{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T13:54:29Z","timestamp":1730296469688,"version":"3.28.0"},"reference-count":22,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,11,2]],"date-time":"2022-11-02T00:00:00Z","timestamp":1667347200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,11,2]],"date-time":"2022-11-02T00:00:00Z","timestamp":1667347200000},"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":[[2022,11,2]]},"DOI":"10.1109\/sips55645.2022.9919253","type":"proceedings-article","created":{"date-parts":[[2022,11,3]],"date-time":"2022-11-03T18:55:20Z","timestamp":1667501720000},"page":"1-6","source":"Crossref","is-referenced-by-count":0,"title":["Leveraging Structured Pruning of Convolutional Neural Networks"],"prefix":"10.1109","author":[{"given":"Hugo","family":"Tessier","sequence":"first","affiliation":[{"name":"Stellantis, Vélizy-Villacoublay,France"}]},{"given":"Vincent","family":"Gripon","sequence":"additional","affiliation":[{"name":"IMT Atlantique, UMR CNRS 6285,Lab-STICC,Brest,France,F-29238"}]},{"given":"Mathieu","family":"Leonardon","sequence":"additional","affiliation":[{"name":"IMT Atlantique, UMR CNRS 6285,Lab-STICC,Brest,France,F-29238"}]},{"given":"Matthieu","family":"Arzel","sequence":"additional","affiliation":[{"name":"IMT Atlantique, UMR CNRS 6285,Lab-STICC,Brest,France,F-29238"}]},{"given":"David","family":"Bertrand","sequence":"additional","affiliation":[{"name":"Stellantis, Vélizy-Villacoublay,France"}]},{"given":"Thomas","family":"Hannagan","sequence":"additional","affiliation":[{"name":"Stellantis, Vélizy-Villacoublay,France"}]}],"member":"263","reference":[{"doi-asserted-by":"publisher","key":"ref1","DOI":"10.1109\/SiPS.2016.31"},{"doi-asserted-by":"publisher","key":"ref2","DOI":"10.1109\/CVPR.2016.350"},{"key":"ref3","article-title":"Binaryconnect: Training deep neural networks with binary weights during propagations","author":"Courbariaux","year":"2015","journal-title":"Advances in neural information processing systems"},{"key":"ref4","article-title":"Deep compression: Compressing deep neural networks with pruning, trained quantization and huffman coding","author":"Han","year":"2015","journal-title":"arXiv preprint"},{"key":"ref5","article-title":"Learning both weights and connections for efficient neural network","author":"Han","year":"2015","journal-title":"Advances in neural information processing systems"},{"doi-asserted-by":"publisher","key":"ref6","DOI":"10.1109\/CVPR.2016.90"},{"doi-asserted-by":"publisher","key":"ref7","DOI":"10.24963\/ijcai.2018\/309"},{"doi-asserted-by":"publisher","key":"ref8","DOI":"10.1109\/ICCV.2017.155"},{"issue":"7","key":"ref9","article-title":"Distilling the knowledge in a neural network","volume":"2","author":"Hinton","year":"2015","journal-title":"arXiv preprint"},{"key":"ref10","article-title":"Optimal brain damage","volume":"2","author":"LeCun","year":"1989","journal-title":"Advances in neural information processing systems"},{"key":"ref11","article-title":"Pruning filters for efficient convnets","author":"Li","year":"2016","journal-title":"arXiv preprint"},{"doi-asserted-by":"publisher","key":"ref12","DOI":"10.1109\/ICCV.2017.298"},{"doi-asserted-by":"publisher","key":"ref13","DOI":"10.1109\/tnnls.2021.3063265"},{"doi-asserted-by":"publisher","key":"ref14","DOI":"10.1038\/s41467-018-04316-3"},{"key":"ref15","article-title":"Pruning convolutional neural networks for resource efficient inference","author":"Molchanov","year":"2016","journal-title":"arXiv preprint"},{"doi-asserted-by":"publisher","key":"ref16","DOI":"10.1007\/978-3-319-24574-4_28"},{"doi-asserted-by":"publisher","key":"ref17","DOI":"10.1007\/s11263-015-0816-y"},{"doi-asserted-by":"publisher","key":"ref18","DOI":"10.23919\/IRS.2019.8768105"},{"key":"ref19","first-page":"6377","article-title":"Pruning neural networks without any data by iteratively conserving synaptic flow","volume":"33","author":"Tanaka","year":"2020","journal-title":"Advances in Neural Information Processing Systems"},{"doi-asserted-by":"publisher","key":"ref20","DOI":"10.3390\/jimaging8030064"},{"key":"ref21","article-title":"Learning structured sparsity in deep neural networks","volume":"29","author":"Wen","year":"2016","journal-title":"Advances in neural information processing systems"},{"key":"ref22","article-title":"Region mutual information loss for semantic segmentation","volume":"32","author":"Zhao","year":"2019","journal-title":"Advances in Neural Information Processing Systems"}],"event":{"name":"2022 IEEE Workshop on Signal Processing Systems (SiPS)","start":{"date-parts":[[2022,11,2]]},"location":"Rennes, France","end":{"date-parts":[[2022,11,4]]}},"container-title":["2022 IEEE Workshop on Signal Processing Systems (SiPS)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9919234\/9919202\/09919253.pdf?arnumber=9919253","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,24]],"date-time":"2024-01-24T01:10:26Z","timestamp":1706058626000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9919253\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,11,2]]},"references-count":22,"URL":"https:\/\/doi.org\/10.1109\/sips55645.2022.9919253","relation":{},"subject":[],"published":{"date-parts":[[2022,11,2]]}}}