Search Results for author: Hoi-jun Yoo

Found 4 papers, 0 papers with code

Energy-efficient Dense DNN Acceleration with Signed Bit-slice Architecture

no code implementations15 Mar 2022 Dongseok Im, Gwangtae Park, Zhiyong Li, Junha Ryu, Hoi-jun Yoo

This paper proposes energy-efficient signed bit-slice architecture which accelerates both high-precision and dense DNNs by exploiting a large number of zero values of signed bit-slices.

GST: Group-Sparse Training for Accelerating Deep Reinforcement Learning

no code implementations24 Jan 2021 JuHyoung Lee, Sangyeob Kim, Sangjin Kim, Wooyoung Jo, Hoi-jun Yoo

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.

Decision Making reinforcement-learning +1

Extension of Direct Feedback Alignment to Convolutional and Recurrent Neural Network for Bio-plausible Deep Learning

no code implementations23 Jun 2020 Donghyeon Han, Gwangtae Park, Junha Ryu, Hoi-jun Yoo

Even though the DFA algorithm is biologically plausible and has a potential of high-speed training, it has not been considered as the substitute for back-propagation (BP) due to the low accuracy in the CNN and RNN training.

Efficient Convolutional Neural Network Training with Direct Feedback Alignment

no code implementations ICLR 2019 Donghyeon Han, Hoi-jun Yoo

One of them was direct feedback alignment (DFA), but it showed low training performance especially for the convolutional neural network (CNN).

Computational Efficiency Object Tracking

Cannot find the paper you are looking for? You can Submit a new open access paper.