{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,8]],"date-time":"2026-04-08T16:27:45Z","timestamp":1775665665679,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":22,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,7,10]],"date-time":"2022-07-10T00:00:00Z","timestamp":1657411200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2022,7,10]]},"DOI":"10.1145\/3489517.3530488","type":"proceedings-article","created":{"date-parts":[[2022,8,23]],"date-time":"2022-08-23T23:19:29Z","timestamp":1661296769000},"page":"475-480","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":13,"title":["You only search once"],"prefix":"10.1145","author":[{"given":"Xiangzhong","family":"Luo","sequence":"first","affiliation":[{"name":"Nanyang Technological University, Singapore"}]},{"given":"Di","family":"Liu","sequence":"additional","affiliation":[{"name":"Nanyang Technological University, Singapore"}]},{"given":"Hao","family":"Kong","sequence":"additional","affiliation":[{"name":"Nanyang Technological University, Singapore"}]},{"given":"Shuo","family":"Huai","sequence":"additional","affiliation":[{"name":"Nanyang Technological University, Singapore"}]},{"given":"Hui","family":"Chen","sequence":"additional","affiliation":[{"name":"Nanyang Technological University, Singapore"}]},{"given":"Weichen","family":"Liu","sequence":"additional","affiliation":[{"name":"Nanyang Technological University, Singapore"}]}],"member":"320","published-online":{"date-parts":[[2022,8,23]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"DAC","author":"Zhang X.","year":"2021","unstructured":"X. Zhang and et al. F-cad: A framework to explore hardware accelerators for codec avatar decoding. DAC, 2021."},{"key":"e_1_3_2_1_2_1","volume-title":"MLSys","author":"Zhang X.","year":"2020","unstructured":"X. Zhang and et al. Skynet: a hardware-efficient method for object detection and tracking on embedded systems. MLSys, 2020."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/HPCA.2019.00048"},{"key":"e_1_3_2_1_4_1","volume-title":"ICLR","author":"Cai H.","year":"2019","unstructured":"H. Cai and et al. Proxylessnas: Direct neural architecture search on target task and hardware. ICLR, 2019."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01099"},{"key":"e_1_3_2_1_6_1","volume-title":"Neural architecture search with reinforcement learning. arXiv preprint arXiv:1611.01578","author":"Zoph B.","year":"2016","unstructured":"B. Zoph and et al. Neural architecture search with reinforcement learning. arXiv preprint arXiv:1611.01578, 2016."},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33014780"},{"key":"e_1_3_2_1_8_1","volume-title":"ICLR","author":"Liu H.","year":"2019","unstructured":"H. Liu and et al. Darts: Differentiable architecture search. ICLR, 2019."},{"key":"e_1_3_2_1_9_1","volume-title":"ICLR","author":"Xie S.","year":"2019","unstructured":"S. Xie and et al. Snas: Stochastic neural architecture search. ICLR, 2019."},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01128"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01202"},{"key":"e_1_3_2_1_12_1","volume-title":"ICML","author":"Tan M.","year":"2019","unstructured":"M. Tan and et al. Efficientnet: Rethinking model scaling for convolutional neural networks. In ICML, 2019."},{"key":"e_1_3_2_1_13_1","volume-title":"DATE","author":"Kim S.","year":"2021","unstructured":"S. Kim and et al. Mdarts: Multi-objective differentiable neural architecture search. In DATE, 2021."},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00293"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00474"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00745"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00140"},{"key":"e_1_3_2_1_18_1","volume-title":"ICLR","author":"Cai H.","year":"2020","unstructured":"H. Cai and et al. Once-for-all: Train one network and specialize it for efficient deployment. ICLR, 2020."},{"key":"e_1_3_2_1_19_1","volume-title":"Categorical reparameterization with gumbel-softmax. arXiv preprint arXiv:1611.01144","author":"Jang E.","year":"2016","unstructured":"E. Jang and et al. Categorical reparameterization with gumbel-softmax. arXiv preprint arXiv:1611.01144, 2016."},{"key":"e_1_3_2_1_20_1","volume-title":"Estimating or propagating gradients through stochastic neurons for conditional computation. arXiv preprint arXiv:1308.3432","author":"Bengio Y.","year":"2013","unstructured":"Y. Bengio and et al. Estimating or propagating gradients through stochastic neurons for conditional computation. arXiv preprint arXiv:1308.3432, 2013."},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46448-0_2"}],"event":{"name":"DAC '22: 59th ACM\/IEEE Design Automation Conference","location":"San Francisco California","acronym":"DAC '22","sponsor":["SIGDA ACM Special Interest Group on Design Automation","IEEE CEDA"]},"container-title":["Proceedings of the 59th ACM\/IEEE Design Automation Conference"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3489517.3530488","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3489517.3530488","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T19:02:17Z","timestamp":1750186937000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3489517.3530488"}},"subtitle":["on lightweight differentiable architecture search for resource-constrained embedded platforms"],"short-title":[],"issued":{"date-parts":[[2022,7,10]]},"references-count":22,"alternative-id":["10.1145\/3489517.3530488","10.1145\/3489517"],"URL":"https:\/\/doi.org\/10.1145\/3489517.3530488","relation":{},"subject":[],"published":{"date-parts":[[2022,7,10]]},"assertion":[{"value":"2022-08-23","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}