55 citations · 59 across the 2 of their papers we have counts for
2 papers
cs.LG2020★ 4 cited
Low-Rank Training of Deep Neural Networks for Emerging Memory Technology
Albert Gural, Phillip Nadeau, Mehul Tikekar +1
The recent success of neural networks for solving difficult decision tasks has incentivized incorporating smart decision making "at the edge." However, this work has traditionally…
cs.CV2019★ 55 cited
Trained Quantization Thresholds for Accurate and Efficient Fixed-Point Inference of Deep Neural Networks
Sambhav R. Jain, Albert Gural, Michael Wu +1
We propose a method of training quantization thresholds (TQT) for uniform symmetric quantizers using standard backpropagation and gradient descent. Contrary to prior work, we show…