ZeroQ: A Novel Zero Shot Quantization Framework

ZeroQ: A Novel Zero Shot Quantization Framework

1 January 2020

Zhen Dong

Michael W. Mahoney

Papers citing "ZeroQ: A Novel Zero Shot Quantization Framework"

19 / 69 papers shown

Title
QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quantization Xiuying Wei Ruihao Gong Yuhang Li Xianglong Liu F. Yu MQ VLM 19 165 0 11 Mar 2022
The Augmented Image Prior: Distilling 1000 Classes by Extrapolating from a Single Image Yuki M. Asano Aaqib Saeed 19 7 0 01 Dec 2021
IntraQ: Learning Synthetic Images with Intra-Class Heterogeneity for Zero-Shot Network Quantization Yunshan Zhong Mingbao Lin Gongrui Nan Jianzhuang Liu Baochang Zhang Yonghong Tian Rongrong Ji MQ 30 70 0 17 Nov 2021
When to Prune? A Policy towards Early Structural Pruning Maying Shen Pavlo Molchanov Hongxu Yin J. Álvarez VLM 15 52 0 22 Oct 2021
Fine-grained Data Distribution Alignment for Post-Training Quantization Yunshan Zhong Mingbao Lin Mengzhao Chen Ke Li Yunhang Shen Fei Chao Yongjian Wu Rongrong Ji MQ 81 19 0 09 Sep 2021
Memory-Free Generative Replay For Class-Incremental Learning Xiaomeng Xin Yiran Zhong Yunzhong Hou Jinjun Wang Liang Zheng 22 8 0 01 Sep 2021
Full-Cycle Energy Consumption Benchmark for Low-Carbon Computer Vision Bo-wen Li Xinyang Jiang Donglin Bai Yuge Zhang Ningxin Zheng Xuanyi Dong Lu Liu Yuqing Yang Dongsheng Li 14 10 0 30 Aug 2021
Auto-Split: A General Framework of Collaborative Edge-Cloud AI Amin Banitalebi-Dehkordi Naveen Vedula J. Pei Fei Xia Lanjun Wang Yong Zhang 20 89 0 30 Aug 2021
MOHAQ: Multi-Objective Hardware-Aware Quantization of Recurrent Neural Networks Nesma M. Rezk Tomas Nordstrom D. Stathis Z. Ul-Abdin E. Aksoy A. Hemani MQ 10 1 0 02 Aug 2021
Post-Training Quantization for Vision Transformer Zhenhua Liu Yunhe Wang Kai Han Siwei Ma Wen Gao ViT MQ 39 321 0 27 Jun 2021
See through Gradients: Image Batch Recovery via GradInversion Hongxu Yin Arun Mallya Arash Vahdat J. Álvarez Jan Kautz Pavlo Molchanov FedML 23 459 0 15 Apr 2021
Dynamic Precision Analog Computing for Neural Networks Sahaj Garg Joe Lou Anirudh Jain Mitchell Nahmias 29 32 0 12 Feb 2021
VS-Quant: Per-vector Scaled Quantization for Accurate Low-Precision Neural Network Inference Steve Dai Rangharajan Venkatesan Haoxing Ren B. Zimmer W. Dally Brucek Khailany MQ 23 67 0 08 Feb 2021
Hybrid and Non-Uniform quantization methods using retro synthesis data for efficient inference Gvsl Tej Pratap R. Kumar MQ 13 1 0 26 Dec 2020
Weight Equalizing Shift Scaler-Coupled Post-training Quantization Jihun Oh Sangjeong Lee Meejeong Park Pooni Walagaurav K. Kwon MQ 13 1 0 13 Aug 2020
Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming Itay Hubara Yury Nahshan Y. Hanani Ron Banner Daniel Soudry MQ 13 122 0 14 Jun 2020
HAWQ-V2: Hessian Aware trace-Weighted Quantization of Neural Networks Zhen Dong Z. Yao Yaohui Cai Daiyaan Arfeen A. Gholami Michael W. Mahoney Kurt Keutzer MQ 21 274 0 10 Nov 2019
Q-BERT: Hessian Based Ultra Low Precision Quantization of BERT Sheng Shen Zhen Dong Jiayu Ye Linjian Ma Z. Yao A. Gholami Michael W. Mahoney Kurt Keutzer MQ 225 574 0 12 Sep 2019
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