基本信息
浏览量:223
职业迁徙
个人简介
Research Interests:
Modern machine learning systems are critically dependent on data representations. My research in this area focuses on designing computationally and statistically efficient algorithms for learning such representations and understanding their behavior through concepts such as convergence, complexity, privacy, fairness, and security. I am specifically interested in developing novel modeling paradigms that afford explicit control over the semantic information content in a representation. My research agenda is directly motivated by and contributes to applications in machine learning, computer vision, biometric recognition, and medical imaging.
Modern machine learning systems are critically dependent on data representations. My research in this area focuses on designing computationally and statistically efficient algorithms for learning such representations and understanding their behavior through concepts such as convergence, complexity, privacy, fairness, and security. I am specifically interested in developing novel modeling paradigms that afford explicit control over the semantic information content in a representation. My research agenda is directly motivated by and contributes to applications in machine learning, computer vision, biometric recognition, and medical imaging.
研究兴趣
论文共 100 篇作者统计合作学者相似作者
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ACM Conference on Fairness, Accountability and Transparency (2024): 1229-1244
ICLR 2024 (2024)
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2024 IEEE 18th International Conference on Automatic Face and Gesture Recognition (FG)pp.1-9, (2024)
Sepehr Dehdashtian, Ruozhen He,Yi Li,Guha Balakrishnan,Nuno Vasconcelos, Vicente Ordonez,Vishnu Naresh Boddeti
arxiv(2024)
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2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)pp.12038-12046, (2024)
arXiv (Cornell University) (2024)
CoRR (2023)
CoRR (2023)
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作者统计
#Papers: 100
#Citation: 3420
H-Index: 27
G-Index: 58
Sociability: 5
Diversity: 2
Activity: 84
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D-Core
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