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…
cs.LG2017★ 1 cited
A unified framework for hard and soft clustering with regularized optimal transport
Jean-Frédéric Diebold, Nicolas Papadakis, Arnaud Dessein +1
In this paper, we formulate the problem of inferring a Finite Mixture Model from discrete data as an optimal transport problem with entropic regularization of parameter .…