{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,5]],"date-time":"2026-06-05T15:56:22Z","timestamp":1780674982189,"version":"3.54.1"},"reference-count":29,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,12,5]],"date-time":"2021-12-05T00:00:00Z","timestamp":1638662400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,12,5]],"date-time":"2021-12-05T00:00:00Z","timestamp":1638662400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,12,5]],"date-time":"2021-12-05T00:00:00Z","timestamp":1638662400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100016311","name":"Arm","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100016311","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100015257","name":"Northeastern University","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100015257","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000028","name":"Semiconductor Research Corporation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000028","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,12,5]]},"DOI":"10.1109\/dac18074.2021.9586163","type":"proceedings-article","created":{"date-parts":[[2021,11,8]],"date-time":"2021-11-08T23:30:34Z","timestamp":1636414234000},"page":"835-840","source":"Crossref","is-referenced-by-count":17,"title":["Neural Pruning Search for Real-Time Object Detection of Autonomous Vehicles"],"prefix":"10.1109","author":[{"given":"Pu","family":"Zhao","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Geng","family":"Yuan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuxuan","family":"Cai","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wei","family":"Niu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qi","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wujie","family":"Wen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bin","family":"Ren","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yanzhi","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xue","family":"Lin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i04.5924"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i04.5954"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/3373376.3378534"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/DAC18072.2020.9218499"},{"key":"ref14","article-title":"Neural architecture search with reinforcement learning","author":"zoph","year":"2017","journal-title":"ICLRE"},{"key":"ref15","article-title":"Darts: Differentiable architecture search","author":"liu","year":"2018","journal-title":"arXiv preprint arXiv 1806 09055"},{"key":"ref16","first-page":"578","article-title":"Tvm: An automated end-to-end optimizing compiler for deep learning","author":"chen","year":"2018","journal-title":"USENIX"},{"key":"ref17","year":"0"},{"key":"ref18","article-title":"Exploring the regularity of sparse structure in convolutional neural networks","author":"mao","year":"2017","journal-title":"arXiv 1705 08922"},{"key":"ref19","year":"0"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2012.6248074"},{"key":"ref4","first-page":"1379","article-title":"Dynamic network surgery for efficient dnns","author":"guo","year":"2016","journal-title":"NeurIPS"},{"key":"ref27","article-title":"Microsoft coco: Common objects in context","author":"lin","year":"0","journal-title":"ECCV"},{"key":"ref3","first-page":"2074","article-title":"Learning structured sparsity in deep neural networks","author":"wen","year":"2016","journal-title":"NeurIPS"},{"key":"ref6","article-title":"Rethinking the value of network pruning","author":"liu","year":"2018","journal-title":"arXiv preprint arXiv 1810 04805"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00447"},{"key":"ref5","first-page":"1135","article-title":"Learning both weights and connections for efficient neural network","author":"han","year":"2015","journal-title":"NeurIPS"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.541"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.155"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01298"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00958"},{"key":"ref1","article-title":"Yolov4: Optimal speed and accuracy of object detection","author":"bochkovskiy","year":"2020","journal-title":"arXiv 2004 10934"},{"key":"ref20","article-title":"Pytorch: An imperative style, high-performance deep learning library","author":"paszke","year":"2019","journal-title":"NeurIPS"},{"key":"ref22","first-page":"759","article-title":"Network pruning via transformable architecture search","author":"dong","year":"2019","journal-title":"NeurIPS"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01237-3_12"},{"key":"ref24","article-title":"Bayesian optimization in alphago","author":"chen","year":"2018","journal-title":"arXiv 1812 06855"},{"key":"ref23","first-page":"875","article-title":"Discrimination-aware channel pruning for deep neural networks","author":"zhuang","year":"2018","journal-title":"NeurIPS"},{"key":"ref26","first-page":"5381","article-title":"Improving the expected improvement algorithm","author":"qin","year":"2017","journal-title":"NeurIPS"},{"key":"ref25","article-title":"Weisfeiler-lehman graph kernels","volume":"12","author":"shervashidze","year":"2011","journal-title":"Journal of Machine Learning Research"}],"event":{"name":"2021 58th ACM\/IEEE Design Automation Conference (DAC)","location":"San Francisco, CA, USA","start":{"date-parts":[[2021,12,5]]},"end":{"date-parts":[[2021,12,9]]}},"container-title":["2021 58th ACM\/IEEE Design Automation Conference (DAC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9585997\/9586083\/09586163.pdf?arnumber=9586163","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T16:55:56Z","timestamp":1652201756000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9586163\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,12,5]]},"references-count":29,"URL":"https:\/\/doi.org\/10.1109\/dac18074.2021.9586163","relation":{},"subject":[],"published":{"date-parts":[[2021,12,5]]}}}