{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,18]],"date-time":"2026-03-18T13:25:38Z","timestamp":1773840338866,"version":"3.50.1"},"publisher-location":"California","reference-count":0,"publisher":"International Joint Conferences on Artificial Intelligence Organization","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019,8]]},"abstract":"<jats:p>We introduce Interpolation Consistency Training (ICT), a simple and computation efficient algorithm for  training  Deep  Neural  Networks  in  the  semi-supervised learning paradigm. ICT encourages the prediction at an interpolation of unlabeled points to be consistent with the interpolation of the predictions at those points. In classification problems, ICT moves the decision boundary to low-density regions of the data distribution. Our experiments show that ICT achieves state-of-the-art performance when applied to standard neural network architectures on the CIFAR-10 and SVHN benchmark dataset.<\/jats:p>","DOI":"10.24963\/ijcai.2019\/504","type":"proceedings-article","created":{"date-parts":[[2019,7,28]],"date-time":"2019-07-28T07:46:05Z","timestamp":1564299965000},"page":"3635-3641","source":"Crossref","is-referenced-by-count":261,"title":["Interpolation Consistency Training for Semi-supervised Learning"],"prefix":"10.24963","author":[{"given":"Vikas","family":"Verma","sequence":"first","affiliation":[{"name":"Aalto University, Finland"},{"name":"Montreal Institute for Learning Algorithms (MILA)"}]},{"given":"Alex","family":"Lamb","sequence":"additional","affiliation":[{"name":"Montreal Institute for Learning Algorithms (MILA)"}]},{"given":"Juho","family":"Kannala","sequence":"additional","affiliation":[{"name":"Aalto University, Finland"}]},{"given":"Yoshua","family":"Bengio","sequence":"additional","affiliation":[{"name":"Montreal Institute for Learning Algorithms (MILA)"}]},{"given":"David","family":"Lopez-Paz","sequence":"additional","affiliation":[{"name":"Facebook Artificial Intelligence Research (FAIR)"}]}],"member":"10584","event":{"name":"Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}","theme":"Artificial Intelligence","location":"Macao, China","acronym":"IJCAI-2019","number":"28","sponsor":["International Joint Conferences on Artificial Intelligence Organization (IJCAI)"],"start":{"date-parts":[[2019,8,10]]},"end":{"date-parts":[[2019,8,16]]}},"container-title":["Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence"],"original-title":[],"deposited":{"date-parts":[[2019,7,28]],"date-time":"2019-07-28T07:49:46Z","timestamp":1564300186000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.ijcai.org\/proceedings\/2019\/504"}},"subtitle":[],"proceedings-subject":"Artificial Intelligence Research Articles","short-title":[],"issued":{"date-parts":[[2019,8]]},"references-count":0,"URL":"https:\/\/doi.org\/10.24963\/ijcai.2019\/504","relation":{},"subject":[],"published":{"date-parts":[[2019,8]]}}}