research
∙
07/09/2021
Model compression as constrained optimization, with application to neural nets. Part V: combining compressions
Model compression is generally performed by using quantization, low-rank...
share
research
∙
05/15/2020
A flexible, extensible software framework for model compression based on the LC algorithm
We propose a software framework based on the ideas of the Learning-Compr...
research
∙
11/25/2019
Structured Multi-Hashing for Model Compression
Despite the success of deep neural networks (DNNs), state-of-the-art mod...
research
∙
07/13/2017
