{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T01:43:16Z","timestamp":1730252596214,"version":"3.28.0"},"reference-count":30,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,10,30]],"date-time":"2020-10-30T00:00:00Z","timestamp":1604016000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,10,30]],"date-time":"2020-10-30T00:00:00Z","timestamp":1604016000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,10,30]],"date-time":"2020-10-30T00:00:00Z","timestamp":1604016000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,10,30]]},"DOI":"10.1109\/icnsc48988.2020.9238125","type":"proceedings-article","created":{"date-parts":[[2020,11,4]],"date-time":"2020-11-04T16:14:02Z","timestamp":1604506442000},"page":"1-6","source":"Crossref","is-referenced-by-count":0,"title":["Adversarial Transform Networks for Unsupervised Transfer Learning"],"prefix":"10.1109","author":[{"given":"Guanyu","family":"Cai","sequence":"first","affiliation":[]},{"given":"Yuqin","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Lianghua","family":"He","sequence":"additional","affiliation":[]},{"given":"Mengchu","family":"Zhou","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref30","volume":"abs 1603 4779","author":"li","year":"2016","journal-title":"Revisiting Batch Normalization For Practical Domain Adaptation"},{"journal-title":"Distilling the knowledge in a neural network","year":"2015","author":"hinton","key":"ref10"},{"key":"ref11","first-page":"1205","article-title":"Optimal kernel choice for large-scale two-sample tests","author":"gretton","year":"2012","journal-title":"Advances in neural information processing systems"},{"key":"ref12","first-page":"97","article-title":"Learning transferable features with deep adaptation networks","author":"long","year":"2015","journal-title":"International Conference on Machine Learning"},{"key":"ref13","first-page":"2672","article-title":"Generative adversarial nets","author":"goodfellow","year":"2014","journal-title":"Advances in neural information processing systems"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.463"},{"key":"ref15","first-page":"1","article-title":"Domain-adversarial training of neural networks","volume":"17","author":"ganin","year":"2016","journal-title":"Journal of Machine Learning Research"},{"key":"ref16","doi-asserted-by":"crossref","first-page":"2962","DOI":"10.1109\/CVPR.2017.316","article-title":"Adversarial discriminative domain adaptation","author":"tzeng","year":"2017","journal-title":"2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)"},{"key":"ref17","first-page":"469","article-title":"Coupled generative adversarial networks","author":"liu","year":"2016","journal-title":"Advances in neural information processing systems"},{"key":"ref18","first-page":"7","article-title":"Unsupervised pixel-level domain adaptation with generative adversarial networks","volume":"1","author":"bousmalis","year":"2017","journal-title":"The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)"},{"key":"ref19","first-page":"1391","article-title":"A least-squares approach to direct importance estimation","volume":"10","author":"kanamori","year":"2009","journal-title":"Journal of Machine Learning Research"},{"key":"ref28","volume":"abs 1611 2200","author":"taigman","year":"2016","journal-title":"Unsupervised cross-domain image generation"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-009-5152-4"},{"key":"ref27","first-page":"214","article-title":"Wasserstein generative adversarial networks","author":"arjovsky","year":"2017","journal-title":"International Conference on Machine Learning"},{"key":"ref3","first-page":"3320","article-title":"How transferable are features in deep neural networks?","author":"yosinski","year":"2014","journal-title":"Advances in neural information processing systems"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2014.2330900"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298600"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2009.191"},{"key":"ref8","first-page":"2066","article-title":"Geodesic flow kernel for unsupervised domain adaptation","author":"gong","year":"2012","journal-title":"Computer Vision and Pattern Recognition (CVPR)"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2010.2091281"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2014.2373376"},{"key":"ref1","first-page":"1097","article-title":"Imagenet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Advances in neural information processing systems"},{"key":"ref20","first-page":"1433","article-title":"Direct importance estimation with model selection and its application to covariate shift adaptation","author":"sugiyama","year":"2008","journal-title":"Advances in neural information processing systems"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2615921"},{"key":"ref21","first-page":"2058","article-title":"Return of frustratingly easy domain adaptation","author":"sun","year":"2016","journal-title":"Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence AAAI'16"},{"key":"ref24","article-title":"Central moment discrepancy (CMD) for domain-invariant representation learning","author":"zellinger","year":"2017","journal-title":"International Conference on Learning Representations"},{"key":"ref23","first-page":"647","article-title":"Decaf: A deep convolutional activation feature for generic visual recognition","author":"donahue","year":"2014","journal-title":"International Conference on Machine Learning"},{"key":"ref26","first-page":"513","article-title":"Domain adaptation for large-scale sentiment classification: A deep learning approach","author":"glorot","year":"2011","journal-title":"Proceedings of the 28th International Conference on Machine Learning (ICML-11)"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2005.202"}],"event":{"name":"2020 IEEE International Conference on Networking, Sensing and Control (ICNSC)","start":{"date-parts":[[2020,10,30]]},"location":"Nanjing, China","end":{"date-parts":[[2020,11,2]]}},"container-title":["2020 IEEE International Conference on Networking, Sensing and Control (ICNSC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9238048\/9238049\/09238125.pdf?arnumber=9238125","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,27]],"date-time":"2022-06-27T20:26:32Z","timestamp":1656361592000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9238125\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,10,30]]},"references-count":30,"URL":"https:\/\/doi.org\/10.1109\/icnsc48988.2020.9238125","relation":{},"subject":[],"published":{"date-parts":[[2020,10,30]]}}}