Taylor W. Webb

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 17

Top Topics

Case Based Reasoner

Structured Representations

Top Venues

J. Cogn. Neurosci.

Publications

Shanka Subhra Mondal, Jonathan D. Cohen, Taylor W. Webb
Slot Abstractors: Toward Scalable Abstract Visual Reasoning. CoRR (2024)
Taylor W. Webb, Keith J. Holyoak, Hongjing Lu
Evidence from counterfactual tasks supports emergent analogical reasoning in large language models. CoRR (2024)
Taylor W. Webb, Steven M. Frankland, Awni Altabaa, Kamesh Krishnamurthy, Declan Campbell, Jacob L. Russin, Randall C. O'Reilly, John Lafferty, Jonathan D. Cohen
The Relational Bottleneck as an Inductive Bias for Efficient Abstraction. CoRR (2023)
Taylor W. Webb, Shanka Subhra Mondal, Jonathan D. Cohen
Systematic Visual Reasoning through Object-Centric Relational Abstraction. CoRR (2023)
Taylor W. Webb, Shuhao Fu, Trevor Bihl, Keith J. Holyoak, Hongjing Lu
Zero-shot visual reasoning through probabilistic analogical mapping. CoRR (2022)
Taylor W. Webb, Keith J. Holyoak, Hongjing Lu
Emergent Analogical Reasoning in Large Language Models. CoRR (2022)
Zack Dulberg, Taylor W. Webb, Jonathan Cohen
Modelling the development of counting with memory-augmented neural networks. CoRR (2021)
Zack Dulberg, Taylor W. Webb, Jonathan Cohen
Modelling the development of counting with memory-augmented neural networks. CogSci (2021)
Ishan Sinha, Taylor W. Webb, Jonathan D. Cohen
A Memory-Augmented Neural Network Model of Abstract Rule Learning. CoRR (2020)
Ishan Sinha, Jonathan Cohen, Taylor W. Webb
A memory-augmented neural network model of abstract sequential reasoning. CogSci (2020)
Taylor W. Webb, Zachary Dulberg, Steven M. Frankland, Alexander A. Petrov, Randall C. O'Reilly, Jonathan D. Cohen
Learning Representations that Support Extrapolation. CoRR (2020)
Taylor W. Webb, Ishan Sinha, Jonathan D. Cohen
Emergent Symbols through Binding in External Memory. CoRR (2020)
Taylor W. Webb, Zachary Dulberg, Steven Frankland, Alexander A. Petrov, Randall C. O'Reilly, Jonathan Cohen
Learning Representations that Support Extrapolation. ICML (2020)
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
Understanding interactions amongst cognitive control, learning and representation. CogSci (2019)
Steven Frankland, Taylor W. Webb, Alexander A. Petrov, Randall C. O'Reilly, Jonathan Cohen
Extracting and Utilizing Abstract, Structured Representations for Analogy. CogSci (2019)
Taylor W. Webb, Steven Frankland, Simon Segert, Alexander A. Petrov, Randall C. O'Reilly, Jonathan Cohen
A tradeoff between generalization and perceptual capacity in recurrent neural networks. CogSci (2019)
Taylor W. Webb, Hope H. Kean, Michael S. A. Graziano
Effects of Awareness on the Control of Attention. J. Cogn. Neurosci. 28 (6) (2016)