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In Proceedings of the 14th International Conference on Neural Information Processing Systems: Natural and Synthetic. 849--856."},{"key":"e_1_3_2_2_39_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v31i1.10909"},{"key":"e_1_3_2_2_40_1","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2017\/357"},{"key":"e_1_3_2_2_41_1","volume-title":"International Conference on Machine Learning. 5092--5101","author":"Peng Xi","year":"2019","unstructured":"Xi Peng , Zhenyu Huang , Jiancheng Lv , Hongyuan Zhu , and Joey Tianyi Zhou . 2019 . COMIC: Multi-view clustering without parameter selection . In International Conference on Machine Learning. 5092--5101 . Xi Peng, Zhenyu Huang, Jiancheng Lv, Hongyuan Zhu, and Joey Tianyi Zhou. 2019. COMIC: Multi-view clustering without parameter selection. In International Conference on Machine Learning. 5092--5101."},{"key":"e_1_3_2_2_42_1","volume-title":"International Conference on Machine Learning. PMLR, 2664--2672","author":"Peyr\u00e9 Gabriel","year":"2016","unstructured":"Gabriel Peyr\u00e9 , Marco Cuturi , and Justin Solomon . 2016 . Gromov-Wasserstein averaging of kernel and distance matrices . In International Conference on Machine Learning. PMLR, 2664--2672 . Gabriel Peyr\u00e9, Marco Cuturi, and Justin Solomon. 2016. Gromov-Wasserstein averaging of kernel and distance matrices. In International Conference on Machine Learning. PMLR, 2664--2672."},{"key":"e_1_3_2_2_43_1","volume-title":"International Conference on Machine Learning. PMLR, 8748--8763","author":"Radford Alec","year":"2021","unstructured":"Alec Radford , Jong Wook Kim , Chris Hallacy , Aditya Ramesh , Gabriel Goh , Sandhini Agarwal , Girish Sastry , Amanda Askell , Pamela Mishkin , Jack Clark , 2021 . Learning transferable visual models from natural language supervision . In International Conference on Machine Learning. PMLR, 8748--8763 . Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, et al. 2021. Learning transferable visual models from natural language supervision. In International Conference on Machine Learning. PMLR, 8748--8763."},{"key":"e_1_3_2_2_44_1","volume-title":"International Conference on Machine Learning. PMLR, 8821--8831","author":"Ramesh Aditya","year":"2021","unstructured":"Aditya Ramesh , Mikhail Pavlov , Gabriel Goh , Scott Gray , Chelsea Voss , Alec Radford , Mark Chen , and Ilya Sutskever . 2021 . Zero-shot text-to-image generation . In International Conference on Machine Learning. PMLR, 8821--8831 . Aditya Ramesh, Mikhail Pavlov, Gabriel Goh, Scott Gray, Chelsea Voss, Alec Radford, Mark Chen, and Ilya Sutskever. 2021. Zero-shot text-to-image generation. In International Conference on Machine Learning. 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Acta mathematica, Vol. 196, 1 (2006), 65--131."},{"key":"e_1_3_2_2_47_1","volume-title":"International Conference on Machine Learning. PMLR, 6275--6284","author":"Titouan Vayer","year":"2019","unstructured":"Vayer Titouan , Nicolas Courty , Romain Tavenard , and R\u00e9mi Flamary . 2019 . Optimal transport for structured data with application on graphs . In International Conference on Machine Learning. PMLR, 6275--6284 . Vayer Titouan, Nicolas Courty, Romain Tavenard, and R\u00e9mi Flamary. 2019. Optimal transport for structured data with application on graphs. In International Conference on Machine Learning. PMLR, 6275--6284."},{"key":"e_1_3_2_2_48_1","volume-title":"Wasserstein Auto-Encoders. In International Conference on Learning Representations.","author":"Tolstikhin Ilya","year":"2018","unstructured":"Ilya Tolstikhin , Olivier Bousquet , Sylvain Gelly , and Bernhard Schoelkopf . 2018 . Wasserstein Auto-Encoders. In International Conference on Learning Representations. 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In Proceedings of the 32nd International Conference on International Conference on Machine Learning - Volume 37 (Lille, France) (ICML'15). JMLR.org, 1083--1092. Weiran Wang, Raman Arora, Karen Livescu, and Jeff Bilmes. 2015. On Deep Multi-View Representation Learning. In Proceedings of the 32nd International Conference on International Conference on Machine Learning - Volume 37 (Lille, France) (ICML'15). JMLR.org, 1083--1092."},{"key":"e_1_3_2_2_57_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2019.01.017"},{"key":"e_1_3_2_2_58_1","volume-title":"Structural Deep Incomplete Multi-View Clustering Network","author":"Wen Jie","unstructured":"Jie Wen , Zhihao Wu , Zheng Zhang , Lunke Fei , Bob Zhang , and Yong Xu. 2021a. Structural Deep Incomplete Multi-View Clustering Network . Association for Computing Machinery , New York, NY, USA , 3538--3542. https:\/\/doi.org\/10.1145\/3459637.3482192 10.1145\/3459637.3482192 Jie Wen, Zhihao Wu, Zheng Zhang, Lunke Fei, Bob Zhang, and Yong Xu. 2021a. Structural Deep Incomplete Multi-View Clustering Network. Association for Computing Machinery, New York, NY, USA, 3538--3542. https:\/\/doi.org\/10.1145\/3459637.3482192"},{"key":"e_1_3_2_2_59_1","volume-title":"Incomplete multiview spectral clustering with adaptive graph learning","author":"Wen Jie","year":"2018","unstructured":"Jie Wen , Yong Xu , and Hong Liu . 2018. Incomplete multiview spectral clustering with adaptive graph learning . IEEE transactions on cybernetics, Vol. 50 , 4 ( 2018 ), 1418--1429. Jie Wen, Yong Xu, and Hong Liu. 2018. Incomplete multiview spectral clustering with adaptive graph learning. IEEE transactions on cybernetics, Vol. 50, 4 (2018), 1418--1429."},{"key":"e_1_3_2_2_60_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i11.17231"},{"key":"e_1_3_2_2_61_1","volume-title":"Proceedings of COLING","author":"Xiao Min","year":"2012","unstructured":"Min Xiao and Yuhong Guo . 2012 . Multi-view adaboost for multilingual subjectivity analysis . In Proceedings of COLING 2012. 2851--2866. Min Xiao and Yuhong Guo. 2012. Multi-view adaboost for multilingual subjectivity analysis. In Proceedings of COLING 2012. 2851--2866."},{"key":"e_1_3_2_2_62_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2020.2973981"},{"key":"e_1_3_2_2_63_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2015.2490539"},{"key":"e_1_3_2_2_64_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i04.6120"},{"key":"e_1_3_2_2_65_1","volume-title":"Proceedings of the 33rd International Conference on Neural Information Processing Systems. 3052--3062","author":"Xu Hongteng","year":"2019","unstructured":"Hongteng Xu , Dixin Luo , and Lawrence Carin . 2019 a. Scalable gromov-wasserstein learning for graph partitioning and matching . In Proceedings of the 33rd International Conference on Neural Information Processing Systems. 3052--3062 . Hongteng Xu, Dixin Luo, and Lawrence Carin. 2019a. Scalable gromov-wasserstein learning for graph partitioning and matching. In Proceedings of the 33rd International Conference on Neural Information Processing Systems. 3052--3062."},{"key":"e_1_3_2_2_66_1","volume-title":"International Conference on Machine Learning. PMLR, 10576--10586","author":"Xu Hongteng","year":"2020","unstructured":"Hongteng Xu , Dixin Luo , Ricardo Henao , Svati Shah , and Lawrence Carin . 2020 . Learning autoencoders with relational regularization . In International Conference on Machine Learning. PMLR, 10576--10586 . Hongteng Xu, Dixin Luo, Ricardo Henao, Svati Shah, and Lawrence Carin. 2020. Learning autoencoders with relational regularization. In International Conference on Machine Learning. PMLR, 10576--10586."},{"key":"e_1_3_2_2_67_1","volume-title":"International conference on machine learning. PMLR, 6932--6941","author":"Xu Hongteng","year":"2019","unstructured":"Hongteng Xu , Dixin Luo , Hongyuan Zha , and Lawrence Carin Duke . 2019 b. Gromov-wasserstein learning for graph matching and node embedding . 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