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How Can Memory-Augmented Neural Networks Pass a False-Belief Task?

, , and . CogSci, cognitivesciencesociety.org, (2017)

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Gaussian process surrogate models for neural networks., , and . CoRR, (2022)The Transient Nature of Emergent In-Context Learning in Transformers., , , , , and . CoRR, (2023)Gaussian Process Surrogate Models for Neural Networks., , and . UAI, volume 216 of Proceedings of Machine Learning Research, page 1241-1252. PMLR, (2023)Evaluating Theory of Mind in Question Answering., , , , and . EMNLP, page 2392-2400. Association for Computational Linguistics, (2018)Cognitive analyses of machine learning systems. University of California, Berkeley, USA, (2022)Passive attention in artificial neural networks predicts human visual selectivity., , , , , and . NeurIPS, page 27094-27106. (2021)Learning deep taxonomic priors for concept learning from few positive examples., , and . CogSci, page 1865-1870. cognitivesciencesociety.org, (2019)Recasting Gradient-Based Meta-Learning as Hierarchical Bayes., , , , and . ICLR (Poster), OpenReview.net, (2018)Getting aligned on representational alignment., , , , , , , , , and 19 other author(s). CoRR, (2023)Context-Conditioning as Cognitive Control: Guiding Meta-learning with Task Information., , , , and . CoRR, (2020)