{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,2]],"date-time":"2026-06-02T18:34:59Z","timestamp":1780425299485,"version":"3.54.1"},"reference-count":22,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,10,5]],"date-time":"2025-10-05T00:00:00Z","timestamp":1759622400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,10,5]],"date-time":"2025-10-05T00:00:00Z","timestamp":1759622400000},"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":[[2025,10,5]]},"DOI":"10.1109\/smc58881.2025.11342706","type":"proceedings-article","created":{"date-parts":[[2026,1,28]],"date-time":"2026-01-28T20:54:44Z","timestamp":1769633684000},"page":"5907-5911","source":"Crossref","is-referenced-by-count":1,"title":["ETAGE: Enhanced Test Time Adaptation with Integrated Entropy and Gradient Norms for Robust Model Performance"],"prefix":"10.1109","author":[{"given":"Afshar","family":"Shamsi","sequence":"first","affiliation":[{"name":"Concordia University,Concordia Institute of Information Systems Engineering,Montreal,Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rejisa","family":"Becirovic","sequence":"additional","affiliation":[{"name":"UNSW Sydney,School of Biomedical Engineering,Sydney,Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ahmadreza","family":"Argha","sequence":"additional","affiliation":[{"name":"UNSW Sydney,School of Biomedical Engineering,Sydney,Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ehsan","family":"Abbasnejad","sequence":"additional","affiliation":[{"name":"Monash University,Reasoning,Department of Data Science and AI,Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hamid","family":"Alinejad-Rokny","sequence":"additional","affiliation":[{"name":"UNSW Sydney,School of Biomedical Engineering,Sydney,Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Arash","family":"Mohammadi","sequence":"additional","affiliation":[{"name":"Concordia University,Concordia Institute of Information Systems Engineering,Montreal,Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3054306"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2023.106248"},{"key":"ref3","article-title":"Very deep convolutional networks for large-scale image recognition","author":"Simonyan","year":"2014"},{"key":"ref4","article-title":"Confidence aware neural networks for skin cancer detection","author":"Khaledyan","year":"2021"},{"key":"ref5","first-page":"5637","article-title":"Wilds: A benchmark of in-the-wild distribution shifts","volume-title":"International conference on machine learning","author":"Koh"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2009.191"},{"key":"ref7","article-title":"Do cifar-10 classifiers generalize to cifar-10?","author":"Recht","year":"2018"},{"key":"ref8","first-page":"1180","article-title":"Unsupervised domain adaptation by backpropagation","volume-title":"International conference on machine learning","author":"Ganin"},{"key":"ref9","article-title":"Joint contrastive learning for unsupervised domain adaptation","author":"Park","year":"2020"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00835"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/WACV51458.2022.00266"},{"key":"ref12","article-title":"Tent: Fully test-time adaptation by entropy minimization","author":"Wang","year":"2020"},{"key":"ref13","first-page":"16888","article-title":"Efficient test-time model adaptation without forgetting","volume-title":"International conference on machine learning","author":"Niu"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1611835114"},{"key":"ref15","article-title":"Towards stable test-time adaptation in dynamic wild world","author":"Niu","year":"2023"},{"key":"ref16","article-title":"Visualizing the loss landscape of neural nets","volume":"31","author":"Li","year":"2018","journal-title":"Advances in neural information processing systems"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01270-0_28"},{"key":"ref18","article-title":"Entropy is not enough for test-time adaptation: From the perspective of disentangled factors","author":"Lee","year":"2024"},{"key":"ref19","article-title":"Openclip","author":"Ilharco","year":"2021"},{"key":"ref20","article-title":"Learning transferable visual models from natural language supervision","volume-title":"Int, Conference on Machine Learning (ICML)","author":"Radford"},{"key":"ref21","article-title":"Learning multiple layers of features from tiny images","author":"Krizhevsky","year":"2009"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v39i15.33790"}],"event":{"name":"2025 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","location":"Vienna, Austria","start":{"date-parts":[[2025,10,5]]},"end":{"date-parts":[[2025,10,8]]}},"container-title":["2025 IEEE International Conference on Systems, Man, and Cybernetics (SMC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11342430\/11342431\/11342706.pdf?arnumber=11342706","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,2,11]],"date-time":"2026-02-11T20:51:43Z","timestamp":1770843103000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11342706\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10,5]]},"references-count":22,"URL":"https:\/\/doi.org\/10.1109\/smc58881.2025.11342706","relation":{},"subject":[],"published":{"date-parts":[[2025,10,5]]}}}