{"id":1902,"date":"2022-05-23T05:30:00","date_gmt":"2022-05-22T20:30:00","guid":{"rendered":"https:\/\/devneko.jp\/wordpress\/?p=1902"},"modified":"2022-05-23T05:30:00","modified_gmt":"2022-05-22T20:30:00","slug":"dataset-pruning","status":"publish","type":"post","link":"https:\/\/devneko.jp\/wordpress\/?p=1902","title":{"rendered":"Dataset Pruning"},"content":{"rendered":"\n<ul class=\"wp-block-list\"><li><strong>Dataset Pruning: Reducing Training Data by Examining Generalization Influence&nbsp;<\/strong>[30.3]<br>\u3059\u3079\u3066\u306e\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u30c7\u30fc\u30bf\u306f\u3001\u30e2\u30c7\u30eb\u306e\u30d1\u30d5\u30a9\u30fc\u30de\u30f3\u30b9\u306b\u5bc4\u4e0e\u3057\u307e\u3059\u304b? \u30e2\u30c7\u30eb\u306e\u30d1\u30d5\u30a9\u30fc\u30de\u30f3\u30b9\u3092\u8457\u3057\u304f\u72a0\u7272\u306b\u3059\u308b\u3053\u3068\u306a\u304f\u3001\u30d7\u30ed\u30ad\u30b7\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u30bb\u30c3\u30c8\u3068\u3057\u3066\u3001\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u30c7\u30fc\u30bf\u5168\u4f53\u304b\u3089\u6700\u5c0f\u9650\u306e\u30b5\u30d6\u30bb\u30c3\u30c8\u3092\u69cb\u7bc9\u3059\u308b\u306b\u306f\u3001\u3069\u3046\u3059\u308c\u3070\u3088\u3044\u306e\u304b?<br><a href=\"http:\/\/arxiv.org\/abs\/2205.09329v1\">\u8ad6\u6587<\/a>&nbsp;&nbsp;<a href=\"https:\/\/fugumt.com\/fugumt\/paper_check\/2205.09329v1\">\u53c2\u8003\u8a33\uff08\u30e1\u30bf\u30c7\u30fc\u30bf\uff09<\/a>&nbsp; &nbsp;(Thu, 19 May 2022 05:36:35 GMT)<ul><li>\u5b66\u7fd2\u30c7\u30fc\u30bf\uff08\u306e\u30b5\u30d6\u30bb\u30c3\u30c8\u306e\u524a\u9664\uff09\u304c\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u30d1\u30e9\u30e1\u30fc\u30bf\u306b\u4e0e\u3048\u308b\u5f71\u97ff\u3092\u7406\u8ad6\u7684\u306b\u691c\u8a0e\u3001\u30b5\u30f3\u30d7\u30eb\u9078\u629e\u624b\u9806\u3092\u5236\u7d04\u4ed8\u304d\u96e2\u6563\u6700\u9069\u5316\u554f\u984c\u3068\u3057\u3066\u30e2\u30c7\u30eb\u5316\u3002\u5b9f\u969b\u306e\u30c7\u30fc\u30bf\u3067\u305d\u306e\u524a\u6e1b\u304c\u4e0e\u3048\u308b\u5f71\u97ff\u3068\u540c\u3058\u3067\u3042\u308b\u3053\u3068\u3092\u691c\u8a3c\u3057\u305f\u3068\u306e\u3053\u3068\u3002<\/li><\/ul><\/li><\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Dataset Pruning: Reducing Training Data by Examining Generalization Influence&nbsp;[30.3]\u3059\u3079\u3066\u306e\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u30c7\u30fc\u30bf\u306f\u3001\u30e2\u30c7\u30eb\u306e\u30d1\u30d5 &hellip; <a href=\"https:\/\/devneko.jp\/wordpress\/?p=1902\" class=\"more-link\"><span class=\"screen-reader-text\">&#8220;Dataset Pruning&#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":[93,95,493],"class_list":["post-1902","post","type-post","status-publish","format-standard","hentry","category-arxiv","tag-data-diet","tag-data-slimming","tag-493"],"_links":{"self":[{"href":"https:\/\/devneko.jp\/wordpress\/index.php?rest_route=\/wp\/v2\/posts\/1902","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=1902"}],"version-history":[{"count":0,"href":"https:\/\/devneko.jp\/wordpress\/index.php?rest_route=\/wp\/v2\/posts\/1902\/revisions"}],"wp:attachment":[{"href":"https:\/\/devneko.jp\/wordpress\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=1902"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/devneko.jp\/wordpress\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=1902"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/devneko.jp\/wordpress\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=1902"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}