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Honglak Lee
Associate Professor
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My research interests lie in machine learning and its applications to artificial intelligence. In particular, I focus on deep learning and representation learning, which aims to learn an abstract representation of the data by a hierarchical and compositional structure. My research also spans over related topics, such as graphical models, optimization, and large-scale learning. Specific application areas include computer vision, audio recognition, robotics, text modeling, and healthcare.
Papers154 papers
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european conference on computer vision, pp.157-174, (2020)
NeurIPS, (2020)
NeurIPS, (2020)
NeurIPS, (2020)
international conference on learning representations, (2020)
CVPR, pp.9291-9300, (2020)
ICML, pp.5757-5766, (2020)
ICLR, (2020)
IJCAI, pp.2824-2830, (2020)
ICLR, (2020)
national conference on artificial intelligence, (2020)
international conference on learning representations, (2019)
ICLR, (2019)
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