Self-training involving semantic-space finetuning for semi-supervised multi-label document classification
Author:
Funder
Japan Society for the Promotion of Science
Publisher
Springer Science and Business Media LLC
Subject
Library and Information Sciences
Link
https://link.springer.com/content/pdf/10.1007/s00799-023-00355-4.pdf
Reference40 articles.
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3. Xie, Q., et al.: Self-training with noisy student improves imagenet classification. In: CVPR, pp. 10687–10698. (2020)
4. Zou, Y., et al.: Unsupervised domain adaptation for semantic segmentation via class-balanced self-training. In: ECCV Part III, pp. 297–313. (2018)
5. Kong, X., Ng, M.K., Zhou, Z.: Transductive multilabel learning via label set propagation. IEEE Trans. Knowl. Data Eng. 25(3), 704–719 (2011)
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