Relaxed Quantization for Discretized Neural Networks

3 October 2018

Papers citing "Relaxed Quantization for Discretized Neural Networks"

38 / 88 papers shown

Title
Single-path Bit Sharing for Automatic Loss-aware Model Compression Jing Liu Bohan Zhuang Peng Chen Chunhua Shen Jianfei Cai Mingkui Tan MQ 13 7 0 13 Jan 2021
Recurrence of Optimum for Training Weight and Activation Quantized Networks Ziang Long Penghang Yin Jack Xin MQ 25 3 0 10 Dec 2020
Maximin Optimization for Binary Regression Nisan Chiprut Amir Globerson A. Wiesel MQ 6 0 0 10 Oct 2020
One Weight Bitwidth to Rule Them All Ting-Wu Chin P. Chuang Vikas Chandra Diana Marculescu MQ 12 25 0 22 Aug 2020
FATNN: Fast and Accurate Ternary Neural Networks Peng Chen Bohan Zhuang Chunhua Shen MQ 4 15 0 12 Aug 2020
Differentiable Joint Pruning and Quantization for Hardware Efficiency Ying Wang Yadong Lu Tijmen Blankevoort MQ 17 71 0 20 Jul 2020
DBQ: A Differentiable Branch Quantizer for Lightweight Deep Neural Networks Hassan Dbouk Hetul Sanghvi M. Mehendale Naresh R Shanbhag MQ 9 9 0 19 Jul 2020
AUSN: Approximately Uniform Quantization by Adaptively Superimposing Non-uniform Distribution for Deep Neural Networks Fangxin Liu Wenbo Zhao Yanzhi Wang Changzhi Dai Li Jiang MQ 17 3 0 08 Jul 2020
Accelerating Neural Network Inference by Overflow Aware Quantization Hongwei Xie Shuo Zhang Huanghao Ding Yafei Song Baitao Shao Conggang Hu Lingyi Cai Mingyang Li MQ 6 0 0 27 May 2020
Bayesian Bits: Unifying Quantization and Pruning M. V. Baalen Christos Louizos Markus Nagel Rana Ali Amjad Ying Wang Tijmen Blankevoort Max Welling MQ 16 114 0 14 May 2020
Up or Down? Adaptive Rounding for Post-Training Quantization Markus Nagel Rana Ali Amjad M. V. Baalen Christos Louizos Tijmen Blankevoort MQ 8 549 0 22 Apr 2020
A Data and Compute Efficient Design for Limited-Resources Deep Learning Mirgahney Mohamed Gabriele Cesa Taco S. Cohen Max Welling MedIm 19 18 0 21 Apr 2020
LSQ+: Improving low-bit quantization through learnable offsets and better initialization Yash Bhalgat Jinwon Lee Markus Nagel Tijmen Blankevoort Nojun Kwak MQ 15 212 0 20 Apr 2020
Role-Wise Data Augmentation for Knowledge Distillation Jie Fu Xue Geng Zhijian Duan Bohan Zhuang Xingdi Yuan Adam Trischler Jie Lin C. Pal Hao Dong 17 15 0 19 Apr 2020
Generative Low-bitwidth Data Free Quantization Shoukai Xu Haokun Li Bohan Zhuang Jing Liu Jiezhang Cao Chuangrun Liang Mingkui Tan MQ 11 126 0 07 Mar 2020
Propagating Asymptotic-Estimated Gradients for Low Bitwidth Quantized Neural Networks Jun Chen Yong Liu Hao Zhang Shengnan Hou Jian Yang MQ 9 7 0 04 Mar 2020
Training Binary Neural Networks using the Bayesian Learning Rule Xiangming Meng Roman Bachmann Mohammad Emtiyaz Khan BDL MQ 17 40 0 25 Feb 2020
Post-training Quantization with Multiple Points: Mixed Precision without Mixed Precision Xingchao Liu Mao Ye Dengyong Zhou Qiang Liu MQ 6 42 0 20 Feb 2020
$Gradient $\ell_1$ Regularization for Quantization Robustness$ Gradient $\ell_1$ Regularization for Quantization Robustness Milad Alizadeh Arash Behboodi M. V. Baalen Christos Louizos Tijmen Blankevoort Max Welling MQ 12 8 0 18 Feb 2020
Automatic Pruning for Quantized Neural Networks Luis Guerra Bohan Zhuang Ian Reid Tom Drummond MQ 6 21 0 03 Feb 2020
Resource-Efficient Neural Networks for Embedded Systems Wolfgang Roth Günther Schindler Lukas Pfeifenberger Robert Peharz Sebastian Tschiatschek Holger Fröning Franz Pernkopf Zoubin Ghahramani 26 47 0 07 Jan 2020
Sparse Weight Activation Training Md Aamir Raihan Tor M. Aamodt 32 72 0 07 Jan 2020
Adaptive Loss-aware Quantization for Multi-bit Networks Zhongnan Qu Zimu Zhou Yun Cheng Lothar Thiele MQ 25 53 0 18 Dec 2019
Semi-Relaxed Quantization with DropBits: Training Low-Bit Neural Networks via Bit-wise Regularization J. H. Lee Jihun Yun Sung Ju Hwang Eunho Yang MQ 10 0 0 29 Nov 2019
Ternary MobileNets via Per-Layer Hybrid Filter Banks Dibakar Gope Jesse G. Beu Urmish Thakker Matthew Mattina MQ 22 15 0 04 Nov 2019
Mirror Descent View for Neural Network Quantization Thalaiyasingam Ajanthan Kartik Gupta Philip H. S. Torr Richard I. Hartley P. Dokania MQ 9 23 0 18 Oct 2019
AI Benchmark: All About Deep Learning on Smartphones in 2019 Andrey D. Ignatov Radu Timofte Andrei Kulik Seungsoo Yang Ke Wang Felix Baum Max Wu Lirong Xu Luc Van Gool ELM 13 217 0 15 Oct 2019
Bit Efficient Quantization for Deep Neural Networks Prateeth Nayak David C. Zhang S. Chai MQ 17 43 0 07 Oct 2019
QuaRL: Quantization for Fast and Environmentally Sustainable Reinforcement Learning Srivatsan Krishnan Maximilian Lam Sharad Chitlangia Zishen Wan Gabriel Barth-Maron Aleksandra Faust Vijay Janapa Reddi MQ 13 22 0 02 Oct 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 13 44 0 10 Aug 2019
Scalable Model Compression by Entropy Penalized Reparameterization Deniz Oktay Johannes Ballé Saurabh Singh Abhinav Shrivastava 11 42 0 15 Jun 2019
Data-Free Quantization Through Weight Equalization and Bias Correction Markus Nagel M. V. Baalen Tijmen Blankevoort Max Welling MQ 17 499 0 11 Jun 2019
Instant Quantization of Neural Networks using Monte Carlo Methods Gonçalo Mordido Matthijs Van Keirsbilck A. Keller MQ 11 9 0 29 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 11 38 0 27 May 2019
Dream Distillation: A Data-Independent Model Compression Framework Kartikeya Bhardwaj Naveen Suda R. Marculescu DD 11 54 0 17 May 2019
Training Quantized Neural Networks with a Full-precision Auxiliary Module Bohan Zhuang Lingqiao Liu Mingkui Tan Chunhua Shen Ian Reid MQ 15 62 0 27 Mar 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
Variational Optimization J. Staines David Barber DRL 57 53 0 18 Dec 2012