{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,11]],"date-time":"2026-03-11T16:35:58Z","timestamp":1773246958693,"version":"3.50.1"},"reference-count":60,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"7","license":[{"start":{"date-parts":[[2025,7,1]],"date-time":"2025-07-01T00:00:00Z","timestamp":1751328000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"name":"PNRR MUR Project","award":["PE0000013-FAIR"],"award-info":[{"award-number":["PE0000013-FAIR"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Neural Netw. Learning Syst."],"published-print":{"date-parts":[[2025,7]]},"DOI":"10.1109\/tnnls.2024.3458440","type":"journal-article","created":{"date-parts":[[2024,9,26]],"date-time":"2024-09-26T13:48:17Z","timestamp":1727358497000},"page":"12668-12679","source":"Crossref","is-referenced-by-count":5,"title":["Wake-Sleep Consolidated Learning"],"prefix":"10.1109","volume":"36","author":[{"ORCID":"https:\/\/orcid.org\/0009-0001-8539-6299","authenticated-orcid":false,"given":"Amelia","family":"Sorrenti","sequence":"first","affiliation":[{"name":"PeRCeiVe Lab Research Group, University of Catania, Catania, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1333-8348","authenticated-orcid":false,"given":"Giovanni","family":"Bellitto","sequence":"additional","affiliation":[{"name":"PeRCeiVe Lab Research Group, University of Catania, Catania, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6122-4249","authenticated-orcid":false,"given":"Federica Proietto","family":"Salanitri","sequence":"additional","affiliation":[{"name":"PeRCeiVe Lab Research Group, University of Catania, Catania, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6721-4383","authenticated-orcid":false,"given":"Matteo","family":"Pennisi","sequence":"additional","affiliation":[{"name":"PeRCeiVe Lab Research Group, University of Catania, Catania, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2441-0982","authenticated-orcid":false,"given":"Simone","family":"Palazzo","sequence":"additional","affiliation":[{"name":"PeRCeiVe Lab Research Group, University of Catania, Catania, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6653-2577","authenticated-orcid":false,"given":"Concetto","family":"Spampinato","sequence":"additional","affiliation":[{"name":"PeRCeiVe Lab Research Group, University of Catania, Catania, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.tics.2016.05.004"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1037\/\/0033-295x.102.3.419"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/tpami.2023.3324203"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19809-0_36"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1038\/nn1825"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuron.2004.08.031"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.2123432119"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1126\/science.8235588"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.7554\/eLife.18607"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.7554\/eLife.76384"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3057446"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2019.01.012"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/s0079-7421(08)60536-8"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1611835114"},{"key":"ref15","first-page":"3987","article-title":"Continual learning through synaptic intelligence","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Zenke"},{"key":"ref16","first-page":"4528","article-title":"Progress & compress: A scalable framework for continual learning","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Schwarz"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00810"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1080\/09540099550039318"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.587"},{"key":"ref20","first-page":"15920","article-title":"Dark experience for general continual learning: A strong, simple baseline","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Buzzega"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01151"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1038\/s42256-022-00568-3"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1037\/\/0033-295x.97.2.285"},{"key":"ref24","article-title":"Continual learning with tiny episodic memories","volume-title":"Proc. Workshop Multi-Task Lifelong Reinforcement Learn.","author":"Dokania"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2024.06.020"},{"key":"ref26","first-page":"11817","article-title":"Gradient based sample selection for online continual learning","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Aljundi"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i8.16861"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00814"},{"key":"ref29","article-title":"New insights on reducing abrupt representation change in online continual learning","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Caccia"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW53098.2021.00398"},{"key":"ref31","first-page":"8109","article-title":"Online continual learning through mutual information maximization","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Guo"},{"key":"ref32","article-title":"FearNet: Brain-inspired model for incremental learning","author":"Kemker","year":"2017","journal-title":"arXiv:1711.10563"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00938"},{"key":"ref34","article-title":"Learning fast, learning slow: A general continual learning method based on complementary learning system","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Arani"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1126\/science.7761831"},{"key":"ref36","article-title":"Reweighted wake-sleep","author":"Bornschein","year":"2014","journal-title":"arXiv:1406.2751"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-022-34938-7"},{"key":"ref38","article-title":"SIESTA: Efficient online continual learning with sleep","author":"Harun","year":"2023","journal-title":"Trans. Mach. Learn. Res."},{"key":"ref39","article-title":"Continual learning via neural pruning","author":"Golkar","year":"2019","journal-title":"arXiv:1903.04476"},{"key":"ref40","first-page":"15173","article-title":"Supermasks in superposition","volume-title":"Proc. 34th Int. Conf. Neural Inf. Process. Syst. (NIPS)","author":"Wortsman"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2021.09.007"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1162\/089892903321107774"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.3389\/fpsyg.2015.01961"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1016\/S1364-6613(03)00162-1"},{"key":"ref45","first-page":"6470","article-title":"Gradient episodic memory for continual learning","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Lopez-Paz"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR56361.2022.9956694"},{"key":"ref47","volume-title":"Tiny ImageNet Challenge (CS231n)","year":"2015"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58536-5_31"},{"key":"ref49","article-title":"An image is worth 16\u00d716 words: Transformers for image recognition at scale","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Dosovitskiy"},{"key":"ref50","first-page":"17","article-title":"Core50: A new dataset and benchmark for continuous object recognition","volume-title":"Proc. Conf. Robot Learn.","author":"Lomonaco"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2773081"},{"key":"ref52","article-title":"Efficient lifelong learning with A-GEM","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Chaudhry"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00046"},{"key":"ref54","article-title":"Measuring and regularizing networks in function space","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Benjamin"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00092"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR48806.2021.9413299"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuron.2017.06.011"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2018.12.002"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuron.2013.12.025"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1016\/j.tics.2007.09.001"}],"container-title":["IEEE Transactions on Neural Networks and Learning Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/5962385\/11073756\/10695036.pdf?arnumber=10695036","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,9]],"date-time":"2025-07-09T23:20:00Z","timestamp":1752103200000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10695036\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,7]]},"references-count":60,"journal-issue":{"issue":"7"},"URL":"https:\/\/doi.org\/10.1109\/tnnls.2024.3458440","relation":{},"ISSN":["2162-237X","2162-2388"],"issn-type":[{"value":"2162-237X","type":"print"},{"value":"2162-2388","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,7]]}}}