574 citations · 813 across the 18 of their papers we have counts for
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cs.LG2020★ 2 cited
WaveQ: Gradient-Based Deep Quantization of Neural Networks through Sinusoidal Adaptive Regularization
Ahmed T. Elthakeb, Prannoy Pilligundla, Fatemehsadat Mireshghallah +3
As deep neural networks make their ways into different domains, their compute efficiency is becoming a first-order constraint. Deep quantization, which reduces the bitwidth of the…
math.ST2020
Low-rank matrix denoising for count data using unbiased Kullback-Leibler risk estimation
Jérémie Bigot, Charles Deledalle
Many statistical studies are concerned with the analysis of observations organized in a matrix form whose elements are count data. When these observations are assumed to follow a P…