Neural Architecture Search with Bayesian Optimisation and Optimal Transport

11 February 2018

Kirthevasan Kandasamy

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

27 / 127 papers shown

Title
Neural Predictor for Neural Architecture Search W. Wen Hanxiao Liu H. Li Yiran Chen Gabriel Bender Pieter-Jan Kindermans 46 194 0 02 Dec 2019
BANANAS: Bayesian Optimization with Neural Architectures for Neural Architecture Search Colin White Willie Neiswanger Yash Savani BDL 51 314 0 25 Oct 2019
Searching for A Robust Neural Architecture in Four GPU Hours Xuanyi Dong Yezhou Yang 20 648 0 10 Oct 2019
Sub-Architecture Ensemble Pruning in Neural Architecture Search Yijun Bian Qingquan Song Mengnan Du Jun Yao Huanhuan Chen Xia Hu 17 14 0 01 Oct 2019
Towards modular and programmable architecture search Renato M. P. Negrinho Darshan Patil Nghia T. Le Daniel C. Ferreira Matthew R. Gormley Geoffrey J. Gordon 27 26 0 30 Sep 2019
Auto-GNN: Neural Architecture Search of Graph Neural Networks Kaixiong Zhou Qingquan Song Xiao Huang Xia Hu GNN 61 178 0 07 Sep 2019
AutoML: A Survey of the State-of-the-Art Xin He Kaiyong Zhao Xiaowen Chu 48 1,423 0 02 Aug 2019
High Dimensional Bayesian Optimization via Supervised Dimension Reduction Miao Zhang Huiqi Li Steven W. Su 24 44 0 21 Jul 2019
Techniques for Automated Machine Learning Yi-Wei Chen Qingquan Song Xia Hu 18 48 0 21 Jul 2019
Evolving Robust Neural Architectures to Defend from Adversarial Attacks Shashank Kotyan Danilo Vasconcellos Vargas OOD AAML 24 36 0 27 Jun 2019
Deep Bayesian Optimization on Attributed Graphs Jiaxu Cui Bo Yang Xia Hu 11 6 0 31 May 2019
AI-GAs: AI-generating algorithms, an alternate paradigm for producing general artificial intelligence Jeff Clune 17 116 0 27 May 2019
Blurring the Line Between Structure and Learning to Optimize and Adapt Receptive Fields Evan Shelhamer Dequan Wang Trevor Darrell 29 35 0 25 Apr 2019
D-VAE: A Variational Autoencoder for Directed Acyclic Graphs Muhan Zhang Shali Jiang Zhicheng Cui Roman Garnett Yixin Chen GNN BDL CML 34 198 0 24 Apr 2019
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 34 174 0 15 Mar 2019
Evaluating the Search Phase of Neural Architecture Search Kaicheng Yu C. Sciuto Martin Jaggi C. Musat Mathieu Salzmann 20 343 0 21 Feb 2019
Random Search and Reproducibility for Neural Architecture Search Liam Li Ameet Talwalkar OOD 36 718 0 20 Feb 2019
AutoQ: Automated Kernel-Wise Neural Network Quantization Qian Lou Feng Guo Lantao Liu Minje Kim Lei Jiang MQ 27 97 0 15 Feb 2019
Capacity allocation analysis of neural networks: A tool for principled architecture design Jonathan Donier 22 4 0 12 Feb 2019
Regret bounds for meta Bayesian optimization with an unknown Gaussian process prior Zi Wang Beomjoon Kim L. Kaelbling 27 54 0 23 Nov 2018
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 34 81 0 08 Oct 2018
OBOE: Collaborative Filtering for AutoML Model Selection Chengrun Yang Yuji Akimoto Dae Won Kim Madeleine Udell 21 100 0 09 Aug 2018
Auto-Keras: An Efficient Neural Architecture Search System Haifeng Jin Qingquan Song Xia Hu 40 795 0 27 Jun 2018
Resource-Efficient Neural Architect Yanqi Zhou S. Ebrahimi Sercan Ö. Arik Haonan Yu Hairong Liu G. Diamos 25 64 0 12 Jun 2018
Parallel Architecture and Hyperparameter Search via Successive Halving and Classification Manoj Kumar George E. Dahl Vijay Vasudevan Mohammad Norouzi 28 25 0 25 May 2018
Demystifying Parallel and Distributed Deep Learning: An In-Depth Concurrency Analysis Tal Ben-Nun Torsten Hoefler GNN 33 704 0 26 Feb 2018
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 274 5,331 0 05 Nov 2016