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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
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
172
98
0
16 Oct 2018
Deep Reinforcement Learning
Deep Reinforcement Learning
Yuxi Li
VLMOffRL
323
144
0
15 Oct 2018
Graph HyperNetworks for Neural Architecture Search
Graph HyperNetworks for Neural Architecture Search
Chris Zhang
Mengye Ren
R. Urtasun
GNN
266
295
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
205
86
0
08 Oct 2018
Learning with Random Learning Rates
Learning with Random Learning Rates
Léonard Blier
Pierre Wolinski
Yann Ollivier
OOD
245
21
0
02 Oct 2018
Learning Navigation Behaviors End-to-End with AutoRL
Learning Navigation Behaviors End-to-End with AutoRLIEEE Robotics and Automation Letters (RA-L), 2018
H. Chiang
Aleksandra Faust
Marek Fiser
Anthony G. Francis
274
251
0
26 Sep 2018
Parameterless Stochastic Natural Gradient Method for Discrete
  Optimization and its Application to Hyper-Parameter Optimization for Neural
  Network
Parameterless Stochastic Natural Gradient Method for Discrete Optimization and its Application to Hyper-Parameter Optimization for Neural Network
K. Nishida
H. Aguirre
Shota Saito
Shinichi Shirakawa
Youhei Akimoto
173
2
0
18 Sep 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
179
419
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
191
28
0
29 Aug 2018
Neural Architecture Optimization
Neural Architecture Optimization
Renqian Luo
Fei Tian
Tao Qin
Enhong Chen
Tie-Yan Liu
3DV
402
689
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
189
129
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
186
684
0
11 Aug 2018
Backprop Evolution
Backprop Evolution
Maximilian Alber
Irwan Bello
Barret Zoph
Pieter-Jan Kindermans
Prajit Ramachandran
Quoc V. Le
129
9
0
08 Aug 2018
Teacher Guided Architecture Search
Teacher Guided Architecture Search
P. Bashivan
Mark Tensen
J. DiCarlo
3DV
237
28
0
04 Aug 2018
GeneSys: Enabling Continuous Learning through Neural Network Evolution
  in Hardware
GeneSys: Enabling Continuous Learning through Neural Network Evolution in Hardware
A. Samajdar
Parth Mannan
K. Garg
T. Krishna
199
21
0
03 Aug 2018
Efficient Progressive Neural Architecture Search
Efficient Progressive Neural Architecture Search
Juan-Manuel Perez-Rua
M. Baccouche
S. Pateux
137
43
0
01 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
405
5,835
0
30 Jul 2018
MaskConnect: Connectivity Learning by Gradient Descent
MaskConnect: Connectivity Learning by Gradient Descent
Karim Ahmed
Lorenzo Torresani
150
52
0
28 Jul 2018
Coreset-Based Neural Network Compression
Coreset-Based Neural Network Compression
Abhimanyu Dubey
Moitreya Chatterjee
Narendra Ahuja
125
84
0
25 Jul 2018
Speeding up the Hyperparameter Optimization of Deep Convolutional Neural
  Networks
Speeding up the Hyperparameter Optimization of Deep Convolutional Neural NetworksInternational Journal of Computational Intelligence and Applications (IJCIA), 2018
Tobias Hinz
Nicolás Navarro-Guerrero
S. Magg
S. Wermter
135
109
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
Katharina Eggensperger
147
172
0
18 Jul 2018
Adaptive Neural Trees
Adaptive Neural TreesInternational Conference on Machine Learning (ICML), 2018
Ryutaro Tanno
Kai Arulkumaran
Daniel C. Alexander
A. Criminisi
A. Nori
688
173
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
99
7
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
OffRLAI4CE
154
1
0
08 Jul 2018
Learning concise representations for regression by evolving networks of
  trees
Learning concise representations for regression by evolving networks of treesInternational Conference on Learning Representations (ICLR), 2018
William La Cava
T. Singh
James Taggart
S. Suri
J. Moore
176
66
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
152
106
0
01 Jul 2018
Auto-Keras: An Efficient Neural Architecture Search System
Auto-Keras: An Efficient Neural Architecture Search SystemKnowledge Discovery and Data Mining (KDD), 2018
Haifeng Jin
Qingquan Song
Helen Zhou
404
877
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
61
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
309
27
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
203
194
0
21 Jun 2018
Lamarckian Evolution of Convolutional Neural Networks
Lamarckian Evolution of Convolutional Neural Networks
J. Prellberg
Oliver Kramer
ODL
132
18
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
169
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
155
43
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
202
215
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
GNNAAMLOOD
214
841
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
154
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
82
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
231
77
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
137
26
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
732
1,898
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
91
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
Katharina Eggensperger
462
525
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 NeuroevolutionAnnual Conference on Genetic and Evolutionary Computation (GECCO), 2018
Anil Yaman
Decebal Constantin Mocanu
Giovanni Iacca
G. Fletcher
Mykola Pechenizkiy
95
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 LearningACM Multimedia (ACM MM), 2018
Siyu Huang
Xi Li
Zhi-Qi Cheng
Zhongfei Zhang
Alexander G. Hauptmann
153
58
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
208
16
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
SSLOOD
237
127
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
207
85
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
112
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
135
49
0
26 Mar 2018
Fast Neural Architecture Construction using EnvelopeNets
Fast Neural Architecture Construction using EnvelopeNets
Purushotham Kamath
Abhishek Singh
Debo Dutta
3DPC
225
7
0
18 Mar 2018
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