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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 / 238 papers shown
Title
CATE: Computation-aware Neural Architecture Encoding with Transformers
CATE: Computation-aware Neural Architecture Encoding with Transformers
Shen Yan
Kaiqiang Song
Z. Feng
Mi Zhang
22
24
0
14 Feb 2021
Searching for Fast Model Families on Datacenter Accelerators
Searching for Fast Model Families on Datacenter Accelerators
Sheng Li
Mingxing Tan
Ruoming Pang
Andrew Li
Liqun Cheng
Quoc V. Le
N. Jouppi
34
34
0
10 Feb 2021
Generalization of Model-Agnostic Meta-Learning Algorithms: Recurring and
  Unseen Tasks
Generalization of Model-Agnostic Meta-Learning Algorithms: Recurring and Unseen Tasks
Alireza Fallah
Aryan Mokhtari
Asuman Ozdaglar
25
49
0
07 Feb 2021
Adaptive Remote Sensing Image Attribute Learning for Active Object
  Detection
Adaptive Remote Sensing Image Attribute Learning for Active Object Detection
Nuo Xu
Chunlei Huo
Jiacheng Guo
Yiwei Liu
Jian Wang
Chunhong Pan
ObjD
16
4
0
16 Jan 2021
Unchain the Search Space with Hierarchical Differentiable Architecture
  Search
Unchain the Search Space with Hierarchical Differentiable Architecture Search
Guanting Liu
Yujie Zhong
Sheng Guo
Matthew R. Scott
Weilin Huang
AI4CE
24
2
0
11 Jan 2021
AutoCaption: Image Captioning with Neural Architecture Search
AutoCaption: Image Captioning with Neural Architecture Search
Xinxin Zhu
Weining Wang
Longteng Guo
Jing Liu
29
9
0
16 Dec 2020
Auto-MVCNN: Neural Architecture Search for Multi-view 3D Shape
  Recognition
Auto-MVCNN: Neural Architecture Search for Multi-view 3D Shape Recognition
Zhaoqun Li
Hongren Wang
Jinxing Li
3DPC
3DV
11
8
0
10 Dec 2020
Inter-layer Transition in Neural Architecture Search
Inter-layer Transition in Neural Architecture Search
Benteng Ma
Jing Zhang
Yong-quan Xia
Dacheng Tao
34
4
0
30 Nov 2020
EvoPose2D: Pushing the Boundaries of 2D Human Pose Estimation using
  Accelerated Neuroevolution with Weight Transfer
EvoPose2D: Pushing the Boundaries of 2D Human Pose Estimation using Accelerated Neuroevolution with Weight Transfer
William J. McNally
Kanav Vats
Alexander Wong
J. McPhee
3DH
30
16
0
17 Nov 2020
Phoebe: Reuse-Aware Online Caching with Reinforcement Learning for
  Emerging Storage Models
Phoebe: Reuse-Aware Online Caching with Reinforcement Learning for Emerging Storage Models
Nan Wu
Pengcheng Li
19
7
0
13 Nov 2020
Automated Concatenation of Embeddings for Structured Prediction
Automated Concatenation of Embeddings for Structured Prediction
Xinyu Wang
Yong-jia Jiang
Nguyen Bach
Tao Wang
Zhongqiang Huang
Fei Huang
Kewei Tu
35
172
0
10 Oct 2020
RelativeNAS: Relative Neural Architecture Search via Slow-Fast Learning
RelativeNAS: Relative Neural Architecture Search via Slow-Fast Learning
Hao Tan
Ran Cheng
Shihua Huang
Cheng He
Changxiao Qiu
Fan Yang
Ping Luo
OOD
11
40
0
14 Sep 2020
Adversarially Robust Neural Architectures
Adversarially Robust Neural Architectures
Minjing Dong
Yanxi Li
Yunhe Wang
Chang Xu
AAML
OOD
42
48
0
02 Sep 2020
A Novel Training Protocol for Performance Predictors of Evolutionary
  Neural Architecture Search Algorithms
A Novel Training Protocol for Performance Predictors of Evolutionary Neural Architecture Search Algorithms
Yizhou Sun
Xian Sun
Yuhan Fang
Gary G. Yen
11
41
0
30 Aug 2020
Can weight sharing outperform random architecture search? An
  investigation with TuNAS
Can weight sharing outperform random architecture search? An investigation with TuNAS
Gabriel Bender
Hanxiao Liu
Bo Chen
Grace Chu
Shuyang Cheng
Pieter-Jan Kindermans
Quoc V. Le
OOD
18
121
0
13 Aug 2020
CurveLane-NAS: Unifying Lane-Sensitive Architecture Search and Adaptive
  Point Blending
CurveLane-NAS: Unifying Lane-Sensitive Architecture Search and Adaptive Point Blending
Hang Xu
Shaoju Wang
Xinyue Cai
Wei Zhang
Xiaodan Liang
Zhenguo Li
17
182
0
23 Jul 2020
OnlineAugment: Online Data Augmentation with Less Domain Knowledge
OnlineAugment: Online Data Augmentation with Less Domain Knowledge
Zhiqiang Tang
Yunhe Gao
Leonid Karlinsky
P. Sattigeri
Rogerio Feris
Dimitris N. Metaxas
19
56
0
17 Jul 2020
Neural Architecture Search For LF-MMI Trained Time Delay Neural Networks
Neural Architecture Search For LF-MMI Trained Time Delay Neural Networks
Shoukang Hu
Xurong Xie
Shansong Liu
Mingyu Cui
Mengzhe Geng
Xunying Liu
Helen Meng
19
8
0
17 Jul 2020
BRP-NAS: Prediction-based NAS using GCNs
BRP-NAS: Prediction-based NAS using GCNs
L. Dudziak
Thomas C. P. Chau
Mohamed S. Abdelfattah
Royson Lee
Hyeji Kim
Nicholas D. Lane
GNN
17
200
0
16 Jul 2020
Efficient Hyperparameter Optimization in Deep Learning Using a Variable
  Length Genetic Algorithm
Efficient Hyperparameter Optimization in Deep Learning Using a Variable Length Genetic Algorithm
Xueli Xiao
Ming Yan
S. Basodi
Chunyan Ji
Yi Pan
24
90
0
23 Jun 2020
Cyclic Differentiable Architecture Search
Cyclic Differentiable Architecture Search
Hongyuan Yu
Houwen Peng
Yan Huang
Jianlong Fu
Hao Du
Liang Wang
Haibin Ling
3DPC
25
48
0
18 Jun 2020
Optimal Transport Kernels for Sequential and Parallel Neural
  Architecture Search
Optimal Transport Kernels for Sequential and Parallel Neural Architecture Search
Vu-Linh Nguyen
Tam Le
M. Yamada
Michael A. Osborne
AI4TS
26
37
0
13 Jun 2020
Does Unsupervised Architecture Representation Learning Help Neural
  Architecture Search?
Does Unsupervised Architecture Representation Learning Help Neural Architecture Search?
Shen Yan
Yu Zheng
Wei Ao
Xiao Zeng
Mi Zhang
SSL
AI4CE
32
99
0
12 Jun 2020
Few-shot Neural Architecture Search
Few-shot Neural Architecture Search
Yiyang Zhao
Linnan Wang
Yuandong Tian
Rodrigo Fonseca
Tian Guo
23
90
0
11 Jun 2020
Neuroevolution in Deep Neural Networks: Current Trends and Future
  Challenges
Neuroevolution in Deep Neural Networks: Current Trends and Future Challenges
E. Galván
P. Mooney
29
129
0
09 Jun 2020
A Comprehensive Survey of Neural Architecture Search: Challenges and
  Solutions
A Comprehensive Survey of Neural Architecture Search: Challenges and Solutions
Pengzhen Ren
Yun Xiao
Xiaojun Chang
Po-Yao (Bernie) Huang
Zhihui Li
Xiaojiang Chen
Xin Wang
AI4CE
74
654
0
01 Jun 2020
Gradient Monitored Reinforcement Learning
Gradient Monitored Reinforcement Learning
Mohammed Sharafath Abdul Hameed
Gavneet Singh Chadha
Andreas Schwung
S. Ding
33
10
0
25 May 2020
Powering One-shot Topological NAS with Stabilized Share-parameter Proxy
Powering One-shot Topological NAS with Stabilized Share-parameter Proxy
Ronghao Guo
Chen Lin
Chuming Li
Keyu Tian
Ming Sun
Lu Sheng
Junjie Yan
BDL
31
17
0
21 May 2020
Dynamic Sparse Training: Find Efficient Sparse Network From Scratch With
  Trainable Masked Layers
Dynamic Sparse Training: Find Efficient Sparse Network From Scratch With Trainable Masked Layers
Junjie Liu
Zhe Xu
Runbin Shi
R. Cheung
Hayden Kwok-Hay So
17
119
0
14 May 2020
A Semi-Supervised Assessor of Neural Architectures
A Semi-Supervised Assessor of Neural Architectures
Yehui Tang
Yunhe Wang
Yixing Xu
Hanting Chen
Chunjing Xu
Boxin Shi
Chao Xu
Qi Tian
Chang Xu
16
67
0
14 May 2020
Comparison and Benchmarking of AI Models and Frameworks on Mobile
  Devices
Comparison and Benchmarking of AI Models and Frameworks on Mobile Devices
Chunjie Luo
Xiwen He
Jianfeng Zhan
Lei Wang
Wanling Gao
Jiahui Dai
ELM
27
58
0
07 May 2020
Predicting atmospheric optical properties for radiative transfer
  computations using neural networks
Predicting atmospheric optical properties for radiative transfer computations using neural networks
M. Veerman
R. Pincus
Robin Stoffer
C. V. van Leeuwen
Damian Podareanu
C. V. van Heerwaarden
6
34
0
05 May 2020
A Comprehensive Overview and Survey of Recent Advances in Meta-Learning
A Comprehensive Overview and Survey of Recent Advances in Meta-Learning
Huimin Peng
VLM
OffRL
22
35
0
17 Apr 2020
Evolving Normalization-Activation Layers
Evolving Normalization-Activation Layers
Hanxiao Liu
Andrew Brock
Karen Simonyan
Quoc V. Le
19
79
0
06 Apr 2020
Real-Time Semantic Segmentation via Auto Depth, Downsampling Joint
  Decision and Feature Aggregation
Real-Time Semantic Segmentation via Auto Depth, Downsampling Joint Decision and Feature Aggregation
Peng Sun
Jiaxiang Wu
Songyuan Li
Peiwen Lin
Junzhou Huang
Xi Li
SSeg
19
13
0
31 Mar 2020
Disturbance-immune Weight Sharing for Neural Architecture Search
Disturbance-immune Weight Sharing for Neural Architecture Search
Shuaicheng Niu
Jiaxiang Wu
Yifan Zhang
Yong Guo
P. Zhao
Junzhou Huang
Mingkui Tan
15
27
0
29 Mar 2020
DCNAS: Densely Connected Neural Architecture Search for Semantic Image
  Segmentation
DCNAS: Densely Connected Neural Architecture Search for Semantic Image Segmentation
Xiong Zhang
Hongmin Xu
Hong Mo
Jianchao Tan
Cheng Yang
Lei Wang
Wenqi Ren
AI4CE
27
91
0
26 Mar 2020
Hit-Detector: Hierarchical Trinity Architecture Search for Object
  Detection
Hit-Detector: Hierarchical Trinity Architecture Search for Object Detection
Jianyuan Guo
Kai Han
Yunhe Wang
Chao Zhang
Zhaohui Yang
Hanxue Wu
Xinghao Chen
Chang Xu
22
99
0
26 Mar 2020
BS-NAS: Broadening-and-Shrinking One-Shot NAS with Searchable Numbers of
  Channels
BS-NAS: Broadening-and-Shrinking One-Shot NAS with Searchable Numbers of Channels
Zan Shen
Jiang Qian
Bojin Zhuang
Shaojun Wang
Jing Xiao
28
5
0
22 Mar 2020
SASL: Saliency-Adaptive Sparsity Learning for Neural Network
  Acceleration
SASL: Saliency-Adaptive Sparsity Learning for Neural Network Acceleration
Jun Shi
Jianfeng Xu
K. Tasaka
Zhibo Chen
6
25
0
12 Mar 2020
AutoML-Zero: Evolving Machine Learning Algorithms From Scratch
AutoML-Zero: Evolving Machine Learning Algorithms From Scratch
Esteban Real
Chen Liang
David R. So
Quoc V. Le
39
220
0
06 Mar 2020
BATS: Binary ArchitecTure Search
BATS: Binary ArchitecTure Search
Adrian Bulat
Brais Martínez
Georgios Tzimiropoulos
MQ
25
67
0
03 Mar 2020
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
48
0
06 Jan 2020
Lightweight Residual Densely Connected Convolutional Neural Network
Lightweight Residual Densely Connected Convolutional Neural Network
Fahimeh Fooladgar
S. Kasaei
19
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
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