{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,14]],"date-time":"2026-01-14T23:54:50Z","timestamp":1768434890327,"version":"3.49.0"},"publisher-location":"Singapore","reference-count":33,"publisher":"Springer Nature Singapore","isbn-type":[{"value":"9789819603503","type":"print"},{"value":"9789819603510","type":"electronic"}],"license":[{"start":{"date-parts":[[2024,11,20]],"date-time":"2024-11-20T00:00:00Z","timestamp":1732060800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,11,20]],"date-time":"2024-11-20T00:00:00Z","timestamp":1732060800000},"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":[[2025]]},"DOI":"10.1007\/978-981-96-0351-0_10","type":"book-chapter","created":{"date-parts":[[2024,11,23]],"date-time":"2024-11-23T18:47:31Z","timestamp":1732387651000},"page":"137-150","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Active Continual Learning: On Balancing Knowledge Retention and\u00a0Learnability"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0009-0005-6296-4184","authenticated-orcid":false,"given":"Thuy-Trang","family":"Vu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5499-6542","authenticated-orcid":false,"given":"Shahram","family":"Khadivi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mahsa","family":"Ghorbanali","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9977-8247","authenticated-orcid":false,"given":"Dinh","family":"Phung","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7326-8380","authenticated-orcid":false,"given":"Gholamreza","family":"Haffari","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,11,20]]},"reference":[{"key":"10_CR1","unstructured":"Ash, J.T., Zhang, C., Krishnamurthy, A., et\u00a0al.: Deep batch active learning by diverse, uncertain gradient lower bounds. In: Proceedings of ICLR (2020)"},{"key":"10_CR2","unstructured":"Brinker, K.: Incorporating diversity in active learning with support vector machines. In: Proceedings of ICML (2003)"},{"key":"10_CR3","unstructured":"Buzzega, P., Boschini, M., Porrello, A., et\u00a0al.: Dark experience for general continual learning: a strong, simple baseline. In: Proceedings of NeurIPS (2020)"},{"key":"10_CR4","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"556","DOI":"10.1007\/978-3-030-01252-6_33","volume-title":"Computer Vision \u2013 ECCV 2018","author":"A Chaudhry","year":"2018","unstructured":"Chaudhry, A., Dokania, P.K., Ajanthan, T., Torr, P.H.S.: Riemannian walk for incremental learning: understanding forgetting and intransigence. In: Ferrari, V., Hebert, M., Sminchisescu, C., Weiss, Y. (eds.) ECCV 2018. LNCS, vol. 11215, pp. 556\u2013572. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-030-01252-6_33"},{"key":"10_CR5","unstructured":"Chaudhry, A., Ranzato, M., Rohrbach, M., Elhoseiny, M.: Efficient lifelong learning with a-GEM. In: Proceedings of ICLR (2019)"},{"key":"10_CR6","unstructured":"Chaudhry, A., Rohrbach, M., Elhoseiny, M., et\u00a0al.: On tiny episodic memories in continual learning. arXiv preprint arXiv:1902.10486 (2019)"},{"key":"10_CR7","doi-asserted-by":"crossref","unstructured":"Delange, M., Aljundi, R., Masana, M., et\u00a0al.: A continual learning survey: defying forgetting in classification tasks. TPAMI (2021)","DOI":"10.1109\/TPAMI.2021.3057446"},{"key":"10_CR8","unstructured":"Gilad-Bachrach, R., Navot, A., Tishby, N.: Query by committee made real. In: Proceedings of NIPS (2006)"},{"key":"10_CR9","doi-asserted-by":"crossref","unstructured":"He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. In: Proceedings of CVPR (2016)","DOI":"10.1109\/CVPR.2016.90"},{"key":"10_CR10","unstructured":"Houlsby, N., Husz\u00e1r, F., Ghahramani, Z., Lengyel, M.: Bayesian active learning for classification and preference learning. arXiv preprint arXiv:1112.5745 (2011)"},{"key":"10_CR11","doi-asserted-by":"crossref","unstructured":"Hu, W., Qin, Q., Wang, M., et\u00a0al.: Continual learning by using information of each class holistically. In: Proceedings of AAAI (2021)","DOI":"10.1609\/aaai.v35i9.16952"},{"key":"10_CR12","doi-asserted-by":"crossref","unstructured":"Joshi, A.J., Porikli, F., Papanikolopoulos, N.: Multi-class active learning for image classification. In: Proceedings of CVPR (2009)","DOI":"10.1109\/CVPRW.2009.5206627"},{"key":"10_CR13","unstructured":"Ke, Z., Liu, B., Ma, N., et\u00a0al.: Achieving forgetting prevention and knowledge transfer in continual learning. In: Proceedings of NeurIPS (2021)"},{"key":"10_CR14","doi-asserted-by":"crossref","unstructured":"Kemker, R., McClure, M., Abitino, A., et\u00a0al.: Measuring catastrophic forgetting in neural networks. In: Proceedings of AAAI (2018)","DOI":"10.1609\/aaai.v32i1.11651"},{"key":"10_CR15","unstructured":"Kirkpatrick, J., et\u00a0al.: Overcoming catastrophic forgetting in neural networks. In: Proceedings of PNAS (2017)"},{"key":"10_CR16","unstructured":"Krizhevsky, A., Hinton, G., et\u00a0al.: Learning multiple layers of features from tiny images (2009)"},{"key":"10_CR17","doi-asserted-by":"crossref","unstructured":"Lecun, Y., Bottou, L., Bengio, Y., Haffner, P.: Gradient-based learning applied to document recognition. Proc. IEEE, 2278\u20132324 (1998)","DOI":"10.1109\/5.726791"},{"key":"10_CR18","unstructured":"Li, G., Zhai, Y., Chen, Q., et\u00a0al.: Continual few-shot intent detection. In: Proceedings of COLING (2022)"},{"key":"10_CR19","doi-asserted-by":"crossref","unstructured":"Liu, M., Buntine, W., Haffari, G.: Learning how to actively learn: a deep imitation learning approach. In: Proceedings of ACL (2018)","DOI":"10.18653\/v1\/P18-1174"},{"key":"10_CR20","unstructured":"Liu, Y., Ott, M., Goyal, N., et\u00a0al.: RoBERTa: a robustly optimized BERT pretraining approach. arXiv preprint arXiv:1907.11692 (2019)"},{"key":"10_CR21","unstructured":"Madaan, D., Yoon, J., Li, Y., et\u00a0al.: Representational continuity for unsupervised continual learning. In: Proceedings of ICLR (2021)"},{"key":"10_CR22","doi-asserted-by":"crossref","unstructured":"Mundt, M., Hong, Y., Pliushch, I., Ramesh, V.: A wholistic view of continual learning with deep neural networks: forgotten lessons and the bridge to active and open world learning. Neural Netw. 306\u2013336 (2023)","DOI":"10.1016\/j.neunet.2023.01.014"},{"key":"10_CR23","doi-asserted-by":"crossref","unstructured":"Pontiki, M., Galanis, D., Pavlopoulos, J., et\u00a0al.: SemEval-2014 task 4: aspect based sentiment analysis. In: Proceedings of SemEval (2014)","DOI":"10.3115\/v1\/S14-2004"},{"key":"10_CR24","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"524","DOI":"10.1007\/978-3-030-58536-5_31","volume-title":"Computer Vision \u2013 ECCV 2020","author":"A Prabhu","year":"2020","unstructured":"Prabhu, A., Torr, P.H.S., Dokania, P.K.: GDumb: a simple approach that questions our progress in continual learning. In: Vedaldi, A., Bischof, H., Brox, T., Frahm, J.-M. (eds.) ECCV 2020. LNCS, vol. 12347, pp. 524\u2013540. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-58536-5_31"},{"key":"10_CR25","doi-asserted-by":"crossref","unstructured":"Rebuffi, S.A., Kolesnikov, A., Sperl, G., Lampert, C.H.: ICARL: incremental classifier and representation learning. In: Proceedings of CVPR (2017)","DOI":"10.1109\/CVPR.2017.587"},{"key":"10_CR26","unstructured":"Riemer, M., Cases, I., Ajemian, R., et\u00a0al.: Learning to learn without forgetting by maximizing transfer and minimizing interference. In: Proceedings of ICLR (2019)"},{"key":"10_CR27","unstructured":"Rolnick, D., Ahuja, A., Schwarz, J., et\u00a0al.: Experience replay for continual learning. In: Proceedings of NeurIPS (2019)"},{"key":"10_CR28","doi-asserted-by":"crossref","unstructured":"Scheffer, T., Decomain, C., Wrobel, S.: Active hidden Markov models for information extraction. In: Proceedings of IDA (2001)","DOI":"10.1007\/3-540-44816-0_31"},{"key":"10_CR29","unstructured":"Sener, O., Savarese, S.: Active learning for convolutional neural networks: a core-set approach. In: Proceedings of ICLR (2018)"},{"key":"10_CR30","doi-asserted-by":"crossref","unstructured":"Settles, B., Craven, M.: An analysis of active learning strategies for sequence labeling tasks. In: Proceedings of EMNLP (2008)","DOI":"10.3115\/1613715.1613855"},{"key":"10_CR31","doi-asserted-by":"crossref","unstructured":"Vu, T.T., Liu, M., Phung, D., Haffari, G.: Learning how to active learn by dreaming. In: Proceedings of ACL (2019)","DOI":"10.18653\/v1\/P19-1401"},{"key":"10_CR32","doi-asserted-by":"crossref","unstructured":"Yuan, M., Lin, H.T., Boyd-Graber, J.: Cold-start active learning through self-supervised language modeling. In: Proceedings of EMNLP (2020)","DOI":"10.18653\/v1\/2020.emnlp-main.637"},{"key":"10_CR33","doi-asserted-by":"crossref","unstructured":"Zhang, Z., Strubell, E., Hovy, E.: A survey of active learning for natural language processing. In: Proceedings of EMNLP (2022)","DOI":"10.18653\/v1\/2022.emnlp-main.414"}],"container-title":["Lecture Notes in Computer Science","AI 2024: Advances in Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-96-0351-0_10","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,23]],"date-time":"2024-11-23T19:05:41Z","timestamp":1732388741000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-96-0351-0_10"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,11,20]]},"ISBN":["9789819603503","9789819603510"],"references-count":33,"URL":"https:\/\/doi.org\/10.1007\/978-981-96-0351-0_10","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,11,20]]},"assertion":[{"value":"20 November 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"AI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Australasian Joint Conference on Artificial Intelligence","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Melbourne, VIC","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Australia","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":"25 November 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29 November 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"37","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ausai2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/ajcai2024.org\/index.html","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}