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Deep Unfolding: Model-Based Inspiration of Novel Deep Architectures

Deep Unfolding: Model-Based Inspiration of Novel Deep Architectures

9 September 2014
J. Hershey
Jonathan Le Roux
F. Weninger
    BDL
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Papers citing "Deep Unfolding: Model-Based Inspiration of Novel Deep Architectures"

8 / 58 papers shown
Title
Learning to Detect
Learning to Detect
N. Samuel
Tzvi Diskin
A. Wiesel
6
431
0
19 May 2018
ADMM-Net: A Deep Learning Approach for Compressive Sensing MRI
ADMM-Net: A Deep Learning Approach for Compressive Sensing MRI
Yan Yang
Jian Sun
Huibin Li
Zongben Xu
MedIm
24
126
0
19 May 2017
End-to-End Learning for Structured Prediction Energy Networks
End-to-End Learning for Structured Prediction Energy Networks
David Belanger
Bishan Yang
Andrew McCallum
14
136
0
16 Mar 2017
An Introduction to Deep Learning for the Physical Layer
An Introduction to Deep Learning for the Physical Layer
Tim O'Shea
J. Hoydis
AI4CE
89
2,172
0
02 Feb 2017
Onsager-corrected deep learning for sparse linear inverse problems
Onsager-corrected deep learning for sparse linear inverse problems
M. Borgerding
Philip Schniter
13
92
0
20 Jul 2016
Single-Channel Multi-Speaker Separation using Deep Clustering
Single-Channel Multi-Speaker Separation using Deep Clustering
Y. Isik
Jonathan Le Roux
Zhuo Chen
Shinji Watanabe
J. Hershey
21
425
0
07 Jul 2016
Discriminative Embeddings of Latent Variable Models for Structured Data
Discriminative Embeddings of Latent Variable Models for Structured Data
H. Dai
Bo Dai
Le Song
BDL
17
693
0
17 Mar 2016
Structured Prediction Energy Networks
Structured Prediction Energy Networks
David Belanger
Andrew McCallum
GNN
18
219
0
19 Nov 2015
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