{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,6]],"date-time":"2026-02-06T05:54:34Z","timestamp":1770357274130,"version":"3.49.0"},"reference-count":29,"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\/icassp48485.2024.10446936","type":"proceedings-article","created":{"date-parts":[[2024,3,18]],"date-time":"2024-03-18T18:56:31Z","timestamp":1710788191000},"page":"5955-5959","source":"Crossref","is-referenced-by-count":3,"title":["G-SHARP: Globally Shared Kernel with Pruning for Efficient CNNs"],"prefix":"10.1109","author":[{"given":"Eunseop","family":"Shin","sequence":"first","affiliation":[{"name":"Kyunghee University,Department of Computer Science and Engineering,Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Incheon","family":"Cho","sequence":"additional","affiliation":[{"name":"Kyunghee University,Department of Computer Science and Engineering,Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Awais","family":"Muhammad","sequence":"additional","affiliation":[{"name":"Kyunghee University,Department of Computer Science and Engineering,Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"A F M","family":"Shahab Uddin","sequence":"additional","affiliation":[{"name":"Jashore University of Science and Technology,Department of Computer Science and Engineering,Bangladesh"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"YounHo","family":"Jang","sequence":"additional","affiliation":[{"name":"Kyunghee University,Department of Computer Science and Engineering,Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sung-Ho","family":"Bae","sequence":"additional","affiliation":[{"name":"Kyunghee University,Department of Computer Science and Engineering,Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1355"},{"key":"ref2","author":"Riquelme","year":"2021","journal-title":"Scaling vision with sparse mixture of experts"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr52688.2022.01179"},{"key":"ref4","article-title":"Deep compression: Compressing deep neural network with pruning, trained quantization and huffman coding","volume-title":"4th ICLR, 2016, San Juan, Puerto Rico, May 2-4, 2016, Conference Track Proceedings","author":"Han"},{"key":"ref5","article-title":"Learned step size quantization","author":"Esser","year":"2019","journal-title":"ICLR"},{"key":"ref6","first-page":"5863","article-title":"Penni: Pruned kernel sharing for efficient cnn inference","author":"Li","year":"2020","journal-title":"ICML."},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00804"},{"key":"ref8","article-title":"Structured convolutions for efficient neural network design","volume":"33","author":"Bhalgat","year":"2020","journal-title":"Advances in NeurIPS"},{"key":"ref9","author":"Wang","year":"2020","journal-title":"Acdc: Weight sharing in atom-coefficient decomposed convolution"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2022.3216291"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.5244\/C.28.88"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298809"},{"key":"ref13","author":"Kang","year":"2020","journal-title":"Learning deeply shared filter bases for efficient convnets"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00079"},{"key":"ref15","first-page":"arXiv","author":"Han","year":"2020","journal-title":"Rexnet: Diminishing representational bottleneck on convolutional neural network"},{"key":"ref16","article-title":"Speeding-up convolutional neural networks using fine-tuned cp-decomposition","volume-title":"3rd ICLR, ICLR 2015-Conference Track Proceedings","author":"Lebedev"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01461"},{"key":"ref18","article-title":"Learning implicitly recurrent cnns through parameter sharing","author":"Savarese","year":"2018","journal-title":"ICLR"},{"key":"ref19","author":"Howard","year":"2017","journal-title":"Mobilenets: Efficient convolutional neural networks for mobile vision applications"},{"key":"ref20","author":"Rohde","year":"2003","journal-title":"Linear algebra and matrices"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1502.03167"},{"issue":"11","key":"ref22","first-page":"5082","article-title":"Revisiting internal covariate shift for batch normalization","volume":"32","author":"Awais","year":"2020","journal-title":"IEEE TNNLS"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.155"},{"key":"ref24","article-title":"Fsnet: Compression of deep convolutional neural networks by filter summary","author":"Yang","year":"2019","journal-title":"ICLR"},{"key":"ref25","first-page":"1608","article-title":"Learning versatile filters for efficient convolutional neural networks","author":"Wang","year":"2018","journal-title":"Advances in NeurIPS"},{"key":"ref26","author":"Krizhevsky","year":"2009","journal-title":"Learning multiple layers of features from tiny images"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref28","article-title":"Provable benefit of orthogonal initialization in optimizing deep linear networks","author":"Hu","year":"2019","journal-title":"ICLR"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2502579"}],"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\/10446936.pdf?arnumber=10446936","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,2]],"date-time":"2024-08-02T04:39:55Z","timestamp":1722573595000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10446936\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,4,14]]},"references-count":29,"URL":"https:\/\/doi.org\/10.1109\/icassp48485.2024.10446936","relation":{},"subject":[],"published":{"date-parts":[[2024,4,14]]}}}