{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,8]],"date-time":"2026-03-08T01:48:06Z","timestamp":1772934486199,"version":"3.50.1"},"reference-count":20,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,12,8]],"date-time":"2025-12-08T00:00:00Z","timestamp":1765152000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,12,8]],"date-time":"2025-12-08T00:00:00Z","timestamp":1765152000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001665","name":"French National Research Agency (ANR) as part of the 'PEPR IA France 2030' programme (Emergences project)","doi-asserted-by":"publisher","award":["ANR-23-PEIA-0002"],"award-info":[{"award-number":["ANR-23-PEIA-0002"]}],"id":[{"id":"10.13039\/501100001665","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,12,8]]},"DOI":"10.1109\/bigdata66926.2025.11401515","type":"proceedings-article","created":{"date-parts":[[2026,3,6]],"date-time":"2026-03-06T20:57:57Z","timestamp":1772830677000},"page":"5132-5141","source":"Crossref","is-referenced-by-count":0,"title":["Leveraging Brain Inspired Principles for Data Efficient Multimodal Learning"],"prefix":"10.1109","author":[{"given":"Jonathan","family":"Grienay","sequence":"first","affiliation":[{"name":"Univ. Grenoble Alpes, CEA, LIST,Grenoble,France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Marina","family":"Reyboz","sequence":"additional","affiliation":[{"name":"Univ. Grenoble Alpes, CEA, LIST,Grenoble,France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Martial","family":"Mermillod","sequence":"additional","affiliation":[{"name":"Univ. Grenoble Alpes, Univ. Savoie Mont Blanc, CNRS, LPNC,Grenoble,France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Laurent","family":"Rodriguez","sequence":"additional","affiliation":[{"name":"LEAT, Université Côte d'Azur \/ CNRS UMR 7248,Sophia Antipolis,France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Benoit","family":"Miramond","sequence":"additional","affiliation":[{"name":"LEAT, Université Côte d'Azur \/ CNRS UMR 7248,Sophia Antipolis,France"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/5.58325"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.3389\/fnint.2013.00063"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.3390\/electronics9101605"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN54540.2023.10191701"},{"key":"ref5","volume-title":"Organization of behavior","author":"Hebb","year":"1949"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2798607"},{"key":"ref7","article-title":"Learning transferable visual models from natural language supervision","author":"Radford","year":"2021","journal-title":"arXiv preprint arXiv"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1017\/S0140525X99002149"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1146\/annurev.psych.59.103006.093639"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.79.8.2554"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/3377930.3389817"},{"key":"ref12","article-title":"Decoupled weight decay regularization","volume-title":"International Conference on Learning Representations","author":"Loshchilov"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.123"},{"key":"ref14","article-title":"Mnist handwritten digit database","volume":"2","author":"LeCun","year":"2010","journal-title":"ATT Labs"},{"key":"ref15","volume-title":"Written and spoken digits database for multimodal learning","author":"Khacef","year":"2020"},{"key":"ref16","volume-title":"Fashion-mnist: a novel image dataset for benchmarking machine learning algorithms","author":"Xiao","year":"2017"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/2733373.2806390"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-015-0816-y"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2020.3030497"}],"event":{"name":"2025 IEEE International Conference on Big Data (BigData)","location":"Macau, China","start":{"date-parts":[[2025,12,8]]},"end":{"date-parts":[[2025,12,11]]}},"container-title":["2025 IEEE International Conference on Big Data (BigData)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11400704\/11400712\/11401515.pdf?arnumber=11401515","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,7]],"date-time":"2026-03-07T07:09:22Z","timestamp":1772867362000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11401515\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,12,8]]},"references-count":20,"URL":"https:\/\/doi.org\/10.1109\/bigdata66926.2025.11401515","relation":{},"subject":[],"published":{"date-parts":[[2025,12,8]]}}}