{"id":1091,"date":"2021-09-26T15:38:22","date_gmt":"2021-09-26T07:38:22","guid":{"rendered":"https:\/\/xg1990.com\/blog\/?p=1091"},"modified":"2021-09-26T15:38:24","modified_gmt":"2021-09-26T07:38:24","slug":"%e4%bb%a5%e6%95%b0%e6%8d%ae%e4%b8%ba%e4%b8%ad%e5%bf%83%e7%9a%84%e6%9c%ba%e5%99%a8%e5%ad%a6%e4%b9%a0","status":"publish","type":"post","link":"https:\/\/xg1990.com\/blog\/archives\/1091","title":{"rendered":"\u4ee5\u6570\u636e\u4e3a\u4e2d\u5fc3\u7684\u673a\u5668\u5b66\u4e60"},"content":{"rendered":"\n<p>Andrew Ng \u5728\u4eca\u5e746\u6708\u4e3e\u529e\u4e86\u4e00\u573a\u540d\u4e3a Data-Centric AI Competition <a href=\"#_ftn1\">[1]<\/a>\u7684\u673a\u5668\u5b66\u4e60\u7ade\u8d5b\u3002\u548c\u4ee5\u5f80\u7684\u673a\u5668\u5b66\u4e60\u6bd4\u8d5b\u4e0d\u4e00\u6837\u662f\uff0c\u8fd9\u6b21\u6bd4\u8d5b\u91cc\u6a21\u578b\u8bad\u7ec3\u7531\u4e3b\u529e\u65b9\u63d0\u4f9b\u4e14\u662f\u56fa\u5b9a\u4e0d\u53d8\u7684\u3002\u53c2\u8d5b\u9009\u624b\u9700\u8981\u63d0\u4f9b\u6700\u4f18\u7684\u8bad\u7ec3\u6570\u636e\u96c6\uff08\u6700\u591a10000\u4efd\u6570\u636e\uff09\uff0c\u8ba9\u6a21\u578b\u4ea7\u751f\u6700\u4f18\u7cbe\u5ea6\u3002\u8fd9\u573a\u6bd4\u8d5b\u80cc\u540e\u7684\u7528\u610f\u662f\uff0c\u76ee\u524d\u673a\u5668\u5b66\u4e60\u6a21\u578b\u5df2\u7ecf\u76f8\u5bf9\u6210\u719f\u4e86\uff0c<strong>\u800c\u5bf9\u5e94\u7684\u8bad\u7ec3\u6570\u636e\u96c6\u7684\u751f\u6210\u4f18\u5316\u6280\u672f\u8fd8\u76f8\u5bf9\u843d\u540e<\/strong>\u3002Andrew Ng\u5e0c\u671b\u901a\u8fc7\u8fd9\u573a\u6bd4\u8d5b\u5524\u8d77\u5927\u5bb6\u5bf9\u4e8e\u6570\u636e\u91cd\u8981\u6027\u7684\u8ba4\u8bc6\u3002<\/p>\n\n\n\n<h2>\u6570\u636e\u6e05\u6d17<\/h2>\n\n\n\n<p>\u4e00\u79cd\u6bd4\u8f83\u6210\u529f\u7684\u65b9\u6848\u662f\u4f7f\u7528Training Dynamics<a href=\"#_ftn2\">[2]<\/a>\u7684\u6280\u672f\u5bf9\u8bad\u7ec3\u6570\u636e\u8fdb\u884c\u5206\u6790\u3002\u5b83\u5bf9\u6bcf\u4e00\u4e2a\u8bad\u7ec3\u6570\u636e\u5b9a\u4e49\u4e863\u4e2a\u6307\u6807\uff1acorrectness\uff0cconfidence\u548cvariability\u3002\u5047\u8bbe\u6211\u4eec\u5bf9\u6a21\u578b\u8bad\u7ec3\u4e86E\u4e2aepoch\uff0c\u5e76\u8bb0\u5f55\u4e86\u6bcf\u4e2a\u8bad\u7ec3\u6837\u672c\u5728\u6b63\u786e\u6807\u7b7e\u4e0b\u7684\u5206\u7c7b\u6982\u7387\u53d8\u5316\u5e8f\u5217\uff08\u957f\u5ea6\u4e3aE\uff09\u3002\u90a3\u4e48\uff1a<\/p>\n\n\n\n<ul><li>Correctness\u5b9a\u4e49\u4e3a\u5728E\u6b21\u8bad\u7ec3\u4e2d\uff0c\u8fd9\u4e2a\u6837\u672c\u88ab\u6b63\u786e\u5206\u7c7b\u7684\u6b21\u6570<\/li><li>confidence\u5b9a\u4e49\u4e3a\u8fd9\u4e2a\u5e8f\u5217\u7684\u5747\u503c\uff0c<\/li><li>variability\u5b9a\u4e49\u4e3a\u8fd9\u4e2a\u5e8f\u5217\u7684\u65b9\u5dee\u3002<\/li><\/ul>\n\n\n\n<figure class=\"wp-block-image size-large\"><a href=\"https:\/\/xg1990.com\/blog\/wp-content\/uploads\/2021\/09\/image-1.png\"><img loading=\"lazy\" width=\"548\" height=\"518\" src=\"https:\/\/xg1990.com\/blog\/wp-content\/uploads\/2021\/09\/image-1.png\" alt=\"\" class=\"wp-image-1093\" srcset=\"https:\/\/xg1990.com\/blog\/wp-content\/uploads\/2021\/09\/image-1.png 548w, https:\/\/xg1990.com\/blog\/wp-content\/uploads\/2021\/09\/image-1-300x284.png 300w\" sizes=\"(max-width: 548px) 100vw, 548px\" \/><\/a><figcaption>\u56fe 1 Training Dynamics \u793a\u610f\u56fe\uff0c\u6765\u81ea\uff08https:\/\/www.kaggle.com\/steubk\/our-journey-into-the-data-centric-ai-competition)<\/figcaption><\/figure>\n\n\n\n<p>Confidence\u8d8a\u63a5\u8fd11\u8bf4\u660e\u6a21\u578b\u5728\u6574\u4e2a\u8bad\u7ec3\u8fc7\u7a0b\u4e2d\u5bf9\u4e8e\u8fd9\u4e2a\u6837\u672c\u7684\u5206\u7c7b\u90fd\u975e\u5e38\u786e\u5b9a\uff1bvariability\u9ad8\u5219\u8bf4\u660e\u8fd9\u4e2a\u6837\u672c\u6bd4\u8f83\u6a21\u68f1\u4e24\u53ef\uff0c\u4f46\u901a\u8fc7\u4e00\u6bb5\u65f6\u95f4\u7684\u5b66\u4e60\u786e\u4fe1\u5ea6\u8fd8\u662f\u6709\u5f88\u5927\u53d8\u5316\u7684\u3002\u6700\u540e\u6837\u672c\u53ef\u4ee5\u5206\u4e3a\u4e09\u5927\u7c7b\u522b\uff1a<\/p>\n\n\n\n<ul><li>Easy-to-learn\uff1a\u9ad8confidence\uff0c\u4f4evariability\u3002\u6a21\u578b\u975e\u5e38\u5bb9\u6613\u5b66\u4e60\u7684\u6837\u672c<\/li><li>Ambiguous\uff1a\u4e2d\u7b49confidence\uff0c\u9ad8variability\u3002\u6a21\u578b\u6bd4\u8f83\u96be\u5224\u65ad\u7684\u6837\u672c\uff0c\u4f46\u901a\u8fc7\u5b66\u4e60\u53ef\u4ee5\u9010\u6b65\u8bc6\u522b<\/li><li>Hard-to-learn\uff1a\u4f4econfidence\uff0c\u4f4evariability\u3002\u6a21\u578b\u975e\u5e38\u96be\u5224\u65ad\uff0c\u8fd9\u4e9b\u53ef\u80fd\u662f\u566a\u97f3\u6570\u636e\u6216\u8005\u9519\u8bef\u6807\u7b7e<\/li><\/ul>\n\n\n\n<p>\u53c2\u8d5b\u961f\u4f0daccademia_del_cimento \u5bf9\u4e8eHard-to-learn\u6837\u672c\u7684\u5904\u7406\u529e\u6cd5\u662f<a href=\"#_ftn3\">[3]<\/a>\uff1a\u4eba\u5de5\u8c03\u6574\u6807\u6ce8\u3001\u6e05\u9664\u9ad8\u566a\u97f3\u6837\u672c\u3001\u6216\u8005\u4fdd\u6301\u539f\u72b6\u3002\u6700\u540e\u6839\u636e\u6837\u672c\u7684\u6807\u7b7e\u3001confidence\u3001variability\u3001correctness\u8fdb\u884c\u5206\u5c42\u91c7\u6837\uff0c\u4fdd\u8bc1\u4e86\u8bad\u7ec3\u6837\u672c\u7684\u5747\u5300\u8986\u76d6\u3002\u4eba\u5de5\u6807\u6ce8\u53ef\u4ee5\u4f7f\u7528\u4e00\u4e9b\u5de5\u5177\u6765\u8f85\u52a9\u8fdb\u884c\uff0c\u4f8b\u5982TornadoAI<a href=\"#_ftn4\">[4]<\/a>\uff0c\u5f53\u7136\u8fd8\u53ef\u4ee5\u7528\u66f4\u6210\u719f\u7684\u5de5\u5177\u6bd4\u5982LabelStudio <a href=\"#_ftn5\">[5]<\/a>\u3002<\/p>\n\n\n\n<p>\u6b64\u5916\uff0c\u4e5f\u53ef\u4ee5\u901a\u8fc7\u591a\u4e2a\u6a21\u578bbagging\u7684\u65b9\u6cd5\u4f30\u8ba1\u4e0d\u786e\u5b9a\u6027<a href=\"#_ftn6\">[6]<\/a>\u5e76\u627e\u5230\u6b67\u4e49\u6837\u672c\u3002<\/p>\n\n\n\n<h2>\u6570\u636e\u589e\u5f3a<\/h2>\n\n\n\n<p>\u5bf9\u56fe\u7247\u6570\u636e\u8fdb\u884c\u6570\u636e\u589e\u5f3a\u662f\u5fc5\u5907\u624b\u6bb5\uff0c\u53ef\u4ee5\u4f7f\u7528\u5de5\u5177\u5982ImageMagick<a href=\"#_ftn7\">[7]<\/a>\u8fdb\u884c\u6570\u636e\u589e\u5f3a\u3002\u5927\u91cf\u9009\u624b\u4f7f\u7528\u4e86python\u7684\u5f71\u50cf\u6570\u636e\u589e\u5f3a\u5e93 imgaug<a href=\"#_ftn8\">[8]<\/a>\uff0c\u5b83\u53ef\u4ee5\u81ea\u52a8\u5bf9\u8f93\u5165\u56fe\u50cf\u5e94\u7528\u6570\u5341\u79cd\u5e38\u7528\u7684\u6570\u636e\u589e\u5f3a\u8f6c\u5316\u3002\u5bf9\u6240\u6709\u6570\u636e\u8fdb\u884c\u6570\u636e\u589e\u5f3a\u53ef\u80fd\u6548\u679c\u5e76\u4e0d\u597d\uff0c\u53c2\u8d5b\u961f\u4f0daccademia_del_cimento\u53d1\u73b0\u53ea\u5bf9\u90e8\u5206\u4eba\u773c\u53ef\u4ee5\u8f7b\u677e\u8bc6\u522b\u7684\u6570\u636e\u8fdb\u884c\u589e\u5f3a\u4f1a\u66f4\u597d<a href=\"#_ftn9\">[9]<\/a><\/p>\n\n\n\n<p>\u9664\u4e86\u4f20\u7edf\u7684\u56fe\u5f62\u5b66\u624b\u6bb5\u8fdb\u884c\u6570\u636e\u589e\u5f3a\u5916\uff0c\u8fd8\u53ef\u4ee5\u4f7f\u7528\u751f\u6210\u6a21\u578b\u6216\u8005\u5bf9\u6297\u624b\u6bb5\u6765\u751f\u6210\u5f3a\u5316\u6570\u636e\u3002\u63d0\u5230\u7684\u6280\u672f\u5305\u62ec\uff1aFaster AutoAugment<a href=\"#_ftn10\">[10]<\/a>\uff0cBayesian Data Augmentation<a href=\"#_ftn11\">[11]<\/a>\uff0cRandAugment<a href=\"#_ftn12\">[12]<\/a>\u3002\u5176\u4e2dRandAugment\u53ef\u80fd\u6548\u679c\u6700\u597d\uff0cpytorch\u4e5f\u6709\u65b9\u4fbf\u4f7f\u7528\u7684\u51fd\u6570 torchvision.transforms.autoaugment<a href=\"#_ftn13\">[13]<\/a>\u6765\u5b9e\u73b0\u5bf9\u5e94\u529f\u80fd\u3002\u4e5f\u6709\u8ba8\u8bba\u6307\u51fa\u8fd9\u4e2a\u65b9\u5f0f\u8fdd\u80cc\u4e86data-centric\u7684\u521d\u8877\uff0c\u53c8\u56de\u5230\u4e86\u4f18\u5316\u6a21\u578b\u7684\u8001\u8def\u3002<\/p>\n\n\n\n<h2>\u65b0\u6570\u636e<\/h2>\n\n\n\n<p>\u6709\u961f\u4f0d\u63d0\u51fa\u53ef\u4ee5\u4f7f\u7528\u5404\u79cd\u4e0d\u540c\u7684<strong>\u5b57\u4f53<\/strong>\u6765\u5408\u6210\u65b0\u6570\u636e\u3002<\/p>\n\n\n\n<p>\u53c2\u8d5b\u961f\u4f0daccademia_del_cimento\u4f7f\u7528\u5206\u5272\u65b9\u6cd5<a href=\"#_ftn14\">[14]<\/a>\u521b\u9020\u4e86\u65b0\u7684\u6570\u636e\u3002\u4f8b\u5982\u6bd4\u8d5b\u6570\u636e\u662f\u7f57\u9a6c\u6570\u5b57\u7684\u56fe\u7247\u8bc6\u522b\uff0c\u90a3\u4e48\u7f57\u9a6c\u6570\u5b57 VII\u5c31\u53ef\u4ee5\u62c6\u6210V, VI, II, I\u7b49\u591a\u4e2a\u65b0\u6837\u672c\u3002<\/p>\n\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter size-large\"><a href=\"https:\/\/xg1990.com\/blog\/wp-content\/uploads\/2021\/09\/image-2.png\"><img loading=\"lazy\" width=\"482\" height=\"200\" src=\"https:\/\/xg1990.com\/blog\/wp-content\/uploads\/2021\/09\/image-2.png\" alt=\"\" class=\"wp-image-1094\" srcset=\"https:\/\/xg1990.com\/blog\/wp-content\/uploads\/2021\/09\/image-2.png 482w, https:\/\/xg1990.com\/blog\/wp-content\/uploads\/2021\/09\/image-2-300x124.png 300w\" sizes=\"(max-width: 482px) 100vw, 482px\" \/><\/a><figcaption>\u56fe 2 \u56fe\u50cf\u62c6\u5206\u793a\u610f\u56fe\uff0c\u6765\u81ea\uff08https:\/\/www.kaggle.com\/steubk\/our-journey-into-the-data-centric-ai-competition)<\/figcaption><\/figure><\/div>\n\n\n\n<p>\u751a\u81f3\u6709\u53c2\u8d5b\u8005\u76f4\u63a5\u8054\u7cfb\u4eb2\u53cb\u521b\u9020\u65b0\u6570\u636e\u96c6<a href=\"#_ftn15\">[15]<\/a><\/p>\n\n\n\n<h2>\u6837\u672c\u6311\u9009<\/h2>\n\n\n\n<p>\u6bd4\u8d5b\u5c06\u63d0\u4ea4\u6570\u636e\u9650\u5236\u5728\u4e8610000\u4e2a\uff0c\u56e0\u6b64\u9700\u8981\u6311\u9009\u6700\u4f18\u7684\u6837\u672c\u83b7\u5f97\u6700\u5927\u7684\u7cbe\u5ea6\u3002\u8fd9\u91cc\u53ef\u4ee5\u4f7f\u7528\u4e3b\u52a8\u5b66\u4e60\uff08Active Learning\uff09<a href=\"#_ftn16\">[16]<\/a>\u7684\u65b9\u6cd5\u6311\u9009\u6837\u672c\u4ee5\u53d6\u5f97\u6700\u591a\u7684\u4fe1\u606f\u589e\u76ca\uff08information gain\uff09\u3002<\/p>\n\n\n\n<p>\u9664\u4e86\u4e3b\u52a8\u5b66\u4e60\u4ee5\u5916\uff0c\u8fd8\u53ef\u4ee5\u4f7f\u7528\u4f20\u7edf\u7edf\u8ba1\u65b9\u6cd5\u6765\u5206\u6790\u51b3\u7b56\u8fb9\u754c\uff08Decision boundary\uff09\u548c\u7279\u5f81\u7a7a\u95f4\u65b9\u5dee\u6765\u5bfb\u627e\u6700\u4f18\u6837\u672c\u7ec4\u5408\u3002\u4f8b\u5982\u6c42\u89e3p-Dispersion\u95ee\u9898<a href=\"#_ftn17\">[17]<\/a>\uff0c<\/p>\n\n\n\n<hr class=\"wp-block-separator\"\/>\n\n\n\n<p><a href=\"#_ftnref1\">[1]<\/a> <a href=\"https:\/\/https-deeplearning-ai.github.io\/data-centric-comp\/\">https:\/\/https-deeplearning-ai.github.io\/data-centric-comp\/<\/a><\/p>\n\n\n\n<p><a href=\"#_ftnref2\">[2]<\/a> <a href=\"https:\/\/arxiv.org\/abs\/2009.10795\">https:\/\/arxiv.org\/abs\/2009.10795<\/a><\/p>\n\n\n\n<p><a href=\"#_ftnref3\">[3]<\/a> <a href=\"https:\/\/www.kaggle.com\/steubk\/our-journey-into-the-data-centric-ai-competition\">https:\/\/www.kaggle.com\/steubk\/our-journey-into-the-data-centric-ai-competition<\/a><\/p>\n\n\n\n<p><a href=\"#_ftnref4\">[4]<\/a> <a href=\"https:\/\/github.com\/slrbl\/human-in-the-loop-machine-learning-tool-tornado\">https:\/\/github.com\/slrbl\/human-in-the-loop-machine-learning-tool-tornado<\/a><\/p>\n\n\n\n<p><a href=\"#_ftnref5\">[5]<\/a> <a href=\"https:\/\/labelstud.io\/\">https:\/\/labelstud.io\/<\/a><\/p>\n\n\n\n<p><a href=\"#_ftnref6\">[6]<\/a> <a href=\"https:\/\/www.overleaf.com\/project\/612ea27ecde4c11240644b09\">https:\/\/www.overleaf.com\/project\/612ea27ecde4c11240644b09<\/a><\/p>\n\n\n\n<p><a href=\"#_ftnref7\">[7]<\/a> <a href=\"https:\/\/medium.com\/@walid.daboubi\/andrew-ngs-data-centric-ai-competition-how-i-reached-around-82-of-accuracy-on-using-tornadoai-daaad2ccb147\">https:\/\/medium.com\/@walid.daboubi\/andrew-ngs-data-centric-ai-competition-how-i-reached-around-82-of-accuracy-on-using-tornadoai-daaad2ccb147<\/a><\/p>\n\n\n\n<p><a href=\"#_ftnref8\">[8]<\/a> <a href=\"https:\/\/imgaug.readthedocs.io\/en\/latest\/index.html\">https:\/\/imgaug.readthedocs.io\/en\/latest\/index.html<\/a><\/p>\n\n\n\n<p><a href=\"#_ftnref9\">[9]<\/a> <a href=\"https:\/\/www.kaggle.com\/steubk\/our-journey-into-the-data-centric-ai-competition\">https:\/\/www.kaggle.com\/steubk\/our-journey-into-the-data-centric-ai-competition<\/a><\/p>\n\n\n\n<p><a href=\"#_ftnref10\">[10]<\/a> <a href=\"https:\/\/arxiv.org\/abs\/1911.06987\">https:\/\/arxiv.org\/abs\/1911.06987<\/a><\/p>\n\n\n\n<p><a href=\"#_ftnref11\">[11]<\/a> <a href=\"https:\/\/arxiv.org\/abs\/1710.10564\">https:\/\/arxiv.org\/abs\/1710.10564<\/a><\/p>\n\n\n\n<p><a href=\"#_ftnref12\">[12]<\/a> <a href=\"https:\/\/arxiv.org\/abs\/1909.13719\">https:\/\/arxiv.org\/abs\/1909.13719<\/a><\/p>\n\n\n\n<p><a href=\"#_ftnref13\">[13]<\/a> <a href=\"https:\/\/pytorch.org\/vision\/master\/_modules\/torchvision\/transforms\/autoaugment.html\">https:\/\/pytorch.org\/vision\/master\/_modules\/torchvision\/transforms\/autoaugment.html<\/a><\/p>\n\n\n\n<p><a href=\"#_ftnref14\">[14]<\/a> <a href=\"https:\/\/www.kaggle.com\/steubk\/our-journey-into-the-data-centric-ai-competition\">https:\/\/www.kaggle.com\/steubk\/our-journey-into-the-data-centric-ai-competition<\/a><\/p>\n\n\n\n<p><a href=\"#_ftnref15\">[15]<\/a> <a href=\"https:\/\/community.deeplearning.ai\/t\/post-competition-idea-sharing\/33565\/3\">https:\/\/community.deeplearning.ai\/t\/post-competition-idea-sharing\/33565\/3<\/a><\/p>\n\n\n\n<p><a href=\"#_ftnref16\">[16]<\/a> B. Settles.&nbsp; Active learning literature survey.&nbsp; Computer Sciences Technical Report 1648, Uni-versity of Wisconsin\u2013Madison, 2009<\/p>\n\n\n\n<p><a href=\"#_ftnref17\">[17]<\/a> <a href=\"https:\/\/onlinelibrary.wiley.com\/doi\/10.1111\/j.1538-4632.1987.tb00133.x\">https:\/\/onlinelibrary.wiley.com\/doi\/10.1111\/j.1538-4632.1987.tb00133.x<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Andrew Ng \u5728\u4eca\u5e746\u6708\u4e3e\u529e\u4e86\u4e00\u573a\u540d\u4e3a Data-Centric AI Competition [1]\u7684&hellip;&nbsp;<a href=\"https:\/\/xg1990.com\/blog\/archives\/1091\" class=\"\" rel=\"bookmark\">\u9605\u8bfb\u66f4\u591a &raquo;<span class=\"screen-reader-text\">\u4ee5\u6570\u636e\u4e3a\u4e2d\u5fc3\u7684\u673a\u5668\u5b66\u4e60<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"neve_meta_sidebar":"","neve_meta_container":"","neve_meta_enable_content_width":"","neve_meta_content_width":0,"neve_meta_title_alignment":"","neve_meta_author_avatar":"","neve_post_elements_order":"","neve_meta_disable_header":"","neve_meta_disable_footer":"","neve_meta_disable_title":""},"categories":[1],"tags":[],"translation":{"provider":"WPGlobus","version":"3.0.1","language":"zh","enabled_languages":["zh","en"],"languages":{"zh":{"title":true,"content":true,"excerpt":false},"en":{"title":false,"content":false,"excerpt":false}}},"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v18.4.1 - 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