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Differentiable Search for Finding Optimal Quantization Strategy

10 April 2024

Papers citing "Differentiable Search for Finding Optimal Quantization Strategy"

27 / 27 papers shown

Title
MQBench: Towards Reproducible and Deployable Model Quantization Benchmark Yuhang Li Mingzhu Shen Jian Ma Yan Ren Mingxin Zhao Qi Zhang Ruihao Gong F. Yu Junjie Yan MQ 87 50 0 05 Nov 2021
Stochastic Precision Ensemble: Self-Knowledge Distillation for Quantized Deep Neural Networks Yoonho Boo Sungho Shin Jungwook Choi Wonyong Sung MQ 73 30 0 30 Sep 2020
Differentiable Joint Pruning and Quantization for Hardware Efficiency Ying Wang Yadong Lu Tijmen Blankevoort MQ 80 72 0 20 Jul 2020
Search What You Want: Barrier Panelty NAS for Mixed Precision Quantization Haibao Yu Qi Han Jianbo Li Jianping Shi Guangliang Cheng Bin Fan MQ 62 61 0 20 Jul 2020
EasyQuant: Post-training Quantization via Scale Optimization Di Wu Qingming Tang Yongle Zhao Ming Zhang Ying Fu Debing Zhang MQ 82 78 0 30 Jun 2020
Building a Manga Dataset "Manga109" with Annotations for Multimedia Applications Kiyoharu Aizawa Azuma Fujimoto Atsushi Otsubo Toru Ogawa Yusuke Matsui Koki Tsubota Hikaru Ikuta 99 76 0 09 May 2020
Up or Down? Adaptive Rounding for Post-Training Quantization Markus Nagel Rana Ali Amjad M. V. Baalen Christos Louizos Tijmen Blankevoort MQ 95 588 0 22 Apr 2020
Rethinking Differentiable Search for Mixed-Precision Neural Networks Zhaowei Cai Nuno Vasconcelos MQ 45 126 0 13 Apr 2020
Efficient Bitwidth Search for Practical Mixed Precision Neural Network Yuhang Li Wei Wang Haoli Bai Ruihao Gong Xin Dong F. Yu MQ 51 20 0 17 Mar 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 568 42,677 0 03 Dec 2019
Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks Ruihao Gong Xianglong Liu Shenghu Jiang Tian-Hao Li Peng Hu Jiazhen Lin F. Yu Junjie Yan MQ 77 459 0 14 Aug 2019
Data-Free Quantization Through Weight Equalization and Bias Correction Markus Nagel M. V. Baalen Tijmen Blankevoort Max Welling MQ 75 515 0 11 Jun 2019
Fighting Quantization Bias With Bias Alexander Finkelstein Uri Almog Mark Grobman MQ 77 57 0 07 Jun 2019
Towards Optimal Structured CNN Pruning via Generative Adversarial Learning Shaohui Lin Rongrong Ji Chenqian Yan Baochang Zhang Liujuan Cao QiXiang Ye Feiyue Huang David Doermann CVBM 56 510 0 22 Mar 2019
Learned Step Size Quantization S. K. Esser J. McKinstry Deepika Bablani R. Appuswamy D. Modha MQ 75 810 0 21 Feb 2019
HAQ: Hardware-Aware Automated Quantization with Mixed Precision Kuan-Chieh Wang Zhijian Liu Chengyue Wu Ji Lin Song Han MQ 129 884 0 21 Nov 2018
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks Xintao Wang Ke Yu Shixiang Wu Jinjin Gu Yihao Liu Chao Dong Chen Change Loy Yu Qiao Xiaoou Tang 178 3,741 0 01 Sep 2018
DARTS: Differentiable Architecture Search Hanxiao Liu Karen Simonyan Yiming Yang 208 4,375 0 24 Jun 2018
Quantizing deep convolutional networks for efficient inference: A whitepaper Raghuraman Krishnamoorthi MQ 141 1,021 0 21 Jun 2018
PACT: Parameterized Clipping Activation for Quantized Neural Networks Jungwook Choi Zhuo Wang Swagath Venkataramani P. Chuang Vijayalakshmi Srinivasan K. Gopalakrishnan MQ 80 955 0 16 May 2018
Efficient Neural Architecture Search via Parameter Sharing Hieu H. Pham M. Guan Barret Zoph Quoc V. Le J. Dean 117 2,770 0 09 Feb 2018
Enhanced Deep Residual Networks for Single Image Super-Resolution Bee Lim Sanghyun Son Heewon Kim Seungjun Nah Kyoung Mu Lee SupR 185 5,924 0 10 Jul 2017
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 490 5,385 0 05 Nov 2016
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network C. Ledig Lucas Theis Ferenc Huszár Jose Caballero Andrew Cunningham ... Andrew P. Aitken Alykhan Tejani J. Totz Zehan Wang Wenzhe Shi GAN 247 10,729 0 15 Sep 2016
Speeding up Convolutional Neural Networks with Low Rank Expansions Max Jaderberg Andrea Vedaldi Andrew Zisserman 138 1,465 0 15 May 2014
Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation Yoshua Bengio Nicholas Léonard Aaron Courville 401 3,158 0 15 Aug 2013
Speech Recognition with Deep Recurrent Neural Networks Alex Graves Abdel-rahman Mohamed Geoffrey E. Hinton 230 8,529 0 22 Mar 2013