Binxin Ru

According to our database¹, Binxin Ru authored at least 21 papers between 2020 and 2023.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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On csauthors.net:

Bibliography

2023

Bayesian Quadrature for Neural Ensemble Search.

[BibT_eX]

[DOI]

CoRR, 2023

Dynamic Ensemble of Low-fidelity Experts: Mitigating NAS "Cold-Start".

[BibT_eX]

[DOI]

CoRR, 2023

Neural Architecture Search: Insights from 1000 Papers.

[BibT_eX]

[DOI]

CoRR, 2023

Bayesian Optimisation of Functions on Graphs.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Construction of Hierarchical Neural Architecture Search Spaces based on Context-free Grammars.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Dynamic Ensemble of Low-Fidelity Experts: Mitigating NAS "Cold-Start".

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

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

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2022

Towards Discovering Neural Architectures from Scratch.

[BibT_eX]

[DOI]

CoRR, 2022

Maximum Entropy Approach to Massive Graph Spectrum Learning with Applications.

[BibT_eX]

[DOI]

Algorithms, 2022

Approximate Neural Architecture Search via Operation Distribution Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

On Redundancy and Diversity in Cell-based Neural Architecture Search.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Bayesian Generational Population-Based Training.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Automated Machine Learning, 2022

Learning to Identify Top Elo Ratings: A Dueling Bandits Approach.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

DARTS without a Validation Set: Optimizing the Marginal Likelihood.

[BibT_eX]

[DOI]

CoRR, 2021

AUTOKD: Automatic Knowledge Distillation Into A Student Architecture Family.

[BibT_eX]

[DOI]

CoRR, 2021

Adversarial Attacks on Graph Classification via Bayesian Optimisation.

[BibT_eX]

[DOI]

CoRR, 2021

How Powerful are Performance Predictors in Neural Architecture Search?

[BibT_eX]

[DOI]

CoRR, 2021

2020

A Bayesian Perspective on Training Speed and Model Selection.

[BibT_eX]

[DOI]

CoRR, 2020

Revisiting the Train Loss: an Efficient Performance Estimator for Neural Architecture Search.

[BibT_eX]

[DOI]

CoRR, 2020

Neural Architecture Generator Optimization.

[BibT_eX]

[DOI]

Binxin Ru

Pedro M. Esperança

Fabio Maria Carlucci

CoRR, 2020

BayesOpt Adversarial Attack.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

Binxin Ru

Timeline

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