{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,25]],"date-time":"2026-08-25T22:54:09Z","timestamp":1787698449471,"version":"build-2784847793"},"reference-count":45,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"1","license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100003725","name":"National Research Foundation of Korea","doi-asserted-by":"publisher","award":["2022R1A2C200632112"],"award-info":[{"award-number":["2022R1A2C200632112"]}],"id":[{"id":"10.13039\/501100003725","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Comput."],"published-print":{"date-parts":[[2024,1]]},"DOI":"10.1109\/tc.2023.3315051","type":"journal-article","created":{"date-parts":[[2023,9,14]],"date-time":"2023-09-14T17:46:52Z","timestamp":1694713612000},"page":"249-262","source":"Crossref","is-referenced-by-count":7,"title":["Zero and Narrow-Width Value-Aware Compression for Quantized Convolutional Neural Networks"],"prefix":"10.1109","volume":"73","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8408-3576","authenticated-orcid":false,"given":"Myeongjae","family":"Jang","sequence":"first","affiliation":[{"name":"School of Computing, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1744-1393","authenticated-orcid":false,"given":"Jinkwon","family":"Kim","sequence":"additional","affiliation":[{"name":"School of Computing, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-9234-4300","authenticated-orcid":false,"given":"Haejin","family":"Nam","sequence":"additional","affiliation":[{"name":"School of Computing, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5106-8409","authenticated-orcid":false,"given":"Soontae","family":"Kim","sequence":"additional","affiliation":[{"name":"School of Computing, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ISSCC42614.2022.9731639"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jssc.2017.06.006"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/JETCAS.2019.2910232"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/3007787.3001163"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.23919\/DATE.2017.7927224"},{"issue":"1","key":"ref6","first-page":"6869","article-title":"Quantized neural networks: Training neural networks with low precision weights and activations","volume":"18","author":"Hubara","year":"2017","journal-title":"J. Mach. Learn. Res."},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ISQED54688.2022.9806203"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/JSSC.2020.3045369"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/3370748.3406576"},{"key":"ref10","article-title":"Learning both weights and connections for efficient neural networks","author":"Han","year":"2015"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ISCA.2018.00063"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01225-0_36"},{"key":"ref13","article-title":"A high-performance adaptive quantization approach for edge CNN applications","author":"Chin","year":"2021"},{"key":"ref14","first-page":"16305","article-title":"Rethinking the pruning criteria for convolutional neural network","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"34","author":"Huang","year":"2021"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4471-2063-6_214"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TC.2020.3010062"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/HPCA53966.2022.00084"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/3243176.3243182"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICCD.2012.6378699"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/2155620.2155670"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.23919\/DATE54114.2022.9774545"},{"key":"ref22","article-title":"Frequent pattern compression: A significance-based compression scheme for L2 caches","author":"Alameldeen","year":"2004"},{"key":"ref23","article-title":"A white paper on neural network quantization","author":"Nagel","year":"2021"},{"key":"ref24","article-title":"Yolov3: An incremental improvement","author":"Redmon","year":"2018"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/EMC2-NIPS53020.2019.00020"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/icassp49357.2023.10094626"},{"issue":"1","key":"ref27","first-page":"1","article-title":"Lower numerical precision deep learning inference and training","volume":"3","author":"Rodriguez","year":"2018","journal-title":"Intel White Paper"},{"issue":"4","key":"ref28","first-page":"5","article-title":"8-bit inference with TensorRT","volume-title":"Proc. GPU Technol. Conf.","volume":"2","author":"Migacz","year":"2017"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/BF02289464"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/VTS.2001.923416"},{"key":"ref31","article-title":"MobileNets: Efficient convolutional neural networks for mobile vision applications","author":"Howard","year":"2017"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1049\/cp:20080685"},{"key":"ref33","article-title":"Tensorflow,","year":"2021"},{"key":"ref34","article-title":"Learning multiple layers of features from tiny images","author":"Krizhevsky","year":"2009"},{"key":"ref35","article-title":"Darknet: Open source neural networks in C","author":"Redmon","year":"2013"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10602-1_48"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1145\/3296957.3173176"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/IISWC53511.2021.00028"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/LCA.2020.2973991"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1145\/3297858.3304025"},{"key":"ref41","first-page":"28","article-title":"Cacti 6.0: A tool to model large caches","volume":"27","author":"Muralimanohar","year":"2009","journal-title":"HP Lab."},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/ICCAD45719.2019.8942149"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1145\/2228360.2228584"},{"key":"ref44","volume-title":"Logic Synthesis Using Synopsys\u00ae","author":"Kurup","year":"2012"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/ISCA45697.2020.00045"}],"container-title":["IEEE Transactions on Computers"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/12\/10372122\/10251678.pdf?arnumber=10251678","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,12]],"date-time":"2024-01-12T03:31:20Z","timestamp":1705030280000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10251678\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,1]]},"references-count":45,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.1109\/tc.2023.3315051","relation":{},"ISSN":["0018-9340","1557-9956","2326-3814"],"issn-type":[{"value":"0018-9340","type":"print"},{"value":"1557-9956","type":"electronic"},{"value":"2326-3814","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,1]]}}}