{"id":1069962,"date":"2022-11-24T22:59:00","date_gmt":"2022-11-25T06:59:00","guid":{"rendered":"https:\/\/newed.any0.dpdns.org\/en-us\/research\/?post_type=msr-blog-post&p=1069962"},"modified":"2024-09-25T03:16:54","modified_gmt":"2024-09-25T10:16:54","slug":"neurips-2022-creative-responsible-ai","status":"publish","type":"msr-blog-post","link":"https:\/\/newed.any0.dpdns.org\/en-us\/research\/articles\/neurips-2022-creative-responsible-ai\/","title":{"rendered":"NeurIPS 2022 \uff5c\u524d\u6cbf\u7814\u7a76\u63a2\u7d22\u65e2\u6709\u521b\u9020\u529b\u53c8\u8d1f\u8d23\u4efb\u7684\u4eba\u5de5\u667a\u80fd"},"content":{"rendered":"\n

\u7f16\u8005\u6309\uff1a\u4f5c\u4e3a\u76ee\u524d\u5168\u7403\u6700\u8d1f\u76db\u540d\u7684\u4eba\u5de5\u667a\u80fd\u76db\u4f1a\u4e4b\u4e00\uff0cNeurIPS (Conference on Neural Information Processing Systems) \u5728\u6bcf\u5e74\u5e74\u672b\u90fd\u662f\u8ba1\u7b97\u673a\u79d1\u5b66\u9886\u57df\u77a9\u76ee\u7684\u7126\u70b9\u3002\u88ab NeurIPS \u63a5\u6536\u7684\u8bba\u6587\uff0c\u4ee3\u8868\u7740\u5f53\u4eca\u795e\u7ecf\u79d1\u5b66\u548c\u4eba\u5de5\u667a\u80fd\u7814\u7a76\u7684\u6700\u9ad8\u6c34\u5e73\u3002\u4eca\u5e74\u7684 NeurIPS \u5927\u4f1a\u5c06\u4e8e11\u670828\u65e5\u81f312\u67089\u65e5\u4e3e\u884c\uff0c\u672c\u5c4a\u5927\u4f1a\u5171\u6536\u523010411\u7bc7\u6709\u6548\u6295\u7a3f\uff0c\u5176\u4e2d2672\u7bc7\u83b7\u63a5\u6536\uff0c\u6700\u7ec8\u63a5\u6536\u7387\u4e3a25.6%\u3002\u76f8\u6bd4\u53bb\u5e74\uff0c\u6295\u7a3f\u6570\u91cf\u7ee7\u7eed\u589e\u52a0\u3002<\/p>\n\n\n\n

\u5728\u672c\u5c4a\u5927\u4f1a\u4e2d\uff0c\u5fae\u8f6f\u4e9a\u6d32\u7814\u7a76\u9662\u4e5f\u6709\u8bf8\u591a\u8bba\u6587\u5165\u9009\uff0c\u5185\u5bb9\u4e3b\u8981\u6db5\u76d6\u4eba\u5de5\u667a\u80fd\u4e94\u5927\u70ed\u70b9\u8bdd\u9898\uff1a\u4eba\u5de5\u667a\u80fd\u8d70\u5411\u5927\u4e00\u7edf\u3001\u8ba1\u7b97\u673a\u7406\u8bba\u3001\u8d4b\u80fd\u4ea7\u4e1a\u754c\u7684\u4eba\u5de5\u667a\u80fd\u3001\u8d1f\u8d23\u4efb\u7684\u4eba\u5de5\u667a\u80fd\u3001\u4eba\u5de5\u667a\u80fd\u8d4b\u80fd\u5185\u5bb9\u4e0e\u8bbe\u8ba1\u751f\u6210\u3002\u524d\u4e24\u671f\u6211\u4eec\u5df2\u7ecf\u548c\u5927\u5bb6\u5206\u4eab\u4e86\u4eba\u5de5\u667a\u80fd\u5927\u4e00\u7edf\u3001\u7406\u8bba\u7814\u7a76\uff0c\u4e0e\u8d4b\u80fd\u4ea7\u4e1a\u754c\u7684\u4eba\u5de5\u667a\u80fd\u7684\u7814\u7a76\u6700\u524d\u6cbf\u3002\u90a3\u4e48\u4eba\u5de5\u667a\u80fd\u7684\u7814\u7a76\u5c06\u5728\u54ea\u4e9b\u65b9\u9762\u7ee7\u7eed\u4e0a\u63a8\u52a8\u5185\u5bb9\u4e0e\u8bbe\u8ba1\u751f\u6210\uff1f\u8d1f\u8d23\u4efb\u7684\u4eba\u5de5\u667a\u80fd\u9886\u57df\u53c8\u6709\u4e86\u4ec0\u4e48\u65b0\u7684\u53d1\u73b0\uff1f\u9605\u8bfb\u4eca\u5929\u7684\u6587\u7ae0\uff0c\u4f60\u6216\u8bb8\u80fd\u627e\u5230\u8fd9\u4e9b\u95ee\u9898\u7684\u7b54\u6848\uff01<\/p>\n\n\n\n

\n\n\n\n

\u4eba\u5de5\u667a\u80fd\u8d4b\u80fd\u5185\u5bb9\u4e0e\u8bbe\u8ba1\u751f\u6210<\/h2>\n\n\n\n

AI Empowered Content and Design Generation<\/h2>\n\n\n\n

BinauralGrad: \u9762\u5411\u53cc\u58f0\u9053\u97f3\u9891\u5408\u6210\u7684\u4e24\u9636\u6bb5\u53bb\u566a\u6269\u6563\u6982\u7387\u6a21\u578b<\/h3>\n\n\n\n
\"paper<\/figure>\n\n\n\n

\u8bba\u6587\u94fe\u63a5\uff1ahttps:\/\/arxiv.org\/abs\/2205.14807<\/p>\n\n\n\n

\u4ee3\u7801\u94fe\u63a5\uff1ahttps:\/\/github.com\/microsoft\/NeuralSpeech<\/p>\n\n\n\n

Demo\u94fe\u63a5\uff1ahttps:\/\/speechresearch.github.io\/binauralgrad\/<\/p>\n\n\n\n

\u7a7a\u95f4\u97f3\u9891\u53ef\u4ee5\u7ed9\u4eba\u8eab\u4e34\u5176\u5883\u7684\u4f53\u9a8c\uff0c\u5728\u6c89\u6d78\u5f0f\u6e38\u620f\u3001\u865a\u62df\u73b0\u5b9e\u548c\u5143\u5b87\u5b99\u4e2d\u90fd\u6709\u7740\u5f88\u5927\u7684\u5e94\u7528\u524d\u666f\uff0c\u5982\u4f55\u51c6\u786e\u7684\u751f\u6210\u9ad8\u8d28\u91cf\u7684\u7a7a\u95f4\u97f3\u9891\u662f\u4e00\u4e2a\u91cd\u8981\u7684\u7814\u7a76\u95ee\u9898\u3002\u56e0\u6b64\uff0c\u5fae\u8f6f\u4e9a\u6d32\u7814\u7a76\u9662\u7684\u7814\u7a76\u5458\u4eec\u63d0\u51fa\u4e86 BinauralGrad\uff0c\u4f7f\u7528\u5355\u58f0\u9053\u97f3\u9891\u4ee5\u53ca\u58f0\u6e90\u548c\u542c\u8005\u7684\u52a8\u6001\u76f8\u5bf9\u4f4d\u7f6e\u4f5c\u4e3a\u8f93\u5165\uff0c\u751f\u6210\u5177\u6709\u7a7a\u95f4\u611f\u7684\u53cc\u58f0\u9053\u97f3\u9891\u3002<\/p>\n\n\n\n

\u8003\u8651\u5230\u58f0\u97f3\u4ea7\u751f\u7684\u5177\u4f53\u7269\u7406\u8fc7\u7a0b\uff0c\u7814\u7a76\u5458\u4eec\u63d0\u51fa\u4e86\u4e00\u4e2a\u4e24\u9636\u6bb5\u6a21\u578b\uff0c\u6765\u66f4\u51c6\u786e\u7684\u5efa\u6a21\u7a7a\u95f4\u97f3\u9891\uff08\u5982\u56fe1\uff09\uff1a\u7b2c\u4e00\u9636\u6bb5\u6a21\u578b\u5efa\u6a21\u540c\u65f6\u5f71\u54cd\u5de6\u53f3\u58f0\u9053\u7684\u56e0\u7d20\uff0c\u6bd4\u5982\u623f\u95f4\u6df7\u54cd\u4ee5\u53ca\u58f0\u6e90\u548c\u542c\u8005\u7684\u8ddd\u79bb\uff1b\u7b2c\u4e8c\u9636\u6bb5\u6a21\u578b\u5efa\u6a21\u5de6\u53f3\u58f0\u9053\u4e0d\u540c\u7684\u90e8\u5206\uff0c\u6bd4\u5982\u5de6\u53f3\u8033\u79bb\u58f0\u6e90\u5fae\u5c0f\u7684\u8ddd\u79bb\u5dee\u548c\u89d2\u5ea6\u5dee\u3002\u5177\u4f53\u6765\u8bf4\uff0c\u7b2c\u4e00\u9636\u6bb5\u6a21\u578b\u7684\u4f18\u5316\u76ee\u6807\u662f\u53cc\u58f0\u9053\u97f3\u9891\u5de6\u53f3\u58f0\u9053\u7684\u5e73\u5747\u503c\uff0c\u8fd9\u4e2a\u5e73\u5747\u503c\u548c\u8f93\u5165\u7684\u5355\u58f0\u9053\u97f3\u9891\u7684\u5dee\u5f02\u53cd\u6620\u4e86\u540c\u65f6\u5f71\u54cd\u5de6\u53f3\u58f0\u9053\u7684\u56e0\u7d20\uff0c\u7b2c\u4e8c\u9636\u6bb5\u6a21\u578b\u7684\u4f18\u5316\u76ee\u6807\u662f\u53cc\u58f0\u9053\u97f3\u9891\u3002BinauralGrad \u7684\u4e24\u9636\u6bb5\u7ed3\u6784\u7b26\u5408\u7a7a\u95f4\u97f3\u9891\u7684\u4ea7\u751f\u8fc7\u7a0b\uff0c\u964d\u4f4e\u4e86\u6a21\u578b\u8bad\u7ec3\u96be\u5ea6\uff0c\u4ece\u800c\u63d0\u5347\u4e86\u751f\u6210\u7684\u7a7a\u95f4\u97f3\u9891\u7684\u4f4d\u7f6e\u51c6\u786e\u6027\u3002<\/p>\n\n\n\n

\"\u56fe1\uff1aBinauralGrad
\u56fe1\uff1aBinauralGrad \u7684\u4e24\u9636\u6bb5\u6a21\u578b<\/em><\/figcaption><\/figure>\n\n\n\n

<\/p>\n\n\n\n

\u5728\u7a7a\u95f4\u97f3\u9891\u6570\u636e\u96c6\u4e2d\u5bf9\u6bd4 BinauralGrad \u548c\u57fa\u7ebf\u7cfb\u7edf\uff0c\u57fa\u7ebf\u7cfb\u7edf\u5305\u62ec\u57fa\u4e8e\u4fe1\u53f7\u5904\u7406\uff08DSP\uff09\u7684\u7a7a\u95f4\u97f3\u9891\u5408\u6210\u7cfb\u7edf\u548c\u57fa\u4e8e\u795e\u7ecf\u7f51\u7edc\u7684\u7a7a\u95f4\u97f3\u9891\u5408\u6210\u7cfb\u7edf\uff08WaveNet\u3001WarpNet\uff09\uff0c\u5b9e\u9a8c\u8868\u660e\uff0c\u76f8\u6bd4\u4e8e\u4ee5\u524d\u7684\u7a7a\u95f4\u97f3\u9891\u751f\u6210\u5de5\u4f5c\uff0cBinauralGrad\u751f\u6210\u7684\u7ed3\u679c\uff1a1\uff09\u5728\u6ce2\u5f62\u4e0a\u8ddf\u771f\u5b9e\u7a7a\u95f4\u97f3\u9891\u8bef\u5dee\u66f4\u5c0f\uff08Wave L2\uff09\uff1b2\uff09\u5728\u611f\u77e5\u5206\u6570\u4e0a\u66f4\u9ad8\uff08PESQ\uff09\uff1b3\uff09\u5728\u9891\u8c31\u4e0a\u66f4\u76f8\u4f3c\uff08Amplitude L2\u3001Phase L2\u3001MRSTFT\uff09\u3002\u6d88\u878d\u5b9e\u9a8c\u548c\u4e3b\u89c2\u6d4b\u8bd5\u4e5f\u8fdb\u4e00\u6b65\u9a8c\u8bc1\u4e86\u4e24\u9636\u6bb5\u6a21\u578b\u7684\u6709\u6548\u6027\u548c BinauralGrad \u751f\u6210\u7684\u7a7a\u95f4\u97f3\u9891\u7684\u51c6\u786e\u6027\u3002<\/p>\n\n\n\n

\"\u88681\uff1aBinauralGrad
\u88681\uff1aBinauralGrad \u548c\u57fa\u7ebf\u7cfb\u7edf\u7684\u5bf9\u6bd4<\/em><\/figcaption><\/figure>\n\n\n\n

<\/p>\n\n\n\n

Museformer: \u7ed3\u5408\u7c97\/\u7ec6\u7c92\u5ea6\u6ce8\u610f\u529b\u673a\u5236\u7684\u97f3\u4e50\u751f\u6210\u6a21\u578b<\/h3>\n\n\n\n
\"paper<\/figure>\n\n\n\n

\u8bba\u6587\u94fe\u63a5\uff1ahttps:\/\/arxiv.org\/abs\/2210.10349<\/p>\n\n\n\n

\u4ee3\u7801\u94fe\u63a5\uff1ahttps:\/\/github.com\/microsoft\/muzic<\/p>\n\n\n\n

Demo\u94fe\u63a5\uff1ahttps:\/\/ai-muzic.github.io\/museformer\/<\/p>\n\n\n\n

\u8fd1\u5e74\u6765\uff0c\u97f3\u4e50\u751f\u6210\u53d7\u5230\u8d8a\u6765\u8d8a\u591a\u7684\u5173\u6ce8\uff0c\u5c06 Transformer \u5e94\u7528\u4e8e\u8be5\u4efb\u52a1\u4e5f\u6210\u4e3a\u65b0\u7684\u8d8b\u52bf\u3002\u7136\u800c\uff0c\u4e0d\u540c\u4e8e\u6587\u672c\u751f\u6210\uff0c\u97f3\u4e50\u751f\u6210\u9762\u4e34\u4e24\u5927\u6311\u6218\uff1a1\uff09\u957f\u5e8f\u5217\u5efa\u6a21\uff1a\u97f3\u4e50\u5e8f\u5217\u901a\u5e38\u5f88\u957f\uff08\u8d85\u8fc710000\u4e2atoken\uff09\uff0c\u4f20\u7edf\u5168\u6ce8\u610f\u529b\uff08full attention\uff09\u7684\u590d\u6742\u5ea6\u5f88\u9ad8\uff0c\u5f88\u96be\u5904\u7406\u5982\u6b64\u957f\u7684\u5e8f\u5217\u30022\uff09\u97f3\u4e50\u7ed3\u6784\u5efa\u6a21\uff1a\u97f3\u4e50\u5177\u6709\u91cd\u590d\u7ed3\u6784\uff0c\u901a\u5e38\u76f8\u9694\u4e00\u5b9a\u65f6\u95f4\u540e\u4f1a\u91cd\u590d\u4e4b\u524d\u7684\u4e50\u53e5\uff0c\u73b0\u6709\u7684\u957f\u5e8f\u5217 Transformer \u6a21\u578b\u5728\u5efa\u6a21\u8fd9\u79cd\u97f3\u4e50\u7ed3\u6784\u4e0a\u5b58\u5728\u4e0d\u8db3\u3002<\/p>\n\n\n\n

\u4e3a\u4e86\u66f4\u597d\u5730\u5efa\u6a21\u97f3\u4e50\u957f\u5e8f\u5217\uff0c\u672c\u6587\u63d0\u51fa\u4e86 Museformer\uff0c\u5b83\u5305\u542b\u4e00\u79cd\u65b0\u9896\u7684\u7ec6\u7c92\u5ea6\u548c\u7c97\u7c92\u5ea6\u76f8\u7ed3\u5408\u7684\u6ce8\u610f\u529b\u673a\u5236\uff0c\u66f4\u52a0\u5207\u5408\u97f3\u4e50\u5e8f\u5217\u7684\u7279\u70b9\u3002\u4e3a\u4e86\u9488\u5bf9\u6027\u5b66\u4e60\u91cd\u590d\u7ed3\u6784\uff0c\u7ec6\u7c92\u5ea6\u6ce8\u610f\u529b\u4e2d\u6bcf\u4e2a token \u90fd\u80fd\u76f4\u63a5\u770b\u5230\u7ed3\u6784\u76f8\u5173\u5c0f\u8282\uff08structure-related bar\uff09\u5185\u7684\u6240\u6709 token\uff0c\u4ece\u800c\u80fd\u591f\u7cbe\u786e\u5730\u6355\u6349\u7ed3\u6784\u5173\u7cfb\uff1b\u6b64\u5916\uff0c\u4e3a\u4e86\u4fdd\u7559\u5176\u4ed6\u91cd\u8981\u4fe1\u606f\uff0c\u5bf9\u4e8e\u5176\u4ed6\u5c0f\u8282\u4f7f\u7528\u7c97\u7c92\u5ea6\u6ce8\u610f\u529b\uff0c\u6bcf\u4e2a token \u53ea\u80fd\u770b\u5230\u805a\u5408\u4e86\u5c40\u90e8\u4fe1\u606f\u7684 summary token\u3002\u672c\u6587\u4f7f\u7528\u4e86\u76f8\u4f3c\u5ea6\u7edf\u8ba1\u6765\u786e\u5b9a\u7ed3\u6784\u76f8\u5173\u5c0f\u8282\uff0c\u7edf\u8ba1\u7ed3\u679c\u663e\u793a\u97f3\u4e50\u666e\u904d\u5177\u6709\u4ee54\u62164\u7684\u500d\u6570\u4e2a\u5c0f\u8282\u4e3a\u8ddd\u79bb\u8fdb\u884c\u91cd\u590d\u7684\u6a21\u5f0f\u3002\u901a\u8fc7\u5c06\u7ec6\u7c92\u5ea6\u548c\u7c97\u7c92\u5ea6\u6ce8\u610f\u529b\u76f8\u7ed3\u5408\uff0cMuseformer \u65e2\u80fd\u7cbe\u51c6\u7f16\u7801\u97f3\u4e50\u7ed3\u6784\u7684\u76f8\u5173\u4fe1\u606f\uff0c\u53c8\u80fd\u4ee5\u8f83\u5c0f\u4ee3\u4ef7\u4fdd\u7559\u5176\u4ed6\u91cd\u8981\u4fe1\u606f\u3002<\/p>\n\n\n\n

\"\u56fe2\uff1a\u7ec6\u7c92\u5ea6\u548c\u7c97\u7c92\u5ea6\u76f8\u7ed3\u5408\u7684\u6ce8\u610f\u529b\u673a\u5236\u7684\u4fe1\u606f\u4f20\u9012\u793a\u610f\u56fe\"
\u56fe2\uff1a\u7ec6\u7c92\u5ea6\u548c\u7c97\u7c92\u5ea6\u76f8\u7ed3\u5408\u7684\u6ce8\u610f\u529b\u673a\u5236\u7684\u4fe1\u606f\u4f20\u9012\u793a\u610f\u56fe<\/em><\/figcaption><\/figure>\n\n\n\n

<\/p>\n\n\n\n

\u5ba2\u89c2\u5b9e\u9a8c\u8bc1\u660e\uff0c\u76f8\u8f83\u4e8e\u51e0\u4e2a\u6709\u4ee3\u8868\u6027\u7684 Transformer \u884d\u751f\u6a21\u578b\uff0cMuseformer \u80fd\u591f\u53d6\u5f97\u6700\u597d\u7684\u56f0\u60d1\u5ea6\uff08perplexity\uff09\uff0c\u5e76\u4e14\u751f\u6210\u7684\u97f3\u4e50\u4e5f\u548c\u8bad\u7ec3\u96c6\u7684\u97f3\u4e50\u5177\u6709\u6700\u76f8\u4f3c\u7684\u7ed3\u6784\u7279\u5f81\u3002\u4e3b\u89c2\u5b9e\u9a8c\u8bc1\u660e\uff0cMuseformer \u80fd\u591f\u5728\u97f3\u4e50\u6027\u548c\u7ed3\u6784\u6027\u7b49\u5404\u9879\u6307\u6807\u4e0a\u53d6\u5f97\u6700\u9ad8\u5206\uff0c\u4e14\u603b\u4f53\u8bc4\u5206\u4e0a\u76f8\u8f83\u5176\u4ed6\u6a21\u578b\u6709\u7edf\u8ba1\u4e0a\u7684\u663e\u8457\u63d0\u5347\u3002\u6548\u7387\u65b9\u9762\uff0c\u76f8\u8f83\u4e8e\u5168\u6ce8\u610f\u529b\u6a21\u578b\uff0c\u572832GB\u663e\u5b58\u4e0b\uff0cMuseformer \u80fd\u591f\u7f16\u7801\u8d85\u8fc7\u51763\u500d\u957f\u5ea6\u7684\u5e8f\u5217\uff0c\u8bad\u7ec3\u901f\u5ea6\u5728\u957f\u5e8f\u5217\u573a\u666f\u4e0b\u4e5f\u63d0\u5347\u663e\u8457\u3002<\/p>\n\n\n\n

\"\u88682\uff1a\u5ba2\u89c2\u8bc4\u6d4b\u548c\u6d88\u878d\u5b9e\u9a8c\u7ed3\u679c\"
\u88682\uff1a\u5ba2\u89c2\u8bc4\u6d4b\u548c\u6d88\u878d\u5b9e\u9a8c\u7ed3\u679c<\/em><\/figcaption><\/figure>\n\n\n\n

<\/p>\n\n\n\n

\"\u88683\uff1a\u4e3b\u89c2\u6d4b\u8bc4\u7ed3\u679c\"
\u88683\uff1a\u4e3b\u89c2\u6d4b\u8bc4\u7ed3\u679c<\/em><\/figcaption><\/figure>\n\n\n\n

<\/p>\n\n\n\n

\u8d1f\u8d23\u4efb\u7684\u4eba\u5de5\u667a\u80fd<\/h2>\n\n\n\n

Responsible AI<\/h2>\n\n\n\n

FairVFL: \u516c\u5e73\u7684\u7eb5\u5411\u8054\u90a6\u5b66\u4e60<\/h3>\n\n\n\n
\"paper<\/figure>\n\n\n\n

\u8bba\u6587\u94fe\u63a5\uff1ahttps:\/\/newed.any0.dpdns.org\/en-us\/research\/publication\/fairvfl-a-fair-vertical-federated-learning-framework-with-contrastive-adversarial-learning\/<\/p>\n\n\n\n

\u4f20\u7edf\u7684\u673a\u5668\u5b66\u4e60\u9700\u8981\u4e2d\u5fc3\u5316\u6536\u96c6\u548c\u5b58\u50a8\u6570\u636e\uff0c\u5bb9\u6613\u9020\u6210\u5de8\u5927\u7684\u9690\u79c1\u98ce\u9669\u548c\u62c5\u5fe7\u3002\u8054\u90a6\u5b66\u4e60\u662f\u4e00\u79cd\u91cd\u8981\u7684\u9690\u79c1\u4fdd\u62a4\u673a\u5668\u5b66\u4e60\u6846\u67b6\uff0c\u53ef\u4ee5\u5728\u4e0d\u6536\u96c6\u6570\u636e\u7684\u524d\u63d0\u4e0b\u5b9e\u73b0\u6a21\u578b\u7684\u534f\u540c\u5b66\u4e60\uff0c\u662f\u673a\u5668\u5b66\u4e60\u7684\u4e00\u4e2a\u70ed\u95e8\u7814\u7a76\u9886\u57df\u3002\u5176\u4e2d\uff0c\u7eb5\u5411\u8054\u90a6\u5b66\u4e60\uff08vertical federated learning, VFL\uff09\u662f\u8054\u90a6\u5b66\u4e60\u7684\u4e00\u79cd\u91cd\u8981\u8303\u5f0f\uff0c\u53ef\u4ee5\u8054\u5408\u5b66\u4e60\u548c\u5229\u7528\u5206\u6563\u5728\u4e0d\u540c\u5e73\u53f0\u4e0a\u7684\u7279\u5f81\u3002\u7531\u4e8e\u73b0\u5b9e\u8bad\u7ec3\u6570\u636e\u4e2d\u901a\u5e38\u5305\u542b\u7740\u504f\u89c1\uff0c\u6240\u4ee5\u4ece\u6570\u636e\u4e2d\u5b66\u5230\u7684\u7eb5\u5411\u8054\u90a6\u5b66\u4e60\u6a21\u578b\u5f80\u5f80\u5bf9\u5177\u6709\u67d0\u4e9b\u654f\u611f\u5c5e\u6027\uff08\u5982\u6027\u522b\u548c\u5e74\u9f84\uff09\u7684\u7528\u6237\u7fa4\u4f53\u5e76\u4e0d\u516c\u5e73\u3002\u867d\u7136\u673a\u5668\u5b66\u4e60\u7684\u6a21\u578b\u516c\u5e73\u6027\u88ab\u5e7f\u6cdb\u5173\u6ce8\u548c\u7814\u7a76\uff0c\u5df2\u6709\u7684\u65b9\u6cd5\u90fd\u5047\u8bbe\u8bad\u7ec3\u6570\u636e\u548c\u654f\u611f\u5c5e\u6027\u4fe1\u606f\u662f\u5b58\u50a8\u5728\u4e00\u8d77\u7684\uff0c\u7136\u800c\u5728\u7eb5\u5411\u8054\u90a6\u5b66\u4e60\u7684\u573a\u666f\u4e0b\uff0c\u4e8c\u8005\u5f80\u5f80\u5206\u5e03\u5728\u4e0d\u540c\u5e73\u53f0\u3002<\/p>\n\n\n\n

\u4e3a\u4e86\u89e3\u51b3\u4e0a\u8ff0\u95ee\u9898\uff0c\u5fae\u8f6f\u4e9a\u6d32\u7814\u7a76\u9662\u7684\u7814\u7a76\u5458\u4eec\u5e0c\u671b\u5728\u6a21\u578b\u6027\u80fd\u3001\u7528\u6237\u9690\u79c1\u4ee5\u53ca\u516c\u5e73\u6027\u4e2d\u53d6\u5f97\u8f83\u597d\u7684\u5e73\u8861\uff0c\u56e0\u6b64\u63d0\u51fa\u4e86 FairVFL \u6846\u67b6\u3002\u8be5\u6846\u67b6\u7684\u6838\u5fc3\u662f\u57fa\u4e8e\u5206\u5e03\u5f0f\u7684\u7279\u5f81\u4ee5\u4fdd\u62a4\u9690\u79c1\u7684\u65b9\u5f0f\u5b66\u4e60\u516c\u5e73\u7684\u7edf\u4e00\u8868\u5f81\u3002FairVFL \u9996\u5148\u4f1a\u5f97\u5230\u5404\u4e2a\u6570\u636e\u7279\u5f81\u5b58\u50a8\u5e73\u53f0\u7684\u5c40\u90e8\u6570\u636e\u8868\u5f81\uff0c\u7136\u540e\u518d\u5c06\u8fd9\u4e9b\u5c40\u90e8\u6570\u636e\u8868\u5f81\u4e0a\u4f20\u5230\u53ef\u4fe1\u670d\u52a1\u5668\u4e0a\u8fdb\u884c\u9488\u5bf9\u76ee\u6807\u4efb\u52a1\u7684\u7edf\u4e00\u8868\u5f81\u7684\u805a\u5408\u3002\u4e3a\u4e86\u5b66\u4e60\u516c\u5e73\u7684\u7edf\u4e00\u8868\u5f81\uff0c\u7814\u7a76\u5458\u4eec\u5c06\u805a\u5408\u540e\u7684\u7edf\u4e00\u8868\u5f81\u53d1\u9001\u81f3\u5404\u4e2a\u5b58\u50a8\u654f\u611f\u5c5e\u6027\u7684\u5e73\u53f0\uff0c\u5e76\u5e94\u7528\u5bf9\u6297\u5b66\u4e60\u6765\u6d88\u9664\u4ece\u6709\u504f\u89c1\uff08biased\uff09\u7684\u6570\u636e\u4e2d\u5b66\u5230\u7684\u7edf\u4e00\u8868\u793a\u4e2d\u7684\u504f\u89c1\u3002\u6b64\u5916\uff0c\u4e3a\u4e86\u4fdd\u62a4\u7528\u6237\u9690\u79c1\uff0c\u7814\u7a76\u5458\u4eec\u8fd8\u5728\u5c06\u542b\u6709\u7528\u6237\u9690\u79c1\u4fe1\u606f\u7684\u7edf\u4e00\u8868\u5f81\u53d1\u9001\u5230\u5b58\u50a8\u654f\u611f\u5c5e\u6027\u7684\u5e73\u53f0\u4e4b\u524d\uff0c\u5229\u7528\u5bf9\u6bd4\u5bf9\u6297\u6027\u5b66\u4e60\u4ece\u7edf\u4e00\u8868\u5f81\u4e2d\u5220\u9664\u9690\u79c1\u4fe1\u606f\u3002\u5728\u4e09\u4e2a\u771f\u5b9e\u6570\u636e\u96c6\u4e0a\u7684\u5b9e\u9a8c\u9a8c\u8bc1\u4e86 FairVFL \u53ef\u4ee5\u5728\u4fdd\u62a4\u7528\u6237\u9690\u79c1\u7684\u540c\u65f6\u6709\u6548\u5730\u63d0\u9ad8\u6a21\u578b\u7684\u516c\u5e73\u6027\u3002<\/p>\n\n\n\n

\"\u56fe3\uff1aFairVFL
\u56fe3\uff1aFairVFL \u6846\u67b6<\/em><\/figcaption><\/figure>\n\n\n\n

<\/p>\n\n\n\n

\u57fa\u4e8e\u903b\u8f91\u89c4\u5219\u63a8\u7406\u7684\u81ea\u53ef\u89e3\u91ca\u6df1\u5ea6\u5b66\u4e60\u6846\u67b6<\/h3>\n\n\n\n
\"paper<\/figure>\n\n\n\n

\u8bba\u6587\u94fe\u63a5\uff1ahttps:\/\/newed.any0.dpdns.org\/en-us\/research\/publication\/self-explaining-deep-models-with-logic-rule-reasoning\/<\/p>\n\n\n\n

\u5982\u4f55\u4fdd\u8bc1\u89e3\u91ca\u548c\u4eba\u7c7b\u63a8\u7406\u8fc7\u7a0b\u4e00\u81f4\uff0c\u6216\u89e3\u91ca\u5bf9\u4eba\u7cbe\u5ea6\uff08Human Precision\uff09\u9ad8\uff0c\u662f\u53ef\u89e3\u91ca\u4eba\u5de5\u667a\u80fd\u9886\u57df\u91cd\u8981\u3001\u56f0\u96be\u5374\u7ecf\u5e38\u88ab\u5ffd\u89c6\u7684\u95ee\u9898\u3002Human Precision \u9ad8\u8981\u6c42\u4eba\u770b\u5230\u89e3\u91ca\u4ee5\u540e\uff0c\u8ba4\u4e3a\u4eba\u5de5\u667a\u80fd\u7684\u89e3\u91ca\u5408\u7406\uff0c\u80fd\u6839\u636e\u4eba\u5de5\u667a\u80fd\u7684\u89e3\u91ca\u81ea\u7136\u800c\u7136\u5730\u731c\u51fa\u6a21\u578b\u7684\u9884\u6d4b\u7ed3\u679c\u3002\u4f8b\u5982\uff0c\u5bf9\u4eba\u7cbe\u5ea6\u9ad8\u7684\u89e3\u91ca\u662f\u201cawesome, tasty => positive sentiment\u201d\uff08\u56e0\u4e3a\u53e5\u5b50\u542b\u6709 awesome \u548c tasty\uff0c\u6240\u4ee5\u662f\u6b63\u9762\u60c5\u611f\uff09\uff0c\u800c\u4e0d\u662f\u201cis, and => positive sentiment\u201d\u3002<\/p>\n\n\n\n

\u672c\u6587\u4e2d\u63d0\u51fa\u4e86\u8fbe\u5230\u9ad8\u5bf9\u4eba\u7cbe\u5ea6\u7684\u4e24\u4e2a\u6761\u4ef6\uff0c\u8bf4\u660e\u4e86\u903b\u8f91\u89c4\u5219\u5f62\u5f0f\u7684\u89e3\u91ca\u5929\u7136\u80fd\u591f\u6ee1\u8db3\u8fd9\u4e24\u4e2a\u6761\u4ef6\u3002\u57fa\u4e8e\u6b64\uff0c\u5fae\u8f6f\u4e9a\u6d32\u7814\u7a76\u9662\u7684\u7814\u7a76\u5458\u4eec\u63d0\u51fa\u4e86\u4e00\u4e2a\u57fa\u4e8e\u903b\u8f91\u89c4\u5219\u7684\u81ea\u53ef\u89e3\u91ca\u6df1\u5ea6\u5b66\u4e60\u6846\u67b6\u3002\u6b64\u6846\u67b6\u7684\u4f18\u70b9\u5982\u4e0b\uff1a<\/p>\n\n\n\n

1\uff09\u6a21\u578b\u65e0\u5173\uff1a\u80fd\u591f\u5c06\u7ed9\u5b9a\u7684\u6df1\u5ea6\u6a21\u578b\u5347\u7ea7\u6210\u4e3a\u4ee5\u903b\u8f91\u89c4\u5219\u63a8\u7406\u7684\u81ea\u53ef\u89e3\u91ca\u6df1\u5ea6\u6a21\u578b<\/p>\n\n\n\n

2\uff09\u5bf9\u4eba\u7cbe\u5ea6\u9ad8\uff1a\u7528\u6237\u5b9e\u9a8c\u8868\u660e\u672c\u6587\u63d0\u51fa\u7684\u81ea\u53ef\u89e3\u91ca\u6a21\u578b\u7684\u89e3\u91ca\u4e0e\u4eba\u63a8\u7406\u903b\u8f91\u76f8\u4f3c\u6027\uff0c\u76f8\u8f83\u4e8e\u73b0\u6709\u65b9\u6cd5\u6709\u663e\u8457\u63d0\u9ad8<\/p>\n\n\n\n

3\uff09\u9884\u6d4b\u51c6\u786e\u6027\u9ad8\uff1a\u5347\u7ea7\u540e\u7684\u81ea\u53ef\u89e3\u91ca\u6a21\u578b\u7684\u51c6\u786e\u6027\u548c\u539f\u6a21\u578b\u6ca1\u6709\u663e\u8457\u5dee\u522b<\/p>\n\n\n\n

4\uff09\u9c81\u68d2\u6027\u9ad8\uff1a\u5347\u7ea7\u540e\u7684\u81ea\u53ef\u89e3\u91ca\u6a21\u578b\u6bd4\u539f\u59cb\u9ed1\u76d2\u6a21\u578b\u5bf9\u566a\u97f3\u66f4\u52a0\u9c81\u68d2<\/p>\n\n\n\n

5\uff09\u5bb9\u6613\u878d\u5165\u7528\u6237\u53cd\u9988\uff1a\u4e0d\u9700\u8981\u91cd\u65b0\u8bad\u7ec3\u6a21\u578b\uff0c\u7528\u6237\u5c31\u80fd\u591f\u4fee\u6539\u6a21\u578b\u7684\u9884\u6d4b\u903b\u8f91<\/p>\n\n\n\n

\"\u56fe4\uff1a\u81ea\u53ef\u89e3\u91ca\u6df1\u5ea6\u6a21\u578b\u6846\u67b6\"
\u56fe4\uff1a\u81ea\u53ef\u89e3\u91ca\u6df1\u5ea6\u6a21\u578b\u6846\u67b6<\/em><\/figcaption><\/figure>\n\n\n\n

<\/p>\n\n\n\n

\u5982\u56fe4\u6240\u793a\uff0c\u5347\u7ea7\u540e\u7684\u81ea\u53ef\u89e3\u91ca\u6df1\u5ea6\u6a21\u578b\u7531\u4e24\u90e8\u5206\u7ec4\u6210\u3002\u5176\u4e2d\uff0c\u2460\u662f\u57fa\u4e8e\u6df1\u5ea6\u5b66\u4e60\u7684\u3002\u5b83\u6839\u636e\u6df1\u5ea6\u6a21\u578b\u5b66\u4e60\u7684\u8868\u8fbe\u5f0f\u8f93\u5165\u8868\u5f81\uff0c\u9009\u62e9\u4e00\u4e2a\u9002\u7528\u89c4\u5219\uff08\u4f8b\u5982”hurt AND black”\uff09\u3002\u8fd9\u4e00\u90e8\u5206\u7c7b\u4f3c\u4eba\u8111\u7684\u6f5c\u610f\u8bc6\u90e8\u5206\uff0c\u53ef\u4ee5\u5feb\u901f\u5173\u6ce8\u5230\u91cd\u8981\u4fe1\u606f\u3002\u2461\u7c7b\u4f3c\u4eba\u7c7b\u63a8\u7406\u90e8\u5206\uff0c\u6839\u636e\u89c4\u5219\u6765\u5224\u65ad\u7ed3\u679c\uff08\u4f8b\u5982\u201cnegative sentiment\u201d\uff09\u3002\u8fd9\u4e00\u90e8\u5206\u662f\u4e00\u4e2a\u53ef\u4ee5\u88ab\u4eba\u7c7b\u5b8c\u5168\u7406\u89e3\u548c\u63a7\u5236\u7684\u767d\u76d2\u5b50\uff0c\u60f3\u5f53\u4e8e\u5bf9\u7528\u6237\u53cb\u597d\u7684\u4ea4\u4e92\u754c\u9762\uff0c\u5141\u8bb8\u7528\u6237\u6839\u636e\u4ed6\u4eec\u7684\u77e5\u8bc6\u548c\u9700\u8981\u76f4\u63a5\u7f16\u8f91\u6a21\u578b\u903b\u8f91\uff0c\u4f8b\u5982\uff0c\u963b\u6b62\u6a21\u578b\u4f7f\u7528 “black”\u8fd9\u4e2a\u8bcd\u8fdb\u884c\u60c5\u611f\u9884\u6d4b\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"

\u7f16\u8005\u6309\uff1a\u4f5c\u4e3a\u76ee\u524d\u5168\u7403\u6700\u8d1f\u76db\u540d\u7684\u4eba\u5de5\u667a\u80fd\u76db\u4f1a\u4e4b\u4e00\uff0cNeurIPS (Conference on Neural Information Processing Systems) \u5728\u6bcf\u5e74\u5e74\u672b\u90fd\u662f\u8ba1\u7b97\u673a\u79d1\u5b66\u9886\u57df\u77a9\u76ee\u7684\u7126\u70b9\u3002\u88ab NeurIPS \u63a5\u6536\u7684\u8bba\u6587\uff0c\u4ee3\u8868\u7740\u5f53\u4eca\u795e\u7ecf\u79d1\u5b66\u548c\u4eba\u5de5\u667a\u80fd\u7814\u7a76\u7684\u6700\u9ad8\u6c34\u5e73\u3002\u4eca\u5e74\u7684 NeurIPS \u5927\u4f1a\u5c06\u4e8e11\u670828\u65e5\u81f312\u67089\u65e5\u4e3e\u884c\uff0c\u672c\u5c4a\u5927\u4f1a\u5171\u6536\u523010411\u7bc7\u6709\u6548\u6295\u7a3f\uff0c\u5176\u4e2d2672\u7bc7\u83b7\u63a5\u6536\uff0c\u6700\u7ec8\u63a5\u6536\u7387\u4e3a25.6%\u3002\u76f8\u6bd4\u53bb\u5e74\uff0c\u6295\u7a3f\u6570\u91cf\u7ee7\u7eed\u589e\u52a0\u3002 \u5728\u672c\u5c4a\u5927\u4f1a\u4e2d\uff0c\u5fae\u8f6f\u4e9a\u6d32\u7814\u7a76\u9662\u4e5f\u6709\u8bf8\u591a\u8bba\u6587\u5165\u9009\uff0c\u5185\u5bb9\u4e3b\u8981\u6db5\u76d6\u4eba\u5de5\u667a\u80fd\u4e94\u5927\u70ed\u70b9\u8bdd\u9898\uff1a\u4eba\u5de5\u667a\u80fd\u8d70\u5411\u5927\u4e00\u7edf\u3001\u8ba1\u7b97\u673a\u7406\u8bba\u3001\u8d4b\u80fd\u4ea7\u4e1a\u754c\u7684\u4eba\u5de5\u667a\u80fd\u3001\u8d1f\u8d23\u4efb\u7684\u4eba\u5de5\u667a\u80fd\u3001\u4eba\u5de5\u667a\u80fd\u8d4b\u80fd\u5185\u5bb9\u4e0e\u8bbe\u8ba1\u751f\u6210\u3002\u524d\u4e24\u671f\u6211\u4eec\u5df2\u7ecf\u548c\u5927\u5bb6\u5206\u4eab\u4e86\u4eba\u5de5\u667a\u80fd\u5927\u4e00\u7edf\u3001\u7406\u8bba\u7814\u7a76\uff0c\u4e0e\u8d4b\u80fd\u4ea7\u4e1a\u754c\u7684\u4eba\u5de5\u667a\u80fd\u7684\u7814\u7a76\u6700\u524d\u6cbf\u3002\u90a3\u4e48\u4eba\u5de5\u667a\u80fd\u7684\u7814\u7a76\u5c06\u5728\u54ea\u4e9b\u65b9\u9762\u7ee7\u7eed\u4e0a\u63a8\u52a8\u5185\u5bb9\u4e0e\u8bbe\u8ba1\u751f\u6210\uff1f\u8d1f\u8d23\u4efb\u7684\u4eba\u5de5\u667a\u80fd\u9886\u57df\u53c8\u6709\u4e86\u4ec0\u4e48\u65b0\u7684\u53d1\u73b0\uff1f\u9605\u8bfb\u4eca\u5929\u7684\u6587\u7ae0\uff0c\u4f60\u6216\u8bb8\u80fd\u627e\u5230\u8fd9\u4e9b\u95ee\u9898\u7684\u7b54\u6848\uff01 \u8bba\u6587\u94fe\u63a5\uff1ahttps:\/\/arxiv.org\/abs\/2205.14807 \u4ee3\u7801\u94fe\u63a5\uff1ahttps:\/\/github.com\/microsoft\/NeuralSpeech Demo\u94fe\u63a5\uff1ahttps:\/\/speechresearch.github.io\/binauralgrad\/ \u7a7a\u95f4\u97f3\u9891\u53ef\u4ee5\u7ed9\u4eba\u8eab\u4e34\u5176\u5883\u7684\u4f53\u9a8c\uff0c\u5728\u6c89\u6d78\u5f0f\u6e38\u620f\u3001\u865a\u62df\u73b0\u5b9e\u548c\u5143\u5b87\u5b99\u4e2d\u90fd\u6709\u7740\u5f88\u5927\u7684\u5e94\u7528\u524d\u666f\uff0c\u5982\u4f55\u51c6\u786e\u7684\u751f\u6210\u9ad8\u8d28\u91cf\u7684\u7a7a\u95f4\u97f3\u9891\u662f\u4e00\u4e2a\u91cd\u8981\u7684\u7814\u7a76\u95ee\u9898\u3002\u56e0\u6b64\uff0c\u5fae\u8f6f\u4e9a\u6d32\u7814\u7a76\u9662\u7684\u7814\u7a76\u5458\u4eec\u63d0\u51fa\u4e86 BinauralGrad\uff0c\u4f7f\u7528\u5355\u58f0\u9053\u97f3\u9891\u4ee5\u53ca\u58f0\u6e90\u548c\u542c\u8005\u7684\u52a8\u6001\u76f8\u5bf9\u4f4d\u7f6e\u4f5c\u4e3a\u8f93\u5165\uff0c\u751f\u6210\u5177\u6709\u7a7a\u95f4\u611f\u7684\u53cc\u58f0\u9053\u97f3\u9891\u3002 \u8003\u8651\u5230\u58f0\u97f3\u4ea7\u751f\u7684\u5177\u4f53\u7269\u7406\u8fc7\u7a0b\uff0c\u7814\u7a76\u5458\u4eec\u63d0\u51fa\u4e86\u4e00\u4e2a\u4e24\u9636\u6bb5\u6a21\u578b\uff0c\u6765\u66f4\u51c6\u786e\u7684\u5efa\u6a21\u7a7a\u95f4\u97f3\u9891\uff08\u5982\u56fe1\uff09\uff1a\u7b2c\u4e00\u9636\u6bb5\u6a21\u578b\u5efa\u6a21\u540c\u65f6\u5f71\u54cd\u5de6\u53f3\u58f0\u9053\u7684\u56e0\u7d20\uff0c\u6bd4\u5982\u623f\u95f4\u6df7\u54cd\u4ee5\u53ca\u58f0\u6e90\u548c\u542c\u8005\u7684\u8ddd\u79bb\uff1b\u7b2c\u4e8c\u9636\u6bb5\u6a21\u578b\u5efa\u6a21\u5de6\u53f3\u58f0\u9053\u4e0d\u540c\u7684\u90e8\u5206\uff0c\u6bd4\u5982\u5de6\u53f3\u8033\u79bb\u58f0\u6e90\u5fae\u5c0f\u7684\u8ddd\u79bb\u5dee\u548c\u89d2\u5ea6\u5dee\u3002\u5177\u4f53\u6765\u8bf4\uff0c\u7b2c\u4e00\u9636\u6bb5\u6a21\u578b\u7684\u4f18\u5316\u76ee\u6807\u662f\u53cc\u58f0\u9053\u97f3\u9891\u5de6\u53f3\u58f0\u9053\u7684\u5e73\u5747\u503c\uff0c\u8fd9\u4e2a\u5e73\u5747\u503c\u548c\u8f93\u5165\u7684\u5355\u58f0\u9053\u97f3\u9891\u7684\u5dee\u5f02\u53cd\u6620\u4e86\u540c\u65f6\u5f71\u54cd\u5de6\u53f3\u58f0\u9053\u7684\u56e0\u7d20\uff0c\u7b2c\u4e8c\u9636\u6bb5\u6a21\u578b\u7684\u4f18\u5316\u76ee\u6807\u662f\u53cc\u58f0\u9053\u97f3\u9891\u3002BinauralGrad \u7684\u4e24\u9636\u6bb5\u7ed3\u6784\u7b26\u5408\u7a7a\u95f4\u97f3\u9891\u7684\u4ea7\u751f\u8fc7\u7a0b\uff0c\u964d\u4f4e\u4e86\u6a21\u578b\u8bad\u7ec3\u96be\u5ea6\uff0c\u4ece\u800c\u63d0\u5347\u4e86\u751f\u6210\u7684\u7a7a\u95f4\u97f3\u9891\u7684\u4f4d\u7f6e\u51c6\u786e\u6027\u3002 \u5728\u7a7a\u95f4\u97f3\u9891\u6570\u636e\u96c6\u4e2d\u5bf9\u6bd4 BinauralGrad \u548c\u57fa\u7ebf\u7cfb\u7edf\uff0c\u57fa\u7ebf\u7cfb\u7edf\u5305\u62ec\u57fa\u4e8e\u4fe1\u53f7\u5904\u7406\uff08DSP\uff09\u7684\u7a7a\u95f4\u97f3\u9891\u5408\u6210\u7cfb\u7edf\u548c\u57fa\u4e8e\u795e\u7ecf\u7f51\u7edc\u7684\u7a7a\u95f4\u97f3\u9891\u5408\u6210\u7cfb\u7edf\uff08WaveNet\u3001WarpNet\uff09\uff0c\u5b9e\u9a8c\u8868\u660e\uff0c\u76f8\u6bd4\u4e8e\u4ee5\u524d\u7684\u7a7a\u95f4\u97f3\u9891\u751f\u6210\u5de5\u4f5c\uff0cBinauralGrad\u751f\u6210\u7684\u7ed3\u679c\uff1a1\uff09\u5728\u6ce2\u5f62\u4e0a\u8ddf\u771f\u5b9e\u7a7a\u95f4\u97f3\u9891\u8bef\u5dee\u66f4\u5c0f\uff08Wave L2\uff09\uff1b2\uff09\u5728\u611f\u77e5\u5206\u6570\u4e0a\u66f4\u9ad8\uff08PESQ\uff09\uff1b3\uff09\u5728\u9891\u8c31\u4e0a\u66f4\u76f8\u4f3c\uff08Amplitude L2\u3001Phase L2\u3001MRSTFT\uff09\u3002\u6d88\u878d\u5b9e\u9a8c\u548c\u4e3b\u89c2\u6d4b\u8bd5\u4e5f\u8fdb\u4e00\u6b65\u9a8c\u8bc1\u4e86\u4e24\u9636\u6bb5\u6a21\u578b\u7684\u6709\u6548\u6027\u548c BinauralGrad \u751f\u6210\u7684\u7a7a\u95f4\u97f3\u9891\u7684\u51c6\u786e\u6027\u3002 \u8bba\u6587\u94fe\u63a5\uff1ahttps:\/\/arxiv.org\/abs\/2210.10349 \u4ee3\u7801\u94fe\u63a5\uff1ahttps:\/\/github.com\/microsoft\/muzic Demo\u94fe\u63a5\uff1ahttps:\/\/ai-muzic.github.io\/museformer\/ \u8fd1\u5e74\u6765\uff0c\u97f3\u4e50\u751f\u6210\u53d7\u5230\u8d8a\u6765\u8d8a\u591a\u7684\u5173\u6ce8\uff0c\u5c06 Transformer \u5e94\u7528\u4e8e\u8be5\u4efb\u52a1\u4e5f\u6210\u4e3a\u65b0\u7684\u8d8b\u52bf\u3002\u7136\u800c\uff0c\u4e0d\u540c\u4e8e\u6587\u672c\u751f\u6210\uff0c\u97f3\u4e50\u751f\u6210\u9762\u4e34\u4e24\u5927\u6311\u6218\uff1a1\uff09\u957f\u5e8f\u5217\u5efa\u6a21\uff1a\u97f3\u4e50\u5e8f\u5217\u901a\u5e38\u5f88\u957f\uff08\u8d85\u8fc710000\u4e2atoken\uff09\uff0c\u4f20\u7edf\u5168\u6ce8\u610f\u529b\uff08full attention\uff09\u7684\u590d\u6742\u5ea6\u5f88\u9ad8\uff0c\u5f88\u96be\u5904\u7406\u5982\u6b64\u957f\u7684\u5e8f\u5217\u30022\uff09\u97f3\u4e50\u7ed3\u6784\u5efa\u6a21\uff1a\u97f3\u4e50\u5177\u6709\u91cd\u590d\u7ed3\u6784\uff0c\u901a\u5e38\u76f8\u9694\u4e00\u5b9a\u65f6\u95f4\u540e\u4f1a\u91cd\u590d\u4e4b\u524d\u7684\u4e50\u53e5\uff0c\u73b0\u6709\u7684\u957f\u5e8f\u5217 Transformer \u6a21\u578b\u5728\u5efa\u6a21\u8fd9\u79cd\u97f3\u4e50\u7ed3\u6784\u4e0a\u5b58\u5728\u4e0d\u8db3\u3002 \u4e3a\u4e86\u66f4\u597d\u5730\u5efa\u6a21\u97f3\u4e50\u957f\u5e8f\u5217\uff0c\u672c\u6587\u63d0\u51fa\u4e86 Museformer\uff0c\u5b83\u5305\u542b\u4e00\u79cd\u65b0\u9896\u7684\u7ec6\u7c92\u5ea6\u548c\u7c97\u7c92\u5ea6\u76f8\u7ed3\u5408\u7684\u6ce8\u610f\u529b\u673a\u5236\uff0c\u66f4\u52a0\u5207\u5408\u97f3\u4e50\u5e8f\u5217\u7684\u7279\u70b9\u3002\u4e3a\u4e86\u9488\u5bf9\u6027\u5b66\u4e60\u91cd\u590d\u7ed3\u6784\uff0c\u7ec6\u7c92\u5ea6\u6ce8\u610f\u529b\u4e2d\u6bcf\u4e2a token \u90fd\u80fd\u76f4\u63a5\u770b\u5230\u7ed3\u6784\u76f8\u5173\u5c0f\u8282\uff08structure-related bar\uff09\u5185\u7684\u6240\u6709 token\uff0c\u4ece\u800c\u80fd\u591f\u7cbe\u786e\u5730\u6355\u6349\u7ed3\u6784\u5173\u7cfb\uff1b\u6b64\u5916\uff0c\u4e3a\u4e86\u4fdd\u7559\u5176\u4ed6\u91cd\u8981\u4fe1\u606f\uff0c\u5bf9\u4e8e\u5176\u4ed6\u5c0f\u8282\u4f7f\u7528\u7c97\u7c92\u5ea6\u6ce8\u610f\u529b\uff0c\u6bcf\u4e2a token \u53ea\u80fd\u770b\u5230\u805a\u5408\u4e86\u5c40\u90e8\u4fe1\u606f\u7684 summary token\u3002\u672c\u6587\u4f7f\u7528\u4e86\u76f8\u4f3c\u5ea6\u7edf\u8ba1\u6765\u786e\u5b9a\u7ed3\u6784\u76f8\u5173\u5c0f\u8282\uff0c\u7edf\u8ba1\u7ed3\u679c\u663e\u793a\u97f3\u4e50\u666e\u904d\u5177\u6709\u4ee54\u62164\u7684\u500d\u6570\u4e2a\u5c0f\u8282\u4e3a\u8ddd\u79bb\u8fdb\u884c\u91cd\u590d\u7684\u6a21\u5f0f\u3002\u901a\u8fc7\u5c06\u7ec6\u7c92\u5ea6\u548c\u7c97\u7c92\u5ea6\u6ce8\u610f\u529b\u76f8\u7ed3\u5408\uff0cMuseformer \u65e2\u80fd\u7cbe\u51c6\u7f16\u7801\u97f3\u4e50\u7ed3\u6784\u7684\u76f8\u5173\u4fe1\u606f\uff0c\u53c8\u80fd\u4ee5\u8f83\u5c0f\u4ee3\u4ef7\u4fdd\u7559\u5176\u4ed6\u91cd\u8981\u4fe1\u606f\u3002 \u5ba2\u89c2\u5b9e\u9a8c\u8bc1\u660e\uff0c\u76f8\u8f83\u4e8e\u51e0\u4e2a\u6709\u4ee3\u8868\u6027\u7684 Transformer \u884d\u751f\u6a21\u578b\uff0cMuseformer 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