2 papers
cs.CV2018
Hybrid Binary Networks: Optimizing for Accuracy, Efficiency and Memory
Ameya Prabhu, Vishal Batchu, Rohit Gajawada +2
Binarization is an extreme network compression approach that provides large computational speedups along with energy and memory savings, albeit at significant accuracy costs. We in…
cs.CV2018
Distribution-Aware Binarization of Neural Networks for Sketch Recognition
Ameya Prabhu, Vishal Batchu, Sri Aurobindo Munagala +2
Deep neural networks are highly effective at a range of computational tasks. However, they tend to be computationally expensive, especially in vision-related problems, and also hav…