基本信息
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Career Trajectory
Bio
My current research focuses on a couple issues: How can these models be used for unsupervised learning, in which the aim is to develop useful internal representations of data in situations in which correct labels are not provided? Practical related questions concern semi-supervised and transfer learning. And second, how can the calibrated, expressive formulations offered by probabilistic models be combined with the learning power of deep neural networks?
I am also interested in a number of other topics, including developing learning approaches to visual scene understanding (with a focus on segmentation and attention), and on ethical issues around the practice of machine learning, such as developing fair and privacy-preserving algorithms.
I am also interested in a number of other topics, including developing learning approaches to visual scene understanding (with a focus on segmentation and attention), and on ethical issues around the practice of machine learning, such as developing fair and privacy-preserving algorithms.
Research Interests
Papers共 288 篇Author StatisticsCo-AuthorSimilar Experts
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Tiantian Feng,Anil Ramakrishna,Jimit Majmudar,Charith Peris,Jixuan Wang,Clement Chung,Richard S. Zemel, Morteza Ziyadi, Rahul Gupta
CoRR (2024)
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arxiv(2024)
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CoRR (2024)
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CoRR (2024)
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arxiv(2023)
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WSDMpp.1291-1292, (2023)
2023 IEEE/CVF International Conference on Computer Vision (ICCV) (2023): 14179-14189
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