{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T05:32:55Z","timestamp":1730266375749,"version":"3.28.0"},"reference-count":22,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,7,1]],"date-time":"2020-07-01T00:00:00Z","timestamp":1593561600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,7,1]],"date-time":"2020-07-01T00:00:00Z","timestamp":1593561600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,7,1]],"date-time":"2020-07-01T00:00:00Z","timestamp":1593561600000},"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":[[2020,7]]},"DOI":"10.1109\/ijcnn48605.2020.9207520","type":"proceedings-article","created":{"date-parts":[[2020,9,29]],"date-time":"2020-09-29T20:40:33Z","timestamp":1601412033000},"page":"1-7","source":"Crossref","is-referenced-by-count":2,"title":["Latent space decomposition into task-specific and domain-specific subspaces for domain adaptation"],"prefix":"10.1109","author":[{"given":"Takaya","family":"Ueda","sequence":"first","affiliation":[]},{"given":"Ikuko","family":"Nishikawa","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","first-page":"2672","article-title":"Generative Adversarial Nets","author":"goodfellow","year":"2014","journal-title":"Advances in neural information processing systems"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.18"},{"key":"ref12","first-page":"1989","article-title":"CyCADA: Cycle-Consistent Adversarial Domain Adaptation","volume":"80","author":"hoffman","year":"2018","journal-title":"Proc 35th Int Conf Mach Learn"},{"key":"ref13","article-title":"Auto-Encoding Variational Bayes","author":"kingma","year":"2014","journal-title":"International Conference on Learning Representations"},{"key":"ref14","article-title":"The variational fair autoencoder","author":"louizos","year":"2016","journal-title":"14th European Conference on Computer Vision"},{"key":"ref15","first-page":"585","article-title":"Controllable invariance through adversarial feature learning","volume":"30","author":"xie","year":"2017","journal-title":"Advances in neural information processing systems"},{"key":"ref16","article-title":"Unsupervised Adversarial Invariance","author":"jaiswal","year":"2018","journal-title":"Advances in neural information processing systems"},{"key":"ref17","first-page":"214","article-title":"Wasserstein Generative Adversarial Networks","volume":"70","author":"arjovsky","year":"2017","journal-title":"Proceedings of the 34th International Conference on Machine Learning"},{"key":"ref18","article-title":"Improved Training of Wasserstein GANs","volume":"30","author":"gulrajani","year":"2017","journal-title":"Advances in neural information processing systems"},{"key":"ref19","first-page":"2579","article-title":"Visualizing data using t-sne","volume":"9","author":"maaten","year":"2008","journal-title":"Journal of Machine Learning Research"},{"key":"ref4","article-title":"Central moment discrepancy (cmd) for domaininvariant representation learning","author":"zellinger","year":"2017","journal-title":"International Conference on Learning Representations"},{"key":"ref3","first-page":"597","article-title":"Deep reconstruction-classification networks for unsupervised domain adaptation","volume":"9908","author":"ghifary","year":"2016","journal-title":"14th European Conference on Computer Vision"},{"key":"ref6","first-page":"723","article-title":"A Kernel Two-Sample Test","volume":"13","author":"gretton","year":"2012","journal-title":"The Journal of Machine Learning Research"},{"key":"ref5","article-title":"Deep domain confusion: Maximizing for domain invariance","author":"tzeng","year":"2014","journal-title":"Preprint arXiv 1412 3474"},{"key":"ref8","first-page":"2096","article-title":"Domain-adversarial training of neural networks","volume":"17","author":"ganin","year":"2016","journal-title":"The Journal of Machine Learning Research"},{"key":"ref7","first-page":"97","article-title":"Learning transferable features with deep adaptation networks","volume":"37","author":"long","year":"2015","journal-title":"Proceedings of the 32Nd International Conference on International Conference on Machine Learning"},{"key":"ref2","first-page":"343","article-title":"Domain separation networks","author":"bousmalis","year":"2016","journal-title":"Advances in neural information processing systems"},{"key":"ref1","first-page":"131","author":"gretton","year":"2009","journal-title":"Covariate shift and local learning by distribution matching"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.316"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"ref22","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2015","journal-title":"International Conference on Learning Representations"},{"key":"ref21","article-title":"Reading Digits in Natural Images with Unsupervised Feature Learning","author":"netzer","year":"2011","journal-title":"NIPS Workshop on Deep Learning and Unsupervised Feature Learning"}],"event":{"name":"2020 International Joint Conference on Neural Networks (IJCNN)","start":{"date-parts":[[2020,7,19]]},"location":"Glasgow, United Kingdom","end":{"date-parts":[[2020,7,24]]}},"container-title":["2020 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9200848\/9206590\/09207520.pdf?arnumber=9207520","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,28]],"date-time":"2022-06-28T17:56:33Z","timestamp":1656438993000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9207520\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,7]]},"references-count":22,"URL":"https:\/\/doi.org\/10.1109\/ijcnn48605.2020.9207520","relation":{},"subject":[],"published":{"date-parts":[[2020,7]]}}}