Sheila Castilho

Natural Language Processing · 2012–2017

A researcher in the Science corpus: 2 papers; trusts 21 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Sheila Castilho trusts overall

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

  1. Philipp Koehn
  2. Chris Callison-Burch
  3. Matthew G. Snover
  4. Franz Joseph Och

Papers from Sheila Castilho's perspective

Ordered by how strongly the researchers Sheila Castilho 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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  3. Attention is All you Need (Neural Information Processing Systems)
  4. Bleu: a Method for Automatic Evaluation of Machine Translation
  5. Long Short-Term Memory
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. ImageNet classification with deep convolutional neural networks
  8. Gradient-based learning applied to document recognition
  9. Show and tell: A neural image caption generator
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers