{"id":224,"date":"2021-06-07T05:30:00","date_gmt":"2021-06-06T20:30:00","guid":{"rendered":"https:\/\/devneko.jp\/wordpress\/?p=224"},"modified":"2021-06-07T05:30:00","modified_gmt":"2021-06-06T20:30:00","slug":"%e3%83%86%e3%83%bc%e3%83%96%e3%83%ab%e3%83%87%e3%83%bc%e3%82%bf%e3%82%92transformer%e3%81%a7%e6%89%b1%e3%81%86","status":"publish","type":"post","link":"https:\/\/devneko.jp\/wordpress\/?p=224","title":{"rendered":"\u30c6\u30fc\u30d6\u30eb\u30c7\u30fc\u30bf\u3092Transformer\u3067\u6271\u3046"},"content":{"rendered":"\n<ul class=\"wp-block-list\"><li><strong>SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training&nbsp;<\/strong>[45.1]<br>\u30bf\u30d6\u30e9\u30eb\u30c7\u30fc\u30bf\u306f\u3001\u6a5f\u68b0\u5b66\u7fd2\u306e\u591a\u304f\u306e\u30cf\u30a4\u30a4\u30f3\u30d1\u30af\u30c8\u306a\u5fdc\u7528\u3092\u652f\u3048\u3066\u3044\u308b\u3002 \u8fd1\u5e74\u306e\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u624b\u6cd5\u306f\u3001\u4e00\u822c\u7684\u306a\u6280\u8853\u3068\u7af6\u5408\u3059\u308b\u6027\u80fd\u3092\u9054\u6210\u3057\u3066\u3044\u308b\u3002 \u63d0\u6848\u624b\u6cd5\u3067\u3042\u308bSAINT\u306f,\u884c\u3068\u5217\u306e\u53cc\u65b9\u306b\u6ce8\u610f\u3092\u5411\u3051\u308b\u3002<br><a href=\"http:\/\/arxiv.org\/abs\/2106.01342v1\">\u8ad6\u6587<\/a>&nbsp;&nbsp;<a href=\"https:\/\/fugumt.com\/fugumt\/paper_check\/2106.01342v1\">\u53c2\u8003\u8a33\uff08\u30e1\u30bf\u30c7\u30fc\u30bf\uff09<\/a>&nbsp;&nbsp;<a href=\"https:\/\/fugumt.com\/fugumt\/paper\/translated\/2106.01342.pdf.html\">\u53c2\u8003\u8a33\uff08\u5168\u6587\uff09<\/a>&nbsp;&nbsp;(Wed, 2 Jun 2021 17:51:05 GMT)<ul><li>\u30c6\u30fc\u30d6\u30eb\u30c7\u30fc\u30bf\u306b\u5bfe\u3057\u3066Transformer\u3092\u7528\u3044\u308b\u3068\u3044\u3046\u8ad6\u6587\u3002\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306b\u3088\u3063\u3066\u306fLightGBM\u3084XGBoost\u3001CatBoost\u3068\u3044\u3063\u305f\u52fe\u914d\u30d6\u30fc\u30b9\u30c6\u30a3\u30f3\u30b0\u7cfb\u306e\u624b\u6cd5\u3088\u308a\u3082\u7cbe\u5ea6\u304c\u9ad8\u3044\u3068\u306e\u3053\u3068\u3002\u4e0b\u8a18\u306eTabTransformer\u3082\u3060\u304c\u8868\u5f62\u5f0f\u30c7\u30fc\u30bf\u306b\u5bfe\u3057\u3066\u3082Deep Learning\u7cfb\u306e\u30a2\u30d7\u30ed\u30fc\u30c1\u304c\u6709\u52b9\u306a\u5834\u5408\u304c\u3042\u308b\u306e\u306f\u8208\u5473\u6df1\u3044\u3002Transformer\u304c\u6709\u7528\u306a\u69cb\u9020\u306a\u306e\u304b\u3001\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u304c\u30d5\u30a3\u30c3\u30c8\u3057\u3066\u3044\u308b\u3060\u3051\u306a\u306e\u304b\u306f\u8b0e\u3002<\/li><li>\u540c\u8ad6\u6587\u3067\u306fMLP\u304c\u6709\u52b9\u306a\u5834\u5408\u304c\u3042\u3063\u305f\u308a\u3001XGB, LGB\u3067\u5dee\u304c\u3042\u308a\u3059\u304e\u306e\u3088\u3046\u306b\u601d\u3048\u308b\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u304c\u3042\u3063\u305f\u308a\u3059\u308b\uff08\u30cf\u30a4\u30d1\u30fc\u30d1\u30e9\u30e1\u30fc\u30bf\u306e\u554f\u984c\uff1f\uff09\u306e\u3067\u3001\u6700\u7d42\u7684\u306b\u306f\u3044\u308d\u3044\u308d\u8a66\u3057\u3066\u307f\u308b\u4e8b\u306f\u5fc5\u8981\u306a\u3093\u3060\u308d\u3046\u3068\u601d\u3046\u3002<\/li><\/ul><\/li><\/ul>\n\n\n\n<ul class=\"wp-block-list\"><li><strong>TabTransformer: Tabular Data Modeling Using Contextual Embeddings&nbsp;<\/strong>[23.5]<br>\u6559\u5e2b\u4ed8\u304d\u304a\u3088\u3073\u534a\u6559\u5e2b\u4ed8\u304d\u5b66\u7fd2\u306e\u305f\u3081\u306e\u65b0\u3057\u3044\u6df1\u5c64\u30c7\u30fc\u30bf\u30e2\u30c7\u30ea\u30f3\u30b0\u30a2\u30fc\u30ad\u30c6\u30af\u30c1\u30e3\u3067\u3042\u308bTabTransformer\u3092\u63d0\u6848\u3059\u308b\u3002 \u30c8\u30e9\u30f3\u30b9\u30d5\u30a9\u30fc\u30de\u30fc\u5c64\u306f\u30ab\u30c6\u30b4\u30ea\u306e\u7279\u5fb4\u306e\u57cb\u3081\u8fbc\u307f\u3092\u30ed\u30d0\u30b9\u30c8\u306a\u30b3\u30f3\u30c6\u30ad\u30b9\u30c8\u57cb\u3081\u8fbc\u307f\u306b\u5909\u63db\u3057\u3001\u9ad8\u3044\u4e88\u6e2c\u7cbe\u5ea6\u3092\u9054\u6210\u3059\u308b\u3002 \u534a\u6559\u5e2b\u4ed8\u304d\u74b0\u5883\u3067\u306f\u3001\u30c7\u30fc\u30bf\u99c6\u52d5\u578b\u30b3\u30f3\u30c6\u30ad\u30b9\u30c8\u57cb\u3081\u8fbc\u307f\u3092\u5b66\u7fd2\u3059\u308b\u305f\u3081\u306e\u6559\u5e2b\u306a\u3057\u4e8b\u524d\u5b66\u7fd2\u624b\u6cd5\u3092\u958b\u767a\u3057\u3001\u305d\u306e\u7d50\u679c\u3001\u6700\u5148\u7aef\u306e\u624b\u6cd5\u3092\u5e73\u57472.1%\u306eAUC\u30ea\u30d5\u30c8\u3059\u308b\u3002<br><a href=\"http:\/\/arxiv.org\/abs\/2012.06678v1\">\u8ad6\u6587<\/a>&nbsp;&nbsp;<a href=\"https:\/\/fugumt.com\/fugumt\/paper_check\/2012.06678v1\">\u53c2\u8003\u8a33\uff08\u30e1\u30bf\u30c7\u30fc\u30bf\uff09<\/a>&nbsp;&nbsp;<a href=\"https:\/\/fugumt.com\/fugumt\/paper\/translated\/2012.06678.pdf.html\">\u53c2\u8003\u8a33\uff08\u5168\u6587\uff09<\/a>&nbsp;&nbsp;(Fri, 11 Dec 2020 23:31:23 GMT)<\/li><\/ul>\n","protected":false},"excerpt":{"rendered":"<p>SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training&nbsp;[45.1]\u30bf\u30d6\u30e9 &hellip; <a href=\"https:\/\/devneko.jp\/wordpress\/?p=224\" class=\"more-link\"><span class=\"screen-reader-text\">&#8220;\u30c6\u30fc\u30d6\u30eb\u30c7\u30fc\u30bf\u3092Transformer\u3067\u6271\u3046&#8221; \u306e<\/span>\u7d9a\u304d\u3092\u8aad\u3080<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[2],"tags":[415,498],"class_list":["post-224","post","type-post","status-publish","format-standard","hentry","category-arxiv","tag-transformer","tag-498"],"_links":{"self":[{"href":"https:\/\/devneko.jp\/wordpress\/index.php?rest_route=\/wp\/v2\/posts\/224","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/devneko.jp\/wordpress\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/devneko.jp\/wordpress\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/devneko.jp\/wordpress\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/devneko.jp\/wordpress\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=224"}],"version-history":[{"count":0,"href":"https:\/\/devneko.jp\/wordpress\/index.php?rest_route=\/wp\/v2\/posts\/224\/revisions"}],"wp:attachment":[{"href":"https:\/\/devneko.jp\/wordpress\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=224"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/devneko.jp\/wordpress\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=224"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/devneko.jp\/wordpress\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=224"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}