QFT: Post-training quantization via fast joint finetuning of all degrees of freedom

5 December 2022

Papers citing "QFT: Post-training quantization via fast joint finetuning of all degrees of freedom"

7 / 7 papers shown

Title
NVRC: Neural Video Representation Compression Ho Man Kwan Ge Gao Fan Zhang Andrew Gower David Bull 23 11 0 11 Sep 2024
Low-Bitwidth Floating Point Quantization for Efficient High-Quality Diffusion Models Cheng Chen Christina Giannoula Andreas Moshovos DiffM MQ 24 0 0 13 Aug 2024
MQBench: Towards Reproducible and Deployable Model Quantization Benchmark Yuhang Li Mingzhu Shen Jian Ma Yan Ren Mingxin Zhao Qi Zhang Ruihao Gong F. Yu Junjie Yan MQ 35 49 0 05 Nov 2021
Training Deep Neural Networks with Joint Quantization and Pruning of Weights and Activations Xinyu Zhang Ian Colbert Ken Kreutz-Delgado Srinjoy Das MQ 24 11 0 15 Oct 2021
Post-Training Sparsity-Aware Quantization Gil Shomron F. Gabbay Samer Kurzum U. Weiser MQ 31 33 0 23 May 2021
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand M. Andreetto Hartwig Adam 3DH 950 20,561 0 17 Apr 2017
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 296 39,194 0 01 Sep 2014