{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,10]],"date-time":"2026-04-10T17:12:07Z","timestamp":1775841127104,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":37,"publisher":"ACM","funder":[{"name":"the National Key Research and Development Program of China","award":["2023YFB4502300"],"award-info":[{"award-number":["2023YFB4502300"]}]},{"name":"the NSFC-RGC","award":["62461160333"],"award-info":[{"award-number":["62461160333"]}]},{"name":"the National Research Foundation, Singapore and Infocomm Media Development Authority under the Future Communications Research and Development Programme","award":["FCP-SUTD-RG-2022-005"],"award-info":[{"award-number":["FCP-SUTD-RG-2022-005"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2026,4,13]]},"DOI":"10.1145\/3774904.3792584","type":"proceedings-article","created":{"date-parts":[[2026,4,9]],"date-time":"2026-04-09T21:54:34Z","timestamp":1775771674000},"page":"7474-7484","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["StreamFP: Fingerprint-guided Data Selection for Efficient Stream Learning"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1407-8875","authenticated-orcid":false,"given":"Changwu","family":"Li","sequence":"first","affiliation":[{"name":"National Engineering Research Center for Big Data Technology and System, Service Computing Technology and System Lab, Cluster and Grid Computing Lab, School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-9058-5299","authenticated-orcid":false,"given":"Tongjun","family":"Shi","sequence":"additional","affiliation":[{"name":"Futu Holdings Limited, Shenzhen, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9927-6925","authenticated-orcid":false,"given":"Shuhao","family":"Zhang","sequence":"additional","affiliation":[{"name":"National Engineering Research Center for Big Data Technology and System, Service Computing Technology and System Lab, Cluster and Grid Computing Lab, School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9584-0082","authenticated-orcid":false,"given":"Binbin","family":"Chen","sequence":"additional","affiliation":[{"name":"Singapore University of Technology and Design, Singapore, Singapore"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8618-4581","authenticated-orcid":false,"given":"Bingsheng","family":"He","sequence":"additional","affiliation":[{"name":"National University of Singapore, Singapore, Singapore"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6302-813X","authenticated-orcid":false,"given":"Xiaofei","family":"Liao","sequence":"additional","affiliation":[{"name":"National Engineering Research Center for Big Data Technology and System, Service Computing Technology and System Lab, Cluster and Grid Computing Lab, School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3934-7605","authenticated-orcid":false,"given":"Hai","family":"Jin","sequence":"additional","affiliation":[{"name":"National Engineering Research Center for Big Data Technology and System, Service Computing Technology and System Lab, Cluster and Grid Computing Lab, School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2026,4,12]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Proceedings of Advances in Neural Information Processing Systems. 11872-11883","author":"Aljundi Rahaf","year":"2019","unstructured":"Rahaf Aljundi, Lucas Caccia, Eugene Belilovsky, Massimo Caccia, Min Lin, Laurent Charlin, and Tinne Tuytelaars. 2019a. Online Continual Learning with Maximal Interfered Retrieval. In Proceedings of Advances in Neural Information Processing Systems. 11872-11883."},{"key":"e_1_3_2_1_2_1","volume-title":"Proceedings of Advances in Neural Information Processing Systems. 11817-11826","author":"Aljundi Rahaf","year":"2019","unstructured":"Rahaf Aljundi, Min Lin, Baptiste Goujaud, and Yoshua Bengio. 2019b. Gradient Based Sample Selection for Online Continual Learning. In Proceedings of Advances in Neural Information Processing Systems. 11817-11826."},{"key":"e_1_3_2_1_3_1","first-page":"14879","article-title":"Coresets via Bilevel Optimization for Continual Learning and Streaming","author":"Borsos Zal\u00e1n","year":"2020","unstructured":"Zal\u00e1n Borsos, Mojm\u00edr Mutn\u00fd, and Andreas Krause. 2020. Coresets via Bilevel Optimization for Continual Learning and Streaming. In Proceedings of Advances in Neural Information Processing Systems. 14879-14890.","journal-title":"Proceedings of Advances in Neural Information Processing Systems."},{"key":"e_1_3_2_1_4_1","volume-title":"Proceedings of Advances in Neural Information Processing Systems. 1877-1901","author":"Brown Tom","year":"2020","unstructured":"Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, Sandhini Agarwal, Ariel Herbert-Voss, Gretchen Krueger, Tom Henighan, Rewon Child, Aditya Ramesh, Daniel Ziegler, Jeffrey Wu, Clemens Winter, Christopher Hesse, Mark Chen, Eric Sigler, Mateusz Litwin, Scott Gray, Benjamin Chess, Jack Clark, Christopher Berner, Sam McCandlish, Alec Radford, Ilya Sutskever, and Dario Amodei. 2020. Language Models are Few-Shot Learners. In Proceedings of Advances in Neural Information Processing Systems. 1877-1901."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00951"},{"key":"e_1_3_2_1_6_1","volume-title":"Philip HS Torr, and Marc'Aurelio Ranzato","author":"Chaudhry Arslan","year":"2019","unstructured":"Arslan Chaudhry, Marcus Rohrbach, Mohamed Elhoseiny, Thalaiyasingam Ajanthan, Puneet K Dokania, Philip HS Torr, and Marc'Aurelio Ranzato. 2019. On Tiny Episodic Memories in Continual Learning. arXiv preprint arXiv:1902.10486 (2019)."},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00950"},{"key":"e_1_3_2_1_8_1","volume-title":"Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 4171-4186","author":"Devlin Jacob","year":"2019","unstructured":"Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 4171-4186."},{"key":"e_1_3_2_1_9_1","volume-title":"Proceedings of International Conference on Learning Representations.","author":"Dosovitskiy Alexey","year":"2021","unstructured":"Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, Jakob Uszkoreit, and Neil Houlsby. 2021. An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale. In Proceedings of International Conference on Learning Representations."},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01144"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i11.29111"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW54120.2021.00265"},{"key":"e_1_3_2_1_13_1","volume-title":"Visual Prompt Tuning. In European Conference on Computer Vision. 709-727","author":"Jia Menglin","year":"2022","unstructured":"Menglin Jia, Luming Tang, Bor-Chun Chen, Claire Cardie, Serge Belongie, Bharath Hariharan, and Ser-Nam Lim. 2022. Visual Prompt Tuning. In European Conference on Computer Vision. 709-727."},{"key":"e_1_3_2_1_14_1","first-page":"29193","article-title":"Gradient-based Editing of Memory Examples for Online Task-free Continual Learning","author":"Jin Xisen","year":"2021","unstructured":"Xisen Jin, Arka Sadhu, Junyi Du, and Xiang Ren. 2021. Gradient-based Editing of Memory Examples for Online Task-free Continual Learning. In Proceedings of Advances in Neural Information Processing Systems. 29193-29205.","journal-title":"Proceedings of Advances in Neural Information Processing Systems."},{"key":"e_1_3_2_1_15_1","volume-title":"Proceedings of the 38th International Conference on Machine Learning. 5464-5474","author":"Killamsetty Krishnateja","year":"2021","unstructured":"Krishnateja Killamsetty, Sivasubramanian Durga, Ganesh Ramakrishnan, Abir De, and Rishabh Iyer. 2021. GRAD-MATCH: Gradient Matching based Data Subset Selection for Efficient Deep Model Training. In Proceedings of the 38th International Conference on Machine Learning. 5464-5474."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/3514221.3517836"},{"key":"e_1_3_2_1_17_1","volume-title":"Proceedings of Thirty-fifth Conference on Neural Information Processing Systems Datasets and Benchmarks Track. 1-39","author":"Lin Zhiqiu","year":"2021","unstructured":"Zhiqiu Lin, Jia Shi, Deepak Pathak, and Deva Ramanan. 2021. The CLEAR Benchmark: Continual LEArning on Real-World Imagery. In Proceedings of Thirty-fifth Conference on Neural Information Processing Systems Datasets and Benchmarks Track. 1-39."},{"key":"e_1_3_2_1_18_1","first-page":"1","article-title":"Pre-train, Prompt, and Predict","volume":"55","author":"Liu Pengfei","year":"2023","unstructured":"Pengfei Liu, Weizhe Yuan, Jinlan Fu, Zhengbao Jiang, Hiroaki Hayashi, and Graham Neubig. 2023. Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing. ACM Comput. Surv., Vol. 55, 9 (2023), 1-35.","journal-title":"ACM Comput. Surv."},{"key":"e_1_3_2_1_19_1","volume-title":"Proceedings of the 1st Annual Conference on Robot Learning. 17-26","author":"Lomonaco Vincenzo","year":"2017","unstructured":"Vincenzo Lomonaco and Davide Maltoni. 2017. CORe50: a New Dataset and Benchmark for Continuous Object Recognition. In Proceedings of the 1st Annual Conference on Robot Learning. 17-26."},{"key":"e_1_3_2_1_20_1","volume-title":"Proceedings of the 37th International Conference on Machine Learning. 6950-6960","author":"Mirzasoleiman Baharan","year":"2020","unstructured":"Baharan Mirzasoleiman, Jeff Bilmes, and Jure Leskovec. 2020. Coresets for Data-efficient Training of Machine Learning Models. In Proceedings of the 37th International Conference on Machine Learning. 6950-6960."},{"key":"e_1_3_2_1_21_1","volume-title":"Proceedings of the 38th International Conference on Machine Learning. 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, Gretchen Krueger, and Ilya Sutskever. 2021. Learning Transferable Visual Models From Natural Language Supervision. In Proceedings of the 38th International Conference on Machine Learning. 8748-8763."},{"key":"e_1_3_2_1_22_1","volume-title":"ImageNet-21K Pretraining for the Masses. arXiv preprint arXiv:2104.10972","author":"Ridnik Tal","year":"2021","unstructured":"Tal Ridnik, Emanuel Ben-Baruch, Asaf Noy, and Lihi Zelnik-Manor. 2021. ImageNet-21K Pretraining for the Masses. arXiv preprint arXiv:2104.10972 (2021)."},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW50498.2020.00122"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-015-0816-y"},{"key":"e_1_3_2_1_25_1","volume-title":"Proceedings of International Conference on Learning Representations.","author":"Sener Ozan","year":"2018","unstructured":"Ozan Sener and Silvio Savarese. 2018. Active Learning for Convolutional Neural Networks: A Core-Set Approach. In Proceedings of International Conference on Learning Representations."},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i11.17159"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01146"},{"key":"e_1_3_2_1_28_1","volume-title":"LLaMA: Open and Efficient Foundation Language Models. arXiv preprint arXiv:2302.13971","author":"Touvron Hugo","year":"2023","unstructured":"Hugo Touvron, Thibaut Lavril, Gautier Izacard, Xavier Martinet, Marie-Anne Lachaux, Timoth\u00e9e Lacroix, Baptiste Rozi\u00e8re, Naman Goyal, Eric Hambro, Faisal Azhar, Aurelien Rodriguez, Armand Joulin, Edouard Grave, and Guillaume Lample. 2023. LLaMA: Open and Efficient Foundation Language Models. arXiv preprint arXiv:2302.13971 (2023)."},{"key":"e_1_3_2_1_29_1","volume-title":"Proceedings of Advances in Neural Information Processing Systems","volume":"36","author":"Wang Liyuan","year":"2024","unstructured":"Liyuan Wang, Jingyi Xie, Xingxing Zhang, Mingyi Huang, Hang Su, and Jun Zhu. 2024. Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality. Proceedings of Advances in Neural Information Processing Systems, Vol. 36 (2024)."},{"key":"e_1_3_2_1_30_1","first-page":"5682","article-title":"S-Prompts Learning with Pre-trained Transformers: An Occam's Razor for Domain Incremental Learning","author":"Wang Yabin","year":"2022","unstructured":"Yabin Wang, Zhiwu Huang, and Xiaopeng Hong. 2022a. S-Prompts Learning with Pre-trained Transformers: An Occam's Razor for Domain Incremental Learning. Proceedings of Advances in Neural Information Processing Systems, 5682-5695.","journal-title":"Proceedings of Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19809-0_36"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00024"},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.emnlp-main.380"},{"key":"e_1_3_2_1_34_1","first-page":"1309","article-title":"Towards Free Data Selection with General-Purpose Models","author":"Xie Yichen","year":"2024","unstructured":"Yichen Xie, Mingyu Ding, Masayoshi Tomizuka, and Wei Zhan. 2024. Towards Free Data Selection with General-Purpose Models. In Proceedings of Advances in Neural Information Processing Systems. 1309-1325.","journal-title":"Proceedings of Advances in Neural Information Processing Systems."},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00018"},{"key":"e_1_3_2_1_36_1","volume-title":"Image BERT Pre-training with Online Tokenizer. In International Conference on Learning Representations.","author":"Zhou Jinghao","year":"2022","unstructured":"Jinghao Zhou, Chen Wei, Huiyu Wang, Wei Shen, Cihang Xie, Alan Yuille, and Tao Kong. 2022. Image BERT Pre-training with Online Tokenizer. In International Conference on Learning Representations."},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.1093\/nsr\/nwae204"}],"event":{"name":"WWW '26: The ACM Web Conference 2026","location":"Dubai United Arab Emirates","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web"]},"container-title":["Proceedings of the ACM Web Conference 2026"],"original-title":[],"deposited":{"date-parts":[[2026,4,10]],"date-time":"2026-04-10T16:27:36Z","timestamp":1775838456000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3774904.3792584"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,4,12]]},"references-count":37,"alternative-id":["10.1145\/3774904.3792584","10.1145\/3774904"],"URL":"https:\/\/doi.org\/10.1145\/3774904.3792584","relation":{},"subject":[],"published":{"date-parts":[[2026,4,12]]},"assertion":[{"value":"2026-04-12","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}