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个人简介
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.
研究兴趣
论文共 279 篇作者统计合作学者相似作者
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arxiv(2023)
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WSDMpp.1291-1292, (2023)
Anaelia Ovalle,Palash Goyal,Jwala Dhamala, Zachary Jaggers,Kai-Wei Chang,Aram Galstyan,Richard Zemel,Rahul Gupta
CoRR (2023): 1246-1266
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Rahul Gupta, Lisa Bauer,Kai-Wei Chang,Jwala Dhamala,Aram Galstyan,Palash Goyal,Qian Hu, Avni Khatri, Rohit Parimi,Charith Peris,Apurv Verma,Richard S. Zemel,
WSDMpp.1289-1290, (2023)
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D-Core
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