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Regularized Evolution for Image Classifier Architecture Search

Regularized Evolution for Image Classifier Architecture Search

5 February 2018
Esteban Real
A. Aggarwal
Yanping Huang
Quoc V. Le
ArXivPDFHTML

Papers citing "Regularized Evolution for Image Classifier Architecture Search"

50 / 609 papers shown
Title
Constrained Design of Deep Iris Networks
Constrained Design of Deep Iris Networks
Kien Nguyen
Clinton Fookes
Sridha Sridharan
CVBM
3DV
19
19
0
23 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 J. Guibas
Jitendra Malik
Silvio Savarese
26
503
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
25
88
0
18 May 2019
Tabular Benchmarks for Joint Architecture and Hyperparameter
  Optimization
Tabular Benchmarks for Joint Architecture and Hyperparameter Optimization
Aaron Klein
Frank Hutter
15
91
0
13 May 2019
Training CNNs with Selective Allocation of Channels
Training CNNs with Selective Allocation of Channels
Jongheon Jeong
Jinwoo Shin
CVBM
39
15
0
11 May 2019
Fast-DENSER++: Evolving Fully-Trained Deep Artificial Neural Networks
Fast-DENSER++: Evolving Fully-Trained Deep Artificial Neural Networks
Filipe Assunção
Nuno Lourenço
Penousal Machado
B. Ribeiro
ODL
19
6
0
08 May 2019
High Frequency Residual Learning for Multi-Scale Image Classification
High Frequency Residual Learning for Multi-Scale Image Classification
Bowen Cheng
Rong Xiao
Jianfeng Wang
Thomas Huang
Lei Zhang
34
21
0
07 May 2019
Neural Architecture Refinement: A Practical Way for Avoiding Overfitting
  in NAS
Neural Architecture Refinement: A Practical Way for Avoiding Overfitting in NAS
Yangzhou Jiang
Cong Zhao
Zeyang Dou
Lei Pang
14
5
0
07 May 2019
Towards Efficient Model Compression via Learned Global Ranking
Towards Efficient Model Compression via Learned Global Ranking
Ting-Wu Chin
Ruizhou Ding
Cha Zhang
Diana Marculescu
16
170
0
28 Apr 2019
Neural Architecture Search for Deep Face Recognition
Neural Architecture Search for Deep Face Recognition
Ning Zhu
CVBM
22
9
0
21 Apr 2019
Language Models with Transformers
Language Models with Transformers
Chenguang Wang
Mu Li
Alex Smola
20
121
0
20 Apr 2019
HARK Side of Deep Learning -- From Grad Student Descent to Automated
  Machine Learning
HARK Side of Deep Learning -- From Grad Student Descent to Automated Machine Learning
O. Gencoglu
M. Gils
E. Guldogan
Chamin Morikawa
Mehmet Süzen
M. Gruber
J. Leinonen
H. Huttunen
11
36
0
16 Apr 2019
Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural
  Networks with Octave Convolution
Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks with Octave Convolution
Yunpeng Chen
Haoqi Fan
Bing Xu
Zhicheng Yan
Yannis Kalantidis
Marcus Rohrbach
Shuicheng Yan
Jiashi Feng
53
552
0
10 Apr 2019
FPGA/DNN Co-Design: An Efficient Design Methodology for IoT Intelligence
  on the Edge
FPGA/DNN Co-Design: An Efficient Design Methodology for IoT Intelligence on the Edge
Cong Hao
Xiaofan Zhang
Yuhong Li
Sitao Huang
Jinjun Xiong
K. Rupnow
Wen-mei W. Hwu
Deming Chen
41
172
0
09 Apr 2019
Branched Multi-Task Networks: Deciding What Layers To Share
Branched Multi-Task Networks: Deciding What Layers To Share
Simon Vandenhende
Stamatios Georgoulis
Bert De Brabandere
Luc Van Gool
27
145
0
05 Apr 2019
Single Path One-Shot Neural Architecture Search with Uniform Sampling
Single Path One-Shot Neural Architecture Search with Uniform Sampling
Zichao Guo
Xiangyu Zhang
Haoyuan Mu
Wen Heng
Zechun Liu
Yichen Wei
Jian Sun
22
928
0
31 Mar 2019
Many Task Learning with Task Routing
Many Task Learning with Task Routing
Gjorgji Strezoski
Nanne van Noord
M. Worring
MoE
24
96
0
28 Mar 2019
sharpDARTS: Faster and More Accurate Differentiable Architecture Search
sharpDARTS: Faster and More Accurate Differentiable Architecture Search
Andrew Hundt
Varun Jain
Gregory Hager
OOD
30
66
0
23 Mar 2019
Convolution with even-sized kernels and symmetric padding
Convolution with even-sized kernels and symmetric padding
Shuang Wu
Guanrui Wang
Pei Tang
F. Chen
Luping Shi
22
68
0
20 Mar 2019
Partial Order Pruning: for Best Speed/Accuracy Trade-off in Neural
  Architecture Search
Partial Order Pruning: for Best Speed/Accuracy Trade-off in Neural Architecture Search
Xuzhao Li
Yiming Zhou
Zheng Pan
Jiashi Feng
3DV
27
158
0
09 Mar 2019
Evolutionary Cell Aided Design for Neural Network Architectures
Evolutionary Cell Aided Design for Neural Network Architectures
Philip Colangelo
Oren Segal
Alexander Speicher
M. Margala
11
3
0
06 Mar 2019
Biologically plausible deep learning -- but how far can we go with
  shallow networks?
Biologically plausible deep learning -- but how far can we go with shallow networks?
Bernd Illing
W. Gerstner
Johanni Brea
30
94
0
27 Feb 2019
NAS-Bench-101: Towards Reproducible Neural Architecture Search
NAS-Bench-101: Towards Reproducible Neural Architecture Search
Chris Ying
Aaron Klein
Esteban Real
Eric Christiansen
Kevin Patrick Murphy
Frank Hutter
12
673
0
25 Feb 2019
Random Search and Reproducibility for Neural Architecture Search
Random Search and Reproducibility for Neural Architecture Search
Liam Li
Ameet Talwalkar
OOD
36
718
0
20 Feb 2019
Do ImageNet Classifiers Generalize to ImageNet?
Do ImageNet Classifiers Generalize to ImageNet?
Benjamin Recht
Rebecca Roelofs
Ludwig Schmidt
Vaishaal Shankar
OOD
SSeg
VLM
40
1,665
0
13 Feb 2019
EAT-NAS: Elastic Architecture Transfer for Accelerating Large-scale
  Neural Architecture Search
EAT-NAS: Elastic Architecture Transfer for Accelerating Large-scale Neural Architecture Search
Jiemin Fang
Yukang Chen
Xinbang Zhang
Qian Zhang
Chang Huang
Gaofeng Meng
Wenyu Liu
Xinggang Wang
39
24
0
17 Jan 2019
NeuNetS: An Automated Synthesis Engine for Neural Network Design
NeuNetS: An Automated Synthesis Engine for Neural Network Design
Atin Sood
Benjamin Elder
Benjamin Herta
Chao Xue
C. Bekas
...
M. Choudhury
Rong Yan
R. Istrate
Ruchi Puri
Tejaswini Pedapati
SyDa
35
7
0
17 Jan 2019
Multi-Objective Reinforced Evolution in Mobile Neural Architecture
  Search
Multi-Objective Reinforced Evolution in Mobile Neural Architecture Search
Xiangxiang Chu
Bo Zhang
Ruijun Xu
Hailong Ma
31
98
0
04 Jan 2019
InstaNAS: Instance-aware Neural Architecture Search
InstaNAS: Instance-aware Neural Architecture Search
A. Cheng
Chieh Hubert Lin
Da-Cheng Juan
Wei Wei
Min Sun
30
46
0
26 Nov 2018
Joint Neural Architecture Search and Quantization
Joint Neural Architecture Search and Quantization
Yukang Chen
Gaofeng Meng
Qian Zhang
Xinbang Zhang
Liangchen Song
Shiming Xiang
Chunhong Pan
MQ
30
29
0
23 Nov 2018
Efficient Structured Pruning and Architecture Searching for Group
  Convolution
Efficient Structured Pruning and Architecture Searching for Group Convolution
Ruizhe Zhao
Wayne Luk
45
16
0
23 Nov 2018
On a Sparse Shortcut Topology of Artificial Neural Networks
On a Sparse Shortcut Topology of Artificial Neural Networks
Fenglei Fan
Dayang Wang
Hengtao Guo
Qikui Zhu
Pingkun Yan
Ge Wang
Hengyong Yu
40
22
0
22 Nov 2018
RePr: Improved Training of Convolutional Filters
RePr: Improved Training of Convolutional Filters
Aaditya (Adi) Prakash
J. Storer
D. Florêncio
Cha Zhang
VLM
CVBM
40
57
0
18 Nov 2018
Layout Design for Intelligent Warehouse by Evolution with Fitness
  Approximation
Layout Design for Intelligent Warehouse by Evolution with Fitness Approximation
Haifeng Zhang
Zilong Guo
Han Cai
Chris Wang
Weinan Zhang
Yong Yu
Wenxin Li
Jun Wang
28
14
0
14 Nov 2018
Activation Functions: Comparison of trends in Practice and Research for
  Deep Learning
Activation Functions: Comparison of trends in Practice and Research for Deep Learning
S. Bodenstedt
Dominik Rivoir
A. Gachagan
S. T. Mees
33
1,269
0
08 Nov 2018
Evolutionary Stochastic Gradient Descent for Optimization of Deep Neural
  Networks
Evolutionary Stochastic Gradient Descent for Optimization of Deep Neural Networks
Xiaodong Cui
Wei Zhang
Zoltán Tüske
M. Picheny
ODL
16
89
0
16 Oct 2018
Graph HyperNetworks for Neural Architecture Search
Graph HyperNetworks for Neural Architecture Search
Chris Zhang
Mengye Ren
R. Urtasun
GNN
19
273
0
12 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
34
81
0
08 Oct 2018
RedSync : Reducing Synchronization Traffic for Distributed Deep Learning
RedSync : Reducing Synchronization Traffic for Distributed Deep Learning
Jiarui Fang
Haohuan Fu
Guangwen Yang
Cho-Jui Hsieh
GNN
33
25
0
13 Aug 2018
Teacher Guided Architecture Search
Teacher Guided Architecture Search
P. Bashivan
Mark Tensen
J. DiCarlo
3DV
37
27
0
04 Aug 2018
ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture
  Design
ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design
Ningning Ma
Xiangyu Zhang
Haitao Zheng
Jian Sun
51
4,926
0
30 Jul 2018
Auto-Keras: An Efficient Neural Architecture Search System
Auto-Keras: An Efficient Neural Architecture Search System
Haifeng Jin
Qingquan Song
Xia Hu
40
795
0
27 Jun 2018
Resource-Efficient Neural Architect
Resource-Efficient Neural Architect
Yanqi Zhou
S. Ebrahimi
Sercan O. Arik
Haonan Yu
Hairong Liu
G. Diamos
25
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
33
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
27
210
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
35
17
0
05 Jun 2018
Analysis of DAWNBench, a Time-to-Accuracy Machine Learning Performance
  Benchmark
Analysis of DAWNBench, a Time-to-Accuracy Machine Learning Performance Benchmark
Cody Coleman
Daniel Kang
Deepak Narayanan
Luigi Nardi
Tian Zhao
Jian Zhang
Peter Bailis
K. Olukotun
Christopher Ré
Matei A. Zaharia
13
117
0
04 Jun 2018
Do CIFAR-10 Classifiers Generalize to CIFAR-10?
Do CIFAR-10 Classifiers Generalize to CIFAR-10?
Benjamin Recht
Rebecca Roelofs
Ludwig Schmidt
Vaishaal Shankar
OOD
FedML
ELM
39
405
0
01 Jun 2018
TAPAS: Train-less Accuracy Predictor for Architecture Search
TAPAS: Train-less Accuracy Predictor for Architecture Search
R. Istrate
Florian Scheidegger
G. Mariani
Dimitrios S. Nikolopoulos
C. Bekas
A. Malossi
OOD
32
75
0
01 Jun 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
63
1,758
0
24 May 2018
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