{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T13:24:10Z","timestamp":1743081850496,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":16,"publisher":"Springer Nature Singapore","isbn-type":[{"type":"print","value":"9789819755936"},{"type":"electronic","value":"9789819755943"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024]]},"DOI":"10.1007\/978-981-97-5594-3_15","type":"book-chapter","created":{"date-parts":[[2024,8,13]],"date-time":"2024-08-13T15:06:26Z","timestamp":1723561586000},"page":"176-187","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Online Continual Learning via Maximal Coding Rate Reduction"],"prefix":"10.1007","author":[{"given":"Zhanyang","family":"Liu","sequence":"first","affiliation":[]},{"given":"Jinfeng","family":"Liu","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,8,14]]},"reference":[{"key":"15_CR1","doi-asserted-by":"publisher","first-page":"109","DOI":"10.1016\/S0079-7421(08)60536-8","volume":"24","author":"M McCloskey","year":"1989","unstructured":"McCloskey, M., Cohen, N.J.: Catastrophic interference in connectionist networks: the sequential learning problem. Psychol. Learn. Motiv. 24, 109\u2013165 (1989)","journal-title":"Psychol. Learn. Motiv."},{"key":"15_CR2","unstructured":"Guo, Y.D., Liu, B., Zhao, D.Y.: Online continual learning through mutual information maximization. In: International Conference on Machine Learning, pp. 8109\u2013 8126 (2022)"},{"key":"15_CR3","doi-asserted-by":"crossref","unstructured":"Shim, D., Mai, Z.D., Jeong, J., Sanner, S., Kim, H., Jang, J.: Online class-incremental continual learning with adversarial shapley value. In: Proceedings of the AAAI Conference on Artificial Intelligence, pp. 9630\u20139638 (2021)","DOI":"10.1609\/aaai.v35i11.17159"},{"key":"15_CR4","doi-asserted-by":"crossref","unstructured":"Xiang, Y., Fu, Y., Ji, P., Huang, H.: Incremental learning using conditional adversarial networks. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 6619\u20136628 (2019)","DOI":"10.1109\/ICCV.2019.00672"},{"key":"15_CR5","doi-asserted-by":"crossref","unstructured":"Dhar, P., Singh, R.V., Peng, K.C., Wu, Z.Y., Chellappa, R.: Learning without memorizing. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 5138\u20135146 (2019)","DOI":"10.1109\/CVPR.2019.00528"},{"key":"15_CR6","doi-asserted-by":"crossref","unstructured":"Mallya, A., Lazebnik, S.: Packnet: adding multiple tasks to a single network by iterative pruning. In: Proceedings of the IEEE conference on Computer Vision and Pattern Recognition, pp. 7765\u20137773 (2018)","DOI":"10.1109\/CVPR.2018.00810"},{"key":"15_CR7","unstructured":"Aljundi, R., et al.: Online Continual Learning with Maximally Interfered Retrieval. arXiv preprint arXiv:1908.04742 (2019)"},{"key":"15_CR8","unstructured":"Yu, Y.D., Chan, R., You, C., Song, C.B., Ma, Y.: Learning diverse and discriminative representations via the principle of maximal coding rate reduction. arXiv preprint arXiv:2006.08558 (2020)"},{"issue":"9","key":"15_CR9","doi-asserted-by":"publisher","first-page":"1546","DOI":"10.1109\/TPAMI.2007.1085","volume":"29","author":"Y Ma","year":"2007","unstructured":"Ma, Y., Derksen, H., Hong, W., Wright, J.: Segmentation of multivariate mixed data via lossy data coding and compression. IEEE Trans. Pattern Anal. Mach. Intell. 29(9), 1546\u20131562 (2007)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"15_CR10","unstructured":"Hinton, G., Vinyals, O., Dean, J.: Distilling the knowledge in a neural network. arXiv preprint arXiv:1503.02531 (2015)"},{"key":"15_CR11","unstructured":"Aljundi, R., Lin, M., Goujaud, B., Bengio, Y.: Gradient based sample selection for online continual learning. In: Conference on Neural Information Processing Systems, pp. 11816\u201311825 (2019)"},{"key":"15_CR12","unstructured":"Chaudhry, A., et al.: On tiny episodic memories in continual learning. arXiv preprint arXiv:1902.10486 (2019)"},{"key":"15_CR13","doi-asserted-by":"crossref","unstructured":"Prabhu, A., Torr, P.H., Dokania, P.K.: Gdumb: a simple approach that questions our progress in continual learning. In: European Conference on Computer Vision, pp. 524\u2013540 (2020)","DOI":"10.1007\/978-3-030-58536-5_31"},{"key":"15_CR14","doi-asserted-by":"crossref","unstructured":"Mai, Z.D., Li, R.W., Kim, H., Sanner, S.: Supervised contrastive replay: Revisiting the nearest class mean classifier in online class-incremental continual learning. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition Workshops, pp. 3589\u20133599 (2021)","DOI":"10.1109\/CVPRW53098.2021.00398"},{"key":"15_CR15","unstructured":"Buzzega, P., Boschini, M., Porrello, A., Abati, D., Calderara, S.: Dark experience for general continual learning: a strong, simple baseline. arXiv preprint arXiv:2004.07211 (2020)"},{"key":"15_CR16","doi-asserted-by":"crossref","unstructured":"Cha, H., Lee, J., Shin, J.: Co2l: contrastive continual learning. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 9516\u20139525 (2021)","DOI":"10.1109\/ICCV48922.2021.00938"}],"container-title":["Lecture Notes in Computer Science","Advanced Intelligent Computing Technology and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-97-5594-3_15","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,13]],"date-time":"2024-08-13T15:09:14Z","timestamp":1723561754000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-97-5594-3_15"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9789819755936","9789819755943"],"references-count":16,"URL":"https:\/\/doi.org\/10.1007\/978-981-97-5594-3_15","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"14 August 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"The authors have no competing interests to declare that are relevant to the content of this article.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Disclosure of Interests"}},{"value":"ICIC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Intelligent Computing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Tianjin","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5 August 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8 August 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icic2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.ic-icc.cn\/2024\/index.htm","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}