Unsupervised feature learning for self-tuning neural networks

Neural Networks, pp. 103-111, 2020.

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Abstract:

In recent years transfer learning has attracted much attention due to its ability to adapt a well-trained model from one domain to another. Fine-tuning is one of the most widely-used methods which exploit a small set of labeled data in the target domain for adapting the network. Including a few methods using the labeled data in the source...More

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