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Liam Li
Publication Activity (10 Years)
Years Active: 2018-2023
Publications (10 Years): 15
Top Topics
Parameter Optimization
Rule Selection
Random Search
Neural Architecture
Top Venues
CoRR
NeurIPS
AISTATS
ICLR
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Publications
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Junhong Shen
,
Liam Li
,
Lucio M. Dery
,
Corey Staten
,
Mikhail Khodak
,
Graham Neubig
,
Ameet Talwalkar
Cross-Modal Fine-Tuning: Align then Refine.
ICML
(2023)
Junhong Shen
,
Liam Li
,
Lucio M. Dery
,
Corey Staten
,
Mikhail Khodak
,
Graham Neubig
,
Ameet Talwalkar
Cross-Modal Fine-Tuning: Align then Refine.
CoRR
(2023)
Maruan Al-Shedivat
,
Liam Li
,
Eric Po Xing
,
Ameet Talwalkar
On Data Efficiency of Meta-learning.
CoRR
(2021)
Mikhail Khodak
,
Renbo Tu
,
Tian Li
,
Liam Li
,
Maria-Florina Balcan
,
Virginia Smith
,
Ameet Talwalkar
Federated Hyperparameter Tuning: Challenges, Baselines, and Connections to Weight-Sharing.
NeurIPS
(2021)
Liam Li
,
Mikhail Khodak
,
Nina Balcan
,
Ameet Talwalkar
Geometry-Aware Gradient Algorithms for Neural Architecture Search.
ICLR
(2021)
Nicholas Roberts
,
Mikhail Khodak
,
Tri Dao
,
Liam Li
,
Christopher Ré
,
Ameet Talwalkar
Rethinking Neural Operations for Diverse Tasks.
CoRR
(2021)
Nicholas Roberts
,
Mikhail Khodak
,
Tri Dao
,
Liam Li
,
Christopher Ré
,
Ameet Talwalkar
Rethinking Neural Operations for Diverse Tasks.
NeurIPS
(2021)
Mikhail Khodak
,
Renbo Tu
,
Tian Li
,
Liam Li
,
Maria-Florina Balcan
,
Virginia Smith
,
Ameet Talwalkar
Federated Hyperparameter Tuning: Challenges, Baselines, and Connections to Weight-Sharing.
CoRR
(2021)
Maruan Al-Shedivat
,
Liam Li
,
Eric P. Xing
,
Ameet Talwalkar
On Data Efficiency of Meta-learning.
AISTATS
(2021)
Liam Li
,
Mikhail Khodak
,
Maria-Florina Balcan
,
Ameet Talwalkar
Geometry-Aware Gradient Algorithms for Neural Architecture Search.
CoRR
(2020)
Liam Li
,
Kevin G. Jamieson
,
Afshin Rostamizadeh
,
Ekaterina Gonina
,
Jonathan Ben-tzur
,
Moritz Hardt
,
Benjamin Recht
,
Ameet Talwalkar
A System for Massively Parallel Hyperparameter Tuning.
MLSys
(2020)
Liam Li
,
Evan R. Sparks
,
Kevin G. Jamieson
,
Ameet Talwalkar
Exploiting Reuse in Pipeline-Aware Hyperparameter Tuning.
CoRR
(2019)
Liam Li
,
Ameet Talwalkar
Random Search and Reproducibility for Neural Architecture Search.
CoRR
(2019)
Liam Li
,
Ameet Talwalkar
Random Search and Reproducibility for Neural Architecture Search.
UAI
(2019)
Liam Li
,
Kevin G. Jamieson
,
Afshin Rostamizadeh
,
Ekaterina Gonina
,
Moritz Hardt
,
Benjamin Recht
,
Ameet Talwalkar
Massively Parallel Hyperparameter Tuning.
CoRR
(2018)