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ReLeQ: A Reinforcement Learning Approach for Deep Quantization of Neural Networks

5 November 2018

Ahmed T. Elthakeb

Prannoy Pilligundla

Fatemehsadat Mireshghallah

Amir Yazdanbakhsh

H. Esmaeilzadeh

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Papers citing "ReLeQ: A Reinforcement Learning Approach for Deep Quantization of Neural Networks"

36 / 36 papers shown

Title
ARQ: A Mixed-Precision Quantization Framework for Accurate and Certifiably Robust DNNs Yuchen Yang Shubham Ugare Yifan Zhao Gagandeep Singh Sasa Misailovic MQ 311 1 0 31 Oct 2024
From Algorithm to Hardware: A Survey on Efficient and Safe Deployment of Deep Neural NetworksIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2024 Xue Geng Zhe Wang Chunyun Chen Qing Xu Kaixin Xu ... Zhenghua Chen M. Aly Jie Lin Ruibing Jin Xiaoli Li 307 8 0 09 May 2024
SimQ-NAS: Simultaneous Quantization Policy and Neural Architecture Search S. N. Sridhar Maciej Szankin Fang Chen Sairam Sundaresan Anthony Sarah MQ 211 1 0 19 Dec 2023
MetaMix: Meta-state Precision Searcher for Mixed-precision Activation QuantizationAAAI Conference on Artificial Intelligence (AAAI), 2023 Han-Byul Kim Joo Hyung Lee Sungjoo Yoo Hong-Seok Kim MQ 211 9 0 12 Nov 2023
FLIQS: One-Shot Mixed-Precision Floating-Point and Integer Quantization Search Jordan Dotzel Gang Wu Andrew Li M. Umar Yun Ni ... Liqun Cheng Martin G. Dixon N. Jouppi Quoc V. Le Sheng Li MQ 285 5 0 07 Aug 2023
ArchGym: An Open-Source Gymnasium for Machine Learning Assisted Architecture DesignInternational Symposium on Computer Architecture (ISCA), 2023 Srivatsan Krishnan Amir Yazdanbaksh Yasmine Omri Jason J. Jabbour Ikechukwu Uchendu ... Behzad Boroujerdian Daniel Richins Devashree Tripathy Aleksandra Faust Vijay Janapa Reddi 233 17 0 15 Jun 2023
Towards Optimal Compression: Joint Pruning and Quantization Ben Zandonati Glenn Bucagu Adrian Alan Pol M. Pierini Olya Sirkin Tal Kopetz MQ 313 5 0 15 Feb 2023
CSMPQ:Class Separability Based Mixed-Precision QuantizationInternational Conference on Intelligent Computing (ICIC), 2022 Ming-Yu Wang Taisong Jin Miaohui Zhang Zhengtao Yu MQ 115 1 0 20 Dec 2022
Mixed-Precision Neural Networks: A Survey M. Rakka M. Fouda Pramod P. Khargonekar Fadi J. Kurdahi MQ 280 19 0 11 Aug 2022
Learnable Mixed-precision and Dimension Reduction Co-design for Low-storage ActivationIEEE Workshop on Signal Processing Systems (SiPS), 2022 Yu-Shan Tai Cheng-Yang Chang Chieh-Fang Teng AnYeu A. Wu 196 5 0 16 Jul 2022
Edge Inference with Fully Differentiable Quantized Mixed Precision Neural NetworksIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022 Clemens J. S. Schaefer Siddharth Joshi Shane Li Raul Blazquez MQ 162 14 0 15 Jun 2022
Modulating Regularization Frequency for Efficient Compression-Aware Model Training Dongsoo Lee S. Kwon Byeongwook Kim Jeongin Yun Baeseong Park Yongkweon Jeon 101 0 0 05 May 2021
Exploring Neural Networks Quantization via Layer-Wise Quantization Analysis Shachar Gluska Mark Grobman MQ 93 7 0 15 Dec 2020
Automated Model Compression by Jointly Applied Pruning and Quantization Wenting Tang Xingxing Wei Yue Liu MQ 99 7 0 12 Nov 2020
Differentiable Joint Pruning and Quantization for Hardware Efficiency Ying Wang Yadong Lu Tijmen Blankevoort MQ 282 85 0 20 Jul 2020
FracBits: Mixed Precision Quantization via Fractional Bit-Widths Linjie Yang Qing Jin MQ 246 92 0 04 Jul 2020
An Overview of Neural Network Compression James OÑeill AI4CE 332 112 0 05 Jun 2020
Modeling Survival in model-based Reinforcement Learning Saeed Moazami P. Doerschuk OffRL 85 1 0 18 Apr 2020
Rethinking Differentiable Search for Mixed-Precision Neural NetworksComputer Vision and Pattern Recognition (CVPR), 2020 Zhaowei Cai Nuno Vasconcelos MQ 136 138 0 13 Apr 2020
GeneCAI: Genetic Evolution for Acquiring Compact AIAnnual Conference on Genetic and Evolutionary Computation (GECCO), 2020 Mojan Javaheripi Mohammad Samragh T. Javidi F. Koushanfar 240 9 0 08 Apr 2020
CNN2Gate: Toward Designing a General Framework for Implementation of Convolutional Neural Networks on FPGA Alireza Ghaffari Yvon Savaria 156 10 0 06 Apr 2020
Efficient Bitwidth Search for Practical Mixed Precision Neural Network Yuhang Li Wei Wang Haoli Bai Yazhe Niu Xin Dong F. Yu MQ 147 23 0 17 Mar 2020
Ordering Chaos: Memory-Aware Scheduling of Irregularly Wired Neural Networks for Edge DevicesConference on Machine Learning and Systems (MLSys), 2020 Byung Hoon Ahn Jinwon Lee J. Lin Hsin-Pai Cheng Jilei Hou H. Esmaeilzadeh 177 57 0 04 Mar 2020
WaveQ: Gradient-Based Deep Quantization of Neural Networks through Sinusoidal Adaptive Regularization Ahmed T. Elthakeb Prannoy Pilligundla Fatemehsadat Mireshghallah T. Elgindi Charles-Alban Deledalle H. Esmaeilzadeh MQ 185 10 0 29 Feb 2020
BitPruning: Learning Bitlengths for Aggressive and Accurate QuantizationInternational Symposium on Circuits and Systems (ISCAS), 2020 Milovs Nikolić G. B. Hacene Ciaran Bannon Alberto Delmas Lascorz Matthieu Courbariaux Yoshua Bengio Vincent Gripon Andreas Moshovos MQ 164 25 0 08 Feb 2020
Chameleon: Adaptive Code Optimization for Expedited Deep Neural Network CompilationInternational Conference on Learning Representations (ICLR), 2020 Byung Hoon Ahn Prannoy Pilligundla Amir Yazdanbakhsh H. Esmaeilzadeh ODL 203 88 0 23 Jan 2020
Towards Efficient Training for Neural Network Quantization Qing Jin Linjie Yang Zhenyu A. Liao MQ 227 42 0 21 Dec 2019
AdaBits: Neural Network Quantization with Adaptive Bit-WidthsComputer Vision and Pattern Recognition (CVPR), 2019 Qing Jin Linjie Yang Zhenyu A. Liao MQ 209 143 0 20 Dec 2019
GroSS: Group-Size Series Decomposition for Grouped Architecture Search Henry Howard-Jenkins Yiwen Li V. Prisacariu 202 0 0 02 Dec 2019
Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural NetworksIEEE International Conference on Computer Vision (ICCV), 2019 Yazhe Niu Xianglong Liu Shenghu Jiang Tian-Hao Li Peng Hu Jiazhen Lin F. Yu Junjie Yan MQ 254 511 0 14 Aug 2019
Divide and Conquer: Leveraging Intermediate Feature Representations for Quantized Training of Neural NetworksInternational Conference on Machine Learning (ICML), 2019 Ahmed T. Elthakeb Prannoy Pilligundla Alex Cloninger H. Esmaeilzadeh MQ 251 9 0 14 Jun 2019
Reinforcement Learning and Adaptive Sampling for Optimized DNN Compilation Byung Hoon Ahn Prannoy Pilligundla H. Esmaeilzadeh 133 21 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 274 39 0 27 May 2019
SinReQ: Generalized Sinusoidal Regularization for Low-Bitwidth Deep Quantized Training Ahmed T. Elthakeb Prannoy Pilligundla H. Esmaeilzadeh MQ 191 9 0 04 May 2019
Towards Learning of Filter-Level Heterogeneous Compression of Convolutional Neural Networks Y. Zur Chaim Baskin Evgenii Zheltonozhskii Brian Chmiel Itay Evron A. Bronstein A. Mendelson MQ 178 7 0 22 Apr 2019
AutoQ: Automated Kernel-Wise Neural Network Quantization Qian Lou Feng Guo Lantao Liu Minje Kim Lei Jiang MQ 254 111 0 15 Feb 2019