Hi, I'm Jane Doe.
PhD Candidate in Computer Science @ University of Tech
I research Machine Learning and Computer Vision. My work focuses on making AI models more efficient and interpretable for real-world applications.
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PhD Candidate in Computer Science @ University of Tech
I research Machine Learning and Computer Vision. My work focuses on making AI models more efficient and interpretable for real-world applications.
Developing pruning algorithms to reduce the size of deep learning models without significant accuracy loss.
Creating robust navigation systems for autonomous drones in cluttered environments using monocular vision.
Maintainer of 'PyVis', a Python library for visualizing neural network activation maps.