In this paper, we propose to use text editing for improving knowledge distillation. We compare the effectiveness of random insertion, swap, deletion and ...
Our experimental results show that text editing is a simple yet effective data augmentation technique for knowledge distillation. Our distilled model augmented ...
In this paper, we propose to use text editing for improving knowledge distillation. We compare the effectiveness of random insertion, swap, deletion and ...
This paper compares the effectiveness of random insertion, swap, deletion and synonym replacement in sentiment classification tasks and shows that text ...
Large scale text-guided diffusion models have garnered significant attention due to their ability to synthesize diverse images that convey complex visual ...
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Textbrewer is designed for the knowledge distillation of NLP models. It provides various distillation methods and offers a distillation framework for quickly ...
Sep 22, 2024 · DistilBERT maintains 97% of BERT's language understanding capabilities while being 40% small and 60% faster.
Missing: Editing | Show results with:Editing
Data augmentation entails artificially expanding the dataset's size by applying various transformations to the existing raw data.
Sep 6, 2022 · The article summarizes eight papers carefully selected from many papers related to BERT knowledge distillation.