60 citations · 98 across the 8 of their papers we have counts for
3 papers · 1 filter
Learning Sparse Low-Precision Neural Networks With Learnable Regularization
Yoojin Choi, Mostafa El-Khamy, Jungwon Lee
We consider learning deep neural networks (DNNs) that consist of low-precision weights and activations for efficient inference of fixed-point operations. In training low-precision…
Compression of Deep Convolutional Neural Networks under Joint Sparsity Constraints
Yoojin Choi, Mostafa El-Khamy, Jungwon Lee
We consider the optimization of deep convolutional neural networks (CNNs) such that they provide good performance while having reduced complexity if deployed on either conventional…
Universal Deep Neural Network Compression
Yoojin Choi, Mostafa El-Khamy, Jungwon Lee
In this paper, we investigate lossy compression of deep neural networks (DNNs) by weight quantization and lossless source coding for memory-efficient deployment. Whereas the previo…