{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,8,29]],"date-time":"2024-08-29T21:09:28Z","timestamp":1724965768618},"reference-count":28,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,8,21]],"date-time":"2022-08-21T00:00:00Z","timestamp":1661040000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,8,21]],"date-time":"2022-08-21T00:00:00Z","timestamp":1661040000000},"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":[[2022,8,21]]},"DOI":"10.1109\/icpr56361.2022.9956644","type":"proceedings-article","created":{"date-parts":[[2022,11,29]],"date-time":"2022-11-29T19:34:13Z","timestamp":1669750453000},"source":"Crossref","is-referenced-by-count":2,"title":["Automatic Pruning Rate Derivation for Structured Pruning of Deep Neural Networks"],"prefix":"10.1109","author":[{"given":"Yasufumi","family":"Sakai","sequence":"first","affiliation":[{"name":"Fujitsu Limited,Fujitsu Research,Kawasaki,Japan"}]},{"given":"Akinori","family":"Iwakawa","sequence":"additional","affiliation":[{"name":"Fujitsu Limited,Fujitsu Research,Kawasaki,Japan"}]},{"given":"Tsuguchika","family":"Tabaru","sequence":"additional","affiliation":[{"name":"Fujitsu Limited,Fujitsu Research,Kawasaki,Japan"}]},{"given":"Atsuki","family":"Inoue","sequence":"additional","affiliation":[{"name":"Kobe University,Graduate School of Science, Technology and Innovation,Kobe,Japan"}]},{"given":"Hiroshi","family":"Kawaguchi","sequence":"additional","affiliation":[{"name":"Kobe University,Graduate School of Science, Technology and Innovation,Kobe,Japan"}]}],"member":"263","reference":[{"key":"ref10","first-page":"770","article-title":"Deep residual learning for image recognition","author":"he","year":"2015","journal-title":"Proc IEEE Conf Comput Vision Pattern Recognit"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.298"},{"key":"ref12","article-title":"What is the state of neural network pruning?","author":"blalock","year":"2020"},{"key":"ref13","article-title":"The lottery ticket hypothesis: Finding sparse, trainable neural networks","author":"frankle","year":"2018"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/525"},{"key":"ref15","article-title":"Neuron merging: Compensating for pruned neurons","author":"kim","year":"2020"},{"key":"ref16","year":"0"},{"key":"ref17","year":"0"},{"key":"ref18","article-title":"SCOP: Scientific control for reliable neural network pruning","author":"tang","year":"2020"},{"key":"ref19","first-page":"883","article-title":"Discrimination-aware channel pruning for deep neural networks","author":"zhuang","year":"2018","journal-title":"Advances in Neural Information Processing System"},{"key":"ref28","article-title":"BERT: Pre-training of deep bidirectional transformers for language understanding","author":"devlin","year":"2018"},{"key":"ref4","article-title":"Pruning filters for efficient convnets","author":"li","year":"2016"},{"key":"ref27","first-page":"5998","article-title":"Attention is all you need","author":"vaswani","year":"2017","journal-title":"Advances in Neural Information Processing System"},{"key":"ref3","article-title":"Deep compression: Compressing deep neural networks with pruning, trained quantization and huffman coding","author":"han","year":"2015"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.155"},{"key":"ref5","article-title":"Pruning at a glance: Global neural pruning for model compression","author":"salama","year":"2019"},{"key":"ref8","article-title":"Learning multiple layers of features from tiny images","author":"krizhevsky","year":"2009"},{"key":"ref7","article-title":"SNIP: Single-shot network pruning based on connection sensitivity","author":"lee","year":"2018"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref1","first-page":"1097","article-title":"Imagenet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Advances in Neural Information Processing System"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/309"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00958"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00447"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00290"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00160"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01152"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.541"}],"event":{"name":"2022 26th International Conference on Pattern Recognition (ICPR)","location":"Montreal, QC, Canada","start":{"date-parts":[[2022,8,21]]},"end":{"date-parts":[[2022,8,25]]}},"container-title":["2022 26th International Conference on Pattern Recognition (ICPR)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9956007\/9955631\/09956644.pdf?arnumber=9956644","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,19]],"date-time":"2022-12-19T20:07:00Z","timestamp":1671480420000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9956644\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,8,21]]},"references-count":28,"URL":"https:\/\/doi.org\/10.1109\/icpr56361.2022.9956644","relation":{},"subject":[],"published":{"date-parts":[[2022,8,21]]}}}