Papers with vanishing-gradient and overfitting problems

1 papers
Tweet Stance Detection Using an Attention based Neural Ensemble Model (N19-1)

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Challenge: Existing deep learning approaches to stance detection in twitter are inadequate to deal with the vanishing-gradient and overfitting problems.
Approach: They propose a neural ensemble model that adopts strengths of two LSTM variants to learn better long-term dependencies.
Outcome: The proposed model improves on the existing deep learning models on single and multi-target stance detection datasets.

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