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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.
Papers159 papers
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ICLR 2021, (2021)
ICLR 2021, (2021)
ICLR 2021, (2021)
Wonkwang Lee, Whie Jung, Han Zhang,Ting Chen, Jing Yu Koh, Thomas Huang, Hyungsuk Yoon,Honglak Lee,Seunghoon Hong
ICLR 2021, (2021)
ICLR, (2020)
international conference on learning representations, (2020)
NIPS 2020, (2020)
NIPS 2020, (2020)
IJCAI 2020, pp.2824-2830, (2020)
CVPR, pp.9291-9300, (2020)
ICML, pp.5757-5766, (2020)
ICLR, (2020)
John D. Co-Reyes, Yingjie Miao, Daiyi Peng, Esteban Real,Sergey Levine,Quoc V. Le,Honglak Lee, Aleksandra Faust
international conference on learning representations, (2020)
national conference on artificial intelligence, (2020)
european conference on computer vision, pp.157-174, (2020)
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