{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,8]],"date-time":"2025-09-08T06:33:44Z","timestamp":1757313224458,"version":"3.28.0"},"reference-count":17,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,6,6]],"date-time":"2021-06-06T00:00:00Z","timestamp":1622937600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,6,6]],"date-time":"2021-06-06T00:00:00Z","timestamp":1622937600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,6,6]],"date-time":"2021-06-06T00:00:00Z","timestamp":1622937600000},"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":[[2021,6,6]]},"DOI":"10.1109\/icassp39728.2021.9413441","type":"proceedings-article","created":{"date-parts":[[2021,5,13]],"date-time":"2021-05-13T19:53:45Z","timestamp":1620935625000},"page":"7733-7737","source":"Crossref","is-referenced-by-count":14,"title":["Mixup Regularized Adversarial Networks for Multi-Domain Text Classification"],"prefix":"10.1109","author":[{"given":"Yuan","family":"Wu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Diana","family":"Inkpen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ahmed","family":"El-Roby","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","article-title":"mixup: Beyond empirical risk minimization","author":"zhang","year":"2018","journal-title":"International Conference on Learning Representations"},{"key":"ref11","first-page":"6438","article-title":"Manifold mixup: Better representations by interpolating hidden states","author":"verma","year":"2019","journal-title":"International Conference on Machine Learning"},{"key":"ref12","article-title":"Biographies, bollywood, boom-boxes and blenders: Domain adaptation for sentiment classification","author":"blitzer","year":"2007","journal-title":"Proceedings of the 27th annual meeting on Association for Computational Linguistics -"},{"doi-asserted-by":"publisher","key":"ref13","DOI":"10.18653\/v1\/P17-1001"},{"key":"ref14","article-title":"Efficient estimation of word representations in vector space","author":"mikolov","year":"2013","journal-title":"arXiv preprint arXiv 1301 3781"},{"doi-asserted-by":"publisher","key":"ref15","DOI":"10.1109\/ICDM.2015.68"},{"doi-asserted-by":"publisher","key":"ref16","DOI":"10.18653\/v1\/N18-1111"},{"key":"ref17","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2014","journal-title":"arXiv preprint arXiv 1412 6980"},{"doi-asserted-by":"publisher","key":"ref4","DOI":"10.3390\/info10040150"},{"doi-asserted-by":"publisher","key":"ref3","DOI":"10.1109\/IJCNN.2019.8852388"},{"key":"ref6","article-title":"Domain separation networks","author":"bousmalis","year":"2016","journal-title":"Advances in neural information processing systems"},{"doi-asserted-by":"publisher","key":"ref5","DOI":"10.1609\/aaai.v34i04.6115"},{"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","article-title":"Generative adversarial nets","author":"goodfellow","year":"2014","journal-title":"Advances in Neural Information Proc Systems"},{"doi-asserted-by":"publisher","key":"ref2","DOI":"10.1145\/3137597.3137600"},{"doi-asserted-by":"publisher","key":"ref1","DOI":"10.1016\/j.dss.2010.08.006"},{"key":"ref9","first-page":"9345","article-title":"Co-regularized alignment for unsupervised domain adaptation","author":"kumar","year":"2018","journal-title":"Advances in neural information processing systems"}],"event":{"name":"ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","start":{"date-parts":[[2021,6,6]]},"location":"Toronto, ON, Canada","end":{"date-parts":[[2021,6,11]]}},"container-title":["ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9413349\/9413350\/09413441.pdf?arnumber=9413441","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T15:40:54Z","timestamp":1652197254000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9413441\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,6,6]]},"references-count":17,"URL":"https:\/\/doi.org\/10.1109\/icassp39728.2021.9413441","relation":{},"subject":[],"published":{"date-parts":[[2021,6,6]]}}}