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Erin Grant
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Cited by
Year
Recasting gradient-based meta-learning as hierarchical Bayes
E Grant, C Finn, S Levine, T Darrell, TL Griffiths
International Conference on Learning Representations (ICLR), 2018
3812018
Reconciling meta-learning and continual learning with online mixtures of tasks
G Jerfel*, E Grant*, TL Griffiths, K Heller
Advances in Neural Information Processing Systems (NeurIPS), 2019
79*2019
Doing more with less: Meta-reasoning and meta-learning in humans and machines
TL Griffiths, F Callaway, MB Chang, E Grant, PM Krueger, F Lieder
Current Opinion in Behavioral Sciences 29, 24-30, 2019
542019
Evaluating theory of mind in question answering
A Nematzadeh, K Burns, E Grant, A Gopnik, TL Griffiths
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2018
282018
Are convolutional neural networks or transformers more like human vision?
S Tuli, I Dasgupta, E Grant, TL Griffiths
Annual Meeting of the Cognitive Science Society (CogSci), 2021
242021
Universal linguistic inductive biases via meta-learning
RT McCoy, E Grant, P Smolensky, TL Griffiths, T Linzen
Annual Meeting of the Cognitive Science Society (CogSci), 2020
112020
Exploiting attention to reveal shortcomings in memory models
K Burns, A Nematzadeh, E Grant, A Gopnik, TL Griffiths
EMNLP Workshop on BlackboxNLP: Analyzing and Interpreting Neural Networks …, 2018
72018
A computational cognitive model of novel word generalization
A Nematzadeh, E Grant, S Stevenson
Conference on Empirical Methods in Natural Language Processing (EMNLP), 1795 …, 2015
62015
How can memory-augmented neural networks pass a false-belief task?
E Grant, A Nematzadeh, TL Griffiths
Annual Meeting of the Cognitive Science Society (CogSci), 2017
42017
Learning deep taxonomic priors for concept learning from few positive examples
E Grant, JC Peterson, TL Griffiths
Annual Meeting of the Cognitive Science Society (CogSci), 2019
32019
The interaction of memory and attention in novel word generalization: A computational investigation
E Grant, A Nematzadeh, S Stevenson
Annual Meeting of the Cognitive Science Society (CogSci), 2016
22016
Passive attention in artificial neural networks predicts human visual selectivity
TA Langlois, HC Zhao, E Grant, I Dasgupta, TL Griffiths, N Jacoby
Advances in Neural Information Processing Systems (NeurIPS), 2021
12021
Distinguishing rule-and exemplar-based generalization in learning systems
I Dasgupta*, E Grant*, TL Griffiths
arXiv preprint arXiv:2110.04328, 2021
12021
Concept acquisition through meta-learning
E Grant, C Finn, J Peterson, J Abbott, S Levine, T Darrell, TL Griffiths
NeurIPS Workshop on Cognitively Informed Artificial Intelligence, 2017
12017
Meta-learning inductive biases of learning systems with Gaussian processes
MY Li, E Grant, TL Griffiths
Fifth Workshop on Meta-Learning at the Conference on Neural Information …, 2021
2021
Connecting context-specific adaptation in humans to meta-learning
R Dubey, E Grant, M Luo, K Narasimhan, T Griffiths
arXiv e-prints, arXiv: 2011.13782, 2020
2020
Tracing the emergence of gendered language in childhood
B Prystawski, E Grant, A Nematzadeh, SWS Lee, S Stevenson, Y Xu
Annual Meeting of the Cognitive Science Society (CogSci), 2020
2020
Generalization in planning by metalearning to metareason
F Callaway, B van Opheusden, E Grant, TL Griffiths
AAAI Workshop on Generalization in Planning, 2020
2020
The emergence of gender associations in child language development
B Prystawski, E Grant, A Nematzadeh, SWS Lee, S Stevenson, Y Xu
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Articles 1–19