{"year":"2017","publication_identifier":{"isbn":["978-153860457-1"]},"publication_status":"published","quality_controlled":"1","language":[{"iso":"eng"}],"scopus_import":"1","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","abstract":[{"text":"A major open problem on the road to artificial intelligence is the development of incrementally learning systems that learn about more and more concepts over time from a stream of data. In this work, we introduce a new training strategy, iCaRL, that allows learning in such a class-incremental way: only the training data for a small number of classes has to be present at the same time and new classes can be added progressively. iCaRL learns strong classifiers and a data representation simultaneously. This distinguishes it from earlier works that were fundamentally limited to fixed data representations and therefore incompatible with deep learning architectures. We show by experiments on CIFAR-100 and ImageNet ILSVRC 2012 data that iCaRL can learn many classes incrementally over a long period of time where other strategies quickly fail. ","lang":"eng"}],"_id":"998","date_created":"2018-12-11T11:49:37Z","author":[{"full_name":"Rebuffi, Sylvestre Alvise","first_name":"Sylvestre Alvise","last_name":"Rebuffi"},{"id":"2D157DB6-F248-11E8-B48F-1D18A9856A87","last_name":"Kolesnikov","full_name":"Kolesnikov, Alexander","first_name":"Alexander"},{"first_name":"Georg","full_name":"Sperl, Georg","id":"4DD40360-F248-11E8-B48F-1D18A9856A87","last_name":"Sperl"},{"last_name":"Lampert","id":"40C20FD2-F248-11E8-B48F-1D18A9856A87","full_name":"Lampert, Christoph","first_name":"Christoph","orcid":"0000-0001-8622-7887"}],"title":"iCaRL: Incremental classifier and representation learning","doi":"10.1109/CVPR.2017.587","main_file_link":[{"url":"https://arxiv.org/abs/1611.07725","open_access":"1"}],"day":"14","oa_version":"Submitted Version","date_updated":"2025-06-04T08:18:32Z","type":"conference","article_processing_charge":"No","arxiv":1,"date_published":"2017-04-14T00:00:00Z","conference":{"end_date":"2017-07-26","location":"Honolulu, HA, United States","start_date":"2017-07-21","name":"CVPR: Computer Vision and Pattern Recognition"},"page":"5533 - 5542","status":"public","citation":{"ama":"Rebuffi SA, Kolesnikov A, Sperl G, Lampert C. iCaRL: Incremental classifier and representation learning. In: Vol 2017. IEEE; 2017:5533-5542. doi:<a href=\"https://doi.org/10.1109/CVPR.2017.587\">10.1109/CVPR.2017.587</a>","ista":"Rebuffi SA, Kolesnikov A, Sperl G, Lampert C. 2017. iCaRL: Incremental classifier and representation learning. CVPR: Computer Vision and Pattern Recognition vol. 2017, 5533–5542.","apa":"Rebuffi, S. A., Kolesnikov, A., Sperl, G., &#38; Lampert, C. (2017). iCaRL: Incremental classifier and representation learning (Vol. 2017, pp. 5533–5542). Presented at the CVPR: Computer Vision and Pattern Recognition, Honolulu, HA, United States: IEEE. <a href=\"https://doi.org/10.1109/CVPR.2017.587\">https://doi.org/10.1109/CVPR.2017.587</a>","ieee":"S. A. Rebuffi, A. Kolesnikov, G. Sperl, and C. Lampert, “iCaRL: Incremental classifier and representation learning,” presented at the CVPR: Computer Vision and Pattern Recognition, Honolulu, HA, United States, 2017, vol. 2017, pp. 5533–5542.","chicago":"Rebuffi, Sylvestre Alvise, Alexander Kolesnikov, Georg Sperl, and Christoph Lampert. “ICaRL: Incremental Classifier and Representation Learning,” 2017:5533–42. IEEE, 2017. <a href=\"https://doi.org/10.1109/CVPR.2017.587\">https://doi.org/10.1109/CVPR.2017.587</a>.","mla":"Rebuffi, Sylvestre Alvise, et al. <i>ICaRL: Incremental Classifier and Representation Learning</i>. Vol. 2017, IEEE, 2017, pp. 5533–42, doi:<a href=\"https://doi.org/10.1109/CVPR.2017.587\">10.1109/CVPR.2017.587</a>.","short":"S.A. Rebuffi, A. Kolesnikov, G. Sperl, C. Lampert, in:, IEEE, 2017, pp. 5533–5542."},"external_id":{"arxiv":["1611.07725"],"isi":["000418371405066"]},"oa":1,"intvolume":"      2017","ec_funded":1,"project":[{"call_identifier":"FP7","grant_number":"308036","_id":"2532554C-B435-11E9-9278-68D0E5697425","name":"Lifelong Learning of Visual Scene Understanding"}],"volume":2017,"publisher":"IEEE","publist_id":"6400","month":"04","isi":1,"department":[{"_id":"ChLa"},{"_id":"ChWo"}]}