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AttentiveNAS: Improving Neural Architecture Search via Attentive
  Sampling

AttentiveNAS: Improving Neural Architecture Search via Attentive Sampling

18 November 2020
Dilin Wang
Meng Li
Chengyue Gong
Vikas Chandra
ArXivPDFHTML

Papers citing "AttentiveNAS: Improving Neural Architecture Search via Attentive Sampling"

40 / 40 papers shown
Title
Reinforcement learning
Reinforcement learning
Florentin Wörgötter
82
2,544
0
16 May 2024
Multi-objective Differentiable Neural Architecture Search
Multi-objective Differentiable Neural Architecture Search
R. Sukthanker
Arber Zela
B. Staffler
Samuel Dooley
Josif Grabocka
Frank Hutter
88
1
0
28 Feb 2024
AMEIR: Automatic Behavior Modeling, Interaction Exploration and MLP
  Investigation in the Recommender System
AMEIR: Automatic Behavior Modeling, Interaction Exploration and MLP Investigation in the Recommender System
Pengyu Zhao
Kecheng Xiao
Yuanxing Zhang
Kaigui Bian
Wei Yan
71
16
0
10 Jun 2020
FBNetV3: Joint Architecture-Recipe Search using Predictor Pretraining
FBNetV3: Joint Architecture-Recipe Search using Predictor Pretraining
Xiaoliang Dai
Alvin Wan
Peizhao Zhang
Bichen Wu
Zijian He
...
Kan Chen
Yuandong Tian
Matthew Yu
Peter Vajda
Joseph E. Gonzalez
57
73
0
03 Jun 2020
HAT: Hardware-Aware Transformers for Efficient Natural Language
  Processing
HAT: Hardware-Aware Transformers for Efficient Natural Language Processing
Hanrui Wang
Zhanghao Wu
Zhijian Liu
Han Cai
Ligeng Zhu
Chuang Gan
Song Han
82
262
0
28 May 2020
FBNetV2: Differentiable Neural Architecture Search for Spatial and
  Channel Dimensions
FBNetV2: Differentiable Neural Architecture Search for Spatial and Channel Dimensions
Alvin Wan
Xiaoliang Dai
Peizhao Zhang
Zijian He
Yuandong Tian
...
Matthew Yu
Tao Xu
Kan Chen
Peter Vajda
Joseph E. Gonzalez
64
289
0
12 Apr 2020
BigNAS: Scaling Up Neural Architecture Search with Big Single-Stage
  Models
BigNAS: Scaling Up Neural Architecture Search with Big Single-Stage Models
Jiahui Yu
Pengchong Jin
Hanxiao Liu
Gabriel Bender
Pieter-Jan Kindermans
Mingxing Tan
Thomas Huang
Xiaodan Song
Ruoming Pang
Quoc V. Le
70
303
0
24 Mar 2020
MaxUp: A Simple Way to Improve Generalization of Neural Network Training
MaxUp: A Simple Way to Improve Generalization of Neural Network Training
Chengyue Gong
Zhaolin Ren
Mao Ye
Qiang Liu
AAML
58
56
0
20 Feb 2020
NAS-Bench-201: Extending the Scope of Reproducible Neural Architecture
  Search
NAS-Bench-201: Extending the Scope of Reproducible Neural Architecture Search
Xuanyi Dong
Yi Yang
132
709
0
02 Jan 2020
NAS evaluation is frustratingly hard
NAS evaluation is frustratingly hard
Antoine Yang
P. Esperança
Fabio Maria Carlucci
62
168
0
28 Dec 2019
Once-for-All: Train One Network and Specialize it for Efficient
  Deployment
Once-for-All: Train One Network and Specialize it for Efficient Deployment
Han Cai
Chuang Gan
Tianzhe Wang
Zhekai Zhang
Song Han
OOD
100
1,277
0
26 Aug 2019
FairNAS: Rethinking Evaluation Fairness of Weight Sharing Neural
  Architecture Search
FairNAS: Rethinking Evaluation Fairness of Weight Sharing Neural Architecture Search
Xiangxiang Chu
Bo Zhang
Ruijun Xu
59
332
0
03 Jul 2019
Generalization Bounds of Stochastic Gradient Descent for Wide and Deep
  Neural Networks
Generalization Bounds of Stochastic Gradient Descent for Wide and Deep Neural Networks
Yuan Cao
Quanquan Gu
MLT
AI4CE
80
389
0
30 May 2019
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
Mingxing Tan
Quoc V. Le
3DV
MedIm
131
18,058
0
28 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
333
6,737
0
06 May 2019
Single-Path NAS: Designing Hardware-Efficient ConvNets in less than 4
  Hours
Single-Path NAS: Designing Hardware-Efficient ConvNets in less than 4 Hours
Dimitrios Stamoulis
Ruizhou Ding
Di Wang
Dimitrios Lymberopoulos
B. Priyantha
Jie Liu
Diana Marculescu
48
285
0
05 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
66
935
0
31 Mar 2019
Universally Slimmable Networks and Improved Training Techniques
Universally Slimmable Networks and Improved Training Techniques
Jiahui Yu
Thomas Huang
74
385
0
12 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
77
682
0
25 Feb 2019
ChamNet: Towards Efficient Network Design through Platform-Aware Model
  Adaptation
ChamNet: Towards Efficient Network Design through Platform-Aware Model Adaptation
Xiaoliang Dai
Peizhao Zhang
Bichen Wu
Hongxu Yin
Fei Sun
...
Yiming Wu
Yangqing Jia
Peter Vajda
M. Uyttendaele
N. Jha
66
272
0
21 Dec 2018
FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural
  Architecture Search
FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search
Bichen Wu
Xiaoliang Dai
Peizhao Zhang
Yanghan Wang
Fei Sun
Yiming Wu
Yuandong Tian
Peter Vajda
Yangqing Jia
Kurt Keutzer
MQ
97
1,300
0
09 Dec 2018
ProxylessNAS: Direct Neural Architecture Search on Target Task and
  Hardware
ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware
Han Cai
Ligeng Zhu
Song Han
93
1,867
0
02 Dec 2018
A Convergence Theory for Deep Learning via Over-Parameterization
A Convergence Theory for Deep Learning via Over-Parameterization
Zeyuan Allen-Zhu
Yuanzhi Li
Zhao Song
AI4CE
ODL
236
1,461
0
09 Nov 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
43
28
0
29 Aug 2018
Unsupervised Hard Example Mining from Videos for Improved Object
  Detection
Unsupervised Hard Example Mining from Videos for Improved Object Detection
SouYoung Jin
Aruni RoyChowdhury
Huaizu Jiang
Ashish Singh
Aditya Prasad
Deep Chakraborty
Erik Learned-Miller
ObjD
98
63
0
13 Aug 2018
MnasNet: Platform-Aware Neural Architecture Search for Mobile
MnasNet: Platform-Aware Neural Architecture Search for Mobile
Mingxing Tan
Bo Chen
Ruoming Pang
Vijay Vasudevan
Mark Sandler
Andrew G. Howard
Quoc V. Le
MQ
114
3,004
0
31 Jul 2018
DARTS: Differentiable Architecture Search
DARTS: Differentiable Architecture Search
Hanxiao Liu
Karen Simonyan
Yiming Yang
185
4,345
0
24 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
118
1,771
0
24 May 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
105
87
0
01 Mar 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
107
2,761
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
150
3,025
0
05 Feb 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
171
19,204
0
13 Jan 2018
Squeeze-and-Excitation Networks
Squeeze-and-Excitation Networks
Jie Hu
Li Shen
Samuel Albanie
Gang Sun
Enhua Wu
399
26,365
0
05 Sep 2017
Learning Transferable Architectures for Scalable Image Recognition
Learning Transferable Architectures for Scalable Image Recognition
Barret Zoph
Vijay Vasudevan
Jonathon Shlens
Quoc V. Le
170
5,596
0
21 Jul 2017
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
1.1K
20,813
0
17 Apr 2017
Genetic CNN
Genetic CNN
Lingxi Xie
Alan Yuille
3DV
121
842
0
04 Mar 2017
Large-Scale Evolution of Image Classifiers
Large-Scale Evolution of Image Classifiers
Esteban Real
Sherry Moore
Andrew Selle
Saurabh Saxena
Y. Suematsu
Jie Tan
Quoc V. Le
Alexey Kurakin
116
1,637
0
03 Mar 2017
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
439
5,367
0
05 Nov 2016
Training Region-based Object Detectors with Online Hard Example Mining
Training Region-based Object Detectors with Online Hard Example Mining
Abhinav Shrivastava
Abhinav Gupta
Ross B. Girshick
ObjD
143
2,415
0
12 Apr 2016
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained
  Quantization and Huffman Coding
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding
Song Han
Huizi Mao
W. Dally
3DGS
245
8,821
0
01 Oct 2015
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