Noah Lee

Noah Lee

Machine learning researcher at MIT Lincoln Laboratory; MSCE student at Texas A&M.

Publications

You can also find my articles on my Google Scholar profile.

Conference Papers

Robust Fine-Tuning of Vision-Language Models for Domain Generalization

Published in 2023 IEEE High Performance Extreme Computing Conference (HPEC), 2023

Robust fine-tuning of vision-language foundation models for few-shot detection and domain generalization across limited-data sensing tasks.

Recommended citation: K. Vogt-Lowell*, N. Lee*, T. Tsiligkaridis, M. Vaillant. (2023). "Robust Fine-Tuning of Vision-Language Models for Domain Generalization." 2023 IEEE High Performance Extreme Computing Conference (HPEC). (* equal contribution)
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Scalable Deep Learning for Pilot Performance Analysis Using Multimodal Physiological Time Series

Published in 2023 IEEE High Performance Extreme Computing Conference (HPEC), 2023

Benchmarking TSFresh and MINIROCKET architectures for estimating pilot cognitive stress from multimodal physiological signals.

Recommended citation: N. Lee, P. W. Moore, L. J. Brattain. (2023). "Scalable Deep Learning for Pilot Performance Analysis Using Multimodal Physiological Time Series." 2023 IEEE High Performance Extreme Computing Conference (HPEC).
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