2 papers
cs.LG2025
Stochastic Gradient Sampling for Enhancing Neural Networks Training
Juyoung Yun
In this paper, we introduce StochGradAdam, a novel optimizer designed as an extension of the Adam algorithm, incorporating stochastic gradient sampling techniques to improve comput…
cs.LG2024
Robust Neural Pruning with Gradient Sampling Optimization for Residual Neural Networks
Juyoung Yun
This research embarks on pioneering the integration of gradient sampling optimization techniques, particularly StochGradAdam, into the pruning process of neural networks. Our main…