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Towards Explainability in NLP: Analyzing and Calculating Word Saliency through Word Properties
These properties may have certain relationships with the word saliency, which is of great help for studying the explainability of the model predictions.
A Practical Cross-Device Federated Learning Framework over 5G Networks
The concept of federated learning (FL) was first proposed by Google in 2016.
Verification Code Recognition Based on Active and Deep Learning
However, the advantages of convolutional neural networks depend on the data used by the training classifier, particularly the size of the training set.
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