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Supervised and weakly supervised deep learning models for COVID-19 CT diagnosis: A systematic review
Computer Methods and Programs in Biomedicine, 2022Muazzam A Khan +2 more
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Unlearning from Weakly Supervised Learning.
Machine unlearning provides users with the right to remove their privacy data from a well-trained model. Existing approaches of machine unlearning mainly focus on exploring data removing within supervised learning (SL) tasks. However, weakly supervised learning (WSL) is more applicable to realworld scenarios since collecting WSL data is less laborious ...Tang, Yi +5 more
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Text Recognition Based on Weakly Supervised Learning
Proceedings of the 2023 International Conference on Frontiers of Artificial Intelligence and Machine Learning, 2023Aiguo Chen, Ming Jie Zou, Xiang Yu Zhang
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A multi-strategy contrastive learning framework for weakly supervised semantic segmentation
Pattern Recognition, 2023Hui Fang, Yu-Kun Lai, Gerald Schaefer
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Weakly Supervised Learning for Network Traffic Classification
2022 IEEE International Conference on Networking, Architecture and Storage (NAS), 2022Onur Barut, Tong Zhang, Peilong Li
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Weakly supervised semantic segmentation via self-supervised destruction learning
Neurocomputing, 2023Xu Wang, Jianmin Jiang, Li Jinlong
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A brief introduction to weakly supervised learning
National Science Review, 2018Zhi-Hua Zhou, Zhou Zhi-Hua
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Weakly Supervised Machine Learning for Cyberbullying Detection.
2019Doctor of ...
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Constrained-CNN losses for weakly supervised segmentation
Medical Image Analysis, 2019Eric Granger, Yuri Boykov, JOSÉ Dolz
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