16.2k citations · 16.2k across the 3 of their papers we have counts for
3 papers
cs.AI2022★ 2 cited
Parameter-Efficient Sparsity for Large Language Models Fine-Tuning
Yuchao Li, Fuli Luo, Chuanqi Tan +4
With the dramatically increased number of parameters in language models, sparsity methods have received ever-increasing research focus to compress and accelerate the models. While…
cs.DC2021★ 4 cited
DISC: A Dynamic Shape Compiler for Machine Learning Workloads
Kai Zhu, Wenyi Zhao, Zhen Zheng +8
Many recent machine learning models show dynamic shape characteristics. However, existing AI compiler optimization systems suffer a lot from problems brought by dynamic shape model…
cs.LG2019★ 16.2k cited
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke, Sam Gross, Francisco Massa +18
Deep learning frameworks have often focused on either usability or speed, but not both. PyTorch is a machine learning library that shows that these two goals are in fact compatible…