{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,23]],"date-time":"2025-06-23T10:07:01Z","timestamp":1750673221029,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":61,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,4,19]],"date-time":"2021-04-19T00:00:00Z","timestamp":1618790400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2021,4,19]]},"DOI":"10.1145\/3442381.3449839","type":"proceedings-article","created":{"date-parts":[[2021,6,3]],"date-time":"2021-06-03T19:35:17Z","timestamp":1622748917000},"page":"3534-3545","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":4,"title":["Unsupervised Lifelong Learning with Curricula"],"prefix":"10.1145","author":[{"given":"Yi","family":"He","sequence":"first","affiliation":[{"name":"University of Louisiana at Lafayette, Lafayette, Louisiana, USA"}]},{"given":"Sheng","family":"Chen","sequence":"additional","affiliation":[{"name":"University of Louisiana at Lafayette, Lafayette, Louisiana, USA"}]},{"given":"Baijun","family":"Wu","sequence":"additional","affiliation":[{"name":"University of Louisiana at Lafayette, Lafayette, Louisiana, USA"}]},{"given":"Xu","family":"Yuan","sequence":"additional","affiliation":[{"name":"University of Louisiana at Lafayette, Lafayette, Louisiana, USA"}]},{"given":"Xindong","family":"Wu","sequence":"additional","affiliation":[{"name":"HeFei University of Technology, Hefei, Anhui, China and Mininglamp Technology, Shanghai, China"}]}],"member":"320","published-online":{"date-parts":[[2021,6,3]]},"reference":[{"doi-asserted-by":"crossref","unstructured":"Abdalghani Abujabal Rishiraj Saha\u00a0Roy Mohamed Yahya and Gerhard Weikum. 2018. Never-ending learning for open-domain question answering over knowledge bases. In WWW. 1053\u20131062.  Abdalghani Abujabal Rishiraj Saha\u00a0Roy Mohamed Yahya and Gerhard Weikum. 2018. Never-ending learning for open-domain question answering over knowledge bases. In WWW. 1053\u20131062.","key":"e_1_3_2_1_1_1","DOI":"10.1145\/3178876.3186004"},{"unstructured":"Arvind Agarwal Samuel Gerber and Hal Daume. 2010. Learning multiple tasks using manifold regularization. In NIPS. 46\u201354.  Arvind Agarwal Samuel Gerber and Hal Daume. 2010. Learning multiple tasks using manifold regularization. In NIPS. 46\u201354.","key":"e_1_3_2_1_2_1"},{"doi-asserted-by":"crossref","unstructured":"Rahaf Aljundi Punarjay Chakravarty and Tinne Tuytelaars. 2017. Expert gate: Lifelong learning with a network of experts. In CVPR. 3366\u20133375.  Rahaf Aljundi Punarjay Chakravarty and Tinne Tuytelaars. 2017. Expert gate: Lifelong learning with a network of experts. In CVPR. 3366\u20133375.","key":"e_1_3_2_1_3_1","DOI":"10.1109\/CVPR.2017.753"},{"volume-title":"A PAC-style model for learning from labeled and unlabeled data","author":"Balcan Maria-Florina","unstructured":"Maria-Florina Balcan and Avrim Blum . 2005. A PAC-style model for learning from labeled and unlabeled data . In COLT. Springer , 111\u2013126. Maria-Florina Balcan and Avrim Blum. 2005. A PAC-style model for learning from labeled and unlabeled data. In COLT. Springer, 111\u2013126.","key":"e_1_3_2_1_4_1"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_5_1","DOI":"10.1007\/s11846-018-0316-x"},{"doi-asserted-by":"crossref","unstructured":"Avrim Blum and Tom Mitchell. 1998. Combining labeled and unlabeled data with co-training. In COLT. 92\u2013100.  Avrim Blum and Tom Mitchell. 1998. Combining labeled and unlabeled data with co-training. In COLT. 92\u2013100.","key":"e_1_3_2_1_6_1","DOI":"10.1145\/279943.279962"},{"unstructured":"Zhangjie Cao Kaichao You Mingsheng Long Jianmin Wang and Qiang Yang. 2019. Learning to transfer examples for partial domain adaptation. In CVPR. 2985\u20132994.  Zhangjie Cao Kaichao You Mingsheng Long Jianmin Wang and Qiang Yang. 2019. Learning to transfer examples for partial domain adaptation. In CVPR. 2985\u20132994.","key":"e_1_3_2_1_7_1"},{"volume-title":"ICASSP, Vol.\u00a04","author":"Chang Shih-Fu","unstructured":"Shih-Fu Chang , Wei-Ying Ma , and Arnold Smeulders . 2007. Recent advances and challenges of semantic image\/video search . In ICASSP, Vol.\u00a04 . IEEE , IV\u20131205. Shih-Fu Chang, Wei-Ying Ma, and Arnold Smeulders. 2007. Recent advances and challenges of semantic image\/video search. In ICASSP, Vol.\u00a04. IEEE, IV\u20131205.","key":"e_1_3_2_1_8_1"},{"doi-asserted-by":"crossref","unstructured":"Olivier Chapelle and Ya Zhang. 2009. A dynamic bayesian network click model for web search ranking. In WWW. 1\u201310.  Olivier Chapelle and Ya Zhang. 2009. A dynamic bayesian network click model for web search ranking. In WWW. 1\u201310.","key":"e_1_3_2_1_9_1","DOI":"10.1145\/1526709.1526711"},{"doi-asserted-by":"crossref","unstructured":"Hsinchun Chen and Michael Chau. 2004. Web mining: Machine learning for web applications. Annual review of information science and technology 38 1 289\u2013329.  Hsinchun Chen and Michael Chau. 2004. Web mining: Machine learning for web applications. Annual review of information science and technology 38 1 289\u2013329.","key":"e_1_3_2_1_10_1","DOI":"10.1002\/aris.1440380107"},{"doi-asserted-by":"crossref","unstructured":"Zhiyuan Chen Nianzu Ma and Bing Liu. 2015. Lifelong learning for sentiment classification. In ACL.  Zhiyuan Chen Nianzu Ma and Bing Liu. 2015. Lifelong learning for sentiment classification. In ACL.","key":"e_1_3_2_1_11_1","DOI":"10.3115\/v1\/P15-2123"},{"unstructured":"Chelsea Finn Aravind Rajeswaran Sham Kakade and Sergey Levine. 2019. Online Meta-Learning. In ICML. 1920\u20131930.  Chelsea Finn Aravind Rajeswaran Sham Kakade and Sergey Levine. 2019. Online Meta-Learning. In ICML. 1920\u20131930.","key":"e_1_3_2_1_12_1"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_13_1","DOI":"10.1006\/jcss.1997.1504"},{"unstructured":"Yaroslav Ganin and Victor Lempitsky. 2015. Unsupervised domain adaptation by backpropagation. In ICML. 1180\u20131189.  Yaroslav Ganin and Victor Lempitsky. 2015. Unsupervised domain adaptation by backpropagation. In ICML. 1180\u20131189.","key":"e_1_3_2_1_14_1"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_15_1","DOI":"10.1007\/s12559-016-9389-5"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_16_1","DOI":"10.1016\/0034-4877(71)90002-4"},{"unstructured":"Yunhui Guo Yandong Li Liqiang Wang and Tajana Rosing. 2020. AdaFilter: Adaptive Filter Fine-tuning for Deep Transfer Learning. In AAAI.  Yunhui Guo Yandong Li Liqiang Wang and Tajana Rosing. 2020. AdaFilter: Adaptive Filter Fine-tuning for Deep Transfer Learning. In AAAI.","key":"e_1_3_2_1_17_1"},{"doi-asserted-by":"crossref","unstructured":"Lei Han and Yu Zhang. 2016. Multi-stage multi-task learning with reduced rank. In AAAI.  Lei Han and Yu Zhang. 2016. Multi-stage multi-task learning with reduced rank. In AAAI.","key":"e_1_3_2_1_18_1","DOI":"10.1609\/aaai.v30i1.10261"},{"unstructured":"Shaobo Han Xuejun Liao and Lawrence Carin. 2012. Cross-domain multitask learning with latent probit models. In ICML.  Shaobo Han Xuejun Liao and Lawrence Carin. 2012. Cross-domain multitask learning with latent probit models. In ICML.","key":"e_1_3_2_1_19_1"},{"doi-asserted-by":"crossref","unstructured":"Yuan Hao Yanping Chen Jesin Zakaria Bing Hu Thanawin Rakthanmanon and Eamonn Keogh. 2013. Towards never-ending learning from time series streams. In KDD. 874\u2013882.  Yuan Hao Yanping Chen Jesin Zakaria Bing Hu Thanawin Rakthanmanon and Eamonn Keogh. 2013. Towards never-ending learning from time series streams. In KDD. 874\u2013882.","key":"e_1_3_2_1_20_1","DOI":"10.1145\/2487575.2487634"},{"doi-asserted-by":"crossref","unstructured":"Yi He Baijun Wu Di Wu Ege Beyazit Sheng Chen and Xindong Wu. 2019. Online learning from capricious data streams: a generative approach. In IJCAI. 2491\u20132497.  Yi He Baijun Wu Di Wu Ege Beyazit Sheng Chen and Xindong Wu. 2019. Online learning from capricious data streams: a generative approach. In IJCAI. 2491\u20132497.","key":"e_1_3_2_1_21_1","DOI":"10.24963\/ijcai.2019\/346"},{"unstructured":"Yi He Baijun Wu D Wu and X Wu. 2020. On partial multi-task learning. In ECAI. 1174 \u2013 1181.  Yi He Baijun Wu D Wu and X Wu. 2020. On partial multi-task learning. In ECAI. 1174 \u2013 1181.","key":"e_1_3_2_1_22_1"},{"unstructured":"Wenpeng Hu Zhou Lin Bing Liu Chongyang Tao Zhengwei Tao Jinwen Ma Dongyan Zhao and Rui Yan. 2018. Overcoming catastrophic forgetting for continual learning via model adaptation. In ICLR.  Wenpeng Hu Zhou Lin Bing Liu Chongyang Tao Zhengwei Tao Jinwen Ma Dongyan Zhao and Rui Yan. 2018. Overcoming catastrophic forgetting for continual learning via model adaptation. In ICLR.","key":"e_1_3_2_1_23_1"},{"volume-title":"Deep networks with stochastic depth","author":"Huang Gao","unstructured":"Gao Huang , Yu Sun , Zhuang Liu , Daniel Sedra , and Kilian\u00a0 Q Weinberger . 2016. Deep networks with stochastic depth . In ECCV. Springer , 646\u2013661. Gao Huang, Yu Sun, Zhuang Liu, Daniel Sedra, and Kilian\u00a0Q Weinberger. 2016. Deep networks with stochastic depth. In ECCV. Springer, 646\u2013661.","key":"e_1_3_2_1_24_1"},{"unstructured":"Yunhun Jang Hankook Lee Sung\u00a0Ju Hwang and Jinwoo Shin. 2019. Learning what and where to transfer. In ICML.  Yunhun Jang Hankook Lee Sung\u00a0Ju Hwang and Jinwoo Shin. 2019. Learning what and where to transfer. In ICML.","key":"e_1_3_2_1_25_1"},{"doi-asserted-by":"crossref","unstructured":"Lu Jiang. 2016. Web-scale multimedia search for internet video content. In WWW. 311\u2013316.  Lu Jiang. 2016. Web-scale multimedia search for internet video content. In WWW. 311\u2013316.","key":"e_1_3_2_1_26_1","DOI":"10.1145\/2835776.2855081"},{"unstructured":"Thorsten Joachims. 2003. Transductive learning via spectral graph partitioning. In ICML. 290\u2013297.  Thorsten Joachims. 2003. Transductive learning via spectral graph partitioning. In ICML. 290\u2013297.","key":"e_1_3_2_1_27_1"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_28_1","DOI":"10.1073\/pnas.1611835114"},{"unstructured":"Abhishek Kumar and Hal Daume\u00a0III. 2012. Learning task grouping and overlap in multi-task learning. In ICML. 1383\u20131390.  Abhishek Kumar and Hal Daume\u00a0III. 2012. Learning task grouping and overlap in multi-task learning. In ICML. 1383\u20131390.","key":"e_1_3_2_1_29_1"},{"key":"e_1_3_2_1_30_1","volume-title":"Fractalnet: Ultra-deep neural networks without residuals. In ICLR.","author":"Larsson Gustav","year":"2017","unstructured":"Gustav Larsson , Michael Maire , and Gregory Shakhnarovich . 2017 . Fractalnet: Ultra-deep neural networks without residuals. In ICLR. Gustav Larsson, Michael Maire, and Gregory Shakhnarovich. 2017. Fractalnet: Ultra-deep neural networks without residuals. In ICLR."},{"key":"e_1_3_2_1_31_1","volume-title":"Learning without forgetting","author":"Li Zhizhong","year":"2017","unstructured":"Zhizhong Li and Derek Hoiem . 2017. Learning without forgetting . IEEE transactions on pattern analysis and machine intelligence 40, 12( 2017 ), 2935\u20132947. Zhizhong Li and Derek Hoiem. 2017. Learning without forgetting. IEEE transactions on pattern analysis and machine intelligence 40, 12(2017), 2935\u20132947."},{"unstructured":"Mingsheng Long Yue Cao Jianmin Wang and Michael\u00a0I Jordan. 2015. Learning transferable features with deep adaptation networks. In ICML. 97\u2013105.  Mingsheng Long Yue Cao Jianmin Wang and Michael\u00a0I Jordan. 2015. Learning transferable features with deep adaptation networks. In ICML. 97\u2013105.","key":"e_1_3_2_1_32_1"},{"unstructured":"David Lopez-Paz and Marc\u2019Aurelio Ranzato. 2017. Gradient episodic memory for continual learning. In NeurIPS. 6467\u20136476.  David Lopez-Paz and Marc\u2019Aurelio Ranzato. 2017. Gradient episodic memory for continual learning. In NeurIPS. 6467\u20136476.","key":"e_1_3_2_1_33_1"},{"key":"e_1_3_2_1_34_1","first-page":"2579","article-title":"Visualizing data using t-SNE","author":"van\u00a0der Maaten Laurens","year":"2008","unstructured":"Laurens van\u00a0der Maaten and Geoffrey Hinton . 2008 . Visualizing data using t-SNE . Journal of machine learning research 9 , Nov (2008), 2579 \u2013 2605 . Laurens van\u00a0der Maaten and Geoffrey Hinton. 2008. Visualizing data using t-SNE. Journal of machine learning research 9, Nov (2008), 2579\u20132605.","journal-title":"Journal of machine learning research 9"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_35_1","DOI":"10.1145\/3191513"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_36_1","DOI":"10.1109\/TKDE.2009.191"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_37_1","DOI":"10.1016\/j.neunet.2019.01.012"},{"doi-asserted-by":"crossref","unstructured":"Shafin Rahman Salman Khan and Nick Barnes. 2019. Transductive learning for zero-shot object detection. In CVPR. 6082\u20136091.  Shafin Rahman Salman Khan and Nick Barnes. 2019. Transductive learning for zero-shot object detection. In CVPR. 6082\u20136091.","key":"e_1_3_2_1_38_1","DOI":"10.1109\/ICCV.2019.00618"},{"unstructured":"Sylvestre-Alvise Rebuffi Alexander Kolesnikov Georg Sperl and Christoph\u00a0H Lampert. 2017. icarl: Incremental classifier and representation learning. In CVPR. 2001\u20132010.  Sylvestre-Alvise Rebuffi Alexander Kolesnikov Georg Sperl and Christoph\u00a0H Lampert. 2017. icarl: Incremental classifier and representation learning. In CVPR. 2001\u20132010.","key":"e_1_3_2_1_39_1"},{"doi-asserted-by":"crossref","unstructured":"Steffen Rendle and Lars Schmidt-Thieme. 2008. Online-updating regularized kernel matrix factorization models for large-scale recommender systems. In ACM Recommender systems. 251\u2013258.  Steffen Rendle and Lars Schmidt-Thieme. 2008. Online-updating regularized kernel matrix factorization models for large-scale recommender systems. In ACM Recommender systems. 251\u2013258.","key":"e_1_3_2_1_40_1","DOI":"10.1145\/1454008.1454047"},{"unstructured":"David Rolnick Arun Ahuja Jonathan Schwarz Timothy Lillicrap and Gregory Wayne. 2019. Experience replay for continual learning. In NeurIPS. 348\u2013358.  David Rolnick Arun Ahuja Jonathan Schwarz Timothy Lillicrap and Gregory Wayne. 2019. Experience replay for continual learning. In NeurIPS. 348\u2013358.","key":"e_1_3_2_1_41_1"},{"doi-asserted-by":"crossref","unstructured":"Paul Ruvolo and Eric Eaton. 2013. Active task selection for lifelong machine learning. In AAAI.  Paul Ruvolo and Eric Eaton. 2013. Active task selection for lifelong machine learning. In AAAI.","key":"e_1_3_2_1_42_1","DOI":"10.1609\/aaai.v27i1.8684"},{"doi-asserted-by":"crossref","unstructured":"Doyen Sahoo Quang Pham Jing Lu and Steven\u00a0CH Hoi. 2018. Online deep learning: Learning deep neural networks on the fly. In IJCAI.  Doyen Sahoo Quang Pham Jing Lu and Steven\u00a0CH Hoi. 2018. Online deep learning: Learning deep neural networks on the fly. In IJCAI.","key":"e_1_3_2_1_43_1","DOI":"10.24963\/ijcai.2018\/369"},{"unstructured":"Tom Schaul John Quan Ioannis Antonoglou and David Silver. 2016. Prioritized experience replay. In ICLR.  Tom Schaul John Quan Ioannis Antonoglou and David Silver. 2016. Prioritized experience replay. In ICLR.","key":"e_1_3_2_1_44_1"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_45_1","DOI":"10.1109\/ICCV.2017.368"},{"unstructured":"Daniel\u00a0L Silver Qiang Yang and Lianghao Li. 2013. Lifelong machine learning systems: Beyond learning algorithms. In AAAI.  Daniel\u00a0L Silver Qiang Yang and Lianghao Li. 2013. Lifelong machine learning systems: Beyond learning algorithms. In AAAI.","key":"e_1_3_2_1_46_1"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_47_1","DOI":"10.1371\/journal.pone.0104136"},{"volume-title":"New regularized algorithms for transductive learning","author":"Talukdar Partha\u00a0Pratim","unstructured":"Partha\u00a0Pratim Talukdar and Koby Crammer . 2009. New regularized algorithms for transductive learning . In ECML-PKDD. Springer , 442\u2013457. Partha\u00a0Pratim Talukdar and Koby Crammer. 2009. New regularized algorithms for transductive learning. In ECML-PKDD. Springer, 442\u2013457.","key":"e_1_3_2_1_48_1"},{"doi-asserted-by":"crossref","unstructured":"Ben Tan Yangqiu Song Erheng Zhong and Qiang Yang. 2015. Transitive transfer learning. In KDD. 1155\u20131164.  Ben Tan Yangqiu Song Erheng Zhong and Qiang Yang. 2015. Transitive transfer learning. In KDD. 1155\u20131164.","key":"e_1_3_2_1_49_1","DOI":"10.1145\/2783258.2783295"},{"key":"e_1_3_2_1_50_1","volume-title":"Glue: A multi-task benchmark and analysis platform for natural language understanding. In ICLR.","author":"Wang Alex","year":"2019","unstructured":"Alex Wang , Amanpreet Singh , Julian Michael , Felix Hill , Omer Levy , and Samuel\u00a0 R Bowman . 2019 . Glue: A multi-task benchmark and analysis platform for natural language understanding. In ICLR. Alex Wang, Amanpreet Singh, Julian Michael, Felix Hill, Omer Levy, and Samuel\u00a0R Bowman. 2019. Glue: A multi-task benchmark and analysis platform for natural language understanding. In ICLR."},{"doi-asserted-by":"crossref","unstructured":"Chang Wang and Sridhar Mahadevan. 2011. Heterogeneous domain adaptation using manifold alignment. In IJCAI.  Chang Wang and Sridhar Mahadevan. 2011. Heterogeneous domain adaptation using manifold alignment. In IJCAI.","key":"e_1_3_2_1_51_1","DOI":"10.1201\/b11431-6"},{"doi-asserted-by":"crossref","unstructured":"Zirui Wang Zihang Dai Barnab\u00e1s P\u00f3czos and Jaime Carbonell. 2019. Characterizing and avoiding negative transfer. In CVPR. 11293\u201311302.  Zirui Wang Zihang Dai Barnab\u00e1s P\u00f3czos and Jaime Carbonell. 2019. Characterizing and avoiding negative transfer. In CVPR. 11293\u201311302.","key":"e_1_3_2_1_52_1","DOI":"10.1109\/CVPR.2019.01155"},{"unstructured":"Baijun Wu John\u00a0Peter Campora\u00a0III Yi He Alexander Schlecht and Sheng Chen. 2019. Generating precise error specifications for C: a zero shot learning approach. In OOPSLA. ACM 160\u2013191.  Baijun Wu John\u00a0Peter Campora\u00a0III Yi He Alexander Schlecht and Sheng Chen. 2019. Generating precise error specifications for C: a zero shot learning approach. In OOPSLA. ACM 160\u2013191.","key":"e_1_3_2_1_53_1"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_54_1","DOI":"10.1109\/TKDE.2017.2669193"},{"key":"e_1_3_2_1_55_1","first-page":"35","article-title":"Multi-task learning for classification with dirichlet process priors","author":"Xue Ya","year":"2007","unstructured":"Ya Xue , Xuejun Liao , Lawrence Carin , and Balaji Krishnapuram . 2007 . Multi-task learning for classification with dirichlet process priors . Journal of Machine Learning Research 8 , Jan (2007), 35 \u2013 63 . Ya Xue, Xuejun Liao, Lawrence Carin, and Balaji Krishnapuram. 2007. Multi-task learning for classification with dirichlet process priors. Journal of Machine Learning Research 8, Jan (2007), 35\u201363.","journal-title":"Journal of Machine Learning Research 8"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_56_1","DOI":"10.1109\/TPAMI.2019.2948348"},{"unstructured":"Wei Ying Yu Zhang Junzhou Huang and Qiang Yang. 2018. Transfer learning via learning to transfer. In ICML. 5085\u20135094.  Wei Ying Yu Zhang Junzhou Huang and Qiang Yang. 2018. Transfer learning via learning to transfer. In ICML. 5085\u20135094.","key":"e_1_3_2_1_57_1"},{"key":"e_1_3_2_1_58_1","volume-title":"DANE: Domain Adaptive Network Embedding. In IJCAI.","author":"Zhang Yizhou","year":"2019","unstructured":"Yizhou Zhang , Guojie Song , Lun Du , Shuwen Yang , and Yilun Jin . 2019 . DANE: Domain Adaptive Network Embedding. In IJCAI. Yizhou Zhang, Guojie Song, Lun Du, Shuwen Yang, and Yilun Jin. 2019. DANE: Domain Adaptive Network Embedding. In IJCAI."},{"doi-asserted-by":"crossref","unstructured":"Yu Zhang and Dit-Yan Yeung. 2010. Transfer metric learning by learning task relationships. In KDD. 1199\u20131208.  Yu Zhang and Dit-Yan Yeung. 2010. Transfer metric learning by learning task relationships. In KDD. 1199\u20131208.","key":"e_1_3_2_1_59_1","DOI":"10.1145\/1835804.1835954"},{"doi-asserted-by":"crossref","unstructured":"Yu Zhang and Dit-Yan Yeung. 2011. Multi-task learning in heterogeneous feature spaces. In AAAI.  Yu Zhang and Dit-Yan Yeung. 2011. Multi-task learning in heterogeneous feature spaces. In AAAI.","key":"e_1_3_2_1_60_1","DOI":"10.1609\/aaai.v25i1.7909"},{"doi-asserted-by":"crossref","unstructured":"Dengyong Zhou and Christopher\u00a0JC Burges. 2007. Spectral clustering and transductive learning with multiple views. In ICML. 1159\u20131166.  Dengyong Zhou and Christopher\u00a0JC Burges. 2007. Spectral clustering and transductive learning with multiple views. In ICML. 1159\u20131166.","key":"e_1_3_2_1_61_1","DOI":"10.1145\/1273496.1273642"}],"event":{"sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web"],"acronym":"WWW '21","name":"WWW '21: The Web Conference 2021","location":"Ljubljana Slovenia"},"container-title":["Proceedings of the Web Conference 2021"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3442381.3449839","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3442381.3449839","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T21:24:22Z","timestamp":1750195462000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3442381.3449839"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,4,19]]},"references-count":61,"alternative-id":["10.1145\/3442381.3449839","10.1145\/3442381"],"URL":"https:\/\/doi.org\/10.1145\/3442381.3449839","relation":{},"subject":[],"published":{"date-parts":[[2021,4,19]]},"assertion":[{"value":"2021-06-03","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}