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职业迁徙
个人简介
My area of expertise is in machine learning with a special focus on open-world machine learning, where we aim to replace the traditional brute-force approach of fitting a fixed model onto the data with more flexible models that can account for the non-stationary nature of real-world machine learning problems. We achieve this by placing suitably chosen non-parametric Bayesian priors over class distributions to model not only observed classes but unobserved ones as well in an effort to perform joint classification and clustering. Deep feature learning has recently become an important component of my research in open-world machine learning. How to learn a feature embedding that is specific enough to discriminate observed classes but also general enough to accommodate a large number of unobserved classes? How to develop loss functions that are not biased towards observed classes? How to take advantage of class descriptions or other side information to discover and model unobserved classes? These are some of the deep machine learning problems I have been working lately. My most recent research projects involve axon segmentation in electron microscopy images, mineral mapping on Mars using orbital data, describing the undescribed species using images and DNA, authorship attribution in historical texts.
研究兴趣
论文共 113 篇作者统计合作学者相似作者
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ORTHODONTICS & CRANIOFACIAL RESEARCH (2023)
Orthodontics & craniofacial researchno. 4 (2023): 552-559
FRONTIERS IN NEUROSCIENCE (2023)
Tyler Wood, Justina O. Anigbo,George Eckert,Kelton T. Stewart,Mehmet Murat Dundar,Hakan Turkkahraman
Diagnosticsno. 9 (2023): 1553-1553
International Orthodonticsno. 3 (2023): 100759
semanticscholar(2022)
CoRR (2022)
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作者统计
#Papers: 113
#Citation: 2619
H-Index: 29
G-Index: 49
Sociability: 5
Diversity: 2
Activity: 7
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