Computational design of mixed-initiative human-robot teaming that considers human factors: situational awareness, workload, and workflow preferences. - Matthew C. Gombolay; Anna Bair; Cindy Huang; Julie A. Shah (Int. J. Robotics Res., 2017)

Robustness between the worst and average case. - Leslie Rice; Anna Bair; Huan Zhang 001; J. Zico Kolter (NeurIPS, 2021)

Leveraging Multiple Descriptive Features for Robust Few-shot Image Learning. - Zhili Feng; Anna Bair; J. Zico Kolter (CoRR, 2023)

Adaptive Sharpness-Aware Pruning for Robust Sparse Networks. - Anna Bair; Hongxu Yin; Maying Shen; Pavlo Molchanov 001; José M. Álvarez 004 (ICLR, 2024)

A Simple and Effective Pruning Approach for Large Language Models. - Mingjie Sun; Zhuang Liu 003; Anna Bair; J. Zico Kolter (ICLR, 2024)

HyperCLIP: Adapting Vision-Language models with Hypernetworks. - Victor Akinwande; Mohammad Sadegh Norouzzadeh; Devin Willmott; Anna Bair; Madan Ravi Ganesh; J. Zico Kolter (CoRR, 2024)

Text Descriptions are Compressive and Invariant Representations for Visual Learning. - Zhili Feng; Anna Bair; J. Zico Kolter (Trans. Mach. Learn. Res., 2024)