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Maestro: Uncovering Low-Rank Structures via Trainable Decomposition
28 August 2023
Samuel Horváth
Stefanos Laskaridis
Shashank Rajput
Hongyi Wang
BDL
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Papers citing
"Maestro: Uncovering Low-Rank Structures via Trainable Decomposition"
5 / 55 papers shown
Title
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding
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Huizi Mao
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Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
VLM
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06 Feb 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
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04 Sep 2014
Speeding up Convolutional Neural Networks with Low Rank Expansions
Max Jaderberg
Andrea Vedaldi
Andrew Zisserman
128
1,463
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15 May 2014
Learning Ordered Representations with Nested Dropout
Oren Rippel
M. Gelbart
Ryan P. Adams
SSL
103
89
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05 Feb 2014
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