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职业迁徙
个人简介
Currently I am taking a gap year. I am getting ready to research in deep learning in the future. My ultimate goal is to build intelligent machines that is trustworthy enough to be responsibly deployed in the real world. I believe the key to this goal is to overcome the limitations of deep learning tools, which include 1) not knowing what they are uncertain; 2) being uninterpretable black-box; 3) being easily fooled; 4) relying on big data and 5) lacking solid mathematical foundations. I believe Bayesian inference would be the most promising framework that can potentially solve these problems. I am especially intersted in topics like Bayesian deep learning and PAC-Bayes.
研究兴趣
论文共 4 篇作者统计合作学者相似作者
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IEEE TRANSACTIONS ON IMAGE PROCESSING (2024): 439-450
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