17 citations · 47 across the 17 of their papers we have counts for
3 papers · 1 filter
BitNet: Bit-Regularized Deep Neural Networks
Aswin Raghavan, Mohamed Amer, Sek Chai +1
We present a novel optimization strategy for training neural networks which we call "BitNet". The parameters of neural networks are usually unconstrained and have a dynamic range d…
GPU Activity Prediction using Representation Learning
Aswin Raghavan, Mohamed Amer, Timothy Shields +2
GPU activity prediction is an important and complex problem. This is due to the high level of contention among thousands of parallel threads. This problem was mostly addressed usin…
Low Precision Neural Networks using Subband Decomposition
Sek Chai, Aswin Raghavan, David Zhang +2
Large-scale deep neural networks (DNN) have been successfully used in a number of tasks from image recognition to natural language processing. They are trained using large training…