177 citations · 177 across the 2 of their papers we have counts for
2 papers
cs.LG2024
An Adaptive Tensor-Train Decomposition Approach for Efficient Deep Neural Network Compression
Shiyi Luo, Mingshuo Liu, Yifeng Yu +2
In the field of model compression, choosing an appropriate rank for tensor decomposition is pivotal for balancing model compression rate and efficiency. However, this selection, wh…
cs.CV2017★ 177 cited
CirCNN: Accelerating and Compressing Deep Neural Networks Using Block-CirculantWeight Matrices
Caiwen Ding, Siyu Liao, Yanzhi Wang +13
Large-scale deep neural networks (DNNs) are both compute and memory intensive. As the size of DNNs continues to grow, it is critical to improve the energy efficiency and performanc…