research
∙
07/17/2023
Differentiable Transportation Pruning
Deep learning algorithms are increasingly employed at the edge. However,...
share
research
∙
12/16/2020
Distilling Optimal Neural Networks: Rapid Search in Diverse Spaces
This work presents DONNA (Distilling Optimal Neural Network Architecture...
research
∙
11/11/2018
HSD-CNN: Hierarchically self decomposing CNN architecture using class specific filter sensitivity analysis
Conventional Convolutional neural networks (CNN) are trained on large do...
research
∙
04/16/2018
BinarEye: An Always-On Energy-Accuracy-Scalable Binary CNN Processor With All Memory On Chip in 28nm CMOS
This paper introduces BinarEye: a digital processor for always-on Binary...
research
∙
03/13/2018
Resource aware design of a deep convolutional-recurrent neural network for speech recognition through audio-visual sensor fusion
Today's Automatic Speech Recognition systems only rely on acoustic signa...
research
∙
11/01/2017
Minimum Energy Quantized Neural Networks
This work targets the automated minimum-energy optimization of Quantized...
research
∙
06/16/2016
A 0.3-2.6 TOPS/W Precision-Scalable Processor for Real-Time Large-Scale ConvNets
A low-power precision-scalable processor for ConvNets or convolutional n...
research
∙
03/22/2016