Frame Quantization of Neural Networks

11 April 2024

Papers citing "Frame Quantization of Neural Networks"

9 / 9 papers shown

Title
ZeroQuant: Efficient and Affordable Post-Training Quantization for Large-Scale Transformers Z. Yao Reza Yazdani Aminabadi Minjia Zhang Xiaoxia Wu Conglong Li Yuxiong He VLM MQ 127 479 0 04 Jun 2022
QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quantization Xiuying Wei Ruihao Gong Yuhang Li Xianglong Liu F. Yu MQ VLM 76 177 0 11 Mar 2022
Post-training Quantization for Neural Networks with Provable Guarantees Jinjie Zhang Yixuan Zhou Rayan Saab MQ 61 33 0 26 Jan 2022
Approximation of functions with one-bit neural networks C. S. Güntürk Weilin Li 44 9 0 16 Dec 2021
Adaptive Precision Training (AdaPT): A dynamic fixed point quantized training approach for DNNs Lorenz Kummer Kevin Sidak Tabea Reichmann Wilfried Gansterer MQ 47 6 0 28 Jul 2021
A Greedy Algorithm for Quantizing Neural Networks Eric Lybrand Rayan Saab MQ 28 27 0 29 Oct 2020
Up or Down? Adaptive Rounding for Post-Training Quantization Markus Nagel Rana Ali Amjad M. V. Baalen Christos Louizos Tijmen Blankevoort MQ 90 586 0 22 Apr 2020
Loss Aware Post-training Quantization Yury Nahshan Brian Chmiel Chaim Baskin Evgenii Zheltonozhskii Ron Banner A. Bronstein A. Mendelson MQ 83 166 0 17 Nov 2019
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks Mohammad Rastegari Vicente Ordonez Joseph Redmon Ali Farhadi MQ 175 4,369 0 16 Mar 2016