Erin Grant

According to our database, Erin Grant authored at least 22 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Bayes in the age of intelligent machines.

Thomas L. Griffiths, Jian-Qiao Zhu, Erin Grant, R. Thomas McCoy

CoRR, 2023

Getting aligned on representational alignment.

Ilia Sucholutsky, Lukas Muttenthaler, Adrian Weller, Andi Peng, Andreea Bobu, Been Kim, Bradley C. Love, Erin Grant, Jascha Achterberg, Joshua B. Tenenbaum, Katherine M. Collins, Katherine L. Hermann, Kerem Oktar, Klaus Greff, Martin N. Hebart, Nori Jacoby, Qiuyi Zhang, Raja Marjieh, Robert Geirhos, Sherol Chen, Simon Kornblith, Sunayana Rane, Talia Konkle, Thomas P. O'Connell, Thomas Unterthiner, Andrew K. Lampinen, Klaus-Robert Müller, Mariya Toneva, Thomas L. Griffiths

CoRR, 2023

Gaussian Process Surrogate Models for Neural Networks.

Michael Y. Li, Erin Grant, Thomas L. Griffiths

Proceedings of the Uncertainty in Artificial Intelligence, 2023

The Transient Nature of Emergent In-Context Learning in Transformers.

Aaditya K. Singh, Stephanie C. Y. Chan, Ted Moskovitz, Erin Grant, Andrew M. Saxe, Felix Hill

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Cognitive analyses of machine learning systems

Erin Grant

PhD thesis, 2022

The Emergence of Gender Associations in Child Language Development.

Ben Prystawski, Erin Grant, Aida Nematzadeh, Spike W. S. Lee, Suzanne Stevenson, Yang Xu

Cogn. Sci., 2022

Distinguishing rule and exemplar-based generalization in learning systems.

Ishita Dasgupta, Erin Grant, Tom Griffiths

Proceedings of the International Conference on Machine Learning, 2022

2021

Passive attention in artificial neural networks predicts human visual selectivity.

Thomas A. Langlois, H. Charles Zhao, Erin Grant, Ishita Dasgupta, Thomas L. Griffiths, Nori Jacoby

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Are Convolutional Neural Networks or Transformers more like human vision?

Shikhar Tuli, Ishita Dasgupta, Erin Grant, Tom Griffiths

Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021

2020

Context-Conditioning as Cognitive Control: Guiding Meta-learning with Task Information.

Rachit Dubey, Erin Grant, Michael Luo, Karthik Narasimhan, Thomas L. Griffiths

CoRR, 2020

Tracing the Emergence of Gendered Language in Childhood.

Ben Prystawski, Erin Grant, Aida Nematzadeh, Spike W. S. Lee, Suzanne Stevenson, Yang Xu

Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

Universal linguistic inductive biases via meta-learning.

Richard Thomas McCoy, Erin Grant, Paul Smolensky, Tom Griffiths, Tal Linzen

Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

2019

Reconciling meta-learning and continual learning with online mixtures of tasks.

Ghassen Jerfel, Erin Grant, Tom Griffiths, Katherine A. Heller

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Learning deep taxonomic priors for concept learning from few positive examples.

Erin Grant, Joshua C. Peterson, Tom Griffiths

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

2018

Online gradient-based mixtures for transfer modulation in meta-learning.

Ghassen Jerfel, Erin Grant, Thomas L. Griffiths, Katherine A. Heller

CoRR, 2018

Recasting Gradient-Based Meta-Learning as Hierarchical Bayes.

Erin Grant, Chelsea Finn, Sergey Levine, Trevor Darrell, Thomas L. Griffiths

Proceedings of the 6th International Conference on Learning Representations, 2018

Evaluating Theory of Mind in Question Answering.

Aida Nematzadeh, Kaylee Burns, Erin Grant, Alison Gopnik, Thomas L. Griffiths

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Exploiting Attention to Reveal Shortcomings in Memory Models.

Kaylee Burns, Aida Nematzadeh, Erin Grant, Alison Gopnik, Thomas L. Griffiths

Proceedings of the Workshop: Analyzing and Interpreting Neural Networks for NLP, 2018

2017

How Can Memory-Augmented Neural Networks Pass a False-Belief Task?

Erin Grant, Aida Nematzadeh, Thomas L. Griffiths

Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

2016

The Interaction of Memory and Attention in Novel Word Generalization: A Computational Investigation.

Erin Grant, Aida Nematzadeh, Suzanne Stevenson

Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016

2015

A Computational Cognitive Model of Novel Word Generalization.

Aida Nematzadeh, Erin Grant, Suzanne Stevenson

Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

A Computational Account of Novel Word Generalization.

Aida Nematzadeh, Erin Grant, Suzanne Stevenson

Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015