most citedDeeplite Neutrino: An End-to-End Framework for Constrained Deep Learning Model Optimization

2 citations · 2 across the 1 of their papers we have counts for

collaborators

2 papers

cs.LG2021★ 2 cited

Deeplite Neutrino: An End-to-End Framework for Constrained Deep Learning Model Optimization

Anush Sankaran, Olivier Mastropietro, Ehsan Saboori +4

Designing deep learning-based solutions is becoming a race for training deeper models with a greater number of layers. While a large-size deeper model could provide competitive acc…

eess.IV2019

U-Net Fixed-Point Quantization for Medical Image Segmentation

MohammadHossein AskariHemmat, Sina Honari, Lucas Rouhier +4

Model quantization is leveraged to reduce the memory consumption and the computation time of deep neural networks. This is achieved by representing weights and activations with a l…