Transform Quantization for CNN (Convolutional Neural Network) Compression

2 September 2020

Papers citing "Transform Quantization for CNN (Convolutional Neural Network) Compression"

9 / 9 papers shown

Title
Radio: Rate-Distortion Optimization for Large Language Model Compression Sean I. Young MQ 21 0 0 05 May 2025
Foundations of Large Language Model Compression -- Part 1: Weight Quantization Sean I. Young MQ 37 1 0 03 Sep 2024
Matrix Compression via Randomized Low Rank and Low Precision Factorization R. Saha Varun Srivastava Mert Pilanci 18 19 0 17 Oct 2023
LilNetX: Lightweight Networks with EXtreme Model Compression and Structured Sparsification Sharath Girish Kamal Gupta Saurabh Singh Abhinav Shrivastava 26 11 0 06 Apr 2022
Minimax Optimal Quantization of Linear Models: Information-Theoretic Limits and Efficient Algorithms R. Saha Mert Pilanci Andrea J. Goldsmith MQ 17 3 0 23 Feb 2022
Illumination and Temperature-Aware Multispectral Networks for Edge-Computing-Enabled Pedestrian Detection Yifan Zhuang Ziyuan Pu Jia Hu Yinhai Wang 12 24 0 09 Dec 2021
Towards Efficient Post-training Quantization of Pre-trained Language Models Haoli Bai Lu Hou Lifeng Shang Xin Jiang Irwin King M. Lyu MQ 71 47 0 30 Sep 2021
An Information-Theoretic Justification for Model Pruning Berivan Isik Tsachy Weissman Albert No 84 35 0 16 Feb 2021
Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights Aojun Zhou Anbang Yao Yiwen Guo Lin Xu Yurong Chen MQ 311 1,047 0 10 Feb 2017