{"id":51702,"date":"2024-07-22T22:39:17","date_gmt":"2024-07-22T14:39:17","guid":{"rendered":"https:\/\/swarma.org\/?p=51702"},"modified":"2024-07-22T22:39:17","modified_gmt":"2024-07-22T14:39:17","slug":"nat-commun-%e9%80%9f%e9%80%92%ef%bc%9a%e7%bd%91%e7%bb%9c%e5%b1%9e%e6%80%a7%e5%86%b3%e5%ae%9a%e7%a5%9e%e7%bb%8f%e7%bd%91%e7%bb%9c%e6%a8%a1%e5%9e%8b%e6%80%a7%e8%83%bd","status":"publish","type":"post","link":"https:\/\/swarma.org\/?p=51702","title":{"rendered":"Nat. Commun.\u901f\u9012\uff1a\u7f51\u7edc\u5c5e\u6027\u51b3\u5b9a\u795e\u7ecf\u7f51\u7edc\u6a21\u578b\u6027\u80fd"},"content":{"rendered":"
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\u5728\u96c6\u667a\u4ff1\u4e50\u90e8\u300cAI by complexity<\/a>\u300d\u8bfb\u4e66\u4f1a\uff0c\u8c37\u6b4c\u8f6f\u4ef6\u5de5\u7a0b\u5e08\u3001\u7f8e\u56fd\u4f26\u65af\u52d2\u7406\u5de5 (RPI) \u8ba1\u7b97\u673a\u535a\u58eb\u848b\u6625\u6052\u4ecb\u7ecd\u4e86\u53d1\u8868\u4e8e Nature Communications<\/em> \u7684\u8fd9\u9879\u6700\u65b0\u7814\u7a76\uff0c\u6b22\u8fce\u611f\u5174\u8da3\u7684\u670b\u53cb\u52a0\u5165\u8bfb\u4e66\u4f1a\u89c2\u770b\u89c6\u9891\u56de\u653e\u3002<\/span><\/strong><\/span><\/strong><\/section>\n
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\u6211\u4eec\u5e94\u7528\u9ad8\u5efa\u559c<\/span>\u6559\u6388\u63d0\u51fa\u7684\u7f51\u7edc\u97e7\u6027\u6307\u6807\u5230\u8fd9\u4e2a\u5fae\u5206\u65b9\u7a0b\uff0c\u53ef\u4ee5\u786e\u5b9a\u4e00\u4e2a\u5bf9\u5e94\u4e8e\u795e\u7ecf\u7f51\u7edc\u6a21\u578b\u8bad\u7ec3\u7684\u97e7\u6027\u6307\u6807\u3002\u5bf9\u4e8e\u795e\u7ecf\u5143\u523a\u6fc0\u51fd\u6570\u662fReLu\u7684\u795e\u7ecf\u7f51\u7edc\uff0c\u6211\u4eec\u53d1\u73b0\u5f53\u6a21\u578b\u6536\u655b\u65f6\uff0c\u6a21\u578b\u5bf9\u5e94\u7684<\/span>\u03b2<\/span>eff<\/sub>=0\u3002\u6211\u4eec\u5c06\u8fd9\u4e00\u53d1\u73b0\u5e94\u7528\u5230\u6a21\u578b\u7b5b\u9009\u95ee\u9898\u3002<\/span><\/section>\n

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\u76ee\u524d\u6211\u4eec\u5206\u6790\u7684\u6a21\u578b\u8fd8\u4ec5\u4ec5\u5c40\u9650\u4e8eReLU\u795e\u7ecf\u7f51\u7edc\uff0c\u80fd\u5426\u5c06\u5176\u5e94\u7528\u5230\u4e00\u822c\u6027\u7684\u795e\u7ecf\u7f51\u7edc\u6a21\u578b\u5462\uff0c\u6bd4\u5982\u6269\u5c55\u5230RNN\u3001Transformer\uff1f\u6211\u4eec\u662f\u5426\u53ef\u4ee5\u66f4\u6709\u6548\u7684\u786e\u5b9a\u6a21\u578b\u8bad\u7ec3\u8fc7\u7a0b\u4e2d\u6a21\u578b\u53c2\u6570\u4e4b\u95f4\u7684\u76f8\u4e92\u5f71\u54cd\uff0c\u4ece\u800c\u5efa\u7acb\u66f4\u4e3a\u7cbe\u786e\u7684\u4ea4\u4e92\u6a21\u578b\u5462\uff1f\u6bd4\u5982\u786e\u5b9a\u66f4\u4e3a\u51c6\u786e\u7684f\u548cg\uff0c\u5e76\u5229\u7528\u5e76\u884c\u5316\u7684\u65b9\u5f0f\u5feb\u901f\u6c42\u89e3\u6a21\u578b\u7684\u7a33\u6001\u89e3\uff1f\u6216\u8bb8\u4ece\u6a21\u578b\u8bad\u7ec3\u7684\u7c7b\u65f6\u95f4\u5e8f\u5217\u4e2d\u76f4\u63a5\u5efa\u7acb\u6a21\u578b\u8bad\u7ec3\u6240\u5bf9\u5e94\u7684\u52a8\u529b\u5b66\u65b9\u7a0b\uff0c\u4e43\u81f3\u590d\u6742\u7f51\u7edc\u56fe\u8868\u793a\u3002\u5bf9\u4e8e\u5229\u7528\u7f51\u7edc\u62d3\u6251\u6307\u6807\u4f18\u5316\u6a21\u578b\u8bbe\u8ba1\u4e0e\u641c\u7d22\uff0c\u6211\u4eec\u53ef\u5426\u63d0\u51fa\u4e00\u79cd\u6709\u6548\u7684\u795e\u7ecf\u7f51\u7edc\u7684\u590d\u6742\u7f51\u7edc\u56fe\u8868\u793a\uff0c\u4ee5\u6b64\u8fdb\u884c\u589e\u91cf\u5f0f\u7684\u81ea\u52a8\u5316\u641c\u7d22\uff0c\u6bd4\u5982\u7f51\u7edc\u91cd\u8fde<\/span> (rewiring) <\/span>\uff1f<\/span><\/section>\n

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\u6838\u5fc3\u53c2\u8003\u6587\u732e<\/strong><\/p>\n<\/section>\n<\/section>\n<\/section>\n

Gao, J., Barzel, B. & Barab\u00e1si, A.-L. Universal resilience patterns in complex networks. Nature 530, 307\u2013312 (2016).<\/span><\/p>\n

Lillicrap, T. P., Santoro, A., Marris, L., Akerman, C. J. & Hinton, G. Backpropagation and the brain. Nat. Rev. Neurosci. 1\u201312 (2020).<\/span><\/p>\n

Chandrashekaran, A. & Lane, I. R. Speeding up hyper-parameter optimization by extrapolation of learning curves using previous builds. In Joint European Conference on Machine Learning and Knowledge Discovery in Databases, 477\u2013492 (Springer, 2017).<\/span><\/p>\n

Nguyen, C., Hassner, T., Seeger, M. & Archambeau, C. LEEP: A new measure to evaluate transferability of learned representations. In International Conference on Machine Learning, 7294\u20137305 (PMLR, 2020).<\/span><\/p>\n

Mellor, J., Turner, J., Storkey, A. & Crowley, E. J. Neural architecture search without training. In International Conference on Machine Learning, 7588\u20137598 (PMLR, 2021).<\/span><\/p>\n

Dong, X., Liu, L., Musial, K. & Gabrys, B. NATS-Bench: Benchmarking nas algorithms for architecture topology and size. IEEE Transac. Pattern Anal. Machine Intelligence 7, 3634\u20133646 (2021).<\/span><\/section>\n

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\u4f5c\u8005\u7b80\u4ecb<\/strong><\/p>\n<\/section>\n<\/section>\n<\/section>\n

\u848b\u6625\u6052<\/span><\/strong>\uff0c\u8c37\u6b4c\u8f6f\u4ef6\u5de5\u7a0b\u5e08\uff0c\u7f8e\u56fd\u4f26\u65af\u52d2\u7406\u5de5 (RPI) \u8ba1\u7b97\u673a\u535a\u58eb\u3002\u4e3b\u8981\u7814\u7a76\u5174\u8da3\uff1a\u4eba\u5de5\u667a\u80fd\u4e0e\u7f51\u7edc\u79d1\u5b66\u3001\u795e\u7ecf\u7f51\u7edc\u5b66\u4e60\u8fc7\u7a0b\u7684\u62d3\u6251\u6f14\u5316\u4e0e\u7f51\u7edc\u52a8\u529b\u5b66\u3001\u4f18\u5316\u7406\u8bba\u3002<\/span><\/section>\n

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\u626b\u63cf\u4e0b\u65b9\u4e8c\u7ef4\u7801\u89c2\u770b\u8bfb\u4e66\u4f1a\u56de\u653e\u89c6\u9891<\/span><\/section>\n
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\u6591\u56fe\u5730\u5740\uff1ahttps:\/\/pattern.swarma.org\/study_group_issue\/719<\/span><\/section>\n

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AI By Complexity\u8bfb\u4e66\u4f1a\u62db\u52df\u4e2d<\/strong>
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\u5927\u6a21\u578b\u3001\u591a\u6a21\u6001\u3001\u591a\u667a\u80fd\u4f53\u5c42\u51fa\u4e0d\u7a77\uff0c\u5404\u79cd\u5404\u6837\u7684\u795e\u7ecf\u7f51\u7edc\u53d8\u4f53\u5728AI\u5927\u821e\u53f0\u5404\u663e\u8eab\u624b\u3002\u590d\u6742\u7cfb\u7edf\u9886\u57df\u5bf9\u4e8e\u6d8c\u73b0\u3001\u5c42\u7ea7\u3001\u9c81\u68d2\u6027\u3001\u975e\u7ebf\u6027\u3001\u6f14\u5316\u7b49\u95ee\u9898\u7684\u63a2\u7d22\u4e5f\u5728\u6301\u7eed\u63a8\u8fdb\u3002\u800c\u4f18\u79c0\u7684AI\u7cfb\u7edf\u3001\u521b\u65b0\u6027\u7684\u795e\u7ecf\u7f51\u7edc\uff0c\u5f80\u5f80\u5728\u4e00\u5b9a\u7a0b\u5ea6\u4e0a\u5177\u5907\u4f18\u79c0\u590d\u6742\u7cfb\u7edf\u7684\u7279\u5f81\u3002\u56e0\u6b64\uff0c\u53d1\u5c55\u4e2d\u7684\u590d\u6742\u7cfb\u7edf\u7406\u8bba\u65b9\u6cd5\u5982\u4f55\u6307\u5bfc\u672a\u6765AI\u7684\u8bbe\u8ba1\uff0c\u6b63\u5728\u6210\u4e3a\u5907\u53d7\u5173\u6ce8\u7684\u95ee\u9898\u3002<\/span><\/p>\n


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\u96c6\u667a\u4ff1\u4e50\u90e8\u8054\u5408\u52a0\u5229\u798f\u5c3c\u4e9a\u5927\u5b66\u5723\u8fed\u6208\u5206\u6821\u52a9\u7406\u6559\u6388\u5c24\u4ea6\u5e84\u3001\u5317\u4eac\u5e08\u8303\u5927\u5b66\u526f\u6559\u6388\u5218\u5b87\u3001\u5317\u4eac\u5e08\u8303\u5927\u5b66\u7cfb\u7edf\u79d1\u5b66\u5b66\u9662\u5728\u8bfb\u535a\u58eb\u5f20\u7ae0\u3001\u725f\u7267\u4e91\u548c\u5728\u8bfb\u7855\u58eb\u6768\u660e\u54f2\u3001\u6e05\u534e\u5927\u5b66\u5728\u8bfb\u535a\u58eb\u7530\u6d0b\u5171\u540c\u53d1\u8d77\u300cAI By Complexity\u300d\u8bfb\u4e66\u4f1a<\/a>\uff0c\u63a2\u7a76\u5982\u4f55\u5ea6\u91cf\u590d\u6742\u7cfb\u7edf\u7684\u201c\u597d\u574f\u201d\uff1f\u5982\u4f55\u7406\u89e3\u590d\u6742\u7cfb\u7edf\u7684\u673a\u5236\uff1f\u8fd9\u4e9b\u7406\u89e3\u662f\u5426\u53ef\u4ee5\u542f\u53d1\u6211\u4eec\u8bbe\u8ba1\u66f4\u597d\u7684AI\u6a21\u578b\uff1f\u5728\u672c\u8d28\u4e0a\u5e2e\u52a9\u6211\u4eec\u8bbe\u8ba1\u66f4\u597d\u7684AI\u7cfb\u7edf\u3002\u8bfb\u4e66\u4f1a\u4e8e6\u670810\u65e5\u5f00\u59cb\uff0c\u6bcf\u5468\u4e00\u665a\u4e0a20:00-22:00\u4e3e\u529e\u3002\u6b22\u8fce\u4ece\u4e8b\u76f8\u5173\u9886\u57df\u7814\u7a76\u3001\u5bf9AI+Complexity\u611f\u5174\u8da3\u7684\u670b\u53cb\u4eec\u62a5\u540d\u8bfb\u4e66\u4f1a\u4ea4\u6d41\uff01<\/span><\/p>\n


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<\/span><\/span><\/a><\/p>\n

\u8be6\u60c5\u8bf7\u89c1\uff1a<\/span>
<\/section>\n
AI by Complexity \u8bfb\u4e66\u4f1a\u542f\u52a8\uff1a\u590d\u6742\u6027\u600e\u6837\u91cf\u5316\u548c\u9a71\u52a8\u4e0b\u4e00\u4ee3AI\u7cfb\u7edf<\/span><\/a>
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\u63a8\u8350\u9605\u8bfb<\/span><\/strong><\/strong><\/strong><\/section>\n
1. <\/strong>Nature Physics\u8bc4\u8bba\uff1a\u590d\u6742\u7cfb\u7edf\u7684\u5185\u5728\u7b80\u5355\u6027<\/a><\/strong><\/span><\/section>\n
2. <\/strong>\u5168\u65b0\u590d\u6742\u7f51\u7edc\u793e\u56e2\u5212\u5206Local Search\u7b97\u6cd5\uff0c\u6548\u7387\u8d85\u7ecf\u5178\u6700\u5feb\u7b97\u6cd55\u500d\uff01<\/strong><\/a><\/section>\n
3.<\/strong> Nat. Rev. Phys.\u91cd\u78c5\u7efc\u8ff0\uff1a\u590d\u6742\u7f51\u7edc\u7684\u9c81\u68d2\u6027\u548c\u97e7\u6027<\/a><\/strong><\/strong><\/span><\/section>\n
4. <\/strong><\/span>\u5f20\u6c5f\uff1a\u7b2c\u4e09\u4ee3\u4eba\u5de5\u667a\u80fd\u6280\u672f\u57fa\u7840\u2014\u2014\u4ece\u53ef\u5fae\u5206\u7f16\u7a0b\u5230\u56e0\u679c\u63a8\u7406 | \u96c6\u667a\u5b66\u56ed\u5168\u65b0\u8bfe\u7a0b<\/a><\/strong><\/strong><\/span><\/section>\n
5.<\/strong> \u96c6\u667aVIP\u96c6\u5408\u5566\uff01\u4e91\u5357\u7ebf\u4e0b\u7814\u4fee\u8425\uff0c\u4e0e\u96c6\u667a\u521b\u59cb\u4eba\u4e00\u8d77\u6500\u767b\u201c\u590d\u6742\u6027\u9636\u68af\u201d<\/a><\/strong><\/strong><\/strong><\/strong><\/span><\/strong><\/strong><\/section>\n
6. <\/strong>\u52a0\u5165\u96c6\u667a\uff0c\u4e00\u8d77\u590d\u6742\uff01<\/strong><\/span><\/a><\/section>\n


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\u70b9\u51fb\u201c\u9605\u8bfb\u539f\u6587\u201d\uff0c\u62a5\u540d\u8bfb\u4e66\u4f1a<\/strong><\/span><\/strong><\/span><\/strong><\/p>\n

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