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Large-Scale Evolution of Image Classifiers
v1v2 (latest)

Large-Scale Evolution of Image Classifiers

3 March 2017
Esteban Real
Sherry Moore
Andrew Selle
Saurabh Saxena
Y. Suematsu
Jie Tan
Quoc V. Le
Alexey Kurakin
ArXiv (abs)PDFHTML

Papers citing "Large-Scale Evolution of Image Classifiers"

50 / 752 papers shown
Title
Evolving Deep Convolutional Neural Networks by Variable-length Particle
  Swarm Optimization for Image Classification
Evolving Deep Convolutional Neural Networks by Variable-length Particle Swarm Optimization for Image Classification
Bin Wang
Yizhou Sun
Bing Xue
Mengjie Zhang
147
179
0
17 Mar 2018
Learning Sparse Deep Feedforward Networks via Tree Skeleton Expansion
Learning Sparse Deep Feedforward Networks via Tree Skeleton Expansion
Zhourong Chen
Xiaopeng Li
Ningyu Zhang
192
2
0
16 Mar 2018
From Nodes to Networks: Evolving Recurrent Neural Networks
From Nodes to Networks: Evolving Recurrent Neural Networks
Aditya Rawal
Risto Miikkulainen
252
54
0
12 Mar 2018
Pseudo-task Augmentation: From Deep Multitask Learning to Intratask
  Sharing---and Back
Pseudo-task Augmentation: From Deep Multitask Learning to Intratask Sharing---and BackInternational Conference on Machine Learning (ICML), 2018
Elliot Meyerson
Risto Miikkulainen
204
46
0
11 Mar 2018
Evolutionary Architecture Search For Deep Multitask Networks
Evolutionary Architecture Search For Deep Multitask NetworksAnnual Conference on Genetic and Evolutionary Computation (GECCO), 2018
J. Liang
Elliot Meyerson
Risto Miikkulainen
193
129
0
10 Mar 2018
Transfer Learning with Neural AutoML
Transfer Learning with Neural AutoML
Catherine Wong
N. Houlsby
Yifeng Lu
Andrea Gesmundo
239
118
0
07 Mar 2018
Evolutionary Generative Adversarial Networks
Evolutionary Generative Adversarial NetworksIEEE Transactions on Evolutionary Computation (IEEE Trans. Evol. Comput.), 2018
Chaoyue Wang
Chang Xu
Xin Yao
Dacheng Tao
GAN
280
306
0
01 Mar 2018
Exploiting the Potential of Standard Convolutional Autoencoders for
  Image Restoration by Evolutionary Search
Exploiting the Potential of Standard Convolutional Autoencoders for Image Restoration by Evolutionary SearchInternational Conference on Machine Learning (ICML), 2018
Masanori Suganuma
Mete Ozay
Takayuki Okatani
292
90
0
01 Mar 2018
Demystifying Parallel and Distributed Deep Learning: An In-Depth
  Concurrency Analysis
Demystifying Parallel and Distributed Deep Learning: An In-Depth Concurrency AnalysisACM Computing Surveys (CSUR), 2018
Tal Ben-Nun
Torsten Hoefler
GNN
276
761
0
26 Feb 2018
Neural Architecture Search with Bayesian Optimisation and Optimal
  Transport
Neural Architecture Search with Bayesian Optimisation and Optimal Transport
Kirthevasan Kandasamy
Willie Neiswanger
J. Schneider
Barnabás Póczós
Eric Xing
448
642
0
11 Feb 2018
AMC: AutoML for Model Compression and Acceleration on Mobile Devices
AMC: AutoML for Model Compression and Acceleration on Mobile Devices
Yihui He
Ji Lin
Zhijian Liu
Hanrui Wang
Li Li
Song Han
389
1,427
0
10 Feb 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
404
2,909
0
09 Feb 2018
Regularized Evolution for Image Classifier Architecture Search
Regularized Evolution for Image Classifier Architecture Search
Esteban Real
A. Aggarwal
Yanping Huang
Quoc V. Le
902
3,201
0
05 Feb 2018
Effective Building Block Design for Deep Convolutional Neural Networks
  using Search
Effective Building Block Design for Deep Convolutional Neural Networks using Search
Jayanta K. Dutta
Jiayi Liu
Unmesh Kurup
Mohak Shah
3DV
153
11
0
25 Jan 2018
Dynamic Optimization of Neural Network Structures Using Probabilistic
  Modeling
Dynamic Optimization of Neural Network Structures Using Probabilistic Modeling
Shinichi Shirakawa
Yasushi Iwata
Youhei Akimoto
110
25
0
23 Jan 2018
Learning model-based strategies in simple environments with hierarchical
  q-networks
Learning model-based strategies in simple environments with hierarchical q-networks
Necati Alp Muyesser
Kyle Dunovan
Timothy D. Verstynen
52
1
0
20 Jan 2018
EffNet: An Efficient Structure for Convolutional Neural Networks
EffNet: An Efficient Structure for Convolutional Neural Networks
Ido Freeman
L. Roese-Koerner
A. Kummert
230
105
0
19 Jan 2018
MobileNetV2: Inverted Residuals and Linear Bottlenecks
MobileNetV2: Inverted Residuals and Linear Bottlenecks
Mark Sandler
Andrew G. Howard
Menglong Zhu
A. Zhmoginov
Liang-Chieh Chen
1.9K
22,400
0
13 Jan 2018
DENSER: Deep Evolutionary Network Structured Representation
DENSER: Deep Evolutionary Network Structured Representation
Filipe Assunção
Nuno Lourenço
Penousal Machado
B. Ribeiro
226
111
0
04 Jan 2018
ZOOpt: Toolbox for Derivative-Free Optimization
ZOOpt: Toolbox for Derivative-Free Optimization
Yu-Ren Liu
Yi-Qi Hu
Hong Qian
Chao Qian
Yang Yu
GP
157
31
0
31 Dec 2017
Finding Competitive Network Architectures Within a Day Using UCT
Finding Competitive Network Architectures Within a Day Using UCTInternational Conference on Data Science and Advanced Analytics (DSAA), 2017
Martin Wistuba
85
21
0
20 Dec 2017
Evolving Unsupervised Deep Neural Networks for Learning Meaningful
  Representations
Evolving Unsupervised Deep Neural Networks for Learning Meaningful Representations
Yizhou Sun
Gary G. Yen
Zhang Yi
171
136
0
13 Dec 2017
A Particle Swarm Optimization-based Flexible Convolutional Auto-Encoder
  for Image Classification
A Particle Swarm Optimization-based Flexible Convolutional Auto-Encoder for Image Classification
Yizhou Sun
Bing Xue
Mengjie Zhang
Gary G. Yen
181
135
0
13 Dec 2017
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
424
2,093
0
02 Dec 2017
Population Based Training of Neural Networks
Population Based Training of Neural Networks
Max Jaderberg
Valentin Dalibard
Simon Osindero
Wojciech M. Czarnecki
Jeff Donahue
...
Tim Green
Iain Dunning
Karen Simonyan
Chrisantha Fernando
Koray Kavukcuoglu
297
811
0
27 Nov 2017
MorphNet: Fast & Simple Resource-Constrained Structure Learning of Deep
  Networks
MorphNet: Fast & Simple Resource-Constrained Structure Learning of Deep Networks
A. Gordon
Elad Eban
Ofir Nachum
Bo Chen
Hao Wu
Tien-Ju Yang
Edward Choi
254
349
0
18 Nov 2017
Simple And Efficient Architecture Search for Convolutional Neural
  Networks
Simple And Efficient Architecture Search for Convolutional Neural Networks
T. Elsken
J. H. Metzen
Katharina Eggensperger
147
239
0
13 Nov 2017
NeST: A Neural Network Synthesis Tool Based on a Grow-and-Prune Paradigm
NeST: A Neural Network Synthesis Tool Based on a Grow-and-Prune Paradigm
Xiaoliang Dai
Hongxu Yin
N. Jha
DD
188
249
0
06 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
434
947
0
01 Nov 2017
Minimum Energy Quantized Neural Networks
Minimum Energy Quantized Neural Networks
Bert Moons
Koen Goetschalckx
Nick Van Berckelaer
Marian Verhelst
MQ
205
128
0
01 Nov 2017
Evolving Deep Convolutional Neural Networks for Image Classification
Evolving Deep Convolutional Neural Networks for Image ClassificationIEEE Transactions on Evolutionary Computation (IEEE TEVC), 2017
Yizhou Sun
Bing Xue
Mengjie Zhang
Gary G. Yen
ODL
259
627
0
30 Oct 2017
Gradient-free Policy Architecture Search and Adaptation
Gradient-free Policy Architecture Search and Adaptation
Sayna Ebrahimi
Anna Rohrbach
Trevor Darrell
94
30
0
16 Oct 2017
A systematic study of the class imbalance problem in convolutional
  neural networks
A systematic study of the class imbalance problem in convolutional neural networks
Mateusz Buda
A. Maki
Maciej A. Mazurowski
564
2,658
0
15 Oct 2017
Connectivity Learning in Multi-Branch Networks
Connectivity Learning in Multi-Branch Networks
Karim Ahmed
Lorenzo Torresani
168
28
0
27 Sep 2017
EDEN: Evolutionary Deep Networks for Efficient Machine Learning
EDEN: Evolutionary Deep Networks for Efficient Machine Learning
Emmanuel Dufourq
Bruce A. Bassett
134
77
0
26 Sep 2017
N2N Learning: Network to Network Compression via Policy Gradient
  Reinforcement Learning
N2N Learning: Network to Network Compression via Policy Gradient Reinforcement Learning
A. Ashok
Nicholas Rhinehart
Fares N. Beainy
Kris Kitani
216
176
0
18 Sep 2017
Evolution of Convolutional Highway Networks
Evolution of Convolutional Highway Networks
Oliver Kramer
90
11
0
11 Sep 2017
Squeeze-and-Excitation Networks
Squeeze-and-Excitation Networks
Jie Hu
Li Shen
Samuel Albanie
Gang Sun
Enhua Wu
1.8K
31,189
0
05 Sep 2017
Deep learning with convolutional neural networks for decoding and
  visualization of EEG pathology
Deep learning with convolutional neural networks for decoding and visualization of EEG pathology
R. Schirrmeister
Lukas A. W. Gemein
Katharina Eggensperger
Katharina Eggensperger
T. Ball
MedIm
271
171
0
26 Aug 2017
SMASH: One-Shot Model Architecture Search through HyperNetworks
SMASH: One-Shot Model Architecture Search through HyperNetworks
Andrew Brock
Theodore Lim
J. Ritchie
Nick Weston
399
790
0
17 Aug 2017
Towards Evolutional Compression
Towards Evolutional Compression
Yunhe Wang
Chang Xu
Jiayan Qiu
Chao Xu
Dacheng Tao
92
14
0
25 Jul 2017
Learning Transferable Architectures for Scalable Image Recognition
Learning Transferable Architectures for Scalable Image Recognition
Barret Zoph
Vijay Vasudevan
Jonathon Shlens
Quoc V. Le
681
5,988
0
21 Jul 2017
cvpaper.challenge in 2016: Futuristic Computer Vision through 1,600
  Papers Survey
cvpaper.challenge in 2016: Futuristic Computer Vision through 1,600 Papers Survey
Hirokatsu Kataoka
Soma Shirakabe
Yun He
S. Ueta
Teppei Suzuki
...
Ryousuke Takasawa
Masataka Fuchida
Yudai Miyashita
Kazushige Okayasu
Yuta Matsuzaki
213
1
0
20 Jul 2017
Efficient Architecture Search by Network Transformation
Efficient Architecture Search by Network Transformation
Han Cai
Tianyao Chen
Weinan Zhang
Yong Yu
Jun Wang
OOD3DV
163
67
0
16 Jul 2017
Data-Driven Sparse Structure Selection for Deep Neural Networks
Data-Driven Sparse Structure Selection for Deep Neural Networks
Zehao Huang
Naiyan Wang
311
601
0
05 Jul 2017
Automated Problem Identification: Regression vs Classification via
  Evolutionary Deep Networks
Automated Problem Identification: Regression vs Classification via Evolutionary Deep Networks
Emmanuel Dufourq
Bruce A. Bassett
102
15
0
03 Jul 2017
Learning Time/Memory-Efficient Deep Architectures with Budgeted Super
  Networks
Learning Time/Memory-Efficient Deep Architectures with Budgeted Super Networks
Tom Véniat
Ludovic Denoyer
252
22
0
31 May 2017
Building effective deep neural network architectures one feature at a
  time
Building effective deep neural network architectures one feature at a time
Martin Mundt
Tobias Weis
K. Konda
Visvanathan Ramesh
96
1
0
18 May 2017
DeepArchitect: Automatically Designing and Training Deep Architectures
DeepArchitect: Automatically Designing and Training Deep Architectures
Renato M. P. Negrinho
Geoffrey J. Gordon
185
187
0
28 Apr 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
244
602
0
03 Apr 2017
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