
Dr. Judy Hoffman
Associate Professor in the School of Interactive Computing at Georgia Tech and a member of the Machine Learning Center. Research interests include computer vision, machine learning, domain adaptation, robustness, and fairness.
Prior to joining Georgia Tech, Dr. Hoffman was a Visiting Research Scientist at Facebook AI Research and a postdoctoral scholar at Stanford University and UC Berkeley. She received her PhD from UC Berkeley, EECS in 2016 where she was a member of BAIR and BDD and advised by Trevor Darrell.
Google Scholar | CV | Github | Twitter | Bio
Research Statement: My research aims to enable learning based AI systems that can reliably benefit a diverse set of people and applications, even under resource constraints. I focus on algorithms for data efficient adaptation, reducing computation time, and building benchmarks and tools to better understand and mitigate model errors.
Recent News
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I am is giving two invited talks at the Uncertainty Workshop and the Next Generation of Data Workshop. Congratulations to Fiona on presenting two papers at CVPR: Gazelle for gaze recognition and Polar for improving personalized search!
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Honored to have received Tenure at Georgia Tech!
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Excited that DeCAF has won the ICML 2024 test of time award!
Contact
- Email: judy@gatech.edu
- Office: S1121 Coda Building, Georgia Tech
- Twitter: @judyfhoffman
- LinkedIn: judy-hoffman-ai