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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"

49 / 299 papers shown
Title
Self-Adaptive 2D-3D Ensemble of Fully Convolutional Networks for Medical
  Image Segmentation
Self-Adaptive 2D-3D Ensemble of Fully Convolutional Networks for Medical Image Segmentation
Maria G. Baldeon Calisto
S. Lai-Yuen
68
16
0
26 Jul 2019
High Dimensional Bayesian Optimization via Supervised Dimension
  Reduction
High Dimensional Bayesian Optimization via Supervised Dimension Reduction
Miao Zhang
Huiqi Li
Steven W. Su
56
44
0
21 Jul 2019
Techniques for Automated Machine Learning
Techniques for Automated Machine Learning
Yi-Wei Chen
Qingquan Song
Helen Zhou
65
50
0
21 Jul 2019
Controlling Model Complexity in Probabilistic Model-Based Dynamic
  Optimization of Neural Network Structures
Controlling Model Complexity in Probabilistic Model-Based Dynamic Optimization of Neural Network Structures
Shota Saito
Shinichi Shirakawa
23
3
0
15 Jul 2019
EPNAS: Efficient Progressive Neural Architecture Search
EPNAS: Efficient Progressive Neural Architecture Search
Yanqi Zhou
Peng Wang
Sercan O. Arik
Haonan Yu
Syed Zawad
Feng Yan
G. Diamos
47
5
0
07 Jul 2019
Single-Path Mobile AutoML: Efficient ConvNet Design and NAS
  Hyperparameter Optimization
Single-Path Mobile AutoML: Efficient ConvNet Design and NAS Hyperparameter Optimization
Dimitrios Stamoulis
Ruizhou Ding
Di Wang
Dimitrios Lymberopoulos
B. Priyantha
Jie Liu
Diana Marculescu
47
34
0
01 Jul 2019
Evolving Robust Neural Architectures to Defend from Adversarial Attacks
Evolving Robust Neural Architectures to Defend from Adversarial Attacks
Shashank Kotyan
Danilo Vasconcellos Vargas
OODAAML
71
36
0
27 Jun 2019
One-Shot Neural Architecture Search via Compressive Sensing
One-Shot Neural Architecture Search via Compressive Sensing
Minsu Cho
Mohammadreza Soltani
Chinmay Hegde
62
17
0
07 Jun 2019
Automated Machine Learning: State-of-The-Art and Open Challenges
Automated Machine Learning: State-of-The-Art and Open Challenges
Radwa El Shawi
Mohamed Maher
Sherif Sakr
58
162
0
05 Jun 2019
Deep Bayesian Optimization on Attributed Graphs
Deep Bayesian Optimization on Attributed Graphs
Jiaxu Cui
Bo Yang
Helen Zhou
29
6
0
31 May 2019
Efficient Forward Architecture Search
Efficient Forward Architecture Search
Hanzhang Hu
John Langford
R. Caruana
Saurajit Mukherjee
Eric Horvitz
Debadeepta Dey
53
40
0
31 May 2019
AI-GAs: AI-generating algorithms, an alternate paradigm for producing
  general artificial intelligence
AI-GAs: AI-generating algorithms, an alternate paradigm for producing general artificial intelligence
Jeff Clune
137
122
0
27 May 2019
Bayesian Optimization with Approximate Set Kernels
Bayesian Optimization with Approximate Set Kernels
Jungtaek Kim
M. McCourt
Tackgeun You
Saehoon Kim
Seungjin Choi
80
8
0
23 May 2019
DARC: Differentiable ARchitecture Compression
DARC: Differentiable ARchitecture Compression
Shashank Singh
A. Khetan
Zohar Karnin
AI4CE
53
7
0
20 May 2019
Deep Neural Architecture Search with Deep Graph Bayesian Optimization
Deep Neural Architecture Search with Deep Graph Bayesian Optimization
Lizheng Ma
Jiaxu Cui
Bo Yang
AI4CEBDL
55
50
0
14 May 2019
EENA: Efficient Evolution of Neural Architecture
EENA: Efficient Evolution of Neural Architecture
Hui Zhu
Zhulin An
Chuanguang Yang
Kaiqiang Xu
Erhu Zhao
Yongjun Xu
3DV
101
39
0
10 May 2019
Efficient Neural Architecture Search on Low-Dimensional Data for OCT
  Image Segmentation
Efficient Neural Architecture Search on Low-Dimensional Data for OCT Image Segmentation
N. Gessert
Alexander Schlaefer
50
5
0
07 May 2019
A Survey on Neural Architecture Search
A Survey on Neural Architecture Search
Martin Wistuba
Ambrish Rawat
Tejaswini Pedapati
AI4CE
100
259
0
04 May 2019
Blurring the Line Between Structure and Learning to Optimize and Adapt
  Receptive Fields
Blurring the Line Between Structure and Learning to Optimize and Adapt Receptive Fields
Evan Shelhamer
Dequan Wang
Trevor Darrell
87
35
0
25 Apr 2019
D-VAE: A Variational Autoencoder for Directed Acyclic Graphs
D-VAE: A Variational Autoencoder for Directed Acyclic Graphs
Muhan Zhang
Shali Jiang
Zhicheng Cui
Roman Garnett
Yixin Chen
GNNBDLCML
118
203
0
24 Apr 2019
Nucleus Neural Network: A Data-driven Self-organized Architecture
Nucleus Neural Network: A Data-driven Self-organized Architecture
Jia Liu
Maoguo Gong
Haibo He
51
2
0
08 Apr 2019
Resource Constrained Neural Network Architecture Search: Will a
  Submodularity Assumption Help?
Resource Constrained Neural Network Architecture Search: Will a Submodularity Assumption Help?
Yunyang Xiong
Ronak R. Mehta
Vikas Singh
89
33
0
08 Apr 2019
Template-Based Automatic Search of Compact Semantic Segmentation
  Architectures
Template-Based Automatic Search of Compact Semantic Segmentation Architectures
Vladimir Nekrasov
Chunhua Shen
Ian Reid
SSegVLM
51
10
0
04 Apr 2019
Tuning Hyperparameters without Grad Students: Scalable and Robust
  Bayesian Optimisation with Dragonfly
Tuning Hyperparameters without Grad Students: Scalable and Robust Bayesian Optimisation with Dragonfly
Kirthevasan Kandasamy
Karun Raju Vysyaraju
Willie Neiswanger
Biswajit Paria
Christopher R. Collins
J. Schneider
Barnabás Póczós
Eric Xing
89
176
0
15 Mar 2019
Topological Bayesian Optimization with Persistence Diagrams
Topological Bayesian Optimization with Persistence Diagrams
T. Shiraishi
Tam Le
H. Kashima
M. Yamada
37
2
0
26 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
110
344
0
21 Feb 2019
Random Search and Reproducibility for Neural Architecture Search
Random Search and Reproducibility for Neural Architecture Search
Liam Li
Ameet Talwalkar
OOD
99
727
0
20 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
102
98
0
15 Feb 2019
Capacity allocation analysis of neural networks: A tool for principled
  architecture design
Capacity allocation analysis of neural networks: A tool for principled architecture design
Jonathan Donier
49
4
0
12 Feb 2019
Combinatorial Bayesian Optimization using the Graph Cartesian Product
Combinatorial Bayesian Optimization using the Graph Cartesian Product
Changyong Oh
Jakub M. Tomczak
E. Gavves
Max Welling
95
108
0
01 Feb 2019
Learnable Embedding Space for Efficient Neural Architecture Compression
Learnable Embedding Space for Efficient Neural Architecture Compression
Shengcao Cao
Xiaofang Wang
Kris Kitani
89
43
0
01 Feb 2019
ProBO: Versatile Bayesian Optimization Using Any Probabilistic
  Programming Language
ProBO: Versatile Bayesian Optimization Using Any Probabilistic Programming Language
Willie Neiswanger
Kirthevasan Kandasamy
Barnabás Póczós
J. Schneider
Eric Xing
94
18
0
31 Jan 2019
Regret bounds for meta Bayesian optimization with an unknown Gaussian
  process prior
Regret bounds for meta Bayesian optimization with an unknown Gaussian process prior
Zi Wang
Beomjoon Kim
L. Kaelbling
74
54
0
23 Nov 2018
PILAE: A Non-gradient Descent Learning Scheme for Deep Feedforward
  Neural Networks
PILAE: A Non-gradient Descent Learning Scheme for Deep Feedforward Neural Networks
Ping Guo
Ke Wang
Xiuling Zhou
44
18
0
05 Nov 2018
Automated Machine Learning: From Principles to Practices
Automated Machine Learning: From Principles to Practices
Quanming Yao
Mengshuo Wang
Hugo Jair Escalante
Huan Zhao
Qiang Yang
114
259
0
31 Oct 2018
Fast Neural Architecture Search of Compact Semantic Segmentation Models
  via Auxiliary Cells
Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary Cells
Vladimir Nekrasov
Hao Chen
Chunhua Shen
Ian Reid
SSeg
88
150
0
25 Oct 2018
Deep Reinforcement Learning
Deep Reinforcement Learning
Yuxi Li
VLMOffRL
191
144
0
15 Oct 2018
NSGA-Net: Neural Architecture Search using Multi-Objective Genetic
  Algorithm
NSGA-Net: Neural Architecture Search using Multi-Objective Genetic Algorithm
Zhichao Lu
Ian Whalen
Vishnu Boddeti
Yashesh D. Dhebar
Kalyanmoy Deb
E. Goodman
W. Banzhaf
87
81
0
08 Oct 2018
Coverage-Based Designs Improve Sample Mining and Hyper-Parameter
  Optimization
Coverage-Based Designs Improve Sample Mining and Hyper-Parameter Optimization
Gowtham Muniraju
B. Kailkhura
Jayaraman J. Thiagarajan
P. Bremer
C. Tepedelenlioğlu
A. Spanias
36
10
0
05 Sep 2018
Neural Architecture Optimization
Neural Architecture Optimization
Renqian Luo
Fei Tian
Tao Qin
Enhong Chen
Tie-Yan Liu
3DV
112
659
0
22 Aug 2018
OBOE: Collaborative Filtering for AutoML Model Selection
OBOE: Collaborative Filtering for AutoML Model Selection
Chengrun Yang
Yuji Akimoto
Dae Won Kim
Madeleine Udell
54
101
0
09 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
137
3,022
0
31 Jul 2018
Auto-Keras: An Efficient Neural Architecture Search System
Auto-Keras: An Efficient Neural Architecture Search System
Haifeng Jin
Qingquan Song
Helen Zhou
133
813
0
27 Jun 2018
DARTS: Differentiable Architecture Search
DARTS: Differentiable Architecture Search
Hanxiao Liu
Karen Simonyan
Yiming Yang
212
4,380
0
24 Jun 2018
Resource-Efficient Neural Architect
Resource-Efficient Neural Architect
Yanqi Zhou
S. Ebrahimi
Sercan O. Arik
Haonan Yu
Hairong Liu
G. Diamos
67
64
0
12 Jun 2018
Parallel Architecture and Hyperparameter Search via Successive Halving
  and Classification
Parallel Architecture and Hyperparameter Search via Successive Halving and Classification
Manoj Kumar
George E. Dahl
Vijay Vasudevan
Mohammad Norouzi
84
25
0
25 May 2018
GNAS: A Greedy Neural Architecture Search Method for Multi-Attribute
  Learning
GNAS: A Greedy Neural Architecture Search Method for Multi-Attribute Learning
Siyu Huang
Xi Li
Zhi-Qi Cheng
Zhongfei Zhang
Alexander G. Hauptmann
76
56
0
19 Apr 2018
Fast Neural Architecture Construction using EnvelopeNets
Fast Neural Architecture Construction using EnvelopeNets
Purushotham Kamath
Abhishek Singh
Debo Dutta
3DPC
51
7
0
18 Mar 2018
Demystifying Parallel and Distributed Deep Learning: An In-Depth
  Concurrency Analysis
Demystifying Parallel and Distributed Deep Learning: An In-Depth Concurrency Analysis
Tal Ben-Nun
Torsten Hoefler
GNN
82
711
0
26 Feb 2018
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