Ankush Chatterjee

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—In this work we use the recent advances in representation learning to propose a neural architecture for the problem of natural language inference. Our approach is aligned to mimic how a human does the natural language inference process given two statements. The model uses variants of Long Short Term Memory (LSTM), attention mechanism and composable neural(More)
Misclassification, which is a common phenomenon due to the absence of a perfect classifier, incurs losses from different classes. This paper aims on developing an algorithm which incorporates a cost sensitive subspace reduction technique for extracting the cost sensitive features from facial images of test subjects. The weight vector which projects the(More)
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