{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,9]],"date-time":"2026-07-09T04:47:25Z","timestamp":1783572445092,"version":"3.55.0"},"publisher-location":"New York, NY, USA","reference-count":38,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,4,26]],"date-time":"2021-04-26T00:00:00Z","timestamp":1619395200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"EPSRC","award":["EP\/M50659X\/1"],"award-info":[{"award-number":["EP\/M50659X\/1"]}]},{"name":"European Research Council via the REDIAL project","award":["805194"],"award-info":[{"award-number":["805194"]}]},{"name":"EPSRC (MOA Proj)","award":["EP\/S001530\/1"],"award-info":[{"award-number":["EP\/S001530\/1"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2021,4,26]]},"DOI":"10.1145\/3437984.3458836","type":"proceedings-article","created":{"date-parts":[[2021,4,25]],"date-time":"2021-04-25T09:56:04Z","timestamp":1619344564000},"page":"70-79","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":84,"title":["\u03bcNAS"],"prefix":"10.1145","author":[{"given":"Edgar","family":"Liberis","sequence":"first","affiliation":[{"name":"University of Cambridge, Cambridge, United Kingdom"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"\u0141ukasz","family":"Dudziak","sequence":"additional","affiliation":[{"name":"Samsung AI Centre Cambridge, Cambridge, United Kingdom"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nicholas D.","family":"Lane","sequence":"additional","affiliation":[{"name":"University of Cambridge, Samsung AI Centre Cambridge, Cambridge, United Kingdom"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2021,4,26]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Urmish Thakkar, Dibakar Gope, Vijay Janapa Reddi, Matthew Mattina, and Paul N Whatmough.","author":"Banbury Colby","year":"2020","unstructured":"Colby Banbury , Chuteng Zhou , Igor Fedorov , Ramon Matas Navarro , Urmish Thakkar, Dibakar Gope, Vijay Janapa Reddi, Matthew Mattina, and Paul N Whatmough. 2020 . MicroNets: Neural Network Architectures for Deploying TinyML Applications on Commodity Microcontrollers . arXiv preprint arXiv:2010.11267 (2020). Colby Banbury, Chuteng Zhou, Igor Fedorov, Ramon Matas Navarro, Urmish Thakkar, Dibakar Gope, Vijay Janapa Reddi, Matthew Mattina, and Paul N Whatmough. 2020. MicroNets: Neural Network Architectures for Deploying TinyML Applications on Commodity Microcontrollers. arXiv preprint arXiv:2010.11267 (2020)."},{"key":"e_1_3_2_1_2_1","volume-title":"ProxylessNAS: Direct neural architecture search on target task and hardware. arXiv preprint arXiv:1812.00332","author":"Cai Han","year":"2018","unstructured":"Han Cai , Ligeng Zhu , and Song Han . 2018. ProxylessNAS: Direct neural architecture search on target task and hardware. arXiv preprint arXiv:1812.00332 ( 2018 ). Han Cai, Ligeng Zhu, and Song Han. 2018. ProxylessNAS: Direct neural architecture search on target task and hardware. arXiv preprint arXiv:1812.00332 (2018)."},{"key":"e_1_3_2_1_3_1","volume-title":"BRP-NAS: Prediction-based NAS using GCNs. arXiv preprint arXiv:2007.08668","author":"Chau Thomas","year":"2020","unstructured":"Thomas Chau , &Lstroke;ukasz Dudziak, Mohamed S Abdelfattah , Royson Lee , Hyeji Kim , and Nicholas D Lane . 2020. BRP-NAS: Prediction-based NAS using GCNs. arXiv preprint arXiv:2007.08668 ( 2020 ). Thomas Chau, &Lstroke;ukasz Dudziak, Mohamed S Abdelfattah, Royson Lee, Hyeji Kim, and Nicholas D Lane. 2020. BRP-NAS: Prediction-based NAS using GCNs. arXiv preprint arXiv:2007.08668 (2020)."},{"key":"e_1_3_2_1_4_1","volume-title":"SwiftNet: Using Graph Propagation as Meta-knowledge to Search Highly Representative Neural Architectures. arXiv preprint arXiv:1906.08305","author":"Cheng Hsin-Pai","year":"2019","unstructured":"Hsin-Pai Cheng , Tunhou Zhang , Yukun Yang , Feng Yan , Shiyu Li , Harris Teague , Hai Li , and Yiran Chen . 2019. SwiftNet: Using Graph Propagation as Meta-knowledge to Search Highly Representative Neural Architectures. arXiv preprint arXiv:1906.08305 ( 2019 ). Hsin-Pai Cheng, Tunhou Zhang, Yukun Yang, Feng Yan, Shiyu Li, Harris Teague, Hai Li, and Yiran Chen. 2019. SwiftNet: Using Graph Propagation as Meta-knowledge to Search Highly Representative Neural Architectures. arXiv preprint arXiv:1906.08305 (2019)."},{"key":"e_1_3_2_1_5_1","volume-title":"A survey of model compression and acceleration for deep neural networks. arXiv preprint arXiv:1710.09282","author":"Cheng Yu","year":"2017","unstructured":"Yu Cheng , Duo Wang , Pan Zhou , and Tao Zhang . 2017. A survey of model compression and acceleration for deep neural networks. arXiv preprint arXiv:1710.09282 ( 2017 ). Yu Cheng, Duo Wang, Pan Zhou, and Tao Zhang. 2017. A survey of model compression and acceleration for deep neural networks. arXiv preprint arXiv:1710.09282 (2017)."},{"key":"e_1_3_2_1_6_1","volume-title":"Nat Jeffries, Jian Li, Nick Kreeger, Ian Nappier, Meghna Natraj, Shlomi Regev, et al.","author":"David Robert","year":"2020","unstructured":"Robert David , Jared Duke , Advait Jain , Vijay Janapa Reddi , Nat Jeffries, Jian Li, Nick Kreeger, Ian Nappier, Meghna Natraj, Shlomi Regev, et al. 2020 . TensorFlow Lite Micro: Embedded Machine Learning on TinyML Systems . arXiv preprint arXiv:2010.08678 (2020). Robert David, Jared Duke, Advait Jain, Vijay Janapa Reddi, Nat Jeffries, Jian Li, Nick Kreeger, Ian Nappier, Meghna Natraj, Shlomi Regev, et al. 2020. TensorFlow Lite Micro: Embedded Machine Learning on TinyML Systems. arXiv preprint arXiv:2010.08678 (2020)."},{"key":"e_1_3_2_1_7_1","volume-title":"Manik Varma, et al.","author":"De Campos Te\u00f3filo Em\u00eddio","year":"2009","unstructured":"Te\u00f3filo Em\u00eddio De Campos , Bodla Rakesh Babu , Manik Varma, et al. 2009 . Character recognition in natural images. VISAPP ( 2) 7 (2009). Te\u00f3filo Em\u00eddio De Campos, Bodla Rakesh Babu, Manik Varma, et al. 2009. Character recognition in natural images. VISAPP (2) 7 (2009)."},{"key":"e_1_3_2_1_8_1","volume-title":"Jan Hendrik Metzen, and Frank Hutter","author":"Elsken Thomas","year":"2018","unstructured":"Thomas Elsken , Jan Hendrik Metzen, and Frank Hutter . 2018 . Efficient multi-objective neural architecture search via Lamarckian evolution. arXiv preprint arXiv:1804.09081 (2018). Thomas Elsken, Jan Hendrik Metzen, and Frank Hutter. 2018. Efficient multi-objective neural architecture search via Lamarckian evolution. arXiv preprint arXiv:1804.09081 (2018)."},{"key":"e_1_3_2_1_9_1","unstructured":"Igor Fedorov Ryan P Adams Matthew Mattina and Paul Whatmough. 2019. SpArSe: Sparse architecture search for CNNs on resource-constrained microcontrollers. In Advances in Neural Information Processing Systems. 4977--4989.  Igor Fedorov Ryan P Adams Matthew Mattina and Paul Whatmough. 2019. SpArSe: Sparse architecture search for CNNs on resource-constrained microcontrollers. In Advances in Neural Information Processing Systems. 4977--4989."},{"key":"e_1_3_2_1_10_1","volume-title":"Searching for Winograd-aware quantized networks. arXiv preprint arXiv:2002.10711","author":"Fernandez-Marques Javier","year":"2020","unstructured":"Javier Fernandez-Marques , Paul N Whatmough , Andrew Mundy , and Matthew Mattina . 2020. Searching for Winograd-aware quantized networks. arXiv preprint arXiv:2002.10711 ( 2020 ). Javier Fernandez-Marques, Paul N Whatmough, Andrew Mundy, and Matthew Mattina. 2020. Searching for Winograd-aware quantized networks. arXiv preprint arXiv:2002.10711 (2020)."},{"key":"e_1_3_2_1_11_1","volume-title":"Single path one-shot neural architecture search with uniform sampling. arXiv preprint arXiv:1904.00420","author":"Guo Zichao","year":"2019","unstructured":"Zichao Guo , Xiangyu Zhang , Haoyuan Mu , Wen Heng , Zechun Liu , Yichen Wei , and Jian Sun . 2019. Single path one-shot neural architecture search with uniform sampling. arXiv preprint arXiv:1904.00420 ( 2019 ). Zichao Guo, Xiangyu Zhang, Haoyuan Mu, Wen Heng, Zechun Liu, Yichen Wei, and Jian Sun. 2019. Single path one-shot neural architecture search with uniform sampling. arXiv preprint arXiv:1904.00420 (2019)."},{"key":"e_1_3_2_1_12_1","volume-title":"International Conference on Machine Learning. 1331--1340","author":"Gupta Chirag","year":"2017","unstructured":"Chirag Gupta , Arun Sai Suggala , Ankit Goyal , Harsha Vardhan Simhadri , Bhargavi Paranjape , Ashish Kumar , Saurabh Goyal , Raghavendra Udupa , Manik Varma , and Prateek Jain . 2017 . ProtoNN: Compressed and accurate knn for resource-scarce devices . In International Conference on Machine Learning. 1331--1340 . Chirag Gupta, Arun Sai Suggala, Ankit Goyal, Harsha Vardhan Simhadri, Bhargavi Paranjape, Ashish Kumar, Saurabh Goyal, Raghavendra Udupa, Manik Varma, and Prateek Jain. 2017. ProtoNN: Compressed and accurate knn for resource-scarce devices. In International Conference on Machine Learning. 1331--1340."},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"e_1_3_2_1_14_1","volume-title":"MONAS: Multi-objective neural architecture search using reinforcement learning. arXiv preprint arXiv:1806.10332","author":"Hsu Chi-Hung","year":"2018","unstructured":"Chi-Hung Hsu , Shu-Huan Chang , Jhao-Hong Liang , Hsin-Ping Chou , Chun-Hao Liu , Shih-Chieh Chang , Jia-Yu Pan , Yu-Ting Chen , Wei Wei , and Da-Cheng Juan . 2018 . MONAS: Multi-objective neural architecture search using reinforcement learning. arXiv preprint arXiv:1806.10332 (2018). Chi-Hung Hsu, Shu-Huan Chang, Jhao-Hong Liang, Hsin-Ping Chou, Chun-Hao Liu, Shih-Chieh Chang, Jia-Yu Pan, Yu-Ting Chen, Wei Wei, and Da-Cheng Juan. 2018. MONAS: Multi-objective neural architecture search using reinforcement learning. arXiv preprint arXiv:1806.10332 (2018)."},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00286"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330648"},{"key":"e_1_3_2_1_17_1","unstructured":"Kirthevasan Kandasamy Willie Neiswanger Jeff Schneider Barnabas Poczos and Eric P Xing. 2018. Neural architecture search with bayesian optimisation and optimal transport. In Advances in neural information processing systems. 2016--2025.  Kirthevasan Kandasamy Willie Neiswanger Jeff Schneider Barnabas Poczos and Eric P Xing. 2018. Neural architecture search with bayesian optimisation and optimal transport. In Advances in neural information processing systems. 2016--2025."},{"key":"e_1_3_2_1_19_1","volume-title":"International Conference on Machine Learning. 1935--1944","author":"Kumar Ashish","year":"2017","unstructured":"Ashish Kumar , Saurabh Goyal , and Manik Varma . 2017 . Resource-efficient machine learning in 2 KB RAM for the internet of things . In International Conference on Machine Learning. 1935--1944 . Ashish Kumar, Saurabh Goyal, and Manik Varma. 2017. Resource-efficient machine learning in 2 KB RAM for the internet of things. In International Conference on Machine Learning. 1935--1944."},{"key":"e_1_3_2_1_20_1","unstructured":"Yann LeCun and Corinna Cortes. 2010. MNIST handwritten digit database. http:\/\/yann.lecun.com\/exdb\/mnist\/. (2010). http:\/\/yann.lecun.com\/exdb\/mnist\/  Yann LeCun and Corinna Cortes. 2010. MNIST handwritten digit database. http:\/\/yann.lecun.com\/exdb\/mnist\/. (2010). http:\/\/yann.lecun.com\/exdb\/mnist\/"},{"key":"e_1_3_2_1_21_1","volume-title":"Neural networks on microcontrollers: saving memory at inference via operator reordering. arXiv preprint arXiv:1910.05110","author":"Liberis Edgar","year":"2019","unstructured":"Edgar Liberis and Nicholas D Lane . 2019. Neural networks on microcontrollers: saving memory at inference via operator reordering. arXiv preprint arXiv:1910.05110 ( 2019 ). Edgar Liberis and Nicholas D Lane. 2019. Neural networks on microcontrollers: saving memory at inference via operator reordering. arXiv preprint arXiv:1910.05110 (2019)."},{"key":"e_1_3_2_1_22_1","volume-title":"MCUNet: Tiny deep learning on iot devices. arXiv preprint arXiv:2007.10319","author":"Lin Ji","year":"2020","unstructured":"Ji Lin , Wei-Ming Chen , Yujun Lin , John Cohn , Chuang Gan , and Song Han . 2020. MCUNet: Tiny deep learning on iot devices. arXiv preprint arXiv:2007.10319 ( 2020 ). Ji Lin, Wei-Ming Chen, Yujun Lin, John Cohn, Chuang Gan, and Song Han. 2020. MCUNet: Tiny deep learning on iot devices. arXiv preprint arXiv:2007.10319 (2020)."},{"key":"e_1_3_2_1_23_1","volume-title":"Dynamic model pruning with feedback. arXiv preprint arXiv:2006.07253","author":"Lin Tao","year":"2020","unstructured":"Tao Lin , Sebastian U Stich , Luis Barba , Daniil Dmitriev , and Martin Jaggi . 2020. Dynamic model pruning with feedback. arXiv preprint arXiv:2006.07253 ( 2020 ). Tao Lin, Sebastian U Stich, Luis Barba, Daniil Dmitriev, and Martin Jaggi. 2020. Dynamic model pruning with feedback. arXiv preprint arXiv:2006.07253 (2020)."},{"key":"e_1_3_2_1_24_1","volume-title":"DARTS: Differentiable architecture search. arXiv preprint arXiv:1806.09055","author":"Liu Hanxiao","year":"2018","unstructured":"Hanxiao Liu , Karen Simonyan , and Yiming Yang . 2018 . DARTS: Differentiable architecture search. arXiv preprint arXiv:1806.09055 (2018). Hanxiao Liu, Karen Simonyan, and Yiming Yang. 2018. DARTS: Differentiable architecture search. arXiv preprint arXiv:1806.09055 (2018)."},{"key":"e_1_3_2_1_25_1","volume-title":"AtomNas: Fine-grained end-to-end neural architecture search. arXiv preprint arXiv:1912.09640","author":"Mei Jieru","year":"2019","unstructured":"Jieru Mei , Yingwei Li , Xiaochen Lian , Xiaojie Jin , Linjie Yang , Alan Yuille , and Jianchao Yang . 2019. AtomNas: Fine-grained end-to-end neural architecture search. arXiv preprint arXiv:1912.09640 ( 2019 ). Jieru Mei, Yingwei Li, Xiaochen Lian, Xiaojie Jin, Linjie Yang, Alan Yuille, and Jianchao Yang. 2019. AtomNas: Fine-grained end-to-end neural architecture search. arXiv preprint arXiv:1912.09640 (2019)."},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICECS46596.2019.8964993"},{"key":"e_1_3_2_1_27_1","unstructured":"Biswajit Paria Kirthevasan Kandasamy and Barnab\u00e1s P\u00f3czos. 2020. A flexible framework for multi-objective bayesian optimization using random scalarizations. In Uncertainty in Artificial Intelligence. PMLR 766--776.  Biswajit Paria Kirthevasan Kandasamy and Barnab\u00e1s P\u00f3czos. 2020. A flexible framework for multi-objective bayesian optimization using random scalarizations. In Uncertainty in Artificial Intelligence. PMLR 766--776."},{"key":"e_1_3_2_1_28_1","volume-title":"Efficient Neural Architecture Search via Parameters Sharing (Proceedings of Machine Learning Research (PMLR)","author":"Pham Hieu","unstructured":"Hieu Pham , Melody Guan , Barret Zoph , Quoc Le , and Jeff Dean . 2018. Efficient Neural Architecture Search via Parameters Sharing (Proceedings of Machine Learning Research (PMLR) , Vol. 80), Jennifer Dy and Andreas Krause (Eds.). 4095-- 4104 . Hieu Pham, Melody Guan, Barret Zoph, Quoc Le, and Jeff Dean. 2018. Efficient Neural Architecture Search via Parameters Sharing (Proceedings of Machine Learning Research (PMLR), Vol. 80), Jennifer Dy and Andreas Krause (Eds.). 4095--4104."},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33014780"},{"key":"e_1_3_2_1_30_1","volume-title":"ST Zio and morpho connectivity. https:\/\/www.st.com\/en\/evaluation-tools\/nucleo-h743zi.html (Accessed","year":"2020","unstructured":"STMicroelectronics. 2020. STM32 Nucleo-144 development board with STM32H743ZI MCU, supports Arduino , ST Zio and morpho connectivity. https:\/\/www.st.com\/en\/evaluation-tools\/nucleo-h743zi.html (Accessed Aug 2020 ). STMicroelectronics. 2020. STM32 Nucleo-144 development board with STM32H743ZI MCU, supports Arduino, ST Zio and morpho connectivity. https:\/\/www.st.com\/en\/evaluation-tools\/nucleo-h743zi.html (Accessed Aug 2020)."},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00293"},{"key":"e_1_3_2_1_33_1","volume-title":"Speech commands: A dataset for limited-vocabulary speech recognition. arXiv preprint arXiv:1804.03209","author":"Warden Pete","year":"2018","unstructured":"Pete Warden . 2018. Speech commands: A dataset for limited-vocabulary speech recognition. arXiv preprint arXiv:1804.03209 ( 2018 ). Pete Warden. 2018. Speech commands: A dataset for limited-vocabulary speech recognition. arXiv preprint arXiv:1804.03209 (2018)."},{"key":"e_1_3_2_1_34_1","volume-title":"Fashion-MNIST: a novel image dataset for benchmarking machine learning algorithms. arXiv preprint arXiv:1708.07747","author":"Xiao Han","year":"2017","unstructured":"Han Xiao , Kashif Rasul , and Roland Vollgraf . 2017. Fashion-MNIST: a novel image dataset for benchmarking machine learning algorithms. arXiv preprint arXiv:1708.07747 ( 2017 ). Han Xiao, Kashif Rasul, and Roland Vollgraf. 2017. Fashion-MNIST: a novel image dataset for benchmarking machine learning algorithms. arXiv preprint arXiv:1708.07747 (2017)."},{"key":"e_1_3_2_1_35_1","volume-title":"SNAS: stochastic neural architecture search. arXiv preprint arXiv:1812.09926","author":"Xie Sirui","year":"2018","unstructured":"Sirui Xie , Hehui Zheng , Chunxiao Liu , and Liang Lin . 2018. SNAS: stochastic neural architecture search. arXiv preprint arXiv:1812.09926 ( 2018 ). Sirui Xie, Hehui Zheng, Chunxiao Liu, and Liang Lin. 2018. SNAS: stochastic neural architecture search. arXiv preprint arXiv:1812.09926 (2018)."},{"key":"e_1_3_2_1_36_1","volume-title":"zalandoresearch\/fashion-mnist Github repository. https:\/\/github.com\/zalandoresearch\/fashion-mnist (Accessed","year":"2020","unstructured":"Zalando. 2020. zalandoresearch\/fashion-mnist Github repository. https:\/\/github.com\/zalandoresearch\/fashion-mnist (Accessed Aug 2020 ). Zalando. 2020. zalandoresearch\/fashion-mnist Github repository. https:\/\/github.com\/zalandoresearch\/fashion-mnist (Accessed Aug 2020)."},{"key":"e_1_3_2_1_37_1","volume-title":"Hello Edge: Keyword spotting on microcontrollers. arXiv preprint arXiv:1711.07128","author":"Zhang Yundong","year":"2017","unstructured":"Yundong Zhang , Naveen Suda , Liangzhen Lai , and Vikas Chandra . 2017 . Hello Edge: Keyword spotting on microcontrollers. arXiv preprint arXiv:1711.07128 (2017). Yundong Zhang, Naveen Suda, Liangzhen Lai, and Vikas Chandra. 2017. Hello Edge: Keyword spotting on microcontrollers. arXiv preprint arXiv:1711.07128 (2017)."},{"key":"e_1_3_2_1_38_1","volume-title":"Resource-efficient neural architect. arXiv preprint arXiv:1806.07912","author":"Zhou Yanqi","year":"2018","unstructured":"Yanqi Zhou , Siavash Ebrahimi , Sercan \u00d6 Ar\u0131k , Haonan Yu , Hairong Liu , and Greg Diamos . 2018. Resource-efficient neural architect. arXiv preprint arXiv:1806.07912 ( 2018 ). Yanqi Zhou, Siavash Ebrahimi, Sercan \u00d6 Ar\u0131k, Haonan Yu, Hairong Liu, and Greg Diamos. 2018. Resource-efficient neural architect. arXiv preprint arXiv:1806.07912 (2018)."},{"key":"e_1_3_2_1_39_1","volume-title":"Neural architecture search with reinforcement learning. arXiv preprint arXiv:1611.01578","author":"Zoph Barret","year":"2016","unstructured":"Barret Zoph and Quoc V Le. 2016. Neural architecture search with reinforcement learning. arXiv preprint arXiv:1611.01578 ( 2016 ). Barret Zoph and Quoc V Le. 2016. Neural architecture search with reinforcement learning. arXiv preprint arXiv:1611.01578 (2016)."}],"event":{"name":"EuroSys '21: Sixteenth European Conference on Computer Systems","location":"Online United Kingdom","acronym":"EuroSys '21","sponsor":["SIGOPS ACM Special Interest Group on Operating Systems"]},"container-title":["Proceedings of the 1st Workshop on Machine Learning and Systems"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3437984.3458836","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3437984.3458836","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T20:47:18Z","timestamp":1750193238000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3437984.3458836"}},"subtitle":["Constrained Neural Architecture Search for Microcontrollers"],"short-title":[],"issued":{"date-parts":[[2021,4,26]]},"references-count":38,"alternative-id":["10.1145\/3437984.3458836","10.1145\/3437984"],"URL":"https:\/\/doi.org\/10.1145\/3437984.3458836","relation":{},"subject":[],"published":{"date-parts":[[2021,4,26]]},"assertion":[{"value":"2021-04-26","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}