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NAS-Bench-201: Extending the Scope of Reproducible Neural Architecture
  Search

NAS-Bench-201: Extending the Scope of Reproducible Neural Architecture Search

2 January 2020
Xuanyi Dong
Yi Yang
ArXivPDFHTML

Papers citing "NAS-Bench-201: Extending the Scope of Reproducible Neural Architecture Search"

34 / 134 papers shown
Title
Bag of Baselines for Multi-objective Joint Neural Architecture Search
  and Hyperparameter Optimization
Bag of Baselines for Multi-objective Joint Neural Architecture Search and Hyperparameter Optimization
Julia Guerrero-Viu
Sven Hauns
Sergio Izquierdo
Guilherme Miotto
Simon Schrodi
André Biedenkapp
T. Elsken
Difan Deng
Marius Lindauer
Frank Hutter
AI4CE
17
25
0
03 May 2021
Rethinking Neural Operations for Diverse Tasks
Rethinking Neural Operations for Diverse Tasks
Nicholas Roberts
M. Khodak
Tri Dao
Liam Li
Christopher Ré
Ameet Talwalkar
AI4CE
33
22
0
29 Mar 2021
BossNAS: Exploring Hybrid CNN-transformers with Block-wisely
  Self-supervised Neural Architecture Search
BossNAS: Exploring Hybrid CNN-transformers with Block-wisely Self-supervised Neural Architecture Search
Changlin Li
Tao Tang
Guangrun Wang
Jiefeng Peng
Bing Wang
Xiaodan Liang
Xiaojun Chang
ViT
46
105
0
23 Mar 2021
HW-NAS-Bench:Hardware-Aware Neural Architecture Search Benchmark
HW-NAS-Bench:Hardware-Aware Neural Architecture Search Benchmark
Chaojian Li
Zhongzhi Yu
Yonggan Fu
Yongan Zhang
Yang Katie Zhao
Haoran You
Qixuan Yu
Yue Wang
Yingyan Lin
36
105
0
19 Mar 2021
Searching by Generating: Flexible and Efficient One-Shot NAS with
  Architecture Generator
Searching by Generating: Flexible and Efficient One-Shot NAS with Architecture Generator
Sian-Yao Huang
W. Chu
14
25
0
12 Mar 2021
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
A Comprehensive Survey on Hardware-Aware Neural Architecture Search
A Comprehensive Survey on Hardware-Aware Neural Architecture Search
Hadjer Benmeziane
K. E. Maghraoui
Hamza Ouarnoughi
Smail Niar
Martin Wistuba
Naigang Wang
28
95
0
22 Jan 2021
AutoDropout: Learning Dropout Patterns to Regularize Deep Networks
AutoDropout: Learning Dropout Patterns to Regularize Deep Networks
Hieu H. Pham
Quoc V. Le
70
56
0
05 Jan 2021
Hyperparameter Transfer Across Developer Adjustments
Hyperparameter Transfer Across Developer Adjustments
Daniel Stoll
Jörg K.H. Franke
Diane Wagner
Simon Selg
Frank Hutter
25
12
0
25 Oct 2020
Training Stronger Baselines for Learning to Optimize
Training Stronger Baselines for Learning to Optimize
Tianlong Chen
Weiyi Zhang
Jingyang Zhou
Shiyu Chang
Sijia Liu
Lisa Amini
Zhangyang Wang
OffRL
22
51
0
18 Oct 2020
Adversarially Robust Neural Architectures
Adversarially Robust Neural Architectures
Minjing Dong
Yanxi Li
Yunhe Wang
Chang Xu
AAML
OOD
34
48
0
02 Sep 2020
Standing on the Shoulders of Giants: Hardware and Neural Architecture
  Co-Search with Hot Start
Standing on the Shoulders of Giants: Hardware and Neural Architecture Co-Search with Hot Start
Weiwen Jiang
Lei Yang
Sakyasingha Dasgupta
J. Hu
Yiyu Shi
22
59
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
10
200
0
16 Jul 2020
Rethinking Bottleneck Structure for Efficient Mobile Network Design
Rethinking Bottleneck Structure for Efficient Mobile Network Design
Zhou Daquan
Qibin Hou
Yunpeng Chen
Jiashi Feng
Shuicheng Yan
24
197
0
05 Jul 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
Neural Ensemble Search for Uncertainty Estimation and Dataset Shift
Neural Ensemble Search for Uncertainty Estimation and Dataset Shift
Sheheryar Zaidi
Arber Zela
T. Elsken
Chris Holmes
Frank Hutter
Yee Whye Teh
OOD
UQCV
15
71
0
15 Jun 2020
Multi-fidelity Neural Architecture Search with Knowledge Distillation
Multi-fidelity Neural Architecture Search with Knowledge Distillation
I. Trofimov
Nikita Klyuchnikov
Mikhail Salnikov
Alexander N. Filippov
Evgeny Burnaev
27
15
0
15 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
30
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
20
90
0
11 Jun 2020
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
16
16
0
10 Jun 2020
Speedy Performance Estimation for Neural Architecture Search
Speedy Performance Estimation for Neural Architecture Search
Binxin Ru
Clare Lyle
Lisa Schut
M. Fil
Mark van der Wilk
Y. Gal
15
35
0
08 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
48
653
0
01 Jun 2020
An Introduction to Neural Architecture Search for Convolutional Networks
An Introduction to Neural Architecture Search for Convolutional Networks
George Kyriakides
K. Margaritis
AI4CE
23
27
0
22 May 2020
Angle-based Search Space Shrinking for Neural Architecture Search
Angle-based Search Space Shrinking for Neural Architecture Search
Yiming Hu
Yuding Liang
Zichao Guo
Ruosi Wan
X. Zhang
Yichen Wei
Qingyi Gu
Jian-jun Sun
24
62
0
28 Apr 2020
Geometry-Aware Gradient Algorithms for Neural Architecture Search
Geometry-Aware Gradient Algorithms for Neural Architecture Search
Liam Li
M. Khodak
Maria-Florina Balcan
Ameet Talwalkar
18
66
0
16 Apr 2020
Meta-Learning in Neural Networks: A Survey
Meta-Learning in Neural Networks: A Survey
Timothy M. Hospedales
Antreas Antoniou
P. Micaelli
Amos Storkey
OOD
38
1,927
0
11 Apr 2020
A Generic Graph-based Neural Architecture Encoding Scheme for
  Predictor-based NAS
A Generic Graph-based Neural Architecture Encoding Scheme for Predictor-based NAS
Xuefei Ning
Yin Zheng
Tianchen Zhao
Yu Wang
Huazhong Yang
AI4CE
27
98
0
04 Apr 2020
How to Train Your Super-Net: An Analysis of Training Heuristics in
  Weight-Sharing NAS
How to Train Your Super-Net: An Analysis of Training Heuristics in Weight-Sharing NAS
Kaicheng Yu
René Ranftl
Mathieu Salzmann
21
34
0
09 Mar 2020
To Share or Not To Share: A Comprehensive Appraisal of Weight-Sharing
To Share or Not To Share: A Comprehensive Appraisal of Weight-Sharing
Aloïs Pourchot
Alexis Ducarouge
Olivier Sigaud
11
20
0
11 Feb 2020
NAS-Bench-1Shot1: Benchmarking and Dissecting One-shot Neural
  Architecture Search
NAS-Bench-1Shot1: Benchmarking and Dissecting One-shot Neural Architecture Search
Arber Zela
Julien N. Siems
Frank Hutter
82
147
0
28 Jan 2020
BANANAS: Bayesian Optimization with Neural Architectures for Neural
  Architecture Search
BANANAS: Bayesian Optimization with Neural Architectures for Neural Architecture Search
Colin White
W. Neiswanger
Yash Savani
BDL
28
313
0
25 Oct 2019
AutoML: A Survey of the State-of-the-Art
AutoML: A Survey of the State-of-the-Art
Xin He
Kaiyong Zhao
X. Chu
17
1,418
0
02 Aug 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-jun Sun
16
928
0
31 Mar 2019
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
264
5,326
0
05 Nov 2016
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