| PublicationsView By Topic: All Topics
 CI Causal Induction
 CD Cognitive Development
 CEIL Cultural Evolution and Iterated Learning
 DMRL Decision Making and Reinforcement Learning
 E Education
 F Foundations
 IB Inductive Biases
 NBM Nonparametric Bayesian Models
 P Perception
 PR Probabilistic Reasoning
 RPM Rational Process Models
 S&C Similarity and Categorization
 SC Social Cognition
 SML Statistical Models of Language
 
 (Click on an author's name to view all papers by that author.)
 
 Filter publications
 
			| By Darrell, T.
 |  | IB PR
 
 | 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). (pdf) |  | P S&C
 
 | Jia, Y., Abbott, J. T., Austerweil, J. L., Griffiths, T. L., & Darrell, T. (2013). Visual concept learning: Combining machine vision and Bayesian generalization on concept hierarchies. Advances in Neural Information Processing Systems, 26. (pdf) |  |