Rebecca Sharp

Artificial Intelligence · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 24 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Rebecca Sharp trusts overall

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

  1. Ankur P. Parikh
  2. Stephen E. Robertson
  3. Edward Loper
  4. Christopher D. Manning
  5. Yoshua Bengio
  6. Been Kim
  7. Yi Yang
  8. Dzmitry Bahdanau
  9. Jeffrey Pennington
  10. Peter Clark

Who trusts Rebecca Sharp overall

  1. Vikas Yadav
  2. Steven Bethard
  3. James Thorne
  4. Xiaoman Pan
  5. Harsh Jhamtani

Papers from Rebecca Sharp's perspective

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

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

Their papers