Papers by Durga Sivasubramanian

1 papers
Partitioned Gradient Matching-based Data Subset Selection for Compute-Efficient Robust ASR Training (2022.findings-emnlp)

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Challenge: Existing DSS algorithms for RNN-T have a high cost and performance degradation.
Approach: They propose a distributable DSS algorithm for RNN-T that can be used to train a subset of training data.
Outcome: The proposed algorithm achieves between 3x to 6x speedup with only a small accuracy degradation even in settings where the training data is corrupted with noise.

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