Automated Quantization and Retraining for Neural Network Models Without Labeled Data

被引:0
|
作者
Thonglek, Kundjanasith [1 ]
Takahashi, Keichi [1 ,2 ]
Ichikawa, Kohei [1 ]
Nakasan, Chawanat [3 ]
Nakada, Hidemoto [4 ]
Takano, Ryousei [4 ]
Leelaprute, Pattara [3 ]
Iida, Hajimu [1 ]
机构
[1] Nara Institute of Science and Technology, Division of Information Science, Department of Science and Technology, Nara,630-0192, Japan
[2] Tohoku University, Cyberscience Center, Sendai,980-8578, Japan
[3] Kasetsart University, Faculty of Engineering, Department of Computer Engineering, Bangkok,10900, Thailand
[4] National Institute of Advanced Industrial Science and Technology, Tsukuba,305-8569, Japan
关键词
All Open Access; Gold;
D O I
暂无
中图分类号
学科分类号
摘要
59
引用
收藏
页码:73818 / 73834
相关论文
共 50 条
  • [1] Automated Quantization and Retraining for Neural Network Models Without Labeled Data
    Thonglek, Kundjanasith
    Takahashi, Keichi
    Ichikawa, Kohei
    Nakasan, Chawanat
    Nakada, Hidemoto
    Takano, Ryousei
    Leelaprute, Pattara
    Iida, Hajimu
    IEEE ACCESS, 2022, 10 : 73818 - 73834
  • [2] Improving Neural Network Quantization without Retraining using Outlier Channel Splitting
    Zhao, Ritchie
    Hu, Yuwei
    Dotzel, Jordan
    De Sa, Christopher
    Zhang, Zhiru
    INTERNATIONAL CONFERENCE ON MACHINE LEARNING, VOL 97, 2019, 97
  • [3] Retraining Quantized Neural Network Models with Unlabeled Data
    Thonglek, Kundjanasith
    Takahashi, Keichi
    Ichikawa, Kohei
    Nakasan, Chawanat
    Nakada, Hidemoto
    Takano, Ryousei
    Iida, Hajimu
    2020 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), 2020,
  • [4] ON QUANTIZATION OF IMAGE CLASSIFICATION NEURAL NETWORKS FOR COMPRESSION WITHOUT RETRAINING
    Tonin, Marcos
    de Queiroz, Ricardo L.
    2022 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, ICIP, 2022, : 916 - 920
  • [5] Retraining the neural network for data visualization
    Medvedev, Viktor
    Dzemyda, Gintautas
    ARTIFICIAL INTELLIGENCE APPLICATIONS AND INNOVATIONS, 2006, 204 : 27 - +
  • [6] Resizing codebook of vector quantization without retraining
    Lei Li
    Tingting Liu
    Chengyu Wang
    Minghui Qiu
    Cen Chen
    Ming Gao
    Aoying Zhou
    Multimedia Systems, 2023, 29 : 1499 - 1512
  • [7] Resizing codebook of vector quantization without retraining
    Li, Lei
    Liu, Tingting
    Wang, Chengyu
    Qiu, Minghui
    Chen, Cen
    Gao, Ming
    Zhou, Aoying
    MULTIMEDIA SYSTEMS, 2023, 29 (03) : 1499 - 1512
  • [8] Elastic structural analysis based on graph neural network without labeled data
    Song, Ling-Han
    Wang, Chen
    Fan, Jian-Sheng
    Lu, Hong-Ming
    COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING, 2023, 38 (10) : 1307 - 1323
  • [9] A retraining neural network technique for glass manufacturing data forecasting
    Nastac, I
    Costea, A
    2004 IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-4, PROCEEDINGS, 2004, : 2753 - 2758
  • [10] BenQ: Benchmarking Automated Quantization on Deep Neural Network Accelerators
    Wei, Zheng
    Zhang, Xingjun
    Li, Jingbo
    Ji, Zeyu
    Wei, Jia
    PROCEEDINGS OF THE 2022 DESIGN, AUTOMATION & TEST IN EUROPE CONFERENCE & EXHIBITION (DATE 2022), 2022, : 1479 - 1484