Abstract: Structural pruning of neural network parameters reduces computational, energy, and memory transfer costs during inference. We propose a novel method that estimates the contribution of a ...
Abstract: With ongoing advancements in natural language processing (NLP) and deep learning methods, the demand for computational and memory resources has considerably increased, which signifies the ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback