{"id":1360,"date":"2025-06-06T20:34:00","date_gmt":"2025-06-06T12:34:00","guid":{"rendered":"http:\/\/www.applicationsofllm.com\/?p=1360"},"modified":"2025-09-17T20:36:06","modified_gmt":"2025-09-17T12:36:06","slug":"%e8%b6%8597%e4%b8%87%ef%bc%9ayoshua-bengio%e6%88%90%e5%8e%86%e5%8f%b2%e8%a2%ab%e5%bc%95%e7%94%a8%e6%9c%80%e9%ab%98%e5%ad%a6%e8%80%85%ef%bc%8c%e4%bd%95%e6%81%ba%e6%98%8e%e8%bf%9b%e6%80%bb%e6%a6%9c","status":"publish","type":"post","link":"http:\/\/www.applicationsofllm.com\/index.php\/2025\/06\/06\/%e8%b6%8597%e4%b8%87%ef%bc%9ayoshua-bengio%e6%88%90%e5%8e%86%e5%8f%b2%e8%a2%ab%e5%bc%95%e7%94%a8%e6%9c%80%e9%ab%98%e5%ad%a6%e8%80%85%ef%bc%8c%e4%bd%95%e6%81%ba%e6%98%8e%e8%bf%9b%e6%80%bb%e6%a6%9c\/","title":{"rendered":"\u8d8597\u4e07\uff1aYoshua Bengio\u6210\u5386\u53f2\u88ab\u5f15\u7528\u6700\u9ad8\u5b66\u8005\uff0c\u4f55\u607a\u660e\u8fdb\u603b\u699c\u524d\u4e94"},"content":{"rendered":"\n

\u5168\u4e16\u754c\u3001\u6240\u6709\u79d1\u5b66\u9886\u57df\u90fd\u7b97\u4e0a\uff0c\u73b0\u5728\u6700\u70ed\u95e8\u7684\u65b9\u5411\u5c31\u662f AI \u4e86\u3002<\/p>\n\n\n\n

\u56fe\u7075\u5956\u5f97\u4e3b Yoshua Bengio\uff0c\u8fd1\u65e5\u6210\u4e3a\u4e86\u6709\u53f2\u4ee5\u6765\u88ab\u5f15\u7528\u6b21\u6570\u6700\u591a\u7684\u79d1\u5b66\u5bb6\uff1a\u4ed6\u7684\u603b\u88ab\u5f15\u7528\u91cf\u9ad8\u8fbe 973,655 \u6b21\uff0c\u8fd1\u4e94\u5e74\u5f15\u7528\u91cf\u8fbe\u5230 698,008 \u6b21\u3002<\/p>\n\n\n\n

\u8fd9\u9879\u7edf\u8ba1\u6765\u81ea AD Scientific Index\uff0c\u8fd9\u662f\u4e00\u4e2a\u5168\u7403\u6027\u7684\u5b66\u672f\u6392\u540d\u548c\u5206\u6790\u5e73\u53f0\uff0c\u65e8\u5728\u8bc4\u4f30\u548c\u5c55\u793a\u79d1\u5b66\u5bb6\u3001\u7814\u7a76\u4eba\u5458\u4ee5\u53ca\u5b66\u672f\u673a\u6784\u7684\u79d1\u7814\u8868\u73b0\u548c\u5f71\u54cd\u529b\u3002<\/p>\n\n\n\n

\u53c2\u4e0e\u8fd9\u6b21\u6392\u540d\u7684\u5171\u8ba1 2,626,749 \u540d\u79d1\u5b66\u5bb6\uff0c\u5206\u5e03\u5728 221 \u4e2a\u56fd\u5bb6\u548c\u5730\u533a\uff0c\u96b6\u5c5e 24,576 \u5bb6\u673a\u6784\u3002\u6392\u540d\u4f9d\u636e\u603b\u5f15\u7528\u91cf\u548c\u8fd1\u4e94\u5e74\u7684\u5f15\u7528\u6307\u6570\u8fdb\u884c\u6392\u5e8f\u3002\u503c\u5f97\u4e00\u63d0\u7684\u662f\uff0c\u8fd9\u6b21\u6392\u540d\u4e0d\u6b62 AI \u9886\u57df\uff0c\u8fd8\u5305\u62ec\u533b\u5b66\u7b49 13 \u4e2a\u4e3b\u8981\u5b66\u79d1\u548c 221 \u4e2a\u5b66\u672f\u7ec6\u5206\u5b66\u79d1\u3002<\/p>\n\n\n\n

\u6211\u4eec\u518d\u56de\u5230 Bengio \u7684\u7814\u7a76\u3002\u4ece\u5b66\u672f\u4e3b\u9875\u6765\u770b\uff0cBengio  2014 \u5e74\u63d0\u51fa\u7684 \u300c\u751f\u6210\u5bf9\u6297\u7f51\u7edc\uff08Generative Adversarial Nets\uff09\u300d \u5f15\u7528\u91cf\u5df2\u7a81\u7834 10 \u4e07\u6b21\uff0c\u751a\u81f3\u8d85\u8fc7\u4e86\u4ed6\u4e0e Yann LeCun \u548c Geoffrey Hinton \u5408\u8457\u7684\u7ecf\u5178\u8bba\u6587 \u300cDeep Learning\u300d\uff0c\u4e0d\u8fc7\uff0c\u540e\u8005\u7684\u5f15\u7528\u91cf\u540c\u6837\u4e5f\u8d85\u8fc7 10 \u4e07\u6b21\u3002<\/p>\n\n\n\n

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      \u6765\u6e90\uff1ahttps:\/\/scholar.google.com\/citations?user=kukA0LcAAAAJ&hl=en<\/sup><\/p>\n\n\n\n

\u6392\u540d\u7b2c\u4e8c\u7684\u662f 2024 \u8bfa\u5956\u5f97\u4e3b\u3001AI \u9886\u57df\u5148\u9a71 Geoffrey Hinton\uff0c\u4ed6\u7684\u603b\u88ab\u5f15\u7528\u91cf\u4e3a 95 \u4e07 +\uff0c\u8fd1\u4e94\u5e74\u5f15\u7528\u91cf\u4e3a 57 \u4e07 +\u3002<\/p>\n\n\n\n

\u5176\u4e2d\uff0cHinton \u548c\u5b66\u751f Alex Krizhevsky\u3001Ilya Sutskever \u5408\u4f5c\u7684 AlexNet \u5f15\u7528\u91cf\u9ad8\u8fbe 18 \u4e07 +\u3002\u8fd9\u7bc7\u8bba\u6587\u53d1\u8868\u4e8e 2012 \u5e74\uff0c\u5176\u5728 ImageNet \u5927\u89c4\u6a21\u89c6\u89c9\u8bc6\u522b\u6311\u6218\u8d5b\uff08ILSVRC 2012\uff09\u4e0a\u53d6\u5f97\u538b\u5012\u6027\u80dc\u5229\uff0c\u6807\u5fd7\u7740\u6df1\u5ea6\u5b66\u4e60\u5728\u8ba1\u7b97\u673a\u89c6\u89c9\u9886\u57df\u7684\u7a81\u7834\u6027\u8fdb\u5c55\u3002<\/p>\n\n\n\n

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\u6765\u6e90\uff1ahttps:\/\/scholar.google.com\/citations?view_op=list_works&hl=en&hl=en&user=JicYPdAAAAAJ<\/sup><\/p>\n\n\n\n

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\u4f55\u607a\u660e\u6392\u540d\u7b2c\u4e94\uff0c\u5355\u7bc7\u8bba\u6587\u300aDeep Residual Learning for Image Recognition\u300b\u5f15\u7528\u91cf\u8d85\u8fc7 29 \u4e07\u6b21\u3002\u8fd9\u7bc7\u8bba\u6587\u63d0\u51fa\u7684 ResNet \u6210\u4e3a\u73b0\u4ee3\u6df1\u5ea6\u5b66\u4e60\u7684\u57fa\u7840\uff0c\u51e0\u4e4e\u6240\u6709\u89c6\u89c9\u6a21\u578b\u90fd\u501f\u9274\u4e86\u6b8b\u5dee\u601d\u60f3\u3002<\/p>\n\n\n\n

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      \u6765\u6e90\uff1ahttps:\/\/scholar.google.com\/citations?user=DhtAFkwAAAAJ&hl=en<\/sup><\/p>\n\n\n\n

\u503c\u5f97\u4e00\u63d0\u7684\u662f\uff0c\u4eca\u5e74\u56db\u6708\uff0c\u636e Nature \u7edf\u8ba1 ResNet \u662f 21 \u4e16\u7eaa\u88ab\u5f15\u91cf\u6700\u591a\u8bba\u6587\uff0c\u5355\u7bc7 29 \u4e07\u6b21\uff0c\u7ecf\u5178\u8bba\u6587\u53ef\u4ee5\u8bf4\u662f\u5f53\u4e4b\u65e0\u6127\u4e86\u3002\u53ef\u53c2\u8003\u300c\u300d\u3002<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

\u5728 top 10 \u540d\u5355\u4e2d\uff0c\u6211\u4eec\u4e5f\u770b\u5230\u4e86 Ilya Sutskever \u7684\u8eab\u5f71\uff0c\u603b\u5f15\u7528\u91cf 67 \u4e07 +\uff0c\u6392\u540d\u7b2c 7\uff0c\u5355\u7bc7\u8bba\u6587\u6700\u9ad8\u5f15\u7528\u91cf 18 \u4e07 + \u3002<\/p>\n\n\n\n

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      \u6765\u6e90\uff1ahttps:\/\/scholar.google.com\/citations?user=x04W_mMAAAAJ&hl=en<\/sup><\/p>\n\n\n\n

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