4 citations · 6 across the 5 of their papers we have counts for
Showing cs.LGShow all
2 papers · 1 filter
cs.LG2023★ 1 cited
Revisiting 16-bit Neural Network Training: A Practical Approach for Resource-Limited Learning
Juyoung Yun, Sol Choi, Francois Rameau +2
With the increasing complexity of machine learning models, managing computational resources like memory and processing power has become a critical concern. Mixed precision techniqu…
cs.LG2023★ 1 cited
The Hidden Power of Pure 16-bit Floating-Point Neural Networks
Juyoung Yun, Byungkon Kang, Zhoulai Fu
Lowering the precision of neural networks from the prevalent 32-bit precision has long been considered harmful to performance, despite the gain in space and time. Many works propos…