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The Untapped Potential of Off-the-Shelf Convolutional Neural Networks

The Untapped Potential of Off-the-Shelf Convolutional Neural Networks

17 March 2021
Matthew J. Inkawhich
Nathan Inkawhich
Eric K. Davis
H. Li
Yiran Chen
    BDL
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Papers citing "The Untapped Potential of Off-the-Shelf Convolutional Neural Networks"

4 / 4 papers shown
Title
High-Performance Large-Scale Image Recognition Without Normalization
High-Performance Large-Scale Image Recognition Without Normalization
Andrew Brock
Soham De
Samuel L. Smith
Karen Simonyan
VLM
223
512
0
11 Feb 2021
Pruning and Quantization for Deep Neural Network Acceleration: A Survey
Pruning and Quantization for Deep Neural Network Acceleration: A Survey
Tailin Liang
C. Glossner
Lei Wang
Shaobo Shi
Xiaotong Zhang
MQ
150
674
0
24 Jan 2021
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Z. Tu
Kaiming He
297
10,225
0
16 Nov 2016
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
271
5,327
0
05 Nov 2016
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