Interpolation consistency training for semi-supervised learning
- DOI
- 10.1016/j.neunet.2021.10.008
- Published
- 2022-01
- Container
- Neural Networks
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.neunet.2021.10.008,
title = {Interpolation consistency training for semi-supervised learning},
author = {Vikas Verma and Kenji Kawaguchi and Alex Lamb and Juho Kannala and Arno Solin and Yoshua Bengio and David Lopez-Paz},
year = {2022},
journal = {Neural Networks},
doi = {10.1016/j.neunet.2021.10.008},
url = {https://doi.org/10.1016/j.neunet.2021.10.008}
}RIS
TY - JOUR TI - Interpolation consistency training for semi-supervised learning AU - Vikas Verma AU - Kenji Kawaguchi AU - Alex Lamb AU - Juho Kannala AU - Arno Solin AU - Yoshua Bengio AU - David Lopez-Paz PY - 2022 JO - Neural Networks DO - 10.1016/j.neunet.2021.10.008 UR - https://doi.org/10.1016/j.neunet.2021.10.008 ER -
APA
Verma, V., Kawaguchi, K., Lamb, A., Kannala, J., Solin, A., Bengio, Y., & Lopez-Paz, D. (2022). Interpolation consistency training for semi-supervised learning. Neural Networks. https://doi.org/10.1016/j.neunet.2021.10.008
Source records
- crossref · retrieved 2026-11-10T13:38:32.183Z