STANFORD MACHINE INTELLIGENCE LAB
Decoding
Intelligence
We build the mathematical bridges between deep learning and human understanding. Focusing on interpretability, efficiency, and neural search.
40%
Reduction in compute overhead via our new NAS protocols.
5+
Low-resource languages supported by our transfer learning models.
Latest Transmissions
Selected Publications
01
Neural Architecture Search for Efficiency
Nature Machine Intelligence, 2024
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02
Interpretability in Large Language Models
ACM Computing Surveys, 2023
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03
Transfer Learning for Low-Resource NLP
Proceedings of ACL, 2023
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Current Teaching
CS 6780
Active
Advanced Machine Learning
CS 7880
Seminar
NLP Research Seminar
Office Hours
Tuesdays
2:00 PM — 4:00 PM