{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,28]],"date-time":"2026-02-28T18:36:43Z","timestamp":1772303803233,"version":"3.50.1"},"reference-count":21,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,4,14]],"date-time":"2024-04-14T00:00:00Z","timestamp":1713052800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,4,14]],"date-time":"2024-04-14T00:00:00Z","timestamp":1713052800000},"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":[[2024,4,14]]},"DOI":"10.1109\/icassp48485.2024.10448499","type":"proceedings-article","created":{"date-parts":[[2024,3,18]],"date-time":"2024-03-18T18:56:31Z","timestamp":1710788191000},"page":"5070-5074","source":"Crossref","is-referenced-by-count":1,"title":["Boosting Pruned Networks with Linear Over-Parameterization"],"prefix":"10.1109","author":[{"given":"Yu","family":"Qian","sequence":"first","affiliation":[{"name":"Peking University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaoshuang","family":"Li","sequence":"additional","affiliation":[{"name":"Shanghai Jiao Tong University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jian","family":"Cao","sequence":"additional","affiliation":[{"name":"Peking University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jie","family":"Zhang","sequence":"additional","affiliation":[{"name":"Zhejiang University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hufei","family":"Li","sequence":"additional","affiliation":[{"name":"Peking University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jue","family":"Chen","sequence":"additional","affiliation":[{"name":"Peking University"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00915"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2021.07.045"},{"key":"ref3","first-page":"10717","article-title":"Accelerate cnns from three dimensions: A comprehensive pruning framework","volume-title":"International Conference on Machine Learning","author":"Wang"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00958"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00508"},{"key":"ref6","article-title":"Pruning filters for efficient convnets","author":"Li","year":"2016"},{"key":"ref7","article-title":"Learning to prune deep neural networks via layer-wise optimal brain surgeon","volume-title":"Advances in Neural Information Processing Systems","volume":"30","author":"Dong"},{"key":"ref8","article-title":"A signal propagation perspective for pruning neural networks at initialization","author":"Lee","year":"2019"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.155"},{"key":"ref10","article-title":"To prune, or not to prune: exploring the efficacy of pruning for model compression","author":"Zhu","year":"2017"},{"key":"ref11","article-title":"Expandnets: Linear over-parameterization to train compact convolutional networks","author":"Guo","year":"2018"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01352"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00145"},{"key":"ref14","article-title":"DENSE: Data-free one-shot federated learning","volume-title":"Advances in Neural Information Processing Systems","author":"Zhang","year":"2022"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.amc.2006.07.076"},{"key":"ref16","article-title":"Learning multiple layers of features from tiny images","author":"Krizhevsky","year":"2009","journal-title":"Tech. Rep"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01234-2_48"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00160"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.541"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58536-5_38"}],"event":{"name":"ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","location":"Seoul, Korea, Republic of","start":{"date-parts":[[2024,4,14]]},"end":{"date-parts":[[2024,4,19]]}},"container-title":["ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10445798\/10445803\/10448499.pdf?arnumber=10448499","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,3]],"date-time":"2024-08-03T04:54:50Z","timestamp":1722660890000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10448499\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,4,14]]},"references-count":21,"URL":"https:\/\/doi.org\/10.1109\/icassp48485.2024.10448499","relation":{},"subject":[],"published":{"date-parts":[[2024,4,14]]}}}