Papers with data aggregation method

1 papers
Robust Text Classifier on Test-Time Budgets (D19-1)

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Challenge: Recent advances in deep neural networks (DNNs) achieve high accuracy on many text classification tasks.
Approach: They propose a generic framework for learning a robust text classification model . they use a data aggregation method to train the classifier on a large corpus of text .
Outcome: The proposed framework achieves consistent speedup with little degradation in accuracy on four benchmark text classification tasks.

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