Erin Grant
Publications by Year
Research Areas
Domain Adaptation and Few-Shot Learning, Topic Modeling, Natural Language Processing Techniques, Neural Networks and Applications, Machine Learning and Data Classification
Most-Cited Works
- → Recasting Gradient-Based Meta-Learning as Hierarchical Bayes(2018)167 cited
- → Doing more with less: meta-reasoning and meta-learning in humans and machines(2019)131 cited
- → Are Convolutional Neural Networks or Transformers more like human\n vision?(2021)99 cited
- → Evaluating Theory of Mind in Question Answering(2018)53 cited
- → Getting aligned on representational alignment(2023)34 cited
- → Reconciling meta-learning and continual learning with online mixtures of\n tasks(2018)17 cited
- → Universal linguistic inductive biases via meta-learning(2020)15 cited
- How Can Memory-Augmented Neural Networks Pass a False-Belief Task?(2017)