Recycling: Semi-Supervised Learning With Noisy Labels in Deep Neural Networks
Nowadays, as noisy labels, also known as erroneous labels, are becoming increasingly ubiquitous in daily life, it is of great importance to be able to learn from them. This paper efficiently uses semi-supervised learning to highlight a method for utilizing all training data. The proposed algorithm c...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2019-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8721656/ |