Interpretable Neural Architecture Search via Bayesian Optimisation with Weisfeiler-Lehman Kernels

13 June 2020

Xingchen Wan

Papers citing "Interpretable Neural Architecture Search via Bayesian Optimisation with Weisfeiler-Lehman Kernels"

44 / 44 papers shown

Title
NAS-Bench-201: Extending the Scope of Reproducible Neural Architecture Search Xuanyi Dong Yi Yang 126 703 0 02 Jan 2020
NAS evaluation is frustratingly hard Antoine Yang P. Esperança Fabio Maria Carlucci 49 167 0 28 Dec 2019
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 57 31 0 21 Nov 2019
BANANAS: Bayesian Optimization with Neural Architectures for Neural Architecture Search Colin White Willie Neiswanger Yash Savani BDL 81 317 0 25 Oct 2019
Deep Neural Architecture Search with Deep Graph Bayesian Optimization Lizheng Ma Jiaxu Cui Bo Yang AI4CE BDL 32 49 0 14 May 2019
Graph Kernels: A Survey Giannis Nikolentzos Giannis Siglidis Michalis Vazirgiannis 103 123 0 27 Apr 2019
Exploring Randomly Wired Neural Networks for Image Recognition Saining Xie Alexander Kirillov Ross B. Girshick Kaiming He 59 365 0 02 Apr 2019
A Survey on Graph Kernels Nils M. Kriege Fredrik D. Johansson Christopher Morris 116 416 0 28 Mar 2019
Topological Bayesian Optimization with Persistence Diagrams T. Shiraishi Tam Le H. Kashima M. Yamada 25 2 0 26 Feb 2019
NAS-Bench-101: Towards Reproducible Neural Architecture Search Chris Ying Aaron Klein Esteban Real Eric Christiansen Kevin Patrick Murphy Frank Hutter 48 678 0 25 Feb 2019
Combinatorial Bayesian Optimization using the Graph Cartesian Product Changyong Oh Jakub M. Tomczak E. Gavves Max Welling 37 106 0 01 Feb 2019
Asynchronous Batch Bayesian Optimisation with Improved Local Penalisation A. Alvi Binxin Ru Jan-Peter Calliess Stephen J. Roberts Michael A. Osborne 36 44 0 29 Jan 2019
SNAS: Stochastic Neural Architecture Search Sirui Xie Hehui Zheng Chunxiao Liu Liang Lin 65 932 0 24 Dec 2018
Bayesian Optimization in AlphaGo Yutian Chen Aja Huang Ziyun Wang Ioannis Antonoglou Julian Schrittwieser David Silver Nando de Freitas BDL 44 113 0 17 Dec 2018
Regret bounds for meta Bayesian optimization with an unknown Gaussian process prior Zi Wang Beomjoon Kim L. Kaelbling 51 54 0 23 Nov 2018
A Simple Baseline Algorithm for Graph Classification Nathan de Lara Edouard Pineau 39 60 0 22 Oct 2018
Graph HyperNetworks for Neural Architecture Search Chris Zhang Mengye Ren R. Urtasun GNN 38 276 0 12 Oct 2018
Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks Christopher Morris Martin Ritzert Matthias Fey William L. Hamilton J. E. Lenssen Gaurav Rattan Martin Grohe GNN 136 1,625 0 04 Oct 2018
How Powerful are Graph Neural Networks? Keyulu Xu Weihua Hu J. Leskovec Stefanie Jegelka GNN 175 7,554 0 01 Oct 2018
Neural Architecture Optimization Renqian Luo Fei Tian Tao Qin Enhong Chen Tie-Yan Liu 3DV 62 651 0 22 Aug 2018
BOHB: Robust and Efficient Hyperparameter Optimization at Scale Stefan Falkner Aaron Klein Frank Hutter BDL 160 1,077 0 04 Jul 2018
Auto-Keras: An Efficient Neural Architecture Search System Haifeng Jin Qingquan Song Xia Hu 69 799 0 27 Jun 2018
DARTS: Differentiable Architecture Search Hanxiao Liu Karen Simonyan Yiming Yang 170 4,326 0 24 Jun 2018
A Flexible Framework for Multi-Objective Bayesian Optimization using Random Scalarizations Biswajit Paria Kirthevasan Kandasamy Barnabás Póczós 92 126 0 30 May 2018
Graph Bayesian Optimization: Algorithms, Evaluations and Applications Jiaxu Cui Bo Yang 21 6 0 03 May 2018
Neural Architecture Search with Bayesian Optimisation and Optimal Transport Kirthevasan Kandasamy Willie Neiswanger J. Schneider Barnabás Póczós Eric Xing 64 603 0 11 Feb 2018
Efficient Neural Architecture Search via Parameter Sharing Hieu H. Pham M. Guan Barret Zoph Quoc V. Le J. Dean 81 2,761 0 09 Feb 2018
Regularized Evolution for Image Classifier Architecture Search Esteban Real A. Aggarwal Yanping Huang Quoc V. Le 130 3,021 0 05 Feb 2018
Progressive Neural Architecture Search Chenxi Liu Barret Zoph Maxim Neumann Jonathon Shlens Wei Hua Li Li Li Fei-Fei Alan Yuille Jonathan Huang Kevin Patrick Murphy 77 1,986 0 02 Dec 2017
Learning Transferable Architectures for Scalable Image Recognition Barret Zoph Vijay Vasudevan Jonathon Shlens Quoc V. Le 146 5,577 0 21 Jul 2017
Parallel and Distributed Thompson Sampling for Large-scale Accelerated Exploration of Chemical Space José Miguel Hernández-Lobato James Requeima Edward O. Pyzer-Knapp Alán Aspuru-Guzik 56 181 0 06 Jun 2017
Understanding Black-box Predictions via Influence Functions Pang Wei Koh Percy Liang TDI 142 2,854 0 14 Mar 2017
Large-Scale Evolution of Image Classifiers Esteban Real Sherry Moore Andrew Selle Saurabh Saxena Y. Suematsu Jie Tan Quoc V. Le Alexey Kurakin 96 1,631 0 03 Mar 2017
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 389 5,362 0 05 Nov 2016
Warm Starting Bayesian Optimization Matthias Poloczek Jialei Wang P. Frazier 56 61 0 11 Aug 2016
On Valid Optimal Assignment Kernels and Applications to Graph Classification Nils M. Kriege Pierre-Louis Giscard Richard C. Wilson 73 213 0 03 Jun 2016
Fast Bayesian Optimization of Machine Learning Hyperparameters on Large Datasets Aaron Klein Stefan Falkner Simon Bartels Philipp Hennig Frank Hutter AI4CE 62 547 0 23 May 2016
The Multiscale Laplacian Graph Kernel Risi Kondor Horace Pan 52 175 0 20 Mar 2016
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 598 16,828 0 16 Feb 2016
Predictive Entropy Search for Multi-objective Bayesian Optimization Daniel Hernández-Lobato José Miguel Hernández-Lobato Amar Shah Ryan P. Adams 101 186 0 17 Nov 2015
Batch Bayesian Optimization via Local Penalization Javier I. González Zhenwen Dai Philipp Hennig Neil D. Lawrence 65 353 0 29 May 2015
Practical Bayesian Optimization of Machine Learning Algorithms Jasper Snoek Hugo Larochelle Ryan P. Adams 292 7,883 0 13 Jun 2012
A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning E. Brochu Vlad M. Cora Nando de Freitas GP 116 2,437 0 12 Dec 2010
Gaussian Process Optimization in the Bandit Setting: No Regret and Experimental Design Niranjan Srinivas Andreas Krause Sham Kakade Matthias Seeger 134 1,616 0 21 Dec 2009