{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,16]],"date-time":"2026-06-16T08:57:55Z","timestamp":1781600275080,"version":"3.54.5"},"reference-count":82,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"10","license":[{"start":{"date-parts":[[2023,10,1]],"date-time":"2023-10-01T00:00:00Z","timestamp":1696118400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,10,1]],"date-time":"2023-10-01T00:00:00Z","timestamp":1696118400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,10,1]],"date-time":"2023-10-01T00:00:00Z","timestamp":1696118400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"National Key R&D Program of China","award":["2021YFA1003002"],"award-info":[{"award-number":["2021YFA1003002"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["12125104"],"award-info":[{"award-number":["12125104"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["U20B2075"],"award-info":[{"award-number":["U20B2075"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["12090021"],"award-info":[{"award-number":["12090021"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["11971373"],"award-info":[{"award-number":["11971373"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61721002"],"award-info":[{"award-number":["61721002"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Pattern Anal. Mach. Intell."],"published-print":{"date-parts":[[2023,10]]},"DOI":"10.1109\/tpami.2023.3271626","type":"journal-article","created":{"date-parts":[[2023,5,1]],"date-time":"2023-05-01T18:34:19Z","timestamp":1682966059000},"page":"12618-12634","source":"Crossref","is-referenced-by-count":26,"title":["Variational Data-Free Knowledge Distillation for Continual Learning"],"prefix":"10.1109","volume":"45","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2090-2592","authenticated-orcid":false,"given":"Xiaorong","family":"Li","sequence":"first","affiliation":[{"name":"School of Mathematics and Statistics, Xi’an Jiaotong University, Shaanxi, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4586-8287","authenticated-orcid":false,"given":"Shipeng","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Mathematics and Statistics, Xi’an Jiaotong University, Shaanxi, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7206-0641","authenticated-orcid":false,"given":"Jian","family":"Sun","sequence":"additional","affiliation":[{"name":"School of Mathematics and Statistics, Xi’an Jiaotong University, Shaanxi, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1719-3358","authenticated-orcid":false,"given":"Zongben","family":"Xu","sequence":"additional","affiliation":[{"name":"School of Mathematics and Statistics, Xi’an Jiaotong University, Shaanxi, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref13","first-page":"2994","article-title":"Continual learning with deep generative replay","author":"shin","year":"2017","journal-title":"Proc Adv Neural Inform Process Syst"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00914"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58536-5_31"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.754"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00025"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/WACV48630.2021.00333"},{"key":"ref14","article-title":"Exploring example influence in continual learning","author":"sun","year":"2022","journal-title":"Proc Adv Neural Inform Process Syst"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00361"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00694"},{"key":"ref52","first-page":"10919","article-title":"Ssul: Semantic segmentation with unknown label for exemplar-based class-incremental learning","volume":"34","author":"cha","year":"2021","journal-title":"Adv Neural Inform Process Syst"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00924"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00271"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58604-1_43"},{"key":"ref54","article-title":"Learning with style: Continual semantic segmentation across tasks and domains","author":"toldo","year":"2022"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00303"},{"key":"ref16","first-page":"12669","article-title":"Random path selection for incremental learning","author":"rajasegaran","year":"2019","journal-title":"Proc Adv Neural Inform Process Syst"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01219-9_9"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1038\/s42256-019-0080-x"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00925"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01352"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2019.00400"},{"key":"ref45","first-page":"17466","article-title":"Mitigating forgetting in online continual learning via instance-aware parameterization","volume":"33","author":"chen","year":"2020","journal-title":"Proc Adv Neural Inform Process Syst"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00403"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00117"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW50498.2020.00121"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58574-7_42"},{"key":"ref44","first-page":"1023","article-title":"Improved schemes for episodic memory-based lifelong learning","author":"guo","year":"2020","journal-title":"Proc Adv Neural Inform Process Syst"},{"key":"ref43","article-title":"Efficient lifelong learning with a-gem","author":"chaudhry","year":"2019","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00692"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/S0079-7421(08)60536-8"},{"key":"ref7","first-page":"4655","article-title":"Overcoming catastrophic forgetting by incremental moment matching","author":"lee","year":"2017","journal-title":"Proc Adv Neural Inform Process Syst"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00581"},{"key":"ref4","article-title":"Re-evaluating continual learning scenarios: A categorization and case for strong baselines","author":"hsu","year":"2018","journal-title":"Proc Adv Neural Inform Process Syst Workshop"},{"key":"ref3","first-page":"3366","article-title":"A continual learning survey: Defying forgetting in classification tasks","volume":"44","author":"delange","year":"2022","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"ref6","doi-asserted-by":"crossref","first-page":"3521","DOI":"10.1073\/pnas.1611835114","article-title":"Overcoming catastrophic forgetting in neural networks","volume":"114","author":"kirkpatrick","year":"2017","journal-title":"Proc Nat Acad Sci USA"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58598-3_28"},{"key":"ref82","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01091"},{"key":"ref81","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.74"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.753"},{"key":"ref80","doi-asserted-by":"crossref","first-page":"211","DOI":"10.1561\/0400000042","article-title":"The algorithmic foundations of differential privacy","volume":"9","author":"dwork","year":"2014","journal-title":"Found Trends Theor Comput Sci"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00092"},{"key":"ref79","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00591"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01322"},{"key":"ref78","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2699184"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00810"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00228"},{"key":"ref31","article-title":"Gradient projection memory for continual learning","author":"saha","year":"2021","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref75","article-title":"Fashion-mnist: A novel image dataset for benchmarking machine learning algorithms","author":"xiao","year":"2017"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-20050-2_33"},{"key":"ref74","article-title":"Reading digits in natural images with unsupervised feature learning","author":"netzer","year":"2011","journal-title":"Proc Adv Neural Inform Process Syst Workshop"},{"key":"ref33","first-page":"3987","article-title":"Continual learning through synaptic intelligence","author":"zenke","year":"2017","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref77","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.350"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19809-0_13"},{"key":"ref76","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01622"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2883941"},{"key":"ref1","doi-asserted-by":"crossref","first-page":"484","DOI":"10.1038\/nature16961","article-title":"Mastering the game of go with deep neural networks and tree search","volume":"529","author":"silver","year":"2016","journal-title":"Nature"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.1989.266646"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00907"},{"key":"ref71","article-title":"Tiny imagenet challenge","author":"wu","year":"2017"},{"key":"ref70","article-title":"Learning multiple layers of features from tiny images","author":"krizhevsky","year":"2009"},{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00040"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00986"},{"key":"ref23","first-page":"2654","article-title":"Do deep nets really need to be deep?","author":"ba","year":"2014","journal-title":"Proc Adv Neural Inform Process Syst"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46493-0_38"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00938"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00874"},{"key":"ref69","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2015","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2773081"},{"key":"ref64","first-page":"3647","article-title":"Continual learning with node-importance based adaptive group sparse regularization","volume":"33","author":"jung","year":"2020","journal-title":"Adv Neural Inform Process Syst"},{"key":"ref63","article-title":"Semi-supervised classification with graph convolutional networks","author":"kipf","year":"2017","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref22","article-title":"Distilling the knowledge in a neural network","author":"hinton","year":"2015"},{"key":"ref66","article-title":"Automatic differentiation in pytorch","author":"paszke","year":"2017","journal-title":"Proc Adv Neural Inform Process Syst Workshop"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.587"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i04.5981"},{"key":"ref28","first-page":"6467","article-title":"Gradient episodic memory for continual learning","volume":"30","author":"lopez-paz","year":"2017","journal-title":"Adv Neural Inform Process Syst"},{"key":"ref27","article-title":"Contextual transformation networks for online continual learning","author":"pham","year":"2021","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01640"},{"key":"ref60","first-page":"5714","article-title":"Self-supervised label augmentation via input transformations","author":"lee","year":"2020","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00815"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46466-4_5"}],"container-title":["IEEE Transactions on Pattern Analysis and Machine Intelligence"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/34\/10241246\/10113287.pdf?arnumber=10113287","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,7,9]],"date-time":"2024-07-09T18:25:43Z","timestamp":1720549543000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10113287\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,10]]},"references-count":82,"journal-issue":{"issue":"10"},"URL":"https:\/\/doi.org\/10.1109\/tpami.2023.3271626","relation":{},"ISSN":["0162-8828","2160-9292","1939-3539"],"issn-type":[{"value":"0162-8828","type":"print"},{"value":"2160-9292","type":"electronic"},{"value":"1939-3539","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,10]]}}}