff0c\u4f8b\u5982\u4f7f\u7528\u8bed\u8a00\u6a21\u578b\u3002\u9996\u5148\uff0c\u6211\u4eec\u4f7f\u7528\u4e00\u4e2a\u7f16\u7801\u5668\uff0c\u4f8b\u5982 transformer\uff0c\u5bf9\u8f93\u5165\u6570\u636e\u8fdb\u884c\u7f16\u7801\uff0c\u7136\u540e\u5f97\u5230\u4e00\u4e9b\u5d4c\u5165<\/span>\uff08embedding\uff09<\/span>\u3002\u63a5\u7740\uff0c\u6211\u4eec\u518d\u4ece\u8fd9\u4e2a\u5d4c\u5165\u8fdb\u884c\u89e3\u7801\u3002\u5728\u89e3\u7801\u540e\uff0c\u6211\u4eec\u4f1a\u91c7\u7528\u4e00\u79cd\u81ea\u76d1\u7763\u635f\u5931\u51fd\u6570\uff0c\u4f8b\u5982\u63a9\u7801\u8bed\u8a00\u6a21\u578b<\/span>\uff08mask language model\uff09<\/span>\u3002\u5b8c\u6210\u9884\u8bad\u7ec3\u540e\uff0c\u5728\u5fae\u8c03\u9636\u6bb5<\/strong>\uff0c\u6211\u4eec\u5c06\u7f16\u7801\u5668\u56fa\u5b9a\u4e0b\u6765\uff0c\u4e0d\u518d\u9700\u8981\u5bf9\u8be5\u90e8\u5206\u8fdb\u884c\u4f18\u5316\u6216\u4ec5\u4f18\u5316\u5f88\u5c0f\u4e00\u90e8\u5206\u3002\u7136\u540e\uff0c\u6211\u4eec\u5c06\u8f93\u5165\u6570\u636e\u76f4\u63a5\u901a\u8fc7\u8fd9\u4e2a\u7f16\u7801\u5668\u5f97\u5230\u4e00\u4e2aembedding\uff0c\u518d\u4ece\u8fd9\u4e2aembedding\u8fdb\u884c\u5404\u79cd\u4e0b\u6e38\u4efb\u52a1\u7684\u5904\u7406\uff0c\u5305\u62ec\u6587\u672c\u5206\u7c7b\u3001\u6458\u8981\u548c\u7ffb\u8bd1\u7b49\u3002\u5728\u6b64\u8fc7\u7a0b\u4e2d\uff0c\u6211\u4eec\u4f1a\u91c7\u7528\u5404\u79cd\u635f\u5931\u51fd\u6570\u6765\u5fae\u8c03\u4e0b\u6e38\u4efb\u52a1\u3002<\/span><\/section>\n

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\u9700\u8981\u6ce8\u610f\u7684\u662f\uff0c\u5982\u679c\u662fGPT\u6a21\u578b\uff0c\u9700\u8981\u8fc1\u79fb\u7684\u90e8\u5206\u4e0d\u518d\u662f\u7f16\u7801\u5668\uff0c\u800c\u662f\u89e3\u7801\u5668<\/span>\uff08decoder\uff09<\/span>\u3002\u7136\u800c\uff0c\u6574\u4f53\u6846\u67b6\u57fa\u672c\u4fdd\u6301\u4e0d\u53d8\u3002\u5bf9\u4e8e\u56fe\u50cf\u57fa\u7840\u6a21\u578b\u7684\u8bad\u7ec3\uff0c\u540c\u6837\u53ef\u4ee5\u91c7\u7528\u8fd9\u4e2a\u6846\u67b6\u3002\u53ea\u9700\u5c06\u8f93\u5165\u6570\u636e\u4ece\u6587\u5b57\u8f6c\u6362\u4e3a\u56fe\u7247\uff0c\u5e76\u91c7\u7528\u7f16\u7801\u5668-\u89e3\u7801\u5668\u67b6\u6784\u6765\u83b7\u5f97\u81ea\u76d1\u7763\u635f\u5931\u3002\u5728\u5fae\u8c03\u9636\u6bb5\uff0c\u540c\u6837\u53ef\u4ee5\u5c06\u7f16\u7801\u5668\u8fc1\u79fb\u8fc7\u6765\uff0c\u8bad\u7ec3\u5404\u79cd\u4e0b\u6e38\u4efb\u52a1\u3002\u8fd9\u4e2a\u6846\u67b6\u5728\u4e0d\u540c\u7c7b\u578b\u7684\u6570\u636e<\/span>\uff08\u56fe\u3001\u56fe\u50cf\u3001\u6587\u5b57\u7b49\uff09<\/span>\u4e2d\u5177\u6709\u5f88\u9ad8\u7684\u901a\u7528\u6027\u3002<\/span><\/section>\n

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\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u8981\u8003\u8651\u4e0d\u540c\u6570\u636e\u7684\u6a21\u6001\u3002\u5728\u81ea\u7136\u8bed\u8a00\u5904\u7406\uff08NLP\uff09<\/strong>\u9886\u57df\uff0c\u6587\u672c\u901a\u5e38\u4ee5\u53e5\u5b50\u7684\u5f62\u5f0f\u5448\u73b0\u3002\u5728\u6bcf\u4e2a\u53e5\u5b50\u4e2d\uff0c\u6211\u4eec\u80fd\u770b\u5230\u4e0d\u540c\u7684\u5355\u8bcd\uff0c\u5b83\u4eec\u7ec4\u6210\u4e86\u4e0d\u540c\u7684\u8bcd\u7ec4\u3002\u7c7b\u4f3c\u5730\uff0c\u5728\u8ba1\u7b97\u673a\u89c6\u89c9\uff08CV\uff09<\/strong>\u9886\u57df\uff0c\u6570\u636e\u5219\u4ee5\u56fe\u7247\u7684\u5f62\u5f0f\u51fa\u73b0\uff0c\u800c\u56fe\u7247\u7684\u57fa\u672c\u5355\u5143\u53ef\u80fd\u662f\u50cf\u7d20\u3002\u5728\u56fe<\/strong>\uff08Graph\uff09<\/strong>\u4e2d\uff0c\u56fe\u7684\u6784\u6210\u5355\u5143\u662f\u8282\u70b9\uff0c\u8bb8\u591a\u8282\u70b9\u7ec4\u6210\u4e00\u4e2a\u5b50\u56fe\u3002<\/span><\/section>\n

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\u56fe2. NLP\u3001CV\u548cGraph\u7684\u5bf9\u6bd4<\/span><\/section>\n

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\u672c\u6b21\u5206\u4eab\u7684\u5185\u5bb9\u5185\u5bb9\u6d89\u53ca\u8fd9\u4e09\u4e2a\u4e0d\u540c\u7684\u65b9\u9762\uff0c\u540c\u65f6\u4e5f\u4f1a\u63a2\u8ba8\u4e0d\u540c\u6570\u636e\u6a21\u6001\u7684\u9002\u7528\u6027\u3002\u5e0c\u671b\u6240\u4ecb\u7ecd\u7684\u65b9\u6cd5\u80fd\u591f\u5e7f\u6cdb\u5e94\u7528\u4e8e\u4e0d\u540c\u7684\u57fa\u7840\u6a21\u578b\u4e0a\uff0c\u8fd9\u4e9b\u65b9\u6cd5\u7684\u4e00\u4e2a\u5171\u540c\u70b9\u5c31\u662f\u5229\u7528\u5173\u7cfb\u63a8\u7406\u6216\u56fe\u7684\u65b9\u5f0f\u6765\u5b9e\u73b0\u3002\u5c06\u4ece\u4e09\u4e2a\u65b9\u9762\u5c55\u5f00\uff0c\u9996\u5148\u662f\u9884\u8bad\u7ec3\uff0c\u5176\u6b21\u662f\u5fae\u8c03\uff0c\u6700\u540e\u662f\u6a21\u578b\u63a8\u7406\u3002\u8fd9\u4e09\u4e2a\u6b65\u9aa4\u90fd\u53ef\u4ee5\u5229\u7528\u56fe\u5173\u7cfb\u63a8\u7406\u7684\u65b9\u6cd5\u6765\u5b9e\u73b0\u3002<\/span><\/section>\n

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1. \u9884\u8bad\u7ec3\u4e2d\u7684\u5173\u7cfb\u7ed3\u6784<\/strong><\/span><\/strong><\/strong><\/p>\n<\/section>\n

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\u6211\u4eec\u4ece\u9884\u8bad\u7ec3\u5f00\u59cb\u8c08\u8d77\uff0c\u4e5f\u5c31\u662f\u81ea\u76d1\u7763\u5b66\u4e60\u3002\u81ea\u76d1\u7763\u5b66\u4e60\u901a\u5e38\u5206\u4e3a\u4e24\u5927\u7c7b\uff1a\u751f\u6210\u5f0f\u548c\u5bf9\u6bd4\u5f0f\u3002\u751f\u6210\u5f0f\u7684\u4efb\u52a1\u4e3b\u8981\u662f\u63a9\u7801\u8bed\u8a00\u6a21\u578b\uff0c\u5373\u5c06\u6570\u636e\u7684\u4e00\u90e8\u5206\u8fdb\u884c\u63a9\u7801\uff0c\u7136\u540e\u8ba9\u6a21\u578b\u8fdb\u884c\u6062\u590d\u3002\u800c\u5bf9\u6bd4\u5f0f\u5219\u4e0d\u662f\u751f\u6210\u88ab\u63a9\u7801\u6389\u7684\u5185\u5bb9\uff0c\u800c\u662f\u53bb\u533a\u5206\u76f8\u4f3c\u7684\u548c\u4e0d\u76f8\u4f3c\u7684\u6570\u636e\u3002\u5bf9\u6bd4\u5f0f\u81ea\u76d1\u7763\u7b97\u6cd5\u901a\u5e38\u5177\u6709\u8f83\u9ad8\u7684\u6709\u6548\u6027\uff0c\u56e0\u6b64\u6211\u4eec\u4eca\u5929\u5206\u4eab\u7684\u7b2c\u4e00\u9879\u5de5\u4f5c\u662f\u5173\u4e8e\u5bf9\u6bd4\u5b66\u4e60\uff08contrastive learning\uff09\u7684\u5f62\u5f0f<\/strong>\u3002<\/span><\/section>\n

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\u5bf9\u6bd4\u5b66\u4e60\u662f\u4e00\u4e2a\u975e\u5e38\u7b80\u5355\u7684\u539f\u5219\u3002\u5728\u8bb8\u591a\u6570\u636e\u4e2d\uff0c\u6709\u4e9b\u6570\u636e\u70b9\u662f\u76f8\u4f3c\u7684\uff0c\u6709\u4e9b\u5219\u76f8\u8ddd\u751a\u8fdc\u3002\u5982\u679c\u6a21\u578b\u80fd\u591f\u533a\u5206\u51fa\u54ea\u4e9b\u4e1c\u897f\u76f8\u4f3c\u548c\u54ea\u4e9b\u4e1c\u897f\u76f8\u8ddd\u751a\u8fdc\uff0c\u6211\u4eec\u5c31\u8fbe\u5230\u4e86\u81ea\u76d1\u7763\u5b66\u4e60\u7684\u76ee\u7684\u3002\u5982\u679c\u8fd9\u4e2a\u5d4c\u5165\u7a7a\u95f4\u80fd\u591f\u6355\u6349\u5230\u8fd9\u6837\u7684\u5c5e\u6027\uff0c\u90a3\u5b83\u5c31\u662f\u4e00\u4e2a\u5f88\u597d\u7684\u5d4c\u5165\u65b9\u5f0f\u3002\u56e0\u6b64\uff0c\u5728\u8bad\u7ec3\u65f6\uff0c\u6211\u4eec\u4f1a\u4f7f\u7528\u8fd9\u6837\u7684\u76ee\u6807\uff1a\u8f93\u5165\u4e00\u4e9b\u76f8\u4f3c\u7684\u6570\u636e\u70b9\u548c\u4e00\u4e9b\u4e0d\u76f8\u4f3c\u7684\u6570\u636e\u70b9\uff0c\u5c06\u8fd9\u4e9b\u6570\u636e\u5168\u90e8\u7f16\u7801\u5230\u5d4c\u5165\u7a7a\u95f4\uff0c\u7136\u540e\u5728\u5d4c\u5165\u7a7a\u95f4\u4e0a\u8fdb\u884c\u5bf9\u6bd4\u5b66\u4e60\u3002\u8fd9\u6837\u505a\u7684\u7ed3\u679c\u662f\uff0c\u6211\u4eec\u9700\u8981\u628a\u76f8\u4f3c\u6570\u636e\u7684\u5d4c\u5165\u53d8\u5f97\u5c3d\u53ef\u80fd\u63a5\u8fd1\uff0c\u4e0d\u76f8\u4f3c\u7684\u6570\u636e\u7684\u5d4c\u5165\u5c3d\u53ef\u80fd\u8fdc\u79bb\u3002\u8fd9\u662f\u4e00\u4e2a\u5927\u81f4\u7684\u539f\u5219\uff0c\u6bd4\u8f83\u5bb9\u6613\u7406\u89e3\u3002<\/span><\/section>\n

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\u4e00\u822c\u6765\u8bf4\uff0c\u5bf9\u4e8e\u6bcf\u4e2a\u9700\u8981\u8fdb\u884c\u5bf9\u6bd4\u5b66\u4e60\u7684\u6570\u636e\u70b9\uff0c\u6211\u4eec\u5b9a\u4e49\u4e00\u4e2a\u951a\u70b9<\/span>\uff08author\uff09<\/span>\u3002\u951a\u70b9\u7684\u610f\u601d\u662f\uff0c\u6211\u4eec\u53ef\u4ee5\u521b\u9020\u4e00\u4e9b\u6b63\u4f8b<\/span>\uff08positive example\uff09<\/span>\uff0c\u5c31\u662f\u4e00\u4e9b\u8ddf\u81ea\u5df1\u5f88\u76f8\u4f3c\u7684\u4e1c\u897f\uff0c\u8fd8\u6709\u4e00\u4e9b\u8d1f\u4f8b<\/span>\uff08negative example\uff09<\/span>\uff0c\u4e00\u4e9b\u8ddf\u81ea\u5df1\u5f88\u4e0d\u76f8\u4f3c\u7684\u4e1c\u897f\u3002\u6211\u4eec\u53ef\u4ee5\u901a\u8fc7\u628a\u5d4c\u5165\u7a7a\u95f4\u91cc\u9762\u76f8\u4f3c\u7684\u62c9\u8fd1\u3001\u4e0d\u76f8\u4f3c\u7684\u62c9\u8fdc\u6765\u505a\u81ea\u76d1\u7763\u5b66\u4e60\u3002\u5982\u679c\u6ca1\u6709\u6807\u7b7e\u76d1\u7763\u7684\u60c5\u51b5\u4e0b\u6211\u4eec\u600e\u4e48\u6837\u53bb\u627e\u54ea\u4e9b\u662f\u6b63\u4f8b\u54ea\u4e9b\u662f\u8d1f\u4f8b\u5462\uff1f\u4e00\u822c\u6765\u8bf4\uff0c\u505a\u8fd9\u79cd\u5bf9\u6bd4\u7684\u65b9\u5f0f\uff0c\u5c31\u662f\u6211\u53ef\u4ee5\u5bf9\u81ea\u5df1\u7684\u951a\u70b9\u505a\u4e00\u4e9b\u53d8\u6362\u3002\u6bd4\u5982\u56fe\u7247\u4e0d\u7ba1\u600e\u4e48\u65cb\u8f6c\u3001\u4f4d\u79fb\uff0c\u8fdb\u884c\u5404\u79cd\u5404\u6837\u7684\u53d8\u6362\uff0c\u8fd9\u4e2a\u56fe\u7247\u7684\u8bed\u4e49\u4e0d\u4f1a\u6709\u4ec0\u4e48\u533a\u522b\uff0c\u53d8\u6362\u4ee5\u540e\u6211\u4eec\u4f9d\u7136\u80fd\u591f\u8ba4\u51fa\u6765\u5b83\u662f\u540c\u4e00\u4e2a\u7269\u4f53\u3002\u6240\u4ee5\u7ecf\u8fc7\u53d8\u6362\u53ef\u4ee5\u521b\u9020\u4e00\u4e9b\u6b63\u4f8b\uff0c\u8fd9\u6837\u7684\u51c6\u5219\u5728\u56fe\u91cc\u9762\u4e5f\u7ecf\u5e38\u4f1a\u7528\u3002\u6bd4\u5982\u4e00\u4e9b\u56fe\u5bf9\u6bd4\u5b66\u4e60\u7684\u65b9\u6cd5\uff0c\u4f1a\u628a\u4e00\u4e2a\u8282\u70b9\u7684\u90bb\u5c45\u8fdb\u884c\u968f\u673a\u6e38\u8d70\u6765\u8fdb\u884c\u91c7\u6837\u3002\u7136\u540e\u628a\u5b83\u4f5c\u4e3a\u5bf9\u90bb\u5c45\u7684\u6270\u52a8\uff0c\u53ef\u4ee5\u5f97\u5230\u4e00\u4e9b\u7c7b\u4f3c\u7684\u90bb\u5c45\uff0c\u90a3\u8fd9\u4e9b\u5c31\u662f\u6211\u4eec\u7684\u6b63\u4f8b\u3002\u6709\u4e86\u8fd9\u4e2a\u4ee5\u540e\uff0c\u6211\u4eec\u5c31\u53ef\u4ee5\u5b9a\u4e49\u5404\u79cd\u5bf9\u6bd4\u5b66\u4e60\u7684\u635f\u5931\u51fd\u6570<\/span>\uff08\u4f8b\u5982 InfoNCE\uff09<\/span>\uff0c\u7136\u540e\u5728\u8fd9\u4e2aInfoNCE\u7684\u6846\u67b6\u4e0b\uff0c\u6211\u4eec\u4e0d\u5149\u662f\u8981\u627e\u6b63\u4f8b\uff0c\u8fd8\u5f97\u627e\u8d1f\u4f8b\uff0c\u600e\u4e48\u627e\u8d1f\u4f8b\u662f\u4e00\u4e2a\u95ee\u9898\u3002<\/span><\/section>\n

<\/span><\/section>\n
\u6211\u4eec\u60f3\u8c61\u4ec0\u4e48\u6837\u7684\u8d1f\u4f8b\u4f1a\u66f4\u6709\u7528\uff0c\u770b\u4e00\u4e0b\u53ef\u80fd\u4f1a\u51fa\u73b0\u4ec0\u4e48\u6837\u7684\u8d1f\u4f8b\u3002\u6211\u4eec\u53ef\u4ee5\u6709\u7b80\u5355\u8d1f\u4f8b<\/strong><\/span>\uff08easy negative\uff09<\/span>\uff0c\u4f8b\u5982\u56fe3\u4e2d\u6700\u5de6\u8fb9\u7684\u8d1f\u4f8b\u8ddf\u4e00\u5f00\u59cb\u7684\u56fe\u50cf\u5b8c\u5168\u4e0d\u540c\u3002\u5373\u4fbf\u8fd9\u4e2a\u6a21\u578b\u975e\u5e38\u7b28\u5b83\u4e5f\u80fd\u591f\u533a\u5206\u51fa\u5b83\u4eec\u4e0d\u540c\u3002\u7136\u540e\u4e2d\u95f4\u662f\u7a0d\u5fae\u96be\u4e00\u4e9b\u7684\u8d1f\u4f8b\uff0c\u8fd9\u4e9b\u8d1f\u4f8b\u5c31\u6bd4\u8f83\u6709\u8da3\uff0c\u6bd4\u5982\u8bf4\u5b83\u4eec\u53ef\u80fd\u90fd\u662f\u732b\u79d1\u52a8\u7269\uff0c\u4f46\u662f\u5b83\u4eec\u53ef\u80fd\u662f\u4e0d\u540c\u7684\u52a8\u7269\uff0c\u90a3\u8fd9\u4e9b\u5c31\u662f\u4e00\u4e9b\u56f0<\/strong>\u96be\u8d1f\u4f8b<\/strong><\/span>\uff08hard negative\uff09<\/span>\uff0c\u56e0\u4e3a\u6a21\u578b\u9700\u8981\u6709\u66f4\u591a\u7684\u77e5\u8bc6\u624d\u80fd\u53d1\u73b0\u5b83\u4eec\u662f\u4e0d\u540c\u7684\u4e1c\u897f\u3002\u7136\u540e\u6700\u53f3\u8fb9\u53eb\u505a\u4f2a\u8d1f\u4f8b<\/strong><\/span>\uff08false negative\uff09<\/span>\uff0c\u56e0\u4e3a\u5b83\u4eec\u5176\u5b9e\u662f\u540c\u4e00\u4e2a\u7269\u79cd\uff0c\u6240\u4ee5\u6a21\u578b\u6ca1\u6709\u5fc5\u8981\u628a\u5b83\u4eec\u5f53\u505a\u8d1f\u4f8b\u3002\u5982\u679c\u662f\u8d1f\u4f8b\u7684\u8bdd\uff0c\u901a\u8fc7InfoNCE\u8fd9\u4e9b\u8d1f\u4f8b\u4e4b\u95f4\u7684\u8ddd\u79bb\u5728\u5d4c\u5165\u7a7a\u95f4\u4e0a\u5f88\u8fdc\uff0c\u8fd9\u6ca1\u5fc5\u8981\uff0c\u56e0\u4e3a\u5b83\u4eec\u90fd\u662f\u540c\u4e00\u79cd\u3002\u6216\u8005\u8bf4\u5373\u4fbf\u6211\u4eec\u9700\u8981\u533a\u5206\uff0c\u4f46\u662f\u5b83\u4eec\u4e0d\u5e94\u8be5\u88ab\u62c9\u5f97\u975e\u5e38\u8fdc\u3002\u7136\u540e\u5728\u8fd9\u4e09\u79cd\u91cc\u9762\u4ec0\u4e48\u5bf9\u589e\u52a0\u6a21\u578b\u7684\u8868\u73b0\u80fd\u529b\u66f4\u6709\u6548\uff1f\u5f88\u663e\u7136\u5927\u5bb6\u90fd\u4f1a\u89c9\u5f97\u662f\u56f0\u96be\u8d1f\u4f8b\uff0c\u56e0\u4e3a\u5b83\u53ef\u80fd\u6bd4\u8f83\u50cf\uff0c\u4f46\u662f\u5e76\u4e0d\u5b8c\u5168\u4e00\u6837\u3002\u6240\u4ee5\u8fd9\u66f4\u80fd\u591f\u8003\u9a8c\u6a21\u578b\u7684\u8fa8\u8bc6\u80fd\u529b\u3002\u6240\u4ee5\u56f0\u96be\u8d1f\u4f8b\u662f\u6211\u4eec\u6bd4\u8f83\u5173\u5fc3\u7684\uff0c\u7136\u540e\u5b83\u53ef\u4ee5\u662f\u6709\u4e0d\u540c\u7684\u8868\u73b0\u5f62\u5f0f\u3002\u6bd4\u5982\u8bf4\u5b83\u4eec\u53ef\u4ee5\u662f\u80cc\u666f\u3001\u82b1\u7eb9\u6bd4\u8f83\u76f8\u4f3c\uff0c\u4f46\u5176\u5b9e\u662f\u4e0d\u540c\u7684\u52a8\u7269\u3002<\/span><\/section>\n

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\u56fe3 \u7b80\u5355\u8d1f\u4f8b\u3001\u56f0\u96be\u8d1f\u4f8b\u548c\u4f2a\u8d1f\u4f8b<\/span><\/section>\n

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    BatchSampler\uff1a\u7528\u90bb\u8fd1\u56fe\u6355\u6349\u76f8\u4f3c\u5173\u7cfb<\/strong><\/section>\n<\/li>\n<\/ul>\n

    <\/section>\n
    \u8fd9\u4e2a\u5de5\u4f5c\u662f\u8bb2\u8005\u7684\u5b66\u751f\u8fd8\u6709\u5510\u6770\u8001\u5e08\u7684\u5b66\u751f\u4e00\u8d77\u5408\u4f5c\u7684\u4e00\u4e2a\u9879\u76ee\uff0c\u7814\u7a76\u7684\u52a8\u673a\u662f\u7528\u90bb\u8fd1\u56fe<\/span>\uff08proximity graph\uff09<\/span>\u53bb\u6355\u6349\u76f8\u4f3c\u7684\u5173\u7cfb\u3002\u5c31\u662f\u8bf4\uff0c\u6709\u5404\u79cd\u5404\u6837\u7684\u6570\u636e\u70b9\uff0c\u5b83\u4eec\u53ef\u4ee5\u662f\u56fe\u4e5f\u53ef\u4ee5\u662f\u56fe\u50cf\u3001\u6587\u5b57\u6216\u8005\u5404\u79cd\u60f3\u8981\u505a\u5bf9\u6bd4\u5b66\u4e60\u7684\u6570\u636e\uff0c\u6211\u4eec\u628a\u5b83\u8f6c\u6362\u6210\u56fe\u7684\u5f62\u5f0f\uff0c\u6bcf\u4e2a\u8282\u70b9\u4ee3\u8868\u4e00\u4e2a\u6570\u636e\u70b9\uff0c\u8fd9\u4e9b\u6570\u636e\u70b9\u4e4b\u95f4\u7684\u8fde\u7ebf\u5c31\u4ee3\u8868\u4ed6\u4eec\u7684\u76f8\u4f3c\u5ea6\uff0c\u53ea\u6709\u5f53\u8fd9\u4e24\u4e2a\u8282\u70b9\u975e\u5e38\u76f8\u8fd1\u7684\u65f6\u5019\uff0c\u6211\u4eec\u624d\u4f1a\u628a\u4ed6\u4eec\u8fde\u8d77\u6765\u3002\u7136\u540e\u6211\u4eec\u901a\u8fc7\u8fd9\u4e2a\u56fe\u6765\u8ba8\u8bba\u600e\u6837\u91c7\u6837\u597d\u7684\u56f0\u96be\u8d1f\u4f8b\uff0c\u5c31\u662f\u90a3\u4e9b\u770b\u4e0a\u53bb\u5f88\u50cf\u4f46\u5176\u5b9e\u662f\u4e0d\u4e00\u6837\u7684\u8d1f\u4f8b\u3002\u8fd9\u4e2a\u56fe\u7684\u6784\u9020\u5176\u5b9e\u975e\u5e38\u7b80\u5355\uff0c\u9996\u5148\u6211\u4eec\u6709\u4e00\u4e2a\u6b63\u5728\u505a\u5bf9\u6bd4\u5b66\u4e60\u7684\u7f16\u7801\u5668\uff0c\u7136\u540e\u6211\u4eec\u628a\u8282\u70b9\u7f16\u7801\u5230\u8fd9\u4e2a\u5d4c\u5165\u7a7a\u95f4\uff0c\u7136\u540e\u505a\u6700\u8fd1\u90bb\u7b49\u64cd\u4f5c\u6784\u5efa\u90bb\u8fd1\u56fe\uff0c\u57fa\u4e8e\u8fd9\u4e2a\u56fe\u505a\u4e00\u4e9b\u64cd\u4f5c\u5bfb\u627e\u8d1f\u4f8b\u3002\u6211\u4eec\u7684\u65b9\u6cd5\u901a\u8fc7\u6709\u91cd\u542f\u7684\u968f\u673a\u6e38\u8d70<\/span>\uff08random walk with restart\uff09<\/span>\u6765\u63a2\u7d22\u5c40\u90e8\u90bb\u57df\uff0c\u5b83\u7684\u597d\u5904\u5728\u4e8e\u7075\u6d3b\u6027\u3002\u6211\u4eec\u53ef\u4ee5\u60f3\u8c61\u56f0\u96be\u8d1f\u4f8b\u4e00\u822c\u5728\u54ea\u513f\uff0c\u4ed6\u80af\u5b9a\u4e0d\u662f\u6700\u8fd1\u7684\u51e0\u4e2a\uff0c\u56e0\u4e3a\u6700\u8fd1\u7684\u53ef\u80fd\u662f\u540c\u7c7b\uff0c\u5373\u4f2a\u8d1f\u4f8b\u3002\u80af\u5b9a\u4e5f\u4e0d\u662f\u5f88\u8fdc\u7684\uff0c\u56e0\u4e3a\u8fd9\u4e9b\u70b9\u80af\u5b9a\u662f\u5b8c\u5168\u4e0d\u76f8\u5173\u7684\u7b80\u5355\u8d1f\u4f8b\u3002\u6211\u4eec\u7684\u65b9\u6cd5\u53ef\u4ee5\u901a\u8fc7\u8d85\u53c2\u6570\u63a7\u5236\u91cd\u542f\u6982\u7387\uff0c\u8bba\u6587\u53d1\u8868\u5728KDD2023\u4e0a\uff0c\u611f\u5174\u8da3\u7684\u8bfb\u8005\u53ef\u4ee5\u770b\u4e00\u4e0b\u3002<\/span><\/section>\n
    \n
    Yang Z, Huang T, Ding M, et al. BatchSampler: Sampling Mini-Batches for Contrastive Learning in Vision, Language, and Graphs[J]. arXiv preprint arXiv:2306.03355, 2023.<\/span><\/section>\n<\/blockquote>\n

    <\/section>\n
    <\/section>\n
    \u56fe4 BatchSampler\u7684\u57fa\u672c\u60f3\u6cd5<\/span><\/section>\n

    <\/section>\n
    \u6211\u4eec\u628a\u8fd9\u4e2a\u65b9\u6cd5\u53eb\u505aBatchSampler\uff0c\u5b83\u7684\u60f3\u6cd5\u5c31\u662f\u901a\u8fc7\u5728\u90bb\u8fd1\u56fe\u4e0a\u505a\u968f\u673a\u6e38\u8d70\u6765\u63a7\u5236\u91c7\u6837\u5230\u4e00\u4e9b\u5f88\u9ad8\u8d28\u91cf\u7684\u8d1f\u4f8b\u3002\u6211\u4eec\u6709\u4e00\u4e9b\u8d85\u53c2\u6570\uff0c\u9996\u5148\u5c31\u662f\u6700\u8fd1\u90bb\u7684\u6570\u91cf\uff0c\u8fd8\u6709\u5c31\u662f\u968f\u673a\u6e38\u8d70\u7684\u91cd\u542f\u6982\u7387\u3002\u53ef\u4ee5\u60f3\u8c61\uff0c\u5f53\u91cd\u542f\u6982\u7387\u662f1\u7684\u65f6\u5019\uff0c\u4e5f\u5c31\u662f\u6bcf\u8d70\u4e00\u6b65\u5c31\u4f1a\u56de\u5230\u539f\u70b9\uff0c\u90a3\u5176\u5b9e\u5c31\u662f\u627e\u4e00\u9636\u90bb\u5c45\uff0c\u5f97\u5230\u7684\u6837\u4f8b\u5f88\u96be\u3002\u53e6\u4e00\u4e2a\u6781\u7aef\u662f\u91cd\u542f\u6982\u7387\u4e3a0\uff0c\u90a3\u5c31\u662f\u7eaf\u7cb9\u7684\u968f\u673a\u6e38\u8d70\uff0c\u5f88\u5bb9\u6613\u8d70\u5230\u5f88\u8fdc\u7684\u5730\u65b9\uff0c\u83b7\u5f97\u5f88\u7b80\u5355\u7684\u6837\u4f8b\u3002\u901a\u8fc7\u8c03\u91cd\u542f\u6982\u7387\uff0c\u6211\u4eec\u5c31\u53ef\u4ee5\u627e\u5230\u60f3\u8981\u96be\u5ea6\u7684\u6837\u4f8b\uff0c\u8fd9\u79cd\u65b9\u6cd5\u53ef\u4ee5\u7528\u5728\u5404\u79cd\u6a21\u6001\u7684\u6570\u636e\u4e0a\u9762\u3002<\/span><\/section>\n

    <\/span><\/section>\n
      \n
    • \n
      \u7a00\u758f Transformer\uff1a\u901a\u8fc7\u56fe\u6269\u6563\u6765\u6269\u6563\u6ce8\u610f\u529b\uff0c\u964d\u4f4e\u6a21\u578b\u590d\u6742\u5ea6<\/strong><\/section>\n<\/li>\n<\/ul>\n

      <\/section>\n
      \u63a5\u4e0b\u6765\u6211\u4eec\u7528\u56fe\u7684\u89d2\u5ea6\u89e3\u91caTransformer\u67b6\u6784\u3002\u7531\u4e8eTransformer\u67b6\u6784\u7684\u590d\u6742\u5ea6\u4e3b\u8981\u6765\u81ea\u6ce8\u610f\u529b\u673a\u5236\uff0c\u5b83\u7684\u590d\u6742\u5ea6\u662fO<\/span> (token*token)<\/span>\uff0c\u8fd9\u7ed9Transformer\u5e94\u7528\u4e8e\u957f\u5e8f\u5217\u5e26\u6765\u4e86\u6311\u6218\u3002\u7a00\u758fTransformer\u53ef\u4ee5\u663e\u8457\u964d\u4f4e\u590d\u6742\u5ea6<\/strong>\uff0c\u6211\u4eec\u53ef\u4ee5\u5c06\u5176\u60f3\u8c61\u6210\u56fe\u7684\u5f62\u5f0f\uff0c\u8fd9\u79cd\u6ce8\u610f\u529b\u77e9\u9635\u5f88\u50cf\u56fe\u7684\u90bb\u63a5\u77e9\u9635\u3002\u7a00\u758fTransformer\u7684\u6838\u5fc3\u601d\u60f3\u662f\u7528\u5c40\u90e8\u6ce8\u610f\u529b\u548c\u968f\u673a\u6ce8\u610f\u529b\u53d6\u4ee3\u5168\u5c40\u6ce8\u610f\u529b<\/strong>\uff0c\u5c40\u90e8\u6ce8\u610f\u529b\u662f\u6307\u8bbe\u7f6e\u4e00\u4e2a\u5f88\u5c0f\u7684\u7a97\u53e3\uff0c\u800c\u968f\u673a\u6ce8\u610f\u529b\u662f\u6307\u968f\u673a\u627e\u4e00\u4e9b\u8fde\u63a5\u6765\u8ba1\u7b97\u3002<\/span><\/section>\n

      <\/span><\/section>\n
      <\/section>\n
      \u56fe5 \u7a00\u758fTransformer\u7684\u6ce8\u610f\u529b\u673a\u5236<\/span><\/section>\n

      <\/span><\/section>\n
      \u8fd9\u6837\u505a\u53ef\u4ee5\u8282\u7701\u65f6\u95f4\u548c\u7a7a\u95f4\uff0c\u4f46\u4e5f\u6709\u4e00\u4e9b\u6311\u6218\u3002\u5982\u679c\u6211\u7528\u5c40\u90e8\u7a97\u53e3\u7684\u8bdd\uff0c\u611f\u53d7\u91ce\u5c31\u4f1a\u964d\u4f4e\uff0c\u4e5f\u5c31\u662f\u6211\u6ca1\u6cd5\u76f4\u63a5\u5728\u6bcf\u4e00\u5c42\u901a\u8fc7\u7b97\u81ea\u6ce8\u610f\u529b\u673a\u5236\u6765\u589e\u52a0\u6a21\u578b\u7684\u8868\u8fbe\u80fd\u529b\u3002\u8fd8\u6709\u4e00\u4e2a\u95ee\u9898\u662f\u5b83\u53ef\u80fd\u4f1a\u5bf9\u5e8f\u5217\u7684\u6270\u52a8\u654f\u611f\uff0c\u4e0d\u591f\u9c81\u68d2\u3002\u4e3a\u6b64\uff0c\u6211\u4eec\u5e0c\u671b\u6a21\u578b\u80fd\u591f\u5177\u6709\u5168\u5c40\u6ce8\u610f\u529b\uff0c\u5e76\u4e14\u964d\u4f4e\u6a21\u578b\u590d\u6742\u5ea6\u3002\u5728AAAI\u7684\u5de5\u4f5c\u4e2d\uff0c\u6211\u4eec\u628a\u7a00\u758fTransformer\u5f53\u6210\u4e00\u4e2a\u7a00\u758f\u56fe\uff0c\u7136\u540e\u901a\u8fc7\u56fe\u6269\u6563\u7684\u65b9\u5f0f\u6765\u6269\u6563\u6ce8\u610f\u529b\u7684\u503c\uff0c\u4ece\u800c\u5728Transformer\u6a21\u578b\u4e0a\u63a2\u7d22\u7ed3\u6784\u3002\u8fd9\u6837\u505a\u7684\u597d\u5904\u662f\u5f88\u591a\u683c\u5b50\u662f\u901a\u8fc7\u6269\u6563\u7b97\u51fa\u6765\u7684\uff0c\u4e0d\u9700\u8981\u53cd\u5411\u4f20\u64ad\uff0c\u4ece\u800c\u80fd\u591f\u8282\u7701\u5f88\u591a\u8ba1\u7b97\u548c\u5b58\u50a8\u5f00\u9500\u3002<\/span><\/section>\n
      \n
      Feng A, Li I, Jiang Y, et al. Diffuser: efficient transformers with multi-hop attention diffusion for long sequences[C]\/\/Proceedings of the AAAI Conference on Artificial Intelligence. 2023, 37(11): 12772-12780.<\/span><\/section>\n<\/blockquote>\n
      <\/section>\n
      \u56fe6 diffuser\u7684\u6269\u6563\u65b9\u5f0f<\/span><\/section>\n

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      2. \u5fae\u8c03\u4e2d\u7684\u5173\u7cfb\u7ed3\u6784<\/strong><\/span><\/strong><\/strong><\/p>\n<\/section>\n

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      <\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/h3>\n


      <\/p>\n

        \n
      • \n
        GNN\u5b66\u4e60\u5206\u5b50\u56fe\u8868\u5f81<\/strong><\/section>\n<\/li>\n<\/ul>\n

        <\/section>\n
        \u5728\u505a\u5fae\u8c03\u7684\u65f6\u5019\u4e5f\u6709\u4e00\u4e9b\u6709\u610f\u601d\u7684\u6280\u5de7\uff0c\u8fd9\u91cc\u5173\u6ce8\u5206\u5b50\u7ed3\u6784\u7684\u57fa\u7840\u6a21\u578b\uff0c\u600e\u6837\u901a\u8fc7\u4e0d\u540c\u7684\u4efb\u52a1\u548c\u4efb\u52a1\u4e4b\u95f4\u7684\u76f8\u4f3c\u5ea6\u6765\u589e\u52a0\u6a21\u578b\u5fae\u8c03\u7684\u8868\u73b0\u3002\u8fd9\u91cc\u4ecb\u7ecd\u4e00\u7bc7\u6700\u8fd1\u53d1\u8868\u5728NeurIPS\u4e0a\u9762\u7684\u8bba\u6587\u3002\u5728\u5206\u5b50\u7ed3\u6784\u4e0a\uff0c\u6211\u4eec\u53ef\u4ee5\u6709\u5404\u79cd\u4e0b\u6e38\u4efb\u52a1\uff0c\u4f8b\u5982\u53ef\u6eb6\u6027\u3001\u6bd2\u6027\u6216\u6d3b\u6027\u9884\u6d4b\u7b49\uff0c\u8fd9\u662f\u4e00\u4e2a\u975e\u5e38\u9002\u5408\u57fa\u7840\u6a21\u578b\u7684\u573a\u666f\u3002\u57fa\u672c\u67b6\u6784\u5c31\u662f\u7528GNN\u53bb\u7f16\u7801\u4e00\u4e2a\u5206\u5b50\u8f93\u5165\uff0c\u5f97\u5230\u6bcf\u4e2a\u8282\u70b9<\/span>\uff08\u539f\u5b50\uff09<\/span>\u7684\u5d4c\u5165\uff0c\u7136\u540e\u901a\u8fc7\u805a\u5408\u6216\u8005\u6c60\u5316\u64cd\u4f5c\u5f97\u5230\u5206\u5b50\u7684\u5d4c\u5165\uff0c\u7136\u540e\u9884\u6d4b\u5404\u79cd\u5206\u5b50\u7ea7\u522b\u7684\u4e0b\u6e38\u4efb\u52a1\u3002<\/span><\/section>\n
        \n
        Huang T, Hu Z, Ying R. Learning to Group Auxiliary Datasets for Molecule[J]. arXiv preprint arXiv:2307.04052, 2023.<\/span><\/section>\n<\/blockquote>\n

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        <\/section>\n
        \u56fe7 \u5206\u5b50\u56fe\u795e\u7ecf\u7f51\u7edc\u7684\u8bad\u7ec3\u6b65\u9aa4<\/span><\/section>\n

        <\/span><\/section>\n
        \u56fe\u4e0a\u7684\u9884\u8bad\u7ec3\u4efb\u52a1\u901a\u5e38\u53ef\u4ee5\u662f\u751f\u6210\u5f0f\u4efb\u52a1\u4e5f\u53ef\u4ee5\u662f\u5bf9\u6bd4\u5f0f\u4efb\u52a1\uff0c\u4f46\u5bf9\u4e8e\u5206\u5b50\u7ed3\u6784\u6765\u8bf4\u4ecd\u7136\u662f\u4e00\u4e2a\u975e\u5e38\u6709\u6311\u6218\u6027\u7684\u8bdd\u9898\u3002\u9996\u5148\uff0c\u6709\u6807\u6ce8\u7684\u6570\u636e\u96c6\u5f88\u5c11\uff0c\u5f80\u5f80\u9700\u8981\u6602\u8d35\u7684\u9886\u57df\u77e5\u8bc6\u6765\u5efa\u7acb\u3002\u7136\u540e\u5f80\u5f80\u5b83\u4eec\u7528\u7684\u5206\u5b50\u4e5f\u90fd\u662f\u4e0d\u4e00\u6837\u7684\u3002\u4e00\u4e2a\u6bd4\u8f83\u81ea\u7136\u7684\u60f3\u6cd5\u662f\u8bf4\uff0c\u56e0\u4e3a\u8fd9\u4e9b\u4e0b\u6e38\u4efb\u52a1\u90fd\u975e\u5e38\u5c0f\uff0c\u6240\u4ee5\u6211\u4eec\u80fd\u4e0d\u80fd\u7ed3\u5408\u591a\u4e2a\u4e0b\u6e38\u4efb\u52a1\uff0c\u6bd4\u5982\u628a\u51e0\u4e2a\u6bd2\u6027\u76f8\u5173\u7684\u4e0b\u6e38\u4efb\u52a1\u548c\u6570\u636e\u653e\u5728\u4e00\u8d77\u6765\u505a\u5fae\u8c03\u3002\u901a\u8fc7\u4ece\u57fa\u7840\u6a21\u578b\u5fae\u8c03\u7684\u5f62\u5f0f\u53bb\u6539\u8fdb\u53ef\u80fd\u4f1a\u662f\u4e00\u4e2a\u66f4\u52a0\u6709\u6548\u7684\u7b56\u7565\u3002\u4f46\u8fd9\u6837\u505a\u6709\u4e00\u4e2a\u95ee\u9898\u5c31\u662f\u5f88\u5bb9\u6613\u51fa\u73b0\u8d1f\u8fc1\u79fb\u3002\u6211\u4eec\u89c2\u5bdf\u4e00\u4e2a\u6570\u636e\u96c6\u662f\u5426\u80fd\u5e2e\u52a9\u53e6\u4e00\u4e2a\u6570\u636e\u96c6\uff0c\u7ea2\u8272\u8868\u793a\u63d0\u5347\u5f88\u660e\u663e\u3002\u6211\u4eec\u53ef\u4ee5\u770b\u5230\u6709\u4e9b\u89c4\u5f8b\uff0c\u4f8b\u5982\u51e0\u4e4e\u6240\u6709\u6570\u636e\u96c6\u90fd\u53ef\u4ee5\u5e2e\u52a9FreeSolv\u6570\u636e\u96c6\u3002<\/span><\/section>\n

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        <\/section>\n
        \u56fe8 \u4e24\u4e2a\u6570\u636e\u96c6\u80fd\u5426\u4e92\u76f8\u5e2e\u52a9\u7684\u5b9e\u9a8c<\/span><\/section>\n

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        \u56fe9 \u4e09\u79cd\u878d\u5408\u4e0d\u540c\u6570\u636e\u7684\u65b9\u5f0f<\/span><\/section>\n

        <\/section>\n
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        3. \u63a8\u7406\u4e2d\u7684\u5173\u7cfb\u7ed3\u6784<\/strong><\/span><\/strong><\/strong><\/p>\n<\/section>\n

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