7 citations · 7 across the 3 of their papers we have counts for
Showing cs.LGShow all
2 papers · 1 filter
cs.LG2026
SNIP: An Adaptive Mixed Precision Framework for Subbyte Large Language Model Training
Yunjie Pan, Yongyi Yang, Hanmei Yang +1
Training large language models (LLMs) efficiently while preserving model quality poses significant challenges, particularly with subbyte precision supported by state-of-the-art GPU…
cs.LG2018★ 7 cited
Rethinking Numerical Representations for Deep Neural Networks
Parker Hill, Babak Zamirai, Shengshuo Lu +9
With ever-increasing computational demand for deep learning, it is critical to investigate the implications of the numeric representation and precision of DNN model weights and act…