Publications
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 Sucholutsky, I.P Chen, A. , Sucholutsky, I. , Russakovsky, O. , & Griffiths, T. L. (2024). Analyzing the Roles of Language and Vision in Learning from Limited Data. 46th Annual Meeting of the Cognitive Science Society. (pdf)
P Marjieh, R. , van Rijn, P. , Sucholutsky, I. , Lee, H. , Griffiths, T. L. , & Jacoby, N. (2024). A Rational Analysis of the Speech-to-Song Illusion. 46th Annual Meeting of the Cognitive Science Society. (pdf)
S&C Rane, S. , Ho, M. , Sucholutsky, I. , & Griffiths, T. L. (2024). Concept Alignment as a Prerequisite for Value Alignment. 46th Annual Meeting of the Cognitive Science Society. (pdf)
S&C Sucholutsky, I. , Zhao, B. , & Griffiths, T. L. (2024). Using Compositionality to Learn Many Categories from Few Examples. 46th Annual Meeting of the Cognitive Science Society. (pdf)
P SML Marjieh, R. , Sucholutsky, I. , van Rijn, P. , Jacoby, N. , & Griffiths, T. L. (2023). What language reveals about perception: Distilling psychophysical knowledge from large language models. 45th Annual Meeting of the Cognitive Science Society. (pdf)
DMRL Oktar, K. , Sucholutsky, I. , Lombrozo, T. , & Griffiths, T. L. (2023). Dimensions of disagreement: Unpacking divergence and misalignment in cognitive science and artificial intelligence. (preprint)
SML DMRL Peng, A. , Sucholutsky, I. , Li, B. , Sumers, T. , Griffiths, T. , Andreas, J. , & Shah, J. (2023). Learning with language-guided state abstractions. RSS Workshop on Social Intelligence in Humans and Robots. (pdf)
DMRL Rane, S. , Ho, M. , Sucholutsky, I. , & Griffiths, T. L. (2023). Concept alignment as a prerequisite for value alignment. AAAI 2024 Bridge on Collaborative AI and Modeling of Humans. (pdf)
S&C Sucholutsky, I. , Battleday, R. , Collins, K. , Marjieh, R. , Peterson, J. C. , Singh, P. , Bhatt, U. , Jacoby, N. , Weller, A. , & Griffiths, T. L. (2023). On the informativeness of supervision signals. Proceedings of the 39th Conference on Uncertainty in Artificial Intelligence. (pdf)
P PR Sucholutsky, I. , & Griffiths, T. L. (2023). Alignment with human representations supports robust few-shot learning. Advances in Neural Information Processing Systems, 37. (pdf)
DMRL Sucholutsky, I. , Muttenthaler, L. , Weller, A. , Peng, A. , Bobu, A. , Kim, B. , Love, B. C. , Grant, E. , Achterberg, J. , Tenenbaum, J. B. , Collins, K. M. , Hermann, K. L. , Oktar, K. , Greff, K. , Hebart, M. N. , Jacoby, N. , Marjieh, R. , Geirhos, R. , Chen, S. , Kornblith, S. , Rane, S. , Konkle, T. , O'Connell, T. P. , Unterthiner, T. , Lampinen, A. K. , Müller, K.-R. , Toneva, M. , & Griffiths, T. L. (2023). Getting aligned on representational alignment. (preprint)
S&C Malaviya, M. , Sucholutsky, I. , Oktar, K. , & Griffiths, T. L. (2022). Can Humans Do Less-Than-One-Shot Learning? Proceedings of the 44th Annual Conference of the Cognitive Science Society. (pdf)
S&C SML Marjieh, R. , Sucholutsky, I. , Sumers, T. R. , Jacoby, N. , & Griffiths, T. L. (2022). Predicting Human Similarity Judgments Using Large Language Models. Proceedings of the 44th Annual Conference of the Cognitive Science Society. (pdf)