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AutoPEFT: Automatic Configuration Search for Parameter-Efficient Fine-Tuning


Jan 28, 2023
Han Zhou, Xingchen Wan, Ivan Vulić, Anna Korhonen

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* 16 pages, 7 figures, 7 tables 

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Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization


Oct 18, 2022
Samuel Daulton, Xingchen Wan, David Eriksson, Maximilian Balandat, Michael A. Osborne, Eytan Bakshy

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* To appear in Advances in Neural Information Processing Systems 35, 2022. Code available at: https://github.com/facebookresearch/bo_pr 

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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. Esperança, 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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BOiLS: Bayesian Optimisation for Logic Synthesis


Nov 11, 2021
Antoine Grosnit, Cedric Malherbe, Rasul Tutunov, Xingchen Wan, Jun Wang, Haitham Bou Ammar

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Approximate Neural Architecture Search via Operation Distribution Learning


Nov 08, 2021
Xingchen Wan, Binxin Ru, Pedro M. Esperança, 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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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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Think Global and Act Local: Bayesian Optimisation over High-Dimensional Categorical and Mixed Search Spaces


Feb 14, 2021
Xingchen Wan, Vu Nguyen, Huong Ha, Binxin Ru, Cong Lu, Michael A. Osborne

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

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Explaining the Adaptive Generalisation Gap


Nov 15, 2020
Diego Granziol, Samuel Albanie, Xingchen Wan, Stephen Roberts

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Neural Architecture Search using Bayesian Optimisation with Weisfeiler-Lehman Kernel


Jun 13, 2020
Binxin Ru, Xingchen Wan, Xiaowen Dong, Michael Osborne

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* 8 pages, 4 figures (21 pages, 13 figures including references and appendices) 

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