research
∙
01/30/2023
Efficient and Effective Methods for Mixed Precision Neural Network Quantization for Faster, Energy-efficient Inference
For effective and efficient deep neural network inference, it is desirab...
share
research
∙
02/21/2019
Learned Step Size Quantization
We present here Learned Step Size Quantization, a method for training de...
research
∙
09/25/2018
Low Precision Policy Distillation with Application to Low-Power, Real-time Sensation-Cognition-Action Loop with Neuromorphic Computing
Low precision networks in the reinforcement learning (RL) setting are re...
research
∙
09/11/2018
Discovering Low-Precision Networks Close to Full-Precision Networks for Efficient Embedded Inference
To realize the promise of ubiquitous embedded deep network inference, it...
research
∙
03/28/2016