51 citations · 51 across the 1 of their papers we have counts for
2 papers
cs.CV2021★ 51 cited
Pruning and Quantization for Deep Neural Network Acceleration: A Survey
Tailin Liang, John Glossner, Lei Wang +2
Deep neural networks have been applied in many applications exhibiting extraordinary abilities in the field of computer vision. However, complex network architectures challenge eff…
cs.LG2018
Dynamic Runtime Feature Map Pruning
Tailin Liang, Lei Wang, Shaobo Shi +1
High bandwidth requirements are an obstacle for accelerating the training and inference of deep neural networks. Most previous research focuses on reducing the size of kernel maps…