{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T03:31:15Z","timestamp":1769916675373,"version":"3.49.0"},"reference-count":58,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"1","license":[{"start":{"date-parts":[[2022,3,1]],"date-time":"2022-03-01T00:00:00Z","timestamp":1646092800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,3,1]],"date-time":"2022-03-01T00:00:00Z","timestamp":1646092800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,3,1]],"date-time":"2022-03-01T00:00:00Z","timestamp":1646092800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61877051 and 61872079"],"award-info":[{"award-number":["61877051 and 61872079"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Cogn. Dev. Syst."],"published-print":{"date-parts":[[2022,3]]},"DOI":"10.1109\/tcds.2020.3040796","type":"journal-article","created":{"date-parts":[[2020,11,26]],"date-time":"2020-11-26T21:17:16Z","timestamp":1606425436000},"page":"234-245","source":"Crossref","is-referenced-by-count":16,"title":["EfficientAutoGAN: Predicting the Rewards in Reinforcement-Based Neural Architecture Search for Generative Adversarial Networks"],"prefix":"10.1109","volume":"14","author":[{"given":"Yi","family":"Fan","sequence":"first","affiliation":[{"name":"College of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing, China"}]},{"given":"Xiulian","family":"Tang","sequence":"additional","affiliation":[{"name":"College of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4770-3822","authenticated-orcid":false,"given":"Guoqiang","family":"Zhou","sequence":"additional","affiliation":[{"name":"College of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9403-7140","authenticated-orcid":false,"given":"Jun","family":"Shen","sequence":"additional","affiliation":[{"name":"School of Computing and Information Technology, University of Wollongong, Wollongong, NSW, Australia"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.3156\/jsoft.29.5_177_2"},{"key":"ref2","first-page":"276","article-title":"Neural architecture search with reinforcement learning","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Zoph"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00907"},{"key":"ref4","first-page":"4092","article-title":"Efficient neural architecture search via parameter sharing","volume-title":"Proc. ICML","author":"Pham"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00257"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01246-5_2"},{"key":"ref7","first-page":"150","article-title":"Efficient progressive neural architecture search","volume-title":"Proc. Brit. Mach. Vis. Conf.","author":"Perezrua"},{"key":"ref8","author":"Wang","year":"2019","journal-title":"AGAN: Towards automated design of generative adversarial networks"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00332"},{"key":"ref10","first-page":"2234","article-title":"Improved techniques for training GANs","volume-title":"Proc. Adv. Neural Inf. Process. Syst. (NeurPIS)","author":"Salimans"},{"key":"ref11","first-page":"6626","article-title":"GANs trained by a two time-scale update rule converge to a local nash equilibrium","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Heusel"},{"key":"ref12","volume-title":"Deeper insights into weight sharing in neural architecture search","author":"Zhang","year":"2020"},{"key":"ref13","volume-title":"To share or not to share: A comprehensive appraisal of weight-sharing","author":"Pourchot","year":"2020"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2021.09.002"},{"key":"ref15","volume-title":"Unsupervised Representation Learning With Deep Convolutional Generative Adversarial Networks","author":"Radford","year":"2016"},{"key":"ref16","first-page":"6","article-title":"Large scale gan training for high fidelity natural image synthesis","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Brock"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00143"},{"key":"ref18","first-page":"9","article-title":"Progressive growing of GANs for improved quality, stability, and variation","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Karras"},{"key":"ref19","first-page":"5767","article-title":"Improved training of wasserstein gans","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Gulrajani"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2019.8683197"},{"key":"ref21","first-page":"214","article-title":"Wasserstein generative adversarial networks","volume-title":"Proc. 34th Int. Conf. Mach. Learn.","author":"Martin Arjovsky"},{"key":"ref22","first-page":"6","article-title":"Energy-based generative adversarial network","volume-title":"Proc. Int. Conf. Learn. Represent. (ICLR)","author":"Zhao"},{"key":"ref23","first-page":"6","article-title":"Neural photo editing with introspective adversarial networks","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Brock"},{"key":"ref24","first-page":"1","article-title":"Spectral normalization for generative adversarial networks","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Miyato"},{"key":"ref25","first-page":"7354","article-title":"Self-attention generative adversarial networks","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Zhang"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00917"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/COGANN.1992.273950"},{"key":"ref28","first-page":"2902","article-title":"Large-scale evolution of image classifiers","volume-title":"Proc. 34th Int. Conf. Mach. Learn.","volume":"70","author":"Real"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33014780"},{"key":"ref30","first-page":"5877","article-title":"The evolved transformer","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"So"},{"key":"ref31","first-page":"9","article-title":"DARTS: Differentiable architecture search","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Liu"},{"key":"ref32","first-page":"7816","article-title":"Neural architecture optimization","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Luo"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.3020300"},{"key":"ref34","first-page":"1","article-title":"SNAS: Stochastic neural architecture search","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Xie"},{"key":"ref35","volume-title":"ProxyLessNas: Direct Neural Architecture Search on Target Task and Hardware","author":"Cai","year":"2019"},{"key":"ref36","volume-title":"Neural architecture search: A survey","author":"Elsken","year":"2018"},{"key":"ref37","volume-title":"A survey on neural architecture search","author":"Wistuba","year":"2019"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00572"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-16692-2_32"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1145\/3321707.3321746"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00533"},{"key":"ref42","first-page":"3460","article-title":"Speeding up automatic hyperparameter optimization of deep neural networks by extrapolation of learning curves","volume-title":"Proc. 24th Int. Joint Conf. Artif. Intell.","author":"Domhan"},{"key":"ref43","volume-title":"Practical neural network performance prediction for early stopping","author":"Baker","year":"2017"},{"key":"ref44","first-page":"6","article-title":"Learning curve prediction with bayesian neural networks","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Klein"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.2969193"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58526-6_39"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2022.3151160"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.2978386"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00467"},{"key":"ref51","first-page":"6","article-title":"LR-GAN: Layered recursive generative adversarial networks for image generation","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Yang"},{"key":"ref52","first-page":"1","article-title":"Improving generative adversarial networks with denoising feature matching","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Wardefarley"},{"key":"ref53","first-page":"1","article-title":"ProbGAN: Towards probabilistic gan with theoretical guarantees","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"He"},{"key":"ref54","volume-title":"Class-splitting generative adversarial networks","author":"Grinblat","year":"2017"},{"key":"ref55","first-page":"9","article-title":"MGAN: Training generative adversarial nets with multiple generators","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Hoang"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01264-9_23"},{"key":"ref57","first-page":"9","article-title":"Improving MMD-GAN training with repulsive loss function","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Wang"},{"key":"ref58","article-title":"Evolution of nervous systems, vol 3, the nervous systems of non-human primates","volume-title":"Quarterly Review of Biology","author":"Tibbetts","year":"2017"}],"container-title":["IEEE Transactions on Cognitive and Developmental Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7274989\/9732511\/09272692.pdf?arnumber=9272692","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,9]],"date-time":"2024-01-09T23:29:45Z","timestamp":1704842985000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9272692\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,3]]},"references-count":58,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.1109\/tcds.2020.3040796","relation":{},"ISSN":["2379-8920","2379-8939"],"issn-type":[{"value":"2379-8920","type":"print"},{"value":"2379-8939","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,3]]}}}