{“状态”:“确定”,“消息类型”:“工作”,“信息版本”:“1.0.0”,“邮件”:{“索引”:{“日期-部件”:[[2024,3,2],“日期-时间”:“2024-03-02T02:41:03Z”,“时间戳”:1709347263379},“引用-计数”:41,“发布者”:“IEEE”,“许可证”:[{“开始”:{-“日期-部分”:[2023,10,1]],“日期时间”:”2023-10-01T00:00:00Z“,”timestamp“:1696118400000},”content-version“:”stm-asf“,“delay-in-days”:0,“URL”:“https:\\/doi.org\/10.15223\/policy-029”},{“start”:{“date-parts”:[[2023,10]],“date-time”:“2023-10-01T00:00:00Z”,“timestamp”:1696118400000},“content-version”:“stm-asf”,“dellay-in-days”:0域“:{”域“:[],”交叉标记限制“:false},”短容器时间“:[],“published-print”:{“date-parts”:[[2023,10,1]]},“DOI”:“10.1109\/iccv51070.2023.01493”,“type”:“proceedings-article”,“created”:{“date-parts”:[[2024,15]],“date-time”:“2024-01-15T20:55:59Z”,“timestamp”:1705352159000},”source“Crossref”,“is-referenced-by-count”:0,“title”:[“增强型元标签更正以应对标签腐败“],”前缀“:“10.1109”,“作者”:[{“given”:“Mitchell Keren”,“family”:“Taraday”,“sequence”:“first”,“affiliation”:[}“name”:“Technion–Israel Institute of Technology”}]}泰德比”:“publisher”,“DOI”:“10.1109\/ICPR48806.2021.9412490”},{“key”:“ref2”,“first page”:”312“,“article-title”:“Unsupervised label noise modeling and loss correction”,“volume-title“:”ICML“,”volume“:”97“,”author“:”Arazo“}”,{”key“:“ref3”,“artice-title:“第三十七届国际机器学习会议论文集,ICML\u201920”,“作者”:“Chen”},{“key”:“ref4”,“doi-asserted-by”:“publisher”,“doi”:“10.1111\/j.2517-6161.1958.tb00292.x”}tle“:“用于深度网络快速适应的模型认知元学习”,“volume-title”:“第34届国际机器学习会议论文集”,“卷”:“70”,“作者”:“Finn”},{“key”:“ref7”,“首页”:“1180”,“文章-时间”:“通过反向传播的无监督领域适应”,“volume-tittle”:“第32届国际机器学习会议论文集-第37卷,ICML\u201915”,“作者”:“Ganin”},{“key”:“ref8”,“article-title”:“使用噪声适应层训练深层神经网络”,“Volume-title“:“学习表征国际会议”,“author”:“Goldberger”},“文章标题”:“共教学:具有极端噪声标签的深度神经网络的鲁棒训练”,“卷标题”:“神经信息处理系统的进展”,“卷”:“31”,“作者”:“Han”},{“key”:“ref10”,“doi断言者”:“publisher”,“doi”:“10.1109\/ICCV.2019.00524”},{“key”:“ref11”,“doi断言者”:“publisher”,“doi”:“10.1109\\CVPR52688.202.01553”},{“key”:“ref12”,“doi断言者”:“publisher”,“doi”:“10.1109\\CVPR.2016.90”},{“key”:“ref13”,“author”:“Krizhevsky”,“year”:“2009”,“journal title”:“从微小图像中学习多层特征”},{“key”:“ref14”,“doi断言者”:“publisher”,“doi”:“10.1007\\978-3-031-19806-9_41”},{“key”:“参考文献15”,“文章标题”:“Dividemix:将带有噪音标签的学习作为半监督学习”,“volume-title”:“国际学习代表大会”,“author”:“Li”},{“key”:“ref16”,“doi-asserted-by”:“publisher”,“doi”:“10.1109\/CVPR.2019.00519”}:“Webvision数据库:从web数据进行可视化学习和理解”},{“key”:“ref18”,“article-title”:“DARTS:不同的体系结构搜索”,“volume-title“:“国际学习代表大会”,“author”:“Liu”}:“神经信息处理系统的进展,NIPS\u201920”,“author”:“Liu”},{“key”:“ref20”,“article-title”:“连续正则化超参数的基于梯度的可缩放调谐”,“volume-title“:”机器学习国际会议“,”author“:”Luketina?“,”volume-title“:”学习表征国际会议“,”author“:”Menon“},{”key“:”ref22“,”doi-asserted-by“:”publisher“,”doi“:”10.1109\/CVPR46437.2021.00793“}”,{“key”:“ref23”,“doi-assert-by”:“publisher”,“doi”:“10.1109\/CVPR46437.20021.01139”},”{“密钥”:“ref24”,“article-title”:“”用bootstrapping训练含噪标签上的深层神经网络”,“volume-title”:“第三届国际学习表征会议,ICLR 2015”,“author”:“Reed”},{“key”:“ref25”,“volume-tittle”:”Meta-Weight-Net:Learning an Explicit Mapping for Sample Weighting“,“author”:“Shu”,“year”:“2019”}10.1109 \/CVPR.2018.00582“},{“key”:“ref27”,“doi-asserted-by”:“publisher”,“doi”:“10.1109 \/CVPR.2018年05月82日”},},“key“:”ref28“,”doi-assert-by“:”publisher“,”doi“:”10.1109 \\CVPR52729.2023.01553“卷”:“9”,“作者”:“范德马滕”,“年份”:“2008”,“journal-title“:”journal of Machine Learning Research“},{“key”:“ref30”,“doi-asserted-by”:“publisher”,“doi”:“10.1609\/aaaai.v35i12.17244”},“key“:”ref31“,”doi-assert-by“:”publisher“,”doi“:”10.1109\/CVPR.2015.7298885“}me-title“:”神经信息处理系统进展”,“卷”:“33”,“作者”:“谢”},{“键”:“ref33”,”doi-asserted-by“:”publisher“,”doi“:”10.1109\/CVPR46437.2021.00021“},”{“key”:“ref34”,“doi-assert-by”:“publisher”,“doi”:“10.1109\/CVPR.2019.00718”}3446776“},{”key“:”ref36“,”doi-asserted-by“:”publisher“,”DOI“:”10.1007\/9781-4899-7687-1_79“},{“key”:“ref37”,“DOI-asserted-by”:“publisher”,“DOI”:“10.1109\/CVPR.2019.00755”},“key“:”ref38“,”DOI-assert-by“:”publisher 109\/WACV51458.2022.00046“},{”key“:”ref40“,”DOI-asserted-by“:”publisher“,”DOI“:”10.1609 \/aaai.v35i12.17319“},{“key”:“ref41”,“doi-asserted-by”:“publisher”,“doi”:“10.1162 \/neco_a_01547”}],“event”:{“name”:“2023 IEEE \/CVF国际计算机视觉会议(ICCV)”,“location”:“Paris,France”,“start”:{date-parts”:[2023,10,1]},“end”:{“date-part”:[[2023,10,6]]}},”集装箱标签“:[”2023 IEEE \/CVF国际计算机视觉会议(ICCV)“],”original-title“:[],”link“:[{”URL“:”http://\/xplorestaging.IEEE.org\/ielx7\/10376473\/10376771.pdf?arnumber=10377591“,”content-type“:”unspecified“,”content-version“:”vor“,”intended-application“:”similarity-checking“}],”deposed“:{”date-parts“:[2024,18]],“日期时间”:“2024-01-18T01:16:18Z“,”timestamp“:1705540578000},”score“:1,”resource“:{”primary”:{“URL”:“https:\/\/ieeexplore.iee.org\/document\/10377591\/”}},“subtitle”:[],“shorttitle”:[],“issued”:{“date-parts”:[2023,10,1]]},《references-count》:41,“URL”“http://\/dx.doi.org\/10.109\/”iccv51070.2023.01493“,”关系“:{},”主题“:[],”发布“:{”日期部分“:[[2023,10,1]]}}}