Техники сжатия моделей

method ID: modelcompressiontechniques

Related Papers

BinaryBERT: Pushing the Limit of BERT Quantization

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractThe rapid development of large pre-trained language models has greatly increased the demand for model compression techniques, among which quantization is a popular solution. In this paper, we propose BinaryBERT, …...

8449

Classification-based Quality Estimation: Small and Efficient Models for Real-world Applications

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractSentence-level Quality estimation (QE) of machine translation is traditionally formulated as a regression task, and the performance of QE models is typically measured by Pearson correlation with human labels. Recent …...

31621