Scaling up the training of Convolutional Neural Networks

被引:0
|
作者
Snir, Marc [1 ]
机构
[1] Univ Illinois, Urbana, IL 61801 USA
关键词
D O I
10.1109/IPDPSW.2019.00156
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
引用
收藏
页码:925 / 925
页数:1
相关论文
共 50 条
  • [1] Latent Training for Convolutional Neural Networks
    Huang, Zi
    Liu, Qi
    Chen, Zhiyuan
    Zhao, Yuming
    [J]. PROCEEDINGS OF 2015 INTERNATIONAL CONFERENCE ON ESTIMATION, DETECTION AND INFORMATION FUSION ICEDIF 2015, 2015, : 55 - 60
  • [2] EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
    Tan, Mingxing
    Le, Quoc V.
    [J]. INTERNATIONAL CONFERENCE ON MACHINE LEARNING, VOL 97, 2019, 97
  • [3] Efficient and accurate compound scaling for convolutional neural networks
    Lin, Chengmin
    Yang, Pengfei
    Wang, Quan
    Qiu, Zeyu
    Lv, Wenkai
    Wang, Zhenyi
    [J]. NEURAL NETWORKS, 2023, 167 : 787 - 797
  • [4] JOINT TRAINING OF CONVOLUTIONAL AND NON-CONVOLUTIONAL NEURAL NETWORKS
    Soltau, Hagen
    Saon, George
    Sainath, Tara N.
    [J]. 2014 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), 2014,
  • [5] Towards dropout training for convolutional neural networks
    Wu, Haibing
    Gu, Xiaodong
    [J]. NEURAL NETWORKS, 2015, 71 : 1 - 10
  • [6] CONVOLUTIONAL NEURAL NETWORKS TRAINING FOR AUTONOMOUS ROBOTICS
    Lozhkin, Alexander
    Maiorov, Konstantin
    Bozek, Pavol
    [J]. MANAGEMENT SYSTEMS IN PRODUCTION ENGINEERING, 2021, 29 (01) : 75 - 79
  • [7] Speeding up Convolutional Neural Network Training with Dynamic Precision Scaling and Flexible Multiplier-Accumulator
    Na, Taesik
    Mukhopadhyay, Saibal
    [J]. ISLPED '16: PROCEEDINGS OF THE 2016 INTERNATIONAL SYMPOSIUM ON LOW POWER ELECTRONICS AND DESIGN, 2016, : 58 - 63
  • [8] Power law scaling of test error versus number of training images for deep convolutional neural networks
    Sala, Vittorio
    [J]. MULTIMODAL SENSING: TECHNOLOGIES AND APPLICATIONS, 2019, 11059
  • [9] Training Strategies for Convolutional Neural Networks with Transformed Input
    Khandani, Masoumeh Kalantari
    Mikhael, Wasfy B.
    [J]. 2021 IEEE INTERNATIONAL MIDWEST SYMPOSIUM ON CIRCUITS AND SYSTEMS (MWSCAS), 2021, : 1058 - 1061
  • [10] Efficient Incremental Training for Deep Convolutional Neural Networks
    Tao, Yudong
    Tu, Yuexuan
    Shyu, Mei-Ling
    [J]. 2019 2ND IEEE CONFERENCE ON MULTIMEDIA INFORMATION PROCESSING AND RETRIEVAL (MIPR 2019), 2019, : 286 - 291