עקוב אחר
Erin Grant
Erin Grant
Senior Research Fellow, University College London
כתובת אימייל מאומתת בדומיין ucl.ac.uk - דף הבית
כותרת
צוטט על ידי
צוטט על ידי
שנה
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
6532018
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
2282021
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
1502019
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
148*2019
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
962018
Getting aligned on representational alignment‏
I Sucholutsky, L Muttenthaler, A Weller, A Peng, A Bobu, B Kim, BC Love, ...‏
arXiv preprint arXiv:2310.13018, 2023‏
552023
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
312020
The transient nature of emergent in-context learning in transformers‏
AK Singh, SCY Chan, T Moskovitz, E Grant, AM Saxe, F Hill‏
Advances in Neural Information Processing Systems (NeurIPS), 2023‏
272023
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
232017
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
182021
Distinguishing rule-and exemplar-based generalization in learning systems‏
I Dasgupta*, E Grant*, TL Griffiths‏
International Conference on Machine Learning (ICML), 2022‏
102022
Bayes in the age of intelligent machines‏
TL Griffiths, JQ Zhu, E Grant, R Thomas McCoy‏
Current Directions in Psychological Science, 2024‏
82024
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
82018
Gaussian process surrogate models for neural networks‏
MY Li, E Grant, TL Griffiths‏
Conference on Uncertainty in Artificial Intelligence (UAI), 2023‏
7*2023
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
62019
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
The emergence of gender associations in child language development‏
B Prystawski, E Grant, A Nematzadeh, SWS Lee, S Stevenson, Y Xu‏
Cognitive Science, 2022‏
52022
Predicting generalization with degrees of freedom in neural networks‏
E Grant, Y Wu‏
ICML 2022 2nd AI for Science Workshop, 2022‏
42022
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
22020
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
המערכת אינה יכולה לבצע את הפעולה כעת. נסה שוב מאוחר יותר.
מאמרים 1–20