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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
Simple and Scalable Parallelized Bayesian Optimization
Simple and Scalable Parallelized Bayesian Optimization
Masahiro Nomura
26
1
0
24 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
93
48
0
18 Jun 2020
Neural Architecture Optimization with Graph VAE
Neural Architecture Optimization with Graph VAE
Jian Li
Yong Liu
Jiankun Liu
Weiping Wang
GNN
68
17
0
18 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
105
15
0
15 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
102
39
0
13 Jun 2020
Interpretable Neural Architecture Search via Bayesian Optimisation with
  Weisfeiler-Lehman Kernels
Interpretable Neural Architecture Search via Bayesian Optimisation with Weisfeiler-Lehman Kernels
Binxin Ru
Xingchen Wan
Xiaowen Dong
Michael A. Osborne
86
22
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
SSLAI4CE
107
104
0
12 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
111
136
0
09 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
100
37
0
08 Jun 2020
AutoPrivacy: Automated Layer-wise Parameter Selection for Secure Neural
  Network Inference
AutoPrivacy: Automated Layer-wise Parameter Selection for Secure Neural Network Inference
Qian Lou
B. Song
Lei Jiang
71
36
0
07 Jun 2020
Conditional Neural Architecture Search
Conditional Neural Architecture Search
Sheng-Chun Kao
Arun Ramamurthy
Reed Williams
T. Krishna
28
0
0
06 Jun 2020
Latent Domain Learning with Dynamic Residual Adapters
Latent Domain Learning with Dynamic Residual Adapters
Lucas Deecke
Timothy M. Hospedales
Hakan Bilen
43
8
0
01 Jun 2020
Hyperparameter optimization with REINFORCE and Transformers
Hyperparameter optimization with REINFORCE and Transformers
C. Krishna
Ashish Gupta
Swarnim Narayan
Himanshu Rai
Diksha Manchanda
50
2
0
01 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
145
684
0
01 Jun 2020
Semi-supervised Embedding Learning for High-dimensional Bayesian
  Optimization
Semi-supervised Embedding Learning for High-dimensional Bayesian Optimization
Jingfan Chen
Guanghui Zhu
Chun Yuan
Yihua Huang
117
15
0
29 May 2020
Synthetic Petri Dish: A Novel Surrogate Model for Rapid Architecture
  Search
Synthetic Petri Dish: A Novel Surrogate Model for Rapid Architecture Search
Aditya Rawal
Joel Lehman
F. Such
Jeff Clune
Kenneth O. Stanley
AI4CE
66
6
0
27 May 2020
An Introduction to Neural Architecture Search for Convolutional Networks
An Introduction to Neural Architecture Search for Convolutional Networks
George Kyriakides
K. Margaritis
AI4CE
87
27
0
22 May 2020
Exploring the Loss Landscape in Neural Architecture Search
Exploring the Loss Landscape in Neural Architecture Search
Colin White
Sam Nolen
Yash Savani
72
27
0
06 May 2020
Stage-Wise Neural Architecture Search
Stage-Wise Neural Architecture Search
Artur Jordão
Fernando Akio
M. Lie
William Robson Schwartz
29
0
0
23 Apr 2020
GEVO: GPU Code Optimization using Evolutionary Computation
GEVO: GPU Code Optimization using Evolutionary Computation
Jhe-Yu Liou
Xiaodong Wang
Stephanie Forrest
Carole-Jean Wu
71
2
0
17 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
110
103
0
04 Apr 2020
Neural Architecture Generator Optimization
Neural Architecture Generator Optimization
Binxin Ru
P. Esperança
Fabio Maria Carlucci
86
40
0
03 Apr 2020
NPENAS: Neural Predictor Guided Evolution for Neural Architecture Search
NPENAS: Neural Predictor Guided Evolution for Neural Architecture Search
Chen Wei
Chuang Niu
Yiping Tang
Yue Wang
Haihong Hu
Jimin Liang
65
7
0
28 Mar 2020
Deep-n-Cheap: An Automated Search Framework for Low Complexity Deep
  Learning
Deep-n-Cheap: An Automated Search Framework for Low Complexity Deep Learning
Sourya Dey
Saikrishna C. Kanala
K. Chugg
Peter A. Beerel
20
4
0
27 Mar 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
75
35
0
09 Mar 2020
Real-time Federated Evolutionary Neural Architecture Search
Real-time Federated Evolutionary Neural Architecture Search
Hangyu Zhu
Yaochu Jin
FedML
202
73
0
04 Mar 2020
DSNAS: Direct Neural Architecture Search without Parameter Retraining
DSNAS: Direct Neural Architecture Search without Parameter Retraining
Shou-Yong Hu
Sirui Xie
Hehui Zheng
Chunxiao Liu
Jianping Shi
Xunying Liu
Dahua Lin
65
133
0
21 Feb 2020
Machine Learning in Python: Main developments and technology trends in
  data science, machine learning, and artificial intelligence
Machine Learning in Python: Main developments and technology trends in data science, machine learning, and artificial intelligence
S. Raschka
Joshua Patterson
Corey J. Nolet
AI4CE
113
505
0
12 Feb 2020
Search for Better Students to Learn Distilled Knowledge
Search for Better Students to Learn Distilled Knowledge
Jindong Gu
Volker Tresp
52
19
0
30 Jan 2020
RC-DARTS: Resource Constrained Differentiable Architecture Search
RC-DARTS: Resource Constrained Differentiable Architecture Search
Xiaojie Jin
Jiang Wang
Joshua Slocum
Ming-Hsuan Yang
Shengyang Dai
Shuicheng Yan
Jiashi Feng
60
31
0
30 Dec 2019
A Variational-Sequential Graph Autoencoder for Neural Architecture
  Performance Prediction
A Variational-Sequential Graph Autoencoder for Neural Architecture Performance Prediction
David Friede
Jovita Lukasik
Heiner Stuckenschmidt
Margret Keuper
GNNBDLDRL
27
8
0
11 Dec 2019
Multi-Objective Evolutionary Design of Deep Convolutional Neural
  Networks for Image Classification
Multi-Objective Evolutionary Design of Deep Convolutional Neural Networks for Image Classification
Zhichao Lu
Ian Whalen
Yashesh D. Dhebar
Kalyanmoy Deb
E. Goodman
W. Banzhaf
Vishnu Boddeti
70
11
0
03 Dec 2019
Neural Predictor for Neural Architecture Search
Neural Predictor for Neural Architecture Search
W. Wen
Hanxiao Liu
H. Li
Yiran Chen
Gabriel Bender
Pieter-Jan Kindermans
101
200
0
02 Dec 2019
ExperienceThinking: Constrained Hyperparameter Optimization based on
  Knowledge and Pruning
ExperienceThinking: Constrained Hyperparameter Optimization based on Knowledge and Pruning
Chunnan Wang
Hongzhi Wang
Chang Zhou
Hanxiao Chen
16
8
0
02 Dec 2019
Measuring Uncertainty through Bayesian Learning of Deep Neural Network
  Structure
Measuring Uncertainty through Bayesian Learning of Deep Neural Network Structure
Zhijie Deng
Yucen Luo
Jun Zhu
Bo Zhang
UQCVBDL
36
2
0
22 Nov 2019
Bridging the Gap between Sample-based and One-shot Neural Architecture
  Search with BONAS
Bridging the Gap between Sample-based and One-shot Neural Architecture Search with BONAS
Han Shi
Renjie Pi
Hang Xu
Zhenguo Li
James T. Kwok
Tong Zhang
86
32
0
21 Nov 2019
BANANAS: Bayesian Optimization with Neural Architectures for Neural
  Architecture Search
BANANAS: Bayesian Optimization with Neural Architectures for Neural Architecture Search
Colin White
Willie Neiswanger
Yash Savani
BDL
126
329
0
25 Oct 2019
NASIB: Neural Architecture Search withIn Budget
NASIB: Neural Architecture Search withIn Budget
Abhishek Singh
Anubhav Garg
Jinan Zhou
S. Dubey
Debo Dutta
26
2
0
19 Oct 2019
Searching for A Robust Neural Architecture in Four GPU Hours
Searching for A Robust Neural Architecture in Four GPU Hours
Xuanyi Dong
Yezhou Yang
173
656
0
10 Oct 2019
Sub-Architecture Ensemble Pruning in Neural Architecture Search
Sub-Architecture Ensemble Pruning in Neural Architecture Search
Yijun Bian
Qingquan Song
Mengnan Du
Jun Yao
Huanhuan Chen
Helen Zhou
57
15
0
01 Oct 2019
Towards modular and programmable architecture search
Towards modular and programmable architecture search
Renato M. P. Negrinho
Darshan Patil
Nghia T. Le
Daniel C. Ferreira
Matthew R. Gormley
Geoffrey J. Gordon
62
26
0
30 Sep 2019
Compiler-Level Matrix Multiplication Optimization for Deep Learning
Compiler-Level Matrix Multiplication Optimization for Deep Learning
Huaqing Zhang
Xiaolin Cheng
H. Zang
Dae Hoon Park
20
8
0
23 Sep 2019
Genetic Neural Architecture Search for automatic assessment of human
  sperm images
Genetic Neural Architecture Search for automatic assessment of human sperm images
Erfan Miahi
Seyed Abolghasem Mirroshandel
Alexis Nasr
70
29
0
20 Sep 2019
Auto-GNN: Neural Architecture Search of Graph Neural Networks
Auto-GNN: Neural Architecture Search of Graph Neural Networks
Kaixiong Zhou
Qingquan Song
Xiao Huang
Helen Zhou
GNN
128
186
0
07 Sep 2019
Rethinking the Number of Channels for the Convolutional Neural Network
Rethinking the Number of Channels for the Convolutional Neural Network
Hui Zhu
Zhulin An
Chuanguang Yang
Xiaolong Hu
Kaiqiang Xu
Yongjun Xu
OOD
36
3
0
04 Sep 2019
Scalable Reinforcement-Learning-Based Neural Architecture Search for
  Cancer Deep Learning Research
Scalable Reinforcement-Learning-Based Neural Architecture Search for Cancer Deep Learning Research
Prasanna Balaprakash
Romain Egele
Misha Salim
Stefan M. Wild
V. Vishwanath
Fangfang Xia
Thomas Brettin
Rick L. Stevens
68
54
0
01 Sep 2019
Neural Architecture Search by Estimation of Network Structure
  Distributions
Neural Architecture Search by Estimation of Network Structure Distributions
A. Muravev
Jenni Raitoharju
Moncef Gabbouj
OOD
20
1
0
19 Aug 2019
ChemBO: Bayesian Optimization of Small Organic Molecules with
  Synthesizable Recommendations
ChemBO: Bayesian Optimization of Small Organic Molecules with Synthesizable Recommendations
Ksenia Korovina
Sailun Xu
Kirthevasan Kandasamy
Willie Neiswanger
Barnabás Póczós
J. Schneider
Eric Xing
114
123
0
05 Aug 2019
AutoML: A Survey of the State-of-the-Art
AutoML: A Survey of the State-of-the-Art
Xin He
Kaiyong Zhao
Xiaowen Chu
165
1,478
0
02 Aug 2019
Ablate, Variate, and Contemplate: Visual Analytics for Discovering
  Neural Architectures
Ablate, Variate, and Contemplate: Visual Analytics for Discovering Neural Architectures
Dylan Cashman
Adam Perer
Remco Chang
Hendrik Strobelt
KELM
64
29
0
30 Jul 2019
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