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2001.04062
Cited By
Modeling of Pruning Techniques for Deep Neural Networks Simplification
13 January 2020
Morteza Mousa Pasandi
M. Hajabdollahi
N. Karimi
S. Samavi
3DPC
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Papers citing
"Modeling of Pruning Techniques for Deep Neural Networks Simplification"
7 / 7 papers shown
Hysteresis Activation Function for Efficient Inference
Moshe Kimhi
Idan Kashani
A. Mendelson
Chaim Baskin
LLMSV
573
3
0
15 Nov 2024
Compressed Object Detection
Gedeon Muhawenayo
Georgia Gkioxari
259
4
0
04 Feb 2021
The Role of Regularization in Shaping Weight and Node Pruning Dependency and Dynamics
Yael Ben-Guigui
Jacob Goldberger
Tammy Riklin-Raviv
209
0
0
07 Dec 2020
Review: Deep Learning in Electron Microscopy
Jeffrey M. Ede
1.1K
95
0
17 Sep 2020
Acceleration of Convolutional Neural Network Using FFT-Based Split Convolutions
Kamran Chitsaz
M. Hajabdollahi
N. Karimi
S. Samavi
S. Shirani
243
30
0
27 Mar 2020
Splitting Convolutional Neural Network Structures for Efficient Inference
Emad Malekhosseini
M. Hajabdollahi
N. Karimi
S. Samavi
S. Shirani
158
9
0
09 Feb 2020
Convolutional Neural Network Pruning Using Filter Attenuation
International Conference on Information Photonics (ICIP), 2020
Morteza Mousa Pasandi
M. Hajabdollahi
N. Karimi
S. Samavi
S. Shirani
3DPC
97
5
0
09 Feb 2020
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