Liam Li

According to our database1, Liam Li authored at least 10 papers between 2018 and 2023.

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Bibliography

2023
Cross-Modal Fine-Tuning: Align then Refine.
Proceedings of the International Conference on Machine Learning, 2023

2021
Towards Efficient Automated Machine Learning.
PhD thesis, 2021

Rethinking Neural Operations for Diverse Tasks.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Federated Hyperparameter Tuning: Challenges, Baselines, and Connections to Weight-Sharing.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Geometry-Aware Gradient Algorithms for Neural Architecture Search.
Proceedings of the 9th International Conference on Learning Representations, 2021

On Data Efficiency of Meta-learning.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020
A System for Massively Parallel Hyperparameter Tuning.
Proceedings of Machine Learning and Systems 2020, 2020

2019
Exploiting Reuse in Pipeline-Aware Hyperparameter Tuning.
CoRR, 2019

Random Search and Reproducibility for Neural Architecture Search.
Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

2018
Massively Parallel Hyperparameter Tuning.
CoRR, 2018


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