Papers by Samridhi Choudhary

    2 papers
    Deep Neural Model Inspection and Comparison via Functional Neuron Pathways (P19-1)

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    Challenge: a general method for the interpretation and comparison of neural models is proposed . we factor a complex neural model into its functional components .
    Approach: They propose a method that factored a complex neural model into its functional components . they use correlated task level and linguistic heuristics to identify correlated pathways .
    Outcome: The proposed method can be applied in a purely post-processing manner to understand neural models.
    Extreme Model Compression for On-device Natural Language Understanding (2020.coling-industry)

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    Challenge: Xu and Sarikaya et al., 2014) perform word-embedding compression with NLU task learning . their approach achieves a compression rate of 97.4% with less than 3.7% degradation in predictive performance.
    Approach: They propose a task-aware, end-to-end compression approach that performs word-embedding compression with NLU task learning.
    Outcome: The proposed approach outperforms baselines and achieves 97.4% compression rate with less than 3.7% degradation in predictive performance.

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