jan 30, 2025
Morgan Talbot presenting at Vision Journal Club
Morgan will be presenting the paper “L-WISE: Boosting Human Image Category Learning Through Model-Based Image Selection and Enhancement.”
For a concise summary, please see the project website. The paper explores ways to enhance visual category learning in humans by applying adversarially trained ANNs as models of visual perception.
6543092
talbot
1
apa
50
date
1063
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Talbot, M. B., Kreiman, G., DiCarlo, J. J., & Gaziv, G. (2025). L-WISE: Boosting Human Image Category Learning Through Model-Based Image Selection And Enhancement. International Conference on Learning Representaitons (ICLR). http://arxiv.org/abs/2412.09765
Talbot, M. B., Zawar, R., Badkundri, R., Zhang, M., & Kreiman, G. (2023). Tuned compositional feature replays for efficient stream learning. IEEE Transactions on Neural Networks and Learning Systems, PP. https://drive.google.com/file/d/1WN6RMwjhIinpMoz7Brg-mjwhrXZCkTcH/view?usp=sharing
Singh, P., Li, Y., Sikarwar, A., Lei, W., Gao, D., Talbot, M., Sun, Y., Shou, M., Kreiman, G., & Zhang, M. (2023). Learning to Learn: How to Continuously Teach Humans and Machines. International Conference on Computer Vision (ICCV). https://drive.google.com/file/d/1iaiPhS-IrJMFXzygwnXUa_urok-0bN6Z/view?usp=sharing