Bonnie Lynn Webber

Natural Language Processing · 2003–2020

A researcher in the Science corpus: 7 papers; trusts 49 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

Whom Bonnie Lynn Webber trusts overall

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

  1. Franz Joseph Och
  2. David Chiang
  3. Diederik P. Kingma
  4. Sepp Hochreiter
  5. Geoffrey E. Hinton
  6. Ilya Sutskever
  7. Yoshua Bengio
  8. Richard Socher
  9. Qin Gao
  10. J. Urgen Schmidhuber

Who trusts Bonnie Lynn Webber overall

  1. Rico Sennrich
  2. Tanya Goyal

Papers from Bonnie Lynn Webber's perspective

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

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

Their papers