19 citations · 24 across the 2 of their papers we have counts for
3 papers
cs.CV2021★ 5 cited
Students are the Best Teacher: Exit-Ensemble Distillation with Multi-Exits
Hojung Lee, Jong-Seok Lee
This paper proposes a novel knowledge distillation-based learning method to improve the classification performance of convolutional neural networks (CNNs) without a pre-trained tea…
cs.LG2021★ 19 cited
Local Critic Training for Model-Parallel Learning of Deep Neural Networks
Hojung Lee, Cho-Jui Hsieh, Jong-Seok Lee
In this paper, we propose a novel model-parallel learning method, called local critic training, which trains neural networks using additional modules called local critic networks.…
cs.LG2018
Local Critic Training of Deep Neural Networks
Hojung Lee, Jong-seok Lee
This paper proposes a novel approach to train deep neural networks by unlocking the layer-wise dependency of backpropagation training. The approach employs additional modules calle…