基本信息
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职业迁徙
个人简介
My broad research interests are in deep learning and machine learning. My time in both academia and industry has shaped my view and approach in research. The goal of my research is to enable transformative algorithms and practices towards reliable open-world learning, which can function safely and adaptively in the presence of evolving and unpredictable data stream. Our works explore, understand, and mitigate the many challenges where failure modes can naturally occur in deploying machine learning models in the open world. Research topics that I am currently focusing on include:
Uncertainty estimation and out-of-distribution detection in deep learning;
Robustness to data irregularity and out-of-distribution generalization;
Uncertainty-aware deep learning in healthcare and computer vision.
研究兴趣
论文共 44 篇作者统计合作学者相似作者
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CoRR (2024)
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International Journal of Computer Visionno. 3 (2024): 689-709
International Journal of Computer Visionno. 2 (2024): 596-609
CoRR (2024)
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ICLR 2024 (2024)
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