Machine Unlearning for Document Classification
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-70546-5_6
Reference33 articles.
1. Adhikari, A., Ram, A., Tang, R., Lin, J.: Docbert: bert for document classification. arXiv preprint arXiv:1904.08398 (2019)
2. Afzal, M.Z., et al.: Deepdocclassifier: document classification with deep convolutional neural network. In: 2015 13th international conference on document analysis and recognition (ICDAR), pp. 1111–1115. IEEE (2015)
3. Bakkali, S., Ming, Z., Coustaty, M., Rusiñol, M.: Cross-modal deep networks for document image classification. In: 2020 IEEE International Conference on Image Processing (ICIP), pp. 2556–2560. IEEE (2020)
4. Bakkali, S., Ming, Z., Coustaty, M., Rusiñol, M., Terrades, O.R.: Vlcdoc: vision-language contrastive pre-training model for cross-modal document classification. Pattern Recogn. 139, 109419 (2023)
5. Baumhauer, T., Schöttle, P., Zeppelzauer, M.: Machine unlearning: linear filtration for logit-based classifiers. Mach. Learn. 111(9), 3203–3226 (2022)
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