Vinay M.S.
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Researcher
Also affiliated: Indian Institute of Science Bangalore (2019)
Unknown Researcher
Research Areas
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Biography and Research Information
OverviewAI-generated summary
Vinay M.S. studies machine learning applications, focusing on areas such as fraud detection and improving the selection of demonstrations for in-context learning in large language models. His work on fraud detection utilizes contrastive positive unlabeled learning, a method for training models when only a small subset of labeled data is available. He also investigates methods to enhance the efficiency of in-context learning by analyzing the influence of different demonstrations on model performance. His research has resulted in two publications, and he has a h-index of 2 with 9 citations. He has collaborated with researchers Xintao Wu and Minh-Hao Van at the University of Arkansas at Fayetteville on shared publications.
Metrics
- h-index: 2
- Publications: 2
- Citations: 9
Selected Publications
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Selecting In-Context Learning Demonstrations Via Influence Analysis (2025)
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Fraud Detection via Contrastive Positive Unlabeled Learning (2022)
Collaboration Network
Top Collaborators
- Fraud Detection via Contrastive Positive Unlabeled Learning
- Selecting In-Context Learning Demonstrations Via Influence Analysis
- Fraud Detection via Contrastive Positive Unlabeled Learning
- Selecting In-Context Learning Demonstrations Via Influence Analysis
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