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Large-Scale Evolution of Image Classifiers

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
ArXivPDFHTML

Papers citing "Large-Scale Evolution of Image Classifiers"

50 / 737 papers shown
Title
Coreset-Based Neural Network Compression
Coreset-Based Neural Network Compression
Abhimanyu Dubey
Moitreya Chatterjee
Narendra Ahuja
32
79
0
25 Jul 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
27
104
0
19 Jul 2018
Towards Automated Deep Learning: Efficient Joint Neural Architecture and
  Hyperparameter Search
Towards Automated Deep Learning: Efficient Joint Neural Architecture and Hyperparameter Search
Arber Zela
Aaron Klein
Stefan Falkner
Frank Hutter
32
158
0
18 Jul 2018
Adaptive Neural Trees
Adaptive Neural Trees
Ryutaro Tanno
Kai Arulkumaran
Daniel C. Alexander
A. Criminisi
A. Nori
27
165
0
17 Jul 2018
A Discriminative Approach to Bayesian Filtering with Applications to
  Human Neural Decoding
A Discriminative Approach to Bayesian Filtering with Applications to Human Neural Decoding
Michael C. Burkhart
19
6
0
17 Jul 2018
Auto Deep Compression by Reinforcement Learning Based Actor-Critic
  Structure
Auto Deep Compression by Reinforcement Learning Based Actor-Critic Structure
Hamed Hakkak
OffRL
AI4CE
15
1
0
08 Jul 2018
Learning concise representations for regression by evolving networks of
  trees
Learning concise representations for regression by evolving networks of trees
William La Cava
T. Singh
James Taggart
S. Suri
J. Moore
12
57
0
03 Jul 2018
Autonomous Deep Learning: A Genetic DCNN Designer for Image
  Classification
Autonomous Deep Learning: A Genetic DCNN Designer for Image Classification
Benteng Ma
Yong-quan Xia
17
99
0
01 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
Limited Evaluation Evolutionary Optimization of Large Neural Networks
Limited Evaluation Evolutionary Optimization of Large Neural Networks
J. Prellberg
Oliver Kramer
ODL
14
8
0
26 Jun 2018
Constructing Deep Neural Networks by Bayesian Network Structure Learning
Constructing Deep Neural Networks by Bayesian Network Structure Learning
R. Y. Rohekar
Shami Nisimov
Yaniv Gurwicz
G. Koren
Gal Novik
BDL
22
26
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
25
181
0
21 Jun 2018
Lamarckian Evolution of Convolutional Neural Networks
Lamarckian Evolution of Convolutional Neural Networks
J. Prellberg
Oliver Kramer
ODL
14
17
0
21 Jun 2018
Resource-Efficient Neural Architect
Resource-Efficient Neural Architect
Yanqi Zhou
S. Ebrahimi
Sercan Ö. Arik
Haonan Yu
Hairong Liu
G. Diamos
22
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
Adversarial Attack on Graph Structured Data
Adversarial Attack on Graph Structured Data
H. Dai
Hui Li
Tian Tian
Xin Huang
L. Wang
Jun Zhu
Le Song
GNN
AAML
OOD
38
764
0
06 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
An Aggressive Genetic Programming Approach for Searching Neural Network
  Structure Under Computational Constraints
An Aggressive Genetic Programming Approach for Searching Neural Network Structure Under Computational Constraints
Zhe Li
Xuehan Xiong
Zhou Ren
Ning Zhang
Xiaoyu Wang
Tianbao Yang
29
3
0
03 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
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
28
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
63
1,758
0
24 May 2018
Automatic Inference of Cross-modal Connection Topologies for X-CNNs
Automatic Inference of Cross-modal Connection Topologies for X-CNNs
Laurynas Karazija
Petar Velickovic
Pietro Lio
3DPC
4
2
0
02 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
131
499
0
24 Apr 2018
Limited Evaluation Cooperative Co-evolutionary Differential Evolution
  for Large-scale Neuroevolution
Limited Evaluation Cooperative Co-evolutionary Differential Evolution for Large-scale Neuroevolution
Anil Yaman
Decebal Constantin Mocanu
Giovanni Iacca
G. Fletcher
Mykola Pechenizkiy
11
19
0
19 Apr 2018
GNAS: A Greedy Neural Architecture Search Method for Multi-Attribute
  Learning
GNAS: A Greedy Neural Architecture Search Method for Multi-Attribute Learning
Siyu Huang
Xi Li
Zhi-Qi Cheng
Zhongfei Zhang
Alexander G. Hauptmann
19
56
0
19 Apr 2018
Learning Strict Identity Mappings in Deep Residual Networks
Learning Strict Identity Mappings in Deep Residual Networks
Xin Yu
Zhiding Yu
Srikumar Ramalingam
16
17
0
05 Apr 2018
Meta-Learning Update Rules for Unsupervised Representation Learning
Meta-Learning Update Rules for Unsupervised Representation Learning
Luke Metz
Niru Maheswaranathan
Brian Cheung
Jascha Narain Sohl-Dickstein
SSL
OOD
31
122
0
31 Mar 2018
HOUDINI: Lifelong Learning as Program Synthesis
HOUDINI: Lifelong Learning as Program Synthesis
Lazar Valkov
Dipak Chaudhari
Akash Srivastava
Charles Sutton
Swarat Chaudhuri
24
79
0
31 Mar 2018
Incremental Training of Deep Convolutional Neural Networks
Incremental Training of Deep Convolutional Neural Networks
R. Istrate
A. Malossi
C. Bekas
Dimitrios S. Nikolopoulos
CLL
20
21
0
27 Mar 2018
Efficient Image Dataset Classification Difficulty Estimation for
  Predicting Deep-Learning Accuracy
Efficient Image Dataset Classification Difficulty Estimation for Predicting Deep-Learning Accuracy
Florian Scheidegger
R. Istrate
G. Mariani
Luca Benini
C. Bekas
Cristiano Malossi
VLM
37
44
0
26 Mar 2018
Fast Neural Architecture Construction using EnvelopeNets
Fast Neural Architecture Construction using EnvelopeNets
Purushotham Kamath
Abhishek Singh
Debo Dutta
3DPC
17
7
0
18 Mar 2018
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
21
166
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
N. Zhang
13
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
18
53
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 Back
Elliot Meyerson
Risto Miikkulainen
25
45
0
11 Mar 2018
Evolutionary Architecture Search For Deep Multitask Networks
Evolutionary Architecture Search For Deep Multitask Networks
J. Liang
Elliot Meyerson
Risto Miikkulainen
39
120
0
10 Mar 2018
Transfer Learning with Neural AutoML
Transfer Learning with Neural AutoML
Catherine Wong
N. Houlsby
Yifeng Lu
Andrea Gesmundo
19
114
0
07 Mar 2018
Evolutionary Generative Adversarial Networks
Evolutionary Generative Adversarial Networks
Chaoyue Wang
Chang Xu
Xin Yao
Dacheng Tao
GAN
51
282
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 Search
Masanori Suganuma
Mete Ozay
Takayuki Okatani
25
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
33
703
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
20
601
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-Jia Li
Song Han
35
1,342
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
50
2,747
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
15
3,000
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
32
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
18
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
19
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
31
98
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
19
18,998
0
13 Jan 2018
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