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most citedSparse*BERT: Sparse Models Generalize To New tasks and Domains

4 citations · 8 across the 8 of their papers we have counts for

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cs.CL2023

oBERTa: Improving Sparse Transfer Learning via improved initialization, distillation, and pruning regimes

Daniel Campos, Alexandre Marques, Mark Kurtz +1

In this paper, we introduce the range of oBERTa language models, an easy-to-use set of language models which allows Natural Language Processing (NLP) practitioners to obtain betwee…