{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,31]],"date-time":"2025-10-31T07:28:19Z","timestamp":1761895699238,"version":"build-2065373602"},"reference-count":25,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,6,30]],"date-time":"2025-06-30T00:00:00Z","timestamp":1751241600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,6,30]],"date-time":"2025-06-30T00:00:00Z","timestamp":1751241600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,6,30]]},"DOI":"10.1109\/icme59968.2025.11209309","type":"proceedings-article","created":{"date-parts":[[2025,10,30]],"date-time":"2025-10-30T17:57:42Z","timestamp":1761847062000},"page":"1-6","source":"Crossref","is-referenced-by-count":0,"title":["Perturbing Confounders via Causal Disentanglement for Domain Generalization"],"prefix":"10.1109","author":[{"given":"Jingliang","family":"Bian","sequence":"first","affiliation":[{"name":"Chinese Academy of Sciences,Shenzhen Institutes of Advanced Technology,Shenzhen,China"}]},{"given":"Junhao","family":"Li","sequence":"additional","affiliation":[{"name":"Southern University of Science and Technology,Shenzhen,China"}]},{"given":"Jian","family":"Xu","sequence":"additional","affiliation":[{"name":"Guangdong Polytechnic Normal University,Guangzhou,China"}]},{"given":"Ruxin","family":"Wang","sequence":"additional","affiliation":[{"name":"Chinese Academy of Sciences,Shenzhen Institutes of Advanced Technology,Shenzhen,China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2022.3178128"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i8.16829"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00158"},{"key":"ref4","first-page":"7313","article-title":"Domain generalization using causal matching","volume-title":"Proceedings of the International Conference on Machine Learning","author":"Mahajan"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i7.20703"},{"article-title":"Auto-encoding variational bayes","year":"2013","author":"Kingma","key":"ref6"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.5555\/2969033.2969125"},{"key":"ref8","first-page":"23664","article-title":"Adaptive risk minimization: Learning to adapt to domain shift","volume-title":"Proceedings of the Neural Information Processing Systems","volume":"34","author":"Zhang"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00128"},{"article-title":"Uncertainty modeling for out-of-distribution generalization","volume-title":"Proceedings of the International Conference on Learning Representations","author":"Li","key":"ref10"},{"key":"ref11","article-title":"Implicit semantic data augmentation for deep networks","volume-title":"Proceedings of the Neural Information Processing Systems","volume":"32","author":"Wang"},{"article-title":"Invariant risk minimization","year":"2019","author":"Arjovsky","key":"ref12"},{"article-title":"Distributionally robust neural networks for group shifts: On the importance of regularization for worst-case generalization","year":"2019","author":"Sagawa","key":"ref13"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i04.6123"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11596"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-49409-8_35"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00566"},{"issue":"59","key":"ref18","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":"ref19","first-page":"624","article-title":"Deep domain generalization via conditional invariant adversarial networks","volume-title":"Proceedings of the European Conference on Computer Vision","author":"Li"},{"issue":"2","key":"ref20","first-page":"1","article-title":"Domain generalization by marginal transfer learning","volume":"22","author":"Blanchard","year":"2021","journal-title":"Journal of Machine Learning Research"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00858"},{"key":"ref22","first-page":"5815","article-title":"Out-of-distribution generalization via risk extrapolation (rex)","volume-title":"Proceedings of the International Conference on Machine Learning","author":"Krueger"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58536-5_8"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00367"},{"key":"ref25","article-title":"Madg: margin-based adversarial learning for domain generalization","volume-title":"Proceedings of the Neural Information Processing Systems","volume":"36","author":"Dayal"}],"event":{"name":"2025 IEEE International Conference on Multimedia and Expo (ICME)","start":{"date-parts":[[2025,6,30]]},"location":"Nantes, France","end":{"date-parts":[[2025,7,4]]}},"container-title":["2025 IEEE International Conference on Multimedia and Expo (ICME)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11208895\/11208897\/11209309.pdf?arnumber=11209309","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,31]],"date-time":"2025-10-31T05:56:11Z","timestamp":1761890171000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11209309\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,6,30]]},"references-count":25,"URL":"https:\/\/doi.org\/10.1109\/icme59968.2025.11209309","relation":{},"subject":[],"published":{"date-parts":[[2025,6,30]]}}}