Automated Backend-Aware Post-Training Quantization

Automated Backend-Aware Post-Training Quantization

27 March 2021

Papers citing "Automated Backend-Aware Post-Training Quantization"

16 / 16 papers shown

Title
Efficient Execution of Quantized Deep Learning Models: A Compiler Approach Animesh Jain Shoubhik Bhattacharya Masahiro Masuda Vin Sharma Yida Wang MQ 56 33 0 18 Jun 2020
MLIR: A Compiler Infrastructure for the End of Moore's Law Chris Lattner M. Amini Uday Bondhugula Albert Cohen Andy Davis J. Pienaar River Riddle T. Shpeisman Nicolas Vasilache O. Zinenko VLM 34 249 0 25 Feb 2020
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks Mingxing Tan Quoc V. Le 3DV MedIm 81 17,950 0 28 May 2019
Low-bit Quantization of Neural Networks for Efficient Inference Yoni Choukroun Eli Kravchik Fan Yang P. Kisilev MQ 44 358 0 18 Feb 2019
Same, Same But Different - Recovering Neural Network Quantization Error Through Weight Factorization Eldad Meller Alexander Finkelstein Uri Almog Mark Grobman MQ 34 85 0 05 Feb 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 882 93,936 0 11 Oct 2018
Learning to Optimize Tensor Programs Tianqi Chen Lianmin Zheng Eddie Q. Yan Ziheng Jiang T. Moreau Luis Ceze Carlos Guestrin Arvind Krishnamurthy 53 396 0 21 May 2018
TVM: An Automated End-to-End Optimizing Compiler for Deep Learning Tianqi Chen T. Moreau Ziheng Jiang Lianmin Zheng Eddie Q. Yan ... Leyuan Wang Yuwei Hu Luis Ceze Carlos Guestrin Arvind Krishnamurthy 121 374 0 12 Feb 2018
MobileNetV2: Inverted Residuals and Linear Bottlenecks Mark Sandler Andrew G. Howard Menglong Zhu A. Zhmoginov Liang-Chieh Chen 129 19,124 0 13 Jan 2018
Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference Benoit Jacob S. Kligys Bo Chen Menglong Zhu Matthew Tang Andrew G. Howard Hartwig Adam Dmitry Kalenichenko MQ 122 3,090 0 15 Dec 2017
Binarized Neural Networks Itay Hubara Daniel Soudry Ran El-Yaniv MQ 117 1,349 0 08 Feb 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.3K 192,638 0 10 Dec 2015
Rethinking the Inception Architecture for Computer Vision Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jonathon Shlens Z. Wojna 3DV BDL 433 27,231 0 02 Dec 2015
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding Song Han Huizi Mao W. Dally 3DGS 189 8,793 0 01 Oct 2015
Distilling the Knowledge in a Neural Network Geoffrey E. Hinton Oriol Vinyals J. Dean FedML 198 19,448 0 09 Mar 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 860 99,991 0 04 Sep 2014