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Efficient Neural Architecture Search via Parameter Sharing
v1v2 (latest)

Efficient Neural Architecture Search via Parameter Sharing

9 February 2018
Hieu H. Pham
M. Guan
Barret Zoph
Quoc V. Le
J. Dean
ArXiv (abs)PDFHTML

Papers citing "Efficient Neural Architecture Search via Parameter Sharing"

50 / 1,388 papers shown
Title
MLFriend: Interactive Prediction Task Recommendation for Event-Driven
  Time-Series Data
MLFriend: Interactive Prediction Task Recommendation for Event-Driven Time-Series Data
Lei Xu
Shubhra (Santu) Karmaker
K. Veeramachaneni
AI4TS
42
4
0
28 Jun 2019
Evolving Robust Neural Architectures to Defend from Adversarial Attacks
Evolving Robust Neural Architectures to Defend from Adversarial Attacks
Shashank Kotyan
Danilo Vasconcellos Vargas
OODAAML
81
36
0
27 Jun 2019
AGAN: Towards Automated Design of Generative Adversarial Networks
AGAN: Towards Automated Design of Generative Adversarial Networks
Hanchao Wang
Jun Huan
GANAI4CE
45
37
0
25 Jun 2019
Densely Connected Search Space for More Flexible Neural Architecture
  Search
Densely Connected Search Space for More Flexible Neural Architecture Search
Jiemin Fang
Yuzhu Sun
Qian Zhang
Yuan Li
Wenyu Liu
Xinggang Wang
120
125
0
23 Jun 2019
Placeto: Learning Generalizable Device Placement Algorithms for
  Distributed Machine Learning
Placeto: Learning Generalizable Device Placement Algorithms for Distributed Machine Learning
Ravichandra Addanki
S. Venkatakrishnan
Shreyan Gupta
Hongzi Mao
Mohammad Alizadeh
OODOffRL
75
68
0
20 Jun 2019
SMILES-X: autonomous molecular compounds characterization for small
  datasets without descriptors
SMILES-X: autonomous molecular compounds characterization for small datasets without descriptors
G. Lambard
Ekaterina Gracheva
71
21
0
20 Jun 2019
SwiftNet: Using Graph Propagation as Meta-knowledge to Search Highly
  Representative Neural Architectures
SwiftNet: Using Graph Propagation as Meta-knowledge to Search Highly Representative Neural Architectures
Hsin-Pai Cheng
Tunhou Zhang
Yukun Yang
Feng Yan
Shiyu Li
Harris Teague
H. Li
Yiran Chen
77
11
0
19 Jun 2019
XNAS: Neural Architecture Search with Expert Advice
XNAS: Neural Architecture Search with Expert Advice
Niv Nayman
Asaf Noy
T. Ridnik
Itamar Friedman
Rong Jin
Lihi Zelnik-Manor
85
129
0
19 Jun 2019
A Study of the Learning Progress in Neural Architecture Search
  Techniques
A Study of the Learning Progress in Neural Architecture Search Techniques
Prabhant Singh
Tobias Jacobs
S. Nicolas
Mischa Schmidt
3DV
58
11
0
18 Jun 2019
Prune and Replace NAS
Prune and Replace NAS
Kevin Laube
A. Zell
66
13
0
18 Jun 2019
Sample-Efficient Neural Architecture Search by Learning Action Space
Sample-Efficient Neural Architecture Search by Learning Action Space
Linnan Wang
Saining Xie
Teng Li
Rodrigo Fonseca
Yuandong Tian
64
45
0
17 Jun 2019
Scalable Neural Architecture Search for 3D Medical Image Segmentation
Scalable Neural Architecture Search for 3D Medical Image Segmentation
Sungwoong Kim
Ildoo Kim
Sungbin Lim
Woonhyuk Baek
Chiheon Kim
Hyungjoon Cho
Boogeon Yoon
Taesup Kim
154
76
0
13 Jun 2019
Neural Graph Evolution: Towards Efficient Automatic Robot Design
Neural Graph Evolution: Towards Efficient Automatic Robot Design
Tingwu Wang
Yuhao Zhou
Sanja Fidler
Jimmy Ba
65
63
0
12 Jun 2019
Continual and Multi-Task Architecture Search
Continual and Multi-Task Architecture Search
Ramakanth Pasunuru
Joey Tianyi Zhou
CLL
67
48
0
12 Jun 2019
NAS-FCOS: Fast Neural Architecture Search for Object Detection
NAS-FCOS: Fast Neural Architecture Search for Object Detection
Ning Wang
Yang Gao
Hao Chen
Peng Wang
Zhi Tian
Chunhua Shen
Yanning Zhang
ObjD
104
193
0
11 Jun 2019
Weight Agnostic Neural Networks
Weight Agnostic Neural Networks
Adam Gaier
David R Ha
OOD
67
242
0
11 Jun 2019
BlockSwap: Fisher-guided Block Substitution for Network Compression on a
  Budget
BlockSwap: Fisher-guided Block Substitution for Network Compression on a Budget
Jack Turner
Elliot J. Crowley
Michael F. P. O'Boyle
Amos Storkey
Gavia Gray
84
38
0
10 Jun 2019
AutoGrow: Automatic Layer Growing in Deep Convolutional Networks
AutoGrow: Automatic Layer Growing in Deep Convolutional Networks
W. Wen
Feng Yan
Yiran Chen
H. Li
83
40
0
07 Jun 2019
One-Shot Neural Architecture Search via Compressive Sensing
One-Shot Neural Architecture Search via Compressive Sensing
Minsu Cho
Mohammadreza Soltani
Chinmay Hegde
70
17
0
07 Jun 2019
StyleNAS: An Empirical Study of Neural Architecture Search to Uncover
  Surprisingly Fast End-to-End Universal Style Transfer Networks
StyleNAS: An Empirical Study of Neural Architecture Search to Uncover Surprisingly Fast End-to-End Universal Style Transfer Networks
Jie An
Haoyi Xiong
Jinwen Ma
Jiebo Luo
Jun Huan
OOD
21
5
0
06 Jun 2019
Automated Machine Learning: State-of-The-Art and Open Challenges
Automated Machine Learning: State-of-The-Art and Open Challenges
Radwa El Shawi
Mohamed Maher
Sherif Sakr
58
162
0
05 Jun 2019
Improving Neural Language Models by Segmenting, Attending, and
  Predicting the Future
Improving Neural Language Models by Segmenting, Attending, and Predicting the Future
Hongyin Luo
Lan Jiang
Yonatan Belinkov
James R. Glass
56
13
0
04 Jun 2019
An Adaptive Random Path Selection Approach for Incremental Learning
An Adaptive Random Path Selection Approach for Incremental Learning
Jathushan Rajasegaran
Munawar Hayat
Salman Khan
Fahad Shahbaz Khan
Ling Shao
Ming-Hsuan Yang
ODLCLL
86
24
0
03 Jun 2019
Deeply-supervised Knowledge Synergy
Deeply-supervised Knowledge Synergy
Dawei Sun
Anbang Yao
Aojun Zhou
Hao Zhao
54
63
0
03 Jun 2019
Efficient Forward Architecture Search
Efficient Forward Architecture Search
Hanzhang Hu
John Langford
R. Caruana
Saurajit Mukherjee
Eric Horvitz
Debadeepta Dey
61
40
0
31 May 2019
On Network Design Spaces for Visual Recognition
On Network Design Spaces for Visual Recognition
Ilija Radosavovic
Justin Johnson
Saining Xie
Wan-Yen Lo
Piotr Dollár
102
136
0
30 May 2019
Toward Runtime-Throttleable Neural Networks
Toward Runtime-Throttleable Neural Networks
Jesse Hostetler
49
2
0
30 May 2019
Efficient Neural Architecture Search via Proximal Iterations
Efficient Neural Architecture Search via Proximal Iterations
Quanming Yao
Ju Xu
Wei-Wei Tu
Zhanxing Zhu
114
104
0
30 May 2019
Reinforcement Learning and Adaptive Sampling for Optimized DNN
  Compilation
Reinforcement Learning and Adaptive Sampling for Optimized DNN Compilation
Byung Hoon Ahn
Prannoy Pilligundla
H. Esmaeilzadeh
71
20
0
30 May 2019
CompactNet: Platform-Aware Automatic Optimization for Convolutional
  Neural Networks
CompactNet: Platform-Aware Automatic Optimization for Convolutional Neural Networks
Weicheng Li
Rui Wang
Zhongzhi Luan
Di Huang
Zidong Du
Yunji Chen
D. Qian
27
1
0
28 May 2019
DDPNAS: Efficient Neural Architecture Search via Dynamic Distribution
  Pruning
DDPNAS: Efficient Neural Architecture Search via Dynamic Distribution Pruning
Xiawu Zheng
Chenyi Yang
Shaokun Zhang
Yan Wang
Baochang Zhang
Yongjian Wu
Yunsheng Wu
Ling Shao
Rongrong Ji
88
22
0
28 May 2019
Dynamic Cell Structure via Recursive-Recurrent Neural Networks
Dynamic Cell Structure via Recursive-Recurrent Neural Networks
Xin-Yao Qian
M. Kennedy
Diego Klabjan
21
0
0
25 May 2019
Network Pruning via Transformable Architecture Search
Network Pruning via Transformable Architecture Search
Xuanyi Dong
Yi Yang
3DPC
81
243
0
23 May 2019
Constrained Design of Deep Iris Networks
Constrained Design of Deep Iris Networks
Kien Nguyen
Clinton Fookes
Sridha Sridharan
CVBM3DV
63
19
0
23 May 2019
Exploring Structural Sparsity of Deep Networks via Inverse Scale Spaces
Exploring Structural Sparsity of Deep Networks via Inverse Scale Spaces
Yanwei Fu
Chen Liu
Donghao Li
Zuyuan Zhong
Xinwei Sun
Jinshan Zeng
Yuan Yao
65
10
0
23 May 2019
Adaptive Stochastic Natural Gradient Method for One-Shot Neural
  Architecture Search
Adaptive Stochastic Natural Gradient Method for One-Shot Neural Architecture Search
Youhei Akimoto
Shinichi Shirakawa
Nozomu Yoshinari
Kento Uchida
Shota Saito
K. Nishida
77
87
0
21 May 2019
DARC: Differentiable ARchitecture Compression
DARC: Differentiable ARchitecture Compression
Shashank Singh
A. Khetan
Zohar Karnin
AI4CE
53
7
0
20 May 2019
Which Tasks Should Be Learned Together in Multi-task Learning?
Which Tasks Should Be Learned Together in Multi-task Learning?
Trevor Scott Standley
Amir Zamir
Dawn Chen
Leonidas Guibas
Jitendra Malik
Silvio Savarese
148
520
0
18 May 2019
Multinomial Distribution Learning for Effective Neural Architecture
  Search
Multinomial Distribution Learning for Effective Neural Architecture Search
Xiawu Zheng
Rongrong Ji
Lang Tang
Baochang Zhang
Jianzhuang Liu
Q. Tian
96
91
0
18 May 2019
AutoDispNet: Improving Disparity Estimation With AutoML
AutoDispNet: Improving Disparity Estimation With AutoML
Tonmoy Saikia
Yassine Marrakchi
Arber Zela
Frank Hutter
Thomas Brox
111
79
0
17 May 2019
AM-LFS: AutoML for Loss Function Search
AM-LFS: AutoML for Loss Function Search
Chuming Li
Yuan Xin
Chen Lin
Minghao Guo
Wei Wu
Wanli Ouyang
Junjie Yan
VLM
127
71
0
17 May 2019
Online Hyper-parameter Learning for Auto-Augmentation Strategy
Online Hyper-parameter Learning for Auto-Augmentation Strategy
Chen Lin
Minghao Guo
Chuming Li
Yuan Xin
Wei Wu
Dahua Lin
Wanli Ouyang
Junjie Yan
ODL
71
84
0
17 May 2019
DeepSwarm: Optimising Convolutional Neural Networks using Swarm
  Intelligence
DeepSwarm: Optimising Convolutional Neural Networks using Swarm Intelligence
Edvinas Byla
Wei Pang
76
44
0
17 May 2019
Population Based Augmentation: Efficient Learning of Augmentation Policy
  Schedules
Population Based Augmentation: Efficient Learning of Augmentation Policy Schedules
Daniel Ho
Eric Liang
Ion Stoica
Pieter Abbeel
Xi Chen
98
405
0
14 May 2019
BayesNAS: A Bayesian Approach for Neural Architecture Search
BayesNAS: A Bayesian Approach for Neural Architecture Search
Hongpeng Zhou
Minghao Yang
Jun Wang
Wei Pan
BDL
103
202
0
13 May 2019
Dynamic Routing Networks
Dynamic Routing Networks
Shaofeng Cai
Yao Shu
Wei Wang
Beng Chin Ooi
50
3
0
13 May 2019
Budgeted Training: Rethinking Deep Neural Network Training Under
  Resource Constraints
Budgeted Training: Rethinking Deep Neural Network Training Under Resource Constraints
Mengtian Li
Ersin Yumer
Deva Ramanan
72
49
0
12 May 2019
Single-Path NAS: Device-Aware Efficient ConvNet Design
Single-Path NAS: Device-Aware Efficient ConvNet Design
Dimitrios Stamoulis
Ruizhou Ding
Di Wang
Dimitrios Lymberopoulos
B. Priyantha
Jie Liu
Diana Marculescu
60
18
0
10 May 2019
EENA: Efficient Evolution of Neural Architecture
EENA: Efficient Evolution of Neural Architecture
Hui Zhu
Zhulin An
Chuanguang Yang
Kaiqiang Xu
Erhu Zhao
Yongjun Xu
3DV
101
39
0
10 May 2019
Data-Efficient Mutual Information Neural Estimator
Data-Efficient Mutual Information Neural Estimator
Xiaoyu Lin
Indranil Sur
Samuel A. Nastase
Ajay Divakaran
Uri Hasson
Mohamed R. Amer
DRL
71
21
0
08 May 2019
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