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By Peterson, J
Similarity and Categorization
Battleday, R. M., Peterson, J. C., & Griffiths, T. L. (preprint). Modeling human categorization of natural images using deep feature representations. (link)
Rational Process Models
Decision Making and Reinforcement Learning
Agrawal, M., Peterson, J. C., & Griffiths, T. L. (in press). Scaling up psychology via scientific regret minimization: A case study in moral decisions. Proceedings of the National Academy of Sciences.(pdf)
Perception
Similarity and Categorization
Grant, E., Peterson, J., & Griffiths, T. (2019). Learning deep taxonomic priors for concept learning from few positive examples. Proceedings of the 41st Annual Conference of the Cognitive Science Society. (pdf)
Perception
Similarity and Categorization
Peterson, J., Battleday, R., Griffiths, T. L., & Russakovsky, O. (2019). Human uncertainty makes classification more robust. Proceedings of the IEEE International Conference on Computer Vision. (pdf)
Decision Making and Reinforcement Learning
Bourgin, D., Peterson, J., Reichman, D., Russell, S., & Griffiths, T. L. (2019). Cognitive model priors for predicting human decisions. Proceedings of the 36th International Conference on Machine Learning (ICML). (pdf)
Rational Process Models
Decision Making and Reinforcement Learning
Agrawal, M., Peterson, J.C., & Griffiths, T. L. (2019). Using machine learning to guide cognitive modeling: a case study in moral reasoning. Proceedings of the 41st Annual Conference of the Cognitive Science Society . (pdf)
Perception
Similarity and Categorization
Peterson, J. C., Abbott, J. T., & Griffiths, T. L. (2018). Evaluating (and improving) the correspondence between deep neural networks and human representations. Cognitive Science. (pdf)
Perception
Similarity and Categorization
Suchow, J. W., Peterson, J. C., & Griffiths, T. L. (2018). Learning a face space for experiments on human identity. Proceedings of the 40th Annual Conference of the Cognitive Science Society. (pdf)
Similarity and Categorization
Peterson, J. C., Suchow, J. W., Aghi, K., Ku, A. Y., & Griffiths, T. L. (2018). Capturing human category representations by sampling in deep feature spaces. Proceedings of the 40th Annual Conference of the Cognitive Science Society. (pdf)
Similarity and Categorization
Statistical Models of Language
Peterson, J. C., Soulos, P., Nematzadeh, A., & Griffiths, T. L. (2018). Learning hierarchical visual representations in deep neural networks using hierarchical linguistic labels. Proceedings of the 40th Annual Conference of the Cognitive Science Society. (pdf)
Similarity and Categorization
Statistical Models of Language
Chen, D., Peterson, J. C., & Griffiths, T. L. (2017). Evaluating vector-space models of analogy. Proceedings of the 39th Annual Conference of the Cognitive Science Society. (pdf)
Perception
Similarity and Categorization
Peterson, J. C., & Griffiths, T. L. (2017). Evidence for the size principle in semantic and perceptual domains. Proceedings of the 39th Annual Conference of the Cognitive Science Society. (pdf)
Perception
Similarity and Categorization
Peterson, J., Abbott, J. T., & Griffiths, T. L. (2016). Adapting deep network features to capture psychological representations. Proceedings of the 38th Annual Conference of the Cognitive Science Society. (pdf) (Winner of the Computational Modeling Prize in Perception/Action)

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