15 citations · 48 across the 8 of their papers we have counts for
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cs.SE2022★ 1 cited
Decomposing a Recurrent Neural Network into Modules for Enabling Reusability and Replacement
Sayem Mohammad Imtiaz, Fraol Batole, Astha Singh +3
Can we take a recurrent neural network (RNN) trained to translate between languages and augment it to support a new natural language without retraining the model from scratch? Can…
cs.SE2022★ 1 cited
An Empirical Study on the Bugs Found while Reusing Pre-trained Natural Language Processing Models
Rangeet Pan, Sumon Biswas, Mohna Chakraborty +2
In NLP, reusing pre-trained models instead of training from scratch has gained popularity; however, NLP models are mostly black boxes, very large, and often require significant res…