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About Label Propagation For Deep Semi-Supervised Learning
Label propagation is a graph-based semi-supervised learning method that uses unlabeled data to infer pseudo-labels. The paper proposes alternating between training a neural network using labeled and pseudo-labeled data, and using the network's embeddings to construct a nearest neighbor graph for label propagation to infer new pseudo-labels. Experimental results show improved performance over other semi-supervised methods, especially with few labeled examples.
Detailed Information
| Author: | ['Tao Fu'] |
|---|---|
| Publication Year: | 2021 |
| Pages: | 10 |
| Language: | English |
| Format: | |
| Price: | FREE |
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