1 citations · 1 across the 1 of their papers we have counts for
3 papers
To Filter Prune, or to Layer Prune, That Is The Question
Sara Elkerdawy, Mostafa Elhoushi, Abhineet Singh +2
Recent advances in pruning of neural networks have made it possible to remove a large number of filters or weights without any perceptible drop in accuracy. The number of parameter…
Accelerating Training using Tensor Decomposition
Mostafa Elhoushi, Ye Henry Tian, Zihao Chen +2
Tensor decomposition is one of the well-known approaches to reduce the latency time and number of parameters of a pre-trained model. However, in this paper, we propose an approach…
DeepShift: Towards Multiplication-Less Neural Networks
Mostafa Elhoushi, Zihao Chen, Farhan Shafiq +2
The high computation, memory, and power budgets of inferring convolutional neural networks (CNNs) are major bottlenecks of model deployment to edge computing platforms, e.g., mobil…