{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,5]],"date-time":"2026-05-05T12:28:24Z","timestamp":1777984104943,"version":"3.51.4"},"reference-count":51,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"10","license":[{"start":{"date-parts":[[2021,10,1]],"date-time":"2021-10-01T00:00:00Z","timestamp":1633046400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,10,1]],"date-time":"2021-10-01T00:00:00Z","timestamp":1633046400000},"content-version":"am","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Circuits Syst. I"],"published-print":{"date-parts":[[2021,10]]},"DOI":"10.1109\/tcsi.2021.3097765","type":"journal-article","created":{"date-parts":[[2021,7,26]],"date-time":"2021-07-26T17:52:07Z","timestamp":1627321927000},"page":"4287-4298","source":"Crossref","is-referenced-by-count":2,"title":["A Smoothed LASSO-Based DNN Sparsification Technique"],"prefix":"10.1109","volume":"68","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6956-554X","authenticated-orcid":false,"given":"Basava Naga Girish","family":"Koneru","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9258-7317","authenticated-orcid":false,"given":"Nitin","family":"Chandrachoodan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7039-3821","authenticated-orcid":false,"given":"Vinita","family":"Vasudevan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2933032"},{"key":"ref38","article-title":"Pruning filters for efficient convnets","author":"li","year":"2017","journal-title":"Proc Int Conf Learn Represent (ICLR)"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2017.7953205"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.3390\/sym10100525"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2017.2713389"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2013.11.006"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2019.8683224"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2015.2477058"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2018.06.046"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2017.02.029"},{"key":"ref28","author":"goodfellow","year":"2016","journal-title":"Deep Learning"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ACSSC.1997.679090"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2890740"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/NCC.2016.7561090"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2017.2748585"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2011.2178477"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.1991.155287"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2012.04.013"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.14738\/tmlai.22.138"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.14569\/IJACSA.2013.040621"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1162\/089976602760805296"},{"key":"ref25","first-page":"585","article-title":"Smoothing regularizers for projective basis function networks","author":"moody","year":"1997","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0130140"},{"key":"ref51","first-page":"10","article-title":"Computing’s energy problem (and what we can do about it)","author":"horowitz","year":"2014","journal-title":"IEEE Int Solid-State Circuits Conf (ISSCC) Dig Tech Papers"},{"key":"ref10","first-page":"3288","article-title":"Convolutional neural networks applied to house numbers digit classification","author":"sermanet","year":"2012","journal-title":"Proc Int Conf Pattern Recognit (ICPR)"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.7873\/DATE.2015.0618"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2957203"},{"key":"ref12","article-title":"Deep compression: Compressing deep neural networks with pruning, trained quantization and Huffman coding","author":"han","year":"2016","journal-title":"Proc Int Conf Learn Represent (ICLR)"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/s10107-004-0552-5"},{"key":"ref14","first-page":"3180","article-title":"Net-Trim: Convex pruning of deep neural networks with performance guarantee","author":"aghasi","year":"2017","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref15","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2015","journal-title":"Proc Int Conf Learn Represent (ICLR)"},{"key":"ref16","author":"howard","year":"0","journal-title":"Imagenette"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-015-0816-y"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1989.1.1.143"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2012.2210243"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.155"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TCSII.2019.2908729"},{"key":"ref6","first-page":"1135","article-title":"Learning both weights and connections for efficient neural network","author":"han","year":"2015","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/2627369.2627613"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/MICRO.2018.00024"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2019.2893266"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2019.08.015"},{"key":"ref9","first-page":"2082","article-title":"Learning structured sparsity in deep neural networks","author":"wen","year":"2016","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1145\/3005348"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1145\/3387168.3387184"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/72.248452"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1145\/3410463.3414648"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3024992"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/JSTSP.2019.2961233"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1145\/3378184.3378224"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN48605.2020.9207588"}],"container-title":["IEEE Transactions on Circuits and Systems I: Regular Papers"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8919\/9551015\/09495940.pdf?arnumber=9495940","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,3,1]],"date-time":"2022-03-01T15:38:06Z","timestamp":1646149086000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9495940\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,10]]},"references-count":51,"journal-issue":{"issue":"10"},"URL":"https:\/\/doi.org\/10.1109\/tcsi.2021.3097765","relation":{"has-preprint":[{"id-type":"doi","id":"10.36227\/techrxiv.13488720.v2","asserted-by":"object"},{"id-type":"doi","id":"10.36227\/techrxiv.13488720.v1","asserted-by":"object"},{"id-type":"doi","id":"10.36227\/techrxiv.13488720","asserted-by":"object"}]},"ISSN":["1549-8328","1558-0806"],"issn-type":[{"value":"1549-8328","type":"print"},{"value":"1558-0806","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,10]]}}}