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Data-Free Quantization via Mixed-Precision Compensation without Fine-Tuning

2 July 2023

Papers citing "Data-Free Quantization via Mixed-Precision Compensation without Fine-Tuning"

41 / 41 papers shown

Title
Hyperbolic Binary Neural Network Jun Chen Jingyang Xiang Tianxin Huang Xiangrui Zhao Yong Liu MQ 51 0 0 08 Jan 2025
Timestep-Aware Correction for Quantized Diffusion Models Yuzhe Yao Feng Tian Jun Chen Haonan Lin Guang Dai Yong Liu Jingdong Wang DiffM MQ 101 5 0 04 Jul 2024
AutoDFP: Automatic Data-Free Pruning via Channel Similarity Reconstruction Siqi Li Jun Chen Jingyang Xiang Chengrui Zhu Yong-Jin Liu 78 0 0 13 Mar 2024
A Survey on Transformer Compression Yehui Tang Yunhe Wang Jianyuan Guo Zhijun Tu Kai Han Hailin Hu Dacheng Tao 158 35 0 05 Feb 2024
Unified Data-Free Compression: Pruning and Quantization without Fine-Tuning Shipeng Bai Jun Chen Xintian Shen Yixuan Qian Yong Liu MQ 102 15 0 14 Aug 2023
Towards Trustworthy Dataset Distillation Shijie Ma Fei Zhu Zhen Cheng Xu-Yao Zhang DD 98 15 0 18 Jul 2023
MBQuant: A Novel Multi-Branch Topology Method for Arbitrary Bit-width Network Quantization Mingliang Xu Yuyao Zhou Yong Li Rongrong Ji MQ 71 4 0 14 May 2023
Learning Discretized Neural Networks under Ricci Flow Jun Chen Han Chen Mengmeng Wang Guang Dai Ivor W. Tsang Yang Liu 101 4 0 07 Feb 2023
A Comprehensive Survey on Model Quantization for Deep Neural Networks in Image Classification Babak Rokh A. Azarpeyvand Alireza Khanteymoori MQ 132 103 0 14 May 2022
Qimera: Data-free Quantization with Synthetic Boundary Supporting Samples Kanghyun Choi Deokki Hong Noseong Park Youngsok Kim Jinho Lee MQ 71 67 0 04 Nov 2021
Post-Training Quantization for Vision Transformer Zhenhua Liu Yunhe Wang Kai Han Siwei Ma Wen Gao ViT MQ 134 348 0 27 Jun 2021
Zero-shot Adversarial Quantization Yuang Liu Wei Zhang Jun Wang MQ 116 80 0 29 Mar 2021
Generative Zero-shot Network Quantization Xiangyu He Qinghao Hu Peisong Wang Jian Cheng GAN MQ 114 23 0 21 Jan 2021
Computation-Efficient Knowledge Distillation via Uncertainty-Aware Mixup Guodong Xu Ziwei Liu Chen Change Loy UQCV 51 39 0 17 Dec 2020
Neural Pruning via Growing Regularization Huan Wang Can Qin Yulun Zhang Y. Fu 112 148 0 16 Dec 2020
Neuron Merging: Compensating for Pruned Neurons Woojeong Kim Suhyun Kim Mincheol Park Geonseok Jeon 74 33 0 25 Oct 2020
Up or Down? Adaptive Rounding for Post-Training Quantization Markus Nagel Rana Ali Amjad M. V. Baalen Christos Louizos Tijmen Blankevoort MQ 118 590 0 22 Apr 2020
A Learning Framework for n-bit Quantized Neural Networks toward FPGAs Jun Chen Lu Liu Yong Liu Xianfang Zeng MQ 93 29 0 06 Apr 2020
Generative Low-bitwidth Data Free Quantization Shoukai Xu Haokun Li Bohan Zhuang Jing Liu Jingyun Liang Chuangrun Liang Mingkui Tan MQ 88 127 0 07 Mar 2020
ZeroQ: A Novel Zero Shot Quantization Framework Yaohui Cai Z. Yao Zhen Dong A. Gholami Michael W. Mahoney Kurt Keutzer MQ 132 401 0 01 Jan 2020
Data-Free Quantization Through Weight Equalization and Bias Correction Markus Nagel M. V. Baalen Tijmen Blankevoort Max Welling MQ 110 515 0 11 Jun 2019
Correlation Congruence for Knowledge Distillation Baoyun Peng Xiao Jin Jiaheng Liu Shunfeng Zhou Yichao Wu Yu Liu Dongsheng Li Zhaoning Zhang 116 515 0 03 Apr 2019
Low-bit Quantization of Neural Networks for Efficient Inference Yoni Choukroun Eli Kravchik Fan Yang P. Kisilev MQ 88 366 0 18 Feb 2019
Improving Neural Network Quantization without Retraining using Outlier Channel Splitting Ritchie Zhao Yuwei Hu Jordan Dotzel Christopher De Sa Zhiru Zhang OODD MQ 167 312 0 28 Jan 2019
MobileNetV2: Inverted Residuals and Linear Bottlenecks Mark Sandler Andrew G. Howard Menglong Zhu A. Zhmoginov Liang-Chieh Chen 568 19,472 0 13 Jan 2018
Visualizing the Loss Landscape of Neural Nets Hao Li Zheng Xu Gavin Taylor Christoph Studer Tom Goldstein 293 1,905 0 28 Dec 2017
Trained Ternary Quantization Chenzhuo Zhu Song Han Huizi Mao W. Dally MQ 203 1,035 0 04 Dec 2016
Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations Itay Hubara Matthieu Courbariaux Daniel Soudry Ran El-Yaniv Yoshua Bengio MQ 253 1,874 0 22 Sep 2016
Pruning Filters for Efficient ConvNets Hao Li Asim Kadav Igor Durdanovic H. Samet H. Graf 3DPC 299 3,711 0 31 Aug 2016
Densely Connected Convolutional Networks Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger PINN 3DV 1.2K 37,038 0 25 Aug 2016
DoReFa-Net: Training Low Bitwidth Convolutional Neural Networks with Low Bitwidth Gradients Shuchang Zhou Yuxin Wu Zekun Ni Xinyu Zhou He Wen Yuheng Zou MQ 214 2,093 0 20 Jun 2016
Ternary Weight Networks Fengfu Li Bin Liu Xiaoxing Wang Bo Zhang Junchi Yan MQ 114 527 0 16 May 2016
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks Mohammad Rastegari Vicente Ordonez Joseph Redmon Ali Farhadi MQ 194 4,378 0 16 Mar 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.8K 195,310 0 10 Dec 2015
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding Song Han Huizi Mao W. Dally 3DGS 369 8,877 0 01 Oct 2015
Data-free parameter pruning for Deep Neural Networks Suraj Srinivas R. Venkatesh Babu 3DPC 98 548 0 22 Jul 2015
Learning both Weights and Connections for Efficient Neural Networks Song Han Jeff Pool J. Tran W. Dally CVBM 337 6,728 0 08 Jun 2015
Compressing Neural Networks with the Hashing Trick Wenlin Chen James T. Wilson Stephen Tyree Kilian Q. Weinberger Yixin Chen 245 1,191 0 19 Apr 2015
Distilling the Knowledge in a Neural Network Geoffrey E. Hinton Oriol Vinyals J. Dean FedML 372 19,823 0 09 Mar 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 897 43,420 0 11 Feb 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 2.1K 100,836 0 04 Sep 2014