Maria Barrett

Artificial Intelligence · 2016–2020

A researcher in the Science corpus: 3 papers; trusts 3 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Maria Barrett trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Yanai Elazar
  2. Osbert Bastani
  3. Guillaume Lample
  4. Alexis Conneau
  5. Yoav Goldberg
  6. Jacob Devlin
  7. Francisco Manuel Rangel Pardo
  8. Geoffrey E. Hinton
  9. Yoshua Bengio
  10. Diederik P. Kingma

Who trusts Maria Barrett overall

  1. Rongzhong Lian
  2. Adina Williams
  3. Eric Michael Smith
  4. Adithya Renduchintala

Papers from Maria Barrett's perspective

Ordered by how strongly the researchers Maria Barrett trusts endorse each paper. Same corpus, a different order for every researcher.

  1. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  2. Attention is All you Need (Neural Information Processing Systems)
  3. ImageNet classification with deep convolutional neural networks
  4. Long Short-Term Memory
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  8. ImageNet: A large-scale hierarchical image database
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Gradient-based learning applied to document recognition

Their papers