Kelsey Lieberman

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 5

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Publications

Kelsey Lieberman, Shuai Yuan, Swarna Kamlam Ravindran, Carlo Tomasi
Optimizing for ROC Curves on Class-Imbalanced Data by Training over a Family of Loss Functions. CoRR (2024)
Junyuan Hong, Jinhao Duan, Chenhui Zhang, Zhangheng Li, Chulin Xie, Kelsey Lieberman, James Diffenderfer, Brian R. Bartoldson, Ajay Jaiswal, Kaidi Xu, Bhavya Kailkhura, Dan Hendrycks, Dawn Song, Zhangyang Wang, Bo Li
Decoding Compressed Trust: Scrutinizing the Trustworthiness of Efficient LLMs Under Compression. CoRR (2024)
Kelsey Lieberman, James Diffenderfer, Charles Godfrey, Bhavya Kailkhura
Neural Image Compression: Generalization, Robustness, and Spectral Biases. CoRR (2023)
Kelsey Lieberman, James Diffenderfer, Charles Godfrey, Bhavya Kailkhura
Neural Image Compression: Generalization, Robustness, and Spectral Biases. NeurIPS (2023)
Zhuoshu Li, Kelsey Lieberman, William Macke, Sofia Carrillo, Chien-Ju Ho, Jason Wellen, Sanmay Das
Incorporating Compatible Pairs in Kidney Exchange: A Dynamic Weighted Matching Model. EC (2019)