Solving Oscillation Problem in Post-Training Quantization Through a
Theoretical Perspective

Solving Oscillation Problem in Post-Training Quantization Through a Theoretical Perspective

21 March 2023

Papers citing "Solving Oscillation Problem in Post-Training Quantization Through a Theoretical Perspective"

19 / 19 papers shown

Title
Pack-PTQ: Advancing Post-training Quantization of Neural Networks by Pack-wise Reconstruction Changjun Li Runqing Jiang Zhuo Song Pengpeng Yu Ye Zhang Yulan Guo MQ 88 0 0 01 May 2025
Revisiting Random Channel Pruning for Neural Network Compression Yawei Li Kamil Adamczewski Wen Li Shuhang Gu Radu Timofte Luc Van Gool 66 84 0 11 May 2022
An Information Theory-inspired Strategy for Automatic Network Pruning Xiawu Zheng Yuexiao Ma Teng Xi Gang Zhang Errui Ding Yuchao Li Jie Chen Yonghong Tian Rongrong Ji 120 13 0 19 Aug 2021
You Only Compress Once: Towards Effective and Elastic BERT Compression via Exploit-Explore Stochastic Nature Gradient Shaokun Zhang Xiawu Zheng Chenyi Yang Yuchao Li Yan Wang Chia-Wen Lin Mengdi Wang Shen Li Jun Yang Rongrong Ji MQ 38 22 0 04 Jun 2021
Do All MobileNets Quantize Poorly? Gaining Insights into the Effect of Quantization on Depthwise Separable Convolutional Networks Through the Eyes of Multi-scale Distributional Dynamics S. Yun Alexander Wong MQ 43 25 0 24 Apr 2021
BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction Yuhang Li Ruihao Gong Xu Tan Yang Yang Peng Hu Qi Zhang F. Yu Wei Wang Shi Gu MQ 95 426 0 10 Feb 2021
Progressive Automatic Design of Search Space for One-Shot Neural Architecture Search Xin Xia Xuefeng Xiao Xing Wang Min Zheng 42 18 0 15 May 2020
Up or Down? Adaptive Rounding for Post-Training Quantization Markus Nagel Rana Ali Amjad M. V. Baalen Christos Louizos Tijmen Blankevoort MQ 37 571 0 22 Apr 2020
Towards Unified INT8 Training for Convolutional Neural Network Feng Zhu Ruihao Gong F. Yu Xianglong Liu Yanfei Wang Zhelong Li Xiuqi Yang Junjie Yan MQ 62 151 0 29 Dec 2019
Loss Aware Post-training Quantization Yury Nahshan Brian Chmiel Chaim Baskin Evgenii Zheltonozhskii Ron Banner A. Bronstein A. Mendelson MQ 61 165 0 17 Nov 2019
Multinomial Distribution Learning for Effective Neural Architecture Search Xiawu Zheng Rongrong Ji Lang Tang Baochang Zhang Jianzhuang Liu Q. Tian 39 89 0 18 May 2019
Learned Step Size Quantization S. K. Esser J. McKinstry Deepika Bablani R. Appuswamy D. Modha MQ 52 792 0 21 Feb 2019
HAQ: Hardware-Aware Automated Quantization with Mixed Precision Kuan-Chieh Wang Zhijian Liu Chengyue Wu Ji Lin Song Han MQ 99 876 0 21 Nov 2018
DARTS: Differentiable Architecture Search Hanxiao Liu Karen Simonyan Yiming Yang 167 4,326 0 24 Jun 2018
PACT: Parameterized Clipping Activation for Quantized Neural Networks Jungwook Choi Zhuo Wang Swagath Venkataramani P. Chuang Vijayalakshmi Srinivasan K. Gopalakrishnan MQ 46 945 0 16 May 2018
Take it in your stride: Do we need striding in CNNs? Chen Kong Simon Lucey 35 19 0 07 Dec 2017
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning Christian Szegedy Sergey Ioffe Vincent Vanhoucke Alexander A. Alemi 294 14,196 0 23 Feb 2016
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding Song Han Huizi Mao W. Dally 3DGS 203 8,793 0 01 Oct 2015
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 1.1K 39,383 0 01 Sep 2014