45 citations · 77 across the 7 of their papers we have counts for
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cs.LG2021★ 9 cited
GST: Group-Sparse Training for Accelerating Deep Reinforcement Learning
Juhyoung Lee, Sangyeob Kim, Sangjin Kim +2
Deep reinforcement learning (DRL) has shown remarkable success in sequential decision-making problems but suffers from a long training time to obtain such good performance. Many pa…
cs.LG2020★ 5 cited
Extension of Direct Feedback Alignment to Convolutional and Recurrent Neural Network for Bio-plausible Deep Learning
Donghyeon Han, Gwangtae Park, Junha Ryu +1
Throughout this paper, we focus on the improvement of the direct feedback alignment (DFA) algorithm and extend the usage of the DFA to convolutional and recurrent neural networks (…
cs.LG2019★ 13 cited
Efficient Convolutional Neural Network Training with Direct Feedback Alignment
Donghyeon Han, Hoi-jun Yoo
There were many algorithms to substitute the back-propagation (BP) in the deep neural network (DNN) training. However, they could not become popular because their training accuracy…