Liam Li

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

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2023

Cross-Modal Fine-Tuning: Align then Refine.

Junhong Shen, Liam Li, Lucio M. Dery, Corey Staten, Mikhail Khodak, Graham Neubig, Ameet Talwalkar

Proceedings of the International Conference on Machine Learning, 2023

2021

Towards Efficient Automated Machine Learning.

Liam Li

PhD thesis, 2021

Rethinking Neural Operations for Diverse Tasks.

Nicholas Roberts, Mikhail Khodak, Tri Dao, Liam Li, Christopher Ré, Ameet Talwalkar

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.

Mikhail Khodak, Renbo Tu, Tian Li, Liam Li, Maria-Florina Balcan, Virginia Smith, Ameet Talwalkar

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.

Liam Li, Mikhail Khodak, Nina Balcan, Ameet Talwalkar

Proceedings of the 9th International Conference on Learning Representations, 2021

On Data Efficiency of Meta-learning.

Maruan Al-Shedivat, Liam Li, Eric P. Xing, Ameet Talwalkar

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

A System for Massively Parallel Hyperparameter Tuning.

Liam Li, Kevin G. Jamieson, Afshin Rostamizadeh, Ekaterina Gonina, Jonathan Ben-tzur, Moritz Hardt, Benjamin Recht, Ameet Talwalkar

Proceedings of the Third Conference on Machine Learning and Systems, 2020

2019

Exploiting Reuse in Pipeline-Aware Hyperparameter Tuning.

Liam Li, Evan Randall Sparks, Kevin G. Jamieson, Ameet Talwalkar

CoRR, 2019

Random Search and Reproducibility for Neural Architecture Search.

Liam Li, Ameet Talwalkar

Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

2018

Massively Parallel Hyperparameter Tuning.

Liam Li, Kevin G. Jamieson, Afshin Rostamizadeh, Ekaterina Gonina, Moritz Hardt, Benjamin Recht, Ameet Talwalkar

CoRR, 2018