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Hierarchical Representations for Efficient Architecture Search
v1v2 (latest)

Hierarchical Representations for Efficient Architecture Search

1 November 2017
Hanxiao Liu
Karen Simonyan
Oriol Vinyals
Chrisantha Fernando
Koray Kavukcuoglu
    3DV
ArXiv (abs)PDFHTML

Papers citing "Hierarchical Representations for Efficient Architecture Search"

48 / 448 papers shown
Title
Fast Neural Architecture Search of Compact Semantic Segmentation Models
  via Auxiliary Cells
Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary Cells
Vladimir Nekrasov
Hao Chen
Chunhua Shen
Ian Reid
SSeg
88
150
0
25 Oct 2018
Structure Learning of Deep Networks via DNA Computing Algorithm
Structure Learning of Deep Networks via DNA Computing Algorithm
G. Zhong
Tao Li
Wenxue Liu
Yang Chen
38
4
0
25 Oct 2018
Deep Reinforcement Learning
Deep Reinforcement Learning
Yuxi Li
VLMOffRL
191
144
0
15 Oct 2018
Graph HyperNetworks for Neural Architecture Search
Graph HyperNetworks for Neural Architecture Search
Chris Zhang
Mengye Ren
R. Urtasun
GNN
94
280
0
12 Oct 2018
Rethinking the Value of Network Pruning
Rethinking the Value of Network Pruning
Zhuang Liu
Mingjie Sun
Tinghui Zhou
Gao Huang
Trevor Darrell
44
1,480
0
11 Oct 2018
NSGA-Net: Neural Architecture Search using Multi-Objective Genetic
  Algorithm
NSGA-Net: Neural Architecture Search using Multi-Objective Genetic Algorithm
Zhichao Lu
Ian Whalen
Vishnu Boddeti
Yashesh D. Dhebar
Kalyanmoy Deb
E. Goodman
W. Banzhaf
87
81
0
08 Oct 2018
Searching for Efficient Multi-Scale Architectures for Dense Image
  Prediction
Searching for Efficient Multi-Scale Architectures for Dense Image Prediction
Liang-Chieh Chen
Maxwell D. Collins
Yukun Zhu
George Papandreou
Barret Zoph
Florian Schroff
Hartwig Adam
Jonathon Shlens
3DV
83
412
0
11 Sep 2018
Searching Toward Pareto-Optimal Device-Aware Neural Architectures
Searching Toward Pareto-Optimal Device-Aware Neural Architectures
A. Cheng
Jin-Dong Dong
Chi-Hung Hsu
Shu-Huan Chang
Min Sun
Shih-Chieh Chang
Jia Pan
Yu-Ting Chen
Wei Wei
Da-Cheng Juan
66
28
0
29 Aug 2018
Exploring Shared Structures and Hierarchies for Multiple NLP Tasks
Exploring Shared Structures and Hierarchies for Multiple NLP Tasks
Junkun Chen
Kaiyu Chen
Xinchi Chen
Xipeng Qiu
Xuanjing Huang
28
16
0
23 Aug 2018
Neural Architecture Optimization
Neural Architecture Optimization
Renqian Luo
Fei Tian
Tao Qin
Enhong Chen
Tie-Yan Liu
3DV
112
659
0
22 Aug 2018
BlockQNN: Efficient Block-wise Neural Network Architecture Generation
BlockQNN: Efficient Block-wise Neural Network Architecture Generation
Zhaobai Zhong
Zichen Yang
Boyang Deng
Junjie Yan
Wei Wu
Jing Shao
Cheng-Lin Liu
82
118
0
16 Aug 2018
Automatically designing CNN architectures using genetic algorithm for
  image classification
Automatically designing CNN architectures using genetic algorithm for image classification
Yizhou Sun
Bing Xue
Mengjie Zhang
Gary G. Yen
3DV
90
615
0
11 Aug 2018
Training Compact Neural Networks with Binary Weights and Low Precision
  Activations
Training Compact Neural Networks with Binary Weights and Low Precision Activations
Bohan Zhuang
Chunhua Shen
Ian Reid
MQ
53
14
0
08 Aug 2018
The Quest for the Golden Activation Function
The Quest for the Golden Activation Function
Mina Basirat
P. Roth
73
53
0
02 Aug 2018
Reinforced Evolutionary Neural Architecture Search
Reinforced Evolutionary Neural Architecture Search
Yukang Chen
Gaofeng Meng
Qian Zhang
Shiming Xiang
Chang Huang
Lisen Mu
Xinggang Wang
87
20
0
01 Aug 2018
MnasNet: Platform-Aware Neural Architecture Search for Mobile
MnasNet: Platform-Aware Neural Architecture Search for Mobile
Mingxing Tan
Bo Chen
Ruoming Pang
Vijay Vasudevan
Mark Sandler
Andrew G. Howard
Quoc V. Le
MQ
137
3,022
0
31 Jul 2018
MaskConnect: Connectivity Learning by Gradient Descent
MaskConnect: Connectivity Learning by Gradient Descent
Karim Ahmed
Lorenzo Torresani
88
49
0
28 Jul 2018
Anomaly Detection for Water Treatment System based on Neural Network
  with Automatic Architecture Optimization
Anomaly Detection for Water Treatment System based on Neural Network with Automatic Architecture Optimization
Dmitry Shalyga
Pavel Filonov
Andrey Lavrentyev
61
66
0
19 Jul 2018
Auto-Keras: An Efficient Neural Architecture Search System
Auto-Keras: An Efficient Neural Architecture Search System
Haifeng Jin
Qingquan Song
Helen Zhou
133
813
0
27 Jun 2018
Limited Evaluation Evolutionary Optimization of Large Neural Networks
Limited Evaluation Evolutionary Optimization of Large Neural Networks
J. Prellberg
Oliver Kramer
ODL
24
8
0
26 Jun 2018
DARTS: Differentiable Architecture Search
DARTS: Differentiable Architecture Search
Hanxiao Liu
Karen Simonyan
Yiming Yang
212
4,380
0
24 Jun 2018
DPP-Net: Device-aware Progressive Search for Pareto-optimal Neural
  Architectures
DPP-Net: Device-aware Progressive Search for Pareto-optimal Neural Architectures
Jin-Dong Dong
A. Cheng
Da-Cheng Juan
Wei Wei
Min Sun
73
182
0
21 Jun 2018
Resource-Efficient Neural Architect
Resource-Efficient Neural Architect
Yanqi Zhou
S. Ebrahimi
Sercan O. Arik
Haonan Yu
Hairong Liu
G. Diamos
67
64
0
12 Jun 2018
Auto-Meta: Automated Gradient Based Meta Learner Search
Auto-Meta: Automated Gradient Based Meta Learner Search
Jaehong Kim
Sangyeul Lee
Sungwan Kim
Moonsu Cha
Jung Kwon Lee
Youngduck Choi
Yongseok Choi
Dong-Yeon Cho
Jiwon Kim
AI4CE
73
39
0
11 Jun 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
74
211
0
07 Jun 2018
EIGEN: Ecologically-Inspired GENetic Approach for Neural Network
  Structure Searching from Scratch
EIGEN: Ecologically-Inspired GENetic Approach for Neural Network Structure Searching from Scratch
Jian Ren
Zhe Li
Jianchao Yang
N. Xu
Tianbao Yang
D. Foran
78
17
0
05 Jun 2018
Relational inductive biases, deep learning, and graph networks
Relational inductive biases, deep learning, and graph networks
Peter W. Battaglia
Jessica B. Hamrick
V. Bapst
Alvaro Sanchez-Gonzalez
V. Zambaldi
...
Pushmeet Kohli
M. Botvinick
Oriol Vinyals
Yujia Li
Razvan Pascanu
AI4CENAI
797
3,129
0
04 Jun 2018
Parallel Architecture and Hyperparameter Search via Successive Halving
  and Classification
Parallel Architecture and Hyperparameter Search via Successive Halving and Classification
Manoj Kumar
George E. Dahl
Vijay Vasudevan
Mohammad Norouzi
84
25
0
25 May 2018
AutoAugment: Learning Augmentation Policies from Data
AutoAugment: Learning Augmentation Policies from Data
E. D. Cubuk
Barret Zoph
Dandelion Mané
Vijay Vasudevan
Quoc V. Le
137
1,777
0
24 May 2018
Evolution-Guided Policy Gradient in Reinforcement Learning
Evolution-Guided Policy Gradient in Reinforcement Learning
Shauharda Khadka
Kagan Tumer
132
232
0
21 May 2018
Neural Architecture Search using Deep Neural Networks and Monte Carlo
  Tree Search
Neural Architecture Search using Deep Neural Networks and Monte Carlo Tree Search
Linnan Wang
Yiyang Zhao
Yuu Jinnai
Yuandong Tian
Rodrigo Fonseca
BDL
86
52
0
18 May 2018
Verisimilar Percept Sequences Tests for Autonomous Driving Intelligent
  Agent Assessment
Verisimilar Percept Sequences Tests for Autonomous Driving Intelligent Agent Assessment
Thomio Watanabe
D. Wolf
27
8
0
07 May 2018
Efficient Multi-objective Neural Architecture Search via Lamarckian
  Evolution
Efficient Multi-objective Neural Architecture Search via Lamarckian Evolution
T. Elsken
J. H. Metzen
Frank Hutter
238
503
0
24 Apr 2018
Generalized Hadamard-Product Fusion Operators for Visual Question
  Answering
Generalized Hadamard-Product Fusion Operators for Visual Question Answering
Brendan Duke
Graham W. Taylor
40
8
0
26 Mar 2018
Fast Neural Architecture Construction using EnvelopeNets
Fast Neural Architecture Construction using EnvelopeNets
Purushotham Kamath
Abhishek Singh
Debo Dutta
3DPC
51
7
0
18 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 Search
Masanori Suganuma
Mete Ozay
Takayuki Okatani
135
87
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 Analysis
Tal Ben-Nun
Torsten Hoefler
GNN
82
711
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
122
609
0
11 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
137
2,776
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
220
3,051
0
05 Feb 2018
Deep Neuroevolution: Genetic Algorithms Are a Competitive Alternative
  for Training Deep Neural Networks for Reinforcement Learning
Deep Neuroevolution: Genetic Algorithms Are a Competitive Alternative for Training Deep Neural Networks for Reinforcement Learning
F. Such
Vashisht Madhavan
Edoardo Conti
Joel Lehman
Kenneth O. Stanley
Jeff Clune
132
697
0
18 Dec 2017
Safe Mutations for Deep and Recurrent Neural Networks through Output
  Gradients
Safe Mutations for Deep and Recurrent Neural Networks through Output Gradients
Joel Lehman
Jay Chen
Jeff Clune
Kenneth O. Stanley
68
93
0
18 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
150
2,000
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
98
745
0
27 Nov 2017
Deep Expander Networks: Efficient Deep Networks from Graph Theory
Deep Expander Networks: Efficient Deep Networks from Graph Theory
Ameya Prabhu
G. Varma
A. Namboodiri
GNN
130
72
0
23 Nov 2017
Squeeze-and-Excitation Networks
Squeeze-and-Excitation Networks
Jie Hu
Li Shen
Samuel Albanie
Gang Sun
Enhua Wu
431
26,699
0
05 Sep 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
122
593
0
03 Apr 2017
Born to Learn: the Inspiration, Progress, and Future of Evolved Plastic
  Artificial Neural Networks
Born to Learn: the Inspiration, Progress, and Future of Evolved Plastic Artificial Neural Networks
Andrea Soltoggio
Kenneth O. Stanley
S. Risi
AI4CE
103
137
0
30 Mar 2017
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