Trained Quantization Thresholds for Accurate and Efficient Fixed-Point Inference of Deep Neural Networks

19 March 2019

Papers citing "Trained Quantization Thresholds for Accurate and Efficient Fixed-Point Inference of Deep Neural Networks"

39 / 39 papers shown

Title
Dedicated Inference Engine and Binary-Weight Neural Networks for Lightweight Instance Segmentation Tse-Wei Chen Wei Tao Dongyue Zhao Kazuhiro Mima Tadayuki Ito Kinya Osa Masami Kato MQ 36 0 0 03 Jan 2025
On the Impact of White-box Deployment Strategies for Edge AI on Latency and Model Performance Jaskirat Singh Bram Adams Ahmed E. Hassan VLM 45 0 0 01 Nov 2024
P $^2$ -ViT: Power-of-Two Post-Training Quantization and Acceleration for Fully Quantized Vision Transformer Huihong Shi Xin Cheng Wendong Mao Zhongfeng Wang MQ 48 3 0 30 May 2024
xTern: Energy-Efficient Ternary Neural Network Inference on RISC-V-Based Edge Systems Georg Rutishauser Joan Mihali Moritz Scherer Luca Benini 32 1 0 29 May 2024
Selective Focus: Investigating Semantics Sensitivity in Post-training Quantization for Lane Detection Yunqian Fan Xiuying Wei Ruihao Gong Yuqing Ma Xiangguo Zhang Qi Zhang Xianglong Liu MQ 40 2 0 10 May 2024
AdaQAT: Adaptive Bit-Width Quantization-Aware Training Cédric Gernigon Silviu-Ioan Filip Olivier Sentieys Clément Coggiola Mickael Bruno 28 2 0 22 Apr 2024
Efficient Neural PDE-Solvers using Quantization Aware Training W.V.S.O. van den Dool Tijmen Blankevoort Max Welling Yuki M. Asano MQ 38 3 0 14 Aug 2023
MRQ:Support Multiple Quantization Schemes through Model Re-Quantization Manasa Manohara Sankalp Dayal Tarqi Afzal Rahul Bakshi Kahkuen Fu MQ 24 0 0 01 Aug 2023
Free Bits: Latency Optimization of Mixed-Precision Quantized Neural Networks on the Edge Georg Rutishauser Francesco Conti Luca Benini MQ 31 5 0 06 Jul 2023
$$\rm A^2Q$: Aggregation-Aware Quantization for Graph Neural Networks$ $\rm A^2Q$ : Aggregation-Aware Quantization for Graph Neural Networks Zeyu Zhu Fanrong Li Zitao Mo Qinghao Hu Gang Li Zejian Liu Xiaoyao Liang Jian Cheng GNN MQ 34 4 0 01 Feb 2023
QFT: Post-training quantization via fast joint finetuning of all degrees of freedom Alexander Finkelstein Ella Fuchs Idan Tal Mark Grobman Niv Vosco Eldad Meller MQ 32 6 0 05 Dec 2022
Realistic Bokeh Effect Rendering on Mobile GPUs, Mobile AI & AIM 2022 challenge: Report Andrey D. Ignatov Radu Timofte Jin Zhang Feng Zhang G. Yu ... Mingyang Qian Huixin Ma Yanan Li Xiaotao Wang Lei Lei 15 10 0 07 Nov 2022
Efficient and Accurate Quantized Image Super-Resolution on Mobile NPUs, Mobile AI & AIM 2022 challenge: Report Andrey D. Ignatov Radu Timofte Maurizio Denna Abdelbadie Younes Ganzorig Gankhuyag ... Jing Liu Garas Gendy Nabil Sabor J. Hou Guanghui He SupR MQ 26 32 0 07 Nov 2022
Efficient Single-Image Depth Estimation on Mobile Devices, Mobile AI & AIM 2022 Challenge: Report Andrey D. Ignatov Grigory Malivenko Radu Timofte Lukasz Treszczotko Xin-ke Chang ... Dongwon Park Seongmin Hong Joonhee Lee Seunggyu Lee Sengsub Chun 36 17 0 07 Nov 2022
Learned Smartphone ISP on Mobile GPUs with Deep Learning, Mobile AI & AIM 2022 Challenge: Report Andrey D. Ignatov Radu Timofte Shuai Liu Chaoyu Feng Furui Bai ... Xin Lou Wei Zhou Cong Pang Haina Qin Mingxuan Cai 27 24 0 07 Nov 2022
SQuAT: Sharpness- and Quantization-Aware Training for BERT Zheng Wang Juncheng Billy Li Shuhui Qu Florian Metze Emma Strubell MQ 24 7 0 13 Oct 2022
A Closer Look at Hardware-Friendly Weight Quantization Sungmin Bae Piotr Zielinski S. Chatterjee MQ 32 0 0 07 Oct 2022
SDQ: Stochastic Differentiable Quantization with Mixed Precision Xijie Huang Zhiqiang Shen Shichao Li Zechun Liu Xianghong Hu Jeffry Wicaksana Eric P. Xing Kwang-Ting Cheng MQ 27 33 0 09 Jun 2022
RAPQ: Rescuing Accuracy for Power-of-Two Low-bit Post-training Quantization Hongyi Yao Pu Li Jian Cao Xiangcheng Liu Chenying Xie Bin Wang MQ 29 12 0 26 Apr 2022
LilNetX: Lightweight Networks with EXtreme Model Compression and Structured Sparsification Sharath Girish Kamal Gupta Saurabh Singh Abhinav Shrivastava 38 11 0 06 Apr 2022
Resource-efficient Deep Neural Networks for Automotive Radar Interference Mitigation J. Rock Wolfgang Roth Máté Tóth Paul Meissner Franz Pernkopf 30 43 0 25 Jan 2022
Elastic-Link for Binarized Neural Network Jie Hu Ziheng Wu Vince Tan Zhilin Lu Mengze Zeng Enhua Wu MQ 30 6 0 19 Dec 2021
AnalogNets: ML-HW Co-Design of Noise-robust TinyML Models and Always-On Analog Compute-in-Memory Accelerator Chuteng Zhou F. García-Redondo Julian Büchel I. Boybat Xavier Timoneda Comas S. Nandakumar Shidhartha Das Abu Sebastian Manuel Le Gallo P. Whatmough 33 16 0 10 Nov 2021
Quantization of Generative Adversarial Networks for Efficient Inference: a Methodological Study Pavel Andreev Alexander Fritzler Dmitry Vetrov MQ 19 10 0 31 Aug 2021
Fast and Accurate Quantized Camera Scene Detection on Smartphones, Mobile AI 2021 Challenge: Report Andrey D. Ignatov Grigory Malivenko Radu Timofte Sheng Chen Xin Xia ... K. Lyda L. Khojoyan Abhishek Thanki Sayak Paul Shahid Siddiqui MQ 21 20 0 17 May 2021
Fast Camera Image Denoising on Mobile GPUs with Deep Learning, Mobile AI 2021 Challenge: Report Andrey D. Ignatov Kim Byeoung-su Radu Timofte Angeline Pouget Fenglong Song ... Lei Lei Chaoyu Feng L. Huang Z. Lei Feifei Chen 25 30 0 17 May 2021
Do All MobileNets Quantize Poorly? Gaining Insights into the Effect of Quantization on Depthwise Separable Convolutional Networks Through the Eyes of Multi-scale Distributional Dynamics S. Yun Alexander Wong MQ 27 25 0 24 Apr 2021
Differentiable Model Compression via Pseudo Quantization Noise Alexandre Défossez Yossi Adi Gabriel Synnaeve DiffM MQ 18 47 0 20 Apr 2021
End-to-end Keyword Spotting using Neural Architecture Search and Quantization David Peter Wolfgang Roth Franz Pernkopf MQ 27 14 0 14 Apr 2021
Training Multi-bit Quantized and Binarized Networks with A Learnable Symmetric Quantizer Phuoc Pham J. Abraham Jaeyong Chung MQ 40 11 0 01 Apr 2021
Distribution Adaptive INT8 Quantization for Training CNNs Kang Zhao Sida Huang Pan Pan Yinghan Li Yingya Zhang Zhenyu Gu Yinghui Xu MQ 24 63 0 09 Feb 2021
Bringing AI To Edge: From Deep Learning's Perspective Di Liu Hao Kong Xiangzhong Luo Weichen Liu Ravi Subramaniam 52 116 0 25 Nov 2020
Some Remarks on Replicated Simulated Annealing Vicent Gripon Matthias Löwe Franck Vermet 19 2 0 30 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
EasyQuant: Post-training Quantization via Scale Optimization Di Wu Qingming Tang Yongle Zhao Ming Zhang Ying Fu Debing Zhang MQ 30 75 0 30 Jun 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
Towards Efficient Training for Neural Network Quantization Qing Jin Linjie Yang Zhenyu A. Liao MQ 19 42 0 21 Dec 2019
QKD: Quantization-aware Knowledge Distillation Jangho Kim Yash Bhalgat Jinwon Lee Chirag I. Patel Nojun Kwak MQ 21 63 0 28 Nov 2019
Memory-Driven Mixed Low Precision Quantization For Enabling Deep Network Inference On Microcontrollers Manuele Rusci Alessandro Capotondi Luca Benini MQ 24 74 0 30 May 2019