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Taylor W. Webb
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2020 – today
- 2024
- [c11]Awni Altabaa, Taylor Whittington Webb, Jonathan D. Cohen, John Lafferty:
Abstractors and relational cross-attention: An inductive bias for explicit relational reasoning in Transformers. ICLR 2024 - [c10]Shanka Subhra Mondal, Jonathan D. Cohen, Taylor Whittington Webb:
Slot Abstractors: Toward Scalable Abstract Visual Reasoning. ICML 2024 - [i14]Shanka Subhra Mondal, Jonathan D. Cohen, Taylor W. Webb:
Slot Abstractors: Toward Scalable Abstract Visual Reasoning. CoRR abs/2403.03458 (2024) - [i13]Taylor W. Webb, Keith J. Holyoak, Hongjing Lu:
Evidence from counterfactual tasks supports emergent analogical reasoning in large language models. CoRR abs/2404.13070 (2024) - 2023
- [c9]Shanka Subhra Mondal, Taylor Whittington Webb, Jonathan Cohen:
Learning to reason over visual objects. ICLR 2023 - [c8]Taylor W. Webb, Shanka Subhra Mondal, Jonathan D. Cohen:
Systematic Visual Reasoning through Object-Centric Relational Abstraction. NeurIPS 2023 - [i12]Shanka Subhra Mondal, Taylor Whittington Webb, Jonathan D. Cohen:
Learning to reason over visual objects. CoRR abs/2303.02260 (2023) - [i11]Awni Altabaa, Taylor W. Webb, Jonathan D. Cohen, John Lafferty:
Abstractors: Transformer Modules for Symbolic Message Passing and Relational Reasoning. CoRR abs/2304.00195 (2023) - [i10]Shanka Subhra Mondal, Steven Frankland, Taylor W. Webb, Jonathan D. Cohen:
Determinantal Point Process Attention Over Grid Codes Supports Out of Distribution Generalization. CoRR abs/2305.18417 (2023) - [i9]Taylor W. Webb, Shanka Subhra Mondal, Jonathan D. Cohen:
Systematic Visual Reasoning through Object-Centric Relational Abstraction. CoRR abs/2306.02500 (2023) - [i8]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 abs/2309.06629 (2023) - [i7]Taylor W. Webb, Shanka Subhra Mondal, Chi Wang, Brian Krabach, Ida Momennejad:
A Prefrontal Cortex-inspired Architecture for Planning in Large Language Models. CoRR abs/2310.00194 (2023) - 2022
- [i6]Taylor W. Webb, Shuhao Fu, Trevor Bihl, Keith J. Holyoak, Hongjing Lu:
Zero-shot visual reasoning through probabilistic analogical mapping. CoRR abs/2209.15087 (2022) - [i5]Taylor W. Webb, Keith J. Holyoak, Hongjing Lu:
Emergent Analogical Reasoning in Large Language Models. CoRR abs/2212.09196 (2022) - 2021
- [c7]Zack Dulberg, Taylor W. Webb, Jonathan Cohen:
Modelling the development of counting with memory-augmented neural networks. CogSci 2021 - [c6]Taylor Whittington Webb, Ishan Sinha, Jonathan D. Cohen:
Emergent Symbols through Binding in External Memory. ICLR 2021 - [i4]Zack Dulberg, Taylor W. Webb, Jonathan Cohen:
Modelling the development of counting with memory-augmented neural networks. CoRR abs/2105.10577 (2021) - 2020
- [c5]Ishan Sinha, Jonathan Cohen, Taylor W. Webb:
A memory-augmented neural network model of abstract sequential reasoning. CogSci 2020 - [c4]Taylor W. Webb, Zachary Dulberg, Steven Frankland, Alexander A. Petrov, Randall C. O'Reilly, Jonathan Cohen:
Learning Representations that Support Extrapolation. ICML 2020: 10136-10146 - [i3]Taylor W. Webb, Zachary Dulberg, Steven M. Frankland, Alexander A. Petrov, Randall C. O'Reilly, Jonathan D. Cohen:
Learning Representations that Support Extrapolation. CoRR abs/2007.05059 (2020) - [i2]Ishan Sinha, Taylor W. Webb, Jonathan D. Cohen:
A Memory-Augmented Neural Network Model of Abstract Rule Learning. CoRR abs/2012.07172 (2020) - [i1]Taylor W. Webb, Ishan Sinha, Jonathan D. Cohen:
Emergent Symbols through Binding in External Memory. CoRR abs/2012.14601 (2020)
2010 – 2019
- 2019
- [c3]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: 35-36 - [c2]Steven Frankland, Taylor W. Webb, Alexander A. Petrov, Randall C. O'Reilly, Jonathan Cohen:
Extracting and Utilizing Abstract, Structured Representations for Analogy. CogSci 2019: 1766-1772 - [c1]Taylor W. Webb, Steven Frankland, Simon N. Segert, Alexander A. Petrov, Randall C. O'Reilly, Jonathan Cohen:
A tradeoff between generalization and perceptual capacity in recurrent neural networks. CogSci 2019: 3603 - 2016
- [j1]Taylor W. Webb, Hope H. Kean, Michael S. A. Graziano:
Effects of Awareness on the Control of Attention. J. Cogn. Neurosci. 28(6): 842-851 (2016)
Coauthor Index
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last updated on 2024-10-07 22:24 CEST by the dblp team
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