{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,6]],"date-time":"2026-03-06T19:00:26Z","timestamp":1772823626046,"version":"3.50.1"},"reference-count":55,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"11","license":[{"start":{"date-parts":[[2022,11,1]],"date-time":"2022-11-01T00:00:00Z","timestamp":1667260800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,11,1]],"date-time":"2022-11-01T00:00:00Z","timestamp":1667260800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,11,1]],"date-time":"2022-11-01T00:00:00Z","timestamp":1667260800000},"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":["61806039"],"award-info":[{"award-number":["61806039"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62073059"],"award-info":[{"award-number":["62073059"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61832001"],"award-info":[{"award-number":["61832001"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100012542","name":"Sichuan Science and Technology Program","doi-asserted-by":"publisher","award":["2020YFG0080"],"award-info":[{"award-number":["2020YFG0080"]}],"id":[{"id":"10.13039\/100012542","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":[[2022,11]]},"DOI":"10.1109\/tnnls.2021.3073119","type":"journal-article","created":{"date-parts":[[2021,5,3]],"date-time":"2021-05-03T20:13:00Z","timestamp":1620072780000},"page":"6263-6274","source":"Crossref","is-referenced-by-count":54,"title":["Adversarial Entropy Optimization for Unsupervised Domain Adaptation"],"prefix":"10.1109","volume":"33","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4815-6704","authenticated-orcid":false,"given":"Ao","family":"Ma","sequence":"first","affiliation":[{"name":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5504-2529","authenticated-orcid":false,"given":"Jingjing","family":"Li","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3456-4993","authenticated-orcid":false,"given":"Ke","family":"Lu","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2993-7142","authenticated-orcid":false,"given":"Lei","family":"Zhu","sequence":"additional","affiliation":[{"name":"School of Information Science and Engineering, Shandong Normal University, Jinan, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2999-2088","authenticated-orcid":false,"given":"Heng Tao","family":"Shen","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China"}]}],"member":"263","reference":[{"key":"ref1","first-page":"3320","article-title":"How transferable are features in deep neural networks?","volume-title":"Proc. NIPS","author":"Yosinski"},{"key":"ref2","article-title":"CyCADA: Cycle-consistent adversarial domain adaptation","volume-title":"arXiv:1711.03213","author":"Hoffman","year":"2017"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2009.191"},{"key":"ref4","article-title":"Learning transferable features with deep adaptation networks","volume-title":"arXiv:1502.02791","author":"Long","year":"2015"},{"key":"ref5","article-title":"Unsupervised domain adaptation by backpropagation","volume-title":"arXiv:1409.7495","author":"Ganin","year":"2014"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2010.2091281"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRev.106.620"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00288"},{"key":"ref9","first-page":"136","article-title":"Unsupervised domain adaptation with residual transfer networks","volume-title":"Proc. NIPS","author":"Long"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00851"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00517"},{"key":"ref12","article-title":"Deep domain confusion: Maximizing for domain invariance","volume-title":"arXiv:1412.3474","author":"Tzeng","year":"2014"},{"key":"ref13","first-page":"1640","article-title":"Conditional adversarial domain adaptation","volume-title":"Proc. NIPS","author":"Long"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00262"},{"key":"ref15","first-page":"529","article-title":"Semi-supervised learning by entropy minimization","volume-title":"Proc. NIPS","author":"Grandvalet"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1002\/j.1538-7305.1948.tb01338.x"},{"issue":"1","key":"ref17","first-page":"2030","article-title":"Domain-adversarial training of neural networks","volume":"17","author":"Ganin","year":"2015","journal-title":"J. Mach. Learn. Res."},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00887"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref20","article-title":"Very deep convolutional networks for large-scale image recognition","volume-title":"arXiv:1409.1556","author":"Simonyan","year":"2014"},{"key":"ref21","first-page":"1097","article-title":"ImageNet classification with deep convolutional neural networks","volume-title":"Proc. NIPS","author":"Krizhevsky"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2018.2820174"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2016.2565898"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2021.3060473"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2016.2631887"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.316"},{"key":"ref28","first-page":"224","article-title":"Generalization and equilibrium in generative adversarial nets (GANs)","volume-title":"Proc. ICML","author":"Arora"},{"key":"ref29","article-title":"Conditional generative adversarial nets","volume-title":"arXiv:1411.1784","author":"Mirza","year":"2014"},{"key":"ref30","first-page":"723","article-title":"A kernel two-sample test","volume":"13","author":"Gretton","year":"2012","journal-title":"J. Mach. Learn. Res."},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.274"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2924174"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2018.2868854"},{"key":"ref34","first-page":"2208","article-title":"Deep transfer learning with joint adaptation networks","volume-title":"Proc. ICML","author":"Long"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.2991050"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-49409-8_35"},{"key":"ref37","first-page":"1","article-title":"Supervised representation learning: Transfer learning with deep autoencoders","volume-title":"Proc. IJCAI","author":"Zhuang"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-009-5152-4"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00234"},{"key":"ref40","first-page":"2672","article-title":"Generative adversarial nets","volume-title":"Proc. NIPS","author":"Goodfellow"},{"key":"ref41","article-title":"Soft actor-critic: Off-policy maximum entropy deep reinforcement learning with a stochastic actor","volume-title":"arXiv:1801.01290","author":"Haarnoja","year":"2018"},{"issue":"1","key":"ref42","first-page":"39","article-title":"A maximum entropy approach to natural language processing","volume":"22","author":"Berger","year":"1996","journal-title":"Comput. Linguistics"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00814"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2019.8852479"},{"key":"ref45","first-page":"2066","article-title":"Geodesic flow kernel for unsupervised domain adaptation","volume-title":"Proc. CVPR","author":"Gong"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00392"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00451"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.01004"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.7551\/mitpress\/7503.003.0022"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-15561-1_16"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.572"},{"key":"ref52","article-title":"VisDA: The visual domain adaptation challenge","volume-title":"arXiv:1710.06924","author":"Peng","year":"2017"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46493-0_36"},{"key":"ref54","first-page":"469","article-title":"Coupled generative adversarial networks","volume-title":"Proc. NIPS","author":"Liu"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1007\/s10479-011-0841-3"}],"container-title":["IEEE Transactions on Neural Networks and Learning Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/5962385\/9931397\/09422154.pdf?arnumber=9422154","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,9]],"date-time":"2024-01-09T23:24:06Z","timestamp":1704842646000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9422154\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,11]]},"references-count":55,"journal-issue":{"issue":"11"},"URL":"https:\/\/doi.org\/10.1109\/tnnls.2021.3073119","relation":{},"ISSN":["2162-237X","2162-2388"],"issn-type":[{"value":"2162-237X","type":"print"},{"value":"2162-2388","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,11]]}}}