{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,16]],"date-time":"2026-09-16T17:16:09Z","timestamp":1789578969165,"version":"build-2803163510"},"publisher-location":"New York, NY, USA","reference-count":32,"publisher":"ACM","license":[{"start":{"date-parts":[[2019,7,25]],"date-time":"2019-07-25T00:00:00Z","timestamp":1564012800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"National Science Foundation of China","award":["61877051 61573104"],"award-info":[{"award-number":["61877051 61573104"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2019,7,25]]},"DOI":"10.1145\/3292500.3330840","type":"proceedings-article","created":{"date-parts":[[2019,7,26]],"date-time":"2019-07-26T13:17:26Z","timestamp":1564147046000},"page":"83-91","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":65,"title":["Adaptive Graph Guided Disambiguation for Partial Label Learning"],"prefix":"10.1145","author":[{"given":"Deng-Bao","family":"Wang","sequence":"first","affiliation":[{"name":"Southwest University, Chongqing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Li","family":"Li","sequence":"additional","affiliation":[{"name":"Southwest University, Chongqing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Min-Ling","family":"Zhang","sequence":"additional","affiliation":[{"name":"Southeast University &amp; Ministry of Education, Nanjing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2019,7,25]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.artint.2013.06.003"},{"key":"e_1_3_2_1_2_1","volume-title":"Advances in Neural Information Processing Systems 15","author":"Andrews Stuart","unstructured":"Stuart Andrews , Ioannis Tsochantaridis , and Thomas Hofmann . 2003. Support vector machines for multiple-instance learning . In Advances in Neural Information Processing Systems 15 , S. Becker, S. Thrun, and K. Obermayer (Eds.). MIT Press , Cambridge, MA , 577--584. Stuart Andrews, Ioannis Tsochantaridis, and Thomas Hofmann. 2003. Support vector machines for multiple-instance learning. In Advances in Neural Information Processing Systems 15, S. Becker, S. Thrun, and K. Obermayer (Eds.). MIT Press, Cambridge, MA, 577--584."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/2339530.2339616"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2723401"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2014.2359642"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206667"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.5555\/1953048.2021049"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.5555\/3304889.3304952"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/2716262"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2017.2669639"},{"key":"e_1_3_2_1_12_1","series-title":"Lecture Notes in Computer Science 6311","volume-title":"Multiple instance metric learning from automatically labeled bags of faces","author":"Guillaumin Matthieu","unstructured":"Matthieu Guillaumin , Jakob Verbeek , and Cordelia Schmid . 2010. Multiple instance metric learning from automatically labeled bags of faces . In Lecture Notes in Computer Science 6311 , K. Daniilidis, P. Maragos, and N. Paragios (Eds.). Springer , Berlin , 634--647. Matthieu Guillaumin, Jakob Verbeek, and Cordelia Schmid. 2010. Multiple instance metric learning from automatically labeled bags of faces. In Lecture Notes in Computer Science 6311, K. Daniilidis, P. Maragos, and N. Paragios (Eds.). Springer, Berlin, 634--647."},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.5555\/1609935.1609938"},{"key":"e_1_3_2_1_14_1","first-page":"I","article-title":"Learning from complementary labels","volume":"30","author":"Ishida Takashi","year":"2017","unstructured":"Takashi Ishida , Gang Niu , Weihua Hu , and Masashi Sugiyama . 2017 . Learning from complementary labels . In Advances in Neural Information Processing Systems 30 , I . Guyon, U. V. Luxburg, S. Bengio, H. Wallach, R. Fergus, S. Vishwanathan, and R. Garnett (Eds.). Curran Associates, Inc., 5639--5649. Takashi Ishida, Gang Niu, Weihua Hu, and Masashi Sugiyama. 2017. Learning from complementary labels. In Advances in Neural Information Processing Systems 30, I. Guyon, U. V. Luxburg, S. Bengio, H. Wallach, R. Fergus, S. Vishwanathan, and R. Garnett (Eds.). Curran Associates, Inc., 5639--5649.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_1_15_1","volume-title":"Advances in Neural Information Processing Systems 15","author":"Jin Rong","unstructured":"Rong Jin and Zoubin Ghahramani . 2003. Learning with multiple labels . In Advances in Neural Information Processing Systems 15 , S. Becker, S. Thrun, and K. Obermayer (Eds.). MIT Press , Cambridge, MA , 897--904. Rong Jin and Zoubin Ghahramani. 2003. Learning with multiple labels. In Advances in Neural Information Processing Systems 15, S. Becker, S. Thrun, and K. Obermayer (Eds.). MIT Press, Cambridge, MA, 897--904."},{"key":"e_1_3_2_1_16_1","volume-title":"Advances in Neural Information Processing Systems 25","author":"Liu Liping","unstructured":"Liping Liu and Thomas G Dietterich . 2012. A conditional multinomial mixture model for superset label learning . In Advances in Neural Information Processing Systems 25 , P. Bartlett, F. C. N. Pereira, C. J. C. Burges, L. Bottou, and K. Q. Weinberger (Eds.). MIT Press , Cambridge, MA , 557--565. Liping Liu and Thomas G Dietterich. 2012. A conditional multinomial mixture model for superset label learning. In Advances in Neural Information Processing Systems 25, P. Bartlett, F. C. N. Pereira, C. J. C. Burges, L. Bottou, and K. Q. Weinberger (Eds.). MIT Press, Cambridge, MA, 557--565."},{"key":"e_1_3_2_1_17_1","volume-title":"Advances in Neural Information Processing Systems 23","author":"Luo Jie","unstructured":"Jie Luo and Francesco Orabona . 2010. Learning from candidate labeling sets . In Advances in Neural Information Processing Systems 23 , J. Lafferty, C. K. I. Williams, J. Shawe-Taylor, R. S. Zemel, and A. Culotta (Eds.). MIT Press , Cambridge, MA , 1504--1512. Jie Luo and Francesco Orabona. 2010. Learning from candidate labeling sets. In Advances in Neural Information Processing Systems 23, J. Lafferty, C. K. I. Williams, J. Shawe-Taylor, R. S. Zemel, and A. Culotta (Eds.). MIT Press, Cambridge, MA, 1504--1512."},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1145\/1401890.1401958"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1049\/iet-bmt.2014.0053"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.203"},{"key":"e_1_3_2_1_21_1","volume-title":"Data Mining and Knowledge Discovery Handbook","author":"Tsoumakas Grigorios","unstructured":"Grigorios Tsoumakas , Ioannis Katakis , and Ioannis Vlahavas . 2010. Mining multi-label data . In Data Mining and Knowledge Discovery Handbook . Springer , Berlin , 667--686. Grigorios Tsoumakas, Ioannis Katakis, and Ioannis Vlahavas. 2010. Mining multi-label data. In Data Mining and Knowledge Discovery Handbook. Springer, Berlin, 667--686."},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3220008"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.5555\/3304889.3305049"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-016-5606-4"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2013.97"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.5555\/3172077.3172364"},{"key":"e_1_3_2_1_27_1","volume-title":"Proceedings of the 24th International Joint Conference on Artificial Intelligence","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 Proceedings of the 24th International Joint Conference on Artificial Intelligence . Buenos Aires, Argentina, 4048--4054. Min-Ling Zhang and Fei Yu. 2015. Solving the partial label learning problem: An instance-based approach. In Proceedings of the 24th International Joint Conference on Artificial Intelligence . Buenos Aires, Argentina, 4048--4054."},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939788"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2013.39"},{"key":"e_1_3_2_1_30_1","volume-title":"Advances in Neural Information Processing Systems 28","author":"Zhang Xiang","unstructured":"Xiang Zhang , Junbo Zhao , and Yann LeCun . 2015. Character-level convolutional networks for text classification . In Advances in Neural Information Processing Systems 28 , C. Cortes, N. D. Lawrence, D. D. Lee, M. Sugiyama, and R. Garnett (Eds.). Curran Associates, Inc. , 649--657. Xiang Zhang, Junbo Zhao, and Yann LeCun. 2015. Character-level convolutional networks for text classification. In Advances in Neural Information Processing Systems 28, C. Cortes, N. D. Lawrence, D. D. Lee, M. Sugiyama, and R. Garnett (Eds.). Curran Associates, Inc., 649--657."},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.artint.2011.10.002"},{"key":"e_1_3_2_1_32_1","volume-title":"Synthesis Lectures to Artificial Intelligence and Machine Learning","author":"Zhu Xiaojin","unstructured":"Xiaojin Zhu and Andrew B Goldberg . 2009. Introduction to semi-supervised learning . In Synthesis Lectures to Artificial Intelligence and Machine Learning , R. J. Brachman and T. G. Dietterich (Eds.). Morgan & Claypool Publishers , San Francisco, CA , 1--130. Xiaojin Zhu and Andrew B Goldberg. 2009. Introduction to semi-supervised learning. In Synthesis Lectures to Artificial Intelligence and Machine Learning, R. J. Brachman and T. G. Dietterich (Eds.). Morgan & Claypool Publishers, San Francisco, CA, 1--130."}],"event":{"name":"KDD '19: The 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","location":"Anchorage AK USA","acronym":"KDD '19","sponsor":["SIGMOD ACM Special Interest Group on Management of Data","SIGKDD ACM Special Interest Group on Knowledge Discovery in Data"]},"container-title":["Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery &amp; Data Mining"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3292500.3330840","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3292500.3330840","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T00:26:02Z","timestamp":1750206362000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3292500.3330840"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,7,25]]},"references-count":32,"alternative-id":["10.1145\/3292500.3330840","10.1145\/3292500"],"URL":"https:\/\/doi.org\/10.1145\/3292500.3330840","relation":{},"subject":[],"published":{"date-parts":[[2019,7,25]]},"assertion":[{"value":"2019-07-25","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}