{"id":39485,"date":"2022-12-26T21:07:11","date_gmt":"2022-12-26T13:07:11","guid":{"rendered":"https:\/\/swarma.org\/?p=39485"},"modified":"2022-12-26T21:07:11","modified_gmt":"2022-12-26T13:07:11","slug":"%e5%91%a8%e4%b8%89%e6%b4%bb%e5%8a%a8%e4%b8%a82022%e5%9b%a0%e6%9e%9c%e5%90%af%e5%8f%91%e7%9a%84%e7%a8%b3%e5%ae%9a%e5%ad%a6%e4%b9%a0%e5%b9%b4%e5%ba%a6%e7%a0%94%e7%a9%b6%e8%bf%9b%e5%b1%95%e7%b3%bb","status":"publish","type":"post","link":"https:\/\/swarma.org\/?p=39485","title":{"rendered":"\u5468\u4e09\u6d3b\u52a8\u4e282022\u56e0\u679c\u542f\u53d1\u7684\u7a33\u5b9a\u5b66\u4e60\u5e74\u5ea6\u7814\u7a76\u8fdb\u5c55\u7cfb\u5217\u62a5\u544a"},"content":{"rendered":"
\n
\n
\n
<\/section>\n<\/section>\n
\n
\n
\n
\n
\n
\n

20<\/strong>22<\/strong><\/p>\n<\/section>\n<\/section>\n<\/section>\n

\n
\n
\n
\n
\n


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

\n
\n

\u7a33\u5b9a\u5b66\u4e60\u5e74\u5ea6\u7814\u7a76\u8fdb\u5c55<\/strong><\/p>\n<\/section>\n<\/section>\n

\n
\n

\u4e00\u5e74\u4e00\u5ea6\u7684\u300a\u7a33\u5b9a\u5b66\u4e60\u5e74\u5ea6\u7814\u7a76\u8fdb\u5c55\u300b\u7cfb\u5217\u62a5\u544a\u5c06\u4e8e2022\u5e7412\u670828\u65e519:00-22:00\u7ebf\u4e0a\u53ec\u5f00\uff0c9\u4f4d\u5b66\u8005\u5c06\u91cd\u70b9\u4ecb\u7ecd\u7a33\u5b9a\u5b66\u4e60\u7406\u8bba\u548c\u65b9\u6cd5\u7684\u5e74\u5ea6\u8fdb\u5c55\uff0c\u6b22\u8fce\u611f\u5174\u8da3\u7684\u5e08\u53cb\u62a5\u540d\u89c2\u770b\u76f4\u64ad\uff0c\u62a5\u540d\u65b9\u9762\u89c1\u6587\u672b\u3002<\/p>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n

\n
\n

2022<\/strong><\/p>\n<\/section>\n<\/section>\n

\n
\n
\n
\n

\u4f1a\u8bae\u5b89\u6392<\/strong><\/p>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n

\n
\n
\n
<\/svg><\/section>\n<\/section>\n<\/section>\n
\n
\n

\u7a33\u5b9a\u5b66\u4e60\u5e74\u5ea6\u7814\u7a76\u8fdb\u5c55<\/p>\n<\/section>\n<\/section>\n

\n
\n
<\/svg><\/section>\n<\/section>\n<\/section>\n<\/section>\n
\n
\n
\n\n\n\n\n\n\n\n\n\n\n
\n
\n
\n
\n

12\u670828\u65e5 \u661f\u671f\u4e09<\/strong><\/p>\n

19:00-22:00<\/strong><\/p>\n<\/section>\n<\/section>\n

\n
<\/svg><\/section>\n<\/section>\n<\/section>\n<\/td>\n<\/tr>\n
\n\n
\n
\n

19:00<\/p>\n

–<\/p>\n

19:20<\/p>\n<\/section>\n<\/section>\n<\/td>\n

\n
\n
\n

\u7a33\u5b9a\u5b66\u4e60\u5e74\u5ea6\u8fdb\u5c55\u56de\u987e<\/strong><\/p>\n

\u5d14   \u9e4f \u6e05\u534e\u5927\u5b66\u8ba1\u7b97\u673a\u7cfb\u957f\u8058\u526f\u6559\u6388\uff0c\u667a\u6e90\u9752\u5e74\u79d1\u5b66\u5bb6<\/p>\n<\/section>\n<\/section>\n<\/td>\n<\/tr>\n

\n
\n

19:20<\/p>\n

–<\/p>\n

19:40<\/p>\n<\/section>\n<\/td>\n

\n
\n

\u7a00\u758f\u7ea6\u675f\u4e0b\u7684\u7a33\u5b9a\u5b66\u4e60\u65b9\u6cd5<\/strong><\/p>\n

\u79b9   \u542b \u6e05\u534e\u5927\u5b66\u8ba1\u7b97\u673a\u7cfb\u535a\u58eb\u751f<\/p>\n<\/section>\n<\/td>\n<\/tr>\n

\n
\n

19:40<\/p>\n

–<\/p>\n

20:00<\/p>\n<\/section>\n<\/td>\n

\n
\n

\u4e00\u79cd\u9488\u5bf9\u5206\u5e03\u504f\u79fb\u9c81\u68d2\u7684\u901a\u7528\u6837\u672c\u52a0\u6743\u65b9\u6cd5<\/strong><\/p>\n

\u6797   \u52c7 \u9999\u6e2f\u79d1\u6280\u5927\u5b66\u535a\u58eb\u751f<\/p>\n<\/section>\n<\/td>\n<\/tr>\n

\n
\n

20:00<\/p>\n

–<\/p>\n

20:20<\/p>\n<\/section>\n<\/td>\n

\n
\n

\u901a\u8fc7\u968f\u673a\u6837\u672c\u52a0\u6743\u5b9e\u73b0\u534f\u53d8\u91cf\u504f\u79fb\u6cdb\u5316<\/strong><\/p>\n

\u4f55   \u73a5 \u6e05\u534e\u5927\u5b66\u8ba1\u7b97\u673a\u7cfb\u535a\u58eb\u751f<\/p>\n<\/section>\n<\/td>\n<\/tr>\n

\n
\n

20:20<\/span><\/p>\n

–<\/span><\/p>\n

20:40<\/p>\n<\/section>\n<\/td>\n

\n
\n

\u5f02\u8d28\u6570\u636e\u4e0b\u7684\u6a21\u578b\u5206\u5e03\u7a33\u5b9a\u6027\u4fdd\u8bc1<\/strong><\/p>\n

\u5218\u5bb6\u7855 \u6e05\u534e\u5927\u5b66\u8ba1\u7b97\u673a\u7cfb\u535a\u58eb\u751f<\/p>\n<\/section>\n<\/td>\n<\/tr>\n

\n
\n

20:40<\/p>\n

–<\/p>\n

21:00<\/p>\n<\/section>\n<\/td>\n

\n
\n

NLP\u6a21\u578b\u865a\u5047\u76f8\u5173\u6027\u7814\u7a76<\/strong><\/p>\n

\u5f20   \u5947 \u590d\u65e6\u5927\u5b66\u8ba1\u7b97\u79d1\u5b66\u6280\u672f\u5b66\u9662\u6559\u6388<\/p>\n<\/section>\n<\/td>\n<\/tr>\n

\n
\n

21:00<\/p>\n

–<\/p>\n

21:20<\/p>\n<\/section>\n<\/td>\n

\n
\n

Causal Factorization Machine for Robust Recommendation<\/strong><\/p>\n

\u9648\u701a\u96c4 Meta\u7814\u7a76\u5458<\/p>\n<\/section>\n<\/td>\n<\/tr>\n

\n
\n

21:20<\/p>\n

–<\/p>\n

21:40<\/p>\n<\/section>\n<\/td>\n

\n
\n

\u56fe\u795e\u7ecf\u7f51\u7edc\u7684\u5206\u5e03\u5916\u6cdb\u5316\u521d\u63a2<\/strong><\/p>\n

\u738b   \u5578 \u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66\u526f\u6559\u6388<\/p>\n<\/section>\n<\/td>\n<\/tr>\n

\n
\n
\n

21:40<\/p>\n

–<\/p>\n

22:00<\/p>\n<\/section>\n<\/section>\n<\/td>\n

\n
\n
\n

NICO\u7ade\u8d5b2022: \u5927\u89c4\u6a21\u5206\u5e03\u5916\u6cdb\u5316\u56fe\u50cf\u8bc6\u522b<\/strong><\/span><\/p>\n

\u5f20\u5174\u7487 \u6e05\u534e\u5927\u5b66\u8ba1\u7b97\u673a\u7cfb\u535a\u58eb\u751f<\/p>\n<\/section>\n<\/section>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/section>\n<\/section>\n

\n
\n

2022<\/strong><\/p>\n<\/section>\n<\/section>\n

\n
\n
\n
\n

\u4f1a\u8bae\u5609\u5bbe<\/strong><\/p>\n<\/section>\n<\/section>\n

\n
\n
\n
<\/svg><\/section>\n<\/section>\n<\/section>\n
\n
\n

\u6309\u62a5\u544a\u987a\u5e8f<\/p>\n<\/section>\n<\/section>\n

\n
\n
<\/svg><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n
\n
\n
\n
<\/section>\n<\/section>\n<\/section>\n
\n
\n
\n
\n
\n
<\/svg><\/section>\n<\/section>\n<\/section>\n<\/section>\n
\n
\n

\u5d14   \u9e4f<\/strong><\/p>\n<\/section>\n<\/section>\n<\/section>\n

\n

\u5d14\u9e4f\uff0c\u6e05\u534e\u5927\u5b66\u8ba1\u7b97\u673a\u7cfb\u957f\u8058\u526f\u6559\u6388\uff0c\u535a\u58eb\u751f\u5bfc\u5e08\u3002\u7814\u7a76\u5174\u8da3\u805a\u7126\u4e8e\u56e0\u679c\u542f\u53d1\u7684\u7a33\u5b9a\u5b66\u4e60\u4e0e\u51b3\u7b56\u4f18\u5316\u3001\u5927\u89c4\u6a21\u7f51\u7edc\u8868\u5f81\u5b66\u4e60\u7b49\u3002\u5728\u6570\u636e\u6316\u6398\u53ca\u4eba\u5de5\u667a\u80fd\u9886\u57df\u9876\u7ea7\u56fd\u9645\u4f1a\u8bae\u53d1\u8868\u8bba\u6587100\u4f59\u7bc7\uff0c\u5148\u540e7\u6b21\u83b7\u5f97\u56fd\u9645\u4f1a\u8bae\u6216\u671f\u520a\u8bba\u6587\u5956\u3002\u62c5\u4efbIEEE TKDE\u3001ACM TOMM\u3001ACM TIST\u3001IEEE TBD\u7b49\u56fd\u9645\u671f\u520a\u7f16\u59d4\u3002\u66fe\u83b7\u5f97\u56fd\u5bb6\u81ea\u7136\u79d1\u5b66\u4e8c\u7b49\u5956\u3001\u6559\u80b2\u90e8\u81ea\u7136\u79d1\u5b66\u4e00\u7b49\u5956\u3001CCF-IEEE CS\u9752\u5e74\u79d1\u5b66\u5bb6\u5956\u3001ACM\u6770\u51fa\u79d1\u5b66\u5bb6<\/p>\n<\/section>\n<\/section>\n<\/section>\n

\n
\n
\n
<\/section>\n<\/section>\n<\/section>\n
\n
\n
\n
\n
\n
<\/svg><\/section>\n<\/section>\n<\/section>\n<\/section>\n
\n
\n

\u79b9   \u542b<\/strong><\/p>\n<\/section>\n<\/section>\n<\/section>\n

\n

\u79b9\u542b\uff0c\u6e05\u534e\u5927\u5b66\u8ba1\u7b97\u673a\u7cfb\u4eba\u5de5\u667a\u80fd\u65b9\u5411\u535a\u58eb\u4e8c\u5e74\u7ea7\u5728\u8bfb\uff0c\u4e3b\u8981\u7814\u7a76\u65b9\u5411\u5305\u62ec\u7a33\u5b9a\u5b66\u4e60\u3001\u56e0\u679c\u63a8\u65ad\u3001\u9886\u57df\u6cdb\u5316\u7b49\uff0c\u4ed6\u5e0c\u671b\u4ece\u7406\u8bba\u548c\u5e94\u7528\u4e24\u4e2a\u89d2\u5ea6\u5efa\u7acb\u5177\u6709\u5206\u5e03\u5916\u6cdb\u5316\u80fd\u529b\u7684\u673a\u5668\u5b66\u4e60\u6a21\u578b\u3002\u76ee\u524d\u4ee5\u7b2c\u4e00\u4f5c\u8005\u5728AAAI\u53d1\u8868\u8bba\u6587\u4e00\u7bc7\uff0c\u5e76\u62c5\u4efb\u8fc7ICML\u3001NeurIPS\u3001UAI\u7b49\u4f1a\u8bae\u7684\u5ba1\u7a3f\u4eba\u3002\u66fe\u83b7\u56fd\u5bb6\u5956\u5b66\u91d1\u3001\u848b\u5357\u7fd4\u5956\u5b66\u91d1\u3001\u6e05\u534e\u5927\u5b66\u4f18\u79c0\u6bd5\u4e1a\u751f\u3001\u5317\u4eac\u5e02\u4f18\u79c0\u6bd5\u4e1a\u751f\u7b49\u8363\u8a89\u3002<\/p>\n<\/section>\n<\/section>\n<\/section>\n

\n
\n
\n
<\/section>\n<\/section>\n<\/section>\n
\n
\n
\n
\n
\n
<\/svg><\/section>\n<\/section>\n<\/section>\n<\/section>\n
\n
\n

\u6797   \u52c7<\/strong><\/p>\n<\/section>\n<\/section>\n<\/section>\n

\n

\u6797\u52c7\uff0c\u9999\u6e2f\u79d1\u6280\u5927\u5b66\u535a\u58eb\u4e09\u5e74\u7ea7\u5728\u8bfb\u751f\u3002\u7814\u7a76\u65b9\u5411\u4e3a\u56e0\u679c\u5b66\u4e60(causality), \u4e0d\u53d8\u6027\u5b66\u4e60(invariance)\u548c\u673a\u5668\u5b66\u4e60\u7406\u8bba(learning theory)\u3002\u4ed6\u5e0c\u671b\u80fd\u591f\u5efa\u7acb\u9488\u5bf9\u5206\u5e03\u504f\u79fb\u9c81\u90a6\u7684\u673a\u5668\u5b66\u4e60\u6a21\u578b\uff0c\u8ba9\u6a21\u578b\u53ef\u4ee5\u9002\u5e94\u66f4\u590d\u6742\u7684\u73b0\u5b9e\u73af\u5883\u3002\u5728\u53bb\u9999\u6e2f\u79d1\u6280\u5927\u5b66\u653b\u8bfb\u535a\u58eb\u4e4b\u524d\uff0c\u4ed6\u83b7\u5f97\u4e86\u6d59\u6c5f\u5927\u5b66\u672c\u7855\u5b66\u4f4d\uff0c\u5e76\u5728\u8682\u8681\u91d1\u670d(\u963f\u91cc\u5df4\u5df4)\u62c5\u4efb\u7b97\u6cd5\u4e13\u5bb6(P7)\u6570\u5e74\u3002\u4ed6\u76ee\u524d\u5df2\u5728\u9876\u4f1a(ICML, NeurIPS, CVPR)\u53d1\u8868\u591a\u7bc7\u8bba\u6587\u3002\u4ed6\u66fe\u83b7\u5f97\u8bf8\u591a\u8363\u8a89\uff0c\u5305\u62ec\u4e09\u6b21\u56fd\u5bb6\u5956\u91d1\u548c\u4e00\u6b21\u9999\u6e2f\u653f\u5e9c\u5956\u5b66\u91d1\u3002<\/p>\n<\/section>\n<\/section>\n<\/section>\n

\n
\n
\n
<\/section>\n<\/section>\n<\/section>\n
\n
\n
\n
\n
\n
<\/svg><\/section>\n<\/section>\n<\/section>\n<\/section>\n
\n
\n

\u4f55   \u73a5<\/strong><\/p>\n<\/section>\n<\/section>\n<\/section>\n

\n

\u4f55\u73a5\uff0c\u6e05\u534e\u5927\u5b66\u8ba1\u7b97\u673a\u7cfb\u4eba\u5de5\u667a\u80fd\u65b9\u5411\u535a\u58eb\u751f\uff0c\u7814\u7a76\u65b9\u5411\u5305\u62ec\u5206\u5e03\u5916\u6cdb\u5316\u3001\u56e0\u679c\u63a8\u65ad\u3001\u7a33\u5b9a\u5b66\u4e60\u3001\u56e0\u679c\u63a8\u8350\u7cfb\u7edf\u7b49\u3002\u4ed6\u5df2\u53d1\u8868\u6216\u5f55\u7528CCF-A\u7c7b\u4f1a\u8bae\u8bba\u658710\u7bc7\uff0c\u63d0\u51fa\u4e86\u4e00\u5957\u56e0\u679c\u542f\u53d1\u7684\u517c\u5177\u53ef\u6269\u5c55\u6027\u548c\u6cdb\u5316\u80fd\u529b\u7684\u673a\u5668\u5b66\u4e60\u548c\u63a8\u7406\u65b9\u6cd5\u3002\u4ed6\u591a\u6b21\u62c5\u4efbNeurIPS\u3001ICML\u3001AAAI\u7b49\u4f1a\u8bae\u7684\u7a0b\u5e8f\u59d4\u5458\u4f1a\u59d4\u5458\uff0c\u5165\u90092019\u817e\u8baf\u7280\u725b\u9e1f\u7cbe\u82f1\u4eba\u624d\u57f9\u517b\u8ba1\u5212\u3002\u4ed6\u4e3b\u5bfc\u6784\u5efa\u4e86\u89c6\u89c9\u9886\u57df\u5206\u5e03\u5916\u6cdb\u5316\u6807\u51c6\u8bc4\u6d4b\u6570\u636e\u96c6NICO\uff08\u603b\u5f15\u7528\u8d85\u8fc7100\uff09\uff0c\u5e76\u7ec4\u7ec7\u4e86\u5206\u5e03\u5916\u6cdb\u5316\u56fe\u50cf\u8bc6\u522b\u56fd\u9645\u5b66\u672f\u6311\u6218\u8d5bNICO Challenge\uff08\u8fd1200\u53ea\u56fd\u5185\u5916\u56e2\u961f\u53c2\u8d5b\uff09\u3002<\/p>\n<\/section>\n<\/section>\n<\/section>\n

\n
\n
\n
<\/section>\n<\/section>\n<\/section>\n
\n
\n
\n
\n
\n
<\/svg><\/section>\n<\/section>\n<\/section>\n<\/section>\n
\n
\n

\u5218\u5bb6\u7855<\/strong><\/p>\n<\/section>\n<\/section>\n<\/section>\n

\n

\u5218\u5bb6\u7855\uff0c\u6e05\u534e\u5927\u5b66\u8ba1\u7b97\u673a\u7cfb\u4eba\u5de5\u667a\u80fd\u65b9\u5411\u535a\u58eb\u751f\uff0c\u4e3b\u8981\u7814\u7a76\u65b9\u5411\u4e3a\u5206\u5e03\u5916\u6cdb\u5316\u95ee\u9898\uff0c\u00ac\u00ac\u00ac\u00ac\u00ac\u5305\u542b\u5206\u5e03\u9c81\u68d2\u4f18\u5316\u3001\u7a33\u5b9a\u5b66\u4e60\u3001\u4e0d\u53d8\u5b66\u4e60\u7b49\u3002\u4ed6\u5e0c\u671b\u5145\u5206\u5229\u7528\u6570\u636e\u5f02\u8d28\u6027\uff0c\u5efa\u7acb\u5177\u6709\u7406\u8bba\u4fdd\u8bc1\u7684\u9488\u5bf9\u5206\u5e03\u504f\u79fb\u7a33\u5b9a\u7684\u673a\u5668\u5b66\u4e60\u6a21\u578b\u3002\u4ed6\u5df2\u53d1\u8868\u9876\u4f1a\/\u671f\u520a(ICML, NeurIPS, TKDE, TPAMI\u7b49)\u8bba\u65879\u7bc7\uff08\u5176\u4e2d\u7b2c\u4e00\u4f5c\u80055\u7bc7\uff09\u3002\u4ed6\u66fe\u83b7\u5f97\u6e05\u534e\u5927\u5b66\u4f18\u826f\u6bd5\u4e1a\u751f\u3001\u56fd\u5bb6\u5956\u5b66\u91d1\u7b49\u8bf8\u591a\u8363\u8a89\u3002<\/p>\n<\/section>\n<\/section>\n<\/section>\n

\n
\n
\n
<\/section>\n<\/section>\n<\/section>\n
\n
\n
\n
\n
\n
<\/svg><\/section>\n<\/section>\n<\/section>\n<\/section>\n
\n
\n

\u5f20   \u5947<\/strong><\/p>\n<\/section>\n<\/section>\n<\/section>\n

\n

\u5f20\u5947\uff0c\u590d\u65e6\u5927\u5b66\u8ba1\u7b97\u79d1\u5b66\u6280\u672f\u5b66\u9662\u6559\u6388\u3001\u535a\u58eb\u751f\u5bfc\u5e08\u3001\u4e2d\u56fd\u4e2d\u6587\u4fe1\u606f\u5b66\u4f1a\u7406\u4e8b\u3002\u4e3b\u8981\u7814\u7a76\u65b9\u5411\u4e3a\u81ea\u7136\u8bed\u8a00\u5904\u7406\u3002\u4ee5\u7b2c\u4e00\u4f5c\u8005\u6216\u901a\u8baf\u4f5c\u8005\u53d1\u8868\u56fd\u9645\u9876\u7ea7\u8bba\u6587100\u4f59\u7bc7\uff0c\u83b7\u5f97\u7f8e\u56fd\u6388\u6743\u4e13\u52294\u9879\u3002\u83b7\u5f97\u4e0a\u6d77\u5e02\u201c\u6668\u5149\u8ba1\u5212\u201d\u3001\u590d\u65e6\u5927\u5b66\u201c\u5353\u8d8a2025\u201d\u4eba\u624d\u57f9\u80b2\u8ba1\u5212\u201c\u5353\u5b66\u4f18\u79c0\u4eba\u624d\u201d\u3001\u83b7\u5f97\u4e0a\u6d77\u5e02\u79d1\u6280\u8fdb\u6b65\u4e8c\u7b49\u5956\u3001\u6559\u80b2\u90e8\u79d1\u6280\u8fdb\u6b65\u4e8c\u7b49\u5956\u3001ACM WSDM\u6700\u4f73\u8bba\u6587\u63d0\u540d\u5956\u3001COLING \u6700\u4f73\u8bba\u6587\u63d0\u540d\u5956\u3001COLING Outstanding Paper\u3001IBM Faculty Award\u3001\u4e2d\u56fd\u4e2d\u6587\u4fe1\u606f\u5b66\u4f1a\u6c49\u738b\u9752\u5e74\u521b\u65b0\u4e00\u7b49\u5956\u3002<\/p>\n<\/section>\n<\/section>\n<\/section>\n

\n
\n
\n
<\/section>\n<\/section>\n<\/section>\n
\n
\n
\n
\n
\n
<\/svg><\/section>\n<\/section>\n<\/section>\n<\/section>\n
\n
\n

\u9648\u701a\u96c4<\/strong><\/p>\n<\/section>\n<\/section>\n<\/section>\n

\n

\u9648\u701a\u96c4\u535a\u58eb\u6bd5\u4e1a\u4e8e\u7f57\u683c\u65af\u5927\u5b66\u8ba1\u7b97\u673a\u7cfb\uff0c \u5e08\u4ece\u5f20\u6c38\u950b\u6559\u6388\u3002\u76ee\u524d\u5c31\u804c\u4e8e Meta \u62c5\u4efb\u7814\u7a76\u5458\u3002\u535a\u58eb\u671f\u95f4\u7814\u7a76\u5185\u5bb9\u5305\u62ec\u63a8\u8350\u7cfb\u7edf\uff0c \u4fe1\u606f\u68c0\u7d22\uff0c \u673a\u5668\u63a8\u7406\uff0c \u673a\u5668\u5b66\u4e60\u516c\u5e73\u6027\uff0c \u81ea\u7136\u8bed\u8a00\u5904\u7406\u7b49\u3002\u5176\u8fd1\u671f\u7684\u7814\u7a76\u5de5\u4f5c\u5173\u6ce8\u4e8e\u878d\u5408\u795e\u7ecf\u7b26\u53f7\u63a8\u7406\u4e0e\u6df1\u5ea6\u5b66\u4e60\u7684\u7ed3\u5408\u4ee5\u53ca\u56e0\u679c\u63a8\u7406\u5728\u516c\u5e73\u6027\u4e0a\u7684\u5e94\u7528\u3002<\/p>\n<\/section>\n<\/section>\n<\/section>\n

\n
\n
\n
<\/section>\n<\/section>\n<\/section>\n
\n
\n
\n
\n
\n
<\/svg><\/section>\n<\/section>\n<\/section>\n<\/section>\n
\n
\n

\u738b   \u5578<\/strong><\/p>\n<\/section>\n<\/section>\n<\/section>\n

\n

\u738b\u5578\uff0c\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66\u526f\u6559\u6388\uff0c\u9e4f\u57ce\u5b9e\u9a8c\u5ba4\u517c\u8058\u52a9\u7406\u7814\u7a76\u5458\u3002\u7814\u7a76\u65b9\u5411\u4e3a\u56fe\u795e\u7ecf\u7f51\u7edc\u3001\u6570\u636e\u6316\u6398\u4e0e\u673a\u5668\u5b66\u4e60\u3002\u5171\u53d1\u8868\u8bba\u658780\u4f59\u7bc7\uff0c\u5176\u4e2dCCF A\u7c7b\u8bba\u658740\u4f59\u7bc7\uff0cESI\u9ad8\u88ab\u5f15\u8bba\u65872\u7bc7\uff0c6\u7bc7\u5165\u9009\u6700\u6709\u5f71\u54cd\u529b\u8bba\u6587\u699c\u5355\uff0c1\u7bc7\u63d0\u540dWWW 2021\u6700\u4f73\u8bba\u6587, 1\u7bc7\u83b7\u5f97ICDM 2021\u6700\u4f73\u5b66\u751f\u8bba\u6587\u4e9a\u519b\uff0c1\u7bc7\u83b7\u5f972022\u4e16\u754c\u4eba\u5de5\u667a\u80fd\u5927\u4f1a\u9752\u5e74\u4f18\u79c0\u8bba\u6587\u63d0\u540d\u5956\uff0c\u6210\u679c\u591a\u6b21\u5199\u5165\u56fe\u8ba1\u7b97\u6807\u51c6\u5e93PyG\u548cDGL\u3002\u51fa\u7248\u6559\u6750\u4e00\u90e8\uff0c\u4e13\u8457\u4e09\u90e8\uff0c\u8457\u4f5c\u7ae0\u8282\u4e00\u7ae0\u3002\u62c5\u4efbWWW\/AAAI\/IJCAI\u7684\u9ad8\u7ea7\u7a0b\u5e8f\u59d4\u5458\u4f1a\u59d4\u5458\u3002\u83b7\u5f97ACM\u4e2d\u56fd\u65b0\u661f\u63d0\u540d\u5956\uff0cAI2000\u6700\u5177\u5f71\u54cd\u529b\u5b66\u8005\uff0c\u5317\u4eac\u667a\u6e90\u7814\u7a76\u9662\u9752\u6e90\u4f1a\u4f1a\u5458\uff0cCCF\u9ad8\u7ea7\u4f1a\u5458\uff0cCCFAI\u4e13\u59d4\u4f1a\u6267\u884c\u59d4\u5458\u3002<\/p>\n<\/section>\n<\/section>\n<\/section>\n

\n
\n
\n
<\/section>\n<\/section>\n<\/section>\n
\n
\n
\n
\n
\n
<\/svg><\/section>\n<\/section>\n<\/section>\n<\/section>\n
\n
\n

\u5f20\u5174\u7487<\/strong><\/p>\n<\/section>\n<\/section>\n<\/section>\n

\n

\u5f20\u5174\u7487\uff0c\u6e05\u534e\u5927\u5b66\u8ba1\u7b97\u673a\u7cfb\u4eba\u5de5\u667a\u80fd\u65b9\u5411\u535a\u58eb\u751f\uff0c\u4e3b\u8981\u7814\u7a76\u65b9\u5411\u5305\u62ec\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u7684\u5206\u5e03\u5916\u6cdb\u5316\u3001\u57df\u6cdb\u5316\u548c\u5206\u5e03\u5916\u7269\u4f53\u68c0\u6d4b\u7b49\u3002\u4ed6\u9996\u6b21\u5c06\u7a33\u5b9a\u5b66\u4e60\u62d3\u5c55\u5230\u6df1\u5ea6\u5b66\u4e60\u9886\u57df\uff0c\u63d0\u51fa\u4e86\u4e00\u5957\u5177\u6709\u6cdb\u5316\u80fd\u529b\u7684\u6df1\u5ea6\u5b66\u4e60\u65b9\u6cd5\u3002\u4ed6\u5df2\u5728CVPR\uff0cICCV\uff0cNeurIPS\uff0cICML\uff0cWWW\u7b49\u4f1a\u8bae\u53d1\u8868\u591a\u7bc7\u6587\u7ae0\uff0c\u5e76\u62c5\u4efbCVPR\uff0cICCV\uff0cNeurIPS\uff0cICML\u7b49\u4f1a\u8bae\u5ba1\u7a3f\u4eba\u3002\u4ed6\u662f\u5927\u89c4\u6a21\u5206\u5e03\u5916\u6cdb\u5316\u56fe\u50cf\u8bc6\u522b\u56fd\u9645\u5b66\u672f\u6311\u6218\u8d5bNICO Challenge\uff08\u8fd1200\u53ea\u56fd\u5185\u5916\u56e2\u961f\u53c2\u8d5b\uff09\u7684\u4e3b\u8981\u7ec4\u7ec7\u8005\uff0c\u5e76\u53c2\u4e0e\u4e3b\u6301\u4e86ECCV 2022 workshop \u201cCausality in Vision\u201d\u3002<\/p>\n<\/section>\n<\/section>\n<\/section>\n

\n
\n

2022<\/strong><\/p>\n<\/section>\n<\/section>\n

\n
\n
\n
\n

\u4f1a\u8bae\u62a5\u540d<\/strong><\/p>\n<\/section>\n<\/section>\n

\n
\n
\n
<\/svg><\/section>\n<\/section>\n<\/section>\n
\n
\n

\u667a\u6e90\u793e\u533a<\/p>\n<\/section>\n<\/section>\n

\n
\n
<\/svg><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n
\n
\n
\n
\n
\n
<\/section>\n<\/section>\n
\n

\u9884\u7ea6\u76f4\u64ad\uff0c\u77ed\u4fe1\u63d0\u9192<\/p>\n<\/section>\n<\/section>\n

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

\u5fae\u4fe1\u7fa4\uff0c\u5907\u6ce8\uff1a\u201c\u59d3\u540d+\u5355\u4f4d+\u56e0\u679c\u201d\u624d\u4f1a\u9a8c\u8bc1\u8fdb\u7fa4\u54e6<\/p>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n

\n
\n

2022<\/strong><\/p>\n<\/section>\n<\/section>\n

\n
\n
\n
\n

\u6ce8\u610f\u4e8b\u9879<\/strong><\/p>\n<\/section>\n<\/section>\n

\n
\n
\n
<\/svg><\/section>\n<\/section>\n<\/section>\n
\n
\n


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

\n
\n
<\/svg><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n
    \n
  1. \n

    \u7531\u4e8e\u8003\u8651\u5230\u6bcf\u4f4d\u8bb2\u8005\u4f1a\u4e2d\u7684\u62a5\u544a\u65f6\u95f4\u6709\u9650\uff0c\u89c2\u4f17\u53ef\u63d0\u524d\u5728\u667a\u6e90\u793e\u533a\u201c\u95ee\u7b54\u5217\u8868\u201d\u7559\u8a00\uff08\u9605\u8bfb\u539f\u6587\u4e2d\uff09\uff0c\u5609\u5bbe\u548c\u8bb2\u8005\u4f1a\u5728\u76f4\u64ad\u65f6\u6216\u7ed3\u675f\u540e\u8fdb\u884c\u56de\u590d\u3002<\/p>\n<\/li>\n

  2. \n

    \u5728\u793e\u533a\u62a5\u540d\u7684\u89c2\u4f17\u70b9\u51fb\u201c\u89c2\u770b\u76f4\u64ad\u201d\u5c06\u8fdb\u5165\u817e\u8baf\u4f1a\u8bae\uff0c\u4e0e\u8bb2\u8005\u76f4\u63a5\u4e92\u52a8\u4ea4\u6d41\uff0c\u4f46\u7531\u4e8e\u4f1a\u8bae\u5ba4\u4ec5\u5bb9\u7eb3300\u4eba\uff0c\u8bf7\u672a\u6709\u5e2d\u4f4d\u7684\u89c2\u4f17\u641c\u7d22\u89c6\u9891\u53f7\u201c\u667a\u6e90\u793e\u533a\u201d\u89c2\u770b\u3002
    <\/p>\n<\/li>\n

  3. \n

    2021\u5e74\u300a\u56e0\u679c\u542f\u53d1\u7684\u7a33\u5b9a\u5b66\u4e60\u5e74\u5ea6\u7814\u7a76\u8fdb\u5c55\u300b\u56de\u653e\u89c6\u9891\uff08\u9605\u8bfb\u539f\u6587\u4e2d\uff09\u3002<\/p>\n<\/li>\n

  4. \n

    2022\u5e74\u7684\u7a33\u5b9a\u5b66\u4e60\u5e74\u5ea6\u7814\u7a76\u8fdb\u5c55\u4e5f\u63d0\u4f9b\u56de\u653e\u3002<\/p>\n<\/li>\n

  5. \n

    \u4eca\u5e74\u7684\u7a33\u5b9a\u5b66\u4e60\u5e74\u5ea6\u7814\u7a76\u8fdb\u5c55\u62db\u52df\u5ba3\u4f20\u5408\u4f5c\u4f19\u4f34\uff0c\u8bf7\u6709\u610f\u8005\u4e0e\u6211\u4eec\u53d6\u5f97\u8054\u7cfb\uff0c\u53ef\u83b7\u5f97\u8f6c\u64ad\u673a\u4f1a\u6216\u54c1\u724cLogo\u9732\u51fa\u3002<\/p>\n<\/li>\n

  6. \n

    \u82e5\u6301\u7eed\u5173\u6ce8\u8fd9\u4e2a\u9886\u57df\uff0c\u4e0d\u59a8\u626b\u7801\u4e0a\u65b9\u4e8c\u7ef4\u7801\u52a0\u5165\u4ea4\u6d41\u7fa4\u3002<\/p>\n


    <\/p>\n<\/li>\n<\/ol>\n


    <\/p>\n


    <\/p>\n

    \n
    \n
    \n
    \n
    \n

    \u56e0\u679c\u8868\u5f81\u5b66\u4e60\u8bfb\u4e66\u4f1a\u542f\u52a8<\/strong><\/span><\/p>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n


    <\/section>\n
    \u968f\u7740\u201c\u56e0\u679c\u9769\u547d\u201d\u5728\u4eba\u5de5\u667a\u80fd\u4e0e\u5927\u6570\u636e\u9886\u57df\u5f90\u5f90\u5c55\u5f00\uff0c\u4f5c\u4e3a\u8fde\u63a5\u56e0\u679c\u79d1\u5b66\u4e0e\u6df1\u5ea6\u5b66\u4e60\u6865\u6881\u7684\u56e0\u679c\u8868\u5f81\u5b66\u4e60\uff0c\u6210\u4e3a\u5907\u53d7\u5173\u6ce8\u7684\u524d\u6cbf\u65b9\u5411\u3002\u4ee5\u5f80\u7684\u6df1\u5ea6\u8868\u5f81\u5b66\u4e60\u5728\u6570\u636e\u964d\u7ef4\u4e2d\u4fdd\u7559\u4fe1\u606f\u5e76\u8fc7\u6ee4\u566a\u97f3\uff0c\u65b0\u5174\u7684\u56e0\u679c\u79d1\u5b66\u5219\u5f62\u6210\u4e86\u56e0\u679c\u63a8\u7406\u4e0e\u53d1\u73b0\u7684\u4e00\u7cfb\u5217\u65b9\u6cd5\u3002\u968f\u7740\u4e8c\u8005\u7ed3\u5408\uff0c\u56e0\u679c\u8868\u5f81\u5b66\u4e60\u6709\u671b\u50ac\u751f\u66f4\u5f3a\u5927\u7684\u65b0\u4e00\u4ee3AI\u3002<\/span><\/section>\n

    <\/section>\n
    \u96c6\u667a\u4ff1\u4e50\u90e8\u7ec4\u7ec7\u4ee5\u201c\u56e0\u679c\u8868\u5f81\u5b66\u4e60\u201d\u4e3a\u4e3b\u9898\u3001\u4e3a\u671f\u5341\u5468\u7684\u8bfb\u4e66\u4f1a\uff0c\u805a\u7126\u56e0\u679c\u79d1\u5b66\u76f8\u5173\u95ee\u9898\uff0c\u5171\u5b66\u5171\u7814\u76f8\u5173\u6587\u732e\u3002\u6b22\u8fce\u4ece\u4e8b\u56e0\u679c\u79d1\u5b66\u3001\u4eba\u5de5\u667a\u80fd\u4e0e\u590d\u6742\u7cfb\u7edf\u7b49\u76f8\u5173\u7814\u7a76\u9886\u57df\uff0c\u6216\u5bf9\u56e0\u679c\u8868\u5f81\u5b66\u4e60\u7684\u7406\u8bba\u4e0e\u5e94\u7528\u611f\u5174\u8da3\u7684\u5404\u754c\u670b\u53cb\u62a5\u540d\u53c2\u4e0e\u3002\u96c6\u667a\u4ff1\u4e50\u90e8\u5df2\u7ecf\u7ec4\u7ec7\u4e09\u5b63\u201c\u56e0\u679c\u79d1\u5b66\u201d\u8bfb\u4e66\u4f1a\uff0c\u5f62\u6210\u4e86\u8d85\u8fc7\u5343\u4eba\u7684\u56e0\u679c\u79d1\u5b66\u793e\u533a\uff0c\u56e0\u679c\u8868\u5f81\u5b66\u4e60\u8bfb\u4e66\u4f1a<\/a>\u662f\u5176\u7b2c\u56db\u5b63\uff0c\u73b0\u5728\u52a0\u5165\u8bfb\u4e66\u4f1a\u5373\u53ef\u53c2\u4e0e\u56e0\u679c\u793e\u533a\u5404\u7c7b\u7ebf\u4e0a\u7ebf\u4e0b\u4ea4\u6d41\u5408\u4f5c\u3002<\/span><\/section>\n


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

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


    <\/span><\/section>\n
    \u8be6\u60c5\u8bf7\u89c1\uff1a<\/span><\/span><\/section>\n
    \u8fde\u63a5\u56e0\u679c\u79d1\u5b66\u4e0e\u6df1\u5ea6\u5b66\u4e60\u7684\u6865\u6881\uff1a\u56e0\u679c\u8868\u5f81\u5b66\u4e60\u8bfb\u4e66\u4f1a\u542f\u52a8<\/a><\/span>
    <\/span><\/section>\n

    <\/section>\n


    <\/p>\n

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

    \u70b9\u201c\u9605\u8bfb\u539f\u6587\u201d\u8fdb\u5165\u6d3b\u52a8\u9875\u3002<\/p>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n

    <\/mp-style-type><\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

    2022 \u7a33\u5b9a\u5b66\u4e60\u5e74\u5ea6\u7814\u7a76\u8fdb\u5c55 \u4e00\u5e74\u4e00\u5ea6\u7684\u300a\u7a33\u5b9a\u5b66\u4e60\u5e74\u5ea6\u7814\u7a76\u8fdb\u5c55\u300b\u7cfb\u5217\u62a5\u544a\u5c06\u4e8e2022\u5e7412\u670828\u65e519:00-22:00\u7ebf\u4e0a\u53ec\u5f00\uff0c9\u4f4d\u5b66\u8005\u5c06\u91cd\u70b9\u4ecb\u7ecd\u7a33\u5b9a\u5b66\u4e60\u7406\u8bba\u548c\u65b9\u6cd5\u7684\u5e74\u5ea6\u8fdb\u5c55\uff0c\u6b22\u8fce\u611f\u5174\u8da3\u7684\u5e08\u53cb\u62a5\u540d\u89c2\u770b\u76f4\u64ad\uff0c\u62a5\u540d\u65b9\u9762\u89c1\u6587\u672b\u3002 2022 \u4f1a\u8bae\u5b89\u6392 \u7a33\u5b9a\u5b66\u4e60\u5e74\u5ea6\u7814\u7a76\u8fdb\u5c55 12\u670828\u65e5 \u661f\u671f\u4e09 19:0…<\/p>\n","protected":false},"author":1,"featured_media":39456,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[1],"tags":[],"special":[],"_links":{"self":[{"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/posts\/39485"}],"collection":[{"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=39485"}],"version-history":[{"count":0,"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/posts\/39485\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/media\/39456"}],"wp:attachment":[{"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=39485"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=39485"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=39485"},{"taxonomy":"special","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fspecial&post=39485"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}