{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T07:47:21Z","timestamp":1730274441575,"version":"3.28.0"},"reference-count":26,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,6,20]],"date-time":"2021-06-20T00:00:00Z","timestamp":1624147200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,6,20]],"date-time":"2021-06-20T00:00:00Z","timestamp":1624147200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,6,20]],"date-time":"2021-06-20T00:00:00Z","timestamp":1624147200000},"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":[[2021,6,20]]},"DOI":"10.1109\/isie45552.2021.9576374","type":"proceedings-article","created":{"date-parts":[[2021,11,1]],"date-time":"2021-11-01T16:55:52Z","timestamp":1635785752000},"page":"1-6","source":"Crossref","is-referenced-by-count":1,"title":["Residual Knowledge Retention For Edge Devices"],"prefix":"10.1109","author":[{"given":"Cheng-Fu","family":"Liou","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Paul","family":"Kuo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiun-In","family":"Guo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","first-page":"2990","article-title":"Continual learning with deep generative replay","author":"shin","year":"2017","journal-title":"Advances in Neural Information Processing System (NIPS)"},{"key":"ref11","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2015","journal-title":"ICLRE"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-015-0816-y"},{"key":"ref13","article-title":"Dying relu and initialization: Theory and numerical examples","author":"lu","year":"2019","journal-title":"ArXiv Preprint"},{"key":"ref14","article-title":"Mobilenets: Efficient convolutional neural networks for mobile vision applications","author":"howard","year":"2017","journal-title":"ArXiv Preprint"},{"key":"ref15","article-title":"Dying relu and initialization: Theory and numerical examples","author":"lu","year":"2019","journal-title":"ArXiv Preprint"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.634"},{"key":"ref17","article-title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift","author":"ioffe","year":"0","journal-title":"Proc of the International Conference on Machine Learning (ICML)"},{"key":"ref18","first-page":"4652","article-title":"Overcoming catastrophic forgetting by incremental moment matching","author":"lee","year":"2017","journal-title":"Advances in neural information processing systems"},{"journal-title":"Learning multiple layers of features from tiny images","year":"2009","author":"krizhevsky","key":"ref19"},{"key":"ref4","first-page":"3987","article-title":"Improved multitask learning through synaptic intelligence","author":"zenke","year":"0","journal-title":"Proc of the Int Conf on Machine Learning (ICML)"},{"key":"ref3"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2773081"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1611835114"},{"key":"ref8","article-title":"Overcoming catastrophic forgetting with hard attention to the task","author":"serra","year":"0","journal-title":"International Conference on Machine Learning (ICML)"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref2","doi-asserted-by":"crossref","first-page":"41","DOI":"10.1023\/A:1007379606734","article-title":"Multitask learning","volume":"28","author":"caruana","year":"1997","journal-title":"Machine Learning"},{"key":"ref9","first-page":"6467","article-title":"Gradient episodic memory for continual learning","author":"lopez-paz","year":"2017","journal-title":"Advances in Neural Information Processing Systems (NIPS)"},{"key":"ref1","first-page":"83","article-title":"Task clustering and gating for bayesian multitask learning","volume":"4","author":"bakker","year":"2003","journal-title":"Journal of Machine Learning Research"},{"key":"ref20","article-title":"Reading digits in natural images with unsupervised feature learning","author":"netzer","year":"0","journal-title":"NIPS Workshop on Deep Learning and Unsupervised Feature Learning (NIPSDeepLearning)"},{"key":"ref22","article-title":"Fashion-MNIST: a novel image dataset for benchmarking machine learning algorithms","volume":"1708 7747","author":"xiao","year":"2017","journal-title":"ArXiv"},{"key":"ref21","doi-asserted-by":"crossref","first-page":"2278","DOI":"10.1109\/5.726791","article-title":"Gradientbased learning applied to document recognition","volume":"86","author":"lecun","year":"0","journal-title":"Proceedings of the IEEE"},{"key":"ref24","article-title":"Shufflenet: An extremely efficient convolutional neural network for mobile devices","volume":"abs 1707 1083","author":"zhang","year":"2017","journal-title":"CoRR"},{"key":"ref23","article-title":"Mobilenetv 2: Inverted residuals and linear bottlenecks","author":"sandler","year":"2018","journal-title":"CVPR"},{"key":"ref26","article-title":"Lifelong learning with dynamically expandable networks","author":"yoon","year":"0","journal-title":"International Conference on Learning Representations (ICLR)"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46493-0_39"}],"event":{"name":"2021 IEEE 30th International Symposium on Industrial Electronics (ISIE)","start":{"date-parts":[[2021,6,20]]},"location":"Kyoto, Japan","end":{"date-parts":[[2021,6,23]]}},"container-title":["2021 IEEE 30th International Symposium on Industrial Electronics (ISIE)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9575168\/9576159\/09576374.pdf?arnumber=9576374","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T11:47:40Z","timestamp":1652183260000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9576374\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,6,20]]},"references-count":26,"URL":"https:\/\/doi.org\/10.1109\/isie45552.2021.9576374","relation":{},"subject":[],"published":{"date-parts":[[2021,6,20]]}}}