{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,30]],"date-time":"2025-12-30T08:50:56Z","timestamp":1767084656207,"version":"3.28.0"},"reference-count":52,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,7,18]],"date-time":"2021-07-18T00:00:00Z","timestamp":1626566400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,7,18]],"date-time":"2021-07-18T00:00:00Z","timestamp":1626566400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,7,18]],"date-time":"2021-07-18T00:00:00Z","timestamp":1626566400000},"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":[[2021,7,18]]},"DOI":"10.1109\/ijcnn52387.2021.9534079","type":"proceedings-article","created":{"date-parts":[[2021,9,20]],"date-time":"2021-09-20T17:27:41Z","timestamp":1632158861000},"page":"1-8","source":"Crossref","is-referenced-by-count":3,"title":["Evolutionary NAS in Light of Model Stability for Accurate Continual Learning"],"prefix":"10.1109","author":[{"given":"Xiaocong","family":"Du","sequence":"first","affiliation":[]},{"given":"Zheng","family":"Li","sequence":"additional","affiliation":[]},{"given":"Jingbo","family":"Sun","sequence":"additional","affiliation":[]},{"given":"Frank","family":"Liu","sequence":"additional","affiliation":[]},{"given":"Yu","family":"Cao","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00186"},{"key":"ref38","article-title":"The evolved transformer","author":"so","year":"2019","journal-title":"ArXiv Preprint"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00907"},{"key":"ref32","article-title":"Neural optimizer search with reinforcement learning","author":"bello","year":"2017","journal-title":"ArXiv Preprint"},{"journal-title":"Neural architecture search with reinforcement learning","year":"2017","author":"zoph","key":"ref31"},{"key":"ref30","first-page":"550","article-title":"Under-standing and simplifying one-shot architecture search","author":"bender","year":"0","journal-title":"International Conference on Machine Learning"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33014780"},{"key":"ref36","article-title":"Efficient multi-objective neural architecture search via lamarckian evolution","author":"elsken","year":"2018","journal-title":"ArXiv Preprint"},{"key":"ref35","article-title":"Hierarchical representations for efficient architecture search","author":"liu","year":"2017","journal-title":"ArXiv Preprint"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00934"},{"key":"ref28","article-title":"Smash: one-shot model architecture search through hypernetworks","author":"brock","year":"2017","journal-title":"ArXiv Preprint"},{"key":"ref27","first-page":"7816","article-title":"Neural architecture optimization","author":"luo","year":"2018","journal-title":"Advances in neural information processing systems"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01099"},{"key":"ref2","doi-asserted-by":"crossref","first-page":"6645","DOI":"10.1109\/ICASSP.2013.6638947","article-title":"Speech recognition with deep recurrent neural networks","author":"graves","year":"2013","journal-title":"2013 IEEE International Conference on Acoustics Speech and Signal Processing"},{"key":"ref1","first-page":"1097","article-title":"Imagenet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Advances in neural information processing systems"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2019.2919608"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01298"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00206"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00257"},{"key":"ref23","first-page":"481","article-title":"Single-path nas: Designing hardware-efficient convnets in less than 4 hours","author":"stamoulis","year":"2019","journal-title":"Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases"},{"key":"ref26","first-page":"6","article-title":"Differentiable neural architecture search in equivalent space with exploration enhancement","volume":"33","author":"zhang","year":"2020","journal-title":"Advances in neural information processing systems"},{"journal-title":"Differentiable neural network architecture search","year":"2018","author":"shin","key":"ref25"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"},{"key":"ref51","first-page":"6389","article-title":"Visualizing the loss landscape of neural nets","author":"li","year":"2018","journal-title":"Advances in neural information processing systems"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1162\/evco_a_00253"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.3389\/fpsyg.2013.00504"},{"key":"ref11","article-title":"Neural architecture search: A survey","author":"elsken","year":"2018","journal-title":"ArXiv Preprint"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.29007\/7ksb"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-019-11786-6"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1316909110"},{"journal-title":"Mind Children The Future of Robot and Human Intelligence","year":"1988","author":"moravec","key":"ref14"},{"key":"ref15","article-title":"Darts: Differentiable architecture search","author":"liu","year":"2018","journal-title":"ArXiv Preprint"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00572"},{"key":"ref17","first-page":"497","article-title":"A genetic programming approach to designing convolutional neural network architectures","author":"suganuma","year":"0","journal-title":"Proceedings of the Genetic and Evolutionary Computation Conference"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01201"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2019.2916183"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.542"},{"key":"ref3","first-page":"1295","article-title":"Gar: Graph assisted reasoning for object detection","author":"li","year":"0","journal-title":"The IEEE Winter Conference on Applications of Computer Vision"},{"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","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW50498.2020.00130"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.587"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref9","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":"0","journal-title":"Proceedings of the National Academy of Sciences"},{"journal-title":"Automatic differentiation in pytorch","year":"2017","author":"paszke","key":"ref46"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN48605.2020.9206904"},{"journal-title":"Learning multiple layers of features from tiny images","year":"2009","author":"krizhevsky","key":"ref48"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/ICMLA.2019.00267"},{"key":"ref42","article-title":"Towards robust evaluations of continual learning","author":"farquhar","year":"2018","journal-title":"ArXiv Preprint"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.29007\/rjb2"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2933947"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1007\/BF00175354"}],"event":{"name":"2021 International Joint Conference on Neural Networks (IJCNN)","start":{"date-parts":[[2021,7,18]]},"location":"Shenzhen, China","end":{"date-parts":[[2021,7,22]]}},"container-title":["2021 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9533266\/9533267\/09534079.pdf?arnumber=9534079","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T11:46:16Z","timestamp":1652183176000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9534079\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,7,18]]},"references-count":52,"URL":"https:\/\/doi.org\/10.1109\/ijcnn52387.2021.9534079","relation":{},"subject":[],"published":{"date-parts":[[2021,7,18]]}}}