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Learning Transferable Architectures for Scalable Image Recognition

Learning Transferable Architectures for Scalable Image Recognition

21 July 2017
Barret Zoph
Vijay Vasudevan
Jonathon Shlens
Quoc V. Le
ArXivPDFHTML

Papers citing "Learning Transferable Architectures for Scalable Image Recognition"

50 / 862 papers shown
Title
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
Light-Weight RefineNet for Real-Time Semantic Segmentation
Light-Weight RefineNet for Real-Time Semantic Segmentation
Vladimir Nekrasov
Chunhua Shen
Ian Reid
SSeg
VLM
24
147
0
08 Oct 2018
Deep Learning for Generic Object Detection: A Survey
Deep Learning for Generic Object Detection: A Survey
Li Liu
Wanli Ouyang
Xiaogang Wang
Paul Fieguth
Jie Chen
Xinwang Liu
M. Pietikäinen
ObjD
VLM
OOD
74
2,422
0
06 Sep 2018
Consensus-Driven Propagation in Massive Unlabeled Data for Face
  Recognition
Consensus-Driven Propagation in Massive Unlabeled Data for Face Recognition
Xiaohang Zhan
Ziwei Liu
Junjie Yan
Dahua Lin
Chen Change Loy
CVBM
22
73
0
05 Sep 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
27
603
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
13
14
0
08 Aug 2018
Is Robustness the Cost of Accuracy? -- A Comprehensive Study on the
  Robustness of 18 Deep Image Classification Models
Is Robustness the Cost of Accuracy? -- A Comprehensive Study on the Robustness of 18 Deep Image Classification Models
D. Su
Huan Zhang
Hongge Chen
Jinfeng Yi
Pin-Yu Chen
Yupeng Gao
VLM
40
389
0
05 Aug 2018
Teacher Guided Architecture Search
Teacher Guided Architecture Search
P. Bashivan
Mark Tensen
J. DiCarlo
3DV
32
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
4,929
0
30 Jul 2018
Towards Privacy-Preserving Visual Recognition via Adversarial Training:
  A Pilot Study
Towards Privacy-Preserving Visual Recognition via Adversarial Training: A Pilot Study
Zhenyu Wu
Zhangyang Wang
Zhaowen Wang
Hailin Jin
AAML
PICV
28
153
0
22 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
Big-Little Net: An Efficient Multi-Scale Feature Representation for
  Visual and Speech Recognition
Big-Little Net: An Efficient Multi-Scale Feature Representation for Visual and Speech Recognition
Chun-Fu Chen
Quanfu Fan
Neil Rohit Mallinar
Tom Sercu
Rogerio Feris
20
96
0
10 Jul 2018
Vulnerability Analysis of Chest X-Ray Image Classification Against
  Adversarial Attacks
Vulnerability Analysis of Chest X-Ray Image Classification Against Adversarial Attacks
Saeid Asgari Taghanaki
A. Das
Ghassan Hamarneh
MedIm
35
52
0
09 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
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
12
26
0
24 Jun 2018
Quantizing deep convolutional networks for efficient inference: A
  whitepaper
Quantizing deep convolutional networks for efficient inference: A whitepaper
Raghuraman Krishnamoorthi
MQ
48
994
0
21 Jun 2018
Task-Driven Convolutional Recurrent Models of the Visual System
Task-Driven Convolutional Recurrent Models of the Visual System
Aran Nayebi
Daniel M. Bear
J. Kubilius
Kohitij Kar
Surya Ganguli
David Sussillo
J. DiCarlo
Daniel L. K. Yamins
18
150
0
20 Jun 2018
Large Scale Fine-Grained Categorization and Domain-Specific Transfer
  Learning
Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning
Huayu Chen
Yang Song
Chen Sun
Andrew G. Howard
Serge J. Belongie
25
475
0
16 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
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
F. Scheidegger
G. Mariani
Dimitrios S. Nikolopoulos
C. Bekas
A. Malossi
OOD
32
75
0
01 Jun 2018
IGCV3: Interleaved Low-Rank Group Convolutions for Efficient Deep Neural
  Networks
IGCV3: Interleaved Low-Rank Group Convolutions for Efficient Deep Neural Networks
Ke Sun
Mingjie Li
Dong Liu
Jingdong Wang
45
126
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
60
1,758
0
24 May 2018
Do Better ImageNet Models Transfer Better?
Do Better ImageNet Models Transfer Better?
Simon Kornblith
Jonathon Shlens
Quoc V. Le
OOD
MLT
91
1,310
0
23 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
33
50
0
18 May 2018
Object detection at 200 Frames Per Second
Object detection at 200 Frames Per Second
Rakesh Mehta
Cemalettin Öztürk
ObjD
30
61
0
16 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
19
8
0
07 May 2018
EML-NET:An Expandable Multi-Layer NETwork for Saliency Prediction
EML-NET:An Expandable Multi-Layer NETwork for Saliency Prediction
Sen Jia
Neil D. B. Bruce
19
161
0
02 May 2018
Exploring the Limits of Weakly Supervised Pretraining
Exploring the Limits of Weakly Supervised Pretraining
D. Mahajan
Ross B. Girshick
Vignesh Ramanathan
Kaiming He
Manohar Paluri
Yixuan Li
Ashwin R. Bharambe
L. V. D. van der Maaten
VLM
98
1,356
0
02 May 2018
Network Transplanting
Network Transplanting
Quanshi Zhang
Yu Yang
Ying Nian Wu
Song-Chun Zhu
OOD
14
5
0
26 Apr 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
498
0
24 Apr 2018
MobileFaceNets: Efficient CNNs for Accurate Real-Time Face Verification
  on Mobile Devices
MobileFaceNets: Efficient CNNs for Accurate Real-Time Face Verification on Mobile Devices
Sheng Chen
Yang Liu
Xiang Gao
Zhen Han
CVBM
3DH
27
557
0
20 Apr 2018
Pelee: A Real-Time Object Detection System on Mobile Devices
Pelee: A Real-Time Object Detection System on Mobile Devices
R. Wang
Xiang Li
Charles X. Ling
ObjD
19
454
0
18 Apr 2018
DeepMarks: A Digital Fingerprinting Framework for Deep Neural Networks
DeepMarks: A Digital Fingerprinting Framework for Deep Neural Networks
Huili Chen
B. Rouhani
F. Koushanfar
FedML
27
61
0
10 Apr 2018
Improve the performance of transfer learning without fine-tuning using
  dissimilarity-based multi-view learning for breast cancer histology images
Improve the performance of transfer learning without fine-tuning using dissimilarity-based multi-view learning for breast cancer histology images
Hongliu Cao
Simon Bernard
L. Heutte
R. Sabourin
21
59
0
29 Mar 2018
Efficient Image Dataset Classification Difficulty Estimation for
  Predicting Deep-Learning Accuracy
Efficient Image Dataset Classification Difficulty Estimation for Predicting Deep-Learning Accuracy
F. Scheidegger
R. Istrate
G. Mariani
Luca Benini
C. Bekas
C. Malossi
VLM
37
44
0
26 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
19
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
3LC: Lightweight and Effective Traffic Compression for Distributed
  Machine Learning
3LC: Lightweight and Effective Traffic Compression for Distributed Machine Learning
Hyeontaek Lim
D. Andersen
M. Kaminsky
15
70
0
21 Feb 2018
A Neural Multi-sequence Alignment TeCHnique (NeuMATCH)
A Neural Multi-sequence Alignment TeCHnique (NeuMATCH)
Pelin Dogan
Boyang Albert Li
Leonid Sigal
Markus Gross
AI4TS
30
19
0
19 Feb 2018
Towards Principled Design of Deep Convolutional Networks: Introducing
  SimpNet
Towards Principled Design of Deep Convolutional Networks: Introducing SimpNet
S. H. HasanPour
Mohammad Rouhani
Mohsen Fayyaz
Mohammad Sabokrou
Ehsan Adeli
50
45
0
17 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
Encoder-Decoder with Atrous Separable Convolution for Semantic Image
  Segmentation
Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
Liang-Chieh Chen
Yukun Zhu
George Papandreou
Florian Schroff
Hartwig Adam
SSeg
34
12,911
0
07 Feb 2018
IMPALA: Scalable Distributed Deep-RL with Importance Weighted
  Actor-Learner Architectures
IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures
L. Espeholt
Hubert Soyer
Rémi Munos
Karen Simonyan
Volodymyr Mnih
...
Vlad Firoiu
Tim Harley
Iain Dunning
Shane Legg
Koray Kavukcuoglu
18
1,574
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
29
11
0
25 Jan 2018
High performance ultra-low-precision convolutions on mobile devices
High performance ultra-low-precision convolutions on mobile devices
Andrew Tulloch
Yangqing Jia
HAI
MQ
16
27
0
06 Dec 2017
Convolutional Networks with Adaptive Inference Graphs
Convolutional Networks with Adaptive Inference Graphs
Andreas Veit
Serge J. Belongie
OOD
GNN
44
382
0
30 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
30
71
0
23 Nov 2017
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