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Learning Representations that Support Extrapolation.

, , , , , and . ICML, volume 119 of Proceedings of Machine Learning Research, page 10136-10146. PMLR, (2020)

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Understanding interactions amongst cognitive control, learning and representation., , , , , , , , , and 1 other author(s). CogSci, page 35-36. cognitivesciencesociety.org, (2019)The Relational Bottleneck as an Inductive Bias for Efficient Abstraction., , , , , , , , and . CoRR, (2023)Zero-shot visual reasoning through probabilistic analogical mapping., , , , and . CoRR, (2022)Extracting and Utilizing Abstract, Structured Representations for Analogy., , , , and . CogSci, page 1766-1772. cognitivesciencesociety.org, (2019)A tradeoff between generalization and perceptual capacity in recurrent neural networks., , , , , and . CogSci, page 3603. cognitivesciencesociety.org, (2019)A Prefrontal Cortex-inspired Architecture for Planning in Large Language Models., , , , and . CoRR, (2023)Evidence from counterfactual tasks supports emergent analogical reasoning in large language models., , and . CoRR, (2024)Learning Representations that Support Extrapolation., , , , , and . ICML, volume 119 of Proceedings of Machine Learning Research, page 10136-10146. PMLR, (2020)Emergent Symbols through Binding in External Memory., , and . CoRR, (2020)Systematic Visual Reasoning through Object-Centric Relational Abstraction., , and . NeurIPS, (2023)