{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,10]],"date-time":"2026-02-10T18:36:42Z","timestamp":1770748602230,"version":"3.50.0"},"reference-count":23,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,6,30]],"date-time":"2024-06-30T00:00:00Z","timestamp":1719705600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,6,30]],"date-time":"2024-06-30T00:00:00Z","timestamp":1719705600000},"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":[[2024,6,30]]},"DOI":"10.1109\/ijcnn60899.2024.10650127","type":"proceedings-article","created":{"date-parts":[[2024,9,9]],"date-time":"2024-09-09T17:35:05Z","timestamp":1725903305000},"page":"1-8","source":"Crossref","is-referenced-by-count":2,"title":["UAN: Unsupervised Adaptive Normalization"],"prefix":"10.1109","author":[{"given":"Bilal","family":"Faye","sequence":"first","affiliation":[{"name":"LIPN, UMR CNRS 7030,Villetaneuse,France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hanane","family":"Azzag","sequence":"additional","affiliation":[{"name":"LIPN, UMR CNRS 7030,Villetaneuse,France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mustapha","family":"Lebbah","sequence":"additional","affiliation":[{"name":"DAVID Laboratory,Versailles,France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fangchen","family":"Fang","sequence":"additional","affiliation":[{"name":"L2TI Laboratory,Villetaneuse,France"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","first-page":"9","article-title":"Efficient backprop","volume-title":"Neural networks: Tricks of the trade","author":"LeCun","year":"2002"},{"key":"ref2","first-page":"448","article-title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift","volume-title":"International conference on machine learning","author":"Ioffe"},{"key":"ref3","article-title":"Layer normalization","author":"Ba","year":"2016"},{"key":"ref4","article-title":"Instance normalization: The missing ingredient for fast stylization","author":"Ulyanov","year":"2016"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01261-8_1"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2019.2895781"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.2307\/2984875"},{"key":"ref8","article-title":"CIFAR-10 (canadian institute for advanced research)","author":"Krizhevsky","year":"2009"},{"key":"ref9","article-title":"CIFAR-100 (canadian institute for advanced research)","author":"Krizhevsky","year":"2009"},{"issue":"7","key":"ref10","first-page":"3","article-title":"Tiny imagenet visual recognition challenge","volume":"7","author":"Le","year":"2015","journal-title":"CS 231N"},{"key":"ref11","article-title":"MNIST handwritten digit database","author":"LeCun","year":"2010"},{"key":"ref12","first-page":"3288","article-title":"Convolutional neural networks applied to house numbers digit classification","volume-title":"Proceedings of the 21st international conference on pattern recognition (ICPR2012)","author":"Sermanet"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"ref14","article-title":"Rectified linear units improve restricted boltzmann machines","volume-title":"Proceedings of the 27th International Conference on Machine Learning (ICML-10)","author":"Nair"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4615-7566-5"},{"key":"ref16","article-title":"Fixing weight decay regularization in adam","author":"Loshchilov","year":"2017"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2013.6639349"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-71704-9_65"},{"key":"ref20","article-title":"Adamatch: A unified approach to semi-supervised learning and domain adaptation","author":"Berthelot","year":"2021"},{"key":"ref21","article-title":"Unifying semi-supervised learning and unsupervised domain adaptation with adamatch","author":"Paul","year":"2019"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.5244\/C.30.87"},{"key":"ref23","article-title":"Adam: A method for stochastic optimization","author":"Kingma","year":"2014"}],"event":{"name":"2024 International Joint Conference on Neural Networks (IJCNN)","location":"Yokohama, Japan","start":{"date-parts":[[2024,6,30]]},"end":{"date-parts":[[2024,7,5]]}},"container-title":["2024 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10649807\/10649898\/10650127.pdf?arnumber=10650127","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,10]],"date-time":"2024-09-10T04:45:39Z","timestamp":1725943539000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10650127\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,6,30]]},"references-count":23,"URL":"https:\/\/doi.org\/10.1109\/ijcnn60899.2024.10650127","relation":{},"subject":[],"published":{"date-parts":[[2024,6,30]]}}}