BANANAS: Bayesian Optimization with Neural Architectures for Neural
Architecture Search

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BANANAS: Bayesian Optimization with Neural Architectures for Neural Architecture Search

25 October 2019

Willie Neiswanger

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Papers citing "BANANAS: Bayesian Optimization with Neural Architectures for Neural Architecture Search"

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Title
Multi-fidelity Neural Architecture Search with Knowledge Distillation I. Trofimov Nikita Klyuchnikov Mikhail Salnikov Alexander N. Filippov Evgeny Burnaev 113 15 0 15 Jun 2020
Optimal Transport Kernels for Sequential and Parallel Neural Architecture Search Vu-Linh Nguyen Tam Le M. Yamada Michael A. Osborne AI4TS 109 39 0 13 Jun 2020
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? Shen Yan Yu Zheng Wei Ao Xiao Zeng Mi Zhang SSL AI4CE 112 104 0 12 Jun 2020
Hyperparameter optimization with REINFORCE and Transformers C. Krishna Ashish Gupta Swarnim Narayan Himanshu Rai Diksha Manchanda 58 2 0 01 Jun 2020
Exploring the Loss Landscape in Neural Architecture Search Colin White Sam Nolen Yash Savani 81 27 0 06 May 2020
AutoTune: Automatically Tuning Convolutional Neural Networks for Improved Transfer Learning S. H. Shabbeer Basha Sravan Kumar Vinakota Viswanath Pulabaigari Snehasis Mukherjee S. Dubey 51 41 0 25 Apr 2020
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 Chen Wei Chuang Niu Yiping Tang Yue Wang Haihong Hu Jimin Liang 65 7 0 28 Mar 2020
Flexible Multi-task Networks by Learning Parameter Allocation Krzysztof Maziarz Efi Kokiopoulou Andrea Gesmundo L. Sbaiz Gábor Bartók Jesse Berent 76 13 0 10 Oct 2019
MANAS: Multi-Agent Neural Architecture Search Vasco Lopes Fabio Maria Carlucci P. Esperança Marco Singh Victor Gabillon Antoine Yang Hang Xu Zewei Chen Jun Wang 81 23 0 03 Sep 2019
ChemBO: Bayesian Optimization of Small Organic Molecules with Synthesizable Recommendations Ksenia Korovina Sailun Xu Kirthevasan Kandasamy Willie Neiswanger Barnabás Póczós J. Schneider Eric Xing 126 123 0 05 Aug 2019
AutoML: A Survey of the State-of-the-Art Xin He Kaiyong Zhao Xiaowen Chu 196 1,480 0 02 Aug 2019
Coverage-Based Designs Improve Sample Mining and Hyper-Parameter Optimization Gowtham Muniraju B. Kailkhura Jayaraman J. Thiagarajan P. Bremer C. Tepedelenlioğlu A. Spanias 38 10 0 05 Sep 2018