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On Redundancy and Diversity in Cell-based Neural Architecture Search



Xingchen Wan , Binxin Ru , Pedro M. Esperan├ža , Zhenguo Li

* ICLR 2022. 10 pages, 10 figures, 2 tables (25 pages, 34 figures, 3 tables including references and appendices) 

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Learning to Identify Top Elo Ratings: A Dueling Bandits Approach



Xue Yan , Yali Du , Binxin Ru , Jun Wang , Haifeng Zhang , Xu Chen


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DARTS without a Validation Set: Optimizing the Marginal Likelihood



Miroslav Fil , Binxin Ru , Clare Lyle , Yarin Gal

* Presented at the 5th Workshop on Meta-Learning at NeurIPS 2021 

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Approximate Neural Architecture Search via Operation Distribution Learning



Xingchen Wan , Binxin Ru , Pedro M. Esperan├ža , Fabio M. Carlucci

* WACV 2022. 10 pages, 3 figures and 5 tables (15 pages, 7 figures and 6 tables including appendices) 

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AUTOKD: Automatic Knowledge Distillation Into A Student Architecture Family



Roy Henha Eyono , Fabio Maria Carlucci , Pedro M Esperan├ža , Binxin Ru , Phillip Torr

* 12 pages, 8 figures 

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Adversarial Attacks on Graph Classification via Bayesian Optimisation



Xingchen Wan , Henry Kenlay , Binxin Ru , Arno Blaas , Michael A. Osborne , Xiaowen Dong

* NeurIPS 2021. 11 pages, 8 figures, 2 tables (24 pages, 17 figures, 8 tables including references and appendices) 

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DHA: End-to-End Joint Optimization of Data Augmentation Policy, Hyper-parameter and Architecture



Kaichen Zhou , Lanqing Hong , Shoukang Hu , Fengwei Zhou , Binxin Ru , Jiashi Feng , Zhenguo Li


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How Powerful are Performance Predictors in Neural Architecture Search?



Colin White , Arber Zela , Binxin Ru , Yang Liu , Frank Hutter


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Think Global and Act Local: Bayesian Optimisation over High-Dimensional Categorical and Mixed Search Spaces



Xingchen Wan , Vu Nguyen , Huong Ha , Binxin Ru , Cong Lu , Michael A. Osborne

* 9 page, 6 figures (26 pages, 13 figures, 2 tables including references and appendices) 

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