3 papers
cs.LG2023
Stabilizing Backpropagation in 16-bit Neural Training with Modified Adam Optimizer
Juyoung Yun
In this research, we address critical concerns related to the numerical instability observed in 16-bit computations of machine learning models. Such instability, particularly when…
cs.LG2023
G-NM: A Group of Numerical Time Series Prediction Models
Juyoung Yun
In this study, we focus on the development and implementation of a comprehensive ensemble of numerical time series forecasting models, collectively referred to as the Group of Nume…
cs.LG2023
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…