{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T01:10:06Z","timestamp":1740100206744,"version":"3.37.3"},"reference-count":32,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,7,18]],"date-time":"2021-07-18T00:00:00Z","timestamp":1626566400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,7,18]],"date-time":"2021-07-18T00:00:00Z","timestamp":1626566400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,7,18]],"date-time":"2021-07-18T00:00:00Z","timestamp":1626566400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100010190","name":"GENCI-IDRIS","doi-asserted-by":"publisher","award":["2020-AD011011668"],"award-info":[{"award-number":["2020-AD011011668"]}],"id":[{"id":"10.13039\/501100010190","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,7,18]]},"DOI":"10.1109\/ijcnn52387.2021.9534198","type":"proceedings-article","created":{"date-parts":[[2021,9,22]],"date-time":"2021-09-22T20:32:37Z","timestamp":1632342757000},"page":"1-8","source":"Crossref","is-referenced-by-count":2,"title":["Unsupervised Post-Tuning of Deep Neural Networks"],"prefix":"10.1109","author":[{"given":"Christophe","family":"Cerisara","sequence":"first","affiliation":[]},{"given":"Paul","family":"Caillon","sequence":"additional","affiliation":[]},{"given":"Guillaume","family":"Le Berre","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611974973.55"},{"journal-title":"Text anomaly detection with arae-anogan","year":"2020","author":"yap","key":"ref31"},{"key":"ref30","first-page":"4390","article-title":"Deep one-class classification","author":"ruff","year":"0","journal-title":"International Conference on Machine Learning"},{"key":"ref10","article-title":"SentEval: An evaluation toolkit for universal sentence representations","author":"conneau","year":"2018","journal-title":"Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D17-1070"},{"journal-title":"NLP-progress","year":"2020","author":"ruder","key":"ref12"},{"key":"ref13","article-title":"Neural network acceptability judgments","volume":"abs 1805 12471","author":"warstadt","year":"2018","journal-title":"CoRR"},{"journal-title":"Transformers results","year":"2020","key":"ref14"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/183422.183423"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1398"},{"key":"ref17","doi-asserted-by":"crossref","first-page":"1532","DOI":"10.3115\/v1\/D14-1162","article-title":"GloVe: Global vectors for word representation","author":"pennington","year":"2014","journal-title":"Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP)"},{"key":"ref18","article-title":"A structured self-attentive sentence embedding","author":"lin","year":"2017","journal-title":"5th International Conference on Learning Representations ICLR 2017"},{"journal-title":"Geometry of optimization and implicit regularization in deep learning","year":"2017","author":"neyshabur","key":"ref19"},{"key":"ref28","first-page":"4365","article-title":"Beta-risk: a new surrogate risk for learning from weakly labeled data","author":"zantedeschi","year":"0","journal-title":"Advances in neural information processing systems"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2855437"},{"key":"ref27","article-title":"On the minimal supervision for training any binary classifier from only unlabeled data","author":"lu","year":"2019","journal-title":"7th International Conference on Learning Representations ICLR 2019"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.findings-emnlp.285"},{"key":"ref6","first-page":"3119","article-title":"Unsupervised supervised learning II: Margin-based classification without labels","volume":"12","author":"balasubramanian","year":"2011","journal-title":"Journal of Machine Learning Research"},{"key":"ref29","first-page":"2624","article-title":"Classification with unknown class-conditional label noise on non-compact feature spaces","author":"reeve","year":"2019","journal-title":"Conference on Learning Theory"},{"key":"ref5","first-page":"201","article-title":"Why does unsupervised pre-training help deep learning?","author":"erhan","year":"0","journal-title":"Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics JMLR Workshop and Conference Proceedings"},{"key":"ref8","article-title":"Automatic differentiation in pytorch","author":"paszke","year":"0","journal-title":"Proc of the NIPS Workshop Autodiff"},{"key":"ref7","article-title":"The expressive power of neural networks: A view from the width","volume":"30","author":"lu","year":"2017","journal-title":"Advances in neural information processing systems"},{"journal-title":"A survey on contextual embeddings","year":"2020","author":"liu","key":"ref2"},{"key":"ref9","article-title":"Breast cancer wisconsin (diagnostic) data set","author":"wolberg","year":"1992","journal-title":"UCI Machine Learning Repository"},{"journal-title":"Recent advances in autoencoder-based representation learning","year":"2018","author":"tschannen","key":"ref1"},{"journal-title":"Implicit Regularization in Deep Learning May Not Be Explainable by Norms","year":"2020","author":"razin","key":"ref20"},{"key":"ref22","article-title":"Post-training iterative hierarchical data augmentation for deep networks","volume":"33","author":"khan","year":"2020","journal-title":"Advances in neural information processing systems"},{"journal-title":"Regularization for deep learning A taxonomy","year":"2017","author":"kukacka","key":"ref21"},{"journal-title":"Post Training in Deep Learning with Last Kernel","year":"2017","author":"moreau","key":"ref24"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-41964-6_40"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/JHEP02(2018)034"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2017.2727065"}],"event":{"name":"2021 International Joint Conference on Neural Networks (IJCNN)","start":{"date-parts":[[2021,7,18]]},"location":"Shenzhen, China","end":{"date-parts":[[2021,7,22]]}},"container-title":["2021 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9533266\/9533267\/09534198.pdf?arnumber=9534198","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T15:45:52Z","timestamp":1652197552000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9534198\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,7,18]]},"references-count":32,"URL":"https:\/\/doi.org\/10.1109\/ijcnn52387.2021.9534198","relation":{},"subject":[],"published":{"date-parts":[[2021,7,18]]}}}