Erin Grant

According to our database1, Erin Grant authored at least 22 papers between 2015 and 2023.

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Bibliography

2023
Bayes in the age of intelligent machines.
CoRR, 2023

Getting aligned on representational alignment.
CoRR, 2023

Gaussian Process Surrogate Models for Neural Networks.
Proceedings of the Uncertainty in Artificial Intelligence, 2023

The Transient Nature of Emergent In-Context Learning in Transformers.
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
PhD thesis, 2022

The Emergence of Gender Associations in Child Language Development.
Cogn. Sci., 2022

Distinguishing rule and exemplar-based generalization in learning systems.
Proceedings of the International Conference on Machine Learning, 2022

2021
Passive attention in artificial neural networks predicts human visual selectivity.
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?
Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021

2020
Context-Conditioning as Cognitive Control: Guiding Meta-learning with Task Information.
CoRR, 2020

Tracing the Emergence of Gendered Language in Childhood.
Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

Universal linguistic inductive biases via meta-learning.
Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

2019
Reconciling meta-learning and continual learning with online mixtures of tasks.
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.
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

2018
Online gradient-based mixtures for transfer modulation in meta-learning.
CoRR, 2018

Recasting Gradient-Based Meta-Learning as Hierarchical Bayes.
Proceedings of the 6th International Conference on Learning Representations, 2018

Evaluating Theory of Mind in Question Answering.
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.
Proceedings of the Workshop: Analyzing and Interpreting Neural Networks for NLP, 2018

2017
How Can Memory-Augmented Neural Networks Pass a False-Belief Task?
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.
Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016

2015
A Computational Cognitive Model of Novel Word Generalization.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

A Computational Account of Novel Word Generalization.
Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015


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