Differentiable Joint Pruning and Quantization for Hardware Efficiency

20 July 2020

Papers citing "Differentiable Joint Pruning and Quantization for Hardware Efficiency"

7 / 7 papers shown

Title
BILLNET: A Binarized Conv3D-LSTM Network with Logic-gated residual architecture for hardware-efficient video inference Van Thien Nguyen William Guicquero Gilles Sicard 3DV MQ 74 2 0 24 Jan 2025
PTQD: Accurate Post-Training Quantization for Diffusion Models Yefei He Luping Liu Jing Liu Weijia Wu Hong Zhou Bohan Zhuang DiffM MQ 26 101 0 18 May 2023
Towards Hardware-Specific Automatic Compression of Neural Networks Torben Krieger Bernhard Klein Holger Fröning MQ 19 2 0 15 Dec 2022
Minimum Variance Unbiased N:M Sparsity for the Neural Gradients Brian Chmiel Itay Hubara Ron Banner Daniel Soudry 14 10 0 21 Mar 2022
Sharpness-aware Quantization for Deep Neural Networks Jing Liu Jianfei Cai Bohan Zhuang MQ 27 24 0 24 Nov 2021
Differentiable Model Compression via Pseudo Quantization Noise Alexandre Défossez Yossi Adi Gabriel Synnaeve DiffM MQ 10 46 0 20 Apr 2021
ReLeQ: A Reinforcement Learning Approach for Deep Quantization of Neural Networks Ahmed T. Elthakeb Prannoy Pilligundla Fatemehsadat Mireshghallah Amir Yazdanbakhsh H. Esmaeilzadeh MQ 55 68 0 05 Nov 2018