599 citations · 627 across the 3 of their papers we have counts for
3 papers
cs.LG2016★ 28 cited
Overcoming Challenges in Fixed Point Training of Deep Convolutional Networks
Darryl D. Lin, Sachin S. Talathi
It is known that training deep neural networks, in particular, deep convolutional networks, with aggressively reduced numerical precision is challenging. The stochastic gradient de…
cs.LG2015★ 599 cited
Fixed Point Quantization of Deep Convolutional Networks
Darryl D. Lin, Sachin S. Talathi, V. Sreekanth Annapureddy
In recent years increasingly complex architectures for deep convolution networks (DCNs) have been proposed to boost the performance on image recognition tasks. However, the gains i…
cs.IT2008
A Variational Inference Framework for Soft-In-Soft-Out Detection in Multiple Access Channels
D. D. Lin, T. J. Lim
We propose a unified framework for deriving and studying soft-in-soft-out (SISO) detection in interference channels using the concept of variational inference. The proposed framewo…