{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,31]],"date-time":"2025-08-31T23:26:59Z","timestamp":1756682819846},"reference-count":23,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,3,1]],"date-time":"2020-03-01T00:00:00Z","timestamp":1583020800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,3,1]],"date-time":"2020-03-01T00:00:00Z","timestamp":1583020800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,3,1]],"date-time":"2020-03-01T00:00:00Z","timestamp":1583020800000},"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":[[2020,3]]},"DOI":"10.1109\/wacv45572.2020.9093318","type":"proceedings-article","created":{"date-parts":[[2020,5,15]],"date-time":"2020-05-15T03:41:09Z","timestamp":1589514069000},"page":"903-911","source":"Crossref","is-referenced-by-count":7,"title":["Is Pruning Compression?: Investigating Pruning Via Network Layer Similarity"],"prefix":"10.1109","author":[{"given":"Cody","family":"Blakeney","sequence":"first","affiliation":[]},{"given":"Yan","family":"Yan","sequence":"additional","affiliation":[]},{"given":"Ziliang","family":"Zong","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","article-title":"Optimal brain damage","author":"lecun","year":"1990","journal-title":"NIPS"},{"key":"ref11","article-title":"Rethinking the value of network pruning","author":"liu","year":"2019","journal-title":"International Conference on Learning Representations"},{"key":"ref12","article-title":"Diversity networks","author":"mariet","year":"2016","journal-title":"ICLRE"},{"article-title":"Exploring sparsity in recurrent neural networks","year":"2017","author":"narang","key":"ref13"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2015.2494536"},{"key":"ref15","first-page":"6076","article-title":"Svcca: Singular vector canonical correlation analysis for deep learning dynamics and interpretability","author":"raghu","year":"2017","journal-title":"NIPS"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2013.355"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/K16-1029"},{"key":"ref18","article-title":"Understanding and improving convolutional neural networks via concatenated rectified linear units","author":"shang","year":"2016","journal-title":"ICML"},{"article-title":"Very deep convolutional networks for large-scale image recognition","year":"2014","author":"simonyan","key":"ref19"},{"key":"ref4","article-title":"The lottery ticket hypothesis: Finding sparse, trainable neural networks","author":"frankle","year":"2019","journal-title":"International Conference on Learning Representations"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2017.2765695"},{"key":"ref6","article-title":"Deep residual learning for image recognition","author":"he","year":"2015","journal-title":"CVPR"},{"key":"ref5","article-title":"Learning both weights and connections for efficient neural networks","author":"han","year":"2015","journal-title":"NIPS"},{"key":"ref8","article-title":"Imagenet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"NIPS"},{"key":"ref7","article-title":"Speeding up convolitional neural networks with low rank expansions","author":"jaderberg","year":"2014","journal-title":"BMVC"},{"key":"ref2","article-title":"Compressing neural networks with the hashing trick","author":"chen","year":"2015","journal-title":"JMLR Workshops"},{"article-title":"Structured pruning of deep convolutional neural networks","year":"2015","author":"anwar","key":"ref1"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.280"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"ref22","article-title":"Doubly convolutional neural networks","author":"zhai","year":"2016","journal-title":"NIPS"},{"article-title":"Convolutional neural networks with low-rank regularization","year":"2015","author":"tai","key":"ref21"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46493-0_40"}],"event":{"name":"2020 IEEE Winter Conference on Applications of Computer Vision (WACV)","start":{"date-parts":[[2020,3,1]]},"location":"Snowmass Village, CO, USA","end":{"date-parts":[[2020,3,5]]}},"container-title":["2020 IEEE Winter Conference on Applications of Computer Vision (WACV)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9087828\/9093261\/09093318.pdf?arnumber=9093318","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,30]],"date-time":"2022-06-30T15:13:46Z","timestamp":1656602026000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9093318\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,3]]},"references-count":23,"URL":"https:\/\/doi.org\/10.1109\/wacv45572.2020.9093318","relation":{},"subject":[],"published":{"date-parts":[[2020,3]]}}}