Helen Wright Hastie

Artificial Intelligence · 2012–2021

A researcher in the Science corpus: 9 papers; trusts 52 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

Whom Helen Wright Hastie trusts overall

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

  1. Oriol Vinyals
  2. Verena Rieser
  3. Xingkun Liu
  4. M. Cummings
  5. Yoshua Bengio
  6. Geoffrey E. Hinton
  7. Nava Tintarev
  8. Quoc V. Le
  9. Tomas Mikolov
  10. Pedro Patrón

Who trusts Helen Wright Hastie overall

  1. Javier Chiyah-Garcia
  2. David A. Robb
  3. Pedro Patrón
  4. Atanas Laskov
  5. Stephen Roller
  6. Xingkun Liu
  7. Margaret Li
  8. Jason Aaron Edward Weston
  9. Amanda Cercas Curry
  10. Abigail See

Papers from Helen Wright Hastie's perspective

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

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

Their papers