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By Grant, E
Probabilistic Reasoning
Nonparametric Bayesian Models
Jerfel, G., Grant, E. L., Griffiths, T. L., & Heller, K. (preprint). Online gradient-based mixtures for transfer modulation in meta-learning. (link)
Similarity and Categorization
Griffiths, T. L., Callaway, F., Chang, M. B., Grant, E., Krueger, P. M., & Leider, F. (2019). Doing more with less: meta-reasoning and meta-learning in humans and machines. Behavior Research Methods. (pdf)
Statistical Models of Language
Nematzadeh, A., Burns, K., Grant, E., Gopnik, A., & Griffiths, T. L. (2018). Evaluating theory of mind in question answering. In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing. (link)
Probabilistic Reasoning
Grant, E., Finn, C., Levine, S., Darrell, T., & Griffiths, T. L. (2018). Recasting gradient-based meta-learning as hierarchical Bayes. In Proceedings of the 6th International Conference on Learning Representations (ICLR). (link)
Cognitive Development
Statistical Models of Language
Grant, E., Nematzadeh, A., & Griffiths, T. L. (2017). How can memory-augmented neural networks pass a false-belief task? Proceedings of the 39th Annual Conference of the Cognitive Science Society. (pdf)

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