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Neural Architecture Search with Bayesian Optimisation and Optimal
  Transport
v1v2v3 (latest)

Neural Architecture Search with Bayesian Optimisation and Optimal Transport

11 February 2018
Kirthevasan Kandasamy
Willie Neiswanger
J. Schneider
Barnabás Póczós
Eric Xing
ArXiv (abs)PDFHTML

Papers citing "Neural Architecture Search with Bayesian Optimisation and Optimal Transport"

50 / 299 papers shown
Title
Inspect, Understand, Overcome: A Survey of Practical Methods for AI
  Safety
Inspect, Understand, Overcome: A Survey of Practical Methods for AI Safety
Sebastian Houben
Stephanie Abrecht
Maram Akila
Andreas Bär
Felix Brockherde
...
Serin Varghese
Michael Weber
Sebastian J. Wirkert
Tim Wirtz
Matthias Woehrle
AAML
126
58
0
29 Apr 2021
BM-NAS: Bilevel Multimodal Neural Architecture Search
BM-NAS: Bilevel Multimodal Neural Architecture Search
Yihang Yin
Siyu Huang
Xiang Zhang
84
27
0
19 Apr 2021
How Powerful are Performance Predictors in Neural Architecture Search?
How Powerful are Performance Predictors in Neural Architecture Search?
Colin White
Arber Zela
Binxin Ru
Yang Liu
Frank Hutter
64
129
0
02 Apr 2021
NAS-TC: Neural Architecture Search on Temporal Convolutions for Complex
  Action Recognition
NAS-TC: Neural Architecture Search on Temporal Convolutions for Complex Action Recognition
Pengzhen Ren
Gang Xiao
Xiaojun Chang
Yun Xiao
Zhihui Li
Xiaojiang Chen
ViT
74
4
0
17 Mar 2021
Mixed Variable Bayesian Optimization with Frequency Modulated Kernels
Mixed Variable Bayesian Optimization with Frequency Modulated Kernels
Changyong Oh
E. Gavves
Max Welling
70
6
0
25 Feb 2021
Contrastive Self-supervised Neural Architecture Search
Contrastive Self-supervised Neural Architecture Search
Nam Nguyen
Morris J Chang
37
20
0
21 Feb 2021
Neuroevolution in Deep Learning: The Role of Neutrality
Neuroevolution in Deep Learning: The Role of Neutrality
E. López
34
4
0
16 Feb 2021
AlphaNet: Improved Training of Supernets with Alpha-Divergence
AlphaNet: Improved Training of Supernets with Alpha-Divergence
Dilin Wang
Chengyue Gong
Meng Li
Qiang Liu
Vikas Chandra
214
45
0
16 Feb 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
79
28
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
90
34
0
10 Feb 2021
GIBBON: General-purpose Information-Based Bayesian OptimisatioN
GIBBON: General-purpose Information-Based Bayesian OptimisatioN
Henry B. Moss
David S. Leslie
Javier I. González
Paul Rayson
83
44
0
05 Feb 2021
Towards Improving the Consistency, Efficiency, and Flexibility of
  Differentiable Neural Architecture Search
Towards Improving the Consistency, Efficiency, and Flexibility of Differentiable Neural Architecture Search
Yibo Yang
Shan You
Hongyang Li
Fei Wang
Chao Qian
Zhouchen Lin
84
49
0
27 Jan 2021
Multi-objective Search of Robust Neural Architectures against Multiple
  Types of Adversarial Attacks
Multi-objective Search of Robust Neural Architectures against Multiple Types of Adversarial Attacks
Jia-Wei Liu
Yaochu Jin
AAMLOOD
70
37
0
16 Jan 2021
3D-ANAS: 3D Asymmetric Neural Architecture Search for Fast Hyperspectral
  Image Classification
3D-ANAS: 3D Asymmetric Neural Architecture Search for Fast Hyperspectral Image Classification
Haokui Zhang
Chengrong Gong
Yunpeng Bai
Zongwen Bai
Ying Li
49
27
0
12 Jan 2021
Advances in Electron Microscopy with Deep Learning
Advances in Electron Microscopy with Deep Learning
Jeffrey M. Ede
86
3
0
04 Jan 2021
Discovering Robust Convolutional Architecture at Targeted Capacity: A
  Multi-Shot Approach
Discovering Robust Convolutional Architecture at Targeted Capacity: A Multi-Shot Approach
Xuefei Ning
Jiaqi Zhao
Wenshuo Li
Tianchen Zhao
Yin Zheng
Huazhong Yang
Yu Wang
AAML
95
5
0
22 Dec 2020
On the performance of deep learning for numerical optimization: an
  application to protein structure prediction
On the performance of deep learning for numerical optimization: an application to protein structure prediction
H. Rakhshani
L. Idoumghar
Soheila Ghambari
Julien Lepagnot
Mathieu Brévilliers
52
9
0
17 Dec 2020
HEBO Pushing The Limits of Sample-Efficient Hyperparameter Optimisation
HEBO Pushing The Limits of Sample-Efficient Hyperparameter Optimisation
Alexander I. Cowen-Rivers
Wenlong Lyu
Rasul Tutunov
Zhi Wang
Antoine Grosnit
...
A. Maraval
Hao Jianye
Jun Wang
Jan Peters
H. Ammar
123
80
0
07 Dec 2020
NPAS: A Compiler-aware Framework of Unified Network Pruning and
  Architecture Search for Beyond Real-Time Mobile Acceleration
NPAS: A Compiler-aware Framework of Unified Network Pruning and Architecture Search for Beyond Real-Time Mobile Acceleration
Zhengang Li
Geng Yuan
Wei Niu
Pu Zhao
Yanyu Li
...
Sijia Liu
Kaiyuan Yang
Bin Ren
Yanzhi Wang
Xue Lin
MQ
100
27
0
01 Dec 2020
Optimizing the Neural Architecture of Reinforcement Learning Agents
Optimizing the Neural Architecture of Reinforcement Learning Agents
Nina Mazyavkina
S. Moustafa
I. Trofimov
Evgeny Burnaev
AI4CE
78
4
0
30 Nov 2020
Autonomous Graph Mining Algorithm Search with Best Speed/Accuracy
  Trade-off
Autonomous Graph Mining Algorithm Search with Best Speed/Accuracy Trade-off
Minji Yoon
Théophile Gervet
Bryan Hooi
Christos Faloutsos
57
18
0
26 Nov 2020
aw_nas: A Modularized and Extensible NAS framework
aw_nas: A Modularized and Extensible NAS framework
Xuefei Ning
Changcheng Tang
Wenshuo Li
Songyi Yang
Tianchen Zhao
Niansong Zhang
Tianyi Lu
Shuang Liang
Huazhong Yang
Yu Wang
61
5
0
25 Nov 2020
Large Scale Neural Architecture Search with Polyharmonic Splines
Large Scale Neural Architecture Search with Polyharmonic Splines
Ulrich Finkler
Michele Merler
Yikang Shen
Mayoore S. Jaiswal
Hui Wu
...
Chun-Fu Chen
Minsik Cho
David S. Kung
Rogerio Feris
Bishwaranjan Bhattacharjee
AI4CE
33
1
0
20 Nov 2020
Neural Network Design: Learning from Neural Architecture Search
Neural Network Design: Learning from Neural Architecture Search
Bas van Stein
Hongya Wang
Thomas Bäck
31
10
0
01 Nov 2020
Self-supervised Representation Learning for Evolutionary Neural
  Architecture Search
Self-supervised Representation Learning for Evolutionary Neural Architecture Search
Chen Wei
Yiping Tang
Chuang Niu
Haihong Hu
Yue Wang
Jimin Liang
85
21
0
31 Oct 2020
Neural Architecture Search of SPD Manifold Networks
Neural Architecture Search of SPD Manifold Networks
R. Sukthanker
Zhiwu Huang
Suryansh Kumar
Erik Goron Endsjo
Yan Wu
Luc Van Gool
99
14
0
27 Oct 2020
$μ$NAS: Constrained Neural Architecture Search for Microcontrollers
μμμNAS: Constrained Neural Architecture Search for Microcontrollers
Edgar Liberis
Łukasz Dudziak
Nicholas D. Lane
BDL
63
106
0
27 Oct 2020
AutoBSS: An Efficient Algorithm for Block Stacking Style Search
AutoBSS: An Efficient Algorithm for Block Stacking Style Search
Yikang Zhang
Jian Zhang
Zhaobai Zhong
71
4
0
20 Oct 2020
Neural Architecture Performance Prediction Using Graph Neural Networks
Neural Architecture Performance Prediction Using Graph Neural Networks
Jovita Lukasik
David Friede
Heiner Stuckenschmidt
Margret Keuper
GNNAI4CE
101
12
0
19 Oct 2020
Direct Federated Neural Architecture Search
Direct Federated Neural Architecture Search
Anubhav Garg
Amit Kumar Saha
Debo Dutta
FedML
65
16
0
13 Oct 2020
ISTA-NAS: Efficient and Consistent Neural Architecture Search by Sparse
  Coding
ISTA-NAS: Efficient and Consistent Neural Architecture Search by Sparse Coding
Yibo Yang
Hongyang Li
Shan You
Fei Wang
Chao Qian
Zhouchen Lin
63
60
0
13 Oct 2020
Revisiting Neural Architecture Search
Revisiting Neural Architecture Search
Anubhav Garg
Amit Kumar Saha
Debo Dutta
15
2
0
12 Oct 2020
Smooth Variational Graph Embeddings for Efficient Neural Architecture
  Search
Smooth Variational Graph Embeddings for Efficient Neural Architecture Search
Jovita Lukasik
David Friede
Arber Zela
Frank Hutter
Margret Keuper
79
19
0
09 Oct 2020
Parameter Optimization using high-dimensional Bayesian Optimization
Parameter Optimization using high-dimensional Bayesian Optimization
David Yenicelik
64
2
0
05 Oct 2020
BOSS: Bayesian Optimization over String Spaces
BOSS: Bayesian Optimization over String Spaces
Henry B. Moss
Daniel Beck
Javier I. González
David S. Leslie
Paul Rayson
81
69
0
02 Oct 2020
MS-RANAS: Multi-Scale Resource-Aware Neural Architecture Search
MS-RANAS: Multi-Scale Resource-Aware Neural Architecture Search
Cristian Cioflan
Radu Timofte
27
2
0
29 Sep 2020
Performance Indicator in Multilinear Compressive Learning
Performance Indicator in Multilinear Compressive Learning
D. Tran
Moncef Gabbouj
Alexandros Iosifidis
27
4
0
22 Sep 2020
Evolutionary Architecture Search for Graph Neural Networks
Evolutionary Architecture Search for Graph Neural Networks
Min Shi
David A. Wilson
Xingquan Zhu
Yu Huang
Zhuang Yuan
Jianxun Liu
Yufei Tang
AI4CE
75
22
0
21 Sep 2020
Review: Deep Learning in Electron Microscopy
Review: Deep Learning in Electron Microscopy
Jeffrey M. Ede
191
80
0
17 Sep 2020
Understanding the wiring evolution in differentiable neural architecture
  search
Understanding the wiring evolution in differentiable neural architecture search
Sirui Xie
Shou-Yong Hu
Xinjiang Wang
Chunxiao Liu
Jianping Shi
Xunying Liu
Dahua Lin
76
9
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
90
43
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
85
123
0
13 Aug 2020
Weight-Sharing Neural Architecture Search: A Battle to Shrink the
  Optimization Gap
Weight-Sharing Neural Architecture Search: A Battle to Shrink the Optimization Gap
Lingxi Xie
Xin Chen
Kaifeng Bi
Longhui Wei
Yuhui Xu
...
Lanfei Wang
Anxiang Xiao
Jianlong Chang
Xiaopeng Zhang
Qi Tian
ViT
92
111
0
04 Aug 2020
A Preliminary Exploration into an Alternative CellLineNet: An
  Evolutionary Approach
A Preliminary Exploration into an Alternative CellLineNet: An Evolutionary Approach
A. Nwachuku
X. Palmer
D. Akogo
96
0
0
26 Jul 2020
What and Where: Learn to Plug Adapters via NAS for Multi-Domain Learning
What and Where: Learn to Plug Adapters via NAS for Multi-Domain Learning
Hanbin Zhao
Hao Zeng
Xin Qin
Yongjian Fu
Haibo Wang
Bourahla Omar
Xi Li
76
18
0
24 Jul 2020
AttentionNAS: Spatiotemporal Attention Cell Search for Video
  Classification
AttentionNAS: Spatiotemporal Attention Cell Search for Video Classification
Xiaofang Wang
Xuehan Xiong
Maxim Neumann
A. Piergiovanni
Michael S. Ryoo
A. Angelova
Kris Kitani
Wei Hua
94
51
0
23 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
79
8
0
17 Jul 2020
A Study on Encodings for Neural Architecture Search
A Study on Encodings for Neural Architecture Search
Colin White
Willie Neiswanger
Sam Nolen
Yash Savani
AI4CE
70
74
0
09 Jul 2020
NASGEM: Neural Architecture Search via Graph Embedding Method
NASGEM: Neural Architecture Search via Graph Embedding Method
Hsin-Pai Cheng
Tunhou Zhang
Yixing Zhang
Shiyu Li
Feng Liang
Feng Yan
Meng Li
Vikas Chandra
H. Li
Yiran Chen
GNN
85
19
0
08 Jul 2020
Efficient Nonmyopic Bayesian Optimization via One-Shot Multi-Step Trees
Efficient Nonmyopic Bayesian Optimization via One-Shot Multi-Step Trees
Shali Jiang
Daniel R. Jiang
Maximilian Balandat
Brian Karrer
Jacob R. Gardner
Roman Garnett
82
44
0
29 Jun 2020
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