Joonsang Yu

Dynamic energy-accuracy trade-off using stochastic computing in deep neural networks

Kyounghoon Kim, Jungki Kim, Joonsang Yu et al. · 2016 · 190 citations

Deep Neural Networks, Engineering, Machine Learning +13

NN-LUT

Joonsang Yu, Junki Park, Seongmin Park et al. · Proceedings of the 59th ACM/IEEE Design Automation Conference · 2022 · 57 citations

Artificial Intelligence, Engineering, Machine Learning +12

Accurate and Efficient Stochastic Computing Hardware for Convolutional Neural Networks

Joonsang Yu, Kyounghoon Kim, Jongeun Lee et al. · 2017 · 50 citations

Convolutional Neural Network, Engineering, Machine Learning +16

It's All In the Teacher: Zero-Shot Quantization Brought Closer to the Teacher

Kanghyun Choi, Hye Yoon Lee, Deokki Hong et al. · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · 2022 · 32 citations

Artificial Intelligence, Few-shot Learning, Model Quantization +16

Acceleration of DNN Backward Propagation by Selective Computation of Gradients

Gunhee Lee, Hanmin Park, Namhyung Kim et al. · 2019 · 14 citations

Artificial Intelligence, Forward Propagation, Convolutional Neural Network +15