Research
My research these days focuses on large-scale multi-modal learning. During my PhD, I focused on efficient learning and domain adaptation in computer vision.
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DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning
Zifeng Wang,
Zizhao Zhang,
Sayna Ebrahimi,
Ruoxi Sun,
Han Zhang,
Chen-Yu Lee,
Xiaoqi Ren,
Guolong Su,
Vincent Perot,
Jennifer Dy,
Tomas Pfister,
European Conference on Computer Vision (ECCV 2022)
[Code]
A rehearsal-free approach for using prompts in continual learning.
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Self-Supervised Pretraining Improves Self-Supervised Pretraining
Colorado Reed*,
Xiangyu Yue*,
Ani Nrusimha,
Sayna Ebrahimi,
Vivek Vijaykumar,
Richard Mao,
Bo Li,
Shanghang Zhang,
Devin Guillory,
Sean Metzger,
Kurt Keutzer,
Trevor Darrell
Winter Conference on Applications of Computer Vision (WACV 2022)
[Code]
Hierchical self-supervised pretraining improves pretraining itself!
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Continual Learning with Neural Networks
Sayna Ebrahimi; Spring 2020
[Computer Science]
Mechanical Behavior of Materials at Multiscale: Peridynamic Theory and Learning-based Approaches
Sayna Ebrahimi; Spring 2020
[Mechcanical Engineering]
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