{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,7]],"date-time":"2024-09-07T02:33:02Z","timestamp":1725676382439},"reference-count":17,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,5,1]],"date-time":"2019-05-01T00:00:00Z","timestamp":1556668800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,5,1]],"date-time":"2019-05-01T00:00:00Z","timestamp":1556668800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,5,1]],"date-time":"2019-05-01T00:00:00Z","timestamp":1556668800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019,5]]},"DOI":"10.1109\/icassp.2019.8682848","type":"proceedings-article","created":{"date-parts":[[2019,4,17]],"date-time":"2019-04-17T20:01:56Z","timestamp":1555531316000},"page":"3637-3641","source":"Crossref","is-referenced-by-count":0,"title":["Network Adaptation Strategies for Learning New Classes without Forgetting the Original Ones"],"prefix":"10.1109","author":[{"given":"Hagai","family":"Taitelbaum","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gal","family":"Chechik","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jacob","family":"Goldberger","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","first-page":"3","article-title":"Exemplar-supported generative reproduction for class incremental learning","author":"he","year":"2018","journal-title":"29th British Machine Vision Conference"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2018-1342"},{"key":"ref12","article-title":"Distilling the knowledge in a neural network","author":"hinton","year":"2014","journal-title":"NIPS Workshop on Deep Learning"},{"year":"2015","key":"ref13","article-title":"NIST language recognition i-vector machine learning challenge"},{"key":"ref14","doi-asserted-by":"crossref","DOI":"10.21437\/Interspeech.2011-328","article-title":"Language recognition via Ivectors and dimensionality reduction","author":"dehak","year":"2011","journal-title":"InterSpeech"},{"key":"ref15","article-title":"Learning multiple layers of features from tiny images","author":"krizhevsky","year":"2009","journal-title":"Citeseer Tech Rep"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref17","first-page":"1139","article-title":"On the importance of initialization and momentum in deep learning","author":"sutskever","year":"2013","journal-title":"Int Conference on Machine Learning"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46493-0_37"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/S1364-6613(99)01294-2"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.587"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1611835114"},{"key":"ref8","article-title":"Incremental classifier learning with generative adversarial networks","author":"wu","year":"2018","journal-title":"arXiv preprint arxiv 1802 05807"},{"key":"ref7","article-title":"Pseudo-recursal: Solving the catastrophic forgetting problem in deep neural networks","author":"atkinson","year":"2018","journal-title":"arXiv preprint arxiv 1802 05807"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/S0079-7421(08)60536-8"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CSF.2017.10"},{"key":"ref9","first-page":"2990","article-title":"Continual learning with deep generative replay","author":"shin","year":"2017","journal-title":"Advances in neural information processing systems"}],"event":{"name":"ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","start":{"date-parts":[[2019,5,12]]},"location":"Brighton, United Kingdom","end":{"date-parts":[[2019,5,17]]}},"container-title":["ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8671773\/8682151\/08682848.pdf?arnumber=8682848","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,9,15]],"date-time":"2023-09-15T21:06:44Z","timestamp":1694812004000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8682848\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,5]]},"references-count":17,"URL":"https:\/\/doi.org\/10.1109\/icassp.2019.8682848","relation":{},"subject":[],"published":{"date-parts":[[2019,5]]}}}