Liam Li
6 papers · 2019–2023 · 5 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Silver
🗺️
Taxonomy Completionist
(21)
🐣
Hot Topic Early Bird
🚀
Conference Pioneer
Top co-authors
Research topics
Machine Learning
(6)
Artificial Intelligence
(4)
Deep Learning
(4)
Learning Types · Machine Learning
(4)
Application Areas
(3)
Learning Paradigms · Artificial Intelligence
(3)
Learning Types · Deep Learning
(3)
Optimization & Theory
(3)
Learning Paradigms · Machine Learning
(2)
Techniques
(2)
Architectures
(1)
Core AI
(1)
Core Methods
(1)
Keywords
neural architecture search
(4)
transfer learning
(3)
weight sharing
(3)
federated learning
(2)
hyperparameter optimization
(2)
neural operation
(1)
multimodal learning
(1)
cross-modal learning
(1)
few-shot learning
(1)
empirical risk minimization
(1)
gradient descent
(1)
algorithmic stability
(1)
mirror descent
(1)
active learning
(1)
random search
(1)
partial differential equation
(1)
pre-trained model
(1)
protein folding
(1)
federated optimization
(1)
embedding network
(1)
Papers
Cross-Modal Fine-Tuning: Align then Refine
ICML 2023
Federated Hyperparameter Tuning: Challenges, Baselines, and Connections to Weight-Sharing
NeurIPS 2021
Geometry-Aware Gradient Algorithms for Neural Architecture Search
ICLR 2021
On Data Efficiency of Meta-learning
AISTATS 2021
Rethinking Neural Operations for Diverse Tasks
NeurIPS 2021
Random Search and Reproducibility for Neural Architecture Search
UAI 2019