{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,25]],"date-time":"2026-07-25T03:01:38Z","timestamp":1784948498086,"version":"3.55.0"},"publisher-location":"Cham","reference-count":25,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030012519","type":"print"},{"value":"9783030012526","type":"electronic"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018]]},"DOI":"10.1007\/978-3-030-01252-6_33","type":"book-chapter","created":{"date-parts":[[2018,10,5]],"date-time":"2018-10-05T13:48:05Z","timestamp":1538747285000},"page":"556-572","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":716,"title":["Riemannian Walk for Incremental Learning: Understanding Forgetting and Intransigence"],"prefix":"10.1007","author":[{"given":"Arslan","family":"Chaudhry","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Puneet K.","family":"Dokania","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Thalaiyasingam","family":"Ajanthan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Philip H. S.","family":"Torr","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2018,10,6]]},"reference":[{"key":"33_CR1","doi-asserted-by":"publisher","first-page":"251","DOI":"10.1162\/089976698300017746","volume":"10","author":"SI Amari","year":"1998","unstructured":"Amari, S.I.: Natural gradient works efficiently in learning. Neural Comput. 10, 251\u2013276 (1998)","journal-title":"Neural Comput."},{"key":"33_CR2","unstructured":"Grosse, R., Martens, J.: A kronecker-factored approximate fisher matrix for convolution layers. In: ICML (2016)"},{"issue":"Supplement\u20131","key":"33_CR3","doi-asserted-by":"publisher","first-page":"445","DOI":"10.1016\/0893-6080(88)90469-8","volume":"1","author":"R Hecht-Nielsen","year":"1988","unstructured":"Hecht-Nielsen, R., et al.: Theory of the backpropagation neural network. Neural Netw. 1(Supplement\u20131), 445\u2013448 (1988)","journal-title":"Neural Netw."},{"key":"33_CR4","unstructured":"Hinton, G., Vinyals, O., Dean, J.: Distilling the knowledge in a neural network. In: NIPS (2014)"},{"key":"33_CR5","unstructured":"Kingma, D., Ba, J.: Adam: a method for stochastic optimization. In: ICLR (2015)"},{"key":"33_CR6","unstructured":"Kirkpatrick, J., et al.: Overcoming catastrophic forgetting in neural networks. In: Proceedings of the National Academy of Sciences of the United States of America (PNAS) (2016)"},{"key":"33_CR7","unstructured":"Krizhevsky, A., Hinton, G.: Learning multiple layers of features from tiny images (2009). https:\/\/www.cs.toronto.edu\/~kriz\/cifar.html"},{"key":"33_CR8","doi-asserted-by":"publisher","first-page":"79","DOI":"10.1214\/aoms\/1177729694","volume":"22","author":"S Kullback","year":"1951","unstructured":"Kullback, S., Leibler, R.A.: On information and sufficiency. Ann. Math. Stat. 22, 79\u201386 (1951)","journal-title":"Ann. Math. Stat."},{"key":"33_CR9","unstructured":"Le Roux, N., Pierre-Antoine, M., Bengio, Y.: Topmoumoute online natural gradient algorithm. In: NIPS (2007)"},{"key":"33_CR10","unstructured":"LeCun, Y.: The MNIST database of handwritten digits (1998). http:\/\/yann.lecun.com\/exdb\/mnist\/"},{"key":"33_CR11","doi-asserted-by":"publisher","DOI":"10.1007\/b98852","volume-title":"Riemannian Manifolds: An Introduction to Curvature","author":"JM Lee","year":"2006","unstructured":"Lee, J.M.: Riemannian Manifolds: An Introduction to Curvature, vol. 176. Springer, New York (2006). https:\/\/doi.org\/10.1007\/b98852"},{"key":"33_CR12","unstructured":"Lee, S.W., Kim, J.H., Ha, J.W., Zhang, B.T.: Overcoming catastrophic forgetting by incremental moment matching. In: NIPS (2017)"},{"key":"33_CR13","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"614","DOI":"10.1007\/978-3-319-46493-0_37","volume-title":"Computer Vision \u2013 ECCV 2016","author":"Z Li","year":"2016","unstructured":"Li, Z., Hoiem, D.: Learning without forgetting. In: Leibe, B., Matas, J., Sebe, N., Welling, M. (eds.) ECCV 2016. LNCS, vol. 9908, pp. 614\u2013629. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-46493-0_37"},{"key":"33_CR14","unstructured":"Lopez-Paz, D., Ranzato, M.: Gradient episodic memory for continuum learning. In: NIPS (2017)"},{"key":"33_CR15","unstructured":"Martens, J., Grosse, R.: Optimizing neural networks with kronecker-factored approximate curvature. In: ICML (2015)"},{"key":"33_CR16","unstructured":"Nguyen, C.V., Li, Y., Bui, T.D., Turner, R.E.: Variational continual learning. In: ICLR (2018)"},{"key":"33_CR17","unstructured":"Pascanu, R., Bengio, Y.: Revisiting natural gradient for deep networks. In: ICLR (2014)"},{"key":"33_CR18","unstructured":"Rebuffi, S.A., Bilen, H., Vedaldi, A.: Learning multiple visual domains with residual adapters. In: NIPS (2017)"},{"key":"33_CR19","doi-asserted-by":"crossref","unstructured":"Rebuffi, S.V., Kolesnikov, A., Lampert, C.H.: iCaRL: incremental classifier and representation learning. In: CVPR (2017)","DOI":"10.1109\/CVPR.2017.587"},{"key":"33_CR20","unstructured":"Rusu, A.A., et al.: Progressive neural networks. arXiv preprint arXiv:1606.04671 (2016)"},{"key":"33_CR21","unstructured":"Schwarz, J., et al.: Progress & compress: a scalable framework for continual learning. In: ICML (2018)"},{"key":"33_CR22","unstructured":"Shin, H., Lee, J.K., Kim, J., Kim, J.: Continual learning with deep generative replay. In: NIPS (2017)"},{"key":"33_CR23","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"268","DOI":"10.1007\/978-3-319-22979-9_27","volume-title":"Biomimetic and Biohybrid Systems","author":"AV Terekhov","year":"2015","unstructured":"Terekhov, A.V., Montone, G., O\u2019Regan, J.K.: Knowledge transfer in deep block-modular neural networks. In: Wilson, S.P., Verschure, P.F.M.J., Mura, A., Prescott, T.J. (eds.) LIVINGMACHINES 2015. LNCS (LNAI), vol. 9222, pp. 268\u2013279. Springer, Cham (2015). https:\/\/doi.org\/10.1007\/978-3-319-22979-9_27"},{"key":"33_CR24","unstructured":"Yoon, J., Yang, E., Lee, J., Hwang, S.J.: Lifelong learning with dynamically expandable networks. In: ICLR (2018)"},{"key":"33_CR25","unstructured":"Zenke, F., Poole, B., Ganguli, S.: Continual learning through synaptic intelligence. In: ICML (2017)"}],"container-title":["Lecture Notes in Computer Science","Computer Vision \u2013 ECCV 2018"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-01252-6_33","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,10,5]],"date-time":"2022-10-05T00:04:26Z","timestamp":1664928266000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-01252-6_33"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783030012519","9783030012526"],"references-count":25,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-01252-6_33","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018]]},"assertion":[{"value":"6 October 2018","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ECCV","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"European Conference on Computer Vision","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Munich","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Germany","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2018","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8 September 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14 September 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"eccv2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/eccv2018.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}