{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T19:23:30Z","timestamp":1740165810717,"version":"3.37.3"},"reference-count":72,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"11","license":[{"start":{"date-parts":[[2024,11,1]],"date-time":"2024-11-01T00:00:00Z","timestamp":1730419200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,11,1]],"date-time":"2024-11-01T00:00:00Z","timestamp":1730419200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,11,1]],"date-time":"2024-11-01T00:00:00Z","timestamp":1730419200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Shanghai Municipal Science and Technology Major Project","award":["2021SHZDZX0102"],"award-info":[{"award-number":["2021SHZDZX0102"]}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Neural Netw. Learning Syst."],"published-print":{"date-parts":[[2024,11]]},"DOI":"10.1109\/tnnls.2023.3283239","type":"journal-article","created":{"date-parts":[[2023,7,11]],"date-time":"2023-07-11T17:24:40Z","timestamp":1689096280000},"page":"15195-15209","source":"Crossref","is-referenced-by-count":0,"title":["Neural Architecture Selection as a Nash Equilibrium With Batch Entanglement"],"prefix":"10.1109","volume":"35","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3642-7909","authenticated-orcid":false,"given":"Qian","family":"Li","sequence":"first","affiliation":[{"name":"China Ministry of Education (MOE) Key Laboratory of Artificial Intelligence, Artificial Intelligence Institute, Shanghai Jiao Tong University, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chao","family":"Xue","sequence":"additional","affiliation":[{"name":"Jing Dong Explore Academy, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mingming","family":"Li","sequence":"additional","affiliation":[{"name":"Jing Dong Explore Academy, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5716-268X","authenticated-orcid":false,"given":"Chun-Guang","family":"Li","sequence":"additional","affiliation":[{"name":"School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8459-2845","authenticated-orcid":false,"given":"Chao","family":"Ma","sequence":"additional","affiliation":[{"name":"China Ministry of Education (MOE) Key Laboratory of Artificial Intelligence, Artificial Intelligence Institute, Shanghai Jiao Tong University, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4029-3322","authenticated-orcid":false,"given":"Xiaokang","family":"Yang","sequence":"additional","affiliation":[{"name":"China Ministry of Education (MOE) Key Laboratory of Artificial Intelligence, Artificial Intelligence Institute, Shanghai Jiao Tong University, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.2975798"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/3404374"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2021.3067449"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/3468872"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/3472810"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1611.01578"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33014780"},{"key":"ref8","first-page":"2902","article-title":"Large-scale evolution of image classifiers","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Real"},{"key":"ref9","first-page":"4095","article-title":"Efficient neural architecture search via parameters sharing","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Pham"},{"key":"ref10","article-title":"DARTS: Differentiable architecture search","author":"Liu","year":"2018","journal-title":"arXiv:1806.09055"},{"key":"ref11","article-title":"Understanding and robustifying differentiable architecture search","author":"Zela","year":"2019","journal-title":"arXiv:1909.09656"},{"key":"ref12","article-title":"Rethinking architecture selection in differentiable NAS","author":"Wang","year":"2021","journal-title":"arXiv:2108.04392"},{"key":"ref13","article-title":"ISTA-NAS: Efficient and consistent neural architecture search by sparse coding","author":"Yang","year":"2020","journal-title":"arXiv:2010.06176"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/S0893-6080(05)80006-1"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/72.265960"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-05318-5_3"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00907"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00257"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01246-5_2"},{"key":"ref20","first-page":"677","article-title":"Path-level network transformation for efficient architecture search","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Cai"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.668"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00293"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00474"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00017"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2699184"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01298"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00140"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01044"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00186"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00300"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01205"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3100554"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/tnnls.2022.3155230"},{"issue":"1","key":"ref34","first-page":"115","article-title":"Making a science of model search: Hyperparameter optimization in hundreds of dimensions for vision architectures","volume-title":"Proc. Int. Conf. Mach. Learn.","volume":"28","author":"Bergstra"},{"key":"ref35","article-title":"Finding competitive network architectures within a day using UCT","author":"Wistuba","year":"2017","journal-title":"arXiv:1712.07420"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3096658"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2022.3151160"},{"key":"ref38","first-page":"7603","article-title":"Bayesnas: A Bayesian approach for neural architecture search","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Zhou"},{"key":"ref39","first-page":"1554","article-title":"Stabilizing differentiable architecture search via perturbation-based regularization","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Chen"},{"key":"ref40","article-title":"DrNAS: Dirichlet neural architecture search","author":"Chen","year":"2020","journal-title":"arXiv:2006.10355"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3105698"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3072950"},{"key":"ref43","article-title":"SNAS: Stochastic neural architecture search","author":"Xie","year":"2018","journal-title":"arXiv:1812.09926"},{"key":"ref44","article-title":"ProxylessNAS: Direct neural architecture search on target task and hardware","author":"Cai","year":"2018","journal-title":"arXiv:1812.00332"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00138"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3067028"},{"issue":"1","key":"ref47","first-page":"6765","article-title":"Hyperband: A novel bandit-based approach to hyperparameter optimization","volume":"18","author":"Li","year":"2017","journal-title":"J. Mach. Learn. Res."},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2022.3192169"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01141"},{"key":"ref50","article-title":"Zero-cost proxies for lightweight NAS","author":"Abdelfattah","year":"2021","journal-title":"arXiv:2101.08134"},{"key":"ref51","article-title":"PC-DARTS: Partial channel connections for memory-efficient architecture search","author":"Xu","year":"2019","journal-title":"arXiv:1907.05737"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3085299"},{"key":"ref53","article-title":"Accelerating neural architecture search using performance prediction","author":"Baker","year":"2017","journal-title":"arXiv:1705.10823"},{"key":"ref54","article-title":"Connection sensitivity matters for training-free DARTS: From architecture-level scoring to operation-level sensitivity analysis","author":"Zhang","year":"2021","journal-title":"arXiv:2106.11542"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11709"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/72.165589"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-79119-2_7"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/72.508942"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2004.836197"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.36.1.48"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.2307\/1969529"},{"key":"ref62","article-title":"Fast complete algorithm for multiplayer Nash equilibrium","author":"Ganzfried","year":"2020","journal-title":"arXiv:2002.04734"},{"article-title":"Learning multiple layers of features from tiny images","year":"2009","author":"Krizhevsky","key":"ref63"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01246-5_2"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00169"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01433"},{"key":"ref69","first-page":"367","article-title":"Random search and reproducibility for neural architecture search","volume-title":"Proc. Uncertainty Artif. Intell.","author":"Li"},{"key":"ref70","article-title":"NAS-Bench-201: Extending the scope of reproducible neural architecture search","author":"Dong","year":"2020","journal-title":"arXiv:2001.00326"},{"key":"ref71","first-page":"1097","article-title":"ImageNet classification with deep convolutional neural networks","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"25","author":"Krizhevsky"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1134\/S0005117916080154"}],"container-title":["IEEE Transactions on Neural Networks and Learning Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/5962385\/10737991\/10177894.pdf?arnumber=10177894","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,27]],"date-time":"2024-11-27T19:27:27Z","timestamp":1732735647000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10177894\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,11]]},"references-count":72,"journal-issue":{"issue":"11"},"URL":"https:\/\/doi.org\/10.1109\/tnnls.2023.3283239","relation":{},"ISSN":["2162-237X","2162-2388"],"issn-type":[{"type":"print","value":"2162-237X"},{"type":"electronic","value":"2162-2388"}],"subject":[],"published":{"date-parts":[[2024,11]]}}}