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Visual Analogy: Deep Learning Versus Compositional Models.

, , , , , и . CogSci, cognitivesciencesociety.org, (2021)

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Distributed Code for Semantic Relations Predicts Neural Similarity during Analogical Reasoning., , , , и . J. Cogn. Neurosci., 33 (3): 377-389 (2021)Theory-based Causal Transfer: Integrating Instance-level Induction and Abstract-level Structure Learning., , , , , и . CoRR, (2019)The Martian: Examining Human Physical Judgments across Virtual Gravity Fields., , , , , и . IEEE Trans. Vis. Comput. Graph., 23 (4): 1399-1408 (2017)Zero-shot visual reasoning through probabilistic analogical mapping., , , , и . CoRR, (2022)Probabilistic Analogical Mapping with Semantic Relation Networks., , и . CoRR, (2021)Learning Perceptual Inference by Contrasting., , , , , и . NeurIPS, стр. 1073-1085. (2019)Visual Analogy: Deep Learning Versus Compositional Models., , , , , и . CogSci, cognitivesciencesociety.org, (2021)Causal versus Associative Relations: Do Humans Perceive and Represent Them Differently?, , , и . CogSci, cognitivesciencesociety.org, (2022)Transformability, generalizability, but limited diffusibility: Comparing global vs. task-specific language representations in deep neural networks., , и . Cogn. Syst. Res., (января 2024)Critical Features of Joint Actions that Signal Human Interaction., , , , и . CogSci, cognitivesciencesociety.org, (2016)