Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2501.09531
Cited By
MOGNET: A Mux-residual quantized Network leveraging Online-Generated weights
17 January 2025
Van Thien Nguyen
William Guicquero
Gilles Sicard
MQ
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"MOGNET: A Mux-residual quantized Network leveraging Online-Generated weights"
21 / 21 papers shown
Title
Towards Efficient Tensor Decomposition-Based DNN Model Compression with Optimization Framework
Miao Yin
Yang Sui
Siyu Liao
Bo Yuan
49
81
0
26 Jul 2021
Compressing Deep Convolutional Neural Networks by Stacking Low-dimensional Binary Convolution Filters
Weichao Lan
Liang Lan
MQ
38
8
0
06 Oct 2020
Rethinking Depthwise Separable Convolutions: How Intra-Kernel Correlations Lead to Improved MobileNets
D. Haase
Manuel Amthor
52
133
0
30 Mar 2020
Scalable Model Compression by Entropy Penalized Reparameterization
Deniz Oktay
Johannes Ballé
Saurabh Singh
Abhinav Shrivastava
65
43
0
15 Jun 2019
Learned Step Size Quantization
S. K. Esser
J. McKinstry
Deepika Bablani
R. Appuswamy
D. Modha
MQ
75
810
0
21 Feb 2019
Squeeze-and-Excitation Networks
Jie Hu
Li Shen
Samuel Albanie
Gang Sun
Enhua Wu
427
26,568
0
05 Sep 2017
ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices
Xiangyu Zhang
Xinyu Zhou
Mengxiao Lin
Jian Sun
AI4TS
149
6,886
0
04 Jul 2017
Residual Attention Network for Image Classification
Fei Wang
Mengqing Jiang
Chao Qian
Shuo Yang
Cheng Li
Honggang Zhang
Xiaogang Wang
Xiaoou Tang
117
3,313
0
23 Apr 2017
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
1.2K
20,900
0
17 Apr 2017
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Zhuowen Tu
Kaiming He
522
10,351
0
16 Nov 2016
Xception: Deep Learning with Depthwise Separable Convolutions
François Chollet
MDE
BDL
PINN
1.5K
14,618
0
07 Oct 2016
Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations
Itay Hubara
Matthieu Courbariaux
Daniel Soudry
Ran El-Yaniv
Yoshua Bengio
MQ
160
1,870
0
22 Sep 2016
Ternary Weight Networks
Fengfu Li
Bin Liu
Xiaoxing Wang
Bo Zhang
Junchi Yan
MQ
81
525
0
16 May 2016
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
Martín Abadi
Ashish Agarwal
P. Barham
E. Brevdo
Zhiwen Chen
...
Pete Warden
Martin Wattenberg
Martin Wicke
Yuan Yu
Xiaoqiang Zheng
289
11,150
0
14 Mar 2016
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.3K
194,510
0
10 Dec 2015
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding
Song Han
Huizi Mao
W. Dally
3DGS
263
8,862
0
01 Oct 2015
Learning both Weights and Connections for Efficient Neural Networks
Song Han
Jeff Pool
J. Tran
W. Dally
CVBM
316
6,709
0
08 Jun 2015
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.1K
150,364
0
22 Dec 2014
Reservoir Computing using Cellular Automata
Özgür Yılmaz
29
31
0
01 Oct 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
1.7K
100,529
0
04 Sep 2014
Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation
Yoshua Bengio
Nicholas Léonard
Aaron Courville
398
3,157
0
15 Aug 2013
1