2.1k citations · 4.6k across the 69 of their papers we have counts for
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cs.LG2019
Hardware-aware Pruning of DNNs using LFSR-Generated Pseudo-Random Indices
Foroozan Karimzadeh, Ningyuan Cao, Brian Crafton +2
Deep neural networks (DNNs) have been emerged as the state-of-the-art algorithms in broad range of applications. To reduce the memory foot-print of DNNs, in particular for embedded…
cs.LG2019★ 20 cited
Fast Compressive Sensing Recovery Using Generative Models with Structured Latent Variables
Shaojie Xu, Sihan Zeng, Justin Romberg
Deep learning models have significantly improved the visual quality and accuracy on compressive sensing recovery. In this paper, we propose an algorithm for signal reconstruction f…