28 citations · 83 across the 23 of their papers we have counts for
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cs.CV2023
The Sparsity Roofline: Understanding the Hardware Limits of Sparse Neural Networks
Cameron Shinn, Collin McCarthy, Saurav Muralidharan +2
We introduce the Sparsity Roofline, a visual performance model for evaluating sparsity in neural networks. The Sparsity Roofline jointly models network accuracy, sparsity, and theo…
cs.CV2020★ 2 cited
Going Beyond Classification Accuracy Metrics in Model Compression
Vinu Joseph, Shoaib Ahmed Siddiqui, Aditya Bhaskara +5
With the rise in edge-computing devices, there has been an increasing demand to deploy energy and resource-efficient models. A large body of research has been devoted to developing…