{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T02:58:42Z","timestamp":1743044322416,"version":"3.40.3"},"publisher-location":"Cham","reference-count":23,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030227951"},{"type":"electronic","value":"9783030227968"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019]]},"DOI":"10.1007\/978-3-030-22796-8_39","type":"book-chapter","created":{"date-parts":[[2019,6,25]],"date-time":"2019-06-25T22:02:21Z","timestamp":1561500141000},"page":"370-378","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Overcoming Catastrophic Interference with Bayesian Learning and Stochastic Langevin Dynamics"],"prefix":"10.1007","author":[{"given":"Mikhail","family":"Leontev","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alexander","family":"Mikheev","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kirill","family":"Sviatov","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8966-6030","authenticated-orcid":false,"given":"Sergey","family":"Sukhov","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,6,26]]},"reference":[{"key":"39_CR1","first-page":"109","volume-title":"Psychology of Learning and Motivation","author":"M McCloskey","year":"1989","unstructured":"McCloskey, M., Cohen, N.-J.: Catastrophic interference in connectionist networks: the sequential learning problem. In: Bower, G.H. (ed.) Psychology of Learning and Motivation, vol. 24, pp. 109\u2013165. Academic Press, San Diego (1989)"},{"issue":"3","key":"39_CR2","doi-asserted-by":"crossref","first-page":"359","DOI":"10.1007\/s11704-016-6903-6","volume":"11","author":"B Liu","year":"2017","unstructured":"Liu, B.: Lifelong machine learning: a paradigm for continuous learning. Front. Comput. Sci. 11(3), 359\u2013361 (2017)","journal-title":"Front. Comput. Sci."},{"key":"39_CR3","unstructured":"Silver, D.-L., Yang, Q., Li, L.: Lifelong machine learning systems: beyond learning algorithms. In: AAAI Spring Symposium Lifelong Machine Learning, p. 5. AAAI, Stanford (2013)"},{"issue":"6","key":"39_CR4","doi-asserted-by":"crossref","first-page":"1511","DOI":"10.1109\/TNN.2006.881710","volume":"17","author":"M-C Choy","year":"2006","unstructured":"Choy, M.-C., Srinivasan, D., Cheu, R.-L.: Neural networks for continuous online learning and control. IEEE Trans. Neural Netw. 17(6), 1511\u20131531 (2006)","journal-title":"IEEE Trans. Neural Netw."},{"key":"39_CR5","unstructured":"Goodfellow, I.-J., Mirza, M., Xiao, D., Courville, A., Bengio, Y.: An empirical investigation of catastrophic forgetting in gradient-based neural networks. arXiv preprint arXiv:1312.6211 (2013)"},{"issue":"13","key":"39_CR6","doi-asserted-by":"crossref","first-page":"3521","DOI":"10.1073\/pnas.1611835114","volume":"114","author":"J Kirkpatrick","year":"2017","unstructured":"Kirkpatrick, J., et al.: Overcoming catastrophic forgetting in neural networks. Proc. Natl. Acad. Sci. U.S.A. 114(13), 3521\u20133526 (2017)","journal-title":"Proc. Natl. Acad. Sci. U.S.A."},{"key":"39_CR7","unstructured":"Zenke, F., Poole, B., Ganguli S.: Continual learning through synaptic intelligence. In: Proceedings of the 34th International Conference on Machine Learning, vol. 70, pp. 3987\u20133995. PMLR, Sydney (2017)"},{"key":"39_CR8","unstructured":"Lee, S.-W., Kim, J.-H., Jun, J., Ha, J.-W., Zhang, B.-T.: Overcoming catastrophic forgetting by incremental moment matching. In: Advances in Neural Information Processing Systems, pp. 4652\u20134662. Curran Associates Inc., Long Beach (2017)"},{"issue":"2","key":"39_CR9","doi-asserted-by":"crossref","first-page":"123","DOI":"10.1080\/09540099550039318","volume":"7","author":"A Robins","year":"1995","unstructured":"Robins, A.: Catastrophic forgetting, rehearsal and pseudorehearsal. Connect. Sci. 7(2), 123\u2013146 (1995)","journal-title":"Connect. Sci."},{"issue":"4","key":"39_CR10","doi-asserted-by":"crossref","first-page":"353","DOI":"10.1080\/095400997116595","volume":"9","author":"R-M French","year":"1997","unstructured":"French, R.-M.: Pseudo-recurrent connectionist networks: an approach to the \u2018sensitivity-stability\u2019 dilemma. Connect. Sci. 9(4), 353\u2013380 (1997)","journal-title":"Connect. Sci."},{"issue":"12","key":"39_CR11","first-page":"989","volume":"320","author":"B Ans","year":"1997","unstructured":"Ans, B., Rousset, S.: Avoiding catastrophic forgetting by coupling two reverberating neural networks. Comptes Rendus de l\u2019Acad\u00e9mie des Sciences-Series III-Sciences de la Vie 320(12), 989\u2013997 (1997)","journal-title":"Comptes Rendus de l\u2019Acad\u00e9mie des Sciences-Series III-Sciences de la Vie"},{"key":"39_CR12","unstructured":"Mocanu, D.-C., Vega, M.-T., Eaton, E., Stone, P., Liotta, A.: Online contrastive divergence with generative replay: Experience replay without storing data. arXiv preprint arXiv:1610.05555 (2016)"},{"key":"39_CR13","unstructured":"Shin, H., Lee, J.-K., Kim, J., Kim, J.: Continual learning with deep generative replay. In: Advances in Neural Information Processing Systems, pp. 2990\u20132999. Curran Associates Inc., Long Beach (2017)"},{"key":"39_CR14","unstructured":"van de Ven, G.-M., Tolias, A.-S.: Generative replay with feedback connections as a general strategy for continual learning. arXiv preprint arXiv:1809.10635 (2018)"},{"key":"39_CR15","unstructured":"Simonyan, K., Vedaldi, A., Zisserman, A.: Deep inside convolutional networks: Visualising image classification models and saliency maps. arXiv preprint arXiv:1312.6034 (2013)"},{"issue":"3","key":"39_CR16","first-page":"1","volume":"1341","author":"D Erhan","year":"2009","unstructured":"Erhan, D., Bengio, Y., Courville, A., Vincent, P.: Visualizing higher-layer features of a deep network. Univ. Mont. 1341(3), 1 (2009)","journal-title":"Univ. Mont."},{"key":"39_CR17","unstructured":"Yosinski, J., Clune, J., Fuchs, T., Lipson, H.: Understanding neural networks through deep visualization. arXiv preprint arXiv:1506.06579 (2015)"},{"key":"39_CR18","doi-asserted-by":"crossref","unstructured":"Lewis, J.: Creation by refinement: a creativity paradigm for gradient descent learning networks. In: IEEE 1988 International Conference on Neural Networks, vol. 2, pp. 229\u2013233. IEEE, San Diego (1988)","DOI":"10.1109\/ICNN.1988.23933"},{"key":"39_CR19","unstructured":"Welling, M., Teh, Y.-W.: Bayesian learning via stochastic gradient Langevin dynamics. In: Proceedings of the 28th International Conference on Machine Learning (ICML 2011), pp. 681\u2013688. Omnipress, Bellevue (2011)"},{"issue":"12","key":"39_CR20","doi-asserted-by":"crossref","first-page":"834","DOI":"10.1038\/nphoton.2012.278","volume":"6","author":"K-M Douglass","year":"2012","unstructured":"Douglass, K.-M., Sukhov, S., Dogariu, A.: Superdiffusion in optically controlled active media. Nat. Photon. 6(12), 834\u2013837 (2012)","journal-title":"Nat. Photon."},{"issue":"3","key":"39_CR21","doi-asserted-by":"crossref","first-page":"2833","DOI":"10.1103\/PhysRevE.58.2833","volume":"58","author":"A-H Romero","year":"1998","unstructured":"Romero, A.-H., Sancho, J.-M.: Brownian motion in short range random potentials. Phys. Rev. E 58(3), 2833 (1998)","journal-title":"Phys. Rev. E"},{"key":"39_CR22","doi-asserted-by":"crossref","first-page":"496","DOI":"10.4028\/www.scientific.net\/AMM.421.496","volume":"421","author":"A-F Kamaruzaman","year":"2013","unstructured":"Kamaruzaman, A.-F., Zain, A.-M., Yusuf, S.-M., Udin, A.: Levy flight algorithm for optimization problems-a literature review. Appl. Mech. Mater. 421, 496\u2013501 (2013)","journal-title":"Appl. Mech. Mater."},{"issue":"11","key":"39_CR23","doi-asserted-by":"crossref","first-page":"2278","DOI":"10.1109\/5.726791","volume":"86","author":"Y Lecun","year":"1998","unstructured":"Lecun, Y., Bottou, L., Bengio, Y., Haffner, P.: Gradient-based learning applied to document recognition. Proc. IEEE 86(11), 2278\u20132324 (1998)","journal-title":"Proc. IEEE"}],"container-title":["Lecture Notes in Computer Science","Advances in Neural Networks \u2013 ISNN 2019"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-22796-8_39","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,7]],"date-time":"2024-03-07T13:53:30Z","timestamp":1709819610000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-22796-8_39"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030227951","9783030227968"],"references-count":23,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-22796-8_39","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"26 June 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ISNN","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Symposium on Neural Networks","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Moscow","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Russia","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"10 July 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12 July 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"isnn2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/conference.cs.cityu.edu.hk\/isnn\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}