{"id":1071864,"date":"2023-04-25T20:03:00","date_gmt":"2023-04-26T03:03:00","guid":{"rendered":"https:\/\/newed.any0.dpdns.org\/en-us\/research\/?post_type=msr-blog-post&#038;p=1071864"},"modified":"2024-09-25T03:35:53","modified_gmt":"2024-09-25T10:35:53","slug":"iclr-2023-ml-robustness","status":"publish","type":"msr-blog-post","link":"https:\/\/newed.any0.dpdns.org\/en-us\/research\/articles\/iclr-2023-ml-robustness\/","title":{"rendered":"ICLR 2023 | \u66f4\u9002\u5408\u7814\u7a76\u5458\u4f53\u8d28\u7684\u673a\u5668\u5b66\u4e60\u9c81\u68d2\u6027\u8bba\u6587\u5408\u96c6"},"content":{"rendered":"\n<p>\u7f16\u8005\u6309\uff1a\u56fd\u9645\u5b66\u4e60\u8868\u5f81\u4f1a\u8bae ICLR\uff08International Conference on Learning Representations\uff09\uff0c\u88ab\u516c\u8ba4\u4e3a\u5f53\u524d\u6700\u5177\u5f71\u54cd\u529b\u7684\u673a\u5668\u5b66\u4e60\u56fd\u9645\u5b66\u672f\u4f1a\u8bae\u4e4b\u4e00\u3002\u5728\u4eca\u5e74\u7684 ICLR 2023 \u5927\u4f1a\u4e0a\uff0c\u5fae\u8f6f\u4e9a\u6d32\u7814\u7a76\u9662\u53d1\u8868\u4e86\u5728\u673a\u5668\u5b66\u4e60\u9c81\u68d2\u6027\u3001\u8d1f\u8d23\u4efb\u7684\u4eba\u5de5\u667a\u80fd\u7b49\u9886\u57df\u7684\u6700\u65b0\u7814\u7a76\u6210\u679c\u3002\u7ee7 ICLR 2023 \u6770\u51fa\u8bba\u6587\u5956\u5f97\u4e3b\u7684\u72ec\u5bb6\u5206\u4eab\u540e\uff0c\u672c\u671f\u5c06\u5e26\u6765\u5fae\u8f6f\u4e9a\u6d32\u7814\u7a76\u9662\u5728\u673a\u5668\u5b66\u4e60\u9c81\u68d2\u6027\u65b9\u9762\u7684\u56db\u7bc7\u7814\u7a76\u6210\u679c\uff0c\u5176\u7814\u7a76\u4e3b\u9898\u5206\u522b\u4e3a\u9886\u57df\u6cdb\u5316\u95ee\u9898\u3001\u5206\u5e03\u5916\u6cdb\u5316\u3001\u81ea\u9002\u5e94\u9608\u503c\u6cd5\u4e0e\u534a\u76d1\u7763\u5b66\u4e60\u4e2d\u4f2a\u6807\u7b7e\u8d28\u91cf\u6570\u91cf\u7684\u6743\u8861\u3002<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"freematch-\u81ea\u9002\u5e94\u9608\u503c\u6cd5\">FreeMatch: \u81ea\u9002\u5e94\u9608\u503c\u6cd5<\/h3>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"361\" src=\"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/iclr-2023-ml-robustness-1-1024x361.png\" alt=\"paper screenshot\" class=\"wp-image-1071933\" srcset=\"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/iclr-2023-ml-robustness-1-1024x361.png 1024w, https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/iclr-2023-ml-robustness-1-300x106.png 300w, https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/iclr-2023-ml-robustness-1-768x270.png 768w, https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/iclr-2023-ml-robustness-1-1536x541.png 1536w, https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/iclr-2023-ml-robustness-1-2048x721.png 2048w, https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/iclr-2023-ml-robustness-1-240x85.png 240w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<p>\u8bba\u6587\u94fe\u63a5\uff1ahttps:\/\/arxiv.org\/abs\/2205.07246<\/p>\n\n\n\n<p>\u4ee3\u7801\u94fe\u63a5\uff1ahttps:\/\/github.com\/microsoft\/Semi-supervised-learning<\/p>\n\n\n\n<p>\u8fd1\u5e74\u6765\uff0c\u57fa\u4e8e\u9608\u503c\u7684\u4f2a\u6807\u7b7e\u65b9\u6cd5\u7684\u534a\u76d1\u7763\u65b9\u6cd5\u53d6\u5f97\u4e86\u5de8\u5927\u6210\u529f\u3002\u7136\u800c\uff0c\u73b0\u6709\u65b9\u6cd5\u53ef\u80fd\u65e0\u6cd5\u6709\u6548\u5730\u5229\u7528\u672a\u6807\u8bb0\u6570\u636e\u3002\u8fd9\u4e9b\u4f7f\u7528\u9884\u5b9a\u4e49\u6216\u8005\u56fa\u5b9a\u9608\u503c\uff0c\u6291\u6216\u4e13\u95e8\u7684\u542f\u53d1\u5f0f\u9608\u503c\u8c03\u6574\u65b9\u6848\u7684\u65b9\u6cd5\u5c06\u5bfc\u81f4\u6a21\u578b\u6027\u80fd\u4f4e\u4e0b\u4ee5\u53ca\u8f83\u6162\u7684\u6536\u655b\u3002<\/p>\n\n\n\n<p>\u5bf9\u6b64\uff0c\u7814\u7a76\u5458\u4eec\u9996\u5148\u5728\u7406\u8bba\u5c42\u9762\u5206\u6790\u4e86\u4e00\u4e2a\u7b80\u5355\u7684\u4e8c\u5206\u7c7b\u6a21\u578b\uff0c\u5f97\u51fa\u4e86\u7406\u60f3\u9608\u503c\u548c\u6a21\u578b\u5b66\u4e60\u72b6\u6001\u4e4b\u95f4\u7684\u5173\u7cfb\u3002\u8fdb\u800c\uff0c\u7814\u7a76\u5458\u4eec\u63d0\u51fa\u4e86 FreeMatch\uff0c\u5176\u80fd\u591f\u6839\u636e\u6a21\u578b\u7684\u5b66\u4e60\u72b6\u6001\uff0c\u4ee5\u81ea\u9002\u5e94\u7684\u65b9\u5f0f\u8c03\u6574\u7f6e\u4fe1\u5ea6\u9608\u503c\u3002\u7814\u7a76\u5458\u4eec\u8fd8\u8fdb\u4e00\u6b65\u5f15\u5165\u4e86\u81ea\u9002\u5e94\u7c7b\u516c\u5e73\u6b63\u5219\u5316\u60e9\u7f5a\uff0c\u9f13\u52b1\u6a21\u578b\u5728\u65e9\u671f\u8bad\u7ec3\u9636\u6bb5\u8fdb\u884c\u591a\u6837\u5316\u9884\u6d4b\u3002\u5e7f\u6cdb\u7684\u5b9e\u9a8c\u8868\u660e\uff0cFreeMatch \u6027\u80fd\u4f18\u8d8a\uff0c\u5c24\u5176\u662f\u5f53\u6807\u8bb0\u6570\u636e\u6781\u5176\u7a00\u5c11\u65f6\u3002\u8be5\u5de5\u4f5c\u662f ICLR 2023 \u5927\u4f1a\u4e0a\u534a\u76d1\u7763\u5b66\u4e60\u9886\u57df\u7684\u6700\u9ad8\u5206\u8bba\u6587\u3002<\/p>\n\n\n\n<p><\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"559\" src=\"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/iclr-2023-ml-robustness-2-1024x559.png\" alt=\"\u56fe1\uff1a\u81ea\u9002\u5e94\u9608\u503c\u6cd5 FreeMatch \u7684 Global \u548c Local threshold \u8c03\u6574\u793a\u610f\u56fe\" class=\"wp-image-1071936\" srcset=\"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/iclr-2023-ml-robustness-2-1024x559.png 1024w, https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/iclr-2023-ml-robustness-2-300x164.png 300w, https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/iclr-2023-ml-robustness-2-768x419.png 768w, https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/iclr-2023-ml-robustness-2-240x131.png 240w, https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/iclr-2023-ml-robustness-2.png 1353w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><figcaption class=\"wp-element-caption\">\u56fe1\uff1a\u81ea\u9002\u5e94\u9608\u503c\u6cd5 FreeMatch \u7684 Global \u548c Local threshold \u8c03\u6574\u793a\u610f\u56fe<\/figcaption><\/figure>\n\n\n\n<p id=\"caption-attachment-44876\"><\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"simple-\u9488\u5bf9\u9886\u57df\u6cdb\u5316\u95ee\u9898\u7684\u65e0\u9700\u5fae\u8c03\u9884\u8bad\u7ec3\u6a21\u578b\u5339\u914d\u7b97\u6cd5\">SIMPLE\uff1a\u9488\u5bf9\u9886\u57df\u6cdb\u5316\u95ee\u9898\u7684\u65e0\u9700\u5fae\u8c03\u9884\u8bad\u7ec3\u6a21\u578b\u5339\u914d\u7b97\u6cd5<\/h3>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"287\" src=\"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/iclr-2023-ml-robustness-3-1024x287.jpg\" alt=\"paper screenshot\" class=\"wp-image-1071939\" srcset=\"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/iclr-2023-ml-robustness-3-1024x287.jpg 1024w, https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/iclr-2023-ml-robustness-3-300x84.jpg 300w, https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/iclr-2023-ml-robustness-3-768x215.jpg 768w, https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/iclr-2023-ml-robustness-3-240x67.jpg 240w, https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/iclr-2023-ml-robustness-3.jpg 1100w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<p>\u8bba\u6587\u94fe\u63a5\uff1ahttps:\/\/openreview.net\/forum?id=BqrPeZ_e5P<\/p>\n\n\n\n<p>\u9879\u76ee\u4e3b\u9875\uff1aSIMPLE: Specialized Model-Sample Matching for Domain Generalization (seqml.github.io)<\/p>\n\n\n\n<p>\u5728\u4eba\u5de5\u667a\u80fd\u9886\u57df\u4e2d\uff0c\u9886\u57df\u6cdb\u5316\uff08domain generalization\uff09\u95ee\u9898\u4e00\u76f4\u5907\u53d7\u5173\u6ce8\u3002\u5728\u9886\u57df\u6cdb\u5316\u4efb\u52a1\u4e2d\uff0c\u5927\u591a\u6570\u73b0\u6709\u65b9\u6cd5\u662f\u901a\u8fc7\u5bf9\u7279\u5b9a\u7684\u9884\u8bad\u7ec3\u6a21\u578b\u5fae\u8c03\uff08fine-tuning\uff09\uff0c\u5e76\u5f00\u53d1\u9886\u57df\u6cdb\u5316\u7b97\u6cd5\u6765\u89e3\u51b3\u8be5\u95ee\u9898\u3002<\/p>\n\n\n\n<p>\u5fae\u8f6f\u4e9a\u6d32\u7814\u7a76\u9662\u7684\u7814\u7a76\u5458\u4eec\u8be6\u7ec6\u7814\u7a76\u4e86\u9884\u8bad\u7ec3\u6a21\u578b\u548c\u5206\u5e03\u504f\u79fb\u4e4b\u95f4\u7684\u5173\u7cfb\uff0c\u53d1\u73b0\u5bf9\u4e8e\u9886\u57df\u6cdb\u5316\u4efb\u52a1\u800c\u8a00\uff0c\u5e76\u4e0d\u5b58\u5728\u5355\u4e00\u6700\u4f73\u7684\u9884\u8bad\u7ec3\u6a21\u578b\u3002\u6839\u636e\u5e7f\u6cdb\u7684\u5b9e\u8bc1\u548c\u7406\u8bba\u8bc1\u636e\uff0c\u7814\u7a76\u5458\u4eec\u8bba\u8bc1\u4e86\uff081\uff09\u9884\u8bad\u7ec3\u6a21\u578b\u5728\u67d0\u79cd\u7a0b\u5ea6\u4e0a\u5177\u6709\u666e\u9002\u6027\uff0c\u4f46\u662f\u4e0d\u5b58\u5728\u80fd\u591f\u8986\u76d6\u6240\u6709\u5206\u5e03\u504f\u79fb\u4e14\u8868\u73b0\u5747\u4f73\u7684\u6700\u4f73\u9884\u8bad\u7ec3\u6a21\u578b\uff1b\uff082\uff09\u5728\u5206\u5e03\u504f\u79fb\u4e2d\u7684\u6cdb\u5316\u8bef\u5dee\u53d6\u51b3\u4e8e\u9884\u8bad\u7ec3\u6a21\u578b\u4e0e\u672a\u89c1\u6d4b\u8bd5\u5206\u5e03\u4e4b\u95f4\u7684\u5339\u914d\u5ea6\u3002<\/p>\n\n\n\n<p>\u57fa\u4e8e\u4ee5\u4e0a\u53d1\u73b0\uff0c\u7814\u7a76\u5458\u4eec\u63d0\u51fa\u4e86\u4e00\u79cd\u65e0\u9700\u518d\u5fae\u8c03\u7684\u5168\u65b0\u7684\u9886\u57df\u6cdb\u5316\u7b97\u6cd5\uff1aSIMPLE\u3002\u8be5\u65b9\u6cd5\u57fa\u4e8e\u6a21\u578b-\u6837\u672c\u5339\u914d\u7b56\u7565\uff0c\u6839\u636e\u6d4b\u8bd5\u6837\u672c\u7684\u7279\u5f81\uff0c\u9009\u62e9\u4e86\u5408\u9002\u7684\u9884\u8bad\u7ec3\u6a21\u578b\u6765\u8fdb\u884c\u9884\u6d4b\uff0c\u663e\u8457\u63d0\u9ad8\u4e86\u9886\u57df\u6cdb\u5316\u7684\u6027\u80fd\u3002\u5728\u65b9\u6cd5\u4e0a\uff0cSIMPLE \u9996\u5148\u5c06\u9884\u8bad\u7ec3\u6a21\u578b\u7684\u8f93\u51fa\u7a7a\u95f4\u8fdb\u884c\u7ebf\u6027\u8f6c\u6362\u4ee5\u9002\u5e94\u76ee\u6807\u9886\u57df\u3002\u7136\u540e\uff0c\u901a\u8fc7\u5177\u6709\u6a21\u578b\u4e13\u4e1a\u6027\uff08specialty\uff09\u611f\u77e5\u7684\u5339\u914d\u7f51\u7edc\u4e3a\u6bcf\u4e2a\u6d4b\u8bd5\u6837\u672c\u52a8\u6001\u5339\u914d\u5408\u9002\u7684\u9884\u8bad\u7ec3\u6a21\u578b\u8fdb\u884c\u9884\u6d4b\u3002\u5b9e\u9a8c\u8868\u660e\uff0cSIMPLE \u76f8\u8f83\u4e8e\u73b0\u6709\u65b9\u6cd5\u53d6\u5f97\u4e86\u663e\u8457\u7684\u6027\u80fd\u63d0\u5347\uff0c\u5e76\u4e14\u901a\u8fc7\u6269\u5927\u9884\u8bad\u7ec3\u6a21\u578b\u6c60\uff0cSIMPLE \u7684\u6548\u679c\u80fd\u8fdb\u4e00\u6b65\u64e2\u5347\u3002\u4e0e\u9700\u8981\u5fae\u8c03\u9884\u8bad\u7ec3\u6a21\u578b\u7684\u4f20\u7edf\u9886\u57df\u6cdb\u5316\u65b9\u6cd5\u76f8\u6bd4\uff0cSIMPLE\u7684\u8bad\u7ec3\u8fd8\u8fbe\u5230\u4e861000\u500d\u7684\u63d0\u901f\u3002<\/p>\n\n\n\n<p><\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"283\" src=\"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/iclr-2023-ml-robustness-4-1024x283.jpg\" alt=\"\u56fe2\uff1a\u5728 TerraIncognita \u6570\u636e\u96c6\u7684\u4e0d\u540c\u9886\u57df\u548c\u4e0d\u540c\u7c7b\u522b\u4e2d\uff0c\u9884\u8bad\u7ec3\u6a21\u578b\u7684\u5206\u7c7b\u6027\u80fd\u6bd4\u8f83\" class=\"wp-image-1071942\" srcset=\"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/iclr-2023-ml-robustness-4-1024x283.jpg 1024w, https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/iclr-2023-ml-robustness-4-300x83.jpg 300w, https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/iclr-2023-ml-robustness-4-768x213.jpg 768w, https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/iclr-2023-ml-robustness-4-240x66.jpg 240w, https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/iclr-2023-ml-robustness-4.jpg 1427w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><figcaption class=\"wp-element-caption\">\u56fe2\uff1a\u5728 TerraIncognita \u6570\u636e\u96c6\u7684\u4e0d\u540c\u9886\u57df\u548c\u4e0d\u540c\u7c7b\u522b\u4e2d\uff0c\u9884\u8bad\u7ec3\u6a21\u578b\u7684\u5206\u7c7b\u6027\u80fd\u6bd4\u8f83<\/figcaption><\/figure>\n\n\n\n<p id=\"caption-attachment-44878\"><\/p>\n\n\n\n<p><\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"373\" src=\"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/iclr-2023-ml-robustness-5-1024x373.jpg\" alt=\"\u56fe3\uff1a\u89e3\u51b3\u9886\u57df\u6cdb\u5316\u95ee\u9898\u7684\u4e0d\u540c\u8bad\u7ec3\u8303\u5f0f\" class=\"wp-image-1071945\" srcset=\"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/iclr-2023-ml-robustness-5-1024x373.jpg 1024w, https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/iclr-2023-ml-robustness-5-300x109.jpg 300w, https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/iclr-2023-ml-robustness-5-768x280.jpg 768w, https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/iclr-2023-ml-robustness-5-240x87.jpg 240w, https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/iclr-2023-ml-robustness-5.jpg 1427w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><figcaption class=\"wp-element-caption\">\u56fe3\uff1a\u89e3\u51b3\u9886\u57df\u6cdb\u5316\u95ee\u9898\u7684\u4e0d\u540c\u8bad\u7ec3\u8303\u5f0f<\/figcaption><\/figure>\n\n\n\n<p id=\"caption-attachment-44879\"><\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"diversify-\u9488\u5bf9\u52a8\u6001\u6570\u636e\u5206\u5e03\u7684ood\u8868\u5f81\u5b66\u4e60\u65b0\u8303\u5f0f\">DIVERSIFY: \u9488\u5bf9\u52a8\u6001\u6570\u636e\u5206\u5e03\u7684OOD\u8868\u5f81\u5b66\u4e60\u65b0\u8303\u5f0f<\/h3>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"227\" src=\"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/iclr-2023-ml-robustness-6-1024x227.png\" alt=\"paper screenshot\" class=\"wp-image-1071948\" srcset=\"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/iclr-2023-ml-robustness-6-1024x227.png 1024w, https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/iclr-2023-ml-robustness-6-300x66.png 300w, https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/iclr-2023-ml-robustness-6-768x170.png 768w, https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/iclr-2023-ml-robustness-6-1536x340.png 1536w, https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/iclr-2023-ml-robustness-6-240x53.png 240w, https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/iclr-2023-ml-robustness-6.png 1670w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<p>\u8bba\u6587\u94fe\u63a5\uff1ahttps:\/\/arxiv.org\/abs\/2209.07027<\/p>\n\n\n\n<p>\u4ee3\u7801\u94fe\u63a5\uff1ahttps:\/\/github.com\/microsoft\/robustlearn<\/p>\n\n\n\n<p>\u5206\u5e03\u5916\u6cdb\u5316\uff08Out-of-distribution generalization\uff09\u662f\u673a\u5668\u5b66\u4e60\u4e2d\u7684\u4e00\u4e2a\u91cd\u8981\u95ee\u9898\u3002\u6709\u522b\u4e8e\u4f20\u7edf\u5047\u8bbe\u8ba4\u4e3a\u6570\u636e\u5206\u5e03\u662f\u7ed9\u5b9a\u7684\u4e00\u4e2a\u9759\u6001\u5206\u5e03\uff0c\u771f\u5b9e\u751f\u6d3b\u4e2d\u7684\u6570\u636e\u662f\u52a8\u6001\u53d8\u5316\u7684\u3002\u4f8b\u5982\uff0c\u4eba\u7684\u9762\u90e8\u3001\u5730\u533a\u7684\u536b\u661f\u56fe\u3001\u4eba\u7684\u58f0\u97f3\u7b49\uff0c\u5747\u4f1a\u968f\u65f6\u95f4\u52a8\u6001\u53d8\u5316\u3002\u76ee\u524d\u5df2\u6709\u7684\u9488\u5bf9\u9759\u6001\u5206\u5e03\u8fdb\u884c OOD \u6cdb\u5316\u7684\u7814\u7a76\u8fd8\u65e0\u6cd5\u5904\u7406\u52a8\u6001\u5206\u5e03\u7684\u60c5\u5f62\u3002\u56e0\u6b64\uff0c\u672c\u6587\u5c1d\u8bd5\u4ee5\u65f6\u95f4\u5e8f\u5217\u4e3a\u4f8b\uff0c\u4ece\u5206\u5e03\u7684\u89d2\u5ea6\u6765\u770b\u5f85\u6b64\u95ee\u9898\u3002\u56e0\u4e3a\u5206\u5e03\u52a8\u6001\u53d8\u5316\u7684\u6570\u636e\u96c6\u7684\u590d\u6742\u6027\u53ef\u80fd\u5f52\u56e0\u4e8e\u5b58\u5728\u672a\u77e5\u7684\u6f5c\u5728\u5206\u5e03\u3002<\/p>\n\n\n\n<p>\u4e3a\u6b64\uff0c\u7814\u7a76\u5458\u4eec\u63d0\u51fa\u4e86 DIVERSIFY\uff0c \u7528\u4e8e\u52a8\u6001\u5206\u5e03\u7684\u6cdb\u5316\u8868\u793a\u5b66\u4e60\u3002\u901a\u8fc7\u6316\u6398\u6570\u636e\u7684\u6f5c\u5728\u5206\u5e03\uff0c\u5229\u7528\u5bf9\u6297\u7684\u5f62\u5f0f\uff0cDIVERSIFY \u83b7\u53d6\u7684\u7279\u5f81\u8868\u793a\u66f4\u52a0\u591a\u6837\u3001\u9c81\u68d2\u3001\u6709\u6548\uff0c\u5e76\u4e14\u5176\u6709\u6548\u6027\u4e5f\u80fd\u4ece\u7406\u8bba\u4e0a\u5f97\u4ee5\u9a8c\u8bc1\u3002\u5728\u591a\u4e2a\u65f6\u95f4\u5e8f\u5217\u516c\u5f00\u6570\u636e\u96c6\u4e0a\u7684\u5b9e\u9a8c\u7ed3\u679c\u8868\u660e\uff0cDIVERSIFY \u83b7\u5f97\u7684\u7279\u5f81\u66f4\u591a\u6837\u3001\u9c81\u68d2\uff0c\u4e14\u6240\u63d0\u51fa\u7684\u65b9\u6cd5\u5bf9\u573a\u666f\u4f9d\u8d56\u5ea6\u4f4e\uff0c\u66f4\u52a0\u901a\u7528\u3001\u5bb9\u6613\u62d3\u5c55\u5230\u5176\u4ed6\u975e\u65f6\u95f4\u5e8f\u5217\u6570\u636e\uff0c\u5982\u56fe\u50cf\u548c\u89c6\u9891\u4e2d\u3002<\/p>\n\n\n\n<p><\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"611\" src=\"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/iclr-2023-ml-robustness-7-1024x611.png\" alt=\"\u56fe4: DIVERSIFY \u7684\u6846\u67b6\" class=\"wp-image-1071951\" srcset=\"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/iclr-2023-ml-robustness-7-1024x611.png 1024w, https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/iclr-2023-ml-robustness-7-300x179.png 300w, https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/iclr-2023-ml-robustness-7-768x458.png 768w, https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/iclr-2023-ml-robustness-7-240x143.png 240w, https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/iclr-2023-ml-robustness-7.png 1247w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><figcaption class=\"wp-element-caption\">\u56fe4: DIVERSIFY \u7684\u6846\u67b6<\/figcaption><\/figure>\n\n\n\n<p id=\"caption-attachment-44881\"><\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"softmatch-\u5b9e\u73b0\u534a\u76d1\u7763\u5b66\u4e60\u4e2d\u4f2a\u6807\u7b7e\u8d28\u91cf\u548c\u6570\u91cf\u7684\u6743\u8861\">SoftMatch: \u5b9e\u73b0\u534a\u76d1\u7763\u5b66\u4e60\u4e2d\u4f2a\u6807\u7b7e\u8d28\u91cf\u548c\u6570\u91cf\u7684\u6743\u8861<\/h3>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"304\" src=\"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/iclr-2023-ml-robustness-8-1024x304.png\" alt=\"paper screenshot\" class=\"wp-image-1071954\" srcset=\"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/iclr-2023-ml-robustness-8-1024x304.png 1024w, https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/iclr-2023-ml-robustness-8-300x89.png 300w, https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/iclr-2023-ml-robustness-8-768x228.png 768w, https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/iclr-2023-ml-robustness-8-1536x457.png 1536w, https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/iclr-2023-ml-robustness-8-240x71.png 240w, https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/iclr-2023-ml-robustness-8.png 1756w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<p>\u8bba\u6587\u94fe\u63a5\uff1ahttps:\/\/arxiv.org\/abs\/2301.10921<\/p>\n\n\n\n<p>\u4ee3\u7801\u94fe\u63a5\uff1ahttps:\/\/github.com\/microsoft\/Semi-supervised-learning<\/p>\n\n\n\n<p>\u5728\u4ee5\u5f80\u7684\u534a\u76d1\u7763\u5b66\u4e60\u5de5\u4f5c\u4e2d\uff0c\u7f6e\u4fe1\u5ea6\u9608\u503c\uff08confidence thresholding\uff09\u662f\u6bd4\u8f83\u4e3b\u6d41\u7684\u5229\u7528\u4f2a\u6807\u7b7e\u7684\u65b9\u5f0f\u3002\u6bd4\u5982\u5728 FixMatch \u4e2d\uff0c\u7f6e\u4fe1\u5ea6\u9ad8\u4e8e\u9608\u503c(0.9)\u7684\u6570\u636e\u7684\u4f2a\u6807\u7b7e\u4f1a\u76f4\u63a5\u5f15\u5165\u5230\u8bad\u7ec3\u4e2d\u3002\u901a\u8fc7\u8bbe\u5b9a\u8f83\u9ad8\u7684\u9608\u503c, \u4f2a\u6807\u7b7e\u7684\u8d28\u91cf(\u5373\u6b63\u786e\u6027)\u53ef\u4ee5\u5f97\u5230\u4fdd\u8bc1\u3002<\/p>\n\n\n\n<p>\u4f46\u662f\uff0c\u4e00\u7cfb\u5217\u52a8\u6001\u9608\u503c\u7684\u5de5\u4f5c\u5982 FlexMatch (NeurIPS&#8217;21) \u548c FreeMatch (ICLR&#8217;23) \u6307\u51fa\uff0c\u8fc7\u9ad8\u7684\u9608\u503c\u4e22\u5f03\u4e86\u5f88\u591a\u4e0d\u786e\u5b9a\u7684\u4f2a\u6807\u7b7e\uff0c\u8fd9\u5c06\u5bfc\u81f4\u7c7b\u522b\u4e4b\u95f4\u7684\u5b66\u4e60\u4e0d\u5e73\u8861\uff0c\u5e76\u4e14\u4f2a\u6807\u7b7e\u7684\u5229\u7528\u7387\u8f83\u4f4e\u3002\u52a8\u6001\u9608\u503c\u901a\u8fc7\u524d\u671f\u964d\u4f4e\u4e0d\u540c\u7c7b\u522b\u6216\u4e0d\u540c\u6570\u636e\u7684\u9608\u503c\uff0c\u6765\u5f15\u5165\u66f4\u591a\u7684\u4f2a\u6807\u7b7e\u53c2\u4e0e\u524d\u671f\u8bad\u7ec3\uff0c\u4f46\u8fd9\u5c06\u4e0d\u53ef\u907f\u514d\u5730\u5f15\u5165\u4f4e\u8d28\u91cf\u4f2a\u6807\u7b7e\uff0c\u56e0\u6b64\u7814\u7a76\u5458\u4eec\u63d0\u51fa\u4e86 SoftMatch\uff0c\u7740\u91cd\u89e3\u51b3\u5982\u4f55\u5bfb\u6c42\u4f2a\u6807\u7b7e\u6570\u91cf\u4e0e\u8d28\u91cf\u95f4\u7684\u5e73\u8861\u3002\u8be5\u5de5\u4f5c\u5728\u56fe\u50cf\u3001\u6587\u672c\u3001\u957f\u5c3e\u5206\u7c7b\u4e0a\u5747\u53d6\u5f97\u4e86\u6700\u597d\u7684\u6548\u679c\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u7f16\u8005\u6309\uff1a\u56fd\u9645\u5b66\u4e60\u8868\u5f81\u4f1a\u8bae ICLR\uff08International Conference on Learning Representations\uff09\uff0c\u88ab\u516c\u8ba4\u4e3a\u5f53\u524d\u6700\u5177\u5f71\u54cd\u529b\u7684\u673a\u5668\u5b66\u4e60\u56fd\u9645\u5b66\u672f\u4f1a\u8bae\u4e4b\u4e00\u3002\u5728\u4eca\u5e74\u7684 ICLR 2023 \u5927\u4f1a\u4e0a\uff0c\u5fae\u8f6f\u4e9a\u6d32\u7814\u7a76\u9662\u53d1\u8868\u4e86\u5728\u673a\u5668\u5b66\u4e60\u9c81\u68d2\u6027\u3001\u8d1f\u8d23\u4efb\u7684\u4eba\u5de5\u667a\u80fd\u7b49\u9886\u57df\u7684\u6700\u65b0\u7814\u7a76\u6210\u679c\u3002\u7ee7 ICLR 2023 \u6770\u51fa\u8bba\u6587\u5956\u5f97\u4e3b\u7684\u72ec\u5bb6\u5206\u4eab\u540e\uff0c\u672c\u671f\u5c06\u5e26\u6765\u5fae\u8f6f\u4e9a\u6d32\u7814\u7a76\u9662\u5728\u673a\u5668\u5b66\u4e60\u9c81\u68d2\u6027\u65b9\u9762\u7684\u56db\u7bc7\u7814\u7a76\u6210\u679c\uff0c\u5176\u7814\u7a76\u4e3b\u9898\u5206\u522b\u4e3a\u9886\u57df\u6cdb\u5316\u95ee\u9898\u3001\u5206\u5e03\u5916\u6cdb\u5316\u3001\u81ea\u9002\u5e94\u9608\u503c\u6cd5\u4e0e\u534a\u76d1\u7763\u5b66\u4e60\u4e2d\u4f2a\u6807\u7b7e\u8d28\u91cf\u6570\u91cf\u7684\u6743\u8861\u3002 \u8bba\u6587\u94fe\u63a5\uff1ahttps:\/\/arxiv.org\/abs\/2205.07246 \u4ee3\u7801\u94fe\u63a5\uff1ahttps:\/\/github.com\/microsoft\/Semi-supervised-learning \u8fd1\u5e74\u6765\uff0c\u57fa\u4e8e\u9608\u503c\u7684\u4f2a\u6807\u7b7e\u65b9\u6cd5\u7684\u534a\u76d1\u7763\u65b9\u6cd5\u53d6\u5f97\u4e86\u5de8\u5927\u6210\u529f\u3002\u7136\u800c\uff0c\u73b0\u6709\u65b9\u6cd5\u53ef\u80fd\u65e0\u6cd5\u6709\u6548\u5730\u5229\u7528\u672a\u6807\u8bb0\u6570\u636e\u3002\u8fd9\u4e9b\u4f7f\u7528\u9884\u5b9a\u4e49\u6216\u8005\u56fa\u5b9a\u9608\u503c\uff0c\u6291\u6216\u4e13\u95e8\u7684\u542f\u53d1\u5f0f\u9608\u503c\u8c03\u6574\u65b9\u6848\u7684\u65b9\u6cd5\u5c06\u5bfc\u81f4\u6a21\u578b\u6027\u80fd\u4f4e\u4e0b\u4ee5\u53ca\u8f83\u6162\u7684\u6536\u655b\u3002 \u5bf9\u6b64\uff0c\u7814\u7a76\u5458\u4eec\u9996\u5148\u5728\u7406\u8bba\u5c42\u9762\u5206\u6790\u4e86\u4e00\u4e2a\u7b80\u5355\u7684\u4e8c\u5206\u7c7b\u6a21\u578b\uff0c\u5f97\u51fa\u4e86\u7406\u60f3\u9608\u503c\u548c\u6a21\u578b\u5b66\u4e60\u72b6\u6001\u4e4b\u95f4\u7684\u5173\u7cfb\u3002\u8fdb\u800c\uff0c\u7814\u7a76\u5458\u4eec\u63d0\u51fa\u4e86 FreeMatch\uff0c\u5176\u80fd\u591f\u6839\u636e\u6a21\u578b\u7684\u5b66\u4e60\u72b6\u6001\uff0c\u4ee5\u81ea\u9002\u5e94\u7684\u65b9\u5f0f\u8c03\u6574\u7f6e\u4fe1\u5ea6\u9608\u503c\u3002\u7814\u7a76\u5458\u4eec\u8fd8\u8fdb\u4e00\u6b65\u5f15\u5165\u4e86\u81ea\u9002\u5e94\u7c7b\u516c\u5e73\u6b63\u5219\u5316\u60e9\u7f5a\uff0c\u9f13\u52b1\u6a21\u578b\u5728\u65e9\u671f\u8bad\u7ec3\u9636\u6bb5\u8fdb\u884c\u591a\u6837\u5316\u9884\u6d4b\u3002\u5e7f\u6cdb\u7684\u5b9e\u9a8c\u8868\u660e\uff0cFreeMatch \u6027\u80fd\u4f18\u8d8a\uff0c\u5c24\u5176\u662f\u5f53\u6807\u8bb0\u6570\u636e\u6781\u5176\u7a00\u5c11\u65f6\u3002\u8be5\u5de5\u4f5c\u662f ICLR 2023 \u5927\u4f1a\u4e0a\u534a\u76d1\u7763\u5b66\u4e60\u9886\u57df\u7684\u6700\u9ad8\u5206\u8bba\u6587\u3002 \u8bba\u6587\u94fe\u63a5\uff1ahttps:\/\/openreview.net\/forum?id=BqrPeZ_e5P \u9879\u76ee\u4e3b\u9875\uff1aSIMPLE: Specialized Model-Sample Matching for Domain Generalization (seqml.github.io) \u5728\u4eba\u5de5\u667a\u80fd\u9886\u57df\u4e2d\uff0c\u9886\u57df\u6cdb\u5316\uff08domain generalization\uff09\u95ee\u9898\u4e00\u76f4\u5907\u53d7\u5173\u6ce8\u3002\u5728\u9886\u57df\u6cdb\u5316\u4efb\u52a1\u4e2d\uff0c\u5927\u591a\u6570\u73b0\u6709\u65b9\u6cd5\u662f\u901a\u8fc7\u5bf9\u7279\u5b9a\u7684\u9884\u8bad\u7ec3\u6a21\u578b\u5fae\u8c03\uff08fine-tuning\uff09\uff0c\u5e76\u5f00\u53d1\u9886\u57df\u6cdb\u5316\u7b97\u6cd5\u6765\u89e3\u51b3\u8be5\u95ee\u9898\u3002 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\u57fa\u4e8e\u4ee5\u4e0a\u53d1\u73b0\uff0c\u7814\u7a76\u5458\u4eec\u63d0\u51fa\u4e86\u4e00\u79cd\u65e0\u9700\u518d\u5fae\u8c03\u7684\u5168\u65b0\u7684\u9886\u57df\u6cdb\u5316\u7b97\u6cd5\uff1aSIMPLE\u3002\u8be5\u65b9\u6cd5\u57fa\u4e8e\u6a21\u578b-\u6837\u672c\u5339\u914d\u7b56\u7565\uff0c\u6839\u636e\u6d4b\u8bd5\u6837\u672c\u7684\u7279\u5f81\uff0c\u9009\u62e9\u4e86\u5408\u9002\u7684\u9884\u8bad\u7ec3\u6a21\u578b\u6765\u8fdb\u884c\u9884\u6d4b\uff0c\u663e\u8457\u63d0\u9ad8\u4e86\u9886\u57df\u6cdb\u5316\u7684\u6027\u80fd\u3002\u5728\u65b9\u6cd5\u4e0a\uff0cSIMPLE \u9996\u5148\u5c06\u9884\u8bad\u7ec3\u6a21\u578b\u7684\u8f93\u51fa\u7a7a\u95f4\u8fdb\u884c\u7ebf\u6027\u8f6c\u6362\u4ee5\u9002\u5e94\u76ee\u6807\u9886\u57df\u3002\u7136\u540e\uff0c\u901a\u8fc7\u5177\u6709\u6a21\u578b\u4e13\u4e1a\u6027\uff08specialty\uff09\u611f\u77e5\u7684\u5339\u914d\u7f51\u7edc\u4e3a\u6bcf\u4e2a\u6d4b\u8bd5\u6837\u672c\u52a8\u6001\u5339\u914d\u5408\u9002\u7684\u9884\u8bad\u7ec3\u6a21\u578b\u8fdb\u884c\u9884\u6d4b\u3002\u5b9e\u9a8c\u8868\u660e\uff0cSIMPLE \u76f8\u8f83\u4e8e\u73b0\u6709\u65b9\u6cd5\u53d6\u5f97\u4e86\u663e\u8457\u7684\u6027\u80fd\u63d0\u5347\uff0c\u5e76\u4e14\u901a\u8fc7\u6269\u5927\u9884\u8bad\u7ec3\u6a21\u578b\u6c60\uff0cSIMPLE \u7684\u6548\u679c\u80fd\u8fdb\u4e00\u6b65\u64e2\u5347\u3002\u4e0e\u9700\u8981\u5fae\u8c03\u9884\u8bad\u7ec3\u6a21\u578b\u7684\u4f20\u7edf\u9886\u57df\u6cdb\u5316\u65b9\u6cd5\u76f8\u6bd4\uff0cSIMPLE\u7684\u8bad\u7ec3\u8fd8\u8fbe\u5230\u4e861000\u500d\u7684\u63d0\u901f\u3002 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