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Deep Task-Based Quantization

Deep Task-Based Quantization

1 August 2019
Nir Shlezinger
Yonina C. Eldar
    MQ
ArXivPDFHTML

Papers citing "Deep Task-Based Quantization"

14 / 14 papers shown
Title
Learned Factor Graphs for Inference from Stationary Time Sequences
Learned Factor Graphs for Inference from Stationary Time Sequences
Nir Shlezinger
Nariman Farsad
Yonina C. Eldar
Andrea J. Goldsmith
26
24
0
05 Jun 2020
DeepSIC: Deep Soft Interference Cancellation for Multiuser MIMO
  Detection
DeepSIC: Deep Soft Interference Cancellation for Multiuser MIMO Detection
Nir Shlezinger
Rong Fu
Yonina C. Eldar
55
102
0
08 Feb 2020
Deep Convolutional Compression for Massive MIMO CSI Feedback
Deep Convolutional Compression for Massive MIMO CSI Feedback
Qianqian Yang
Mahdi Boloursaz Mashhadi
Deniz Gündüz
15
57
0
02 Jul 2019
ViterbiNet: A Deep Learning Based Viterbi Algorithm for Symbol Detection
ViterbiNet: A Deep Learning Based Viterbi Algorithm for Symbol Detection
Nir Shlezinger
Nariman Farsad
Yonina C. Eldar
Andrea J. Goldsmith
39
142
0
26 May 2019
Deep Signal Recovery with One-Bit Quantization
Deep Signal Recovery with One-Bit Quantization
Shahin Khobahi
Naveed Naimipour
M. Soltanalian
Yonina C. Eldar
55
56
0
30 Nov 2018
One-Bit OFDM Receivers via Deep Learning
One-Bit OFDM Receivers via Deep Learning
Eren Balevi
J. Andrews
MQ
68
96
0
02 Nov 2018
Towards Image Understanding from Deep Compression without Decoding
Towards Image Understanding from Deep Compression without Decoding
Robert Torfason
Fabian Mentzer
E. Agustsson
Michael Tschannen
Radu Timofte
Luc Van Gool
AI4CE
32
153
0
16 Mar 2018
Soft-to-Hard Vector Quantization for End-to-End Learning Compressible
  Representations
Soft-to-Hard Vector Quantization for End-to-End Learning Compressible Representations
E. Agustsson
Fabian Mentzer
Michael Tschannen
Lukas Cavigelli
Radu Timofte
Luca Benini
Luc Van Gool
MQ
34
481
0
03 Apr 2017
Improved Lossy Image Compression with Priming and Spatially Adaptive Bit
  Rates for Recurrent Networks
Improved Lossy Image Compression with Priming and Spatially Adaptive Bit Rates for Recurrent Networks
Nick Johnston
Damien Vincent
David C. Minnen
Michele Covell
Saurabh Singh
Troy T. Chinen
S. Hwang
Joel Shor
G. Toderici
18
372
0
29 Mar 2017
Soft Weight-Sharing for Neural Network Compression
Soft Weight-Sharing for Neural Network Compression
Karen Ullrich
Edward Meeds
Max Welling
48
415
0
13 Feb 2017
End-to-end Optimized Image Compression
End-to-end Optimized Image Compression
Johannes Ballé
Valero Laparra
Eero P. Simoncelli
DRL
57
1,696
0
05 Nov 2016
Quantized Neural Networks: Training Neural Networks with Low Precision
  Weights and Activations
Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations
Itay Hubara
Matthieu Courbariaux
Daniel Soudry
Ran El-Yaniv
Yoshua Bengio
MQ
68
1,852
0
22 Sep 2016
Full Resolution Image Compression with Recurrent Neural Networks
Full Resolution Image Compression with Recurrent Neural Networks
G. Toderici
Damien Vincent
Nick Johnston
S. Hwang
David C. Minnen
Joel Shor
Michele Covell
GAN
35
825
0
18 Aug 2016
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained
  Quantization and Huffman Coding
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding
Song Han
Huizi Mao
W. Dally
3DGS
116
8,793
0
01 Oct 2015
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