View By Topic:
All Topics
F Foundations
P Perception
E Education
CI Causal Induction
CD Cognitive Development
PR Probabilistic Reasoning
RPM Rational Process Models
S&C Similarity and Categorization
SML Statistical Models of Language
NBM Nonparametric Bayesian Models
CEIL Cultural Evolution and Iterated Learning
DMRL Decision Making and Reinforcement Learning

(Click on an author's name to view all papers by that author.)

Filter publications

By Dasgupta, I.
Dasgupta, I., Grant, E., & Griffiths, T. L. (preprint). Distinguishing rule- and exemplar-based generalization in learning systems. (link)
Tuli, S., Dasgupta, I., Grant, E., & Griffiths, T. L. (preprint). Are Convolutional Neural Networks or Transformers more like human vision?. (link)
Langlois, T. A., Zhao, H. C., Grant, E., Dasgupta, I., Griffiths, T. L., & Jacoby, N. (2021). Passive attention in artificial neural networks predicts human visual selectivity. (link)
Kumar, S., Dasgupta, I., Cohen, J. D., Daw, N. D., & Griffiths, T. L. (2021). Meta-learning of structured task distributions in humans and machines. Proceedings of the 9th International Conference on Learning Representations (ICLR). (pdf)

© 2021 Computational Cognitive Science Lab  |  Department of Psychology  |  Princeton University