{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,9]],"date-time":"2025-11-09T03:48:43Z","timestamp":1762660123169},"reference-count":80,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Knowl. Data Eng."],"published-print":{"date-parts":[[2021]]},"DOI":"10.1109\/tkde.2021.3114536","type":"journal-article","created":{"date-parts":[[2021,9,22]],"date-time":"2021-09-22T20:21:38Z","timestamp":1632342098000},"page":"1-1","source":"Crossref","is-referenced-by-count":14,"title":["Meta-reweighted Regularization for Unsupervised Domain Adaptation"],"prefix":"10.1109","author":[{"given":"Shuang","family":"Li","sequence":"first","affiliation":[]},{"given":"Wenxuan","family":"Ma","sequence":"additional","affiliation":[]},{"given":"Jinming","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Chi Harold","family":"Liu","sequence":"additional","affiliation":[]},{"given":"Jian","family":"Liang","sequence":"additional","affiliation":[]},{"given":"Guoren","family":"Wang","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/3065386"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2019.2918284"},{"key":"ref3","first-page":"5998","article-title":"Attention is all you need","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","author":"Vaswani"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.18653\/vl\/N19-142"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.3009758"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-009-5152-4"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.7551\/mitpress\/7503.003.0022"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2013.111"},{"key":"ref9","first-page":"97","article-title":"Learning transferable features with deep adaptation networks","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Long"},{"key":"ref10","first-page":"440","article-title":"Biographies, bollywood, boomboxes and blenders: Domain adaptation for sentiment classification","volume-title":"Proc. Annu. Meet. Assoc. Comput. Linguistics","author":"Blitzer"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2009.191"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2016.2551241"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2018.2864732"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2016.2554549"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2839528"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2018.2843342"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i07.6801"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.5555\/2946645.2946704"},{"key":"ref19","first-page":"1647","article-title":"Conditional adversarial domain adaptation","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","author":"Long"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00392"},{"key":"ref21","first-page":"7404","article-title":"Bridging theory and algorithm for domain adaptation","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Zhang"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01247"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2020\/440"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01499"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01219-9_18"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00608"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2019.2962476"},{"key":"ref28","first-page":"5049","article-title":"MixMatch: A holistic approach to semi-supervised learning","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Berthelot"},{"issue":"2","key":"ref29","first-page":"896","article-title":"Pseudo-label: The simple and efficient semi-supervised learning method for deep neural networks","volume-title":"Proc. Workshop Challenges Representation Learn., Int. Conf. Mach. Learn.","volume":"3","author":"Lee"},{"key":"ref30","first-page":"5423","article-title":"Learning semantic representations for unsupervised domain adaptation","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Xie"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1145\/3343031.3351070"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i04.5757"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2016.2538282"},{"key":"ref34","article-title":"Deep domain confusion: Maximizing for domain invariance","author":"Tzeng","year":"2014"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2868685"},{"key":"ref36","first-page":"2208","article-title":"Deep transfer learning with joint adaptation networks","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Long"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.316"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11767"},{"key":"ref39","first-page":"1081","article-title":"Transferability vs. discriminability: Batch spectral penalization for adversarial domain adaptation","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Chen"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.7551\/mitpress\/7503.003.0069"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-49409-8_35"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i04.5745"},{"key":"ref43","first-page":"2672","article-title":"Generative adversarial nets","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","author":"Goodfellow"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2020.2984212"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01424-7_34"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33015613"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.274"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00072"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2005.186"},{"key":"ref50","first-page":"2988","article-title":"Asymmetric tri-training for unsupervised domain adaptation","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Saito"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3079209"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11596"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01257"},{"key":"ref54","first-page":"998","article-title":"MetaReg: Towards domain generalization using meta-regularization","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Balaji"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00049"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00763"},{"key":"ref57","first-page":"4334","article-title":"Learning to reweight examples for robust deep learning","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Ren"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-15561-1_16"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.572"},{"key":"ref60","article-title":"VisDa: The visual domain adaptation challenge","author":"Peng","year":"2017"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.3115\/1610075.1610094"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.5555\/3454287.3455008"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1145\/3065386"},{"key":"ref65","first-page":"7124","article-title":"Towards accurate model selection in deep unsupervised domain adaptation","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"You"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00234"},{"key":"ref67","first-page":"4013","article-title":"Transferable adversarial training: A general approach to adapting deep classifiers","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Liu"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33015345"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00151"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00410"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00835"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00517"},{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00753"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00400"},{"key":"ref75","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00442"},{"key":"ref76","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v30i1.10306"},{"key":"ref77","first-page":"767","article-title":"Marginalized denoising autoencoders for domain adaptation","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Chen"},{"key":"ref78","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2018.2837085"},{"key":"ref79","first-page":"2825","article-title":"Scikit-learn: Machine learning in python","volume":"12","author":"Pedregosa","year":"2011","journal-title":"J. Mach. Learn. Res."},{"key":"ref80","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"}],"container-title":["IEEE Transactions on Knowledge and Data Engineering"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/69\/4358933\/09546671.pdf?arnumber=9546671","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,11]],"date-time":"2024-01-11T23:43:28Z","timestamp":1705016608000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9546671\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"references-count":80,"URL":"https:\/\/doi.org\/10.1109\/tkde.2021.3114536","relation":{},"ISSN":["1041-4347","1558-2191","2326-3865"],"issn-type":[{"value":"1041-4347","type":"print"},{"value":"1558-2191","type":"electronic"},{"value":"2326-3865","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021]]}}}