Model compression as constrained optimization, with application to neural nets. Part I: general framework

5 July 2017

Papers citing "Model compression as constrained optimization, with application to neural nets. Part I: general framework"

4 / 4 papers shown

Title
On Model Compression for Neural Networks: Framework, Algorithm, and Convergence Guarantee Chenyang Li Jihoon Chung Mengnan Du Haimin Wang Xianlian Zhou Bohao Shen 33 1 0 13 Mar 2023
ProxQuant: Quantized Neural Networks via Proximal Operators Yu Bai Yu-Xiang Wang Edo Liberty MQ 11 117 0 01 Oct 2018
Blended Coarse Gradient Descent for Full Quantization of Deep Neural Networks Penghang Yin Shuai Zhang J. Lyu Stanley Osher Y. Qi Jack Xin MQ 44 61 0 15 Aug 2018
Model compression as constrained optimization, with application to neural nets. Part II: quantization M. A. Carreira-Perpiñán Yerlan Idelbayev MQ 28 37 0 13 Jul 2017