Taylor W. Webb

According to our database, Taylor W. Webb authored at least 18 papers between 2016 and 2024.

Collaborative distances:

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

2024

Slot Abstractors: Toward Scalable Abstract Visual Reasoning.

Shanka Subhra Mondal, Jonathan D. Cohen, Taylor W. Webb

CoRR, 2024

2023

A Prefrontal Cortex-inspired Architecture for Planning in Large Language Models.

Taylor W. Webb, Shanka Subhra Mondal, Chi Wang, Brian Krabach, Ida Momennejad

CoRR, 2023

The Relational Bottleneck as an Inductive Bias for Efficient Abstraction.

Taylor W. Webb, Steven M. Frankland, Awni Altabaa, Kamesh Krishnamurthy, Declan Campbell, Jacob L. Russin, Randall C. O'Reilly, John Lafferty, Jonathan D. Cohen

CoRR, 2023

Determinantal Point Process Attention Over Grid Codes Supports Out of Distribution Generalization.

Shanka Subhra Mondal, Steven Frankland, Taylor W. Webb, Jonathan D. Cohen

CoRR, 2023

Abstractors: Transformer Modules for Symbolic Message Passing and Relational Reasoning.

Awni Altabaa, Taylor W. Webb, Jonathan D. Cohen, John Lafferty

CoRR, 2023

Systematic Visual Reasoning through Object-Centric Relational Abstraction.

Taylor W. Webb, Shanka Subhra Mondal, Jonathan D. Cohen

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning to reason over visual objects.

Shanka Subhra Mondal, Taylor Whittington Webb, Jonathan Cohen

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Emergent Analogical Reasoning in Large Language Models.

Taylor W. Webb, Keith J. Holyoak, Hongjing Lu

CoRR, 2022

Zero-shot visual reasoning through probabilistic analogical mapping.

Taylor W. Webb, Shuhao Fu, Trevor Bihl, Keith J. Holyoak, Hongjing Lu

CoRR, 2022

2021

Emergent Symbols through Binding in External Memory.

Taylor Whittington Webb, Ishan Sinha, Jonathan D. Cohen

Proceedings of the 9th International Conference on Learning Representations, 2021

Modelling the development of counting with memory-augmented neural networks.

Zack Dulberg, Taylor W. Webb, Jonathan Cohen

Proceedings of the 43th Annual Meeting of the Cognitive Science Society, 2021

2020

A Memory-Augmented Neural Network Model of Abstract Rule Learning.

Ishan Sinha, Taylor W. Webb, Jonathan D. Cohen

CoRR, 2020

Learning Representations that Support Extrapolation.

Taylor W. Webb, Zachary Dulberg, Steven Frankland, Alexander A. Petrov, Randall C. O'Reilly, Jonathan Cohen

Proceedings of the 37th International Conference on Machine Learning, 2020

A memory-augmented neural network model of abstract sequential reasoning.

Ishan Sinha, Jonathan Cohen, Taylor W. Webb

Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

2019

A tradeoff between generalization and perceptual capacity in recurrent neural networks.

Taylor W. Webb, Steven Frankland, Simon N. Segert, Alexander A. Petrov, Randall C. O'Reilly, Jonathan Cohen

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Understanding interactions amongst cognitive control, learning and representation.

Sebastian Musslick, Abigail Novick Hoskin, Taylor W. Webb, Steven Frankland, Jonathan D. Cohen, Rebecca L. Jackson, Matthew A. Lambon Ralph, Lang Chen, Timothy T. Rogers, Randall C. O'Reilly, Alexander A. Petrov

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Extracting and Utilizing Abstract, Structured Representations for Analogy.

Steven Frankland, Taylor W. Webb, Alexander A. Petrov, Randall C. O'Reilly, Jonathan Cohen

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

2016

Effects of Awareness on the Control of Attention.

Taylor W. Webb, Hope H. Kean, Michael S. A. Graziano

J. Cogn. Neurosci., 2016