About me
Hi, I’m Kaylee. I am a first-year Ph.D. student in Computer Science at University of California, San Diego. I am fortunate to be advised by Prof. Jingbo Shang Previously, I received my B.S. degree in Computer Science and Data Science at University of Wisconsin – Madison, where I worked with Prof. Fred Sala and Prof. Jelena Diakonikolas.
My research interest is efficient machine learning, especially weak supervision, AutoML, and large-scale data analysis. I am eager to come up with new ideas to help reduce the need for expensive labeled data. I am also working on broadening the scope of machine learning methods toward the long tail of diverse and under-studied application fields – far beyond well-explored domains such as vision and NLP.
News
- Sep 2023: Geometry-Aware Adaptation for Pretrained Models is accepted to NeurIPS ‘23!
- Sep 2022: AutoWS-Bench-101 is accepted to NeurIPS ‘22!
Publications
Escaping Label Subspaces via Label Geometry
Nicholas Roberts, Xintong Li, Dyah Adila, Sonia Cromp, Tzu-Heng Huang, Jitian Zhao, Frederic Sala.
Neural Information Processing Systems (NeurIPS), 2023.
[arXiv]
AutoWS-Bench-101: Benchmarking Automated Weak Supervision with 100 Labels
Nicholas Roberts*, Xintong Li*, Tzu-Heng Huang, Dyah Adila, Spencer Schoenberg, Cheng-Yu Liu, Lauren Pick, Haotian Ma, Aws Albarghouthi, Frederic Sala.
Neural Information Processing Systems (NeurIPS), 2022.
[Paper] [arXiv] [Code]