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Bio
Her research lies at the intersection of computer vision and machine learning with specialization in domain adaptation, transfer learning, adversarial robustness, and algorithmic fairness. She has received numerous awards, including NSF CAREER, Google Research Scholar Award, Samsung AI Researcher of the Year Award, NVIDIA female leader in computer vision award, AIMiner top 100 most influential scholars in Machine Learning, MIT EECS Rising Star, and multiple best paper awards.
Research Interests
Papers共 108 篇Author StatisticsCo-AuthorSimilar Experts
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CoRR (2024)
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2023 IEEE/CVF International Conference on Computer Vision (ICCV) (2023): 16186-16196
NeurIPS (2023)
arXiv (Cornell University) (2023)
2023 IEEE/CVF International Conference on Computer Vision (ICCV) (2023): 4771-4781
Kristen Grauman,Andrew Westbury,Lorenzo Torresani,Kris Kitani,Jitendra Malik,Triantafyllos Afouras,Kumar Ashutosh, Vijay Baiyya,Siddhant Bansal, Bikram Boote,Eugene Byrne, Zach Chavis,
arxiv(2023)
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ICLR 2024 (2023)
CoRR (2023): 4599-4603
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