Scholar
Kevin Swersky
Google Scholar ID: IrixA8MAAAAJ
Google Brain
Machine Learning
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Homepage
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Citations & Impact
All-time
Citations
37,836
H-index
40
i10-index
57
Publications
20
Co-authors
9
list available
Contact
No contact links provided.
Publications
5 items
Analysis of Optimality of Large Language Models on Planning Problems
2026
Cited
0
SWE-fficiency: Can Language Models Optimize Real-World Repositories on Real Workloads?
2025
Cited
0
A Comparative Analysis of LLM Adaptation: SFT, LoRA, and ICL in Data-Scarce Scenarios
2025
Cited
0
Video models are zero-shot learners and reasoners
2025
Cited
0
Do generative video models learn physical principles from watching videos?
2025
Cited
0
Resume (English only)
Academic Achievements
- Published 'A New Deep Learning Framework for Medical Image Recognition' in International Journal of Medical Imaging, 2022
- Best Paper Award, Machine Learning Conference, 2021
Research Experience
- Project Lead, AI Health Analytics System, XX Corp, 2021-Present
- Senior Researcher, NLP Group, ZZ Institute, 2018-2020
Education
- Ph.D., XX University, Advisor: Prof. Zhang, 2015-2020, Major: Computer Science and Technology
- M.S., YY University, 2010-2013, Major: Software Engineering
Background
- Research Interests: Artificial Intelligence, Machine Learning
- Field of Expertise: Computer Science
- Bio: Focused on developing new algorithms to solve complex problems.
Miscellany
- Personal Interests: Participates in hackathons, enjoys hiking
Co-authors
9 total
Richard Zemel
Professor of Computer Science, University of Toronto
Ryan P. Adams
Princeton University
Geoffrey Hinton
Emeritus Prof. Computer Science, University of Toronto
Co-author 4
Jasper Snoek
Google Brain
Jake C. Snell
Associate Research Scholar, Princeton University
Yujia Li
Research Scientist, Google DeepMind
Benjamin M. Marlin
Manning College of Information and Computer Sciences, UMass Amherst
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