Grant, Erin

Are Convolutional Neural Networks or Transformers more like human vision?

Tuli, S., Dasgupta, I., Grant, E., & Griffiths, T. L. (2021) · arXiv

Advanced Neural Network ApplicationsVisual Attention and Saliency Detection

Cited by 119

Evaluating Theory of Mind in Question Answering

Nematzadeh, A., Burns, K., Grant, E., Gopnik, A., & Griffiths, T. (2018) · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing

Topic ModelingChild and Animal Learning Development

Cited by 53

Getting aligned on representational alignment

Sucholutsky, I., Muttenthaler, L., Weller, A., Peng, A., Bobu, A., Kim, B., Love, B. C., Cueva, C. J., Grant, E., Groen, I., et al. (2023) · arXiv

Domain Adaptation and Few-Shot LearningExplainable Artificial Intelligence (XAI)

Cited by 36

Universal linguistic inductive biases via meta-learning

McCoy, R. T., Grant, E., Smolensky, P., Griffiths, T. L., & Linzen, T. (2020) · arXiv

Language Development and DisordersDomain Adaptation and Few-Shot Learning

Cited by 13

Connecting Context-specific Adaptation in Humans to Meta-learning

Dubey, R., Grant, E., Luo, M., Narasimhan, K., & Griffiths, T. (2020) · arXiv

Domain Adaptation and Few-Shot LearningReinforcement Learning in Robotics

Cited by 1