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1405.3866
Cited By
Speeding up Convolutional Neural Networks with Low Rank Expansions
British Machine Vision Conference (BMVC), 2014
15 May 2014
Max Jaderberg
Andrea Vedaldi
Andrew Zisserman
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Papers citing
"Speeding up Convolutional Neural Networks with Low Rank Expansions"
50 / 667 papers shown
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Methods for Pruning Deep Neural Networks
IEEE Access (IEEE Access), 2020
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Salem Ameen
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Permute, Quantize, and Fine-tune: Efficient Compression of Neural Networks
Computer Vision and Pattern Recognition (CVPR), 2020
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Block-term Tensor Neural Networks
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Neural Information Processing Systems (NeurIPS), 2020
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Review: Deep Learning in Electron Microscopy
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ResNet-like Architecture with Low Hardware Requirements
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T-Basis: a Compact Representation for Neural Networks
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Anton Obukhov
M. Rakhuba
Stamatios Georgoulis
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Dynamic Group Convolution for Accelerating Convolutional Neural Networks
European Conference on Computer Vision (ECCV), 2020
Z. Su
Linpu Fang
Wenxiong Kang
D. Hu
M. Pietikäinen
Tianpeng Liu
250
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Operation-Aware Soft Channel Pruning using Differentiable Masks
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CoDiNet: Path Distribution Modeling with Consistency and Diversity for Dynamic Routing
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Huanyu Wang
Zequn Qin
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Xi Li
323
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A Feature-map Discriminant Perspective for Pruning Deep Neural Networks
Zejiang Hou
S. Kung
115
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PruneNet: Channel Pruning via Global Importance
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Joint Progressive Knowledge Distillation and Unsupervised Domain Adaptation
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Mohammadhadi Shateri
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Louis-Antoine Blais-Morin
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A flexible, extensible software framework for model compression based on the LC algorithm
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Miguel Á. Carreira-Perpiñán
157
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Low-Rank Nonlinear Decoding of
μ
μ
μ
-ECoG from the Primary Auditory Cortex
M. Emami
Mojtaba Sahraee Ardakan
Parthe Pandit
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S. Rangan
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Chia-Han Chiang
J. Viventi
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M. Ghatee
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Sanghyun Son
Radu Timofte
Kyoung Mu Lee
197
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TRP: Trained Rank Pruning for Efficient Deep Neural Networks
International Joint Conference on Artificial Intelligence (IJCAI), 2020
Yuhui Xu
Yuxi Li
Shuai Zhang
W. Wen
Botao Wang
Y. Qi
Yiran Chen
Weiyao Lin
H. Xiong
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168
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30 Apr 2020
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