Morgan B. Talbot

According to our database, Morgan B. Talbot authored at least 7 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Stretching Beyond the Obvious: A Gradient-Free Framework to Unveil the Hidden Landscape of Visual Invariance.

Lorenzo Tausani, Paolo Muratore, Morgan B. Talbot, Giacomo Amerio, Gabriel Kreiman, Davide Zoccolan

CoRR, June, 2025

Tuned Compositional Feature Replays for Efficient Stream Learning.

Morgan B. Talbot, Rushikesh Zawar, Rohil Badkundri, Mengmi Zhang, Gabriel Kreiman

IEEE Trans. Neural Networks Learn. Syst., February, 2025

L-WISE: Boosting Human Visual Category Learning Through Model-Based Image Selection and Enhancement.

Morgan Bruce Talbot, Gabriel Kreiman, James J. DiCarlo, Guy Gaziv

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

L-WISE: Boosting Human Image Category Learning Through Model-Based Image Selection And Enhancement.

Morgan B. Talbot, Gabriel Kreiman, James J. DiCarlo, Guy Gaziv

CoRR, 2024

2023

Learning to Learn: How to Continuously Teach Humans and Machines.

Parantak Singh, You Li, Ankur Sikarwar, Weixian Lei, Difei Gao, Morgan B. Talbot, Ying Sun, Mike Zheng Shou, Gabriel Kreiman, Mengmi Zhang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Learning to Learn: How to Continuously Teach Humans and Machines.

Parantak Singh, You Li, Ankur Sikarwar, Weixian Lei, Daniel Gao, Morgan Bruce Talbot, Ying Sun, Mike Zheng Shou, Gabriel Kreiman, Mengmi Zhang

CoRR, 2022

2021

Hypothesis-driven Stream Learning with Augmented Memory.

Mengmi Zhang, Rohil Badkundri, Morgan B. Talbot, Gabriel Kreiman

CoRR, 2021