{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,20]],"date-time":"2025-07-20T22:43:21Z","timestamp":1753051401820,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":37,"publisher":"ACM","license":[{"start":{"date-parts":[[2020,10,19]],"date-time":"2020-10-19T00:00:00Z","timestamp":1603065600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"Key R&D Projects of Science and Technology Department of Jilin Province, China","award":["No.20180201003SF"],"award-info":[{"award-number":["No.20180201003SF"]}]},{"name":"National Natural Science Foundation of China (NSFC)","award":["No.61876071"],"award-info":[{"award-number":["No.61876071"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2020,10,19]]},"DOI":"10.1145\/3340531.3411885","type":"proceedings-article","created":{"date-parts":[[2020,10,19]],"date-time":"2020-10-19T06:18:51Z","timestamp":1603088331000},"page":"725-734","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":5,"title":["Learning with Noisy Partial Labels by Simultaneously Leveraging Global and Local Consistencies"],"prefix":"10.1145","author":[{"given":"Changchun","family":"Li","sequence":"first","affiliation":[{"name":"Jilin University, Changchun, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ximing","family":"Li","sequence":"additional","affiliation":[{"name":"Jilin University, Changchun, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jihong","family":"Ouyang","sequence":"additional","affiliation":[{"name":"Jilin University, Changchun, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2020,10,19]]},"reference":[{"key":"e_1_3_2_2_1_1","volume-title":"Rank-Loss Support Instance Machines for MIML Instance Annotation. In International Conference on Knowledge Discovery and Data Mining. 534--542","author":"Briggs Forrest","year":"2012","unstructured":"Forrest Briggs , Xiaoli Z. Fern , and Raviv Raich . 2012 . Rank-Loss Support Instance Machines for MIML Instance Annotation. In International Conference on Knowledge Discovery and Data Mining. 534--542 . Forrest Briggs, Xiaoli Z. Fern, and Raviv Raich. 2012. Rank-Loss Support Instance Machines for MIML Instance Annotation. In International Conference on Knowledge Discovery and Data Mining. 534--542."},{"key":"e_1_3_2_2_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2723401"},{"key":"e_1_3_2_2_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2014.2359642"},{"key":"e_1_3_2_2_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2014.2377016"},{"key":"e_1_3_2_2_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206667"},{"key":"e_1_3_2_2_6_1","doi-asserted-by":"publisher","DOI":"10.5555\/1953048.2021049"},{"key":"e_1_3_2_2_7_1","volume-title":"Leveraging Latent Label Distributions for Partial Label Learning. In International Joint Conference on Artificial Intelligence. 2107--2113","author":"Feng Lei","year":"2018","unstructured":"Lei Feng and Bo An . 2018 . Leveraging Latent Label Distributions for Partial Label Learning. In International Joint Conference on Artificial Intelligence. 2107--2113 . Lei Feng and Bo An. 2018. Leveraging Latent Label Distributions for Partial Label Learning. In International Joint Conference on Artificial Intelligence. 2107--2113."},{"key":"e_1_3_2_2_8_1","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/318"},{"key":"e_1_3_2_2_9_1","volume-title":"Partial Label Learning with Self-Guided Retraining. In AAAI Conference on Artificial Intelligence. 3542--3549","author":"Feng Lei","year":"2019","unstructured":"Lei Feng and Bo An . 2019 b . Partial Label Learning with Self-Guided Retraining. In AAAI Conference on Artificial Intelligence. 3542--3549 . Lei Feng and Bo An. 2019 b. Partial Label Learning with Self-Guided Retraining. In AAAI Conference on Artificial Intelligence. 3542--3549."},{"key":"e_1_3_2_2_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2004.831028"},{"key":"e_1_3_2_2_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2017.2669639"},{"key":"e_1_3_2_2_12_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-15549-9_46"},{"key":"e_1_3_2_2_13_1","doi-asserted-by":"publisher","DOI":"10.5555\/1609935.1609938"},{"key":"e_1_3_2_2_14_1","volume-title":"Superset Learning Based on Generalized Loss Minimization. In European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. 260--275","author":"H\u00fcllermeier Eyke","year":"2015","unstructured":"Eyke H\u00fcllermeier and Weiwei Cheng . 2015 . Superset Learning Based on Generalized Loss Minimization. In European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. 260--275 . Eyke H\u00fcllermeier and Weiwei Cheng. 2015. Superset Learning Based on Generalized Loss Minimization. In European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. 260--275."},{"key":"e_1_3_2_2_15_1","unstructured":"Rong Jin and Zoubin Ghahramani. 2002. Learning with Multiple Labels. In Neural Information Processing Systems. 897--904.  Rong Jin and Zoubin Ghahramani. 2002. Learning with Multiple Labels. In Neural Information Processing Systems. 897--904."},{"key":"e_1_3_2_2_16_1","volume-title":"Dietterich","author":"Liu Li-Ping","year":"2012","unstructured":"Li-Ping Liu and Thomas G . Dietterich . 2012 . A Conditional Multinomial Mixture Model for Superset Label Learning. In Neural Information Processing Systems . 557--565. Li-Ping Liu and Thomas G. Dietterich. 2012. A Conditional Multinomial Mixture Model for Superset Label Learning. In Neural Information Processing Systems. 557--565."},{"volume-title":"Learnability of the Superset Label Learning Problem. In International Conference on Machine Learning. 1629--1637","author":"Liu Li-Ping","key":"e_1_3_2_2_17_1","unstructured":"Li-Ping Liu and Thomas G. Dietterich . 2014 . Learnability of the Superset Label Learning Problem. In International Conference on Machine Learning. 1629--1637 . Li-Ping Liu and Thomas G. Dietterich. 2014. Learnability of the Superset Label Learning Problem. In International Conference on Machine Learning. 1629--1637."},{"key":"e_1_3_2_2_18_1","unstructured":"Jie Luo and Francesco Orabona. 2010. Learning from Candidate Labeling Sets. In Neural Information Processing Systems. 1504--1512.  Jie Luo and Francesco Orabona. 2010. Learning from Candidate Labeling Sets. In Neural Information Processing Systems. 1504--1512."},{"key":"e_1_3_2_2_19_1","volume-title":"Classification with Partial Labels. In ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. 551--559","author":"Nguyen Nam","year":"2008","unstructured":"Nam Nguyen and Rich Caruana . 2008 . Classification with Partial Labels. In ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. 551--559 . Nam Nguyen and Rich Caruana. 2008. Classification with Partial Labels. In ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. 551--559."},{"key":"e_1_3_2_2_20_1","volume-title":"An Overview of Research Activities in Facial Age Estimation Using the FG-NET Aging Database. In European Conference on Computer Vision. 737--750","author":"Panis Gabriel","year":"2014","unstructured":"Gabriel Panis and Andreas Lanitis . 2014 . An Overview of Research Activities in Facial Age Estimation Using the FG-NET Aging Database. In European Conference on Computer Vision. 737--750 . Gabriel Panis and Andreas Lanitis. 2014. An Overview of Research Activities in Facial Age Estimation Using the FG-NET Aging Database. In European Conference on Computer Vision. 737--750."},{"key":"e_1_3_2_2_21_1","doi-asserted-by":"publisher","DOI":"10.5555\/1953048.2078195"},{"volume-title":"Regularization, Optimization, and Beyond","author":"Sch\u00f6lkopf Bernhard","key":"e_1_3_2_2_22_1","unstructured":"Bernhard Sch\u00f6lkopf and Alexander Johannes Smola . 2002. Learning with Kernels: Support Vector Machines , Regularization, Optimization, and Beyond . The MIT Press . Bernhard Sch\u00f6lkopf and Alexander Johannes Smola. 2002. Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond .The MIT Press."},{"key":"e_1_3_2_2_23_1","volume-title":"Lanckriet","author":"Sriperumbudur Bharath K.","year":"2009","unstructured":"Bharath K. Sriperumbudur and Gert R. G . Lanckriet . 2009 . On the Convergence of the Concave-Convex Procedure. In Neural Information Processing Systems . 1759--1767. Bharath K. Sriperumbudur and Gert R. G. Lanckriet. 2009. On the Convergence of the Concave-Convex Procedure. In Neural Information Processing Systems. 1759--1767."},{"key":"e_1_3_2_2_24_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-010-5226-3"},{"key":"e_1_3_2_2_25_1","volume-title":"Confidence-Rated Discriminative Partial Label Learning. In AAAI Conference on Artificial Intelligence. 2611--2617","author":"Tang Cai-Zhi","year":"2017","unstructured":"Cai-Zhi Tang and Min-Ling Zhang . 2017 . Confidence-Rated Discriminative Partial Label Learning. In AAAI Conference on Artificial Intelligence. 2611--2617 . Cai-Zhi Tang and Min-Ling Zhang. 2017. Confidence-Rated Discriminative Partial Label Learning. In AAAI Conference on Artificial Intelligence. 2611--2617."},{"key":"e_1_3_2_2_26_1","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2011.2109934"},{"key":"e_1_3_2_2_27_1","volume-title":"Towards Enabling Binary Decomposition for Partial Label Learning. In International Joint Conference on Artificial Intelligence. 2868--2874","author":"Wu Xuan","year":"2018","unstructured":"Xuan Wu and Min-Ling Zhang . 2018 . Towards Enabling Binary Decomposition for Partial Label Learning. In International Joint Conference on Artificial Intelligence. 2868--2874 . Xuan Wu and Min-Ling Zhang. 2018. Towards Enabling Binary Decomposition for Partial Label Learning. In International Joint Conference on Artificial Intelligence. 2868--2874."},{"key":"e_1_3_2_2_28_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33015557"},{"key":"e_1_3_2_2_29_1","volume-title":"Maximum Margin Partial Label Learning. In Asian Conference on Machine Learning. 96--111","author":"Yu Fei","year":"2015","unstructured":"Fei Yu and Min-Ling Zhang . 2015 . Maximum Margin Partial Label Learning. In Asian Conference on Machine Learning. 96--111 . Fei Yu and Min-Ling Zhang. 2015. Maximum Margin Partial Label Learning. In Asian Conference on Machine Learning. 96--111."},{"key":"e_1_3_2_2_30_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-016-5606-4"},{"key":"e_1_3_2_2_31_1","volume-title":"Yuille and Anand Rangarajan","author":"Alan","year":"2001","unstructured":"Alan L. Yuille and Anand Rangarajan . 2001 . The Concave-Convex Procedure (CCCP). In Neural Information Processing Systems . 1033--1040. Alan L. Yuille and Anand Rangarajan. 2001. The Concave-Convex Procedure (CCCP). In Neural Information Processing Systems. 1033--1040."},{"key":"e_1_3_2_2_32_1","doi-asserted-by":"publisher","DOI":"10.1162\/08997660360581958"},{"key":"e_1_3_2_2_33_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2013.97"},{"key":"e_1_3_2_2_34_1","volume-title":"Solving the Partial Label Learning Problem: An Instance-Based Approach. In International Joint Conference on Artificial Intelligence. 4048--4054","author":"Zhang Min-Ling","year":"2015","unstructured":"Min-Ling Zhang and Fei Yu . 2015 . Solving the Partial Label Learning Problem: An Instance-Based Approach. In International Joint Conference on Artificial Intelligence. 4048--4054 . Min-Ling Zhang and Fei Yu. 2015. Solving the Partial Label Learning Problem: An Instance-Based Approach. In International Joint Conference on Artificial Intelligence. 4048--4054."},{"key":"e_1_3_2_2_35_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2017.2721942"},{"key":"e_1_3_2_2_36_1","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939788"},{"key":"e_1_3_2_2_37_1","volume-title":"Adaptive Graph Guided Disambiguation for Partial Label Learning. In ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. 83--91","author":"Zhang Min-Ling","year":"2019","unstructured":"Min-Ling Zhang , Bin-Bin Zhou , and Xu-Ying Liu . 2019 . Adaptive Graph Guided Disambiguation for Partial Label Learning. In ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. 83--91 . Min-Ling Zhang, Bin-Bin Zhou, and Xu-Ying Liu. 2019. Adaptive Graph Guided Disambiguation for Partial Label Learning. In ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. 83--91."}],"event":{"name":"CIKM '20: The 29th ACM International Conference on Information and Knowledge Management","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web","SIGIR ACM Special Interest Group on Information Retrieval"],"location":"Virtual Event Ireland","acronym":"CIKM '20"},"container-title":["Proceedings of the 29th ACM International Conference on Information &amp; Knowledge Management"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3340531.3411885","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3340531.3411885","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T00:25:50Z","timestamp":1750206350000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3340531.3411885"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,10,19]]},"references-count":37,"alternative-id":["10.1145\/3340531.3411885","10.1145\/3340531"],"URL":"https:\/\/doi.org\/10.1145\/3340531.3411885","relation":{},"subject":[],"published":{"date-parts":[[2020,10,19]]},"assertion":[{"value":"2020-10-19","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}