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Neural Architecture Search: Insights from 1000 Papers


Jan 25, 2023
Colin White, Mahmoud Safari, Rhea Sukthanker, Binxin Ru, Thomas Elsken, Arber Zela, Debadeepta Dey, Frank Hutter

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Towards Discovering Neural Architectures from Scratch


Nov 03, 2022
Simon Schrodi, Danny Stoll, Binxin Ru, Rhea Sukthanker, Thomas Brox, Frank Hutter

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Bayesian Generational Population-Based Training


Jul 19, 2022
Xingchen Wan, Cong Lu, Jack Parker-Holder, Philip J. Ball, Vu Nguyen, Binxin Ru, Michael A. Osborne

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* AutoML Conference 2022. 10 pages, 4 figure, 3 tables (28 pages, 10 figures, 7 tables including references and appendices) 

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On Redundancy and Diversity in Cell-based Neural Architecture Search


Mar 16, 2022
Xingchen Wan, Binxin Ru, Pedro M. Esperan├ža, Zhenguo Li

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* 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


Jan 20, 2022
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


Dec 24, 2021
Miroslav Fil, Binxin Ru, Clare Lyle, Yarin Gal

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

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Approximate Neural Architecture Search via Operation Distribution Learning


Nov 08, 2021
Xingchen Wan, Binxin Ru, Pedro M. Esperan├ža, Fabio M. Carlucci

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* 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


Nov 05, 2021
Roy Henha Eyono, Fabio Maria Carlucci, Pedro M Esperan├ža, Binxin Ru, Phillip Torr

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* 12 pages, 8 figures 

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Adversarial Attacks on Graph Classification via Bayesian Optimisation


Nov 04, 2021
Xingchen Wan, Henry Kenlay, Binxin Ru, Arno Blaas, Michael A. Osborne, Xiaowen Dong

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

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