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2020 – today
- 2023
[j3]Saad Hamid, Xingchen Wan, Martin Jørgensen, Binxin Ru, Michael A. Osborne:
Bayesian Quadrature for Neural Ensemble Search. Trans. Mach. Learn. Res. 2023 (2023)- [c8]Junbo Zhao, Xuefei Ning, Enshu Liu, Binxin Ru, Zixuan Zhou, Tianchen Zhao, Chen Chen, Jiajin Zhang, Qingmin Liao, Yu Wang:
Dynamic Ensemble of Low-Fidelity Experts: Mitigating NAS "Cold-Start". AAAI 2023: 11316-11326 - [c7]Simon Schrodi, Danny Stoll, Binxin Ru, Rhea Sukthanker, Thomas Brox, Frank Hutter:
Construction of Hierarchical Neural Architecture Search Spaces based on Context-free Grammars. NeurIPS 2023 - [c6]Xingchen Wan, Pierre Osselin, Henry Kenlay, Binxin Ru, Michael A. Osborne, Xiaowen Dong:
Bayesian Optimisation of Functions on Graphs. NeurIPS 2023 - [i17]Colin White, Mahmoud Safari, Rhea Sukthanker, Binxin Ru, Thomas Elsken, Arber Zela, Debadeepta Dey, Frank Hutter:
Neural Architecture Search: Insights from 1000 Papers. CoRR abs/2301.08727 (2023) - [i16]Junbo Zhao, Xuefei Ning, Enshu Liu, Binxin Ru, Zixuan Zhou, Tianchen Zhao, Chen Chen, Jiajin Zhang, Qingmin Liao, Yu Wang:
Dynamic Ensemble of Low-fidelity Experts: Mitigating NAS "Cold-Start". CoRR abs/2302.00932 (2023) - [i15]Saad Hamid, Xingchen Wan, Martin Jørgensen, Binxin Ru, Michael A. Osborne:
Bayesian Quadrature for Neural Ensemble Search. CoRR abs/2303.08874 (2023) - [i14]Xingchen Wan, Pierre Osselin, Henry Kenlay, Binxin Ru, Michael A. Osborne, Xiaowen Dong:
Bayesian Optimisation of Functions on Graphs. CoRR abs/2306.05304 (2023) - 2022
- [j2]Diego Granziol
, Binxin Ru, Xiaowen Dong, Stefan Zohren, Michael A. Osborne, Stephen J. Roberts:
Maximum Entropy Approach to Massive Graph Spectrum Learning with Applications. Algorithms 15(6): 209 (2022) - [j1]Kaichen Zhou, Lanqing Hong, Shoukang Hu, Fengwei Zhou, Binxin Ru, Jiashi Feng, Zhenguo Li:
DHA: End-to-End Joint Optimization of Data Augmentation Policy, Hyper-parameter and Architecture. Trans. Mach. Learn. Res. 2022 (2022) - [c5]Xue Yan, Yali Du, Binxin Ru, Jun Wang, Haifeng Zhang, Xu Chen:
Learning to Identify Top Elo Ratings: A Dueling Bandits Approach. AAAI 2022: 8797-8805 - [c4]Xingchen Wan, Cong Lu, Jack Parker-Holder, Philip J. Ball, Vu Nguyen, Binxin Ru, Michael A. Osborne:
Bayesian Generational Population-Based Training. AutoML 2022: 14/1-27 - [c3]Xingchen Wan, Binxin Ru, Pedro M. Esperança, Zhenguo Li:
On Redundancy and Diversity in Cell-based Neural Architecture Search. ICLR 2022 - [c2]Xingchen Wan, Binxin Ru, Pedro M. Esperança, Fabio Maria Carlucci:
Approximate Neural Architecture Search via Operation Distribution Learning. WACV 2022: 3545-3554 - [i13]Xue Yan, Yali Du, Binxin Ru, Jun Wang, Haifeng Zhang, Xu Chen:
Learning to Identify Top Elo Ratings: A Dueling Bandits Approach. CoRR abs/2201.04480 (2022) - [i12]Xingchen Wan, Binxin Ru, Pedro M. Esperança, Zhenguo Li:
On Redundancy and Diversity in Cell-based Neural Architecture Search. CoRR abs/2203.08887 (2022) - [i11]Xingchen Wan, Cong Lu, Jack Parker-Holder, Philip J. Ball, Vu Nguyen, Binxin Ru, Michael A. Osborne:
Bayesian Generational Population-Based Training. CoRR abs/2207.09405 (2022) - [i10]Simon Schrodi, Danny Stoll, Binxin Ru, Rhea Sukthanker, Thomas Brox, Frank Hutter:
Towards Discovering Neural Architectures from Scratch. CoRR abs/2211.01842 (2022) - 2021
- [i9]Colin White, Arber Zela, Binxin Ru, Yang Liu, Frank Hutter:
How Powerful are Performance Predictors in Neural Architecture Search? CoRR abs/2104.01177 (2021) - [i8]Kaichen Zhou, Lanqing Hong, Shoukang Hu, Fengwei Zhou, Binxin Ru, Jiashi Feng, Zhenguo Li:
DHA: End-to-End Joint Optimization of Data Augmentation Policy, Hyper-parameter and Architecture. CoRR abs/2109.05765 (2021) - [i7]Xingchen Wan, Henry Kenlay, Binxin Ru, Arno Blaas, Michael A. Osborne, Xiaowen Dong:
Adversarial Attacks on Graph Classification via Bayesian Optimisation. CoRR abs/2111.02842 (2021) - [i6]Roy Henha Eyono, Fabio Maria Carlucci, Pedro M. Esperança, Binxin Ru, Philip H. S. Torr:
AUTOKD: Automatic Knowledge Distillation Into A Student Architecture Family. CoRR abs/2111.03555 (2021) - [i5]Xingchen Wan, Binxin Ru, Pedro M. Esperança, Fabio Maria Carlucci:
Approximate Neural Architecture Search via Operation Distribution Learning. CoRR abs/2111.04670 (2021) - [i4]Miroslav Fil, Binxin Ru, Clare Lyle, Yarin Gal:
DARTS without a Validation Set: Optimizing the Marginal Likelihood. CoRR abs/2112.13023 (2021) - 2020
- [c1]Binxin Ru, Adam D. Cobb, Arno Blaas, Yarin Gal:
BayesOpt Adversarial Attack. ICLR 2020 - [i3]Binxin Ru, Pedro M. Esperança, Fabio Maria Carlucci:
Neural Architecture Generator Optimization. CoRR abs/2004.01395 (2020) - [i2]Binxin Ru, Clare Lyle, Lisa Schut, Mark van der Wilk, Yarin Gal:
Revisiting the Train Loss: an Efficient Performance Estimator for Neural Architecture Search. CoRR abs/2006.04492 (2020) - [i1]Clare Lyle, Lisa Schut, Binxin Ru, Yarin Gal, Mark van der Wilk:
A Bayesian Perspective on Training Speed and Model Selection. CoRR abs/2010.14499 (2020)
Coauthor Index
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