{"id":744,"date":"2024-01-22T08:24:52","date_gmt":"2024-01-22T00:24:52","guid":{"rendered":"http:\/\/ai.gitpp.com\/?page_id=744"},"modified":"2024-12-03T18:02:14","modified_gmt":"2024-12-03T10:02:14","slug":"%e5%85%a8%e7%90%83%e7%bb%8f%e5%85%b8%e8%ae%ba%e6%96%87","status":"publish","type":"page","link":"http:\/\/ai.gitpp.com\/index.php\/%e5%85%a8%e7%90%83%e7%bb%8f%e5%85%b8%e8%ae%ba%e6%96%87\/","title":{"rendered":"\u5168\u7403\u7ecf\u5178\u8bba\u6587"},"content":{"rendered":"\n<p><\/p>\n\n\n\n<p>\u4ece 1996 \u5e74\u5f00\u59cb\uff0c\u5404\u4e2a\u8ba1\u7b97\u673a\u79d1\u5b66\u5b50\u9886\u57df\u7684\u4f1a\u8bae\u6700\u4f73\u8bba\u6587\u5956\u7684\u96c6\u5408\u3002\u6700\u521d\uff0c\u9009\u62e9\u4e86\u6bcf\u4e2a\u5b50\u9886\u57df\u6700\u5e7f\u6cdb\u7684\u4ee3\u8868\u6027\u4f1a\u8bae\u3002\u8fd9\u4e9b\u6570\u636e\u662f\u4ece\u7f51\u4e0a\u627e\u5230\u7684\u6765\u6e90\u624b\u52a8\u8f93\u5165\u7684\uff08\u5176\u4e2d\u8bb8\u591a\u4e0d\u518d\u53ef\u7528\uff09<\/p>\n\n\n\n<p><\/p>\n\n\n\n<p>\u8ba1\u7b97\u673a\u9886\u57df Best Paper<\/p>\n\n\n\n<p><a href=\"http:\/\/paper.gitpp.com\/best_Paper.html\">http:\/\/paper.gitpp.com\/best_Paper.html<\/a><\/p>\n\n\n\n<p><\/p>\n\n\n\n<p><\/p>\n\n\n\n<p>\u6700\u8fd1\u5168\u7403\u6700\u706b\u7684CS\u7684\u8bba\u6587\uff0c\u8089\u773c\u5c31\u611f\u53d7\u5230\u4e86\u8ba1\u7b97\u673a\u6559\u6388\u4eec\u5bf9\u4e8e\u5927\u4e00\u7edf\u6a21\u578b\u7684\u201c\u7126\u8651\u201d\u3002\u8fd9\u4efd\u7126\u8651\u8ba9\u4ed6\u4eec\u5f00\u59cb\u5c1d\u8bd5\u7edf\u4e00\u4e00\u5207\uff0c\u6bd4\u5982\uff1a<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>\u7edf\u4e00\u590d\u6742\u7684\u81ea\u52a8\u9a7e\u9a76\u4efb\u52a1\u7684\u4f18\u5316\u76ee\u6807<\/strong>\uff0c\u6765\u81ea\u4eca\u5e74CVPR\u6700\u4f73\u8bba\u6587\u3002<\/li>\n\n\n\n<li><strong>\u7edf\u4e00\u5178\u578b\u7684CV\u4efb\u52a1\uff0c\u5305\u62ec\u56fe\u7247\u7406\u89e3\u3001\u63a8\u7406\u3001\u7f16\u8f91<\/strong>\u3002\u4eca\u5e74CVPR\u53e6\u4e00\u7bc7\u6700\u4f73\u8bba\u6587\u3002<\/li>\n\n\n\n<li><strong>\u4eff\u7167LLM\u7684\u65b9\u5f0f\u8bbe\u8ba1Large Vision Model\u7684\u8303\u5f0f\u96cf\u5f62<\/strong>\u3002<\/li>\n<\/ul>\n\n\n\n<p>\u7136\u800c\u5982\u4ecaNLP\u8fdb\u5316\u51fa\u8fd9\u6837\u7684\u7edf\u4e00\u8303\u5f0f\u592a\u96be\u5f97\u4e86\uff0c\u5176\u4e2d\u6709\u597d\u51e0\u4e2a\u5c42\u7ea7\uff1a<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>\u4efb\u52a1\u5f62\u5f0f\u7684\u7edf\u4e00\uff1a19\u5e74GPT2\u628a\u6240\u6709NLP\u4efb\u52a1\u90fd\u6574\u5408\u6210\u4e86\u4e00\u79cd\u5f62\u5f0f\uff0c\u5373text-to-text\u3002<\/li>\n\n\n\n<li>\u7f51\u7edc\u7ed3\u6784\u7684\u7edf\u4e00\uff1a\u7edf\u4e00\u4f7f\u7528transformer (decoder)<\/li>\n\n\n\n<li>\u4f18\u5316\u8303\u5f0f\u7684\u7edf\u4e00\uff1a\u9884\u8bad\u7ec3+\u7cbe\u8c03+prompt<\/li>\n<\/ol>\n\n\n\n<p><\/p>\n\n\n\n<p>\u4e00<\/p>\n\n\n\n<p>CVPR Computer Vision <\/p>\n\n\n\n<p><a href=\"https:\/\/mp.weixin.qq.com\/s\/dXjNEgc7aaIJLsWVT7-qIg\">Planning-oriented Autonomous Driving <\/a><\/p>\n\n\n\n<p>Yihan Hu, Shanghai AI Laboratory; et al.<\/p>\n\n\n\n<p>\u300aPlanning-oriented Autonomous Driving\u300b\u662f\u4e00\u7bc7\u53d1\u8868\u5728CVPR\uff08IEEE Conference on Computer Vision and Pattern Recognition\uff09\u8ba1\u7b97\u673a\u89c6\u89c9\u4e0e\u6a21\u5f0f\u8bc6\u522b\u4f1a\u8bae\u4e0a\u7684\u8bba\u6587\uff0c\u4f5c\u8005\u5305\u62ecYihan Hu\u4ee5\u53ca\u5176\u4ed6\u6765\u81ea\u4e0a\u6d77\u4eba\u5de5\u667a\u80fd\u5b9e\u9a8c\u5ba4\u7684\u7814\u7a76\u8005\u3002<\/p>\n\n\n\n<p>\u5176\u4ed6<\/p>\n\n\n\n<p><\/p>\n\n\n\n<p><strong>2023 \u8ba1\u7b97\u673a\u6700\u4f73\u8bba\u6587 \u901f\u9012 0001<\/strong><\/p>\n\n\n\n<p><\/p>\n\n\n\n<p>AAAI&nbsp;<\/p>\n\n\n\n<p>Artificial Intelligence<\/p>\n\n\n\n<p><a href=\"https:\/\/mp.weixin.qq.com\/s\/hVDB5zBmM3vivdcJ-RTA9g\">1\u3001Misspecification in Inverse Reinforcement Learning<\/a><\/p>\n\n\n\n<p>Joar Skalse &amp; Alessandro Abate, University of Oxford<\/p>\n\n\n\n<p>\u300aAAAI\u4eba\u5de5\u667a\u80fd\u6742\u5fd7\u300b\u4e0a\u53d1\u8868\u7684\u8bba\u6587\u300aInverse Reinforcement Learning\u4e2d\u7684\u5931\u914d\u95ee\u9898\u300b\uff08Misspecification in Inverse Reinforcement Learning\uff09\u662f\u7531\u725b\u6d25\u5927\u5b66\u7684Joar Skalse\u548cAlessandro Abate\u64b0\u5199\u7684\u3002\u8fd9\u7bc7\u8bba\u6587\u4e3b\u8981\u7814\u7a76\u4e86\u9006\u5f3a\u5316\u5b66\u4e60\uff08Inverse Reinforcement Learning, IRL\uff09\u4e2d\u7684\u5931\u914d\u95ee\u9898\uff08misspecification\uff09\u3002<\/p>\n\n\n\n<p><\/p>\n\n\n\n<p>ACL Natural Language Processing &nbsp;<\/p>\n\n\n\n<p><a href=\"https:\/\/mp.weixin.qq.com\/s\/72H1Dezwv2d0B_InTjSxMg\">2\u3001What the DAAM: Interpreting Stable Diffusion Using Cross Attention<\/a><\/p>\n\n\n\n<p>Raphael Tang, Comcast; et al.<\/p>\n\n\n\n<p><\/p>\n\n\n\n<p>\u300aACL\u81ea\u7136\u8bed\u8a00\u5904\u7406\u6742\u5fd7\u300b\u4e0a\u53d1\u8868\u7684\u8bba\u6587\u300aWhat the DAAM: Interpreting Stable Diffusion Using Cross Attention\u300b\u662f\u7531Raphael Tang\u7b49\u4eba\u64b0\u5199\u7684\u3002\u8fd9\u7bc7\u8bba\u6587\u63a2\u8ba8\u4e86\u5982\u4f55\u4f7f\u7528\u8de8\u6ce8\u610f\u529b\u673a\u5236\u6765\u89e3\u91ca\u7a33\u5b9a\u6269\u6563\uff08Stable Diffusion\uff09\u6a21\u578b\u5728\u81ea\u7136\u8bed\u8a00\u5904\u7406\uff08NLP\uff09\u4e2d\u7684\u5e94\u7528\u3002<\/p>\n\n\n\n<p><\/p>\n\n\n\n<p>ACL Natural Language Processing&nbsp; &nbsp;<\/p>\n\n\n\n<p>\u8bba\u6587&nbsp; &nbsp; &nbsp;<\/p>\n\n\n\n<p>3<a href=\"https:\/\/mp.weixin.qq.com\/s\/tclmEOKF8obS-YY053r-UA\">\u300aFrom Pretraining Data to Language Models to Downstream Tasks: Tracking the Trails of Political Biases Leading to Unfair NLP Models\u300b<\/a> Shangbin Feng, University of Washington; et al.<\/p>\n\n\n\n<p>\u4e2d\u6587\u7b80\u8981\u4ecb\u7ecd<\/p>\n\n\n\n<p>\u300a\u4ece\u9884\u8bad\u7ec3\u6570\u636e\u5230\u8bed\u8a00\u6a21\u578b\u518d\u5230\u4e0b\u6e38\u4efb\u52a1\uff1a\u8ffd\u8e2a\u5bfc\u81f4\u4e0d\u516c\u5e73NLP\u6a21\u578b\u7684\u653f\u6cbb\u504f\u89c1\u4e4b\u6e90\u300b\u8fd9\u7bc7\u8bba\u6587\u7531Shangbin Feng\uff08\u534e\u76db\u987f\u5927\u5b66\uff09\u7b49\u4eba\u64b0\u5199\uff0c\u4e3b\u8981\u7814\u7a76\u4e86\u81ea\u7136\u8bed\u8a00\u5904\u7406\uff08NLP\uff09\u6a21\u578b\u4e2d\u7684\u653f\u6cbb\u504f\u89c1\u95ee\u9898\u3002<\/p>\n\n\n\n<p><\/p>\n\n\n\n<p><strong>&nbsp; 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