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A Review of Meta-Reinforcement Learning for Deep Neural Networks
  Architecture Search

A Review of Meta-Reinforcement Learning for Deep Neural Networks Architecture Search

17 December 2018
Yesmina Jaâfra
J. Laurent
A. Deruyver
M. Naceur
    OOD
ArXivPDFHTML

Papers citing "A Review of Meta-Reinforcement Learning for Deep Neural Networks Architecture Search"

29 / 29 papers shown
Title
Efficient Progressive Neural Architecture Search
Efficient Progressive Neural Architecture Search
Juan-Manuel Perez-Rua
M. Baccouche
S. Pateux
48
44
0
01 Aug 2018
Speeding up the Hyperparameter Optimization of Deep Convolutional Neural
  Networks
Speeding up the Hyperparameter Optimization of Deep Convolutional Neural Networks
Tobias Hinz
Nicolás Navarro-Guerrero
S. Magg
S. Wermter
48
105
0
19 Jul 2018
Path-Level Network Transformation for Efficient Architecture Search
Path-Level Network Transformation for Efficient Architecture Search
Han Cai
Jiacheng Yang
Weinan Zhang
Song Han
Yong Yu
45
210
0
07 Jun 2018
Evolutionary Architecture Search For Deep Multitask Networks
Evolutionary Architecture Search For Deep Multitask Networks
J. Liang
Elliot Meyerson
Risto Miikkulainen
59
120
0
10 Mar 2018
Efficient Neural Architecture Search via Parameter Sharing
Efficient Neural Architecture Search via Parameter Sharing
Hieu H. Pham
M. Guan
Barret Zoph
Quoc V. Le
J. Dean
81
2,761
0
09 Feb 2018
Progressive Neural Architecture Search
Progressive Neural Architecture Search
Chenxi Liu
Barret Zoph
Maxim Neumann
Jonathon Shlens
Wei Hua
Li Li
Li Fei-Fei
Alan Yuille
Jonathan Huang
Kevin Patrick Murphy
77
1,986
0
02 Dec 2017
Simple And Efficient Architecture Search for Convolutional Neural
  Networks
Simple And Efficient Architecture Search for Convolutional Neural Networks
T. Elsken
J. H. Metzen
Frank Hutter
60
231
0
13 Nov 2017
Hierarchical Representations for Efficient Architecture Search
Hierarchical Representations for Efficient Architecture Search
Hanxiao Liu
Karen Simonyan
Oriol Vinyals
Chrisantha Fernando
Koray Kavukcuoglu
3DV
77
925
0
01 Nov 2017
EDEN: Evolutionary Deep Networks for Efficient Machine Learning
EDEN: Evolutionary Deep Networks for Efficient Machine Learning
Emmanuel Dufourq
Bruce A. Bassett
48
71
0
26 Sep 2017
A Brief Survey of Deep Reinforcement Learning
A Brief Survey of Deep Reinforcement Learning
Kai Arulkumaran
M. Deisenroth
Miles Brundage
Anil Anthony Bharath
OffRL
99
2,792
0
19 Aug 2017
A Genetic Programming Approach to Designing Convolutional Neural Network
  Architectures
A Genetic Programming Approach to Designing Convolutional Neural Network Architectures
Masanori Suganuma
Shinichi Shirakawa
T. Nagao
86
589
0
03 Apr 2017
Efficient Processing of Deep Neural Networks: A Tutorial and Survey
Efficient Processing of Deep Neural Networks: A Tutorial and Survey
Vivienne Sze
Yu-hsin Chen
Tien-Ju Yang
J. Emer
AAML
3DV
94
3,002
0
27 Mar 2017
Modularized Morphing of Neural Networks
Modularized Morphing of Neural Networks
Tao Wei
Changhu Wang
Chen Chen
27
20
0
12 Jan 2017
Designing Neural Network Architectures using Reinforcement Learning
Designing Neural Network Architectures using Reinforcement Learning
Bowen Baker
O. Gupta
Nikhil Naik
Ramesh Raskar
88
1,466
0
07 Nov 2016
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
389
5,362
0
05 Nov 2016
Xception: Deep Learning with Depthwise Separable Convolutions
Xception: Deep Learning with Depthwise Separable Convolutions
François Chollet
MDE
BDL
PINN
896
14,493
0
07 Oct 2016
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN
3DV
646
36,599
0
25 Aug 2016
Fast Bayesian Optimization of Machine Learning Hyperparameters on Large
  Datasets
Fast Bayesian Optimization of Machine Learning Hyperparameters on Large Datasets
Aaron Klein
Stefan Falkner
Simon Bartels
Philipp Hennig
Frank Hutter
AI4CE
62
547
0
23 May 2016
Inception-v4, Inception-ResNet and the Impact of Residual Connections on
  Learning
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
Christian Szegedy
Sergey Ioffe
Vincent Vanhoucke
Alexander A. Alemi
306
14,196
0
23 Feb 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.5K
192,638
0
10 Dec 2015
Max-Pooling Dropout for Regularization of Convolutional Neural Networks
Max-Pooling Dropout for Regularization of Convolutional Neural Networks
Haibing Wu
Xiaodong Gu
46
144
0
04 Dec 2015
Net2Net: Accelerating Learning via Knowledge Transfer
Net2Net: Accelerating Learning via Knowledge Transfer
Tianqi Chen
Ian Goodfellow
Jonathon Shlens
104
663
0
18 Nov 2015
Improved Semantic Representations From Tree-Structured Long Short-Term
  Memory Networks
Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks
Kai Sheng Tai
R. Socher
Christopher D. Manning
AIMat
122
3,117
0
28 Feb 2015
Going Deeper with Convolutions
Going Deeper with Convolutions
Christian Szegedy
Wei Liu
Yangqing Jia
P. Sermanet
Scott E. Reed
Dragomir Anguelov
D. Erhan
Vincent Vanhoucke
Andrew Rabinovich
342
43,511
0
17 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
1.0K
99,991
0
04 Sep 2014
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
1.2K
39,383
0
01 Sep 2014
Visualizing and Understanding Convolutional Networks
Visualizing and Understanding Convolutional Networks
Matthew D. Zeiler
Rob Fergus
FAtt
SSL
359
15,825
0
12 Nov 2013
Stochastic Pooling for Regularization of Deep Convolutional Neural
  Networks
Stochastic Pooling for Regularization of Deep Convolutional Neural Networks
Matthew D. Zeiler
Rob Fergus
135
990
0
16 Jan 2013
Representation Learning: A Review and New Perspectives
Representation Learning: A Review and New Perspectives
Yoshua Bengio
Aaron Courville
Pascal Vincent
OOD
SSL
188
12,384
0
24 Jun 2012
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