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Learning sparse auto-encoders for green AI image coding

Learning sparse auto-encoders for green AI image coding

9 September 2022
Cyprien Gille
F. Guyard
Marc Antonini
Michel Barlaud
ArXivPDFHTML

Papers citing "Learning sparse auto-encoders for green AI image coding"

16 / 16 papers shown
Title
The Carbon Footprint of Machine Learning Training Will Plateau, Then
  Shrink
The Carbon Footprint of Machine Learning Training Will Plateau, Then Shrink
David A. Patterson
Joseph E. Gonzalez
Urs Holzle
Quoc V. Le
Chen Liang
Lluís-Miquel Munguía
D. Rothchild
David R. So
Maud Texier
J. Dean
AI4CE
62
239
0
11 Apr 2022
CompressAI: a PyTorch library and evaluation platform for end-to-end
  compression research
CompressAI: a PyTorch library and evaluation platform for end-to-end compression research
Jean Bégaint
Fabien Racapé
Simon Feltman
Akshay Pushparaja
VLM
42
422
0
05 Nov 2020
High-Fidelity Generative Image Compression
High-Fidelity Generative Image Compression
Fabian Mentzer
G. Toderici
Michael Tschannen
E. Agustsson
76
470
0
17 Jun 2020
Computationally Efficient Neural Image Compression
Computationally Efficient Neural Image Compression
Nick Johnston
Elad Eban
A. Gordon
Johannes Ballé
40
54
0
18 Dec 2019
Green AI
Green AI
Roy Schwartz
Jesse Dodge
Noah A. Smith
Oren Etzioni
85
1,124
0
22 Jul 2019
Energy and Policy Considerations for Deep Learning in NLP
Energy and Policy Considerations for Deep Learning in NLP
Emma Strubell
Ananya Ganesh
Andrew McCallum
53
2,633
0
05 Jun 2019
Deconstructing Lottery Tickets: Zeros, Signs, and the Supermask
Deconstructing Lottery Tickets: Zeros, Signs, and the Supermask
Hattie Zhou
Janice Lan
Rosanne Liu
J. Yosinski
UQCV
49
386
0
03 May 2019
Learning Sparse Neural Networks via Sensitivity-Driven Regularization
Learning Sparse Neural Networks via Sensitivity-Driven Regularization
Enzo Tartaglione
S. Lepsøy
Attilio Fiandrotti
Gianluca Francini
36
69
0
28 Oct 2018
Joint Autoregressive and Hierarchical Priors for Learned Image
  Compression
Joint Autoregressive and Hierarchical Priors for Learned Image Compression
David C. Minnen
Johannes Ballé
G. Toderici
60
1,268
0
08 Sep 2018
Deep Convolutional AutoEncoder-based Lossy Image Compression
Deep Convolutional AutoEncoder-based Lossy Image Compression
Zhengxue Cheng
Heming Sun
Masaru Takeuchi
J. Katto
47
178
0
25 Apr 2018
The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks
The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks
Jonathan Frankle
Michael Carbin
177
3,433
0
09 Mar 2018
Data-Driven Sparse Structure Selection for Deep Neural Networks
Data-Driven Sparse Structure Selection for Deep Neural Networks
Zehao Huang
Naiyan Wang
79
561
0
05 Jul 2017
Lossy Image Compression with Compressive Autoencoders
Lossy Image Compression with Compressive Autoencoders
Lucas Theis
Wenzhe Shi
Andrew Cunningham
Ferenc Huszár
59
1,050
0
01 Mar 2017
Learning the Number of Neurons in Deep Networks
Learning the Number of Neurons in Deep Networks
J. Álvarez
Mathieu Salzmann
130
413
0
19 Nov 2016
End-to-end Optimized Image Compression
End-to-end Optimized Image Compression
Johannes Ballé
Valero Laparra
Eero P. Simoncelli
DRL
73
1,701
0
05 Nov 2016
Classification and regression using an outer approximation
  projection-gradient method
Classification and regression using an outer approximation projection-gradient method
Michel Barlaud
Wafa Belhajali
P. Combettes
L. Fillatre
29
24
0
06 Jun 2015
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