{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,22]],"date-time":"2024-10-22T18:56:43Z","timestamp":1729623403971,"version":"3.28.0"},"reference-count":40,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,7,18]],"date-time":"2022-07-18T00:00:00Z","timestamp":1658102400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,7,18]],"date-time":"2022-07-18T00:00:00Z","timestamp":1658102400000},"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":[[2022,7,18]]},"DOI":"10.1109\/ijcnn55064.2022.9892273","type":"proceedings-article","created":{"date-parts":[[2022,9,30]],"date-time":"2022-09-30T19:56:04Z","timestamp":1664567764000},"page":"1-8","source":"Crossref","is-referenced-by-count":4,"title":["Explainable Supervised Domain Adaptation"],"prefix":"10.1109","author":[{"given":"Vidhya","family":"Kamakshi","sequence":"first","affiliation":[{"name":"Indian Institute of Technology Ropar,Department of Computer Science and Engineering,Rupnagar,Punjab,India,140001"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Narayanan C","family":"Krishnan","sequence":"additional","affiliation":[{"name":"Indian Institute of Technology Palakkad,Department of Data Science,Palakkad,Kerala,India,678557"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","article-title":"Adam: A method for stochastic optimization","volume":"7","author":"kingma","year":"0","journal-title":"International Conference on Learning Representations"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-45529-3_3"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.319"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/JSTSP.2020.2987729"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.387"},{"key":"ref30","first-page":"2048","article-title":"Show, attend and tell: Neural image caption generation with visual attention","author":"xu","year":"0","journal-title":"International Conference on Machine Learning"},{"key":"ref37","article-title":"What is being transferred in transfer learning?","volume":"33","author":"neyshabur","year":"2020","journal-title":"Advances in neural information processing systems"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00093"},{"key":"ref35","doi-asserted-by":"crossref","first-page":"32","DOI":"10.1609\/hcomp.v7i1.5265","article-title":"Interpretable image recognition with hierarchical prototypes","volume":"7","author":"hase","year":"0","journal-title":"Proceedings of the AAAI Conference on Human Computation and Crowdsourcing"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11771"},{"key":"ref10","first-page":"491","article-title":"Attending to discrim-inative certainty for domain adaptation","author":"kurmi","year":"0","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"ref40","article-title":"Caltech-UCSD Birds 200","author":"welinder","year":"2010","journal-title":"California Institute of Technology Tech Rep CNS-TR-2010&#x2013;001"},{"key":"ref11","article-title":"Visualizing transfer learning","author":"szabo","year":"0","journal-title":"ICML Workshop on Human Interpretability in Machine Learning"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01361"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2011.5995702"},{"key":"ref14","first-page":"213","article-title":"Adapting visual category models to new domains","author":"saenko","year":"0","journal-title":"European Conference on Computer Vision"},{"key":"ref15","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":"ref16","first-page":"443","article-title":"Deep coral: Correlation alignment for deep domain adaptation","author":"sun","year":"0","journal-title":"European Conference on Computer Vision"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2019.01.025"},{"key":"ref18","first-page":"7167","article-title":"Adversarial discrim-inative domain adaptation","author":"tzeng","year":"0","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11767"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TAI.2021.3111138"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-015-0816-y"},{"key":"ref27","article-title":"On completeness-aware concept-based explanations in deep neural networks","volume":"33","author":"yeh","year":"2020","journal-title":"Advances in neural information processing systems"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref6","article-title":"The doctor just won't accept that! interpretable ml symposium","volume":"1711","author":"lipton","year":"0","journal-title":"Neural Information Processing Systems"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN52387.2021.9534369"},{"key":"ref5","article-title":"Mitigating uncertainty of classifier for unsupervised domain adaptation","author":"kumar","year":"2021","journal-title":"ArXiv Preprint"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/WACV45572.2020.9093360"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.74"},{"journal-title":"Very Deep ConvNets for Large-Scale Image Recognition CoRR","year":"2014","author":"simonyan","key":"ref2"},{"key":"ref9","first-page":"8928","article-title":"This looks like that: deep learning for interpretable image recognition","author":"chen","year":"2019","journal-title":"Advances in neural information processing systems"},{"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","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.371"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939778"},{"key":"ref21","first-page":"3387","article-title":"Synthesizing the preferred inputs for neurons in neural networks via deep generator networks","author":"nguyen","year":"2016","journal-title":"Advances in neural information processing systems"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/3306618.3314229"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-84060-0_21"},{"key":"ref26","first-page":"9273","article-title":"Towards automatic concept-based explanations","author":"ghorbani","year":"2019","journal-title":"Advances in neural information processing systems"},{"key":"ref25","first-page":"2668","article-title":"Interpretability beyond feature attribution: Quantitative testing with concept activation vectors (TCAV)","volume":"80","author":"kim","year":"0","journal-title":"Proceedings of the International Conference on Machine Learning"}],"event":{"name":"2022 International Joint Conference on Neural Networks (IJCNN)","start":{"date-parts":[[2022,7,18]]},"location":"Padua, Italy","end":{"date-parts":[[2022,7,23]]}},"container-title":["2022 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9891857\/9889787\/09892273.pdf?arnumber=9892273","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,2,21]],"date-time":"2023-02-21T11:45:34Z","timestamp":1676979934000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9892273\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,7,18]]},"references-count":40,"URL":"https:\/\/doi.org\/10.1109\/ijcnn55064.2022.9892273","relation":{},"subject":[],"published":{"date-parts":[[2022,7,18]]}}}