1 citations · 1 across the 4 of their papers we have counts for
4 papers
Stretching Beyond the Obvious: A Gradient-Free Framework to Unveil the Hidden Landscape of Visual Invariance
Lorenzo Tausani, Paolo Muratore, Morgan B. Talbot +3
Uncovering which feature combinations are encoded by visual units is critical to understanding how images are transformed into representations that support recognition. While exist…
L-WISE: Boosting Human Visual Category Learning Through Model-Based Image Selection and Enhancement
Morgan B. Talbot, Gabriel Kreiman, James J. DiCarlo +1
The currently leading artificial neural network models of the visual ventral stream - which are derived from a combination of performance optimization and robustification methods -…
Learning to Learn: How to Continuously Teach Humans and Machines
Parantak Singh, You Li, Ankur Sikarwar +7
Curriculum design is a fundamental component of education. For example, when we learn mathematics at school, we build upon our knowledge of addition to learn multiplication. These…
Tuned Compositional Feature Replays for Efficient Stream Learning
Morgan B. Talbot, Rushikesh Zawar, Rohil Badkundri +2
Our brains extract durable, generalizable knowledge from transient experiences of the world. Artificial neural networks come nowhere close to this ability. When tasked with learnin…