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Tell me why! - Explanations support learning of relational and causal structure., , , , , , , , , and 1 other author(s). CoRR, (2021)Language models show human-like content effects on reasoning., , , , , , and . CoRR, (2022)Object-based attention for spatio-temporal reasoning: Outperforming neuro-symbolic models with flexible distributed architectures., , , and . CoRR, (2020)Multi-Modal Models for Concrete and Abstract Concept Meaning., , and . Trans. Assoc. Comput. Linguistics, (2014)Feature-Attending Recurrent Modules for Generalization in Reinforcement Learning., , , , and . CoRR, (2021)Concreteness and Corpora: A Theoretical and Practical Study., , and . CMCL, page 75-83. Association for Computational Linguistics, (2013)The Edge of Orthogonality: A Simple View of What Makes BYOL Tick., , , , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 29063-29081. PMLR, (2023)Higher-order Comparisons of Sentence Encoder Representations., , , , and . EMNLP/IJCNLP (1), page 5837-5844. Association for Computational Linguistics, (2019)Simulating Early Word Learning in Situated Connectionist Agents., , , and . CogSci, cognitivesciencesociety.org, (2020)Measuring abstract reasoning in neural networks., , , , and . ICML, volume 80 of Proceedings of Machine Learning Research, page 4477-4486. PMLR, (2018)