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Designing Neural Network Architectures using Reinforcement Learning

Designing Neural Network Architectures using Reinforcement Learning

7 November 2016
Bowen Baker
O. Gupta
Nikhil Naik
Ramesh Raskar
ArXivPDFHTML

Papers citing "Designing Neural Network Architectures using Reinforcement Learning"

50 / 250 papers shown
Title
NAS-Count: Counting-by-Density with Neural Architecture Search
NAS-Count: Counting-by-Density with Neural Architecture Search
Yutao Hu
Xiaolong Jiang
Xuhui Liu
Baochang Zhang
Jungong Han
Xianbin Cao
David Doermann
38
89
0
29 Feb 2020
Evolutionary Optimization of Deep Learning Activation Functions
Evolutionary Optimization of Deep Learning Activation Functions
G. Bingham
William Macke
Risto Miikkulainen
ODL
19
50
0
17 Feb 2020
Evolutionary Neural Architecture Search for Retinal Vessel Segmentation
Evolutionary Neural Architecture Search for Retinal Vessel Segmentation
Zhun Fan
Jiahong Wei
Guijie Zhu
Jiajie Mo
Wenji Li
24
8
0
18 Jan 2020
Latency-Aware Differentiable Neural Architecture Search
Latency-Aware Differentiable Neural Architecture Search
Yuhui Xu
Lingxi Xie
Xiaopeng Zhang
Xin Chen
Bowen Shi
Qi Tian
H. Xiong
OOD
35
33
0
17 Jan 2020
Neural Architecture Search for Deep Image Prior
Neural Architecture Search for Deep Image Prior
Kary Ho
Andrew Gilbert
Hailin Jin
John Collomosse
22
36
0
14 Jan 2020
Deeper Insights into Weight Sharing in Neural Architecture Search
Deeper Insights into Weight Sharing in Neural Architecture Search
Yuge Zhang
Zejun Lin
Junyan Jiang
Quanlu Zhang
Yujing Wang
Hui Xue
Chen Zhang
Yaming Yang
35
49
0
06 Jan 2020
Lightweight Residual Densely Connected Convolutional Neural Network
Lightweight Residual Densely Connected Convolutional Neural Network
Fahimeh Fooladgar
S. Kasaei
24
13
0
02 Jan 2020
Progressive DARTS: Bridging the Optimization Gap for NAS in the Wild
Progressive DARTS: Bridging the Optimization Gap for NAS in the Wild
Xin Chen
Lingxi Xie
Jun Wu
Qi Tian
11
94
0
23 Dec 2019
C2FNAS: Coarse-to-Fine Neural Architecture Search for 3D Medical Image
  Segmentation
C2FNAS: Coarse-to-Fine Neural Architecture Search for 3D Medical Image Segmentation
Qihang Yu
Dong Yang
H. Roth
Yutong Bai
Yixiao Zhang
Alan Yuille
Daguang Xu
37
108
0
20 Dec 2019
UNAS: Differentiable Architecture Search Meets Reinforcement Learning
UNAS: Differentiable Architecture Search Meets Reinforcement Learning
Arash Vahdat
Arun Mallya
Ming Liu
Jan Kautz
30
34
0
16 Dec 2019
Blockwisely Supervised Neural Architecture Search with Knowledge
  Distillation
Blockwisely Supervised Neural Architecture Search with Knowledge Distillation
Changlin Li
Jiefeng Peng
Liuchun Yuan
Guangrun Wang
Xiaodan Liang
Liang Lin
Xiaojun Chang
36
180
0
29 Nov 2019
Meta-Learning of Neural Architectures for Few-Shot Learning
Meta-Learning of Neural Architectures for Few-Shot Learning
T. Elsken
B. Staffler
J. H. Metzen
Frank Hutter
31
136
0
25 Nov 2019
Exploiting Operation Importance for Differentiable Neural Architecture
  Search
Exploiting Operation Importance for Differentiable Neural Architecture Search
Xukai Xie
Yuan Zhou
S. Kung
17
34
0
24 Nov 2019
SM-NAS: Structural-to-Modular Neural Architecture Search for Object
  Detection
SM-NAS: Structural-to-Modular Neural Architecture Search for Object Detection
Lewei Yao
Hang Xu
Wei Zhang
Xiaodan Liang
Zhenguo Li
19
79
0
22 Nov 2019
BANANAS: Bayesian Optimization with Neural Architectures for Neural
  Architecture Search
BANANAS: Bayesian Optimization with Neural Architectures for Neural Architecture Search
Colin White
Willie Neiswanger
Yash Savani
BDL
51
314
0
25 Oct 2019
How can AI Automate End-to-End Data Science?
How can AI Automate End-to-End Data Science?
Charu C. Aggarwal
Djallel Bouneffouf
Horst Samulowitz
Beat Buesser
T. Hoang
...
Tejaswini Pedapati
Parikshit Ram
Ambrish Rawat
Martin Wistuba
Alexander G. Gray
88
14
0
22 Oct 2019
Meta-learning for fast classifier adaptation to new users of Signature
  Verification systems
Meta-learning for fast classifier adaptation to new users of Signature Verification systems
L. G. Hafemann
R. Sabourin
Luiz Eduardo Soares de Oliveira
AAML
35
25
0
17 Oct 2019
Searching for A Robust Neural Architecture in Four GPU Hours
Searching for A Robust Neural Architecture in Four GPU Hours
Xuanyi Dong
Yezhou Yang
20
648
0
10 Oct 2019
Sub-Architecture Ensemble Pruning in Neural Architecture Search
Sub-Architecture Ensemble Pruning in Neural Architecture Search
Yijun Bian
Qingquan Song
Mengnan Du
Jun Yao
Huanhuan Chen
Xia Hu
17
14
0
01 Oct 2019
ReNAS:Relativistic Evaluation of Neural Architecture Search
ReNAS:Relativistic Evaluation of Neural Architecture Search
Yixing Xu
Yunhe Wang
Avishkar Bhoopchand
Christopher Mattern
A. Grabska-Barwinska
Chunjing Xu
Chang Xu
32
82
0
30 Sep 2019
Synthetic Data for Deep Learning
Synthetic Data for Deep Learning
Sergey I. Nikolenko
51
349
0
25 Sep 2019
Constrained deep neural network architecture search for IoT devices
  accounting hardware calibration
Constrained deep neural network architecture search for IoT devices accounting hardware calibration
Florian Scheidegger
Luca Benini
C. Bekas
A. Malossi
3DV
32
15
0
24 Sep 2019
Model-Based and Data-Driven Strategies in Medical Image Computing
Model-Based and Data-Driven Strategies in Medical Image Computing
Daniel Rueckert
Julia A. Schnabel
OOD
MedIm
AI4CE
28
50
0
23 Sep 2019
Understanding and Robustifying Differentiable Architecture Search
Understanding and Robustifying Differentiable Architecture Search
Arber Zela
T. Elsken
Tonmoy Saikia
Yassine Marrakchi
Thomas Brox
Frank Hutter
OOD
AAML
66
369
0
20 Sep 2019
Auto-GNN: Neural Architecture Search of Graph Neural Networks
Auto-GNN: Neural Architecture Search of Graph Neural Networks
Kaixiong Zhou
Qingquan Song
Xiao Huang
Xia Hu
GNN
61
178
0
07 Sep 2019
Efficient Neural Architecture Transformation Searchin Channel-Level for
  Object Detection
Efficient Neural Architecture Transformation Searchin Channel-Level for Object Detection
Junran Peng
Ming Sun
Zhaoxiang Zhang
Tieniu Tan
Junjie Yan
ViT
35
56
0
05 Sep 2019
A Framework for Model Search Across Multiple Machine Learning
  Implementations
A Framework for Model Search Across Multiple Machine Learning Implementations
Yoshiki Takahashi
M. Asahara
Kazuyuki Shudo
23
3
0
27 Aug 2019
Differentiable Learning-to-Group Channels via Groupable Convolutional
  Neural Networks
Differentiable Learning-to-Group Channels via Groupable Convolutional Neural Networks
Zhaoyang Zhang
Jingyu Li
Wenqi Shao
Zhanglin Peng
Ruimao Zhang
Xiaogang Wang
Ping Luo
30
37
0
16 Aug 2019
AutoML: A Survey of the State-of-the-Art
AutoML: A Survey of the State-of-the-Art
Xin He
Kaiyong Zhao
Xiaowen Chu
48
1,423
0
02 Aug 2019
Towards AutoML in the presence of Drift: first results
Towards AutoML in the presence of Drift: first results
Jorge G. Madrid
Hugo Jair Escalante
E. Morales
Wei-Wei Tu
Yang Yu
Lisheng Sun-Hosoya
Isabelle M Guyon
Michele Sebag
13
25
0
24 Jul 2019
XferNAS: Transfer Neural Architecture Search
XferNAS: Transfer Neural Architecture Search
Martin Wistuba
29
12
0
18 Jul 2019
PC-DARTS: Partial Channel Connections for Memory-Efficient Architecture
  Search
PC-DARTS: Partial Channel Connections for Memory-Efficient Architecture Search
Yuhui Xu
Lingxi Xie
Xiaopeng Zhang
Xin Chen
Guo-Jun Qi
Qi Tian
H. Xiong
48
605
0
12 Jul 2019
AutoCompress: An Automatic DNN Structured Pruning Framework for
  Ultra-High Compression Rates
AutoCompress: An Automatic DNN Structured Pruning Framework for Ultra-High Compression Rates
Ning Liu
Xiaolong Ma
Zhiyuan Xu
Yanzhi Wang
Jian Tang
Jieping Ye
43
185
0
06 Jul 2019
Efficient Neural Interaction Function Search for Collaborative Filtering
Efficient Neural Interaction Function Search for Collaborative Filtering
Quanming Yao
Xiangning Chen
James T. Kwok
Yong Li
Cho-Jui Hsieh
19
43
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
OOD
AAML
24
36
0
27 Jun 2019
Hyp-RL : Hyperparameter Optimization by Reinforcement Learning
Hyp-RL : Hyperparameter Optimization by Reinforcement Learning
H. Jomaa
Josif Grabocka
Lars Schmidt-Thieme
25
65
0
27 Jun 2019
AGAN: Towards Automated Design of Generative Adversarial Networks
AGAN: Towards Automated Design of Generative Adversarial Networks
Hanchao Wang
Jun Huan
GAN
AI4CE
19
37
0
25 Jun 2019
Efficient Neural Architecture Search via Proximal Iterations
Efficient Neural Architecture Search via Proximal Iterations
Quanming Yao
Ju Xu
Wei-Wei Tu
Zhanxing Zhu
30
104
0
30 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
Searching for MobileNetV3
Searching for MobileNetV3
Andrew G. Howard
Mark Sandler
Grace Chu
Liang-Chieh Chen
Bo Chen
...
Yukun Zhu
Ruoming Pang
Vijay Vasudevan
Quoc V. Le
Hartwig Adam
115
6,623
0
06 May 2019
Routing Networks and the Challenges of Modular and Compositional
  Computation
Routing Networks and the Challenges of Modular and Compositional Computation
Clemens Rosenbaum
Ignacio Cases
Matthew D Riemer
Tim Klinger
40
78
0
29 Apr 2019
Benchmark and Survey of Automated Machine Learning Frameworks
Benchmark and Survey of Automated Machine Learning Frameworks
Marc-André Zöller
Marco F. Huber
25
86
0
26 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
Towards Optimal Structured CNN Pruning via Generative Adversarial
  Learning
Towards Optimal Structured CNN Pruning via Generative Adversarial Learning
Shaohui Lin
Rongrong Ji
Chenqian Yan
Baochang Zhang
Liujuan Cao
QiXiang Ye
Feiyue Huang
David Doermann
CVBM
22
505
0
22 Mar 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
Overcoming Multi-Model Forgetting
Overcoming Multi-Model Forgetting
Yassine Benyahia
Kaicheng Yu
Kamil Bennani-Smires
Martin Jaggi
A. Davison
Mathieu Salzmann
C. Musat
MoMe
KELM
CLL
35
37
0
21 Feb 2019
Evaluating the Search Phase of Neural Architecture Search
Evaluating the Search Phase of Neural Architecture Search
Kaicheng Yu
C. Sciuto
Martin Jaggi
C. Musat
Mathieu Salzmann
20
343
0
21 Feb 2019
AutoQ: Automated Kernel-Wise Neural Network Quantization
AutoQ: Automated Kernel-Wise Neural Network Quantization
Qian Lou
Feng Guo
Lantao Liu
Minje Kim
Lei Jiang
MQ
27
97
0
15 Feb 2019
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