Learned Step Size Quantization

21 February 2019

Papers citing "Learned Step Size Quantization"

31 / 181 papers shown

Title
In-Hindsight Quantization Range Estimation for Quantized Training Marios Fournarakis Markus Nagel MQ 22 10 0 10 May 2021
Differentiable Model Compression via Pseudo Quantization Noise Alexandre Défossez Yossi Adi Gabriel Synnaeve DiffM MQ 26 48 0 20 Apr 2021
End-to-end Keyword Spotting using Neural Architecture Search and Quantization David Peter Wolfgang Roth Franz Pernkopf MQ 32 14 0 14 Apr 2021
Training Multi-bit Quantized and Binarized Networks with A Learnable Symmetric Quantizer Phuoc Pham J. Abraham Jaeyong Chung MQ 53 11 0 01 Apr 2021
Learnable Companding Quantization for Accurate Low-bit Neural Networks Kohei Yamamoto MQ 36 64 0 12 Mar 2021
BSQ: Exploring Bit-Level Sparsity for Mixed-Precision Neural Network Quantization Huanrui Yang Lin Duan Yiran Chen Hai Helen Li MQ 21 64 0 20 Feb 2021
Dynamic Precision Analog Computing for Neural Networks Sahaj Garg Joe Lou Anirudh Jain Mitchell Nahmias 45 33 0 12 Feb 2021
I-BERT: Integer-only BERT Quantization Sehoon Kim A. Gholami Z. Yao Michael W. Mahoney Kurt Keutzer MQ 107 345 0 05 Jan 2021
BinaryBERT: Pushing the Limit of BERT Quantization Haoli Bai Wei Zhang Lu Hou Lifeng Shang Jing Jin Xin Jiang Qun Liu Michael Lyu Irwin King MQ 145 221 0 31 Dec 2020
DAQ: Channel-Wise Distribution-Aware Quantization for Deep Image Super-Resolution Networks Chee Hong Heewon Kim Sungyong Baik Junghun Oh Kyoung Mu Lee OOD SupR MQ 24 41 0 21 Dec 2020
Mix and Match: A Novel FPGA-Centric Deep Neural Network Quantization Framework Sung-En Chang Yanyu Li Mengshu Sun Runbin Shi Hayden Kwok-Hay So Xuehai Qian Yanzhi Wang Xue Lin MQ 26 83 0 08 Dec 2020
Improving Accuracy of Binary Neural Networks using Unbalanced Activation Distribution Hyungjun Kim Jihoon Park Chang-Ho Lee Jae-Joon Kim MQ 20 30 0 02 Dec 2020
Once Quantization-Aware Training: High Performance Extremely Low-bit Architecture Search Mingzhu Shen Feng Liang Ruihao Gong Yuhang Li Chuming Li Chen Lin F. Yu Junjie Yan Wanli Ouyang MQ 33 36 0 09 Oct 2020
Binary Neural Networks for Memory-Efficient and Effective Visual Place Recognition in Changing Environments Bruno Ferrarini Michael Milford Klaus D. McDonald-Maier Shoaib Ehsan MQ 25 23 0 01 Oct 2020
Some Remarks on Replicated Simulated Annealing Vicent Gripon Matthias Löwe Franck Vermet 19 2 0 30 Sep 2020
MSP: An FPGA-Specific Mixed-Scheme, Multi-Precision Deep Neural Network Quantization Framework Sung-En Chang Yanyu Li Mengshu Sun Weiwen Jiang Runbin Shi Xue Lin Yanzhi Wang MQ 27 7 0 16 Sep 2020
HMQ: Hardware Friendly Mixed Precision Quantization Block for CNNs H. Habi Roy H. Jennings Arnon Netzer MQ 29 65 0 20 Jul 2020
AQD: Towards Accurate Fully-Quantized Object Detection Peng Chen Jing Liu Bohan Zhuang Mingkui Tan Chunhua Shen MQ 34 10 0 14 Jul 2020
Bayesian Bits: Unifying Quantization and Pruning M. V. Baalen Christos Louizos Markus Nagel Rana Ali Amjad Ying Wang Tijmen Blankevoort Max Welling MQ 18 114 0 14 May 2020
HCM: Hardware-Aware Complexity Metric for Neural Network Architectures Alex Karbachevsky Chaim Baskin Evgenii Zheltonozhskii Yevgeny Yermolin F. Gabbay A. Bronstein A. Mendelson 37 11 0 19 Apr 2020
Ordering Chaos: Memory-Aware Scheduling of Irregularly Wired Neural Networks for Edge Devices Byung Hoon Ahn Jinwon Lee J. Lin Hsin-Pai Cheng Jilei Hou H. Esmaeilzadeh 76 55 0 04 Mar 2020
Resource-Efficient Neural Networks for Embedded Systems Wolfgang Roth Günther Schindler Lukas Pfeifenberger Robert Peharz Sebastian Tschiatschek Holger Fröning Franz Pernkopf Zoubin Ghahramani 34 47 0 07 Jan 2020
Mixed-Precision Quantized Neural Network with Progressively Decreasing Bitwidth For Image Classification and Object Detection Tianshu Chu Qin Luo Jie Yang Xiaolin Huang MQ 24 6 0 29 Dec 2019
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 40 151 0 29 Dec 2019
Towards Efficient Training for Neural Network Quantization Qing Jin Linjie Yang Zhenyu A. Liao MQ 21 42 0 21 Dec 2019
QKD: Quantization-aware Knowledge Distillation Jangho Kim Yash Bhalgat Jinwon Lee Chirag I. Patel Nojun Kwak MQ 26 64 0 28 Nov 2019
Iteratively Training Look-Up Tables for Network Quantization Fabien Cardinaux Stefan Uhlich K. Yoshiyama Javier Alonso García Lukas Mauch Stephen Tiedemann Thomas Kemp Akira Nakamura MQ 27 16 0 12 Nov 2019
Structured Binary Neural Networks for Image Recognition Bohan Zhuang Chunhua Shen Mingkui Tan Peng Chen Lingqiao Liu Ian Reid MQ 24 17 0 22 Sep 2019
Effective Training of Convolutional Neural Networks with Low-bitwidth Weights and Activations Bohan Zhuang Jing Liu Mingkui Tan Lingqiao Liu Ian Reid Chunhua Shen MQ 29 45 0 10 Aug 2019
Memory-Driven Mixed Low Precision Quantization For Enabling Deep Network Inference On Microcontrollers Manuele Rusci Alessandro Capotondi Luca Benini MQ 27 74 0 30 May 2019
Mixed Precision DNNs: All you need is a good parametrization Stefan Uhlich Lukas Mauch Fabien Cardinaux K. Yoshiyama Javier Alonso García Stephen Tiedemann Thomas Kemp Akira Nakamura MQ 27 38 0 27 May 2019