research
I’m interested in self-supervised learning, representation learning, curiosity-based exploration, and leveraging internet-scale models and data. I am keen to draw inspiration from intelligence in humans and nature—especially as a goal-post rather than a blueprint. My long-term goal is to develop intelligent agents that can generalize and continually adapt as robustly and efficiently as humans do, allowing them to be safely deployed in the real world.
Publications
2023
- ⏳ CVPR-23 ⌛Internet Explorer: Representation Learning on the Open WebIn Conference on Computer Vision and Pattern Recognition, 2023