{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,30]],"date-time":"2025-05-30T13:48:20Z","timestamp":1748612900870},"reference-count":27,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,10,16]],"date-time":"2022-10-16T00:00:00Z","timestamp":1665878400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,10,16]],"date-time":"2022-10-16T00:00:00Z","timestamp":1665878400000},"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":[[2022,10,16]]},"DOI":"10.1109\/icip46576.2022.9897812","type":"proceedings-article","created":{"date-parts":[[2022,11,3]],"date-time":"2022-11-03T17:27:24Z","timestamp":1667496444000},"page":"1121-1125","source":"Crossref","is-referenced-by-count":1,"title":["Convex Quadratic Programming for Slimming Convolutional Networks"],"prefix":"10.1109","author":[{"given":"Julien","family":"Mille","sequence":"first","affiliation":[{"name":"INSA Centre Val de Loire Laboratoire d&#x2019;Informatique Fondamentale et Appliqu&#x00E9;e de Tours (EA6300),Blois,France,F-41034"}]}],"member":"263","reference":[{"key":"ref1","article-title":"Optimal brain damage","author":"LeCun","year":"1989","journal-title":"NIPS"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ICNN.1993.298572"},{"key":"ref3","first-page":"2755","article-title":"Rethinking the value of network pruning","author":"Liu","year":"2019","journal-title":"ICLR"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.5244\/C.28.88"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00447"},{"key":"ref6","first-page":"1135","article-title":"Learning both weights and connections for efficient neural network","author":"Han","year":"2015","journal-title":"NIPS"},{"key":"ref7","article-title":"Pruning filters for efficient ConvNets","author":"Li","year":"2017","journal-title":"ICLR"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.155"},{"key":"ref9","article-title":"Pruning convolutional neural networks for resource efficient inference","author":"Molchanov","year":"2017","journal-title":"ICLR"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.298"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2858232"},{"key":"ref12","article-title":"Rethinking the smaller-norm-less-informative assumption in channel pruning of convolution layers","author":"Ye","year":"2018","journal-title":"ICLR"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01152"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/318"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1111\/j.2517-6161.1996.tb02080.x"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1137\/080716542"},{"key":"ref17","first-page":"448","article-title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift","author":"Ioffe","year":"2015","journal-title":"ICML"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/S0167-5060(08)70343-1"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.orl.2015.12.014"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/s11590-017-1132-y"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4419-9569-8_10"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/s11590-018-1272-8"},{"key":"ref23","article-title":"Very deep convolutional networks for large-scale image recognition","author":"Simonyan","year":"2015","journal-title":"ICLR"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-015-0816-y"},{"key":"ref25","article-title":"What is the state of neural network pruning?","author":"Blalock","year":"2020","journal-title":"MLSys"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"}],"event":{"name":"2022 IEEE International Conference on Image Processing (ICIP)","start":{"date-parts":[[2022,10,16]]},"location":"Bordeaux, France","end":{"date-parts":[[2022,10,19]]}},"container-title":["2022 IEEE International Conference on Image Processing (ICIP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9897158\/9897159\/09897812.pdf?arnumber=9897812","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,22]],"date-time":"2024-01-22T16:03:20Z","timestamp":1705939400000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9897812\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,10,16]]},"references-count":27,"URL":"https:\/\/doi.org\/10.1109\/icip46576.2022.9897812","relation":{},"subject":[],"published":{"date-parts":[[2022,10,16]]}}}