{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T21:56:39Z","timestamp":1775080599573,"version":"3.50.1"},"reference-count":46,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"2","license":[{"start":{"date-parts":[[2021,2,1]],"date-time":"2021-02-01T00:00:00Z","timestamp":1612137600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,2,1]],"date-time":"2021-02-01T00:00:00Z","timestamp":1612137600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,2,1]],"date-time":"2021-02-01T00:00:00Z","timestamp":1612137600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Strategic Priority Research Program of the Chinese Academy of Sciences","award":["XDA19080102"],"award-info":[{"award-number":["XDA19080102"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Visual. Comput. Graphics"],"published-print":{"date-parts":[[2021,2]]},"DOI":"10.1109\/tvcg.2020.3030461","type":"journal-article","created":{"date-parts":[[2020,10,13]],"date-time":"2020-10-13T19:37:00Z","timestamp":1602617820000},"page":"1364-1373","source":"Crossref","is-referenced-by-count":43,"title":["<i>CNN<\/i>Pruner: Pruning Convolutional Neural Networks with Visual Analytics"],"prefix":"10.1109","volume":"27","author":[{"given":"Guan","family":"Li","sequence":"first","affiliation":[]},{"given":"Junpeng","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Han-Wei","family":"Shen","sequence":"additional","affiliation":[]},{"given":"Kaixin","family":"Chen","sequence":"additional","affiliation":[]},{"given":"Guihua","family":"Shan","sequence":"additional","affiliation":[]},{"given":"Zhonghua","family":"Lu","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","first-page":"2579","article-title":"Visualizing data using t-sne","volume":"9","author":"van der maaten","year":"2008","journal-title":"Journal of Machine Learning Research"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00821"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2016.2598828"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2017.2744358"},{"key":"ref31","article-title":"Pruning convolutional neural networks for resource efficient inference","author":"molchanov","year":"2017","journal-title":"International Conference of Learning Representations (ICLR) 2017"},{"key":"ref30","doi-asserted-by":"crossref","first-page":"529","DOI":"10.1038\/nature14236","volume":"518","author":"mnih","year":"2015","journal-title":"Nature"},{"key":"ref37","article-title":"Convolutional neural networks with low-rank regularization","author":"tai","year":"2016","journal-title":"International Conference in Learning Representations 2016"},{"key":"ref36","article-title":"Striving for simplicity: The all convolutional net","author":"springenberg","year":"2014","journal-title":"ICLR (workshop track)"},{"key":"ref35","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2015","journal-title":"International Conference on Learning Representations ICLR 2015"},{"key":"ref34","doi-asserted-by":"crossref","first-page":"437","DOI":"10.21437\/Interspeech.2011-169","article-title":"Conversational speech transcription using context-dependent deep neural networks","author":"seide","year":"2011","journal-title":"InterSpeech"},{"key":"ref10","article-title":"The lottery ticket hypothesis: Finding sparse, trainable neural networks","author":"frankle","year":"2019","journal-title":"7th International Conference on Learning Representations ICLR 2019"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2018.2864504"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.81"},{"key":"ref12","first-page":"2672","article-title":"Generative adversarial nets","author":"goodfellow","year":"2014","journal-title":"Advances in Neural Information Processing Systems 2"},{"key":"ref13","first-page":"1387","article-title":"Dynamic network surgery for efficient dnns","author":"guo","year":"0","journal-title":"NIPS'16 Proceedings of the 30th International Conference on Neural Information Processing Systems"},{"key":"ref14","article-title":"Deep compression: Compressing deep neural networks with pruning, trained quantization and huffman coding","author":"han","year":"2016","journal-title":"International Conference in Learning Representations 2016"},{"key":"ref15","first-page":"1135","article-title":"Learning both weights and connections for efficient neural networks","author":"han","year":"0","journal-title":"NIPS'15 Proceedings of the 28th International Conference on Neural Information Processing Systems"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/309"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00447"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.155"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2018.2864500"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.541"},{"key":"ref4","first-page":"2020","year":"0","journal-title":"PyTorch"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.298"},{"key":"ref3","first-page":"2020","year":"0","journal-title":"Flask"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00890"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2018.2864812"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2017.2744683"},{"key":"ref8","first-page":"4857","article-title":"Learning to prune deep neural networks via layer-wise optimal brain surgeon","author":"dong","year":"2017","journal-title":"Advances in neural information processing systems"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/MCG.2018.042731661"},{"key":"ref2","first-page":"2020","year":"0","journal-title":"Dataset scene classification dataset"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01234-2_28"},{"key":"ref1","first-page":"2020","year":"0","journal-title":"Dataset Dogs vs Cats"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2502579"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/3065386"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2018.2864499"},{"key":"ref22","first-page":"306","article-title":"Gradient-based learning applied to document recognition","author":"lecun","year":"2001","journal-title":"Intelligent Signal Processing"},{"key":"ref21","doi-asserted-by":"crossref","first-page":"436","DOI":"10.1038\/nature14539","article-title":"Deep learning","volume":"521","author":"lecun","year":"2015","journal-title":"Nature"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2019.2903943"},{"key":"ref24","article-title":"Pruning filters for efficient convnets","author":"li","year":"2017","journal-title":"International Conference of Learning Representations (ICLR) 2017"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2018.2816223"},{"key":"ref23","first-page":"598","article-title":"Optimal brain damage","author":"lecun","year":"1990","journal-title":"Advances in neural information processing systems"},{"key":"ref44","doi-asserted-by":"crossref","DOI":"10.1007\/s41095-020-0191-7","article-title":"A survey of visual analytics techniques for machine learning","volume":"7","author":"yuan","year":"2021","journal-title":"Computational Visual Media"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2016.2598831"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00958"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2017.2744938"}],"container-title":["IEEE Transactions on Visualization and Computer Graphics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/2945\/9340023\/09222510.pdf?arnumber=9222510","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,11,23]],"date-time":"2022-11-23T04:23:03Z","timestamp":1669177383000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9222510\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,2]]},"references-count":46,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/tvcg.2020.3030461","relation":{},"ISSN":["1077-2626","1941-0506","2160-9306"],"issn-type":[{"value":"1077-2626","type":"print"},{"value":"1941-0506","type":"electronic"},{"value":"2160-9306","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,2]]}}}