13 citations · 15 across the 2 of their papers we have counts for
3 papers
cs.LG2023★ 2 cited
Balanced Group Convolution: An Improved Group Convolution Based on Approximability Estimates
Youngkyu Lee, Jongho Park, Chang-Ock Lee
The performance of neural networks has been significantly improved by increasing the number of channels in convolutional layers. However, this increase in performance comes with a…
cs.LG2021★ 13 cited
Two-level Group Convolution
Youngkyu Lee, Jongho Park, Chang-Ock Lee
Group convolution has been widely used in order to reduce the computation time of convolution, which takes most of the training time of convolutional neural networks. However, it i…
math.NA2021
Parareal Neural Networks Emulating a Parallel-in-time Algorithm
Chang-Ock Lee, Youngkyu Lee, Jongho Park
As deep neural networks (DNNs) become deeper, the training time increases. In this perspective, multi-GPU parallel computing has become a key tool in accelerating the training of D…