Mary Williamson

Artificial Intelligence · 2020–2023

A researcher in the Science corpus: 7 papers; trusts 177 researchers and is trusted by 34 researchers here, as inferred from the citation graph.

Subfields

Whom Mary Williamson trusts overall

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

  1. Jason Aaron Edward Weston
  2. Emily Dinan
  3. Diederik P. Kingma
  4. Geoffrey E. Hinton
  5. Yoshua Bengio
  6. Ilya Sutskever
  7. Alex Krizhevsky
  8. Alex Graves
  9. Yann LeCun
  10. Kaiming He

Who trusts Mary Williamson overall

  1. Eric Michael Smith
  2. Kurt Shuster
  3. Emily Dinan
  4. Jing Xu
  5. Dian Yu
  6. Jason Aaron Edward Weston
  7. Kushal Arora
  8. Prakhar Gupta
  9. Stephen Roller
  10. Y-Lan Boureau

Papers from Mary Williamson's perspective

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

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

Their papers