2 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.CV2023★ 2 cited
Zero-TPrune: Zero-Shot Token Pruning through Leveraging of the Attention Graph in Pre-Trained Transformers
Hongjie Wang, Bhishma Dedhia, Niraj K. Jha
Deployment of Transformer models on edge devices is becoming increasingly challenging due to the exponentially growing inference cost that scales quadratically with the number of t…
cs.DC2020★ 1 cited
A New MRAM-based Process In-Memory Accelerator for Efficient Neural Network Training with Floating Point Precision
Hongjie Wang, Yang Zhao, Chaojian Li +2
The excellent performance of modern deep neural networks (DNNs) comes at an often prohibitive training cost, limiting the rapid development of DNN innovations and raising various e…